diff --git "a/all.csv" "b/all.csv"
new file mode 100644--- /dev/null
+++ "b/all.csv"
@@ -0,0 +1,178180 @@
+market,category,question,answer,difficulty,sub-category,formula,data,data_indicator
+CN,fundamental,德业股份2024年的毛利率是？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,38.7632,easy,profitability,(营业收入 - 营业成本) / 营业收入 * 100%,"year,营业收入,营业成本
+2024,11206467574.84,6862480940.47
+",
+CN,fundamental,2020年紫光股份的毛利率是？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,19.7122,easy,profitability,(营业收入 - 营业成本) / 营业收入 * 100%,"year,营业收入,营业成本
+2020,60083923906.8,48240059774.35
+",
+CN,fundamental,合盛硅业的毛利率在2025年是多少？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,7.2874,easy,profitability,(营业收入 - 营业成本) / 营业收入 * 100%,"year,营业收入,营业成本
+2025,20498545487.94,19004725882.9
+",
+CN,fundamental,对于毛利率，上海莱士在2020年的值是？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,61.9752,easy,profitability,(营业收入 - 营业成本) / 营业收入 * 100%,"year,营业收入,营业成本
+2020,2761682036.39,1050123130.86
+",
+CN,fundamental,计算2017年度中航机载的毛利率。（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,32.2627,easy,profitability,(营业收入 - 营业成本) / 营业收入 * 100%,"year,营业收入,营业成本
+2017,7023114803.84,4757267783.21
+",
+CN,fundamental,迈瑞医疗2020年的EBIT利润率是？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,35.3776,easy,profitability,(利润总额 + 利息支出) / 营业收入 * 100%,"year,营业收入,利润总额,财务费用——利息费用
+2020,21025846389.0,7438440275.0,0.0
+",
+CN,fundamental,2022年赛力斯的EBIT利润率是？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-13.4885,easy,profitability,(利润总额 + 利息支出) / 营业收入 * 100%,"year,营业收入,利润总额,财务费用——利息费用
+2022,34104996188.52,-4930410009.11,330170794.19
+",
+CN,fundamental,新希望的EBIT利润率在2017年是多少？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,5.6259,easy,profitability,(利润总额 + 利息支出) / 营业收入 * 100%,"year,营业收入,利润总额,财务费用——利息费用
+2017,62566848592.71,3211011868.32,308941379.52
+",
+CN,fundamental,对于EBIT利润率，芒果超媒在2016年的值是？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.9924,easy,profitability,(利润总额 + 利息支出) / 营业收入 * 100%,"year,营业收入,利润总额,财务费用——利息费用
+2016,3219279125.21,64142019.33,0.0
+",
+CN,fundamental,计算2024年度智飞生物的EBIT利润率。（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,8.9214,easy,profitability,(利润总额 + 利息支出) / 营业收入 * 100%,"year,营业收入,利润总额,财务费用——利息费用
+2024,26049233909.14,2162644237.86,161321690.78
+",
+CN,fundamental,中国海油2023年的EBITDA利润率是？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,58.6507,easy,profitability,(利润总额 + 利息支出 + 折旧与摊销) / 营业收入 * 100%,"year,营业收入,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+2023,416609000000.0,172974000000.0,2423000000.0,67882000000.0,900000000.0,165000000.0
+",
+CN,fundamental,2020年赛轮轮胎的EBITDA利润率是？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,17.8737,easy,profitability,(利润总额 + 利息支出 + 折旧与摊销) / 营业收入 * 100%,"year,营业收入,利润总额,财务费用——利息费��,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+2020,15404989184.81,1721031432.96,262153951.14,665428502.11,28086958.26,76745486.78
+",
+CN,fundamental,中科曙光的EBITDA利润率在2016年是多少？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,8.1841,easy,profitability,(利润总额 + 利息支出 + 折旧与摊销) / 营业收入 * 100%,"year,营业收入,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+2016,4360148547.55,280838156.23,0.0,56175554.59,18325827.97,1499031.37
+",
+CN,fundamental,对于EBITDA利润率，中远海控在2023年的值是？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,32.0082,easy,profitability,(利润总额 + 利息支出 + 折旧与摊销) / 营业收入 * 100%,"year,营业收入,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+2023,175452975431.13,33079791412.51,3592759562.93,18948943626.66,381163412.12,156755582.84
+",
+CN,fundamental,计算2019年度中国建筑的EBITDA利润率。（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,7.1129,easy,profitability,(利润总额 + 利息支出 + 折旧与摊销) / 营业收入 * 100%,"year,营业收入,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+2019,1419836588000.0,81467846000.0,10476405000.0,8261361000.0,447821000.0,338210000.0
+",
+CN,fundamental,宝信软件2020年的净利率是？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,13.9651,easy,profitability,净利润 / 营业收入 * 100%,"year,营业收入,净利润
+2020,10225041913.62,1427937644.67
+",
+CN,fundamental,2021年藏格矿业的净利率是？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,39.401,easy,profitability,净利润 / 营业收入 * 100%,"year,营业收入,净利润
+2021,3622594323.02,1427339931.06
+",
+CN,fundamental,TCL中环的净利率在2022年是多少？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,10.5552,easy,profitability,净利润 / 营业收入 * 100%,"year,营业收入,净利润
+2022,67010157024.98,7073042749.54
+",
+CN,fundamental,对于净利率，兴业证券在2019年的值是？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,13.4411,easy,profitability,净利润 / 营业收入 * 100%,"year,营业收入,净利润
+2019,14249535861.49,1915292414.76
+",
+CN,fundamental,计算2021年度天坛生物的净利率。（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,25.9916,easy,profitability,净利润 / 营业收入 * 100%,"year,营业收入,净利润
+2021,4112155621.36,1068813818.4
+",
+CN,fundamental,上海莱士2016年的净资产收益率是？（单位：%；按归属于母公司的计算；所有者权益按期末值计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,13.7773,easy,profitability,净利润 / 所有者权益 * 100%,"year,归属于母公司所有者的净利润,归属于母公司所有者权益合计
+2016,1613153629.12,11708763369.19
+",
+CN,fundamental,2025年盐湖股份的净资产收益率是？（单位：%；按归属于母公司的计算；所有者权益按期末值计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,18.3156,easy,profitability,净利润 / 所有者权益 * 100%,"year,归属于母公司所有者的净利润,归属于母公司所有者权益合计
+2025,8475535262.69,46274967430.36
+",
+CN,fundamental,五粮液的净资产收益率在2022年是多少？（单位：%；按归属于母公司的计算；所有者权益按期末值计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,23.4065,easy,profitability,净利润 / 所有者权益 * 100%,"year,归属于母公司所有者的净利润,归属于母公司所有者权益合计
+2022,26689983647.2,114027897212.18
+",
+CN,fundamental,对于净资产收益率，国投电力在2019年的值是？（单位：%；按归属于母公司的计算；所有者权益按期末值计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,11.776,easy,profitability,净利润 / 所有者权益 * 100%,"year,归属于母公司所有者的净利润,归属于母公司所有者权益合计
+2019,4755460882.37,40382512223.65
+",
+CN,fundamental,计算2025年度华大九天的净资产收益率。（单位：%；按归属于母公司的计算；所有者权益按期末值计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.1611,easy,profitability,净利润 / 所有者权益 * 100%,"year,归属于母公司所有者的净利润,归属于母公司所有者权益合计
+2025,60983525.27,5252047481.67
+",
+CN,fundamental,青岛港2024年的总资产收益率是？（单位：%；总资产按期末值计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,9.1351,easy,profitability,净利润 / 总资产 * 100%,"year,净利润,资产合计
+2024,5732264385.0,62749753460.0
+",
+CN,fundamental,2024年华电国际的总资产收益率是？（单位：%；总资产按期末值计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.8296,easy,profitability,净利润 / 总资产 * 100%,"year,净利润,资产合计
+2024,7509802000.0,265401631000.0
+",
+CN,fundamental,京沪高铁的总资产收益率在2025年是多少？（单位：%；总资产按期末值计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,4.586,easy,profitability,净利润 / 总资产 * 100%,"year,净利润,资产合计
+2025,13204724664.79,287938421202.66
+",
+CN,fundamental,对于总资产收益率，中芯国际在2020年的值是？（单位：%；总资产按期末值计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.9654,easy,profitability,净利润 / 总资产 * 100%,"year,净利润,资产合计
+2020,4021326000.0,204601654000.0
+",
+CN,fundamental,计算2022年度信达证券的总资产收益率。（单位：%；总资产按期末值计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.005,easy,profitability,净利润 / 总资产 * 100%,"year,净利润,资产合计
+2022,1318275475.08,65750409154.18
+",
+CN,fundamental,新希望2017年的投入资本回报率是？（单位：%；投入资本用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,10.6833,easy,profitability,ROIC = NOPAT / 平均投入资本 * 100%；NOPAT = (利润总额 + 利息支出) × (1 - 所得税费用 / 利润总额)；投入资本 = 股东权益 + 有息负债（短期借款 + 长期借款 + 应付债券 + 一年内到期非流动负债 + 租赁负债 + 应付利息）- 金融资产（货币资金 + 交易性金融资产 + 其他权益工具投资 + 其他债权投资 + 债权投资 + 衍生金融资产 + 买入返售金融资产）,"year,利润总额,财务费用——利息费用,所得税费用,股东权益合计,短期借款,长期借款,应付债券,一年内到期的非流动负债,租赁负债,应付利息,货币资金,交易性金融资产,其他权益工具投资,其他债权投资,债权投资,衍生金融资产,买入返售金融资产
+2016,3271004645.6,0.0,138565989.41,25549076470.56,2081103417.92,846446878.0,1997315051.9,708708263.83,0.0,19269042.86,3134101696.66,10820007.38,0.0,0.0,0.0,0.0,0.0
+2017,3211011868.32,308941379.52,278801897.73,26234700397.73,6130678336.62,616535863.4,1997438679.99,182600269.79,0.0,31615608.76,3070521265.39,5525578.31,0.0,0.0,0.0,0.0,0.0
+",
+CN,fundamental,2025年中国石油的投入资本回报率是？（单位：%；投入资本用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,9.8383,easy,profitability,ROIC = NOPAT / 平均投入资本 * 100%；NOPAT = (利润总额 + 利息支出) × (1 - 所得税费用 / 利润总额)；投入资本 = 股东权益 + 有息负债（短期借款 + 长期借款 + 应付债券 + 一年内到期非流动负债 + 租赁负债 + 应付利息）- 金融���产（货币资金 + 交易性金融资产 + 其他权益工具投资 + 其他债权投资 + 债权投资 + 衍生金融资产 + 买入返售金融资产）,"year,利润总额,财务费用——利息费用,所得税费用,股东权益合计,短期借款,长期借款,应付债券,一年内到期的非流动负债,租赁负债,应付利息,货币资金,交易性金融资产,其他权益工具投资,其他债权投资,债权投资,衍生金融资产,买入返售金融资产
+2024,241502000000.0,20731000000.0,57755000000.0,1709863000000.0,45955000000.0,74072000000.0,24000000000.0,101757000000.0,109968000000.0,0.0,216246000000.0,2816000000.0,707000000.0,0.0,0.0,9020000000.0,0.0
+2025,226149000000.0,17567000000.0,54144000000.0,1830774000000.0,34513000000.0,151062000000.0,15000000000.0,39467000000.0,116365000000.0,0.0,238909000000.0,6175000000.0,1324000000.0,0.0,0.0,9342000000.0,0.0
+",
+CN,fundamental,京东方A的投入资本回报率在2025年是多少？（单位：%；投入资本用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.6839,easy,profitability,ROIC = NOPAT / 平均投入资本 * 100%；NOPAT = (利润总额 + 利息支出) × (1 - 所得税费用 / 利润总额)；投入资本 = 股东权益 + 有息负债（短期借款 + 长期借款 + 应付债券 + 一年内到期非流动负债 + 租赁负债 + 应付利息）- 金融资产（货币资金 + 交易性金融资产 + 其他权益工具投资 + 其他债权投资 + 债权投资 + 衍生金融资产 + 买入返售金融资产）,"year,利润总额,财务费用——利息费用,所得税费用,股东权益合计,短期借款,长期借款,应付债券,一年内到期的非流动负债,租赁负债,应付利息,货币资金,交易性金融资产,其他权益工具投资,其他债权投资,债权投资,衍生金融资产,买入返售金融资产
+2024,5085653633.0,4033259880.0,940379751.0,204546171744.0,1563317166.0,100932391740.0,0.0,43506539611.0,631418986.0,0.0,74252625215.0,3116435963.0,441371815.0,0.0,0.0,0.0,0.0
+2025,7034201130.0,3292142233.0,2006827561.0,207475756733.0,3655021437.0,101576573473.0,10968768052.0,26670312919.0,687762666.0,0.0,72222940175.0,1670548730.0,536217192.0,0.0,0.0,0.0,0.0
+",
+CN,fundamental,对于投入资本回报率，卫星化学在2022年的值是？（单位：%；投入资本用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,10.0447,easy,profitability,ROIC = NOPAT / 平均投入资本 * 100%；NOPAT = (利润总额 + 利息支出) × (1 - 所得税费用 / 利润总额)；投入资本 = 股东权益 + 有息负债（短期借款 + 长期借款 + 应付债券 + 一年内到期非流动负债 + 租赁负债 + 应付利息）- 金融资产（货币资金 + 交易性金融资产 + 其他权益工具投资 + 其他债权投资 + 债权投资 + 衍生金融资产 + 买入返售金融资产）,"year,利润总额,财务费用——利息费用,所得税费用,股东权益合计,短期借款,长期借款,应付债券,一年内到期的非流动负债,租赁负债,应付利息,货币资金,交易性金融资产,其他权益工具投资,其他债权投资,债权投资,衍生金融资产,买入返售金融资产
+2021,6993200380.24,557069969.96,980410929.99,19381480071.23,1422737776.67,13474183315.58,576315694.6,941732380.62,6088323714.87,0.0,9641378850.02,55363187.5,34541827.06,0.0,0.0,0.0,0.0
+2022,3445015456.73,858364515.84,334418797.84,22193703597.22,1076584613.37,11981505168.73,0.0,1274083214.65,14305949160.67,0.0,5553659232.5,27561732.76,7000000.0,0.0,30000000.0,0.0,0.0
+",
+CN,fundamental,计算2021年度招商蛇口的投入资本回报率。（单位：%；投入资本用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,5.2662,easy,profitability,ROIC = NOPAT / 平均投入资本 * 100%；NOPAT = (利润总额 + 利息支出) × (1 - 所得税费用 / 利润总额)；投入资本 = 股东权益 + 有息负债（短期借款 + 长期借款 + 应付债券 + 一年内到期非流动负债 + 租赁负债 + 应付利息）- 金融资产（货币资金 + 交易性金融资产 + 其他权益工具投资 + 其他债权投资 + 债权投资 + 衍生金融资产 + 买入返售金融资产）,"year,利润总额,财务费用——利息费用,所得税费用,股东权益合计,短期借款,长期借款,应付债券,一年内到期的非流动负债,租赁负债,应付利息,货币资金,交易性金融资产,其他权益工具投资,其他债权投资,债权投资,衍生金融资产,买入返售金融资产
+2020,24109433191.38,4405065423.32,7196131140.76,253357146819.19,17716780730.2,77715025875.13,22640727000.0,37791311776.04,410938717.17,0.0,89305675362.73,0.0,2571081.18,0.0,0.0,0.0,0.0
+2021,22842599612.88,4488220982.41,7640862538.18,276755186003.88,3628062315.14,107779676128.58,26104502000.0,33570170014.37,2233119075.21,0.0,79533031631.89,95460998.85,0.0,0.0,0.0,0.0,0.0
+",
+CN,fundamental,康龙化成2018年的存货周转天数是？（存货用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,19.9309,easy,operational efficiency,平均存货 / 营业成本 * 365,"year,营业成本,存货
+2017,1520496421.54,93266692.26
+2018,1957031166.9,120461661.05
+",
+CN,fundamental,2020年中煤能源的存货周转天数是？（存货用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,23.8696,easy,operational efficiency,平均存货 / 营业成本 * 365,"year,营业成本,存货
+2019,93208133000.0,8170403000.0
+2020,116436455000.0,7058610000.0
+",
+CN,fundamental,中国海油的存货周转天数在2023年是多少？（存货用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,11.0919,easy,operational efficiency,平均存货 / 营业成本 * 365,"year,营业成本,存货
+2022,198223000000.0,6239000000.0
+2023,208794000000.0,6451000000.0
+",
+CN,fundamental,对于存货周转天数，亿纬锂能在2019年的值是？（存货用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,94.3634,easy,operational efficiency,平均存货 / 营业成本 * 365,"year,营业成本,存货
+2018,3318315250.99,1200328696.8
+2019,4506351088.81,1129723669.83
+",
+CN,fundamental,计算2023年度海螺水泥的存货周转天数。（存货用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,33.8423,easy,operational efficiency,平均存货 / 营业成本 * 365,"year,营业成本,存货
+2022,103897170309.0,11678994640.0
+2023,117745645658.0,10155441636.0
+",
+CN,fundamental,华利集团2023年的应收账款周转天数是？（使用应收票据及应收账款，用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,62.4207,easy,operational efficiency,平均应收票据及应收账款 / 营业收入 * 365,"year,营业收入,应收票据及应收账款
+2022,20569267348.44,3114675336.4
+2023,20113741026.09,3764847381.21
+",
+CN,fundamental,2020年华润微的应收账款周转天数是？（使用应收票据及应收账款，用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,59.5279,easy,operational efficiency,平均应收票据及应收账款 / 营业收入 * 365,"year,营业收入,应收票据及应收账款
+2019,5742784130.7,1005963323.1
+2020,6977259188.03,1269880956.38
+",
+CN,fundamental,三峡能源的应收账款周转天数在2024年是多少？（使用应收票据及应收账款，用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,500.7075,easy,operational efficiency,平均应收票据及应收账款 / 营业收入 * 365,"year,营业收入,应收票据及应收账款
+2023,26501574113.98,36737568210.63
+2024,29717044357.67,44794189111.1
+",
+CN,fundamental,对于应收账款周转天数，上海莱士在2025年的值是？（使用应收票据及应收账款，用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,83.9472,easy,operational efficiency,平均应收票据及应收账款 / 营业收入 * 365,"year,营业收入,应收票据及应收账款
+2024,8176460048.6,1398534714.31
+2025,7348183033.4,1981514873.81
+",
+CN,fundamental,计算2017年度正泰电器的应收账款周转天数。（使用应收票据及应收账款，用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,126.5994,easy,operational efficiency,平均应收票据及应收账款 / 营业收入 * 365,"year,营业收入,应收票据及应收账款
+2016,20164545252.65,7381168456.62
+2017,23416550017.47,8862787551.65
+",
+CN,fundamental,长春高新2024年的应付账款周转天数是？（使��应付票据及应付账款，用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,148.3487,easy,operational efficiency,平均应付票据及应付账款 / 营业成本 * 365,"year,营业成本,应付票据及应付账款
+2023,2043949906.12,791065187.26
+2024,1922614260.08,771768991.37
+",
+CN,fundamental,2024年立讯精密的应付账款周转天数是？（使用应付票据及应付账款，用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,85.1589,easy,operational efficiency,平均应付票据及应付账款 / 营业成本 * 365,"year,营业成本,应付票据及应付账款
+2023,205041300458.59,46401101195.46
+2024,240809417980.59,65966328850.58
+",
+CN,fundamental,百利天恒的应付账款周转天数在2021年是多少？（使用应付票据及应付账款，用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,129.69,easy,operational efficiency,平均应付票据及应付账款 / 营业成本 * 365,"year,营业成本,应付票据及应付账款
+2020,200943930.98,67955332.97
+2021,197725103.8,72554087.69
+",
+CN,fundamental,对于应付账款周转天数，今世缘在2023年的值是？（使用应付票据及应付账款，用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,187.8653,easy,operational efficiency,平均应付票据及应付账款 / 营业成本 * 365,"year,营业成本,应付票据及应付账款
+2022,1845479669.72,1081250907.26
+2023,2187172033.51,1170221646.2
+",
+CN,fundamental,计算2024年度上港集团的应付账款周转天数。（使用应付票据及应付账款，用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,95.1489,easy,operational efficiency,平均应付票据及应付账款 / 营业成本 * 365,"year,营业成本,应付票据及应付账款
+2023,23506847972.95,6639727935.47
+2024,24583672965.35,6177315939.6
+",
+CN,fundamental,中国中车2018年的营业周期是？（计算应收账款周转天数时，使用应收票据及应收账款；存货和应收票据及应收账款都用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,271.7361,easy,operational efficiency,存货周转天数 + 应收账款周转天数,"year,营业成本,存货,营业收入,应收票据及应收账款
+2017,163154065000.0,55234835000.0,211012935000.0,104745796000.0
+2018,170526021000.0,55121500000.0,219082641000.0,79680709000.0
+",
+CN,fundamental,2023年新产业的营业周期是？（计算应收账款周转天数时，使用应收票据及应收账款；存货和应收票据及应收账款都用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,352.9437,easy,operational efficiency,存货周转天数 + 应收账款周转天数,"year,营业成本,存货,营业收入,应收票据及应收账款
+2022,906203204.78,839329252.42,3046955734.5,479965455.75
+2023,1063651829.98,916787649.24,3929655726.27,631782379.31
+",
+CN,fundamental,山东黄金的营业周期在2018年是多少？（计算应收账款周转天数时，使用应收票据及应收账款；存货和应收票据及应收账款都用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,25.442,easy,operational efficiency,存货周转天数 + 应收账款周转天数,"year,营业成本,存货,营业收入,应收票据及应收账款
+2017,46412368965.8,3102217624.57,51041303382.75,145729152.43
+2018,51370691875.89,3385381939.36,56256475809.05,592270228.99
+",
+CN,fundamental,对于营业周期，片仔癀在2025年的值是？（计算应收账款周转天数时，使用应收票据及应收账款；存货和应收票据及应收账款都用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,405.2272,easy,operational efficiency,存货周转天数 + 应收账款周转天数,"year,营业成本,存货,营业收入,应收票据及应收账款
+2024,6177642772.24,4967131939.5,10787863091.37,862208520.28
+2025,5722504066.83,6678981146.15,9001411806.06,805574542.71
+",
+CN,fundamental,计算2020年度恒立液压的营业周期。（计算应收账款周转天数时，使用应收票据及应收账款；存货和应收票据及应收账款都用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,157.4606,easy,operational efficiency,存货周转天数 + 应收账款周转天数,"year,营业成本,存货,营业收入,应收票据及应收账款
+2019,3369400383.4,997224172.42,5414021975.86,1051770755.73
+2020,4391049320.56,1217028164.13,7855038369.93,1764518515.59
+",
+CN,fundamental,中航沈飞2019年的现金周转期是？（计算应收账款周转天数时，使用应收票据及应收账款；计算应付账款周转天数时，使用应付票据及应付账款；存货、应收票据及应收账款和应付票据及应付账款都用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,54.6752,easy,operational efficiency,存货周转天数 + 应收账款周转天数 - 应付账款周转天数,"year,营业成本,存货,营业收入,应收票据及应收账款,应付票据及应付账款
+2018,18319023386.21,9770728250.62,20150864638.56,2387267166.27,8770566474.8
+2019,21646571261.48,10485832542.58,23760860873.2,4079824103.67,10892530103.57
+",
+CN,fundamental,2025年海螺水泥的现金周转期是？（计算应收账款周转天数时，使用应收票据及应收账款；计算应付账款周转天数时，使用应付票据及应付账款；存货、应收票据及应收账款和应付票据及应付账款都用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,53.1676,easy,operational efficiency,存货周转天数 + 应收账款周转天数 - 应付账款周转天数,"year,营业成本,存货,营业收入,应收票据及应收账款,应付票据及应付账款
+2024,71272048885.0,8108520343.0,91029615303.0,9686205189.0,6127054565.0
+2025,62589049730.0,7596948434.0,82532050796.0,8725865140.0,5307390156.0
+",
+CN,fundamental,正泰电器的现金周转期在2024年是多少？（计算应收账款周转天数时，使用应收票据及应收账款；计算应付账款周转天数时，使用应付票据及应付账款；存货、应收票据及应收账款和应付票据及应付账款都用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,253.3273,easy,operational efficiency,存货周转天数 + 应收账款周转天数 - 应付账款周转天数,"year,营业成本,存货,营业收入,应收票据及应收账款,应付票据及应付账款
+2023,44734170805.82,37943634229.42,57250814312.46,16228249204.15,19336161239.35
+2024,49355307123.75,44560792406.95,64519386988.41,16991354923.42,20070369821.94
+",
+CN,fundamental,对于现金周转期，拓普集团在2025年的值是？（计算应收账款周转天数时，使用应收票据及应收账款；计算应付账款周转天数时，使用应付票据及应付账款；存货、应收票据及应收账款和应付票据及应付账款都用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-20.7184,easy,operational efficiency,存货周转天数 + 应收账款周转天数 - 应付账款周转天数,"year,营业成本,存货,营业收入,应收票据及应收账款,应付票据及应付账款
+2024,21066746134.44,4000058158.99,26600328450.94,6450255881.75,9338698467.45
+2025,23834162657.1,4716826854.45,29581458675.27,7341591205.35,13196235243.62
+",
+CN,fundamental,计算2022年度中国船舶的现金周转期。（计算应收账款周转天数时，使用应收票据及应收账款；计算应付账款周转天数时，使用应付票据及应付账款；存货、应收票据及应收账款和应付票据及应付账款都用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,55.2601,easy,operational efficiency,存货周转天数 + 应收账款周转天数 - 应付账款周转天数,"year,营业成本,存货,营业收入,应收票据及应收账款,应付票据及应付账款
+2021,53408697897.49,32686983385.42,59740426346.26,5017351030.45,29711445061.75
+2022,54915580349.8,32390581639.21,59485232361.36,3955397465.25,27021400515.07
+",
+CN,fundamental,中际旭创2023年的存货周转率是？（存货用期初期末平均值）按中���会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.7554,easy,operational efficiency,营业成本 / 平均存货,"year,营业成本,存货
+2022,6815591676.6,3887952384.13
+2023,7181877357.45,4294660216.0
+",
+CN,fundamental,2020年华域汽车的存货周转率是？（存货用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,7.6299,easy,operational efficiency,营业成本 / 平均存货,"year,营业成本,存货
+2019,123195390493.44,11116458345.19
+2020,114214268306.77,18822115540.03
+",
+CN,fundamental,中远海控的存货周转率在2018年是多少？（存货用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,34.3967,easy,operational efficiency,营业成本 / 平均存货,"year,营业成本,存货
+2017,82604636637.88,2330220764.04
+2018,110604882878.24,4100906309.22
+",
+CN,fundamental,对于存货周转率，中航成飞在2018年的值是？（存货用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.4961,easy,operational efficiency,营业成本 / 平均存货,"year,营业成本,存货
+2017,757592114.26,358039200.18
+2018,853565058.36,325886764.39
+",
+CN,fundamental,计算2024年度徐工机械的存货周转率。（存货用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.2077,easy,operational efficiency,营业成本 / 平均存货,"year,营业成本,存货
+2023,73532949275.39,32378420106.53
+2024,72039456114.93,32883066970.38
+",
+CN,fundamental,温氏股份2025年的应收账款周转率是？（使用应收票据及应收账款，用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,99.1264,easy,operational efficiency,营业收入 / 平均应收票据及应收账款,"year,营业收入,应收票据及应收账款
+2024,105583714275.85,1007191976.12
+2025,103824483312.07,1087597278.14
+",
+CN,fundamental,2017年中国东航的应收账款周转率是？（使用应收票据及应收账款，用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,42.5255,easy,operational efficiency,营业收入 / 平均应收票据及应收账款,"year,营业收入,应收票据及应收账款
+2016,98560000000.0,2660000000.0
+2017,101721000000.0,2124000000.0
+",
+CN,fundamental,国电南瑞的应收账款周转率在2023年是多少？（使用应收票据及应收账款，用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.0922,easy,operational efficiency,营业收入 / 平均应收票据及应收账款,"year,营业收入,应收票据及应收账款
+2022,46828962926.94,22841188300.75
+2023,51655248318.66,26538355979.62
+",
+CN,fundamental,对于应收账款周转率，比亚迪在2025年的值是？（使用应收票据及应收账款，用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,16.192,easy,operational efficiency,营业收入 / 平均应收票据及应收账款,"year,营业收入,应收票据及应收账款
+2024,777102455000.0,62298988000.0
+2025,803964958000.0,37004685000.0
+",
+CN,fundamental,计算2023年度盐湖股份的应收账款周转率。（使用应收票据及应收账款，用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.2674,easy,operational efficiency,营业收入 / 平均应收票据及应收账款,"year,营业收入,应收票据及应收账款
+2022,30739479869.57,6338117111.19
+2023,21578504361.18,6870209199.8
+",
+CN,fundamental,中微公司2024年的应付账款周转率是？（使用应付票据及应付账款，用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.5798,easy,operational efficiency,营业成本 / 平均应付票据及应付账款,"year,营业成本,应付票据及应付账款
+2023,3519323568.35,1305110382.45
+2024,5342977540.4,1679974308.81
+",
+CN,fundamental,2024年泸州老窖的应付账款周转率是？（使用应付票据及应付账款，用期初期末平均值）按���国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.8507,easy,operational efficiency,营业成本 / 平均应付票据及应付账款,"year,营业成本,应付票据及应付账款
+2023,3537151403.15,2357223733.21
+2024,3888116183.93,1844497206.78
+",
+CN,fundamental,天合光能的应付账款周转率在2024年是多少？（使用应付票据及应付账款，用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.0133,easy,operational efficiency,营业成本 / 平均应付票据及应付账款,"year,营业成本,应付票据及应付账款
+2023,96389026411.37,39644085590.72
+2024,72601793195.73,32476592277.4
+",
+CN,fundamental,对于应付账款周转率，中油资本在2023年的值是？（使用应付票据及应付账款，用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,16.2909,easy,operational efficiency,营业成本 / 平均应付票据及应付账款,"year,营业成本,应付票据及应付账款
+2022,550950598.63,31743588.9
+2023,585697382.43,40161345.9
+",
+CN,fundamental,计算2018年度复星医药的应付账款周转率。（使用应付票据及应付账款，用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,5.0376,easy,operational efficiency,营业成本 / 平均应付票据及应付账款,"year,营业成本,应付票据及应付账款
+2017,7608953151.59,1781883469.05
+2018,10365308680.07,2333283345.1
+",
+CN,fundamental,伊利股份2021年的总资产周转率是？（总资产按期初期末平均值计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.2725,easy,operational efficiency,营业收入 / 平均总资产,"year,营业收入,资产合计
+2020,96523963249.92,71154264385.29
+2021,110143986386.03,101962339842.65
+",
+CN,fundamental,2018年招商公路的总资产周转率是？（总资产按期初期末平均值计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0906,easy,operational efficiency,营业收入 / 平均总资产,"year,营业收入,资产合计
+2017,5340664303.94,65170485622.88
+2018,6759340168.24,84084253695.73
+",
+CN,fundamental,洛阳钼业的总资产周转率在2022年是多少？（总资产按期初期末平均值计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.1439,easy,operational efficiency,营业收入 / 平均总资产,"year,营业收入,资产合计
+2021,173862586154.82,137449772623.15
+2022,172990857221.36,165019219538.77
+",
+CN,fundamental,对于总资产周转率，紫光股份在2020年的值是？（总资产按期初期末平均值计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0647,easy,operational efficiency,营业收入 / 平均总资产,"year,营业收入,资产合计
+2019,54099057664.94,54702264299.36
+2020,60083923906.8,58166971409.45
+",
+CN,fundamental,计算2021年度万华化学的总资产周转率。（总资产按期初期末平均值计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.8982,easy,operational efficiency,营业收入 / 平均总资产,"year,营业收入,资产合计
+2020,73432968475.63,133752669388.47
+2021,145537817628.55,190309582268.84
+",
+CN,fundamental,中金黄金2021年的固定资产周转率是？（固定资产用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.5953,easy,operational efficiency,营业收入 / 平均固定资产合计,"year,营业收入,固定资产合计
+2020,47995317805.91,15743254136.7
+2021,56102498949.46,15465310072.24
+",
+CN,fundamental,2024年爱尔眼科的固定资产周转率是？（固定资产用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,4.6237,easy,operational efficiency,营业收入 / 平均固定资产合计,"year,营业收入,固定资产合计
+2023,20367156738.96,3864318150.3
+2024,20982894148.5,5211960189.84
+",
+CN,fundamental,润泽科技的固定资产周转率在2023年是多少？（固定资产用期初期末平均值）按中国会计准则���写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.5639,easy,operational efficiency,营业收入 / 平均固定资产合计,"year,营业收入,固定资产合计
+2022,2714740688.79,6057040292.82
+2023,4350788339.36,9373317892.17
+",
+CN,fundamental,对于固定资产周转率，中航成飞在2025年的值是？（固定资产用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,6.6701,easy,operational efficiency,营业收入 / 平均固定资产合计,"year,营业收入,固定资产合计
+2024,65054925106.17,11495255106.7
+2025,75358958001.86,11100922090.79
+",
+CN,fundamental,计算2017年度潞安环能的固定资产周转率。（固定资产用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.2105,easy,operational efficiency,营业收入 / 平均固定资产合计,"year,营业收入,固定资产合计
+2016,14229368334.73,18464763222.5
+2017,23543556034.52,20435305077.72
+",
+CN,fundamental,中信特钢2024年的营运资本周转率是？（净营运资本用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,31.4406,easy,operational efficiency,营业收入 / 平均净营运资本；净营运资本 = 流动资产合计 - 流动负债合计,"year,营业收入,流动资产合计,流动负债合计
+2023,114018799187.96,51249043949.3,49540242832.09
+2024,109202941453.9,47360800131.37,42122978909.2
+",
+CN,fundamental,2023年沪电股份的营运资本周转率是？（净营运资本用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.1282,easy,operational efficiency,营业收入 / 平均净营运资本；净营运资本 = 流动资产合计 - 流动负债合计,"year,营业收入,流动资产合计,流动负债合计
+2022,8336030158.0,6726033566.0,3829395011.0
+2023,8938309250.0,7840865449.0,5022774290.0
+",
+CN,fundamental,拓普集团的营运资本周转率在2024年是多少？（净营运资本用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,6.7235,easy,operational efficiency,营业收入 / 平均净营运资本；净营运资本 = 流动资产合计 - 流动负债合计,"year,营业收入,流动资产合计,流动负债合计
+2023,19700560430.0,13491861408.62,11223875501.05
+2024,26600328450.94,18683213806.32,13038533723.87
+",
+CN,fundamental,对于营运资本周转率，北方华创在2021年的值是？（净营运资本用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.367,easy,operational efficiency,营业收入 / 平均净营运资本；净营运资本 = 流动资产合计 - 流动负债合计,"year,营业收入,流动资产合计,流动负债合计
+2020,6056043031.2,11013993332.25,7900372959.79
+2021,9683478119.38,22322571364.93,11268226934.51
+",
+CN,fundamental,计算2018年度宇通客车的营运资本周转率。（净营运资本用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.3466,easy,operational efficiency,营业收入 / 平均净营运资本；净营运资本 = 流动资产合计 - 流动负债合计,"year,营业收入,流动资产合计,流动负债合计
+2017,33221948766.65,27431243975.38,18652062045.65
+2018,31745844573.3,27967906694.79,17775284216.02
+",
+CN,fundamental,宝丰能源2020年的流动比率是？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.8631,easy,solvency,流动资产合计 / 流动负债合计,"year,流动资产合计,流动负债合计
+2020,4863794855.69,5635097517.45
+",
+CN,fundamental,2024年海南机场的流动比率是？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.962,easy,solvency,流动资产合计 / 流动负债合计,"year,流动资产合计,流动负债合计
+2024,21000669820.77,10703637617.93
+",
+CN,fundamental,中芯国际的流动比率在2024年是多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.7269,easy,solvency,流动资产合计 / 流动负债合计,"year,流动资产合计,流动负债合计
+2024,106278648000.0,61544471000.0
+",
+CN,fundamental,对于流动比率，格力电器在2020年的值是？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.348,easy,solvency,流动资产合计 / 流动负债合计,"year,流动资产合计,流动负债合计
+2020,213632987164.66,158478718130.74
+",
+CN,fundamental,计算2019年度鹏鼎控股的流动比率。按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.8485,easy,solvency,流动资产合计 / 流动负债合计,"year,流动资产合计,流动负债合计
+2019,16423817019.51,8884985098.4
+",
+CN,fundamental,中国海油2019年的速动比率是？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.243,easy,solvency,(流动资产合计 - 存货) / 流动负债合计,"year,流动资产合计,流动负债合计,存货
+2019,205932729100.0,88994558600.0,6313659500.0
+",
+CN,fundamental,2017年万科A的速动比率是？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.495,easy,solvency,(流动资产合计 - 存货) / 流动负债合计,"year,流动资产合计,流动负债合计,存货
+2017,1017552832148.3,847355429875.81,598087657618.33
+",
+CN,fundamental,小商品城的速动比率在2021年是多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.5012,easy,solvency,(流动资产合计 - 存货) / 流动负债合计,"year,流动资产合计,流动负债合计,存货
+2021,8899237780.17,15105912872.48,1327402567.99
+",
+CN,fundamental,对于速动比率，卫星化学在2017年的值是？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.5203,easy,solvency,(流动资产合计 - 存货) / 流动负债合计,"year,流动资产合计,流动负债合计,存货
+2017,5214596665.44,2928917779.24,761853125.14
+",
+CN,fundamental,计算2017年度紫金矿业的速动比率。按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.6107,easy,solvency,(流动资产合计 - 存货) / 流动负债合计,"year,流动资产合计,流动负债合计,存货
+2017,28675010591.0,28793593015.0,11089834955.0
+",
+CN,fundamental,招商公路2024年的资产负债率是？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,44.2218,easy,solvency,负债合计 / 资产合计 * 100%,"year,负债合计,资产合计
+2024,70387643088.43,159169493582.77
+",
+CN,fundamental,2025年中国通号的资产负债率是？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,55.6541,easy,solvency,负债合计 / 资产合计 * 100%,"year,负债合计,资产合计
+2025,65850838896.19,118321690651.9
+",
+CN,fundamental,贵州茅台的资产负债率在2017年是多少？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,28.6683,easy,solvency,负债合计 / 资产合计 * 100%,"year,负债合计,资产合计
+2017,38590489400.0,134610116875.08
+",
+CN,fundamental,对于资产负债率，华润三九在2024年的值是？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,36.9883,easy,solvency,负债合计 / 资产合计 * 100%,"year,负债合计,资产合计
+2024,14825658953.1,40081972320.77
+",
+CN,fundamental,计算2019年度华域汽车的资产负债率。（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,57.8074,easy,solvency,负债合计 / 资产合计 * 100%,"year,负债合计,资产合计
+2019,80425897714.82,139127432129.36
+",
+CN,fundamental,领益智造2022年的产权比率是？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0972,easy,solvency,负债合计 / 股东权益合计,"year,负债合计,股东权益合计
+2022,18935089680.03,17256920161.92
+",
+CN,fundamental,2024年南山铝业的产权比率是？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过��。,0.2497,easy,solvency,负债合计 / 股东权益合计,"year,负债合计,股东权益合计
+2024,14039640187.82,56224321931.44
+",
+CN,fundamental,四川路桥的产权比率在2020年是多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.49,easy,solvency,负债合计 / 股东权益合计,"year,负债合计,股东权益合计
+2020,90747288819.15,26001839095.99
+",
+CN,fundamental,对于产权比率，国投资本在2023年的值是？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.7632,easy,solvency,负债合计 / 股东权益合计,"year,负债合计,股东权益合计
+2023,221305474823.82,58808551826.04
+",
+CN,fundamental,计算2018年度宝钢股份的产权比率。按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.7716,easy,solvency,负债合计 / 股东权益合计,"year,负债合计,股东权益合计
+2018,146273891507.45,189576167578.07
+",
+CN,fundamental,恒生电子2023年的净债务权益比是？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-0.3507,easy,solvency,净债务权益比 = 净债务 / 股东权益合计；净债务 = 有息负债（短期借款 + 一年内到期非流动负债 + 长期借款 + 应付债券 + 租赁负债 + 应付利息 + 应付短期债券 + 交易性金融负债 + 卖出回购金融资产款）- 现金类资产（货币资金 + 交易性金融资产）,"year,短期借款,一年内到期的非流动负债,长期借款,应付债券,租赁负债,应付利息,应付短期债券,交易性金融负债,卖出回购金融资产款,货币资金,交易性金融资产,股东权益合计
+2023,305775473.61,16751703.9,137855003.59,0.0,27316200.4,0.0,0.0,10000000.0,0.0,2421998664.08,1177334633.25,8844722112.75
+",
+CN,fundamental,2018年海螺水泥的净债务权益比是？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-0.2351,easy,solvency,净债务权益比 = 净债务 / 股东权益合计；净债务 = 有息负债（短期借款 + 一年内到期非流动负债 + 长期借款 + 应付债券 + 租赁负债 + 应付利息 + 应付短期债券 + 交易性金融负债 + 卖出回购金融资产款）- 现金类资产（货币资金 + 交易性金融资产）,"year,短期借款,一年内到期的非流动负债,长期借款,应付债券,租赁负债,应付利息,应付短期债券,交易性金融负债,卖出回购金融资产款,货币资金,交易性金融资产,股东权益合计
+2018,1376933268.0,2751237021.0,2606582305.0,3498750180.0,0.0,44660322.0,0.0,0.0,0.0,37619107062.0,25140194.0,116417873327.0
+",
+CN,fundamental,东方财富的净债务权益比在2022年是多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-0.8683,easy,solvency,净债务权益比 = 净债务 / 股东权益合计；净债务 = 有息负债（短期借款 + 一年内到期非流动负债 + 长期借款 + 应付债券 + 租赁负债 + 应付利息 + 应付短期债券 + 交易性金融负债 + 卖出回购金融资产款）- 现金类资产（货币资金 + 交易性金融资产）,"year,短期借款,一年内到期的非流动负债,长期借款,应付债券,租赁负债,应付利息,应付短期债券,交易性金融负债,卖出回购金融资产款,货币资金,交易性金融资产,股东权益合计
+2022,1317132739.24,3847406646.82,1802166.67,12525775761.61,78591470.96,0.0,10345130755.91,4914252647.01,37961757153.05,64230876969.67,63345654090.03,65164663223.24
+",
+CN,fundamental,对于净债务权益比，华润三九在2021年的值是？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-0.2565,easy,solvency,净债务权益比 = 净债务 / 股东权益合计；净债务 = 有息负债（短期借款 + 一年内到期非流动负债 + 长期借款 + 应付债券 + 租赁负债 + 应付利息 + 应付短期债券 + 交易性金融负债 + 卖出回购金融资产款）- 现金类资产（货币资金 + 交易性金融资产）,"year,短期借款,一年内到期的非流动负债,长期借款,应付债券,租赁负债,应付利息,应付短期债券,交易性金融负债,卖出回购金融资产款,货币资金,交易性金融资产,股东权益合计
+2021,90035887.5,51414683.25,7966237.4,0.0,88707684.6,272295.36,0.0,0.0,0.0,3065208163.13,1218780611.19,15774466640.45
+",
+CN,fundamental,计算2018年度华电国际的净债务权益比。按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位��数。注意列出原始数据和关键计算过程。,1.6321,easy,solvency,净债务权益比 = 净债务 / 股东权益合计；净债务 = 有息负债（短期借款 + 一年内到期非流动负债 + 长期借款 + 应付债券 + 租赁负债 + 应付利息 + 应付短期债券 + 交易性金融负债 + 卖出回购金融资产款）- 现金类资产（货币资金 + 交易性金融资产）,"year,短期借款,一年内到期的非流动负债,长期借款,应付债券,租赁负债,应付利息,应付短期债券,交易性金融负债,卖出回购金融资产款,货币资金,交易性金融资产,股东权益合计
+2018,27036947000.0,14303043000.0,66755274000.0,7477547000.0,0.0,525952000.0,0.0,64496000.0,0.0,6741217000.0,0.0,67041851000.0
+",
+CN,fundamental,思源电气2024年的利息保障倍数是？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,312.2275,easy,solvency,利息保障倍数 = EBIT / 利息支出 = (利润总额 + 利息支出) / 利息支出,"year,利润总额,财务费用——利息费用
+2024,2430534096.78,7809509.99
+",
+CN,fundamental,2022年圣邦股份的利息保障倍数是？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,372.8848,easy,solvency,利息保障倍数 = EBIT / 利息支出 = (利润总额 + 利息支出) / 利息支出,"year,利润总额,财务费用——利息费用
+2022,921007698.09,2476594.11
+",
+CN,fundamental,华勤技术的利息保障倍数在2019年是多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,4.7287,easy,solvency,利息保障倍数 = EBIT / 利息支出 = (利润总额 + 利息支出) / 利息支出,"year,利润总额,财务费用——利息费用
+2019,542216755.55,145417705.78
+",
+CN,fundamental,对于利息保障倍数，浪潮信息在2017年的值是？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.8812,easy,solvency,利息保障倍数 = EBIT / 利息支出 = (利润总额 + 利息支出) / 利息支出,"year,利润总额,财务费用——利息费用
+2017,505963441.71,175605995.99
+",
+CN,fundamental,计算2022年度深南电路的利息保障倍数。按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,19.6984,easy,solvency,利息保障倍数 = EBIT / 利息支出 = (利润总额 + 利息支出) / 利息支出,"year,利润总额,财务费用——利息费用
+2022,1720463891.82,92011499.06
+",
+CN,fundamental,传音控股2022年的净债务/EBITDA是？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-4.548,easy,solvency,净债务 / EBITDA；净债务 = 有息负债（短期借款 + 一年内到期非流动负债 + 长期借款 + 应付债券 + 租赁负债 + 应付利息 + 应付短期债券 + 交易性金融负债 + 卖出回购金融资产款）- 现金类资产（货币资金 + 交易性金融资产）；EBITDA = 利润总额 + 利息支出 + 折旧与摊销,"year,短期借款,一年内到期的非流动负债,长期借款,应付债券,租赁负债,应付利息,应付短期债券,交易性金融负债,卖出回购金融资产款,货币资金,交易性金融资产,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+2022,1234715636.6,69546631.02,250161006.48,0.0,150194951.74,0.0,0.0,1553063.33,0.0,9214926680.63,7622244780.85,2993491372.47,66852998.92,224341050.89,23631454.99,18652737.87
+",
+CN,fundamental,2025年中金公司的净债务/EBITDA是？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-11.3155,easy,solvency,净债务 / EBITDA；净债务 = 有息负债（短期借款 + 一年内到期非流动负债 + 长期借款 + 应付债券 + 租赁负债 + 应付利息 + 应付短期债券 + 交易性金融负债 + 卖出回购金融资产款）- 现金类资产（货币资金 + 交易性金融资产）；EBITDA = 利润总额 + 利息支出 + 折旧与摊销,"year,短期借款,一年内到期的非流动负债,长期借款,应付债券,租赁负债,应付利息,应付短期债券,交易性金融负债,卖出回购金融资产款,货币资金,交易性金融资产,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+2025,0.0,0.0,0.0,136950119652.0,3724406538.0,0.0,0.0,38945097041.0,112569758795.0,149701877194.0,295356608130.0,11712746737.0,0.0,1214023301.0,413342451.0,169630697.0
+",
+CN,fundamental,紫光国微的净债务/EBITDA在2024年是多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-0.9063,easy,solvency,净债务 / EBITDA；净债务 = 有息负债（短期借款 + 一年内到期非流动负债 + 长期借款 + 应付债券 + 租赁负债 + 应付利息 + 应付短期债券 + 交易性金融负债 + 卖出回购金融资产款）- 现金类资产（货币资金 + 交易性金融资产）；EBITDA = 利润总额 + 利息支出 + 折旧与摊销,"year,短期借款,一年内到期的非流动负债,长期借款,应付债券,租赁负债,应付利息,应付短期债券,交易性金融负债,卖出回购金融资产款,货币资金,交易性金融资产,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+2024,0.0,169288585.04,199500000.0,1407230376.52,14405483.37,0.0,0.0,0.0,0.0,2461114778.52,785209035.61,1281735688.84,64600664.21,156901725.1,78024842.54,25200196.55
+",
+CN,fundamental,对于净债务/EBITDA，科伦药业在2019年的值是？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.8505,easy,solvency,净债务 / EBITDA；净债务 = 有息负债（短期借款 + 一年内到期非流动负债 + 长期借款 + 应付债券 + 租赁负债 + 应付利息 + 应付短期债券 + 交易性金融负债 + 卖出回购金融资产款）- 现金类资产（货币资金 + 交易性金融资产）；EBITDA = 利润总额 + 利息支出 + 折旧与摊销,"year,短期借款,一年内到期的非流动负债,长期借款,应付债券,租赁负债,应付利息,应付短期债券,交易性金融负债,卖出回购金融资产款,货币资金,交易性金融资产,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+2019,3175114271.0,5244344993.0,801741735.0,1344814915.0,0.0,0.0,0.0,0.0,0.0,2253425441.0,0.0,1256293926.0,584825823.0,973143293.0,97260418.0,4669925.0
+",
+CN,fundamental,计算2023年度紫光股份的净债务/EBITDA。按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-0.3356,easy,solvency,净债务 / EBITDA；净债务 = 有息负债（短期借款 + 一年内到期非流动负债 + 长期借款 + 应付债券 + 租赁负债 + 应付利息 + 应付短期债券 + 交易性金融负债 + 卖出回购金融资产款）- 现金类资产（货币资金 + 交易性金融资产）；EBITDA = 利润总额 + 利息支出 + 折旧与摊销,"year,短期借款,一年内到期的非流动负债,长期借款,应付债券,租赁负债,应付利息,应付短期债券,交易性金融负债,卖出回购金融资产款,货币资金,交易性金融资产,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+2023,6282709107.4,868627780.7,5086117495.61,0.0,1068804399.81,0.0,0.0,0.0,0.0,14710814862.2,314222422.37,3760213537.13,317701729.59,822229005.28,130109660.87,91445394.88
+",
+CN,fundamental,恒瑞医药2018年的营业收入增长率是？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,25.8916,easy,growth,(本期营业收入 - 上期营业收入) / 上期营业收入 * 100%,"year,营业收入
+2017,13835629369.98
+2018,17417901050.02
+",
+CN,fundamental,2021年顺丰控股的营业收入增长率是？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,34.5483,easy,growth,(本期营业收入 - 上期营业收入) / 上期营业收入 * 100%,"year,营业收入
+2020,153986870000.0
+2021,207186647000.0
+",
+CN,fundamental,中国广核的营业收入增长率在2017年是多少？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,38.171,easy,growth,(本期营业收入 - 上期营业收入) / 上期营业收入 * 100%,"year,营业收入
+2016,33026794633.05
+2017,45633453920.64
+",
+CN,fundamental,对于营业收入增长率，盐湖股份在2024年的值是？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-29.8648,easy,growth,(本期营业收入 - 上期营业收入) / 上期营业收入 * 100%,"year,营业收入
+2023,21578504361.18
+2024,15134119500.89
+",
+CN,fundamental,计算2018年度中国人保的营业收入增长率。（单位：%）按中国会计准则，写出指标公式��搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.2077,easy,growth,(本期营业收入 - 上期营业收入) / 上期营业收入 * 100%,"year,营业收入
+2017,488141000000.0
+2018,503799000000.0
+",
+CN,fundamental,铜陵有色2023年的EBITDA增长率是？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-9.5907,easy,growth,EBITDA增长率 = (本期EBITDA - 上期EBITDA) / 上期EBITDA * 100%；EBITDA = 利润总额 + 利息支出 + 折旧与摊销,"year,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+2022,7339976452.81,896149431.69,2254383699.22,159129388.0,0.0
+2023,5391665154.49,1028320327.39,2956828351.95,251454425.86,0.0
+",
+CN,fundamental,2019年龙源电力的EBITDA增长率是？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,4.1168,easy,growth,EBITDA增长率 = (本期EBITDA - 上期EBITDA) / 上期EBITDA * 100%；EBITDA = 利润总额 + 利息支出 + 折旧与摊销,"year,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+2018,5833972058.53,3564271989.93,7243016550.68,103089980.19,9529405.99
+2019,6430368620.38,3384520738.08,7046041212.9,572036615.11,10642851.66
+",
+CN,fundamental,新和成的EBITDA增长率在2019年是多少？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-20.6227,easy,growth,EBITDA增长率 = (本期EBITDA - 上期EBITDA) / 上期EBITDA * 100%；EBITDA = 利润总额 + 利息支出 + 折旧与摊销,"year,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+2018,3639700078.3,86313025.06,433561544.29,24041742.9,203636.4
+2019,2565343560.67,192610308.63,532632605.17,29228263.27,1189468.66
+",
+CN,fundamental,对于EBITDA增长率，传音控股在2020年的值是？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,45.8785,easy,growth,EBITDA增长率 = (本期EBITDA - 上期EBITDA) / 上期EBITDA * 100%；EBITDA = 利润总额 + 利息支出 + 折旧与摊销,"year,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+2019,2182106072.79,1049036.64,78382817.93,22029031.93,18520373.29
+2020,3201039225.51,8366055.77,99894730.62,26380640.29,22569761.7
+",
+CN,fundamental,计算2021年度中国联通的EBITDA增长率。（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,4.1906,easy,growth,EBITDA增长率 = (本期EBITDA - 上期EBITDA) / 上期EBITDA * 100%；EBITDA = 利润总额 + 利息支出 + 折旧与摊销,"year,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+2020,15959508916.0,1455970442.0,74509675347.0,5326560929.0,1437427468.0
+2021,17807323798.0,1229336920.0,77902355605.0,4433659453.0,1452101458.0
+",
+CN,fundamental,新希望2021年的净利润增长率是？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-262.5049,easy,growth,(本期净利润 - 上期净利润) / |上期净利润| * 100%,"year,净利润
+2020,5847677507.73
+2021,-9502760085.95
+",
+CN,fundamental,2017年公牛集团的净利润增长率是？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-8.6697,easy,growth,(本期净利润 - 上期净利润) / |上期净利润| * 100%,"year,净利润
+2016,1407450173.96
+2017,1285428479.45
+",
+CN,fundamental,云南白药的净利润增长率在2023年是多少？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,45.1397,easy,growth,(本期净利润 - 上期净利润) / |上期净利润| * 100%,"year,净利润
+2022,2840409694.19
+2023,4122561096.49
+",
+CN,fundamental,对于净利润增长率，紫光股份在2021年的值是？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,23.754,easy,growth,(本期净利润 - 上期净利润) / |上期净利润| * 100%,"year,净利润
+2020,3064460359.72
+2021,3792391852.96
+",
+CN,fundamental,计算2022年度国电南瑞的净利润增长率。（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,14.2638,easy,growth,(本期净利润 - 上期净利润) / |上期净利润| * 100%,"year,净利润
+2021,6042805375.13
+2022,6904736373.07
+",
+CN,fundamental,石头科技2018年的每股收益增长率是？（单位：%；净利润用归母净利润）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-88.9813,easy,growth,(本期每股收益 - 上期每股收益) / |上期每股收益| * 100%,"year,归属于母公司所有者的净利润,股本
+2017,66996182.0,1200000.0
+2018,307587781.0,50000000.0
+",
+CN,fundamental,2022年格力电器的每股收益增长率是？（单位：%；净利润用归母净利润）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,11.5971,easy,growth,(本期每股收益 - 上期每股收益) / |上期每股收益| * 100%,"year,归属于母公司所有者的净利润,股本
+2021,23063732372.62,5914469040.0
+2022,24506623782.46,5631405741.0
+",
+CN,fundamental,豪威集团的每股收益增长率在2020年是多少？（单位：%；净利润用归母净利润）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,478.5314,easy,growth,(本期每股收益 - 上期每股收益) / |上期每股收益| * 100%,"year,归属于母公司所有者的净利润,股本
+2019,465632238.67,863662098.0
+2020,2706109337.61,867599383.0
+",
+CN,fundamental,对于每股收益增长率，国轩高科在2025年的值是？（单位：%；净利润用归母净利润）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,96.1694,easy,growth,(本期每股收益 - 上期每股收益) / |上期每股收益| * 100%,"year,归属于母公司所有者的净利润,股本
+2024,1206790129.59,1801996317.0
+2025,2383271938.21,1814113804.0
+",
+CN,fundamental,计算2021年度洛阳钼业的每股收益增长率。（单位：%；净利润用归母净利润）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,119.2565,easy,growth,(本期每股收益 - 上期每股收益) / |上期每股收益| * 100%,"year,归属于母公司所有者的净利润,股本
+2020,2328787511.92,4319848116.6
+2021,5106017249.81,4319848116.6
+",
+CN,fundamental,云铝股份2023年的公司自由现金流是？（单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,5269200911.3725,easy,cash flow,经营活动现金流净额 - 资本支出 + 利息支出 * (1 - 所得税费用 / 利润总额),"year,经营活动产生的现金流量净额,购建固定资产、无形资产和其他长期资产支付的现金,财务费用——利息费用,所得税费用,利润总额
+2023,5870990366.26,733022450.94,154179149.45,825031590.19,5543529089.23
+",
+CN,fundamental,2018年浙能电力的公司自由现金流是？（单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,5891699006.7012,easy,cash flow,经营活动现金流净额 - 资本支出 + 利息支出 * (1 - 所得税费用 / 利润总额),"year,经营活动产生的现金流量净额,购建固定资产、无形资产和其他长期资产支付的现金,财务费用——利息费用,所得税费用,利润总额
+2018,6774212687.19,2091207205.08,1400049430.21,684180874.22,5005787723.22
+",
+CN,fundamental,信达证券的公司自由现金流在2024年是多少？（单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,10198228645.48,easy,cash flow,经营活动现金流净额 - 资本支出 + 利息支出 * (1 - 所得税费用 / 利润总额),"year,经营活动产生的现金流量净额,购建固定资产、无形资产和其他长期资产支付的现金,财务费用——利息费用,所得税费用,利润总额
+2024,10285064057.63,86835412.15,0.0,121482648.22,1536167746.44
+",
+CN,fundamental,对于公司自由现金流，深南电路在2024年的值是？（单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,530037226.8167,easy,cash flow,经营活动现金流��额 - 资本支出 + 利息支出 * (1 - 所得税费用 / 利润总额),"year,经营活动产生的现金流量净额,购建固定资产、无形资产和其他长期资产支付的现金,财务费用——利息费用,所得税费用,利润总额
+2024,2982221520.41,2526460850.35,79994828.67,144635732.74,2023357901.76
+",
+CN,fundamental,计算2018年度中国国航的公司自由现金流。（单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,21511029061.1373,easy,cash flow,经营活动现金流净额 - 资本支出 + 利息支出 * (1 - 所得税费用 / 利润总额),"year,经营活动产生的现金流量净额,购建固定资产、无形资产和其他长期资产支付的现金,财务费用——利息费用,所得税费用,利润总额
+2018,31418890000.0,12307679000.0,2914097000.0,1757368000.0,9957905000.0
+",
+CN,fundamental,润泽科技2018年的股权自由现金流是？（单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-19601877.86,easy,cash flow,经营活动现金流净额 - 资本支出 + 净借款（取得借款收到的现金 + 发行债券收到的现金 - 偿还债务支付的现金）,"year,经营活动产生的现金流量净额,购建固定资产、无形资产和其他长期资产支付的现金,取得借款收到的现金,发行债券收到的现金,偿还债务支付的现金
+2018,-55575707.3,23079845.5,238782396.35,0.0,179728721.41
+",
+CN,fundamental,2024年天齐锂业的股权自由现金流是？（单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,4077874164.79,easy,cash flow,经营活动现金流净额 - 资本支出 + 净借款（取得借款收到的现金 + 发行债券收到的现金 - 偿还债务支付的现金）,"year,经营活动产生的现金流量净额,购建固定资产、无形资产和其他长期资产支付的现金,取得借款收到的现金,发行债券收到的现金,偿还债务支付的现金
+2024,5554189376.65,4524444097.87,9680944122.54,0.0,6632815236.53
+",
+CN,fundamental,新希望的股权自由现金流在2020年是多少？（单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-13969234422.09,easy,cash flow,经营活动现金流净额 - 资本支出 + 净借款（取得借款收到的现金 + 发行债券收到的现金 - 偿还债务支付的现金）,"year,经营活动产生的现金流量净额,购建固定资产、无形资产和其他长期资产支付的现金,取得借款收到的现金,发行债券收到的现金,偿还债务支付的现金
+2020,5658169507.13,34250094088.62,50208226294.24,0.0,35585536134.84
+",
+CN,fundamental,对于股权自由现金流，巨化股份在2019年的值是？（单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,56402899.49,easy,cash flow,经营活动现金流净额 - 资本支出 + 净借款（取得借款收到的现金 + 发行债券收到的现金 - 偿还债务支付的现金）,"year,经营活动产生的现金流量净额,购建固定资产、无形资产和其他长期资产支付的现金,取得借款收到的现金,发行债券收到的现金,偿还债务支付的现金
+2019,1882399343.8,1757428333.14,94600000.0,0.0,163168111.17
+",
+CN,fundamental,计算2021年度中科曙光的股权自由现金流。（单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-1473745133.88,easy,cash flow,经营活动现金流净额 - 资本支出 + 净借款（取得借款收到的现金 + 发行债券收到的现金 - 偿还债务支付的现金）,"year,经营活动产生的现金流量净额,购建固定资产、无形资产和其他长期资产支付的现金,取得借款收到的现金,发行债券收到的现金,偿还债务支付的现金
+2021,-522882997.36,1629094517.39,949232380.87,0.0,271000000.0
+",
+CN,fundamental,东鹏饮料2023年的经营现金流利润率是？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,29.1337,easy,cash flow,经营活动现金流净额 / 营业收入 * 100%,"year,经营活动产生的现金流量净额,营业收入
+2023,3281269652.65,11262794083.29
+",
+CN,fundamental,2018年中国动力的经营现金流利润率是？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-3.9708,easy,cash flow,经营活动现金流净额 / 营业收入 * 100%,"year,经营活动产生的现金流量净额,营业收入
+2018,-1177789013.13,29661528137.69
+",
+CN,fundamental,中国铁建的经营现金流利润率在2019年是多少？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,4.8174,easy,cash flow,经营活动现金流净额 / 营业收入 * 100%,"year,经营活动产生的现金流量净额,营业收入
+2019,40005838000.0,830452157000.0
+",
+CN,fundamental,对于经营现金流利润率，南方航空在2020年的值是？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,9.7763,easy,cash flow,经营活动现金流净额 / 营业收入 * 100%,"year,经营活动产生的现金流量净额,营业收入
+2020,9049000000.0,92561000000.0
+",
+CN,fundamental,计算2018年度士兰微的经营现金流利润率。（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,7.9513,easy,cash flow,经营活动现金流净额 / 营业收入 * 100%,"year,经营活动产生的现金流量净额,营业收入
+2018,240596119.24,3025857115.44
+",
+CN,fundamental,招商蛇口2019年的资本支出占收入比是？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,8.3016,easy,cash flow,资本支出 / 营业收入 * 100%,"year,购建固定资产、无形资产和其他长期资产支付的现金,营业收入
+2019,8108375383.34,97672181191.74
+",
+CN,fundamental,2017年中国中免的资本支出占收入比是？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0392,easy,cash flow,资本支出 / 营业收入 * 100%,"year,购建固定资产、无形资产和其他长期资产支付的现金,营业收入
+2017,293907265.52,28282286665.72
+",
+CN,fundamental,国投资本的资本支出占收入比在2024年是多少？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1336.4976,easy,cash flow,资本支出 / 营业收入 * 100%,"year,购建固定资产、无形资产和其他长期资产支付的现金,营业收入
+2024,435026150.59,32549714.45
+",
+CN,fundamental,对于资本支出占收入比，徐工机械在2016年的值是？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.0032,easy,cash flow,资本支出 / 营业收入 * 100%,"year,购建固定资产、无形资产和其他长期资产支付的现金,营业收入
+2016,507270583.28,16891229922.95
+",
+CN,fundamental,计算2016年度今世缘的资本支出占收入比。（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,4.9802,easy,cash flow,资本支出 / 营业收入 * 100%,"year,购建固定资产、无形资产和其他长期资产支付的现金,营业收入
+2016,127213769.33,2554378047.06
+",
+CN,fundamental,三六零2018年的现金流量充裕率是？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,7.2382,easy,cash flow,经营活动现金流净额 / (资本支出 + 偿还债务支付的现金 + 分配股利、利润或偿付利息支付的现金),"year,经营活动产生的现金流量净额,购建固定资产、无形资产和其他长期资产支付的现金,偿还债务支付的现金,分配股利、利润或偿付利息支付的现金
+2018,3747795000.0,499517000.0,0.0,18263000.0
+",
+CN,fundamental,2022年紫光股份的现金流量充裕率是？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.6059,easy,cash flow,经营活动现金流净额 / (资本支出 + 偿还债务支付的现金 + 分配股利、利润或偿付利息支付的现金),"year,经营活动产生的现金流量净额,购建固定资产、无形资产和其他长期资产支付的现金,偿还债务支付的现金,分配股利、利润或偿付利息支付的现金
+2022,4018516037.36,482798694.33,4299937221.02,1849144929.28
+",
+CN,fundamental,金龙鱼的现金流量充裕率在2025年是多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0897,easy,cash flow,经营活动现金流净额 / (资本支出 + 偿还债务支付的现金 + 分配股利、利润或��付利息支付的现金),"year,经营活动产生的现金流量净额,购建固定资产、无形资产和其他长期资产支付的现金,偿还债务支付的现金,分配股利、利润或偿付利息支付的现金
+2025,15444977000.0,4789184000.0,164900403000.0,2546150000.0
+",
+CN,fundamental,对于现金流量充裕率，长江电力在2025年的值是？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.2743,easy,cash flow,经营活动现金流净额 / (资本支出 + 偿还债务支付的现金 + 分配股利、利润或偿付利息支付的现金),"year,经营活动产生的现金流量净额,购建固定资产、无形资产和其他长期资产支付的现金,偿还债务支付的现金,分配股利、利润或偿付利息支付的现金
+2025,60562925570.41,18488466859.29,168073820413.41,34191120693.3
+",
+CN,fundamental,计算2018年度铜陵有色的现金流量充裕率。按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.1903,easy,cash flow,经营活动现金流净额 / (资本支出 + 偿还债务支付的现金 + 分配股利、利润或偿付利息支付的现金),"year,经营活动产生的现金流量净额,购建固定资产、无形资产和其他长期资产支付的现金,偿还债务支付的现金,分配股利、利润或偿付利息支付的现金
+2018,5664843194.84,1877306657.72,26752500029.93,1143639249.75
+",
+CN,fundamental,华大九天2019年的每股净资产是？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.8561,easy,per share,股东权益合计 / 股本,"year,股东权益合计,股本
+2019,491757927.98,172176706.7
+",
+CN,fundamental,2020年浙商银行的每股净资产是？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,6.2317,easy,per share,股东权益合计 / 股本,"year,股东权益合计,股本
+2020,132543000000.0,21269000000.0
+",
+CN,fundamental,中国交建的每股净资产在2016年是多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,11.5586,easy,per share,股东权益合计 / 股本,"year,股东权益合计,股本
+2016,186957316260.0,16174735425.0
+",
+CN,fundamental,对于每股净资产，亿联网络在2017年的值是？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,19.245,easy,per share,股东权益合计 / 股本,"year,股东权益合计,股本
+2017,2874055019.29,149340000.0
+",
+CN,fundamental,计算2022年度白云山的每股净资产。按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,20.6901,easy,per share,股东权益合计 / 股本,"year,股东权益合计,股本
+2022,33637858079.22,1625790949.0
+",
+CN,fundamental,巨化股份2023年的每股资本公积金是？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.7282,easy,per share,资本公积 / 股本,"year,资本公积,股本
+2023,4665635332.56,2699746081.0
+",
+CN,fundamental,2025年中国银行的每股资本公积金是？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.8451,easy,per share,资本公积 / 股本,"year,资本公积,股本
+2025,272304000000.0,322212000000.0
+",
+CN,fundamental,中国中免的每股资本公积金在2017年是多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.9679,easy,per share,资本公积 / 股本,"year,资本公积,股本
+2017,3842200277.86,1952475544.0
+",
+CN,fundamental,对于每股资本公积金，中国银河在2019年的值是？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.4684,easy,per share,资本公积 / 股本,"year,资本公积,股本
+2019,25022895958.83,10137258757.0
+",
+CN,fundamental,计算2024年度兆易创新的每股资本公积金。按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,12.5305,easy,per share,资本公积 / 股本,"year,资本公积,股本
+2024,8321828404.11,664124105.0
+",
+CN,fundamental,华勤技术2022年的每股未分配利润是？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案���保留四位小数。注意列出原始数据和关键计算过程。,9.875,easy,per share,未分配利润 / 股本,"year,未分配利润,股本
+2022,6436792034.63,651827169.0
+",
+CN,fundamental,2023年中信证券的每股未分配利润是？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,6.3054,easy,per share,未分配利润 / 股本,"year,未分配利润,股本
+2023,93449787059.61,14820546829.0
+",
+CN,fundamental,国投电力的每股未分配利润在2018年是多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.7331,easy,per share,未分配利润 / 股本,"year,未分配利润,股本
+2018,18546854666.09,6786023347.0
+",
+CN,fundamental,对于每股未分配利润，兴业证券在2022年的值是？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.3611,easy,per share,未分配利润 / 股本,"year,未分配利润,股本
+2022,11754033907.47,8635987294.0
+",
+CN,fundamental,计算2016年度古井贡酒的每股未分配利润。按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,6.9561,easy,per share,未分配利润 / 股本,"year,未分配利润,股本
+2016,3503069053.49,503600000.0
+",
+CN,fundamental,交通银行2017年的每股经营现金流是？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.1444,easy,per share,经营活动现金流净额 / 股本,"year,经营活动产生的现金流量净额,股本
+2017,10727000000.0,74263000000.0
+",
+CN,fundamental,2016年上海莱士的每股经营现金流是？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.1285,easy,per share,经营活动现金流净额 / 股本,"year,经营活动产生的现金流量净额,股本
+2016,638223427.35,4965755511.0
+",
+CN,fundamental,京沪高铁的每股经营现金流在2019年是多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.4216,easy,per share,经营活动现金流净额 / 股本,"year,经营活动产生的现金流量净额,股本
+2019,18052567210.28,42820854611.0
+",
+CN,fundamental,对于每股经营现金流，渝农商行在2022年的值是？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,6.2429,easy,per share,经营活动现金流净额 / 股本,"year,经营活动产生的现金流量净额,股本
+2022,70901171000.0,11357000000.0
+",
+CN,fundamental,计算2021年度恒生电子的每股经营现金流。按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.6546,easy,per share,经营活动现金流净额 / 股本,"year,经营活动产生的现金流量净额,股本
+2021,956789306.14,1461560480.0
+",
+CN,fundamental,华利集团2025年的权益乘数是？（用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.3415,easy,solvency,平均总资产 / 平均股东权益,"year,资产合计,股东权益合计
+2024,22764623007.78,17443193573.41
+2025,22436514980.12,16250153378.37
+",
+CN,fundamental,2024年顺丰控股的权益乘数是？（用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.1171,easy,solvency,平均总资产 / 平均股东权益,"year,资产合计,股东权益合计
+2023,221490655000.0,103283660000.0
+2024,213824213000.0,102335221000.0
+",
+CN,fundamental,中航沈飞的权益乘数在2020年是多少？（用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.0795,easy,solvency,平均总资产 / 平均股东权益,"year,资产合计,股东权益合计
+2019,29223855417.98,9322568681.88
+2020,32853080760.29,10835360686.84
+",
+CN,fundamental,对于权益乘数，中国太保在2017年的值是？（用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,7.9451,easy,solvency,平均总资产 / 平均股东权益,"year,资产合计,股东权益合计
+2016,1020692000000.0,134763000000.0
+2017,1171224000000.0,141119000000.0
+",
+CN,fundamental,计算2022年度广汽集团的权益乘数。（用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.6011,easy,solvency,平均总资产 / 平均股东权益,"year,资产合计,股东权益合计
+2021,154196563667.0,92594760006.0
+2022,189831614551.0,122277429084.0
+",
+CN,fundamental,长电科技2024年的EBIT是？（单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2091985090.44,easy,valuation,利润总额 + 利息支出,"year,利润总额,财务费用——利息费用
+2024,1648906851.98,443078238.46
+",
+CN,fundamental,2018年新和成的EBIT是？（单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3726013103.36,easy,valuation,利润总额 + 利息支出,"year,利润总额,财务费用——利息费用
+2018,3639700078.3,86313025.06
+",
+CN,fundamental,春秋航空的EBIT在2024年是多少？（单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3188006510.0,easy,valuation,利润总额 + 利息支出,"year,利润总额,财务费用——利息费用
+2024,2653449012.0,534557498.0
+",
+CN,fundamental,对于EBIT，中信特钢在2025年的值是？（单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,8036562318.05,easy,valuation,利润总额 + 利息支出,"year,利润总额,财务费用——利息费用
+2025,7189814589.3,846747728.75
+",
+CN,fundamental,计算2024年度歌尔股份的EBIT。（单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3346031954.21,easy,valuation,利润总额 + 利息支出,"year,利润总额,财务费用——利息费用
+2024,2773837345.1,572194609.11
+",
+CN,fundamental,南方航空2025年的EBITDA是？（单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,41598000000.0,easy,valuation,利润总额 + 利息支出 + 折旧与摊销,"year,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+2025,4811000000.0,5553000000.0,30299000000.0,793000000.0,142000000.0
+",
+CN,fundamental,2020年星宇股份的EBITDA是？（单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1635865931.62,easy,valuation,利润总额 + 利息支出 + 折旧与摊销,"year,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+2020,1364833542.81,14129171.96,169911160.25,22146781.6,64845275.0
+",
+CN,fundamental,中际旭创的EBITDA在2016年是多少？（单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,42135250.06,easy,valuation,利润总额 + 利息支出 + 折旧与摊销,"year,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+2016,10910861.57,0.0,18808306.44,12265049.33,151032.72
+",
+CN,fundamental,对于EBITDA，合盛硅业在2019年的值是？（单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2502773052.99,easy,valuation,利润总额 + 利息支出 + 折旧与摊销,"year,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+2019,1282221502.06,230346568.23,973786609.39,16254460.51,163912.8
+",
+CN,fundamental,计算2019年度软通动力的EBITDA。（单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1155137202.25,easy,valuation,利润总额 + 利息支出 + 折旧与摊销,"year,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+2019,776016357.9,184717224.77,69328386.4,38035166.05,87040067.13
+",
+CN,fundamental,交通银行2022年的NOPAT是？（单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得���答案，保留四位小数。注意列出原始数据和关键计算过程。,91955000000.0,easy,valuation,EBIT × (1 - 实际税率) = (利润总额 + 利息支出) × (1 - 所得税费用 / 利润总额),"year,利润总额,财务费用——利息费用,所得税费用
+2022,98115000000.0,0.0,6160000000.0
+",
+CN,fundamental,2025年沪农商行的NOPAT是？（单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,12649418000.0,easy,valuation,EBIT × (1 - 实际税率) = (利润总额 + 利息支出) × (1 - 所得税费用 / 利润总额),"year,利润总额,财务费用——利息费用,所得税费用
+2025,14973220000.0,0.0,2323802000.0
+",
+CN,fundamental,宁德时代的NOPAT在2018年是多少？（单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3917533387.1792,easy,valuation,EBIT × (1 - 实际税率) = (利润总额 + 利息支出) × (1 - 所得税费用 / 利润总额),"year,利润总额,财务费用——利息费用,所得税费用
+2018,4204813251.93,204435332.83,468916764.21
+",
+CN,fundamental,对于NOPAT，中芯国际在2025年的值是？（单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,9674657282.0688,easy,valuation,EBIT × (1 - 实际税率) = (利润总额 + 利息支出) × (1 - 所得税费用 / 利润总额),"year,利润总额,财务费用——利息费用,所得税费用
+2025,7785646000.0,2663015000.0,576736000.0
+",
+CN,fundamental,计算2018年度中航成飞的NOPAT。（单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,177267339.17,easy,valuation,EBIT × (1 - 实际税率) = (利润总额 + 利息支出) × (1 - 所得税费用 / 利润总额),"year,利润总额,财务费用——利息费用,所得税费用
+2018,197233562.84,0.0,19966223.67
+",
+CN,fundamental,"2020-2024年的毛利率的平均值, 紫光国微与山西焦煤之比是多少？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",1.698,hard,profitability,(营业收入 - 营业成本) / 营业收入 * 100%,"corporate,year,营业收入,营业成本
+紫光国微,2020,3270255229.79,1558907761.74
+紫光国微,2021,5342115108.65,2164686340.0
+紫光国微,2022,7119905165.64,2577367760.76
+紫光国微,2023,7576015885.07,2950908741.61
+紫光国微,2024,5511073894.21,2437394079.21
+山西焦煤,2020,33756582333.29,24898019255.95
+山西焦煤,2021,54170210466.8,35347395195.81
+山西焦煤,2022,65183452996.11,37676919495.79
+山西焦煤,2023,55522870893.68,34613888588.28
+山西焦煤,2024,45290384448.09,31080097738.94
+","corporate,year,毛利率
+山西焦煤,2020,26.242476178057515
+山西焦煤,2021,34.74753948487276
+山西焦煤,2022,42.198644343007615
+山西焦煤,2023,37.658323441953016
+山西焦煤,2024,31.37594631248329
+紫光国微,2020,52.33070044382727
+紫光国微,2021,59.478852552336036
+紫光国微,2022,63.80053243969965
+紫光国微,2023,61.049332704999536
+紫光国微,2024,55.77279263537447
+"
+CN,fundamental,潞安环能与华能水电在2017至2019年毛利率最大值之比是多少？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.7275,hard,profitability,(营业收入 - 营业成本) / 营业收入 * 100%,"corporate,year,营业收入,营业成本
+潞安环能,2017,23543556034.52,13937261855.23
+潞安环能,2018,26682190404.55,16289849349.58
+潞安环能,2019,26791159017.4,16412625401.02
+华能水电,2017,12847346065.58,6740372964.64
+华能水电,2018,15516479019.57,7615809533.75
+华能水电,2019,20800941121.1,9134849012.27
+","corporate,year,毛利率
+华能水电,2017,47.53489996896334
+华能水电,2018,50.917927165405
+华能水电,2019,56.084443684118604
+潞安环能,2017,40.80222276195266
+潞安环能,2018,38.94860540833948
+潞安环能,2019,38.73865109620482
+"
+CN,fundamental,2018到2022年，藏格矿业的毛利率平均值是宝信软件的几倍？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.9953,hard,profitability,(营业收入 - 营业成本) / 营业收入 * 100%,"corporate,year,营业收入,营业成本
+藏格矿业,2018,2680568343.25,848454313.75
+藏格矿业,2019,2018557840.82,843962517.52
+藏格矿业,2020,1903487124.97,1288437603.84
+藏格矿业,2021,3622594323.02,1491573298.97
+藏格矿业,2022,8193913458.11,1475032302.96
+宝信软件,2018,5819459135.18,4326942790.02
+宝信软件,2019,6849043376.68,4791831808.02
+宝信软件,2020,10225041913.62,7264981152.18
+宝信软件,2021,11759361474.51,7935293088.83
+宝信软件,2022,13149886848.21,8805542710.1
+","corporate,year,毛利率
+宝信软件,2018,25.6469941705989
+宝信软件,2019,30.036480359644198
+宝信软件,2020,28.94913083434043
+宝信软件,2021,32.519353996976655
+宝信软件,2022,33.03712182665179
+藏格矿业,2018,68.3479693443925
+藏格矿业,2019,58.18982738799515
+藏格矿业,2020,32.311724784568405
+藏格矿业,2021,58.825825748919634
+藏格矿业,2022,81.99843932327508
+"
+CN,fundamental,在2017-2021年间，毛利率的平均值，洋河股份相对中远海能的比值是多少？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.8342,hard,profitability,(营业收入 - 营业成本) / 营业收入 * 100%,"corporate,year,营业收入,营业成本
+洋河股份,2017,19917942238.16,6681148562.16
+洋河股份,2018,24159801994.68,6353242198.27
+洋河股份,2019,23126476885.07,6626362251.24
+洋河股份,2020,21101051131.79,5851904596.71
+洋河股份,2021,25350178204.45,6255397564.1
+中远海能,2017,9778392035.65,7555915961.86
+中远海能,2018,12286002132.16,10368270583.33
+中远海能,2019,13880075062.56,11247011357.26
+中远海能,2020,16384757725.42,11627998603.99
+中远海能,2021,12698667710.66,11769580474.25
+","corporate,year,毛利率
+中远海能,2017,22.72844109427512
+中远海能,2018,15.609077128597598
+中远海能,2019,18.970097016279137
+中远海能,2020,29.03161097127585
+中远海能,2021,7.316415056912389
+洋河股份,2017,66.45663250614388
+洋河股份,2018,73.7032522051754
+洋河股份,2019,71.34729044907895
+洋河股份,2020,72.26723654589058
+洋河股份,2021,75.32404895283173
+"
+CN,fundamental,分别统计江西铜业和广汽集团在2022-2024年的毛利率的最大值，计算两者之比。（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.5609,hard,profitability,(营业收入 - 营业成本) / 营业收入 * 100%,"corporate,year,营业收入,营业成本
+江西铜业,2022,479938045193.0,465609468267.0
+江西铜业,2023,521892512166.0,507899464795.0
+江西铜业,2024,516608964177.0,498244870652.0
+广汽集团,2022,109600170277.0,102653650355.0
+广汽集团,2023,128757302754.0,120973712653.0
+广汽集团,2024,106797859228.0,100599931912.0
+","corporate,year,毛利率
+广汽集团,2022,6.338055775318219
+广汽集团,2023,6.045163990326128
+广汽集团,2024,5.803419058024566
+江西铜业,2022,2.9855055396239685
+江西铜业,2023,2.681212518824027
+江西铜业,2024,3.5547376833182693
+"
+CN,fundamental,"2020-2022年的EBIT利润率的最大值, 川投能源与山西汾酒之比是多少？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",8.4439,hard,profitability,(利润总额 + 利息支出) / 营业收入 * 100%,"corporate,year,营业收入,利润总额,财务费用——利息费用
+川投能源,2020,1031120302.57,3249950846.02,362740551.17
+川投能源,2021,1263333300.61,3180103980.29,410367978.43
+川投能源,2022,1420414976.88,3614302991.73,528431708.26
+山西汾酒,2020,13989804850.8,4236616296.4,6987929.96
+山西汾酒,2021,19970986258.92,7090520429.87,992415.11
+山西汾酒,2022,26213860718.3,10875909789.59,1040628.58
+","corporate,year,EBIT利润率
+山西汾酒,2020,30.333548406269102
+山西汾酒,2021,35.50907678288843
+山西汾酒,2022,41.49312661364969
+川投能源,2020,350.3656545395918
+川投能源,2021,284.20623100699885
+川投能源,2022,291.6566473475017
+"
+CN,fundamental,山西焦煤与昆仑万维在2018至2020年EBIT利润率最大值之比是多少？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.1033,hard,profitability,(利润总额 + 利息支出) / 营业收入 * 100%,"corporate,year,营业收入,利润总额,财务费用——利息费用
+山西焦煤,2018,32271005488.06,3230101991.44,919990474.27
+山西焦煤,2019,36007526834.78,3635862552.91,831942178.5
+山西焦煤,2020,33756582333.29,3109492366.31,729779998.75
+昆仑万维,2018,3577178500.67,1503901612.43,163729539.48
+昆仑万维,2019,3687883695.82,1483027574.39,150171885.52
+昆仑万维,2020,4629822235.08,5674508406.7,91763844.74
+","corporate,year,EBIT利润率
+山西焦煤,2018,12.860127544663891
+山西焦煤,2019,12.407974454647928
+山西焦煤,2020,11.373403643631878
+昆仑万维,2018,46.6186172034092
+昆仑万维,2019,44.28554679642245
+昆仑万维,2020,124.54629915915902
+"
+CN,fundamental,2021到2023年，中国能建的EBIT利润率最大值是徐工机械的几倍？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.5777,hard,profitability,(利润总额 + 利息支出) / 营业收入 * 100%,"corporate,year,营业收入,利润总额,财务费用——利息费用
+中国能建,2021,322318565000.0,13050383000.0,3362582000.0
+中国能建,2022,366395814000.0,13677064000.0,5618003000.0
+中国能建,2023,406031848000.0,14010567000.0,5899961000.0
+徐工机械,2021,116796193605.64,9229901319.44,1417051278.14
+徐工机械,2022,93817122393.59,5012731082.26,1532506118.96
+徐工机械,2023,92848220501.93,5677633345.29,1653489976.46
+","corporate,year,EBIT利润率
+中国能建,2021,5.092156264719037
+中国能建,2022,5.266181070507535
+中国能建,2023,4.903686274383087
+徐工机械,2021,9.11583868351842
+徐工机械,2022,6.976591302556515
+徐工机械,2023,7.89581456932458
+"
+CN,fundamental,在2020-2022年间，EBIT利润率的平均值，科大讯飞相对中航成飞的比值是多少？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.4653,hard,profitability,(利润总额 + 利息支出) / 营业收入 * 100%,"corporate,year,营业收入,利润总额,财务费用——利息费用
+科大讯飞,2020,13024657865.85,1456636437.62,62416780.1
+科大讯飞,2021,18313605605.92,1496687629.72,65801690.75
+科大讯飞,2022,18820234052.91,247751731.36,65047181.27
+中航成飞,2020,1759918751.88,307530560.5,0.0
+中航成飞,2021,1942801971.79,349784330.36,1289174.33
+中航成飞,2022,1905000855.86,213625605.16,4035120.0
+","corporate,year,EBIT利润率
+中航成飞,2020,17.47413397189423
+中航成飞,2021,18.07047294514214
+中航成飞,2022,11.425754717665914
+科大讯飞,2020,11.662903036423561
+科大讯飞,2021,8.531849784757375
+科大讯飞,2022,1.662035189098165
+"
+CN,fundamental,分别统计顺丰控股和紫光股份在2016-2020年的EBIT利润率的最大值，计算两者之比。（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.2519,hard,profitability,(利润总额 + 利息支出) / 营业收入 * 100%,"corporate,year,营业收入,利润总额,财务费用——利息费用
+顺丰控股,2016,57482698073.15,5190731373.2,0.0
+顺丰控股,2017,71272633122.78,6513445120.47,561346225.08
+顺丰控股,2018,90942694239.83,5867406701.01,644167308.71
+顺丰控股,2019,112193396064.26,7426311085.12,900620301.08
+顺丰控股,2020,153986870000.0,10038657000.0,1016748000.0
+紫光股份,2016,27709709064.34,1151214224.25,0.0
+紫光股份,2017,39072173567.27,2992763456.23,105296644.91
+紫光股份,2018,48338071477.87,3201608218.66,157995611.66
+紫光股份,2019,54099057664.94,3611158964.6,246423622.76
+紫光股份,2020,60083923906.8,3615354497.33,305170255.2
+","corporate,year,EBIT利润率
+紫光股份,2016,4.154551827220421
+紫光股份,2017,7.929070277613592
+紫光股份,2018,6.95022314214187
+紫光股份,2019,7.130591093197515
+紫光股份,2020,6.525081082606015
+顺丰控股,2016,9.03007608758117
+顺丰控股,2017,9.92637852085862
+顺丰控股,2018,7.160084781024817
+顺丰控股,2019,7.421944319637726
+顺丰控股,2020,7.179446533331056
+"
+CN,fundamental,"2020-2022年的EBITDA利润率的最小值, 京东方A与招商轮船之比是多少？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",0.7076,hard,profitability,(利润总额 + 利息支出 + 折旧与摊销) / 营业收入 * 100%,"corporate,year,营业收入,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+京东方A,2020,135552569729.0,6092836662.0,3497697709.0,21680555167.0,758817609.0,123440347.0
+京东方A,2021,221035718012.0,35084376259.0,4866778333.0,33432161074.0,1185263603.0,130732527.0
+京东方A,2022,178413731179.0,51218939.0,3572211438.0,33422031705.0,995315014.0,83058206.0
+招商轮船,2020,21610397166.45,3259401215.34,691823666.9,2204219446.86,7107457.53,363176923.54
+招商轮船,2021,24412230326.4,4342887937.67,586336850.3,2442946142.18,7739421.09,498326456.48
+招商轮船,2022,29708405329.45,5933979401.25,858443699.78,2377422728.2,12296524.35,448305114.18
+","corporate,year,EBITDA利润率
+京东方A,2020,23.720205052756842
+京东方A,2021,33.79513160490405
+京东方A,2022,21.36821815791235
+招商轮船,2020,30.197171573973435
+招商轮船,2021,32.27167981943983
+招商轮船,2022,32.416574908560705
+"
+CN,fundamental,亿纬锂能与华勤技术在2023至2025年EBITDA利润率平均值之比是多少？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.5096,hard,profitability,(利润总额 + 利息支出 + 折旧与摊销) / 营业收入 * 100%,"corporate,year,营业收入,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+亿纬锂能,2023,48783587175.86,4828787308.71,479146473.41,1360975007.27,102689151.98,234652112.46
+亿纬锂能,2024,48614556525.09,4638264644.15,638953665.47,2457823582.01,133905804.31,166032086.45
+亿纬锂能,2025,61469630776.09,4440164576.33,717710192.61,3083783241.38,175505977.32,128455922.49
+华勤技术,2023,85338484213.69,2833641027.59,270331269.18,990413675.88,58978416.17,36874534.11
+华勤技术,2024,109877987191.16,3034346863.51,244091676.2,1109831375.27,85644972.39,47567148.37
+华勤技术,2025,171436926673.4,4448887112.93,308359538.96,1429653584.49,163083509.99,57329647.93
+","corporate,year,EBITDA利润率
+亿纬锂能,2023,14.36190009679518
+亿纬锂能,2024,16.527929815102073
+亿纬锂能,2025,13.90218194291483
+华勤技术,2023,4.91013985254006
+华勤技术,2024,4.115002605457052
+华勤技术,2025,3.7374173222939335
+"
+CN,fundamental,2018到2020年，三环集团的EBITDA利润率平均值是时代电气的几倍？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.2354,hard,profitability,(利润总额 + 利息支出 + 折旧与摊销) / 营业收入 * 100%,"corporate,year,营业收入,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+三环集团,2018,3750072862.64,1553208220.98,4564226.61,219362922.27,9322287.28,2258805.75
+三环集团,2019,2726451719.14,1016583396.65,6684540.08,252389443.75,9744612.45,3965542.81
+三环集团,2020,3993974641.28,1678604413.73,3375011.99,263994846.68,10219662.81,4873510.84
+时代电气,2018,15657900734.0,2967130929.0,7582970.0,319532096.0,99488686.0,2178813.0
+时代电气,2019,16304206791.0,2932612787.0,25539769.0,417640480.0,94660315.0,4891813.0
+时代电气,2020,16033898624.0,2836938297.0,16017904.0,458959412.0,115126380.0,12920622.0
+","corporate,year,EBITDA利润率
+三环集团,2018,47.69817889966991
+三环集团,2019,47.29104596602588
+三环集团,2020,49.100648406258074
+时代电气,2018,21.6881787136766
+时代电气,2019,21.315634722680326
+时代电气,2020,21.454311865555674
+"
+CN,fundamental,在2021-2025年间，EBITDA利润率的最大值，中国太保相对金山办公的比值是多少？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.4345,hard,profitability,(利润总额 + 利息支出 + 折旧与摊销) / 营业收入 * 100%,"corporate,year,营业收入,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+中国太保,2021,440643000000.0,30796000000.0,0.0,3268000000.0,866000000.0,399000000.0
+中国太保,2022,332140000000.0,42483000000.0,0.0,3254000000.0,980000000.0,428000000.0
+中国太保,2023,323945000000.0,32001000000.0,0.0,3185000000.0,1196000000.0,0.0
+中国太保,2024,404089000000.0,55563000000.0,0.0,2975000000.0,1205000000.0,0.0
+中国太保,2025,435156000000.0,66068000000.0,0.0,3046000000.0,1222000000.0,0.0
+金山办公,2021,3280058758.03,1118710945.87,5917385.24,72060744.35,20169463.9,3309754.07
+金山办公,2022,3884959481.38,1198242356.16,10327234.18,97371671.86,25979496.93,6996903.76
+金山办公,2023,4555968287.39,1389839471.97,9274711.42,90887197.32,24971096.3,8662878.21
+金山办公,2024,5120838798.82,1750422726.33,8664291.3,86915398.84,19446866.25,8489518.3
+金山办公,2025,5928744673.06,1952785631.71,2502681.28,86424457.24,20852952.44,20490908.76
+","corporate,year,EBITDA利润率
+中国太保,2021,8.017601550461485
+中国太保,2022,14.194315650027098
+中国太保,2023,11.230918828813532
+中国太保,2024,14.784614280517411
+中国太保,2025,16.163398873047825
+金山办公,2021,37.19958645383632
+金山办公,2022,34.46413455036589
+金山办公,2023,33.44262424822216
+金山办公,2024,36.59437202850075
+金山办公,2025,35.13486827819274
+"
+CN,fundamental,分别统计中海油服和北新建材在2022-2024年的EBITDA利润率的最小值，计算两者之比。（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.2275,hard,profitability,(利润总额 + 利息支出 + 折旧与摊销) / 营业收入 * 100%,"corporate,year,营业收入,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+中海油服,2022,35658895687.0,2981478582.0,763602431.0,4051230672.0,119913736.0,881543645.0
+中海油服,2023,44108616359.0,4242868554.0,969394082.0,4399896161.0,141283723.0,1069464263.0
+中海油服,2024,48301581218.0,4667339590.0,759921233.0,5008774743.0,122438932.0,1203478149.0
+北新建材,2022,20154701058.91,3296545670.38,110278706.84,725616688.61,74994175.11,23698682.84
+北新建材,2023,22425895636.99,3768492086.79,90080097.03,775944924.77,79423007.47,26413528.02
+北新建材,2024,25821124419.48,3950184806.54,92303666.1,890635770.19,159237909.8,29948715.77
+","corporate,year,EBITDA利润率
+中海油服,2022,24.67201772938628
+中海油服,2023,24.53694465251952
+中海油服,2024,24.351071642799155
+北新建材,2022,20.993285444486904
+北新建材,2023,21.137856524495312
+北新建材,2024,19.837675483007324
+"
+CN,fundamental,"2017-2019年的净利率的最小值, 软通动力与中国中免之比是多少？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",-0.0326,hard,profitability,净利润 / 营业收入 * 100%,"corporate,year,营业收入,净利润
+软通动力,2017,7008791219.53,-19101676.74
+软通动力,2018,8139253067.76,293096187.29
+软通动力,2019,10604725119.66,709276469.25
+中国中免,2017,28282286665.72,2934550221.64
+中国中免,2018,47007321221.24,3935160115.59
+中国中免,2019,48612287758.59,5606597995.32
+","corporate,year,净利率
+中国中免,2017,10.375929840202309
+中国中免,2018,8.371377082027639
+中国中免,2019,11.53329385188067
+软通动力,2017,-0.27253881791732026
+软通动力,2018,3.601020693790307
+软通动力,2019,6.688306026292742
+"
+CN,fundamental,福莱特与合盛硅业在2022至2024年净利率平均值之比是多少？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.8461,hard,profitability,净利润 / 营业收入 * 100%,"corporate,year,营业收入,净利润
+福莱特,2022,15460843227.36,2122780428.43
+福莱特,2023,21523708522.42,2763026879.52
+福莱特,2024,18682602478.36,1016129709.03
+合盛硅业,2022,23656904446.79,5141245182.65
+合盛硅业,2023,26583562971.87,2583026749.75
+合盛硅业,2024,26692250312.09,1702078732.0
+","corporate,year,净利率
+合盛硅业,2022,21.7325356080035
+合盛硅业,2023,9.716631109544227
+合盛硅业,2024,6.37667754535128
+福莱特,2022,13.730043033315676
+福莱特,2023,12.83713202416728
+福莱特,2024,5.4389087933920335
+"
+CN,fundamental,2020到2022年，恒立液压的净利率最大值是国泰海通的几倍？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.8112,hard,profitability,净利润 / 营业收入 * 100%,"corporate,year,营业收入,净利润
+恒立液压,2020,7855038369.93,2261248560.35
+恒立液压,2021,9309218098.53,2699058368.28
+恒立液压,2022,8196713892.3,2348854639.27
+国泰海通,2020,35200282406.0,11737069905.0
+国泰海通,2021,42817138705.0,15302541991.0
+国泰海通,2022,35471284791.0,11622803584.0
+","corporate,year,净利率
+国泰海通,2020,33.34368108080684
+国泰海通,2021,35.73929144689212
+国泰海通,2022,32.76679616338287
+恒立液压,2020,28.787237615621613
+恒立液压,2021,28.993394930839607
+恒立液压,2022,28.6560525368162
+"
+CN,fundamental,在2019-2021年间，净利率的平均值，中国铁建相对华大九天的比值是多少？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.1182,hard,profitability,净利润 / 营业收入 * 100%,"corporate,year,营业收入,净利润
+中国铁建,2019,830452157000.0,22623691000.0
+中国铁建,2020,910324763000.0,25708674000.0
+中国铁建,2021,1020010179000.0,29315202000.0
+华大九天,2019,257219984.89,57157732.35
+华大九天,2020,414802193.31,103558656.06
+华大九天,2021,579302046.77,139305915.64
+","corporate,year,净利率
+中国铁建,2019,2.7242618143985387
+中国铁建,2020,2.8241211318119444
+中国铁建,2021,2.8740107308282066
+华大九天,2019,22.221341928172293
+华大九天,2020,24.96579278755309
+华大九天,2021,24.04719893822653
+"
+CN,fundamental,分别统计藏格矿业和圆通速递在2017-2021年的净利率的最大值，计算两者之比。（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,5.4416,hard,profitability,净利润 / 营业收入 * 100%,"corporate,year,营业收入,净利润
+藏格矿业,2017,3173178484.72,1216946130.06
+藏格矿业,2018,2680568343.25,850169479.51
+藏格矿业,2019,2018557840.82,308259358.85
+藏格矿业,2020,1903487124.97,228887517.0
+藏格矿业,2021,3622594323.02,1427339931.06
+圆通速递,2017,19982200966.66,1446853640.28
+圆通速递,2018,27465144549.14,1931688434.19
+圆通速递,2019,31151121008.07,1680785199.36
+圆通速递,2020,34907041590.3,1847701089.26
+圆通速递,2021,45154953607.39,2187496010.7
+","corporate,year,净利率
+圆通速递,2017,7.240712085190482
+圆通速递,2018,7.033236001120868
+圆通速递,2019,5.395584958000633
+圆通速递,2020,5.293204479904825
+圆通速递,2021,4.8444209016793165
+藏格矿业,2017,38.35101416198411
+藏格矿业,2018,31.716015808767985
+藏格矿业,2019,15.271267070790284
+藏格矿业,2020,12.024642247244376
+藏格矿业,2021,39.401042561952906
+"
+CN,fundamental,"2017-2019年的净资产收益率的最小值, 紫光国微与华电国际之比是多少？（指标单位：%；按归属于母公司的计算；所有者权益按期末值计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",7.7756,hard,profitability,净利润 / 所有者权益 * 100%,"corporate,year,归属于母公司所有者的净利润,归属于母公司所有者权益合计
+紫光国微,2017,279887242.88,3494639839.91
+紫光国微,2018,347973762.41,3794380450.3
+紫光国微,2019,405761782.09,4188221621.1
+华电国际,2017,430127000.0,41758901000.0
+华电国际,2018,1725565000.0,52396107000.0
+华电国际,2019,3406920000.0,61510437000.0
+","corporate,year,净资产收益率
+华电国际,2017,1.0300247125756494
+华电国际,2018,3.29330764974581
+华电国际,2019,5.538767347726695
+紫光国微,2017,8.009044013165264
+紫光国微,2018,9.170766267849807
+紫光国微,2019,9.688164065764749
+"
+CN,fundamental,华电国际与中国联通在2021至2025年净资产收益率平均值之比是多少？（指标单位：%；按归属于母公司的计算；所有者权益按期末值计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.6342,hard,profitability,净利润 / 所有者权益 * 100%,"corporate,year,归属于母公司所有者的净利润,归属于母公司所有者权益合计
+华电国际,2021,-4982427000.0,61915663000.0
+华电国际,2022,116280000.0,59492252000.0
+华电国际,2023,4522125000.0,69756242000.0
+华电国际,2024,5987228000.0,70999217000.0
+华电国际,2025,6070315000.0,69162202000.0
+中国联通,2021,6305465753.0,149217148845.0
+中国联通,2022,7299489574.0,154370434728.0
+中国联通,2023,8172679256.0,159240538414.0
+中国联通,2024,9029899018.0,164846809431.0
+中国联通,2025,9126662570.0,168591217309.0
+","corporate,year,净资产收益率
+中国联通,2021,4.225697784609081
+中国联通,2022,4.728554134644803
+中国联通,2023,5.132285621110083
+中国联通,2024,5.4777517679404335
+中国联通,2025,5.413486369976395
+华电国际,2021,-8.047118868774772
+华电国际,2022,0.19545402315582203
+华电国际,2023,6.48275318501246
+华电国际,2024,8.432808491395052
+华电国际,2025,8.776925581403553
+"
+CN,fundamental,2019到2023年，中国国航的净资产收益率最小值是格力电器的几倍？（指标单位：%；按归属于母公司的计算；所有者权益按期末值计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-8.4972,hard,profitability,净利润 / 所有者权益 * 100%,"corporate,year,归属于母公司所有者的净利润,归属于母公司所有者权益合计
+中国国航,2019,6408576000.0,93505857000.0
+中国国航,2020,-14409429000.0,77582421000.0
+中国国航,2021,-16642310000.0,61402519000.0
+中国国航,2022,-38619499000.0,23609134000.0
+中国国航,2023,-1046382000.0,37229962000.0
+格力电器,2019,24696641368.84,110153573282.67
+格力电器,2020,22175108137.32,115190211206.76
+格力电器,2021,23063732372.62,103651654599.87
+格力电器,2022,24506623782.46,96758734892.25
+格力电器,2023,29017387604.18,116793716103.39
+","corporate,year,净资产收益率
+中国国航,2019,6.853662653452821
+中国国航,2020,-18.573059224331242
+中国国航,2021,-27.103627458671525
+中国国航,2022,-163.578634438688
+中国国航,2023,-2.810591104014557
+格力电器,2019,22.420190859777964
+格力电器,2020,19.250861601006115
+格力电器,2021,22.25119556620076
+格力电器,2022,25.32755705182632
+格力电器,2023,24.84499044322964
+"
+CN,fundamental,在2016-2018年间，净资产收益率的最小值，招商公路相对中国能建的比值是多少？（指标单位：%；按归属于母公司的计算；所有者权益按期末值计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.8383,hard,profitability,净利润 / 所有者权益 * 100%,"corporate,year,归属于母公司所有者的净利润,归属于母公司所有者权益合计
+招商公路,2016,2938634981.19,37307952959.72
+招商公路,2017,3368195002.99,43261899382.33
+招商公路,2018,3910056977.32,45462649574.95
+中国能建,2016,4262953592.27,44393292100.0
+中国能建,2017,5200294271.75,48070442000.0
+中国能建,2018,4702510258.06,50632684000.0
+","corporate,year,净资产收益率
+中���能建,2016,9.602697593742997
+中国能建,2017,10.818070430369664
+中国能建,2018,9.287499469828619
+招商公路,2016,7.876698526887107
+招商公路,2017,7.785592059246742
+招商公路,2018,8.600591944985206
+"
+CN,fundamental,分别统计山金国际和晶科能源在2017-2021年的净资产收益率的平均值，计算两者之比。（指标单位：%；按归属于母公司的计算；所有者权益按期末值计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.2229,hard,profitability,净利润 / 所有者权益 * 100%,"corporate,year,归属于母公司所有者的净利润,归属于母公司所有者权益合计
+山金国际,2017,336703028.44,5035434956.48
+山金国际,2018,662572790.77,8340451592.18
+山金国际,2019,864165428.85,9047651591.57
+山金国际,2020,1242446761.34,9890033887.0
+山金国际,2021,1273338698.63,10466435061.23
+晶科能源,2017,254206495.69,6722024641.31
+晶科能源,2018,273690672.11,7245907628.76
+晶科能源,2019,1380813203.39,8802762076.51
+晶科能源,2020,1041561740.41,12508813867.68
+晶科能源,2021,1141409888.21,13551880080.55
+","corporate,year,净资产收益率
+山金国际,2017,6.686672181252261
+山金国际,2018,7.944087720516569
+山金国际,2019,9.551267752785396
+山金国际,2020,12.56261379420691
+山金国际,2021,12.165925562818705
+晶科能源,2017,3.7816953857589515
+晶科能源,2018,3.777175836794886
+晶科能源,2019,15.68613568546483
+晶科能源,2020,8.326622743193617
+晶科能源,2021,8.42252057593234
+"
+CN,fundamental,"2019-2023年的总资产收益率的最小值, 圣邦股份与华勤技术之比是多少？（指标单位：%；总资产按期末值计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",2.3717,hard,profitability,净利润 / 总资产 * 100%,"corporate,year,净利润,资产合计
+圣邦股份,2019,174728483.23,1393471331.54
+圣邦股份,2020,283586476.92,1866795966.79
+圣邦股份,2021,688961437.31,3048988790.76
+圣邦股份,2022,858236417.09,4347929613.02
+圣邦股份,2023,269937466.3,4706853231.69
+华勤技术,2019,502949465.04,20799432295.48
+华勤技术,2020,2190729198.43,32139163015.03
+华勤技术,2021,1875000525.18,45239975341.86
+华勤技术,2022,2492512657.8,43821039774.27
+华勤技术,2023,2655434102.84,51509637668.01
+","corporate,year,总资产收益率
+华勤技术,2019,2.4180922723996545
+华勤技术,2020,6.816385347077947
+华勤技术,2021,4.144565754095549
+华勤技术,2022,5.687935910784815
+华勤技术,2023,5.155217980671516
+圣邦股份,2019,12.539079870189951
+圣邦股份,2020,15.191080437549568
+圣邦股份,2021,22.59639128218203
+圣邦股份,2022,19.738967588619335
+圣邦股份,2023,5.734987963563052
+"
+CN,fundamental,大全能源与同花顺在2022至2024年总资产收益率平均值之比是多少？（指标单位：%；总资产按期末值计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.843,hard,profitability,净利润 / 总资产 * 100%,"corporate,year,净利润,资产合计
+大全能源,2022,19120751300.77,52264886233.69
+大全能源,2023,5762696245.54,50695054524.79
+大全能源,2024,-2718132395.81,44200249316.2
+同花顺,2022,1691066996.78,9027537722.88
+同花顺,2023,1402476723.6,9844860690.35
+同花顺,2024,1823278194.38,10976501567.53
+","corporate,year,总资产收益率
+同花顺,2022,18.732317146612925
+同花顺,2023,14.245775209137465
+同花顺,2024,16.610740527505662
+大全能源,2022,36.58431631377922
+大全能源,2023,11.367373601939866
+大全能源,2024,-6.149586117410807
+"
+CN,fundamental,2022到2024年，石头科技的总资产收益率最大值是国轩高科的几倍？（指标单位：%；总资产按期末值计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,13.3313,hard,profitability,净利润 / 总资产 * 100%,"corporate,year,净利润,资产合计
+石头科技,2022,1183467395.0,10833053890.0
+石头科技,2023,2051204699.0,14376641614.0
+石头科技,2024,1976544102.0,17484730046.0
+国轩高科,2022,365640158.02,72627365266.66
+国轩高科,2023,969098872.91,93592652122.38
+国轩高科,2024,1154134212.39,107839685095.13
+","corporate,year,总资产收益率
+国轩高科,2022,0.5034468160555029
+国轩高科,2023,1.0354433290797491
+国轩高科,2024,1.0702314378717712
+石头科技,2022,10.924596212822864
+石头科技,2023,14.267620728630623
+石头科技,2024,11.304401593847748
+"
+CN,fundamental,在2019-2021年间，总资产收益率的最小值，特变电工相对中信建投的比值是多少？（指标单位：%；总资产按期末值计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原���数据和关键计算过程。,1.208,hard,profitability,净利润 / 总资产 * 100%,"corporate,year,净利润,资产合计
+特变电工,2019,2390350344.93,102224702781.57
+特变电工,2020,3132196625.24,109427779128.76
+特变电工,2021,10097582322.47,135586342111.07
+中信建投,2019,5529648447.75,285669623807.02
+中信建投,2020,9536685333.06,371228143308.73
+中信建投,2021,10235063596.23,452791426255.57
+","corporate,year,总资产收益率
+中信建投,2019,1.9356795357022185
+中信建投,2020,2.568955372849753
+中信建投,2021,2.260436705012387
+特变电工,2019,2.338329464295546
+特变电工,2020,2.862341400125145
+特变电工,2021,7.447344743763522
+"
+CN,fundamental,分别统计招商蛇口和海尔智家在2022-2024年的总资产收益率的最大值，计算两者之比。（指标单位：%；总资产按期末值计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.1525,hard,profitability,净利润 / 总资产 * 100%,"corporate,year,净利润,资产合计
+招商蛇口,2022,9098477245.29,886471376241.7
+招商蛇口,2023,9106230974.83,908508499680.74
+招商蛇口,2024,4188901524.85,860308816014.37
+海尔智家,2022,14733312889.78,236017821177.5
+海尔智家,2023,17088480573.96,261067684897.49
+海尔智家,2024,19565538651.92,290736357978.75
+","corporate,year,总资产收益率
+招商蛇口,2022,1.026370110658741
+招商蛇口,2023,1.0023275487273955
+招商蛇口,2024,0.4869067301037667
+海尔智家,2022,6.242457800972426
+海尔智家,2023,6.545613096722372
+海尔智家,2024,6.729649772028186
+"
+CN,fundamental,"2019-2023年的投入资本回报率的平均值, 中国电建与生益科技之比是多少？（指标单位：%；投入资本用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",0.3684,hard,profitability,ROIC = NOPAT / 平均投入资本 * 100%；NOPAT = (利润总额 + 利息支出) × (1 - 所得税费用 / 利润总额)；投入资本 = 股东权益 + 有息负债（短期借款 + 长期借款 + 应付债券 + 一年内到期非流动负债 + 租赁负债 + 应付利息）- 金融资产（货币资金 + 交易性金融资产 + 其他权益工具投资 + 其他债权投资 + 债权投资 + 衍生金融资产 + 买入返售金融资产）,"corporate,year,利润总额,财务费用——利息费用,所得税费用,股东权益合计,短期借款,长期借款,应付债券,一年内到期的非流动负债,租赁负债,应付利息,货币资金,交易性金融资产,其他权益工具投资,其他债权投资,债权投资,衍生金融资产,买入返售金融资产
+中国电建,2018,12750036084.65,9891738036.34,2826406377.81,142871159083.27,58062787357.82,179416432369.12,14794613854.83,24079363862.89,0.0,721504572.76,89114565240.64,4145437.75,0.0,0.0,0.0,1485919.62,0.0
+中国电建,2019,13686580335.14,10704767426.32,3084877084.13,194641693076.59,14562528354.31,226908916968.21,21212391844.05,25326370045.15,0.0,0.0,70058019254.76,13882228.19,5193870023.55,0.0,0.0,3680744.17,0.0
+中国电建,2020,16206720339.19,10142024232.17,3470905862.93,223909338352.56,15636747292.07,240452137758.33,16252731887.9,25883850542.66,0.0,0.0,82441576557.53,82108177.68,7284826186.78,0.0,0.0,7336427.71,0.0
+中国电建,2021,18566485724.39,12818470577.05,3702400645.05,258357944961.7,9200145533.17,272324287220.33,22560703444.35,33599878423.13,4426377894.85,0.0,76857118971.15,206795146.34,13292841919.23,0.0,0.0,11550305.9,0.0
+中国电建,2022,19247274041.42,13074707705.73,3564211189.1,240350411214.28,23749115685.1,285854591578.33,13399316037.8,22715427849.57,1777748368.31,0.0,100954717358.59,299971782.16,15778407102.63,0.0,0.0,52971870.34,500048999.9
+中国电建,2023,20876005033.15,14662102095.65,3730445510.09,259705032530.69,32669756391.66,315206434347.29,7600000000.0,39058044323.86,3386356445.38,0.0,97651977175.82,577513803.31,11941020331.14,0.0,0.0,11318833.52,1000012998.15
+生益科技,2018,1222614350.01,170962133.52,157652661.52,6841524456.83,823674136.36,539476000.0,1508066126.79,595555108.0,0.0,7759823.14,1125364416.99,90369062.2,0.0,0.0,0.0,0.0,0.0
+生益科技,2019,1805073237.46,147588553.39,241679303.54,9353617058.83,1519481480.54,732332000.0,0.0,414866335.03,0.0,0.0,1061845209.03,119062904.23,0.0,0.0,0.0,0.0,0.0
+生益科技,2020,2082831709.27,121471487.86,282628883.48,10643320545.13,2157170932.62,604975836.0,0.0,724607837.6,0.0,0.0,849915471.55,123335981.8,0.0,0.0,0.0,0.0,0.0
+生益科技,2021,3310073614.91,139310745.7,385473071.37,14866220738.99,1692608619.34,1590327194.46,300000000.0,333784207.46,65882204.49,0.0,2286605004.56,180278694.23,0.0,0.0,0.0,0.0,0.0
+生益科技,2022,1772771571.12,171414524.25,141038149.55,15296164509.03,1557595818.8,1175219575.28,800000000.0,1236073274.61,38724291.62,0.0,3105848398.61,79591235.6,0.0,0.0,0.0,0.0,0.0
+生益科技,2023,1271189623.81,162230363.78,122533553.2,15700192705.33,1464751291.25,805745359.7,500000000.0,1067216190.12,20677950.96,0.0,2774667745.03,62165972.5,0.0,0.0,0.0,0.0,0.0
+","corporate,year,投入资本回报率
+中国电建,2019,5.118794248292325
+中国电建,2020,4.931699752333698
+中国电建,2021,5.332311466294979
+中国电建,2022,5.372833358498899
+中国电建,2023,5.741612884802687
+生益科技,2019,16.963355398615658
+生益科技,2020,15.879100084199749
+生益科技,2021,20.635176397636588
+生益科技,2022,10.747721676559092
+生益科技,2023,7.700625556529453
+"
+CN,fundamental,福莱特与中国交建在2018至2022年投入资本回报率最小值之比是多少？（指标单位：%；投入资本用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.9236,hard,profitability,ROIC = NOPAT / 平均投入资本 * 100%；NOPAT = (利润总额 + 利息支出) × (1 - 所得税费用 / 利润总额)；投入资本 = 股东权益 + 有息负债（短期借款 + 长期借款 + 应付债券 + 一年内到期非流动负债 + 租赁负债 + 应付利息）- 金融资产（货币资金 + 交易性金融资产 + 其他权益工具投资 + 其他债权投资 + 债权投资 + 衍生金融资产 + 买入返售金融资产）,"corporate,year,利润总额,财务费用——利息费用,所得税费用,股东权益合计,短期借款,长期借款,应付债券,一年内到期的非流动负债,租赁负债,应付利息,货币资金,交易性金融资产,其他权益工具投资,其他债权投资,债权投资,衍生金融资产,买入返售金融资产
+福莱特,2017,495854029.94,10718343.36,69327266.91,3250373372.6,379519650.0,687504745.28,0.0,19082931.08,0.0,2871466.17,1084791942.37,0.0,0.0,0.0,0.0,0.0,0.0
+福莱特,2018,466145258.99,25791618.68,58830542.68,3668653664.03,450399136.69,989439412.61,0.0,188738000.0,0.0,1562660.53,683018973.73,0.0,0.0,0.0,0.0,6172390.3,0.0
+福莱特,2019,862670244.12,65388264.94,145426535.45,4512888388.0,1316277482.79,281902410.3,0.0,711977777.21,11016173.42,4831749.01,613000364.84,0.0,0.0,0.0,0.0,1117793.99,0.0
+福莱特,2020,1873908041.69,80273151.69,245124254.06,7234742639.85,617402035.0,1375011882.07,236681991.63,160819952.95,11508090.39,2856171.0,1589967013.69,400000000.0,53970165.0,0.0,0.0,1445666.57,0.0
+福莱特,2021,2380215042.44,90252414.76,260295716.01,11810169072.79,1860696500.0,1967748428.04,0.0,310100070.52,10879703.29,4225184.38,2842677267.48,200000000.0,0.0,0.0,0.0,62739.0,0.0
+福莱特,2022,2152875763.5,338235144.15,30095335.07,14032447213.17,3095354079.23,3889070000.0,3588678749.97,1302218275.31,11926193.55,16887442.02,2932152844.19,2000000.0,0.0,0.0,0.0,0.0,0.0
+中国交建,2017,26553278049.0,10643074361.0,5234497912.0,205941760311.0,61786781012.0,154431751846.0,23366297463.0,25848898194.0,0.0,0.0,134321081923.0,3366157302.0,0.0,0.0,0.0,0.0,0.0
+中国交建,2018,25449042115.0,10678085115.0,5155286974.0,239682177521.0,45358037155.0,193826093607.0,21114374062.0,34364080908.0,0.0,0.0,134368186603.0,404193124.0,21257293942.0,0.0,109102762.0,0.0,0.0
+中国交建,2019,26599551128.0,13954743656.0,5069426887.0,296409681901.0,52179177705.0,229419334781.0,34246760322.0,32243035861.0,1382301444.0,0.0,125537750549.0,1213962977.0,25017792412.0,0.0,110899098.0,0.0,0.0
+中国交建,2020,25449949430.0,15960200189.0,6101332018.0,357803430401.0,45944889123.0,291764436198.0,25986327157.0,47242559943.0,1508837875.0,0.0,128054427022.0,763733439.0,30736242235.0,0.0,123630285.0,0.0,0.0
+中国交建,2021,28747727123.0,18428147036.0,5249748920.0,391395423366.0,34539595537.0,320378742940.0,29734167351.0,53325159660.0,1730919705.0,0.0,104652958608.0,1925288913.0,30094961450.0,0.0,530151392.0,0.0,0.0
+中国交建,2022,31269427699.0,20345250311.0,6259386355.0,427491632393.0,36029244673.0,344551158478.0,26509978952.0,63166970602.0,1585391267.0,0.0,113323163924.0,1306353981.0,24127435400.0,0.0,1629217793.0,0.0,0.0
+","corporate,year,投入资本回报率
+中国交建,2018,8.093547556846774
+中国交建,2019,7.526968011003306
+中国交建,2020,5.700404145157353
+中国交建,2021,5.912100503801631
+中国交建,2022,5.682994817343695
+福莱特,2018,10.93190299823397
+福莱特,2019,14.243716630486652
+福莱特,2020,24.58395392554865
+福莱特,2021,21.450958460581585
+福莱特,2022,13.675097290319652
+"
+CN,fundamental,2020到2022年，卫星化学的投入资本回报率最大值是三峡能源的几倍？（指标单位：%；投入资本用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.7349,hard,profitability,ROIC = NOPAT / 平均投入资本 * 100%；NOPAT = (利润总额 + 利息支出) × (1 - 所得税费用 / 利润总额)；投入资本 = 股东权益 + 有息负债（短期借款 + 长期借款 + 应付债券 + 一年内到期非流动负债 + 租赁负债 + 应付利息）- 金融资产（货币资金 + 交易性金融资产 + 其他权益工具投资 + 其他债权投资 + 债权投资 + ��生金融资产 + 买入返售金融资产）,"corporate,year,利润总额,财务费用——利息费用,所得税费用,股东权益合计,短期借款,长期借款,应付债券,一年内到期的非流动负债,租赁负债,应付利息,货币资金,交易性金融资产,其他权益工具投资,其他债权投资,债权投资,衍生金融资产,买入返售金融资产
+卫星化学,2019,1451708004.12,159639958.53,184439792.83,9257354971.0,5265138979.02,549495138.92,0.0,1000000.0,0.0,0.0,3276122212.52,58419927.33,98000000.0,0.0,0.0,0.0,0.0
+卫星化学,2020,1907217658.6,202175124.3,249591338.36,13641893061.45,2430807740.31,8670806635.15,574642007.8,2001451.39,0.0,0.0,7154471960.35,126809096.93,98000000.0,0.0,0.0,0.0,0.0
+卫星化学,2021,6993200380.24,557069969.96,980410929.99,19381480071.23,1422737776.67,13474183315.58,576315694.6,941732380.62,6088323714.87,0.0,9641378850.02,55363187.5,34541827.06,0.0,0.0,0.0,0.0
+卫星化学,2022,3445015456.73,858364515.84,334418797.84,22193703597.22,1076584613.37,11981505168.73,0.0,1274083214.65,14305949160.67,0.0,5553659232.5,27561732.76,7000000.0,0.0,30000000.0,0.0,0.0
+三峡能源,2019,3347033089.0,1660415642.05,296092849.9,41695528200.56,6579900000.0,29611982476.28,1997604207.72,6100369874.12,0.0,114599863.91,4210653851.81,0.0,283270743.03,0.0,0.0,0.0,0.0
+三峡能源,2020,4285560864.11,2087335348.66,344125821.97,46435468052.0,7820772267.57,49705295524.81,2993129880.97,6376911640.76,0.0,167293296.4,1889847444.24,0.0,318249378.3,0.0,0.0,0.0,0.0
+三峡能源,2021,7511581792.51,2840735660.84,553860609.53,78120301518.01,5524191400.0,78185245510.74,5491709027.71,7015646772.73,4089875082.85,266658753.71,13090734073.8,0.0,375073886.77,0.0,156994860.22,0.0,0.0
+三峡能源,2022,9002150834.03,4074464909.59,658256673.08,88109331638.5,4339734508.83,99456430726.36,6634781410.85,14301065520.9,6457080989.41,0.0,10652586530.0,0.0,472506904.85,0.0,134781810.17,0.0,0.0
+","corporate,year,投入资本回报率
+三峡能源,2020,6.076988970202088
+三峡能源,2021,6.939457184377089
+三峡能源,2022,6.496982511107461
+卫星化学,2020,12.39527949537966
+卫星化学,2021,25.918132094034718
+卫星化学,2022,10.044675995641485
+"
+CN,fundamental,在2023-2025年间，投入资本回报率的最大值，金龙鱼相对顺丰控股的比值是多少？（指标单位：%；投入资本用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.3064,hard,profitability,ROIC = NOPAT / 平均投入资本 * 100%；NOPAT = (利润总额 + 利息支出) × (1 - 所得税费用 / 利润总额)；投入资本 = 股东权益 + 有息负债（短期借款 + 长期借款 + 应付债券 + 一年内到期非流动负债 + 租赁负债 + 应付利息）- 金融资产（货币资金 + 交易性金融资产 + 其他权益工具投资 + 其他债权投资 + 债权投资 + 衍生金融资产 + 买入返售金融资产）,"corporate,year,利润总额,财务费用——利息费用,所得税费用,股东权益合计,短期借款,长期借款,应付债券,一年内到期的非流动负债,租赁负债,应付利息,货币资金,交易性金融资产,其他权益工具投资,其他债权投资,债权投资,衍生金融资产,买入返售金融资产
+金龙鱼,2022,3865751000.0,2370963000.0,740670000.0,93283406000.0,88013092000.0,15722473000.0,500636000.0,2734188000.0,115475000.0,0.0,39461617000.0,20104992000.0,933441000.0,0.0,0.0,584040000.0,0.0
+金龙鱼,2023,3415627000.0,2461974000.0,630599000.0,95964847000.0,95401139000.0,10357879000.0,0.0,9830774000.0,112910000.0,0.0,59296322000.0,20515898000.0,1023142000.0,0.0,0.0,754884000.0,0.0
+金龙鱼,2024,3656270000.0,2187080000.0,1187710000.0,98205563000.0,80161357000.0,5010939000.0,500611000.0,8517465000.0,120064000.0,0.0,52906285000.0,11160202000.0,912625000.0,0.0,0.0,1575256000.0,0.0
+金龙鱼,2025,4888880000.0,1655606000.0,1509415000.0,100949991000.0,81152703000.0,3615360000.0,501080000.0,1042479000.0,161371000.0,0.0,44203829000.0,23519278000.0,888163000.0,0.0,0.0,857548000.0,0.0
+顺丰控股,2022,10966778000.0,2054360000.0,3963158000.0,98286049000.0,12837870000.0,7472010000.0,18927508000.0,11173650000.0,8582372000.0,0.0,41062750000.0,7385379000.0,7365684000.0,0.0,0.0,0.0,0.0
+顺丰控股,2023,10486505000.0,2269700000.0,2574896000.0,103283660000.0,18221977000.0,11355241000.0,18794782000.0,9485948000.0,8038495000.0,0.0,41974505000.0,6809742000.0,9489535000.0,0.0,0.0,0.0,0.0
+顺丰控股,2024,13607261000.0,2373319000.0,3388416000.0,102335221000.0,15003336000.0,6186386000.0,19941935000.0,7828639000.0,7094483000.0,0.0,33936101000.0,11246156000.0,8231994000.0,0.0,0.0,0.0,0.0
+顺丰控股,2025,14917877000.0,1752364000.0,3233066000.0,110324751000.0,7012902000.0,5183331000.0,12358825000.0,11738556000.0,9588355000.0,0.0,20969400000.0,16198976000.0,8297043000.0,0.0,0.0,0.0,0.0
+","corporate,year,投入资本回报率
+金龙鱼,2023,3.5583783033626775
+金龙鱼,2024,3.0817067799036795
+金龙鱼,2025,3.709404429744946
+顺丰控股,2023,9.06334149001177
+顺丰控股,2024,11.11826590196248
+顺丰控股,2025,12.106039083745738
+"
+CN,fundamental,分别统计陕西煤业和智飞生物在2022-2024年的投入资本回报率的平均值，计算两者之比。（指标单位：%；投入资本用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.8214,hard,profitability,ROIC = NOPAT / 平均投入资本 * 100%；NOPAT = (利润总额 + 利息支出) × (1 - 所得税费用 / 利润总额)；投入资本 = 股东权益 + 有息负债（短期借款 + 长期借款 + 应付债券 + 一年内到期非流动负债 + 租赁负债 + 应付利息）- 金融资产（货币资金 + 交易性金融资产 + 其他权益工具投资 + 其他债权投资 + 债权投资 + 衍生金融资产 + 买入返售金融资产）,"corporate,year,利润总额,财务费用——利息费用,所得税费用,股东权益合计,短期借款,长期借款,应付债券,一年内到期的非流动负债,租赁负债,应付利息,货币资金,交易性金融资产,其他权益工具投资,其他债权投资,债权投资,衍生金融资产,买入返售金融资产
+陕西煤业,2021,41122751362.12,620765782.66,7099551758.35,126224248048.03,50000000.0,8705355650.77,0.0,1771084318.84,243182446.7,0.0,54194878248.68,11548364594.73,1461265369.87,0.0,0.0,0.0,0.0
+陕西煤业,2022,63856008569.37,600405408.41,10646585814.97,144436775639.59,200226111.1,4163350946.76,0.0,2511747099.87,377184553.47,0.0,47937838481.62,21170110544.37,1465866323.02,0.0,0.0,0.0,0.0
+陕西煤业,2023,44999935362.54,1035491266.42,6657123094.46,139075353485.39,2426849843.9,16986337588.36,0.0,3918883979.09,449933484.35,73661202.8,27231800900.77,16027738569.91,1548728024.75,0.0,0.0,0.0,0.0
+陕西煤业,2024,43835613323.87,860303301.9,7278359234.36,128646907756.6,1931796323.23,13874859276.08,0.0,2656987245.46,260103643.81,62719193.32,29701196404.91,5401621747.85,1731669270.7,0.0,0.0,0.0,0.0
+智飞生物,2021,11931054734.79,56144537.45,1722506282.23,17657212911.83,568858956.43,236412360.31,0.0,248470.0,12240480.9,488298.93,4307751548.35,0.0,239000000.0,0.0,0.0,0.0,0.0
+智飞生物,2022,8718007864.78,53295566.36,1179008167.44,24236212609.17,1784915900.0,210642031.86,0.0,9805279.27,27764877.22,1422016.55,2622063766.18,0.0,284500000.0,0.0,0.0,0.0,0.0
+智飞生物,2023,9386873241.53,80996119.13,1279112076.61,31543973774.09,2635483275.35,328080291.01,0.0,46613063.67,25307401.72,0.0,6340512228.61,0.0,295000000.0,0.0,0.0,0.0,0.0
+智飞生物,2024,2162644237.86,161321690.78,222151717.91,30851397137.43,11901908557.91,1242080388.71,0.0,96776944.94,16668124.57,0.0,2705679728.64,11532021.23,295000000.0,0.0,0.0,0.0,0.0
+","corporate,year,投入资本回报率
+智飞生物,2022,40.678444736785096
+智飞生物,2023,31.87688948432307
+智飞生物,2024,6.0406309872508155
+陕西煤业,2022,71.18357088042076
+陕西煤业,2023,39.37509238200125
+陕西煤业,2024,32.59395571017571
+"
+CN,fundamental,"2022-2024年的存货周转天数的最小值, 天坛生物与伊利股份之比是多少？（存货用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",7.1014,hard,operational efficiency,平均存货 / 营业成本 * 365,"corporate,year,营业成本,存货
+天坛生物,2021,2157687170.36,2144147278.75
+天坛生物,2022,2170024378.44,2332002006.69
+天坛生物,2023,2550720565.86,2844499190.49
+天坛生物,2024,2732440125.66,3869072356.24
+伊利股份,2021,76416705532.38,8917195638.88
+伊利股份,2022,83118546374.24,14836164803.32
+伊利股份,2023,84788592077.34,12511775911.77
+伊利股份,2024,76298833033.93,10744674420.37
+","corporate,year,存货周转天数
+伊利股份,2022,52.154284089417054
+伊利股份,2023,58.86404123742709
+伊利股份,2024,55.62735387745857
+天坛生物,2022,376.44611402018256
+天坛生物,2023,370.37042831339363
+天坛生物,2024,448.40023968769697
+"
+CN,fundamental,福斯特与特变电工在2020至2024年存货周转天数最小值之比是多少？（存货用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.9498,hard,operational efficiency,平均存货 / 营业成本 * 365,"corporate,year,营业成本,存货
+福斯特,2019,5079270536.58,909178468.9
+福斯特,2020,6012974348.12,973726673.08
+福斯特,2021,9636342767.77,2449624665.07
+福斯特,2022,15929060448.4,3515598210.73
+福斯特,2023,19281512246.12,3089888250.87
+福斯特,2024,16324755205.89,1868284937.26
+特变电工,2019,29357907349.99,9634287540.21
+特变电工,2020,35583678762.48,6018087029.58
+特变电工,2021,49317190764.77,9751850373.13
+特变电工,2022,59284740677.37,14187125085.77
+特变电工,2023,71333104145.65,14423936646.51
+特变电工,2024,80090584218.23,16220390090.29
+","corporate,year,存货周转天数
+特变电工,2020,80.2772073695392
+特变电工,2021,58.35720833576959
+特变电工,2022,73.69287562586774
+特变电工,2023,73.19909638980033
+特变电工,2024,69.82830358968752
+福斯特,2020,57.14812146484351
+福斯特,2021,64.8338933419815
+福斯特,2022,68.34384101686614
+福斯特,2023,62.52109605586471
+福斯特,2024,55.42910723140569
+"
+CN,fundamental,2020到2024年，上汽集团的存货周转天数最小值是三花智控的几倍？（存货用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.3765,hard,operational efficiency,平均存货 / 营业成本 * 365,"corporate,year,营业成本,存货
+上汽集团,2019,726100213388.33,54398633356.34
+上汽集团,2020,657765544632.29,69395466035.32
+上汽集团,2021,686742792553.92,56635907090.04
+上汽集团,2022,651700777153.06,88535001044.3
+上汽集团,2023,657301172463.53,98603705752.11
+上汽集团,2024,556450036686.44,77277245777.65
+三花智控,2019,7946844445.83,2180838596.07
+三花智控,2020,8738221038.36,2307761706.46
+三花智控,2021,11907350969.11,3637853809.47
+三花智控,2022,15781099181.3,4334875287.86
+三花智控,2023,17773858964.12,4600729378.19
+三花智控,2024,20269833554.48,5280441824.48
+","corporate,year,存货周转天数
+三花智控,2020,93.74557494204426
+三花智控,2021,91.12646754699023
+三花智控,2022,92.20036218940133
+三花智控,2023,91.74979135628946
+三花智控,2024,88.96539478927836
+上汽集团,2020,34.3472280105638
+上汽集团,2021,33.49248924745328
+上汽集团,2022,40.65315197298695
+上汽集团,2023,51.95915574338911
+上汽集团,2024,57.68401750015268
+"
+CN,fundamental,在2018-2020年间，存货周转天数的最小值，浪潮信息相对紫金矿业的比值是多少？（存货用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.4494,hard,operational efficiency,平均存货 / 营业成本 * 365,"corporate,year,营业成本,存货
+浪潮信息,2017,22791923206.9,4987139638.18
+浪潮信息,2018,41767056951.49,8216716657.16
+浪潮信息,2019,45468314028.26,8567621303.4
+浪潮信息,2020,55660508811.34,10943256465.72
+紫金矿业,2017,81371973684.0,11089834955.0
+紫金矿业,2018,92651374475.0,12669674863.0
+紫金矿业,2019,120582627749.0,14886554158.0
+紫金矿业,2020,151070863441.0,18064160420.0
+","corporate,year,存货周转天数
+浪潮信息,2018,57.69388484082756
+浪潮信息,2019,67.3687103484497
+浪潮信息,2020,63.97237950039999
+紫金矿业,2018,46.800282957000356
+紫金矿业,2019,41.70593965492849
+紫金矿业,2020,39.80585847934566
+"
+CN,fundamental,分别统计贵州茅台和福莱特在2019-2023年的存货周转天数的平均值，计算两者之比。（存货用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,20.6638,hard,operational efficiency,平均存货 / 营业成本 * 365,"corporate,year,营业成本,存货
+贵州茅台,2018,6522921833.77,23506950842.22
+贵州茅台,2019,7430013945.12,25284920806.33
+贵州茅台,2020,8154001476.28,28869087678.06
+贵州茅台,2021,8983377809.96,33394365084.83
+贵州茅台,2022,10093468616.63,38824374236.24
+贵州茅台,2023,11867273851.78,46435185061.53
+福莱特,2018,2232762168.05,377123199.96
+福莱特,2019,3289735511.36,483619647.17
+福莱特,2020,3600864085.34,479395186.67
+福莱特,2021,5620391966.94,2276469528.29
+福莱特,2022,12048190879.61,2396316964.6
+福莱特,2023,16830721240.54,2001439456.08
+","corporate,year,存货周转天数
+福莱特,2019,47.750212458959865
+福莱特,2020,48.807786967389895
+福莱特,2021,89.48580693990753
+福莱特,2022,70.7810445131352
+福莱特,2023,47.68604596937342
+贵州茅台,2019,1198.4522023284792
+贵州茅台,2020,1212.056016564523
+贵州茅台,2021,1264.9006164061157
+贵州茅台,2022,1305.7869823243955
+贵州茅台,2023,1311.1578755308794
+"
+CN,fundamental,"2023-2025年的应收账款周转天数的平均值, 圣邦股份与泰格医药之比是多少？（使用应收票据及应收账款，用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",0.339,hard,operational efficiency,平均应收票据及应收账款 / 营业收入 * 365,"corporate,year,营业收入,应收票据及应收账款
+圣邦股份,2022,3187549913.33,110847711.38
+圣邦股份,2023,2615716404.14,166472282.93
+圣邦股份,2024,3346983120.66,232763853.97
+圣邦股份,2025,3898054583.68,362830308.17
+泰格医药,2022,7085471468.87,1033820331.79
+泰格医药,2023,7384039460.88,1260914900.86
+泰格医药,2024,6603120162.78,1365768881.61
+泰格医药,2025,6832800615.35,1412732524.78
+","corporate,year,应收账款周转天数
+圣邦股份,2023,19.348771480528654
+圣邦股份,2024,21.76903568306088
+圣邦股份,2025,27.88466201720922
+泰格医药,2023,56.71545800605937
+泰格医药,2024,72.5974658166684
+泰格医药,2025,74.21210352999606
+"
+CN,fundamental,中国化学与万华化学在2023至2025年应收账款周转天数最小值之比是多少？（使用应收票据及应收账款，用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.6824,hard,operational efficiency,平均应收票据及应收账款 / 营业收入 * 365,"corporate,year,营业收入,应收票据及应收账款
+中国化学,2022,157716226323.22,33418246510.18
+中国化学,2023,178357510396.41,34763084941.51
+中国化学,2024,185843681886.95,41072041410.03
+中国化学,2025,189500829774.75,43932227490.93
+万华化学,2022,165565484373.69,9060251936.64
+万华化学,2023,175360935668.36,9144253100.42
+万华化学,2024,182069119160.94,12318995367.05
+万华化学,2025,203234573814.42,15872973091.27
+","corporate,year,应收账款周转天数
+万华化学,2023,18.945622961014397
+万华化学,2024,21.51404292702051
+万华化学,2025,25.31574302087742
+中国化学,2023,69.7648950261636
+中国化学,2024,74.47070795538244
+中国化学,2025,81.86391105973016
+"
+CN,fundamental,2019到2021年，中国移动的应收账款周转天数最小值是恒立液压的几倍？（使用应收票据及应收账款，用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.2347,hard,operational efficiency,平均应收票据及应收账款 / 营业收入 * 365,"corporate,year,营业收入,应收票据及应收账款
+中国移动,2018,736819000000.0,27337000000.0
+中国移动,2019,745917000000.0,34207000000.0
+中国移动,2020,768070000000.0,39812000000.0
+中国移动,2021,848258000000.0,37592000000.0
+恒立液压,2018,4210975401.85,1328319763.41
+恒立液压,2019,5414021975.86,1051770755.73
+恒立液压,2020,7855038369.93,1764518515.59
+恒立液压,2021,9309218098.53,1507948966.13
+","corporate,year,应收账款周转天数
+中国移动,2019,15.057680680290165
+中国移动,2020,17.587547358964677
+中国移动,2021,16.653223429664088
+恒立液压,2019,80.22991441109774
+恒立液压,2020,65.4322446066524
+恒立液压,2021,64.15418664519275
+"
+CN,fundamental,在2019-2021年间，应收账款周转天数的平均值，东方盛虹相对浙能电力的比值是多少？（使用应收票据及应收账款，用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.1253,hard,operational efficiency,平均应收票据及应收账款 / 营业收入 * 365,"corporate,year,营业收入,应收票据及应收账款
+东方盛虹,2018,23263990855.11,672250708.17
+东方盛虹,2019,24887768959.59,357909488.29
+东方盛虹,2020,33698796950.06,336149774.87
+东方盛虹,2021,52690217451.46,880085040.4
+浙能电力,2018,56633636514.17,6521371538.28
+浙能电力,2019,54370549106.11,5893842608.45
+浙能电力,2020,51684433449.89,6141479400.03
+浙能电力,2021,71073237421.13,9337035689.9
+","corporate,year,应收账款周转天数
+东方盛虹,2019,7.55408153134218
+东方盛虹,2020,3.758763724248455
+东方盛虹,2021,4.21260083033923
+浙能电力,2019,41.672865531600884
+浙能电力,2020,42.49724955729924
+浙能电力,2021,39.74532617916749
+"
+CN,fundamental,分别统计招商公路和京沪高铁在2018-2022年的应收账款周转天数的最小值，计算两者之比。（使用应收票据及应收账款，用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,12.2719,hard,operational efficiency,平均应收票据及应收账款 / 营业收入 * 365,"corporate,year,营业收入,应收票据及应收账款
+招商公路,2017,5340664303.94,1271955325.66
+招商公路,2018,6759340168.24,1620406022.89
+招商公路,2019,8292216434.56,1623439646.31
+招商公路,2020,7068918714.74,1210292497.8
+招商公路,2021,8626031576.35,1415740468.66
+招商公路,2022,8297090007.26,1822753955.65
+京沪高铁,2017,29555409435.45,1226084544.93
+京沪高铁,2018,31158421590.01,1195124524.58
+京沪高铁,2019,34856248852.69,1311002100.14
+京沪高铁,2020,25238431430.89,956697124.91
+京沪高铁,2021,29304780634.27,230774561.22
+京沪高铁,2022,19335662193.2,248889636.68
+","corporate,year,应收账款周转天数
+京沪高铁,2018,14.181419745833578
+京沪高铁,2019,13.12155277936923
+京沪高铁,2020,16.39781417101447
+京沪高铁,2021,7.395161404664903
+京沪高铁,2022,4.527319273685685
+招商公路,2018,78.09282163229528
+招商公路,2019,71.39247260378734
+招商公路,2020,73.15915448592004
+招商公路,2021,55.55869024325311
+招商公路,2022,71.23283367053084
+"
+CN,fundamental,"2019-2021年的应付账款周转天数的最小值, 中国电建与天赐材料之比是多少？（使用应付票据及应付账款，用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",1.4334,hard,operational efficiency,平均应付票据及应付账款 / 营业成本 * 365,"corporate,year,营业成本,应付票据及应付账款
+中国电建,2018,251143212453.31,108796766921.06
+中国电建,2019,298987115646.06,120478753934.87
+中国电建,2020,344083259868.59,131086968686.82
+中国电建,2021,496859829124.15,192363636395.1
+天赐材料,2018,1574019007.37,864414472.96
+天赐材料,2019,2048297313.74,836166676.55
+天赐材料,2020,2678492400.44,908835912.57
+天赐材料,2021,7210975942.25,2366197020.98
+","corporate,year,应付账款周转天数
+中国电建,2019,139.94844716232046
+中国电建,2020,133.42917175334932
+中国电建,2021,118.80561069206641
+天赐材料,2019,151.51904838409115
+天赐材料,2020,118.89635097045098
+天赐材料,2021,82.8866321507072
+"
+CN,fundamental,卓胜微与隆基绿能在2019至2021年应付账款周转天数平均值之比是多少？（使用应付票据及应付账款，用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.3194,hard,operational efficiency,平均应付票据及应付账款 / 营业成本 * 365,"corporate,year,营业成本,应付票据及应付账款
+卓胜微,2018,270357734.73,32607297.14
+卓胜微,2019,718905369.51,130190261.0
+卓胜微,2020,1323356287.55,223546797.79
+卓胜微,2021,1958857134.58,375774499.36
+隆基绿能,2018,17095694430.48,8506848626.88
+隆基绿能,2019,23389364451.22,13713925124.8
+隆基绿能,2020,41145628529.0,22144193623.73
+隆基绿能,2021,64311584987.93,21711162408.13
+","corporate,year,应付账款周转天数
+卓胜微,2019,41.327489848629824
+卓胜微,2020,48.782791026513976
+卓胜微,2021,55.83670947668494
+隆基绿能,2019,173.38184704159733
+隆基绿能,2020,159.04743482030779
+隆基绿能,2021,124.45039999117681
+"
+CN,fundamental,2021到2023年，新和成的应付账款周转天数最小值是中海油服的几倍？（使用应付票据及应付账款，用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.7926,hard,operational efficiency,平均应付票据及应付账款 / 营业成本 * 365,"corporate,year,营业成本,应付票据及应付账款
+新和成,2020,4727264003.94,1961372833.27
+新和成,2021,8299544991.07,2130091374.49
+新和成,2022,10048300866.94,2802897126.28
+新和成,2023,10131490375.45,2280306070.41
+中海油服,2020,22284357348.0,8846957755.0
+中海油服,2021,24409292129.0,8542034296.0
+中海油服,2022,31281209725.0,10833229835.0
+中海油服,2023,37103693174.0,13261513517.0
+","corporate,year,应付账款周转天数
+中海油服,2021,130.01159691710862
+中海油服,2022,113.03864955969186
+中海油服,2023,118.5135571577374
+新和成,2021,89.96784989051966
+新和成,2022,89.5942919416866
+新和成,2023,91.56447363793907
+"
+CN,fundamental,在2019-2021年间，应付账款周转天数的最大值，上海机场相对科伦药业的比值是多少？（使用应付票据及应付账款，用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.3674,hard,operational efficiency,平均应付票据及应付账款 / 营业成本 * 365,"corporate,year,营业成本,应付票据及应付账款
+上海机场,2018,4499345858.59,454045341.58
+上海机场,2019,5340221124.91,574750388.53
+上海机场,2020,6600710345.64,618064146.21
+上海机场,2021,9719227141.6,1139094256.27
+科伦药业,2018,6612151970.0,1549799958.0
+科伦药业,2019,7022556594.0,1662268198.0
+科伦药业,2020,7532912220.0,1860886746.0
+科伦药业,2021,7660152442.0,2155857651.0
+","corporate,year,应付账款周转天数
+上海机场,2019,35.158697805465735
+上海机场,2020,32.97957964991464
+上海机场,2021,32.994537917529186
+科伦药业,2019,83.47422062370353
+科伦药业,2020,85.35553827016452
+科伦药业,2021,95.69729297203196
+"
+CN,fundamental,分别统计万泰生物和华润微在2020-2024年的应付账款周转天数的最大值，计算两者之比。（使用应付票据及应付账款，用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出��始数据和关键计算过程。,2.6301,hard,operational efficiency,平均应付票据及应付账款 / 营业成本 * 365,"corporate,year,营业成本,应付票据及应付账款
+万泰生物,2019,330864391.75,85046671.98
+万泰生物,2020,442141668.5,112737637.58
+万泰生物,2021,817710610.15,193455333.72
+万泰生物,2022,1170412037.36,351800953.69
+万泰生物,2023,873242267.41,389592543.69
+万泰生物,2024,759044722.33,444861883.39
+华润微,2019,4431294665.43,848457345.39
+华润微,2020,5060613153.05,1127722691.32
+华润微,2021,5981703813.76,1317376284.73
+华润微,2022,6366624706.25,1343818663.22
+华润微,2023,6710216323.21,1182318680.63
+华润微,2024,7366838781.24,1324299770.52
+","corporate,year,应付账款周转天数
+万泰生物,2020,81.63816954225838
+万泰生物,2021,68.33740025948715
+万泰生物,2022,85.0207185811073
+万泰生物,2023,154.94475968640057
+万泰生物,2024,200.63104117848243
+华润微,2020,71.26663228194231
+华润微,2021,74.59924078865949
+华润微,2022,76.28344694545972
+华润微,2023,68.70420312054628
+华润微,2024,62.09690220177112
+"
+CN,fundamental,"2021-2023年的营业周期的平均值, 上海机场与潍柴动力之比是多少？（计算应收账款周转天数时，使用应收票据及应收账款；存货和应收票据及应收账款都用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",0.7322,hard,operational efficiency,存货周转天数 + 应收账款周转天数,"corporate,year,营业成本,存货,营业收入,应收票据及应收账款
+上海机场,2020,6600710345.64,17184783.32,4303465087.94,1647809061.72
+上海机场,2021,9719227141.6,38661874.05,8154776878.02,1861016708.84
+上海机场,2022,8900959687.2,48268533.83,5480447621.36,2102115928.16
+上海机场,2023,9222977511.94,47501771.79,11047016050.98,2591579798.06
+潍柴动力,2020,158978858817.89,31301456901.62,197288388945.87,34581030008.48
+潍柴动力,2021,178434041284.59,35424893249.08,220215066328.86,28311223758.87
+潍柴动力,2022,144010596212.12,33373961762.55,175157535625.82,31021109960.06
+潍柴动力,2023,170437251422.34,37930386262.83,213958475631.13,32457135638.46
+","corporate,year,营业周期
+上海机场,2021,79.57448443986192
+上海机场,2022,133.75547762020648
+上海机场,2023,79.43631169455276
+潍柴动力,2021,120.36786790383856
+潍柴动力,2022,149.00607561136755
+潍柴动力,2023,130.4959264509904
+"
+CN,fundamental,新奥股份与鹏鼎控股在2023至2025年营业周期平均值之比是多少？（计算应收账款周转天数时，使用应收票据及应收账款；存货和应收票据及应收账款都用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.229,hard,operational efficiency,存货周转天数 + 应收账款周转天数,"corporate,year,营业成本,存货,营业收入,应收票据及应收账款
+新奥股份,2022,130702630000.0,2416600000.0,154044170000.0,6701100000.0
+新奥股份,2023,123707400000.0,2166570000.0,143753980000.0,7074580000.0
+新奥股份,2024,116911670000.0,2325240000.0,135836490000.0,6648520000.0
+新奥股份,2025,113161000000.0,2455740000.0,131456770000.0,4998540000.0
+鹏鼎控股,2022,27521270880.15,3440024245.23,36210971441.99,6274373410.04
+鹏鼎控股,2023,25223943205.69,3054055741.52,32066047781.9,6209159682.25
+鹏鼎控股,2024,27843625405.47,3355543367.59,35140384498.03,5838796925.66
+鹏鼎控股,2025,30730418442.09,3806710623.33,39147009392.27,6217107787.01
+","corporate,year,营业周期
+新奥股份,2023,24.249985892649736
+新奥股份,2024,25.449105532327614
+新奥股份,2025,23.879994843294174
+鹏鼎控股,2023,118.03440304210378
+鹏鼎控股,2024,104.58199590095577
+鹏鼎控股,2025,98.7383660624132
+"
+CN,fundamental,2022到2024年，中国联通的营业周期平均值是美的集团的几倍？（计算应收账款周转天数时，使用应收票据及应收账款；存货和应收票据及应收账款都用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.3807,hard,operational efficiency,存货周转天数 + 应收账款周转天数,"corporate,year,营业成本,存货,营业收入,应收票据及应收账款
+中国联通,2021,247360584938.0,1846262040.0,327854494119.0,19871150584.0
+中国联通,2022,268880818445.0,1882083166.0,354943879228.0,28230943795.0
+中国联通,2023,281230556204.0,2216859105.0,372596794135.0,40940400083.0
+中国联通,2024,298345790158.0,2462505124.0,389589219642.0,58874812703.0
+美的集团,2021,264525999000.0,45924439000.0,341233208000.0,29421354000.0
+美的集团,2022,260538701000.0,46044897000.0,343917531000.0,32996102000.0
+美的集团,2023,276409404000.0,47339255000.0,372037280000.0,38406699000.0
+美的集团,2024,299584935000.0,63339188000.0,407149600000.0,42517549000.0
+","corporate,year,营业周期
+中国联通,2022,27.263026061165377
+中国联通,2023,36.540454263063125
+中国联通,2024,49.6200464792992
+美的集团,2022,97.54377425294109
+美的集团,2023,96.68320962496125
+美的集团,2024,103.6960072894324
+"
+CN,fundamental,在2017-2019年间，营业周期的最小值，保利发展相对华友钴业的比值是多少？（计算应收账款周转天数时，使用应收票据及应收账款；存货和应收票据及应收账款都用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,10.5402,hard,operational efficiency,存货周转天数 + 应收账款周转天数,"corporate,year,营业成本,存货,营业收入,应收票据及应收账款
+保利发展,2016,109880680194.3,303303584801.43,154752138129.8,1687100894.47
+保利发展,2017,101132555008.61,439669164688.64,146623004012.02,1873260484.26
+保利发展,2018,131338798272.8,474505085701.18,194513842492.17,2043814498.31
+保利发展,2019,153449636272.28,584001435001.13,235933564582.09,1845278032.0
+华友钴业,2016,4091582594.32,2032664412.47,4889385103.39,981613837.36
+华友钴业,2017,6333330464.18,4832631617.24,9653222710.89,2897871964.93
+华友钴业,2018,10337003721.2,5487843176.69,14450762951.95,1506491099.9
+华友钴业,2019,16748261571.9,3389917333.97,18852828463.22,867924954.21
+","corporate,year,营业周期
+保利发展,2017,1345.1721841870353
+保利发展,2018,1273.9532549410303
+保利发展,2019,1261.906300738599
+华友钴业,2017,271.1730346202225
+华友钴业,2018,237.83128330963348
+华友钴业,2019,119.722807838756
+"
+CN,fundamental,分别统计圆通速递和立讯精密在2021-2025年的营业周期的平均值，计算两者之比。（计算应收账款周转天数时，使用应收票据及应收账款；存货和应收票据及应收账款都用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.1081,hard,operational efficiency,存货周转天数 + 应收账款周转天数,"corporate,year,营业成本,存货,营业收入,应收票据及应收账款
+圆通速递,2020,31752525976.8,51094194.65,34907041590.3,1358318401.63
+圆通速递,2021,41440181342.37,73177887.93,45154953607.39,1627020624.49
+圆通速递,2022,47489510375.85,81871849.07,53539313975.17,963478142.08
+圆通速递,2023,51825247195.56,139464809.8,57684349587.96,1716538957.93
+圆通速递,2024,62515353749.3,178380915.51,69032666856.95,1967092783.21
+圆通速递,2025,68113962592.03,344844989.09,75276847420.82,1692168970.82
+立讯精密,2020,75770007049.58,13211009381.15,92501259211.54,14100363941.97
+立讯精密,2021,135048336292.88,20900755733.15,153946097790.4,31931022580.89
+立讯精密,2022,187928880285.38,37363329476.66,214028394291.44,26993121879.88
+立讯精密,2023,205041300458.59,29757930319.35,231905459829.83,23765555238.13
+立讯精密,2024,240809417980.59,31702675549.03,268794737612.58,32910872432.24
+立讯精密,2025,292755910976.71,42332782449.47,332344443143.39,48960683022.18
+","corporate,year,营业周期
+圆通速递,2021,12.612947790702778
+圆通速递,2022,9.426108289818796
+圆通速递,2023,9.258382923624314
+圆通速递,2024,10.666210156721089
+圆通速递,2025,10.273352930691068
+立讯精密,2021,100.66682988117716
+立讯精密,2022,106.82501928091507
+立讯精密,2023,99.68723460297659
+立讯精密,2024,85.05942212089903
+立讯精密,2025,91.11073646600133
+"
+CN,fundamental,"2023-2025年的现金周转期的平均值, 领益智造与中国核电之比是多少？（计算应收账款周转天数时，使用应收票据及应收账款；计算应付账款周转天数时，使用应付票据及应付账款；存货、应收票据及应收账款和应付票据及应付账款都用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",0.3785,hard,operational efficiency,存货周转天数 + 应收账款周转天数 - 应付账款周转天数,"corporate,year,营业成本,存货,营业收入,应收票据及应收账款,应付票据及应付账款
+领益智造,2022,27334660095.3,5101359957.13,34484678505.9,9209627054.51,6959569916.31
+领益智造,2023,27319096273.84,5727100063.82,34123706020.59,8895997184.23,8027058371.67
+领益智造,2024,37279852080.03,5859233677.83,44259532627.2,11549131753.67,10418316152.19
+领益智造,2025,43301912696.09,7189891213.02,51428944353.94,14023705253.35,14103284202.39
+中国核电,2022,38756964886.8,24809227804.28,71285600843.64,17363654826.53,20538986819.43
+中国核电,2023,41509673010.7,26422613122.64,74957180264.96,21414105300.87,22407573198.57
+中国核电,2024,44115695715.99,30860055929.67,77272058526.64,24685265478.06,26866352105.96
+中国核电,2025,48161106764.31,36321655980.12,82075495244.95,25424744156.3,28664735368.17
+","corporate,year,现金周转期
+中国核电,2023,130.8399005189794
+中国核电,2024,142.00777782884492
+中国核电,2025,155.57120781076216
+领益智造,2023,69.05443672911832
+领益智造,2024,50.725769715417314
+领益智造,2025,42.39556433417026
+"
+CN,fundamental,海南机场与思源电气在2019至2023年现金周转期平均值之比是多少？（计算应收账款周转天数时，使用应收票据及应收账款；计算应付账款周转天数时，使用应付票据及应付账款；存货、应收票据及应收账款和应付票据及应付账款都用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,12.2633,hard,operational efficiency,存货周转天数 + 应收账款周转天数 - 应付账款周转天数,"corporate,year,营业成本,存货,营业收入,应收票据及应收账款,应付票据及应付账款
+海南机场,2018,6521298413.7,33126099653.68,12433443536.19,3869484291.74,8702130624.26
+海南机场,2019,7341823550.43,24125027684.09,11529506164.31,3158240067.91,7773342553.75
+海南机场,2020,4373270721.15,12835911633.01,6319139499.54,2312420676.29,6880344359.76
+海南机场,2021,2943578325.01,12568600178.57,4524553773.9,1194391873.71,4126053540.73
+海南机场,2022,3058722615.61,12790377329.69,4700656255.83,1452126468.53,3416460383.17
+海南机场,2023,3454293123.85,11859883737.3,6761642242.46,1447723696.43,3905382269.9
+思源电气,2018,3336086264.06,1060759360.55,4806616779.94,2938814635.46,1802190204.13
+思源电气,2019,4510246016.78,1541517266.81,6380095191.01,3051054630.94,2386000009.01
+思源电气,2020,5215058722.63,1910765695.68,7372519863.93,2825324831.63,2632436236.73
+思源电气,2021,6045166036.76,2606847351.13,8695335076.97,3576786745.86,3328970274.92
+思源电气,2022,7763175219.2,2458679992.63,10537097608.15,4500828655.96,4054882989.14
+思源电气,2023,8784341078.86,2860764626.97,12460028391.72,5321004680.95,4967163823.22
+","corporate,year,现金周转期
+思源电气,2019,107.16625292207578
+思源电气,2020,90.65717011876231
+思源电气,2021,90.7819428400957
+思源电气,2022,85.40217451896137
+思源电气,2023,66.93498764530105
+海南机场,2019,1124.8257845346072
+海南机场,2020,1088.8945478977425
+海南机场,2021,1034.1229134515147
+海南机场,2022,1165.776357547914
+海南机场,2023,993.7773368468061
+"
+CN,fundamental,2021到2023年，宝丰能源的现金周转期最大值是东方财富的几倍？（计算应收账款周转天数时，使用应收票据及应收账款；计算应付账款周转天数时，使用应付票据及应付账款；存货、应收票据及应收账款和应付票据及应付账款都用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-0.0445,hard,operational efficiency,存货周转天数 + 应收账款周转天数 - 应付账款周转天数,"corporate,year,营业成本,存货,营业收入,应收票据及应收账款,应付票据及应付账款
+宝丰能源,2020,8744572767.71,803321868.19,15927728889.05,19949791.11,767920313.7
+宝丰能源,2021,13465741720.3,940393067.25,23299935290.2,38334917.78,894200354.34
+宝丰能源,2022,19084290617.17,1347682806.69,28429848345.48,70869058.42,1678022290.67
+宝丰能源,2023,20278991462.56,1292155809.0,29135511197.96,26383931.11,1948321004.85
+东方财富,2020,566645612.46,0.0,3252288346.37,726021922.6,211046973.13
+东方财富,2021,663441110.02,0.0,5404805007.55,1819259030.82,229011620.11
+东方财富,2022,534296018.16,0.0,4628584901.79,1048289250.34,299105381.45
+东方财富,2023,537976100.94,0.0,3887734788.12,795892173.17,213699357.45
+","corporate,year,现金周转期
+东方财富,2021,-35.10713434603575
+东方财富,2022,-67.32515994946223
+东方财富,2023,-87.3905170140873
+宝丰能源,2021,1.5623629790854032
+宝丰能源,2022,-2.01623570605528
+宝丰能源,2023,-8.268834179790158
+"
+CN,fundamental,在2017-2021年间，现金周转期的最小值，中兴通讯相对福耀玻璃的比值是多少？（计算应收账款周转天数时，使用应收票据及应收账款；计算应付账款周转天数时，使用应付票据及应付账款；存货、应收票据及应收账款和应付票据及应付账款都用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.5369,hard,operational efficiency,存货周转天数 + 应收账款周转天数 - 应付账款周转天数,"corporate,year,营业成本,存货,营业收入,应收票据及应收账款,应付票据及应付账款
+中兴通讯,2016,70100658000.0,26810568000.0,101233182000.0,27982681000.0,36933838000.0
+中兴��讯,2017,75005818000.0,26234139000.0,108815273000.0,26398228000.0,34463067000.0
+中兴通讯,2018,57367578000.0,25011416000.0,85513150000.0,21592325000.0,27443104000.0
+中兴通讯,2019,57008377000.0,27688508000.0,90736582000.0,19778280000.0,27728550000.0
+中兴通讯,2020,69379215000.0,33689306000.0,101450670000.0,15891020000.0,28515789000.0
+中兴通讯,2021,74159846000.0,36316753000.0,114521641000.0,17509059000.0,33274643000.0
+福耀玻璃,2016,9463313931.0,2785865099.0,16621336273.0,4507940963.0,1914202706.0
+福耀玻璃,2017,10712611816.0,2974677451.0,18713034974.0,4637643979.0,2401097118.0
+福耀玻璃,2018,11603054947.0,3241739977.0,20224985720.0,4304107516.0,2465349981.0
+福耀玻璃,2019,13197554393.0,3280465303.0,21103877523.0,3477440317.0,2097319605.0
+福耀玻璃,2020,12640913159.0,3280989599.0,19906593468.0,3753925498.0,2466005390.0
+福耀玻璃,2021,15129053236.0,4327048485.0,23603063361.0,4350121771.0,3148222805.0
+","corporate,year,现金周转期
+中兴通讯,2017,46.551622650667014
+中兴通讯,2018,68.50625159565027
+中兴通讯,2019,75.29667802704355
+中兴通讯,2020,77.66909694900244
+中兴通讯,2021,73.44371421402994
+福耀玻璃,2017,113.81401533188203
+福耀玻璃,2018,101.91898989408492
+福耀玻璃,2019,94.38957641660474
+福耀玻璃,2020,95.14333355394565
+福耀玻璃,2021,86.71197154022572
+"
+CN,fundamental,分别统计龙佰集团和温氏股份在2022-2024年的现金周转期的最小值，计算两者之比。（计算应收账款周转天数时，使用应收票据及应收账款；计算应付账款周转天数时，使用应付票据及应付账款；存货、应收票据及应收账款和应付票据及应付账款都用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-2.6981,hard,operational efficiency,存货周转天数 + 应收账款周转天数 - 应付账款周转天数,"corporate,year,营业成本,存货,营业收入,应收票据及应收账款,应付票据及应付账款
+龙佰集团,2021,11943194972.2,4515997872.49,20565780950.46,2249936039.42,10086517742.48
+龙佰集团,2022,16834114032.61,6546613278.89,24112968453.5,2377494655.67,15029678392.62
+龙佰集团,2023,19628413207.75,7328180921.73,26764876739.31,3392532554.52,10278819192.12
+龙佰集团,2024,20630935217.42,7736809246.16,27513124442.06,3892732323.93,12211380716.64
+温氏股份,2021,70355836393.88,14943684202.66,64954064169.73,412224486.75,6771782646.49
+温氏股份,2022,70696857742.45,20388326002.09,83708187230.99,537985656.11,7555128790.58
+温氏股份,2023,89146814526.97,20335660530.71,89902322387.76,521466466.53,11026679848.15
+温氏股份,2024,87179185848.01,19511338790.31,105583714275.85,1007191976.12,9308588735.99
+","corporate,year,现金周转期
+温氏股份,2022,56.2951338102679
+温氏股份,2023,47.4797967176657
+温氏股份,2024,43.48791910381627
+龙佰集团,2022,-117.33315754441946
+龙佰集团,2023,-66.96394408928339
+龙佰集团,2024,-17.358350543196906
+"
+CN,fundamental,"2023-2025年的存货周转率的最小值, 正泰电器与华润微之比是多少？（存货用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",0.2463,hard,operational efficiency,营业成本 / 平均存货,"corporate,year,营业成本,存货
+正泰电器,2022,35346875673.1,22476698627.77
+正泰电器,2023,44734170805.82,37943634229.42
+正泰电器,2024,49355307123.75,44560792406.95
+正泰电器,2025,43765898571.92,57203967966.56
+华润微,2022,6366624706.25,1876498945.41
+华润微,2023,6710216323.21,1965742888.15
+华润微,2024,7366838781.24,2096424815.57
+华润微,2025,8137474951.57,2279408054.34
+","corporate,year,存货周转率
+华润微,2023,3.49286516252034
+华润微,2024,3.6270480780464527
+华润微,2025,3.719280508872528
+正泰电器,2023,1.4807654539591517
+正泰电器,2024,1.1964280981256576
+正泰电器,2025,0.8601385865064649
+"
+CN,fundamental,用友网络与芒果超媒在2017至2019年存货周转率最大值之比是多少？（存货用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,16.3418,hard,operational efficiency,营业成本 / 平均存货,"corporate,year,营业成本,存货
+用友网络,2016,1603567007.0,34624680.0
+用友网络,2017,1812454538.0,31837078.0
+用友网络,2018,2314825198.0,21767989.0
+用友网络,2019,2942232116.0,22859468.0
+芒果超媒,2016,2537390051.42,101690186.4
+芒果超媒,2017,5774341404.1,1329598688.81
+芒果超媒,2018,6082772751.37,2214812395.09
+芒果超媒,2019,8284740949.42,1916375338.89
+","corporate,year,存货周转率
+用友网络,2017,54.54127584166522
+用友网络,2018,86.36591007338914
+用友网络,2019,131.85748477669253
+芒果超媒,2017,8.06872952638968
+芒果超媒,2018,3.4323178702381103
+��果超媒,2019,4.010827627743003
+"
+CN,fundamental,2020到2024年，海尔智家的存货周转率平均值是星宇股份的几倍？（存货用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.3136,hard,operational efficiency,营业成本 / 平均存货,"corporate,year,营业成本,存货
+海尔智家,2019,140868398722.26,28228600971.61
+海尔智家,2020,147471922284.89,29446973404.75
+海尔智家,2021,155949547009.4,39913949898.86
+海尔智家,2022,167263342432.05,41587786307.53
+海尔智家,2023,198838470796.47,39524006616.33
+海尔智家,2024,206439444975.26,43189855697.96
+星宇股份,2019,4627673539.15,1503821450.92
+星宇股份,2020,5418424501.75,1550036241.15
+星宇股份,2021,6162913577.11,1969885333.91
+星宇股份,2022,6386902974.22,2326070166.46
+星宇股份,2023,8139044797.32,2245406476.0
+星宇股份,2024,10697270184.74,2629252263.74
+","corporate,year,存货周转率
+星宇股份,2020,3.548576946345671
+星宇股份,2021,3.501733459504675
+星宇股份,2022,2.973449317000566
+星宇股份,2023,3.560794655155548
+星宇股份,2024,4.388930899934366
+海尔智家,2020,5.1138432128154285
+海尔智家,2021,4.496755221287065
+海尔智家,2022,4.1045344606765815
+海尔智家,2023,4.902825190490378
+海尔智家,2024,4.991652891043746
+"
+CN,fundamental,在2022-2024年间，存货周转率的平均值，格力电器相对海康威视的比值是多少？（存货用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.5072,hard,operational efficiency,营业成本 / 平均存货,"corporate,year,营业成本,存货
+格力电器,2021,142251638589.87,42765598328.01
+格力电器,2022,139784387882.78,38314176763.9
+格力电器,2023,143953487220.05,32579140028.7
+格力电器,2024,133496119623.36,27910910515.55
+海康威视,2021,45329400332.65,17974112407.6
+海康威视,2022,47996254466.32,18998222978.81
+海康威视,2023,49732768547.57,19211444296.82
+海康威视,2024,51953857912.21,19110711958.11
+","corporate,year,存货周转率
+格力电器,2022,3.448070439867992
+格力电器,2023,4.061129983273012
+格力电器,2024,4.4138207332362605
+海康威视,2022,2.5963333916938383
+海康威视,2023,2.6031510920425833
+海康威视,2024,2.7114266518093606
+"
+CN,fundamental,分别统计深南电路和浪潮信息在2019-2021年的存货周转率的最大值，计算两者之比。（存货用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.9572,hard,operational efficiency,营业成本 / 平均存货,"corporate,year,营业成本,存货
+深南电路,2018,5843797323.19,1327301115.63
+深南电路,2019,7731867071.12,1504293117.26
+深南电路,2020,8529682481.08,2205895255.84
+深南电路,2021,10636989974.18,2526556570.04
+浪潮信息,2018,41767056951.49,8216716657.16
+浪潮信息,2019,45468314028.26,8567621303.4
+浪潮信息,2020,55660508811.34,10943256465.72
+浪潮信息,2021,59379318169.68,22402228567.57
+","corporate,year,存货周转率
+浪潮信息,2019,5.417945484069957
+浪潮信息,2020,5.7055873620851925
+浪潮信息,2021,3.561460756105331
+深南电路,2019,5.461140569726794
+深南电路,2020,4.5979781204225665
+深南电路,2021,4.495339991000141
+"
+CN,fundamental,"2021-2025年的应收账款周转率的最小值, 联影医疗与东方财富之比是多少？（使用应收票据及应收账款，用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",0.8405,hard,operational efficiency,营业收入 / 平均应收票据及应收账款,"corporate,year,营业收入,应收票据及应收账款
+联影医疗,2020,5761033749.87,675284313.49
+联影医疗,2021,7253755673.4,1062372147.08
+联影医疗,2022,9238122700.8,2029275841.92
+联影医疗,2023,11410765602.39,3232580100.54
+联影医疗,2024,10300104386.97,4359864269.15
+联影医疗,2025,13800251663.95,5681852637.95
+东方财富,2020,3252288346.37,726021922.6
+东方财富,2021,5404805007.55,1819259030.82
+东方财富,2022,4628584901.79,1048289250.34
+东方财富,2023,3887734788.12,795892173.17
+东方财富,2024,3110730456.84,737866444.91
+东方财富,2025,3532270003.05,921226716.86
+","corporate,year,应收账款周转率
+东方财富,2021,4.246922132731762
+东方财富,2022,3.2282524637510996
+东方财富,2023,4.216217275110101
+东方财富,2024,4.056349441392669
+东方财富,2025,4.258073126263272
+联影医疗,2021,8.348895006577495
+联影医疗,2022,5.976180169067753
+联影医疗,2023,4.337163817166491
+联影医疗,2024,2.7132511969634763
+联影医疗,2025,2.7485840900757776
+"
+CN,fundamental,宁德时代与华利集团在2018至2020年应收账款周转率最小值之比是多少？（使用应���票据及应收账款，用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.3,hard,operational efficiency,营业收入 / 平均应收票据及应收账款,"corporate,year,营业收入,应收票据及应收账款
+宁德时代,2017,19996860806.33,12376856841.25
+宁德时代,2018,29611265434.22,15967748024.97
+宁德时代,2019,45788020642.41,17988485338.2
+宁德时代,2020,50319487700.0,21170680000.0
+华利集团,2017,10009183924.06,1333203074.73
+华利集团,2018,12388480165.62,1722772348.94
+华利集团,2019,15165661300.47,2230934424.07
+华利集团,2020,13931137966.93,1769893626.36
+","corporate,year,应收账款周转率
+华利集团,2018,8.107709289587385
+华利集团,2019,7.671616622658243
+华利集团,2020,6.964127321309253
+宁德时代,2018,2.089375778845981
+宁德时代,2019,2.696884554461399
+宁德时代,2020,2.5699979693342976
+"
+CN,fundamental,2022到2024年，赛轮轮胎的应收账款周转率平均值是华润微的几倍？（使用应收票据及应收账款，用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.1659,hard,operational efficiency,营业收入 / 平均应收票据及应收账款,"corporate,year,营业收入,应收票据及应收账款
+赛轮轮胎,2021,17998428484.24,2372644450.21
+赛轮轮胎,2022,21902213873.16,2721166120.95
+赛轮轮胎,2023,25978259490.19,3392497973.27
+赛轮轮胎,2024,31802388102.78,5086030460.95
+华润微,2021,9249202849.06,1150758995.2
+华润微,2022,10060129516.04,1297692759.8
+华润微,2023,9900603859.18,1554429460.64
+华润微,2024,10118525841.56,1853029198.21
+","corporate,year,应收账款周转率
+华润微,2022,8.217543593004144
+华润微,2023,6.9426224361820115
+华润微,2024,5.939045402813456
+赛轮轮胎,2022,8.599539997488469
+赛轮轮胎,2023,8.49842552349268
+赛轮轮胎,2024,7.501865058191724
+"
+CN,fundamental,在2019-2021年间，应收账款周转率的平均值，拓普集团相对山西焦煤的比值是多少？（使用应收票据及应收账款，用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.2899,hard,operational efficiency,营业收入 / 平均应收票据及应收账款,"corporate,year,营业收入,应收票据及应收账款
+拓普集团,2018,5984017661.79,2465785737.36
+拓普集团,2019,5358953813.6,1797754982.79
+拓普集团,2020,6511094914.05,2079550959.38
+拓普集团,2021,11462693679.86,3532359877.35
+山西焦煤,2018,32271005488.06,6089482062.21
+山西焦煤,2019,36007526834.78,3858928283.8
+山西焦煤,2020,33756582333.29,3124303016.81
+山西焦煤,2021,54170210466.8,3085251940.14
+","corporate,year,应收账款周转率
+山西焦煤,2019,7.238850345416543
+山西焦煤,2020,9.66789753343593
+山西焦煤,2021,17.447372909123022
+拓普集团,2019,2.51385135752214
+拓普集团,2020,3.3585664949647773
+拓普集团,2021,4.08513036409509
+"
+CN,fundamental,分别统计华电国际和长春高新在2020-2024年的应收账款周转率的最大值，计算两者之比。（使用应收票据及应收账款，用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.5351,hard,operational efficiency,营业收入 / 平均应收票据及应收账款,"corporate,year,营业收入,应收票据及应收账款
+华电国际,2019,93654431000.0,12261884000.0
+华电国际,2020,93009907000.0,10479459000.0
+华电国际,2021,104607537000.0,9053363000.0
+华电国际,2022,107058536000.0,11968314000.0
+华电国际,2023,117176125000.0,12183286000.0
+华电国际,2024,141502221000.0,15105901000.0
+长春高新,2019,7373701266.96,1031360334.83
+长春高新,2020,8576600708.5,1511739991.23
+长春高新,2021,10746717262.21,1568651317.78
+长春高新,2022,12627188966.71,2439513059.35
+长春高新,2023,14566039611.98,3350665829.44
+长春高新,2024,13465627318.38,2970338884.01
+","corporate,year,应收账款周转率
+华电国际,2020,8.179807762452727
+华电国际,2021,10.710949703017823
+华电国际,2022,10.18553714815426
+华电国际,2023,9.70338404080889
+华电国际,2024,10.370570658627535
+长春高新,2020,6.744995956795493
+长春高新,2021,6.977501352361536
+长春高新,2022,6.300734091026253
+长春高新,2023,5.031291741324397
+长春高新,2024,4.260597145174558
+"
+CN,fundamental,"2019-2023年的应付账款周转率的最大值, 中航沈飞与潞安环能之比是多少？（使用应付票据及应付账款，用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",1.9377,hard,operational efficiency,营业成本 / 平均应付票据及应付账款,"corporate,year,营业成本,应付票据及应付账款
+中航沈飞,2018,18319023386.21,8770566474.8
+中航沈飞,2019,21646571261.48,10892530103.57
+中航沈飞,2020,24793578864.74,13520889607.56
+中航沈飞,2021,31246028021.08,12329984933.67
+中航沈飞,2022,37459711875.41,19227281352.14
+中航沈飞,2023,41184208925.63,27071302736.88
+潞安环能,2018,16289849349.58,17714215886.48
+潞安环能,2019,16412625401.02,19900124198.07
+潞安环能,2020,17273720802.99,17325269597.31
+潞安环能,2021,23306864721.94,20037860960.17
+潞安环能,2022,23956002370.14,19511449890.78
+潞安环能,2023,22554919948.51,16783226930.8
+","corporate,year,应付账款周转率
+中航沈飞,2019,2.2017459127258605
+中航沈飞,2020,2.0311434578283754
+中航沈飞,2021,2.4174058770232456
+中航沈飞,2022,2.374078384112384
+中航沈飞,2023,1.779069910494178
+潞安环能,2019,0.8726791624751351
+潞安环能,2020,0.9280611454610761
+潞安环能,2021,1.247586290237879
+潞安环能,2022,1.211449800499599
+潞安环能,2023,1.2428775745483067
+"
+CN,fundamental,卓胜微与山西焦煤在2018至2020年应付账款周转率平均值之比是多少？（使用应付票据及应付账款，用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,4.8197,hard,operational efficiency,营业成本 / 平均应付票据及应付账款,"corporate,year,营业成本,应付票据及应付账款
+卓胜微,2017,260958626.04,21565494.44
+卓胜微,2018,270357734.73,32607297.14
+卓胜微,2019,718905369.51,130190261.0
+卓胜微,2020,1323356287.55,223546797.79
+山西焦煤,2017,19069452175.94,10263797826.73
+山西焦煤,2018,22015412573.35,12241697596.34
+山西焦煤,2019,24103317138.71,14196145948.1
+山西焦煤,2020,24898019255.95,15516031310.48
+","corporate,year,应付账款周转率
+卓胜微,2018,9.9813107962416
+卓胜微,2019,8.831893767003157
+卓胜微,2020,7.482146722634597
+山西焦煤,2018,1.9564477172790762
+山西焦煤,2019,1.823395096365871
+山西焦煤,2020,1.675947140410936
+"
+CN,fundamental,2017到2021年，晶盛机电的应付账款周转率最大值是新希望的几倍？（使用应付票据及应付账款，用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0967,hard,operational efficiency,营业成本 / 平均应付票据及应付账款,"corporate,year,营业成本,应付票据及应付账款
+晶盛机电,2016,667221498.95,298008144.83
+晶盛机电,2017,1201368603.66,1066427131.03
+晶盛机电,2018,1533912065.02,1229706066.83
+晶盛机电,2019,2004333958.01,1869060101.7
+晶盛机电,2020,2415788304.32,2774869012.51
+晶盛机电,2021,3593119836.91,4147171957.24
+新希望,2016,56027485134.96,2984442097.83
+新希望,2017,57468202720.11,3326458699.42
+新希望,2018,63033328796.12,4300927958.83
+新希望,2019,72150061066.97,5512731289.21
+新希望,2020,98175150554.22,10099573653.67
+新希望,2021,124235991080.56,9585839603.1
+","corporate,year,应付账款周转率
+新希望,2017,18.212361298771167
+新希望,2018,16.52815875747989
+新希望,2019,14.704007800429778
+新希望,2020,12.5766375834201
+新希望,2021,12.622136955934522
+晶盛机电,2017,1.760975584426723
+晶盛机电,2018,1.3360828252033539
+晶盛机电,2019,1.2936335618771913
+晶盛机电,2020,1.040407053987068
+晶盛机电,2021,1.0381677463662198
+"
+CN,fundamental,在2017-2019年间，应付账款周转率的最小值，思源电气相对润泽科技的比值是多少？（使用应付票据及应付账款，用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.4682,hard,operational efficiency,营业成本 / 平均应付票据及应付账款,"corporate,year,营业成本,应付票据及应付账款
+思源电气,2016,2850461399.57,1285805789.23
+思源电气,2017,3038754498.21,1491414811.79
+思源电气,2018,3336086264.06,1802190204.13
+思源电气,2019,4510246016.78,2386000009.01
+润泽科技,2016,411014442.3,311134995.37
+润泽科技,2017,509400013.75,335968187.97
+润泽科技,2018,476827327.86,355204053.77
+润泽科技,2019,481445071.38,323399626.91
+","corporate,year,应付账款周转率
+思源电气,2017,2.1883421843363435
+思源电气,2018,2.025796200779791
+思源电气,2019,2.153792348126684
+润泽科技,2017,1.5744011986488768
+润泽科技,2018,1.379764113962694
+润泽科技,2019,1.4189285590009304
+"
+CN,fundamental,分别统计华友钴业和万华化学在2022-2024年的应付账款周转率的最小值，计算两者之比。（使用应付票据及应付账款，用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.9425,hard,operational efficiency,营业成本 / 平均应付票据及应付账款,"corporate,year,营业成本,应付票据及应付账款
+华友钴业,2021,28131068440.83,11043970033.88
+华友钴业,2022,51313704226.23,25393122509.84
+华友钴业,2023,56948773263.76,20021644718.81
+华友钴业,2024,50445676975.22,16251362698.2
+万华化学,2021,107316508644.35,20390007700.95
+万华化学,2022,138132222629.6,24205245891.6
+万华化学,2023,145926359223.32,45593737856.93
+万华化学,2024,152642583643.9,69136123487.01
+","corporate,year,应付账款周转率
+万华化学,2022,6.194929347937427
+万华化学,2023,4.181331915921865
+万华化学,2024,2.6609041770965676
+华友钴业,2022,2.816564146256176
+华友钴业,2023,2.5079407751685556
+华友钴业,2024,2.7814444165202477
+"
+CN,fundamental,"2017-2021年的总资产周转率的最小值, 中国巨石与招商公路之比是多少？（总资产按期初期末平均值计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",4.2933,hard,operational efficiency,营业收入 / 平均总资产,"corporate,year,营业收入,资产合计
+中国巨石,2016,7446333673.92,23932068085.14
+中国巨石,2017,8651549179.12,24791808201.34
+中国巨石,2018,10032423279.18,30370459577.44
+中国巨石,2019,10493293115.71,33604242332.45
+中国巨石,2020,11666196819.43,36737268362.83
+中国巨石,2021,19706882079.97,43828317484.55
+招商公路,2016,5053238252.18,55363643081.99
+招商公路,2017,5340664303.94,65170485622.88
+招商公路,2018,6759340168.24,84084253695.73
+招商公路,2019,8292216434.56,91019317004.27
+招商公路,2020,7068918714.74,94009174838.88
+招商公路,2021,8626031576.35,98320774957.7
+","corporate,year,总资产周转率
+中国巨石,2017,0.35512565249331984
+中国巨石,2018,0.36374223479765294
+中国巨石,2019,0.3280450803972505
+中国巨石,2020,0.3317016283590513
+中国巨石,2021,0.4892133998082475
+招商公路,2017,0.08861663267200799
+招商公路,2018,0.09057454656513148
+招商公路,2019,0.09471213409767434
+招商公路,2020,0.07640897511862522
+招商公路,2021,0.08970034657081148
+"
+CN,fundamental,华电国际与白云山在2017至2021年总资产周转率最大值之比是多少？（总资产按期初期末平均值计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.3781,hard,operational efficiency,营业收入 / 平均总资产,"corporate,year,营业收入,资产合计
+华电国际,2016,63346051000.0,210111953000.0
+华电国际,2017,79006836000.0,216278588000.0
+华电国际,2018,89313661000.0,226428520000.0
+华电国际,2019,93654431000.0,229875595000.0
+华电国际,2020,93009907000.0,242750409000.0
+华电国际,2021,104607537000.0,218938578000.0
+白云山,2016,20035681499.37,25897170220.54
+白云山,2017,20954225189.53,28314713453.32
+白云山,2018,42233838051.12,51482183869.48
+白云山,2019,64951777641.83,56893659126.2
+白云山,2020,61673702450.01,59760062879.12
+白云山,2021,69014052347.03,66117789763.95
+","corporate,year,总资产周转率
+华电国际,2017,0.3705843746660412
+华电国际,2018,0.40348871471022324
+华电国际,2019,0.41049128386668177
+华电国际,2020,0.39358776797224215
+华电国际,2021,0.45315153683750314
+白云山,2017,0.7730491460356228
+白云山,2018,1.0585333382142095
+白云山,2019,1.1986393987158017
+白云山,2020,1.0573807914538271
+白云山,2021,1.0965241446042326
+"
+CN,fundamental,2017到2019年，龙佰集团的总资产周转率平均值是恒立液压的几倍？（总资产按期初期末平均值计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.8357,hard,operational efficiency,营业收入 / 平均总资产,"corporate,year,营业收入,资产合计
+龙佰集团,2016,4135559614.7,18048563627.76
+龙佰集团,2017,10257509524.84,20846353820.17
+龙佰集团,2018,10440588458.46,20923673048.52
+龙佰集团,2019,11358539703.02,25942781551.31
+恒立液压,2016,1370100268.36,5199065280.46
+恒立液压,2017,2795211617.28,6156091176.03
+恒立液压,2018,4210975401.85,7271344616.26
+恒立液压,2019,5414021975.86,8426883642.1
+","corporate,year,总资产周转率
+恒立液压,2017,0.49232463295253087
+恒立液压,2018,0.6272195923316842
+恒立液压,2019,0.689762167648033
+龙佰集团,2017,0.5274472963503313
+龙佰集团,2018,0.4999081514254931
+龙佰集团,2019,0.48471939258068825
+"
+CN,fundamental,在2021-2025年间，总资产周转率的最小值，中国电信相对天合光能的比值是多少？（总资产按期初期末平均值计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.049,hard,operational efficiency,营业收入 / 平均总资产,"corporate,year,营业收入,资产合计
+中国电信,2020,389939266024.2,715103425413.54
+中国电信,2021,434159563363.61,762246299381.58
+中国电信,2022,474967243497.96,807698157613.04
+中国电信,2023,507842674997.4,835813904890.77
+中国电信,2024,523568920041.49,866625200722.04
+中国电信,2025,523924731368.75,870643642518.74
+天合光能,2020,29417973429.28,45592461350.87
+天合光能,2021,44480390071.81,63539881859.12
+天合光能,2022,85051792848.83,89977706102.23
+天合光能,2023,113410686218.03,120345975260.61
+天合光能,2024,80314069269.5,124052177668.34
+天合光能,2025,66974548527.63,115014364491.82
+","corporate,year,总资产周转率
+中国电信,2021,0.5877546204218091
+中国电信,2022,0.6050752195491049
+中国电信,2023,0.6179968940705267
+中国电信,2024,0.615080936892631
+中国电信,2025,0.6031590716741309
+天合光能,2021,0.8151642082168405
+天合光能,2022,1.1080397233734922
+天合光能,2023,1.078439531708077
+天合光能,2024,0.65723957654335
+天合光能,2025,0.5603004746917796
+"
+CN,fundamental,分别统计中国中免和航发动力在2018-2022年的总资产周转率的平均值，计算两者之比。（总资产按期初期末平均值计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.3474,hard,operational efficiency,营业收入 / 平均总资产,"corporate,year,营业收入,资产合计
+中国中免,2017,28282286665.72,20932207413.07
+中国中免,2018,47007321221.24,26847426306.46
+中国中免,2019,48612287758.59,31824155398.19
+中国中免,2020,52597807274.25,41927649664.24
+中国中免,2021,67675515093.08,55473728507.58
+中国中免,2022,54432851387.25,75907603880.98
+航发动力,2017,22555003098.06,51685228427.78
+航发动力,2018,23102024803.26,53504042116.58
+航发动力,2019,25210496276.8,63115020067.35
+航发动力,2020,28632622738.15,64352332318.09
+航发动力,2021,34102193377.49,90648498035.02
+航发动力,2022,37097148873.02,89969986822.74
+","corporate,year,总资产周转率
+中国中免,2018,1.9676718954011438
+中国中免,2019,1.6570982525510216
+中国中免,2020,1.4263463037881339
+中国中免,2021,1.3896213044069587
+中国中免,2022,0.8286238295447479
+航发动力,2018,0.4392467916871332
+航发动力,2019,0.4323563541788451
+航发动力,2020,0.44925421611597816
+航发动力,2021,0.44002594437463627
+航发动力,2022,0.41077909497728987
+"
+CN,fundamental,"2023-2025年的固定资产周转率的最小值, 广汽集团与长城汽车之比是多少？（固定资产用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",0.6259,hard,operational efficiency,营业收入 / 平均固定资产合计,"corporate,year,营业收入,固定资产合计
+广汽集团,2022,109600170277.0,19283528186.0
+广汽集团,2023,128757302754.0,21927171006.0
+广汽集团,2024,106797859228.0,25251591046.0
+广汽集团,2025,95661525530.0,25208369729.0
+长城汽车,2022,137339985187.76,26949019721.87
+长城汽车,2023,173212076757.97,30235058181.32
+长城汽车,2024,202193779642.49,30200341280.37
+长城汽车,2025,222824238516.25,29281846505.15
+","corporate,year,固定资产周转率
+广汽集团,2023,6.248731774926785
+广汽集团,2024,4.527370137872137
+广汽集团,2025,3.791581446388867
+长城汽车,2023,6.058052629657158
+长城汽车,2024,6.6912366408915895
+长城汽车,2025,7.492133252384944
+"
+CN,fundamental,澜起科技与上海莱士在2019至2023年固定资产周转率平均值之比是多少？（固定资产用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,4.6471,hard,operational efficiency,营业收入 / 平均固定资产合计,"corporate,year,营业收入,固定资产合计
+澜起科技,2018,1757664583.13,23150271.53
+澜起科技,2019,1737734714.98,27669965.2
+澜起科技,2020,1823665555.45,985502589.85
+澜起科技,2021,2562017472.42,38647814.52
+澜起科技,2022,3672258476.69,520500219.36
+澜起科技,2023,2285738498.23,611807392.13
+上海莱士,2018,1804235399.91,1047606077.75
+上海莱士,2019,2584983982.36,1079135622.91
+上海莱士,2020,2761682036.39,1123342604.32
+上海莱士,2021,4287726749.67,1241510202.82
+上海莱士,2022,6567198581.04,1202478871.04
+上海莱士,2023,7963958567.3,1316303673.61
+","corporate,year,固定资产周转率
+上海莱士,2019,2.430933649871813
+上海莱士,2020,2.507795084869734
+上海莱士,2021,3.626210254375604
+上海莱士,2022,5.374163617407556
+上海莱士,2023,6.323657105069101
+澜起科技,2019,68.38750965338133
+澜起科技,2020,3.599911083971283
+澜起科技,2021,5.003205508659658
+澜起科技,2022,13.135192307510149
+澜起科技,2023,4.037310135577388
+"
+CN,fundamental,2020到2022年，宝丰能源的固定资产周转率最小值是京东方A的几倍？（固定资产用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小��。注意列出原始数据和关键计算过程。,0.9563,hard,operational efficiency,营业收入 / 平均固定资产合计,"corporate,year,营业收入,固定资产合计
+宝丰能源,2019,13568199157.86,17903776394.79
+宝丰能源,2020,15927728889.05,25179498379.65
+宝丰能源,2021,23299935290.2,23630171726.14
+宝丰能源,2022,28429848345.48,26412077995.35
+京东方A,2019,116059590164.0,125786241938.0
+京东方A,2020,135552569729.0,224866586069.0
+京东方A,2021,221035718012.0,227141366884.0
+京东方A,2022,178413731179.0,205987050430.0
+","corporate,year,固定资产周转率
+京东方A,2020,0.7731440268110086
+京东方A,2021,0.9780169422593473
+京东方A,2022,0.8238375689381632
+宝丰能源,2020,0.7393926748808536
+宝丰能源,2021,0.9547261942029012
+宝丰能源,2022,1.1362338225681796
+"
+CN,fundamental,在2020-2022年间，固定资产周转率的最大值，新产业相对牧原股份的比值是多少？（固定资产用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.9854,hard,operational efficiency,营业收入 / 平均固定资产合计,"corporate,year,营业收入,固定资产合计
+新产业,2019,1681588076.26,533205369.37
+新产业,2020,2194966537.25,631275924.07
+新产业,2021,2545415315.72,687398806.09
+新产业,2022,3046955734.5,716217119.57
+牧原股份,2019,20221332525.64,18864249817.52
+牧原股份,2020,56277065607.85,58530493076.94
+牧原股份,2021,78889870566.4,99550929343.39
+牧原股份,2022,124826212177.74,106358717863.88
+","corporate,year,固定资产周转率
+新产业,2020,3.7698613959969047
+新产业,2021,3.8605658507024767
+新产业,2022,4.341580454877325
+牧原股份,2020,1.4542865187779663
+牧原股份,2021,0.9980916082173914
+牧原股份,2022,1.2124367543798384
+"
+CN,fundamental,分别统计TCL科技和康龙化成在2022-2024年的固定资产周转率的最大值，计算两者之比。（固定资产用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.6321,hard,operational efficiency,营业收入 / 平均固定资产合计,"corporate,year,营业收入,固定资产合计
+TCL科技,2021,163657700000.0,113598783000.0
+TCL科技,2022,166552786000.0,132477672000.0
+TCL科技,2023,174366657000.0,176422621000.0
+TCL科技,2024,164822833000.0,170512009000.0
+康龙化成,2021,7443769724.38,3922573233.42
+康龙化成,2022,10266288179.53,5664695770.8
+康龙化成,2023,11537996314.78,6496642105.34
+康龙化成,2024,12275774875.03,7808674199.68
+","corporate,year,固定资产周转率
+TCL科技,2022,1.353666981264014
+TCL科技,2023,1.1289510625358974
+TCL科技,2024,0.9501665083131079
+康龙化成,2022,2.1416501769192284
+康龙化成,2023,1.897487995530004
+康龙化成,2024,1.7162535400524075
+"
+CN,fundamental,"2021-2025年的营运资本周转率的平均值, 招商公路与中国中冶之比是多少？（净营运资本用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",-3.1397,hard,operational efficiency,营业收入 / 平均净营运资本；净营运资本 = 流动资产合计 - 流动负债合计,"corporate,year,营业收入,流动资产合计,流动负债合计
+招商公路,2020,7068918714.74,10915862134.92,11056824203.64
+招商公路,2021,8626031576.35,11629619860.45,9734518101.41
+招商公路,2022,8297090007.26,12079927540.76,9724178723.35
+招商公路,2023,9731355008.25,14473100243.26,17211016955.66
+招商公路,2024,12711004049.53,15003048735.99,16230601378.65
+招商公路,2025,13360481923.55,15659709283.64,14589427288.21
+中国中冶,2020,400114623000.0,389253555000.0,331791251000.0
+中国中冶,2021,500571647000.0,412315644000.0,358889666000.0
+中国中冶,2022,592669072000.0,438205660000.0,385844649000.0
+中国中冶,2023,633870422000.0,484133951000.0,448818443000.0
+中国中冶,2024,552024638000.0,599767170000.0,573629900000.0
+中国中冶,2025,455380420000.0,639634797000.0,606414578000.0
+","corporate,year,营运资本周转率
+中国中冶,2021,9.028395750598788
+中国中冶,2022,11.204952094817633
+中国中冶,2023,14.459297180810749
+中国中冶,2024,17.965815573056762
+中国中冶,2025,15.343655119912501
+招商公路,2021,9.835056608036027
+招商公路,2022,3.9037316687753925
+招商公路,2023,-50.927119393452145
+招商公路,2024,-6.410844675075128
+招商公路,2025,-169.904329369371
+"
+CN,fundamental,TCL科技与华域汽车在2017至2021年营运资本周转率最小值之比是多少？（净营运资本用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-66.6927,hard,operational efficiency,营业收入 / 平均净营运资本；净营运资本 = 流动资产合计 - 流动负债合��,"corporate,year,营业收入,流动资产合计,流动负债合计
+TCL科技,2016,106473500000.0,75922319000.0,67293101000.0
+TCL科技,2017,111577362000.0,80095907000.0,72247802000.0
+TCL科技,2018,113360076000.0,80307801000.0,78835404000.0
+TCL科技,2019,74933086000.0,48155523000.0,43057791000.0
+TCL科技,2020,76677238000.0,65688464000.0,71016514000.0
+TCL科技,2021,163657700000.0,87183292000.0,80778939000.0
+华域汽车,2016,124295812980.59,67832100805.2,51728705581.94
+华域汽车,2017,140487250484.34,78762741987.9,66722722414.2
+华域汽车,2018,157170235004.69,80901225804.72,68078251886.83
+华域汽车,2019,144023626070.75,83516602262.35,69868622616.88
+华域汽车,2020,133577639721.75,93927743484.68,84712579144.04
+华域汽车,2021,139944139630.43,94995006723.32,88332154183.04
+","corporate,year,营运资本周转率
+TCL科技,2017,13.543141929062141
+TCL科技,2018,24.324886363416905
+TCL科技,2019,22.810232797559987
+TCL科技,2020,-665.8379978985577
+TCL科技,2021,304.1108312436182
+华域汽车,2017,9.983667689076253
+华域汽车,2018,12.642905212347294
+华域汽车,2019,10.88163490038391
+华域汽车,2020,11.684975592412151
+华域汽车,2021,17.627407840659917
+"
+CN,fundamental,2023到2025年，寒武纪的营运资本周转率最大值是牧原股份的几倍？（净营运资本用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-0.1739,hard,operational efficiency,营业收入 / 平均净营运资本；净营运资本 = 流动资产合计 - 流动负债合计,"corporate,year,营业收入,流动资产合计,流动负债合计
+寒武纪,2022,729034623.05,4255159512.88,542144659.04
+寒武纪,2023,709386584.26,5647516868.13,463181039.5
+寒武纪,2024,1174464377.35,5800316619.44,818135979.38
+寒武纪,2025,6497196198.68,12080444359.15,1332968851.41
+牧原股份,2022,124826212177.74,62578347772.27,78167176415.42
+牧原股份,2023,110860727714.4,63582798966.22,94659039714.16
+牧原股份,2024,137946892076.87,61318601205.85,85476512749.91
+牧原股份,2025,144144965371.68,54576221945.66,69840395136.56
+","corporate,year,营运资本周转率
+寒武纪,2023,0.15946018305374168
+寒武纪,2024,0.23104558596192093
+寒武纪,2025,0.8261078484654248
+牧原股份,2023,-4.751336670489006
+牧原股份,2024,-4.994985397715606
+牧原股份,2025,-7.312904243435428
+"
+CN,fundamental,在2019-2021年间，营运资本周转率的最小值，中兴通讯相对鹏鼎控股的比值是多少？（净营运资本用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.7664,hard,operational efficiency,营业收入 / 平均净营运资本；净营运资本 = 流动资产合计 - 流动负债合计,"corporate,year,营业收入,流动资产合计,流动负债合计
+中兴通讯,2018,85513150000.0,92847653000.0,88115349000.0
+中兴通讯,2019,90736582000.0,102567174000.0,86370516000.0
+中兴通讯,2020,101450670000.0,106977275000.0,74394975000.0
+中兴通讯,2021,114521641000.0,127871085000.0,78685256000.0
+鹏鼎控股,2018,25854780280.84,16445726151.11,9420493456.99
+鹏鼎控股,2019,26614629372.49,16423817019.51,8884985098.4
+鹏鼎控股,2020,29851314480.5,16805914637.74,11150933447.29
+鹏鼎控股,2021,33314849220.68,15936765409.68,10943478805.28
+","corporate,year,营运资本周转率
+中兴通讯,2019,8.670910865049112
+中兴通讯,2020,4.159607919463962
+中兴通讯,2021,2.8011315019816583
+鹏鼎控股,2019,3.654835387733508
+鹏鼎控股,2020,4.525047342734486
+鹏鼎控股,2021,6.257327456920763
+"
+CN,fundamental,分别统计智飞生物和万科A在2018-2022年的营运资本周转率的最大值，计算两者之比。（净营运资本用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.888,hard,operational efficiency,营业收入 / 平均净营运资本；净营运资本 = 流动资产合计 - 流动负债合计,"corporate,year,营业收入,流动资产合计,流动负债合计
+智飞生物,2017,1342568632.76,2285730957.84,1069427559.85
+智飞生物,2018,5228307728.17,4616473289.58,2535598745.51
+智飞生物,2019,10587318311.6,8166521149.91,5072002421.1
+智飞生物,2020,15190366231.21,11536995507.21,6816506258.42
+智飞生物,2021,30652415906.61,24753780404.17,11870916297.57
+智飞生物,2022,38264011331.74,31413362556.7,13230005564.86
+万科A,2017,242897110250.52,1017552832148.3,847355429875.81
+万科A,2018,297679331103.19,1295071856292.37,1121913936785.61
+万科A,2019,367893877538.94,1438989354552.98,1272610284010.69
+万科A,2020,419111677714.12,1547387061234.69,1317492688869.78
+万科A,2021,452797773974.14,1600268307291.9,1311446467338.73
+万科A,2022,503838367358.76,1415356379958.52,1077801572017.84
+","corporate,year,营运资本周转率
+万科A,2018,1.7339433072458623
+万��A,2019,2.167032684632054
+万科A,2020,2.1152650283065695
+万科A,2021,1.7458400690837932
+万科A,2022,1.608739307421128
+智飞生物,2018,3.1713834194241124
+智飞生物,2019,4.091406296437208
+智飞生物,2020,3.8874857900976796
+智飞生物,2021,3.4825655416641954
+智飞生物,2022,2.463383699645493
+"
+CN,fundamental,"2020-2022年的流动比率的最大值, 华电国际与长江电力之比是多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",1.3805,hard,solvency,流动资产合计 / 流动负债合计,"corporate,year,流动资产合计,流动负债合计
+华电国际,2020,25895311000.0,61751828000.0
+华电国际,2021,29578770000.0,65662878000.0
+华电国际,2022,29230395000.0,63091810000.0
+长江电力,2020,14675612128.79,78466607623.54
+长江电力,2021,17923455064.88,53406216174.22
+长江电力,2022,27089392212.99,91751118323.71
+","corporate,year,流动比率
+华电国际,2020,0.4193448491921567
+华电国际,2021,0.45046411154868965
+华电国际,2022,0.4632993569212866
+长江电力,2020,0.18703003192388956
+长江电力,2021,0.335606158773928
+长江电力,2022,0.29524863247350364
+"
+CN,fundamental,川投能源与青岛啤酒在2017至2021年流动比率最大值之比是多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.6137,hard,solvency,流动资产合计 / 流动负债合计,"corporate,year,流动资产合计,流动负债合计
+川投能源,2017,1354377268.35,3456472444.28
+川投能源,2018,1265306779.46,5308036947.94
+川投能源,2019,5442710103.46,5584889099.74
+川投能源,2020,4543410941.59,5394274490.09
+川投能源,2021,4096174875.51,7824725409.6
+青岛啤酒,2017,14072983367.0,10452233305.0
+青岛啤酒,2018,17760305197.0,12086870134.0
+青岛啤酒,2019,21001818050.0,13353780994.0
+青岛啤酒,2020,24628119678.0,15509945598.0
+青岛啤酒,2021,28958619410.0,18258643516.0
+","corporate,year,流动比率
+川投能源,2017,0.3918380054183025
+川投能源,2018,0.23837565410147607
+川投能源,2019,0.9745421988260038
+川投能源,2020,0.8422654334585402
+川投能源,2021,0.5234911975932708
+青岛啤酒,2017,1.346409227228783
+青岛啤酒,2018,1.4693882700899383
+青岛啤酒,2019,1.5727244635385549
+青岛啤酒,2020,1.5878920736624496
+青岛啤酒,2021,1.5860224985839524
+"
+CN,fundamental,2016到2020年，长安汽车的流动比率平均值是荣盛石化的几倍？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.6648,hard,solvency,流动资产合计 / 流动负债合计,"corporate,year,流动资产合计,流动负债合计
+长安汽车,2016,65997575218.85,59994282854.7
+长安汽车,2017,62756619377.25,54602700070.83
+长安汽车,2018,43213278415.51,43159964615.61
+长安汽车,2019,49606716722.43,49233360218.72
+长安汽车,2020,72889650351.22,62592980841.58
+荣盛石化,2016,16283101039.54,18473726128.2
+荣盛石化,2017,19161595671.62,31764626004.66
+荣盛石化,2018,32117000671.95,54959729774.93
+荣盛石化,2019,55596202514.69,81171504664.24
+荣盛石化,2020,52050061948.72,103414763604.75
+","corporate,year,流动比率
+荣盛石化,2016,0.8814194238099033
+荣盛石化,2017,0.6032369362324277
+荣盛石化,2018,0.5843733366862411
+荣盛石化,2019,0.6849226553660627
+荣盛石化,2020,0.5033136482103727
+长安汽车,2016,1.1000644074484458
+长安汽车,2017,1.1493317967031451
+长安汽车,2018,1.0012352605099384
+长安汽车,2019,1.0075834048712369
+长安汽车,2020,1.1645019836281707
+"
+CN,fundamental,在2017-2021年间，流动比率的最小值，紫金矿业相对万科A的比值是多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.7234,hard,solvency,流动资产合计 / 流动负债合计,"corporate,year,流动资产合计,流动负债合计
+紫金矿业,2017,28675010591.0,28793593015.0
+紫金矿业,2018,30448688235.0,37223097530.0
+紫金矿业,2019,28594396116.0,33362656029.0
+紫金矿业,2020,39262403933.0,47035701043.0
+紫金矿业,2021,47064293441.0,50302460681.0
+万科A,2017,1017552832148.3,847355429875.81
+万科A,2018,1295071856292.37,1121913936785.61
+万科A,2019,1438989354552.98,1272610284010.69
+万科A,2020,1547387061234.69,1317492688869.78
+万科A,2021,1600268307291.9,1311446467338.73
+","corporate,year,流动比率
+万科A,2017,1.2008571565977153
+万科A,2018,1.154341535325672
+万科A,2019,1.1307384300069765
+万科A,2020,1.1744938505595248
+万科A,2021,1.2202315131774044
+紫金矿业,2017,0.9958816385319392
+紫金矿业,2018,0.8180052240536899
+紫金矿业,2019,0.8570779284222677
+紫金矿业,2020,0.8347362335921461
+紫金矿业,2021,0.9356260668730445
+"
+CN,fundamental,分别统计泸州老窖和恒瑞医药在2018-2022年的流动比率的平均值，计算两者之比。按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.3264,hard,solvency,流动资产合计 / 流动负债合计,"corporate,year,流动资产合计,流动负债合计
+泸州老窖,2018,15494468403.49,5415483438.47
+泸州老窖,2019,16313738711.83,6787078920.19
+泸州老窖,2020,19889697283.61,7747571778.61
+泸州老窖,2021,26575357600.02,10946958438.33
+泸州老窖,2022,33551719277.8,10652141888.68
+恒瑞医药,2018,18069392099.65,2493634134.74
+恒瑞医药,2019,22311304817.0,2472634725.58
+恒瑞医药,2020,28050036003.39,3771593066.7
+恒瑞医药,2021,30187749035.96,3401532454.39
+恒瑞医药,2022,30934054194.94,3639219602.64
+","corporate,year,流动比率
+恒瑞医药,2018,7.246208193863218
+恒瑞医药,2019,9.023291870078582
+恒瑞医药,2020,7.437185164817558
+恒瑞医药,2021,8.874749672607077
+恒瑞医药,2022,8.500188934050449
+泸州老窖,2018,2.86114223772191
+泸州老窖,2019,2.4036465324280196
+泸州老窖,2020,2.567216910274103
+泸州老窖,2021,2.4276476200885413
+泸州老窖,2022,3.1497627076724646
+"
+CN,fundamental,"2016-2020年的速动比率的最大值, 三花智控与赛轮轮胎之比是多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",2.662,hard,solvency,(流动资产合计 - 存货) / 流动负债合计,"corporate,year,流动资产合计,流动负债合计,存货
+三花智控,2016,6372402974.72,3161431364.64,1344964753.23
+三花智控,2017,8783518106.88,3754832708.88,1856573695.35
+三花智控,2018,9687063018.79,4792847961.81,2026869790.61
+三花智控,2019,10051190592.03,4708277726.4,2180838596.07
+三花智控,2020,11584353013.52,4727602462.38,2307761706.46
+赛轮轮胎,2016,5125150349.91,6850177855.84,1687518355.87
+赛轮轮胎,2017,6909109895.55,8230182915.03,2085609495.8
+赛轮轮胎,2018,6859289432.08,8434069053.96,2271037105.7
+赛轮轮胎,2019,8470546801.36,8466725670.13,2229460621.15
+赛轮轮胎,2020,10305991626.39,10866939288.64,2656272064.12
+","corporate,year,速动比率
+三花智控,2016,1.5902411413136868
+三花智控,2017,1.8448077314198594
+三花智控,2018,1.5982550018730741
+三花智控,2019,1.6715989271044462
+三花智控,2020,1.9622189853903071
+赛轮轮胎,2016,0.5018310570008495
+赛轮轮胎,2017,0.5860745076444535
+赛轮轮胎,2018,0.5440140811066403
+赛轮轮胎,2019,0.737131026014945
+赛轮轮胎,2020,0.7039442624168156
+"
+CN,fundamental,中国交建与中航沈飞在2017至2021年速动比率最大值之比是多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.9549,hard,solvency,(流动资产合计 - 存货) / 流动负债合计,"corporate,year,流动资产合计,流动负债合计,存货
+中国交建,2017,449545408511.0,446711004540.0,130113267841.0
+中国交建,2018,481502269837.0,479869657472.0,46861681594.0
+中国交建,2019,529369262809.0,528339075982.0,62613479369.0
+中国交建,2020,584497077626.0,582708009670.0,72877427117.0
+中国交建,2021,567571956074.0,599382670091.0,73067375837.0
+中航沈飞,2017,20157509441.71,18000258410.47,7919603705.18
+中航沈飞,2018,21980846839.02,19284475807.04,9770728250.62
+中航沈飞,2019,22755168488.2,19055088951.01,10485832542.58
+中航沈飞,2020,26512903458.7,21443865160.03,7778495511.91
+中航沈飞,2021,57157739280.73,50461854947.41,9295572475.36
+","corporate,year,速动比率
+中国交建,2017,0.7150756023996651
+中国交建,2018,0.905747178374913
+中国交建,2019,0.8834398299472022
+中国交建,2020,0.8780034631731614
+中国交建,2021,0.8250231528414441
+中航沈飞,2017,0.6798738916665618
+中航沈飞,2018,0.6331579199027316
+中航沈飞,2019,0.6438876237819753
+中航沈飞,2020,0.8736488411478052
+中航沈飞,2021,0.9484821129792131
+"
+CN,fundamental,2021到2025年，紫金矿业的速动比率最小值是中国国航的几倍？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.592,hard,solvency,(流动资产合计 - 存货) / 流动负债合计,"corporate,year,流动资产合计,流动负债合计,存货
+紫金矿业,2021,47064293441.0,50302460681.0,19308800678.0
+紫金矿业,2022,79644459532.0,71169903836.0,28103963625.0
+紫金矿业,2023,77628540055.0,84182433105.0,29289613313.0
+紫金矿业,2024,98939034515.0,99784318940.0,33313199379.0
+紫金矿业,2025,148203580245.0,129480423573.0,39612522210.0
+中国国航,2021,30396728000.0,91415724000.0,2050282000.0
+中国国航,2022,22245131000.0,92482608000.0,2557823000.0
+中国国航,2023,32334721000.0,110317274000.0,3682821000.0
+中国国航,2024,40687203000.0,137610055000.0,4224992000.0
+中国国航,2025,34803309000.0,117292095000.0,4809698000.0
+","corporate,year,速动比率
+中国国航,2021,0.31008282557604644
+中国国航,2022,0.21287578741291552
+中国国航,2023,0.2597226976438885
+中国国航,2024,0.2649676362675678
+中国国航,2025,0.25571724164360776
+紫金矿业,2021,0.5517720681502102
+紫金矿业,2022,0.7241894836020444
+紫金矿业,2023,0.5742163175743245
+紫金矿业,2024,0.6576768357306784
+紫金矿业,2025,0.8386677695240722
+"
+CN,fundamental,在2019-2023年间，速动比率的最大值，三一重工相对古井贡酒的比值是多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.7031,hard,solvency,(流动资产合计 - 存货) / 流动负债合计,"corporate,year,流动资产合计,流动负债合计,存货
+三一重工,2019,72686306000.0,47952561000.0,14251743000.0
+三一重工,2020,91655968000.0,62067520000.0,19197907000.0
+三一重工,2021,93718958000.0,61432364000.0,18462609000.0
+三一重工,2022,105765114000.0,67711911000.0,19738362000.0
+三一重工,2023,97634345000.0,54427014000.0,19767762000.0
+古井贡酒,2019,10526466414.66,4247491846.89,3015051961.78
+古井贡酒,2020,11519855170.5,4487723834.75,3416880808.96
+古井贡酒,2021,20290239634.12,7679627317.28,4663456672.3
+古井贡酒,2022,22328220103.19,10008504274.95,6058106090.88
+古井贡酒,2023,25508066655.36,12408612368.81,7519682536.51
+","corporate,year,速动比率
+三一重工,2019,1.2185910779614044
+三一重工,2020,1.1674070592799584
+三一重工,2021,1.2250277231721052
+三一重工,2022,1.2704818211377906
+三一重工,2023,1.4306605723400516
+古井贡酒,2019,1.7684352845503006
+古井贡酒,2020,1.8055866759883625
+古井贡酒,2021,2.0348361080827493
+古井贡酒,2022,1.6256289216993194
+古井贡酒,2023,1.4496692768052923
+"
+CN,fundamental,分别统计中际旭创和今世缘在2021-2025年的速动比率的最小值，计算两者之比。按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.9728,hard,solvency,(流动资产合计 - 存货) / 流动负债合计,"corporate,year,流动资产合计,流动负债合计,存货
+中际旭创,2021,10021726631.45,3165685103.79,3799217146.88
+中际旭创,2022,9587097237.95,3264244809.86,3887952384.13
+中际旭创,2023,11319394869.69,4360482355.93,4294660216.0
+中际旭创,2024,18195744299.84,6497384821.08,7051320216.04
+中际旭创,2025,31084025523.8,11558473234.21,12680707624.68
+今世缘,2021,9933348678.32,4979677348.15,3194218276.06
+今世缘,2022,11662420327.95,6940696769.48,3909663395.81
+今世缘,2023,12913950817.87,8142486003.85,4996078532.84
+今世缘,2024,13928397619.13,8373938562.96,5568637099.3
+今世缘,2025,13780814940.93,8422157584.89,6983360751.84
+","corporate,year,速动比率
+中际旭创,2021,1.9656122705067318
+中际旭创,2022,1.7459305860286964
+中际旭创,2023,1.6109994446226283
+中际旭创,2024,1.7152168742788987
+中际旭创,2025,1.5921928031680763
+今世缘,2021,1.3533267179978348
+今世缘,2022,1.1169998041451452
+今世缘,2023,0.9724146017919102
+今世缘,2024,0.9983068847444482
+今世缘,2025,0.8070917838541939
+"
+CN,fundamental,"2021-2023年的资产负债率的最大值, 广汽集团与福耀玻璃之比是多少？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",0.9665,hard,solvency,负债合计 / 资产合计 * 100%,"corporate,year,负债合计,资产合计
+广汽集团,2021,61601803661.0,154196563667.0
+广汽集团,2022,67554185467.0,189831614551.0
+广汽集团,2023,93994959024.0,218394747438.0
+福耀玻璃,2021,18490789663.0,44784893954.0
+福耀玻璃,2022,21779200663.0,50767498791.0
+福耀玻璃,2023,25219085168.0,56630407495.0
+","corporate,year,资产负债率
+广汽集团,2021,39.9501793010343
+广汽集团,2022,35.58637249479377
+广汽集团,2023,43.039019997806584
+福耀玻璃,2021,41.28800591108351
+福耀玻璃,2022,42.899889066153854
+福耀玻璃,2023,44.532763021750526
+"
+CN,fundamental,北新建材与古井贡酒在2019至2021年资产负债率最大值之比是多少？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0038,hard,solvency,负债合计 / 资产合计 * 100%,"corporate,year,负债合计,资产合计
+北新建材,2019,6921096717.35,21463592265.96
+北新建材,2020,5487252574.79,22968598366.54
+北新建材,2021,7047885943.11,26574009777.26
+古井贡酒,2019,4439142651.42,13871297363.16
+古井贡酒,2020,4737774922.41,15186625708.79
+古井贡酒,2021,8165225566.27,25418086447.8
+","corporate,year,资产负债率
+北新建材,2019,32.24575193000872
+北新建材,2020,23.89023695404798
+北新建材,2021,26.521725558861803
+古井贡酒,2019,32.0023609558661
+古井贡酒,2020,31.197021729901337
+古井贡酒,2021,32.123683201088184
+"
+CN,fundamental,2018到2020年，中远海控的资产负债率最大值是长城汽车的几倍��（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.1996,hard,solvency,负债合计 / 资产合计 * 100%,"corporate,year,负债合计,资产合计
+中远海控,2018,171790915611.87,228143804963.2
+中远海控,2019,193098792896.16,262224029547.74
+中远海控,2020,193229017272.09,271926073831.72
+长城汽车,2018,59111823806.94,111800411297.81
+长城汽车,2019,58697179552.06,113096409468.96
+长城汽车,2020,96669643048.05,154011490632.24
+","corporate,year,资产负债率
+中远海控,2018,75.2993997095736
+中远海控,2019,73.63886262795944
+中远海控,2020,71.05939292591292
+长城汽车,2018,52.87263536936372
+长城汽车,2019,51.90012647410332
+长城汽车,2020,62.7678120971408
+"
+CN,fundamental,在2019-2023年间，资产负债率的最小值，大华股份相对今世缘的比值是多少？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.1325,hard,solvency,负债合计 / 资产合计 * 100%,"corporate,year,负债合计,资产合计
+大华股份,2019,13588482501.27,29564650212.93
+大华股份,2020,16391391970.65,36595034080.75
+大华股份,2021,19885527513.83,44055872021.97
+大华股份,2022,20034522045.21,46252893804.54
+大华股份,2023,16997832815.0,52881927214.0
+今世缘,2019,2856026819.31,10062294425.83
+今世缘,2020,3583761444.62,11851101844.44
+今世缘,2021,5136617095.49,14433697118.61
+今世缘,2022,7118977901.77,18183711058.3
+今世缘,2023,8343830943.0,21630647731.29
+","corporate,year,资产负债率
+今世缘,2019,28.38345508931396
+今世缘,2020,30.23990082661671
+今世缘,2021,35.587674130054545
+今世缘,2022,39.15030259194822
+今世缘,2023,38.57411505495584
+大华股份,2019,45.96192548669872
+大华股份,2020,44.79130128552695
+大华股份,2021,45.137064825123396
+大华股份,2022,43.315175326918656
+大华股份,2023,32.14299045156581
+"
+CN,fundamental,分别统计中信特钢和中国广核在2018-2022年的资产负债率的平均值，计算两者之比。（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.9806,hard,solvency,负债合计 / 资产合计 * 100%,"corporate,year,负债合计,资产合计
+中信特钢,2018,46335658394.86,70163292208.68
+中信特钢,2019,47308430327.66,72585012817.44
+中信特钢,2020,49068562313.74,77468141637.0
+中信特钢,2021,51908652590.45,84701433832.56
+中信特钢,2022,54337273626.25,90774849545.46
+中国广核,2018,255430020253.07,368555670360.28
+中国广核,2019,252681367035.33,387975234526.79
+中国广核,2020,250267767227.82,391898373485.73
+中国广核,2021,249082576221.41,400032873123.47
+中国广核,2022,251082965789.67,409015917715.6
+","corporate,year,资产负债率
+中信特钢,2018,66.0397437695031
+中信特钢,2019,65.17658190217087
+中信特钢,2020,63.34031161308261
+中信特钢,2021,61.28426667848903
+中信特钢,2022,59.85939266034026
+中国广核,2018,69.30568182640508
+中国广核,2019,65.12822070808805
+中国广核,2020,63.86037405611557
+中国广核,2021,62.265526899468284
+中国广核,2022,61.38708908738728
+"
+CN,fundamental,"2016-2020年的产权比率的最大值, 圣邦股份与新和成之比是多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",0.7196,hard,solvency,负债合计 / 股东权益合计,"corporate,year,负债合计,股东权益合计
+圣邦股份,2016,129166275.51,262659757.67
+圣邦股份,2017,180068889.95,761303037.57
+圣邦股份,2018,185815306.1,876490656.82
+圣邦股份,2019,272638084.24,1120833247.3
+圣邦股份,2020,368357974.42,1498437992.37
+新和成,2016,3320088919.39,8090297017.22
+新和成,2017,4186694247.7,13996120521.62
+新和成,2018,5719871589.0,16215016981.86
+新和成,2019,11660421738.63,17063395447.81
+新和成,2020,11493176349.56,19403831449.98
+","corporate,year,产权比率
+圣邦股份,2016,0.49176271483613304
+圣邦股份,2017,0.2365272185498709
+圣邦股份,2018,0.21199918636230236
+圣邦股份,2019,0.2432458930860268
+圣邦股份,2020,0.2458279730597245
+新和成,2016,0.4103791136868364
+新和成,2017,0.29913248040646373
+新和成,2018,0.3527515016110629
+新和成,2019,0.6833588176687633
+新和成,2020,0.5923147899520559
+"
+CN,fundamental,广汽集团与华域汽车在2016至2020年产权比率平均值之比是多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.4902,hard,solvency,负债合计 / 股东权益合计,"corporate,year,负债合计,股东权益合计
+广汽集团,2016,37252780214.0,44839438650.0
+广汽集团,2017,49188448577.0,70413968278.0
+广汽集团,2018,54199052819.0,77920681847.0
+广汽���团,2019,54955307018.0,82454220845.0
+广汽集团,2020,56147058923.0,86659603994.0
+华域汽车,2016,61768061355.84,45843652124.47
+华域汽车,2017,73438348406.83,49934278069.19
+华域汽车,2018,79059086883.78,54627769645.92
+华域汽车,2019,80425897714.82,58701534414.54
+华域汽车,2020,92247819855.97,58188139738.22
+","corporate,year,产权比率
+华域汽车,2016,1.3473634515010642
+华域汽车,2017,1.4707001131581847
+华域汽车,2018,1.447232559487896
+华域汽车,2019,1.370081694063844
+华域汽车,2020,1.5853371541173091
+广汽集团,2016,0.8308038935273334
+广汽集团,2017,0.6985609500490024
+广汽集团,2018,0.6955669731615253
+广汽集团,2019,0.6664947707323157
+广汽集团,2020,0.6479034790752958
+"
+CN,fundamental,2023到2025年，上海莱士的产权比率最小值是中国中铁的几倍？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0178,hard,solvency,负债合计 / 股东权益合计,"corporate,year,负债合计,股东权益合计
+上海莱士,2023,2278642620.25,29649811372.93
+上海莱士,2024,1690505789.91,31940719464.15
+上海莱士,2025,5325281495.67,32456025360.59
+中国中铁,2023,1369537197000.0,459901992000.0
+中国中铁,2024,1746273748000.0,510139882000.0
+中国中铁,2025,1929982461000.0,540598124000.0
+","corporate,year,产权比率
+上海莱士,2023,0.07685184204343301
+上海莱士,2024,0.05292635288968396
+上海莱士,2025,0.16407682199238935
+中国中铁,2023,2.977889247759553
+中国中铁,2024,3.4231272825675685
+中国中铁,2025,3.570087233599057
+"
+CN,fundamental,在2021-2025年间，产权比率的最小值，卓胜微相对中国化学的比值是多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0407,hard,solvency,负债合计 / 股东权益合计,"corporate,year,负债合计,股东权益合计
+卓胜微,2021,813437044.33,7634409023.52
+卓胜微,2022,818566120.24,8685194207.91
+卓胜微,2023,1154421180.14,9803279714.76
+卓胜微,2024,4032035044.03,10200806970.46
+卓胜微,2025,5595036114.57,9873725872.21
+中国化学,2021,125394885834.23,52501157219.48
+中国化学,2022,136240379027.47,58325267140.15
+中国化学,2023,155043157685.52,64072162061.48
+中国化学,2024,164523564104.88,68897813204.52
+中国化学,2025,172811880918.5,74541332887.11
+","corporate,year,产权比率
+中国化学,2021,2.388421369647516
+中国化学,2022,2.3358723535735804
+中国化学,2023,2.4198209128131087
+中国化学,2024,2.3879359366094732
+中国化学,2025,2.3183363407281297
+卓胜微,2021,0.10654879006665381
+卓胜微,2022,0.09424845324638736
+卓胜微,2023,0.11775866992776735
+卓胜微,2024,0.3952662819428077
+卓胜微,2025,0.5666590491758998
+"
+CN,fundamental,分别统计蓝思科技和龙佰集团在2021-2023年的产权比率的最小值，计算两者之比。按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.5635,hard,solvency,负债合计 / 股东权益合计,"corporate,year,负债合计,股东权益合计
+蓝思科技,2021,33811752947.76,42799425750.86
+蓝思科技,2022,33964527565.03,44381245145.29
+蓝思科技,2023,30948112466.42,46521631642.04
+龙佰集团,2021,24542202473.04,20788973993.05
+龙佰集团,2022,35921817932.03,23267139512.83
+龙佰集团,2023,38792543835.28,25024696859.38
+","corporate,year,产权比率
+蓝思科技,2021,0.7900048272745948
+蓝思科技,2022,0.7652901006684467
+蓝思科技,2023,0.6652413377189731
+龙佰集团,2021,1.1805393802139899
+龙佰集团,2022,1.543886299913315
+龙佰集团,2023,1.5501703798157858
+"
+CN,fundamental,"2017-2019年的净债务权益比的最小值, 东方财富与四川路桥之比是多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",-0.5867,hard,solvency,净债务权益比 = 净债务 / 股东权益合计；净债务 = 有息负债（短期借款 + 一年内到期非流动负债 + 长期借款 + 应付债券 + 租赁负债 + 应付利息 + 应付短期债券 + 交易性金融负债 + 卖出回购金融资产款）- 现金类资产（货币资金 + 交易性金融资产）,"corporate,year,短期借款,一年内到期的非流动负债,长期借款,应付债券,租赁负债,应付利息,应付短期债券,交易性金融负债,卖出回购金融资产款,货币资金,交易性金融资产,股东权益合计
+东方财富,2017,297985533.82,0.0,0.0,5407605746.32,0.0,78593355.18,3136802000.0,0.0,3658113625.82,12080276919.84,2668824820.53,14680446615.38
+东方财富,2018,213057069.31,606399591.47,0.0,4814884053.09,0.0,54151525.51,1917025000.0,0.0,85985126.5,11334325902.76,5562782650.55,15695239474.55
+东方财富,2019,402516964.44,204658630.14,0.0,1223232120.83,0.0,0.0,4186757400.25,0.0,3198980741.66,25011288900.23,5005901075.92,21212489255.4
+四川路桥,2017,4546500000.0,4623271409.87,24150040509.09,498181700.69,0.0,109224191.34,0.0,0.0,0.0,9567251447.17,17010864.91,14401441797.1
+四川路桥,2018,3616700000.0,2968708828.81,29913848353.27,0.0,0.0,105019155.65,0.0,0.0,0.0,10713931730.69,13166752.65,15482923628.94
+四川路桥,2019,3869488371.6,4651247102.92,31342009178.95,1997988318.3,0.0,107410275.82,0.0,0.0,0.0,10752798822.25,17930978.19,17245084635.55
+","corporate,year,净债务权益比
+东方财富,2017,-0.1478157671958423
+东方财富,2018,-0.586522187339479
+东方财富,2019,-0.980603637243316
+四川路桥,2017,1.6903137784309838
+四川路桥,2018,1.6713366593129424
+四川路桥,2019,1.8090611966518204
+"
+CN,fundamental,晶科能源与中国中车在2018至2022年净债务权益比最大值之比是多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.7416,hard,solvency,净债务权益比 = 净债务 / 股东权益合计；净债务 = 有息负债（短期借款 + 一年内到期非流动负债 + 长期借款 + 应付债券 + 租赁负债 + 应付利息 + 应付短期债券 + 交易性金融负债 + 卖出回购金融资产款）- 现金类资产（货币资金 + 交易性金融资产）,"corporate,year,短期借款,一年内到期的非流动负债,长期借款,应付债券,租赁负债,应付利息,应付短期债券,交易性金融负债,卖出回购金融资产款,货币资金,交易性金融资产,股东权益合计
+晶科能源,2018,6653729028.45,490256111.86,178947211.65,300000000.0,0.0,27050852.83,0.0,5265715.18,0.0,8105858811.31,854194.4,7574277249.61
+晶科能源,2019,8107306829.25,815244464.31,383503014.06,0.0,0.0,0.0,0.0,0.0,0.0,13541536116.26,17742547.48,9054274776.04
+晶科能源,2020,7277035754.1,825140238.89,396161906.84,0.0,0.0,0.0,0.0,149213568.38,0.0,16028730610.3,313644199.38,12514143569.17
+晶科能源,2021,11689973022.26,1700705589.53,399334357.1,0.0,615070220.65,0.0,0.0,2659203.36,0.0,18408783744.55,223532112.99,13557160080.55
+晶科能源,2022,10131483405.76,1435452949.39,3178758829.7,0.0,530667781.02,0.0,0.0,63137093.65,0.0,19985441372.61,119624995.6,26693731719.34
+中国中车,2018,8634101000.0,11096595000.0,880011000.0,3500000000.0,0.0,223538000.0,0.0,0.0,0.0,38171008000.0,7246736000.0,149684627000.0
+中国中车,2019,10530416000.0,3778474000.0,2589644000.0,4534817000.0,960501000.0,43113000.0,0.0,0.0,0.0,44904764000.0,9180616000.0,158828482000.0
+中国中车,2020,10128677000.0,7569139000.0,4202602000.0,2500000000.0,1292313000.0,3751000.0,0.0,0.0,0.0,33492359000.0,5799390000.0,169141564000.0
+中国中车,2021,15815647000.0,4612838000.0,7454276000.0,2500000000.0,1225507000.0,11276000.0,0.0,0.0,0.0,48585115000.0,10694693000.0,182291506000.0
+中国中车,2022,13627730000.0,6473081000.0,6096122000.0,0.0,1150855000.0,13593000.0,0.0,40547000.0,0.0,54861839000.0,10431092000.0,190985916000.0
+","corporate,year,净债务权益比
+中国中车,2018,-0.14085280113635182
+中国中车,2019,-0.1992615845815362
+中国中车,2020,-0.08037803765371355
+中国中车,2021,-0.1517364391075907
+中国中车,2022,-0.19839684408980188
+晶科能源,2018,-0.059604906298254004
+晶科能源,2019,-0.4697476563639481
+晶科能源,2020,-0.614890128032977
+晶科能源,2021,-0.311611977695893
+晶科能源,2022,-0.1785275419261549
+"
+CN,fundamental,2021到2023年，国泰海通的净债务权益比最大值是中国核电的几倍？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-0.2902,hard,solvency,净债务权益比 = 净债务 / 股东权益合计；净债务 = 有息负债（短期借款 + 一年内到期非流动负债 + 长期借款 + 应付债券 + 租赁负债 + 应付利息 + 应付短期债券 + 交易性金融负债 + 卖出回购金融资产款）- 现金类资产（货币资金 + 交易性金融资产）,"corporate,year,短期借款,一年内到期的非流动负债,长期借款,应付债券,租赁负债,应付利息,应付短期债券,交易性金融负债,卖出回购金融资产款,货币资金,交易性金融资产,股东权益合计
+国泰海通,2021,4340789218.0,0.0,0.0,126767098217.0,1940107787.0,0.0,0.0,47489532263.0,164884092260.0,170178885399.0,284385061671.0,150636591887.0
+国泰海通,2022,9847547055.0,0.0,559151483.0,127883594724.0,1885175094.0,0.0,0.0,75048865910.0,173236681965.0,179065406430.0,331401244039.0,163845459790.0
+国泰海通,2023,11661690197.0,0.0,549551595.0,134025542628.0,1829350352.0,0.0,0.0,74824260976.0,216829590019.0,161875853168.0,372574239398.0,173378010445.0
+中国核电,2021,7530696658.38,32140053008.07,176610972199.88,13781274969.58,2893341029.98,0.0,0.0,0.0,0.0,13064063055.43,0.0,125555427281.95
+中国核电,2022,15364517114.47,23419187470.4,208511267907.01,8999285988.37,2789770519.36,0.0,0.0,0.0,0.0,16161671502.14,1907551.66,147961121740.26
+中国核电,2023,19864354933.72,39508372214.1,244853364036.77,8401726699.89,3623734821.09,0.0,0.0,0.0,0.0,9773819118.86,0.0,162798002691.35
+","corporate,year,净债务权益比
+中国核电,2021,1.7513561904151316
+中国核电,2022,1.6417856737545378
+中国核电,2023,1.8825644573033462
+国泰海通,2021,-0.7245406043630693
+国泰海通,2022,-0.744638480641295
+国泰海通,2023,-0.5463790163231274
+"
+CN,fundamental,在2018-2020年间，净债务权益比的最大值，双汇发展相对川投能源的比值是多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-0.3423,hard,solvency,净债务权益比 = 净债务 / 股东权益合计；净债务 = 有息负债（短期借款 + 一年内到期非流动负债 + 长期借款 + 应付债券 + 租赁负债 + 应付利息 + 应付短期债券 + 交易性金融负债 + 卖出回购金融资产款）- 现金类资产（货币资金 + 交易性金融资产）,"corporate,year,短期借款,一年内到期的非流动负债,长期借款,应付债券,租赁负债,应付利息,应付短期债券,交易性金融负债,卖出回购金融资产款,货币资金,交易性金融资产,股东权益合计
+双汇发展,2018,3130575449.85,1129518.63,17338134.55,0.0,0.0,7650486.02,0.0,0.0,797215000.0,2800713026.56,2170530780.47,13705183233.82
+双汇发展,2019,3277465169.5,67979596.11,16188598.83,0.0,0.0,311406.24,0.0,0.0,627543125.04,3455331419.03,3052713858.41,17115390812.33
+双汇发展,2020,2382649141.34,1170765.56,15098464.11,0.0,0.0,0.0,0.0,0.0,819330088.75,8485885001.2,5735620003.05,24132718966.78
+川投能源,2018,2830000000.0,1905000000.0,1395000000.0,0.0,0.0,79632547.86,0.0,0.0,0.0,728531427.51,0.0,25277641630.8
+川投能源,2019,3204544200.0,590000000.0,805000000.0,3344326724.78,0.0,37343255.32,0.0,0.0,0.0,712015457.85,4069065400.0,27656630310.19
+川投能源,2020,3398376782.32,590781358.93,1603288941.5,3994663141.14,0.0,26841795.48,0.0,0.0,0.0,604033064.44,3171770000.0,29757696858.97
+","corporate,year,净债务权益比
+双汇发展,2018,-0.074229961075569
+双汇发展,2019,-0.14715161396756543
+双汇发展,2020,-0.45594765180154717
+川投能源,2018,0.21683593748205737
+川投能源,2019,0.11570944422216617
+川投能源,2020,0.19618954324988958
+"
+CN,fundamental,分别统计天合光能和立讯精密在2018-2020年的净债务权益比的最小值，计算两者之比。按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.4619,hard,solvency,净债务权益比 = 净债务 / 股东权益合计；净债务 = 有息负债（短期借款 + 一年内到期非流动负债 + 长期借款 + 应付债券 + 租赁负债 + 应付利息 + 应付短期债券 + 交易性金融负债 + 卖出回购金融资产款）- 现金类资产（货币资金 + 交易性金融资产）,"corporate,year,短期借款,一年内到期的非流动负债,长期借款,应付债券,租赁负债,应付利息,应付短期债券,交易性金融负债,卖出回购金融资产款,货币资金,交易性金融资产,股东权益合计
+天合光能,2018,7146626075.11,351509124.97,1432618990.31,0.0,0.0,24820898.48,0.0,1615747.45,0.0,4364830057.78,4172819.35,12042193831.44
+天合光能,2019,6040774904.22,815331645.47,2604201896.48,0.0,0.0,42722756.37,0.0,41702.93,0.0,5827449548.21,1733947291.38,12698422966.36
+天合光能,2020,5067682762.45,610446640.22,4108253652.66,0.0,0.0,0.0,0.0,23559939.0,0.0,9429357046.49,914709238.85,15700778505.72
+立讯精密,2018,5663895975.28,69582086.46,1499295098.9,0.0,0.0,12541526.3,0.0,3913592.75,0.0,3819612854.41,20021982.99,16674836963.52
+立讯精密,2019,4166302223.17,366537115.41,1562908824.3,0.0,0.0,6097484.73,0.0,1001553.0,0.0,6180466259.01,1524366132.75,21749703294.72
+立讯精密,2020,7577068798.49,278527714.63,1495199238.41,2475423249.98,0.0,0.0,0.0,0.0,0.0,10528245765.93,3160064470.41,30906599862.07
+","corporate,year,净债务权益比
+天合光能,2018,0.3810093097165623
+天合光能,2019,0.15290686654742783
+天合光能,2020,-0.034018904910696736
+立讯精密,2018,0.20447536906953043
+立讯精密,2019,-0.07365549632757067
+立讯精密,2020,-0.06024898381381783
+"
+CN,fundamental,"2020-2024年的利息保障倍数的最小值, 牧原股份与紫光股份之比是多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",-0.0799,hard,solvency,利息保障倍数 = EBIT / 利息支出 = (利润总额 + 利息支出) / 利息支出,"corporate,year,利润总额,财务费用——利息费用
+牧原股份,2020,30372513238.14,922578362.49
+牧原股份,2021,7610601758.08,2218548918.12
+牧原股份,2022,14930032188.22,2889858125.59
+牧原股份,2023,-4170088485.57,3239357630.51
+牧原股份,2024,18896478910.64,3177468228.97
+紫光股份,2020,3615354497.33,305170255.2
+紫光股份,2021,4176294390.64,243014280.74
+紫光股份,2022,4220113377.8,314933722.15
+紫光股份,2023,3760213537.13,317701729.59
+紫光股份,2024,2226953396.66,857978325.77
+","corporate,year,利息保障倍数
+牧原股份,2020,33.921337062540545
+牧原股份,2021,4.430441265423721
+牧原股份,2022,6.166354727248711
+牧原股份,2023,-0.28731957419393267
+牧原股份,2024,6.947023714778554
+紫光股份,2020,12.847008139638636
+紫光股份,2021,18.185386710290498
+紫光股份,2022,14.400004766050424
+紫光股份,2023,12.83567222621868
+紫光股份,2024,3.595582347213027
+"
+CN,fundamental,赣锋锂业与中国中免在2020至2022年利息保障倍数最大值之比是多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0992,hard,solvency,利息保障倍数 = EBIT / 利息支出 = (利润总额 + 利息支出) / 利息支出,"corporate,year,利润总额,财务费用——利息费用
+赣锋锂业,2020,1127270529.57,265882862.48
+赣锋锂业,2021,5773542946.66,264856703.71
+赣锋锂业,2022,22778733863.79,407328584.58
+中国中免,2020,9671588854.43,16888794.1
+中国中免,2021,14801404432.96,221855288.41
+中国中免,2022,7616924161.2,194176531.19
+","corporate,year,利息保障倍数
+中国中免,2020,573.6630804522628
+中国中免,2021,67.71648234774662
+中国中免,2022,40.226801068698194
+赣锋锂业,2020,5.239726167589287
+赣锋锂业,2021,22.798741983067323
+赣锋锂业,2022,56.922257180348275
+"
+CN,fundamental,2020到2024年，藏格矿业的利息保障倍数最大值是上港集团的几倍？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1796.9612,hard,solvency,利息保障倍数 = EBIT / 利息支出 = (利润总额 + 利息支出) / 利息支出,"corporate,year,利润总额,财务费用——利息费用
+藏格矿业,2020,307438778.23,10285678.48
+藏格矿业,2021,1694922647.69,48022.18
+藏格矿业,2022,6593009612.4,550596.78
+藏格矿业,2023,3866309898.9,720163.87
+藏格矿业,2024,2708528965.76,4077771.03
+上港集团,2020,10574262783.3,1108479142.57
+上港集团,2021,17961384026.61,1025159017.33
+上港集团,2022,20124289106.22,1079524113.4
+上港集团,2023,16246855824.88,1164023406.26
+上港集团,2024,18716152788.92,1239591463.14
+","corporate,year,利息保障倍数
+上港集团,2020,10.53943324434924
+上港集团,2021,18.520583366071303
+上港集团,2022,19.64181527435995
+上港集团,2023,14.957499254315724
+上港集团,2024,16.098646082565175
+藏格矿业,2020,30.889985267165383
+藏格矿业,2021,35295.57945661776
+藏格矿业,2022,11975.297438499367
+藏格矿业,2023,5369.6529690804955
+藏格矿业,2024,665.2180117111677
+"
+CN,fundamental,在2021-2025年间，利息保障倍数的最大值，华利集团相对中航光电的比值是多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.8774,hard,solvency,利息保障倍数 = EBIT / 利息支出 = (利润总额 + 利息支出) / 利息支出,"corporate,year,利润总额,财务费用——利息费用
+华利集团,2021,3684482571.04,37274797.61
+华利集团,2022,4090028425.32,67757002.19
+华利集团,2023,4036124486.47,71098773.3
+华利集团,2024,4947870288.03,42252229.27
+华利集团,2025,4156859526.17,72629173.2
+中航光电,2021,2267497076.91,42353578.97
+中航光电,2022,3054022995.3,37911325.55
+中航光电,2023,3733766834.38,37520802.14
+中航光电,2024,3764188357.46,28174285.33
+中航光电,2025,2690774891.98,28417890.43
+","corporate,year,利息保障倍数
+中航光电,2021,54.53731920780814
+中航光电,2022,81.5570090466014
+中航光电,2023,100.51191396304193
+中航光电,2024,134.60368553703435
+中航光电,2025,95.68594787526598
+华利集团,2021,99.84648092768008
+华利集团,2022,61.36318451414063
+华利集团,2023,57.76784983954147
+华利集团,2024,118.1031771226115
+华利集团,2025,58.23401965107321
+"
+CN,fundamental,分别统计中国中铁和华友钴业在2021-2025年的利息保障倍数的最小值，计算两者之比。按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.1059,hard,solvency,利息保障倍数 = EBIT / 利息支出 = (利润总额 + 利息支出) / 利息支出,"corporate,year,利润总额,财务费用——利息费用
+中国中铁,2021,37586179000.0,7389996000.0
+中国中铁,2022,42583495000.0,9370093000.0
+中国中铁,2023,46069901000.0,11683871000.0
+中国中铁,2024,38871107000.0,12542713000.0
+中国中铁,2025,33539825000.0,13080898000.0
+华友钴业,2021,4828278862.95,502298446.61
+华友钴业,2022,6031195156.03,1344158702.41
+华友钴业,2023,4774015096.8,1960858477.63
+华友钴业,2024,5584628546.54,2512552872.16
+华友钴业,2025,8329775716.16,2271478731.52
+","corporate,year,利息保障倍数
+中国中铁,2021,6.0860892211579
+中国中铁,2022,5.544618180417206
+中国中铁,2023,4.943034033840326
+中国中铁,2024,4.099098815383881
+中国中铁,2025,3.5640307721992786
+华友钴业,2021,10.612370684273335
+华友钴业,2022,5.486966565195322
+华友钴业,2023,3.4346556119491773
+华友钴业,2024,3.2226909564450232
+华友钴业,2025,4.667115875034403
+"
+CN,fundamental,"2020-2022年的净债务/EBITDA的平均值, 中国铁建与盛美上海之比是多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",-0.2966,hard,solvency,净债务 / EBITDA；净债务 = 有息负债（短期借款 + 一年内到期非流动负债 + 长期借款 + 应付债券 + 租赁负债 + 应付利息 + 应付短期债券 + 交易性金融负债 + 卖出回购金融资产款）- 现金类资产（货币资金 + 交易性金融资产）；EBITDA = 利润总额 + 利息支出 + 折旧与摊销,"corporate,year,短期借款,一年内到期的非流动负债,长期借款,应付债券,租赁负债,应付利息,应付短期债券,交易性金融负债,卖出回购金融资产款,货币资金,交易性金融资产,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+中国铁建,2020,49879073000.0,28573343000.0,111018145000.0,26111854000.0,2677405000.0,0.0,0.0,0.0,0.0,187997046000.0,587022000.0,31490552000.0,5621495000.0,16548139000.0,990169000.0,207772000.0
+中国铁建,2021,46057400000.0,38703490000.0,115044574000.0,29534875000.0,2889378000.0,0.0,0.0,0.0,0.0,126821154000.0,460063000.0,35151419000.0,6016226000.0,16990039000.0,1362954000.0,198056000.0
+中国铁建,2022,51367562000.0,45527795000.0,133415428000.0,28096696000.0,2451292000.0,0.0,0.0,0.0,0.0,158424810000.0,961298000.0,37824462000.0,6143183000.0,19002065000.0,1518926000.0,273809000.0
+盛美上海,2020,171753542.58,10458460.32,117280857.74,0.0,0.0,0.0,0.0,0.0,0.0,271267852.84,184208918.79,223024074.6,6295231.98,3079241.84,1583692.72,3543107.12
+盛美上海,2021,61718178.74,29770989.5,146411940.84,0.0,12511915.14,0.0,0.0,0.0,0.0,3402530435.4,188126051.82,268743818.6,6102462.66,21793174.76,2861485.0,6632276.37
+盛美上海,2022,390372777.79,25890120.12,130133420.86,0.0,7727998.97,0.0,0.0,0.0,0.0,1562384721.34,140730269.72,716696265.53,12006970.59,34737467.0,4377425.73,16787999.65
+","corporate,year,净债务/EBITDA
+中国铁建,2020,0.5409545243861498
+中国铁建,2021,1.7573810304692865
+中国铁建,2022,1.5668442567293437
+盛美上海,2020,-0.6567042723341547
+盛美上海,2021,-10.911078162239022
+盛美上海,2022,-1.4644171535043011
+"
+CN,fundamental,龙佰集团与潞安环能在2017至2021年净债务/EBITDA最大值之比是多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.7093,hard,solvency,净债务 / EBITDA；净债务 = 有息负债（短期借款 + 一年内到期非流动负债 + 长期借款 + 应付债券 + 租赁负债 + 应付利息 + 应付短期债券 + 交易性金融负债 + 卖出回购金融资产款）- 现金类资产（货币资金 + 交易性金融资产）；EBITDA = 利润总额 + 利息支出 + 折旧与摊销,"corporate,year,短期借款,一年内到期的非流动负债,长期借款,应付债券,租赁负债,应付利息,应付短期债券,交易性金融负债,卖出回购金融资产款,货币资金,交易性金融资产,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+龙佰集团,2017,3440802914.0,379000000.0,665419851.07,0.0,0.0,3260956.88,0.0,0.0,0.0,2353500074.73,700000000.0,3055461876.97,148175464.66,755521272.8,121134172.6,6087012.62
+龙佰集团,2018,3633223440.0,578127672.5,407807282.1,0.0,0.0,2778399.62,0.0,0.0,0.0,1684382500.87,658835379.0,2715871805.03,205581833.78,774102122.96,121465009.81,8165192.96
+龙佰集团,2019,2867356101.03,141832464.0,2752332976.56,0.0,0.0,264896.5,0.0,0.0,0.0,2640651165.38,0.0,3022048718.95,182886637.41,822955124.36,133158710.22,11890262.67
+龙佰集团,2020,4096580112.52,1486379981.0,3469282193.84,0.0,0.0,652626.49,0.0,0.0,0.0,5127451501.02,0.0,2820079683.92,254545680.14,961964911.58,143118927.08,23445974.98
+龙佰集团,2021,4624085750.29,1418674519.98,3798977644.1,0.0,18156917.33,264896.5,0.0,0.0,0.0,6287035428.91,0.0,5518909889.42,299600490.57,1321335040.69,175402350.25,16015739.31
+潞安环能,2017,7025350000.0,3984664609.85,4031801104.89,5961560726.2,0.0,87252838.36,0.0,0.0,0.0,13451519220.97,781552.24,3402097104.2,1067484702.9,1122490632.45,205469630.92,3371608.08
+潞安环能,2018,7175350000.0,5329589178.48,1740041500.0,5968660932.44,0.0,88736357.91,0.0,0.0,0.0,17199577272.32,0.0,2612234646.24,1281679924.68,1263764810.45,203731070.11,16812427.88
+潞安环能,2019,6397738360.0,2836500495.1,1651701500.0,5976284884.05,0.0,36936899.59,0.0,0.0,0.0,14978400892.09,6724820.0,3037720676.64,1455263270.31,1699050430.75,227412875.1,23525788.49
+潞安环能,2020,9676169501.0,767059166.78,3039701500.0,5630259148.7,0.0,38668562.03,0.0,14259063.0,0.0,16605819636.08,0.0,2679303181.8,1263033945.11,1760905629.21,270752318.25,17268998.99
+潞安环能,2021,9659800000.0,7637832980.45,2655701500.0,0.0,1019401616.1,40531952.73,0.0,0.0,0.0,16440016438.49,0.0,9255774006.39,1435375037.25,2565525028.49,431379186.32,27679239.26
+","corporate,year,净债务/EBITDA
+潞安环能,2017,1.3167457627122081
+潞安环能,2018,0.5769193218856016
+潞安环能,2019,0.29707348057858346
+潞安环能,2020,0.4273384170820135
+潞安环能,2021,0.33343108809927263
+龙佰集团,2017,0.35116257361660486
+龙佰集团,2018,0.595714544462423
+龙佰集团,2019,0.7479464553481392
+龙佰集团,2020,0.9339277868341834
+龙佰集团,2021,0.4873817854588382
+"
+CN,fundamental,2016到2018年，宁德时代的净债务/EBITDA最小值是中国神华的几倍？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,7.1179,hard,solvency,净债务 / EBITDA；净债务 = 有息负债（短期借款 + 一年内到期非流动负债 + 长期借款 + 应付债券 + 租赁负债 + 应付利息 + 应付短期债券 + 交易性金融负债 + 卖出回购金融资产款）- 现金类资产（货币资金 + 交易性金融资产）；EBITDA = 利润总额 + 利息支出 + 折旧与摊销,"corporate,year,短期借款,一年内到期的非流动负债,长期借款,应付债券,租赁负债,应付利息,应付短期债券,交易性金融负债,卖出回购金融资产款,货币资金,交易性金融资产,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+宁德时代,2016,1226587998.8,240511234.77,302000000.0,0.0,0.0,5776292.16,0.0,0.0,0.0,2456530834.16,0.0,3400213705.3,0.0,731417250.67,47998770.85,5071074.74
+宁德时代,2017,2245096000.7,364944599.97,2129095275.13,0.0,0.0,15205262.28,0.0,0.0,0.0,14080936626.3,0.0,4848100224.28,98824909.51,1279538608.41,75101189.69,26541967.12
+宁德时代,2018,1180092100.11,929024032.37,3490767815.96,0.0,0.0,19842845.23,0.0,314247518.1,0.0,27731189739.92,0.0,4204813251.93,204435332.83,2125110234.63,95733856.19,83377065.66
+中国神华,2016,4384000000.0,27819000000.0,58462000000.0,15316000000.0,0.0,705000000.0,0.0,0.0,0.0,50757000000.0,54000000.0,38896000000.0,0.0,21346000000.0,1534000000.0,1065000000.0
+中国神华,2017,9493000000.0,14899000000.0,64321000000.0,6485000000.0,0.0,0.0,0.0,12000000.0,0.0,81090000000.0,108000000.0,70333000000.0,4136000000.0,22066000000.0,1687000000.0,872000000.0
+中国神华,2018,2000000000.0,4229000000.0,46765000000.0,6823000000.0,0.0,0.0,0.0,0.0,0.0,72205000000.0,32452000000.0,70069000000.0,4649000000.0,20749000000.0,1911000000.0,924000000.0
+","corporate,year,净债务/EBITDA
+中国神华,2016,0.8891488041246957
+中国神华,2017,0.14140109391083214
+中国神华,2018,-0.45614534800919615
+宁德时代,2016,-0.16289224505032426
+宁德时代,2017,-1.4738365892142402
+宁德时代,2018,-3.2467883625441023
+"
+CN,fundamental,在2022-2024年间，净债务/EBITDA的最大值，海光信息相对山西焦煤的比值是多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-0.8323,hard,solvency,净债务 / EBITDA；净债务 = 有息负债（短期借款 + 一年内到期非流动负债 + 长期借款 + 应付债券 + 租赁负债 + 应付利息 + 应付短期债券 + 交易性金融负债 + 卖出回购金融资产款）- 现金类资产（货币资金 + 交易性金融资产）；EBITDA = 利润总额 + 利息支出 + 折旧与摊销,"corporate,year,短期借款,一年内到期的非流动负债,长期借款,应付债券,租赁负债,应付利息,应付短期债券,交易性金融负债,卖出回购金融资产款,货币资金,交易性金融资产,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+海光信息,2022,200000000.0,386663051.24,479800000.0,0.0,46566154.67,0.0,0.0,0.0,0.0,11207910325.69,0.0,1136511597.94,29490082.12,53486903.45,640696064.79,4442738.0
+海光信息,2023,350000000.0,44869674.47,858900000.0,0.0,30967404.31,0.0,0.0,0.0,0.0,10321487491.79,0.0,1680172494.53,36235010.67,80302601.0,668419735.99,6731367.82
+海光信息,2024,1800000000.0,122074798.41,898900000.0,0.0,81144259.11,0.0,0.0,0.0,0.0,8797388047.45,0.0,2784425909.37,43831757.3,128639463.85,1198297138.62,76423188.51
+山西焦煤,2022,1726470833.34,3185855521.22,6791263001.43,1998841875.81,162855500.21,0.0,0.0,0.0,0.0,17591369484.11,3075.52,18003984927.11,1204741571.68,3502158837.78,484655583.71,22667313.11
+山西焦煤,2023,1426402361.11,2001570901.65,4410101001.43,1999406698.87,169746129.44,0.0,0.0,0.0,0.0,19986725589.86,0.0,11646835053.18,946371516.85,3549783473.63,496322310.18,22832792.41
+山西焦煤,2024,1626761266.66,4175730597.18,23790179756.53,0.0,99040290.63,0.0,0.0,0.0,0.0,12219624578.66,0.0,5661991701.5,765671749.36,3421160549.64,492287563.7,97397361.46
+","corporate,year,净债务/EBITDA
+山西焦煤,2022,-0.16048119605808062
+山西焦煤,2023,-0.5989323949447166
+山西焦煤,2024,1.6738106425708004
+海光信息,2022,-5.413886545885922
+海光信息,2023,-3.6558486279144455
+海光信息,2024,-1.3931479035923766
+"
+CN,fundamental,分别统计中航机载和恒立液压在2019-2021年的净债务/EBITDA的最小值，计算两者之比。按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0552,hard,solvency,净债务 / EBITDA；净债务 = 有息负债（短期借款 + 一年内到期非流动负债 + 长期借款 + 应付债券 + 租赁负债 + 应付利息 + 应付短期债券 + 交易性金融负债 + 卖出回购金融资产款）- 现金类资产（货币资金 + 交易性金融资产）；EBITDA = 利润总额 + 利息支出 + 折旧与摊销,"corporate,year,短期借款,一年内到期的非流动负债,长期借款,应付债券,租赁负债,应付利息,应付短期债券,交易性金融负债,卖出回购金融资产款,货币资金,交易性金融资产,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+中航机载,2019,4196831241.03,79067834.8,338323160.64,2128958644.02,2838411.11,3078751.49,0.0,0.0,0.0,3349690773.43,0.0,631113031.16,318643189.89,337474845.34,70669462.31,4337180.12
+中航机载,2020,3015262056.78,158029496.86,680240000.0,0.0,3870009.65,0.0,0.0,0.0,0.0,3946787821.8,0.0,719480236.4,271015920.7,302901404.05,76187525.46,2026937.99
+中航机载,2021,2372098230.89,474924578.34,1549678635.77,0.0,9699787.68,0.0,0.0,0.0,0.0,3940252497.35,0.0,881088909.8,132269986.46,368870505.62,87598017.42,2778553.24
+恒立液压,2019,551349220.46,385717701.11,199510353.73,0.0,0.0,1150000.0,0.0,0.0,0.0,2343385152.28,372000000.0,1492824438.85,55925448.16,251329223.47,10503165.98,2103580.57
+恒立液压,2020,323966935.8,230477442.0,370170119.61,0.0,0.0,0.0,0.0,0.0,0.0,2777015827.5,713000000.0,2609112777.25,44104910.61,294836056.24,12846732.11,2896029.83
+恒立液压,2021,182343781.19,414360383.25,44497703.43,0.0,6434543.38,0.0,0.0,0.0,0.0,3642807377.77,1143817485.29,3068332803.56,29405587.24,389099751.93,13628666.72,3868656.75
+","corporate,year,净债务/EBITDA
+中航机载,2019,2.495458206486327
+中航机载,2020,-0.06516876267256935
+中航机载,2021,0.31654681837665744
+恒立液压,2019,-0.8703426856128939
+恒立液压,2020,-0.8655794434138443
+恒立液压,2021,-1.1811050887483099
+"
+CN,fundamental,"2020-2022年的营业收入增长率的最小值, 海尔智家与华勤技术之比是多少？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",0.4207,hard,growth,(本期营业收入 - 上期营业收入) / 上期营业收入 * 100%,"corporate,year,营业收入
+海尔智家,2019,200761983256.57
+海尔智家,2020,209723430081.03
+海尔智家,2021,227105817641.69
+海尔智家,2022,243578924958.47
+华勤技术,2019,35300097708.54
+华勤技术,2020,59865743277.45
+华勤技术,2021,83758524337.08
+华勤技术,2022,92645701601.4
+","corporate,year,营业收入增长率
+华勤技术,2020,69.59087131072427
+华勤技术,2021,39.91060621914945
+华勤技术,2022,10.610474975125161
+海尔智家,2020,4.463717024058003
+海尔智家,2021,8.288243022700916
+海尔智家,2022,7.253494202764102
+"
+CN,fundamental,宝丰能源与深南电路在2021至2025年营业收入增长率最小值之比是多少？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-0.7453,hard,growth,(本期营业收入 - 上期营业收入) / 上期营业收入 * 100%,"corporate,year,营业收入
+宝丰能源,2020,15927728889.05
+宝丰能源,2021,23299935290.2
+宝丰能源,2022,28429848345.48
+宝丰能源,2023,29135511197.96
+宝丰能源,2024,32982889902.49
+宝丰能源,2025,48037593136.78
+深南电路,2020,11600456950.24
+深南电路,2021,13942521948.74
+深南电路,2022,13992454035.04
+深南电路,2023,13526425962.45
+深南电路,2024,17907445251.3
+深南电路,2025,23646977088.98
+","corporate,year,营业收入增长率
+宝丰能源,2021,46.28535839920184
+宝丰能源,2022,22.016855374862995
+宝丰能源,2023,2.4821196508147794
+宝丰能源,2024,13.205118243469801
+宝丰能源,2025,45.64397867742166
+深南电路,2021,20.18942019737891
+深南电路,2022,0.3581280810141637
+深南电路,2023,-3.330567114410163
+深南电路,2024,32.3885947478803
+深南电路,2025,32.05109247654037
+"
+CN,fundamental,2020到2024年，中国中冶的营业收入增长率最大值是百利天恒的几倍？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0268,hard,growth,(本期营业收入 - 上期营业收入) / 上期营业收入 * 100%,"corporate,year,营业收入
+中国中冶,2019,338637609000.0
+中国中冶,2020,400114623000.0
+中国中冶,2021,500571647000.0
+中国中冶,2022,592669072000.0
+中国中冶,2023,633870422000.0
+中国中冶,2024,552024638000.0
+百利天恒,2019,1206623638.95
+百利天恒,2020,1012709388.05
+百利天恒,2021,796731823.79
+百利天恒,2022,703281558.8
+百利天恒,2023,561870733.49
+百利天恒,2024,5822717804.49
+","corporate,year,营业收入增长率
+中国中冶,2020,18.154219249758523
+中国中冶,2021,25.107061383257665
+中国中冶,2022,18.39845016232012
+中国中冶,2023,6.951830616192504
+中国中冶,2024,-12.912068643581541
+百利天恒,2020,-16.07081484569154
+百利天恒,2021,-21.326707030520453
+百利天恒,2022,-11.729199487157842
+百利天恒,2023,-20.107284705614546
+百利天恒,2024,936.3091468250732
+"
+CN,fundamental,在2017-2019年间，营业收入增长率的平均值，亿联网络相对晶科能源的比值是多少？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.9297,hard,growth,(本期营业收入 - 上期营业收入) / 上期营业收入 * 100%,"corporate,year,营业收入
+亿联网络,2016,923740730.53
+亿联网络,2017,1387763173.2
+亿联网络,2018,1815359403.28
+亿联网络,2019,2489346726.31
+晶科能源,2016,22967508711.7
+晶科能源,2017,28244146161.44
+晶科能源,2018,24508770859.73
+晶科能源,2019,29489576245.11
+","corporate,year,营业收入增长率
+亿联网络,2017,50.23297418137721
+亿联网络,2018,30.811902083697685
+亿联网络,2019,37.12693595616584
+晶科能源,2017,22.974357018756667
+晶科能源,2018,-13.225307928797218
+晶科能源,2019,20.32254254563165
+"
+CN,fundamental,分别统计东鹏饮料和万华化学在2018-2022年的营业收入增长率的最大值，计算两者之比。（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.4147,hard,growth,(本期营业收入 - 上期营业收入) / 上期营业收入 * 100%,"corporate,year,营业收入
+东鹏饮料,2017,2843807600.0
+东鹏饮料,2018,3037535999.62
+东鹏饮料,2019,4208728479.27
+东鹏饮料,2020,4958502618.73
+东鹏饮料,2021,6977822474.41
+东鹏饮料,2022,8505389730.5
+万华化学,2017,53123173258.81
+万华化学,2018,72837108238.47
+万华化学,2019,68050668650.78
+万华化学,2020,73432968475.63
+万华化学,2021,145537817628.55
+万华化学,2022,165565484373.69
+","corporate,year,营业收入增长率
+万华化学,2018,37.10985954023487
+万华化学,2019,-6.571430007928257
+万华化学,2020,7.909253401271781
+万华化学,2021,98.19138549035944
+万华化学,2022,13.761142685439864
+东鹏饮料,2018,6.812289256840015
+东鹏饮料,2019,38.557320136996495
+东鹏饮料,2020,17.814742460888024
+东鹏饮料,2021,40.72438820647836
+东鹏饮料,2022,21.891747198959248
+"
+CN,fundamental,"2019-2023年的EBITDA增长率的最大值, 中国联通与中国神华之比是多少？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",0.5256,hard,growth,EBITDA增长率 = (本期EBITDA - 上期EBITDA) / 上期EBITDA * 100%；EBITDA = 利润总额 + 利息支出 + 折旧与摊销,"corporate,year,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+中国联通,2018,12075362887.0,1539367075.0,66305636396.0,5132967570.0,2136416482.0
+中国联通,2019,14035186382.0,1877622806.0,75476350533.0,4647512760.0,1116148078.0
+中国联通,2020,15959508916.0,1455970442.0,74509675347.0,5326560929.0,1437427468.0
+中国联通,2021,17807323798.0,1229336920.0,77902355605.0,4433659453.0,1452101458.0
+中国联通,2022,20367453785.0,962960134.0,77430111177.0,5421008487.0,1010603113.0
+中国联通,2023,22709522469.0,1846122933.0,72606749891.0,5974555193.0,1563285714.0
+中国神华,2018,70069000000.0,4649000000.0,20749000000.0,1911000000.0,924000000.0
+中国神华,2019,66724000000.0,2849000000.0,17971000000.0,1580000000.0,1009000000.0
+中国神华,2020,62662000000.0,2261000000.0,17341000000.0,1548000000.0,942000000.0
+中国神华,2021,77150000000.0,2573000000.0,17795000000.0,1824000000.0,1162000000.0
+中国神华,2022,96247000000.0,3234000000.0,19530000000.0,2057000000.0,1287000000.0
+中国神华,2023,87176000000.0,2858000000.0,20272000000.0,1806000000.0,2781000000.0
+","corporate,year,EBITDA增长率
+中国神华,2019,-8.310105592968608
+中国神华,2020,-5.967847514228973
+中国神华,2021,18.583193713571042
+中国神华,2022,21.74142322693624
+中国神华,2023,-6.098647378529688
+中国联通,2019,11.426882290808017
+中国联通,2020,1.5813463100301917
+中国联通,2021,4.19056646152619
+中国联通,2022,2.3023239395039603
+中国联通,2023,-0.4676209757213772
+"
+CN,fundamental,招商轮船与华润三九在2018至2020年EBITDA增长率平均值之比是多少？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.2669,hard,growth,EBITDA增长率 = (本期EBITDA - 上期EBITDA) / 上期EBITDA * 100%；EBITDA = 利润总额 + 利息支出 + 折旧与摊销,"corporate,year,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+招商轮船,2017,1206129618.47,557314104.46,1356341177.61,4896521.4,164170268.7
+招商轮船,2018,1162792550.06,788858860.3,1461672691.39,5097876.78,209801009.0
+招商轮船,2019,1998117396.84,1040956895.73,2095980975.67,6562516.27,327683959.43
+招商轮船,2020,3259401215.34,691823666.9,2204219446.86,7107457.53,363176923.54
+华润三九,2017,1518306647.21,27977571.93,279216439.55,41955106.24,21152742.79
+华润三九,2018,1718880497.33,25836440.62,290570815.67,59631776.31,26052025.66
+华润三九,2019,2554983435.72,4406951.57,300456267.19,36993374.62,32349440.4
+华润三九,2020,2059418523.12,5088327.01,327407494.04,65033495.96,34281008.73
+","corporate,year,EBITDA增长率
+华润三九,2018,12.303399403326706
+华润三九,2019,38.10602324108843
+华润三九,2020,-14.95159753919086
+招商轮船,2018,10.318838573835471
+招商轮船,2019,50.74326365104034
+招商轮船,2020,19.315572913864614
+"
+CN,fundamental,2019到2021年，招商蛇口的EBITDA增长率平均值是保利发展的几倍？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-0.1435,hard,growth,EBITDA增长率 = (本期EBITDA - 上期EBITDA) / 上期EBITDA * 100%；EBITDA = 利润总额 + 利息支出 + 折旧与摊销,"corporate,year,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+招商蛇口,2018,26600951346.54,3605374559.59,859041938.71,20873668.3,245125863.02
+招商蛇口,2019,26123711486.14,5021682731.13,1127402373.44,22237364.56,166143426.38
+招商蛇口,2020,24109433191.38,4405065423.32,1400767095.59,26872445.67,200072407.81
+招商蛇口,2021,22842599612.88,4488220982.41,1948603998.07,53678020.01,186467252.59
+保利发展,2018,35780300096.0,4522064368.78,907391260.07,17108617.67,90112704.58
+保利发展,2019,50530715726.75,4604619675.42,1121233466.62,41500841.43,95973638.78
+保利发展,2020,52539468908.04,5870397845.63,1144365772.77,36390616.39,118499338.25
+保利发展,2021,50034962011.57,5583381396.48,1943467964.0,46997541.85,115003099.74
+","corporate,year,EBITDA增长率
+保利发展,2019,36.491213490068844
+保利发展,2020,5.878420725331408
+保利发展,2021,-3.324970096603043
+招商蛇口,2019,3.606002865836212
+招商蛇口,2020,-7.14381610566871
+招商蛇口,2021,-2.0656769565480912
+"
+CN,fundamental,在2018-2022年间，EBITDA增长率的最小值，华润三九相对海尔智家的比值是多少？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.9767,hard,growth,EBITDA增长率 = (本期EBITDA - 上期EBITDA) / 上期EBITDA * 100%；EBITDA = 利润总额 + 利息支出 + 折旧与摊销,"corporate,year,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+华润三九,2017,1518306647.21,27977571.93,279216439.55,41955106.24,21152742.79
+华润三九,2018,1718880497.33,25836440.62,290570815.67,59631776.31,26052025.66
+华润三九,2019,2554983435.72,4406951.57,300456267.19,36993374.62,32349440.4
+华润三九,2020,2059418523.12,5088327.01,327407494.04,65033495.96,34281008.73
+华润三九,2021,2444002613.71,14178715.68,412847420.41,68356144.35,43379926.85
+华润三九,2022,2963436465.76,21227245.99,447081993.6,77293357.48,47034026.75
+海尔智家,2017,10503277210.05,1431139429.49,2597277680.6,473044960.22,36706751.0
+海尔智家,2018,11781495032.66,1465865741.36,2560302067.47,555797458.0,40540358.8
+海尔智家,2019,14630608797.96,1747107740.65,3766641387.29,786513629.57,110134513.81
+海尔智家,2020,13562278629.27,1327091393.08,3954878769.18,950566688.96,189323872.7
+海尔智家,2021,15937513226.9,712462772.83,3899373994.04,905996786.57,257802793.09
+海尔智家,2022,17791135761.49,988036369.52,4565101620.07,1074941740.28,411338249.38
+","corporate,year,EBITDA增长率
+华润三九,2018,12.303399403326706
+华润三九,2019,38.10602324108843
+华润三九,2020,-14.95159753919086
+华润三九,2021,19.730663136986752
+华润三九,2022,19.220699685863718
+海尔智家,2018,9.058667790910544
+海尔智家,2019,28.26752758417272
+海尔智家,2020,-5.022890600431089
+海尔智家,2021,8.651912347498747
+海尔智家,2022,14.357217762294209
+"
+CN,fundamental,分别统计国投电力和中远海控在2019-2021年的EBITDA增长率的最大值，计算两者之比。（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0099,hard,growth,EBITDA增长率 = (本期EBITDA - 上期EBITDA) / 上期EBITDA * 100%；EBITDA = 利润总额 + 利息支出 + 折旧与摊销,"corporate,year,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+国投电力,2018,9729172218.86,5026106016.39,6826719053.27,339100223.45,31056691.66
+国投电力,2019,10317072306.22,4873610844.96,7179415205.73,349319545.14,46767898.25
+国投电力,2020,11709596168.13,4219524872.48,6808289674.62,371291397.85,60693876.95
+国投电力,2021,6585396748.33,4396297986.32,8235063717.72,359604199.47,29988302.54
+中远海控,2018,3845322519.27,3564540952.5,3902467847.16,297641211.95,15542708.3
+中远海控,2019,11926700765.72,6064480074.47,11610436608.8,413434117.36,36698517.3
+中远海控,2020,13947709711.19,4083891554.15,11877973025.0,427268460.63,89454567.57
+中远海控,2021,128006539768.12,3593158471.65,12582627536.75,398129032.91,85720376.5
+","corporate,year,EBITDA增长率
+中远海控,2019,158.49822107127255
+中远海控,2020,1.2463408415398076
+中远海控,2021,375.4642790458072
+国投电力,2019,3.708208265662557
+国投电力,2020,1.7710924142799813
+国投电力,2021,-15.378238764546165
+"
+CN,fundamental,"2017-2021年的净利润增长率的最小值, 中国化学与康龙化成之比是多少？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",-0.3562,hard,growth,(本期净利润 - 上期净利润) / |上期净利润| * 100%,"corporate,year,净利润
+中国化学,2016,1775245823.07
+中国化学,2017,1596140783.93
+中国化学,2018,2080047920.64
+中国化学,2019,3287263412.45
+中国化学,2020,3842161678.09
+中国化学,2021,5003831512.0
+康龙化成,2016,176911924.66
+康龙化成,2017,227023844.49
+康龙化成,2018,332845594.84
+康龙化成,2019,530673808.83
+康龙化成,2020,1146991543.78
+康龙化成,2021,1620076584.07
+","corporate,year,净利润增长率
+中国化学,2017,-10.089027491993573
+中国化学,2018,30.31732172888467
+中国化学,2019,58.03786921594371
+中国化学,2020,16.88024949684316
+中国化学,2021,30.23479830467427
+康龙化成,2017,28.325914110260303
+康龙化成,2018,46.6126148941422
+康龙化成,2019,59.43543103975786
+康龙化成,2020,116.13871359297401
+康龙化成,2021,41.245730437637874
+"
+CN,fundamental,卓胜微与宝丰能源在2017至2019年净利润增长率最大值之比是多少？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.9709,hard,growth,(本期净利润 - 上期净利润) / |上期净利润| * 100%,"corporate,year,净利润
+卓胜微,2016,84159408.33
+卓胜微,2017,169446088.86
+卓胜微,2018,160375944.55
+卓胜微,2019,494456758.23
+宝丰能源,2016,1718475039.36
+宝丰能源,2017,2923435673.51
+宝丰能源,2018,3695515632.36
+宝丰能源,2019,3801873303.62
+","corporate,year,净利润增长率
+卓胜微,2017,101.33944881786697
+卓胜微,2018,-5.352820104035538
+卓胜微,2019,208.31104977582498
+宝丰能源,2017,70.11801780948507
+宝丰能源,2018,26.410020437460425
+宝丰能源,2019,2.8780197904907383
+"
+CN,fundamental,2018到2022年，中远海能的净利润增长率平均值是陕西煤业的几倍？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.1174,hard,growth,(本期净利润 - 上期净利润) / |上期净利润| * 100%,"corporate,year,净利润
+中远海能,2017,1885061660.14
+中远海能,2018,323858722.56
+中远海能,2019,689355060.26
+中远海能,2020,2622548565.14
+中远海能,2021,-4657130544.8
+中远海能,2022,1784305407.01
+陕西煤业,2017,15725672965.81
+陕西煤业,2018,15929157536.05
+陕西煤业,2019,16630096066.64
+陕西煤业,2020,19712868322.15
+陕西煤业,2021,34023199603.77
+陕西煤业,2022,53209422754.4
+","corporate,year,净利润增长率
+中远海能,2018,-82.81972789495133
+中远海能,2019,112.8567218479922
+中远海能,2020,280.4350930782852
+中远海能,2021,-277.5803356591564
+中远海能,2022,138.31340757673837
+陕西煤业,2018,1.2939641481951591
+陕西煤业,2019,4.400349039198554
+陕西煤业,2020,18.537308763321267
+陕西煤业,2021,72.59385619463839
+陕西煤业,2022,56.391589780121784
+"
+CN,fundamental,在2021-2023年间，净利润增长率的最小值，圣邦股份相对新和成的比值是多少？（指标单位：%）按中国会计���则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.732,hard,growth,(本期净利润 - 上期净利润) / |上期净利润| * 100%,"corporate,year,净利润
+圣邦股份,2020,283586476.92
+圣邦股份,2021,688961437.31
+圣邦股份,2022,858236417.09
+圣邦股份,2023,269937466.3
+新和成,2020,3577227510.51
+新和成,2021,4372225619.34
+新和成,2022,3638277074.8
+新和成,2023,2725408902.23
+","corporate,year,净利润增长率
+圣邦股份,2021,142.94580079865958
+圣邦股份,2022,24.56958700633841
+圣邦股份,2023,-68.54742342264267
+新和成,2021,22.223862096952793
+新和成,2022,-16.786611864069165
+新和成,2023,-25.090672145143905
+"
+CN,fundamental,分别统计卓胜微和三环集团在2023-2025年的净利润增长率的最小值，计算两者之比。（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-33.7673,hard,growth,(本期净利润 - 上期净利润) / |上期净利润| * 100%,"corporate,year,净利润
+卓胜微,2022,1078496540.95
+卓胜微,2023,1119455336.98
+卓胜微,2024,402645477.35
+卓胜微,2025,-292895136.67
+三环集团,2022,1506103182.8
+三环集团,2023,1583150590.62
+三环集团,2024,2190233758.58
+三环集团,2025,2616980154.49
+","corporate,year,净利润增长率
+三环集团,2023,5.115679237644324
+三环集团,2024,38.34652063782838
+三环集团,2025,19.48405708926126
+卓胜微,2023,3.7977679551870582
+卓胜微,2024,-64.03201949653186
+卓胜微,2025,-172.74268634474205
+"
+CN,fundamental,"2020-2024年的每股收益增长率的平均值, 中国太保与康龙化成之比是多少？（指标单位：%；净利润用归母净利润）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",0.6887,hard,growth,(本期每股收益 - 上期每股收益) / |上期每股收益| * 100%,"corporate,year,归属于母公司所有者的净利润,股本
+中国太保,2019,27741000000.0,9062000000.0
+中国太保,2020,24584000000.0,9620000000.0
+中国太保,2021,26834000000.0,9620000000.0
+中国太保,2022,37381000000.0,9620000000.0
+中国太保,2023,27257000000.0,9620000000.0
+中国太保,2024,44960000000.0,9620000000.0
+康龙化成,2019,547191486.94,794387462.0
+康龙化成,2020,1172382387.8,794387462.0
+康龙化成,2021,1661028567.53,794177098.0
+康龙化成,2022,1374604224.18,1191224554.0
+康龙化成,2023,1601096033.08,1787394297.0
+康龙化成,2024,1793350814.5,1778195525.0
+","corporate,year,每股收益增长率
+中国太保,2020,-16.52058044185221
+中国太保,2021,9.152294175073218
+中国太保,2022,39.30461354997392
+中国太保,2023,-27.08327760092025
+中国太保,2024,64.94845360824742
+康龙化成,2020,114.25450062393836
+康龙化成,2021,41.71728977029529
+康龙化成,2022,-44.82729275917029
+康龙化成,2023,-22.37296898356427
+康龙化成,2024,12.58712463139225
+"
+CN,fundamental,渝农商行与青岛啤酒在2017至2021年每股收益增长率最大值之比是多少？（指标单位：%；净利润用归母净利润）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.3183,hard,growth,(本期每股收益 - 上期每股收益) / |上期每股收益| * 100%,"corporate,year,归属于母公司所有者的净利润,股本
+渝农商行,2016,7944748000.0,9300000000.0
+渝农商行,2017,8935973000.0,10000000000.0
+渝农商行,2018,9058191000.0,10000000000.0
+渝农商行,2019,9759893000.0,11357000000.0
+渝农商行,2020,8401197000.0,11357000000.0
+渝农商行,2021,9559709000.0,11357000000.0
+青岛啤酒,2016,1043486428.0,1350982795.0
+青岛啤酒,2017,1263017188.0,1350982795.0
+青岛啤酒,2018,1422199705.0,1350982795.0
+青岛啤酒,2019,1852103376.0,1350982795.0
+青岛啤酒,2020,2201323556.0,1364182795.0
+青岛啤酒,2021,3155455810.0,1364354793.0
+","corporate,year,每股收益增长率
+渝农商行,2017,4.603127625948624
+渝农商行,2018,1.367707803056248
+渝农商行,2019,-5.127584799747667
+渝农商行,2020,-13.92121819368307
+渝农商行,2021,13.789844470972417
+青岛啤酒,2017,21.03819983751623
+青岛啤酒,2018,12.603353185720872
+青岛啤酒,2019,30.228080450909655
+青岛啤酒,2020,17.705269997125658
+青岛啤酒,2021,43.325501035320286
+"
+CN,fundamental,2023到2025年，拓普集团的每股收益增长率平均值是中国化学的几倍？（指标单位：%；净利润用归母净利润）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.4139,hard,growth,(本期每股收益 - 上期每股收益) / |上期每股收益| * 100%,"corporate,year,归属于母公司所有者的净利润,股本
+拓普集团,2022,1700208711.12,1102046572.0
+拓普集团,2023,2150642258.47,1102049773.0
+拓��集团,2024,3000605982.24,1686025655.0
+拓普集团,2025,2779071103.34,1737835580.0
+中国化学,2022,5415214018.5,6109470588.0
+中国化学,2023,5426141014.95,6109470588.0
+中国化学,2024,5687933905.73,6109070562.0
+中国化学,2025,6436145919.35,6106877362.0
+","corporate,year,每股收益增长率
+中国化学,2023,0.20178327971286783
+中国化学,2024,4.83152464614502
+中国化学,2025,13.195010319705924
+拓普集团,2023,26.492471052254146
+拓普集团,2024,-8.80357235462114
+拓普集团,2025,-10.144186214784712
+"
+CN,fundamental,在2021-2025年间，每股收益增长率的最大值，中信特钢相对中远海能的比值是多少？（指标单位：%；净利润用归母净利润）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.2191,hard,growth,(本期每股收益 - 上期每股收益) / |上期每股收益| * 100%,"corporate,year,归属于母公司所有者的净利润,股本
+中信特钢,2020,6032162883.46,5047143433.0
+中信特钢,2021,7777737680.11,5047143433.0
+中信特钢,2022,7105360274.44,5047154263.0
+中信特钢,2023,5721189483.5,5047156349.0
+中信特钢,2024,5125627037.63,5047157035.0
+中信特钢,2025,5928668055.97,5047158005.0
+中远海能,2020,2372519124.56,4762691885.0
+中远海能,2021,-4975409016.35,4762691885.0
+中远海能,2022,1457074605.98,4770776395.0
+中远海能,2023,3381403154.19,4770776395.0
+中远海能,2024,4041765166.01,4770776395.0
+中远海能,2025,4037310920.74,5465220839.0
+","corporate,year,每股收益增长率
+中信特钢,2021,28.937792801257256
+中信特钢,2022,-8.645092953097286
+中信特钢,2023,-19.480689255104082
+中信特钢,2024,-10.409778320629078
+中信特钢,2025,15.667153950713855
+中远海能,2021,-309.70996460450976
+中远海能,2022,129.2358971319662
+中远海能,2023,132.06794904751868
+中远海能,2024,19.5292303729511
+中远海能,2025,-12.802814743419603
+"
+CN,fundamental,分别统计华友钴业和四川路桥在2020-2024年的每股收益增长率的平均值，计算两者之比。（指标单位：%；净利润用归母净利润）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,9.2133,hard,growth,(本期每股收益 - 上期每股收益) / |上期每股收益| * 100%,"corporate,year,归属于母公司所有者的净利润,股本
+华友钴业,2019,119534808.82,1078671471.0
+华友钴业,2020,1164842854.12,1141261526.0
+华友钴业,2021,3897503525.74,1221228483.0
+华友钴业,2022,3907615568.23,1599678228.0
+华友钴业,2023,3350891340.06,1710086520.0
+华友钴业,2024,4154825193.75,1692178088.0
+四川路桥,2019,1701863780.31,3610525510.0
+四川路桥,2020,3010398063.22,4777570289.0
+四川路桥,2021,6701881859.48,5827466107.0
+四川路桥,2022,11212381160.83,6226336775.0
+四川路桥,2023,9003845893.62,8715578165.0
+四川路桥,2024,7209866536.24,8712263805.0
+","corporate,year,每股收益增长率
+华友钴业,2020,821.0367610301217
+华友钴业,2021,212.68527414033707
+华友钴业,2022,-23.459797768069233
+华友钴业,2023,-19.78361907025811
+华友钴业,2024,25.30385368937323
+四川路桥,2020,33.67877678200345
+四川路桥,2021,82.51567581798818
+四川路桥,2022,56.58430681016392
+四川路桥,2023,-42.63241003082637
+四川路桥,2024,-19.894127104286795
+"
+CN,fundamental,"2022-2024年的公司自由现金流的最小值, 中海油服与伊利股份之比是多少？（指标单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",0.4245,hard,cash flow,经营活动现金流净额 - 资本支出 + 利息支出 * (1 - 所得税费用 / 利润总额),"corporate,year,经营活动产生的现金流量净额,购建固定资产、无形资产和其他长期资产支付的现金,财务费用——利息费用,所得税费用,利润总额
+中海油服,2022,6899886329.0,4142285637.0,763602431.0,482274582.0,2981478582.0
+中海油服,2023,13095904097.0,9473763621.0,969394082.0,960240347.0,4242868554.0
+中海油服,2024,11016625639.0,6031060059.0,759921233.0,1268236298.0,4667339590.0
+伊利股份,2022,13420320580.36,6646107588.62,1402531643.41,1311984452.9,10630190319.67
+伊利股份,2023,18290357650.56,6955597704.25,2192827743.5,1436881588.37,11721187786.65
+伊利股份,2024,21739740393.38,3978318320.96,1819520437.71,1663018637.87,10126728993.52
+","corporate,year,公司自由现金流
+中海油服,2022,3397685199.561599
+中海油服,2023,4372142583.482698
+中海油服,2024,5538996654.5858965
+伊利股份,2022,8003643340.110221
+伊利股份,2023,13258772458.072927
+伊利股份,2024,19282139569.73006
+"
+CN,fundamental,福莱特与贵州茅台在2016至2018年公司自由现金流平均值之比是多少？（指标单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据��关键计算过程。,-0.0037,hard,cash flow,经营活动现金流净额 - 资本支出 + 利息支出 * (1 - 所得税费用 / 利润总额),"corporate,year,经营活动产生的现金流量净额,购建固定资产、无形资产和其他长期资产支付的现金,财务费用——利息费用,所得税费用,利润总额
+福莱特,2016,1047971821.34,394993717.58,28124478.3,126507459.5,729785987.64
+福莱特,2017,309041088.71,553594369.83,10718343.36,69327266.91,495854029.94
+福莱特,2018,430909251.75,1257129436.89,25791618.68,58830542.68,466145258.99
+贵州茅台,2016,37451249647.05,1019178136.92,0.0,6027237847.23,23957880957.11
+贵州茅台,2017,22153036084.13,1125017192.45,880974.99,9733648906.6,38740072142.6
+贵州茅台,2018,41385234406.72,1606750226.28,0.0,12997985690.66,50827603447.47
+","corporate,year,公司自由现金流
+福莱特,2016,676227240.0285618
+福莱特,2017,-235333510.73931348
+福莱特,2018,-803683635.3345128
+贵州茅台,2016,36432071510.130005
+贵州茅台,2017,21028678517.02417
+贵州茅台,2018,39778484180.44
+"
+CN,fundamental,2017到2019年，东方盛虹的公司自由现金流最大值是北方华创的几倍？（指标单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-3.1313,hard,cash flow,经营活动现金流净额 - 资本支出 + 利息支出 * (1 - 所得税费用 / 利润总额),"corporate,year,经营活动产生的现金流量净额,购建固定资产、无形资产和其他长期资产支付的现金,财务费用——利息费用,所得税费用,利润总额
+东方盛虹,2017,1306195131.68,910808527.41,193427436.17,317536511.72,1746694479.24
+东方盛虹,2018,2114607969.78,2217221274.98,330591107.11,318206064.76,1283389551.81
+东方盛虹,2019,5215122982.16,6025420649.83,465420050.93,293723202.4,1905883990.99
+北方华创,2017,31620679.25,232257437.44,29299897.35,38453180.83,205836347.11
+北方华创,2018,-20447601.12,244352333.82,57675090.75,62317803.92,345166505.31
+北方华创,2019,-941473333.97,171159241.17,80110684.27,69661425.3,439314917.2
+","corporate,year,公司自由现金流
+东方盛虹,2017,553650321.7230959
+东方盛虹,2018,146010409.3207711
+东方盛虹,2019,-416605312.8991562
+北方华创,2017,-176810501.75385612
+北方华创,2018,-217537746.19855005
+北方华创,2019,-1045224906.9286737
+"
+CN,fundamental,在2023-2025年间，公司自由现金流的最大值，华东医药相对中航光电的比值是多少？（指标单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.771,hard,cash flow,经营活动现金流净额 - 资本支出 + 利息支出 * (1 - 所得税费用 / 利润总额),"corporate,year,经营活动产生的现金流量净额,购建固定资产、无形资产和其他长期资产支付的现金,财务费用——利息费用,所得税费用,利润总额
+华东医药,2023,3929216706.7,1606618467.79,119514554.96,619588815.15,3465985765.12
+华东医药,2024,3748928882.35,1727864860.12,101203829.32,807328247.71,4301513879.47
+华东医药,2025,4245604371.17,1574454008.41,94734093.6,605615537.79,4016462310.24
+中航光电,2023,3087812924.84,2393678207.99,37520802.14,198004395.59,3733766834.38
+中航光电,2024,2149960286.48,1542804098.43,28174285.33,216268359.36,3764188357.46
+中航光电,2025,1561835267.72,1582141609.49,28417890.43,341029791.32,2690774891.98
+","corporate,year,公司自由现金流
+中航光电,2023,729665763.3144786
+中航光电,2024,633711742.8899637
+中航光电,2025,4509854.860944919
+华东医药,2023,2420748054.797483
+华东医药,2024,2103273443.423965
+华东医药,2025,2751600134.8324857
+"
+CN,fundamental,分别统计金山办公和中国电信在2018-2020年的公司自由现金流的平均值，计算两者之比。（指标单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0221,hard,cash flow,经营活动现金流净额 - 资本支出 + 利息支出 * (1 - 所得税费用 / 利润总额),"corporate,year,经营活动产生的现金流量净额,购建固定资产、无形资产和其他长期资产支付的现金,财务费用——利息费用,所得税费用,利润总额
+金山办公,2018,418097821.34,52573552.67,0.0,10851723.42,321518326.55
+金山办公,2019,585691496.95,63210239.47,240.14,5792795.72,406372000.65
+金山办公,2020,1514423730.42,55277440.82,3786.18,49289324.13,935863143.87
+中国电信,2018,102339000000.0,83855000000.0,3001000000.0,6810000000.0,27372000000.0
+中国电信,2019,116658000000.0,83163000000.0,4130000000.0,6322000000.0,27042000000.0
+中国电信,2020,135179695764.27,88966977934.59,3457176486.89,6306554704.44,27395728407.38
+","corporate,year,公司自由现金流
+中国电信,2018,20738368040.333187
+中国电信,2019,36659470083.5737
+中国电信,2020,48874044966.873505
+金山办公,2018,365524268.66999996
+金山办公,2019,522481494.1968263
+金山办公,2020,1459149876.3723683
+"
+CN,fundamental,"2023-2025年的股权自由现金流的平均值, 中航成飞与宝丰能源之比是多少？（指标单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",-1.3477,hard,cash flow,经营活动现金流净额 - 资本支出 + 净借款（取得借款收到的现金 + 发行债券收到的现金 - 偿还债务支付的现金）,"corporate,year,经营活动产生的现金流量净额,购建固定资产、无形资产和其他长期资产支付的现金,取得借款收到的现金,发行债券收到的现金,偿还债务支付的现金
+中航成飞,2023,130140846.3,239164243.18,394116790.53,0.0,104500000.0
+中航成飞,2024,-12248782722.8,1616442544.07,4000148624.33,0.0,4006542044.73
+中航成飞,2025,-2542177536.87,1825659532.35,4499923802.63,0.0,4333253332.43
+宝丰能源,2023,8692623772.83,12842160367.9,11270000000.0,0.0,4841110788.3
+宝丰能源,2024,8897635369.03,11529080272.76,11997599143.78,0.0,4374381237.58
+宝丰能源,2025,16851078343.67,6643088695.58,4040000000.0,0.0,8242985989.51
+","corporate,year,股权自由现金流
+中航成飞,2023,180593393.64999998
+中航成飞,2024,-13871618687.269999
+中航成飞,2025,-4201166599.0199995
+宝丰能源,2023,2279352616.63
+宝丰能源,2024,4991773002.470001
+宝丰能源,2025,6005003658.58
+"
+CN,fundamental,中国能建与同仁堂在2020至2024年股权自由现金流最大值之比是多少？（指标单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,14.7125,hard,cash flow,经营活动现金流净额 - 资本支出 + 净借款（取得借款收到的现金 + 发行债券收到的现金 - 偿还债务支付的现金）,"corporate,year,经营活动产生的现金流量净额,购建固定资产、无形资产和其他长期资产支付的现金,取得借款收到的现金,发行债券收到的现金,偿还债务支付的现金
+中国能建,2020,6490100000.0,15004483000.0,46406862000.0,0.0,35635404000.0
+中国能建,2021,8844178000.0,14042982000.0,62323727000.0,0.0,44852355000.0
+中国能建,2022,7936761000.0,19982714000.0,110992956000.0,0.0,57279007000.0
+中国能建,2023,9486032000.0,31129600000.0,118040601000.0,0.0,77549951000.0
+中国能建,2024,11027252000.0,45518304000.0,165729542000.0,0.0,108991098000.0
+同仁堂,2020,2174631663.93,1150958582.66,507238695.39,0.0,305442918.18
+同仁堂,2021,3426414563.66,471207370.17,1501951040.11,0.0,1625013031.45
+同仁堂,2022,3094296284.27,330028680.33,1726400000.0,0.0,1782351969.88
+同仁堂,2023,1869491851.11,324514815.54,368600000.0,0.0,325197080.79
+同仁堂,2024,760985272.75,519551438.55,1376842186.69,0.0,485739379.92
+","corporate,year,股权自由现金流
+中国能建,2020,2257075000.0
+中国能建,2021,12272568000.0
+中国能建,2022,41667996000.0
+中国能建,2023,18847082000.0
+中国能建,2024,22247392000.0
+同仁堂,2020,1225468858.4799998
+同仁堂,2021,2832145202.1499996
+同仁堂,2022,2708315634.06
+同仁堂,2023,1588379954.78
+同仁堂,2024,1132536640.97
+"
+CN,fundamental,2019到2021年，南山铝业的股权自由现金流平均值是招商轮船的几倍？（指标单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.75,hard,cash flow,经营活动现金流净额 - 资本支出 + 净借款（取得借款收到的现金 + 发行债券收到的现金 - 偿还债务支付的现金）,"corporate,year,经营活动产生的现金流量净额,购建固定资产、无形资产和其他长期资产支付的现金,取得借款收到的现金,发行债券收到的现金,偿还债务支付的现金
+南山铝业,2019,3792042387.77,2684575600.41,5033642156.14,0.0,4177193543.49
+南山铝业,2020,5883410831.48,2846114759.02,5269910095.53,0.0,7234018156.14
+南山铝业,2021,4416010733.48,1197510650.23,8084360587.91,0.0,5162065448.87
+招商轮船,2019,4683665408.22,3928291354.73,8319666975.0,0.0,9684249450.52
+招商轮船,2020,8071813721.95,1418550062.89,14410722650.0,0.0,9673065977.15
+招商轮船,2021,6508505385.47,2429600282.69,4951191301.0,0.0,7573928792.84
+","corporate,year,股权自由现金流
+南山铝业,2019,1963915400.0100007
+南山铝业,2020,1073188011.849999
+南山铝业,2021,6140795222.289999
+招商轮船,2019,-609208422.0300002
+招商轮船,2020,11390920331.91
+招商轮船,2021,1456167610.94
+"
+CN,fundamental,在2016-2020年间，股权自由现金流的平均值，云铝股份相对TCL科技的比值是多少？（指标单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-0.0281,hard,cash flow,经营活动现金流净额 - 资本支出 + 净借款（取得借款收到的现金 + 发行债��收到的现金 - 偿还债务支付的现金）,"corporate,year,经营活动产生的现金流量净额,购建固定资产、无形资产和其他长期资产支付的现金,取得借款收到的现金,发行债券收到的现金,偿还债务支付的现金
+云铝股份,2016,909743491.54,1418614220.03,7688134237.51,0.0,8700806211.36
+云铝股份,2017,2032199301.55,2812965897.57,10518224069.43,0.0,8323315895.89
+云铝股份,2018,337325819.5,3668766086.36,11749738860.51,0.0,8568673429.38
+云铝股份,2019,3683920646.97,3539956656.15,11616414662.46,0.0,11963468864.46
+云铝股份,2020,4980888756.78,5286562715.22,16525900000.0,0.0,16278580000.0
+TCL科技,2016,8028002000.0,14542304000.0,45106460000.0,16098255000.0,46091747000.0
+TCL科技,2017,9209615000.0,15656963000.0,42829609000.0,4000000000.0,39733145000.0
+TCL科技,2018,10486579000.0,32798364000.0,50564652000.0,5000000000.0,38554966000.0
+TCL科技,2019,11490096000.0,20116210000.0,36378744000.0,4000000000.0,29273623000.0
+TCL科技,2020,16698283000.0,33085563000.0,61815269000.0,9039321000.0,42412001000.0
+","corporate,year,股权自由现金流
+TCL科技,2016,8598666000.0
+TCL科技,2017,649116000.0
+TCL科技,2018,-5302099000.0
+TCL科技,2019,2479007000.0
+TCL科技,2020,12055309000.0
+云铝股份,2016,-1521542702.3400004
+云铝股份,2017,1414141577.5199997
+云铝股份,2018,-150374835.73000002
+云铝股份,2019,-203090211.1800003
+云铝股份,2020,-58353958.440000534
+"
+CN,fundamental,分别统计时代电气和领益智造在2022-2024年的股权自由现金流的最大值，计算两者之比。（指标单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.2959,hard,cash flow,经营活动现金流净额 - 资本支出 + 净借款（取得借款收到的现金 + 发行债券收到的现金 - 偿还债务支付的现金）,"corporate,year,经营活动产生的现金流量净额,购建固定资产、无形资产和其他长期资产支付的现金,取得借款收到的现金,发行债券收到的现金,偿还债务支付的现金
+时代电气,2022,2041235459.0,953443703.0,267858093.0,0.0,156965431.0
+时代电气,2023,2767580144.0,2982647673.0,838090483.0,0.0,479838338.0
+时代电气,2024,3361120915.0,3450534468.0,319000000.0,0.0,1344118434.0
+领益智造,2022,4124729586.77,2217803426.83,6978792988.79,0.0,7405899419.0
+领益智造,2023,5295286916.67,2281568794.98,7847087069.77,0.0,8590049145.61
+领益智造,2024,4015061392.51,3623127027.16,6847326449.94,2120498457.7,5308249066.37
+","corporate,year,股权自由现金流
+时代电气,2022,1198684418.0
+时代电气,2023,143184616.0
+时代电气,2024,-1114531987.0
+领益智造,2022,1479819729.73
+领益智造,2023,2270756045.85
+领益智造,2024,4051510206.62
+"
+CN,fundamental,"2016-2020年的经营现金流利润率的最小值, 豪威集团与东方电气之比是多少？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",1.4902,hard,cash flow,经营活动现金流净额 / 营业收入 * 100%,"corporate,year,经营活动产生的现金流量净额,营业收入
+豪威集团,2016,70116453.25,2160769529.87
+豪威集团,2017,-271954275.88,2405916266.81
+豪威集团,2018,790006614.66,9701902368.56
+豪威集团,2019,805335234.79,13631670629.57
+豪威集团,2020,3344594067.54,19823965431.66
+东方电气,2016,8965090194.05,33285723808.34
+东方电气,2017,1838566815.4,32772718802.4
+东方电气,2018,-551780305.01,29729655571.73
+东方电气,2019,202244625.11,31777585757.68
+东方电气,2020,-2748802008.23,36238925547.37
+","corporate,year,经营现金流利润率
+东方电气,2016,26.933739658693334
+东方电气,2017,5.6100527590813085
+东方电气,2018,-1.855992928268867
+东方电气,2019,0.6364379806956278
+东方电气,2020,-7.585219392437232
+豪威集团,2016,3.2449760273238613
+豪威集团,2017,-11.303563620715016
+豪威集团,2018,8.142801119294878
+豪威集团,2019,5.907824922376397
+豪威集团,2020,16.871468420735305
+"
+CN,fundamental,华勤技术与中微公司在2019至2021年经营现金流利润率平均值之比是多少？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.1367,hard,cash flow,经营活动现金流净额 / 营业收入 * 100%,"corporate,year,经营活动产生的现金流量净额,营业收入
+华勤技术,2019,1107197974.32,35300097708.54
+华勤技术,2020,2625663576.48,59865743277.45
+华勤技术,2021,2489948509.64,83758524337.08
+中微公司,2019,133270991.54,1946949250.75
+中微公司,2020,846292855.04,2273291898.06
+中微公司,2021,1016256088.4,3108134730.67
+","corporate,year,经营现金流利润率
+中微公司,2019,6.845118920724905
+中微公司,2020,37.22763696831965
+中微公司,2021,32.69665495423785
+华勤技术,2019,3.136529489129828
+华勤技术,2020,4.385919948093295
+华勤技术,2021,2.9727702694705864
+"
+CN,fundamental,2019到2021年，华润三九的经营现金流利润率最大值是中国人寿的几倍？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.4249,hard,cash flow,经营活动现金流净额 / 营业收入 * 100%,"corporate,year,经营活动产生的现金流量净额,营业收入
+华润三九,2019,1949461227.02,14793661506.1
+华润三九,2020,2223984705.7,13637258153.77
+华润三九,2021,1884653344.33,15544401735.35
+中国人寿,2019,286032000000.0,745165000000.0
+中国人寿,2020,304019000000.0,825049000000.0
+中国人寿,2021,286446000000.0,858508000000.0
+","corporate,year,经营现金流利润率
+中国人寿,2019,38.38505565881382
+中国人寿,2020,36.848599295314585
+中国人寿,2021,33.36555978511557
+华润三九,2019,13.177679009460649
+华润三九,2020,16.30815139394558
+华润三九,2021,12.124322160588862
+"
+CN,fundamental,在2021-2025年间，经营现金流利润率的最大值，隆基绿能相对亿纬锂能的比值是多少？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0622,hard,cash flow,经营活动现金流净额 / 营业收入 * 100%,"corporate,year,经营活动产生的现金流量净额,营业收入
+隆基绿能,2021,12322606645.15,80607866874.19
+隆基绿能,2022,24370135419.56,128998111551.18
+隆基绿能,2023,8117363683.48,129497674192.2
+隆基绿能,2024,-4724978931.84,82582273118.72
+隆基绿能,2025,4359382755.77,70347049950.42
+亿纬锂能,2021,1862853924.53,16899804086.38
+亿纬锂能,2022,2860220008.15,36303947808.53
+亿纬锂能,2023,8676259761.12,48783587175.86
+亿纬锂能,2024,4433732894.55,48614556525.09
+亿纬锂能,2025,7492131666.79,61469630776.09
+","corporate,year,经营现金流利润率
+亿纬锂能,2021,11.022932070741124
+亿纬锂能,2022,7.878537131099447
+亿纬锂能,2023,17.785202490015635
+亿纬锂能,2024,9.120175543022281
+亿纬锂能,2025,12.18834662287289
+隆基绿能,2021,15.287101771819248
+隆基绿能,2022,18.891854405086505
+隆基绿能,2023,6.26834708354085
+隆基绿能,2024,-5.721541383400026
+隆基绿能,2025,6.196965983424261
+"
+CN,fundamental,分别统计澜起科技和浙能电力在2018-2020年的经营现金流利润率的最小值，计算两者之比。（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,4.1805,hard,cash flow,经营活动现金流净额 / 营业收入 * 100%,"corporate,year,经营活动产生的现金流量净额,营业收入
+澜起科技,2018,969147001.68,1757664583.13
+澜起科技,2019,868962637.0,1737734714.98
+澜起科技,2020,1000111569.0,1823665555.45
+浙能电力,2018,6774212687.19,56633636514.17
+浙能电力,2019,9027910953.58,54370549106.11
+浙能电力,2020,10128263993.26,51684433449.89
+","corporate,year,经营现金流利润率
+浙能电力,2018,11.96146513652723
+浙能电力,2019,16.6044137901956
+浙能电力,2020,19.596352938800678
+澜起科技,2018,55.13833589080859
+澜起科技,2019,50.00548297212334
+澜起科技,2020,54.84073359894198
+"
+CN,fundamental,"2021-2023年的资本支出占收入比的最小值, 紫金矿业与中远海能之比是多少？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",0.3884,hard,cash flow,资本支出 / 营业收入 * 100%,"corporate,year,购建固定资产、无形资产和其他长期资产支付的现金,营业收入
+紫金矿业,2021,20148568080.0,225102488592.0
+紫金矿业,2022,24794352673.0,270328998459.0
+紫金矿业,2023,30428663664.0,293403242878.0
+中远海能,2021,2926107751.27,12698667710.66
+中远海能,2022,4449729764.18,18657843200.85
+中远海能,2023,5723248263.71,22733056873.94
+","corporate,year,资本支出占收入比
+中远海能,2021,23.042635794097162
+中远海能,2022,23.849111155448465
+中远海能,2023,25.175885035816876
+紫金矿业,2021,8.950841994696662
+紫金矿业,2022,9.171917483636328
+紫金矿业,2023,10.370936382817195
+"
+CN,fundamental,中国太保与中国国航在2018至2022年资本支出占收入比平均值之比是多少？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.1113,hard,cash flow,资本支出 / 营业收入 * 100%,"corporate,year,购建固定资产、无形资产和其他长期资产支付的现金,营业收入
+中国太保,2018,4177000000.0,354363000000.0
+中国太保,2019,3475000000.0,385489000000.0
+中国太保,2020,3628000000.0,422182000000.0
+中国太保,2021,3688000000.0,440643000000.0
+中国太保,2022,9097000000.0,332140000000.0
+中国国航,2018,12307679000.0,136774403000.0
+中国国航,2019,13108682000.0,136180690000.0
+中国国航,2020,12038135000.0,69503749000.0
+中国国航,2021,6074638000.0,74531670000.0
+中国国航,2022,7637994000.0,52897584000.0
+","corporate,year,资本支出占收入比
+中国国航,2018,8.998525111456711
+中国国航,2019,9.625947702277028
+中国国航,2020,17.320123264142197
+中国国航,2021,8.150411764555926
+中国国航,2022,14.439211439221875
+中国太保,2018,1.178734800190765
+中国太保,2019,0.9014524409256813
+中国太保,2020,0.8593450218152362
+中国太保,2021,0.8369587171474414
+中国太保,2022,2.7389052809056422
+"
+CN,fundamental,2023到2025年，宝信软件的资本支出占收入比最大值是天孚通信的几倍？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.8222,hard,cash flow,资本支出 / 营业收入 * 100%,"corporate,year,购建固定资产、无形资产和其他长期资产支付的现金,营业收入
+宝信软件,2023,376239905.83,12915641411.44
+宝信软件,2024,436716672.09,13644424669.39
+宝信软件,2025,1252497465.16,10971556121.99
+天孚通信,2023,204481976.59,1938597573.62
+天孚通信,2024,451476537.29,3251707626.61
+天孚通信,2025,417510390.23,5163432471.16
+","corporate,year,资本支出占收入比
+天孚通信,2023,10.547933174607499
+天孚通信,2024,13.884290629187884
+天孚通信,2025,8.08590782511393
+宝信软件,2023,2.913056300066881
+宝信软件,2024,3.200696860965734
+宝信软件,2025,11.415859803602995
+"
+CN,fundamental,在2022-2024年间，资本支出占收入比的最小值，中油资本相对中芯国际的比值是多少？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.2364,hard,cash flow,资本支出 / 营业收入 * 100%,"corporate,year,购建固定资产、无形资产和其他长期资产支付的现金,营业收入
+中油资本,2022,150145582.89,745101737.06
+中油资本,2023,324027415.59,770342135.1
+中油资本,2024,954341712.89,804471310.65
+中芯国际,2022,42205585000.0,49516084000.0
+中芯国际,2023,53865069000.0,45250425000.0
+中芯国际,2024,54559287000.0,57795570000.0
+","corporate,year,资本支出占收入比
+中油资本,2022,20.15101769624641
+中油资本,2023,42.06279272883563
+中油资本,2024,118.6296764416505
+中芯国际,2022,85.23611237108331
+中芯国际,2023,119.0377084856109
+中芯国际,2024,94.40046529517747
+"
+CN,fundamental,分别统计卓胜微和芒果超媒在2021-2025年的资本支出占收入比的平均值，计算两者之比。（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,37.9641,hard,cash flow,资本支出 / 营业收入 * 100%,"corporate,year,购建固定资产、无形资产和其他长期资产支付的现金,营业收入
+卓胜微,2021,2858355796.3,4633570865.7
+卓胜微,2022,1710718416.48,3677493060.96
+卓胜微,2023,2121789270.91,4378236624.12
+卓胜微,2024,1868129167.21,4486931811.79
+卓胜微,2025,805660635.07,3726094578.61
+芒果超媒,2021,193602527.81,15355863482.07
+芒果超媒,2022,189897809.91,13976774034.92
+芒果超媒,2023,150261073.92,14628016301.84
+芒果超媒,2024,164567397.14,14079689573.23
+芒果超媒,2025,135029125.0,13813480305.41
+","corporate,year,资本支出占收入比
+卓胜微,2021,61.687969800116235
+卓胜微,2022,46.518603519361136
+卓胜微,2023,48.462188160889255
+卓胜微,2024,41.63489095825451
+卓胜微,2025,21.62211983815364
+芒果超媒,2021,1.2607726555791314
+芒果超媒,2022,1.3586669530147193
+芒果超媒,2023,1.027214290847483
+芒果超媒,2024,1.1688283060792428
+芒果超媒,2025,0.977517048669598
+"
+CN,fundamental,"2016-2018年的现金流量充裕率的最小值, 中国巨石与中联重科之比是多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",3.1106,hard,cash flow,经营活动现金流净额 / (资本支出 + 偿还债务支付的现金 + 分配股利、利润或偿付利息支付的现金),"corporate,year,经营活动产生的现金流量净额,购建固定资产、无形资产和其他长期资产支付的现金,偿还债务支付的现金,分配股利、利润或偿付利息支付的现金
+中国巨石,2016,3169081426.53,1726052488.75,11451429061.56,791917945.28
+中国巨石,2017,3811470323.38,2048433588.36,9119998689.53,1181125479.33
+中国巨石,2018,3862006789.83,6054195562.43,6850229988.75,1177266052.2
+中联重科,2016,2168560151.68,481657305.4,26551606451.57,2701299895.46
+中联重科,2017,2851086469.93,763745484.55,17876573973.38,2679127632.27
+中联重科,2018,5064119225.01,530550674.53,14256747199.77,2746683844.4
+","corporate,year,现金流量充裕率
+中国巨石,2016,0.22685881576587796
+中国巨��,2017,0.30863213066489575
+中国巨石,2018,0.2742573050600689
+中联重科,2016,0.07293061963271079
+中联重科,2017,0.13373172661877195
+中联重科,2018,0.288817412168801
+"
+CN,fundamental,赛轮轮胎与南山铝业在2017至2021年现金流量充裕率最大值之比是多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.6181,hard,cash flow,经营活动现金流净额 / (资本支出 + 偿还债务支付的现金 + 分配股利、利润或偿付利息支付的现金),"corporate,year,经营活动产生的现金流量净额,购建固定资产、无形资产和其他长期资产支付的现金,偿还债务支付的现金,分配股利、利润或偿付利息支付的现金
+赛轮轮胎,2017,1150056832.92,854975572.51,8221044855.48,393862870.79
+赛轮轮胎,2018,1998897816.61,509629300.56,7145830121.93,368116114.6
+赛轮轮胎,2019,2008760004.21,1237723292.76,4632477125.87,399087224.96
+赛轮轮胎,2020,3423117930.67,1547206108.05,7054744556.94,532762562.3
+赛轮轮胎,2021,836670626.36,2590615358.86,6975842361.67,692527870.21
+南山铝业,2017,1809587240.52,1369736631.28,2045601906.45,632691002.65
+南山铝业,2018,2183561375.69,1730333294.18,4139206717.49,884635787.03
+南山铝业,2019,3792042387.77,2684575600.41,4177193543.49,1006045164.63
+南山铝业,2020,5883410831.48,2846114759.02,7234018156.14,939988748.08
+南山铝业,2021,4416010733.48,1197510650.23,5162065448.87,924170124.95
+","corporate,year,现金流量充裕率
+南山铝业,2017,0.447029158870745
+南山铝业,2018,0.3232905747153158
+南山铝业,2019,0.4819689737286764
+南山铝业,2020,0.5338789363011653
+南山铝业,2021,0.6062828931215225
+赛轮轮胎,2017,0.12144361198919539
+赛轮轮胎,2018,0.2491280610956848
+赛轮轮胎,2019,0.3204127994133187
+赛轮轮胎,2020,0.37473731747192884
+赛轮轮胎,2021,0.08155490803254449
+"
+CN,fundamental,2016到2020年，中国中铁的现金流量充裕率最大值是赣锋锂业的几倍？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.6453,hard,cash flow,经营活动现金流净额 / (资本支出 + 偿还债务支付的现金 + 分配股利、利润或偿付利息支付的现金),"corporate,year,经营活动产生的现金流量净额,购建固定资产、无形资产和其他长期资产支付的现金,偿还债务支付的现金,分配股利、利润或偿付利息支付的现金
+中国中铁,2016,54495139000.0,12788792000.0,96648358000.0,11636148000.0
+中国中铁,2017,33220139000.0,15275304000.0,80330177000.0,10787597000.0
+中国中铁,2018,11961697000.0,18980642000.0,115458024000.0,12633915000.0
+中国中铁,2019,22197786000.0,20247804000.0,126990369000.0,16038897000.0
+中国中铁,2020,30994071000.0,43290967000.0,203263532000.0,18187420000.0
+赣锋锂业,2016,658474254.92,506204693.58,360343360.89,77549265.11
+赣锋锂业,2017,503866064.58,352915348.56,2448042870.45,117109561.81
+赣锋锂业,2018,685231948.0,1198382263.36,1680244854.32,348289547.93
+赣锋锂业,2019,669286082.56,814167438.17,2998535754.89,509973555.12
+赣锋锂业,2020,746368363.37,1210284356.11,4490669241.53,530584100.66
+","corporate,year,现金流量充裕率
+中国中铁,2016,0.4501003929041398
+中国中铁,2017,0.3122396646894641
+中国中铁,2018,0.0813319309327957
+中国中铁,2019,0.13595164342427263
+中国中铁,2020,0.1170727745612511
+赣锋锂业,2016,0.6974643834524761
+赣锋锂业,2017,0.17267113118202132
+赣锋锂业,2018,0.21234882056381438
+赣锋锂业,2019,0.15483139766159776
+赣锋锂业,2020,0.11977274302193723
+"
+CN,fundamental,在2022-2024年间，现金流量充裕率的平均值，中联重科相对白云山的比值是多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.2833,hard,cash flow,经营活动现金流净额 / (资本支出 + 偿还债务支付的现金 + 分配股利、利润或偿付利息支付的现金),"corporate,year,经营活动产生的现金流量净额,购建固定资产、无形资产和其他长期资产支付的现金,偿还债务支付的现金,分配股利、利润或偿付利息支付的现金
+中联重科,2022,2424632272.28,1529796036.36,17241730550.01,3730952488.49
+中联重科,2023,2712551743.37,1900028718.31,16343947727.25,3338240048.98
+中联重科,2024,2142055023.05,4035316851.07,10321695240.59,3482035178.8
+白云山,2022,6999076182.74,1383873616.56,8150603270.35,1546212238.71
+白云山,2023,4103624997.34,1628446897.99,9377812966.61,1605758037.25
+白云山,2024,3442426597.59,1128144148.74,8390451069.87,2323993306.31
+","corporate,year,现金流量充裕率
+中联重科,2022,0.10774956235772369
+中联重科,2023,0.12568457665394273
+中联重科,2024,0.12007676141971256
+白云山,2022,0.6316462905323481
+白云山,2023,0.325374181140201
+白云山,2024,0.2906819392015695
+"
+CN,fundamental,分别统计中国石油和天孚通信在2023-2025年的现金流量充裕率的最大值，计算两者之比。按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.1915,hard,cash flow,经营活动现金流净额 / (资本支出 + 偿还债务支付的现金 + 分配股利、利润或偿付利息支付的现金),"corporate,year,经营活动产生的现金流量净额,购建固定资产、无形资产和其他长期资产支付的现金,偿还债务支付的现金,分配股利、利润或偿付利息支付的现金
+中国石油,2023,456847000000.0,282508000000.0,674641000000.0,106587000000.0
+中国石油,2024,406532000000.0,302651000000.0,682824000000.0,106259000000.0
+中国石油,2025,412510000000.0,292789000000.0,616837000000.0,111199000000.0
+天孚通信,2023,901865290.47,204481976.59,0.0,197553625.04
+天孚通信,2024,1262516765.12,451476537.29,0.0,673608626.42
+天孚通信,2025,1868203465.93,417510390.23,40000000.0,667320315.85
+","corporate,year,现金流量充裕率
+中国石油,2023,0.42947404243158077
+中国石油,2024,0.37237275746656234
+中国石油,2025,0.40409472730389634
+天孚通信,2023,2.2432473313644534
+天孚通信,2024,1.1221521764244187
+天孚通信,2025,1.6608752373418318
+"
+CN,fundamental,"2016-2018年的每股净资产的复合年均增长率, 长安汽车与华润微之比是多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",0.0893,hard,per share,股东权益合计 / 股本,"corporate,year,股东权益合计,股本
+长安汽车,2016,43353159550.06,4802648511.0
+长安汽车,2017,47463179258.46,4802648511.0
+长安汽车,2018,46152921953.33,4802648511.0
+华润微,2016,2730575322.65,829723968.05
+华润微,2017,4470521537.28,829723968.05
+华润微,2018,5019796688.24,829723968.05
+","corporate,year,每股净资产
+华润微,2016,3.290944251095146
+华润微,2017,5.387962394031508
+华润微,2018,6.049959843919444
+长安汽车,2016,9.026927423642142
+长安汽车,2017,9.882709332100859
+长安汽车,2018,9.60988959479779
+"
+CN,fundamental,科大讯飞与海南机场在2018至2022年每股净资产平均值之比是多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.2627,hard,per share,股东权益合计 / 股本,"corporate,year,股东权益合计,股本
+科大讯飞,2018,8211756597.79,2092530492.0
+科大讯飞,2019,11734836002.89,2198575067.0
+科大讯飞,2020,12971810964.1,2224737717.0
+科大讯飞,2021,17337240745.87,2324325245.0
+科大讯飞,2022,16847063810.85,2323752783.0
+海南机场,2018,40032860694.98,3907592460.0
+海南机场,2019,28745218957.25,3907592460.0
+海南机场,2020,8345288484.59,3907592460.0
+海南机场,2021,20359708655.87,11425309602.0
+海南机场,2022,23794222553.42,11425309602.0
+","corporate,year,每股净资产
+海南机场,2018,10.244891478519232
+海南机场,2019,7.356247933094333
+海南机场,2020,2.1356598903330877
+海南机场,2021,1.7819831028741693
+海南机场,2022,2.0825888647476845
+科大讯飞,2018,3.9243187275810554
+科大讯飞,2019,5.337473429507422
+科大讯飞,2020,5.8307147242472
+科大讯飞,2021,7.459042482615207
+科大讯飞,2022,7.249938088982162
+"
+CN,fundamental,2017到2021年，领益智造的每股净资产最小值是洋河股份的几倍？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.1895,hard,per share,股东权益合计 / 股本,"corporate,year,股东权益合计,股本
+领益智造,2017,4116005930.23,1110000000.0
+领益智造,2018,9921354863.35,1710364464.5
+领益智造,2019,11661693217.29,1709263413.45
+领益智造,2020,14496252074.1,1765080474.52
+领益智造,2021,15842276351.14,1771950549.66
+洋河股份,2017,29494869092.19,1506988000.0
+洋河股份,2018,33624518530.36,1506988000.0
+洋河股份,2019,36491552569.72,1506988000.0
+洋河股份,2020,38469653076.99,1506988000.0
+洋河股份,2021,42481310257.79,1506988000.0
+","corporate,year,每股净资产
+洋河股份,2017,19.572066328457822
+洋河股份,2018,22.312399654383444
+洋河股份,2019,24.21489260015342
+洋河股份,2020,25.527511219060802
+洋河股份,2021,28.18954779851598
+领益智造,2017,3.708113450657658
+领益智造,2018,5.800725558368264
+领益智造,2019,6.822642505260137
+领益智造,2020,8.212799520113746
+领益智造,2021,8.940586041850771
+"
+CN,fundamental,在2020-2024年间，每股净资产的最大值，紫光股份相对中科曙光的比值是多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.9606,hard,per share,股东权益合计 / 股本,"corporate,year,股东权益合计,股本
+紫光股份,2020,33066409584.99,2860079874.0
+紫光股份,2021,35667778950.3,2860079874.0
+紫光股份,2022,37827804502.12,2860079874.0
+紫光股份,2023,40042663793.13,2860079874.0
+紫光股份,2024,16114527764.75,2860079874.0
+中科曙光,2020,11954844260.79,1450728974.0
+中科曙光,2021,13158347456.0,1463168974.0
+中科曙光,2022,17740325419.38,1464013974.0
+中科曙光,2023,19480787885.08,1463578974.0
+中科曙光,2024,21326848530.54,1463203784.0
+","corporate,year,每股净资产
+中科曙光,2020,8.240577306337029
+中科曙光,2021,8.993047070994002
+中科曙光,2022,12.117592956377068
+中科曙光,2023,13.310376980777807
+中科曙光,2024,14.575446539810207
+紫光股份,2020,11.561358787768597
+紫光股份,2021,12.470903094191
+紫光股份,2022,13.226135691523698
+紫光股份,2023,14.000540389498925
+紫光股份,2024,5.634292913020233
+"
+CN,fundamental,分别统计中国电信和华域汽车在2017-2019年的每股净资产的复合年均增长率，计算两者之比。按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.5042,hard,per share,股东权益合计 / 股本,"corporate,year,股东权益合计,股本
+中国电信,2017,326704213629.05,80932368321.0
+中国电信,2018,344106000000.0,80932000000.0
+中国电信,2019,355047000000.0,80932000000.0
+华域汽车,2017,49934278069.19,3152723984.0
+华域汽车,2018,54627769645.92,3152723984.0
+华域汽车,2019,58701534414.54,3152723984.0
+","corporate,year,每股净资产
+中国电信,2017,4.036755879097116
+中国电信,2018,4.251791627539169
+中国电信,2019,4.386979192408441
+华域汽车,2017,15.838455355624307
+华域汽车,2018,17.327165309476708
+华域汽车,2019,18.619306578199964
+"
+CN,fundamental,"2023-2025年的每股资本公积金的平均值, 海南机场与华大九天之比是多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",0.3203,hard,per share,资本公积 / 股本,"corporate,year,资本公积,股本
+海南机场,2023,27234677062.46,11425309602.0
+海南机场,2024,26940335502.61,11425309602.0
+海南机场,2025,26909736674.86,11425309602.0
+华大九天,2023,3807956278.93,542941768.0
+华大九天,2024,3986310216.08,542941768.0
+华大九天,2025,4254368037.73,545437608.0
+","corporate,year,每股资本公积金
+华大九天,2023,7.013562970034753
+华大九天,2024,7.342058487716127
+华大九天,2025,7.799916938859119
+海南机场,2023,2.383714578525957
+海南机场,2024,2.3579523392428765
+海南机场,2025,2.3552741774410606
+"
+CN,fundamental,古井贡酒与海大集团在2016至2020年每股资本公积金复合年均增长率之比是多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0,hard,per share,资本公积 / 股本,"corporate,year,资本公积,股本
+古井贡酒,2016,1295405592.25,503600000.0
+古井贡酒,2017,1295405592.25,503600000.0
+古井贡酒,2018,1295405592.25,503600000.0
+古井贡酒,2019,1295405592.25,503600000.0
+古井贡酒,2020,1295405592.25,503600000.0
+海大集团,2016,1512859968.55,1541428454.0
+海大集团,2017,1849285839.41,1575237054.0
+海大集团,2018,2010778182.22,1581211084.0
+海大集团,2019,2118792106.43,1580357494.0
+海大集团,2020,5041921064.8,1661210751.0
+","corporate,year,每股资本公积金
+古井贡酒,2016,2.5722906915210486
+古井贡酒,2017,2.5722906915210486
+古井贡酒,2018,2.5722906915210486
+古井贡酒,2019,2.5722906915210486
+古井贡酒,2020,2.5722906915210486
+海大集团,2016,0.9814662267484002
+海大集团,2017,1.1739730440660394
+海大集团,2018,1.2716696730542272
+海大集团,2019,1.3407043118245245
+海大集团,2020,3.0350881498719606
+"
+CN,fundamental,2023到2025年，三六零的每股资本公积金复合年均增长率是国泰海通的几倍？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-0.1218,hard,per share,资本公积 / 股本,"corporate,year,资本公积,股本
+三六零,2023,10964147000.0,7145363000.0
+三六零,2024,9760868000.0,6999558000.0
+三六零,2025,9733222000.0,6999558000.0
+国泰海通,2023,47315448941.0,8904610816.0
+国泰海通,2024,47334374068.0,8903730620.0
+国泰海通,2025,182127438224.0,17628925829.0
+","corporate,year,每股资本公积金
+三六零,2023,1.5344422669639037
+三六零,2024,1.394497766858993
+三六零,2025,1.390548088893613
+国泰海通,2023,5.313589770367343
+国泰海通,2024,5.31624058365773
+国泰海通,2025,10.331170485974594
+"
+CN,fundamental,在2022-2024年间，每股资本公积金的复合年均增长率，格力电器相对长春高新的比值是多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-2.2184,hard,per share,资本公积 / 股本,"corporate,year,资本公积,股本
+格力���器,2022,496102011.66,5631405741.0
+格力电器,2023,1352522393.67,5631405741.0
+格力电器,2024,472179369.5,5601405741.0
+长春高新,2022,3404751120.09,404720290.0
+长春高新,2023,3497405863.39,404654990.0
+长春高新,2024,3499971437.06,407981429.0
+","corporate,year,每股资本公积金
+格力电器,2022,0.08809559006698467
+格力电器,2023,0.2401749147327156
+格力电器,2024,0.08429658398852274
+长春高新,2022,8.41260298585475
+长春高新,2023,8.642932744731505
+长春高新,2024,8.578751845736585
+"
+CN,fundamental,分别统计海螺水泥和中国银河在2020-2024年的每股资本公积金的最大值，计算两者之比。按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.6968,hard,per share,资本公积 / 股本,"corporate,year,资本公积,股本
+海螺水泥,2020,10881679638.0,5299302579.0
+海螺水泥,2021,10515174851.0,5299302579.0
+海螺水泥,2022,10512848831.0,5299302579.0
+海螺水泥,2023,10720511887.0,5299302579.0
+海螺水泥,2024,10619029640.0,5299302579.0
+中国银河,2020,25227335094.87,10137258757.0
+中国银河,2021,25051469662.73,10137258757.0
+中国银河,2022,25051651212.07,10137279676.0
+中国银河,2023,32224103161.39,10934402256.0
+中国银河,2024,32224103161.39,10934402256.0
+","corporate,year,每股资本公积金
+中国银河,2020,2.4885756297233677
+中国银河,2021,2.4712272087788434
+中国银河,2022,2.4712400183039005
+中国银河,2023,2.9470383846275428
+中国银河,2024,2.9470383846275428
+海螺水泥,2020,2.053417308368419
+海螺水泥,2021,1.9842563609538704
+海螺水泥,2022,1.983817431497527
+海螺水泥,2023,2.023004296732006
+海螺水泥,2024,2.0038541830166365
+"
+CN,fundamental,"2022-2024年的每股未分配利润的最大值, 沪农商行与潞安环能之比是多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",0.3431,hard,per share,未分配利润 / 股本,"corporate,year,未分配利润,股本
+沪农商行,2022,33279027000.0,9644444000.0
+沪农商行,2023,36274720000.0,9644444000.0
+沪农商行,2024,37149792000.0,9644444000.0
+潞安环能,2022,33586995522.15,2991409200.0
+潞安环能,2023,32983077769.06,2991409200.0
+潞安环能,2024,30679246858.65,2991409200.0
+","corporate,year,每股未分配利润
+沪农商行,2022,3.450590516156245
+沪农商行,2023,3.7612038599633113
+沪农商行,2024,3.8519371360339694
+潞安环能,2022,11.227817151244304
+潞安环能,2023,11.025933118431274
+潞安环能,2024,10.25578408284965
+"
+CN,fundamental,中国石化与中国平安在2019至2021年每股未分配利润复合年均增长率之比是多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.3654,hard,per share,未分配利润 / 股本,"corporate,year,未分配利润,股本
+中国石化,2019,287187000000.0,121071000000.0
+中国石化,2020,286575000000.0,121071000000.0
+中国石化,2021,318645000000.0,121071000000.0
+中国平安,2019,433644000000.0,18280000000.0
+中国平安,2020,521677000000.0,18280000000.0
+中国平安,2021,569507000000.0,18280000000.0
+","corporate,year,每股未分配利润
+中国平安,2019,23.722319474835885
+中国平安,2020,28.53812910284464
+中国平安,2021,31.15464989059081
+中国石化,2019,2.372054414351909
+中国石化,2020,2.3669995292018733
+中国石化,2021,2.6318854226032657
+"
+CN,fundamental,2023到2025年，中海油服的每股未分配利润最小值是沪硅产业的几倍？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-64.6305,hard,per share,未分配利润 / 股本,"corporate,year,未分配利润,股本
+中海油服,2023,22586454270.0,4771592000.0
+中海油服,2024,24721411826.0,4771592000.0
+中海油服,2025,27462823676.0,4771592000.0
+沪硅产业,2023,1702138075.75,2747177186.0
+沪硅产业,2024,1265447174.14,2747177186.0
+沪硅产业,2025,-242059425.44,3305023393.0
+","corporate,year,每股未分配利润
+中海油服,2023,4.733525890310823
+中海油服,2024,5.180956759505004
+中海油服,2025,5.755484474783259
+沪硅产业,2023,0.6195953011055618
+沪硅产业,2024,0.46063544084047303
+沪硅产业,2025,-0.07323985238733226
+"
+CN,fundamental,在2017-2019年间，每股未分配利润的最小值，广汽集团相对温氏股份的比值是多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0047,hard,per share,未分配利润 / 股本,"corporate,year,未分配利润,股本
+广汽集团,2017,33554118636.0,7293424051.0
+广汽集团,2018,39243790071.0,10232497472.0
+广汽集团,2019,41558730939.0,10237707541.0
+温氏股份,2017,19928322400.14,5220356227.0
+温氏股份,2018,21017339687.84,5313109027.0
+��氏股份,2019,30942614557.42,5311509547.0
+","corporate,year,每股未分配利润
+广汽集团,2017,4.600598895850489
+广汽集团,2018,3.8352113136002153
+广汽集团,2019,4.0593786033216395
+温氏股份,2017,3.8174257720324722
+温氏股份,2018,3.955751628855103
+温氏股份,2019,5.8255782623786745
+"
+CN,fundamental,分别统计京沪高铁和华域汽车在2021-2025年的每股未分配利润的平均值，计算两者之比。按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0292,hard,per share,未分配利润 / 股本,"corporate,year,未分配利润,股本
+京沪高铁,2021,9870721754.4,49106484611.0
+京沪高铁,2022,6758979168.81,49106484611.0
+京沪高铁,2023,16527125060.57,49106484611.0
+京沪高铁,2024,22520251471.83,49106484611.0
+京沪高铁,2025,26714432724.03,48925679370.0
+华域汽车,2021,28125615757.53,3152723984.0
+华域汽车,2022,32108144584.16,3152723984.0
+华域汽车,2023,36386814975.59,3152723984.0
+华域汽车,2024,40065389628.9,3152723984.0
+华域汽车,2025,44577627260.77,3152723984.0
+","corporate,year,每股未分配利润
+京沪高铁,2021,0.20100648280143696
+京沪高铁,2022,0.13763923893863844
+京沪高铁,2023,0.3365568761741066
+京沪高铁,2024,0.4586003589999476
+京沪高铁,2025,0.546020680101391
+华域汽车,2021,8.921052366228961
+华域汽车,2022,10.184254868839796
+华域汽车,2023,11.541389338315764
+华域汽车,2024,12.708181823791397
+华域汽车,2025,14.139400558691596
+"
+CN,fundamental,"2018-2020年的每股经营现金流的复合年均增长率, 迈瑞医疗与春秋航空之比是多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",-1.0362,hard,per share,经营活动现金流净额 / 股本,"corporate,year,经营活动产生的现金流量净额,股本
+迈瑞医疗,2018,4034585376.0,1215691266.0
+迈瑞医疗,2019,4721794915.0,1215691266.0
+迈瑞医疗,2020,8870109849.0,1215691266.0
+春秋航空,2018,2895794003.0,916897713.0
+春秋航空,2019,3436309193.0,916742713.0
+春秋航空,2020,825762360.0,916462713.0
+","corporate,year,每股经营现金流
+春秋航空,2018,3.158251964142482
+春秋航空,2019,3.7483899727490932
+春秋航空,2020,0.9010321405187381
+迈瑞医疗,2018,3.318758215048326
+迈瑞医疗,2019,3.884041160002872
+迈瑞医疗,2020,7.296350724131961
+"
+CN,fundamental,温氏股份与三环集团在2016至2018年每股经营现金流复合年均增长率之比是多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-1.4799,hard,per share,经营活动现金流净额 / 股本,"corporate,year,经营活动产生的现金流量净额,股本
+温氏股份,2016,14652743719.86,4350296856.0
+温氏股份,2017,7994018444.96,5220356227.0
+温氏股份,2018,6494470882.53,5313109027.0
+三环集团,2016,948009171.79,1727950422.0
+三环集团,2017,977182883.78,1741133822.0
+三环集团,2018,1539470346.59,1743418022.0
+","corporate,year,每股经营现金流
+三环集团,2016,0.5486321596500064
+三环集团,2017,0.5612336463934361
+三环集团,2018,0.883018488488471
+温氏股份,2016,3.368216975733667
+温氏股份,2017,1.5313166568240018
+温氏股份,2018,1.2223485062185981
+"
+CN,fundamental,2022到2024年，招商蛇口的每股经营现金流平均值是科大讯飞的几倍？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,6.5662,hard,per share,经营活动现金流净额 / 股本,"corporate,year,经营活动产生的现金流量净额,股本
+招商蛇口,2022,22173990098.31,7739098182.0
+招商蛇口,2023,31430984938.66,9060836177.0
+招商蛇口,2024,31963589494.9,9060836177.0
+科大讯飞,2022,630761247.28,2323752783.0
+科大讯飞,2023,349757814.55,2315375793.0
+科大讯飞,2024,2495173454.92,2311652413.0
+","corporate,year,每股经营现金流
+招商蛇口,2022,2.8651904365140926
+招商蛇口,2023,3.4688834810240055
+招商蛇口,2024,3.5276644307990344
+科大讯飞,2022,0.2714407711071905
+科大讯飞,2023,0.1510587679146562
+科大讯飞,2024,1.0793895487435463
+"
+CN,fundamental,在2021-2023年间，每股经营现金流的最小值，中际旭创相对紫光国微的比值是多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.5169,hard,per share,经营活动现金流净额 / 股本,"corporate,year,经营活动产生的现金流量净额,股本
+中际旭创,2021,812760603.14,800096281.0
+中际旭创,2022,2448940873.28,800961788.0
+中际旭创,2023,1897126918.71,802826238.0
+紫光国微,2021,1192512797.99,606837179.0
+紫光国微,2022,1726500665.66,849608551.0
+紫光国微,2023,1769449193.94,849619317.0
+","corporate,year,每股经营现金流
+中际��创,2021,1.0158284976955168
+中际旭创,2022,3.057500257777591
+中际旭创,2023,2.363060434392529
+紫光国微,2021,1.9651281089189825
+紫光国微,2022,2.0321130991771295
+紫光国微,2023,2.0826376690538453
+"
+CN,fundamental,分别统计圣邦股份和万科A在2020-2022年的每股经营现金流的最大值，计算两者之比。按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.7061,hard,per share,经营活动现金流净额 / 股本,"corporate,year,经营活动产生的现金流量净额,股本
+圣邦股份,2020,324130609.27,156386783.0
+圣邦股份,2021,763146769.55,236088031.0
+圣邦股份,2022,947899907.97,358061233.0
+万科A,2020,53188022243.81,11617732201.0
+万科A,2021,4113160948.2,11625383375.0
+万科A,2022,2750449478.44,11630709471.0
+","corporate,year,每股经营现金流
+万科A,2020,4.578175957544608
+万科A,2021,0.3538086285434006
+万科A,2022,0.2364816596354649
+圣邦股份,2020,2.0726215032506934
+圣邦股份,2021,3.232467001048435
+圣邦股份,2022,2.647312304736436
+"
+CN,fundamental,"2020-2022年的权益乘数的平均值, 欧派家居与中国建筑之比是多少？（用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",0.4219,hard,solvency,平均总资产 / 平均股东权益,"corporate,year,资产合计,股东权益合计
+欧派家居,2019,14813874091.94,9558915785.15
+欧派家居,2020,18843631132.18,11925427990.33
+欧派家居,2021,23392733365.23,14408955672.04
+欧派家居,2022,28611007188.61,16513799774.99
+中国建筑,2019,2034451929000.0,501835320000.0
+中国建筑,2020,2192379494000.0,577148079000.0
+中国建筑,2021,2395321862000.0,641679058000.0
+中国建筑,2022,2652903306000.0,680386910000.0
+","corporate,year,权益乘数
+中国建筑,2020,3.91742025587921
+中国建筑,2021,3.7640295467100353
+中国建筑,2022,3.8184366666943808
+欧派家居,2020,1.5666061563645797
+欧派家居,2021,1.6038486048854381
+欧派家居,2022,1.6817304862408289
+"
+CN,fundamental,航发动力与京沪高铁在2020至2024年权益乘数平均值之比是多少？（用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.5371,hard,solvency,平均总资产 / 平均股东权益,"corporate,year,资产合计,股东权益合计
+航发动力,2019,63115020067.35,36545388462.81
+航发动力,2020,64352332318.09,37500838798.17
+航发动力,2021,90648498035.02,39937402611.27
+航发动力,2022,89969986822.74,41284696776.36
+航发动力,2023,99795552106.78,43855653459.66
+航发动力,2024,115913298911.68,45509464769.93
+京沪高铁,2019,315037065411.42,229686916597.01
+京沪高铁,2020,300863311434.6,208483458188.18
+京沪高铁,2021,295252254558.58,211104367198.46
+京沪高铁,2022,288545047112.67,207279492221.98
+京沪高铁,2023,292219725586.82,217911553928.0
+京沪高铁,2024,284662650232.54,225248350080.95
+","corporate,year,权益乘数
+京沪高铁,2020,1.4056184815049646
+京沪高铁,2021,1.4207170225777497
+京沪高铁,2022,1.395362867200342
+京沪高铁,2023,1.3658913515658408
+京沪高铁,2024,1.3017476775329144
+航发动力,2020,1.7214564077137153
+航发动力,2021,2.001605763921891
+航发动力,2022,2.2237603585665
+航发动力,2023,2.228855512145129
+航发动力,2024,2.4137924874029415
+"
+CN,fundamental,2022到2024年，新易盛的权益乘数最大值是同仁堂的几倍？（用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.9107,hard,solvency,平均总资产 / 平均股东权益,"corporate,year,资产合计,股东权益合计
+新易盛,2021,4864234763.02,3958723671.45
+新易盛,2022,5876061496.29,4829167615.85
+新易盛,2023,6439983560.34,5465978473.54
+新易盛,2024,12266549853.89,8328129817.86
+同仁堂,2021,25072835362.31,16672501298.25
+同仁堂,2022,27054123244.38,18463699667.91
+同仁堂,2023,30089450163.66,20257106172.96
+同仁堂,2024,31197524019.77,20901000931.83
+","corporate,year,权益乘数
+同仁堂,2022,1.4835684329359897
+同仁堂,2023,1.4757847148864005
+同仁堂,2024,1.4890620219095885
+新易盛,2022,1.2221699049499577
+新易盛,2023,1.1962962885318067
+新易盛,2024,1.3561248773066885
+"
+CN,fundamental,在2022-2024年间，权益乘数的最大值，中航沈飞相对巨化股份的比值是多少？（用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.2277,hard,solvency,平均总资产 / 平均股东权益,"corporate,year,资产合计,股东权益合计
+中航沈飞,2021,64041410809.23,12323249716.46
+中航沈飞,2022,58794291224.02,13813429737.29
+中航沈飞,2023,55466437662.06,16257606939.13
+中航沈飞,2024,61589834322.62,19050839874.99
+巨化股份,2021,17894390845.04,13632141263.76
+巨化股份,2022,22626691196.94,15784435523.8
+巨化股份,2023,23383806879.39,16376681704.27
+巨化股份,2024,28523635760.99,19272063071.85
+","corporate,year,权益乘数
+中航沈飞,2022,4.699743984334856
+中航沈飞,2023,3.7996937091190066
+中航沈飞,2024,3.3152484050323245
+巨化股份,2022,1.377491416986221
+巨化股份,2023,1.4306249919754765
+巨化股份,2024,1.4560805146539468
+"
+CN,fundamental,分别统计中国中冶和中际旭创在2022-2024年的权益乘数的最大值，计算两者之比。（用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.9982,hard,solvency,平均总资产 / 平均股东权益,"corporate,year,资产合计,股东权益合计
+中国中冶,2021,543470147000.0,151387759000.0
+中国中冶,2022,585392827000.0,161917562000.0
+中国中冶,2023,661602236000.0,167991165000.0
+中国中冶,2024,808015755000.0,182335866000.0
+中际旭创,2021,16564680790.78,11603040308.03
+中际旭创,2022,16556988219.94,12069000448.44
+中际旭创,2023,20006747461.32,14774499083.83
+中际旭创,2024,28866276555.26,20292841179.23
+","corporate,year,权益乘数
+中国中冶,2022,3.603076291193918
+中国中冶,2023,3.7798183586698513
+中国中冶,2024,4.194988855998383
+中际旭创,2022,1.3991894214556573
+中际旭创,2023,1.3621076356793491
+中际旭创,2024,1.393690643486382
+"
+CN,fundamental,"2020-2024年的EBIT的最大值, 龙芯中科与藏格矿业之比是多少？（指标单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",0.0387,hard,valuation,利润总额 + 利息支出,"corporate,year,利润总额,财务费用——利息费用
+龙芯中科,2020,96914012.61,0.0
+龙芯中科,2021,255284623.67,0.0
+龙芯中科,2022,33910949.51,421084.87
+龙芯中科,2023,-383512939.37,871954.15
+龙芯中科,2024,-665282805.83,0.0
+藏格矿业,2020,307438778.23,10285678.48
+藏格矿业,2021,1694922647.69,48022.18
+藏格矿业,2022,6593009612.4,550596.78
+藏格矿业,2023,3866309898.9,720163.87
+藏格矿业,2024,2708528965.76,4077771.03
+","corporate,year,EBIT
+藏格矿业,2020,317724456.71000004
+藏格矿业,2021,1694970669.8700001
+藏格矿业,2022,6593560209.179999
+藏格矿业,2023,3867030062.77
+藏格矿业,2024,2712606736.7900004
+龙芯中科,2020,96914012.61
+龙芯中科,2021,255284623.67
+龙芯中科,2022,34332034.379999995
+龙芯中科,2023,-382640985.22
+龙芯中科,2024,-665282805.83
+"
+CN,fundamental,大华股份与中国联通在2017至2019年EBIT平均值之比是多少？（指标单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.2485,hard,valuation,利润总额 + 利息支出,"corporate,year,利润总额,财务费用——利息费用
+大华股份,2017,2642207856.14,73301999.99
+大华股份,2018,2773155271.13,114335785.04
+大华股份,2019,3498563157.51,133656681.06
+中国联通,2017,2377866816.0,5257314297.0
+中国联通,2018,12075362887.0,1539367075.0
+中国联通,2019,14035186382.0,1877622806.0
+","corporate,year,EBIT
+中国联通,2017,7635181113.0
+中国联通,2018,13614729962.0
+中国联通,2019,15912809188.0
+大华股份,2017,2715509856.1299996
+大华股份,2018,2887491056.17
+大华股份,2019,3632219838.57
+"
+CN,fundamental,2020到2024年，迈瑞医疗的EBIT最小值是海光信息的几倍？（指标单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-181.4378,hard,valuation,利润总额 + 利息支出,"corporate,year,利润总额,财务费用——利息费用
+迈瑞医疗,2020,7438440275.0,0.0
+迈瑞医疗,2021,9017084833.0,8634183.0
+迈瑞医疗,2022,10953550653.0,10686780.0
+迈瑞医疗,2023,13010930027.0,12996889.0
+迈瑞医疗,2024,13019696199.0,19413638.0
+海光信息,2020,-82286857.41,41289668.89
+海光信息,2021,436705610.0,24590775.89
+海光信息,2022,1136511597.94,29490082.12
+海光信息,2023,1680172494.53,36235010.67
+海光信息,2024,2784425909.37,43831757.3
+","corporate,year,EBIT
+海光信息,2020,-40997188.519999996
+海光信息,2021,461296385.89
+海光信息,2022,1166001680.06
+海光信息,2023,1716407505.2
+海光信息,2024,2828257666.67
+迈瑞医疗,2020,7438440275.0
+迈瑞医疗,2021,9025719016.0
+迈瑞医疗,2022,10964237433.0
+迈瑞医疗,2023,13023926916.0
+迈瑞医疗,2024,13039109837.0
+"
+CN,fundamental,在2020-2022年间，EBIT的平均值，中国中冶相对三环集团的比值是多少？（指标单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,8.5778,hard,valuation,利润总额 + 利息支出,"corporate,year,利润总额,财务费用——利息费用
+中国中冶,2020,11917270000.0,2509970000.0
+中国中冶,2021,14012179000.0,2140452000.0
+中国中冶,2022,15392116000.0,2633074000.0
+三环集团,2020,1678604413.73,3375011.99
+三环集团,2021,2303528059.91,5621115.1
+三环集团,2022,1666317752.73,8899349.83
+","corporate,year,EBIT
+三环集团,2020,1681979425.72
+三环集团,2021,2309149175.0099998
+三环集团,2022,1675217102.56
+中国中冶,2020,14427240000.0
+中国中冶,2021,16152631000.0
+中国中冶,2022,18025190000.0
+"
+CN,fundamental,分别统计兆易创新和新和成在2022-2024年的EBIT的最大值，计算两者之比。（指标单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.3142,hard,valuation,利润总额 + 利息支出,"corporate,year,利润总额,财务费用——利息费用
+兆易创新,2022,2262426924.3,7888531.65
+兆易创新,2023,124747938.62,7114969.0
+兆易创新,2024,1123663188.35,19252836.87
+新和成,2022,4238102948.85,329243757.49
+新和成,2023,3253534539.28,319906196.3
+新和成,2024,6943581186.99,282180513.56
+","corporate,year,EBIT
+兆易创新,2022,2270315455.9500003
+兆易创新,2023,131862907.62
+兆易创新,2024,1142916025.2199998
+新和成,2022,4567346706.34
+新和成,2023,3573440735.5800004
+新和成,2024,7225761700.55
+"
+CN,fundamental,"2016-2018年的EBITDA的平均值, 宝丰能源与沪硅产业之比是多少？（指标单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",23.5266,hard,valuation,利润总额 + 利息支出 + 折旧与摊销,"corporate,year,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+宝丰能源,2016,1912070094.8,496335669.39,652280636.87,18853149.49,2117991.89
+宝丰能源,2017,3333821661.22,477597728.62,714504652.32,22544429.83,4515626.06
+宝丰能源,2018,4283309912.34,441109712.85,727378617.92,36790991.02,5440688.32
+沪硅产业,2016,-90656382.0,9854461.15,36129248.42,7859594.54,0.0
+沪硅产业,2017,225626347.11,31650109.18,82239340.07,12890570.7,85054.32
+沪硅产业,2018,35244799.32,49480022.9,142985131.42,14223448.44,424304.24
+","corporate,year,EBITDA
+宝丰能源,2016,3081657542.4399996
+宝丰能源,2017,4552984098.05
+宝丰能源,2018,5494029922.450001
+沪硅产业,2016,-36813077.88999999
+沪硅产业,2017,352491421.38
+沪硅产业,2018,242357706.32
+"
+CN,fundamental,寒武纪与万泰生物在2021至2025年EBITDA平均值之比是多少？（指标单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.005,hard,valuation,利润总额 + 利息支出 + 折旧与摊销,"corporate,year,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+寒武纪,2021,-823823025.91,3402646.44,128501817.63,125001489.06,9040636.98
+寒武纪,2022,-1322730889.12,4022428.34,171485883.02,183839200.25,11422970.93
+寒武纪,2023,-874738791.05,3412585.48,163680078.42,152184843.29,14367891.93
+寒武纪,2024,-455769055.47,1156889.77,119282138.35,83415742.73,6648473.44
+寒武纪,2025,2059381570.35,2087905.23,139627791.15,128041095.94,17514868.23
+万泰生物,2021,2324145348.95,5691148.31,92697965.33,12577830.61,5030229.39
+万泰生物,2022,5582691093.16,7669723.73,137164144.68,14736129.42,6633811.57
+万泰生物,2023,1393391827.77,6860370.34,203394222.76,28120375.92,24099528.66
+万泰生物,2024,67480832.88,8324928.73,269069617.97,31581210.67,17590376.96
+万泰生物,2025,-480885756.41,6457746.22,292446771.88,53278499.24,21725256.4
+","corporate,year,EBITDA
+万泰生物,2021,2440142522.5899997
+万泰生物,2022,5748894902.559999
+万泰生物,2023,1655866325.45
+万泰生物,2024,394046967.21000004
+万泰生物,2025,-106977482.66999999
+寒武纪,2021,-557876435.8
+寒武纪,2022,-951960406.58
+寒武纪,2023,-541093391.9300001
+寒武纪,2024,-245265811.18
+寒武纪,2025,2346653230.9
+"
+CN,fundamental,2017到2019年，广汽集团的EBITDA最大值是国投电力的几倍？（指标单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.6773,hard,valuation,利润总额 + 利息支出 + 折旧与摊销,"corporate,year,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+广汽集团,2017,11976494978.0,624920341.0,1212190176.0,1017747250.0,155069173.0
+广汽集团,2018,11867132091.0,438261748.0,1492340743.0,1509670270.0,111708356.0
+广汽集团,2019,6293959326.0,498754415.0,2188730709.0,2012659822.0,182559681.0
+国投电力,2017,7514331369.48,4903196579.66,6235786475.13,328441642.16,25760319.61
+国投电力,2018,9729172218.86,5026106016.39,6826719053.27,339100223.45,31056691.66
+国投电力,2019,10317072306.22,4873610844.96,7179415205.73,349319545.14,46767898.25
+","corporate,year,EBITDA
+国投电力,2017,19007516386.04
+国投电力,2018,21952154203.63
+国投电力,2019,22766185800.3
+广汽集团,2017,14986421918.0
+广汽集团,2018,15419113208.0
+广汽集团,2019,11176663953.0
+"
+CN,fundamental,在2017-2019年间，EBITDA的最小值，新易盛相对东方电气的比值是多少？（指标单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0424,hard,valuation,利润总额 + 利息支出 + 折旧与摊销,"corporate,year,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+新易盛,2017,127537388.64,1094877.0,46862283.6,421106.74,558250.0
+新易盛,2018,35510373.74,168846.79,53232699.65,675950.24,0.0
+新易盛,2019,243951193.07,0.0,33982678.41,868821.71,0.0
+东方电气,2017,1017278838.5,54964669.16,957904864.46,80668577.49,485304.3
+东方电气,2018,1275469723.33,37439485.33,876564378.6,97076505.97,13502706.59
+东方电气,2019,1578583920.06,49431576.08,934434701.4,94020732.21,15382294.69
+","corporate,year,EBITDA
+东方电气,2017,2111302253.9099998
+东方电气,2018,2300052799.8199997
+东方电气,2019,2671853224.44
+新易盛,2017,176473905.98000002
+新易盛,2018,89587870.42
+新易盛,2019,278802693.19
+"
+CN,fundamental,分别统计荣盛石化和山东黄金在2018-2022年的EBITDA的复合年均增长率，计算两者之比。（指标单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,7.0314,hard,valuation,利润总额 + 利息支出 + 折旧与摊销,"corporate,year,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+荣盛石化,2018,2293936063.93,1079978827.13,1576545521.77,55600070.73,1392625.49
+荣盛石化,2019,3144120793.75,823696757.58,1724868717.0,62745509.04,1678602.89
+荣盛石化,2020,16683037404.27,3302645684.24,5224829268.56,110634489.17,1418850.26
+荣盛石化,2021,32304212705.08,3597132178.72,6803570259.1,128891257.47,1405278.17
+荣盛石化,2022,5619069226.27,4577830003.95,11184822417.8,114444041.96,67861.04
+山东黄金,2018,1668805230.82,829121587.27,2032380407.55,406460993.26,13449222.77
+山东黄金,2019,2117441237.7,843709713.55,2244126448.27,400243911.54,12563505.83
+山东黄金,2020,3035556458.66,816252981.72,2150668410.13,484996835.97,15186437.89
+山东黄金,2021,22461370.5,731782011.07,1963044434.61,535776586.14,11025339.63
+山东黄金,2022,2006375741.12,1050999730.09,2456570818.39,779828676.95,14761771.44
+","corporate,year,EBITDA
+山东黄金,2018,4950217441.670001
+山东黄金,2019,5618084816.89
+山东黄金,2020,6502661124.370001
+山东黄金,2021,3264089741.95
+山东黄金,2022,6308536737.99
+荣盛石化,2018,5007453109.049999
+荣盛石化,2019,5757110380.26
+荣盛石化,2020,25322565696.5
+荣盛石化,2021,42835211678.54
+荣盛石化,2022,21496233551.02
+"
+CN,fundamental,"2020-2024年的NOPAT的最小值, 藏格矿业与大秦铁路之比是多少？（指标单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",0.0216,hard,valuation,EBIT × (1 - 实际税率) = (利润总额 + 利息支出) × (1 - 所得税费用 / 利润总额),"corporate,year,利润总额,财务费用——利息费用,所得税费用
+藏格矿业,2020,307438778.23,10285678.48,78551261.23
+藏格矿业,2021,1694922647.69,48022.18,267582716.63
+藏格矿业,2022,6593009612.4,550596.78,938037692.33
+藏格矿业,2023,3866309898.9,720163.87,453955472.43
+藏格矿业,2024,2708528965.76,4077771.03,139255274.32
+大秦铁路,2020,15494099601.0,666482811.0,3361733269.0
+大秦铁路,2021,18102710411.0,1568538538.0,4330450325.0
+大秦铁路,2022,16799810680.0,1350944850.0,3946892775.0
+大秦铁路,2023,17726904763.0,1637655786.0,4168376793.0
+大秦铁路,2024,13325765289.0,900739256.0,3051475356.0
+","corporate,year,NOPAT
+大秦铁路,2020,12654243293.247316
+大秦铁路,2021,14965579771.825813
+大秦铁路,2022,13886476174.31453
+大秦铁路,2023,14811098685.337652
+大秦铁路,2024,10968768341.517218
+藏格矿业,2020,236545182.76845515
+藏格矿业,2021,1427380371.8288953
+藏格矿业,2022,5655444179.2525625
+藏格矿业,2023,3412990033.659759
+藏格矿业,2024,2573141809.50687
+"
+CN,fundamental,TCL科技与中信建投在2017至2019年NOPAT平均值之比是多少？（指标单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留��位小数。注意列出原始数据和关键计算过程。,1.2471,hard,valuation,EBIT × (1 - 实际税率) = (利润总额 + 利息支出) × (1 - 所得税费用 / 利润总额),"corporate,year,利润总额,财务费用——利息费用,所得税费用
+TCL科技,2017,4789740000.0,1800106000.0,1245038000.0
+TCL科技,2018,4944380000.0,1782408000.0,879182000.0
+TCL科技,2019,4055803000.0,1958251000.0,398069000.0
+中信建投,2017,5355336978.6,0.0,1293689977.04
+中信建投,2018,4051442524.11,0.0,948014873.1
+中信建投,2019,7153739969.22,0.0,1624091521.47
+","corporate,year,NOPAT
+TCL科技,2017,4876891083.000748
+TCL科技,2018,5530668177.612562
+TCL科技,2019,5423786558.083813
+中信建投,2017,4061647001.5600004
+中信建投,2018,3103427651.01
+中信建投,2019,5529648447.75
+"
+CN,fundamental,2020到2024年，金山办公的NOPAT最大值是南山铝业的几倍？（指标单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.2719,hard,valuation,EBIT × (1 - 实际税率) = (利润总额 + 利息支出) × (1 - 所得税费用 / 利润总额),"corporate,year,利润总额,财务费用——利息费用,所得税费用
+金山办公,2020,935863143.87,3786.18,49289324.13
+金山办公,2021,1118710945.87,5917385.24,49759283.88
+金山办公,2022,1198242356.16,10327234.18,67317888.88
+金山办公,2023,1389839471.97,9274711.42,75377800.69
+金山办公,2024,1750422726.33,8664291.3,95138661.45
+南山铝业,2020,2606344989.17,309512509.96,385246279.98
+南山铝业,2021,4139353618.72,272142459.94,419868359.58
+南山铝业,2022,4255342296.69,291115416.21,311497419.97
+南山铝业,2023,4368205533.04,297748185.88,365519668.52
+南山铝业,2024,6653587405.95,179718981.53,697286983.35
+","corporate,year,NOPAT
+南山铝业,2020,2484861886.8226113
+南山铝业,2021,3964023407.2110353
+南山铝业,2022,4213650209.1011515
+南山铝业,2023,4275519284.5122447
+南山铝业,2024,6117185097.336386
+金山办公,2020,886577406.5123681
+金山办公,2021,1074605847.1128728
+金山办公,2022,1140671511.985481
+金山办公,2023,1323233369.68089
+金山办公,2024,1663477436.176337
+"
+CN,fundamental,在2019-2021年间，NOPAT的平均值，通威股份相对上海莱士的比值是多少？（指标单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,5.2351,hard,valuation,EBIT × (1 - 实际税率) = (利润总额 + 利息支出) × (1 - 所得税费用 / 利润总额),"corporate,year,利润总额,财务费用——利息费用,所得税费用
+通威股份,2019,3151521821.14,764775422.92,469185830.0
+通威股份,2020,4273792966.12,682296633.96,559054175.03
+通威股份,2021,10270447509.19,680586204.87,1648944454.0
+上海莱士,2019,733142254.05,1690588.85,127218871.51
+上海莱士,2020,1477234617.09,376158.6,158644260.29
+上海莱士,2021,1539036128.7,472086.56,250088519.88
+","corporate,year,NOPAT
+上海莱士,2019,607320611.125336
+上海莱士,2020,1318926118.7005465
+上海莱士,2021,1289342982.8020144
+通威股份,2019,3333254740.3859067
+通威股份,2020,4307784311.379291
+通威股份,2021,9192819547.422348
+"
+CN,fundamental,分别统计时代电气和沪电股份在2020-2024年的NOPAT的平均值，计算两者之比。（指标单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.7713,hard,valuation,EBIT × (1 - 实际税率) = (利润总额 + 利息支出) × (1 - 所得税费用 / 利润总额),"corporate,year,利润总额,财务费用——利息费用,所得税费用
+时代电气,2020,2836938297.0,16017904.0,340381369.0
+时代电气,2021,2123083462.0,21068951.0,88476513.0
+时代电气,2022,2941548573.0,20964320.0,349575746.0
+时代电气,2023,3294647776.0,47354497.0,209497353.0
+时代电气,2024,4316593933.0,39387935.0,367838088.0
+沪电股份,2020,1457469064.0,14881693.0,114656742.0
+沪电股份,2021,1199256168.0,19087545.0,135755340.0
+沪电股份,2022,1573295853.0,36637057.0,211720861.0
+沪电股份,2023,1705336361.0,87807738.0,215817841.0
+沪电股份,2024,2949759821.0,120347573.0,383444586.0
+","corporate,year,NOPAT
+时代电气,2020,2510652972.7555475
+时代电气,2021,2054797881.141857
+时代电气,2022,2610445732.1477513
+时代电气,2023,3129493781.1928673
+时代电气,2024,3984787341.3528748
+沪电股份,2020,1356523296.1991897
+沪电股份,2021,1080427670.1990616
+沪电股份,2022,1393281743.4648046
+沪电股份,2023,1566213801.3189373
+沪电股份,2024,2671018610.4702344
+"
+CN,fundamental,在长春高新、中国建筑、圆通速递、爱尔眼科中，2017年毛利率最低的那家公司，比第二名低出多少？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.2454,hard,profitability,(营业收入 - 营业成本) / 营业收入 * 100%,"corporate,year,营业收入,营业成本
+长春高新,2017,4102261578.1,740710339.88
+中国建筑,2017,1054106503000.0,943539121000.0
+圆通速递,2017,19982200966.66,17637372201.46
+爱尔眼科,2017,5962845559.96,3203073078.98
+","corporate,year,毛利率
+中国建筑,2017,10.48920404962154
+圆通速递,2017,11.734587041298965
+爱尔眼科,2017,46.28280999782448
+长春高新,2017,81.94385399911366
+"
+CN,fundamental,中国石油、龙佰集团、德赛西威、沪硅产业、用友网络里，2022年毛利率最高的企业与第二名相差多少？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,26.1874,hard,profitability,(营业收入 - 营业成本) / 营业收入 * 100%,"corporate,year,营业收入,营业成本
+中国石油,2022,3239167000000.0,2527935000000.0
+龙佰集团,2022,24112968453.5,16834114032.61
+德赛西威,2022,14932905788.5,11493212671.45
+沪硅产业,2022,3600360962.74,2782277461.59
+用友网络,2022,9261744112.0,4040544028.0
+","corporate,year,毛利率
+中国石油,2022,21.957250120169785
+德赛西威,2022,23.034318743904123
+沪硅产业,2022,22.722263395707127
+用友网络,2022,56.373832194685015
+龙佰集团,2022,30.18647179390919
+"
+CN,fundamental,2019年，在士兰微、兖矿能源、古井贡酒、软通动力、中航光电中，毛利率最低的公司与第二名之间的差距是多少？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,4.0524,hard,profitability,(营业收入 - 营业成本) / 营业收入 * 100%,"corporate,year,营业收入,营业成本
+士兰微,2019,3110573827.93,2504805451.16
+兖矿能源,2019,214688079000.0,181578603000.0
+古井贡酒,2019,10416961584.23,2426046924.89
+软通动力,2019,10604725119.66,7754609143.05
+中航光电,2019,9158826503.64,6165619617.44
+","corporate,year,毛利率
+中航光电,2019,32.68111788131817
+兖矿能源,2019,15.422130634463407
+古井贡酒,2019,76.7106088923018
+士兰微,2019,19.47448960480459
+软通动力,2019,26.8759062064343
+"
+CN,fundamental,对于2016年的毛利率，海康威视、中国核电、恒生电子、卓胜微、紫光股份中最高的那家公司领先第二名多少？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,33.3082,hard,profitability,(营业收入 - 营业成本) / 营业收入 * 100%,"corporate,year,营业收入,营业成本
+海康威视,2016,31934544088.82,18652707155.56
+中国核电,2016,30008741670.83,17705174432.87
+恒生电子,2016,2170166186.12,99498810.71
+卓胜微,2016,385209284.33,145967604.99
+紫光股份,2016,27709709064.34,22525182549.69
+","corporate,year,毛利率
+中国核电,2016,40.99994385942442
+卓胜微,2016,62.106934872069985
+恒生电子,2016,95.41515247328168
+海康威视,2016,41.590814311671515
+紫光股份,2016,18.710144168644625
+"
+CN,fundamental,对于古井贡酒、海康威视、上汽集团、中国巨石在2023年毛利率的值，计算最低的公司与第二名之间的差距。（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,18.5149,hard,profitability,(营业收入 - 营业成本) / 营业收入 * 100%,"corporate,year,营业收入,营业成本
+古井贡酒,2023,20253526598.02,4239850906.91
+海康威视,2023,89341177610.4,49732768547.57
+上汽集团,2023,726199110369.74,657301172463.53
+中国巨石,2023,14875802391.8,10710222075.86
+","corporate,year,毛利率
+上汽集团,2023,9.487472088905614
+中国巨石,2023,28.002390770101886
+古井贡酒,2023,79.06611035667986
+海康威视,2023,44.33387842228226
+"
+CN,fundamental,在中航成飞、中航光电、上港集团、申万宏源中，2018年EBIT利润率最高的那家公司，比第二名高出多少？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,7.7133,hard,profitability,(利润总额 + 利息支出) / 营业收入 * 100%,"corporate,year,营业收入,利润总额,财务费用——利息费用
+中航成飞,2018,1388338960.54,197233562.84,0.0
+中航光电,2018,7816018656.41,1114682363.53,57474712.88
+上港集团,2018,38042544621.37,14327764845.94,1523454505.24
+申万宏源,2018,15277425925.59,5187264565.62,0.0
+","corporate,year,EBIT利润率
+上港集团,2018,41.66708486234052
+中航光电,2018,14.996856173682513
+中航成飞,2018,14.206441542437535
+申万宏源,2018,33.95378639624903
+"
+CN,fundamental,福莱特、招商蛇口、石头科技里，2019年EBIT利润率最低的企业与第二名相差多少？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.6941,hard,profitability,(利润总额 + 利息支出) / 营业收入 * 100%,"corporate,year,营业收入,利润总额,财务费用——利息费用
+福莱特,2019,4806804020.96,862670244.12,65388264.94
+招商蛇口,2019,97672181191.74,26123711486.14,5021682731.13
+石头科技,2019,4204901983.0,925133097.0,0.0
+","corporate,year,EBIT利润率
+招商蛇口,2019,31.88768166867141
+石头科技,2019,22.0012999289929
+福莱特,2019,19.307184254095112
+"
+CN,fundamental,2023年，在陕西煤业、三花智控、中国人寿中，EBIT利润率最低的公司与第二名之间的差距是多少？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.4973,hard,profitability,(利润总额 + 利息支出) / 营业收入 * 100%,"corporate,year,营业收入,利润总额,财务费用——利息费用
+陕西煤业,2023,181471814714.54,44999935362.54,1035491266.42
+三花智控,2023,24557802066.59,3553263492.98,212081658.78
+中国人寿,2023,405040000000.0,51988000000.0,0.0
+","corporate,year,EBIT利润率
+三花智控,2023,15.332582050910068
+中国人寿,2023,12.83527552834288
+陕西煤业,2023,25.367810809284595
+"
+CN,fundamental,对于2025年的EBIT利润率，山西焦煤、石头科技、龙芯中科、潞安环能中最低的那家公司领先第二名多少？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,75.495,hard,profitability,(利润总额 + 利息支出) / 营业收入 * 100%,"corporate,year,营业收入,利润总额,财务费用——利息费用
+山西焦煤,2025,37154856324.57,3211851953.2,899797717.36
+石头科技,2025,18694776828.0,1446874526.0,10122182.0
+龙芯中科,2025,635320567.72,-445284645.62,348568.67
+潞安环能,2025,27820028155.61,1194463075.56,324983126.7
+","corporate,year,EBIT利润率
+山西焦煤,2025,11.066251029588889
+潞安环能,2025,5.461699009652507
+石头科技,2025,7.793603108531315
+龙芯中科,2025,-70.03331854134042
+"
+CN,fundamental,对于浪潮信息、复星医药、海大集团、温氏股份、盛美上海在2018年EBIT利润率的值，计算最低的公司与第二名之间的差距。（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.065,hard,profitability,(利润总额 + 利息支出) / 营业收入 * 100%,"corporate,year,营业收入,利润总额,财务费用——利息费用
+浪潮信息,2018,46940820299.58,789598514.53,418654368.51
+复星医药,2018,24918273561.4,3579592793.0,929657931.27
+海大集团,2018,42156628800.11,1766203052.64,189458281.87
+温氏股份,2018,57235997041.92,4283728473.93,296126252.81
+盛美上海,2018,550269055.81,102831670.32,5047846.77
+","corporate,year,EBIT利润率
+复星医药,2018,18.09616028638163
+浪潮信息,2018,2.5739918376560853
+海大集团,2018,4.639036351276972
+温氏股份,2018,8.001703409456965
+盛美上海,2018,19.604867101094857
+"
+CN,fundamental,在联影医疗、中微公司、荣盛石化、中航机载中，2024年EBITDA利润率最高的那家公司，比第二名高出多少？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,4.5641,hard,profitability,(利润总额 + 利息支出 + 折旧与摊销) / 营业收入 * 100%,"corporate,year,营业收入,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+联影医疗,2024,10300104386.97,1351707513.98,9073217.24,257357597.09,154966097.57,12028879.0
+中微公司,2024,9065165097.69,1708934664.34,15420779.75,122986156.95,135879497.98,1624212.8
+荣盛石化,2024,326475162608.88,1905716668.62,7077035657.42,15044994060.83,185023887.02,45701.13
+中航机载,2024,23879725151.63,1308469103.11,270623318.74,1327541244.48,199584847.25,8940267.87
+","corporate,year,EBITDA利润率
+中微公司,2024,21.895302406856125
+中航机载,2024,13.04520366825647
+联影医疗,2024,17.331215663583542
+荣盛石化,2024,7.4164343105105255
+"
+CN,fundamental,浪潮信息、中国中冶、深南电路里，2022年EBITDA利润率最高的企业与第二名相差多少？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,16.4512,hard,profitability,(利润总额 + 利息支出 + 折旧与摊销) / 营业收入 * 100%,"corporate,year,营业收入,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+浪潮信息,2022,69635317095.23,2168206595.74,361944723.03,244648513.64,125923887.33,33816070.47
+中国中冶,2022,592669072000.0,15392116000.0,2633074000.0,2961492000.0,897368000.0,72584000.0
+深南电路,2022,13992454035.04,1720463891.82,92011499.06,996178284.81,24422199.13,58514124.58
+","corporate,year,EBITDA利润率
+中国中冶,2022,3.704703862124258
+浪潮信息,2022,4.2141544156349
+深南电路,2022,20.66535285489493
+"
+CN,fundamental,2021年，在云南白药、卓胜微、立讯精密、中兴通讯中，EBITDA利润率最高的公司与第二名之间的差距是多少？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,40.5329,hard,profitability,(利润总额 + 利息支出 + 折旧与摊销) / 营业收入 * 100%,"corporate,year,营业收入,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+云南白药,2021,36373919016.03,3481646183.78,51659540.6,324952261.62,23254860.93,17472685.42
+卓胜微,2021,4633570865.7,2414969135.47,165437.72,47490684.84,3134177.84,1784861.09
+立讯精密,2021,153946097790.4,8142848949.83,656411767.86,4928152446.2,119810187.02,246064358.16
+中兴通讯,2021,114521641000.0,8498926000.0,1481221000.0,2076044000.0,2511827000.0,0.0
+","corporate,year,EBITDA利润率
+中兴通讯,2021,12.720755546979982
+云南白药,2021,10.719179120159463
+卓胜微,2021,53.25362163393231
+立讯精密,2021,9.154689798151448
+"
+CN,fundamental,对于2017年的EBITDA利润率，工业富联、金龙鱼、中远海控、上海莱士、格力电器中最低的那家公司领先第二名多少？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.6274,hard,profitability,(利润总额 + 利息支出 + 折旧与摊销) / 营业收入 * 100%,"corporate,year,营业收入,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+工业富联,2017,354543851000.0,20041268000.0,105882000.0,3686021000.0,0.0,0.0
+金龙鱼,2017,150766281000.0,5909753000.0,1319930000.0,1811962000.0,82330000.0,64872000.0
+中远海控,2017,90463957861.05,5703035934.32,1994137122.67,2204251853.65,130750530.09,1240959.78
+上海莱士,2017,1927748425.11,1004784096.99,70462293.52,118855557.07,24406042.23,8301309.89
+格力电器,2017,148286450009.18,26615728682.32,818839384.7,1947939761.97,84703931.72,355828.9
+","corporate,year,EBITDA利润率
+上海莱士,2017,63.639491736583665
+中远海控,2017,11.091065036001448
+工业富联,2017,6.7222068392324195
+格力电器,2017,19.8720568115197
+金龙鱼,2017,6.094762661154983
+"
+CN,fundamental,对于晶盛机电、中国动力、航发动力在2022年EBITDA利润率的值，计算最低的公司与第二名之间的差距。（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,4.325,hard,profitability,(利润总额 + 利息支出 + 折旧与摊销) / 营业收入 * 100%,"corporate,year,营业收入,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+晶盛机电,2022,10638310339.72,3419090777.16,11042697.77,336257188.37,11985977.0,55416262.72
+中国动力,2022,38280145315.05,468947926.95,211661663.59,1149335845.13,133498336.65,28194809.53
+航发动力,2022,37097148873.02,1557065684.01,150608102.93,1607734540.94,215511022.74,3606220.33
+","corporate,year,EBITDA利润率
+中国动力,2022,5.202797861550904
+晶盛机电,2022,36.037611054697855
+航发动力,2022,9.527755308226904
+"
+CN,fundamental,在中国铁建、北方华创、山东黄金中，2017年净利率最低的那家公司，比第二名低出多少？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.1464,hard,profitability,净利润 / 营业收入 * 100%,"corporate,year,营业收入,净利润
+中国铁建,2017,680981127000.0,16919190000.0
+北方华创,2017,2222818469.69,167383166.28
+山东黄金,2017,51041303382.75,1193391099.75
+","corporate,year,净利率
+中国铁建,2017,2.4845314105158747
+北方华创,2017,7.530222038479987
+山东黄金,2017,2.338088999806616
+"
+CN,fundamental,温氏股份、紫光国微、晶盛机电、古井贡酒、歌尔股份里，2021年净利率最高的企业与第二名相差多少？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,8.1476,hard,profitability,净利润 / 营业收入 * 100%,"corporate,year,营业收入,净利润
+温氏股份,2021,64954064169.73,-13547621047.51
+紫光国微,2021,5342115108.65,1983992310.11
+晶盛机电,2021,5961359500.88,1728261798.19
+古井贡酒,2021,13269826266.04,2374331639.47
+歌尔股份,2021,78221418618.02,4307066484.34
+","corporate,year,净利率
+古井贡酒,2021,17.892710815260365
+晶盛机电,2021,28.99106819400639
+歌尔股份,2021,5.506249516354046
+温氏股份,2021,-20.8572338323727
+紫光国微,2021,37.1387038609015
+"
+CN,fundamental,2024年，在中国化学、中国建筑、中国海油中，净利率最低的公司与第二名之间的差距是多少？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.49,hard,profitability,净利润 / 营业收入 * 100%,"corporate,year,营业收入,净利润
+中国化学,2024,185843681886.95,6241871890.11
+中国建筑,2024,2187334286000.0,62746463000.0
+中国海油,2024,420506000000.0,137982000000.0
+","corporate,year,净利率
+中国化学,2024,3.3586677936713354
+中国建筑,2024,2.8686270499030617
+中国海油,2024,32.813324899050194
+"
+CN,fundamental,对于2023年的净利率，中航沈飞、白云山、中国移动中最低的那家公司领先第二名多少？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.8663,hard,profitability,净利润 / 营业收入 * 100%,"corporate,year,营业收入,净利润
+中航沈飞,2023,46247778579.66,3009193742.51
+白云山,2023,75515403994.78,4259327960.32
+中国移动,2023,1009309000000.0,131935000000.0
+","corporate,year,净利率
+中国移动,2023,13.07181447901485
+中航沈飞,2023,6.506677369004396
+白云山,2023,5.640343208141251
+"
+CN,fundamental,对于圣邦股份、中海油服、京东方A、中国人寿、牧原股份在2020年净利率的值，计算最高的公司与第二名之间的差距。（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,30.2732,hard,profitability,净利润 / 营业收入 * 100%,"corporate,year,营业收入,净利润
+圣邦股份,2020,1196546817.33,283586476.92
+中海油服,2020,28959198513.0,2718315604.0
+京东方A,2020,135552569729.0,4528270416.0
+中国人寿,2020,825049000000.0,51373000000.0
+牧原股份,2020,56277065607.85,30374769876.15
+","corporate,year,净利率
+中国人寿,2020,6.226660477135297
+中海油服,2020,9.38670869216124
+京东方A,2020,3.340600938110601
+圣邦股份,2020,23.700407941646688
+牧原股份,2020,53.97362060027713
+"
+CN,fundamental,在广汽集团、海螺水泥、中国东航、三六零中，2025年净资产收益率最高的那家公司，比第二名高出多少？（单位：%；按归属于母公司的计算；所有者权益按期末值计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.321,hard,profitability,净利润 / 所有者权益 * 100%,"corporate,year,归属于母公司所有者的净利润,归属于母公司所有者权益合计
+广汽集团,2025,-8783621243.0,105231532870.0
+海螺水泥,2025,8113068470.0,192440369205.0
+中国东航,2025,-1633000000.0,37759000000.0
+三六零,2025,263013000.0,29392115000.0
+","corporate,year,净资产收益率
+三六零,2025,0.8948420350151732
+中国东航,2025,-4.324796737201727
+广汽集团,2025,-8.34694791897694
+海螺水泥,2025,4.215886980219536
+"
+CN,fundamental,金山办公、海尔智家、保利发展里，2023年净资产收益率最高的企业与第二名相差多少？（单位：%；按归属于母公司的计算；所有者权益按期末值计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.1439,hard,profitability,净利润 / 所有者权益 * 100%,"corporate,year,归属于母公司所有者的净利润,归属于母公司所有者权益合计
+金山办公,2023,1317737042.69,9948797727.75
+海尔智家,2023,16596615045.87,101265984771.17
+保利发展,2023,12067156751.87,198543096879.2
+","corporate,year,净资产收益率
+保利发展,2023,6.077852587950739
+海尔智家,2023,16.389131141491635
+金山办公,2023,13.245188803210464
+"
+CN,fundamental,2018年，在软通动力、潞安环能、宝信软件中，净资产收益率最高的公司与第二名之间的差距是多少？（单位：%；按归属于母公司的计算；所有者权益按期末值计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.051,hard,profitability,净利润 / 所有者权益 * 100%,"corporate,year,归属于母公司所有者的净利润,归属于母公司所有者权益合计
+软通动力,2018,306598915.57,2620341366.79
+潞安环能,2018,2346166445.03,24313381479.41
+宝信软件,2018,440045018.69,6896797570.37
+","corporate,year,净资产收益率
+宝信软件,2018,6.380425323493907
+潞安环能,2018,9.649692071902347
+软通动力,2018,11.700724167309286
+"
+CN,fundamental,对于2019年的净资产收益率，美的集团、福莱特、大华股份、巨化股份、中国石化中最低的那家公司领先第二名多少？（单位：%；按归属于母公司的计算；所有者权益按期末值计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.8181,hard,profitability,净利润 / 所有者权益 * 100%,"corporate,year,归属于母公司所有者的净利润,归属于母公司所有者权益合计
+美的集团,2019,24211222000.0,101669163000.0
+福莱特,2019,717243708.67,4512888388.0
+大华股份,2019,3188144692.55,15643007027.91
+巨化股份,2019,899057724.98,12901463602.63
+中国石化,2019,57619000000.0,739965000000.0
+","corporate,year,净资产收益率
+中国石化,2019,7.786719642145237
+大华股份,2019,20.380638369987075
+巨化股份,2019,6.968649082548469
+福莱特,2019,15.893229501912511
+美的集团,2019,23.813731996593695
+"
+CN,fundamental,对于宝信软件、深南电路、包钢股份在2018年净资产收益率的值，计算最低的公司与第二名之间的差距。（单位：%；按归属于母公司的计算；所有者权益按期末值计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0457,hard,profitability,净利润 / 所有者权益 * 100%,"corporate,year,归属于母公司所有者的净利润,归属于母公司所有者权益合计
+宝信软件,2018,440045018.69,6896797570.37
+深南电路,2018,697252358.02,3722440662.83
+包钢股份,2018,3323761818.81,52468957387.79
+","corporate,year,净资产收益率
+包钢股份,2018,6.334720536267925
+宝信软件,2018,6.380425323493907
+深南电路,2018,18.731053660098134
+"
+CN,fundamental,在中国海油、生益科技、星宇股份、恒力石化、德业股份中，2018年总资产收益率最低的那家公司，比第二名低出多少？（单位：%；总资产按期末值计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,4.9577,hard,profitability,净利润 / 总资产 * 100%,"corporate,year,净利润,资产合计
+中国海油,2018,52675361300.0,686380004000.0
+生益科技,2018,1064961688.49,12885924860.59
+星宇股份,2018,608270217.39,7248518403.28
+恒力石化,2018,3402466578.01,125242461878.59
+德业股份,2018,102658502.43,868188975.85
+","corporate,year,总资产收益率
+中国海油,2018,7.674372941085854
+德业股份,2018,11.824442061072274
+恒力石化,2018,2.7167036857741986
+星宇股份,2018,8.391648934970682
+生益科技,2018,8.264534366074514
+"
+CN,fundamental,牧原股份、招商蛇口、中国船舶里，2024年总资产收益率最高的企业与第二名相差多少？（单位：%；总资产按期末值计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,8.81,hard,profitability,净利润 / 总资产 * 100%,"corporate,year,净利润,资产合计
+牧原股份,2024,18925044904.25,187648723830.92
+招商蛇口,2024,4188901524.85,860308816014.37
+中国船舶,2024,5147658157.84,403639151728.16
+","corporate,year,总资产收益率
+中国船舶,2024,1.2753119056465585
+招商蛇口,2024,0.4869067301037667
+牧原股份,2024,10.085357639470184
+"
+CN,fundamental,2023年，在兖矿能源、三环集团、金山办公、东方盛虹中，总资产收益率最高的公司与第二名之间的差距是多少？（单位：%；总资产按期末值计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.7452,hard,profitability,净利润 / 总资产 * 100%,"corporate,year,净利润,资产合计
+兖矿能源,2023,27156335000.0,354464336000.0
+三环集团,2023,1583150590.62,21826964874.91
+金山办公,2023,1314461671.28,13974021307.95
+东方盛虹,2023,711193754.07,190214802161.82
+","corporate,year,总资产收益率
+三环集团,2023,7.253187054146151
+东方盛虹,2023,0.37388980562352425
+兖矿能源,2023,7.661231961006086
+金山办公,2023,9.406466773685151
+"
+CN,fundamental,对于2017年的总资产收益率，中国石油、紫光国微、江西铜业、时代电气中最高的那家公司领先第二名多少？（单位：%；总资产按期末值计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,4.2614,hard,profitability,净利润 / 总资产 * 100%,"corporate,year,净利润,资产合计
+中国石油,2017,36788000000.0,2404910000000.0
+紫光国微,2017,278733517.72,5207025172.45
+江西铜业,2017,1713255816.0,97469815440.0
+时代电气,2017,2562210015.0,26649648475.0
+","corporate,year,���资产收益率
+中国石油,2017,1.5297038142799524
+时代电气,2017,9.614423309949496
+江西铜业,2017,1.7577296194375556
+紫光国微,2017,5.353028043627661
+"
+CN,fundamental,对于紫光股份、藏格矿业、盐湖股份、拓普集团在2018年总资产收益率的值，计算最低的公司与第二名之间的差距。（单位：%；总资产按期末值计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,10.8435,hard,profitability,净利润 / 总资产 * 100%,"corporate,year,净利润,资产合计
+紫光股份,2018,2936746562.0,48600910041.36
+藏格矿业,2018,850169479.51,8905527973.8
+盐湖股份,2018,-3600558912.99,74997357044.98
+拓普集团,2018,755321659.21,10900694959.54
+","corporate,year,总资产收益率
+拓普集团,2018,6.929114721708293
+盐湖股份,2018,-4.8009143986641405
+紫光股份,2018,6.04257525116462
+藏格矿业,2018,9.546536510931105
+"
+CN,fundamental,在中联重科、中国铁建、领益智造、智飞生物、晶澳科技中，2023年投入资本回报率最高的那家公司，比第二名高出多少？（单位：%；投入资本用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,5.9044,hard,profitability,ROIC = NOPAT / 平均投入资本 * 100%；NOPAT = (利润总额 + 利息支出) × (1 - 所得税费用 / 利润总额)；投入资本 = 股东权益 + 有息负债（短期借款 + 长期借款 + 应付债券 + 一年内到期非流动负债 + 租赁负债 + 应付利息）- 金融资产（货币资金 + 交易性金融资产 + 其他权益工具投资 + 其他债权投资 + 债权投资 + 衍生金融资产 + 买入返售金融资产）,"corporate,year,利润总额,财务费用——利息费用,所得税费用,股东权益合计,短期借款,长期借款,应付债券,一年内到期的非流动负债,租赁负债,应付利息,货币资金,交易性金融资产,其他权益工具投资,其他债权投资,债权投资,衍生金融资产,买入返售金融资产
+中联重科,2022,2470660463.84,936568831.28,86022398.65,56975221403.56,6200631040.82,10936951171.44,25337499.98,4990727735.33,355356454.41,0.0,15498545905.21,4010628545.21,2185937691.85,0.0,0.0,0.0,0.0
+中联重科,2023,4227560155.81,690702595.56,456638461.05,59167277210.9,5654517982.93,14944417590.31,0.0,1890911644.97,307700152.43,0.0,15870434751.38,1767189362.07,2416787778.64,0.0,0.0,0.0,0.0
+中国铁建,2022,37824462000.0,6143183000.0,6030172000.0,385920052000.0,51367562000.0,133415428000.0,28096696000.0,45527795000.0,2451292000.0,0.0,158424810000.0,961298000.0,11940051000.0,4934663000.0,9076297000.0,0.0,0.0
+中国铁建,2023,38828152000.0,7459090000.0,6499423000.0,417119773000.0,81839758000.0,165621478000.0,31031549000.0,54468518000.0,4080407000.0,0.0,166957837000.0,1629785000.0,12575571000.0,5115845000.0,6016176000.0,0.0,0.0
+领益智造,2022,1998551852.12,356984687.94,408477300.02,17256920161.92,2026569733.73,3825229456.72,0.0,2777852994.67,531910359.32,0.0,2730704346.28,1196523810.09,112733160.0,0.0,0.0,0.0,0.0
+领益智造,2023,2521467061.64,348491418.36,474143234.55,18311776243.53,1486671071.34,3986349901.39,0.0,2172793696.83,487465994.29,0.0,3018148324.48,74296656.55,73833600.0,0.0,0.0,0.0,0.0
+智飞生物,2022,8718007864.78,53295566.36,1179008167.44,24236212609.17,1784915900.0,210642031.86,0.0,9805279.27,27764877.22,1422016.55,2622063766.18,0.0,284500000.0,0.0,0.0,0.0,0.0
+智飞生物,2023,9386873241.53,80996119.13,1279112076.61,31543973774.09,2635483275.35,328080291.01,0.0,46613063.67,25307401.72,0.0,6340512228.61,0.0,295000000.0,0.0,0.0,0.0,0.0
+晶澳科技,2022,6316546910.78,441407590.04,776089812.59,30193670627.99,1787142065.32,1776587646.24,0.0,1905042645.7,727474886.18,0.0,12183639319.53,0.0,32500800.0,0.0,0.0,0.0,0.0
+晶澳科技,2023,8042818848.91,506284435.17,850459295.18,38004130983.94,978591075.08,1476851872.71,8359739960.81,824307166.77,1153292043.48,0.0,15988433550.07,0.0,99664681.07,0.0,0.0,11847761.02,0.0
+","corporate,year,投入资本回报率
+中国铁建,2023,7.532286852137009
+中联重科,2023,7.330051234499864
+晶澳科技,2023,25.97252254401978
+智飞生物,2023,31.87688948432307
+领益智造,2023,10.207717170392199
+"
+CN,fundamental,中际旭创、宝钢股份、伊利股份里，2024年投入资本回报率最高的企业与第二名相差多少？（单位：%；投入资本用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,23.4803,hard,profitability,ROIC = NOPAT / 平均投入资本 * 100%；NOPAT = (利润总额 + 利息支出) × (1 - 所得税费用 / 利润总额)；投入资本 = 股东权益 + 有息负债（短期借款 + 长期借款 + 应付债券 + 一年内到期非流动负债 + 租赁负债 + 应付利息）- 金融资产（货币资金 + 交易性金融资产 + 其他���益工具投资 + 其他债权投资 + 债权投资 + 衍生金融资产 + 买入返售金融资产）,"corporate,year,利润总额,财务费用——利息费用,所得税费用,股东权益合计,短期借款,长期借款,应付债券,一年内到期的非流动负债,租赁负债,应付利息,货币资金,交易性金融资产,其他权益工具投资,其他债权投资,债权投资,衍生金融资产,买入返售金融资产
+中际旭创,2023,2492463352.08,41900489.99,284813195.68,14774499083.83,62195000.0,318721500.0,0.0,558964976.87,17040189.24,666261.13,3317278482.26,416038794.52,0.0,0.0,0.0,0.0,0.0
+中际旭创,2024,6052437364.28,53553117.97,680662225.35,20292841179.23,1425680649.39,606280785.01,0.0,644417035.66,23175094.35,6728512.99,5053805073.94,522545840.41,0.0,0.0,0.0,0.0,0.0
+宝钢股份,2023,15085835698.34,1455536119.08,1344919248.12,220137812311.31,3657718543.53,31149492394.84,500000000.0,10061540666.87,5492165156.47,0.0,25966142926.48,7733146.55,992155306.33,0.0,4501255535.48,47733020.89,0.0
+宝钢股份,2024,9339252721.6,1516411919.16,771603046.41,220163841711.33,3394355022.42,19237564735.18,5000000000.0,16124308024.47,5450845535.12,0.0,26152377125.8,7336310.68,1010638415.62,0.0,0.0,22583587.88,0.0
+伊利股份,2023,11721187786.65,2192827743.5,1436881588.37,57320357442.41,39754855129.21,11705395738.36,3541350000.0,2434948173.82,237516842.72,0.0,43371541992.39,11457348.28,2074350649.68,0.0,0.0,91460984.86,0.0
+伊利股份,2024,10126728993.52,1819520437.71,1663018637.87,57007650676.91,36354630548.02,4686530047.22,0.0,9229548555.95,262935213.16,0.0,25404255558.6,6121518.3,2094514752.71,0.0,0.0,528685.31,0.0
+","corporate,year,投入资本回报率
+中际旭创,2024,36.839031848515425
+伊利股份,2024,13.358748379499694
+宝钢股份,2024,4.135174896029447
+"
+CN,fundamental,2022年，在中国核电、中国广核、新奥股份中，投入资本回报率最低的公司与第二名之间的差距是多少？（单位：%；投入资本用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.1076,hard,profitability,ROIC = NOPAT / 平均投入资本 * 100%；NOPAT = (利润总额 + 利息支出) × (1 - 所得税费用 / 利润总额)；投入资本 = 股东权益 + 有息负债（短期借款 + 长期借款 + 应付债券 + 一年内到期非流动负债 + 租赁负债 + 应付利息）- 金融资产（货币资金 + 交易性金融资产 + 其他权益工具投资 + 其他债权投资 + 债权投资 + 衍生金融资产 + 买入返售金融资产）,"corporate,year,利润总额,财务费用——利息费用,所得税费用,股东权益合计,短期借款,长期借款,应付债券,一年内到期的非流动负债,租赁负债,应付利息,货币资金,交易性金融资产,其他权益工具投资,其他债权投资,债权投资,衍生金融资产,买入返售金融资产
+中国核电,2021,16836617583.99,7656208796.95,2504711729.81,125555427281.95,7530696658.38,176610972199.88,13781274969.58,32140053008.07,2893341029.98,0.0,13064063055.43,0.0,0.0,0.0,52579000.0,0.0,0.0
+中国核电,2022,19569774848.11,7640989321.4,3246915644.4,147961121740.26,15364517114.47,208511267907.01,8999285988.37,23419187470.4,2789770519.36,0.0,16161671502.14,1907551.66,0.0,0.0,50631184.72,0.0,0.0
+中国广核,2021,18165985817.29,7132079811.79,2442175526.17,150950296902.06,16374993758.88,155921820998.03,5988041567.89,22719658250.53,692172850.27,0.0,15827729811.43,0.0,590195970.13,0.0,37739834.23,0.0,0.0
+中国广核,2022,18700132726.93,6465851164.62,3458594950.96,157932951925.93,11930482045.91,160074949905.97,4492066733.52,21370443527.73,651291464.61,0.0,14840775400.46,0.0,569823570.13,0.0,48917096.53,0.0,0.0
+新奥股份,2021,14166910000.0,1225310000.0,3042750000.0,48383380000.0,7972340000.0,8956230000.0,9840960000.0,7842550000.0,323250000.0,0.0,11506040000.0,155100000.0,272780000.0,0.0,2930000.0,2816280000.0,0.0
+新奥股份,2022,14676790000.0,1371660000.0,3602720000.0,51562220000.0,7560230000.0,12112180000.0,14377730000.0,1949330000.0,309770000.0,0.0,9238090000.0,25600000.0,254980000.0,0.0,0.0,2896630000.0,0.0
+","corporate,year,投入资本回报率
+中国广核,2022,6.0578892163532005
+中国核电,2022,6.165523414634159
+新奥股份,2022,16.81555553851047
+"
+CN,fundamental,对于2025年的投入资本回报率，四川路桥、陕西煤业、中油资本、兖矿能源中最高的那家公司领先第二名多少？（单位：%；投入资本用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,52.1364,hard,profitability,ROIC = NOPAT / 平均投入资本 * 100%；NOPAT = (利润总额 + 利息支出) × (1 - 所得税费用 / 利润总额)；投入资本 = 股东权益 + 有息负债（短期借款 + 长期借款 + 应付债券 + 一年内到期非流动负债 + 租赁负债 + 应付利息）- 金融资产（货币资金 + 交易性金融资产 + 其他��益工具投资 + 其他债权投资 + 债权投资 + 衍生金融资产 + 买入返售金融资产）,"corporate,year,利润总额,财务费用——利息费用,所得税费用,股东权益合计,短期借款,长期借款,应付债券,一年内到期的非流动负债,租赁负债,应付利息,货币资金,交易性金融资产,其他权益工具投资,其他债权投资,债权投资,衍生金融资产,买入返售金融资产
+四川路桥,2024,9155041545.74,2973341682.92,1790483014.67,50659800991.25,846315584.96,52656794049.92,3698010632.81,12721780968.52,118761438.73,0.0,20776122120.1,19252858.0,8699518289.49,0.0,0.0,0.0,0.0
+四川路桥,2025,9360479595.2,2332952892.59,1900994885.05,55878472578.16,942827395.68,58604569742.88,6396158402.78,9569794755.98,72685914.14,0.0,26233117998.5,25965534.63,12032356787.33,0.0,0.0,0.0,0.0
+陕西煤业,2024,43835613323.87,860303301.9,7278359234.36,128646907756.6,1931796323.23,13874859276.08,0.0,2656987245.46,260103643.81,62719193.32,29701196404.91,5401621747.85,1731669270.7,0.0,0.0,0.0,0.0
+陕西煤业,2025,32337314938.72,482863640.23,5728227492.38,137407429775.23,1638732172.02,19822081010.44,0.0,3768077125.05,362547312.91,55000000.0,31797840554.32,2052961058.52,1635346270.7,0.0,0.0,0.0,0.0
+中油资本,2024,13484693996.28,70939209.51,3584657850.95,186304639355.3,43999156925.51,9134919081.03,8542862799.67,166593244.96,111526336.67,0.0,37691599665.57,57742897936.82,16645526701.76,50781905295.14,60733815117.01,276384188.21,11560641193.7
+中油资本,2025,10799970026.04,147131756.05,1683059029.32,191703563855.43,48075389186.98,5380854366.06,12199469948.07,4161425794.68,159923157.73,0.0,35334871614.82,65162751905.18,12942255701.67,67540324166.07,51061821217.69,8205643.8,17753423836.28
+兖矿能源,2024,28826542000.0,4407581000.0,6760688000.0,149620852000.0,8892716000.0,63659263000.0,15973544000.0,33592373000.0,344824000.0,0.0,41078591000.0,166772000.0,529280000.0,0.0,63999000.0,0.0,0.0
+兖矿能源,2025,18425048000.0,4095650000.0,4199347000.0,171096833000.0,20958181000.0,57099723000.0,22964152000.0,32074029000.0,425643000.0,0.0,37428025000.0,256537000.0,529761000.0,0.0,71761000.0,0.0,0.0
+","corporate,year,投入资本回报率
+中油资本,2025,74.8150203183641
+兖矿能源,2025,7.003093656467928
+四川路桥,2025,10.108105718088394
+陕西煤业,2025,22.67859226393102
+"
+CN,fundamental,对于招商公路、藏格矿业、浙能电力在2025年投入资本回报率的值，计算最高的公司与第二名之间的差距。（单位：%；投入资本用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,21.3234,hard,profitability,ROIC = NOPAT / 平均投入资本 * 100%；NOPAT = (利润总额 + 利息支出) × (1 - 所得税费用 / 利润总额)；投入资本 = 股东权益 + 有息负债（短期借款 + 长期借款 + 应付债券 + 一年内到期非流动负债 + 租赁负债 + 应付利息）- 金融资产（货币资金 + 交易性金融资产 + 其他权益工具投资 + 其他债权投资 + 债权投资 + 衍生金融资产 + 买入返售金融资产）,"corporate,year,利润总额,财务费用——利息费用,所得税费用,股东权益合计,短期借款,长期借款,应付债券,一年内到期的非流动负债,租赁负债,应付利息,货币资金,交易性金融资产,其他权益工具投资,其他债权投资,债权投资,衍生金融资产,买入返售金融资产
+招商公路,2024,6418196812.34,1840464426.97,482056401.49,88781850494.34,2443192965.85,38349286765.94,9500000000.0,7124895217.05,149922713.2,0.0,9249724836.53,0.0,887816298.9,0.0,0.0,0.0,0.0
+招商公路,2025,5640193566.67,1546063269.82,533421764.06,91631266021.44,920619426.73,36936423698.87,11503964794.51,5042601571.13,112792035.16,0.0,10074028504.63,0.0,1236254386.27,0.0,0.0,0.0,0.0
+藏格矿业,2024,2708528965.76,4077771.03,139255274.32,13846960638.38,20000000.0,0.0,0.0,8368798.51,6771356.66,0.0,887987569.99,159216834.47,138890000.0,0.0,0.0,0.0,0.0
+藏格矿业,2025,4055322495.43,18805450.47,218058785.86,16215341911.0,0.0,230291416.67,0.0,4243322.78,6615614.69,0.0,1971890185.74,314498978.06,132240000.0,0.0,238250425.0,0.0,0.0
+浙能电力,2024,10041540398.71,1384288107.0,1142931758.39,86838966302.78,10774025478.39,27356749518.55,0.0,7842559005.55,2204719306.0,0.0,16232092771.66,145175426.49,8864485389.6,0.0,0.0,0.0,0.0
+浙能电力,2025,9079644883.05,1241516713.01,1440452098.27,89871643186.27,11738757469.92,25137149980.23,0.0,8477278448.83,2828746187.63,0.0,14681292892.22,144239611.52,9661842267.02,0.0,0.0,0.0,0.0
+","corporate,year,投入资本回报率
+招商公路,2025,4.801062695716296
+浙能电力,2025,7.776207074806465
+藏格矿业,2025,29.099587840975154
+"
+CN,fundamental,在天赐材料、领益智造、天孚通信、澜起科技中，2025年存货周转天数最低的那家公司，比第二名低出多少？（存货用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,12.9506,hard,operational efficiency,平均存货 / 营业成本 * 365,"corporate,year,营业成本,存货
+天赐材料,2024,10154135596.71,1363690318.78
+天赐材料,2025,12946736447.91,1619109691.52
+领益智造,2024,37279852080.03,5859233677.83
+领益智造,2025,43301912696.09,7189891213.02
+天孚通信,2024,1391184704.84,350132322.01
+天孚通信,2025,2377104884.16,457195929.7
+澜起科技,2024,1523614938.54,352196407.33
+澜起科技,2025,2060961088.35,896135474.27
+","corporate,year,存货周转天数
+天孚通信,2025,61.98187001291691
+天赐材料,2025,42.04619473563368
+澜起科技,2025,110.54093630384479
+领益智造,2025,54.996769064087154
+"
+CN,fundamental,北方稀土、龙芯中科、今世缘、德业股份里，2019年存货周转天数最低的企业与第二名相差多少？（存货用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,179.709,hard,operational efficiency,平均存货 / 营业成本 * 365,"corporate,year,营业成本,存货
+北方稀土,2018,11931892548.42,9565792635.96
+北方稀土,2019,16029297754.29,9334821182.12
+龙芯中科,2018,72172960.88,93670643.61
+龙芯中科,2019,207414977.91,152493367.78
+今世缘,2018,1013543618.65,1967615543.22
+今世缘,2019,1325123027.81,2150912374.89
+德业股份,2018,1366292779.29,199707204.45
+德业股份,2019,2026146599.56,194221274.06
+","corporate,year,存货周转天数
+今世缘,2019,567.2162729654458
+北方稀土,2019,215.1910878863318
+德业股份,2019,35.482105462500655
+龙芯中科,2019,216.5944452582807
+"
+CN,fundamental,2025年，在海光信息、中煤能源、纳思达、宁沪高速中，存货周转天数最低的公司与第二名之间的差距是多少？（存货用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,24.7997,hard,operational efficiency,平均存货 / 营业成本 * 365,"corporate,year,营业成本,存货
+海光信息,2024,3324009349.21,5425282266.87
+海光信息,2025,6062959699.77,6406063056.89
+中煤能源,2024,142311671000.0,7743353000.0
+中煤能源,2025,107357222000.0,6995004000.0
+纳思达,2024,17891054250.01,6232625939.37
+纳思达,2025,11665094965.44,4585870461.14
+宁沪高速,2024,17101001522.62,1999541489.81
+宁沪高速,2025,14188011306.93,1876223486.59
+","corporate,year,存货周转天数
+中煤能源,2025,25.054207834289898
+宁沪高速,2025,49.853858507112456
+海光信息,2025,356.13308161492654
+纳思达,2025,169.25499526086395
+"
+CN,fundamental,对于2025年的存货周转天数，中国神华、昆仑万维、东方盛虹中最高的那家公司领先第二名多少？（存货用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,31.8567,hard,operational efficiency,平均存货 / 营业成本 * 365,"corporate,year,营业成本,存货
+中国神华,2024,223923000000.0,12666000000.0
+中国神华,2025,191465000000.0,11850000000.0
+昆仑万维,2024,1497047137.5,0.0
+昆仑万维,2025,2573623637.07,15310866.38
+东方盛虹,2024,126062118131.07,16873219225.01
+东方盛虹,2025,112064001076.77,17037492920.06
+","corporate,year,存货周转天数
+东方盛虹,2025,55.22473682012899
+中国神华,2025,23.36808293944063
+昆仑万维,2025,1.0857194012762323
+"
+CN,fundamental,对于中国中车、洛阳钼业、合盛硅业在2019年存货周转天数的值，计算最低的公司与第二名之间的差距。（存货用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,44.0634,hard,operational efficiency,平均存货 / 营业成本 * 365,"corporate,year,营业成本,存货
+中国中车,2018,170526021000.0,55121500000.0
+中国中车,2019,176149897000.0,60833768000.0
+洛阳钼业,2018,16180247120.46,6615914805.21
+洛阳钼业,2019,65605691676.4,20730673736.79
+合盛硅业,2018,6552722783.1,2422767802.33
+合盛硅业,2019,6452150110.91,2448543379.68
+","corporate,year,存货周转天数
+中国中车,2019,120.135389065825
+合盛硅业,2019,137.78574202940237
+洛阳钼业,2019,76.07194256150642
+"
+CN,fundamental,在青岛港、中国交建、时代电气中，2025年应收账款周转天数最高的那家公司，比第二名高出多少？（使用应收票据及应收账款，用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,131.2134,hard,operational efficiency,平均应收票据及应收账款 / 营业收入 * 365,"corporate,year,营业收入,应收票据及应收账款
+青岛港,2024,18940998482.0,2125280395.0
+青岛港,2025,18806323315.0,1998224189.0
+中国交建,2024,771944258710.0,139770929904.0
+中国交建,2025,731108751343.0,159575537423.0
+时代电气,2024,24908937548.0,14836974169.0
+时代电气,2025,28702700063.0,17551708071.0
+","corporate,year,应收账款周转天数
+中国交建,2025,74.7231245513398
+时代电气,2025,205.9365319578297
+青岛港,2025,40.015242425390575
+"
+CN,fundamental,中国海油、中国能建、南山铝业、海康威视、龙芯中科里，2020年应收账款周转天数最高的企业与第二名相差多少？（使用应收票据及应收账款，用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,55.0584,hard,operational efficiency,平均应收票据及应收账款 / 营业收入 * 365,"corporate,year,营业收入,应收票据及应收账款
+中国海油,2019,233198556200.0,24794144300.0
+中国海油,2020,155372671400.0,18982421800.0
+中国能建,2019,246916789106.26,52727303125.69
+中国能建,2020,270327662000.0,59677982000.0
+南山铝业,2019,21509009121.49,2765972822.78
+南山铝业,2020,22298992578.49,3646812209.44
+海康威视,2019,57658110065.22,22281163989.3
+海康威视,2020,63503450891.78,23282633422.05
+龙芯中科,2019,485629263.56,118537241.83
+龙芯中科,2020,1082320993.24,325890274.65
+","corporate,year,应收账款周转天数
+中国海油,2020,51.419746093456176
+中国能建,2020,75.88555452914923
+南山铝业,2020,52.483683478556515
+海康威视,2020,130.94395518350854
+龙芯中科,2020,74.93897121481282
+"
+CN,fundamental,2024年，在卓胜微、中国动力、片仔癀、长电科技中，应收账款周转天数最低的公司与第二名之间的差距是多少？（使用应收票据及应收账款，用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,13.6528,hard,operational efficiency,平均应收票据及应收账款 / 营业收入 * 365,"corporate,year,营业收入,应收票据及应收账款
+卓胜微,2023,4378236624.12,518116770.1
+卓胜微,2024,4486931811.79,578978664.35
+中国动力,2023,45102804284.07,18556939215.18
+中国动力,2024,51696616588.62,17858281464.0
+片仔癀,2023,10058497338.92,968483508.82
+片仔癀,2024,10787863091.37,862208520.28
+长电科技,2023,29660960881.35,4184804015.74
+长电科技,2024,35961679888.59,5795364187.75
+","corporate,year,应收账款周转天数
+中国动力,2024,128.55343758441026
+卓胜微,2024,44.62290161419904
+片仔癀,2024,30.970108953090254
+长电科技,2024,50.64782020138099
+"
+CN,fundamental,对于2018年的应收账款周转天数，长电科技、华东医药、潞安环能、软通动力中最高的那家公司领先第二名多少？（使用应收票据及应收账款，用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,60.5452,hard,operational efficiency,平均应收票据及应收账款 / 营业收入 * 365,"corporate,year,营业收入,应收票据及应收账款
+长电科技,2017,23855512379.95,2978682403.98
+长电科技,2018,23856487366.62,2870705708.89
+华东医药,2017,27831823148.07,5850896964.15
+华东医药,2018,30663374326.27,6272866055.1
+潞安环能,2017,23543556034.52,16151951463.84
+潞安环能,2018,26682190404.55,11417186611.22
+软通动力,2017,7008791219.53,2512260961.47
+软通动力,2018,8139253067.76,3197318450.46
+","corporate,year,应收账款周转天数
+华东医药,2018,72.15731469962691
+潞安环能,2018,188.56651655706915
+软通动力,2018,128.02135945430098
+长电科技,2018,44.747297210755335
+"
+CN,fundamental,对于上海机场、恒瑞医药、中国石化在2017年应收账款周转天数的值，计算最高的公司与第二名之间的差距。（使用应收票据及应收账款，用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,50.366,hard,operational efficiency,平均应收票据及应收账款 / 营业收入 * 365,"corporate,year,营业收入,应收票据及应收账款
+上海机场,2016,6951474481.18,1029260090.05
+上海机场,2017,8062379029.93,1188793935.53
+恒瑞医药,2016,11093724121.18,3447299668.32
+恒瑞医药,2017,13835629369.98,4177376321.82
+中国石化,2016,1930911000000.0,63486000000.0
+中国石化,2017,2360193000000.0,84701000000.0
+","corporate,year,应收账款周转天数
+上海机场,2017,50.20786769830946
+中国石化,2017,11.45843899206548
+恒瑞医药,2017,100.57391181783021
+"
+CN,fundamental,在北新建材、华能国际、福莱特、青岛港、广汽集团中，2025年应付账���周转天数最高的那家公司，比第二名高出多少？（使用应付票据及应付账款，用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,6.4415,hard,operational efficiency,平均应付票据及应付账款 / 营业成本 * 365,"corporate,year,营业成本,应付票据及应付账款
+北新建材,2024,18106329058.39,2348866261.63
+北新建材,2025,17995772075.36,2890093792.9
+华能国际,2024,208363182422.0,19174888119.0
+华能国际,2025,186990711967.0,21295391819.0
+福莱特,2024,15787606518.28,4898265865.84
+福莱特,2025,12934724797.63,4115244455.93
+青岛港,2024,12227050017.0,2098797541.0
+青岛港,2025,11911816346.0,1795009297.0
+广汽集团,2024,100599931912.0,35495774585.0
+广汽集团,2025,96935014040.0,28631578907.0
+","corporate,year,应付账款周转天数
+北新建材,2025,53.1297132430812
+华能国际,2025,39.49835802533575
+广汽集团,2025,120.73286549956742
+福莱特,2025,127.17438209620266
+青岛港,2025,59.65670786837028
+"
+CN,fundamental,中国动力、保利发展、华东医药里，2025年应付账款周转天数最低的企业与第二名相差多少？（使用应付票据及应付账款，用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,42.6474,hard,operational efficiency,平均应付票据及应付账款 / 营业成本 * 365,"corporate,year,营业成本,应付票据及应付账款
+中国动力,2024,44042504140.9,18849617989.29
+中国动力,2025,48031816022.46,16821445845.86
+保利发展,2024,268259816732.83,145837633871.33
+保利发展,2025,268856981959.45,126954137727.31
+华东医药,2024,27988547185.82,7044456734.27
+华东医药,2025,29499479451.02,7969901859.1
+","corporate,year,应付账款周转天数
+中国动力,2025,135.534520428517
+保利发展,2025,185.1709334603052
+华东医药,2025,92.88707781571651
+"
+CN,fundamental,2021年，在中国电信、铜陵有色、中国卫通、海康威视中，应付账款周转天数最低的公司与第二名之间的差距是多少？（使用应付票据及应付账款，用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,21.5911,hard,operational efficiency,平均应付票据及应付账款 / 营业成本 * 365,"corporate,year,营业成本,应付票据及应付账款
+中国电信,2020,272195547456.69,107577826551.4
+中国电信,2021,307334882620.92,114893639943.27
+铜陵有色,2020,95069345509.91,10065323938.48
+铜陵有色,2021,123434991691.81,9166170475.18
+中国卫通,2020,1733559444.2,180942824.9
+中国卫通,2021,1645284373.76,270046091.54
+海康威视,2020,33957697857.73,14630805020.04
+海康威视,2021,45329400332.65,17229693364.46
+","corporate,year,应付账款周转天数
+中国卫通,2021,50.02507685781135
+中国电信,2021,132.10684803832157
+海康威视,2021,128.27306146786006
+铜陵有色,2021,28.433977127458455
+"
+CN,fundamental,对于2018年的应付账款周转天数，新易盛、恒生电子、片仔癀、北方华创、福耀玻璃中最高的那家公司领先第二名多少？（使用应付票据及应付账款，用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,110.3018,hard,operational efficiency,平均应付票据及应付账款 / 营业成本 * 365,"corporate,year,营业成本,应付票据及应付账款
+新易盛,2017,666784761.79,179248910.39
+新易盛,2018,611693291.19,159526876.39
+恒生电子,2017,89757267.86,43383288.29
+恒生电子,2018,94458657.55,135047896.52
+片仔癀,2017,2107192833.13,222098725.22
+片仔癀,2018,2744358014.44,250094018.58
+北方华创,2017,1409548683.35,1063267121.17
+北方华创,2018,2048305426.87,1567972739.14
+福耀玻璃,2017,10712611816.0,2401097118.0
+福耀玻璃,2018,11603054947.0,2465349981.0
+","corporate,year,应付账款周转天数
+北方华创,2018,234.43831579373733
+恒生电子,2018,344.74014423281415
+新易盛,2018,101.07447960900693
+片仔癀,2018,31.40085050495297
+福耀玻璃,2018,76.54247951287411
+"
+CN,fundamental,对于宝丰能源、中国广核、晶澳科技、山西汾酒在2025年应付账款周转天数的值，计算最低的公司与第二名之间的差距。（使用应付票据及应付账款，用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,133.5327,hard,operational efficiency,平均应付票据及应付账款 / 营业成本 * 365,"corporate,year,营业成本,应付票据及应付账款
+宝丰能源,2024,22050165282.59,1489153928.55
+宝丰能源,2025,30784448772.5,2409435150.65
+中国广核,2024,49395836080.96,27265403775.92
+中国广核,2025,51478963727.86,26923002849.87
+晶澳科技,2024,66979216270.41,24159708662.19
+晶澳科技,2025,50161114115.39,18894966688.96
+山西汾酒,2024,8569676942.47,4586642761.94
+山西汾酒,2025,9736672076.79,4217501613.9
+","corporate,year,应付账款周转天数
+中国广核,2025,192.10534737035937
+宝丰能源,2025,23.112075587644828
+山西汾酒,2025,165.02110124679456
+晶澳科技,2025,156.64481122786924
+"
+CN,fundamental,在中国能建、招商公路、立讯精密、豪威集团、上港集团中，2024年营业周期最高的那家公司，比第二名高出多少？（计算应收账款周转天数时，使用应收票据及应收账款；存货和应收票据及应收账款都用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,28.0145,hard,operational efficiency,存货周转天数 + 应收账款周转天数,"corporate,year,营业成本,存货,营业收入,应收票据及应收账款
+中国能建,2023,354726606000.0,67957770000.0,406031848000.0,83447301000.0
+中国能建,2024,382529764000.0,74877095000.0,436712757000.0,89428635000.0
+招商公路,2023,6134765286.55,367486951.61,9731355008.25,1895973595.38
+招商公路,2024,8378269809.08,338706278.75,12711004049.53,1739920473.2
+立讯精密,2023,205041300458.59,29757930319.35,231905459829.83,23765555238.13
+立讯精密,2024,240809417980.59,31702675549.03,268794737612.58,32910872432.24
+豪威集团,2023,16446397811.26,6321611109.99,21020641622.86,4056901150.48
+豪威集团,2024,18154402520.87,6956198221.34,25730639138.12,3988335100.83
+上港集团,2023,23506847972.95,10282280266.54,37551570005.56,2826045063.11
+上港集团,2024,24583672965.35,7457725799.07,38116972285.82,3613142659.64
+","corporate,year,营业周期
+上港集团,2024,162.52531913523543
+中国能建,2024,140.38862419466076
+招商公路,2024,67.58553486206024
+立讯精密,2024,85.05942212089903
+豪威集团,2024,190.53981603289205
+"
+CN,fundamental,华域汽车、山东黄金、康龙化成里，2024年营业周期最低的企业与第二名相差多少？（计算应收账款周转天数时，使用应收票据及应收账款；存货和应收票据及应收账款都用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,72.9228,hard,operational efficiency,存货周转天数 + 应收账款周转天数,"corporate,year,营业成本,存货,营业收入,应收票据及应收账款
+华域汽车,2023,146444120598.04,22813266822.19,168594051304.15,40011036602.9
+华域汽车,2024,149019701336.97,21285282137.26,169603589952.76,46639717476.45
+山东黄金,2023,49436660022.73,8848047161.2,59275274514.67,713175025.18
+山东黄金,2024,68902025733.03,6819745616.21,82517993538.3,616935590.71
+康龙化成,2023,7413512033.14,1013079365.83,11537996314.78,2242153239.78
+康龙化成,2024,8072643718.49,1116665159.58,12275774875.03,2413629026.39
+","corporate,year,营业周期
+华域汽车,2024,147.2457337517885
+山东黄金,2024,44.44082613301324
+康龙化成,2024,117.36361317068685
+"
+CN,fundamental,2020年，在南方航空、分众传媒、卓胜微、新希望中，营业周期最高的公司与第二名之间的差距是多少？（计算应收账款周转天数时，使用应收票据及应收账款；存货和应收票据及应收账款都用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,66.6108,hard,operational efficiency,存货周转天数 + 应收账款周转天数,"corporate,year,营业成本,存货,营业收入,应收票据及应收账款
+南方航空,2019,135668000000.0,1893000000.0,154322000000.0,3198000000.0
+南方航空,2020,94903000000.0,1760000000.0,92561000000.0,2556000000.0
+分众传媒,2019,6649604127.87,4190856.88,12135948050.91,4169529889.65
+分众传媒,2020,4446949111.19,4568164.6,12097106052.76,3618913011.41
+卓胜微,2019,718905369.51,366108599.0,1512394554.11,378300083.87
+卓胜微,2020,1323356287.55,632164172.43,2792147535.48,337712320.52
+新希望,2019,72150061066.97,9307812126.89,82050539486.67,958141417.72
+新希望,2020,98175150554.22,15649735402.26,109825224396.56,890456970.83
+","corporate,year,营业周期
+分众传媒,2020,117.85788322806332
+卓胜微,2020,184.46864475057853
+南方航空,2020,18.369782846827984
+新希望,2020,49.46602117188404
+"
+CN,fundamental,对于2018年的营业周期，海尔智家、中国联通、大全能源中最高的那家公司领先第二名多少？（计算应收账款周转天数时，使用应收票据及应收账款；存货和应收票据及应收账款都用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,25.0037,hard,operational efficiency,存货周转天数 + 应收账款周转天数,"corporate,year,营业成本,存货,营业收入,应收票据及应收账款
+海尔智家,2017,112607222004.03,22537617217.87,163428825488.56,25924283460.99
+海尔智家,2018,130455086874.95,22410973571.32,184108481959.27,24833685135.95
+中国联通,2017,206976717931.0,2238565451.0,274828946271.0,18612629753.0
+中国联通,2018,213585637513.0,2388327329.0,290876776866.0,18206026524.0
+大全能源,2017,1196225177.23,138452688.97,2201388649.24,564715682.91
+大全能源,2018,1340966140.41,140742522.43,1993708983.68,529931059.97
+","corporate,year,营业周期
+中国联通,2018,27.0540063834345
+大全能源,2018,138.1990254272779
+海尔智家,2018,113.19529812833667
+"
+CN,fundamental,对于顺丰控股、德业股份、传音控股、长江电力、洋河股份在2022年营业周期的值，计算最高的公司与第二名之间的差距。（计算应收账款周转天数时，使用应收票据及应收账款；存货和应收票据及应收账款都用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,740.8703,hard,operational efficiency,存货周转天数 + 应收账款周转天数,"corporate,year,营业成本,存货,营业收入,应收票据及应收账款
+顺丰控股,2021,181548507000.0,1546821000.0,207186647000.0,30759013000.0
+顺丰控股,2022,234072360000.0,1948354000.0,267490414000.0,25796677000.0
+德业股份,2021,3211397219.6,455928985.24,4167929962.44,275818878.55
+德业股份,2022,3690372469.13,865454605.18,5955519968.69,558605243.13
+传音控股,2021,38888504915.53,7578806537.23,49411901654.03,1230295045.93
+传音控股,2022,36659389078.46,6083865190.42,46595902507.63,1287383694.85
+长江电力,2021,21113077634.36,470031320.31,55646253991.83,3768783444.57
+长江电力,2022,29524219483.64,567385580.82,68863128424.25,15227946749.37
+洋河股份,2021,6255397564.1,16803093441.81,25350178204.45,665097278.19
+洋河股份,2022,7645533264.72,17729258966.54,30104896186.7,571147622.78
+","corporate,year,营业周期
+传音控股,2022,77.87721823476606
+德业股份,2022,90.91634551095596
+洋河股份,2022,831.7866007919189
+长江电力,2022,56.75749446465985
+顺丰控股,2022,41.31120092089381
+"
+CN,fundamental,在海南机场、青岛港、天孚通信、赛轮轮胎中，2020年现金周转期最高的那家公司，比第二名高出多少？（计算应收账款周转天数时，使用应收票据及应收账款；计算应付账款周转天数时，使用应付票据及应付账款；存货、应收票据及应收账款和应付票据及应付账款都用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,955.8047,hard,operational efficiency,存货周转天数 + 应收账款周转天数 - 应付账款周转天数,"corporate,year,营业成本,存货,营业收入,应收票据及应收账款,应付票据及应付账款
+海南机场,2019,7341823550.43,24125027684.09,11529506164.31,3158240067.91,7773342553.75
+海南机场,2020,4373270721.15,12835911633.01,6319139499.54,2312420676.29,6880344359.76
+青岛港,2019,8178690909.0,208760886.0,12164080973.0,2426941205.0,2576435866.0
+青岛港,2020,8487597332.0,137327278.0,13219413890.0,3034936367.0,2087471321.0
+天孚通信,2019,250149609.78,75097552.57,522930856.11,230000457.16,102990669.11
+天孚通信,2020,412293677.55,173104039.75,873449245.94,343755756.81,115371708.93
+赛轮轮胎,2019,11216100576.51,2229460621.15,15127839306.07,1566437344.81,3255124510.28
+赛轮轮胎,2020,11213842927.87,2656272064.12,15404989184.81,1890349738.35,5163831755.29
+","corporate,year,现金周转期
+天孚通信,2020,133.08981642641055
+海南机场,2020,1088.8945478977425
+赛轮轮胎,2020,-16.549641572399736
+青岛港,2020,-17.437887653180724
+"
+CN,fundamental,陕西煤业、长城汽车、康龙化成、泸州老窖里，2024年现金周转期最低的企业与第二名相差多少？（计算应收账款周转天数时，使用应收票据及应收账款；计算应付账款周转天数时，使用应付票据及应付账款；存货、应收票据及应收账款和应付票据及应付账款都用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,41.9568,hard,operational efficiency,存货周转天数 + 应收账款周转天数 - 应付账款周转天数,"corporate,year,营业成本,存货,营业收入,应收票据及应收账款,应付票据及应付账款
+陕西煤业,2023,113728336368.16,3000781096.64,181471814714.54,4963313105.45,23723517515.1
+陕西煤业,2024,123950818253.62,4144235193.6,184144845071.05,4729792923.4,22488665046.89
+长城汽车,2023,141772092554.01,26627754349.95,173212076757.97,10144955455.52,68486441372.02
+长城汽车,2024,162751816682.81,25440034524.55,202193779642.49,9638152765.79,79651589383.67
+康龙化成,2023,7413512033.14,1013079365.83,11537996314.78,2242153239.78,412220642.83
+康龙化成,2024,8072643718.49,1116665159.58,12275774875.03,2413629026.39,477089050.2
+泸州老窖,2023,3537151403.15,11622043947.46,30233301388.26,17461378.98,2357223733.21
+泸州老窖,2024,3888116183.93,13392794475.96,31196248208.33,11022302.31,1844497206.78
+","corporate,year,现金周转期
+康龙化成,2024,97.25879687534646
+泸州老窖,2024,977.090612244847
+长城汽车,2024,-89.87110978809486
+陕西煤业,2024,-47.91433758679127
+"
+CN,fundamental,2024年，在华大九天、芒果超媒、三峡能源、生益科技、中国建筑中，现金周转期最高的公司与第二名之间的差距是多少？（计算应收账款周转天数时，使用应收票据及应收账款；计算应付账款周转天数时，使用应付票据及应付账款；存货、应收票据及应收账款和应付票据及应付账款都用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,62.3272,hard,operational efficiency,存货周转天数 + 应收账款周转天数 - 应付账款周转天数,"corporate,year,营业成本,存货,营业收入,应收票据及应收账款,应付票据及应付账款
+华大九天,2023,62801707.38,48137645.0,1010402077.64,301071948.42,37188855.0
+华大九天,2024,81814469.55,53773576.03,1222354443.47,687145888.26,48815214.56
+芒果超媒,2023,9803006894.94,1717435689.33,14628016301.84,3531443370.15,6926146960.0
+芒果超媒,2024,9991679957.84,1331578160.36,14079689573.23,4542340242.81,7202573677.99
+三峡能源,2023,11896062527.51,355279692.1,26501574113.98,36737568210.63,26465379548.91
+三峡能源,2024,14081009502.84,469932110.67,29717044357.67,44794189111.1,28914409059.64
+生益科技,2023,13403980885.88,4271232412.18,16586072808.8,5531331708.82,3879835033.41
+生益科技,2024,15895327928.2,5119492461.54,20388330213.56,7313487705.72,5012466263.49
+中国建筑,2023,2042723831000.0,796342895000.0,2265529244000.0,260311823000.0,700728025000.0
+中国建筑,2024,1971708426000.0,772168289000.0,2187334286000.0,319472174000.0,844191697000.0
+","corporate,year,现金周转期
+三峡能源,2024,-206.35905441853885
+中国建筑,2024,50.55782498057701
+华大九天,2024,183.02632431162434
+生益科技,2024,120.69911513062145
+芒果超媒,2024,-97.72117778181922
+"
+CN,fundamental,对于2017年的现金周转期，中国中铁、龙佰集团、山东黄金、科伦药业中最低的那家公司领先第二名多少？（计算应收账款周转天数时，使用应收票据及应收账款；计算应付账款周转天数时，使用应付票据及应付账款；存货、应收票据及应收账款和应付票据及应付账款都用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,26.5023,hard,operational efficiency,存货周转天数 + 应收账款周转天数 - 应付账款周转天数,"corporate,year,营业成本,存货,营业收入,应收票据及应收账款,应付票据及应付账款
+中国中铁,2016,584495432000.0,224804401000.0,639406523000.0,152303602000.0,298714648000.0
+中国中铁,2017,625258020000.0,242463090000.0,689944860000.0,135921916000.0,330038419000.0
+龙佰集团,2016,2912959839.59,1280670101.25,4135559614.7,1647335582.28,1181066458.99
+龙佰集团,2017,5629184186.55,1563195630.79,10257509524.84,2181679634.67,1406604371.53
+山东黄金,2016,45799121725.06,1369968219.05,50198852619.86,31805396.28,1815894363.21
+山东黄金,2017,46412368965.8,3102217624.57,51041303382.75,145729152.43,2155728309.28
+科伦药业,2016,4854665753.0,2133159443.0,8565943415.0,4223603993.0,1357751687.0
+科伦药业,2017,5567764890.0,2500483830.0,11434948841.0,6322044311.0,1387067294.0
+","corporate,year,现金周转期
+中国中铁,2017,29.1053238306026
+山东黄金,2017,2.603066304147312
+科伦药业,2017,230.21871775403466
+龙佰集团,2017,76.43116078794526
+"
+CN,fundamental,对于迈瑞医疗、兖矿能源、福斯特、中国铝业、海天味业在2019年现金周转期的值，计算最高的公司与第二名之间的差距。（计算应收账款周转天数时，使用应收票据及应收账款；计算应付账款周转天数时，使用应付票据及应付账款；存货、应收票据及应收账款和应付票据及应付账款都用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,46.4639,hard,operational efficiency,存货周转天数 + 应收账款周转天数 - 应付账款��转天数,"corporate,year,营业成本,存货,营业收入,应收票据及应收账款,应付票据及应付账款
+迈瑞医疗,2018,4597398296.0,1698949044.0,13753357469.0,1627332696.0,940369928.0
+迈瑞医疗,2019,5755057286.0,2264598752.0,16555991314.0,1695290771.0,1243955165.0
+兖矿能源,2018,131238948000.0,5126622000.0,163008472000.0,4728553000.0,13443952000.0
+兖矿能源,2019,181578603000.0,8264240000.0,214688079000.0,4587731000.0,21487704000.0
+福斯特,2018,3863787241.21,780107353.31,4809736097.86,2667545054.78,636928686.6
+福斯特,2019,5079270536.58,909178468.9,6378151355.92,1768528237.44,702222469.12
+中国铝业,2018,164309718000.0,20459668000.0,180241414000.0,8104017000.0,14009264000.0
+中国铝业,2019,176377928000.0,19515641000.0,190215398000.0,4574581000.0,12608806000.0
+海天味业,2018,9119051026.25,1203328316.58,17034475127.23,2444554.89,744839797.74
+海天味业,2019,10800720678.76,1802760746.44,19796889800.07,2463315.07,1298471697.18
+","corporate,year,现金周转期
+中国铝业,2019,25.985204958309772
+兖矿能源,2019,-13.730601874375388
+海天味业,2019,16.313316206005467
+福斯特,2019,139.51118832141464
+迈瑞医疗,2019,93.04729958807303
+"
+CN,fundamental,在国投资本、中国通号、宁沪高速中，2022年存货周转率最高的那家公司，比第二名高出多少？（存货用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,16.2252,hard,operational efficiency,营业成本 / 平均存货,"corporate,year,营业成本,存货
+国投资本,2021,1187350837.91,50613369.01
+国投资本,2022,1926227761.2,83054043.5
+中国通号,2021,29846875671.34,2492752472.5
+中国通号,2022,30680741586.09,2378763660.23
+宁沪高速,2021,8998605756.71,3889500259.57
+宁沪高速,2022,8841449322.89,2585018115.85
+","corporate,year,存货周转率
+中国通号,2022,12.595972485837382
+国投资本,2022,28.821202191759255
+宁沪高速,2022,2.731152746884113
+"
+CN,fundamental,中国通号、宇通客车、中国中车里，2021年存货周转率最低的企业与第二名相差多少？（存货用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.5156,hard,operational efficiency,营业成本 / 平均存货,"corporate,year,营业成本,存货
+中国通号,2020,31269101236.91,2489187213.72
+中国通号,2021,29846875671.34,2492752472.5
+宇通客车,2020,17911982559.81,5016708399.29
+宇通客车,2021,18901014360.27,6106125747.16
+中国中车,2020,176954601000.0,62966123000.0
+中国中车,2021,179303892000.0,61420021000.0
+","corporate,year,存货周转率
+中国中车,2021,2.8830203467035687
+中国通号,2021,11.98203011324934
+宇通客车,2021,3.398596816496182
+"
+CN,fundamental,2018年，在沪电股份、亿联网络、新和成、华润微、欧派家居中，存货周转率最高的公司与第二名之间的差距是多少？（存货用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,5.1783,hard,operational efficiency,营业成本 / 平均存货,"corporate,year,营业成本,存货
+沪电股份,2017,3796685572.0,742018319.0
+沪电股份,2018,4210229440.0,1038824976.0
+亿联网络,2017,526232060.18,182331376.82
+亿联网络,2018,693681149.63,197394183.57
+新和成,2017,3088304632.09,1554791210.6
+新和成,2018,4048697102.16,1445655676.32
+华润微,2017,4840166389.97,900232592.34
+华润微,2018,4690264067.0,1181254818.15
+欧派家居,2017,6357809723.05,786606571.39
+欧派家居,2018,7092635974.85,645293626.64
+","corporate,year,存货周转率
+亿联网络,2018,3.653592078013129
+华润微,2018,4.506646586823094
+新和成,2018,2.6987293924846263
+欧派家居,2018,9.906606598152592
+沪电股份,2018,4.728354765206896
+"
+CN,fundamental,对于2022年的存货周转率，南方航空、隆基绿能、药明康德中最低的那家公司领先第二名多少？（存货用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,6.5381,hard,operational efficiency,营业成本 / 平均存货,"corporate,year,营业成本,存货
+南方航空,2021,104229000000.0,1652000000.0
+南方航空,2022,105862000000.0,1387000000.0
+隆基绿能,2021,64311584987.93,14075735210.03
+隆基绿能,2022,109164093984.54,19317555540.96
+药明康德,2021,14592255587.53,5905005712.92
+药明康德,2022,0.0,5668594794.94
+","corporate,year,存货周转率
+南方航空,2022,69.66897005593945
+药明康德,2022,0.0
+隆基绿能,2022,6.538085437494875
+"
+CN,fundamental,对于恒立液压、中国石油、卫星化学、恒生电子在2025年存货周转率的值，计算最低的公司与第二名之间的差距。（存货用期初期末平均值）按中国会计准则，���出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.7083,hard,operational efficiency,营业成本 / 平均存货,"corporate,year,营业成本,存货
+恒立液压,2024,5368244272.45,1764523892.08
+恒立液压,2025,6391976738.28,2154205275.48
+中国石油,2024,2275223000000.0,168338000000.0
+中国石油,2025,2246121000000.0,150598000000.0
+卫星化学,2024,34890966462.24,4397583301.67
+卫星化学,2025,35787928871.49,5199455905.03
+恒生电子,2024,1841317277.99,633199357.6
+恒生电子,2025,1673330301.22,677166726.77
+","corporate,year,存货周转率
+中国石油,2025,14.085089171495222
+卫星化学,2025,7.458118717803153
+恒生电子,2025,2.5539890282256605
+恒立液压,2025,3.2622702233132226
+"
+CN,fundamental,在汇川技术、今世缘、中国电建中，2020年应收账款周转率最低的那家公司，比第二名低出多少？（使用应收票据及应收账款，用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.9384,hard,operational efficiency,营业收入 / 平均应收票据及应收账款,"corporate,year,营业收入,应收票据及应收账款
+汇川技术,2019,7390370858.4,2535048563.31
+汇川技术,2020,11511316766.18,3160814141.73
+今世缘,2019,4869870573.62,32153801.76
+今世缘,2020,5119363385.39,29107706.91
+中国电建,2019,348028255864.41,55996172222.79
+中国电建,2020,401180654966.12,58949204187.29
+","corporate,year,应收账款周转率
+中国电建,2020,6.980370459353925
+今世缘,2020,167.13148260734795
+汇川技术,2020,4.041992359118551
+"
+CN,fundamental,中国国航、中国铝业、特变电工、陕西煤业、大华股份里，2019年应收账款周转率最高的企业与第二名相差多少？（使用应收票据及应收账款，用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,6.0565,hard,operational efficiency,营业收入 / 平均应收票据及应收账款,"corporate,year,营业收入,应收票据及应收账款
+中国国航,2018,136774403000.0,5374375000.0
+中国国航,2019,136180690000.0,5998052000.0
+中国铝业,2018,180241414000.0,8104017000.0
+中国铝业,2019,190215398000.0,4574581000.0
+特变电工,2018,39655527759.96,13302507801.53
+特变电工,2019,36980048574.43,13161191168.66
+陕西煤业,2018,57223725979.59,13649765457.36
+陕西煤业,2019,73732076716.23,7528929760.07
+大华股份,2018,23665688106.22,12577066194.44
+大华股份,2019,26149430652.42,13241196380.65
+","corporate,year,应收账款周转率
+中国国航,2019,23.949274855754187
+中国铝业,2019,30.005746376689284
+大华股份,2019,2.025653784902592
+特变电工,2019,2.7947754859278082
+陕西煤业,2019,6.962853561965303
+"
+CN,fundamental,2025年，在北方稀土、中油资本、五粮液、浙能电力中，应收账款周转率最低的公司与第二名之间的差距是多少？（使用应收票据及应收账款，用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.528,hard,operational efficiency,营业收入 / 平均应收票据及应收账款,"corporate,year,营业收入,应收票据及应收账款
+北方稀土,2024,32966314898.03,6317829655.48
+北方稀土,2025,42563083233.34,7418524715.18
+中油资本,2024,804471310.65,26310118.96
+中油资本,2025,917619498.96,54934479.69
+五粮液,2024,89175178322.7,47643944.95
+五粮液,2025,40528509770.23,42586856.95
+浙能电力,2024,88008114048.05,12592281979.93
+浙能电力,2025,79553931304.55,11066225479.85
+","corporate,year,应收账款周转率
+中油资本,2025,22.589058576388204
+五粮液,2025,898.32981458253
+北方稀土,2025,6.197144028877429
+浙能电力,2025,6.7251859771622104
+"
+CN,fundamental,对于2025年的应收账款周转率，云南白药、云铝股份、中油资本、药明康德中最低的那家公司领先第二名多少？（使用应收票据及应收账款，用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.1181,hard,operational efficiency,营业收入 / 平均应收票据及应收账款,"corporate,year,营业收入,应收票据及应收账款
+云南白药,2024,40033300814.72,10853013015.76
+云南白药,2025,41186999090.31,10745425434.22
+云铝股份,2024,54450459133.32,343988785.55
+云铝股份,2025,60042935758.93,344273709.15
+中油资本,2024,804471310.65,26310118.96
+中油资本,2025,917619498.96,54934479.69
+药明康德,2024,39241431359.88,8044373656.94
+药明康德,2025,45456165774.18,7281326326.92
+","corporate,year,应收账款周转率
+中油资本,2025,22.589058576388204
+云南白药,2025,3.813886747942015
+云铝股份,2025,174.47684922916372
+���明康德,2025,5.9320182206426315
+"
+CN,fundamental,对于贵州茅台、立讯精密、华鲁恒升、亿纬锂能在2023年应收账款周转率的值，计算最低的公司与第二名之间的差距。（使用应收票据及应收账款，用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,5.2406,hard,operational efficiency,营业收入 / 平均应收票据及应收账款,"corporate,year,营业收入,应收票据及应收账款
+贵州茅台,2022,124099843771.99,126390356.0
+贵州茅台,2023,147693604994.14,74306850.41
+立讯精密,2022,214028394291.44,26993121879.88
+立讯精密,2023,231905459829.83,23765555238.13
+华鲁恒升,2022,30245283380.3,38687722.98
+华鲁恒升,2023,27259886885.51,73003320.66
+亿纬锂能,2022,36303947808.53,10841095221.15
+亿纬锂能,2023,48783587175.86,14195400084.12
+","corporate,year,应收账款周转率
+亿纬锂能,2023,3.8969980886734903
+华鲁恒升,2023,488.130220599844
+立讯精密,2023,9.137569101364392
+贵州茅台,2023,1471.8052895307364
+"
+CN,fundamental,在恒力石化、同仁堂、中航机载中，2025年应付账款周转率最低的那家公司，比第二名低出多少？（使用应付票据及应付账款，用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.7704,hard,operational efficiency,营业成本 / 平均应付票据及应付账款,"corporate,year,营业成本,应付票据及应付账款
+恒力石化,2024,212983331904.94,20936963900.46
+恒力石化,2025,174568467326.08,14793613178.11
+同仁堂,2024,10421121147.37,4115811540.63
+同仁堂,2025,9857731306.57,3661135483.41
+中航机载,2024,17150922200.03,21419138432.13
+中航机载,2025,17262730792.95,23729162479.37
+","corporate,year,应付账款周转率
+中航机载,2025,0.7647123122878321
+同仁堂,2025,2.5351159718840584
+恒力石化,2025,9.771376876573331
+"
+CN,fundamental,龙芯中科、东方盛虹、三环集团里，2020年应付账款周转率最高的企业与第二名相差多少？（使用应付票据及应付账款，用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.1598,hard,operational efficiency,营业成本 / 平均应付票据及应付账款,"corporate,year,营业成本,应付票据及应付账款
+龙芯中科,2019,207414977.91,108577692.63
+龙芯中科,2020,554933721.24,185711840.8
+东方盛虹,2019,21868365543.63,4767649734.56
+东方盛虹,2020,31047552185.4,9312463867.71
+三环集团,2019,1388915892.04,151918223.34
+三环集团,2020,1952775167.33,442542295.07
+","corporate,year,应付账款周转率
+三环集团,2020,6.5699070227677225
+东方盛虹,2020,4.410128080272663
+龙芯中科,2020,3.7713452787269928
+"
+CN,fundamental,2025年，在中航西飞、龙芯中科、赛轮轮胎、恒瑞医药中，应付账款周转率最低的公司与第二名之间的差距是多少？（使用应付票据及应付账款，用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.393,hard,operational efficiency,营业成本 / 平均应付票据及应付账款,"corporate,year,营业成本,应付票据及应付账款
+中航西飞,2024,40685762823.28,41604950753.53
+中航西飞,2025,38234059520.17,44114875658.06
+龙芯中科,2024,347741281.1,278747901.51
+龙芯中科,2025,336353953.09,244725766.03
+赛轮轮胎,2024,23030341853.6,6927534609.04
+赛轮轮胎,2025,27711170618.66,8746930912.77
+恒瑞医药,2024,3848177391.88,1967259141.2
+恒瑞医药,2025,4362655815.43,2270458529.86
+","corporate,year,应付账款周转率
+中航西飞,2025,0.8920703907305265
+恒瑞医药,2025,2.058964826856315
+赛轮轮胎,2025,3.535836112574519
+龙芯中科,2025,1.2850845188475437
+"
+CN,fundamental,对于2019年的应付账款周转率，紫光股份、东方电气、中微公司中最高的那家公司领先第二名多少？（使用应付票据及应付账款，用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.5422,hard,operational efficiency,营业成本 / 平均应付票据及应付账款,"corporate,year,营业成本,应付票据及应付账款
+紫光股份,2018,38064736793.87,5848259849.27
+紫光股份,2019,42773527856.17,7542572829.08
+东方电气,2018,23568286522.07,15092950990.47
+东方电气,2019,24938437889.53,15484760108.52
+中微公司,2018,1057317649.02,437078270.21
+中微公司,2019,1266894868.37,221679872.59
+","corporate,year,应付账款周转率
+东方电气,2019,1.6311513840127643
+中微公司,2019,3.84631258745482
+紫光股份,2019,6.388479175805891
+"
+CN,fundamental,对于美的集团、盐��股份、长春高新、万科A在2022年应付账款周转率的值，计算最低的公司与第二名之间的差距。（使用应付票据及应付账款，用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.1115,hard,operational efficiency,营业成本 / 平均应付票据及应付账款,"corporate,year,营业成本,应付票据及应付账款
+美的集团,2021,264525999000.0,98735566000.0
+美的集团,2022,260538701000.0,89805646000.0
+盐湖股份,2021,5971284724.95,1685398445.94
+盐湖股份,2022,6422571521.22,2034185248.27
+长春高新,2021,1331976709.65,623751583.43
+长春高新,2022,1514873045.41,628520033.84
+万科A,2021,353977137972.14,330536571349.53
+万科A,2022,405319286979.64,289241525077.07
+","corporate,year,应付账款周转率
+万科A,2022,1.3079496978565512
+盐湖股份,2022,3.4533819100333947
+美的集团,2022,2.763732111788907
+长春高新,2022,2.4194001117944066
+"
+CN,fundamental,在云南白药、寒武纪、中国交建、山西汾酒、上海机场中，2025年总资产周转率最高的那家公司，比第二名高出多少？（总资产按期初期末平均值计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0634,hard,operational efficiency,营业收入 / 平均总资产,"corporate,year,营业收入,资产合计
+云南白药,2024,40033300814.72,52914181333.05
+云南白药,2025,41186999090.31,54268581131.82
+寒武纪,2024,1174464377.35,6717812509.7
+寒武纪,2025,6497196198.68,13437714065.91
+中国交建,2024,771944258710.0,1858272592553.0
+中国交建,2025,731108751343.0,2019131695690.0
+山西汾酒,2024,36010992321.46,53495197888.51
+山西汾酒,2025,38718257657.74,56323475330.54
+上海机场,2024,12368804103.46,70046212107.27
+上海机场,2025,13346192164.12,71678547661.74
+","corporate,year,总资产周转率
+上海机场,2025,0.18833959832949843
+中国交建,2025,0.37711246854492614
+云南白药,2025,0.7685377413893277
+寒武纪,2025,0.6447061727022495
+山西汾酒,2025,0.7051306762832685
+"
+CN,fundamental,中远海能、泸州老窖、生益科技里，2020年总资产周转率最低的企业与第二名相差多少？（总资产按期初期末平均值计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.2724,hard,operational efficiency,营业收入 / 平均总资产,"corporate,year,营业收入,资产合计
+中远海能,2019,13880075062.56,65841861904.73
+中远海能,2020,16384757725.42,65959856524.45
+泸州老窖,2019,15816934272.86,28919969078.32
+泸州老窖,2020,16652854549.8,35009203823.45
+生益科技,2019,13241085241.08,15534907870.03
+生益科技,2020,14687341460.15,18357445724.02
+","corporate,year,总资产周转率
+中远海能,2020,0.24862737634523174
+泸州老窖,2020,0.5209782574658942
+生益科技,2020,0.8667053127126849
+"
+CN,fundamental,2020年，在顺丰控股、中远海能、中远海控、公牛集团中，总资产周转率最高的公司与第二名之间的差距是多少？（总资产按期初期末平均值计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.4994,hard,operational efficiency,营业收入 / 平均总资产,"corporate,year,营业收入,资产合计
+顺丰控股,2019,112193396064.26,92535386807.84
+顺丰控股,2020,153986870000.0,111160042000.0
+中远海能,2019,13880075062.56,65841861904.73
+中远海能,2020,16384757725.42,65959856524.45
+中远海控,2019,151056682119.72,262224029547.74
+中远海控,2020,171258833813.71,271926073831.72
+公牛集团,2019,10040439724.07,7416562760.11
+公牛集团,2020,10051128834.05,12437541574.38
+","corporate,year,总资产周转率
+中远海控,2020,0.6412386058907034
+中远海能,2020,0.24862737634523174
+公牛集团,2020,1.0124988430316102
+顺丰控股,2020,1.511932505321624
+"
+CN,fundamental,对于2021年的总资产周转率，晶澳科技、长电科技、华润三九、中国巨石中最低的那家公司领先第二名多少？（总资产按期初期末平均值计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.1786,hard,operational efficiency,营业收入 / 平均总资产,"corporate,year,营业收入,资产合计
+晶澳科技,2020,25846520912.72,37297473419.88
+晶澳科技,2021,41301753627.9,56967447397.01
+长电科技,2020,26463994512.61,32328196228.34
+长电科技,2021,30502417851.52,37098618885.51
+华润三九,2020,13637258153.77,22010147281.16
+华润三九,2021,15544401735.35,24541900747.88
+中国巨石,2020,11666196819.43,36737268362.83
+中国巨石,2021,19706882079.97,43828317484.55
+","corporate,year,总资产周转率
+中国巨石,2021,0.4892133998082475
+华润三九,2021,0.6678289095101949
+晶澳科技,2021,0.8762910586458525
+长电科技,2021,0.8786927011270909
+"
+CN,fundamental,对于海尔智家、中国神华、国泰海通在2017年总资产周转率的值，计算最高的公司与第二名之间的差距。（总资产按期初期末平均值计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.6956,hard,operational efficiency,营业收入 / 平均总资产,"corporate,year,营业收入,资产合计
+海尔智家,2016,119132261662.6,131469157348.79
+海尔智家,2017,163428825488.56,157164345812.3
+中国神华,2016,183127000000.0,571664000000.0
+中国神华,2017,248746000000.0,567124000000.0
+国泰海通,2016,25764651745.0,411749041689.0
+国泰海通,2017,23804132903.0,431648187078.0
+","corporate,year,总资产周转率
+中国神华,2017,0.43686094338893633
+国泰海通,2017,0.056448212280233175
+海尔智家,2017,1.132431430854015
+"
+CN,fundamental,在卓胜微、中兴通讯、巨化股份中，2021年固定资产周转率最低的那家公司，比第二名低出多少？（固定资产用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,7.065,hard,operational efficiency,营业收入 / 平均固定资产合计,"corporate,year,营业收入,固定资产合计
+卓胜微,2020,2792147535.48,102792957.86
+卓胜微,2021,4633570865.7,246264280.67
+中兴通讯,2020,101450670000.0,11913942000.0
+中兴通讯,2021,114521641000.0,11437011000.0
+巨化股份,2020,16053698564.79,6746372308.2
+巨化股份,2021,17985585441.93,6363790800.16
+","corporate,year,固定资产周转率
+中兴通讯,2021,9.80873380199943
+卓胜微,2021,26.54906046477397
+巨化股份,2021,2.743762269511517
+"
+CN,fundamental,赛轮轮胎、山西汾酒、赣锋锂业、中国石化里，2018年固定资产周转率最高的企业与第二名相差多少？（固定资产用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.1196,hard,operational efficiency,营业收入 / 平均固定资产合计,"corporate,year,营业收入,固定资产合计
+赛轮轮胎,2017,13806899697.98,5969050746.91
+赛轮轮胎,2018,13684752715.36,6358543593.72
+山西汾酒,2017,6361456273.59,1652471155.71
+山西汾酒,2018,9444337822.85,1674669347.24
+赣锋锂业,2017,4383446140.42,795260645.01
+赣锋锂业,2018,5003882888.26,1497740046.11
+中国石化,2017,2360193000000.0,650920000000.0
+中国石化,2018,2891179000000.0,617812000000.0
+","corporate,year,固定资产周转率
+中国石化,2018,4.557588206177506
+山西汾酒,2018,5.677149981779372
+赛轮轮胎,2018,2.2201821924423646
+赣锋锂业,2018,4.364484413492164
+"
+CN,fundamental,2021年，在海大集团、比亚迪、中远海控、中国能建、海南机场中，固定资产周转率最高的公司与第二名之间的差距是多少？（固定资产用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.2227,hard,operational efficiency,营业收入 / 平均固定资产合计,"corporate,year,营业收入,固定资产合计
+海大集团,2020,60323862405.94,7703538937.81
+海大集团,2021,86091961539.13,11271964642.07
+比亚迪,2020,156597691000.0,54584620000.0
+比亚迪,2021,216142395000.0,61221365000.0
+中远海控,2020,171258833813.71,99192805859.26
+中远海控,2021,333693943224.16,99786035479.09
+中国能建,2020,270327662000.0,33243026000.0
+中国能建,2021,322318565000.0,39586551000.0
+海南机场,2020,6319139499.54,7043679762.99
+海南机场,2021,4524553773.9,8619237695.38
+","corporate,year,固定资产周转率
+中国能建,2021,8.851309544197957
+中远海控,2021,3.3540645927949306
+比亚迪,2021,3.7328363469297376
+海南机场,2021,0.5777408692761966
+海大集团,2021,9.074010729329423
+"
+CN,fundamental,对于2017年的固定资产周转率，三环集团、京东方A、中国建筑、德赛西威、徐工机械中最低的那家公司领先第二名多少？（固定资产用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.3248,hard,operational efficiency,营业收入 / 平均固定资产合计,"corporate,year,营业收入,固定资产合计
+三环集团,2016,2887507920.99,1019543751.29
+三环集团,2017,3129801620.19,1476417704.24
+京东方A,2016,68895658963.0,69947586967.0
+京东方A,2017,93800479215.0,88625296761.0
+中国建筑,2016,959765486000.0,30026027000.0
+中国建筑,2017,1054106503000.0,34395282000.0
+德赛西威,2016,5678033522.88,500681122.09
+德赛西威,2017,6010300848.65,537753062.81
+徐工机械,2016,16891229922.95,7546982610.8
+徐工机械,2017,29131104625.6,7192166433.52
+","corporate,year,固定资产周转率
+三环集团,2017,2.5078925904530114
+中国建筑,2017,32.72539845472559
+京东方A,2017,1.1830582506892657
+徐工机械,2017,3.9528882621383357
+德赛西威,2017,11.575699136346875
+"
+CN,fundamental,对于圆通速递、长城汽车、新和成、兆易创新在2021年固定资产周转率的值，计算最低的公司与第二名之间的差距。（固定资产用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.0012,hard,operational efficiency,营业收入 / 平均固定资产合计,"corporate,year,营业收入,固定资产合计
+圆通速递,2020,34907041590.3,9686424430.76
+圆通速递,2021,45154953607.39,12575227451.15
+长城汽车,2020,103307607209.7,28609221999.83
+长城汽车,2021,136404663038.67,27441388875.44
+新和成,2020,10314084354.21,13914151215.54
+新和成,2021,14917101500.91,14350779852.73
+兆易创新,2020,4496894867.81,694404964.57
+兆易创新,2021,8510223468.73,809629062.15
+","corporate,year,固定资产周转率
+兆易创新,2021,11.316530500695
+圆通速递,2021,4.056747796337906
+新和成,2021,1.0555201047460416
+长城汽车,2021,4.867196303790968
+"
+CN,fundamental,在中航沈飞、宁沪高速、华润三九、南方航空、格力电器中，2017年营运资本周转率最低的那家公司，比第二名低出多少？（净营运资本用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.3118,hard,operational efficiency,营业收入 / 平均净营运资本；净营运资本 = 流动资产合计 - 流动负债合计,"corporate,year,营业收入,流动资产合计,流动负债合计
+中航沈飞,2016,17881309163.92,14982197959.91,15646554332.28
+中航沈飞,2017,19458540228.95,20157509441.71,18000258410.47
+宁沪高速,2016,9201297066.0,4411012016.0,7239329234.0
+宁沪高速,2017,9455680365.0,4602482928.0,8723608612.0
+华润三九,2016,8981721080.58,5082459879.61,3787026364.48
+华润三九,2017,11119916379.78,6843645803.01,5504486021.93
+南方航空,2016,114803000000.0,13807000000.0,67939000000.0
+南方航空,2017,127489000000.0,17884000000.0,69577000000.0
+格力电器,2016,108302565293.7,142915068871.75,126852012614.25
+格力电器,2017,148286450009.18,171554189887.78,147490788889.61
+","corporate,year,营运资本周转率
+中航沈飞,2017,26.068202620107936
+华润三九,2017,8.44146714847911
+南方航空,2017,-2.409430663831798
+宁沪高速,2017,-2.7212772299427694
+格力电器,2017,7.390956498569361
+"
+CN,fundamental,赛轮轮胎、中芯国际、中国建筑、公牛集团、中微公司里，2020年营运资本周转率最低的企业与第二名相差多少？（净营运资本用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,55.8328,hard,operational efficiency,营业收入 / 平均净营运资本；净营运资本 = 流动资产合计 - 流动负债合计,"corporate,year,营业收入,流动资产合计,流动负债合计
+赛轮轮胎,2019,15127839306.07,8470546801.36,8466725670.13
+赛轮轮胎,2020,15404989184.81,10305991626.39,10866939288.64
+中芯国际,2019,22017883000.0,47976705000.0,20073511000.0
+中芯国际,2020,27470709000.0,99106875000.0,23583040000.0
+中国建筑,2019,1419836588000.0,1461505982000.0,1145727677000.0
+中国建筑,2020,1615050549000.0,1577694597000.0,1196167424000.0
+公牛集团,2019,10040439724.07,5641453620.15,1829650041.39
+公牛集团,2020,10051128834.05,10517792219.26,3064296395.09
+中微公司,2019,1946949250.75,3846290700.33,896096294.52
+中微公司,2020,2273291898.06,4197634823.08,1232630867.31
+","corporate,year,营运资本周转率
+中国建筑,2020,4.632261182379525
+中微公司,2020,0.7686274437812037
+中芯国际,2020,0.5312094771667472
+公牛集团,2020,1.78444060375986
+赛轮轮胎,2020,-55.30158169493806
+"
+CN,fundamental,2019年，在龙源电力、招商公路、华东医药、中海油服、国投电力中，营运资本周转率最低的公司与第二名之间的差距是多少？（净营运资本用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.8655,hard,operational efficiency,营业收入 / 平均净营运资本；净营运资本 = 流动资产合计 - 流动负债合计,"corporate,year,营业收入,流动资产合计,流动负债合计
+龙源电力,2018,26454617156.86,18330819733.55,40203399881.38
+龙源电力,2019,27579204226.63,23430679470.9,45034353501.84
+招商公路,2018,6759340168.24,11656171172.85,6869011411.06
+招商公路,2019,8292216434.56,10976171628.59,11209460423.25
+华东医药,2018,30663374326.27,13063889035.73,7398978407.58
+华东医药,2019,35445698216.15,13735870058.05,8396638634.8
+中海油服,2018,21945877580.0,21708927577.0,17011043963.0
+中海油服,2019,31135149996.0,23029655129.0,19828820576.0
+国投电力,2018,41011372735.69,17377505808.47,35168586981.11
+国投电力,2019,42433460265.79,24933681339.32,34219864091.92
+","corporate,year,营运资本周转率
+中海油服,2019,7.883595625953418
+华东医药,2019,6.44224657416894
+国投电力,2019,-3.134250224317219
+招商公路,2019,3.641831968632185
+龙源电力,2019,-1.2687019499530519
+"
+CN,fundamental,对于2019年的营运资本周转率，新产业、正泰电器、陕西煤业中最高的那家公司领先第二名多少？（净营运资本用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,9.7013,hard,operational efficiency,营业收入 / 平均净营运资本；净营运资本 = 流动资产合计 - 流动负债合计,"corporate,year,营业收入,流动资产合计,流动负债合计
+新产业,2018,1383610984.44,1866639974.85,264180468.33
+新产业,2019,1681588076.26,2484876118.38,308369886.16
+正泰电器,2018,27420832737.52,23967482171.82,17105792998.39
+正泰电器,2019,30225906278.03,25797711427.53,19049399343.96
+陕西煤业,2018,57223725979.59,31504517582.1,28679184395.87
+陕西煤业,2019,73732076716.23,35662370501.59,28061056367.45
+","corporate,year,营运资本周转率
+新产业,2019,0.8899726499349966
+正泰电器,2019,4.441719836356955
+陕西煤业,2019,14.143007709138391
+"
+CN,fundamental,对于华利集团、紫金矿业、伊利股份、科大讯飞在2023年营运资本周转率的值，计算最低的公司与第二名之间的差距。（净营运资本用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,33.0404,hard,operational efficiency,营业收入 / 平均净营运资本；净营运资本 = 流动资产合计 - 流动负债合计,"corporate,year,营业收入,流动资产合计,流动负债合计
+华利集团,2022,20569267348.44,11504083480.18,3742888973.79
+华利集团,2023,20113741026.09,13118185703.87,4169225410.21
+紫金矿业,2022,270328998459.0,79644459532.0,71169903836.0
+紫金矿业,2023,293403242878.0,77628540055.0,84182433105.0
+伊利股份,2022,122698004080.99,61463311044.87,62169527205.35
+伊利股份,2023,125758168916.51,69355379950.11,76859801708.62
+科大讯飞,2022,18820234052.91,19757464924.27,12082325657.94
+科大讯飞,2023,19650329209.04,21199919044.08,12907582473.47
+","corporate,year,营运资本周转率
+伊利股份,2023,-30.632983735806924
+华利集团,2023,2.4073674082336827
+科大讯飞,2023,2.4612943723490583
+紫金矿业,2023,305.5229334407538
+"
+CN,fundamental,在山东黄金、中国中免、新和成中，2025年流动比率最低的那家公司，比第二名低出多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.1573,hard,solvency,流动资产合计 / 流动负债合计,"corporate,year,流动资产合计,流动负债合计
+山东黄金,2025,33867646221.94,72078918824.93
+中国中免,2025,56225571672.53,9646921428.9
+新和成,2025,19435332289.06,7397795032.81
+","corporate,year,流动比率
+中国中免,2025,5.828343486253643
+山东黄金,2025,0.46986895439150467
+新和成,2025,2.6271790719886474
+"
+CN,fundamental,江西铜业、青岛港、鹏鼎控股里，2021年流动比率最高的企业与第二名相差多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0693,hard,solvency,流动资产合计 / 流动负债合计,"corporate,year,流动资产合计,流动负债合计
+江西铜业,2021,93241812140.0,67228941119.0
+青岛港,2021,20576051995.0,16416939608.0
+鹏鼎控股,2021,15936765409.68,10943478805.28
+","corporate,year,流动比率
+江西铜业,2021,1.3869296554136614
+青岛港,2021,1.2533427353885895
+鹏鼎控股,2021,1.4562796431780762
+"
+CN,fundamental,2024年，在白云山、三环集团、国轩高科、四川路桥中，流动比率最低的公司与第二名之间的差距是多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.3224,hard,solvency,流动资产合计 / 流动负债合计,"corporate,year,流动资产合计,流动负债合计
+白云山,2024,57762228309.37,38915689355.57
+三环集团,2024,13602035453.21,2594251951.16
+国轩高科,2024,48762776435.99,55571739076.81
+四川路桥,2024,157243011029.59,131053441982.76
+","corporate,year,流动比率
+三环集团,2024,5.243143576370041
+四川路桥,2024,1.1998388493319787
+国轩高科,2024,0.8774743645972856
+白云山,2024,1.4842915355192725
+"
+CN,fundamental,对于2023年的流动比率，纳思达、新希望、芒果超媒中最高的那家公��领先第二名多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.4221,hard,solvency,流动资产合计 / 流动负债合计,"corporate,year,流动资产合计,流动负债合计
+纳思达,2023,19873703004.33,11697301368.15
+新希望,2023,31142146386.42,55110465424.83
+芒果超媒,2023,20914869271.16,9860481719.86
+","corporate,year,流动比率
+新希望,2023,0.5650858897008864
+纳思达,2023,1.6989989723991483
+芒果超媒,2023,2.121079868647325
+"
+CN,fundamental,对于中科曙光、中国动力、保利发展、中芯国际、德业股份在2019年流动比率的值，计算最高的公司与第二名之间的差距。按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0769,hard,solvency,流动资产合计 / 流动负债合计,"corporate,year,流动资产合计,流动负债合计
+中科曙光,2019,9879041133.22,5858578477.06
+中国动力,2019,38787404530.4,15722517056.09
+保利发展,2019,936921965666.57,599700475026.32
+中芯国际,2019,47976705000.0,20073511000.0
+德业股份,2019,907689599.03,651071270.61
+","corporate,year,流动比率
+中国动力,2019,2.4669971348751685
+中科曙光,2019,1.6862522490571092
+中芯国际,2019,2.390050499885147
+保利发展,2019,1.562316530807233
+德业股份,2019,1.3941478298982073
+"
+CN,fundamental,在科大讯飞、卓胜微、中联重科中，2016年速动比率最高的那家公司，比第二名高出多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.2081,hard,solvency,(流动资产合计 - 存货) / 流动负债合计,"corporate,year,流动资产合计,流动负债合计,存货
+科大讯飞,2016,5532885443.01,2520986784.27,604036357.93
+卓胜微,2016,199051281.5,61229128.31,58500483.45
+中联重科,2016,68919770139.63,26899210169.32,12770071738.4
+","corporate,year,速动比率
+中联重科,2016,2.087410672945028
+卓胜微,2016,2.2954891230591814
+科大讯飞,2016,1.9551269034150223
+"
+CN,fundamental,荣盛石化、寒武纪、国货航里，2024年速动比率最高的企业与第二名相差多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.7113,hard,solvency,(流动资产合计 - 存货) / 流动负债合计,"corporate,year,流动资产合计,流动负债合计,存货
+荣盛石化,2024,78302919654.82,161555861255.49,44566934616.59
+寒武纪,2024,5800316619.44,818135979.38,1773974363.76
+国货航,2024,9365678856.0,2916142973.0,4558156.0
+","corporate,year,速动比率
+国货航,2024,3.2101034780094095
+寒武纪,2024,4.921360699392836
+荣盛石化,2024,0.20881931968335563
+"
+CN,fundamental,2024年，在美的集团、中国东航、中国电信、中国联通中，速动比率最低的公司与第二名之间的差距是多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.4153,hard,solvency,(流动资产合计 - 存货) / 流动负债合计,"corporate,year,流动资产合计,流动负债合计,存货
+美的集团,2024,389063786000.0,351819806000.0,63339188000.0
+中国东航,2024,19103000000.0,114003000000.0,1680000000.0
+中国电信,2024,188124972669.72,325377170444.26,3267036668.35
+中国联通,2024,158807525633.0,265979677614.0,2462505124.0
+","corporate,year,速动比率
+中国东航,2024,0.15282931150934626
+中国电信,2024,0.5681343154744711
+中国联通,2024,0.5878081435074674
+美的集团,2024,0.9258279165784089
+"
+CN,fundamental,对于2023年的速动比率，隆基绿能、东方财富、中远海控、恒生电子中最高的那家公司领先第二名多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.1001,hard,solvency,(流动资产合计 - 存货) / 流动负债合计,"corporate,year,流动资产合计,流动负债合计,存货
+隆基绿能,2023,99860632035.64,71560306758.22,21539560787.57
+东方财富,2023,215971274392.91,150079777469.07,0.0
+中远海控,2023,202579526858.83,127358386877.16,6561355165.63
+恒生电子,2023,6070009818.68,5222321777.17,595124892.06
+","corporate,year,速动比率
+东方财富,2023,1.4390431411548408
+中远海控,2023,1.5391068974692956
+恒生电子,2023,1.0483622343138852
+隆基绿能,2023,1.094476460430676
+"
+CN,fundamental,对于康龙化成、汇川技术、润泽科技在2017年速动比率的值，计算最低的公司与第二名之间的差距。按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.2325,hard,solvency,(流动资产合计 - 存货) / 流动负债合计,"corporate,year,流动资产合计,流动负债合计,存货
+康龙化成,2017,1078175213.81,941018511.62,93266692.26
+汇川技术,2017,7073266729.15,3156299345.48,1031200608.57
+润泽科技,2017,966791950.25,647413789.57,439732695.11
+","corporate,year,速动比率
+康龙化成,2017,1.0466409633689795
+汇川技术,2017,1.9142880504134
+润泽科技,2017,0.8140995197060333
+"
+CN,fundamental,在澜起科技、生益科技、鹏鼎控股、中国神华中，2024年资产负债率最低的那家公司，比第二名低出多少？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,18.9238,hard,solvency,负债合计 / 资产合计 * 100%,"corporate,year,负债合计,资产合计
+澜起科技,2024,822405821.47,12218911386.38
+生益科技,2024,11138288223.06,27643247046.83
+鹏鼎控股,2024,12221053256.17,44542561839.93
+中国神华,2024,171377000000.0,668022000000.0
+","corporate,year,资产负债率
+中国神华,2024,25.65439461574619
+澜起科技,2024,6.7305981315709325
+生益科技,2024,40.29298079270788
+鹏鼎控股,2024,27.436799212600487
+"
+CN,fundamental,科伦药业、福耀玻璃、中航成飞、中国动力里，2020年资产负债率最低的企业与第二名相差多少？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,5.1012,hard,solvency,负债合计 / 资产合计 * 100%,"corporate,year,负债合计,资产合计
+科伦药业,2020,17980177196.0,31983345963.0
+福耀玻璃,2020,16832717886.0,38423625184.0
+中航成飞,2020,958488234.91,2933073285.37
+中国动力,2020,22193664389.64,58744689010.3
+","corporate,year,资产负债率
+中国动力,2020,37.77986531812037
+中航成飞,2020,32.67863233049388
+福耀玻璃,2020,43.80825027673162
+科伦药业,2020,56.21731139950275
+"
+CN,fundamental,2020年，在华大九天、长春高新、洛阳钼业中，资产负债率最高的公司与第二名之间的差距是多少？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,25.2868,hard,solvency,负债合计 / 资产合计 * 100%,"corporate,year,负债合计,资产合计
+华大九天,2020,483346436.64,1340618263.33
+长春高新,2020,4521388510.16,16844623212.07
+洛阳钼业,2020,75106394886.46,122441249889.87
+","corporate,year,资产负债率
+华大九天,2020,36.053994627777335
+洛阳钼业,2020,61.340761348005344
+长春高新,2020,26.841731353896968
+"
+CN,fundamental,对于2019年的资产负债率，豪威集团、包钢股份、盐湖股份中最高的那家公司领先第二名多少？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,170.4729,hard,solvency,负债合计 / 资产合计 * 100%,"corporate,year,负债合计,资产合计
+豪威集团,2019,9520846719.87,17476223432.68
+包钢股份,2019,86105367455.37,147086621076.18
+盐湖股份,2019,51600165741.21,22531500338.9
+","corporate,year,资产负债率
+包钢股份,2019,58.54058433416169
+盐湖股份,2019,229.01344768472325
+豪威集团,2019,54.478856696615075
+"
+CN,fundamental,对于片仔癀、士兰微、宁德时代在2021年资产负债率的值，计算最低的公司与第二名之间的差距。（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,29.4755,hard,solvency,负债合计 / 资产合计 * 100%,"corporate,year,负债合计,资产合计
+片仔癀,2021,2383625235.31,12521151432.34
+士兰微,2021,6697782949.95,13806362735.28
+宁德时代,2021,215044686400.0,307666860900.0
+","corporate,year,资产负债率
+士兰微,2021,48.51229160331173
+宁德时代,2021,69.89530356663771
+片仔癀,2021,19.036789453352526
+"
+CN,fundamental,在天赐材料、中煤能源、中国神华、宁沪高速、昆仑万维中，2021年产权比率最低的那家公司，比第二名低出多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0156,hard,solvency,负债合计 / 股东权益合计,"corporate,year,负债合计,股东权益合计
+天赐材料,2021,6529316159.56,7369864264.81
+中煤能源,2021,179539134000.0,143071261000.0
+中国神华,2021,161376000000.0,445451000000.0
+宁沪高速,2021,36609247476.85,37637584166.47
+昆仑万维,2021,4607913967.28,13290761624.19
+","corporate,year,产权比率
+中国神华,2021,0.3622755364787597
+中煤能源,2021,1.2548930703839956
+天赐材料,2021,0.885947953035785
+宁沪高速,2021,0.9726779305209469
+昆仑万维,2021,0.3467005200735309
+"
+CN,fundamental,中航光电、恒瑞医药、中国石油里，2023年产权比率最低的企业与第二名相差多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.5487,hard,solvency,负债合计 / 股东权益合计,"corporate,year,负债合计,股东权益合计
+中航光电,2023,13555459170.82,22014445151.45
+恒瑞医药,2023,2751420194.43,41033086441.33
+中国石油,2023,1123693000000.0,1635544000000.0
+","corporate,year,产权比率
+中国石油,2023,0.6870454111904052
+中航光电,2023,0.6157529330203063
+恒瑞医药,2023,0.06705369819947715
+"
+CN,fundamental,2017年，在中兴通讯、南山铝业、龙佰集团、海天味业、牧原股份中，产权比率最低的公司与第二名之间的差距是多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0603,hard,solvency,负债合计 / 股东权益合计,"corporate,year,负债合计,股东权益合计
+中兴通讯,2017,98582068000.0,45380147000.0
+南山铝业,2017,11380560763.48,34659961635.81
+龙佰集团,2017,7512147309.43,13334206510.74
+海天味业,2017,4571838748.16,11764173507.61
+牧原股份,2017,11308025403.4,12736609504.16
+","corporate,year,产权比率
+中兴通讯,2017,2.172361142858352
+南山铝业,2017,0.32834891403116345
+海天味业,2017,0.3886238795443277
+牧原股份,2017,0.8878363900303766
+龙佰集团,2017,0.5633741537885559
+"
+CN,fundamental,对于2017年的产权比率，中国巨石、华鲁恒升、中信建投、中海油服中最高的那家公司领先第二名多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.5477,hard,solvency,负债合计 / 股东权益合计,"corporate,year,负债合计,股东权益合计
+中国巨石,2017,12238394938.91,12553413262.43
+华鲁恒升,2017,6732510541.04,9289259245.23
+中信建投,2017,161884614231.93,43998778210.71
+中海油服,2017,39253811260.0,34687485174.0
+","corporate,year,产权比率
+中信建投,2017,3.679297944517121
+中国巨石,2017,0.9749057633223316
+中海油服,2017,1.1316418893757882
+华鲁恒升,2017,0.7247629077094732
+"
+CN,fundamental,对于中国化学、福耀玻璃、中国联通、中油资本、华鲁恒升在2022年产权比率的值，计算最高的公司与第二名之间的差距。按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.4915,hard,solvency,负债合计 / 股东权益合计,"corporate,year,负债合计,股东权益合计
+中国化学,2022,136240379027.47,58325267140.15
+福耀玻璃,2022,21779200663.0,28988298128.0
+中国联通,2022,297412554267.0,347274473340.0
+中油资本,2022,848101702117.84,175686050000.55
+华鲁恒升,2022,7084584622.74,27920861080.99
+","corporate,year,产权比率
+中国化学,2022,2.3358723535735804
+中国联通,2022,0.856419279558787
+中油资本,2022,4.827370767998853
+华鲁恒升,2022,0.2537380420392392
+福耀玻璃,2022,0.7513100826696452
+"
+CN,fundamental,在国投电力、中国船舶、新奥股份、浪潮信息中，2023年净债务权益比最低的那家公司，比第二名低出多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.8,hard,solvency,净债务权益比 = 净债务 / 股东权益合计；净债务 = 有息负债（短期借款 + 一年内到期非流动负债 + 长期借款 + 应付债券 + 租赁负债 + 应付利息 + 应付短期债券 + 交易性金融负债 + 卖出回购金融资产款）- 现金类资产（货币资金 + 交易性金融资产）,"corporate,year,短期借款,一年内到期的非流动负债,长期借款,应付债券,租赁负债,应付利息,应付短期债券,交易性金融负债,卖出回购金融资产款,货币资金,交易性金融资产,股东权益合计
+国投电力,2023,9412127723.77,12394106853.32,113672147814.97,11958214717.65,828370922.62,0.0,0.0,0.0,0.0,11358005093.47,138419158.5,102117360198.35
+中国船舶,2023,5583317490.72,6362117562.77,13366739096.29,0.0,115583308.18,0.0,0.0,13855846.75,0.0,67964961318.7,1785765.95,52472529042.23
+新奥股份,2023,9554320000.0,2428320000.0,8745910000.0,12842340000.0,362060000.0,0.0,0.0,0.0,0.0,16673440000.0,200110000.0,58536650000.0
+浪潮信息,2023,2051618888.91,1663595346.65,8126207218.93,0.0,24949313.08,0.0,0.0,8958527.77,0.0,12012862567.06,52289501.7,18284581821.41
+","corporate,year,净债务权益比
+中国船舶,2023,-0.8104266090493879
+国投电力,2023,1.3393270597154534
+新奥股份,2023,0.2914310948781661
+浪潮信息,2023,-0.010381575869442519
+"
+CN,fundamental,亿纬锂能、德赛西威、浪潮信息里，2025年净债务权益比最高的企业与第二名相差多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.4059,hard,solvency,净债务权益比 = 净债务 / 股东权益合计；净债务 = 有息负债（短期借款 + 一年内到期非流动负债 + 长期借款 + 应付债券 + 租赁负债 + 应付利息 + 应付短期债券 + 交易性金融负债 + 卖出回购金融资产款）- 现金类资产（货币资金 + 交易性金融资产）,"corporate,year,短期借款,一年内到期的非流动负债,长期借款,应付债券,租赁负债,应付利息,应付短期债券,交易性金融负债,卖出回购金融资产款,货币资金,交易性金融资产,股东权益合计
+亿纬锂能,2025,706335000.01,6540037582.45,20532087295.22,5192852266.29,89642292.96,0.0,0.0,0.0,0.0,8501799285.35,7785000000.0,44971430582.65
+德赛西威,2025,686545993.39,333252769.0,255008209.96,0.0,80428305.64,0.0,0.0,27387000.0,0.0,1448082802.51,3911086418.15,15562678516.3
+浪潮信息,2025,1899903366.72,2109415075.81,4417740898.46,1000000000.0,317792408.62,0.0,0.0,0.0,0.0,10324528707.12,146435793.49,22091537910.76
+","corporate,year,净债务权益比
+亿纬锂能,2025,0.37299580943398936
+德赛西威,2025,-0.25551815765551245
+浪潮信息,2025,-0.03286836588440213
+"
+CN,fundamental,2021年，在领益智造、保利发展、中国铝业、上港集团、潍柴动力中，净债务权益比最低的公司与第二名之间的差距是多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.6078,hard,solvency,净债务权益比 = 净债务 / 股东权益合计；净债务 = 有息负债（短期借款 + 一年内到期非流动负债 + 长期借款 + 应付债券 + 租赁负债 + 应付利息 + 应付短期债券 + 交易性金融负债 + 卖出回购金融资产款）- 现金类资产（货币资金 + 交易性金融资产）,"corporate,year,短期借款,一年内到期的非流动负债,长期借款,应付债券,租赁负债,应付利息,应付短期债券,交易性金融负债,卖出回购金融资产款,货币资金,交易性金融资产,股东权益合计
+领益智造,2021,3343756961.77,1226193198.77,3924851381.97,313607610.06,640247746.95,0.0,0.0,16799100.0,0.0,2865679195.51,207653507.05,15842276351.14
+保利发展,2021,4093562525.35,60574900070.92,231903603559.68,41619554419.26,4086397155.99,1282607256.22,0.0,6027209.74,0.0,171384456028.08,123375719.78,302914461403.14
+中国铝业,2021,11937178000.0,10470737000.0,42933121000.0,16222987000.0,10518530000.0,494085000.0,0.0,68871000.0,0.0,21084607000.0,0.0,89697568000.0
+上港集团,2021,531439418.27,6921547358.05,15181963209.21,15954855374.32,411446745.81,0.0,5085303561.64,158818737.62,0.0,28620980139.07,441159.9,107805629246.31
+潍柴动力,2021,2418042581.66,10762141725.17,12906667271.93,5932319194.5,5041121870.3,51535812.78,0.0,111876471.2,0.0,79678748969.61,6387192900.95,105514883337.09
+","corporate,year,净债务权益比
+上港集团,2021,0.14492706192784252
+中国铝业,2021,0.797802031823204
+保利发展,2021,0.5680112453274785
+潍柴动力,2021,-0.46289428939596095
+领益智造,2021,0.40348515297172094
+"
+CN,fundamental,对于2022年的净债务权益比，中国铁建、中国化学、金龙鱼、美的集团中最高的那家公司领先第二名多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.2465,hard,solvency,净债务权益比 = 净债务 / 股东权益合计；净债务 = 有息负债（短期借款 + 一年内到期非流动负债 + 长期借款 + 应付债券 + 租赁负债 + 应付利息 + 应付短期债券 + 交易性金融负债 + 卖出回购金融资产款）- 现金类资产（货币资金 + 交易性金融资产）,"corporate,year,短期借款,一年内到期的非流动负债,长期借款,应付债券,租赁负债,应付利息,应付短期债券,交易性金融负债,卖出回购金融资产款,货币资金,交易性金融资产,股东权益合计
+中国铁建,2022,51367562000.0,45527795000.0,133415428000.0,28096696000.0,2451292000.0,0.0,0.0,0.0,0.0,158424810000.0,961298000.0,385920052000.0
+中国化学,2022,540743886.21,99841804.64,5593542788.7,699963018.87,1220477159.71,26941331.75,0.0,0.0,0.0,42091653450.75,1095462958.17,58325267140.15
+金龙鱼,2022,88013092000.0,2734188000.0,15722473000.0,500636000.0,115475000.0,0.0,0.0,0.0,0.0,39461617000.0,20104992000.0,93283406000.0
+美的集团,2022,5169480000.0,7240626000.0,50685948000.0,3163616000.0,1507480000.0,0.0,0.0,1580771000.0,0.0,55270099000.0,3284593000.0,151923802000.0
+","corporate,year,净债务权益比
+中国化学,2022,-0.6001791013648493
+中国铁建,2022,0.26293701110923356
+美的集团,2022,0.07104369992004281
+金龙鱼,2022,0.509407375198114
+"
+CN,fundamental,对于龙佰集团、川投能源、中国国航在2025年净债务权益比的值，计算最高的公司与第二名之间的差距。按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,4.6089,hard,solvency,净债务权益比 = 净债务 / 股东权益合计；净债务 = 有息负债（短期借款 + 一年内到期非流动负债 + 长期借款 + 应付债券 + 租赁负债 + 应付利息 + 应付短期债券 + 交易性金融负债 + 卖出回购金融资产款）- 现金类资产（货币资金 + 交易性金融资产）,"corporate,year,短期借款,一年内到期的非流动负债,长期借款,应付债券,租赁负债,应付利息,应付短期债券,交易性金融负债,卖出回购金融资产款,货币资金,交易性金融资产,股东权益合计
+龙佰集团,2025,6773138420.45,4259586136.1,12312373014.55,500000000.0,8043889.75,264896.5,0.0,0.0,0.0,9127297768.83,0.0,27352130431.63
+川投能源,2025,2310478943.05,2449130994.67,5687960605.27,8600000000.0,147065277.3,24456739.52,0.0,0.0,0.0,1456853022.79,1704240000.0,46731101124.37
+中国国航,2025,6560932000.0,46024492000.0,60858057000.0,32000000000.0,61452171000.0,0.0,11051420000.0,0.0,0.0,15859324000.0,151633000.0,39231513000.0
+","corporate,year,净债务权益比
+中国国航,2025,5.147293580036028
+川投能源,2025,0.3436255331172979
+龙佰集团,2025,0.5383898203223954
+"
+CN,fundamental,在宝信软件、科伦药业、四川路桥中，2020年利息保障倍数最高的那家公司，比第二名高出多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1150.2381,hard,solvency,利息保障倍数 = EBIT / 利息支出 = (利润总额 + 利息支出) / 利息支出,"corporate,year,利润总额,财务费用——利息费用
+宝信软件,2020,1560512970.65,1354659.77
+科伦药业,2020,955030821.0,554856904.0
+四川路桥,2020,3667541169.0,2305114237.44
+","corporate,year,利息保障倍数
+四川路桥,2020,2.5910452980729826
+宝信软件,2020,1152.959337103515
+科伦药业,2020,2.7212200373017255
+"
+CN,fundamental,阿特斯、海南机场、山西汾酒、复星医药里，2020年利息保障倍数最高的企业与第二名相差多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,600.9663,hard,solvency,利息保障倍数 = EBIT / 利息支出 = (利润总额 + 利息支出) / 利息支出,"corporate,year,利润总额,财务费用——利息费用
+阿特斯,2020,1497428350.58,358234829.92
+海南机场,2020,-10120915383.57,3327927670.39
+山西汾酒,2020,4236616296.4,6987929.96
+复星医药,2020,4677844351.41,880952446.37
+","corporate,year,利息保障倍数
+复星医药,2020,6.309985085670907
+山西汾酒,2020,607.2762965071275
+海南机场,2020,-2.0412065363139127
+阿特斯,2020,5.180018874530992
+"
+CN,fundamental,2025年，在双汇发展、新产业、藏格矿业中，利息保障倍数最低的公司与第二名之间的差距是多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,171.0124,hard,solvency,利息保障倍数 = EBIT / 利息支出 = (利润总额 + 利息支出) / 利息支出,"corporate,year,利润总额,财务费用——利息费用
+双汇发展,2025,6672606513.98,149496882.26
+新产业,2025,1855267100.24,530512.39
+藏格矿业,2025,4055322495.43,18805450.47
+","corporate,year,利息保障倍数
+双汇发展,2025,45.63375030373694
+新产业,2025,3498.1230365420874
+藏格矿业,2025,216.6461235480311
+"
+CN,fundamental,对于2024年的利息保障倍数，三峡能源、阿特斯、山金国际中最高的那家公司领先第二名多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,57.2451,hard,solvency,利息保障倍数 = EBIT / 利息支出 = (利润总额 + 利息支出) / 利息支出,"corporate,year,利润总额,财务费用——利息费用
+三峡能源,2024,8557236576.87,4296159518.01
+阿特斯,2024,2579734453.55,486335271.55
+山金国际,2024,3173600804.66,50737373.63
+","corporate,year,利息保障倍数
+三峡能源,2024,2.991833995222261
+山金国际,2024,63.54956805220822
+阿特斯,2024,6.304436269506269
+"
+CN,fundamental,对于用友网络、汇川技术、中国广核、新产业在2022年利息保障倍数的值，计算最低的公司与第二名之间的差距。按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.2801,hard,solvency,利息保障倍数 = EBIT / 利息支出 = (利润总额 + 利息支出) / 利息支出,"corporate,year,利润总额,财务费用——利息费用
+用友网络,2022,246806945.0,153104849.0
+汇川技术,2022,4476619682.54,153068406.05
+中国广核,2022,18700132726.93,6465851164.62
+新产业,2022,1501201625.41,274749.02
+","corporate,year,利息保障倍数
+中国广核,2022,3.8921378254503964
+新产业,2022,5464.901656173332
+汇川技术,2022,30.2458763899175
+用友网络,2022,2.6120125953685505
+"
+CN,fundamental,在新和成、宁沪高速、豪威集团中，2022年净债务/EBITDA最高的那家公司，比第二名高出多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.2678,hard,solvency,净债务 / EBITDA；净债务 = 有息负债（短期借款 + 一年内到期非流动负债 + 长期借款 + 应付债券 + 租赁负债 + 应付利息 + 应付短期债券 + 交易性金融负债 + 卖出回购金融资产款）- 现金类资产（货币资金 + 交易性金融资产）；EBITDA = 利润总额 + 利息支出 + 折旧与摊销,"corporate,year,短期借款,一年内到期的非流动负债,长期借款,应付债券,租赁负债,应付利息,应付短期债券,交易性金融负债,卖出回购金融资产款,货币资金,交易性金融资产,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+新和成,2022,1846373441.01,2591687706.22,5273637508.87,0.0,2822404.07,0.0,0.0,0.0,0.0,5343851967.72,720314576.43,4238102948.85,329243757.49,1347167649.18,43000548.86,6626543.66
+宁沪高速,2022,2434124067.61,1815208560.25,16053597366.94,9972337481.34,20300291.44,0.0,0.0,0.0,0.0,932931344.38,3474620148.26,4581022574.4,1098642030.08,611851468.43,1433933951.4,2686797.77
+豪威集团,2022,3632355345.64,3919929435.86,2749776000.0,2346778083.2,145313448.99,0.0,0.0,0.0,0.0,4026146411.11,14010136.2,1301322593.3,493887828.44,419226655.19,545879481.6,80032225.9
+","corporate,year,净债务/EBITDA
+宁沪高速,2022,3.3498392783336266
+新和成,2022,0.6120502922041892
+豪威集团,2022,3.0820143689278456
+"
+CN,fundamental,爱尔眼科、海南机场、大秦铁路、圆通速递、中国铝业里，2025年净债务/EBITDA最高的企业与第二名相差多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,11.4749,hard,solvency,净债务 / EBITDA；净债务 = 有息负债（短期借款 + 一年内到期非流动负债 + 长期借款 + 应付债券 + 租赁负债 + 应付利息 + 应付短期债券 + 交易性金融负债 + 卖出回购金融资产款）- 现金类资产（货币资金 + 交易性金融资产）；EBITDA = 利润总额 + 利息支出 + 折旧与摊销,"corporate,year,短期借款,一年内到期的非流动负债,长期借款,应付债券,租赁负债,应付利息,应付短期债券,交易性金融负债,卖出回购金融资产款,货币资金,交易性金融资产,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+爱尔眼科,2025,1527490531.68,834556330.87,139551779.06,0.0,4715478467.57,0.0,0.0,0.0,0.0,5295331616.35,1055281333.04,4425135001.83,269717423.59,1728975753.57,49555455.28,456715490.16
+海南机场,2025,1444163511.51,2634784093.83,16887624984.1,999053126.12,10531462.67,33981395.41,0.0,0.0,0.0,3865694651.75,114312422.6,203216000.67,584618880.94,641780882.23,39865576.08,4217560.26
+大秦铁路,2025,289147358.0,1372082993.0,9836518799.0,0.0,2151433413.0,0.0,0.0,0.0,0.0,35850008755.0,0.0,8574289114.0,375443621.0,5404566710.0,315696903.0,132589944.0
+圆通速递,2025,4064394283.35,1046201770.5,1664280376.35,499059136.87,478721809.06,0.0,0.0,0.0,0.0,7423701456.58,1405504799.25,5302589712.58,146888792.4,2503483798.76,203771862.91,175766323.55
+中国铝业,2025,7385390000.0,11552584000.0,27214688000.0,8994952000.0,8443353000.0,0.0,0.0,0.0,0.0,29238071000.0,4409215000.0,25839529000.0,2341729000.0,10031749000.0,760002000.0,444005000.0
+","corporate,year,净债务/EBITDA
+中国铝业,2025,0.759663859875332
+圆通速递,2025,-0.12919877784179515
+大秦铁路,2025,-1.4997937356391802
+海南机场,2025,12.234610134463539
+爱尔眼科,2025,0.1250291149134561
+"
+CN,fundamental,2022年，在中国核电、上汽集团、恒生电子中，净债务/EBITDA最高的公司与第二名之间的差距是多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,6.9032,hard,solvency,净债务 / EBITDA；净债务 = 有息负债（短期借款 + 一年内到期非流动负债 + 长期借款 + 应付债券 + 租赁负债 + 应付利息 + 应付短期债券 + 交易性金融负债 + 卖出回购金融资产款）- 现金类资产（货币资金 + 交易性金融资产）；EBITDA = 利润总额 + 利息支出 + 折旧与摊销,"corporate,year,短期借款,一年内到期的非流动负债,长期借款,应付债券,租赁负债,应付利息,应付短期债券,交易性金融负债,卖出回购金融资产款,货币资金,交易性金融资产,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+中国核电,2022,15364517114.47,23419187470.4,208511267907.01,8999285988.37,2789770519.36,0.0,0.0,0.0,0.0,16161671502.14,1907551.66,19569774848.11,7640989321.4,15515158413.4,216591683.06,136563933.99
+上汽集团,2022,38337475598.51,39543710127.34,34555464051.99,15122421304.69,10746800774.69,71057893.27,0.0,51500458.6,0.0,155156629467.12,45230022623.99,28071080464.14,2706128980.08,15327697505.08,2081088946.9,820459351.7
+恒生电子,2022,54993749.99,17061706.54,115834519.89,0.0,34984527.44,0.0,0.0,0.0,0.0,2872634365.36,1497708252.01,1124576138.61,20893866.14,132980236.9,47228100.47,985211.96
+","corporate,year,净债务/EBITDA
+上汽集团,2022,-1.2642869509456103
+中国核电,2022,5.6389426166049095
+恒生电子,2022,-3.12623958105651
+"
+CN,fundamental,对于2022年的净债务/EBITDA，万泰生物、盛美上海、立讯精密、中国人寿中最低的那家公司领先第二名多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.6858,hard,solvency,净债务 / EBITDA；净债务 = 有息负债（短期借款 + 一年内到期非流动负债 + 长期借款 + 应付债券 + 租赁负债 + 应付利息 + 应付短期债券 + 交易性金融负债 + 卖出回购金融资产款）- 现金类资产（货币资金 + 交易性金融资产）；EBITDA = 利润总额 + 利息支出 + 折旧与摊销,"corporate,year,短期借款,一年内到期的非流动负债,长期借款,应付债券,租赁负债,应付利息,应付短期债券,交易性金融负债,卖出回购金融资产款,货币资金,交易性金融资产,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+万泰生物,2022,140139473.16,16800729.37,102487800.0,0.0,18427692.63,0.0,0.0,0.0,0.0,5192247920.74,2008612909.18,5582691093.16,7669723.73,137164144.68,14736129.42,6633811.57
+盛美上海,2022,390372777.79,25890120.12,130133420.86,0.0,7727998.97,0.0,0.0,0.0,0.0,1562384721.34,140730269.72,716696265.53,12006970.59,34737467.0,4377425.73,16787999.65
+立讯精密,2022,14911899668.93,1232252431.14,9205313060.94,2689623546.98,800739041.51,0.0,0.0,44318321.5,0.0,19367209441.41,1353266499.91,11157994984.3,1038070641.24,7402572021.23,170869522.76,395513128.13
+中国人寿,2022,0.0,0.0,12774000000.0,34997000000.0,1569000000.0,0.0,0.0,3344000000.0,148954000000.0,128953000000.0,223782000000.0,24047000000.0,0.0,4568000000.0,360000000.0,363000000.0
+","corporate,year,净债务/EBITDA
+万泰生物,2022,-1.2042323354488818
+中国人寿,2022,-5.150214738564319
+盛美上海,2022,-1.4644171535043011
+立讯精密,2022,0.4048431397129481
+"
+CN,fundamental,对于大华股份、中国能建、中国银河在2024年净债务/EBITDA的值，计算最低的公司与第二名之间的差距。按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0196,hard,solvency,净债务 / EBITDA；净债务 = 有息负债（短期借款 + 一年内到期非流动负债 + 长期借款 + 应付债券 + 租赁负债 + 应付利息 + 应付短期债券 + 交易性金融负债 + 卖出回购金融资产款）- 现金类资产（货币资金 + 交易性金融资产）；EBITDA = 利润总额 + 利息支出 + 折旧与摊销,"corporate,year,短期借款,一年内到期的非流动负债,长期借款,应付债券,租赁负债,应付利息,应付短期债券,交易性金融负债,卖出回购金融资产款,货币资金,交易性金融资产,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+大华股份,2024,995000000.0,117227812.08,0.0,0.0,114313807.41,0.0,0.0,4268603.52,0.0,11181803423.83,229927529.28,2989469554.64,45574086.2,755841915.34,39185300.46,66984132.0
+中国能建,2024,40192548000.0,23750753000.0,193009617000.0,13999319000.0,2720892000.0,0.0,0.0,0.0,0.0,91162208000.0,420989000.0,15127803000.0,6761837000.0,5326693000.0,2824047000.0,258980000.0
+中国银河,2024,13503921636.85,0.0,0.0,99096012863.82,1584107602.31,0.0,0.0,44018096756.42,176704613196.33,144890447061.36,220760816602.27,10518630296.62,0.0,828765992.03,269293585.8,63939955.62
+","corporate,year,净债务/EBITDA
+中国能建,2024,6.009695650337169
+中国银河,2024,-2.6320936503571866
+大华股份,2024,-2.61246524870129
+"
+CN,fundamental,在双汇发展、中国化学、通威股份中，2022年营业收入增长率最高的那家公司，比第二名高出多少？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,104.8071,hard,growth,(本期营业收入 - 上期营业收入) / 上期营业收入 * 100%,"corporate,year,营业收入
+双汇发展,2021,66682260352.97
+双汇发展,2022,62575635903.48
+中国化学,2021,137288977645.02
+中国化学,2022,157716226323.22
+通威股份,2021,64829996083.91
+通威股份,2022,142422517994.99
+","corporate,year,营业收入增长率
+中国化学,2022,14.879015801995063
+双汇发展,2022,-6.158496169374514
+通威股份,2022,119.68614314067108
+"
+CN,fundamental,南方航空、陕西煤业、阳光电源、五粮液、智飞生物里，2023年营业收入增长率最高的企业与第二名相差多少？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,4.2294,hard,growth,(本期营业收入 - 上期营业收入) / 上期营业收入 * 100%,"corporate,year,营业收入
+南方航空,2022,87059000000.0
+南方航空,2023,159929000000.0
+陕西煤业,2022,166847725959.23
+陕西煤业,2023,181471814714.54
+阳光电源,2022,40257239155.34
+阳光电源,2023,72250674939.46
+五粮液,2022,73968640704.54
+五粮液,2023,83272067317.19
+智飞生物,2022,38264011331.74
+智飞生物,2023,52963312548.05
+","corporate,year,营业收入增长率
+五粮液,2023,12.577528157927864
+南方航空,2023,83.70185736109994
+智飞生物,2023,38.41547371724965
+阳光电源,2023,79.4725034686741
+陕西煤业,2023,8.764931419492921
+"
+CN,fundamental,2022年，在领益智造、通威股份、保利发展中，营业收入增长率最低的公司与第二名之间的差距是多少？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,14.8688,hard,growth,(本期营业收入 - 上期营业收入) / 上期营业收入 * 100%,"corporate,year,营业收入
+领益智造,2021,30384494153.3
+领益智造,2022,34484678505.9
+通威股份,2021,64829996083.91
+通威股份,2022,142422517994.99
+保利发展,2021,284933136294.19
+保利发展,2022,281016698161.88
+","corporate,year,营业收入增长率
+保利发展,2022,-1.374511291753137
+通威股份,2022,119.68614314067108
+领益智造,2022,13.494331457068833
+"
+CN,fundamental,对于2019年的营业收入增长率，国投资本、中国东航、藏格矿业、海天味业、华大九天中最低的那家公司领先第二名多少？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,47.0455,hard,growth,(本期营业收入 - 上期营业收入) / 上期营业收入 * 100%,"corporate,year,营业收入
+国投资本,2018,2364308198.5
+国投资本,2019,668103209.1
+中国东航,2018,114930000000.0
+中国东航,2019,120860000000.0
+藏格矿业,2018,2680568343.25
+藏格矿业,2019,2018557840.82
+海天味业,2018,17034475127.23
+海天味业,2019,19796889800.07
+华大九天,2018,150781951.28
+华大九天,2019,257219984.89
+","corporate,year,营业收入增长率
+中国东航,2019,5.159662403201949
+华大九天,2019,70.59069915625778
+国投资本,2019,-71.74212695604287
+海天味业,2019,16.21661161971593
+藏格矿业,2019,-24.696647041177805
+"
+CN,fundamental,对于中国联通、立讯精密、北方稀土、山东黄金、中微公司在2024年营业收入增长率的值，计算最低的公司与第二名之间的差距。（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,6.1448,hard,growth,(本期营业收入 - 上期营业收入) / 上期营业收入 * 100%,"corporate,year,营业收入
+中国联通,2023,372596794135.0
+中国联通,2024,389589219642.0
+立讯精密,2023,231905459829.83
+立讯精密,2024,268794737612.58
+北方稀土,2023,33496993130.09
+北方稀土,2024,32966314898.03
+山东黄金,2023,59275274514.67
+山东黄金,2024,82517993538.3
+中微公司,2023,6263513581.37
+中微公司,2024,9065165097.69
+","corporate,year,营业收入增长率
+中国联通,2024,4.560539911903609
+中微公司,2024,44.72971088708334
+北方稀土,2024,-1.5842563241394305
+山东黄金,2024,39.21149115535126
+立讯精密,2024,15.907032895999516
+"
+CN,fundamental,在科大讯飞、华利集团、京沪高铁、恒瑞医药、中国海油中，2024年EBITDA增长率最低的那家公司，比第二名低出多少？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,4.8132,hard,growth,EBITDA增长率 = (本期EBITDA - 上期EBITDA) / 上期EBITDA * 100%；EBITDA = 利润总额 + 利息支出 + 折旧与摊销,"corporate,year,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+科大讯飞,2023,419771002.71,96251666.74,527097248.68,1318318955.74,84878078.83
+科大讯飞,2024,229094931.51,194798266.37,903785603.42,1411532204.47,69996469.71
+华利集团,2023,4036124486.47,71098773.3,688170468.01,32453059.13,156395342.04
+华利集团,2024,4947870288.03,42252229.27,664688656.16,29457163.65,175960691.95
+京沪高铁,2023,15308959165.08,2586741724.52,5205767196.04,719765626.23,0.0
+京沪高铁,2024,17112973671.28,1950673678.05,5104698038.27,752993151.55,0.0
+恒瑞医药,2023,4667109690.24,5903776.07,666539062.29,38096588.6,89301645.12
+恒瑞医药,2024,7169689995.75,5558751.08,708766111.88,67263980.25,94789854.75
+中国海油,2023,172974000000.0,2423000000.0,67882000000.0,900000000.0,165000000.0
+中国海油,2024,189976000000.0,2807000000.0,73427000000.0,973000000.0,206000000.0
+","corporate,year,EBITDA增长率
+中国海油,2024,9.431375437907214
+京沪高铁,2024,4.618168985646726
+华利集团,2024,17.5751273201998
+恒瑞医药,2024,47.17653484582519
+科大讯飞,2024,14.834158034161435
+"
+CN,fundamental,中海油服、宁沪高速、上海医药里，2021年EBITDA增长率最高的企业与第二名相差多少？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,52.1933,hard,growth,EBITDA增长率 = (本期EBITDA - 上期EBITDA) / 上期EBITDA * 100%；EBITDA = 利润总额 + 利息支出 + 折旧与摊销,"corporate,year,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+中海油服,2020,3378739890.0,888127048.0,4118664389.0,66519295.0,630926271.0
+中海油服,2021,1089549291.0,817568814.0,3924616014.0,75035977.0,867126914.0
+宁沪高速,2020,3233635943.77,436079760.4,219046890.07,1408658667.39,7869358.1
+宁沪高速,2021,5566399422.24,869888309.4,494420385.44,1676326805.39,4776305.37
+上海医药,2020,7175482563.63,1411892516.32,1673889079.93,463904324.43,160659274.1
+上海医药,2021,8143814892.36,1518228462.53,1713877274.49,425927091.89,186893020.66
+","corporate,year,EBITDA增长率
+上海医药,2021,10.131640955534388
+中海油服,2021,-25.422060522685513
+宁沪高速,2021,62.324966625075795
+"
+CN,fundamental,2021年，在宁德时代、万华化学、华大九天中，EBITDA增长率最高的公司与第二名之间的差距是多少？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.5755,hard,growth,EBITDA增长率 = (本期EBITDA - 上期EBITDA) / 上期EBITDA * 100%；EBITDA = 利润总额 + 利息支出 + 折旧与摊销,"corporate,year,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+宁德时代,2020,6982553400.0,640434300.0,4576797800.0,135243800.0,155847900.0
+宁德时代,2021,19887129100.0,1161100400.0,5937168400.0,159202600.0,340253100.0
+万华化学,2020,11732186087.46,1208271635.14,4922440387.32,308368597.71,5667539.5
+万华化学,2021,29151469788.14,2034261425.04,7775952421.13,381739202.94,3079203.19
+华大九天,2020,103558656.06,0.0,8523563.43,11229216.03,1943251.01
+华大九天,2021,139305915.64,1921022.23,35801900.37,25185555.75,10820281.26
+","corporate,year,EBITDA增长率
+万华化学,2021,116.46390697954207
+华大九天,2021,70.08120107264456
+宁德时代,2021,120.03941884882192
+"
+CN,fundamental,对于2024年的EBITDA增长率，中航机载、温氏股份、泰格医药中最低的那家公司领先第二名多少？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,37.4202,hard,growth,EBITDA增长率 = (本期EBITDA - 上期EBITDA) / 上期EBITDA * 100%；EBITDA = 利润总额 + 利息支出 + 折旧与摊销,"corporate,year,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+中航机载,2023,2256687626.04,280332607.47,1269613732.36,218177473.21,15264159.83
+中航机载,2024,1308469103.11,270623318.74,1327541244.48,199584847.25,8940267.87
+温氏股份,2023,-6370677489.2,1301447487.26,5327517174.03,55092498.19,52062833.71
+温氏股份,2024,9654325308.2,1122851211.6,5296978833.85,55332771.74,73974558.11
+泰格医药,2023,2488533058.16,119897366.25,231509470.66,74175980.91,33337538.65
+泰格医药,2024,664461508.3,141235382.04,235347909.54,88792330.09,39895400.15
+","corporate,year,EBITDA增长率
+中航机载,2024,-22.89355223227852
+泰格医药,2024,-60.3137907349474
+温氏股份,2024,4333.929416142407
+"
+CN,fundamental,对于牧原股份、四川路桥、鹏鼎控股、公牛集团在2025年EBITDA增长率的值，计算最高的公司与第二名之间的差距。（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,9.383,hard,growth,EBITDA增长率 = (本期EBITDA - 上期EBITDA) / 上期EBITDA * 100%；EBITDA = 利润总额 + 利息支出 + 折旧与摊销,"corporate,year,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+牧原股份,2024,18896478910.64,3177468228.97,15067598105.54,29772853.8,11464610.83
+牧原股份,2025,15809937800.4,2556832463.42,15295755988.07,32057648.99,10696376.09
+四川路桥,2024,9155041545.74,2973341682.92,1023903121.33,821436237.27,528175426.85
+四川路桥,2025,9360479595.2,2332952892.59,566872653.32,839444466.48,714354066.01
+鹏鼎控股,2024,4044464846.25,113651755.74,2972534773.48,110154233.32,533120.02
+鹏鼎控股,2025,4283768236.66,125035367.53,3232839208.56,113208147.1,695548.28
+公牛集团,2024,5080455920.7,17642919.79,264524971.32,12408400.51,578929.57
+公牛集团,2025,4905381965.08,16216500.05,302631820.75,11289678.79,17417500.74
+","corporate,year,EBITDA增长率
+公牛集团,2025,-2.282041487786428
+四川路桥,2025,-4.742788425630857
+牧原股份,2025,-9.352453418972686
+鹏鼎控股,2025,7.101004366419172
+"
+CN,fundamental,在天齐锂业、科大讯飞、百利天恒、晶盛机电中，2022年净利润增长率最高的那家公司，比第二名高出多少？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1022.9121,hard,growth,(本期净利润 - 上期净利润) / |上期净利润| * 100%,"corporate,year,净利润
+天齐锂业,2021,2590030655.99
+天齐锂业,2022,31108356432.36
+科大讯飞,2021,1610718319.56
+科大讯飞,2022,498628077.03
+百利天恒,2021,-99991297.88
+百利天恒,2022,-282379086.34
+晶盛机电,2021,1728261798.19
+晶盛机电,2022,3079218562.19
+","corporate,year,净利润增长率
+天齐锂业,2022,1101.0806266101629
+晶盛机电,2022,78.1685254754141
+百利天恒,2022,-182.40366144550336
+科大讯飞,2022,-69.04312374331161
+"
+CN,fundamental,中兴通讯、长安汽车、天坛生物、东方电气里，2021年净利润增长率最低的企业与第二名相差多少？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.7313,hard,growth,(本期净利润 - 上期净利润) / |上期净利润| * 100%,"corporate,year,净利润
+中兴通讯,2020,4721692000.0
+中兴通讯,2021,7035890000.0
+长安汽车,2020,3288478642.7
+长安汽车,2021,3604218189.98
+天坛生物,2020,943076591.99
+天坛生物,2021,1068813818.4
+东方电气,2020,1916264130.79
+东方电气,2021,2429223530.26
+","corporate,year,净利润增长率
+东方电气,2021,26.76872103526393
+中兴通讯,2021,49.01204907054505
+天坛生物,2021,13.33266327230962
+长安汽车,2021,9.601386585888324
+"
+CN,fundamental,2017年，在中航沈飞、上海机场、北新建材、中航光电中，净利润增长率最低的公司与第二名之间的差距是多少？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,14.9106,hard,growth,(本期净利润 - 上期净利润) / |上期净利润| * 100%,"corporate,year,净利润
+中航沈飞,2016,556229227.38
+中航沈飞,2017,703553991.52
+上海机场,2016,2965658928.29
+上海机场,2017,3857263053.18
+北新建材,2016,1465397146.47
+北新建材,2017,2354897830.36
+中航光电,2016,776488985.52
+中航光电,2017,866373254.1
+","corporate,year,净利润增长率
+上海机场,2017,30.064284074773866
+中航光电,2017,11.575730017574717
+中航沈飞,2017,26.486339963461127
+北新建材,2017,60.700314998751104
+"
+CN,fundamental,对于2018年的净利润增长率，中国中冶、芒果超媒、汇川技术、同花顺、TCL科技中最低的那家公司领先第二名多少？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,23.3927,hard,growth,(本期净利润 - 上期净利润) / |上期净利润| * 100%,"corporate,year,净利润
+中国中冶,2017,6711854000.0
+中国中冶,2018,7570607000.0
+芒果超媒,2017,805518489.88
+芒果超媒,2018,927574396.79
+汇川技术,2017,1091364762.41
+汇川技术,2018,1208720772.0
+同花顺,2017,725653800.79
+同花顺,2018,633934218.67
+TCL科技,2017,3544702000.0
+TCL科技,2018,4065198000.0
+","corporate,year,净利润增长率
+TCL科技,2018,14.683773135231116
+中国中冶,2018,12.79457211077595
+同花顺,2018,-12.639578545602234
+汇川技术,2018,10.75314263682558
+芒果超媒,2018,15.152464958089656
+"
+CN,fundamental,对于卫星化学、中兴通讯、时代电气、中油资本在2020年净利润增长率的值，计算最高的公司与第二名之间的差距。（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,31.4916,hard,growth,(本期净利润 - 上期净利润) / |上期净利润| * 100%,"corporate,year,净利润
+卫星化学,2019,1267268211.29
+卫星化学,2020,1657626320.24
+中兴通讯,2019,5776669000.0
+中兴通讯,2020,4721692000.0
+时代电气,2019,2657559361.0
+时代电气,2020,2496556928.0
+中油资本,2019,15222213768.7
+中油资本,2020,15117407051.96
+","corporate,year,净利润增长率
+中兴通讯,2020,-18.262721994284252
+中油资本,2020,-0.688511660212694
+卫星化学,2020,30.803116930759263
+时代电气,2020,-6.058281721293977
+"
+CN,fundamental,在中国船舶、申万宏源、华勤技术、晶科能源中，2023年每股收益增长率最低的那家公司，比第二名低出多少？（单位：%；净利润用归母净利润）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,70.1299,hard,growth,(本期每股收益 - 上期每股收益) / |上期每股收益| * 100%,"corporate,year,归属于母公司所有者的净利润,股本
+中国船舶,2022,172470350.07,4472428758.0
+中国船舶,2023,2957396962.72,4472428758.0
+申万宏源,2022,2789067875.31,25039944560.0
+申万宏源,2023,4606340168.13,25039944560.0
+华勤技术,2022,2563676750.43,651827169.0
+华勤技术,2023,2706874614.61,724252410.0
+晶科能源,2022,2938617906.61,10000000000.0
+晶科能源,2023,7440477243.96,10005196733.0
+","corporate,year,每股收益增长率
+中国船舶,2023,1614.727755535772
+华勤技术,2023,-4.972920133539309
+晶科能源,2023,153.06497378252507
+申万宏源,2023,65.15697623952639
+"
+CN,fundamental,中国太保、藏格矿业、思源电气里，2025年每股收益增长率最高的企业与第二名相差多少？（单位：%；净利润用归母净利润）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.5797,hard,growth,(本期每股收益 - 上期每股收益) / |上期每股收益| * 100%,"corporate,year,归属于母公司所有者的净利润,股本
+中国太保,2024,44960000000.0,9620000000.0
+中国太保,2025,53505000000.0,9620000000.0
+藏格矿业,2024,2579985938.8,1580435073.0
+藏格矿业,2025,3852353240.98,1570225745.0
+思源电气,2024,2049069550.48,777642620.0
+思源电气,2025,3150142665.04,782057732.0
+","corporate,year,每股收益增长率
+中国太保,2025,19.005782918149464
+思源电气,2025,52.86735940479003
+藏格矿业,2025,50.28766230860185
+"
+CN,fundamental,2021年，在潞安环能、恒瑞医药、春秋航空、长春高新中，每股收益增长率最低的公司与第二名之间的差距是多少？（单位：%；净利润用归母净利润）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,63.66,hard,growth,(本期每股收益 - 上期每股收益) / |上期每股收益| * 100%,"corporate,year,归属于母公司所有者的净利润,股本
+潞安环能,2020,1945561072.42,2991409200.0
+潞安环能,2021,6731113540.71,2991409200.0
+恒瑞医药,2020,6328383219.69,5331717041.0
+恒瑞医药,2021,4530217550.47,6396011914.0
+春秋航空,2020,-588413004.0,916462713.0
+春秋航空,2021,39111907.0,916462713.0
+长春高新,2020,3046586145.21,404720290.0
+长春高新,2021,3757472953.11,404720290.0
+","corporate,year,每股收益增长率
+恒瑞医药,2021,-40.326141952415924
+春秋航空,2021,106.64701608124216
+潞安环能,2021,245.9728731279279
+长春高新,2021,23.333881729150953
+"
+CN,fundamental,对于2017年的每股收益增长率，荣盛石化、紫光股份、北方华创中最高的那家公司领先第二名多少？（单位：%；净利润用归母净利润）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,56.8766,hard,growth,(本期每股收益 - 上期每股收益) / |上期每股收益| * 100%,"corporate,year,归属于母公司所有者的净利润,股本
+荣盛石化,2016,1920605766.75,2544000000.0
+荣盛石化,2017,2016654965.07,3816000000.0
+紫光股份,2016,814822574.6,1042303162.0
+紫光股份,2017,1565147285.01,1042303162.0
+北方华创,2016,92901564.99,458004372.0
+北方华创,2017,125610225.49,458004372.0
+","corporate,year,每股收益增长率
+北方华创,2017,35.20786813819636
+紫光股份,2017,92.08442841416581
+荣盛石化,2017,-29.999343610478626
+"
+CN,fundamental,对于金山办公、纳思达、新易盛、格力电器在2021年每股收益增长率的值，计算最低的公司与第二名之间的差距。（单位：%；净利润用归母净利润）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,9.6423,hard,growth,(本期每股收益 - 上期每股收益) / |上期每股收益| * 100%,"corporate,year,归属于母公司所有者的净利润,股本
+金山办公,2020,878141265.18,461000000.0
+金山办公,2021,1041253876.4,461000000.0
+纳思达,2020,145181220.31,1074539741.0
+纳思达,2021,1163229842.99,1410937360.0
+新易盛,2020,491758403.47,362204466.0
+新易盛,2021,661926139.05,507086219.0
+格力电器,2020,22175108137.32,6015730878.0
+格力电器,2021,23063732372.62,5914469040.0
+","corporate,year,每股收益增长率
+新易盛,2021,-3.854329109287285
+格力电器,2021,5.788017907800772
+纳思达,2021,510.19668230944967
+金山办公,2021,18.574757580326825
+"
+CN,fundamental,在赣锋锂业、纳思达、中国建筑中，2019年公司自由现金流最低的那家公司，比第二名低出多少？（单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,46536756605.1068,hard,cash flow,经营活动现金流净额 - 资本支出 + 利息支出 * (1 - 所得税费用 / 利润总额),"corporate,year,经营活动产生的现金流量净额,购建固定资产、无形资产和其他长期资产支付的现金,财务费用——利息费用,所得税费用,利润总额
+赣锋锂业,2019,669286082.56,814167438.17,204995084.72,121075971.03,474468054.17
+纳思达,2019,2651868173.76,745851310.67,875193714.6,291952156.88,1157901911.15
+中国建筑,2019,-34220077000.0,20436792000.0,10476405000.0,18262603000.0,81467846000.0
+","corporate,year,公司自由现金流
+中国建筑,2019,-46528954045.780945
+纳思达,2019,2560540164.9332595
+赣锋锂业,2019,7802559.325831085
+"
+CN,fundamental,新产业、中国中铁、阳光电源里，2020年公司自由现金流最低的企业与第二名相差多少？（单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,7739519641.1482,hard,cash flow,经营活动现金流净额 - 资本支出 + 利息支出 * (1 - 所得税费用 / 利润总额),"corporate,year,经营活动产生的现金流量净额,购建固定资产、无形资产和其他长期资产支付的现金,财务费用——利息费用,所得税费用,利润总额
+新产业,2020,976654657.41,254817309.04,0.0,157614562.7,1096761945.17
+中国中铁,2020,30994071000.0,43290967000.0,6467522000.0,6133626000.0,33383055000.0
+阳光电源,2020,3088658224.59,960928959.57,97625042.31,206026555.86,2181541884.75
+","corporate,year,公司自由现金流
+中国中铁,2020,-7017682292.778237
+新产业,2020,721837348.37
+阳光电源,2020,2216134520.4565883
+"
+CN,fundamental,2023年，在卓胜微、青岛啤酒、铜陵有色、天赐材料中，公司自由现金流最低的公司与第二名之间的差距是多少？（单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,448743181.7741,hard,cash flow,经营活动现金流净额 - 资本支出 + 利息支出 * (1 - 所得税费用 / 利润总额),"corporate,year,经营活动产生的现金流量净额,购建固定资产、无形资产和其他长期资产支付的现金,财务费用——利息费用,所得税费用,利润总额
+卓胜微,2023,1894128040.83,2121789270.91,2337429.34,51513570.17,1170968907.15
+青岛啤酒,2023,2777567140.0,1617742854.0,16430590.0,1398208378.0,5746407302.0
+铜陵有色,2023,5924657630.78,2750839885.32,1028320327.39,1597087810.52,5391665154.49
+天赐材料,2023,2274216054.11,3102491757.55,194435865.87,482114908.5,2324336491.57
+","corporate,year,公司自由现金流
+卓胜微,2023,-225426629.54236057
+天赐材料,2023,-674169811.3164929
+铜陵有色,2023,3897534983.9848022
+青岛啤酒,2023,1172257006.1334684
+"
+CN,fundamental,对于2023年的公司自由现金流，中海油服、上港集团、润泽科技中最高的那家公司领先第二名多少？（单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2043670938.767,hard,cash flow,经营活动现金流净额 - 资本支出 + 利息支出 * (1 - 所得税费用 / 利润总额),"corporate,year,经营活动产生的现金流量净额,购建固定资产、无形资产和其他长期资产支付的现金,财务费用——利息费用,所得税费用,利润总额
+中海油服,2023,13095904097.0,9473763621.0,969394082.0,960240347.0,4242868554.0
+上港集团,2023,13414585346.32,8002374775.94,1164023406.26,2239068372.53,16246855824.88
+润泽科技,2023,1243931063.23,4793784253.96,159984200.63,19591634.44,1777305679.32
+","corporate,year,公司自由现金流
+上港集团,2023,6415813522.249672
+中海油服,2023,4372142583.482698
+润泽科技,2023,-3391632531.403777
+"
+CN,fundamental,对于中煤能源、上汽集团、亿联网络在2016年公司自由现金流的值，计算最低的公司与第二名之间的差距。（单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,6234976330.61,hard,cash flow,经营活动现金流净额 - 资本支出 + 利息支出 * (1 - 所得税费用 / 利润总额),"corporate,year,经营活动产生的现金流量净额,购建固定资产、无形资产和其他长期资产支付的现金,财务费用——利息费用,所���税费用,利润总额
+中煤能源,2016,12068576000.0,9016116000.0,0.0,439734000.0,3372503000.0
+上汽集团,2016,11360916342.78,17267840851.85,0.0,6530495764.2,50489547289.99
+亿联网络,2016,350237709.05,22185887.51,0.0,29677938.23,462001229.8
+","corporate,year,公司自由现金流
+上汽集团,2016,-5906924509.069998
+中煤能源,2016,3052460000.0
+亿联网络,2016,328051821.54
+"
+CN,fundamental,在公牛集团、青岛港、川投能源中，2025年股权自由现金流最低的那家公司，比第二名低出多少？（单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2541690540.26,hard,cash flow,经营活动现金流净额 - 资本支出 + 净借款（取得借款收到的现金 + 发行债券收到的现金 - 偿还债务支付的现金）,"corporate,year,经营活动产生的现金流量净额,购建固定资产、无形资产和其他长期资产支付的现金,取得借款收到的现金,发行债券收到的现金,偿还债务支付的现金
+公牛集团,2025,4743692351.84,500139110.24,1712624081.26,0.0,1227701482.79
+青岛港,2025,5548596729.0,2464233800.0,2815053936.0,0.0,1669991239.0
+川投能源,2025,762890300.36,1187274039.54,10567299161.88,0.0,8455180336.96
+","corporate,year,股权自由现金流
+公牛集团,2025,4728475840.070001
+川投能源,2025,1687735085.7399993
+青岛港,2025,4229425626.0
+"
+CN,fundamental,赛轮轮胎、中国核电、长安汽车里，2017年股权自由现金流最高的企业与第二名相差多少？（单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,9667364213.0,hard,cash flow,经营活动现金流净额 - 资本支出 + 净借款（取得借款收到的现金 + 发行债券收到的现金 - 偿还债务支付的现金）,"corporate,year,经营活动产生的现金流量净额,购建固定资产、无形资产和其他长期资产支付的现金,取得借款收到的现金,发行债券收到的现金,偿还债务支付的现金
+赛轮轮胎,2017,1150056832.92,854975572.51,8811139081.81,0.0,8221044855.48
+中国核电,2017,19820662305.12,23399977013.34,46904116005.46,0.0,32772261597.5
+长安汽车,2017,-1123470776.83,3308579224.93,185000000.0,0.0,2168573600.0
+","corporate,year,股权自由现金流
+中国核电,2017,10552539699.739998
+赛轮轮胎,2017,885175486.74
+长安汽车,2017,-6415623601.76
+"
+CN,fundamental,2019年，在中信特钢、爱尔眼科、中远海控中，股权自由现金流最高的公司与第二名之间的差距是多少？（单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,4748891559.44,hard,cash flow,经营活动现金流净额 - 资本支出 + 净借款（取得借款收到的现金 + 发行债券收到的现金 - 偿还债务支付的现金）,"corporate,year,经营活动产生的现金流量净额,购建固定资产、无形资产和其他长期资产支付的现金,取得借款收到的现金,发行债券收到的现金,偿还债务支付的现金
+中信特钢,2019,7926316139.91,2446886091.37,13110036510.0,0.0,16080329510.0
+爱尔眼科,2019,2078432734.81,745625809.85,2846249084.65,0.0,2048250239.3
+中远海控,2019,21202371528.39,11082748906.99,58071907199.92,0.0,60933501213.34
+","corporate,year,股权自由现金流
+中信特钢,2019,2509137048.54
+中远海控,2019,7258028607.980001
+爱尔眼科,2019,2130805770.3100002
+"
+CN,fundamental,对于2023年的股权自由现金流，南方航空、渝农商行、四川路桥、中远海能、洛阳钼业中最低的那家公司领先第二名多少？（单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,16364633787.75,hard,cash flow,经营活动现金流净额 - 资本支出 + 净借款（取得借款收到的现金 + 发行债券收到的现金 - 偿还债务支付的现金）,"corporate,year,经营活动产生的现金流量净额,购建固定资产、无形资产和其他长期资产支付的现金,取得借款收到的现金,发行债券收到的现金,偿还债务支付的现金
+南方航空,2023,40134000000.0,11369000000.0,70978000000.0,12700000000.0,110308000000.0
+渝农商行,2023,39459381000.0,1036331000.0,0.0,234975743000.0,289310000000.0
+四川路桥,2023,-2118013150.83,7745804432.16,24615339330.49,0.0,13213927182.28
+中远海能,2023,8970780532.82,5723248263.71,11195948600.71,0.0,11833068992.78
+洛阳钼业,2023,15542003495.74,12924398131.61,71744175889.11,0.0,73908354465.49
+","corporate,year,股权自由现金流
+中远海能,2023,2610411877.039998
+南方航空,2023,2135000000.0
+四川路桥,2023,1537594565.2200012
+洛阳钼业,2023,453426787.7499943
+渝农商行,2023,-15911207000.0
+"
+CN,fundamental,对于中国人寿、中国石化、潞安环能、山西焦���在2016年股权自由现金流的值，计算最高的公司与第二名之间的差距。（单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,11083000000.0,hard,cash flow,经营活动现金流净额 - 资本支出 + 净借款（取得借款收到的现金 + 发行债券收到的现金 - 偿还债务支付的现金）,"corporate,year,经营活动产生的现金流量净额,购建固定资产、无形资产和其他长期资产支付的现金,取得借款收到的现金,发行债券收到的现金,偿还债务支付的现金
+中国人寿,2016,89098000000.0,5310000000.0,13831000000.0,0.0,30000000000.0
+中国石化,2016,214543000000.0,72847000000.0,506097000000.0,0.0,569091000000.0
+潞安环能,2016,1133579475.91,869162330.04,11213350000.0,0.0,9880750000.0
+山西焦煤,2016,2622468054.28,2600994631.83,7987000000.0,0.0,7943521295.34
+","corporate,year,股权自由现金流
+中国人寿,2016,67619000000.0
+中国石化,2016,78702000000.0
+山西焦煤,2016,64952127.11000013
+潞安环能,2016,1597017145.8700001
+"
+CN,fundamental,在中油资本、上汽集团、生益科技中，2025年经营现金流利润率最低的那家公司，比第二名低出多少？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1997.1772,hard,cash flow,经营活动现金流净额 / 营业收入 * 100%,"corporate,year,经营活动产生的现金流量净额,营业收入
+中油资本,2025,-18277767921.32,917619498.96
+上汽集团,2025,34306601905.98,646152101889.3
+生益科技,2025,5273633309.36,28431138459.44
+","corporate,year,经营现金流利润率
+上汽集团,2025,5.30936938929241
+中油资本,2025,-1991.8678648432629
+生益科技,2025,18.548794016403498
+"
+CN,fundamental,中微公司、新希望、康龙化成、云南白药里，2024年经营现金流利润率最低的企业与第二名相差多少？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.8783,hard,cash flow,经营活动现金流净额 / 营业收入 * 100%,"corporate,year,经营活动产生的现金流量净额,营业收入
+中微公司,2024,1458401788.71,9065165097.69
+新希望,2024,9126553532.87,103062962254.34
+康龙化成,2024,2576656397.08,12275774875.03
+云南白药,2024,4297003142.27,40033300814.72
+","corporate,year,经营现金流利润率
+中微公司,2024,16.08797824412081
+云南白药,2024,10.733571938414878
+康龙化成,2024,20.989765805506455
+新希望,2024,8.855318470613511
+"
+CN,fundamental,2019年，在中国石化、华大九天、国投资本中，经营现金流利润率最高的公司与第二名之间的差距是多少？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,15.0223,hard,cash flow,经营活动现金流净额 / 营业收入 * 100%,"corporate,year,经营活动产生的现金流量净额,营业收入
+中国石化,2019,153619000000.0,2959799000000.0
+华大九天,2019,51990642.31,257219984.89
+国投资本,2019,-1485042510.09,668103209.1
+","corporate,year,经营现金流利润率
+中国石化,2019,5.190183522597311
+华大九天,2019,20.212520552100095
+国投资本,2019,-222.27741011609518
+"
+CN,fundamental,对于2025年的经营现金流利润率，华能国际、圣邦股份、同花顺中最低的那家公司领先第二名多少？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,17.3508,hard,cash flow,经营活动现金流净额 / 营业收入 * 100%,"corporate,year,经营活动产生的现金流量净额,营业收入
+华能国际,2025,67212899994.0,229288057955.0
+圣邦股份,2025,466319946.2,3898054583.68
+同花顺,2025,3774236497.7,6028985966.48
+","corporate,year,经营现金流利润率
+华能国际,2025,29.313737746948505
+同花顺,2025,62.60151406362575
+圣邦股份,2025,11.962889081962667
+"
+CN,fundamental,对于思源电气、京东方A、中国神华、上海机场在2019年经营现金流利润率的值，计算最低的公司与第二名之间的差距。（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,9.4429,hard,cash flow,经营活动现金流净额 / 营业收入 * 100%,"corporate,year,经营活动产生的现金流量净额,营业收入
+思源电气,2019,831389944.0,6380095191.01
+京东方A,2019,26083079194.0,116059590164.0
+中国神华,2019,63106000000.0,241871000000.0
+上海机场,2019,4885045782.8,10944668477.76
+","corporate,year,经营现金流利润率
+上海机场,2019,44.63402242586522
+中国神华,2019,26.090767392535692
+京东方A,2019,22.47386808547476
+思源电气,2019,13.030995919488575
+"
+CN,fundamental,在亿联网络、中国交建、联影医疗中，2018年资本支出占收入比最低的那家公司，比第二名低出多少？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,6.7865,hard,cash flow,资本支出 / 营业收入 * 100%,"corporate,year,购建固定资产、无形资产和其他长期资产支付的现金,营业收入
+亿联网络,2018,20357152.91,1815359403.28
+中国交建,2018,38817590164.0,490872128295.0
+联影医疗,2018,560794902.11,2034680383.14
+","corporate,year,资本支出占收入比
+中国交建,2018,7.907882303040793
+亿联网络,2018,1.121384166309911
+联影医疗,2018,27.561817903043767
+"
+CN,fundamental,青岛啤酒、软通动力、福斯特、盛美上海、百利天恒里，2022年资本支出占收入比最低的企业与第二名相差多少？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.9856,hard,cash flow,资本支出 / 营业收入 * 100%,"corporate,year,购建固定资产、无形资产和其他长期资产支付的现金,营业收入
+青岛啤酒,2022,1780139656.0,32171565624.0
+软通动力,2022,395570256.87,19103690330.76
+福斯特,2022,576936615.81,18877495145.99
+盛美上海,2022,685572133.5,2873045516.26
+百利天恒,2022,34556410.65,703281558.8
+","corporate,year,资本支出占收入比
+百利天恒,2022,4.913595446603654
+盛美上海,2022,23.862209269571427
+福斯特,2022,3.056213821527874
+软通动力,2022,2.0706483931697144
+青岛啤酒,2022,5.53327020762712
+"
+CN,fundamental,2021年，在东方盛虹、康龙化成、藏格矿业中，资本支出占收入比最低的公司与第二名之间的差距是多少？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,26.4042,hard,cash flow,资本支出 / 营业收入 * 100%,"corporate,year,购建固定资产、无形资产和其他长期资产支付的现金,营业收入
+东方盛虹,2021,41718720515.67,52690217451.46
+康龙化成,2021,2092821567.79,7443769724.38
+藏格矿业,2021,61976346.43,3622594323.02
+","corporate,year,资本支出占收入比
+东方盛虹,2021,79.17735498833855
+康龙化成,2021,28.115076705497007
+藏格矿业,2021,1.7108276804876403
+"
+CN,fundamental,对于2019年的资本支出占收入比，贵州茅台、温氏股份、中国东航中最低的那家公司领先第二名多少？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.5941,hard,cash flow,资本支出 / 营业收入 * 100%,"corporate,year,购建固定资产、无形资产和其他长期资产支付的现金,营业收入
+贵州茅台,2019,3148864661.38,85429573467.25
+温氏股份,2019,12391978701.98,73120412619.72
+中国东航,2019,7590000000.0,120860000000.0
+","corporate,year,资本支出占收入比
+中国东航,2019,6.27999338077114
+温氏股份,2019,16.94735882636141
+贵州茅台,2019,3.685918744036734
+"
+CN,fundamental,对于潞安环能、渝农商行、恒立液压、中国神华在2022年资本支出占收入比的值，计算最低的公司与第二名之间的差距。（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.7245,hard,cash flow,资本支出 / 营业收入 * 100%,"corporate,year,购建固定资产、无形资产和其他长期资产支付的现金,营业收入
+潞安环能,2022,750719604.45,54297074121.79
+渝农商行,2022,610866000.0,28990726000.0
+恒立液压,2022,798783077.0,8196713892.3
+中国神华,2022,28684000000.0,344533000000.0
+","corporate,year,资本支出占收入比
+中国神华,2022,8.325472451114987
+恒立液压,2022,9.745162360130411
+渝农商行,2022,2.107108321468045
+潞安环能,2022,1.3826152082635483
+"
+CN,fundamental,在五粮液、德业股份、同花顺、中远海控、宝钢股份中，2019年现金流量充裕率最低的那家公司，比第二名低出多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0983,hard,cash flow,经营活动现金流净额 / (资本支出 + 偿还债务支付的现金 + 分配股利、利润或偿付利息支付的现金),"corporate,year,经营活动产生的现金流量净额,购建固定资产、无形资产和其他长期资产支付的现金,偿还债务支付的现金,分配股利、利润或偿付利息支付的现金
+五粮液,2019,23112072040.66,1698655125.66,0.0,7251646962.56
+德业股份,2019,380755871.51,57082545.51,77000000.0,39188071.97
+同花顺,2019,1219079300.44,129341215.34,0.0,258048000.0
+中远海控,2019,21202371528.39,11082748906.99,60933501213.34,5395634518.91
+宝钢股份,2019,33073719220.85,17625270817.47,156226156695.76,14526222022.94
+","corporate,year,现金流量充裕率
+中远海控,2019,0.2738903932800331
+五粮液,2019,2.5822672590100737
+同花顺,2019,3.1469107867911355
+宝钢股份,2019,0.1755713552127084
+德业股份,2019,2.197463580655556
+"
+CN,fundamental,云铝股份、青岛港、赛轮轮胎、长电科技、川投能源里，2025年现金流量充裕率最高的企业与第二名相差多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.7538,hard,cash flow,经营活动现金流净额 / (资本支出 + 偿还债务支付的现金 + 分配股利、利润或偿付利息支付的现金),"corporate,year,经营活动产生的现金流量净额,购建固定资产、无形资产和其他长期资产支付的现金,偿还债务支付的现金,分配股利、利润或偿付利息支付的现金
+云铝股份,2025,8432323187.1,640504638.26,550000000.0,2098445920.67
+青岛港,2025,5548596729.0,2464233800.0,1669991239.0,2715359382.0
+赛轮轮胎,2025,4178797505.36,4817731140.36,12960712338.72,1886823509.46
+长电科技,2025,4652212168.2,6298299227.33,10789794575.61,595540350.88
+川投能源,2025,762890300.36,1187274039.54,8455180336.96,2470383665.59
+","corporate,year,现金流量充裕率
+云铝股份,2025,2.5638339756141857
+川投能源,2025,0.06298196159389644
+赛轮轮胎,2025,0.212496352467282
+长电科技,2025,0.2630800958520754
+青岛港,2025,0.8100632663185625
+"
+CN,fundamental,2018年，在广汽集团、中国化学、恒瑞医药、福莱特中，现金流量充裕率最高的公司与第二名之间的差距是多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.1347,hard,cash flow,经营活动现金流净额 / (资本支出 + 偿还债务支付的现金 + 分配股利、利润或偿付利息支付的现金),"corporate,year,经营活动产生的现金流量净额,购建固定资产、无形资产和其他长期资产支付的现金,偿还债务支付的现金,分配股利、利润或偿付利息支付的现金
+广汽集团,2018,-1268116293.0,9852008155.0,3227829872.0,4678632989.0
+中国化学,2018,4909220796.85,985705169.2,6558650189.84,928000112.56
+恒瑞医药,2018,2774212734.45,529109774.92,0.0,493021825.54
+福莱特,2018,430909251.75,1257129436.89,584818797.8,79161657.99
+","corporate,year,现金流量充裕率
+中国化学,2018,0.5794398987750329
+广汽集团,2018,-0.0714090921373498
+恒瑞医药,2018,2.7141443755397967
+福莱特,2018,0.22430223975832533
+"
+CN,fundamental,对于2023年的现金流量充裕率，沪硅产业、TCL中环、华域汽车、荣盛石化中最低的那家公司领先第二名多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.2311,hard,cash flow,经营活动现金流净额 / (资本支出 + 偿还债务支付的现金 + 分配股利、利润或偿付利息支付的现金),"corporate,year,经营活动产生的现金流量净额,购建固定资产、无形资产和其他长期资产支付的现金,偿还债务支付的现金,分配股利、利润或偿付利息支付的现金
+沪硅产业,2023,-274727358.18,4126452772.93,755998221.83,105350419.77
+TCL中环,2023,5181162667.85,12162980041.19,8490594932.62,1723830191.46
+华域汽车,2023,11315738102.46,4897985743.68,5518580991.01,4317559882.16
+荣盛石化,2023,28079221508.73,32643267964.49,117188136080.88,9700463891.53
+","corporate,year,现金流量充裕率
+TCL中环,2023,0.23153545415941373
+华域汽车,2023,0.7679951718019906
+沪硅产业,2023,-0.05507985088975069
+荣盛石化,2023,0.17601010927695174
+"
+CN,fundamental,对于软通动力、海螺水泥、陕西煤业、卓胜微在2024年现金流量充裕率的值，计算最高的公司与第二名之间的差距。按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.1631,hard,cash flow,经营活动现金流净额 / (资本支出 + 偿还债务支付的现金 + 分配股利、利润或偿付利息支付的现金),"corporate,year,经营活动产生的现金流量净额,购建固定资产、无形资产和其他长期资产支付的现金,偿还债务支付的现金,分配股利、利润或偿付利息支付的现金
+软通动力,2024,741398323.16,691615293.96,3896449930.05,354399375.19
+海螺水泥,2024,18476252523.0,11314257404.0,15906201222.0,6354833155.0
+陕西煤业,2024,42350239402.91,13893188369.12,16052925551.29,29420032825.02
+卓胜微,2024,80280996.61,1868129167.21,368956890.36,152041380.41
+","corporate,year,现金流量充裕率
+卓胜微,2024,0.033602643096291816
+海螺水泥,2024,0.5502931335195594
+软通动力,2024,0.15000579332019992
+陕西煤业,2024,0.7133735592527759
+"
+CN,fundamental,在顺丰控股、龙佰集团、中联重科中，2021年每股净资产最高的那家公司，比第二名高出多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,11.2279,hard,per share,股东权益合计 / 股本,"corporate,year,股东权益合计,股本
+顺丰控股,2021,97915247000.0,4906213000.0
+龙佰集团,2021,20788973993.05,2381470256.0
+中联重科,2021,58297166150.61,8677992236.0
+","corporate,year,每股净资产
+中联重科,2021,6.717817274457631
+顺丰控股,2021,19.95739830292733
+龙佰集团,2021,8.729470351633902
+"
+CN,fundamental,大全能源、华域汽车、昆仑万维里，2025年每股净资产最低的企业与第二名相差多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,5.7282,hard,per share,股东权益合计 / 股本,"corporate,year,股东权益合计,股本
+大全能源,2025,39022601729.53,2145205724.0
+华域汽车,2025,71137783000.59,3152723984.0
+昆仑万维,2025,15644774574.03,1255356953.0
+","corporate,year,每股净资产
+华域汽车,2025,22.563910878850344
+大全能源,2025,18.190610482228042
+昆仑万维,2025,12.462411218293543
+"
+CN,fundamental,2016年，在恒生电子、深南电路、长安汽车中，每股净资产最低的公司与第二名之间的差距是多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.4387,hard,per share,股东权益合计 / 股本,"corporate,year,股东权益合计,股本
+恒生电子,2016,2517507245.84,617805180.0
+深南电路,2016,1577870716.17,210000000.0
+长安汽车,2016,43353159550.06,4802648511.0
+","corporate,year,每股净资产
+恒生电子,2016,4.074920909274344
+深南电路,2016,7.5136700770000004
+长安汽车,2016,9.026927423642142
+"
+CN,fundamental,对于2018年的每股净资产，恒生电子、中国电信、宁德时代、中航西飞、兖矿能源中最高的那家公司领先第二名多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.2586,hard,per share,股东权益合计 / 股本,"corporate,year,股东权益合计,股本
+恒生电子,2018,3414402602.56,617805180.0
+中国电信,2018,344106000000.0,80932000000.0
+宁德时代,2018,35200170590.62,2195017400.0
+中航西飞,2018,19313070717.19,2768645071.0
+兖矿能源,2018,84953491000.0,4912016000.0
+","corporate,year,每股净资产
+中国电信,2018,4.251791627539169
+中航西飞,2018,6.975639788387307
+兖矿能源,2018,17.295035480340456
+宁德时代,2018,16.0363970648342
+恒生电子,2018,5.526665546183993
+"
+CN,fundamental,对于软通动力、华能水电、卫星化学在2017年每股净资产的值，计算最高的公司与第二名之间的差距。按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.8576,hard,per share,股东权益合计 / 股本,"corporate,year,股东权益合计,股本
+软通动力,2017,2276822358.08,263634990.2
+华能水电,2017,41001921628.8,18000000000.0
+卫星化学,2017,7210533392.65,1063710806.0
+","corporate,year,每股净资产
+华能水电,2017,2.2778845349333334
+卫星化学,2017,6.778659530370513
+软通动力,2017,8.636267728926068
+"
+CN,fundamental,在四川路桥、宁德时代、福斯特中，2019年每股资本公积金最高的那家公司，比第二名高出多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,7.1329,hard,per share,资本公积 / 股本,"corporate,year,资本公积,股本
+四川路桥,2019,3131572209.89,3610525510.0
+宁德时代,2019,21630448577.59,2208399700.0
+福斯特,2019,1391010316.85,522600000.0
+","corporate,year,每股资本公积金
+四川路桥,2019,0.8673452662823036
+宁德时代,2019,9.794625754382235
+福斯特,2019,2.6617112836777648
+"
+CN,fundamental,阳光电源、国电电力、沪农商行里，2025年每股资本公积金最低的企业与第二名相差多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.6607,hard,per share,资本公积 / 股本,"corporate,year,资本公积,股本
+阳光电源,2025,7264502339.57,2073211424.0
+国电电力,2025,968554432.29,17835619082.0
+沪农商行,2025,16540133000.0,9644444000.0
+","corporate,year,每股资本公积金
+国电电力,2025,0.05430450313146018
+沪农商行,2025,1.7149908278797616
+阳光电源,2025,3.503985293286711
+"
+CN,fundamental,2017年，在天坛生物、三峡能源、徐工机械、新和成、川投能源中，每股资本公积金最低的公司与第二名之间的差距是多少？按中国会计准则，���出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.104,hard,per share,资本公积 / 股本,"corporate,year,资本公积,股本
+天坛生物,2017,947150338.94,670106928.0
+三峡能源,2017,7585121221.77,13051431033.2
+徐工机械,2017,3344104932.02,7007727655.0
+新和成,2017,5412563310.38,1263919000.0
+川投能源,2017,4051930346.4,4402140480.0
+","corporate,year,每股资本公积金
+三峡能源,2017,0.5811716127124377
+天坛生物,2017,1.4134316470460369
+川投能源,2017,0.9204454889181547
+徐工机械,2017,0.4772024679974525
+新和成,2017,4.282365650314617
+"
+CN,fundamental,对于2025年的每股资本公积金，中国移动、中航西飞、山西汾酒、卓胜微、中海油服中最低的那家公司领先第二名多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.2253,hard,per share,资本公积 / 股本,"corporate,year,资本公积,股本
+中国移动,2025,-303621000000.0,468445000000.0
+中航西飞,2025,11954250603.48,2781149071.0
+山西汾酒,2025,704072987.94,1219964222.0
+卓胜微,2025,3647178307.57,534943198.0
+中海油服,2025,12361820023.0,4771592000.0
+","corporate,year,每股资本公积金
+中国移动,2025,-0.6481465273404562
+中海油服,2025,2.590711867862969
+中航西飞,2025,4.29831350218911
+卓胜微,2025,6.817879582740297
+山西汾酒,2025,0.5771259314357172
+"
+CN,fundamental,对于中国交建、中国中铁、紫金矿业在2023年每股资本公积金的值，计算最高的公司与第二名之间的差距。按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,7.2023,hard,per share,资本公积 / 股本,"corporate,year,资本公积,股本
+中国交建,2023,42655541987.0,16263661425.0
+中国中铁,2023,56618356000.0,24752196000.0
+紫金矿业,2023,25866060607.0,2632657124.0
+","corporate,year,每股资本公积金
+中国中铁,2023,2.287407388015189
+中国交建,2023,2.622751474734417
+紫金矿业,2023,9.82507762640191
+"
+CN,fundamental,在中航成飞、亿纬锂能、云铝股份中，2017年每股未分配利润最低的那家公司，比第二名低出多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.6645,hard,per share,未分配利润 / 股本,"corporate,year,未分配利润,股本
+中航成飞,2017,508063761.16,590760499.0
+亿纬锂能,2017,1066660026.86,856366226.0
+云铝股份,2017,509720634.15,2606838797.0
+","corporate,year,每股未分配利润
+中航成飞,2017,0.8600164737148412
+云铝股份,2017,0.19553208841935152
+亿纬锂能,2017,1.2455652669095336
+"
+CN,fundamental,浪潮信息、新产业、德业股份、晶科能源、泰格医药里，2020年每股未分配利润最高的企业与第二名相差多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.8065,hard,per share,未分配利润 / 股本,"corporate,year,未分配利润,股本
+浪潮信息,2020,4058458395.22,1453721310.0
+新产业,2020,2643644229.81,412350000.0
+德业股份,2020,589402416.69,128000000.0
+晶科能源,2020,4012789515.57,8000000000.0
+泰格医药,2020,3253421282.24,872483508.0
+","corporate,year,每股未分配利润
+德业股份,2020,4.604706380390626
+新产业,2020,6.411165829538014
+晶科能源,2020,0.50159868944625
+泰格医药,2020,3.728920091220796
+浪潮信息,2020,2.7917719629631073
+"
+CN,fundamental,2022年，在恒瑞医药、联影医疗、澜起科技、浪潮信息、洋河股份中，每股未分配利润最高的公司与第二名之间的差距是多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,24.4455,hard,per share,未分配利润 / 股本,"corporate,year,未分配利润,股本
+恒瑞医药,2022,25520207662.61,6379002274.0
+联影医疗,2022,2415043504.37,824157988.0
+澜起科技,2022,3386153834.82,1134068231.0
+浪潮信息,2022,7309025034.04,1463709516.0
+洋河股份,2022,44364203149.57,1506988000.0
+","corporate,year,每股未分配利润
+恒瑞医药,2022,4.000658185470025
+洋河股份,2022,29.438988996309195
+浪潮信息,2022,4.99349423785532
+澜起科技,2022,2.9858466556585874
+联影医疗,2022,2.930316200939376
+"
+CN,fundamental,对于2019年的每股未分配利润，汇川技术、新和成、巨化股份、万科A、中国铝业中最低的那家公司领先第二名多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.9608,hard,per share,未分配利润 / 股本,"corporate,year,未分配利润,股本
+汇川技术,2019,3735885601.39,1731644256.0
+新和成,2019,9158233971.76,2148662300.0
+巨化股份,2019,5041794807.84,2745166103.0
+万科A,2019,95352036928.77,11302143001.0
+中国铝业,2019,-2114614000.0,17022673000.0
+","corporate,year,每股未分配利润
+万科A,2019,8.436633381858057
+中国铝业,2019,-0.12422338136907171
+巨化股份,2019,1.8366082847701548
+新和成,2019,4.262295648674061
+汇川技术,2019,2.1574209532041433
+"
+CN,fundamental,对于三峡能源、工业富联、春秋航空、中科曙光、国电电力在2022年每股未分配利润的值，计算最低的公司与第二名之间的差距。按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.2614,hard,per share,未分配利润 / 股本,"corporate,year,未分配利润,股本
+三峡能源,2022,24121017992.49,28619530000.0
+工业富联,2022,77934054000.0,19859593000.0
+春秋航空,2022,4408533660.0,978548805.0
+中科曙光,2022,4378838552.87,1464013974.0
+国电电力,2022,19693720527.28,17835619082.0
+","corporate,year,每股未分配利润
+三峡能源,2022,0.8428167056723155
+中科曙光,2022,2.99098139132243
+国电电力,2022,1.1041792514595261
+工业富联,2022,3.924252324808469
+春秋航空,2022,4.505175048473949
+"
+CN,fundamental,在三六零、拓普集团、宝丰能源中，2020年每股经营现金流最高的那家公司，比第二名高出多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.3582,hard,per share,经营活动现金流净额 / 股本,"corporate,year,经营活动产生的现金流量净额,股本
+三六零,2020,1942970000.0,7145363000.0
+拓普集团,2020,1123685580.01,1054987749.0
+宝丰能源,2020,5183714666.16,7333360000.0
+","corporate,year,每股经营现金流
+三六零,2020,0.27192040488355873
+宝丰能源,2020,0.7068676113214134
+拓普集团,2020,1.0651171836593527
+"
+CN,fundamental,正泰电器、沪电股份、中国卫通、万科A、万泰生物里，2019年每股经营现金流最高的企业与第二名相差多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.7184,hard,per share,经营活动现金流净额 / 股本,"corporate,year,经营活动产生的现金流量净额,股本
+正泰电器,2019,4999220054.77,2151239916.0
+沪电股份,2019,1064181249.0,1724717363.0
+中国卫通,2019,1963313127.71,4000000000.0
+万科A,2019,45686809515.08,11302143001.0
+万泰生物,2019,272680549.14,390000000.0
+","corporate,year,每股经营现金流
+万泰生物,2019,0.6991808952307692
+万科A,2019,4.0423138789730135
+中国卫通,2019,0.4908282819275
+正泰电器,2019,2.3238784375410413
+沪电股份,2019,0.6170177629272234
+"
+CN,fundamental,2025年，在恒力石化、恒立液压、拓普集团、中航成飞中，每股经营现金流最高的公司与第二名之间的差距是多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.8422,hard,per share,经营活动现金流净额 / 股本,"corporate,year,经营活动产生的现金流量净额,股本
+恒力石化,2025,31121788543.43,7039099786.0
+恒立液压,2025,1810946160.52,1340820992.0
+拓普集团,2025,4482090128.26,1737835580.0
+中航成飞,2025,-2542177536.87,2672091376.0
+","corporate,year,每股经营现金流
+中航成飞,2025,-0.9513812138698359
+恒力石化,2025,4.421273953997333
+恒立液压,2025,1.3506248569533135
+拓普集团,2025,2.57912208717697
+"
+CN,fundamental,对于2023年的每股经营现金流，龙芯中科、京东方A、蓝思科技、中国石油、万华化学中最低的那家公司领先第二名多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.0405,hard,per share,经营活动现金流净额 / 股本,"corporate,year,经营活动产生的现金流量净额,股本
+龙芯中科,2023,-410327447.87,401000000.0
+京东方A,2023,38301826884.0,37652529195.0
+蓝思科技,2023,9300199131.87,4983227981.0
+中国石油,2023,456847000000.0,183021000000.0
+万华化学,2023,26796752552.51,3139746626.0
+","corporate,year,每股经营现金流
+万华化学,2023,8.534686312140016
+中国石油,2023,2.496145251091405
+京东方A,2023,1.0172444641271594
+蓝思科技,2023,1.86630015069142
+龙芯中科,2023,-1.0232604685037407
+"
+CN,fundamental,对于中国中铁、沪电股份、中国电信、TCL科技在2021年每股经营现金流的值，计算最低的公司与第二名之间的差距。按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.2117,hard,per share,经营活动现金流净额 / 股本,"corporate,year,经营活动产生的现金流量净额,股本
+中国中铁,2021,13069466000.0,24570929000.0
+沪电股��,2021,1410432087.0,1896658773.0
+中国电信,2021,139194383644.66,91507138699.0
+TCL科技,2021,32878453000.0,14030642000.0
+","corporate,year,每股经营现金流
+TCL科技,2021,2.3433320442500065
+中国中铁,2021,0.531907686518487
+中国电信,2021,1.5211314179817224
+沪电股份,2021,0.7436403991473273
+"
+CN,fundamental,在晶盛机电、浪潮信息、金龙鱼中，2018年权益乘数最高的那家公司，比第二名高出多少？（用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0677,hard,solvency,平均总资产 / 平均股东权益,"corporate,year,资产合计,股东权益合计
+晶盛机电,2017,6016196064.44,3699782969.16
+晶盛机电,2018,6335042662.59,4230778163.01
+浪潮信息,2017,17881501067.42,7281648083.84
+浪潮信息,2018,25599272165.06,9309733448.18
+金龙鱼,2017,136454937000.0,57072561000.0
+金龙鱼,2018,169420625000.0,62738076000.0
+","corporate,year,权益乘数
+晶盛机电,2018,1.5574230525665704
+浪潮信息,2018,2.620684308209397
+金龙鱼,2018,2.5529917013962624
+"
+CN,fundamental,海光信息、宁德时代、美的集团、古井贡酒、阿特斯里，2021年权益乘数最低的企业与第二名相差多少？（用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.1797,hard,solvency,平均总资产 / 平均股东权益,"corporate,year,资产合计,股东权益合计
+海光信息,2020,9022075152.28,5576984248.79
+海光信息,2021,10457352167.99,6261486004.51
+宁德时代,2020,156618426900.0,69194716400.0
+宁德时代,2021,307666860900.0,92622174500.0
+美的集团,2020,360382603000.0,124237100000.0
+美的集团,2021,387946104000.0,134825076000.0
+古井贡酒,2020,15186625708.79,10448850786.38
+古井贡酒,2021,25418086447.8,17252860881.53
+阿特斯,2020,29221672589.42,9549543691.06
+阿特斯,2021,34120308720.63,9468299489.04
+","corporate,year,权益乘数
+古井贡酒,2021,1.4657835098192504
+宁德时代,2021,2.8692016341292836
+海光信息,2021,1.6454344947853434
+美的集团,2021,2.888606583000368
+阿特斯,2021,3.3306606175157736
+"
+CN,fundamental,2018年，在白云山、中国银河、包钢股份、新易盛、广汽集团中，权益乘数最低的公司与第二名之间的差距是多少？（用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.4458,hard,solvency,平均总资产 / 平均股东权益,"corporate,year,资产合计,股东权益合计
+白云山,2017,28314713453.32,19263153793.17
+白云山,2018,51482183869.48,23143732754.0
+中国银河,2017,254814966451.09,64886433667.41
+中国银河,2018,251363290117.14,66337860924.43
+包钢股份,2017,146642464834.31,49537119948.97
+包钢股份,2018,148800686393.67,52669880493.78
+新易盛,2017,1402358491.57,1087711991.21
+新易盛,2018,1379534727.78,1135777463.54
+广汽集团,2017,119602416855.0,70413968278.0
+广汽集团,2018,132119734666.0,77920681847.0
+","corporate,year,权益乘数
+中国银河,2018,3.8573517056627864
+包钢股份,2018,2.890635181036047
+广汽集团,2018,1.696988204097131
+新易盛,2018,1.2511384811864488
+白云山,2018,1.8816966728750617
+"
+CN,fundamental,对于2021年的权益乘数，中航沈飞、宁德时代、赣锋锂业中最高的那家公司领先第二名多少？（用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.3147,hard,solvency,平均总资产 / 平均股东权益,"corporate,year,资产合计,股东权益合计
+中航沈飞,2020,32853080760.29,10835360686.84
+中航沈飞,2021,64041410809.23,12323249716.46
+宁德时代,2020,156618426900.0,69194716400.0
+宁德时代,2021,307666860900.0,92622174500.0
+赣锋锂业,2020,22020373319.53,13418403362.44
+赣锋锂业,2021,39056652559.96,26166698438.69
+","corporate,year,权益乘数
+中航沈飞,2021,4.183951017877694
+宁德时代,2021,2.8692016341292836
+赣锋锂业,2021,1.542929614942824
+"
+CN,fundamental,对于正泰电器、赛轮轮胎、宁沪高速在2018年权益乘数的值，计算最低的公司与第二名之间的差距。（用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.5009,hard,solvency,平均总资产 / 平均股东权益,"corporate,year,资产合计,股东权益合计
+正泰电器,2017,44155384122.94,20570414417.55
+正泰电器,2018,47582564179.59,22248028605.65
+赛轮轮胎,2017,15054966498.98,5972843631.47
+赛轮轮胎,2018,15288201642.93,6317543969.71
+宁沪高速,2017,42532491238.0,25894930612.0
+宁沪高速,2018,48162728832.15,29353856941.22
+","corporate,year,权益乘数
+宁沪高速,2018,1.641578468718163
+正泰电器,2018,2.142486784323856
+赛轮轮胎,2018,2.4688536380249513
+"
+CN,fundamental,在新易盛、海天味业、顺丰控股中，2017年EBIT最高的那家公司，比第二名高出多少？（单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2857688508.85,hard,valuation,利润总额 + 利息支出,"corporate,year,利润总额,财务费用——利息费用
+新易盛,2017,127537388.64,1094877.0
+海天味业,2017,4215288941.15,1813895.55
+顺丰控股,2017,6513445120.47,561346225.08
+","corporate,year,EBIT
+新易盛,2017,128632265.64
+海天味业,2017,4217102836.7000003
+顺丰控股,2017,7074791345.55
+"
+CN,fundamental,京东方A、中国中车、时代电气里，2019年EBIT最低的企业与第二名相差多少？（单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,70733754.0,hard,valuation,利润总额 + 利息支出,"corporate,year,利润总额,财务费用——利息费用
+京东方A,2019,503750101.0,2525136209.0
+中国中车,2019,16608325000.0,1020702000.0
+时代电气,2019,2932612787.0,25539769.0
+","corporate,year,EBIT
+中国中车,2019,17629027000.0
+京东方A,2019,3028886310.0
+时代电气,2019,2958152556.0
+"
+CN,fundamental,2024年，在泸州老窖、晶澳科技、中国化学中，EBIT最高的公司与第二名之间的差距是多少？（单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,10799413558.72,hard,valuation,利润总额 + 利息支出,"corporate,year,利润总额,财务费用——利息费用
+泸州老窖,2024,18205298819.04,305448236.36
+晶澳科技,2024,-5195935482.55,1061946647.93
+中国化学,2024,7359315343.06,352018153.62
+","corporate,year,EBIT
+中国化学,2024,7711333496.68
+晶澳科技,2024,-4133988834.6200004
+泸州老窖,2024,18510747055.4
+"
+CN,fundamental,对于2025年的EBIT，京沪高铁、盐湖股份、格力电器、东鹏饮料中最高的那家公司领先第二名多少？（单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,17349925067.72,hard,valuation,利润总额 + 利息支出,"corporate,year,利润总额,财务费用——利息费用
+京沪高铁,2025,17673441706.62,1586157088.93
+盐湖股份,2025,7192441673.84,20083429.94
+格力电器,2025,34644658951.12,1964864912.15
+东鹏饮料,2025,5584357268.07,101132296.96
+","corporate,year,EBIT
+东鹏饮料,2025,5685489565.03
+京沪高铁,2025,19259598795.55
+格力电器,2025,36609523863.270004
+盐湖股份,2025,7212525103.78
+"
+CN,fundamental,对于昆仑万维、华域汽车、上海莱士、洋河股份、广汽集团在2025年EBIT的值，计算最高的公司与第二名之间的差距。（单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,6855221246.26,hard,valuation,利润总额 + 利息支出,"corporate,year,利润总额,财务费用——利息费用
+昆仑万维,2025,-1823651342.18,62004442.37
+华域汽车,2025,9531194927.96,791864402.88
+上海莱士,2025,1905528918.1,44112683.81
+洋河股份,2025,3463934339.64,3903744.94
+广汽集团,2025,-12060183968.0,973542411.0
+","corporate,year,EBIT
+上海莱士,2025,1949641601.9099998
+华域汽车,2025,10323059330.839998
+广汽集团,2025,-11086641557.0
+昆仑万维,2025,-1761646899.8100002
+洋河股份,2025,3467838084.58
+"
+CN,fundamental,在华润三九、天合光能、洛阳钼业、中国联通中，2023年EBITDA最高的那家公司，比第二名高出多少？（单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,84475347831.34,hard,valuation,利润总额 + 利息支出 + 折旧与摊销,"corporate,year,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+华润三九,2023,3754453234.16,80781872.68,626408354.51,170258637.01,57045010.13
+天合光能,2023,6528221386.35,1353731718.42,2851712775.51,381346134.47,38729840.58
+洛阳钼业,2023,13207963293.26,4138052209.88,2312407793.38,500974830.7,65490241.44
+中国联通,2023,22709522469.0,1846122933.0,72606749891.0,5974555193.0,1563285714.0
+","corporate,year,EBITDA
+中国联通,2023,104700236200.0
+华润三九,2023,4688947108.49
+天合光能,2023,11153741855.33
+洛阳钼业,2023,20224888368.66
+"
+CN,fundamental,天齐锂业、寒武纪、中国联通、长江电力里，2017年EBITDA最高的企业与第二名相差多少？（单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,37990480043.19,hard,valuation,利润总额 + 利息支出 + 折旧与摊销,"corporate,year,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+天齐锂业,2017,3451597276.94,127045579.89,169310985.86,65163025.66,0.0
+寒武纪,2017,-380700413.24,0.0,405239.1,80367.79,37103.14
+中国联通,2017,2377866816.0,5257314297.0,66461913614.0,4434805143.0,4552508219.0
+长江电力,2017,26654388890.72,6141175864.31,12287258570.28,11104720.5,0.0
+","corporate,year,EBITDA
+中国联通,2017,83084408089.0
+天齐锂业,2017,3813116868.35
+寒武纪,2017,-380177703.21
+长江电力,2017,45093928045.810005
+"
+CN,fundamental,2025年，在中联重科、中微公司、中芯国际、北新建材中，EBITDA最低的公司与第二名之间的差距是多少？（单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1878041272.97,hard,valuation,利润总额 + 利息支出 + 折旧与摊销,"corporate,year,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+中联重科,2025,5873585455.94,596313998.59,1248228539.37,281409368.29,14294079.65
+中微公司,2025,2189849396.66,18929895.03,160495756.22,187732091.53,1815748.13
+中芯国际,2025,7785646000.0,2663015000.0,27133723000.0,172939000.0,0.0
+北新建材,2025,3275756193.8,42962305.49,918271647.07,171765156.24,28108857.94
+","corporate,year,EBITDA
+中微公司,2025,2558822887.57
+中联重科,2025,8013831441.839999
+中芯国际,2025,37755323000.0
+北新建材,2025,4436864160.54
+"
+CN,fundamental,对于2025年的EBITDA，中国神华、德业股份、海南机场、三六零、歌尔股份中最低的那家公司领先第二名多少？（单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,306482900.18,hard,valuation,利润总额 + 利息支出 + 折旧与摊销,"corporate,year,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+中国神华,2025,79339000000.0,2385000000.0,21615000000.0,2072000000.0,1155000000.0
+德业股份,2025,3635587160.13,57695512.27,196386087.85,6357215.25,45432149.47
+海南机场,2025,203216000.67,584618880.94,641780882.23,39865576.08,4217560.26
+三六零,2025,419937000.0,28428000.0,625577000.0,61095000.0,32179000.0
+歌尔股份,2025,3980457902.23,615731512.79,3211646079.46,762804993.99,119616305.81
+","corporate,year,EBITDA
+三六零,2025,1167216000.0
+中国神华,2025,106566000000.0
+德业股份,2025,3941458124.97
+歌尔股份,2025,8690256794.28
+海南机场,2025,1473698900.18
+"
+CN,fundamental,对于中国联通、药明康德、宁沪高速在2016年EBITDA的值，计算最低的公司与第二名之间的差距。（单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3935340061.17,hard,valuation,利润总额 + 利息支出 + 折旧与摊销,"corporate,year,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+中国联通,2016,581260261.0,0.0,67072611371.0,4343979876.0,1064323536.0
+药明康德,2016,1382175568.21,0.0,309871373.17,35111736.68,54775505.77
+宁沪高速,2016,4417275914.0,0.0,210217553.0,1086435696.0,3345082.0
+","corporate,year,EBITDA
+中国联通,2016,73062175044.0
+宁沪高速,2016,5717274245.0
+药明康德,2016,1781934183.8300002
+"
+CN,fundamental,在招商蛇口、三环集团、中芯国际、德业股份中，2020年NOPAT最低的那家公司，比第二名低出多少？（单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1054924419.4279,hard,valuation,EBIT × (1 - 实际税率) = (利润总额 + 利息支出) × (1 - 所得税费用 / 利润总额),"corporate,year,利润总额,财务费用——利息费用,所得税费用
+招商蛇口,2020,24109433191.38,4405065423.32,7196131140.76
+三环集团,2020,1678604413.73,3375011.99,236977915.39
+中芯国际,2020,4491068000.0,506036000.0,469742000.0
+德业股份,2020,436552615.16,8167218.88,54106955.55
+","corporate,year,NOPAT
+三环集团,2020,1444525041.1278079
+中芯国际,2020,4474433306.265681
+德业股份,2020,389600621.69995576
+招商蛇口,2020,20003553134.74716
+"
+CN,fundamental,中国电建、四川路桥、兆易创新、小商品城里，2019年NOPAT最低的企业与第二名相差多少？（单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,988032383.5402,hard,valuation,EBIT × (1 - 实际税率) = (利润总额 + 利息支出) × (1 - 所得税费用 / 利润总额),"corporate,year,利润总额,财务费用——利息费用,所得税费用
+中国电建,2019,13686580335.14,10704767426.32,3084877084.13
+四川路桥,2019,2131706807.44,1930522629.84,434131103.46
+兆易创新,2019,643724028.11,7708821.85,38449644.86
+小商品城,2019,1632741548.93,459857576.35,383915221.97
+","corporate,year,NOPAT
+中国电建,2019,18893677202.570618
+兆易创新,2019,612522757.0671812
+四川路桥,2019,3234939238.6659026
+小商品城,2019,1600555140.607358
+"
+CN,fundamental,2021年，在双汇发展、中国铁建、北新建材中，NOPAT最低的公司与第二名之间的差距是多少？（单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1341622602.8917,hard,valuation,EBIT × (1 - 实际税率) = (利润总额 + 利息支出) × (1 - 所得税费用 / 利润总额),"corporate,year,利润总额,财务费用——利息费用,所得税费用
+双汇发展,2021,6216019257.96,130835191.63,1332386318.06
+中国铁建,2021,35151419000.0,6016226000.0,5836217000.0
+北新建材,2021,3796697624.77,96547250.14,242282437.56
+","corporate,year,NOPAT
+中国铁建,2021,34332549392.651546
+北新建材,2021,3644801371.7568316
+双汇发展,2021,4986423974.648514
+"
+CN,fundamental,对于2021年的NOPAT，紫光国微、泰格医药、鹏鼎控股中最低的那家公司领先第二名多少？（单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1307895007.609,hard,valuation,EBIT × (1 - 实际税率) = (利润总额 + 利息支出) × (1 - 所得税费用 / 利润总额),"corporate,year,利润总额,财务费用——利息费用,所得税费用
+紫光国微,2021,2175893137.0,55365184.53,191900826.89
+泰格医药,2021,3684565814.91,24910069.6,292863592.81
+鹏鼎控股,2021,3816885917.05,30336464.04,500871848.27
+","corporate,year,NOPAT
+泰格医药,2021,3414632342.678413
+紫光国微,2021,2034474614.8185797
+鹏鼎控股,2021,3342369622.427626
+"
+CN,fundamental,对于复星医药、中国中车、国轩高科、金龙鱼在2019年NOPAT的值，计算最高的公司与第二名之间的差距。（单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,6844228467.6649,hard,valuation,EBIT × (1 - 实际税率) = (利润总额 + 利息支出) × (1 - 所得税费用 / 利润总额),"corporate,year,利润总额,财务费用——利息费用,所得税费用
+复星医药,2019,4525752634.36,1074690357.22,782231353.4
+中国中车,2019,16608325000.0,1020702000.0,2784624000.0
+国轩高科,2019,51894341.42,373273451.39,3561596.55
+金龙鱼,2019,6958111000.0,2833206000.0,1394475000.0
+","corporate,year,NOPAT
+中国中车,2019,14673267663.592024
+国轩高科,2019,395987807.042619
+复星医药,2019,4632462093.180175
+金龙鱼,2019,7829039195.92717
+"
+CN,fundamental,计算巨化股份在2018至2020年间的毛利率，做同比比较，其中同比下降有几次？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.0,hard,profitability,(营业收入 - 营业成本) / 营业收入 * 100%,"year,营业收入,营业成本
+2018,15656274278.14,11801642805.73
+2019,16067504118.42,13779649464.29
+2020,16053698564.79,14939201019.91
+","year,毛利率
+2018,24.620362443394413
+2019,14.239017069908028
+2020,6.942310149789336
+"
+CN,fundamental,2017至2019年，赣锋锂业的毛利率逐年同比，其中同比上升共多少次？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0,hard,profitability,(营业收入 - 营业成本) / 营业收入 * 100%,"year,营业收入,营业成本
+2017,4383446140.42,2609419791.69
+2018,5003882888.26,3197281384.89
+2019,5341720203.72,4086209564.51
+","year,毛利率
+2017,40.47104246067049
+2018,36.103992513665915
+2019,23.503863761633497
+"
+CN,fundamental,中煤能源在2018到2022年间，逐年做毛利率同比，同比上升的年份有多少个？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.0,hard,profitability,(营业收入 - 营业成本) / 营业收入 * 100%,"year,营业收入,营业成本
+2018,104140084000.0,74314057000.0
+2019,129334706000.0,93208133000.0
+2020,140964681000.0,116436455000.0
+2021,239828439000.0,197231700000.0
+2022,220576859000.0,165158439000.0
+","year,毛利率
+2018,28.640294739919742
+2019,27.932620807905963
+2020,17.400263545447956
+2021,17.7613377202526
+2022,25.124312791125565
+"
+CN,fundamental,对通威股份2017-2019年的毛利率做逐年同比，共发生同比下降几次？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.0,hard,profitability,(营业收入 - 营业成本) / 营业收入 * 100%,"year,营业收入,营业成本
+2017,26092117772.18,21025806891.04
+2018,27535170274.25,22326898401.27
+2019,37555118255.7,30536001116.46
+","year,毛利率
+2017,19.417016761061127
+2018,18.91497971904901
+2019,18.690174509501535
+"
+CN,fundamental,统计中国电信的毛利率在2021-2025年间逐年同比上升的次数。（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.0,hard,profitability,(营业收入 - 营业成本) / 营业收入 * 100%,"year,营业收入,营业成本
+2021,434159563363.61,307334882620.92
+2022,474967243497.96,339939749469.61
+2023,507842674997.4,361422204248.48
+2024,523568920041.49,373498406766.68
+2025,523924731368.75,371561570703.75
+","year,毛利率
+2021,29.211536827641854
+2022,28.428801328260434
+2023,28.831856391286863
+2024,28.662991161300738
+2025,29.08111634030946
+"
+CN,fundamental,计算恒瑞医药在2017至2019年间的EBIT利润率，做同比比较，其中同比上升有几次？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,profitability,(利润总额 + 利息支出) / 营业收入 * 100%,"year,营业收入,利润总额,财务费用——利息费用
+2017,13835629369.98,3759188764.63,0.0
+2018,17417901050.02,4499079580.04,0.0
+2019,23288576607.05,6055761514.41,0.0
+","year,EBIT利润率
+2017,27.170348844314514
+2018,25.830205184423377
+2019,26.00314143963946
+"
+CN,fundamental,2016至2020年，江苏银行的EBIT利润率逐年同比，其中同比上升共多少次？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0,hard,profitability,(利润总额 + 利息支出) / 营业收入 * 100%,"year,营业收入,利润总额,财务费用——利息费用
+2016,31455906000.0,13523982000.0,0.0
+2017,33839211000.0,13789564000.0,0.0
+2018,35223988000.0,14267401000.0,0.0
+2019,44974014000.0,15615486000.0,0.0
+2020,52026195000.0,16748006000.0,0.0
+","year,EBIT利润率
+2016,42.99345884362701
+2017,40.75025271718067
+2018,40.50478611337251
+2019,34.72113029537457
+2020,32.19148738438396
+"
+CN,fundamental,华东医药在2019到2021年间，逐年做EBIT利润率同比，同比上升的年份有多少个？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,profitability,(利润总额 + 利息支出) / 营业收入 * 100%,"year,营业收入,利润总额,财务费用——利息费用
+2019,35445698216.15,3470266224.45,107193977.78
+2020,33683058759.75,3453390540.98,68639542.18
+2021,34563301233.67,2827534948.72,88587220.57
+","year,EBIT利润率
+2019,10.092790895003485
+2020,10.456384345262297
+2021,8.437047577067801
+"
+CN,fundamental,对海南机场2021-2025年的EBIT利润率做逐年同比，共发生同比上升几次？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,profitability,(利润总额 + 利息支出) / 营业收入 * 100%,"year,营业收入,利润总额,财务费用——利息费用
+2021,4524553773.9,830109952.18,336358321.13
+2022,4700656255.83,2038570950.54,684263637.81
+2023,6761642242.46,1486823212.09,617144006.62
+2024,4368170552.09,425221565.31,596629358.16
+2025,4420103596.17,203216000.67,584618880.94
+","year,EBIT利润率
+2021,25.780846722140886
+2022,57.924562872960514
+2023,31.11621619816048
+2024,23.393109570345967
+2025,17.82390083102702
+"
+CN,fundamental,统计TCL科技的EBIT利润率在2018-2020年间逐年同比上升的次数。（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.0,hard,profitability,(利润总额 + 利息支出) / 营业收入 * 100%,"year,营业收入,利润总额,财务费用——利息费用
+2018,113360076000.0,4944380000.0,1782408000.0
+2019,74933086000.0,4055803000.0,1958251000.0
+2020,76677238000.0,5735304000.0,2594868000.0
+","year,EBIT利润率
+2018,5.93400096167896
+2019,8.025899266980677
+2020,10.86394374299189
+"
+CN,fundamental,计算智飞生物在2019至2023年间的EBITDA利润率，做同比比较，其中同比上升有几次？（指标单位：%）按中国会计准则，写出指标公式，搜集��始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,profitability,(利润总额 + 利息支出 + 折旧与摊销) / 营业收入 * 100%,"year,营业收入,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+2019,10587318311.6,2765378153.04,76112747.35,76135353.8,12376677.07,8047730.46
+2020,15190366231.21,3854072300.31,127140487.31,107146067.98,13785167.13,10496188.39
+2021,30652415906.61,11931054734.79,56144537.45,264128962.95,111717385.92,13010381.15
+2022,38264011331.74,8718007864.78,53295566.36,274532074.95,40411315.65,15886432.91
+2023,52963312548.05,9386873241.53,80996119.13,302861918.55,20843388.33,14679544.9
+","year,EBITDA利润率
+2019,27.75065956504702
+2020,27.07400301297676
+2021,40.37546678202022
+2022,23.787713148359284
+2023,18.515182945823966
+"
+CN,fundamental,2020至2022年，阳光电源的EBITDA利润率逐年同比，其中同比上升共多少次？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,profitability,(利润总额 + 利息支出 + 折旧与摊销) / 营业收入 * 100%,"year,营业收入,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+2020,19285641347.02,2181541884.75,97625042.31,222087280.83,11097464.36,9741993.25
+2021,24136598726.55,1892672136.23,124111368.7,328688221.38,13202982.08,5794200.09
+2022,40257239155.34,4133961610.05,209088016.88,435221765.31,18602955.49,13891643.07
+","year,EBITDA利润率
+2020,13.077572169461254
+2021,9.796197613705653
+2022,11.950064365409586
+"
+CN,fundamental,新奥股份在2017到2019年间，逐年做EBITDA利润率同比，同比下降的年份有多少个？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,profitability,(利润总额 + 利息支出 + 折旧与摊销) / 营业收入 * 100%,"year,营业收入,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+2017,10035632884.24,922604320.77,436890339.05,343154158.47,23874770.08,32942151.55
+2018,13632478995.19,1621185123.72,480095084.36,379600086.97,22979880.76,27537894.9
+2019,88652180000.0,10791950000.0,1357600000.0,2062080000.0,284330000.0,39160000.0
+","year,EBITDA利润率
+2017,17.5321851667479
+2018,18.568875635921856
+2019,16.395671262680736
+"
+CN,fundamental,对三峡能源2020-2022年的EBITDA利润率做逐年同比，共发生同比下降几次？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,profitability,(利润总额 + 利息支出 + 折旧与摊销) / 营业收入 * 100%,"year,营业收入,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+2020,11314932063.2,4285560864.11,2087335348.66,3906584251.75,49947451.52,30969913.59
+2021,16417133208.95,7511581792.51,2840735660.84,5326533478.14,57837307.85,19166578.18
+2022,23812176257.98,9002150834.03,4074464909.59,7975394494.94,213629676.35,27295687.3
+","year,EBITDA利润率
+2020,91.56394198181296
+2021,95.97202274591099
+2022,89.42036784678281
+"
+CN,fundamental,统计隆基绿能的EBITDA利润率在2016-2018年间逐年同比上升的次数。（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,profitability,(利润总额 + 利息支出 + 折旧与摊销) / 营业收入 * 100%,"year,营业收入,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+2016,11530533460.78,1792699377.2,0.0,389964235.81,8305915.79,27862644.45
+2017,16362284494.3,4017694926.41,269982923.65,655505085.04,9504645.45,64659752.38
+2018,21987614949.84,2867433171.22,408889931.51,1055058788.46,11730141.58,134749549.67
+","year,EBITDA利润率
+2016,19.24310077063775
+2017,30.664100325830752
+2018,20.36538111411936
+"
+CN,fundamental,计算保利发展在2019至2023年间的净利率，做同比比较，其中同比上升有几次？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,profitability,净利润 / 营业收入 * 100%,"year,营业收入,净利润
+2019,235933564582.09,37553966244.68
+2020,243109482718.25,40049287204.61
+2021,284933136294.19,37189475817.22
+2022,281016698161.88,26987449623.07
+2023,346828132945.99,17899220617.03
+","year,净利率
+2019,15.917178342640428
+2020,16.473765957959294
+2021,13.052001006587846
+2022,9.603503919729299
+2023,5.1608329650171045
+"
+CN,fundamental,2022至2024年，招商公路的净利率逐年同比，其中同比上升共多少次？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,profitability,净利润 / 营业收入 * 100%,"year,营业收入,净利润
+2022,8297090007.26,5252840524.48
+2023,9731355008.25,7216133359.43
+2024,12711004049.53,5936140410.85
+","year,净利率
+2022,63.30943161860043
+2023,74.15342830790104
+2024,46.70079867584885
+"
+CN,fundamental,上汽集团在2020到2024年间，逐年做净利率同比，同比上升的年份有多少个？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,profitability,净利润 / 营业收入 * 100%,"year,营业收入,净利润
+2020,723042589215.28,29188050869.17
+2021,759914635560.08,33941758857.55
+2022,720987528302.03,22842652824.11
+2023,726199110369.74,20060439042.58
+2024,614074061818.13,5833321330.31
+","year,净利率
+2020,4.036837014102844
+2021,4.466522589413468
+2022,3.168245209165525
+2023,2.7623882701214475
+2024,0.9499377506743888
+"
+CN,fundamental,对传音控股2022-2024年的净利率做逐年同比，共发生同比下降几次？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,profitability,净利润 / 营业收入 * 100%,"year,营业收入,净利润
+2022,46595902507.63,2466811469.97
+2023,62294876799.2,5587064723.54
+2024,68715278819.5,5597326843.87
+","year,净利率
+2022,5.2940523462681375
+2023,8.968738699892171
+2024,8.145680174816656
+"
+CN,fundamental,统计四川路桥的净利率在2016-2018年间逐年同比下降的次数。（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.0,hard,profitability,净利润 / 营业收入 * 100%,"year,营业收入,净利润
+2016,30108345149.42,1137432638.34
+2017,32762821060.43,1127974722.65
+2018,40019221370.24,1206906959.92
+","year,净利率
+2016,3.777798589378504
+2017,3.442849810062101
+2018,3.015818195847028
+"
+CN,fundamental,计算思源电气在2023至2025年间的净资产收益率，做同比比较，其中同比下降有几次？（指标单位：%；按归属于母公司的计算；所有者权益按期末值计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0,hard,profitability,净利润 / 所有者权益 * 100%,"year,归属于母公司所有者的净利润,归属于母公司所有者权益合计
+2023,1559170409.63,10384238941.48
+2024,2049069550.48,12379549868.31
+2025,3150142665.04,15493244005.21
+","year,净资产收益率
+2023,15.014777861109016
+2024,16.55205215276321
+2025,20.332363344827485
+"
+CN,fundamental,2016至2020年，中国银河的净资产收益率逐年同比，其中同比上升共多少次？（指标单位：%；按归属于母公司的计算；所有者权益按期末值计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.0,hard,profitability,净利润 / 所有者权益 * 100%,"year,归属于母公司所有者的净利润,归属于母公司所有者权益合计
+2016,5153546221.82,57988546199.71
+2017,3980730433.74,64513027189.45
+2018,2887126757.58,65982087431.27
+2019,5228429052.09,70895594078.45
+2020,7243654385.2,81254530272.04
+","year,净资产收益率
+2016,8.887179554513082
+2017,6.170428837651847
+2018,4.375622036188783
+2019,7.374829310696581
+2020,8.914769873074475
+"
+CN,fundamental,中国巨石在2020到2022年间，逐年做净资产收益率同比，同比上升的年份有多少个？（指标单位：%；按归属于母公司的计算；所有者权益按期末值计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,profitability,净利润 / 所有者权益 * 100%,"year,归属于母公司所有者的净利润,归属于母公司所有者权益合计
+2020,2416110988.92,17436585689.22
+2021,6028473746.53,22567564914.67
+2022,6610015911.86,27597668458.05
+","year,净资产收益率
+2020,13.856560177453417
+2021,26.713000579921687
+2022,23.951356332537994
+"
+CN,fundamental,对徐工机械2020-2022年的净资产收益率做逐年同比，共发生同比下降几次？（指标单位：%；按归属于母公司的计算；所有者权益按期末值计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,profitability,净利润 / 所有者权益 * 100%,"year,归属于母公司所有者的净利润,归属于母公司所有者权益合计
+2020,3728859646.1,33692568977.03
+2021,8207957892.0,51530797651.11
+2022,4312439963.96,53259375967.02
+","year,净资产收益率
+2020,11.067305816431393
+2021,15.928257015488285
+2022,8.0970531209949
+"
+CN,fundamental,统计中微公司的净资产收益率在2022-2024年间逐年同比上升的次数。（指标单位：%；按归属于母公司的计算；所有者权益按期末值计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,profitability,净利润 / 所有者权益 * 100%,"year,归属于母公司所有者的净利润,归属于母公司所有者权益合计
+2022,1169792388.77,15483931875.39
+2023,1785907974.46,17826122876.82
+2024,1615675746.81,19736912284.36
+","year,净资产收益率
+2022,7.5548794594560045
+2023,10.018487961744533
+2024,8.186061342990818
+"
+CN,fundamental,计算小商品城在2016至2018年间的总资产收益率，做同比比较，其中同比上升有几次？（指标单位：%；总资产按期末值计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,profitability,净利润 / 总资产 * 100%,"year,净利润,资产合计
+2016,1003420950.25,27139878151.29
+2017,1408728515.74,23861326924.56
+2018,1041770067.35,26877858287.71
+","year,总资产收益率
+2016,3.697219805691375
+2017,5.903814654540536
+2018,3.875941513637466
+"
+CN,fundamental,2022至2024年，思源电气的总资产收益率逐年同比，其中同比上升共多少次？（指标单位：%；总资产按期末值计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.0,hard,profitability,净利润 / 总资产 * 100%,"year,净利润,资产合计
+2022,1287580125.62,15714883628.63
+2023,1608514159.51,18733339007.0
+2024,2084824638.44,23473702058.27
+","year,总资产收益率
+2022,8.193379957801502
+2023,8.586371916447751
+2024,8.88153318664747
+"
+CN,fundamental,同仁堂在2022到2024年间，逐年做总资产收益率同比，同比上升的年份有多少个？（指标单位：%；总资产按期末值计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,profitability,净利润 / 总资产 * 100%,"year,净利润,资产合计
+2022,2204076827.29,27054123244.38
+2023,2583225229.82,30089450163.66
+2024,2280337512.47,31197524019.77
+","year,总资产收益率
+2022,8.146916488036094
+2023,8.585152655729964
+2024,7.309354136645396
+"
+CN,fundamental,对福斯特2016-2018年的总资产收益率做逐年同比，共发生同比下降几次？（指标单位：%；总资产按期末值计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,profitability,净利润 / 总资产 * 100%,"year,净利润,资产合计
+2016,847755414.01,5496516603.71
+2017,585199370.57,5703364920.9
+2018,750055136.48,6455917796.66
+","year,总资产收益率
+2016,15.423503195419949
+2017,10.260598413149665
+2018,11.61810233810667
+"
+CN,fundamental,统计东方盛虹的总资产收益率在2016-2020年间逐年同比下降的次数。（指标单位：%；总资产按期末值计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.0,hard,profitability,净利润 / 总资产 * 100%,"year,净利润,资产合计
+2016,147203132.46,4967757515.62
+2017,1429157967.52,13498191470.01
+2018,965183487.05,29630939072.62
+2019,1612160788.59,35042252671.09
+2020,839727568.72,83332366504.85
+","year,总资产收益率
+2016,2.9631706458528373
+2017,10.587773708020613
+2018,3.257350314428146
+2019,4.600619725341
+2020,1.0076847735640957
+"
+CN,fundamental,计算华友钴业在2018至2020年间的投入资本回报率，做同比比较，其中同比下降有几次？（指标单位：%；投入资本用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,profitability,ROIC = NOPAT / 平均投入资本 * 100%；NOPAT = (利润总额 + 利息支出) × (1 - 所得税费用 / 利润总额)；投入资本 = 股东权益 + 有息负债（短期借款 + 长期借款 + 应付债券 + 一年内到期非流动负债 + 租赁负债 + 应付利息）- 金融资产（货币资金 + 交易性金融资产 + 其他权益工具投资 + 其他债权投资 + 债权投资 + 衍生金融资产 + 买入返售金���资产）,"year,利润总额,财务费用——利息费用,所得税费用,股东权益合计,短期借款,长期借款,应付债券,一年内到期的非流动负债,租赁负债,应付利息,货币资金,交易性金融资产,其他权益工具投资,其他债权投资,债权投资,衍生金融资产,买入返售金融资产
+2017,2209181105.37,304691260.15,323545940.09,6077234126.01,5556186833.63,343164929.06,0.0,240019924.35,0.0,17721918.73,1752885040.46,15897613.6,0.0,0.0,0.0,0.0,0.0
+2018,1765046495.81,517051707.53,240380994.28,8410298254.89,5121992187.76,265660629.25,715662003.49,559320685.32,0.0,84428317.74,2324164775.98,15315198.87,0.0,0.0,0.0,0.0,0.0
+2019,159265708.13,375408861.86,51141792.63,10090893026.87,5914977746.01,1053257446.93,0.0,1210911594.48,0.0,1740921.44,2885760539.3,103543722.85,21930092.52,0.0,0.0,0.0,0.0
+2020,1478722242.53,394032889.3,353069064.61,12451804976.51,5862436627.54,1422004973.18,0.0,1448009624.78,0.0,0.0,2334257628.92,30317180.12,5653575.0,0.0,0.0,0.0,0.0
+","year,投入资本回报率
+2018,16.933075386176682
+2019,2.585509958251687
+2020,8.367554510876491
+"
+CN,fundamental,2018至2022年，紫金矿业的投入资本回报率逐年同比，其中同比上升共多少次？（指标单位：%；投入资本用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.0,hard,profitability,ROIC = NOPAT / 平均投入资本 * 100%；NOPAT = (利润总额 + 利息支出) × (1 - 所得税费用 / 利润总额)；投入资本 = 股东权益 + 有息负债（短期借款 + 长期借款 + 应付债券 + 一年内到期非流动负债 + 租赁负债 + 应付利息）- 金融资产（货币资金 + 交易性金融资产 + 其他权益工具投资 + 其他债权投资 + 债权投资 + 衍生金融资产 + 买入返售金融资产）,"year,利润总额,财务费用——利息费用,所得税费用,股东权益合计,短期借款,长期借款,应付债券,一年内到期的非流动负债,租赁负债,应付利息,货币资金,交易性金融资产,其他权益工具投资,其他债权投资,债权投资,衍生金融资产,买入返售金融资产
+2017,4567960193.0,1589043304.0,1320410996.0,37642845218.0,9855873011.0,6599046795.0,13779116465.0,4600343261.0,0.0,437156936.0,5936066673.0,2553927721.0,0.0,0.0,0.0,0.0,0.0
+2018,6130179782.0,1575846889.0,1447503229.0,47273712702.0,15616680236.0,12917915706.0,8879453693.0,9707089022.0,0.0,502305167.0,10089890808.0,787134360.0,1983796793.0,0.0,0.0,0.0,0.0
+2019,6974278766.0,1927817536.0,1913374082.0,57079598064.0,14440917886.0,13826221524.0,11966468687.0,5768840060.0,282347122.0,35579862.0,6225144800.0,687951525.0,4410441677.0,0.0,0.0,0.0,0.0
+2020,10846027174.0,2056543584.0,2387988221.0,74596441476.0,20719121154.0,29082887198.0,16109678619.0,7975748215.0,172704600.0,0.0,11955339296.0,1930142166.0,6482326358.0,0.0,255811321.0,0.0,0.0
+2021,24793810492.0,2111953389.0,5194172140.0,92897170544.0,18229100791.0,36126816893.0,14247474590.0,9470350520.0,184195155.0,0.0,14221780252.0,2935224582.0,9415646061.0,0.0,468136162.0,0.0,0.0
+2022,29992850973.0,3444817054.0,5225640850.0,124455445505.0,23666315501.0,68819578332.0,23870516058.0,7645305535.0,222586249.0,0.0,20243737052.0,5093808339.0,10545595648.0,0.0,321929780.0,0.0,0.0
+","year,投入资本回报率
+2018,8.038227295461072
+2019,7.420283787079803
+2020,9.142535453854897
+2021,15.63061618704887
+2022,15.48664621254229
+"
+CN,fundamental,小商品城在2021到2025年间，逐年做投入资本回报率同比，同比下降的年份有多少个？（指标单位：%；投入资本用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,profitability,ROIC = NOPAT / 平均投入资本 * 100%；NOPAT = (利润总额 + 利息支出) × (1 - 所得税费用 / 利润总额)；投入资本 = 股东权益 + 有息负债（短期借款 + 长期借款 + 应付债券 + 一年内到期非流动负债 + 租赁负债 + 应付利息）- 金融资产（货币资金 + 交易性金融资产 + 其他权益工具投资 + 其他债权投资 + 债权投资 + 衍生金融资产 + 买入返售金融资产）,"year,利润总额,财务费用——利息费用,所得税费用,股东权益合计,短期借款,长期借款,应付债券,一年内到期的非流动负债,租赁负债,应付利息,货币资金,交易性金融资产,其他权益工具投资,其他债权投资,债权投资,衍生金融资产,买入返售金融资产
+2020,1421591074.43,416095890.57,499755019.22,13574709377.24,1257179389.4,282000000.0,3552161709.68,1315026574.43,0.0,0.0,5612642932.21,51712734.31,662256342.79,0.0,0.0,0.0,0.0
+2021,1656693823.97,341313765.39,327525237.95,14630842093.8,942736046.04,771250000.0,0.0,3664241923.08,205942673.93,0.0,4831468386.25,75375083.2,642187968.77,0.0,0.0,0.0,0.0
+2022,1149806832.6,280924664.39,46205700.39,15281096382.65,1059287361.11,404500000.0,3497416819.75,86852293.01,206623735.97,0.0,1991298971.3,62331000.66,499200803.85,0.0,48079561.64,0.0,0.0
+2023,3208071559.14,194769865.08,526668944.35,17703937521.27,1619804888.91,862798863.03,3498452484.47,179140794.24,176832206.26,0.0,2922735320.61,15130895.0,556897379.17,0.0,48073333.34,0.0,0.0
+2024,4028742952.85,141844557.9,950494867.16,20572459883.58,60054266.67,657589300.38,0.0,3764748211.13,149984238.78,0.0,5539191617.06,400316994.86,671036258.3,0.0,0.0,0.0,0.0
+2025,5407571550.51,79492675.78,1191855783.31,23028691336.28,0.0,456224418.38,2799044726.49,120988024.0,129609121.91,0.0,6815989217.0,2093640647.73,661002071.26,0.0,0.0,0.0,0.0
+","year,投入资本回报率
+2021,11.320480234001446
+2022,8.424545788521018
+2023,14.800808736063184
+2024,16.303045011152626
+2025,24.060193421108185
+"
+CN,fundamental,对龙源电力2018-2020年的投入资本回报率做逐年同比，共发生同比下降几次？（指标单位：%；投入资本用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.0,hard,profitability,ROIC = NOPAT / 平均投入资本 * 100%；NOPAT = (利润总额 + 利息支出) × (1 - 所得税费用 / 利润总额)；投入资本 = 股东权益 + 有息负债（短期借款 + 长期借款 + 应付债券 + 一年内到期非流动负债 + 租赁负债 + 应付利息）- 金融资产（货币资金 + 交易性金融资产 + 其他权益工具投资 + 其他债权投资 + 债权投资 + 衍生金融资产 + 买入返售金融资产）,"year,利润总额,财务费用——利息费用,所得税费用,股东权益合计,短期借款,长期借款,应付债券,一年内到期的非流动负债,租赁负债,应付利息,货币资金,交易性金融资产,其他权益工具投资,其他债权投资,债权投资,衍生金融资产,买入返售金融资产
+2017,5432650130.2,2846635615.42,853423419.35,53537080534.64,29228694816.92,23597192825.44,19039667256.88,578155491.24,0.0,0.0,5108492012.04,77812705.25,970593806.08,0.0,0.0,0.0,0.0
+2018,5833972058.53,3564271989.93,821529684.25,56769286128.41,18109474180.55,26751392519.24,21227533385.97,3453969941.09,442082006.74,676136861.95,3114395845.86,249080221.03,872221835.44,0.0,0.0,0.0,0.0
+2019,6430368620.38,3384520738.08,1149835337.85,61041622231.63,17662875797.15,26873228279.71,22005613328.83,7621219617.23,437071415.09,0.0,3431840140.92,249524722.11,1086047933.07,0.0,73994000.0,0.0,0.0
+2020,6980792956.32,2974137017.06,1232989808.54,66871553292.63,15340558421.48,35401537655.15,17196517446.1,12253507322.74,145195897.84,0.0,5587563419.86,303376599.28,758099906.5,0.0,117748698.69,0.0,0.0
+","year,投入资本回报率
+2018,6.645431648284118
+2019,6.346483794238438
+2020,6.043769695610611
+"
+CN,fundamental,统计中国神华的投入资本回报率在2017-2021年间逐年同比上升的次数。（指标单位：%；投入资本用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.0,hard,profitability,ROIC = NOPAT / 平均投入资本 * 100%；NOPAT = (利润总额 + 利息支出) × (1 - 所得税费用 / 利润总额)；投入资本 = 股东权益 + 有息负债（短期借款 + 长期借款 + 应付债券 + 一年内到期非流动负债 + 租赁负债 + 应付利息）- 金融资产（货币资金 + 交易性金融资产 + 其他权益工具投资 + 其他债权投资 + 债权投资 + 衍生金融资产 + 买入返售金融资产）,"year,利润总额,财务费用——利息费用,所得税费用,股东权益合计,短期借款,长期借款,应付债券,一年内到期的非流动负债,租赁负债,应付利息,货币资金,交易性金融资产,其他权益工具投资,其他债权投资,债权投资,衍生金融资产,买入返售金融资产
+2016,38896000000.0,0.0,9360000000.0,379904000000.0,4384000000.0,58462000000.0,15316000000.0,27819000000.0,0.0,705000000.0,50757000000.0,54000000.0,0.0,0.0,0.0,0.0,0.0
+2017,70333000000.0,4136000000.0,16283000000.0,374627000000.0,9493000000.0,64321000000.0,6485000000.0,14899000000.0,0.0,0.0,81090000000.0,108000000.0,0.0,0.0,0.0,0.0,0.0
+2018,70069000000.0,4649000000.0,16028000000.0,404450000000.0,2000000000.0,46765000000.0,6823000000.0,4229000000.0,0.0,0.0,72205000000.0,32452000000.0,811000000.0,0.0,9352000000.0,0.0,0.0
+2019,66724000000.0,2849000000.0,15184000000.0,415619000000.0,835000000.0,36943000000.0,3460000000.0,8517000000.0,623000000.0,471000000.0,51481000000.0,33435000000.0,1789000000.0,0.0,21107000000.0,0.0,0.0
+2020,62662000000.0,2261000000.0,15397000000.0,425130000000.0,5043000000.0,50251000000.0,3241000000.0,4735000000.0,606000000.0,263000000.0,127457000000.0,0.0,1845000000.0,0.0,400000000.0,0.0,0.0
+2021,77150000000.0,2573000000.0,18016000000.0,445451000000.0,4248000000.0,49193000000.0,3172000000.0,7283000000.0,1510000000.0,209000000.0,162886000000.0,0.0,2174000000.0,0.0,400000000.0,0.0,0.0
+","year,投入资本回报率
+2017,13.883562821514653
+2018,15.615388179639448
+2019,15.178771823980702
+2020,13.636555260505412
+2021,17.330826707160334
+"
+CN,fundamental,计算宝钢股份在2019至2021年间的存货周转天数，做同比比较，其中同比上升有几次？（存货用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,operational efficiency,平均存货 / 营业成本 * 365,"year,营业成本,存货
+2018,259422850796.45,41568631679.7
+2019,259873359648.27,40299745478.15
+2020,251988798492.09,39506285448.23
+2021,324476452147.78,49490104273.93
+","year,存货周转天数
+2019,57.49330693815537
+2020,57.7986034745173
+2021,50.05553104635461
+"
+CN,fundamental,2020至2024年，卫星化学的存货周转天数逐年同比，其中同比上升共多少次？（存货用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.0,hard,operational efficiency,平均存货 / 营业成本 * 365,"year,营业成本,存货
+2019,7964611578.86,903017681.33
+2020,7680570376.58,1233688056.64
+2021,19515231005.46,3293712008.55
+2022,30921727638.64,3876578181.59
+2023,33257389787.27,4233443857.76
+2024,34890966462.24,4397583301.67
+","year,存货周转天数
+2020,50.77081233036774
+2021,42.33875128949309
+2022,42.31904423300534
+2023,44.50376387469554
+2024,45.14528017733934
+"
+CN,fundamental,合盛硅业在2021到2025年间，逐年做存货周转天数同比，同比下降的年份有多少个？（存货用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,operational efficiency,平均存货 / 营业成本 * 365,"year,营业成本,存货
+2020,6441584869.86,2504900616.44
+2021,10084631045.66,4532933898.9
+2022,15521994540.68,7610454690.39
+2023,21227842146.59,7148131562.5
+2024,21208790694.93,9508621703.92
+2025,19004725882.9,7108889215.58
+","year,存货周转天数
+2021,127.36259692934465
+2022,142.77600805343008
+2023,126.88251460288414
+2024,143.33007076392778
+2025,159.5758739955043
+"
+CN,fundamental,对华鲁恒升2017-2021年的存货周转天数做逐年同比，共发生同比上升几次？（存货用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,operational efficiency,平均存货 / 营业成本 * 365,"year,营业成本,存货
+2016,6142982365.34,519403561.79
+2017,8366571933.2,401626120.19
+2018,9980458181.5,557174728.66
+2019,10239496828.28,331621871.3
+2020,10312455231.29,273431284.88
+2021,17274156254.01,1038567410.95
+","year,存货周转天数
+2017,20.090416756515076
+2018,17.532376944324454
+2019,15.841147491223625
+2020,10.707653854128502
+2021,13.86115526964692
+"
+CN,fundamental,统计中国铝业的存货周转天数在2023-2025年间逐年同比上升的次数。（存货用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,operational efficiency,平均存货 / 营业成本 * 365,"year,营业成本,存货
+2022,257602506000.0,24712322000.0
+2023,196310707000.0,22847135000.0
+2024,199765398000.0,24420614000.0
+2025,197654839000.0,24021595000.0
+","year,存货周转天数
+2023,44.213588933282175
+2024,43.18247443683916
+2025,44.72798737044834
+"
+CN,fundamental,计算白云山在2017至2019年间的应收账款周转天数，做同比比较，其中同比下降有几次？（使用应收票据及应收账款，用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0,hard,operational efficiency,平均应收票据及应收账款 / 营业收入 * 365,"year,营业收入,应收票据及应收账款
+2016,20035681499.37,2713131492.5
+2017,20954225189.53,2816424481.59
+2018,42233838051.12,13653056156.35
+2019,64951777641.83,14081106061.52
+","year,应收账款周转天数
+2017,48.15945023706506
+2018,71.16758398291822
+2019,77.92680644819792
+"
+CN,fundamental,2021至2023年，华润微的应收账款周转天数逐年同比，其中同比下降共多少次？（使用应收票据及应收账款，用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,operational efficiency,平均应收票据及应收账款 / 营业收入 * 365,"year,营业收入,应收票据及应收账款
+2020,6977259188.03,1269880956.38
+2021,9249202849.06,1150758995.2
+2022,10060129516.04,1297692759.8
+2023,9900603859.18,1554429460.64
+","year,应收账款周转天数
+2021,47.76268813352352
+2022,44.41716625765589
+2023,52.57379374366873
+"
+CN,fundamental,特变电工在2017到2021年间，逐年做应收账款周转天数同比，同比上升的年份有多少个？（使用应收票据及应收账款，用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,operational efficiency,平均应收票据及应收账款 / 营业收入 * 365,"year,营业收入,应收票据及应收账款
+2016,40117492192.36,11648083051.76
+2017,38281201718.14,15280288069.73
+2018,39655527759.96,13302507801.53
+2019,36980048574.43,13161191168.66
+2020,44598305581.86,14835432319.02
+2021,68967677641.42,16640324516.67
+","year,应收账款周转天数
+2017,128.37704954657065
+2018,131.54181878703642
+2019,130.60083067059946
+2020,114.56452705637768
+2021,83.29011239699261
+"
+CN,fundamental,对中国石油2021-2023年的应收账款周转天数做逐年同比，共发生同比下降几次？（使用应收票据及应收账款，用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,operational efficiency,平均应收票据及应收账款 / 营业收入 * 365,"year,营业收入,应收票据及应收账款
+2020,1933836000000.0,52325000000.0
+2021,2614349000000.0,52746000000.0
+2022,3239167000000.0,72028000000.0
+2023,3012812000000.0,69006000000.0
+","year,应收账款周转天数
+2021,7.334696897774551
+2022,7.029972520712887
+2023,8.543083670670457
+"
+CN,fundamental,统计迈瑞医疗的应收账款周转天数在2017-2019年间逐年同比上升的次数。（使用应收票据及应收账款，用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,operational efficiency,平均应收票据及应收账款 / 营业收入 * 365,"year,营业收入,应收票据及应收账款
+2016,9031723194.0,1051531056.0
+2017,11173795364.0,1422963571.0
+2018,13753357469.0,1627332696.0
+2019,16555991314.0,1695290771.0
+","year,应收账款周转天数
+2017,40.41556648535558
+2018,40.47586707334931
+2019,36.6259423085549
+"
+CN,fundamental,计算恒瑞医药在2017至2021年间的应付账款周转天数，做同比比较，其中同比上升有几次？（使用应付票据及应付账款，用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.0,hard,operational efficiency,平均应付票据及应付账款 / 营业成本 * 365,"year,营业成本,应付票据及应付账款
+2016,1434631411.69,755038237.73
+2017,1849877052.01,733693628.8
+2018,2334568085.36,1402074572.82
+2019,2912944053.09,1289246788.04
+2020,3348689669.44,1432734474.95
+2021,3741798550.11,2252777275.02
+","year,应付账款周转天数
+2017,146.8711476508744
+2018,166.9592329475988
+2019,168.6150298135419
+2020,148.34506315383598
+2021,179.7547049532509
+"
+CN,fundamental,2018至2020年，中煤能源的应付账款周转天数逐年同比，其中同比上升共多少次？（使用应付票据及应付账款，用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0,hard,operational efficiency,平均应付票据及应付账款 / 营业成本 * 365,"year,营业成本,应付票据及应付账款
+2017,55346730000.0,22912526000.0
+2018,74314057000.0,22931854000.0
+2019,93208133000.0,23270439000.0
+2020,116436455000.0,25197387000.0
+","year,应付账款周转天数
+2018,112.58434390145057
+2019,90.46333405798397
+2020,75.96743000291447
+"
+CN,fundamental,春秋航空在2019到2023年间，逐年做应付账款周转天数同比，同比下降的年份有多少个？（使用应付票据及应付账款，用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.0,hard,operational efficiency,平均应付票据及应付账款 / 营业成本 * 365,"year,营业成本,应付票据及应付账款
+2018,11844399916.0,599887878.0
+2019,13114555625.0,731435512.0
+2020,9975724242.0,681451731.0
+2021,11330807269.0,666556028.0
+2022,11590342886.0,661640939.0
+2023,15518700426.0,902389393.0
+","year,应付账款周转天数
+2019,18.52647742115166
+2020,25.847940018418566
+2021,21.711728933079957
+2022,20.91361307095501
+2023,18.393005068374272
+"
+CN,fundamental,对中国中铁2021-2025年的应付账款周转天数做逐年同比，共发生同比下降几次？（使用应付票据及应付账款，用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0,hard,operational efficiency,平均应付票据及应付账款 / 营业成本 * 365,"year,营业成本,应付票据及应付账款
+2020,874935845000.0,384565344000.0
+2021,963406073000.0,405520049000.0
+2022,1038544007000.0,480429953000.0
+2023,1134641814000.0,588737085000.0
+2024,1043972731000.0,773169234000.0
+2025,988773849000.0,873207461000.0
+","year,应付账款周转天数
+2021,149.66750601176665
+2022,155.68514600749123
+2023,171.96879405239335
+2024,238.0789227889325
+2025,303.87509453387656
+"
+CN,fundamental,统计航发动力的应付账款周转天数在2022-2024年间逐年同比上升的次数。（使用应付票据及应付账款，用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.0,hard,operational efficiency,平均应付票据及应付账款 / 营业成本 * 365,"year,营业成本,应付票据及应付账款
+2021,29841563493.27,22596765703.83
+2022,33082485284.13,26569240699.29
+2023,39100044775.54,32584968964.21
+2024,43063744497.28,41582054268.06
+","year,应付账款周转天数
+2022,271.22497271611394
+2023,276.1030920952354
+2024,314.3126984868723
+"
+CN,fundamental,计算大华股份在2023至2025年间的营业周期，做同比比较，其中同比上升有几次？（计算应收账款周转天数时，使用应收票据及应收账款；存货和应收票据及应收账款都用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,operational efficiency,存货周转天数 + 应收账款周转天数,"year,营业成本,存货,营业收入,应收票据及应收账款
+2022,18989797670.92,7315372440.02,30565370012.64,16284210632.68
+2023,18804021731.3,5332608544.02,32218317636.77,17089843146.78
+2024,19681686604.51,5203560771.25,32180931827.17,17823844778.88
+2025,19442555822.77,6090171290.38,32743783343.8,16255556820.38
+","year,营业周期
+2023,311.7999867076374
+2024,295.6950898056216
+2025,295.95421029278657
+"
+CN,fundamental,2020至2022年，龙芯中科的营业周期逐年同比，其中同比下降共多少次？（计算应收账款周转天数时，使用应收票据及应收账款；存货和应收票据及应收账款都用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0,hard,operational efficiency,存货周转天数 + 应收账款周转天数,"year,营业成本,存货,营业收入,应收票据及应收账款
+2019,207414977.91,152493367.78,485629263.56,118537241.83
+2020,554933721.24,339281781.41,1082320993.24,325890274.65
+2021,555622498.68,437439093.26,1201253983.94,489220176.35
+2022,390816377.14,745641817.47,738657855.87,676863107.4
+","year,营业周期
+2020,236.668131458726
+2021,378.9573739095395
+2022,840.5686217338423
+"
+CN,fundamental,深南电路在2022到2024年间，逐年做营业周期同比，同比下降的年份有多少个？（计算应收账款周转天数时，使用应收票据及应收账款；存货和应收票据及应收账款都用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,operational efficiency,存货周转天数 + 应收账款周转天数,"year,营业成本,存货,营业收入,应收票据及应收账款
+2021,10636989974.18,2526556570.04,13942521948.74,3014524847.8
+2022,10421748436.5,2340891041.46,13992454035.04,3137469542.95
+2023,10356704502.81,2686348293.78,13526425962.45,3335737539.27
+2024,13460306237.07,3394998926.68,17907445251.3,4317352656.07
+","year,营业周期
+2022,165.47498945627888
+2023,175.92438258894256
+2024,160.44811590155797
+"
+CN,fundamental,对寒武纪2021-2023年的营业周期做逐年同比，共发生同比下降几次？（计算应收账款周转天数时，使用应收票据及应收账款；存货和应收票据及应收账款都用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,operational efficiency,存货周转天数 + 应收账款周转天数,"year,营业成本,存货,营业收入,应收票据及应收账款
+2020,158869961.04,90618443.54,458927330.67,207646239.35
+2021,271150663.79,287029793.25,721045278.97,478035101.67
+2022,249622353.64,287121493.51,729034623.05,765635475.89
+2023,218799649.46,99401068.16,709386584.26,643921052.59
+","year,营业周期
+2021,427.72821358830237
+2022,731.0938864936238
+2023,685.0259628333799
+"
+CN,fundamental,统计中航沈飞的营业周期在2021-2023年间逐年同比下降的次数。（计算应收账款周转天数时，使用应收票据及应收账款；存货和应收票据及应收账款都用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,operational efficiency,存货周转天数 + 应收账款周转天数,"year,营业成本,存货,营业收入,应收票据及应收账款
+2020,24793578864.74,7778495511.91,27315905003.59,5262042374.97
+2021,31246028021.08,9295572475.36,34686464961.86,3791247405.32
+2022,37459711875.41,12172484465.08,41597743943.34,3487911295.04
+2023,41184208925.63,11649717014.2,46247778579.66,9423831403.98
+","year,营业周期
+2021,147.35837658474867
+2022,136.52578477200834
+2023,156.51504745110122
+"
+CN,fundamental,计算海天味业在2019至2021年间的现金周转期，做同比比较，其中同比下降有几次？（计算应收账款周转天数时，使用应收票据及应收账款；计算应付账款周转天数时，使用应付票据及应付账款；存货、应收票据及应收账款和应付票据及应付账款都用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,operational efficiency,存货周转天数 + 应收账款周转天数 - 应付账款周转天数,"year,营业成本,存货,营业收入,应收票据及应收账款,应付票据及应付账款
+2018,9119051026.25,1203328316.58,17034475127.23,2444554.89,744839797.74
+2019,10800720678.76,1802760746.44,19796889800.07,2463315.07,1298471697.18
+2020,13180788066.91,2099920921.86,22791873936.49,41492650.3,1414732050.85
+2021,15336858254.4,2226818960.68,25004031043.49,56045139.23,2073530675.02
+","year,现金周转期
+2019,16.313316206005467
+2020,16.821369707602926
+2021,10.68931834677953
+"
+CN,fundamental,2023至2025年，卓胜微的现金周转期逐年同比，其中同比上升共多少次？（计算应收账款周转天数时，使用应收票据及应收账款；计算应付账款周转天数时，使用应付票据及应付账款；存货、应收票据及应收账款和应付票据及应付账款都用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.0,hard,operational efficiency,存货周转天数 + 应收账款周转天数 - 应付账款周转天数,"year,营业成本,存货,营业收入,应收票据及应收账款,应付票据及应付账款
+2022,1731907789.39,1719682522.34,3677493060.96,400436945.62,476115712.07
+2023,2344668770.85,1492668833.39,4378236624.12,518116770.1,634842248.75
+2024,2715202907.11,2520876207.07,4486931811.79,578978664.35,879598480.73
+2025,2769502714.09,3322103393.74,3726094578.61,600844190.89,1263187343.46
+","year,现金周转期
+2023,201.8528666518156
+2024,212.5980225746056
+2025,301.6155249027703
+"
+CN,fundamental,东方盛虹在2020到2024年间，逐年做现金周转期同比，同比下降的年份有多少个？（计算应收账款周转天数时，使用应收票据及应收账款；计算应付账款周转天数时，使用应付票据及应付账款；存货、应收票据及应收账款和应付票据及应付账款都用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,operational efficiency,存货周转天数 + 应收账款周转天数 - 应付账款周转天数,"year,营业成本,存货,营业收入,应收票据及应收账款,应付票据及应付账款
+2019,21868365543.63,2858509055.71,24887768959.59,357909488.29,4767649734.56
+2020,31047552185.4,3910849372.32,33698796950.06,336149774.87,9312463867.71
+2021,44000478281.97,6085991650.69,52690217451.46,880085040.4,18489186970.28
+2022,58864403011.43,17540721603.25,63872900064.79,793707657.88,16049981305.82
+2023,124613404201.31,18208194467.86,140439738058.63,1786498118.01,16341205966.5
+2024,126062118131.07,16873219225.01,137674557166.85,2425480068.45,14250773680.27
+","year,现金周转期
+2020,-39.21444109819834
+2021,-69.63609168638146
+2022,-29.04996115666212
+2023,8.270443659208958
+2024,12.082704762699024
+"
+CN,fundamental,对恒立液压2021-2025年的现金周转期做逐年同比，共发生同比上升几次？（计算应收账款周转天数时，使用应收票据及应收账款；计算应付账款周转天数时，使用应付票据及应付账款；存货、应收票据及应收账款和应付票据及应付账款都用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列��原始数据和关键计算过程。,3.0,hard,operational efficiency,存货周转天数 + 应收账款周转天数 - 应付账款周转天数,"year,营业成本,存货,营业收入,应收票据及应收账款,应付票据及应付账款
+2020,4391049320.56,1217028164.13,7855038369.93,1764518515.59,1130664225.67
+2021,5211940603.42,1606653422.76,9309218098.53,1507948966.13,1188012759.68
+2022,4872676485.9,1765545027.07,8196713892.3,1592561625.52,1322800524.7
+2023,5234182050.2,1692069078.96,8984640412.62,1672558900.8,1296653759.93
+2024,5368244272.45,1764523892.08,9389689159.97,1972954019.55,1135537623.59
+2025,6391976738.28,2154205275.48,10941028858.98,2439797438.75,1023307692.8
+","year,现金周转期
+2021,81.83730063167484
+2022,101.295034222242
+2023,95.54665831521143
+2024,105.68074538965685
+2025,123.85334141136167
+"
+CN,fundamental,统计中国石化的现金周转期在2022-2024年间逐年同比下降的次数。（计算应收账款周转天数时，使用应收票据及应收账款；计算应付账款周转天数时，使用应付票据及应付账款；存货、应收票据及应收账款和应付票据及应付账款都用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0,hard,operational efficiency,存货周转天数 + 应收账款周转天数 - 应付账款周转天数,"year,营业成本,存货,营业收入,应收票据及应收账款,应付票据及应付账款
+2021,2216551000000.0,207433000000.0,2740884000000.0,34861000000.0,215640000000.0
+2022,2819363000000.0,244241000000.0,3318168000000.0,46364000000.0,269424000000.0
+2023,2709656000000.0,250898000000.0,3212215000000.0,48652000000.0,259000000000.0
+2024,2598935000000.0,256595000000.0,3074562000000.0,44333000000.0,256597000000.0
+","year,现金周转期
+2022,2.3060277209378377
+2023,3.1564729261524036
+2024,4.9503365683236
+"
+CN,fundamental,计算中航光电在2017至2021年间的存货周转率，做同比比较，其中同比下降有几次？（存货用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.0,hard,operational efficiency,营业成本 / 平均存货,"year,营业成本,存货
+2016,3878878739.28,1278167609.44
+2017,4132839616.31,1337641498.31
+2018,5268388480.53,1964827913.84
+2019,6165619617.44,2049336532.02
+2020,6592355004.36,2791915080.05
+2021,8105695410.71,4729803768.32
+","year,存货周转率
+2017,3.1598938959768974
+2018,3.1905751866450336
+2019,3.071931755959275
+2020,2.7234093712147596
+2021,2.155277423714541
+"
+CN,fundamental,2017至2019年，金龙鱼的存货周转率逐年同比，其中同比上升共多少次？（存货用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,operational efficiency,营业成本 / 平均存货,"year,营业成本,存货
+2016,118713700000.0,28304380000.0
+2017,138074421000.0,33994096000.0
+2018,150020744000.0,37088277000.0
+2019,151275557000.0,34550680000.0
+","year,存货周转率
+2017,4.4326741154952165
+2018,4.221039272282033
+2019,4.223276366237437
+"
+CN,fundamental,上海莱士在2022到2024年间，逐年做存货周转率同比，同比下降的年份有多少个？（存货用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,operational efficiency,营业成本 / 平均存货,"year,营业成本,存货
+2021,2065434903.26,3173222711.94
+2022,3667398039.0,3268843130.57
+2023,4715319081.16,3666931557.58
+2024,4858913175.34,4292524367.49
+","year,存货周转率
+2022,1.1385782538264415
+2023,1.3597094176707551
+2024,1.2209159070875233
+"
+CN,fundamental,对山东黄金2021-2023年的存货周转率做逐年同比，共发生同比下降几次？（存货用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,operational efficiency,营业成本 / 平均存货,"year,营业成本,存货
+2020,55621433703.23,3204304427.04
+2021,30350808011.18,2983757179.61
+2022,43212019499.58,4092280432.33
+2023,49436660022.73,8848047161.2
+","year,存货周转率
+2021,9.809471831554976
+2022,12.213620636121178
+2023,7.640712287291352
+"
+CN,fundamental,统计海螺水泥的存货周转率在2018-2020年间逐年同比下降的次数。（存货用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0,hard,operational efficiency,营业成本 / 平均存货,"year,营业成本,存货
+2017,48887730288.0,4705200427.0
+2018,81230031437.0,6022717523.0
+2019,104760090086.0,5571522957.0
+2020,125458088162.0,7001615145.0
+","year,存货周转率
+2018,15.143671272579038
+2019,18.071056964310955
+2020,19.95652750239711
+"
+CN,fundamental,计算中金黄金在2019至2023年间的应收账款周转率，做同比比较，其中同比上升有几次？（使用应收票据及应收账款，用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.0,hard,operational efficiency,营业收入 / 平均应收票据及应收账款,"year,营业收入,应收票据及应收账款
+2018,34452379533.63,350559317.23
+2019,42541410266.5,284320570.53
+2020,47995317805.91,434732312.98
+2021,56102498949.46,108803879.47
+2022,57151533876.45,60666041.55
+2023,61263636266.97,64631644.19
+","year,应收账款周转率
+2019,134.01404292895694
+2020,133.49593307136087
+2021,206.43519135893007
+2022,674.4740722420619
+2023,977.8893505518629
+"
+CN,fundamental,2020至2022年，TCL科技的应收账款周转率逐年同比，其中同比下降共多少次？（使用应收票据及应收账款，用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,operational efficiency,营业收入 / 平均应收票据及应收账款,"year,营业收入,应收票据及应收账款
+2019,74933086000.0,8569296000.0
+2020,76677238000.0,13153299000.0
+2021,163657700000.0,19014984000.0
+2022,166552786000.0,14564510000.0
+","year,应收账款周转率
+2020,7.059675697125504
+2021,10.175097004711132
+2022,9.919910407226505
+"
+CN,fundamental,洛阳钼业在2017到2021年间，逐年做应收账款周转率同比，同比下降的年份有多少个？（使用应收票据及应收账款，用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0,hard,operational efficiency,营业收入 / 平均应收票据及应收账款,"year,营业收入,应收票据及应收账款
+2016,6949571006.97,2412668825.02
+2017,24147557764.1,3895322636.19
+2018,25962862773.77,860999687.88
+2019,68676565008.79,1510508440.5
+2020,112981018624.55,702193713.91
+2021,173862586154.82,745903478.74
+","year,应收账款周转率
+2017,7.656179597766294
+2018,10.917200729808194
+2019,57.91805154444368
+2020,102.1204036877485
+2021,240.12557587609655
+"
+CN,fundamental,对中国石油2020-2022年的应收账款周转率做逐年同比，共发生同比下降几次？（使用应收票据及应收账款，用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0,hard,operational efficiency,营业收入 / 平均应收票据及应收账款,"year,营业收入,应收票据及应收账款
+2019,2516810000000.0,64184000000.0
+2020,1933836000000.0,52325000000.0
+2021,2614349000000.0,52746000000.0
+2022,3239167000000.0,72028000000.0
+","year,应收账款周转率
+2020,33.19633676368349
+2021,49.76347422219261
+2022,51.92054434417427
+"
+CN,fundamental,统计南山铝业的应收账款周转率在2018-2022年间逐年同比下降的次数。（使用应收票据及应收账款，用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0,hard,operational efficiency,营业收入 / 平均应收票据及应收账款,"year,营业收入,应收票据及应收账款
+2017,17067880799.46,3528961452.32
+2018,20222361955.88,4832825403.66
+2019,21509009121.49,2765972822.78
+2020,22298992578.49,3646812209.44
+2021,28725022944.47,3894507011.99
+2022,34951222450.58,4183487125.44
+","year,应收账款周转率
+2018,4.836851812700252
+2019,5.661160746879541
+2020,6.954542360753502
+2021,7.618036606338779
+2022,8.65344090524425
+"
+CN,fundamental,计算北新建材在2018至2020年间的应付账款周转率，做同比比较，其中同比上升有几次？（使用应付票据及应付账款，用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0,hard,operational efficiency,营业成本 / 平均应付票据及应付账款,"year,营业成本,应付票据及应付账款
+2017,7007907524.47,895971679.83
+2018,8127563851.9,812375377.83
+2019,9078691265.89,1597912156.07
+2020,11178004899.46,1595369613.47
+","year,应付账款周转率
+2018,9.515120262545118
+2019,7.533284836934035
+2020,7.000951188263112
+"
+CN,fundamental,2021至2025年，泰格医药的应付账款周转率逐年同比，其中同比上升共多少次？（使用应付票据及应付账款，用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,operational efficiency,营业成本 / 平均应付票据及应付账款,"year,营业成本,应付票据及应付账款
+2020,1678035500.78,101294999.43
+2021,2942882997.96,147866622.26
+2022,4277007584.01,157957611.49
+2023,4535510632.92,249307924.54
+2024,4361106945.65,257287412.33
+2025,4959606315.77,371118244.78
+","year,应付账款周转率
+2021,23.62228161784445
+2022,27.97036409813289
+2023,22.27299013381729
+2024,17.217319735294467
+2025,15.784728414377849
+"
+CN,fundamental,万华化学在2019到2023年间，逐年做应付账款周转率同比，同比上升的年份有多少个？（使用应付票据及应付账款，用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.0,hard,operational efficiency,营业成本 / 平均应付票据及应付账款,"year,营业成本,应付票据及应付账款
+2018,46967835737.85,8808950024.25
+2019,48997610501.85,16410804246.49
+2020,55916402051.23,17714227676.52
+2021,107316508644.35,20390007700.95
+2022,138132222629.6,24205245891.6
+2023,145926359223.32,45593737856.93
+","year,应付账款周转率
+2019,3.88565328399707
+2020,3.277148702886716
+2021,5.632786359901783
+2022,6.194929347937427
+2023,4.181331915921865
+"
+CN,fundamental,对三一重工2019-2021年的应付账款周转率做逐年同比，共发生同比上升几次？（使用应付票据及应付账款，用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0,hard,operational efficiency,营业成本 / 平均应付票据及应付账款,"year,营业成本,应付票据及应付账款
+2018,38727958000.0,17190710000.0
+2019,50931975000.0,20294621000.0
+2020,69719945000.0,32207330000.0
+2021,78679820000.0,28559964000.0
+","year,应付账款周转率
+2019,2.7174349881024127
+2020,2.655899206488536
+2021,2.5895449614722024
+"
+CN,fundamental,统计东方电气的应付账款周转率在2018-2020年间逐年同比上升的次数。（使用应付票据及应付账款，用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.0,hard,operational efficiency,营业成本 / 平均应付票据及应付账款,"year,营业成本,应付票据及应付账款
+2017,26387532586.33,18443495371.64
+2018,23568286522.07,15092950990.47
+2019,24938437889.53,15484760108.52
+2020,28863684916.87,18503061587.81
+","year,应付账款周转率
+2018,1.4055327310229158
+2019,1.6311513840127643
+2020,1.6984721865824484
+"
+CN,fundamental,计算赛力斯在2017至2019年间的总资产周转率，做同比比较，其中同比下降有几次？（总资产按期初期末平均值计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.0,hard,operational efficiency,营业收入 / 平均总资产,"year,营业收入,资产合计
+2016,16192433345.64,19835682405.21
+2017,21933763911.67,23713838220.9
+2018,20239783232.0,26876804602.85
+2019,18132005177.94,29935103136.71
+","year,总资产周转率
+2017,1.0073021974216483
+2018,0.8001393974183045
+2019,0.6383170676493262
+"
+CN,fundamental,2019至2021年，招商证券的总资产周转率逐年同比，其中同比上升共多少次？（总资产按期初期末平均值计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,operational efficiency,营业收入 / 平均总资产,"year,营业收入,资产合计
+2018,11321611555.03,304930704832.13
+2019,18708369944.73,381771888128.44
+2020,24277670240.59,499726677784.74
+2021,29428896087.24,597221126798.86
+","year,总资产周转率
+2019,0.05448754711722552
+2020,0.05508272203583175
+2021,0.053655964238719954
+"
+CN,fundamental,小商品城在2018到2020年间，逐年做总资产周转率同比，同比下降的年份有多少个？（总资产按期初期末平均值计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.0,hard,operational efficiency,营业收入 / 平均总资产,"year,营业收入,资产合计
+2017,10017096584.81,23861326924.56
+2018,3593748474.73,26877858287.71
+2019,4042767521.18,31323233994.44
+2020,3725686100.39,28750127146.86
+","year,总资产周转率
+2018,0.1416557423890576
+2019,0.13892411165004537
+2020,0.12403787734222907
+"
+CN,fundamental,对龙佰集团2017-2021年的总资产周转率做逐年同比，共发生同比上升几次？（总资产按期初期末平均值计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,operational efficiency,营业收入 / 平均��资产,"year,营业收入,资产合计
+2016,4135559614.7,18048563627.76
+2017,10257509524.84,20846353820.17
+2018,10440588458.46,20923673048.52
+2019,11358539703.02,25942781551.31
+2020,14108161179.83,34771428954.42
+2021,20565780950.46,45331176466.09
+","year,总资产周转率
+2017,0.5274472963503313
+2018,0.4999081514254931
+2019,0.48471939258068825
+2020,0.4647400027872724
+2021,0.5134859432473392
+"
+CN,fundamental,统计长江电力的总资产周转率在2018-2020年间逐年同比下降的次数。（总资产按期初期末平均值计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,operational efficiency,营业收入 / 平均总资产,"year,营业收入,资产合计
+2017,50145503769.62,299398220115.42
+2018,51213965746.52,295496988645.53
+2019,49874086874.95,296482881040.89
+2020,57783367039.83,330827096559.03
+","year,总资产周转率
+2018,0.17217810798371916
+2019,0.16849926637326026
+2020,0.18422588226926798
+"
+CN,fundamental,计算中国石化在2021至2023年间的固定资产周转率，做同比比较，其中同比上升有几次？（固定资产用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,operational efficiency,营业收入 / 平均固定资产合计,"year,营业收入,固定资产合计
+2020,2104724000000.0,593653000000.0
+2021,2740884000000.0,598932000000.0
+2022,3318168000000.0,630758000000.0
+2023,3212215000000.0,690957000000.0
+","year,固定资产周转率
+2021,4.596542804076858
+2022,5.396755279785962
+2023,4.8606772261796225
+"
+CN,fundamental,2017至2019年，山西汾酒的固定资产周转率逐年同比，其中同比上升共多少次？（固定资产用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.0,hard,operational efficiency,营业收入 / 平均固定资产合计,"year,营业收入,固定资产合计
+2016,4404948311.55,1709408904.57
+2017,6361456273.59,1652471155.71
+2018,9444337822.85,1674669347.24
+2019,11892584392.29,1642335361.18
+","year,固定资产周转率
+2017,3.7844635498746353
+2018,5.677149981779372
+2019,7.170676823039443
+"
+CN,fundamental,山金国际在2019到2023年间，逐年做固定资产周转率同比，同比上升的年份有多少个？（固定资产用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.0,hard,operational efficiency,营业收入 / 平均固定资产合计,"year,营业收入,固定资产合计
+2018,4826237156.92,2287972917.03
+2019,5148950653.26,2527186463.13
+2020,7905802338.95,2783312677.63
+2021,9040243854.29,2808584710.82
+2022,8381544037.91,2906294177.88
+2023,8105716063.78,2712874112.68
+","year,固定资产周转率
+2019,2.138641837890279
+2020,2.977423450940839
+2021,3.233336818004751
+2022,2.933235927180463
+2023,2.8850234214900845
+"
+CN,fundamental,对中国船舶2020-2024年的固定资产周转率做逐年同比，共发生同比下降几次？（固定资产用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,operational efficiency,营业收入 / 平均固定资产合计,"year,营业收入,固定资产合计
+2019,52657487622.2,22662847644.57
+2020,55243541320.18,22627086025.92
+2021,59740426346.26,23506109707.05
+2022,59485232361.36,19283830926.13
+2023,74838504400.63,20328585773.32
+2024,133350837306.78,54992546873.39
+","year,固定资产周转率
+2020,2.4395505509947597
+2021,2.589910601123404
+2022,2.780337223241399
+2023,3.7785376725913875
+2024,3.5408611798830862
+"
+CN,fundamental,统计比亚迪的固定资产周转率在2022-2024年间逐年同比下降的次数。（固定资产用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.0,hard,operational efficiency,营业收入 / 平均固定资产合计,"year,营业收入,固定资产合计
+2021,216142395000.0,61221365000.0
+2022,424060635000.0,131880369000.0
+2023,602315354000.0,230903820000.0
+2024,777102455000.0,262287302000.0
+","year,固定资产周转率
+2022,4.392095567614116
+2023,3.320516010690863
+2024,3.151323778289748
+"
+CN,fundamental,计算南山铝业在2020至2022年间的营运资本周转率，做同比比较，其中同比上升有几次？（净营运资本用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,operational efficiency,营业收入 / 平均净营运资本；净营运资本 = 流动资产合�� - 流动负债合计,"year,营业收入,流动资产合计,流动负债合计
+2019,21509009121.49,22723600665.98,10940991272.36
+2020,22298992578.49,23124671329.04,10668386909.56
+2021,28725022944.47,30697382810.74,15014334532.0
+2022,34951222450.58,33994181806.69,13877801350.97
+","year,营运资本周转率
+2020,1.8399348378215536
+2021,2.041627870321676
+2022,1.952613417930687
+"
+CN,fundamental,2017至2019年，浪潮信息的营运资本周转率逐年同比，其中同比上升共多少次？（净营运资本用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,operational efficiency,营业收入 / 平均净营运资本；净营运资本 = 流动资产合计 - 流动负债合计,"year,营业收入,流动资产合计,流动负债合计
+2016,12667745961.86,7275771894.54,4805792856.92
+2017,25488175696.93,15876466238.72,10168350159.91
+2018,46940820299.58,23449206466.56,15726170348.43
+2019,51653280173.6,26953800990.37,18403661778.7
+","year,营运资本周转率
+2017,6.2332793478333635
+2018,6.989842660002686
+2019,6.348273047732821
+"
+CN,fundamental,天齐锂业在2019到2023年间，逐年做营运资本周转率同比，同比上升的年份有多少个？（净营运资本用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.0,hard,operational efficiency,营业收入 / 平均净营运资本；净营运资本 = 流动资产合计 - 流动负债合计,"year,营业收入,流动资产合计,流动负债合计
+2018,6244419974.7,3868135810.38,4387246436.77
+2019,4840615283.61,6443032093.94,22336542086.14
+2020,3239452205.58,2854380360.55,26812544590.86
+2021,7663320941.87,6470437993.99,13760228502.0
+2022,40448883981.77,25989778758.23,7555105928.79
+2023,40503462071.46,19629040462.42,6659867085.43
+","year,营运资本周转率
+2019,-0.5898650064606019
+2020,-0.16257546357990715
+2021,-0.49048464170183365
+2022,7.258736847134337
+2023,2.5795223811258405
+"
+CN,fundamental,对三一重工2021-2025年的营运资本周转率做逐年同比，共发生同比下降几次？（净营运资本用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.0,hard,operational efficiency,营业收入 / 平均净营运资本；净营运资本 = 流动资产合计 - 流动负债合计,"year,营业收入,流动资产合计,流动负债合计
+2020,99342410000.0,91655968000.0,62067520000.0
+2021,106113346000.0,93718958000.0,61432364000.0
+2022,80034495000.0,105765114000.0,67711911000.0
+2023,73221725000.0,97634345000.0,54427014000.0
+2024,77773391000.0,101505320000.0,63669229000.0
+2025,89231023000.0,124297751000.0,71856386000.0
+","year,营运资本周转率
+2021,3.429924007162694
+2022,2.275653283446354
+2023,1.802147276068848
+2024,1.9193017540646298
+2025,1.9768174016777789
+"
+CN,fundamental,统计立讯精密的营运资本周转率在2022-2024年间逐年同比上升的次数。（净营运资本用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0,hard,operational efficiency,营业收入 / 平均净营运资本；净营运资本 = 流动资产合计 - 流动负债合计,"year,营业收入,流动资产合计,流动负债合计
+2021,153946097790.4,72309043621.73,64830699026.84
+2022,214028394291.44,88291833209.09,74631211902.99
+2023,231905459829.83,94228128612.81,74835111662.18
+2024,268794737612.58,138545245245.72,113874522573.14
+","year,营运资本周转率
+2022,20.24965604220181
+2023,14.032068604890242
+2024,12.200268969953509
+"
+CN,fundamental,计算赣锋锂业在2017至2021年间的流动比率，做同比比较，其中同比下降有几次？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.0,hard,solvency,流动资产合计 / 流动负债合计,"year,流动资产合计,流动负债合计
+2017,4567681325.9,2814328789.84
+2018,7914767993.58,3832210461.36
+2019,5717029763.94,3258856515.44
+2020,8774832010.87,4077784284.07
+2021,14626739586.24,8209110145.24
+","year,流动比率
+2017,1.623009131836256
+2018,2.0653270673373076
+2019,1.754305455565019
+2020,2.1518627273024653
+2021,1.7817691963508642
+"
+CN,fundamental,2016至2018年，中联重科的流动比率逐年同比，其中同比上升共多少次？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0,hard,solvency,流动资产合计 / 流动负债合计,"year,流动资产合计,流动负债合计
+2016,68919770139.63,26899210169.32
+2017,62041561420.02,24470074837.41
+2018,70368912825.62,39628374058.49
+","year,流��比率
+2016,2.562148468516623
+2017,2.535405462886876
+2018,1.7757204149167995
+"
+CN,fundamental,华域汽车在2020到2022年间，逐年做流动比率同比，同比上升的年份有多少个？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,solvency,流动资产合计 / 流动负债合计,"year,流动资产合计,流动负债合计
+2020,93927743484.68,84712579144.04
+2021,94995006723.32,88332154183.04
+2022,104132253834.33,95719024189.59
+","year,流动比率
+2020,1.1087815343807572
+2021,1.0754295262229583
+2022,1.0878950628255046
+"
+CN,fundamental,对福斯特2021-2025年的流动比率做逐年同比，共发生同比上升几次？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.0,hard,solvency,流动资产合计 / 流动负债合计,"year,流动资产合计,流动负债合计
+2021,10756372539.43,1460149971.29
+2022,16452711923.36,3601745916.54
+2023,17336533689.76,3277907255.68
+2024,15925575984.71,1456059717.61
+2025,15182212310.01,1054241461.62
+","year,流动比率
+2021,7.36662175182393
+2022,4.5679823909303465
+2023,5.288903052311511
+2024,10.937446996233437
+2025,14.401076852621841
+"
+CN,fundamental,统计白云山的流动比率在2020-2022年间逐年同比上升的次数。按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,solvency,流动资产合计 / 流动负债合计,"year,流动资产合计,流动负债合计
+2020,47396618021.59,29243231777.82
+2021,52810574461.45,32253851203.72
+2022,57064311513.29,37395116011.27
+","year,流动比率
+2020,1.620772231389922
+2021,1.637341665895671
+2022,1.5259830052697838
+"
+CN,fundamental,计算藏格矿业在2017至2021年间的速动比率，做同比比较，其中同比下降有几次？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.0,hard,solvency,(流动资产合计 - 存货) / 流动负债合计,"year,流动资产合计,流动负债合计,存货
+2017,3626031552.99,1157510921.89,398857372.91
+2018,4279290986.62,1409754835.0,406381592.29
+2019,2702119122.48,1705890190.0,511318678.66
+2020,2294108622.52,734453934.04,599402906.26
+2021,2646901994.74,1115082225.92,466134523.65
+","year,速动比率
+2017,2.7880291399848085
+2018,2.7472219269459006
+2019,1.284256429084688
+2020,2.307436365597441
+2021,1.9557010419485026
+"
+CN,fundamental,2017至2019年，爱尔眼科的速动比率逐年同比，其中同比下降共多少次？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.0,hard,solvency,(流动资产合计 - 存货) / 流动负债合计,"year,流动资产合计,流动负债合计,存货
+2017,3680987254.0,2120125994.48,273817429.86
+2018,3226173697.65,2041502671.96,359048818.67
+2019,4027075374.51,2878639411.47,374213207.11
+","year,速动比率
+2017,1.6070600676615312
+2018,1.404418871628191
+2019,1.2689544070178063
+"
+CN,fundamental,中国建筑在2022到2024年间，逐年做速动比率同比，同比下降的年份有多少个？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0,hard,solvency,(流动资产合计 - 存货) / 流动负债合计,"year,流动资产合计,流动负债合计,存货
+2022,1874788055000.0,1429302558000.0,771548600000.0
+2023,2048962745000.0,1590432869000.0,796342895000.0
+2024,2279004443000.0,1761530141000.0,772168289000.0
+","year,速动比率
+2022,0.7718725813684579
+2023,0.7875968073947043
+2024,0.8554132108943573
+"
+CN,fundamental,对贵州茅台2016-2020年的速动比率做逐年同比，共发生同比下降几次？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0,hard,solvency,(流动资产合计 - 存货) / 流动负债合计,"year,流动资产合计,流动负债合计,存货
+2016,90180548805.57,37020425425.69,20622251825.55
+2017,112249185961.6,38574919400.0,22057481376.46
+2018,137861835307.57,42438186813.48,23506950842.22
+2019,159024472009.08,41093299212.84,25284920806.33
+2020,185652154956.94,45673669912.95,28869087678.06
+","year,速动比率
+2016,1.8789167379948755
+2017,2.338091847967413
+2018,2.6946222977892753
+2019,3.2545342857494823
+2020,3.4326794316658757
+"
+CN,fundamental,统计片仔癀的速动比率在2019-2023年间逐年同比上升的次数。按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,4.0,hard,solvency,(流动资产合计 - 存货) / 流动负债合计,"year,流动资产合计,流动负债合计,���货
+2019,7352299916.69,1746997013.64,2096988370.49
+2020,8296042219.05,1800343240.35,2190938900.93
+2021,10633421321.56,2137080711.38,2437503379.48
+2022,12704827396.23,2510181610.4,2627815630.35
+2023,15100020959.96,2883108858.36,3378660864.48
+","year,速动比率
+2019,3.008197212226575
+2020,3.3910774241766943
+2021,3.835099862366715
+2022,4.014455258587532
+2023,4.065528105708594
+"
+CN,fundamental,计算晶盛机电在2018至2022年间的资产负债率，做同比比较，其中同比下降有几次？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0,hard,solvency,负债合计 / 资产合计 * 100%,"year,负债合计,资产合计
+2018,2104264499.58,6335042662.59
+2019,3146134323.99,7862537774.64
+2020,5246827753.78,10498166375.24
+2021,9767291721.19,16883752272.36
+2022,17673834675.06,28889275694.78
+","year,资产负债率
+2018,33.21626406726831
+2019,40.01423476956269
+2020,49.97851592593046
+2021,57.85024302435311
+2022,61.17783935390767
+"
+CN,fundamental,2021至2023年，国投资本的资产负债率逐年同比，其中同比下降共多少次？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0,hard,solvency,负债合计 / 资产合计 * 100%,"year,负债合计,资产合计
+2021,191888551502.33,246431771218.34
+2022,209981306434.41,266593422668.52
+2023,221305474823.82,280114026649.86
+","year,资产负债率
+2021,77.86680692738909
+2022,78.76462379775175
+2023,79.00549553716203
+"
+CN,fundamental,中国船舶在2022到2024年间，逐年做资产负债率同比，同比下降的年份有多少个？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,solvency,负债合计 / 资产合计 * 100%,"year,负债合计,资产合计
+2022,112334385215.2,162622107836.71
+2023,125359639601.21,177832168643.44
+2024,264104400109.53,403639151728.16
+","year,资产负债率
+2022,69.07694575450698
+2023,70.493229969298
+2024,65.43081833830558
+"
+CN,fundamental,对京东方A2016-2020年的资产负债率做逐年同比，共发生同比上升几次？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.0,hard,solvency,负债合计 / 资产合计 * 100%,"year,负债合计,资产合计
+2016,113118955882.0,205135011042.0
+2017,151824479016.0,256108741849.0
+2018,183671193824.0,304028491385.0
+2019,199354506334.0,340412203308.0
+2020,250859071617.0,424256806331.0
+","year,资产负债率
+2016,55.14366139032194
+2017,59.281256047680984
+2018,60.41249390387294
+2019,58.562679127465636
+2020,59.129062368249386
+"
+CN,fundamental,统计中国电信的资产负债率在2019-2023年间逐年同比下降的次数。（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.0,hard,solvency,负债合计 / 资产合计 * 100%,"year,负债合计,资产合计
+2019,348091000000.0,703138000000.0
+2020,348920833314.45,715103425413.54
+2021,331065488795.65,762246299381.58
+2022,371270622952.66,807698157613.04
+2023,388647092045.48,835813904890.77
+","year,资产负债率
+2019,49.50536025645037
+2020,48.793058586269694
+2021,43.43287583872137
+2022,45.96650610790819
+2023,46.499237422506276
+"
+CN,fundamental,计算中国船舶在2020至2022年间的产权比率，做同比比较，其中同比下降有几次？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0,hard,solvency,负债合计 / 股东权益合计,"year,负债合计,股东权益合计
+2020,99683674570.31,52825853977.41
+2021,107298071386.48,53104173621.98
+2022,112334385215.2,50287722621.51
+","year,产权比率
+2020,1.887024384176314
+2021,2.0205204990153343
+2022,2.233833217317943
+"
+CN,fundamental,2023至2025年，通威股份的产权比率逐年同比，其中同比上升共多少次？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.0,hard,solvency,负债合计 / 股东权益合计,"year,负债合计,股东权益合计
+2023,90533776973.25,73829384486.41
+2024,137997611563.26,57919151498.73
+2025,136391138210.41,51388118187.22
+","year,产权比率
+2023,1.2262566944454862
+2024,2.382590352109801
+2025,2.6541376298992376
+"
+CN,fundamental,中国石化在2022到2024年间，逐年做产权比率同比，同比下降的年份有多少个？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0,hard,solvency,负债合计 / 股东权益合计,"year,负债合计,股东权益合计
+2022,1010664000000.0,940457000000.0
+2023,1068019000000.0,958655000000.0
+2024,1108478000000.0,976293000000.0
+","year,产权比率
+2022,1.0746520042915306
+2023,1.1140806650984973
+2024,1.135394804633445
+"
+CN,fundamental,对三峡能源2020-2022年的产权比率做逐年同比，共发生同比下降几次？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,solvency,负债合计 / 股东权益合计,"year,负债合计,股东权益合计
+2020,96140887684.68,46435468052.0
+2021,140783088446.32,78120301518.01
+2022,174225016798.43,88109331638.5
+","year,产权比率
+2020,2.0704192660881158
+2021,1.802131913352429
+2022,1.9773730382299386
+"
+CN,fundamental,统计龙佰集团的产权比率在2019-2021年间逐年同比下降的次数。按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,solvency,负债合计 / 股东权益合计,"year,负债合计,股东权益合计
+2019,11870841195.91,14071940355.4
+2020,18933840465.92,15837588488.5
+2021,24542202473.04,20788973993.05
+","year,产权比率
+2019,0.8435823984540025
+2020,1.195500216441932
+2021,1.1805393802139899
+"
+CN,fundamental,计算福莱特在2023至2025年间的净债务权益比，做同比比较，其中同比下降有几次？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0,hard,solvency,净债务权益比 = 净债务 / 股东权益合计；净债务 = 有息负债（短期借款 + 一年内到期非流动负债 + 长期借款 + 应付债券 + 租赁负债 + 应付利息 + 应付短期债券 + 交易性金融负债 + 卖出回购金融资产款）- 现金类资产（货币资金 + 交易性金融资产）,"year,短期借款,一年内到期的非流动负债,长期借款,应付债券,租赁负债,应付利息,应付短期债券,交易性金融负债,卖出回购金融资产款,货币资金,交易性金融资产,股东权益合计
+2023,1913771731.03,1253366988.69,6655130751.81,3755915215.98,538240698.05,30801288.06,0.0,0.0,0.0,6616387667.8,230000000.0,22290910451.16
+2024,1016886467.84,2294095101.37,7092181287.22,3916928685.43,764315904.02,36197048.99,0.0,0.0,0.0,5294894127.46,520018576.54,21784160876.03
+2025,832480837.67,2393385639.52,6442996957.67,4065908075.91,766355039.78,45223547.09,0.0,0.0,0.0,4014459672.62,480018805.88,22611524253.6
+","year,净债务权益比
+2023,0.3275253840266569
+2024,0.4271769678817159
+2025,0.4445463961828949
+"
+CN,fundamental,2020至2024年，中国铁建的净债务权益比逐年同比，其中同比上升共多少次？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.0,hard,solvency,净债务权益比 = 净债务 / 股东权益合计；净债务 = 有息负债（短期借款 + 一年内到期非流动负债 + 长期借款 + 应付债券 + 租赁负债 + 应付利息 + 应付短期债券 + 交易性金融负债 + 卖出回购金融资产款）- 现金类资产（货币资金 + 交易性金融资产）,"year,短期借款,一年内到期的非流动负债,长期借款,应付债券,租赁负债,应付利息,应付短期债券,交易性金融负债,卖出回购金融资产款,货币资金,交易性金融资产,股东权益合计
+2020,49879073000.0,28573343000.0,111018145000.0,26111854000.0,2677405000.0,0.0,0.0,0.0,0.0,187997046000.0,587022000.0,313639090000.0
+2021,46057400000.0,38703490000.0,115044574000.0,29534875000.0,2889378000.0,0.0,0.0,0.0,0.0,126821154000.0,460063000.0,346492996000.0
+2022,51367562000.0,45527795000.0,133415428000.0,28096696000.0,2451292000.0,0.0,0.0,0.0,0.0,158424810000.0,961298000.0,385920052000.0
+2023,81839758000.0,54468518000.0,165621478000.0,31031549000.0,4080407000.0,0.0,0.0,0.0,0.0,166957837000.0,1629785000.0,417119773000.0
+2024,150142693000.0,76507103000.0,235062620000.0,32720483000.0,4197035000.0,0.0,0.0,0.0,0.0,185703115000.0,1533116000.0,422596822000.0
+","year,净债务权益比
+2020,0.09461751722337927
+2021,0.30288779632359436
+2022,0.26293701110923356
+2023,0.40385064171963864
+2024,0.7368576543625782
+"
+CN,fundamental,兖矿能源在2021到2025年间，逐年做净债务权益比同比，同比上升的年份有多少个？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.0,hard,solvency,净债务权益比 = 净债务 / 股东权益合计；净债务 = 有息负债（短期借款 + 一年内到期非流动负债 + 长期借款 + 应付债券 + 租赁负债 + 应付利息 + 应付短期债券 + 交易性金融负债 + 卖出回购金融资产款）- 现金类资产（货币资金 + 交易性金融资产）,"year,短期借款,一年内到期的非流动负债,长���借款,应付债券,租赁负债,应付利息,应付短期债券,交易性金融负债,卖出回购金融资产款,货币资金,交易性金融资产,股东权益合计
+2021,5716032000.0,16736034000.0,50942032000.0,24107000000.0,915911000.0,883232000.0,0.0,59132000.0,0.0,45572466000.0,256311000.0,96487092000.0
+2022,6486249000.0,16868514000.0,42829094000.0,20792407000.0,435586000.0,0.0,0.0,634537000.0,0.0,66593273000.0,95713000.0,143910753000.0
+2023,4084299000.0,20805714000.0,61355220000.0,12172858000.0,327018000.0,0.0,0.0,550761000.0,0.0,37691295000.0,107472000.0,118482610000.0
+2024,8892716000.0,33592373000.0,63659263000.0,15973544000.0,344824000.0,0.0,0.0,538427000.0,0.0,41078591000.0,166772000.0,149620852000.0
+2025,20958181000.0,32074029000.0,57099723000.0,22964152000.0,425643000.0,0.0,0.0,360192000.0,0.0,37428025000.0,256537000.0,171096833000.0
+","year,净债务权益比
+2021,0.5547954124267731
+2022,0.14840726321541797
+2023,0.5190390640449261
+2024,0.546419719625711
+2025,0.5622392671639924
+"
+CN,fundamental,对招商公路2017-2019年的净债务权益比做逐年同比，共发生同比下降几次？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,solvency,净债务权益比 = 净债务 / 股东权益合计；净债务 = 有息负债（短期借款 + 一年内到期非流动负债 + 长期借款 + 应付债券 + 租赁负债 + 应付利息 + 应付短期债券 + 交易性金融负债 + 卖出回购金融资产款）- 现金类资产（货币资金 + 交易性金融资产）,"year,短期借款,一年内到期的非流动负债,长期借款,应付债券,租赁负债,应付利息,应付短期债券,交易性金融负债,卖出回购金融资产款,货币资金,交易性金融资产,股东权益合计
+2017,3025000000.0,437644184.0,3614690000.0,3099384738.2,0.0,67093980.53,0.0,54610000.0,0.0,7006855997.95,0.0,46361122358.59
+2018,618038150.78,1154301974.37,17272534174.74,6099584461.52,0.0,0.0,0.0,54610000.0,0.0,7079807580.47,0.0,49799160637.25
+2019,2510007702.5,1017831337.77,11495055782.12,10287297448.77,0.0,0.0,0.0,54610000.0,0.0,6653079417.39,0.0,53998796992.46
+","year,净债务权益比
+2017,0.0709984300923665
+2018,0.36384671848036554
+2019,0.3465211059495043
+"
+CN,fundamental,统计传音控股的净债务权益比在2022-2024年间逐年同比下降的次数。按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,solvency,净债务权益比 = 净债务 / 股东权益合计；净债务 = 有息负债（短期借款 + 一年内到期非流动负债 + 长期借款 + 应付债券 + 租赁负债 + 应付利息 + 应付短期债券 + 交易性金融负债 + 卖出回购金融资产款）- 现金类资产（货币资金 + 交易性金融资产）,"year,短期借款,一年内到期的非流动负债,长期借款,应付债券,租赁负债,应付利息,应付短期债券,交易性金融负债,卖出回购金融资产款,货币资金,交易性金融资产,股东权益合计
+2022,1234715636.6,69546631.02,250161006.48,0.0,150194951.74,0.0,0.0,1553063.33,0.0,9214926680.63,7622244780.85,15865056723.16
+2023,1511573784.18,324233708.62,247118613.33,0.0,171002003.2,0.0,0.0,3657196.38,0.0,12598682897.3,13518866853.03,18176863753.92
+2024,2194156918.75,326193974.14,247163402.83,0.0,86624628.84,0.0,0.0,0.0,0.0,12216169099.91,12599123131.76,20345536127.91
+","year,净债务权益比
+2022,-0.9537312369152506
+2023,-1.3126557346546868
+2024,-1.0794089263139985
+"
+CN,fundamental,计算华能水电在2023至2025年间的利息保障倍数，做同比比较，其中同比下降有几次？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0,hard,solvency,利息保障倍数 = EBIT / 利息支出 = (利润总额 + 利息支出) / 利息支出,"year,利润总额,财务费用——利息费用
+2023,9419940254.92,2779943408.01
+2024,10364843135.1,2703868241.66
+2025,10767871496.69,2694201322.86
+","year,利息保障倍数
+2023,4.38853669746579
+2024,4.833338834860037
+2025,4.9966840656360025
+"
+CN,fundamental,2019至2021年，中油资本的利息保障倍数逐年同比，其中同比下降共多少次？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.0,hard,solvency,利息保障倍数 = EBIT / 利息支出 = (利润总额 + 利息支出) / 利息支出,"year,利润总额,财务费用——利息费用
+2019,18590050993.45,164956030.05
+2020,18415555996.22,290749862.18
+2021,13484157903.19,213427438.68
+","year,利息保障倍数
+2019,113.69700772875747
+2020,64.33814179013827
+2021,64.17912067251727
+"
+CN,fundamental,天合光能在2016到2018年间，逐年做利息保障倍数同比，同比上升的年份有多少个？按中国会计准则，写出指标公式，搜集原始数��，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,solvency,利息保障倍数 = EBIT / 利息支出 = (利润总额 + 利息支出) / 利息支出,"year,利润总额,财务费用——利息费用
+2016,683910733.25,567855094.16
+2017,763275208.37,832854799.81
+2018,713895452.32,584940610.19
+","year,利息保障倍数
+2016,2.2043754476864827
+2017,1.9164565162428393
+2018,2.2204580086995724
+"
+CN,fundamental,对天赐材料2021-2023年的利息保障倍数做逐年同比，共发生同比下降几次？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,solvency,利息保障倍数 = EBIT / 利息支出 = (利润总额 + 利息支出) / 利息支出,"year,利润总额,财务费用——利息费用
+2021,2701542492.74,40097767.68
+2022,6871500042.88,75728322.41
+2023,2324336491.57,194435865.87
+","year,利息保障倍数
+2021,68.37388760141572
+2022,91.73883884126043
+2023,12.954257930602441
+"
+CN,fundamental,统计工业富联的利息保障倍数在2021-2025年间逐年同比上升的次数。按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.0,hard,solvency,利息保障倍数 = EBIT / 利息支出 = (利润总额 + 利息支出) / 利息支出,"year,利润总额,财务费用——利息费用
+2021,22317746000.0,492427000.0
+2022,21963002000.0,1481891000.0
+2023,23124078000.0,2481551000.0
+2024,25973636000.0,2327462000.0
+2025,41042184000.0,3336343000.0
+","year,利息保障倍数
+2021,46.32193807406986
+2022,15.820929474569992
+2023,10.318397244304066
+2024,12.159639126224187
+2025,13.301548132191444
+"
+CN,fundamental,计算中国平安在2019至2023年间的净债务/EBITDA，做同比比较，其中同比下降有几次？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,4.0,hard,solvency,净债务 / EBITDA；净债务 = 有息负债（短期借款 + 一年内到期非流动负债 + 长期借款 + 应付债券 + 租赁负债 + 应付利息 + 应付短期债券 + 交易性金融负债 + 卖出回购金融资产款）- 现金类资产（货币资金 + 交易性金融资产）；EBITDA = 利润总额 + 利息支出 + 折旧与摊销,"year,短期借款,一年内到期的非流动负债,长期借款,应付债券,租赁负债,应付利息,应付短期债券,交易性金融负债,卖出回购金融资产款,货币资金,交易性金融资产,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+2019,112285000000.0,0.0,217087000000.0,699631000000.0,15986000000.0,0.0,0.0,39458000000.0,176523000000.0,449909000000.0,961073000000.0,184739000000.0,0.0,13947000000.0,2734000000.0,1730000000.0
+2020,134753000000.0,0.0,205824000000.0,901285000000.0,15620000000.0,0.0,0.0,37217000000.0,276602000000.0,526301000000.0,1231331000000.0,187764000000.0,0.0,13813000000.0,2701000000.0,1797000000.0
+2021,116102000000.0,0.0,171682000000.0,1097523000000.0,14208000000.0,0.0,0.0,57376000000.0,127477000000.0,535067000000.0,1426677000000.0,139580000000.0,0.0,13710000000.0,2803000000.0,1908000000.0
+2022,121945000000.0,0.0,151539000000.0,931098000000.0,13013000000.0,0.0,0.0,84659000000.0,271737000000.0,613737000000.0,1640519000000.0,142335000000.0,0.0,15658000000.0,2694000000.0,2001000000.0
+2023,93322000000.0,0.0,135161000000.0,964007000000.0,10234000000.0,0.0,0.0,48619000000.0,241803000000.0,577212000000.0,1803047000000.0,120117000000.0,0.0,16387000000.0,2843000000.0,2023000000.0
+","year,净债务/EBITDA
+2019,-0.7384297317253261
+2020,-0.904190222006551
+2021,-2.388440579490003
+2022,-4.181408585759245
+2023,-6.275114946594044
+"
+CN,fundamental,2019至2023年，中兴通讯的净债务/EBITDA逐年同比，其中同比上升共多少次？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,solvency,净债务 / EBITDA；净债务 = 有息负债（短期借款 + 一年内到期非流动负债 + 长期借款 + 应付债券 + 租赁负债 + 应付利息 + 应付短期债券 + 交易性金融负债 + 卖出回购金融资产款）- 现金类资产（货币资金 + 交易性金融资产）；EBITDA = 利润总额 + 利息支出 + 折旧与摊销,"year,短期借款,一年内到期的非流动负债,长期借款,应付债券,租赁负债,应付利息,应付短期债券,交易性金融负债,卖出回购金融资产款,货币资金,交易性金融资产,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+2019,26645966000.0,612261000.0,10045093000.0,0.0,645294000.0,54296000.0,0.0,0.0,0.0,33309347000.0,560662000.0,7161670000.0,1718187000.0,1792285000.0,1794549000.0,0.0
+2020,10559160000.0,2104677000.0,22614304000.0,0.0,718186000.0,28561000.0,0.0,0.0,0.0,35659832000.0,1036906000.0,5064166000.0,1495660000.0,1871024000.0,2100273000.0,0.0
+2021,8946935000.0,977336000.0,29908441000.0,0.0,531983000.0,55379000.0,0.0,0.0,0.0,50713310000.0,1360697000.0,8498926000.0,1481221000.0,2076044000.0,2511827000.0,0.0
+2022,9962315000.0,661744000.0,35125988000.0,0.0,788649000.0,0.0,0.0,0.0,0.0,56346367000.0,513784000.0,8751656000.0,1945963000.0,2000353000.0,2385853000.0,0.0
+2023,7560358000.0,3001598000.0,42576057000.0,0.0,960459000.0,0.0,5012890000.0,0.0,0.0,78543219000.0,153285000.0,10203140000.0,3141567000.0,2379948000.0,2545911000.0,0.0
+","year,净债务/EBITDA
+2019,0.33151547591899083
+2020,-0.06379661504285915
+2021,-0.7999669550106268
+2022,-0.6842730540827675
+2023,-1.0719504803518403
+"
+CN,fundamental,青岛港在2017到2021年间，逐年做净债务/EBITDA同比，同比上升的年份有多少个？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.0,hard,solvency,净债务 / EBITDA；净债务 = 有息负债（短期借款 + 一年内到期非流动负债 + 长期借款 + 应付债券 + 租赁负债 + 应付利息 + 应付短期债券 + 交易性金融负债 + 卖出回购金融资产款）- 现金类资产（货币资金 + 交易性金融资产）；EBITDA = 利润总额 + 利息支出 + 折旧与摊销,"year,短期借款,一年内到期的非流动负债,长期借款,应付债券,租赁负债,应付利息,应付短期债券,交易性金融负债,卖出回购金融资产款,货币资金,交易性金融资产,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+2017,56685445.0,38185563.0,188172988.0,3500000000.0,0.0,99576003.0,0.0,0.0,0.0,11705176363.0,0.0,3990789820.0,216482217.0,593149770.0,26835157.0,24469901.0
+2018,166712204.0,3595928706.0,160792988.0,0.0,0.0,81730280.0,0.0,0.0,0.0,8077972498.0,875000000.0,4756490365.0,203665028.0,690025822.0,51431594.0,11439139.0
+2019,128596572.0,235633528.0,132882988.0,2116900000.0,378301316.0,15823682.0,0.0,0.0,0.0,6846399847.0,952673153.0,5126805417.0,222507080.0,776873737.0,59761980.0,8451397.0
+2020,135133306.0,2288917202.0,109708639.0,0.0,139109235.0,27099914.0,0.0,0.0,0.0,8548976734.0,1121813078.0,5525196945.0,207835967.0,845481719.0,76294934.0,11324370.0
+2021,1498398064.0,189026667.0,0.0,0.0,184438326.0,0.0,0.0,0.0,0.0,9130883770.0,837190078.0,5835398757.0,174929949.0,1046398728.0,101041461.0,19403901.0
+","year,净债务/EBITDA
+2017,-1.612324143890157
+2018,-0.8660534448198229
+2019,-0.773430068265578
+2020,-1.0457067895681278
+2021,-1.1280501419043722
+"
+CN,fundamental,对阿特斯2018-2020年的净债务/EBITDA做逐年同比，共发生同比下降几次？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.0,hard,solvency,净债务 / EBITDA；净债务 = 有息负债（短期借款 + 一年内到期非流动负债 + 长期借款 + 应付债券 + 租赁负债 + 应付利息 + 应付短期债券 + 交易性金融负债 + 卖出回购金融资产款）- 现金类资产（货币资金 + 交易性金融资产）；EBITDA = 利润总额 + 利息支出 + 折旧与摊销,"year,短期借款,一年内到期的非流动负债,长期借款,应付债券,租赁负债,应付利息,应付短期债券,交易性金融负债,卖出回购金融资产款,货币资金,交易性金融资产,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+2018,5904222631.56,3164517682.17,2631811937.11,0.0,0.0,0.0,0.0,0.0,0.0,6082800731.5,0.0,2356470006.38,692805233.86,739016171.22,27598695.79,55876591.6
+2019,5644717088.48,1749148257.05,1684560797.25,0.0,0.0,0.0,0.0,0.0,0.0,7539893250.19,10251344.14,2108322147.72,529754720.07,1080689738.45,28796451.92,17828301.49
+2020,3984169286.75,403074420.31,1033737604.74,0.0,0.0,0.0,0.0,0.0,0.0,8826627663.72,98240603.06,1497428350.58,358234829.92,1466863007.22,35673336.72,10177651.03
+","year,净债务/EBITDA
+2018,1.4509530031880786
+2019,0.4058758844637217
+2020,-1.0402299898291796
+"
+CN,fundamental,统计宝钢股份的净债务/EBITDA在2016-2018年间逐年同比上升的次数。按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0,hard,solvency,净债务 / EBITDA；净债务 = 有息负债（短期借款 + 一年内到期非流动负债 + 长期借款 + 应付债券 + 租赁负债 + 应付利息 + 应付短期债券 + 交易性金融负债 + 卖出回购金融资产款）- 现金类资产（货币资金 + 交易性金融资产）；EBITDA = 利润总额 + 利息支出 + 折旧与摊销,"year,短期借款,一年内到期的非流动负债,长期借款,应付债券,租赁负债,应付利息,应付短期债券,交易性金融负债,卖出回购金融资产款,货币资金,交易性金融资产,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+2016,52080729189.64,1986830219.31,958693159.16,21052403274.32,0.0,559358021.09,0.0,35161856.12,152321609.86,14024805944.83,1122863784.67,11888934371.01,0.0,16895855516.83,453563306.76,97193330.93
+2017,60282446151.02,20407281386.07,413368004.28,8553245927.39,0.0,582058272.27,0.0,371853492.51,130556138.69,17857363941.27,1726166623.63,24035130135.61,3634233937.77,17721873280.8,502062920.59,129190525.0
+2018,38454057065.49,5162332379.53,5610231171.28,3000000000.0,0.0,359359786.14,0.0,629641.69,142071814.59,17110002574.2,2031259909.48,27584734792.83,3074585800.61,18554328792.94,462960507.32,167488397.94
+","year,净债务/EBITDA
+2016,2.1024945809795397
+2017,1.5461414097927444
+2018,0.67384947318173
+"
+CN,fundamental,计算云铝股份在2020至2024年间的营业收入增长率，做同比比较，其中同比下降有几次？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.0,hard,growth,(本期营业收入 - 上期营业收入) / 上期营业收入 * 100%,"year,营业收入
+2019,24283623386.87
+2020,29573100815.61
+2021,41751099098.35
+2022,48463024922.95
+2023,42668767604.2
+2024,54450459133.32
+","year,营业收入增长率
+2020,21.78207652322589
+2021,41.179308043043996
+2022,16.07604582765404
+2023,-11.956037263381985
+2024,27.611979887509808
+"
+CN,fundamental,2022至2024年，浙商证券的营业收入增长率逐年同比，其中同比上升共多少次？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,growth,(本期营业收入 - 上期营业收入) / 上期营业收入 * 100%,"year,营业收入
+2021,16418113012.51
+2022,16814110329.13
+2023,17638225323.48
+2024,6502821473.87
+","year,营业收入增长率
+2022,2.411953897005481
+2023,4.901329765406874
+2024,-63.132223596137834
+"
+CN,fundamental,东方电气在2020到2024年间，逐年做营业收入增长率同比，同比下降的年份有多少个？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.0,hard,growth,(本期营业收入 - 上期营业收入) / 上期营业收入 * 100%,"year,营业收入
+2019,31777585757.68
+2020,36238925547.37
+2021,46755975362.02
+2022,54189702709.81
+2023,59566526583.78
+2024,68592735741.35
+","year,营业收入增长率
+2020,14.039265989902292
+2021,29.021417317968073
+2022,15.898988931858401
+2023,9.92222434354974
+2024,15.15315677316636
+"
+CN,fundamental,对伊利股份2019-2021年的营业收入增长率做逐年同比，共发生同比下降几次？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,growth,(本期营业收入 - 上期营业收入) / 上期营业收入 * 100%,"year,营业收入
+2018,78976388687.29
+2019,90009132852.26
+2020,96523963249.92
+2021,110143986386.03
+","year,营业收入增长率
+2019,13.969674162558343
+2020,7.237965961024615
+2021,14.110509636705462
+"
+CN,fundamental,统计中国人保的营业收入增长率在2020-2024年间逐年同比上升的次数。（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.0,hard,growth,(本期营业收入 - 上期营业收入) / 上期营业收入 * 100%,"year,营业收入
+2019,555515000000.0
+2020,583696000000.0
+2021,597691000000.0
+2022,529633000000.0
+2023,553097000000.0
+2024,621972000000.0
+","year,营业收入增长率
+2020,5.0729503253737525
+2021,2.3976522025163782
+2022,-11.386820280044372
+2023,4.430237541845013
+2024,12.45260777042725
+"
+CN,fundamental,计算宁波银行在2019至2021年间的EBITDA增长率，做同比比较，其中同比下降有几次？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,growth,EBITDA增长率 = (本期EBITDA - 上期EBITDA) / 上期EBITDA * 100%；EBITDA = 利润总额 + 利息支出 + 折旧与摊销,"year,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+2018,11497551000.0,0.0,445714000.0,103915000.0,488825000.0
+2019,15219000000.0,0.0,500000000.0,102000000.0,529000000.0
+2020,16455000000.0,0.0,640000000.0,138000000.0,632000000.0
+2021,20445000000.0,0.0,1409000000.0,246000000.0,384000000.0
+","year,EBITDA增长率
+2019,30.424325772046195
+2020,9.26605504587156
+2021,25.855023789532606
+"
+CN,fundamental,2022至2024年，天齐锂业的EBITDA增长率逐年同比，其中同比下降共多少次？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.0,hard,growth,EBITDA增长率 = (本期EBITDA - 上期EBITDA) / 上期EBITDA * 100%；EBITDA = 利润总额 + 利息支出 + 折旧与摊销,"year,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+2021,3963665158.72,1468377525.02,351335294.24,109003673.47,3454930.32
+2022,39901190701.58,1082720808.1,504349073.35,149373750.78,1367028.52
+2023,36281302145.82,550102162.98,710305215.15,135067593.94,2320953.75
+2024,1291940696.48,600533559.13,988967085.71,145815887.41,3044303.37
+","year,EBITDA增长率
+2022,606.244156954389
+2023,-9.510082281349899
+2024,-91.95760597470134
+"
+CN,fundamental,正泰电器在2021到2023年间，逐年做EBITDA增长率同比，同比上升的年份有多少个？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,growth,EBITDA增长率 = (本期EBITDA - 上期EBITDA) / 上期EBITDA * 100%；EBITDA = 利润总额 + 利息支出 + 折旧与摊销,"year,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+2020,7783873271.39,817939358.51,1750073646.63,43284644.06,60188276.71
+2021,4455328319.67,1047467202.98,1975515889.41,48722862.91,88021341.24
+2022,5939604319.3,1369818044.5,1979169935.25,53707515.35,99448549.45
+2023,6493760487.02,1384616394.33,2097160396.74,68424063.89,80933832.81
+","year,EBITDA增长率
+2021,-27.166006709970148
+2022,23.987910787566165
+2023,7.235384640789519
+"
+CN,fundamental,对招商证券2017-2021年的EBITDA增长率做逐年同比，共发生同比上升几次？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,growth,EBITDA增长率 = (本期EBITDA - 上期EBITDA) / 上期EBITDA * 100%；EBITDA = 利润总额 + 利息支出 + 折旧与摊销,"year,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+2016,6452919858.61,0.0,91999161.15,1988323.97,67702839.71
+2017,7106555852.51,0.0,127670779.75,645000.0,70210411.16
+2018,5447484991.85,0.0,143690762.26,914587.74,71786077.97
+2019,8773636250.81,0.0,428692694.99,10975052.88,91240427.65
+2020,11308868940.72,0.0,468861090.26,12052430.13,110365166.02
+2021,13703852932.35,0.0,506909018.82,15842539.18,122855223.42
+","year,EBITDA增长率
+2017,10.438587321572337
+2018,-22.46662821642508
+2019,64.27873309117325
+2020,27.896080472838236
+2021,20.582199174202266
+"
+CN,fundamental,统计中国中车的EBITDA增长率在2021-2023年间逐年同比下降的次数。（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,growth,EBITDA增长率 = (本期EBITDA - 上期EBITDA) / 上期EBITDA * 100%；EBITDA = 利润总额 + 利息支出 + 折旧与摊销,"year,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+2020,15991090000.0,919640000.0,6542887000.0,894586000.0,152819000.0
+2021,13754823000.0,1121212000.0,6708859000.0,1019196000.0,83308000.0
+2022,16119668000.0,1069206000.0,6586726000.0,1237123000.0,117499000.0
+2023,16373001000.0,1102207000.0,6633291000.0,1044420000.0,196384000.0
+","year,EBITDA增长率
+2021,-7.4022381596979905
+2022,10.76731672799146
+2023,0.8717829870344957
+"
+CN,fundamental,计算兴业银行在2021至2025年间的净利润增长率，做同比比较，其中同比下降有几次？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.0,hard,growth,(本期净利润 - 上期净利润) / |上期净利润| * 100%,"year,净利润
+2020,67681000000.0
+2021,83816000000.0
+2022,92414000000.0
+2023,77654000000.0
+2024,77491000000.0
+2025,77854000000.0
+","year,净利润增长率
+2021,23.839777781061155
+2022,10.258184594826764
+2023,-15.971606033717837
+2024,-0.2099054781466505
+2025,0.46844149643184374
+"
+CN,fundamental,2021至2023年，海康威视的净利润增长率逐年同比，其中同比上升共多少次？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,growth,(本期净利润 - 上期净利润) / |上期净利润| * 100%,"year,净利润
+2020,13678319472.17
+2021,17510721210.47
+2022,13558130095.68
+2023,15155901763.21
+","year,净利润增长率
+2021,28.018074487128565
+2022,-22.572406169236878
+2023,11.784601978698328
+"
+CN,fundamental,中煤能源在2017到2019年间，逐年做净利润增长率同比，同比下降的年份有多少个？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,growth,(本期净利润 - 上期净利润) / |上期净利润| * 100%,"year,净利润
+2016,2932769000.0
+2017,4192442000.0
+2018,6145397000.0
+2019,8596999000.0
+","year,净利润增长率
+2017,42.951661041152576
+2018,46.58275534879194
+2019,39.89330550979863
+"
+CN,fundamental,对同仁堂2019-2023年的净利润增长率做逐年同比，共发生同比上升几次？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.0,hard,growth,(本期净利润 - 上期净利润) / |上期净利润| * 100%,"year,净利润
+2018,1822534017.57
+2019,1561601328.39
+2020,1616363305.19
+2021,1890760459.07
+2022,2204076827.29
+2023,2583225229.82
+","year,净利润增长率
+2019,-14.317027098781049
+2020,3.506783441101396
+2021,16.976205349313165
+2022,16.570918157137132
+2023,17.202140952417626
+"
+CN,fundamental,统计中信建投的净利润增长率在2019-2023年间逐年同比上升的次数。（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,growth,(本期净利润 - 上期净利润) / |上期净利润| * 100%,"year,净利润
+2018,3103427651.01
+2019,5529648447.75
+2020,9536685333.06
+2021,10235063596.23
+2022,7529581878.94
+2023,7047345927.09
+","year,净利润增长率
+2019,78.17874523191783
+2020,72.46458654962872
+2021,7.323071264069004
+2022,-26.433462692762767
+2023,-6.404551535574611
+"
+CN,fundamental,计算中远海能在2020至2022年间的每股收益增长率，做同比比较，其中同比下降有几次？（指标单位：%；净利润用归母净利润）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,growth,(本期每股收益 - 上期每股收益) / |上期每股收益| * 100%,"year,归属于母公司所有者的净利润,股本
+2019,431608020.77,4032032861.0
+2020,2372519124.56,4762691885.0
+2021,-4975409016.35,4762691885.0
+2022,1457074605.98,4770776395.0
+","year,每股收益增长率
+2020,365.362936935122
+2021,-309.70996460450976
+2022,129.2358971319662
+"
+CN,fundamental,2023至2025年，光大证券的每股收益增长率逐年同比，其中同比上升共多少次？（指标单位：%；净利润用归母净利润）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,growth,(本期每股收益 - 上期每股收益) / |上期每股收益| * 100%,"year,归属于母公司所有者的净利润,股本
+2022,3189072446.37,4610787639.0
+2023,4271152276.46,4610787639.0
+2024,3058464452.01,4610787639.0
+2025,3724190527.91,4610787639.0
+","year,每股收益增长率
+2023,33.930863857347944
+2024,-28.39252140771472
+2025,21.76667691731678
+"
+CN,fundamental,中国通号在2023到2025年间，逐年做每股收益增长率同比，同比上升的年份有多少个？（指标单位：%；净利润用归母净利润）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.0,hard,growth,(本期每股收益 - 上期每股收益) / |上期每股收益| * 100%,"year,归属于母公司所有者的净利润,股本
+2022,3633640258.62,10589819000.0
+2023,3477326647.54,10589819000.0
+2024,3494725837.36,10589819000.0
+2025,3686410571.89,10589819000.0
+","year,每股收益增长率
+2023,-4.301846081465578
+2024,0.500361098728218
+2025,5.484972025010206
+"
+CN,fundamental,对美的集团2018-2020年的每股收益增长率做逐年同比，共发生同比下降几次？（指标单位：%；净利润用归母净利润）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.0,hard,growth,(本期每股收益 - 上期每股收益) / |上期每股收益| * 100%,"year,归属于母公司所有者的净利润,股本
+2017,17283689000.0,6561053000.0
+2018,20230779000.0,6663031000.0
+2019,24211222000.0,6971900000.0
+2020,27222969000.0,7029976000.0
+","year,每股收益增长率
+2018,15.259803532137722
+2019,14.37333598546901
+2020,11.510582797547285
+"
+CN,fundamental,统计浙商银行的每股收益增长率在2017-2019年间逐年同比上升的次数。（指标单位：%；净利润用归���净利润）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0,hard,growth,(本期每股收益 - 上期每股收益) / |上期每股收益| * 100%,"year,归属于母公司所有者的净利润,股本
+2016,10153148000.0,17959697000.0
+2017,10949749000.0,17959697000.0
+2018,11490416000.0,18718697000.0
+2019,12924000000.0,21269000000.0
+","year,每股收益增长率
+2017,7.84585234057456
+2018,0.6827291373794302
+2019,-1.010361034577797
+"
+CN,fundamental,计算万华化学在2023至2025年间的公司自由现金流，做同比比较，其中同比下降有几次？（指标单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0,hard,cash flow,经营活动现金流净额 - 资本支出 + 利息支出 * (1 - 所得税费用 / 利润总额),"year,经营活动产生的现金流量净额,购建固定资产、无形资产和其他长期资产支付的现金,财务费用——利息费用,所得税费用,利润总额
+2023,26796752552.51,43098415319.53,2836945720.83,1710066689.51,20009871906.36
+2024,30053435178.33,35830124773.82,2817045032.13,2132822344.54,16924136091.56
+2025,33105189455.82,30711201211.89,2935698983.54,2228221206.16,16268157181.59
+","year,公司自由现金流
+2023,-13707165693.529785
+2024,-3314655688.1581826
+2025,4927589641.553581
+"
+CN,fundamental,2017至2019年，海康威视的公司自由现金流逐年同比，其中同比上升共多少次？（指标单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,cash flow,经营活动现金流净额 - 资本支出 + 利息支出 * (1 - 所得税费用 / 利润总额),"year,经营活动产生的现金流量净额,购建固定资产、无形资产和其他长期资产支付的现金,财务费用——利息费用,所得税费用,利润总额
+2017,7373160250.68,1692193203.99,99488392.12,1109318842.54,10486820482.36
+2018,9113286027.76,2055859307.21,154599429.03,1056739998.82,12437204553.3
+2019,7767720171.14,1927278918.86,192739975.98,1290278445.12,13755462747.77
+","year,公司自由现金流
+2017,5769931338.757142
+2018,7198890448.566915
+2019,6015101993.771124
+"
+CN,fundamental,卓胜微在2017到2021年间，逐年做公司自由现金流同比，同比上升的年份有多少个？（指标单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,cash flow,经营活动现金流净额 - 资本支出 + 利息支出 * (1 - 所得税费用 / 利润总额),"year,经营活动产生的现金流量净额,购建固定资产、无形资产和其他长期资产支付的现金,财务费用——利息费用,所得税费用,利润总额
+2017,128568526.65,15741327.74,111504.98,23538304.35,192984393.21
+2018,134282651.86,28765657.06,0.0,19260766.89,179636711.44
+2019,55619758.86,96248714.66,0.0,68198835.2,562655593.43
+2020,1005430233.84,153423570.39,0.0,146650156.17,1217150734.39
+2021,1149764467.78,2858355796.3,165437.72,280265054.83,2414969135.47
+","year,公司自由现金流
+2017,112925103.62879689
+2018,105516994.80000001
+2019,-40628955.8
+2020,852006663.45
+2021,-1708445090.3876827
+"
+CN,fundamental,对云南白药2020-2022年的公司自由现金流做逐年同比，共发生同比上升几次？（指标单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,cash flow,经营活动现金流净额 - 资本支出 + 利息支出 * (1 - 所得税费用 / 利润总额),"year,经营活动产生的现金流量净额,购建固定资产、无形资产和其他长期资产支付的现金,财务费用——利息费用,所得税费用,利润总额
+2020,3828906632.02,486420552.22,169153698.15,1290099287.03,6801135508.05
+2021,5223278282.5,534201772.81,51659540.6,683985622.02,3481646183.78
+2022,3209410032.57,446732820.54,67849588.22,536592729.51,3377002423.7
+","year,公司自由现金流
+2020,3479553214.5925274
+2021,4730587292.735263
+2022,2819745760.9816866
+"
+CN,fundamental,统计首创证券的公司自由现金流在2017-2019年间逐年同比上升的次数。（指标单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,cash flow,经营活动现金流净额 - 资本支出 + 利息支出 * (1 - 所得税费用 / 利润总额),"year,经营活动产生的现金流量净额,购建固定资产、无形资产和其他长期资产支付的现金,财务费用——利息费用,所得税费用,利润总额
+2017,-835496018.34,19907035.99,0.0,59623685.89,375034803.68
+2018,-1797593800.0,19041100.0,0.0,37783100.0,212748700.0
+2019,413186607.87,14999767.99,0.0,152492612.92,586350268.45
+","year,公司自由现金流
+2017,-855403054.33
+2018,-1816634900.0
+2019,398186839.88
+"
+CN,fundamental,计算国轩高科在2022至2024年间的股权自由现金流，做同比比较，其中同比上升有几次？（指标单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,cash flow,经营活动现金流净额 - 资本支出 + 净借款（取得借款收到的现金 + 发行债券收到的现金 - 偿还债务支付的现金）,"year,经营活动产生的现金流量净额,购建固定资产、无形资产和其他长期资产支付的现金,取得借款收到的现金,发行债券收到的现金,偿还债务支付的现金
+2022,801270839.12,13409304306.05,21341002137.59,0.0,7819959076.0
+2023,2418690817.29,13129650583.44,31015851135.8,0.0,15730510789.07
+2024,2705571729.01,9068397787.47,30313162509.91,0.0,25825122288.15
+","year,股权自由现金流
+2022,913009594.6600018
+2023,4574380580.579998
+2024,-1874785836.7000008
+"
+CN,fundamental,2021至2025年，中油资本的股权自由现金流逐年同比，其中同比下降共多少次？（指标单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.0,hard,cash flow,经营活动现金流净额 - 资本支出 + 净借款（取得借款收到的现金 + 发行债券收到的现金 - 偿还债务支付的现金）,"year,经营活动产生的现金流量净额,购建固定资产、无形资产和其他长期资产支付的现金,取得借款收到的现金,发行债券收到的现金,偿还债务支付的现金
+2021,38271760335.66,127390297.38,59628873731.21,0.0,58011777020.0
+2022,44108108844.41,150145582.89,68540842490.0,0.0,83624008059.45
+2023,40553550528.95,324027415.59,63941624725.27,0.0,74596938315.29
+2024,5926524850.9,954341712.89,68562707072.35,0.0,67519705620.52
+2025,-18277767921.32,930154721.78,102872839345.82,0.0,83782259225.92
+","year,股权自由现金流
+2021,39761466749.490005
+2022,28874797692.070007
+2023,29574209523.340004
+2024,6015184589.840001
+2025,-117342523.19998932
+"
+CN,fundamental,首创证券在2021到2023年间，逐年做股权自由现金流同比，同比上升的年份有多少个？（指标单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,cash flow,经营活动现金流净额 - 资本支出 + 净借款（取得借款收到的现金 + 发行债券收到的现金 - 偿还债务支付的现金）,"year,经营活动产生的现金流量净额,购建固定资产、无形资产和其他长期资产支付的现金,取得借款收到的现金,发行债券收到的现金,偿还债务支付的现金
+2021,539363564.8,93499166.53,0.0,5881410000.0,3714080000.0
+2022,734037428.81,109156935.14,0.0,4994180000.0,4157590000.0
+2023,-665194128.85,82339334.95,0.0,4941240000.0,2116530000.0
+","year,股权自由现金流
+2021,2613194398.27
+2022,1461470493.67
+2023,2077176536.1999998
+"
+CN,fundamental,对国电电力2018-2022年的股权自由现金流做逐年同比，共发生同比下降几次？（指标单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,cash flow,经营活动现金流净额 - 资本支出 + 净借款（取得借款收到的现金 + 发行债券收到的现金 - 偿还债务支付的现金）,"year,经营活动产生的现金流量净额,购建固定资产、无形资产和其他长期资产支付的现金,取得借款收到的现金,发行债券收到的现金,偿还债务支付的现金
+2018,31097434512.07,17091538286.84,127490808686.11,0.0,129004971595.61
+2019,33721790020.54,12149537182.64,133786783076.87,0.0,141889171598.87
+2020,42241530004.6,14979824312.92,166020022117.11,0.0,176671748159.26
+2021,24121939362.21,21335366430.75,183790010463.84,0.0,174662671830.28
+2022,37738186349.55,35701942106.43,206649785771.01,0.0,177479059204.11
+","year,股权自由现金流
+2018,12491733315.73
+2019,13469864315.900002
+2020,16609979649.529976
+2021,11913911565.019997
+2022,31206970810.020027
+"
+CN,fundamental,统计东方证券的股权自由现金流在2018-2022年间逐年同比下降的次数。（指标单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.0,hard,cash flow,经营活动现金流净额 - 资本支出 + 净借款（取得借款收到的现金 + 发行债券收到的现金 - 偿还债务支付的现金）,"year,经营活动产生的现金流量净额,购建固定资产、无形资产和其他长期资产支付的现金,取得借款收到的现金,发行债券收到的现金,偿还债务支付的现金
+2018,5719680134.58,417550684.86,2182238567.91,29863508084.88,31148634336.75
+2019,10385033926.77,298154341.97,3375435647.44,0.0,55462504685.95
+2020,28195640212.74,449310789.66,1927799867.92,0.0,85899273124.66
+2021,-10577731642.82,443308581.65,2139962824.0,0.0,39520589991.18
+2022,21616532485.13,306670673.38,3177275732.96,38347583987.0,48355849205.19
+","year,股权自由现金流
+2018,6199241765.760001
+2019,-42000189453.70999
+2020,-56225143833.66
+2021,-48401667391.65
+2022,14478872326.519997
+"
+CN,fundamental,计算华友钴业在2016至2018年间的经营现金流利润率，做同比比较，其中同比上升有几次？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,cash flow,经营活动现金流净额 / 营业收入 * 100%,"year,经营活动产生的现金流量净额,营业收入
+2016,972520586.08,4889385103.39
+2017,-1761977182.53,9653222710.89
+2018,1822550039.12,14450762951.95
+","year,经营现金流利润率
+2016,19.89044768442792
+2017,-18.252735229471888
+2018,12.612137125078668
+"
+CN,fundamental,2016至2018年，华东医药的经营现金流利润率逐年同比，其中同比下降共多少次？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0,hard,cash flow,经营活动现金流净额 / 营业收入 * 100%,"year,经营活动产生的现金流量净额,营业收入
+2016,1346962807.82,25379667502.88
+2017,1661118663.7,27831823148.07
+2018,2039496083.26,30663374326.27
+","year,经营现金流利润率
+2016,5.307251592902669
+2017,5.968414842472116
+2018,6.651244776778261
+"
+CN,fundamental,大华股份在2017到2019年间，逐年做经营现金流利润率同比，同比下降的年份有多少个？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,cash flow,经营活动现金流净额 / 营业收入 * 100%,"year,经营活动产生的现金流量净额,营业收入
+2017,914231360.01,18844458053.78
+2018,955315978.17,23665688106.22
+2019,1600604287.7,26149430652.42
+","year,经营现金流利润率
+2017,4.851460081265722
+2018,4.036713295139373
+2019,6.1209909652540455
+"
+CN,fundamental,对中际旭创2018-2022年的经营现金流利润率做逐年同比，共发生同比上升几次？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.0,hard,cash flow,经营活动现金流净额 / 营业收入 * 100%,"year,经营活动产生的现金流量净额,营业收入
+2018,660013526.46,5156314239.9
+2019,569457698.94,4757677023.35
+2020,21688211.25,7049590125.44
+2021,812760603.14,7695404805.69
+2022,2448940873.28,9641794766.08
+","year,经营现金流利润率
+2018,12.800102859378876
+2019,11.969238267860195
+2020,0.30765208847721953
+2021,10.561635465090061
+2022,25.39922216448141
+"
+CN,fundamental,统计长春高新的经营现金流利润率在2021-2023年间逐年同比上升的次数。（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,cash flow,经营活动现金流净额 / 营业收入 * 100%,"year,经营活动产生的现金流量净额,营业收入
+2021,3330619225.29,10746717262.21
+2022,2826408333.06,12627188966.71
+2023,5103687813.05,14566039611.98
+","year,经营现金流利润率
+2021,30.991968468379316
+2022,22.383511805449903
+2023,35.038266742405504
+"
+CN,fundamental,计算星宇股份在2020至2022年间的资本支出占收入比，做同比比较，其中同比上升有几次？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,cash flow,资本支出 / 营业收入 * 100%,"year,购建固定资产、无形资产和其他长期资产支付的现金,营业收入
+2020,795170219.79,7322715089.72
+2021,1265190760.63,7909449648.26
+2022,955696509.38,8247994585.86
+","year,资本支出占收入比
+2020,10.858953407955205
+2021,15.99593924854594
+2022,11.587016691528923
+"
+CN,fundamental,2023至2025年，宝钢股份的资本支出占收入比逐年同比，其中同比下降共多少次？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.0,hard,cash flow,资本支出 / 营业收入 * 100%,"year,购建固定资产、无形资产和其他长期资产支付的现金,营业收入
+2023,21028689613.48,344500428314.62
+2024,19336433651.03,322115845919.76
+2025,18507325935.15,317507793966.66
+","year,资本支出占收入比
+2023,6.10411131166294
+2024,6.002943939568487
+2025,5.828935946401797
+"
+CN,fundamental,芒果超媒在2021到2023年间，逐年做资本支出占收入比同比，同比下降的年份有多少个？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,cash flow,资本支出 / 营业收入 * 100%,"year,购建固定资产、无形资产和其他长期资产支付的现金,营业收入
+2021,193602527.81,15355863482.07
+2022,189897809.91,13976774034.92
+2023,150261073.92,14628016301.84
+","year,资本支出占收入比
+2021,1.2607726555791314
+2022,1.3586669530147193
+2023,1.027214290847483
+"
+CN,fundamental,对山西汾酒2019-2023年的资本支出占收入比做逐年同比，共发生同比下降几次？（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.0,hard,cash flow,资本支出 / 营业收入 * 100%,"year,购建固定资产、无形资产和其他长期资产支付的现金,营业收入
+2019,161368576.12,11892584392.29
+2020,195822132.58,13989804850.8
+2021,156277238.19,19970986258.92
+2022,825576632.31,26213860718.3
+2023,485035030.78,31928483054.02
+","year,资本支出占收入比
+2019,1.3568840110532725
+2020,1.3997488504552087
+2021,0.782521384592106
+2022,3.14938971096944
+2023,1.5191295808177487
+"
+CN,fundamental,统计正泰电器的资本支出占收入比在2021-2023年间逐年同比下降的次数。（指标单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.0,hard,cash flow,资本支出 / 营业收入 * 100%,"year,购建固定资产、无形资产和其他长期资产支付的现金,营业收入
+2021,12104654132.12,39032520606.97
+2022,10670207352.23,45974331286.72
+2023,4363713068.3,57250814312.46
+","year,资本支出占收入比
+2021,31.011715215641196
+2022,23.209053951617044
+2023,7.622097817655472
+"
+CN,fundamental,计算铜陵有色在2019至2023年间的现金流量充裕率，做同比比较，其中同比上升有几次？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.0,hard,cash flow,经营活动现金流净额 / (资本支出 + 偿还债务支付的现金 + 分配股利、利润或偿付利息支付的现金),"year,经营活动产生的现金流量净额,购建固定资产、无形资产和其他长期资产支付的现金,偿还债务支付的现金,分配股利、利润或偿付利息支付的现金
+2019,4060204723.47,2343268496.0,16323472875.1,1215657904.54
+2020,2156642457.67,1519084170.12,18050969001.24,934136235.09
+2021,3413057479.05,1424470294.95,19650451878.64,1197015126.3
+2022,9155925054.75,2176410078.72,20882393783.35,2063719931.03
+2023,5924657630.78,2750839885.32,21735504857.39,1715022937.28
+","year,现金流量充裕率
+2019,0.20421100427474967
+2020,0.10518057626757901
+2021,0.15324475069651247
+2022,0.36445084618706625
+2023,0.22612016682261457
+"
+CN,fundamental,2016至2018年，伊利股份的现金流量充裕率逐年同比，其中同比下降共多少次？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.0,hard,cash flow,经营活动现金流净额 / (资本支出 + 偿还债务支付的现金 + 分配股利、利润或偿付利息支付的现金),"year,经营活动产生的现金流量净额,购建固定资产、无形资产和其他长期资产支付的现金,偿还债务支付的现金,分配股利、利润或偿付利息支付的现金
+2016,12817325815.25,3419007157.35,6588000000.0,2776233066.4
+2017,7006297178.98,3351359455.32,750000000.0,3845428901.98
+2018,8624771799.8,5090600464.62,11320000000.0,4392602765.29
+","year,现金流量充裕率
+2016,1.0026664281436777
+2017,0.8816514123650901
+2018,0.4145886431277878
+"
+CN,fundamental,圣邦股份在2021到2023年间，逐年做现金流量充裕率同比，同比上升的年份有多少个？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0,hard,cash flow,经营活动现金流净额 / (资本支出 + 偿还债务支付的现金 + 分配股利、利润或偿付利息支付的现金),"year,经营活动产生的现金流量净额,购建固定资产、无形资产和其他长期资产支付的现金,偿还债务支付的现金,分配股利、利润或偿付利息支付的现金
+2021,763146769.55,181015598.97,0.0,78246572.0
+2022,947899907.97,259948211.7,0.0,118730383.5
+2023,170670822.08,233250684.88,0.0,107846485.8
+","year,现金流量充裕率
+2021,2.943533052642323
+2022,2.503177945585661
+2023,0.5003583633946782
+"
+CN,fundamental,对渝农商行2016-2020年的现金流量充裕率做逐年同比，共发生同比下降几次？按中国会计准则，写出指标公式，搜��原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.0,hard,cash flow,经营活动现金流净额 / (资本支出 + 偿还债务支付的现金 + 分配股利、利润或偿付利息支付的现金),"year,经营活动产生的现金流量净额,购建固定资产、无形资产和其他长期资产支付的现金,偿还债务支付的现金,分配股利、利润或偿付利息支付的现金
+2016,6085647000.0,709141000.0,120770000000.0,2046536000.0
+2017,-19366966000.0,786196000.0,148040000000.0,2440035000.0
+2018,-81223277000.0,591265000.0,0.0,2484556000.0
+2019,23851259000.0,837524000.0,249820000000.0,2709435000.0
+2020,42370280000.0,790128000.0,227370000000.0,3318963000.0
+","year,现金流量充裕率
+2016,0.04926625093501815
+2017,-0.12803231674358304
+2018,-26.40702336059218
+2019,0.09413721147436592
+2020,0.18304149984760396
+"
+CN,fundamental,统计中航沈飞的现金流量充裕率在2018-2022年间逐年同比上升的次数。按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.0,hard,cash flow,经营活动现金流净额 / (资本支出 + 偿还债务支付的现金 + 分配股利、利润或偿付利息支付的现金),"year,经营活动产生的现金流量净额,购建固定资产、无形资产和其他长期资产支付的现金,偿还债务支付的现金,分配股利、利润或偿付利息支付的现金
+2018,235195589.55,612249476.01,229500000.0,20580635.64
+2019,-1147887622.59,561222400.07,228500000.0,24535629.4
+2020,6319894352.62,742053256.59,2483500000.0,241783745.11
+2021,10143422728.63,1094528146.03,380000000.0,465641064.55
+2022,2677649020.52,1060086615.25,600000000.0,699434142.18
+","year,现金流量充裕率
+2018,0.27274426159138987
+2019,-1.4097344834746783
+2020,1.8226940010507833
+2021,5.228112410668395
+2022,1.134827490747107
+"
+CN,fundamental,计算迈瑞医疗在2017至2021年间的每股净资产，做同比比较，其中同比下降有几次？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0,hard,per share,股东权益合计 / 股本,"year,股东权益合计,股本
+2017,6654126669.0,1094091266.0
+2018,15178316283.0,1215691266.0
+2019,18617050290.0,1215691266.0
+2020,23290381508.0,1215691266.0
+2021,26968045991.0,1215691266.0
+","year,每股净资产
+2017,6.081875320445159
+2018,12.485337936942948
+2019,15.313962360900929
+2020,19.158138385441028
+2021,22.183301587526582
+"
+CN,fundamental,2022至2024年，洋河股份的每股净资产逐年同比，其中同比下降共多少次？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,per share,股东权益合计 / 股本,"year,股东权益合计,股本
+2022,47524543513.81,1506988000.0
+2023,52049863974.86,1506445074.0
+2024,51693045853.88,1506445074.0
+","year,每股净资产
+2022,31.53611277184025
+2023,34.551451541909984
+2024,34.31459051913631
+"
+CN,fundamental,天坛生物在2016到2020年间，逐年做每股净资产同比，同比上升的年份有多少个？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,per share,股东权益合计 / 股本,"year,股东权益合计,股本
+2016,2622291249.05,515466868.0
+2017,4450413450.47,670106928.0
+2018,4346783469.37,871139006.0
+2019,5177362412.3,1045366807.0
+2020,6030954816.63,1254440168.0
+","year,每股净资产
+2016,5.087215904340141
+2017,6.641348215504497
+2018,4.989770219713936
+2019,4.952675345755455
+2020,4.8076863053942
+"
+CN,fundamental,对中国太保2023-2025年的每股净资产做逐年同比，共发生同比下降几次？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0,hard,per share,股东权益合计 / 股本,"year,股东权益合计,股本
+2023,267704000000.0,9620000000.0
+2024,318481000000.0,9620000000.0
+2025,334224000000.0,9620000000.0
+","year,每股净资产
+2023,27.827858627858628
+2024,33.106133056133054
+2025,34.74261954261954
+"
+CN,fundamental,统计山西焦煤的每股净资产在2021-2023年间逐年同比下降的次数。按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,per share,股东权益合计 / 股本,"year,股东权益合计,股本
+2021,34493459067.87,4096560000.0
+2022,43253340038.76,4096560000.0
+2023,48243078866.3,5677101059.0
+","year,每股净资产
+2021,8.420103469220518
+2022,10.558453931776906
+2023,8.497836900370036
+"
+CN,fundamental,计算中远海能在2021至2023年间的每股资本公积金，做同比比较，其中同比上升有几次？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.0,hard,per share,资本公积 / 股本,"year,资本公积,股本
+2021,11924618640.46,4762691885.0
+2022,11980636063.7,4770776395.0
+2023,12544125877.34,4770776395.0
+","year,每股资本公积金
+2021,2.5037560540114594
+2022,2.5112549974583334
+2023,2.6293678090817334
+"
+CN,fundamental,2022至2024年，中际旭创的每股资本公积金逐年同比，其中同比下降共多少次？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,per share,资本公积 / 股本,"year,资本公积,股本
+2022,7931844143.44,800961788.0
+2023,8057568184.61,802826238.0
+2024,7731323398.69,1121166509.0
+","year,每股资本公积金
+2022,9.90289956683926
+2023,10.036503297006094
+2024,6.895785181440877
+"
+CN,fundamental,新易盛在2022到2024年间，逐年做每股资本公积金同比，同比上升的年份有多少个？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,per share,资本公积 / 股本,"year,资本公积,股本
+2022,1727086902.67,507086219.0
+2023,1530788119.3,709919026.0
+2024,1614730342.64,708806652.0
+","year,每股资本公积金
+2022,3.4059038442730785
+2023,2.1562855244564187
+2024,2.278097049574529
+"
+CN,fundamental,对长安汽车2020-2024年的每股资本公积金做逐年同比，共发生同比下降几次？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.0,hard,per share,资本公积 / 股本,"year,资本公积,股本
+2020,10930781918.64,5363396174.0
+2021,9776193360.38,7632153402.0
+2022,8532806685.77,9921799422.0
+2023,8251287637.7,9917289033.0
+2024,8925798850.14,9914086060.0
+","year,每股资本公积金
+2020,2.0380336570378437
+2021,1.280922021014168
+2022,0.860005964931106
+2023,0.8320104022625192
+2024,0.90031484456773
+"
+CN,fundamental,统计国信证券的每股资本公积金在2019-2023年间逐年同比下降的次数。按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.0,hard,per share,资本公积 / 股本,"year,资本公积,股本
+2019,6769233170.81,8200000000.0
+2020,20155606605.47,9612429377.0
+2021,20155672569.84,9612429377.0
+2022,20146238607.58,9612429377.0
+2023,20136775303.52,9612429377.0
+","year,每股资本公积金
+2019,0.825516240342683
+2020,2.0968275359917894
+2021,2.0968343983953934
+2022,2.095852964681813
+2023,2.0948684784828666
+"
+CN,fundamental,计算南方航空在2021至2023年间的每股未分配利润，做同比比较，其中同比下降有几次？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.0,hard,per share,未分配利润 / 股本,"year,未分配利润,股本
+2021,43000000.0,16948000000.0
+2022,-32679000000.0,18121000000.0
+2023,-36888000000.0,18121000000.0
+","year,每股未分配利润
+2021,0.002537172527731886
+2022,-1.8033772970586612
+2023,-2.035649246730313
+"
+CN,fundamental,2022至2024年，京东方A的每股未分配利润逐年同比，其中同比下降共多少次？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0,hard,per share,未分配利润 / 股本,"year,未分配利润,股本
+2022,35829465307.0,38196363421.0
+2023,35579576607.0,37652529195.0
+2024,39410894857.0,37645016203.0
+","year,每股未分配利润
+2022,0.9380334172677103
+2023,0.944945196715357
+2024,1.0469086968770989
+"
+CN,fundamental,中国建筑在2020到2022年间，逐年做每股未分配利润同比，同比上升的年份有多少个？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.0,hard,per share,未分配利润 / 股本,"year,未分配利润,股本
+2020,231938846000.0,41965072000.0
+2021,270367451000.0,41948168000.0
+2022,307574145000.0,41934433000.0
+","year,每股未分配利润
+2020,5.526949792913498
+2021,6.445274344281257
+2022,7.33464418131038
+"
+CN,fundamental,对青岛啤酒2022-2024年的每股未分配利润做逐年同比，共发生同比下降几次？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0,hard,per share,未分配利润 / 股本,"year,未分配利润,股本
+2022,18528390855.0,1364232790.0
+2023,20334065296.0,1364196788.0
+2024,21950655578.0,1364196788.0
+","year,每股未分配利润
+2022,13.581546339316475
+2023,14.905522044082103
+2024,16.09053457029544
+"
+CN,fundamental,统计交通银行的每股未分配利润在2021-2023年间逐年同���上升的次数。按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.0,hard,per share,未分配利润 / 股本,"year,未分配利润,股本
+2021,258074000000.0,74263000000.0
+2022,292734000000.0,74263000000.0
+2023,326744000000.0,74263000000.0
+","year,每股未分配利润
+2021,3.475135666482636
+2022,3.941855298062292
+2023,4.399822253342849
+"
+CN,fundamental,计算天齐锂业在2021至2023年间的每股经营现金流，做同比比较，其中同比下降有几次？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0,hard,per share,经营活动现金流净额 / 股本,"year,经营活动产生的现金流量净额,股本
+2021,2094448935.69,1477099383.0
+2022,20297583221.14,1641221583.0
+2023,22688073725.98,1641221583.0
+","year,每股经营现金流
+2021,1.4179472009772007
+2022,12.367363085755862
+2023,13.82389432419498
+"
+CN,fundamental,2022至2024年，新和成的每股经营现金流逐年同比，其中同比上升共多少次？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.0,hard,per share,经营活动现金流净额 / 股本,"year,经营活动产生的现金流量净额,股本
+2022,4361481083.61,3090907356.0
+2023,5119370863.32,3090907356.0
+2024,7073064183.33,3073421680.0
+","year,每股经营现金流
+2022,1.4110682014275162
+2023,1.6562679736687649
+2024,2.3013647067557614
+"
+CN,fundamental,国电电力在2016到2018年间，逐年做每股经营现金流同比，同比下降的年份有多少个？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,per share,经营活动现金流净额 / 股本,"year,经营活动产生的现金流量净额,股本
+2016,23414262235.19,19650397845.0
+2017,19777912313.95,19650397845.0
+2018,31097434512.07,19650397845.0
+","year,每股经营现金流
+2016,1.1915413835322273
+2017,1.006489154568565
+2018,1.5825346009461418
+"
+CN,fundamental,对澜起科技2020-2022年的每股经营现金流做逐年同比，共发生同比上升几次？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,per share,经营活动现金流净额 / 股本,"year,经营活动产生的现金流量净额,股本
+2020,1000111569.0,1129813889.0
+2021,680414534.55,1131306771.0
+2022,688835385.81,1134068231.0
+","year,每股经营现金流
+2020,0.8852002783265484
+2021,0.6014412288441965
+2022,0.6074020653965395
+"
+CN,fundamental,统计青岛啤酒的每股经营现金流在2021-2025年间逐年同比下降的次数。按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.0,hard,per share,经营活动现金流净额 / 股本,"year,经营活动产生的现金流量净额,股本
+2021,6043111455.0,1364354793.0
+2022,4878771322.0,1364232790.0
+2023,2777567140.0,1364196788.0
+2024,5154661132.0,1364196788.0
+2025,4592509302.0,1364195121.0
+","year,每股经营现金流
+2021,4.429281508010211
+2022,3.5762014795143577
+2023,2.0360457995741887
+2024,3.778531937138676
+2025,3.366460729337266
+"
+CN,fundamental,计算三六零在2021至2025年间的权益乘数，做同比比较，其中同比下降有几次？（用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0,hard,solvency,平均总资产 / 平均股东权益,"year,资产合计,股东权益合计
+2020,44261773000.0,36757512000.0
+2021,42039484000.0,34959636000.0
+2022,38615763000.0,31677793000.0
+2023,40168367000.0,31850619000.0
+2024,38256187000.0,30135363000.0
+2025,37516528000.0,29315041000.0
+","year,权益乘数
+2021,1.203355953307011
+2022,1.210359526325663
+2023,1.2401400809451997
+2024,1.2651982185262467
+2025,1.274553407576507
+"
+CN,fundamental,2023至2025年，中国中冶的权益乘数逐年同比，其中同比上升共多少次？（用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.0,hard,solvency,平均总资产 / 平均股东权益,"year,资产合计,股东权益合计
+2022,585392827000.0,161917562000.0
+2023,661602236000.0,167991165000.0
+2024,808015755000.0,182335866000.0
+2025,839488682000.0,183559438000.0
+","year,权益乘数
+2023,3.7798183586698513
+2024,4.194988855998383
+2025,4.50266625176474
+"
+CN,fundamental,中泰证券在2023到2025年间，逐年做权益乘数同比，同比下降的年份有多少个？（用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据���计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,solvency,平均总资产 / 平均股东权益,"year,资产合计,股东权益合计
+2022,198893934656.96,39669635839.59
+2023,195658686810.89,42328129641.06
+2024,224693255623.92,45258548852.58
+2025,253531045753.27,52868165217.32
+","year,权益乘数
+2023,4.811748456254668
+2024,4.799267989884254
+2025,4.873538321445572
+"
+CN,fundamental,对沪硅产业2018-2022年的权益乘数做逐年同比，共发生同比下降几次？（用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.0,hard,solvency,平均总资产 / 平均股东权益,"year,资产合计,股东权益合计
+2017,5833376480.35,3697588285.36
+2018,6822546904.24,3595028291.01
+2019,9963244097.36,5174439051.41
+2020,14498507264.28,9539967092.1
+2021,16256712742.67,10494244347.2
+2022,25462606414.08,19546327409.51
+","year,权益乘数
+2018,1.7354434107503371
+2019,1.9141175109237405
+2020,1.6624355154441082
+2021,1.5351350413832205
+2022,1.388765816264179
+"
+CN,fundamental,统计纳思达的权益乘数在2019-2021年间逐年同比下降的次数。（用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.0,hard,solvency,平均总资产 / 平均股东权益,"year,资产合计,股东权益合计
+2018,36113499499.87,8564642833.91
+2019,37819050441.07,9589865844.04
+2020,39688271911.12,12945437692.97
+2021,43585062644.27,18376012126.39
+","year,权益乘数
+2019,4.072407094703509
+2020,3.439373347019657
+2021,2.658667942756538
+"
+CN,fundamental,计算爱尔眼科在2021至2025年间的EBIT，做同比比较，其中同比下降有几次？（指标单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,valuation,利润总额 + 利息支出,"year,利润总额,财务费用——利息费用
+2021,3147754919.02,164663163.62
+2022,3335055554.35,177647497.63
+2023,4551018610.83,194823311.92
+2024,4594282265.9,255561402.92
+2025,4425135001.83,269717423.59
+","year,EBIT
+2021,3312418082.64
+2022,3512703051.98
+2023,4745841922.75
+2024,4849843668.82
+2025,4694852425.42
+"
+CN,fundamental,2017至2019年，正泰电器的EBIT逐年同比，其中同比下降共多少次？（指标单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0,hard,valuation,利润总额 + 利息支出,"year,利润总额,财务费用——利息费用
+2017,3394609199.32,573429676.48
+2018,4243014200.29,539216694.69
+2019,4511259558.22,628816591.92
+","year,EBIT
+2017,3968038875.8
+2018,4782230894.98
+2019,5140076150.14
+"
+CN,fundamental,特变电工在2017到2021年间，逐年做EBIT同比，同比下降的年份有多少个？（指标单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0,hard,valuation,利润总额 + 利息支出,"year,利润总额,财务费用——利息费用
+2017,3060182682.38,641232622.12
+2018,2787125378.03,993793597.75
+2019,2810858569.41,1072374592.25
+2020,3588223730.17,1279913700.03
+2021,11831844260.88,1428540414.21
+","year,EBIT
+2017,3701415304.5
+2018,3780918975.78
+2019,3883233161.66
+2020,4868137430.2
+2021,13260384675.09
+"
+CN,fundamental,对润泽科技2023-2025年的EBIT做逐年同比，共发生同比上升几次？（指标单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.0,hard,valuation,利润总额 + 利息支出,"year,利润总额,财务费用——利息费用
+2023,1777305679.32,159984200.63
+2024,1829269474.48,260220526.42
+2025,5689364322.12,331424913.77
+","year,EBIT
+2023,1937289879.9499998
+2024,2089490000.9
+2025,6020789235.889999
+"
+CN,fundamental,统计龙源电力的EBIT在2017-2021年间逐年同比下降的次数。（指标单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0,hard,valuation,利润总额 + 利息支出,"year,利润总额,财务费用——利息费用
+2017,5432650130.2,2846635615.42
+2018,5833972058.53,3564271989.93
+2019,6430368620.38,3384520738.08
+2020,6980792956.32,2974137017.06
+2021,10015648958.62,3434919638.09
+","year,EBIT
+2017,8279285745.62
+2018,9398244048.46
+2019,9814889358.46
+2020,9954929973.38
+2021,13450568596.710001
+"
+CN,fundamental,计算龙佰集团在2021至2023年间的EBITDA，做同比比较，其中同比上升有几次？（指标单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,valuation,利润总额 + 利息支出 + 折旧与摊销,"year,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+2021,5518909889.42,299600490.57,1321335040.69,175402350.25,16015739.31
+2022,4072702732.89,424465296.84,1500000368.05,209960057.51,14880866.72
+2023,3917125266.94,556172948.13,2107370026.24,395402340.32,57857924.63
+","year,EBITDA
+2021,7331263510.240001
+2022,6222009322.01
+2023,7033928506.259999
+"
+CN,fundamental,2021至2025年，长电科技的EBITDA逐年同比，其中同比下降共多少次？（指标单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,valuation,利润总额 + 利息支出 + 折旧与摊销,"year,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+2021,3170535543.19,312953065.0,3577424852.8,108500781.71,269275.12
+2022,3291299137.87,207588936.45,3701014366.91,88949137.08,2585486.19
+2023,1522240843.74,314285409.91,3460442223.02,68611046.13,10026023.42
+2024,1648906851.98,443078238.46,3553502658.81,75480910.73,10001107.68
+2025,1738293696.95,436617821.93,4056513866.91,68935428.96,19902608.39
+","year,EBITDA
+2021,7169683517.82
+2022,7291437064.499999
+2023,5375605546.22
+2024,5730969767.66
+2025,6320263423.14
+"
+CN,fundamental,古井贡酒在2020到2022年间，逐年做EBITDA同比，同比下降的年份有多少个？（指标单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0,hard,valuation,利润总额 + 利息支出 + 折旧与摊销,"year,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+2020,2473835966.72,876815.8,214098270.11,34419897.25,23731383.35
+2021,3171293934.56,7036575.14,239269825.07,42153384.37,33723640.28
+2022,4470492048.73,5679645.21,240877515.2,42703216.86,30753707.48
+","year,EBITDA
+2020,2746962333.23
+2021,3493477359.42
+2022,4790506133.479999
+"
+CN,fundamental,对豪威集团2018-2020年的EBITDA做逐年同比，共发生同比上升几次？（指标单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.0,hard,valuation,利润总额 + 利息支出 + 折旧与摊销,"year,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+2018,206545109.77,142028662.13,158563271.6,302571989.42,23048426.84
+2019,784459257.58,285413296.44,184195761.81,359645770.92,33954409.49
+2020,2991132546.87,296875302.66,247206328.52,470666270.11,47395086.84
+","year,EBITDA
+2018,832757459.7600001
+2019,1647668496.24
+2020,4053275535.0
+"
+CN,fundamental,统计广发证券的EBITDA在2022-2024年间逐年同比下降的次数。（指标单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,valuation,利润总额 + 利息支出 + 折旧与摊销,"year,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+2022,10387789226.12,0.0,623689320.08,152130801.09,43573741.71
+2023,8744435954.21,0.0,705194559.5,176517640.36,47762842.06
+2024,11852139233.96,0.0,763221567.15,206976269.61,52007039.21
+","year,EBITDA
+2022,11207183089.0
+2023,9673910996.13
+2024,12874344109.929998
+"
+CN,fundamental,计算山金国际在2019至2021年间的NOPAT，做同比比较，其中同比上升有几次？（指标单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.0,hard,valuation,EBIT × (1 - 实际税率) = (利润总额 + 利息支出) × (1 - 所得税费用 / 利润总额),"year,利润总额,财务费用——利息费用,所得税费用
+2019,1177174410.84,29297524.57,221722993.29
+2020,1761071642.21,42193580.61,394953966.0
+2021,1844617072.24,70823851.02,422907820.53
+","year,NOPAT
+2019,979230698.7876356
+2020,1398848540.1409967
+2021,1476295607.7359643
+"
+CN,fundamental,2020至2024年，长电科技的NOPAT逐年同比，其中同比上升共多少次？（指标单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.0,hard,valuation,EBIT × (1 - 实际税率) = (利润总额 + 利息支出) × (1 - 所得税费用 / 利润总额),"year,利润总额,财务费用——利息费用,所得税费用
+2020,1431293611.93,569723822.46,125309726.85
+2021,3170535543.19,312953065.0,210276123.75
+2022,3291299137.87,207588936.45,60310932.34
+2023,1522240843.74,314285409.91,51996119.14
+2024,1648906851.98,443078238.46,36876793.56
+","year,NOPAT
+2020,1825828398.377058
+2021,3252456824.5436053
+2022,3434773208.7073555
+2023,1773794893.9698145
+2024,2045199122.9864004
+"
+CN,fundamental,福耀玻璃在2021到2023年间，逐年做NOPAT同比，同比上升的年份有多少个？（指标单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.0,hard,valuation,EBIT × (1 - 实际税率) = (利润总额 + 利息支出) × (1 - 所得税费用 / 利润总额),"year,利润总额,财务费用——利息费用,所得税费用
+2021,3818842094.0,318940791.0,675861301.0
+2022,5579105687.0,288122259.0,826310042.0
+2023,6716021914.0,288319603.0,1086913641.0
+","year,NOPAT
+2021,3405475223.390875
+2022,4998244699.853648
+2023,5870766546.796302
+"
+CN,fundamental,对新和成2016-2020年的NOPAT做逐年同比，共发生同比下降几次？（指标单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,valuation,EBIT × (1 - 实际税率) = (利润总额 + 利息支出) × (1 - 所得税费用 / 利润总额),"year,利润总额,财务费用——利息费用,所得税费用
+2016,1500021246.0,0.0,274636463.22
+2017,2118096646.12,61966277.05,404294683.47
+2018,3639700078.3,86313025.06,541261622.75
+2019,2565343560.67,192610308.63,392122350.32
+2020,4109891743.04,249052551.92,532664232.53
+","year,NOPAT
+2016,1225384782.78
+2017,1763940339.2065847
+2018,3171915827.3958874
+2019,2336390313.4924474
+2020,3794001502.6229773
+"
+CN,fundamental,统计中油资本的NOPAT在2021-2023年间逐年同比下降的次数。（指标单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0,hard,valuation,EBIT × (1 - 实际税率) = (利润总额 + 利息支出) × (1 - 所得税费用 / 利润总额),"year,利润总额,财务费用——利息费用,所得税费用
+2021,13484157903.19,213427438.68,1895442409.49
+2022,13011229232.93,205412034.36,2174432022.04
+2023,13554509242.12,87215630.48,2334813516.57
+","year,NOPAT
+2021,11772141843.581776
+2022,11007880858.805595
+2023,11291888146.464573
+"
+CN,fundamental,同花顺2016-2018年的毛利率的最大值是？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,91.7999,medium,profitability,(营业收入 - 营业成本) / 营业收入 * 100%,"year,营业收入,营业成本
+2016,1733656403.77,142162281.85
+2017,1409698260.25,141014156.68
+2018,1386887015.18,146080304.15
+","year,毛利率
+2016,91.79985829136301
+2017,89.99685530895157
+2018,89.46703642394108
+"
+CN,fundamental,2018至2020年间，百利天恒毛利率的最大值是多少？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,80.9521,medium,profitability,(营业收入 - 营业成本) / 营业收入 * 100%,"year,营业收入,营业成本
+2018,1110892094.22,233539293.05
+2019,1206623638.95,229836807.08
+2020,1012709388.05,200943930.98
+","year,毛利率
+2018,78.97731973563312
+2019,80.95207157718183
+2020,80.15778925808883
+"
+CN,fundamental,士兰微的毛利率在2017到2019年的最大值是？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,26.7036,medium,profitability,(营业收入 - 营业成本) / 营业收入 * 100%,"year,营业收入,营业成本
+2017,2741791759.44,2009633731.24
+2018,3025857115.44,2255612199.35
+2019,3110573827.93,2504805451.16
+","year,毛利率
+2017,26.703633697897626
+2018,25.455429212426516
+2019,19.47448960480459
+"
+CN,fundamental,对于晶澳科技的毛利率，其2020-2022年的最大值是多少？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,16.3635,medium,profitability,(营业收入 - 营业成本) / 营业收入 * 100%,"year,营业收入,营业成本
+2020,25846520912.72,21617123279.02
+2021,41301753627.9,35259765526.0
+2022,72989400575.18,62204704732.46
+","year,毛利率
+2020,16.363508450448983
+2021,14.628889989355176
+2022,14.775701345309203
+"
+CN,fundamental,计算爱美客在2020-2022年的毛利率的最大值。（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,94.8468,medium,profitability,(营业收入 - 营业成本) / 营业收入 * 100%,"year,营业收入,营业成本
+2020,709290197.0,58121828.15
+2021,1447872001.48,91269071.37
+2022,1938838363.7,99911554.61
+","year,毛利率
+2020,91.80563492970424
+2021,93.69633011228164
+2022,94.84683424463849
+"
+CN,fundamental,金山办公2020-2024年的EBIT利润率的平均值是？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,34.3698,medium,profitability,(利润总额 + 利息支出) / 营业收入 * 100%,"year,营业收入,利润总额,财务费用——利息费用
+2020,2260968393.13,935863143.87,3786.18
+2021,3280058758.03,1118710945.87,5917385.24
+2022,3884959481.38,1198242356.16,10327234.18
+2023,4555968287.39,1389839471.97,9274711.42
+2024,5120838798.82,1750422726.33,8664291.3
+","year,EBIT利润率
+2020,41.39230485899985
+2021,34.286834903696985
+2022,31.10893681472057
+2023,30.709480293409097
+2024,34.35154057252004
+"
+CN,fundamental,2016至2020年间，中国船舶EBIT利润率的平均值是多少？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-1.9375,medium,profitability,(利润总额 + 利息支出) / 营业收入 * 100%,"year,营业收入,利润总额,财务费用——利息费用
+2016,21457070448.01,-2696839984.03,0.0
+2017,16691101409.65,-2484484994.46,859841147.03
+2018,16910307369.13,638729806.81,272929321.63
+2019,52657487622.2,2598479521.45,479939865.21
+2020,55243541320.18,310722417.37,450077645.4
+","year,EBIT利润率
+2016,-12.568537678824251
+2017,-9.733592814256752
+2018,5.391144634687399
+2019,5.846118995928248
+2020,1.377174678865285
+"
+CN,fundamental,中远海能的EBIT利润率在2017到2019年的平均值是？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,20.1366,medium,profitability,(利润总额 + 利息支出) / 营业收入 * 100%,"year,营业收入,利润总额,财务费用——利息费用
+2017,9778392035.65,2046705783.94,745866602.96
+2018,12286002132.16,443515996.32,1264914167.67
+2019,13880075062.56,1019738866.37,1471139906.97
+","year,EBIT利润率
+2017,28.55860530769126
+2018,13.905501119180103
+2019,17.94571543823186
+"
+CN,fundamental,对于宁波银行的EBIT利润率，其2020-2022年的平均值是多少？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,40.8146,medium,profitability,(利润总额 + 利息支出) / 营业收入 * 100%,"year,营业收入,利润总额,财务费用——利息费用
+2020,41111000000.0,16455000000.0,0.0
+2021,52774000000.0,20445000000.0,0.0
+2022,57879000000.0,25280000000.0,0.0
+","year,EBIT利润率
+2020,40.025783853469875
+2021,38.74066775306022
+2022,43.677326837022065
+"
+CN,fundamental,计算三环集团在2020-2022年的EBIT利润率的最大值。（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,42.1129,medium,profitability,(利润总额 + 利息支出) / 营业收入 * 100%,"year,营业收入,利润总额,财务费用——利息费用
+2020,3993974641.28,1678604413.73,3375011.99
+2021,6218042006.78,2303528059.91,5621115.1
+2022,5149386936.28,1666317752.73,8899349.83
+","year,EBIT利润率
+2020,42.11292200846209
+2021,37.136274931757626
+2022,32.53236012926626
+"
+CN,fundamental,首创证券2018-2022年的EBITDA利润率的最大值是？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,54.6797,medium,profitability,(利润总额 + 利息支出 + 折旧与摊销) / 营业收入 * 100%,"year,营业收入,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+2018,815247500.0,212748700.0,0.0,0.0,0.0,0.0
+2019,1339618763.5,586350268.45,0.0,3891464.3,8099721.34,2422383.38
+2020,1657983958.5,785487075.92,0.0,3540417.1,8682282.49,2524620.45
+2021,2113493479.32,1082654564.12,0.0,59712233.22,10268743.95,3016051.37
+2022,1587858078.75,664027019.62,0.0,67184843.83,13363559.57,10620116.4
+","year,EBITDA利润率
+2018,26.096210046642277
+2019,44.845881069954125
+2020,48.265508954862426
+2021,54.67968574153452
+2022,47.56064471545896
+"
+CN,fundamental,2021至2023年间，天合光能EBITDA利润率的最小值是多少？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,8.0396,medium,profitability,(利润总额 + 利息支出 + 折旧与摊销) / 营业收入 * 100%,"year,营业收入,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+2021,44480390071.81,2273659994.55,535400965.26,1230129576.12,48734037.46,14686084.13
+2022,85051792848.83,3984074330.15,646162715.57,2113161847.65,66629554.82,27803731.83
+2023,113410686218.03,6528221386.35,1353731718.42,2851712775.51,381346134.47,38729840.58
+","year,EBITDA利润率
+2021,9.223414297618945
+2022,8.039609690736887
+2023,9.834824413183721
+"
+CN,fundamental,歌尔股份的EBITDA利润率在2016到2020年的最大值是？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,15.7551,medium,profitability,(利润总额 + 利息支出 + 折旧与摊销) / 营业收入 * 100%,"year,营业收入,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+2016,19287807649.88,1904722233.58,0.0,704425734.5,183316871.27,25963749.41
+2017,25536136274.87,2500462072.48,231231730.78,1008800513.27,251011997.56,31744924.48
+2018,23750587785.28,993339247.04,229682638.22,1261654788.43,344554146.47,28594529.45
+2019,35147806427.74,1471544363.22,260686154.75,1544686881.07,408197462.6,38667738.61
+2020,57742742893.96,3221965281.62,276706601.19,1653795246.56,483117594.62,51298422.57
+","year,EBITDA利润率
+2016,14.612488054221831
+2017,15.755129105138996
+2018,12.03265104614045
+2019,10.594637272472992
+2020,9.848654327009566
+"
+CN,fundamental,对于海螺水泥的EBITDA利润率，其2017-2021年的最大值是多少？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,35.514,medium,profitability,(利润总额 + 利息支出 + 折旧与摊销) / 营业收入 * 100%,"year,营业收入,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+2017,75310819763.0,21228756052.0,683987845.0,4590277801.0,242898372.0,0.0
+2018,128402625696.0,39629195899.0,483381653.0,4647297969.0,306114858.0,0.0
+2019,157030328135.0,44556845259.0,446007016.0,4931627928.0,339335409.0,0.0
+2020,176294715308.0,47137334340.0,464541729.0,5019627399.0,445120168.0,0.0
+2021,167959692761.0,44113681749.0,333671845.0,5353307968.0,604883719.0,0.0
+","year,EBITDA利润率
+2017,35.51404719025539
+2018,35.09740562914664
+2019,32.015354109671904
+2020,30.1010858682228
+2021,30.01050100319313
+"
+CN,fundamental,计算中国联通在2016-2020年的EBITDA利润率的最大值。（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,33.4416,medium,profitability,(利润总额 + 利息支出 + 折旧与摊销) / 营业收入 * 100%,"year,营业收入,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+2016,274196782481.0,581260261.0,0.0,67072611371.0,4343979876.0,1064323536.0
+2017,274828946271.0,2377866816.0,5257314297.0,66461913614.0,4434805143.0,4552508219.0
+2018,290876776866.0,12075362887.0,1539367075.0,66305636396.0,5132967570.0,2136416482.0
+2019,290514554553.0,14035186382.0,1877622806.0,75476350533.0,4647512760.0,1116148078.0
+2020,303838070591.0,15959508916.0,1455970442.0,74509675347.0,5326560929.0,1437427468.0
+","year,EBITDA利润率
+2016,26.645890729612304
+2017,30.23131632105198
+2018,29.974806290626027
+2019,33.44163624038875
+2020,32.48083523899367
+"
+CN,fundamental,中国神华2016-2018年的净利率的平均值是？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,19.44,medium,profitability,净利润 / 营业收入 * 100%,"year,营业收入,净利润
+2016,183127000000.0,29536000000.0
+2017,248746000000.0,54050000000.0
+2018,264101000000.0,54041000000.0
+","year,净利率
+2016,16.128697570538478
+2017,21.728992627017117
+2018,20.46224739777585
+"
+CN,fundamental,2021至2023年间，中国铝业净利率的最大值是多少？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,5.5725,medium,profitability,净利润 / 营业收入 * 100%,"year,营业收入,净利润
+2021,298885350000.0,11316877000.0
+2022,290987942000.0,10843470000.0
+2023,225319044000.0,12555903000.0
+","year,净利率
+2021,3.7863605559790736
+2022,3.7264327605712264
+2023,5.572499677390785
+"
+CN,fundamental,中国能建的净利率在2018到2022年的平均值是？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.3715,medium,profitability,净利润 / 营业收入 * 100%,"year,营业收入,净利润
+2018,223781189905.48,8814133561.15
+2019,246916789106.26,9634114140.84
+2020,270327662000.0,8636943000.0
+2021,322318565000.0,9597544000.0
+2022,366395814000.0,10422184000.0
+","year,净利率
+2018,3.9387285253389193
+2019,3.9017655201623342
+2020,3.1949904556937274
+2021,2.9776578336404547
+2022,2.8445150304037043
+"
+CN,fundamental,对于迈瑞医疗的净利率，其2017-2021年的最大值是多少？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,31.6746,medium,profitability,净利润 / 营业收入 * 100%,"year,营业收入,净利润
+2017,11173795364.0,2601191059.0
+2018,13753357469.0,3725741910.0
+2019,16555991314.0,4684816799.0
+2020,21025846389.0,6659603292.0
+2021,25269580818.0,8004045870.0
+","year,净利率
+2017,23.27938694295923
+2018,27.089690051304228
+2019,28.296806335229512
+2020,31.673413610992974
+2021,31.674628588609462
+"
+CN,fundamental,计算中国东航在2020-2022年的净利率的平均值。（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-42.4338,medium,profitability,净利润 / 营业收入 * 100%,"year,营业收入,净利润
+2020,58639000000.0,-12554000000.0
+2021,67127000000.0,-13284000000.0
+2022,46305000000.0,-39870000000.0
+","year,净利率
+2020,-21.40895990722898
+2021,-19.78935450712828
+2022,-86.10301263362487
+"
+CN,fundamental,特变电工2022-2024年的净资产收益率的最小值是？（单位：%；按归属于母公司的计算；所有者权益按期末值计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,6.1395,medium,profitability,净利润 / 所有者权益 * 100%,"year,归属于母公司所有者的净利润,归属于母公司所有者权益合计
+2022,15914206088.19,57955188563.06
+2023,10702710662.39,62562749942.35
+2024,4143924869.81,67496588818.14
+","year,净资产收益率
+2022,27.459501871646985
+2023,17.10716148547223
+2024,6.13945821910381
+"
+CN,fundamental,2023至2025年间，华东医药净资产收益率的最小值是多少？（单位：%；按归属于母公司的计算；所有者权益按期末值计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,13.4878,medium,profitability,净利润 / 所有者权益 * 100%,"year,归属于母公司所有者的净利润,归属于母公司所有者权益合计
+2023,2838860542.8,21047609756.66
+2024,3512104678.06,23060051397.36
+2025,3414335326.41,24811339992.99
+","year,净资产收益率
+2023,13.48780491286766
+2024,15.230255204297066
+2025,13.761188744238154
+"
+CN,fundamental,恒瑞医药的净资产收益率在2018到2020年的平均值是？（单位：%；按归属于母公司的计算；所有者权益按期末值计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,20.9531,medium,profitability,净利润 / 所有者权益 * 100%,"year,归属于母公司所有者的净利润,归属于母公司所有者权益合计
+2018,4065609716.04,19728178442.95
+2019,5328027519.56,24775324520.14
+2020,6328383219.69,30504303351.44
+","year,净资产收益率
+2018,20.608135352166144
+2019,21.505379335107467
+2020,20.745870334361395
+"
+CN,fundamental,对于长春高新的净资产收益率，其2016-2020年的平均值是多少？（单位：%；按归属于母公司的计算；所有者权益按期末值计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,19.2449,medium,profitability,净利润 / 所有者权益 * 100%,"year,归属于母公司所有者的净利润,归属于母公司所有者权益合计
+2016,484852471.39,3899843579.16
+2017,661948769.32,4425843572.59
+2018,1006495359.46,5295049120.05
+2019,1775009197.07,8084342042.99
+2020,3046586145.21,10931005140.84
+","year,净资产收益率
+2016,12.432613297132136
+2017,14.956442957441176
+2018,19.008234610116247
+2019,21.956136784305475
+2020,27.871052167265592
+"
+CN,fundamental,计算中航光电在2020-2022年的净资产收益率的最大值。（单位：%；按归属于母公司的计算；所有者权益按期末值计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,15.618,medium,profitability,净利润 / 所有者权益 * 100%,"year,归属于母公司所有者的净利润,归属于母公司所有者权益合计
+2020,1439082431.84,9738984387.81
+2021,1990997442.19,14924496190.5
+2022,2717983277.92,17402833863.85
+","year,净资产收益率
+2020,14.776514413979932
+2021,13.340466684948094
+2022,15.618049906032406
+"
+CN,fundamental,陕西煤业2017-2019年的总资产收益率的最大值是？（单位：%；总资产按期末值计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,14.919,medium,profitability,净利润 / 总资产 * 100%,"year,净利润,资产合计
+2017,15725672965.81,105407208874.73
+2018,15929157536.05,120529634496.94
+2019,16630096066.64,128003963657.15
+","year,总资产收益率
+2017,14.918972937134686
+2018,13.215967676774468
+2019,12.991860245189432
+"
+CN,fundamental,2022至2024年间，东鹏饮料总资产收益率的最大值是多少？（单位：%；总资产按期末值计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,14.6692,medium,profitability,净利润 / 总资产 * 100%,"year,净利润,资产合计
+2022,1440520571.36,11869957079.5
+2023,2039772803.92,14710049912.67
+2024,3326429004.69,22676296132.9
+","year,总资产收益率
+2022,12.135853244556797
+2023,13.866525375710054
+2024,14.669190176361457
+"
+CN,fundamental,金山办公的总资产收益率在2017到2021年的最大值是？（单位：%；总资产按期末值计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,19.09,medium,profitability,净利润 / 总资产 * 100%,"year,净利润,资产合计
+2017,214337291.65,1279250942.16
+2018,310666603.13,1627379749.43
+2019,400579204.93,6843993486.59
+2020,886573819.74,8511586171.34
+2021,1068951661.99,10425669410.85
+","year,总资产收益率
+2017,16.754905905177136
+2018,19.08998826111809
+2019,5.853003888955883
+2020,10.416082289400407
+2021,10.253074597565327
+"
+CN,fundamental,对于中国化学的总资产收益率，其2023-2025年的最大值是多少？（单位：%；总资产按期末值计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.8611,medium,profitability,净利润 / 总资产 * 100%,"year,净利润,资产合计
+2023,5971408455.55,219115319747.0
+2024,6241871890.11,233421377309.4
+2025,7077046813.43,247353213805.61
+","year,总资产收益率
+2023,2.725235488985821
+2024,2.6740789391523467
+2025,2.8611097080758823
+"
+CN,fundamental,计算龙佰集团在2016-2020年的总资产收益率的最大值。（单位：%；总资产按期末值计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,12.4188,medium,profitability,净利润 / 总资产 * 100%,"year,净利润,资产合计
+2016,459312586.99,18048563627.76
+2017,2588874607.0,20846353820.17
+2018,2320237451.87,20923673048.52
+2019,2604547680.57,25942781551.31
+2020,2327928629.89,34771428954.42
+","year,总资产收益率
+2016,2.544870586175312
+2017,12.418836547306038
+2018,11.089054232923592
+2019,10.039585290492806
+2020,6.694946684364214
+"
+CN,fundamental,海尔智家2018-2022年的投入资本回报率的平均值是？（单位：%；投入资本用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,23.8321,medium,profitability,ROIC = NOPAT / 平均投入资本 * 100%；NOPAT = (利润总额 + 利息支出) × (1 - 所得税费用 / 利润总额)；投入资本 = 股东权益 + 有息负债（短期借款 + 长期借款 + 应付债券 + 一年内到期非流动负债 + 租赁负债 + 应付利息）- 金融资产（货币资金 + 交易性金融资产 + 其他权益工具投资 + 其他债权投资 + 债权投资 + 衍生金融资产 + 买入返售金融资产）,"year,利润总额,财务费用——利息费用,所得税费用,股东权益合计,短期借款,长期借款,应付债券,一年内到期的非流动负债,租赁负债,应付利息,货币资金,交易性金融资产,其他权益工具投资,其他债权投资,债权投资,衍生金融资产,买入返售金融资产
+2017,10503277210.05,1431139429.49,1474868894.11,47849204109.29,10878580275.18,16036492809.81,6211088362.68,6149302981.65,0.0,235683220.62,35825439039.22,20681695.5,0.0,0.0,0.0,0.0,0.0
+2018,11781495032.66,1465865741.36,1881843052.56,55807847518.91,6298504892.57,15541466325.22,9191896302.7,4655206739.98,0.0,104522208.28,38370916510.92,1775648387.76,1400316460.34,0.0,0.0,96723164.37,0.0
+2019,14630608797.96,1747107740.65,2296216280.86,64989860267.93,8585049237.18,13276452935.56,7004585761.43,7317138918.02,1980271767.35,49395752.93,36178815683.25,308135007.05,1395959878.92,0.0,0.0,19158132.45,0.0
+2020,13562278629.27,1327091393.08,2233126505.02,68132110258.96,7687908165.88,11821416259.81,6713501050.27,7522724913.4,2072702352.68,0.0,46467732459.51,2165192497.83,2659025265.54,0.0,0.0,77839006.63,0.0
+2021,15937513226.9,712462772.83,2705253855.89,81274593336.78,11226212134.39,3038573824.53,334730048.82,9624339170.46,1960894981.47,0.0,46097333903.45,2786075529.09,4851884944.63,0.0,0.0,79819974.01,0.0
+2022,17791135761.49,988036369.52,3057822871.71,94750332646.89,9672223522.36,13590866873.43,0.0,6294750667.08,2824477670.61,0.0,54162212155.31,519912880.91,5851882930.2,0.0,1034222222.22,183185160.51,0.0
+","year,投入资本回报率
+2018,21.94021708633471
+2019,23.959248377745087
+2020,21.102130103222432
+2021,26.027420005505114
+2022,26.131436785957735
+"
+CN,fundamental,2018至2022年间，中海油服投入资本回报率的平均值是多少？（单位：%；投入资本用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.957,medium,profitability,ROIC = NOPAT / 平均投入资本 * 100%；NOPAT = (利润总额 + 利息支出) × (1 - 所得税费用 / 利润总额)；投入资本 = 股东权益 + 有息负债（短期借款 + 长期借款 + 应付债券 + 一年内到期非流动负债 + 租赁负债 + 应付利息）- 金融资产（货币资金 + 交易性金融资产 + 其他权益工具投资 + 其他债权投资 + 债权投资 + 衍生金融资产 + 买入返售金融资产）,"year,利润总额,财务费用——利息费用,所得税费用,股东权益合计,短期借款,长期借款,应付债券,一年内到期的非流动负债,租赁负债,应付利息,货币资金,交易性金融资产,其他权益工具投资,其他债权投资,债权投资,衍生金融资产,买入返售金融资产
+2017,342265463.0,1091779951.0,261350015.0,34687485174.0,2286970000.0,1409174844.0,24495769466.0,563379640.0,0.0,368019990.0,9079035759.0,0.0,0.0,0.0,0.0,0.0,0.0
+2018,706328684.0,1072270640.0,617656702.0,34677405861.0,1374822860.0,787630650.0,21069891833.0,5069488848.0,0.0,0.0,3342403447.0,1749722574.0,0.0,0.0,0.0,0.0,0.0
+2019,3472174067.0,1071874123.0,944158798.0,36910277224.0,2443946195.0,201049392.0,17928478300.0,5016855358.0,547571865.0,0.0,3465791173.0,4511248067.0,0.0,0.0,0.0,0.0,0.0
+2020,3378739890.0,888127048.0,660424286.0,38688807570.0,2284335676.0,191145690.0,19455678032.0,3507952499.0,366303229.0,0.0,6587401135.0,5539401918.0,0.0,0.0,0.0,0.0,0.0
+2021,1089549291.0,817568814.0,767499795.0,38216329797.0,2232060693.0,180239029.0,11980462072.0,8483004434.0,568080244.0,0.0,5113285784.0,5703728211.0,0.0,0.0,0.0,0.0,0.0
+2022,2981478582.0,763602431.0,482274582.0,39975967381.0,5935041311.0,2365254280.0,12021877958.0,1327702644.0,569592576.0,0.0,4121251395.0,5106035953.0,0.0,0.0,0.0,0.0,0.0
+","year,投入资本回报率
+2018,0.39653040843492754
+2019,5.857781394012288
+2020,6.390341102478417
+2021,1.0923431748752217
+2022,6.048066390883617
+"
+CN,fundamental,中国海油的投入资本回报率在2020到2024年的最大值是？（单位：%；投入资本用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,29.8691,medium,profitability,ROIC = NOPAT / 平均投入资本 * 100%；NOPAT = (利润总额 + 利息支出) × (1 - 所得税费用 / 利润总额)；投入资本 = 股东权益 + 有息负债（短期借款 + 长期借款 + 应付债券 + 一年内到期非流动负债 + 租赁负债 + 应付利息）- 金融资产（货币资金 + 交易性金融资产 + 其他权益工具投资 + 其他债权投资 + 债权投资 + 衍生金融资产 + 买入返售金融资产）,"year,利润总额,财务费用——利息费用,所得税费用,股东权益合计,短期借款,长期借款,应付债券,一年内到期的非流动负债,租赁负债,应付利息,货币资金,交易性金融资产,其他权益工具投资,其他债权投资,债权投资,衍生金融资产,买入返售金融资产
+2019,85649273000.0,3069922600.0,24603814000.0,448226678900.0,1904502600.0,3684189100.0,132467893000.0,13432048000.0,7062273500.0,0.0,50838846900.0,114513323300.0,2935791900.0,0.0,1617403200.0,0.0,0.0
+2020,34907123600.0,3553966100.0,9951456200.0,433930656100.0,0.0,11058547800.0,113954836300.0,12512741000.0,6022609600.0,0.0,65830875600.0,61661584200.0,1829479300.0,0.0,3619267600.0,0.0,0.0
+2021,95821000000.0,3199000000.0,25514000000.0,481976000000.0,4303000000.0,11290000000.0,101603000000.0,12234000000.0,5712000000.0,0.0,79730000000.0,82440000000.0,2675000000.0,0.0,4483000000.0,0.0,0.0
+2022,194770000000.0,3129000000.0,53093000000.0,598383000000.0,4303000000.0,11287000000.0,91858000000.0,20387000000.0,6561000000.0,0.0,121387000000.0,88209000000.0,1075000000.0,0.0,5975000000.0,30000000.0,0.0
+2023,172974000000.0,2423000000.0,48884000000.0,667876000000.0,4365000000.0,11296000000.0,76912000000.0,19746000000.0,7858000000.0,0.0,150562000000.0,44304000000.0,886000000.0,0.0,8221000000.0,43000000.0,0.0
+2024,189976000000.0,2807000000.0,51994000000.0,749436000000.0,4303000000.0,5786000000.0,55457000000.0,18045000000.0,8296000000.0,0.0,154196000000.0,45771000000.0,18000000.0,0.0,8504000000.0,4000000.0,0.0
+","year,投入资本回报率
+2020,6.23919462270935
+2021,16.284190540419747
+2022,29.869094498406636
+2023,22.87495019204761
+2024,23.013321919703408
+"
+CN,fundamental,对于长江电力的投入资本回报率，其2019-2023年的最小值是多少？（单位：%；投入资本用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,7.5008,medium,profitability,ROIC = NOPAT / 平均投入资本 * 100%；NOPAT = (利润总额 + 利息支出) × (1 - 所得税费用 / 利润总额)；投入资本 = 股东权益 + 有息负债（短期借款 + 长期借款 + 应付债券 + 一年内到期非流动负债 + 租赁负债 + 应付利息）- 金融资产（货币资金 + 交易性金融资产 + 其他权益工具投资 + 其他债权投资 + 债权投资 + 衍生金融资产 + 买入返售金融资产）,"year,利润总额,财务费用——利息费用,所得税费用,股东权益合计,短期借款,长期借款,应付债券,一年内到期的非流动负债,租赁负债,应付利息,货币资金,交易性金融资产,其他权益工具投资,其他债权投资,债权投资,衍生金融资产,买入返售金融资产
+2018,27007106151.64,5922238642.38,4363554880.4,142684553067.03,12700000000.0,26000000000.0,34265894787.06,15297687123.29,0.0,685700683.53,5336881040.54,0.0,0.0,0.0,0.0,0.0,0.0
+2019,26627011754.79,5200957545.39,5059564654.6,150015966524.98,21308000000.0,24600000000.0,43794792492.21,2499762842.57,0.0,897073966.87,7323452880.02,0.0,4432380427.04,0.0,1148277903.43,0.0,0.0
+2020,32455540794.12,5166955172.6,5949278995.3,178321606475.74,24057628342.5,14447141791.44,37527057075.03,23924325034.79,0.0,1091987201.14,9231213791.79,0.0,3609195163.56,0.0,1139169084.08,0.0,0.0
+2021,32409344174.68,4802658407.18,5923900313.19,190288222888.7,12315812640.0,36439373166.26,33978897510.99,17440128682.74,639176461.52,1022278878.81,9929980061.69,0.0,3457356904.37,0.0,1014594368.22,0.0,0.0
+2022,29766058660.04,9801292339.97,4664143516.41,256017409137.19,26752360688.1,190246706722.4,37620231630.91,26642382136.83,620996116.15,0.0,10638044864.92,0.0,3312302551.08,0.0,1034000503.9,0.0,0.0
+2023,32424047365.38,12742363848.41,4456576598.1,212540605816.5,53985432819.58,187007685859.59,25835606999.89,48070386122.18,592017629.31,0.0,7823650159.5,0.0,3270244969.53,0.0,1052752691.2,21113693.72,0.0
+","year,投入资本回报率
+2019,11.294484847557593
+2020,12.399508975455268
+2021,11.198517958341208
+2022,8.335208356538502
+2023,7.500808683199817
+"
+CN,fundamental,计算上汽集团在2018-2022年的投入资本回报率的最大值。（单位：%；投入资本用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,25.6176,medium,profitability,ROIC = NOPAT / 平均投入资本 * 100%；NOPAT = (利润总额 + 利息支出) × (1 - 所得税费用 / 利润总额)；投入资本 = 股东权益 + 有息负债（短期借款 + 长期借款 + 应付债券 + 一年内到期非流动负债 + 租赁负债 + 应付利息）- 金融资产（货币资金 + 交易性金融资产 + 其他权益工具投资 + 其他债权投资 + 债权投资 + 衍生金融资产 + 买入返售金融资产）,"year,利润总额,财务费用——利息费用,所得税费用,股东权益合计,短期借款,长期借款,应付债券,一年内到期的非流动负债,租赁负债,应付利息,货币资金,交易性金融资产,其他权益工具投资,其他债权投资,债权投资,衍生金融资产,买入返售金融资产
+2017,54261012599.34,1394188937.34,7144915087.15,272105816798.32,15717398963.92,6894020462.22,7071853349.24,16936763752.55,0.0,610559018.57,121611119762.58,4795191451.72,0.0,0.0,0.0,0.0,630960113.64
+2018,54343849830.93,1863096729.92,5939186429.07,284720225477.97,16726440287.46,19157930619.58,13374792430.97,14613907051.5,0.0,962428254.89,123771376378.5,26561958372.83,0.0,0.0,0.0,0.0,664270025.14
+2019,40957792203.69,2025928206.43,5668885296.06,300839624341.71,25587986199.99,19136965849.72,16161761950.51,26838165703.07,0.0,104301970.97,127826836682.25,49796599024.47,18281876133.32,610824643.23,391919940.49,0.0,13542369331.38
+2020,35891624675.43,2179748060.66,6703573806.26,310041311883.58,23628641424.02,23608251949.74,23492143054.46,23426546440.17,0.0,82815028.04,142564970359.58,54800863245.58,20698468429.89,4640259677.07,408000000.0,0.0,9279407143.96
+2021,41557659388.79,2106125643.96,7615900531.24,328770730555.1,27849482034.01,26911400207.33,19397207883.47,25697132489.5,8345840696.76,136379101.06,138525924732.66,53883499373.59,22543932882.53,34252527.1,399394000.0,0.0,5881850702.79
+2022,28071080464.14,2706128980.08,5228427640.03,336300236944.68,38337475598.51,34555464051.99,15122421304.69,39543710127.34,10746800774.69,71057893.27,155156629467.12,45230022623.99,17194589995.63,843316530.0,24039000000.0,0.0,4619815075.3
+","year,投入资本回报率
+2018,25.617609895717713
+2019,19.658567092932085
+2020,17.686455470302647
+2021,18.395370043413237
+2022,11.295839849168491
+"
+CN,fundamental,中国石油2020-2022年的存货周转天数的最小值是？（存货用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,22.4954,medium,operational efficiency,平均存货 / 营业成本 * 365,"year,营业成本,存货
+2019,2002403000000.0,181921000000.0
+2020,1546604000000.0,128539000000.0
+2021,2071504000000.0,143848000000.0
+2022,2527935000000.0,167751000000.0
+","year,存货周转天数
+2020,36.63442613623138
+2021,23.997360130610417
+2022,22.495363804844665
+"
+CN,fundamental,2018至2022年间，山金国际存货周转天数的平均值是多少？（存货用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,67.5207,medium,operational efficiency,平均存货 / 营业成本 * 365,"year,营业成本,存货
+2017,1229253989.81,428674370.33
+2018,3394136966.06,664976474.85
+2019,3594022517.54,1064917555.82
+2020,5747473473.73,1026982033.15
+2021,6771001162.75,1028330998.21
+2022,6301963158.77,1359012390.21
+","year,存货周转天数
+2018,58.804721565800754
+2019,87.84187051041795
+2020,66.4242604567016
+2021,55.39721810812061
+2022,69.13562605968752
+"
+CN,fundamental,东鹏饮料的存货周转天数在2020到2024年的最大值是？（存货用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,34.1695,medium,operational efficiency,平均存货 / 营业成本 * 365,"year,营业成本,存货
+2019,2241719259.55,214228141.42
+2020,2783879604.64,272701291.47
+2021,3881564792.57,340036039.63
+2022,4905461328.73,394219877.51
+2023,6411653760.11,568601205.75
+2024,8741561002.65,1068083706.94
+","year,存货周转天数
+2020,31.92114391524364
+2021,28.80914499734796
+2022,27.31684053714524
+2023,27.405542200072794
+2024,34.16952606924276
+"
+CN,fundamental,对于上汽集团的存货周转天数，其2019-2021年的最大值是多少？（存货用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,34.3472,medium,operational efficiency,平均存货 / 营业成本 * 365,"year,营业成本,存货
+2018,769985822499.66,58942623891.76
+2019,726100213388.33,54398633356.34
+2020,657765544632.29,69395466035.32
+2021,686742792553.92,56635907090.04
+","year,存货周转天数
+2019,28.4874994751113
+2020,34.3472280105638
+2021,33.49248924745328
+"
+CN,fundamental,计算华润三九在2017-2021年的存货周转天数的最小值。（存货用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,93.8695,medium,operational efficiency,平均存货 / 营业成本 * 365,"year,营业成本,存货
+2016,3362266251.05,904794780.95
+2017,3907741538.86,1105164703.74
+2018,4160362392.71,1533418471.07
+2019,4887110997.41,1457870502.73
+2020,5119615428.91,1761595569.08
+2021,6354125533.89,2368971675.92
+","year,存货周转天数
+2017,93.8694645764459
+2018,115.74506832544361
+2019,111.70407997850134
+2020,114.76497917938708
+2021,118.6360763872107
+"
+CN,fundamental,澜起科技2020-2024年的应收账款周转天数的最小值是？（使用应收票据及应收账款，用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,18.5124,medium,operational efficiency,平均应收票据及应收账款 / 营业收入 * 365,"year,营业收入,应收票据及应收账款
+2019,1737734714.98,131864815.09
+2020,1823665555.45,87452560.75
+2021,2562017472.42,172433036.57
+2022,3672258476.69,322378580.41
+2023,2285738498.23,294253723.4
+2024,3638911068.29,387791885.96
+","year,应收账款周转天数
+2020,21.94778585973978
+2021,18.51241141852946
+2022,24.59062200334138
+2023,49.233713975797606
+2024,34.20620107836067
+"
+CN,fundamental,2020至2024年间，大全能源应收账款周转天数的最大值是多少？（使用应收票据及应收账款，用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,86.7808,medium,operational efficiency,平均应收票据及应收账款 / 营业收入 * 365,"year,营业收入,应收票据及应收账款
+2019,2426085064.63,1161385370.17
+2020,4664256098.09,1056522037.41
+2021,10831866667.19,3039078655.86
+2022,30940306443.79,1204342441.85
+2023,16329081480.55,11709286.87
+2024,7410518431.16,133625.0
+","year,应收账款周转天数
+2020,86.78084851496499
+2021,69.00446151038872
+2022,25.02962767156138
+2023,13.591054754411386
+2024,0.29165724859234676
+"
+CN,fundamental,TCL中环的应收账款周转天数在2020到2024年的最大值是？（使用应收票据及应收账款，用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,65.606,medium,operational efficiency,平均应收票据及应收账款 / 营业收入 * 365,"year,营业收入,应收票据及应收账款
+2019,16886971336.01,3370718436.09
+2020,19056776100.59,2479599416.71
+2021,41104685048.73,3192200492.21
+2022,67010157024.98,3931901004.79
+2023,59146463192.95,5416144315.82
+2024,28418504235.63,4799885316.35
+","year,应收账款周转天数
+2020,56.02642348843803
+2021,25.182129048082345
+2022,19.402260506833784
+2023,28.843960888174887
+2024,65.60603585650655
+"
+CN,fundamental,对于龙芯中科的应收账款周转天数，其2023-2025年的最小值是多少？（使用应收票据及应收账款，用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,288.1387,medium,operational efficiency,平均应收票据及应收账款 / 营业收入 * 365,"year,营业收入,应收票据及应收账款
+2022,738657855.87,676863107.4
+2023,505694383.12,535327420.67
+2024,504257187.54,509348666.2
+2025,635320567.72,493722395.48
+","year,应收账款周转天数
+2023,437.46732959119873
+2024,378.0875921350184
+2025,288.1387413814672
+"
+CN,fundamental,计算国轩高科在2021-2025年的应收账款周转天数的最大值。（使用应收票据及应收账款，用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,244.9067,medium,operational efficiency,平均应收票据及应收账款 / 营业收入 * 365,"year,营业收入,应收票据及应收账款
+2020,6724233230.56,7013992125.93
+2021,10356081191.76,6883399620.03
+2022,23051701484.6,8736666823.74
+2023,31605490020.32,13039974523.1
+2024,35391817095.44,16834245582.61
+2025,45070461822.87,19541102285.58
+","year,应收账款周转天数
+2021,244.90673128902574
+2022,123.66384875721424
+2023,125.74514880937326
+2024,154.04818448823116
+2025,147.29161223229613
+"
+CN,fundamental,云南白药2020-2024年的应付账款周转天数的平均值是？（使用应付票据及应付账款，用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,87.2857,medium,operational efficiency,平均应付票据及应付账款 / 营业成本 * 365,"year,营业成本,应付票据及应付账款
+2019,21191364351.4,6243933267.95
+2020,23655878134.56,6315578513.7
+2021,26498435121.98,6437561501.8
+2022,26883485305.46,6631169233.41
+2023,28744517640.29,6210495955.98
+2024,28864766205.1,6672055088.28
+","year,应付账款周转天数
+2020,96.89392577663268
+2021,87.83341514752965
+2022,88.7177883401683
+2023,81.53220472827633
+2024,81.45105173801994
+"
+CN,fundamental,2020至2022年间，阳光电源应付账款周转天数的最大值是多少？（使用应付票据及应付账款，用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,290.3703,medium,operational efficiency,平均应付票据及应付账款 / 营业成本 * 365,"year,营业成本,应付票据及应付账款
+2019,9906843318.02,9338066084.28
+2020,14836768931.09,12091968931.65
+2021,18765234741.08,17764837612.04
+2022,30375806550.32,25925989201.23
+","year,应付账款周转天数
+2020,263.60061335267426
+2021,290.3703188052858
+2022,262.49758603818134
+"
+CN,fundamental,华能水电的应付账款周转天数在2017到2021年的最小值是？（使用应付票据及应付账款，用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.9062,medium,operational efficiency,平均应付票据及应付账款 / 营业成本 * 365,"year,营业成本,应付票据及应付账款
+2016,6427994554.17,237306134.4
+2017,6740372964.64,173407847.13
+2018,7615809533.75,130439743.03
+2019,9134849012.27,109052493.5
+2020,9016904541.6,83942393.84
+2021,10408608957.03,295774107.07
+","year,应付账款周转天数
+2017,11.120349277768536
+2018,7.281193805919083
+2019,4.784680415408833
+2020,3.9061705463391907
+2021,6.657783158360539
+"
+CN,fundamental,对于纳思达的应付账款周转天数，其2020-2022年的最小值是多少？（使用应付票据及应付账款，��期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,93.6097,medium,operational efficiency,平均应付票据及应付账款 / 营业成本 * 365,"year,营业成本,应付票据及应付账款
+2019,15017780128.69,4352679726.92
+2020,14258337906.68,3416162460.55
+2021,15015705643.77,4308739103.09
+2022,17422656594.98,4627858220.25
+","year,应付账款周转天数
+2020,99.43751568329941
+2021,93.88799759465331
+2022,93.60966294769712
+"
+CN,fundamental,计算汇川技术在2023-2025年的应付账款周转天数的最小值。（使用应付票据及应付账款，用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,191.878,medium,operational efficiency,平均应付票据及应付账款 / 营业成本 * 365,"year,营业成本,应付票据及应付账款
+2022,14953209039.99,9330073513.08
+2023,20583517306.08,12311160058.17
+2024,26409403681.63,16998335109.43
+2025,32044938847.24,21683169421.23
+","year,应付账款周转天数
+2023,191.8780482472015
+2024,202.54084236698137
+2025,220.29608514773207
+"
+CN,fundamental,海天味业2022-2024年的营业周期的最小值是？（计算应收账款周转天数时，使用应收票据及应收账款；存货和应收票据及应收账款都用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,52.9123,medium,operational efficiency,存货周转天数 + 应收账款周转天数,"year,营业成本,存货,营业收入,应收票据及应收账款
+2021,15336858254.4,2226818960.68,25004031043.49,56045139.23
+2022,16471824416.06,2391641182.47,25609651543.29,188395321.48
+2023,16028535574.92,2618773147.0,24559312356.59,223149082.18
+2024,16956814477.84,2525279032.45,26904508894.01,242631796.36
+","year,营业周期
+2022,52.91228370022073
+2023,60.106476600478686
+2024,58.52306248730092
+"
+CN,fundamental,2018至2020年间，美的集团营业周期的最大值是多少？（计算应收账款周转天数时，使用应收票据及应收账款；存货和应收票据及应收账款都用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,99.7116,medium,operational efficiency,存货周转天数 + 应收账款周转天数,"year,营业成本,存货,营业收入,应收票据及应收账款
+2017,180460552000.0,29444166000.0,240712301000.0,28382943000.0
+2018,188164557000.0,29645018000.0,259664820000.0,31946468000.0
+2019,197913928000.0,32443399000.0,278216017000.0,23432339000.0
+2020,216798413000.0,31076529000.0,284221249000.0,28282873000.0
+","year,营业周期
+2018,99.7116146893055
+2019,93.5794135182001
+2020,86.6774276179505
+"
+CN,fundamental,康龙化成的营业周期在2023到2025年的最大值是？（计算应收账款周转天数时，使用应收票据及应收账款；存货和应收票据及应收账款都用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,117.9325,medium,operational efficiency,存货周转天数 + 应收账款周转天数,"year,营业成本,存货,营业收入,应收票据及应收账款
+2022,6497890211.79,1041461328.57,10266288179.53,1881882496.4
+2023,7413512033.14,1013079365.83,11537996314.78,2242153239.78
+2024,8072643718.49,1116665159.58,12275774875.03,2413629026.39
+2025,9185448198.69,1472304694.15,14095078734.95,2721912774.12
+","year,营业周期
+2023,115.80819320117459
+2024,117.36361317068685
+2025,117.9325170611238
+"
+CN,fundamental,对于士兰微的营业周期，其2020-2024年的平均值是多少？（计算应收账款周转天数时，使用应收票据及应收账款；存货和应收票据及应收账款都用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,240.0908,medium,operational efficiency,存货周转天数 + 应收账款周转天数,"year,营业成本,存货,营业收入,应收票据及应收账款
+2019,2504805451.16,1421591855.7,3110573827.93,938393433.35
+2020,3330862165.54,1387913442.68,4280561779.48,1309921908.91
+2021,4806451224.77,1912945675.71,7194148249.93,1814213674.72
+2022,5843247715.36,3071792623.2,8282201633.03,2143661805.78
+2023,7264794969.37,3732034122.17,9339537962.75,2446100013.62
+2024,9078706149.73,3898943000.18,11220869038.95,3036714245.95
+","year,营业周期
+2020,249.7905391844594
+2021,204.58553711171783
+2022,242.89908454653985
+2023,260.60656191691896
+2024,242.57211620769232
+"
+CN,fundamental,计算中油资本在2019-2023年的营业周期的最大值。（计算应收账款周转天数时，使用应收票据及应收账款；存货和应收票据及应收账款都用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,15.2717,medium,operational efficiency,存货周转天数 + 应收账款周转天数,"year,营业成本,存货,营业收入,应收票据及应收账款
+2018,463251674.69,0.0,627329984.72,33601800.03
+2019,570704960.16,0.0,794507497.3,32883070.91
+2020,526678971.44,0.0,819256875.23,20000700.44
+2021,499228029.1,0.0,738524708.15,16968826.44
+2022,550950598.63,0.0,745101737.06,32643675.53
+2023,585697382.43,0.0,770342135.1,23983023.46
+","year,营业周期
+2019,15.271711076086282
+2020,11.780539856519942
+2021,9.135697940968072
+2022,12.15173869443804
+2023,13.41530223364125
+"
+CN,fundamental,海大集团2019-2023年的现金周转期的平均值是？（计算应收账款周转天数时，使用应收票据及应收账款；计算应付账款周转天数时，使用应付票据及应付账款；存货、应收票据及应收账款和应付票据及应付账款都用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,25.4585,medium,operational efficiency,存货周转天数 + 应收账款周转天数 - 应付账款周转天数,"year,营业成本,存货,营业收入,应收票据及应收账款,应付票据及应付账款
+2018,37615586184.77,4843780132.17,42156628800.11,1106645567.06,1512857075.94
+2019,42223411917.1,4463319035.43,47612587464.5,1032473833.88,1917055340.85
+2020,53291779659.43,7255350539.93,60323862405.94,1085135693.3,2060550537.54
+2021,78792870336.77,8970187858.27,86091961539.13,1303231224.49,4458795316.62
+2022,95003580100.23,12625081651.36,104715417485.92,1958909485.09,8843387954.58
+2023,106280618465.68,9935863743.13,116117168742.97,2069035180.36,10640909381.03
+","year,现金周转期
+2019,33.60193809229886
+2020,32.91608880535344
+2021,27.544400357573963
+2022,21.616174995349066
+2023,11.6137467045247
+"
+CN,fundamental,2017至2019年间，新希望现金周转期的最小值是多少？（计算应收账款周转天数时，使用应收票据及应收账款；计算应付账款周转天数时，使用应付票据及应付账款；存货、应收票据及应收账款和应付票据及应付账款都用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,11.4805,medium,operational efficiency,存货周转天数 + 应收账款周转天数 - 应付账款周转天数,"year,营业成本,存货,营业收入,应收票据及应收账款,应付票据及应付账款
+2016,56027485134.96,4281734018.54,60879523157.4,533861673.93,2984442097.83
+2017,57468202720.11,5111365550.39,62566848592.71,558632435.33,3326458699.42
+2018,63033328796.12,5394870914.2,69063225293.92,631689339.61,4300927958.83
+2019,72150061066.97,9307812126.89,82050539486.67,958141417.72,5512731289.21
+","year,现金周转期
+2017,12.974718038539223
+2018,11.48054837130482
+2019,15.902706515057869
+"
+CN,fundamental,恒立液压的现金周转期在2018到2022年的平均值是？（计算应收账款周转天数时，使用应收票据及应收账款；计算应付账款周转天数时，使用应付票据及应付账款；存货、应收票据及应收账款和应付票据及应付账款都用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,103.5631,medium,operational efficiency,存货周转天数 + 应收账款周转天数 - 应付账款周转天数,"year,营业成本,存货,营业收入,应收票据及应收账款,应付票据及应付账款
+2017,1877957513.26,820841073.75,2795211617.28,990379999.79,509165274.85
+2018,2670710768.11,1049682737.14,4210975401.85,1328319763.41,691041150.12
+2019,3369400383.4,997224172.42,5414021975.86,1051770755.73,791321142.39
+2020,4391049320.56,1217028164.13,7855038369.93,1764518515.59,1130664225.67
+2021,5211940603.42,1606653422.76,9309218098.53,1507948966.13,1188012759.68
+2022,4872676485.9,1765545027.07,8196713892.3,1592561625.52,1322800524.7
+","year,现金周转期
+2018,146.29580525645073
+2019,110.80787514239556
+2020,77.57939164498781
+2021,81.83730063167484
+2022,101.295034222242
+"
+CN,fundamental,对于润泽科技的现金周转期，其2023-2025年的最小值是多少？（计算应收账款周转天数时，使用应收票据及应收账款；计算应付账款周转天数时，使用应付票据及应付账款；存货、应收票据及应收账款和应付票据及应付账款都用期初期末平均值；一年按365天计算）按中国会计准则，写出���标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-126.9547,medium,operational efficiency,存货周转天数 + 应收账款周转天数 - 应付账款周转天数,"year,营业成本,存货,营业收入,应收票据及应收账款,应付票据及应付账款
+2022,1272888905.93,1533233.13,2714740688.79,375099485.56,1098431549.52
+2023,2237512682.12,769647362.89,4350788339.36,1064149033.24,1969430129.81
+2024,2229132907.34,1770105777.7,4364829477.47,1098084479.19,1738269218.64
+2025,3061242889.57,43589789.57,5673679683.8,1731714755.91,2829863682.05
+","year,现金周转期
+2023,-126.95467416177904
+2024,-5.214028791582109
+2025,-73.18585404359908
+"
+CN,fundamental,计算宁德时代在2021-2025年的现金周转期的最小值。（计算应收账款周转天数时，使用应收票据及应收账款；计算应付账款周转天数时，使用应付票据及应付账款；存货、应收票据及应收账款和应付票据及应付账款都用期初期末平均值；一年按365天计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-126.3517,medium,operational efficiency,存货周转天数 + 应收账款周转天数 - 应付账款周转天数,"year,营业成本,存货,营业收入,应收票据及应收账款,应付票据及应付账款
+2020,36349153600.0,13224641000.0,50319487700.0,21170680000.0,31271433800.0
+2021,96093722300.0,40199691900.0,130355796400.0,25217376200.0,107190037600.0
+2022,262049609200.0,76668898800.0,328593987500.0,61492600600.0,220764444200.0
+2023,323982130000.0,45433890000.0,400917045000.0,65772258000.0,194553715000.0
+2024,273518959000.0,59835533000.0,362012554000.0,64265913000.0,198333731000.0
+2025,312383297000.0,94526239000.0,423701834000.0,77783280000.0,263605961000.0
+","year,现金周转期
+2021,-96.55752433431715
+2022,-98.84875336295786
+2023,-107.23722544091328
+2024,-126.35167137743088
+2025,-118.50812826502869
+"
+CN,fundamental,晶盛机电2017-2021年的存货周转率的最大值是？（存货用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.7272,medium,operational efficiency,营业成本 / 平均存货,"year,营业成本,存货
+2016,667221498.95,346621090.55
+2017,1201368603.66,1044510783.51
+2018,1533912065.02,1451345326.94
+2019,2004333958.01,1389164665.71
+2020,2415788304.32,2580364786.45
+2021,3593119836.91,6050838940.64
+","year,存货周转率
+2017,1.7271814787103135
+2018,1.2291670650384068
+2019,1.4112493624006544
+2020,1.2171660814888077
+2021,0.8325883504829322
+"
+CN,fundamental,2019至2023年间，上汽集团存货周转率的最大值是多少？（存货用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,12.8126,medium,operational efficiency,营业成本 / 平均存货,"year,营业成本,存货
+2018,769985822499.66,58942623891.76
+2019,726100213388.33,54398633356.34
+2020,657765544632.29,69395466035.32
+2021,686742792553.92,56635907090.04
+2022,651700777153.06,88535001044.3
+2023,657301172463.53,98603705752.11
+","year,存货周转率
+2019,12.81263735762031
+2020,10.626767315480041
+2021,10.897965729070261
+2022,8.978393612444462
+2023,7.0247484736400825
+"
+CN,fundamental,同仁堂的存货周转率在2022到2024年的最小值是？（存货用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0385,medium,operational efficiency,营业成本 / 平均存货,"year,营业成本,存货
+2021,7648481567.87,6169091993.17
+2022,7870132037.3,6694368428.37
+2023,9414070490.87,9340164542.46
+2024,10421121147.37,10729860618.04
+","year,存货周转率
+2022,1.2236415053792804
+2023,1.1742244701477824
+2024,1.0384761418117108
+"
+CN,fundamental,对于浪潮信息的存货周转率，其2019-2021年的平均值是多少？（存货用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,4.895,medium,operational efficiency,营业成本 / 平均存货,"year,营业成本,存货
+2018,41767056951.49,8216716657.16
+2019,45468314028.26,8567621303.4
+2020,55660508811.34,10943256465.72
+2021,59379318169.68,22402228567.57
+","year,存货周转率
+2019,5.417945484069957
+2020,5.7055873620851925
+2021,3.561460756105331
+"
+CN,fundamental,计算润泽科技在2018-2020年的存货周转率的平均值。（存货用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.8561,medium,operational efficiency,营业成本 / 平均存货,"year,营业成本,存货
+2017,509400013.75,439732695.11
+2018,476827327.86,493689907.82
+2019,481445071.38,587166466.67
+2020,385218888.5,587865855.28
+","year,存货周转率
+2018,1.0216751262788064
+2019,0.890858550206856
+2020,0.6556736888066503
+"
+CN,fundamental,中国中铁2020-2024年的应收账款周转率的平均值是？（使用应收票据及应收账款，用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,8.292,medium,operational efficiency,营业收入 / 平均应收票据及应收账款,"year,营业收入,应收票据及应收账款
+2019,848440346000.0,107003903000.0
+2020,971404889000.0,113414187000.0
+2021,1070417452000.0,127070031000.0
+2022,1151501114000.0,124569121000.0
+2023,1260841083000.0,158728945000.0
+2024,1157439041000.0,248060354000.0
+","year,应收账款周转率
+2020,8.81420294495792
+2021,8.902184608222399
+2022,9.152002817113292
+2023,8.901162657425271
+2024,5.690607121894817
+"
+CN,fundamental,2017至2019年间，上海医药应收账款周转率的最大值是多少？（使用应收票据及应收账款，用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,4.2646,medium,operational efficiency,营业收入 / 平均应收票据及应收账款,"year,营业收入,应收票据及应收账款
+2016,120764660339.93,28879288210.0
+2017,130847181884.59,32485357133.37
+2018,159084396948.33,42439170565.53
+2019,186565796464.05,47613923081.91
+","year,应收账款周转率
+2017,4.264578770150982
+2018,4.246523850978258
+2019,4.143462237831818
+"
+CN,fundamental,中国动力的应收账款周转率在2018到2020年的最小值是？（使用应收票据及应收账款，用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.9494,medium,operational efficiency,营业收入 / 平均应收票据及应收账款,"year,营业收入,应收票据及应收账款
+2017,27512638049.02,12981459011.58
+2018,29661528137.69,16923926408.57
+2019,29691241619.67,13538097771.45
+2020,27014189410.93,14028622051.99
+","year,应收账款周转率
+2018,1.9836914135006805
+2019,1.9493938711495373
+2020,1.959913227540392
+"
+CN,fundamental,对于三环集团的应收账款周转率，其2019-2021年的最大值是多少？（使用应收票据及应收账款，用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.8182,medium,operational efficiency,营业收入 / 平均应收票据及应收账款,"year,营业收入,应收票据及应收账款
+2018,3750072862.64,1546611646.68
+2019,2726451719.14,874651680.89
+2020,3993974641.28,1217398131.01
+2021,6218042006.78,2139811009.17
+","year,应收账款周转率
+2019,2.2520902110026086
+2020,3.818240482192603
+2021,3.7042923137321213
+"
+CN,fundamental,计算万泰生物在2018-2022年的应收账款周转率的平均值。（使用应收票据及应收账款，用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,4.5311,medium,operational efficiency,营业收入 / 平均应收票据及应收账款,"year,营业收入,应收票据及应收账款
+2017,949524531.26,195368890.48
+2018,982686707.83,192822657.24
+2019,1183754229.77,261393436.05
+2020,2354256829.93,698622943.0
+2021,5750329074.69,2268002235.21
+2022,11185188715.34,3947567482.55
+","year,应收账款周转率
+2018,5.062895952277691
+2019,5.212295412942214
+2020,4.904618048828904
+2021,3.876680557373027
+2022,3.599087203021826
+"
+CN,fundamental,爱尔眼科2017-2019年的应付账款周转率的平均值是？（使用应付票据及应付账款，用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,5.2594,medium,operational efficiency,营业成本 / 平均应付票据及应付账款,"year,营业成本,应付票据及应付账款
+2016,2155808524.32,420413985.11
+2017,3203073078.98,710619969.03
+2018,4244808442.05,942611978.67
+2019,5064552673.84,1091675823.28
+","year,应付账款周转率
+2017,5.6639733356466895
+2018,5.135163820122687
+2019,4.979189934664397
+"
+CN,fundamental,2018至2022年间，五粮液应付账款周转率的最大值是多少？（使用应付票据及应付账款，用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.7865,medium,operational efficiency,营业成本 / 平均应付票据及应付账款,"year,营业成本,应付票据及应付账款
+2017,8450087271.36,3767584112.15
+2018,10486782934.27,3566293179.83
+2019,12802259947.34,3677158401.17
+2020,14811961478.65,4146504038.55
+2021,16318778588.82,6275601632.82
+2022,18178425659.64,8134773086.11
+","year,应付账款周转率
+2018,2.859819578857115
+2019,3.5348507004370906
+2020,3.7864520850109944
+2021,3.1315703569670053
+2022,2.522963630607072
+"
+CN,fundamental,中航成飞的应付账款周转率在2023到2025年的最大值是？（使用应付票据及应付账款，用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.0836,medium,operational efficiency,营业成本 / 平均应付票据及应付账款,"year,营业成本,应付票据及应付账款
+2022,1214672051.59,747231065.26
+2023,1138811873.05,747581545.96
+2024,58026714685.2,54949613833.24
+2025,68984052885.87,67367217878.42
+","year,应付账款周转率
+2023,1.523685128827689
+2024,2.0836494293883225
+2025,1.1279568301521663
+"
+CN,fundamental,对于华能国际的应付账款周转率，其2017-2021年的最大值是多少？（使用应付票据及应付账款，用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,9.9323,medium,operational efficiency,营业成本 / 平均应付票据及应付账款,"year,营业成本,应付票据及应付账款
+2016,108075195240.0,15154285002.0
+2017,135661915334.0,15653690854.0
+2018,150659436086.0,14683707047.0
+2019,148251680605.0,15861954550.0
+2020,139881388454.0,15777784395.0
+2021,205542199513.0,25774238211.0
+","year,应付账款周转率
+2017,8.806934669651735
+2018,9.932258302287282
+2019,9.706889479818
+2020,8.842132907427501
+2021,9.893246423259322
+"
+CN,fundamental,计算大秦铁路在2019-2021年的应付账款周转率的最小值。（使用应付票据及应付账款，用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,13.3811,medium,operational efficiency,营业成本 / 平均应付票据及应付账款,"year,营业成本,应付票据及应付账款
+2018,58902291578.0,5648014389.0
+2019,61704290689.0,3236504669.0
+2020,58529021273.0,3261297585.0
+2021,61508590683.0,5932051774.0
+","year,应付账款周转率
+2019,13.890293956528536
+2020,18.015020767050878
+2021,13.381105901906148
+"
+CN,fundamental,科伦药业2018-2020年的总资产周转率的平均值是？（总资产按期初期末平均值计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.5563,medium,operational efficiency,营业收入 / 平均总资产,"year,营业收入,资产合计
+2017,11434948841.0,27988160462.0
+2018,16351790239.0,29360882983.0
+2019,17636267044.0,31485373711.0
+2020,16464201277.0,31983345963.0
+","year,总资产周转率
+2018,0.5702550297872715
+2019,0.5796993275262272
+2020,0.5188130897099086
+"
+CN,fundamental,2019至2023年间，中远海能总资产周转率的最小值是多少？（总资产按期初期末平均值计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.2026,medium,operational efficiency,营业收入 / 平均总资产,"year,营业收入,资产合计
+2018,12286002132.16,63416267446.09
+2019,13880075062.56,65841861904.73
+2020,16384757725.42,65959856524.45
+2021,12698667710.66,59388937772.69
+2022,18657843200.85,68250453937.9
+2023,22733056873.94,73429796776.61
+","year,总资产周转率
+2019,0.21476521642809843
+2020,0.24862737634523174
+2021,0.2026133204051048
+2022,0.2923524305592878
+2023,0.3209065026253771
+"
+CN,fundamental,青岛啤酒的总资产周转率在2021到2025年的最小值是？（总资产按期初期末平均值计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.6272,medium,operational efficiency,营业收入 / 平均总资产,"year,营业收入,资产合计
+2020,27759710926.0,41514185835.0
+2021,30166805377.0,46563004491.0
+2022,32171565624.0,50311699796.0
+2023,33936522741.0,49256011349.0
+2024,32137830111.0,51420385832.0
+2025,32473493664.0,52131585698.0
+","year,总资产周转率
+2021,0.6850083492750766
+2022,0.6641891887213168
+2023,0.6816772696839118
+2024,0.6384382240699643
+2025,0.6271921854156512
+"
+CN,fundamental,对于中国人寿的总资产周转率，其2022-2024年的平均值是多少？（总资产按期初期末平均值计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.1074,medium,operational efficiency,营业收入 / 平均总资产,"year,营业收入,资产合计
+2021,858508000000.0,4892480000000.0
+2022,826055000000.0,5251984000000.0
+2023,405040000000.0,5653727000000.0
+2024,528567000000.0,6769546000000.0
+","year,总资产周转率
+2022,0.16285828408479738
+2023,0.07428034724191757
+2024,0.08509303466163869
+"
+CN,fundamental,计算恒立液压在2021-2025年的总资产周转率的平均值。（总资产按期初期末平均值计算）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.5886,medium,operational efficiency,营业收入 / 平均总资产,"year,营业收入,资产合计
+2020,7855038369.93,10620327083.83
+2021,9309218098.53,12332043327.93
+2022,8196713892.3,16201076162.33
+2023,8984640412.62,17895562755.83
+2024,9389689159.97,19638650656.83
+2025,10941028858.98,21670965419.64
+","year,总资产周转率
+2021,0.8111770533086446
+2022,0.574540326380928
+2023,0.5270103269818038
+2024,0.5003269447390593
+2025,0.529708571424464
+"
+CN,fundamental,中国交建2023-2025年的固定资产周转率的平均值是？（固定资产用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,12.1916,medium,operational efficiency,营业收入 / 平均固定资产合计,"year,营业收入,固定资产合计
+2022,721887459619.0,50500975200.0
+2023,758718749687.0,63685043101.0
+2024,771944258710.0,64741212538.0
+2025,731108751343.0,65071759598.0
+","year,固定资产周转率
+2023,13.289170792994634
+2024,12.021595660001145
+2025,11.264032235192117
+"
+CN,fundamental,2019至2023年间，盛美上海固定资产周转率的最大值是多少？（固定资产用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,49.8706,medium,operational efficiency,营业收入 / 平均固定资产合计,"year,营业收入,固定资产合计
+2018,550269055.81,16384814.69
+2019,756732956.8,13963028.87
+2020,1007471809.8,28114683.89
+2021,1620869141.67,38941564.73
+2022,2873045516.26,300416541.46
+2023,3888342742.05,661811732.32
+","year,固定资产周转率
+2019,49.87062459999052
+2020,47.88624398604313
+2021,48.34356752806969
+2022,16.93223449715645
+2023,8.081954870802342
+"
+CN,fundamental,恒生电子的固定资产周转率在2018到2020年的最大值是？（固定资产用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,10.6682,medium,operational efficiency,营业收入 / 平均固定资产合计,"year,营业收入,固定资产合计
+2017,2666121404.34,319153245.91
+2018,3262879215.76,292546355.04
+2019,3871840010.31,490427136.51
+2020,4172645156.56,472506719.88
+","year,固定资产周转率
+2018,10.668240458854594
+2019,9.890092198766983
+2020,8.666524972344575
+"
+CN,fundamental,对于昆仑万维的固定资产周转率，其2017-2019年的最小值是多少？（固定资产用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,140.5427,medium,operational efficiency,营业收入 / 平均固定资产合计,"year,营业收入,固定资产合计
+2016,2424670626.82,25949831.32
+2017,3436369668.04,22951588.41
+2018,3577178500.67,21635409.01
+2019,3687883695.82,14774126.29
+","year,固定资产周转率
+2017,140.542736264643
+2018,160.4583716177944
+2019,202.57790523462134
+"
+CN,fundamental,计算拓普集团在2017-2019年的固定资产周转率的平均值。（固定资产用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.411,medium,operational efficiency,营业收入 / 平均固定资产合计,"year,营业收入,固定资产合计
+2016,3937723916.66,1332517173.33
+2017,5090219715.78,1949363270.88
+2018,5984017661.79,2772566637.01
+2019,5358953813.6,3941027638.25
+","year,固定资产周转率
+2017,3.1020141058217585
+2018,2.534564374533024
+2019,1.596448517405369
+"
+CN,fundamental,天齐锂业2022-2024年的营运资本周转率的平均值是？（净营运资本用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.6986,medium,operational efficiency,营业收入 / 平均净营运资本；净营运资本 = 流动资产合计 - 流动负债合计,"year,营业收入,流动资产合计,流动负债合计
+2021,7663320941.87,6470437993.99,13760228502.0
+2022,40448883981.77,25989778758.23,7555105928.79
+2023,40503462071.46,19629040462.42,6659867085.43
+2024,13063477016.39,12850243193.46,5041272420.75
+","year,营运资本周转率
+2022,7.258736847134337
+2023,2.5795223811258405
+2024,1.257424813522493
+"
+CN,fundamental,2020至2024年间，龙芯中科营运资本周转率的最大值是多少？（净营运资本用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.273,medium,operational efficiency,营业收入 / 平均净营运资本；净营运资本 = 流动资产合计 - 流动负债合计,"year,营业收入,流动资产合计,流动负债合计
+2019,485629263.56,993718385.13,196100880.96
+2020,1082320993.24,1248352471.38,345511099.87
+2021,1201253983.94,1364706894.89,365438348.13
+2022,738657855.87,3641542232.15,349323550.58
+2023,505694383.12,3267446188.98,442712380.85
+2024,504257187.54,2601184867.17,385356001.17
+","year,营运资本周转率
+2020,1.2729752053629506
+2021,1.263075253855529
+2022,0.3442432968197103
+2023,0.16534193586479898
+2024,0.20007972130890514
+"
+CN,fundamental,阳光电源的营运资本周转率在2018到2022年的平均值是？（净营运资本用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.3905,medium,operational efficiency,营业收入 / 平均净营运资本；净营运资本 = 流动资产合计 - 流动负债合计,"year,营业收入,流动资产合计,流动负债合计
+2017,8886060068.67,13171977300.28,7878823123.69
+2018,10368931999.29,14465023175.15,9248083532.56
+2019,13003331783.65,18429304933.35,12192885032.29
+2020,19285641347.02,23253041619.3,15027391680.38
+2021,24136598726.55,36307432821.53,23507362032.35
+2022,40257239155.34,51993725437.4,35468598131.24
+","year,营运资本周转率
+2018,1.973137857317241
+2019,2.2706580953986277
+2020,2.667065165693692
+2021,2.295911663498169
+2022,2.745573211438062
+"
+CN,fundamental,对于中金黄金的营运资本周转率，其2018-2022年的最小值是多少？（净营运资本用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-940.9188,medium,operational efficiency,营业收入 / 平均净营运资本；净营运资本 = 流动资产合计 - 流动负债合计,"year,营业收入,流动资产合计,流动负债合计
+2017,32928245496.39,15337437298.31,15909600351.59
+2018,34452379533.63,15139127158.25,14640195462.62
+2019,42541410266.5,17700967114.12,18898017724.74
+2020,47995317805.91,19083216107.38,15042926515.25
+2021,56102498949.46,20996857584.53,15383802088.04
+2022,57151533876.45,23160198843.58,18011225280.13
+","year,营运资本周转率
+2018,-940.9187713899847
+2019,-121.87439518698373
+2020,33.76101560089083
+2021,11.62343176058159
+2022,10.62095884672674
+"
+CN,fundamental,计算蓝思科技在2020-2024年的营运资本周转率的平均值。（净营运资本用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,7.7781,medium,operational efficiency,营业收入 / 平均净营运资本；净营运资本 = 流动资产合计 - 流动负债合计,"year,营业收入,流动资产合计,流动负债合计
+2019,30257760248.61,16630406049.32,19008008084.23
+2020,36939133598.93,35418511945.11,27048355993.38
+2021,45268146208.65,29217041298.42,20074479856.28
+2022,46698545632.87,28611319293.45,22167059734.45
+2023,54490733538.84,28080678412.57,19056315253.87
+2024,69896776437.83,30772780617.37,23065159887.59
+","year,营运资本周转率
+2020,12.328344179014769
+2021,5.169745527269831
+2022,5.992055163712284
+2023,7.045324529958168
+2024,8.35487015809931
+"
+CN,fundamental,中国铝业2018-2020年的流动比率的平均值是？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.7432,medium,solvency,流动资产合计 / 流动负债合计,"year,流动资产合计,流动负债合计
+2018,58901463000.0,74836777000.0
+2019,48701467000.0,69203103000.0
+2020,46268649000.0,62633005000.0
+","year,流动比率
+2018,0.7870657364092524
+2019,0.7037468681137029
+2020,0.7387263153029301
+"
+CN,fundamental,2020至2024年间，兖矿能源流动比率的最小值是多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.5689,medium,solvency,流动资产合计 / 流动负债合计,"year,流动资产合计,流动负债合计
+2020,58072036000.0,102081084000.0
+2021,89528914000.0,95722443000.0
+2022,126309871000.0,131332781000.0
+2023,96304178000.0,123141890000.0
+2024,102288947000.0,134728288000.0
+","year,流动比率
+2020,0.5688814589782374
+2021,0.9352970023968151
+2022,0.9617543315404248
+2023,0.7820586317133836
+2024,0.7592239797480392
+"
+CN,fundamental,中国中冶的流动比率在2018到2022年的最大值是？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.1732,medium,solvency,流动资产合计 / 流动负债合计,"year,流动资产合计,流动负债合计
+2018,339420571000.0,296985847000.0
+2019,347435959000.0,305923537000.0
+2020,389253555000.0,331791251000.0
+2021,412315644000.0,358889666000.0
+2022,438205660000.0,385844649000.0
+","year,流动比率
+2018,1.1428846674973034
+2019,1.1356954172506184
+2020,1.1731881230346246
+2021,1.1488646318392461
+2022,1.1357049038666336
+"
+CN,fundamental,对于中国电建的流动比率，其2022-2024年的最小值是多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.8412,medium,solvency,流动资产合计 / 流动负债合计,"year,流动资产合计,流动负债合计
+2022,415740552220.66,472523811954.15
+2023,458239613945.38,544773111571.9
+2024,532896988604.23,603809194430.34
+","year,流动比率
+2022,0.8798298449793259
+2023,0.8411568122794563
+2024,0.88255858559257
+"
+CN,fundamental,计算山西焦煤在2021-2023年的流动比率的最小值。按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.6269,medium,solvency,流动资产合计 / 流动负债合计,"year,流动资产合计,流动负债合计
+2021,21435786478.31,34192571847.49
+2022,26846958036.57,29306381657.49
+2023,26756899335.87,24849624766.84
+","year,流动比率
+2021,0.6269135464252465
+2022,0.9160789056232251
+2023,1.0767526506708107
+"
+CN,fundamental,山西汾酒2018-2020年的速动比率的平均值是？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.977,medium,solvency,(流动资产合计 - 存货) / 流动负债合计,"year,流动资产合计,流动负债合计,存货
+2018,9465617992.82,5591449398.41,3324023366.68
+2019,13271387753.42,8772398180.3,5809263880.54
+2020,15807956206.07,9629334958.82,6353550235.1
+","year,速动比率
+2018,1.0983904509421905
+2019,0.8506367038420057
+2020,0.9818337415202517
+"
+CN,fundamental,2021至2025年间，圆通速递速动比率的最小值是多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0118,medium,solvency,(流动资产合计 - 存货) / 流动负债合计,"year,流动资产合计,流动负债合计,存货
+2021,12636926553.81,10137409269.19,73177887.93
+2022,14136031871.03,11268260519.85,81871849.07
+2023,14629043838.23,12590384136.95,139464809.8
+2024,15238484896.0,13754946715.12,178380915.51
+2025,15893391841.15,15366662691.17,344844989.09
+","year,速动比率
+2021,1.2393451159226867
+2022,1.247234211278875
+2023,1.1508448726283325
+2024,1.094886391957834
+2025,1.0118362825126963
+"
+CN,fundamental,赛轮轮胎的速动比率在2018到2022年的最小值是？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.544,medium,solvency,(流动资产合计 - 存货) / 流动负债合计,"year,流动资产合计,流动负债合计,存货
+2018,6859289432.08,8434069053.96,2271037105.7
+2019,8470546801.36,8466725670.13,2229460621.15
+2020,10305991626.39,10866939288.64,2656272064.12
+2021,12472181706.54,11841340708.43,4307719810.46
+2022,12817534171.15,11304734859.82,4115430027.55
+","year,速动比率
+2018,0.5440140811066403
+2019,0.737131026014945
+2020,0.7039442624168156
+2021,0.6894879639995172
+2022,0.7697751651416049
+"
+CN,fundamental,对于山西焦煤的速动比率，其2016-2020年的最小值是多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.3812,medium,solvency,(流动资产合计 - 存货) / 流动负债合计,"year,流动资产合计,流动负债合计,存货
+2016,14201319662.72,22068739203.49,3185059803.33
+2017,16525183471.54,23815361941.67,3294234555.18
+2018,16783518706.59,23523979046.96,3213285963.49
+2019,17140232715.42,25558092809.32,2971176409.46
+2020,15133292028.51,32559702578.21,2721048980.86
+","year,速动比率
+2016,0.49917939388435306
+2017,0.5555636294239839
+2018,0.5768680849447398
+2019,0.5543862921099152
+2020,0.3812148780485689
+"
+CN,fundamental,计算三六零在2016-2020年的速动比率的最小值。按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.6803,medium,solvency,(流动资产合计 - 存货) / 流动负债合计,"year,流动资产合计,流动负债合计,存货
+2016,5683487000.0,8282922000.0,48231000.0
+2017,13304783000.0,4369092000.0,103620000.0
+2018,18299834000.0,4882849000.0,123416000.0
+2019,22931251000.0,4863843000.0,278103000.0
+2020,30442063000.0,7237698000.0,406581000.0
+","year,速动比率
+2016,0.680346380178396
+2017,3.021488904330694
+2018,3.7225025799487144
+2019,4.657458721426658
+2020,4.149866711763878
+"
+CN,fundamental,红塔证券2022-2024年的资产负债率的最小值是？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,49.8537,medium,solvency,负债合计 / 资产合计 * 100%,"year,负债合计,资产合计
+2022,23004574969.57,46144136738.79
+2023,23663020983.85,47000455541.83
+2024,34412245797.6,59070725888.07
+","year,资产负债率
+2022,49.853733530205446
+2023,50.34636518105684
+2024,58.256006304723506
+"
+CN,fundamental,2021至2025年间，中国海油资产负债率的最大值是多少？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,38.7243,medium,solvency,负债合计 / 资产合计 * 100%,"year,负债合计,资产合计
+2021,304593000000.0,786569000000.0
+2022,330648000000.0,929031000000.0
+2023,337722000000.0,1005598000000.0
+2024,306845000000.0,1056281000000.0
+2025,293375000000.0,1098559000000.0
+","year,资产负债率
+2021,38.724256867483966
+2022,35.5906315289802
+2023,33.584195672624645
+2024,29.049561622333453
+2025,26.705438670112393
+"
+CN,fundamental,双汇发展的资产负债率在2018到2020年的最大值是？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,40.2257,medium,solvency,负债合计 / 资产合计 * 100%,"year,负债合计,资产合计
+2018,9159341367.5,22864524601.32
+2019,11517949718.79,28633340531.12
+2020,10571162795.18,34703881761.96
+","year,资产负债率
+2018,40.05918131781851
+2019,40.225658289055644
+2020,30.46103853075992
+"
+CN,fundamental,对于海尔智家的资产负债率，其2018-2020年的复合年均增长率是多少？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-0.2095,medium,solvency,负债合计 / 资产合计 * 100%,"year,负债合计,资产合计
+2018,112283724133.23,168091571652.14
+2019,122464376015.24,187454236283.17
+2020,135366059017.75,203498169276.71
+","year,资产负债率
+2018,66.79913991499673
+2019,65.33027924225956
+2020,66.51954634229843
+"
+CN,fundamental,计算公牛集团在2020-2024年的资产负债率的复合年均增长率。（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-3.9977,medium,solvency,负债合计 / 资产合计 * 100%,"year,负债合计,资产合计
+2020,3300149005.29,12437541574.38
+2021,4718153089.99,15473904666.62
+2022,4236646437.94,16651920835.06
+2023,5301794179.2,19762205724.93
+2024,4619054119.92,20494034490.68
+","year,资产负债率
+2020,26.53377265558616
+2021,30.491031136878497
+2022,25.442388778475927
+2023,26.82794751251776
+2024,22.53853003917111
+"
+CN,fundamental,通威股份2017-2021年的产权比率的最小值是？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.8648,medium,solvency,负债合计 / 股东权益合计,"year,负债合计,股东权益合计
+2017,11849161871.56,13701613208.69
+2018,23256993061.75,15226638490.93
+2019,28732760510.78,18088190234.82
+2020,32708001760.72,31543946310.19
+2021,46593391984.0,41301805244.99
+","year,产权比率
+2017,0.8648004940064198
+2018,1.5273885352701724
+2019,1.5884817738962664
+2020,1.0369026576156062
+2021,1.1281199867081326
+"
+CN,fundamental,2020至2022年间，北新建材产权比率的最大值是多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.3609,medium,solvency,负债合计 / 股东权益合计,"year,负债合计,股东权益合计
+2020,5487252574.79,17481345791.75
+2021,7047885943.11,19526123834.15
+2022,7470893664.34,21559875140.36
+","year,产权比率
+2020,0.3138918845355492
+2021,0.360946494192753
+2022,0.3465184105057509
+"
+CN,fundamental,东方电气的产权比率在2020到2022年的最大值是？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.9854,medium,solvency,负债合计 / 股东权益合计,"year,负债合计,股东权益合计
+2020,64153537732.09,33641600037.07
+2021,67720696078.96,35383877225.37
+2022,76708775713.68,38635574727.72
+","year,产权比率
+2020,1.9069704669634797
+2021,1.9138856843648755
+2022,1.9854441471176947
+"
+CN,fundamental,对于中国化学的产权比率，其2016-2020年的最小值是多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.7706,medium,solvency,负债合计 / 股东权益合计,"year,负债合计,股东权益合计
+2016,54690586647.95,29193586507.78
+2017,56923110627.49,30558218115.22
+2018,62004175341.01,35018495428.6
+2019,78273573882.29,37591816547.17
+2020,95284164138.9,40723988284.8
+","year,产权比率
+2016,1.8733767649060566
+2017,1.8627758468396607
+2018,1.7706122031265368
+2019,2.0821971660792915
+2020,2.3397552192711997
+"
+CN,fundamental,计算紫光股份在2017-2019年的产权比率的复合年均增长率。按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,20.7451,medium,solvency,负债合计 / 股东权益合计,"year,负债合计,股东权益合计
+2017,13700525945.82,28929195305.49
+2018,18083359925.08,30517550116.28
+2019,22342910698.24,32359353601.12
+","year,产权比率
+2017,0.4735882142985152
+2018,0.592556081866912
+2019,0.6904622068058456
+"
+CN,fundamental,信达证券2023-2025年的净债务权益比的平均值是？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-0.9605,medium,solvency,净债务权益比 = 净债务 / 股东权益合计；净债务 = 有息负债（短期借款 + 一年内到期非流动负债 + 长期借款 + 应付债券 + 租赁负债 + 应付利息 + 应付短期债券 + 交易性金融负债 + 卖出回购金融资产款）- 现金类资产（货币资金 + 交易性金融资产）,"year,短期借款,一年内到期的非流动负债,长期借款,应付债券,租赁负债,应付利息,应付短期债券,交易性金融负债,卖出回购金融资产款,货币资金,交易性金融资产,股东权益合计
+2023,351054155.09,0.0,0.0,9645949144.57,442850573.03,0.0,0.0,6848399.69,11802606809.76,16745457705.69,29161860002.86,18339819656.98
+2024,616629822.07,0.0,0.0,18182342935.59,342439519.15,0.0,0.0,293742.48,19749457500.35,22137616445.64,34463308851.01,24441355298.03
+2025,966862633.42,0.0,0.0,22654047214.45,331108705.8,0.0,0.0,25301.36,20240349189.62,26760323675.95,42355410074.58,28753273782.14
+","year,净债务权益比
+2023,-1.2899804397698067
+2024,-0.7245818229416038
+2025,-0.8668001040410591
+"
+CN,fundamental,2019至2021年间，立讯精密净债务权益比的平均值是多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-0.0153,medium,solvency,净债务权益比 = 净债务 / 股东权益合计；净债务 = 有息负债（短期借款 + 一年内到期非流动负债 + 长期借款 + 应付债券 + 租赁负债 + 应付利息 + 应付短期债券 + 交易性金融负债 + 卖出回购金融资产款）- 现金类资产（货币资金 + 交易性金融资产）,"year,短期借款,一年内到期的非流动负债,长期借款,应付债券,租赁负债,应付利息,应付短期债券,交易性金融负债,卖出回购金融资产款,货币资金,交易性金融资产,股东权益合计
+2019,4166302223.17,366537115.41,1562908824.3,0.0,0.0,6097484.73,0.0,1001553.0,0.0,6180466259.01,1524366132.75,21749703294.72
+2020,7577068798.49,278527714.63,1495199238.41,2475423249.98,0.0,0.0,0.0,0.0,0.0,10528245765.93,3160064470.41,30906599862.07
+2021,11919635337.99,270079590.16,5025096193.09,2805785000.04,315093483.55,0.0,0.0,41436.0,0.0,14204618186.43,2107118105.04,45782643549.57
+","year,净债务权益比
+2019,-0.07365549632757067
+2020,-0.06024898381381783
+2021,0.08789345562807266
+"
+CN,fundamental,南山铝业的净债务权益比在2018到2020年的平均值是？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-0.0974,medium,solvency,净债务权益比 = 净债务 / 股东权益合计；净债务 = 有息负债（短期借款 + 一年内到期非流动负债 + 长期借款 + 应付债券 + 租赁负债 + 应付利息 + 应付短期债券 + 交易性金融负债 + 卖出回购金融资产款）- 现金类资产（货币资金 + 交易性金融资产）,"year,短期借款,一年内到期的非流动负债,长期借款,应付债券,租赁负债,应付利息,应付短期债券,交易性金融负债,卖出回购金融资产款,货币资金,交易性金融资产,股东权益合计
+2018,3940237094.34,256956449.15,100000000.0,2314936526.43,0.0,42469596.12,0.0,9000.0,0.0,6305366203.16,0.0,40257832968.12
+2019,4863642156.14,943635967.47,170000000.0,1495186344.59,0.0,42152521.73,0.0,0.0,0.0,10345835810.75,2443733198.9,41548667623.47
+2020,5072611378.87,20026125.0,350434270.83,76225025.04,0.0,0.0,0.0,0.0,0.0,13227105998.0,0.0,44286931163.9
+","year,净债务权益比
+2018,0.008675143124483716
+2019,-0.12695839172325915
+2020,-0.17404252215477362
+"
+CN,fundamental,对于顺丰控股的净债务权益比，其2018-2020年的最大值是多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0906,medium,solvency,净债务权益比 = 净债务 / 股东权益合计；净债务 = 有息负债（短期借款 + 一年内到期非流动负债 + 长期借款 + 应付债券 + 租赁负债 + 应付利息 + 应付短期债券 + 交易性金融负债 + 卖出回购金融资产款）- 现金类资产（货币资金 + 交易性金融资产）,"year,短期借款,一年内到期的非流动负债,长期借款,应付债券,租赁负债,应付利息,应付短期债券,交易性金融负债,卖出回购金融资产款,货币资金,交易性金融资产,股东权益合计
+2018,8585129399.63,273222821.65,998287835.19,6405035926.4,0.0,0.0,0.0,0.0,0.0,16131120733.54,14441978.09,37063854382.48
+2019,6053374642.5,2091892291.74,6539556784.41,10597985016.52,0.0,0.0,0.0,0.0,0.0,18520991737.1,2910172928.2,42493610981.38
+2020,7996570000.0,2945351000.0,1865820000.0,8425430000.0,0.0,0.0,0.0,22155000.0,0.0,16417892000.0,6276923000.0,56759699000.0
+","year,净债务权益比
+2018,0.003132789969488073
+2019,0.09064054527062261
+2020,-0.025361110530202072
+"
+CN,fundamental,计算东方电气在2017-2021年的净债务权益比的最大值。按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-0.5185,medium,solvency,净债务权益比 = 净债务 / 股东权益合计；净债务 = 有息负债（短期借款 + 一年内到期非流动负债 + 长期借款 + 应付债券 + 租赁负债 + 应付利息 + 应付短期债券 + 交易性金融负债 + 卖出回购金融资产款）- 现金类资产（货币资金 + 交易性金融资产）,"year,短期借款,一年内到期的非流动负债,长期借款,应付债券,租赁负债,应付利息,应付短期债券,交易性金融负债,卖出回购金融资产款,货币资金,交易性金融资产,股东权益合计
+2017,88194570.5,528320000.0,456634990.0,0.0,0.0,51774673.87,0.0,0.0,0.0,30609842597.19,356894260.52,28326973115.25
+2018,245566000.0,16320000.0,462864840.0,0.0,0.0,69676019.71,0.0,0.0,0.0,29346448438.05,3122839818.04,30693908615.21
+2019,13850000.0,154232008.74,627019323.12,0.0,156664637.27,60708321.69,0.0,0.0,0.0,30479728679.02,1606664199.35,31798432970.59
+2020,297980000.0,139954877.02,719350539.48,0.0,27531905.94,28164115.17,0.0,0.0,0.0,26686232240.6,1292860471.15,33641600037.07
+2021,41830000.0,102152874.33,1565091967.96,0.0,126932623.7,6950944.06,0.0,0.0,0.0,18721874434.15,1466444004.12,35383877225.37
+","year,净债务权益比
+2017,-1.0534769282240917
+2018,-1.0319592005523825
+2019,-0.9772154060638744
+2020,-0.7956253936984616
+2021,-0.5184666426285953
+"
+CN,fundamental,中国电建2018-2022年的利息保障倍数的最小值是？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.2785,medium,solvency,利息保障倍数 = EBIT / 利息支出 = (利润总额 + 利息支出) / 利息支出,"year,利润总额,财务费用——利息费用
+2018,12750036084.65,9891738036.34
+2019,13686580335.14,10704767426.32
+2020,16206720339.19,10142024232.17
+2021,18566485724.39,12818470577.05
+2022,19247274041.42,13074707705.73
+","year,利息保障倍数
+2018,2.2889581222035256
+2019,2.2785499946022707
+2020,2.597976889838528
+2021,2.448416612012291
+2022,2.4720997573800343
+"
+CN,fundamental,2021至2025年间，华域汽车利息保障倍数的最小值是多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,10.9623,medium,solvency,利息保障倍数 = EBIT / 利息支出 = (利润总额 + 利息支出) / 利息支出,"year,利润总额,财务费用——利息费用
+2021,8963702072.81,448392913.93
+2022,9138994194.63,508901686.17
+2023,9038614641.58,704934553.13
+2024,8313651974.73,834513464.87
+2025,9531194927.96,791864402.88
+","year,利息保障倍数
+2021,20.99073088431846
+2022,18.958270610990063
+2023,13.821920278198009
+2024,10.96227421689966
+2025,13.036397763676677
+"
+CN,fundamental,智飞生物的利息保障倍数在2018到2022年的最小值是？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,31.3135,medium,solvency,利息保障倍数 = EBIT / 利息支出 = (利润总额 + 利息支出) / 利息支出,"year,利润总额,财务费用——利息费用
+2018,1692217751.62,27031284.29
+2019,2765378153.04,76112747.35
+2020,3854072300.31,127140487.31
+2021,11931054734.79,56144537.45
+2022,8718007864.78,53295566.36
+","year,利息保障倍数
+2018,63.602195791563695
+2019,37.33265450691947
+2020,31.31349322197277
+2021,213.50606517891975
+2022,164.5784824180636
+"
+CN,fundamental,对于小商品城的利息保障倍数，其2021-2023年的最小值是多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,5.0929,medium,solvency,利息保障倍数 = EBIT / 利息支出 = (利润总额 + 利息支出) / 利息支出,"year,利润总额,财务费用——利息费用
+2021,1656693823.97,341313765.39
+2022,1149806832.6,280924664.39
+2023,3208071559.14,194769865.08
+","year,利息保障倍数
+2021,5.853873450070171
+2022,5.092936571079265
+2023,17.4710878544908
+"
+CN,fundamental,计算德赛西威在2019-2023年的利息保障倍数的平均值。按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,461.6837,medium,solvency,利息保障倍数 = EBIT / 利息支出 = (利润总额 + 利息支出) / 利息支出,"year,利润总额,财务费用——利息费用
+2019,255045818.69,421935.95
+2020,533766402.87,362500.38
+2021,860719846.6,6671279.09
+2022,1157387998.39,21319835.27
+2023,1538182047.76,35614521.38
+","year,利息保障倍数
+2019,605.4657220841219
+2020,1473.457498858346
+2021,130.01871365120778
+2022,55.286910932121856
+2023,44.18974362586253
+"
+CN,fundamental,国轩高科2020-2022年的净债务/EBITDA的最大值是？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.9088,medium,solvency,净债务 / EBITDA；净债务 = 有息负债（短期借款 + 一年内到期非流动负债 + 长期借款 + 应付债券 + 租赁负债 + 应付利息 + 应付短期债券 + 交易性金融负债 + 卖出回购金融资产款）- 现金类资产（货币资金 + 交易性金融资产）；EBITDA = 利润总额 + 利息支出 + 折旧与摊销,"year,短期借款,一年内到期的非流动负债,长期借款,应付债券,租赁负债,应付利息,应付短期债券,交易性金融负债,卖出回购金融资产款,货币资金,交易性金融资产,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+2020,3251886000.0,879397249.24,2586657483.68,995799629.08,0.0,43348953.78,0.0,0.0,0.0,3343527263.79,411114371.81,166440926.13,352621952.04,553355294.97,46983421.41,7173322.7
+2021,5480447055.22,1238829643.16,4377862351.03,498699420.14,6199901.96,14784265.56,0.0,0.0,0.0,11385117819.0,53385792.58,47718638.0,389648394.41,730749734.1,74183202.52,4905616.37
+2022,10820704180.47,3633466234.89,10688953878.75,394159870.29,163978672.33,0.0,0.0,0.0,0.0,14122371543.66,3514006212.53,258963872.62,711026372.6,949240730.66,119447365.05,24573763.86
+","year,净债务/EBITDA
+2020,3.5527576718555767
+2021,0.1429748451878588
+2022,3.9088219330137823
+"
+CN,fundamental,2019至2023年间，深南电路净债务/EBITDA的最小值是多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.1705,medium,solvency,净债务 / EBITDA；净债务 = 有息负债（短期借款 + 一年内到期非流动负债 + 长期借款 + 应付债券 + 租赁负债 + 应付利息 + 应付短期债券 + 交易性金融负债 + 卖出回购金融资产款）- 现金类资产（货币资金 + 交易性金融资产）；EBITDA = 利润总额 + 利息支出 + 折旧与摊销,"year,短期借款,一年内到期的非流动负债,长期借款,应付债券,租赁负债,应付利息,应付短期债券,交易性金融负债,卖出回购金融资产款,货币资金,交易性金融资产,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+2019,157784871.67,555363192.06,944837657.96,1304971915.69,0.0,0.0,0.0,0.0,0.0,1443644507.69,0.0,1403184487.16,71974663.41,435719386.13,11833867.55,19873716.98
+2020,232176259.71,456107322.32,1059415030.98,0.0,0.0,0.0,0.0,0.0,0.0,506884874.33,165100019.18,1605879809.05,112870159.44,591428360.13,14671450.03,37950219.05
+2021,350343750.0,574553005.17,1367637772.91,0.0,33590110.68,0.0,0.0,0.0,0.0,619595093.18,0.0,1609246998.43,90555003.5,792962650.21,19624696.05,50130279.42
+2022,0.0,1477182188.68,1174624053.7,0.0,25669120.28,0.0,0.0,0.0,0.0,1913469009.39,270924000.0,1720463891.82,92011499.06,996178284.81,24422199.13,58514124.58
+2023,400296388.9,357114846.66,2406626682.1,0.0,19592441.16,0.0,0.0,0.0,0.0,852684905.52,590307921.64,1398277029.24,65944870.23,1201525590.42,26434096.22,59039362.37
+","year,净债务/EBITDA
+2019,0.7821085063286699
+2020,0.4552707468034208
+2021,0.6659576485553159
+2022,0.1705229141656715
+2023,0.6326782051516694
+"
+CN,fundamental,中信特钢的净债务/EBITDA在2021到2025年的最小值是？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.6338,medium,solvency,净债务 / EBITDA；净债务 = 有息负债（短期借款 + 一年内到期非流动负债 + 长期借款 + 应付债券 + 租赁负债 + 应付利息 + 应付短期债券 + 交易性金融负债 + 卖出回购金融资产款）- 现金类资产（货币资金 + 交易性金融资产）��EBITDA = 利润总额 + 利息支出 + 折旧与摊销,"year,短期借款,一年内到期的非流动负债,长期借款,应付债券,租赁负债,应付利息,应付短期债券,交易性金融负债,卖出回购金融资产款,货币资金,交易性金融资产,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+2021,4607245996.24,776474842.77,10420600000.0,0.0,20380555.18,43613954.94,0.0,0.0,0.0,7625258158.04,0.0,9298224103.91,609491674.75,2966428895.82,124471585.38,6173983.93
+2022,5272700556.9,446577058.0,7803100000.0,4613047580.04,22730676.48,44563954.93,0.0,0.0,0.0,8927882094.31,0.0,8429175310.95,536180238.72,3142987472.05,129997789.91,7699859.14
+2023,8670103437.14,3675986853.54,17014706506.35,4758696659.84,26396992.76,42503127.75,0.0,0.0,0.0,8478024196.08,0.0,6558561554.69,1048156487.28,4436150649.1,254372840.77,9031511.58
+2024,9018641334.74,3616973201.47,18131746870.4,4886520945.3,28831408.58,23303127.75,0.0,0.0,0.0,8833495129.53,0.0,5923596881.28,1003121829.76,4749659877.14,302797863.08,8857202.81
+2025,6818143340.3,5595182925.13,15774425600.0,4998008325.67,48534616.04,23303127.75,0.0,0.0,0.0,11273077276.76,0.0,7189814589.3,846747728.75,4614128789.44,304849211.66,8289297.36
+","year,净债务/EBITDA
+2021,0.633847761983412
+2022,0.7573744021753948
+2023,2.0892084297647684
+2024,2.241612138750265
+2025,1.695835359493753
+"
+CN,fundamental,对于紫光国微的净债务/EBITDA，其2018-2022年的平均值是多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-0.8816,medium,solvency,净债务 / EBITDA；净债务 = 有息负债（短期借款 + 一年内到期非流动负债 + 长期借款 + 应付债券 + 租赁负债 + 应付利息 + 应付短期债券 + 交易性金融负债 + 卖出回购金融资产款）- 现金类资产（货币资金 + 交易性金融资产）；EBITDA = 利润总额 + 利息支出 + 折旧与摊销,"year,短期借款,一年内到期的非流动负债,长期借款,应付债券,租赁负债,应付利息,应付短期债券,交易性金融负债,卖出回购金融资产款,货币资金,交易性金融资产,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+2018,12515883.12,10000000.0,0.0,300000000.0,0.0,9724000.0,0.0,0.0,0.0,1130318828.2,0.0,373029670.59,15211072.22,46048179.58,112176276.15,3548330.89
+2019,257971437.0,20000000.0,71200000.0,300000000.0,0.0,9741279.35,0.0,0.0,0.0,1179253198.7,69762808.93,456169977.58,18451633.84,26538615.89,71862107.45,3798713.01
+2020,297534529.98,100219378.39,117466598.65,300000000.0,0.0,9812111.41,0.0,0.0,0.0,1485553391.39,0.0,936532554.87,30728336.97,22921208.96,169493451.36,4109596.53
+2021,50000000.0,106506989.96,92090909.03,1276744994.57,0.0,0.0,0.0,0.0,0.0,3162511743.28,0.0,2175893137.0,55365184.53,44720384.32,130607647.32,6071561.51
+2022,0.0,70453436.15,439000000.0,1321572037.48,11697186.98,0.0,0.0,0.0,0.0,4092173560.99,0.0,2881446844.0,69298627.32,69324207.44,236279323.59,13007190.9
+","year,净债务/EBITDA
+2018,-1.451016933905389
+2019,-1.0230266276886901
+2020,-0.5675624695017865
+2021,-0.6785747949423421
+2022,-0.6880409375473604
+"
+CN,fundamental,计算豪威集团在2017-2021年的净债务/EBITDA的最大值。按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.1364,medium,solvency,净债务 / EBITDA；净债务 = 有息负债（短期借款 + 一年内到期非流动负债 + 长期借款 + 应付债券 + 租赁负债 + 应付利息 + 应付短期债券 + 交易性金融负债 + 卖出回购金融资产款）- 现金类资产（货币资金 + 交易性金融资产）；EBITDA = 利润总额 + 利息支出 + 折旧与摊销,"year,短期借款,一年内到期的非流动负债,长期借款,应付债券,租赁负债,应付利息,应付短期债券,交易性金融负债,卖出回购金融资产款,货币资金,交易性金融资产,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+2017,489384646.67,0.0,70000000.0,0.0,0.0,840376.76,0.0,0.0,0.0,788616854.32,0.0,145387746.94,30336398.78,16466920.25,8496812.88,111866.15
+2018,1599704838.08,14000000.0,2290329449.2,0.0,0.0,13470668.42,0.0,0.0,0.0,3004228317.41,12569951.68,206545109.77,142028662.13,158563271.6,302571989.42,23048426.84
+2019,1654183276.49,2446569373.95,928000000.0,0.0,0.0,16165774.98,0.0,0.0,0.0,3160602035.94,11890115.59,784459257.58,285413296.44,184195761.81,359645770.92,33954409.49
+2020,2511395261.61,529143776.89,3181591112.44,0.0,0.0,0.0,0.0,19510276.99,0.0,5455675941.43,13100127.36,2991132546.87,296875302.66,247206328.52,470666270.11,47395086.84
+2021,2386664351.51,1358453522.58,3447983828.34,2249715562.55,178759722.29,0.0,0.0,0.0,0.0,7670875781.98,15050146.32,5002076773.66,410452622.81,342651376.39,520796631.47,63913301.46
+","year,净债务/EBITDA
+2017,-1.1374109608057519
+2018,1.0815954586219891
+2019,1.1364095861290662
+2020,0.19067649175742502
+2021,0.3053130012481506
+"
+CN,fundamental,福斯特2019-2023年的营业收入增长率的最小值是？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,19.6585,medium,growth,(本期营业收入 - 上期营业收入) / 上期营业收入 * 100%,"year,营业收入
+2018,4809736097.86
+2019,6378151355.92
+2020,8393142040.58
+2021,12857893793.36
+2022,18877495145.99
+2023,22588526670.13
+","year,营业收入增长率
+2019,32.60917493493742
+2020,31.59208009056964
+2021,53.195236434619765
+2022,46.81638726661912
+2023,19.658495448895955
+"
+CN,fundamental,2019至2023年间，分众传媒营业收入增长率的最小值是多少？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-36.4742,medium,growth,(本期营业收入 - 上期营业收入) / 上期营业收入 * 100%,"year,营业收入
+2018,14551285132.73
+2019,12135948050.91
+2020,12097106052.76
+2021,14836422936.69
+2022,9424959143.22
+2023,11903724918.98
+","year,营业收入增长率
+2019,-16.598788765311294
+2020,-0.3200573864279775
+2021,22.64439835430735
+2022,-36.474181253539385
+2023,26.300016138989225
+"
+CN,fundamental,中航成飞的营业收入增长率在2022到2024年的平均值是？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1254.8803,medium,growth,(本期营业收入 - 上期营业收入) / 上期营业收入 * 100%,"year,营业收入
+2021,1942801971.79
+2022,1905000855.86
+2023,1677304847.89
+2024,65054925106.17
+","year,营业收入增长率
+2022,-1.9457009246893044
+2023,-11.952540980209058
+2024,3778.5391449865047
+"
+CN,fundamental,对于申万宏源的营业收入增长率，其2021-2025年的最大值是多少？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,30.2928,medium,growth,(本期营业收入 - 上期营业收入) / 上期营业收入 * 100%,"year,营业收入
+2020,29409186016.58
+2021,34307428053.23
+2022,20609644632.44
+2023,21500668661.21
+2024,18616589031.13
+2025,24256073184.06
+","year,营业收入增长率
+2021,16.655483201366124
+2022,-39.9265820787763
+2023,4.323335237753254
+2024,-13.41390668134546
+2025,30.29278963777873
+"
+CN,fundamental,计算中国核电在2021-2025年的营业收入增长率的平均值。（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,9.6174,medium,growth,(本期营业收入 - 上期营业收入) / 上期营业收入 * 100%,"year,营业收入
+2020,52276451960.21
+2021,62695062465.44
+2022,71285600843.64
+2023,74957180264.96
+2024,77272058526.64
+2025,82075495244.95
+","year,营业收入增长率
+2021,19.92983478136597
+2022,13.702097167437136
+2023,5.150520410669416
+2024,3.0882675328731937
+2025,6.216266021506318
+"
+CN,fundamental,国电南瑞2022-2024年的EBITDA增长率的最小值是？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,5.6351,medium,growth,EBITDA增长率 = (本期EBITDA - 上期EBITDA) / 上期EBITDA * 100%；EBITDA = 利润总额 + 利息支出 + 折旧与摊销,"year,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+2021,6866327714.16,74314581.14,1183625181.41,113235491.8,17949341.43
+2022,7885125515.06,46644078.21,1261138725.13,134154434.92,18579109.84
+2023,8569287780.84,38458991.88,1547439291.08,154866411.57,25394779.35
+2024,9137066855.21,28697841.84,1497970724.36,186231738.28,67893162.61
+","year,EBITDA增长率
+2022,13.205691369658274
+2023,10.591090543087844
+2024,5.635102702633648
+"
+CN,fundamental,2021至2023年间，宝钢股份EBITDA增长率的最大值是多少？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,42.979,medium,growth,EBITDA增长率 = (本期EBITDA - 上期EBITDA) / 上期EBITDA * 100%；EBITDA = 利润总额 + 利息支出 + 折旧与摊销,"year,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+2020,16100283407.6,1779187246.17,17907000647.55,385563219.85,166707132.87
+2021,30708256355.43,1902718718.71,18758311600.56,401098559.53,186388338.4
+2022,15044047743.21,1601858970.04,19261871406.25,473451711.37,203471867.65
+2023,15085835698.34,1455536119.08,18994698964.76,464171315.28,202186657.19
+","year,EBITDA增长率
+2021,42.9790114013308
+2022,-29.58627108094286
+2023,-1.0448983485506107
+"
+CN,fundamental,天坛生物的EBITDA增长率在2020到2024年的平均值是？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,20.4523,medium,growth,EBITDA增长率 = (本期EBITDA - 上期EBITDA) / 上期EBITDA * 100%；EBITDA = 利润总额 + 利息支出 + 折旧与摊销,"year,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+2019,1043448459.66,0.0,109524761.6,18681572.03,6631391.07
+2020,1104872335.66,2983888.95,114471126.27,18281793.2,9445512.19
+2021,1241017662.85,3089366.29,134484659.49,22668896.34,8376099.54
+2022,1426272687.7,2411057.06,155195875.37,24551562.18,12391340.61
+2023,1798598439.65,3654642.64,235536916.65,32488021.4,20810255.11
+2024,2547217502.79,5120807.81,273177437.27,58342884.7,31302677.14
+","year,EBITDA增长率
+2020,6.090920258814901
+2021,12.766004065467943
+2022,14.981579348114801
+2023,29.01401886264456
+2024,39.40881137993371
+"
+CN,fundamental,对于洋河股份的EBITDA增长率，其2019-2023年的平均值是多少？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,4.3006,medium,growth,EBITDA增长率 = (本期EBITDA - 上期EBITDA) / 上期EBITDA * 100%；EBITDA = 利润总额 + 利息支出 + 折旧与摊销,"year,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+2018,10839185788.84,3273.0,707143699.48,50118316.96,184008.16
+2019,9770804257.01,2618.0,722009265.9,53058955.54,1034707.84
+2020,9878901892.0,1964.0,727550847.83,55171822.38,127071.84
+2021,9946427518.68,603755.58,698559039.52,56541702.98,4153241.68
+2022,12503283891.37,694325.5,690046172.09,58842693.52,4026169.92
+2023,13217833119.07,1707107.98,666930331.81,59054597.55,4026169.92
+","year,EBITDA增长率
+2019,-9.051981668177579
+2020,1.0888857105166967
+2021,0.41767669811977265
+2022,23.82346381018851
+2023,5.224889879871357
+"
+CN,fundamental,计算恒立液压在2023-2025年的EBITDA增长率的平均值。（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,5.6027,medium,growth,EBITDA增长率 = (本期EBITDA - 上期EBITDA) / 上期EBITDA * 100%；EBITDA = 利润总额 + 利息支出 + 折旧与摊销,"year,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+2022,2628676109.02,16489875.6,376739456.13,14875894.76,4934860.47
+2023,2830044214.23,7681567.64,393195671.81,17007301.63,5451497.27
+2024,2800482065.28,11705446.46,406667741.1,19571573.23,7197929.93
+2025,3032006818.25,803451.24,516456445.84,18187390.8,5580370.66
+","year,EBITDA增长率
+2023,6.95870498634093
+2024,-0.238382727437091
+2025,10.087725643105735
+"
+CN,fundamental,潍柴动力2019-2023年的净利润增长率的最小值是？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-53.3595,medium,growth,(本期净利润 - 上期净利润) / |上期净利润| * 100%,"year,净利润
+2018,11625733542.47
+2019,11907007092.49
+2020,11295982598.86
+2021,12184019256.09
+2022,5682691350.97
+2023,11211614275.25
+","year,净利润增长率
+2019,2.4194047540525445
+2020,-5.131637941287405
+2021,7.861526427277083
+2022,-53.35946840259964
+2023,97.2940915282377
+"
+CN,fundamental,2023至2025年间，生益科技净利润增长率的最大值是多少？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,108.3688,medium,growth,(本期净利润 - 上期净利润) / |上期净利润| * 100%,"year,净利润
+2022,1631733421.57
+2023,1148656070.61
+2024,1867780248.75
+2025,3891871604.15
+","year,净利润增长率
+2023,-29.605163721853472
+2024,62.60570039542866
+2025,108.3688167681723
+"
+CN,fundamental,新华保险的净利润增长率在2021到2025年的最大值是？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,200.9752,medium,growth,(本期净利润 - 上期净利润) / |上期净利润| * 100%,"year,净利润
+2020,14297000000.0
+2021,14951000000.0
+2022,21504000000.0
+2023,8716000000.0
+2024,26233000000.0
+2025,36289000000.0
+","year,净利润增长率
+2021,4.574386234874449
+2022,43.829844157581434
+2023,-59.468005952380956
+2024,200.97521798990363
+2025,38.33339686654214
+"
+CN,fundamental,对于中芯国际的净利润增长率，其2017-2021年的最大值是多少？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,252.113,medium,growth,(本期净利润 - 上期净利润) / |上期净利润| * 100%,"year,净利润
+2016,316434000.0
+2017,902547004.16
+2018,360261579.71
+2019,1268528000.0
+2020,4021326000.0
+2021,11202505000.0
+","year,净利润增长率
+2017,185.22440829999303
+2018,-60.08389833997674
+2019,252.11303992535866
+2020,217.00727142010265
+2021,178.5773896470965
+"
+CN,fundamental,计算TCL科技在2021-2025年的净利润增长率的最小值。（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-186.9343,medium,growth,(本期净利润 - 上期净利润) / |上期净利润| * 100%,"year,净利润
+2020,5065204000.0
+2021,14975529000.0
+2022,1788059000.0
+2023,4780784000.0
+2024,-4156142000.0
+2025,213847000.0
+","year,净利润增长率
+2021,195.65500224670123
+2022,-88.06012795941966
+2023,167.37283277565226
+2024,-186.93431872261957
+2025,105.14532467851194
+"
+CN,fundamental,兴业银行2020-2022年的每股收益增长率的平均值是？（单位：%；净利润用归母净利润）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,11.9218,medium,growth,(本期每股收益 - 上期每股收益) / |上期每股收益| * 100%,"year,归属于母公司所有者的净利润,股本
+2019,65868000000.0,20774000000.0
+2020,66626000000.0,20774000000.0
+2021,82680000000.0,20774000000.0
+2022,91377000000.0,20774000000.0
+","year,每股收益增长率
+2020,1.150786421327509
+2021,24.095698376009363
+2022,10.518867924528298
+"
+CN,fundamental,2023至2025年间，智飞生物每股收益增长率的平均值是多少？（单位：%；净利润用归母净利润）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-316.7784,medium,growth,(本期每股收益 - 上期每股收益) / |上期每股收益| * 100%,"year,归属于母公司所有者的净利润,股本
+2022,7538999697.34,1600000000.0
+2023,8107761164.92,2400000000.0
+2024,1972494926.61,2393789747.0
+2025,-14723152851.99,2393789747.0
+","year,每股收益增长率
+2023,-28.30382906297523
+2024,-75.60840574307231
+2025,-846.4228502373761
+"
+CN,fundamental,中国电建的每股收益增长率在2019到2023年的平均值是？（单位：%；净利润用归母净利润）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,8.8198,medium,growth,(本期每股收益 - 上期每股收益) / |上期每股收益| * 100%,"year,归属于母公司所有者的净利润,股本
+2018,7695143139.57,15299035024.0
+2019,7239615758.25,15299035024.0
+2020,7987168430.79,15299035024.0
+2021,9864439336.38,15299035024.0
+2022,11434951361.39,17226159334.0
+2023,12948524884.06,17226159334.0
+","year,每股收益增长率
+2019,-5.919673917143735
+2020,10.325861171404245
+2021,23.503584804262374
+2022,2.9526415647519846
+2023,13.2363791924867
+"
+CN,fundamental,对于中国卫通的每股收益增长率，其2019-2021年的最大值是多少？（单位：%；净利润用归母净利润）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,17.0863,medium,growth,(本期每股收益 - 上期每股收益) / |上期每股收益| * 100%,"year,归属于母公司所有者的净利润,股本
+2018,418258688.97,3600000000.0
+2019,446422541.18,4000000000.0
+2020,488789159.48,4000000000.0
+2021,572304982.46,4000000000.0
+","year,每股收益增长率
+2019,-3.939763199798569
+2020,9.490250691198305
+2021,17.086267434582354
+"
+CN,fundamental,计算上海银行在2021-2023年的每股收益增长率的最大值。（单位：%；净利润用归母净利润）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,5.5409,medium,growth,(本期每股收益 - 上期每股收益) / |上期每股收益| * 100%,"year,归属于母公司所有者的净利润,股本
+2020,20885062000.0,14206529000.0
+2021,22042452000.0,14206637000.0
+2022,22280215000.0,14206663000.0
+2023,22544789000.0,14206670000.0
+","year,每股收益增长率
+2021,5.540909725346014
+2022,1.0784745017165058
+2023,1.1874341948201184
+"
+CN,fundamental,国电电力2018-2020年的公司自由现金流的最大值是？（单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,34282512755.5145,medium,cash flow,经营活动现金流净额 - 资本支出 + 利息支出 * (1 - 所得税费用 / 利润总额),"year,经营活动产生的现金流量净额,购建固定资产、无形资产和其他长期资产支付的现金,财务费用——利息费用,所得税费用,利润总额
+2018,31097434512.07,17091538286.84,8977847814.95,2068669795.4,5290162084.26
+2019,33721790020.54,12149537182.64,9454253878.8,2320840976.84,7115505053.97
+2020,42241530004.6,14979824312.92,9371327494.27,3399788438.04,13554670893.97
+","year,公司自由现金流
+2018,19473038260.910313
+2019,27942843696.163544
+2020,34282512755.51453
+"
+CN,fundamental,2021至2025年间，三环集团公司自由现金流的最小值是多少？（单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-751130012.2975,medium,cash flow,经营活动现金流净额 - 资本支出 + 利息支出 * (1 - 所得税费用 / 利润总额),"year,经营活动产生的现金流量净额,购建固定资产、无形资产和其他长期资产支付的现金,财务费用——利息费用,所得税费用,利润总额
+2021,1154322229.5,1910365165.97,5621115.1,290216023.72,2303528059.91
+2022,2073873553.34,1124809077.02,8899349.83,160214569.93,1666317752.73
+2023,1718967962.8,545884685.5,22488078.18,199696992.92,1782847583.54
+2024,2403122345.06,639035150.37,27700138.22,328710112.75,2518943871.33
+2025,2877609076.65,580091972.02,20395986.9,391196290.39,3008176444.88
+","year,公司自由现金流
+2021,-751130012.2974672
+2022,957108163.7150687
+2023,1193052462.8777626
+2024,1788172597.5198545
+2025,2315260709.0782647
+"
+CN,fundamental,中油资本的公司自由现金流在2016到2020年的最大值是？（单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,47382521739.3466,medium,cash flow,经营活动现金流净额 - 资本支出 + 利息支出 * (1 - 所得税费用 / 利润总额),"year,经营活动产生的现金流量净额,购建固定资产、无形资产和其他长期资产支付的现金,财务费用——利息费用,所得税费用,利润总额
+2016,-24720867479.97,1629192762.99,0.0,2308923773.7,14509801940.47
+2017,51141968204.84,3791280438.22,38036395.3,2632631230.42,16144627518.43
+2018,-27130947462.34,3107504926.05,39561019.38,2893235000.98,17227783577.7
+2019,30033523276.48,1204461754.73,164956030.05,3367837224.75,18590050993.45
+2020,-33102107033.02,130580400.96,290749862.18,3298148944.26,18415555996.22
+","year,公司自由现金流
+2016,-26350060242.960003
+2017,47382521739.346596
+2018,-30205535248.962894
+2019,28964133553.168415
+2020,-32994009654.293167
+"
+CN,fundamental,对于申万宏源的公司自由现金流，其2023-2025年的最大值是多少？（单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,68661712921.06,medium,cash flow,经营活动现金流净额 - 资本支出 + 利息支出 * (1 - 所得税费用 / 利润总额),"year,经营活动产生的现金流量净额,购建固定资产、无形资产和其他长期资产支付的现金,财务费用——利息费用,所得税费用,利润总额
+2023,69247276362.39,585563441.33,0.0,616879355.07,6092082309.29
+2024,26417679792.44,541594439.94,0.0,1086209720.6,7336724112.22
+2025,1523845538.8,417841197.33,0.0,2493700219.16,13021106583.49
+","year,公司自由现金流
+2023,68661712921.06
+2024,25876085352.5
+2025,1106004341.47
+"
+CN,fundamental,计算天孚通信在2018-2020年的公司自由现金流的平均值。（单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,72912271.4434,medium,cash flow,经营活动现金流净额 - 资本支出 + 利息支出 * (1 - 所得税费用 / 利润总额),"year,经营活动产生的现金流量净额,购建固定资产、无形资产和其他长期资产支付的现金,财务费用——利息费用,所得税费用,利润总额
+2018,135533944.7,51849914.36,0.0,19089643.76,155183736.86
+2019,176849433.54,148732975.38,0.0,24761979.39,192040376.21
+2020,239530592.29,132925924.77,376148.17,38061747.58,321800446.43
+","year,公司自由现金流
+2018,83684030.33999999
+2019,28116458.159999996
+2020,106936325.83034304
+"
+CN,fundamental,康龙化成2019-2021年的股权自由现金流的最小值是？（单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-378820843.65,medium,cash flow,经营活动现金流净额 - 资本支出 + 净借款（取得借款收到的现金 + 发行债券收到的现金 - 偿还债务支付的现金）,"year,经营活动产生的现金流量净额,购建固定资产、无形资产和其他长���资产支付的现金,取得借款收到的现金,发行债券收到的现金,偿还债务支付的现金
+2019,938586321.07,754605945.31,726512441.49,0.0,1289313660.9
+2020,1648609957.11,1315838354.81,732502629.76,0.0,760963472.86
+2021,2058043830.38,2092821567.79,4621423607.31,0.0,158554796.58
+","year,股权自由现金流
+2019,-378820843.65
+2020,304310759.1999999
+2021,4428091073.320001
+"
+CN,fundamental,2020至2024年间，天赐材料股权自由现金流的最小值是多少？（单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-128468644.64,medium,cash flow,经营活动现金流净额 - 资本支出 + 净借款（取得借款收到的现金 + 发行债券收到的现金 - 偿还债务支付的现金）,"year,经营活动产生的现金流量净额,购建固定资产、无形资产和其他长期资产支付的现金,取得借款收到的现金,发行债券收到的现金,偿还债务支付的现金
+2020,632457691.55,357150206.68,812650000.0,0.0,815500000.0
+2021,2046599671.85,1610174220.45,664000000.0,0.0,746500000.0
+2022,4163859812.88,3681233288.95,1836377777.77,3396847200.0,946977062.29
+2023,2274216054.11,3102491757.55,1905235000.0,0.0,1205427941.2
+2024,881535736.54,771505576.74,2487933125.0,0.0,2087837441.18
+","year,股权自由现金流
+2020,272457484.86999995
+2021,353925451.39999986
+2022,4768874439.410001
+2023,-128468644.6400001
+2024,510125843.6199999
+"
+CN,fundamental,三峡能源的股权自由现金流在2017到2021年的平均值是？（单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1208761857.296,medium,cash flow,经营活动现金流净额 - 资本支出 + 净借款（取得借款收到的现金 + 发行债券收到的现金 - 偿还债务支付的现金）,"year,经营活动产生的现金流量净额,购建固定资产、无形资产和其他长期资产支付的现金,取得借款收到的现金,发行债券收到的现金,偿还债务支付的现金
+2017,4689303420.31,6890616884.76,5279815986.61,0.0,4554304036.43
+2018,5071519629.59,10620836319.34,4870277645.43,0.0,5585436393.05
+2019,6121870403.69,14274716770.88,16451848918.5,0.0,4068543193.16
+2020,8976264717.66,25455981078.22,44429613719.55,0.0,23961384828.73
+2021,8830607140.22,29909812757.37,56166149135.56,0.0,29521829168.7
+","year,股权自由现金流
+2017,-1475801514.2700005
+2018,-6264475437.37
+2019,4230459358.1500006
+2020,3988512530.260002
+2021,5565114349.709995
+"
+CN,fundamental,对于浙能电力的股权自由现金流，其2018-2022年的平均值是多少？（单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3580037283.52,medium,cash flow,经营活动现金流净额 - 资本支出 + 净借款（取得借款收到的现金 + 发行债券收到的现金 - 偿还债务支付的现金）,"year,经营活动产生的现金流量净额,购建固定资产、无形资产和其他长期资产支付的现金,取得借款收到的现金,发行债券收到的现金,偿还债务支付的现金
+2018,6774212687.19,2091207205.08,7141000000.0,0.0,8412790000.0
+2019,9027910953.58,1752576338.88,9499000000.0,0.0,10341756667.0
+2020,10128263993.26,3202337901.65,5939000000.0,0.0,8166259687.23
+2021,845659226.63,4711582057.52,16666000000.0,0.0,13651480708.07
+2022,224071023.66,5636604447.68,43736533393.84,0.0,34114869847.45
+","year,股权自由现金流
+2018,3411215482.1099997
+2019,6432577947.7
+2020,4698666404.380001
+2021,-851403538.96
+2022,4209130122.369995
+"
+CN,fundamental,计算润泽科技在2017-2019年的股权自由现金流的最小值。（单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-104082367.49,medium,cash flow,经营活动现金流净额 - 资本支出 + 净借款（取得借款收到的现金 + 发行债券收到的现金 - 偿还债务支付的现金）,"year,经营活动产生的现金流量净额,购建固定资产、无形资产和其他长期资产支付的现金,取得借款收到的现金,发行债券收到的现金,偿还债务支付的现金
+2017,20808239.5,32889746.18,120966325.57,0.0,46000000.0
+2018,-55575707.3,23079845.5,238782396.35,0.0,179728721.41
+2019,-79186127.7,33970167.91,238960214.48,0.0,229886286.36
+","year,股权自由现金流
+2017,62884818.88999999
+2018,-19601877.86
+2019,-104082367.49000002
+"
+CN,fundamental,康龙化成2016-2020年的经营现金流利润率的最大值是？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,32.1141,medium,cash flow,经营活动现金流净额 / 营业收入 * 100%,"year,经营活动产生的现金流量净额,营业收入
+2016,235767733.77,1634238680.42
+2017,552215324.46,2294118066.74
+2018,790745614.99,2908123033.72
+2019,938586321.07,3757160086.84
+2020,1648609957.11,5133596758.68
+","year,经营现金流利润率
+2016,14.426762540549316
+2017,24.07091999605374
+2018,27.190927131390914
+2019,24.981270411062205
+2020,32.1141303964417
+"
+CN,fundamental,2017至2021年间，渝农商行经营现金流利润率的最小值是多少？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-311.0049,medium,cash flow,经营活动现金流净额 / 营业收入 * 100%,"year,经营活动产生的现金流量净额,营业收入
+2017,-19366966000.0,23987747000.0
+2018,-81223277000.0,26116394000.0
+2019,23851259000.0,26629808000.0
+2020,42370280000.0,28186176000.0
+2021,41228845000.0,30841803000.0
+","year,经营现金流利润率
+2017,-80.73691122388442
+2018,-311.0049457823312
+2019,89.56601940201747
+2020,150.32291006768708
+2021,133.67845258592698
+"
+CN,fundamental,招商轮船的经营现金流利润率在2018到2020年的最小值是？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,25.1683,medium,cash flow,经营活动现金流净额 / 营业收入 * 100%,"year,经营活动产生的现金流量净额,营业收入
+2018,4122254821.11,10931097409.67
+2019,4683665408.22,18609358690.57
+2020,8071813721.95,21610397166.45
+","year,经营现金流利润率
+2018,37.71126234282133
+2019,25.16833323543478
+2020,37.3515288024481
+"
+CN,fundamental,对于大全能源的经营现金流利润率，其2017-2021年的最大值是多少？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,24.4081,medium,cash flow,经营活动现金流净额 / 营业收入 * 100%,"year,经营活动产生的现金流量净额,营业收入
+2017,403412016.33,2201388649.24
+2018,-415644463.05,1993708983.68
+2019,-757716012.4,2426085064.63
+2020,416441078.27,4664256098.09
+2021,2643857536.32,10831866667.19
+","year,经营现金流利润率
+2017,18.32534279984012
+2018,-20.847800077762653
+2019,-31.23204637161222
+2020,8.928349334002725
+2021,24.40814328271148
+"
+CN,fundamental,计算国信证券在2019-2021年的经营现金流利润率的最大值。（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,203.2356,medium,cash flow,经营活动现金流净额 / 营业收入 * 100%,"year,经营活动产生的现金流量净额,营业收入
+2019,28641814015.85,14092914615.73
+2020,-3472276551.18,18784071244.98
+2021,-6715387830.31,23818037003.89
+","year,经营现金流利润率
+2019,203.23556054104696
+2020,-18.4852181717952
+2021,-28.19454780934815
+"
+CN,fundamental,南方航空2023-2025年的资本支出占收入比的最大值是？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,9.7484,medium,cash flow,资本支出 / 营业收入 * 100%,"year,购建固定资产、无形资产和其他长期资产支付的现金,营业收入
+2023,11369000000.0,159929000000.0
+2024,16139000000.0,174224000000.0
+2025,17767000000.0,182256000000.0
+","year,资本支出占收入比
+2023,7.108779520912405
+2024,9.263362108549913
+2025,9.748375910806777
+"
+CN,fundamental,2022至2024年间，龙佰集团资本支出占收入比的最大值是多少？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,19.4027,medium,cash flow,资本支出 / 营业收入 * 100%,"year,购建固定资产、无形资产和其他长期资产支付的现金,营业收入
+2022,4678561480.58,24112968453.5
+2023,2940696549.31,26764876739.31
+2024,1582633931.01,27513124442.06
+","year,资本支出占收入比
+2022,19.402677399932095
+2023,10.987147738255608
+2024,5.752287183314549
+"
+CN,fundamental,中国神华的资本支出占收入比在2018到2020年的最小值是？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,7.8591,medium,cash flow,资本支出 / 营业收入 * 100%,"year,购建固定资产、无形资产和其他长期资产支付的现金,营业收入
+2018,20935000000.0,264101000000.0
+2019,19009000000.0,241871000000.0
+2020,20673000000.0,233263000000.0
+","year,资本支出占收入比
+2018,7.926891605862909
+2019,7.859148058262462
+2020,8.862528562180886
+"
+CN,fundamental,对于光大证券的资本支出占收入比，其2021-2025年的最小值是多少？（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注���列出原始数据和关键计算过程。,1.8101,medium,cash flow,资本支出 / 营业收入 * 100%,"year,购建固定资产、无形资产和其他长期资产支付的现金,营业收入
+2021,302413475.46,16706575061.43
+2022,286483788.79,10779684708.58
+2023,506041359.94,10031455479.22
+2024,372008034.44,9598335237.35
+2025,269133305.23,10851821801.07
+","year,资本支出占收入比
+2021,1.8101464504126488
+2022,2.657626790902109
+2023,5.0445457390331505
+2024,3.875755797655464
+2025,2.4800748681982894
+"
+CN,fundamental,计算美的集团在2018-2020年的资本支出占收入比的平均值。（单位：%）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.6801,medium,cash flow,资本支出 / 营业收入 * 100%,"year,购建固定资产、无形资产和其他长期资产支付的现金,营业收入
+2018,5611851000.0,259664820000.0
+2019,3451856000.0,278216017000.0
+2020,4656582000.0,284221249000.0
+","year,资本支出占收入比
+2018,2.161190337605225
+2019,1.240710738806961
+2020,1.6383651878188743
+"
+CN,fundamental,北新建材2021-2025年的现金流量充裕率的最小值是？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.4768,medium,cash flow,经营活动现金流净额 / (资本支出 + 偿还债务支付的现金 + 分配股利、利润或偿付利息支付的现金),"year,经营活动产生的现金流量净额,购建固定资产、无形资产和其他长期资产支付的现金,偿还债务支付的现金,分配股利、利润或偿付利息支付的现金
+2021,3830922519.41,1627934768.69,4501790814.61,1078411480.26
+2022,3676817286.44,1452960098.82,5056328607.6,1202749835.27
+2023,4734387489.8,1162308399.89,2129869855.69,1202290063.12
+2024,5134465515.62,1194038870.99,2172732000.0,1489250056.73
+2025,4203945682.37,1192476186.32,3657204635.5,1568186364.73
+","year,现金流量充裕率
+2021,0.5314719303517184
+2022,0.47676334429136163
+2023,1.0533809906061138
+2024,1.0573400716439532
+2025,0.6550378124340527
+"
+CN,fundamental,2021至2023年间，中国广核现金流量充裕率的最小值是多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.2822,medium,cash flow,经营活动现金流净额 / (资本支出 + 偿还债务支付的现金 + 分配股利、利润或偿付利息支付的现金),"year,经营活动产生的现金流量净额,购建固定资产、无形资产和其他长期资产支付的现金,偿还债务支付的现金,分配股利、利润或偿付利息支付的现金
+2021,34911101289.22,14440815872.68,69457523645.45,16822925444.82
+2022,31368408488.65,11839683132.7,82498752655.97,16828618943.96
+2023,33119894272.61,14246096669.35,62328113168.44,17429516086.28
+","year,现金流量充裕率
+2021,0.34661102898242924
+2022,0.2821736040780675
+2023,0.3523253354804475
+"
+CN,fundamental,中芯国际的现金流量充裕率在2019到2023年的最小值是？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.2706,medium,cash flow,经营活动现金流净额 / (资本支出 + 偿还债务支付的现金 + 分配股利、利润或偿付利息支付的现金),"year,经营活动产生的现金流量净额,购建固定资产、无形资产和其他长期资产支付的现金,偿还债务支付的现金,分配股利、利润或偿付利息支付的现金
+2019,8139992000.0,12722755000.0,15413365000.0,774365000.0
+2020,13174290000.0,37168174000.0,10897759000.0,627423000.0
+2021,20844994000.0,28361900000.0,9547079000.0,839043000.0
+2022,36591209000.0,42205585000.0,8834742000.0,1103979000.0
+2023,23047761000.0,53865069000.0,20612581000.0,1672753000.0
+","year,现金流量充裕率
+2019,0.28155847264409434
+2020,0.2705562130488603
+2021,0.5379627894296127
+2022,0.7017297152252827
+2023,0.3026610509205053
+"
+CN,fundamental,对于新易盛的现金流量充裕率，其2018-2020年的最小值是多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.365,medium,cash flow,经营活动现金流净额 / (资本支出 + 偿还债务支付的现金 + 分配股利、利润或偿付利息支付的现金),"year,经营活动产生的现金流量净额,购建固定资产、无形资产和其他长期资产支付的现金,偿还债务支付的现金,分配股利、利润或偿付利息支付的现金
+2018,320626742.05,68778900.37,23336651.33,28781240.85
+2019,109475914.46,99134868.22,0.0,28592700.0
+2020,154433184.81,290640163.86,89554421.58,42853904.6
+","year,现金流量充裕率
+2018,2.6520698794998756
+2019,0.8571048207183976
+2020,0.36504842457988224
+"
+CN,fundamental,计算农业银行在2019-2021年的现金流量充裕率的平均值。按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.1316,medium,cash flow,经营活动现金流净额 / (资本支出 + 偿还债务支付的现金 + 分配股利、利润或偿付利息支付的现金),"year,经营活动产生的现金流量净额,购建固定资产、无形资产和其他长期资产支付的现金,偿还债务支付的现金,分配股利、利润或偿付利息支付的现金
+2019,358396000000.0,14110000000.0,1141046000000.0,93903000000.0
+2020,-60936000000.0,22844000000.0,1468391000000.0,108242000000.0
+2021,239615000000.0,26033000000.0,1497042000000.0,119106000000.0
+","year,现金流量充裕率
+2019,0.286932803014109
+2020,-0.03809745310498369
+2021,0.14591266127180866
+"
+CN,fundamental,中海油服2020-2022年的每股净资产的最大值是？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,8.3779,medium,per share,股东权益合计 / 股本,"year,股东权益合计,股本
+2020,38688807570.0,4771592000.0
+2021,38216329797.0,4771592000.0
+2022,39975967381.0,4771592000.0
+","year,每股净资产
+2020,8.108155007804523
+2021,8.00913611159546
+2022,8.377909800544556
+"
+CN,fundamental,2017至2021年间，上海莱士每股净资产的平均值是多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.9163,medium,per share,股东权益合计 / 股本,"year,股东权益合计,股本
+2017,12480145305.76,4970238896.0
+2018,10892165272.54,4974622099.0
+2019,11491100466.74,4974622099.0
+2020,25130063610.13,6740787907.0
+2021,25904166652.34,6740787907.0
+","year,每股净资产
+2017,2.510974938408675
+2018,2.1895462722142347
+2019,2.3099444014149224
+2020,3.72806027378989
+2021,3.8428989325475897
+"
+CN,fundamental,恒生电子的每股净资产在2017到2021年的平均值是？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,5.2031,medium,per share,股东权益合计 / 股本,"year,股东权益合计,股本
+2017,3285789521.66,617805180.0
+2018,3414402602.56,617805180.0
+2019,4893376979.6,803146734.0
+2020,5037760811.73,1044090754.0
+2021,6215321128.46,1461560480.0
+","year,每股净资产
+2017,5.318488138380451
+2018,5.526665546183993
+2019,6.092755871930123
+2020,4.825021955639308
+2021,4.252524075130986
+"
+CN,fundamental,对于华润微的每股净资产，其2018-2022年的复合年均增长率是多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,29.4632,medium,per share,股东权益合计 / 股本,"year,股东权益合计,股本
+2018,5019796688.24,829723968.05
+2019,6390821984.34,829723968.05
+2020,11800763568.35,1130152498.83
+2021,17500412620.22,1217714998.27
+2022,20695877705.58,1217714998.27
+","year,每股净资产
+2018,6.049959843919444
+2019,7.702347082198406
+2020,10.441744437646108
+2021,14.371517674564842
+2022,16.99566625604719
+"
+CN,fundamental,计算恒瑞医药在2016-2018年的每股净资产的最大值。按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,5.6284,medium,per share,股东权益合计 / 股本,"year,股东权益合计,股本
+2016,12874391843.05,2347459674.0
+2017,15943214825.23,2832648038.0
+2018,19797738473.68,3685862057.0
+","year,每股净资产
+2016,5.484393187088248
+2017,5.628378327046503
+2018,5.371264080835894
+"
+CN,fundamental,中金公司2019-2021年的每股资本公积金的平均值是？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,7.5145,medium,per share,资本公积 / 股本,"year,资本公积,股本
+2019,26931646975.0,4368667868.0
+2020,39533272979.0,4827256868.0
+2021,39531886525.0,4827256868.0
+","year,每股资本公积金
+2019,6.164727507044259
+2020,8.1895938128064
+2021,8.189306599169772
+"
+CN,fundamental,2018至2022年间，福莱特每股资本公积金的复合年均增长率是多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,60.0084,medium,per share,资本公积 / 股本,"year,资本公积,股本
+2018,622230162.41,450000000.0
+2019,839115113.41,487500000.0
+2020,2045095156.05,510312197.0
+2021,4832768261.83,536723313.5
+2022,4864749251.17,536723491.75
+","year,每股资本公积金
+2018,1.3827336942444444
+2019,1.7212617710974358
+2020,4.007537284181354
+2021,9.004207829757334
+2022,9.063790435757463
+"
+CN,fundamental,白云山的每股资本公积金在2019到2023年的复合年均增长率是？按中国会计准则，写出指标公式，搜集原始数据，计���得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.6043,medium,per share,资本公积 / 股本,"year,资本公积,股本
+2019,9865084049.39,1625790949.0
+2020,9885011185.13,1625790949.0
+2021,9956953383.38,1625790949.0
+2022,10105714430.9,1625790949.0
+2023,10105714430.9,1625790949.0
+","year,每股资本公积金
+2019,6.067867492716617
+2020,6.080124379588977
+2021,6.124374963155241
+2022,6.215875686302643
+2023,6.215875686302643
+"
+CN,fundamental,对于大华股份的每股资本公积金，其2016-2020年的最小值是多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.2033,medium,per share,资本公积 / 股本,"year,资本公积,股本
+2016,589582012.29,2899411405.0
+2017,593340751.52,2898756130.0
+2018,1501180862.83,2997621930.0
+2019,1882855119.53,3003713230.0
+2020,1989655334.05,2995579590.0
+","year,每股资本公积金
+2016,0.20334541392548602
+2017,0.20468805408615037
+2018,0.5007905926382117
+2019,0.6268425030474697
+2020,0.6641971192125795
+"
+CN,fundamental,计算荣盛石化在2021-2025年的每股资本公积金的平均值。按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0344,medium,per share,资本公积 / 股本,"year,资本公积,股本
+2021,10820095850.58,10125525000.0
+2022,10822594513.39,10125525000.0
+2023,10825322259.36,10125525000.0
+2024,10819566635.04,10125525000.0
+2025,8958186957.39,9989442254.0
+","year,每股资本公积金
+2021,1.0685960333493818
+2022,1.0688428020660656
+2023,1.0691121951069205
+2024,1.068543767857963
+2025,0.8967654779527794
+"
+CN,fundamental,山东黄金2021-2023年的每股未分配利润的最大值是？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.2122,medium,per share,未分配利润 / 股本,"year,未分配利润,股本
+2021,12393180134.99,4473429525.0
+2022,12911705824.94,4473429525.0
+2023,14369371415.15,4473429525.0
+","year,每股未分配利润
+2021,2.7703979834107257
+2022,2.8863103247256365
+2023,3.212160007181515
+"
+CN,fundamental,2018至2020年间，长电科技每股未分配利润的最大值是多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.9468,medium,per share,未分配利润 / 股本,"year,未分配利润,股本
+2018,142622532.75,1602874555.0
+2019,231285970.34,1602874555.0
+2020,1517677603.83,1602874555.0
+","year,每股未分配利润
+2018,0.08897922317445485
+2019,0.14429449242832357
+2020,0.9468473993150387
+"
+CN,fundamental,中微公司的每股未分配利润在2018到2020年的平均值是？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-0.7736,medium,per share,未分配利润 / 股本,"year,未分配利润,股本
+2018,-653799774.89,481376013.0
+2019,-482123079.33,534862237.0
+2020,-32788490.39,534862237.0
+","year,每股未分配利润
+2018,-1.3581893514291083
+2019,-0.9013967447658863
+2020,-0.06130268342350743
+"
+CN,fundamental,对于公牛集团的每股未分配利润，其2017-2021年的最小值是多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.3087,medium,per share,未分配利润 / 股本,"year,未分配利润,股本
+2017,706719301.13,540000000.0
+2018,2309635606.18,540000000.0
+2019,4398239912.17,540000000.0
+2020,4431669986.31,600613800.0
+2021,6010878918.97,601180520.0
+","year,每股未分配利润
+2017,1.308739446537037
+2018,4.277102974407407
+2019,8.14488872624074
+2020,7.378568368409118
+2021,9.99845922980006
+"
+CN,fundamental,计算金龙鱼在2018-2020年的每股未分配利润的平均值。按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,6.8092,medium,per share,未分配利润 / 股本,"year,未分配利润,股本
+2018,30055501000.0,4870217000.0
+2019,34105831000.0,4879432000.0
+2020,39397115000.0,5421592000.0
+","year,每股未分配利润
+2018,6.171285796916236
+2019,6.9897133518819405
+2020,7.266705978612924
+"
+CN,fundamental,东方电气2023-2025年的每股经营现金流的最大值是？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.2268,medium,per share,经营活动现金流净额 / 股本,"year,经营活动产生的现金流量净额,股本
+2023,-3495876222.59,3118533797.0
+2024,10059491408.32,3117499457.0
+2025,2014320912.85,3458360326.0
+","year,每股经营现金流
+2023,-1.1209999474602457
+2024,3.2267820883601197
+2025,0.5824496937772238
+"
+CN,fundamental,2022至2024年间，欧派家居每股经营现金流的最大值是多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,9.0277,medium,per share,经营活动现金流净额 / 股本,"year,经营活动产生的现金流量净额,股本
+2022,2409760167.55,609151954.0
+2023,4878065634.96,609152447.0
+2024,5499268407.93,609152528.0
+","year,每股经营现金流
+2022,3.955926188410454
+2023,8.007955412448668
+2024,9.027736330645254
+"
+CN,fundamental,联影医疗的每股经营现金流在2018到2022年的最大值是？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,4.5705,medium,per share,经营活动现金流净额 / 股本,"year,经营活动产生的现金流量净额,股本
+2018,211793462.36,689510104.0
+2019,257540336.98,689510104.0
+2020,3309760143.78,724157988.0
+2021,942451627.05,724157988.0
+2022,682813362.6,824157988.0
+","year,每股经营现金流
+2018,0.3071651323618602
+2019,0.3735120565832926
+2020,4.5704945586818555
+2021,1.3014447712617097
+2022,0.8284981430041057
+"
+CN,fundamental,对于中航机载的每股经营现金流，其2020-2022年的平均值是多少？按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.3131,medium,per share,经营活动现金流净额 / 股本,"year,经营活动产生的现金流量净额,股本
+2020,809572495.7,1928214265.0
+2021,1549833363.72,1928214265.0
+2022,-929976848.11,3270278974.0
+","year,每股经营现金流
+2020,0.4198560867404433
+2021,0.8037661539237705
+2022,-0.28437232893697467
+"
+CN,fundamental,计算上港集团在2017-2021年的每股经营现金流的复合年均增长率。按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,8.773,medium,per share,经营活动现金流净额 / 股本,"year,经营活动产生的现金流量净额,股本
+2017,9610730397.08,23173674650.0
+2018,5710153688.29,23173674650.0
+2019,6173031012.32,23173674650.0
+2020,11186416959.56,23173674650.0
+2021,13514651397.77,23278679750.0
+","year,每股经营现金流
+2017,0.4147262159426235
+2018,0.24640691536980736
+2019,0.26638118923966164
+2020,0.48272089465793894
+2021,0.5805591873297712
+"
+CN,fundamental,巨化股份2017-2019年的权益乘数的平均值是？（用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.1781,medium,solvency,平均总资产 / 平均股东权益,"year,资产合计,股东权益合计
+2016,11860585419.33,10438803305.41
+2017,13127066257.4,10996864313.7
+2018,15266821930.51,12885074132.09
+2019,15620330679.45,13297208441.57
+","year,权益乘数
+2017,1.1657043820950737
+2018,1.1889272829490682
+2019,1.1796967099053928
+"
+CN,fundamental,2021至2023年间，国轩高科权益乘数的最小值是多少？（用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.3464,medium,solvency,平均总资产 / 平均股东权益,"year,资产合计,股东权益合计
+2020,27834612190.42,11075325487.83
+2021,43613293048.19,19374284518.94
+2022,72627365266.66,24497774208.65
+2023,93592652122.38,26295881035.85
+","year,权益乘数
+2021,2.3464308811418166
+2022,2.649537352158705
+2023,3.272456305594162
+"
+CN,fundamental,生益科技的权益乘数在2018到2022年的平均值是？（用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.7425,medium,solvency,平均总资产 / 平均股东权益,"year,资产合计,股东权益合计
+2017,12840963367.92,6418382981.8
+2018,12885924860.59,6841524456.83
+2019,15534907870.03,9353617058.83
+2020,18357445724.02,10643320545.13
+2021,24431164539.25,14866220738.99
+2022,25195631347.65,15296164509.03
+","year,权益乘数
+2018,1.940201192774546
+2019,1.7548986962008506
+2020,1.6948771989636198
+2021,1.6773571028463157
+2022,1.6453206693975815
+"
+CN,fundamental,对于龙佰集团的权益乘数，其2021-2025年的最大值是多少？（用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.5586,medium,solvency,平均总资产 / 平均股东权益,"year,资产合计,股东权益合计
+2020,34771428954.42,15837588488.5
+2021,45331176466.09,20788973993.05
+2022,59188957444.86,23267139512.83
+2023,63817240694.66,25024696859.38
+2024,66200879676.09,25792308371.01
+2025,64424518688.7,27352130431.63
+","year,权益乘数
+2021,2.187008553173951
+2022,2.372432009850349
+2023,2.547142692844563
+2024,2.558555345425895
+2025,2.4579316539570093
+"
+CN,fundamental,计算格力电器在2019-2023年的权益乘数的平均值。（用期初期末平均值）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.8388,medium,solvency,平均总资产 / 平均股东权益,"year,资产合计,股东权益合计
+2018,251234157276.81,92714711727.46
+2019,282972157415.28,112047656523.08
+2020,279217923628.27,116880487088.14
+2021,319598183780.38,107925451166.51
+2022,355070769579.7,101876048014.19
+2023,368053902576.37,120646153416.44
+","year,权益乘数
+2019,2.6089086547311955
+2020,2.455749093035482
+2021,2.6637023561643565
+2022,3.215748962684934
+2023,3.2496742684864186
+"
+CN,fundamental,牧原股份2019-2023年的EBIT的最小值是？（单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-930730855.06,medium,valuation,利润总额 + 利息支出,"year,利润总额,财务费用——利息费用
+2019,6319352276.5,565627830.6
+2020,30372513238.14,922578362.49
+2021,7610601758.08,2218548918.12
+2022,14930032188.22,2889858125.59
+2023,-4170088485.57,3239357630.51
+","year,EBIT
+2019,6884980107.1
+2020,31295091600.63
+2021,9829150676.2
+2022,17819890313.809998
+2023,-930730855.06
+"
+CN,fundamental,2016至2018年间，伊利股份EBIT的平均值是多少？（单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,7208400851.6367,medium,valuation,利润总额 + 利息支出,"year,利润总额,财务费用——利息费用
+2016,6632072003.91,0.0
+2017,7073973345.81,209922255.6
+2018,7577632378.18,131602571.41
+","year,EBIT
+2016,6632072003.91
+2017,7283895601.410001
+2018,7709234949.59
+"
+CN,fundamental,荣盛石化的EBIT在2017到2019年的最大值是？（单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3967817551.33,medium,valuation,利润总额 + 利息支出,"year,利润总额,财务费用——利息费用
+2017,2345163598.63,910030050.73
+2018,2293936063.93,1079978827.13
+2019,3144120793.75,823696757.58
+","year,EBIT
+2017,3255193649.36
+2018,3373914891.06
+2019,3967817551.33
+"
+CN,fundamental,对于生益科技的EBIT，其2021-2025年的最大值是多少？（单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,4536781243.55,medium,valuation,利润总额 + 利息支出,"year,利润总额,财务费用——利息费用
+2021,3310073614.91,139310745.7
+2022,1772771571.12,171414524.25
+2023,1271189623.81,162230363.78
+2024,2067930912.75,118277971.11
+2025,4416350481.6,120430761.95
+","year,EBIT
+2021,3449384360.6099997
+2022,1944186095.37
+2023,1433419987.59
+2024,2186208883.86
+2025,4536781243.55
+"
+CN,fundamental,计算川投能源在2017-2019年的EBIT的复合年均增长率。（单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-4.0804,medium,valuation,利润总额 + 利息支出,"year,利润总额,财务费用——利息费用
+2017,3327446308.06,279016451.33
+2018,3639430962.38,304322581.44
+2019,3020271211.59,297882959.08
+","year,EBIT
+2017,3606462759.39
+2018,3943753543.82
+2019,3318154170.67
+"
+CN,fundamental,恒立液压2019-2021年的EBITDA的平均值是？（单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2760272609.7567,medium,valuation,利润总额 + 利息支出 + 折旧与摊销,"year,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+2019,1492824438.85,55925448.16,251329223.47,10503165.98,2103580.57
+2020,2609112777.25,44104910.61,294836056.24,12846732.11,2896029.83
+2021,3068332803.56,29405587.24,389099751.93,13628666.72,3868656.75
+","year,EBITDA
+2019,1812685857.03
+2020,2963796506.0400004
+2021,3504335466.1999993
+"
+CN,fundamental,2021至2023年间，北方稀土EBITDA的复合年均增长率是多少？（单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-27.7967,medium,valuation,利润总额 + 利息支出 + 折旧与摊销,"year,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+2021,6695713432.5,440593228.69,442024337.44,40397923.33,30032852.74
+2022,7437423480.2,349885035.27,439070262.76,36877394.58,34160433.9
+2023,3132100036.33,250726572.14,520616481.38,23358395.41,60743158.84
+","year,EBITDA
+2021,7648761774.699999
+2022,8297416606.709999
+2023,3987544644.1
+"
+CN,fundamental,温氏股份的EBITDA在2023到2025年的最大值是？（单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,16203462683.5,medium,valuation,利润总额 + 利息支出 + 折旧与摊销,"year,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+2023,-6370677489.2,1301447487.26,5327517174.03,55092498.19,52062833.71
+2024,9654325308.2,1122851211.6,5296978833.85,55332771.74,73974558.11
+2025,5597845875.62,792096746.89,5390073757.01,57868198.42,92312014.65
+","year,EBITDA
+2023,365442503.9900001
+2024,16203462683.500002
+2025,11930196592.59
+"
+CN,fundamental,对于天合光能的EBITDA，其2019-2021年的最小值是多少？（单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2197952636.88,medium,valuation,利润总额 + 利息支出 + 折旧与摊销,"year,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+2019,869812364.89,443275665.18,803366320.5,53138133.05,28360153.26
+2020,1406890731.94,429292425.28,1092537065.73,50653132.04,22705361.56
+2021,2273659994.55,535400965.26,1230129576.12,48734037.46,14686084.13
+","year,EBITDA
+2019,2197952636.88
+2020,3002078716.5499997
+2021,4102610657.5200005
+"
+CN,fundamental,计算首创证券在2018-2022年的EBITDA的复合年均增长率。（单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,37.2613,medium,valuation,利润总额 + 利息支出 + 折旧与摊销,"year,利润总额,财务费用——利息费用,固定资产折旧、油气资产折耗、生产性生物资产折旧,无形资产摊销,长期待摊费用摊销
+2018,212748700.0,0.0,0.0,0.0,0.0
+2019,586350268.45,0.0,3891464.3,8099721.34,2422383.38
+2020,785487075.92,0.0,3540417.1,8682282.49,2524620.45
+2021,1082654564.12,0.0,59712233.22,10268743.95,3016051.37
+2022,664027019.62,0.0,67184843.83,13363559.57,10620116.4
+","year,EBITDA
+2018,212748700.0
+2019,600763837.47
+2020,800234395.96
+2021,1155651592.6599998
+2022,755195539.4200001
+"
+CN,fundamental,中国石化2021-2023年的NOPAT的最大值是？（单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,96815917045.077,medium,valuation,EBIT × (1 - 实际税率) = (利润总额 + 利息支出) × (1 - 所得税费用 / 利润总额),"year,利润总额,财务费用——利息费用,所得税费用
+2021,108348000000.0,15018000000.0,23318000000.0
+2022,94515000000.0,16769000000.0,17901000000.0
+2023,86116000000.0,18069000000.0,16070000000.0
+","year,NOPAT
+2021,96815917045.07698
+2022,90206976416.44183
+2023,84743166310.55785
+"
+CN,fundamental,2018至2022年间，海尔智家NOPAT的复合年均增长率是多少？（单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,8.7192,medium,valuation,EBIT × (1 - 实际税率) = (利润总额 + 利息支出) × (1 - 所得税费用 / 利润总额),"year,利润总额,财务费用——利息费用,所得税费用
+2018,11781495032.66,1465865741.36,1881843052.56
+2019,14630608797.96,1747107740.65,2296216280.86
+2020,13562278629.27,1327091393.08,2233126505.02
+2021,15937513226.9,712462772.83,2705253855.89
+2022,17791135761.49,988036369.52,3057822871.71
+","year,NOPAT
+2018,11131376871.447588
+2019,13807298596.431816
+2020,12437728395.684076
+2021,13823787802.582588
+2022,15551532095.893312
+"
+CN,fundamental,京东方A的NOPAT在2017到2019年的平均值是？（单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,4052979112.7152,medium,valuation,EBIT × (1 - 实际税率) = (利润总额 + 利息支出) × (1 - 所得税费用 / 利润总额),"year,利润总额,财务费用——利息费用,所得税费用
+2017,9741071539.0,2479336159.0,1880659980.0
+2018,4122290167.0,3265732314.0,1242416094.0
+2019,503750101.0,2525136209.0,979991504.0
+","year,NOPAT
+2017,9861074681.616892
+2018,5161348069.11399
+2019,-2863485412.585342
+"
+CN,fundamental,对于北京银行的NOPAT，其2023-2025年的最小值是多少？（单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,20129000000.0,medium,valuation,EBIT × (1 - 实际税率) = (利润总�� + 利息支出) × (1 - 所得税费用 / 利润总额),"year,利润总额,财务费用——利息费用,所得税费用
+2023,28017000000.0,0.0,2285000000.0
+2024,28946000000.0,0.0,2553000000.0
+2025,20714000000.0,0.0,585000000.0
+","year,NOPAT
+2023,25732000000.0
+2024,26393000000.0
+2025,20129000000.0
+"
+CN,fundamental,计算恒生电子在2019-2021年的NOPAT的平均值。（单位：元）按中国会计准则，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1428796762.8729,medium,valuation,EBIT × (1 - 实际税率) = (利润总额 + 利息支出) × (1 - 所得税费用 / 利润总额),"year,利润总额,财务费用——利息费用,所得税费用
+2019,1527343218.65,4983615.42,111930746.36
+2020,1437715190.65,2855157.07,74562836.44
+2021,1509722615.63,10507675.01,19593930.63
+","year,NOPAT
+2019,1420030865.4163334
+2020,1365859437.0223129
+2021,1500499986.180068
+"
+CN,macro,中国2024年的GDP平减指数是？（实际GDP以1978年为基期）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,730.7987,easy,inflation,GDP平减指数 = 名义GDP / 实际GDP * 100；实际GDP = 1978年GDP × t年GDP指数(1978年=100) / 100,"year,国内生产总值 (亿元),国内生产总值指数 (1978年=100)
+1978,3684.8,100.0
+2024,1348066.2,5006.1
+",
+CN,macro,中国2024年的增量资本产出率是？（名义口径）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,9.9366,easy,productivity,增量资本产出率 = \Delta K / \Delta Y = 固定资本形成总额 / GDP增量,"year,固定资本形成总额 (亿元),国内生产总值 (亿元)
+2023,523590.3,1294271.7
+2024,534534.3,1348066.2
+",
+CN,macro,中国2025年的劳动生产率是？（单位：元/人；实际GDP以1978年为基期）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,26703.9241,easy,productivity,实际GDP / 从业人数；实际GDP = 1978年GDP × t年GDP指数(1978年=100) / 100,"year,国内生产总值 (亿元),国内生产总值指数 (1978年=100),就业人员 (万人)
+1978,3684.8,100.0,40152
+2025,1401879.2,5254.4,72504
+",
+CN,macro,中国2023年的全要素生产率增长率是？（单位：%；\Delta K 直接取 6%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.0926,easy,productivity,全要素生产率增长率 = \Delta TFP * 100% = (\Delta Y - \alpha \Delta K - \beta \Delta L) * 100%；\alpha = 1 - \beta；\beta = 劳动者报酬 / GDP,"year,国内生产总值 (亿元),GDP增长率 (%),就业人员 (万人),非金融交易资金来源劳动者报酬 (亿元)
+2022,1234029.4,3.1,73351,651406.4
+2023,1294271.7,5.4,74041,688820.6
+",
+CN,macro,中国2017年的贸易开放度是？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,32.8186,easy,external trade,进出口总额 / GDP * 100%,"year,进出口总额 (人民币) (亿元),国内生产总值 (亿元)
+2017,278099.2,847382.9
+",
+CN,macro,中国2018年的中央政府杠杆率是？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,15.9835,easy,fiscal,中央财政债务余额 / GDP * 100%,"year,中央财政债务余额 (亿元),国内生产总值 (亿元)
+2018,149607.41,936010.1
+",
+CN,macro,中国2024年的财政赤字率是？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,4.8122,easy,fiscal,财政赤字 / GDP * 100%；财政赤字 = 一般公共预算支出 - 一般公共预算收入,"year,一般公共预算支出 (亿元),一般公共预算收入 (亿元),国内生产总值 (亿元)
+2024,284605.57,219734.3,1348066.2
+",
+CN,macro,中国2025年的赤字依存度是？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,24.8265,easy,fiscal,(一般公共预算支出 - 一般公共预算收入) / 一般公共预算支出 * 100%,"year,一般公共预算支出 (亿元),一般公共预算收入 (亿元)
+2025,287395.0,216045.0
+",
+CN,macro,中国2017年的宏观税负是？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,17.0371,easy,fiscal,税收 / GDP * 100%,"year,税收 (亿元),国内生产总值 (亿元)
+2017,144369.87,847382.9
+",
+CN,macro,中国2020年的企业贷款实际利率是？（单位：%；LPR用每年8月份公布的1年期LPR）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,5.65,easy,inflation,名义利率 - 通胀率 = 1年期LPR - PPI同比增速,"year,1年期LPR (%),工业生产者出厂价格指数 (上年=100)
+2020,3.85,98.2
+",
+CN,macro,中国2022年的（城镇非私营单位）实际工资增长率是？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,4.7318,easy,labor,名义工资增长率 - 通胀率 = 城镇非私营单位就业人员平均工资同比增速 - CPI同比增速,"year,城镇非私营单位就业人员平均工资 (元),居民消费价格指数 (上年=100)
+2021,106837.0,100.9
+2022,114029.0,102.0
+",
+CN,macro,中国2023年的（城镇私营单位）实际工资增长率是？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,4.5565,easy,labor,名义工资增长率 - 通胀率 = 城镇私营单位就业人员平均工资同比增速 - CPI同比增速,"year,城镇私营单位就业人员平均工资 (元),居民消费价格指数 (上年=100)
+2022,65237.0,102.0
+2023,68340.0,100.2
+",
+CN,macro,中国2023年的就业弹性是？写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.1742,easy,labor,就业弹性 = 就业增长率 / GDP增长率,"year,就业人员 (万人),GDP增长率 (%)
+2022,73351,3.1
+2023,74041,5.4
+",
+CN,macro,2018年中国的GDP平减指数是？（实际GDP以1978年为基期）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,682.3888,easy,inflation,GDP平减指数 = 名义GDP / 实际GDP * 100；实际GDP = 1978年GDP × t年GDP指数(1978年=100) / 100,"year,国内生产总值 (亿元),国内生产总值指数 (1978年=100)
+1978,3684.8,100.0
+2018,936010.1,3722.5
+",
+CN,macro,中国的GDP平减指数在2019年是多少？（实际GDP以1978年为基期）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,691.3657,easy,inflation,GDP平减指数 = 名义GDP / 实际GDP * 100；实际GDP = 1978年GDP × t年GDP指数(1978年=100) / 100,"year,国内生产总值 (亿元),国内生产总值指数 (1978年=100)
+1978,3684.8,100.0
+2019,1005872.4,3948.4
+",
+CN,macro,对于GDP平减指数，中国在2021年的值是？（实际GDP以1978年为基期）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,726.1246,easy,inflation,GDP平减指数 = 名义GDP / 实际GDP * 100；实际GDP = 1978年GDP × t年GDP指数(1978年=100) / 100,"year,国内生产总值 (亿元),国内生产总值指数 (1978年=100)
+1978,3684.8,100.0
+2021,1173823.0,4387.1
+",
+CN,macro,计算2025年度中国的GDP平减指数。（实际GDP以1978年为基期）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,724.0583,easy,inflation,GDP平减指数 = 名义GDP / 实际GDP * 100；实际GDP = 1978年GDP × t年GDP指数(1978年=100) / 100,"year,国内生产总值 (亿元),国内生产总值指数 (1978年=100)
+1978,3684.8,100.0
+2025,1401879.2,5254.4
+",
+CN,macro,2021年中国的增量资本产出率是？（名义口径）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.4932,easy,productivity,增量资本产出率 = \Delta K / \Delta Y = 固定资本形成总额 / GDP增量,"year,固定资本形成总额 (亿元),国内生产总值 (亿元)
+2020,433086.0,1034867.6
+2021,485400.7,1173823.0
+",
+CN,macro,中国的增量资本产出率在2018年是多少？（名义口径）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,4.4759,easy,productivity,增量资本产出率 = \Delta K / \Delta Y = 固定资本形成总额 / GDP增量,"year,固定资本形成总额 (亿元),国内生产总值 (亿元)
+2017,350973.2,847382.9
+2018,396684.6,936010.1
+",
+CN,macro,对于增量资本产出率，中国在2022年的值是？（名义口径）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,8.4514,easy,productivity,增量资本产出率 = \Delta K / \Delta Y = 固定资本形成总额 / GDP增量,"year,固定资本形成总额 (亿元),国内生产总值 (亿元)
+2021,485400.7,1173823.0
+2022,508826.5,1234029.4
+",
+CN,macro,计算2020年度中国的增量资本产出率。（名义口径）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,14.9365,easy,productivity,增量资本产出率 = \Delta K / \Delta Y = 固定资本形成总额 / GDP增量,"year,固定资本形成总额 (亿元),国内生产总值 (亿元)
+2019,424984.6,1005872.4
+2020,433086.0,1034867.6
+",
+CN,macro,2020年中国的劳动生产率是？（单位：元/人；实际GDP以1978年为基期）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,19835.7932,easy,productivity,实际GDP / 从业人数；实际GDP = 1978年GDP × t年GDP指数(1978年=100) / 100,"year,国内生产总值 (亿元),国内生产总值指数 (1978年=100),就业人员 (万人)
+1978,3684.8,100.0,40152
+2020,1034867.6,4040.8,75064
+",
+CN,macro,中国的劳动生产率在2016年是多少？（单位：元/人；实际GDP以1978年为基期）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,15765.2122,easy,productivity,实际GDP / 从业人数；实际GDP = 1978年GDP × t年GDP指数(1978年=100) / 100,"year,国内生产总值 (亿元),国内生产总值指数 (1978年=100),就业人员 (万人)
+1978,3684.8,100.0,40152
+2016,761193.0,3262.1,76245
+",
+CN,macro,对于劳动生产率，中国在2017年的值是？（单位：元/人；实际GDP以1978年为基期）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,16893.0673,easy,productivity,实际GDP / 从业人数；实际GDP = 1978年GDP × t年GDP指数(1978年=100) / 100,"year,国内生产总值 (亿元),国内生产总值指数 (1978年=100),就业人员 (万人)
+1978,3684.8,100.0,40152
+2017,847382.9,3486.9,76058
+",
+CN,macro,计算2023年度中国的劳动生产率。（单位：元/人；实际GDP以1978年为基期）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,23736.8783,easy,productivity,实际GDP / 从业人数；实际GDP = 1978年GDP × t年GDP指数(1978年=100) / 100,"year,国内生产总值 (亿元),国内生产总值指数 (1978年=100),就业人员 (万人)
+1978,3684.8,100.0,40152
+2023,1294271.7,4769.6,74041
+",
+CN,macro,2019年中国的全要素生产率增长率是？（单位：%；\Delta K 直接取 6%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.4352,easy,productivity,全要素生产率增长率 = \Delta TFP * 100% = (\Delta Y - \alpha \Delta K - \beta \Delta L) * 100%；\alpha = 1 - \beta；\beta = 劳动者报酬 / GDP,"year,国内生产总值 (亿元),GDP增长率 (%),就业人员 (万人),非金融交易资金来源劳动者报酬 (亿元)
+2018,936010.1,6.8,75782,476220.2
+2019,1005872.4,6.1,75447,520757.3
+",
+CN,macro,中国的全要素生产率增长率在2017年是多少？（单位：%；\Delta K 直接取 6%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,4.0778,easy,productivity,全要素生产率增长率 = \Delta TFP * 100% = (\Delta Y - \alpha \Delta K - \beta \Delta L) * 100%；\alpha = 1 - \beta；\beta = 劳动者报酬 / GDP,"year,国内生产总值 (亿元),GDP增长率 (%),就业人员 (万人),非金融交易资金来源劳动者报酬 (亿元)
+2016,761193.0,6.8,76245,386512.7
+2017,847382.9,6.9,76058,431178.4
+",
+CN,macro,对于全要素生产率增长率，中国在2022年的值是？（单位：%；\Delta K 直接取 6%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.1872,easy,productivity,全要素生产率增长率 = \Delta TFP * 100% = (\Delta Y - \alpha \Delta K - \beta \Delta L) * 100%；\alpha = 1 - \beta；\beta = 劳动者报酬 / GDP,"year,国内生产总值 (亿元),GDP增长率 (%),就业人员 (万人),非金融交易资金来源劳动者报酬 (亿元)
+2021,1173823.0,8.6,74652,602544.8
+2022,1234029.4,3.1,73351,651406.4
+",
+CN,macro,计算2021年度中国的全要素生产率增长率。（单位：%；\Delta K 直接取 6%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,5.9617,easy,productivity,全要素生产率增长率 = \Delta TFP * 100% = (\Delta Y - \alpha \Delta K - \beta \Delta L) * 100%；\alpha = 1 - \beta；\beta = 劳动者报酬 / GDP,"year,国内生产总值 (亿元),GDP增长率 (%),就业人员 (万人),非金融交易资金来源劳动者报酬 (亿元)
+2020,1034867.6,2.3,75064,539446.5
+2021,1173823.0,8.6,74652,602544.8
+",
+CN,macro,2016年中国的贸易开放度是？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,31.9743,easy,external trade,进出口总额 / GDP * 100%,"year,进出口总额 (人民币) (亿元),国内生产总值 (亿元)
+2016,243386.5,761193.0
+",
+CN,macro,中国的贸易开放度在2018年是多少？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,32.5862,easy,external trade,进出口总额 / GDP * 100%,"year,进出口总额 (人民币) (亿元),国内生产总值 (亿元)
+2018,305010.1,936010.1
+",
+CN,macro,对于贸易开放度，中国在2021年的值是？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,33.0026,easy,external trade,进出口总额 / GDP * 100%,"year,进出口总额 (人民币) (亿元),国内生产总值 (亿元)
+2021,387391.8,1173823.0
+",
+CN,macro,计算2023年度中国的贸易开放度。（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,32.2583,easy,external trade,进出口总额 / GDP * 100%,"year,进出口总额 (人民币) (亿元),国内生产总值 (亿元)
+2023,417510.1,1294271.7
+",
+CN,macro,2017年中国的中央政府杠杆率是？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,15.9043,easy,fiscal,中央财政债务余额 / GDP * 100%,"year,中央财政债务余额 (亿元),国内生产总值 (亿元)
+2017,134770.15,847382.9
+",
+CN,macro,中国的中央政府杠杆率在2023年是多少？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,23.2042,easy,fiscal,中央财政债务余额 / GDP * 100%,"year,中央财政债务余额 (亿元),国内生产总值 (亿元)
+2023,300325.5,1294271.7
+",
+CN,macro,对于中央政府杠杆率，中国在2020年的值是？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,20.1867,easy,fiscal,中央财政债务余额 / GDP * 100%,"year,中央财政债务余额 (亿元),国内生产总值 (亿元)
+2020,208905.87,1034867.6
+",
+CN,macro,计算2024年度中国的中央政府杠杆率。（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,25.6459,easy,fiscal,中央财政债务余额 / GDP * 100%,"year,中央财政债务余额 (亿元),国内生产总值 (亿元)
+2024,345723.62,1348066.2
+",
+CN,macro,2022年中国的财政赤字率是？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,4.6111,easy,fiscal,财政赤字 / GDP * 100%；财政赤字 = 一般公共预算支出 - 一般公共预算收入,"year,一般公共预算支出 (亿元),一般公共预算收入 (亿元),国内生产总值 (亿元)
+2022,260552.12,203649.29,1234029.4
+",
+CN,macro,中国的财政赤字率在2021年是多少？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.6733,easy,fiscal,财政赤字 / GDP * 100%；财政赤字 = 一般公共预算支出 - 一般公共预算收入,"year,一般公共预算支出 (亿元),一般公共预算收入 (亿元),国内生产总值 (亿元)
+2021,245673.0,202554.64,1173823.0
+",
+CN,macro,对于财政赤字率，中国在2018年的值是？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,4.0111,easy,fiscal,财政赤字 / GDP * 100%；财政赤字 = 一般公共预算支出 - 一般公共预算收入,"year,一般公共预算支出 (亿元),一般公共预算收入 (亿元),国内生产总值 (亿元)
+2018,220904.13,183359.84,936010.1
+",
+CN,macro,计算2023年度中国的财政赤字率。（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,4.468,easy,fiscal,财政赤字 / GDP * 100%；财政赤字 = 一般公共预算支出 - 一般公共预算收入,"year,一般公共预算支出 (亿元),一般公共预算收入 (亿元),国内生产总值 (亿元)
+2023,274622.94,216795.43,1294271.7
+",
+CN,macro,2023年中国的赤字依存度是？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,21.0571,easy,fiscal,(一般公共预算支出 - 一般公共预算收入) / 一般公共预算支出 * 100%,"year,一般公共预算支出 (亿元),一般公共预算收入 (亿元)
+2023,274622.94,216795.43
+",
+CN,macro,中国的赤字依存度在2019年是多少？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,20.2916,easy,fiscal,(一般公共预算支出 - 一般公共预算收入) / 一般公共预算支出 * 100%,"year,一般公共预算支出 (亿元),一般公共预算收入 (亿元)
+2019,238858.37,190390.08
+",
+CN,macro,对于赤字依存度，中国在2016年的值是？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,14.9931,easy,fiscal,(一般公共预算支出 - 一般公共预算收入) / 一般公共预算支出 * 100%,"year,一般公共预算支出 (亿元),一般公共预算收入 (亿元)
+2016,187755.21,159604.97
+",
+CN,macro,计算2022年度中国的赤字依存度。（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,21.8393,easy,fiscal,(一般公共预算支出 - 一般公共预算收入) / 一般公共预算支出 * 100%,"year,一般公共预算支出 (亿元),一般公共预算收入 (亿元)
+2022,260552.12,203649.29
+",
+CN,macro,2022年中国的宏观税负是？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,13.5021,easy,fiscal,税收 / GDP * 100%,"year,税收 (亿元),国内生产总值 (亿元)
+2022,166620.1,1234029.4
+",
+CN,macro,中国的宏观税负在2024年是多少？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,12.9821,easy,fiscal,税收 / GDP * 100%,"year,税收 (亿元),国内生产总值 (亿元)
+2024,175006.88,1348066.2
+",
+CN,macro,对于宏观税负，中国在2023年的值是？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,13.9952,easy,fiscal,税收 / GDP * 100%,"year,税收 (亿元),国内生产总值 (亿元)
+2023,181136.25,1294271.7
+",
+CN,macro,计算2020年度中国的宏观税负。（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,14.9113,easy,fiscal,税收 / GDP * 100%,"year,税收 (亿元),国内生产总值 (亿元)
+2020,154312.29,1034867.6
+",
+CN,macro,2019年中国的企业贷款实际利率是？（单位：%；LPR用每年8月份公布的1年期LPR）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,4.55,easy,inflation,名义利率 - 通胀率 = 1年期LPR - PPI同比增速,"year,1年期LPR (%),工业生产者出厂价格指数 (上年=100)
+2019,4.25,99.7
+",
+CN,macro,中国的企业贷款实际利率在2023年是多少？（单位：%；LPR用每年8月份公布的1年期LPR）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,6.45,easy,inflation,名义利率 - 通胀率 = 1年期LPR - PPI同比增速,"year,1年期LPR (%),工业生产者出厂价格指数 (上年=100)
+2023,3.45,97.0
+",
+CN,macro,对于企业贷款实际利率，中国在2022年的值是？（单位：%；LPR用每年8月份公布的1年期LPR）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-0.45,easy,inflation,名义利率 - 通胀率 = 1年期LPR - PPI同比增速,"year,1年期LPR (%),工业生产者出厂价格指数 (上年=100)
+2022,3.65,104.1
+",
+CN,macro,计算2021年度中国的企业贷款实际利率。（单位：%；LPR用每年8月份公布的1年期LPR）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-4.25,easy,inflation,名义利率 - 通胀率 = 1年期LPR - PPI同比增速,"year,1年期LPR (%),工业生产者出厂价格指数 (上年=100)
+2021,3.85,108.1
+",
+CN,macro,2019年中国的（城镇非私营单位）实际工资增长率是？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,6.914,easy,labor,名义工资增长率 - 通胀率 = 城镇非私营单位就业人员平均工资同比增速 - CPI同比增速,"year,城镇非私营单位就业人员平均工资 (元),居民消费价格指数 (上年=100)
+2018,82413.0,102.1
+2019,90501.0,102.9
+",
+CN,macro,中国的（城镇非私营单位）实际工资增长率在2021年是多少？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,8.8126,easy,labor,名义工资增长率 - 通胀率 = 城镇非私营单位就业人员平均工资同比增速 - CPI同比增速,"year,城镇非私营单位就业人员平均工资 (元),居民消费价格指数 (上年=100)
+2020,97379.0,102.5
+2021,106837.0,100.9
+",
+CN,macro,对于（城镇非私营单位）实际工资增长率，中国在2024年的值是？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.6269,easy,labor,名义工资增长率 - 通胀率 = 城镇非私营单位就业人员平均工资同比增速 - CPI同比增速,"year,城镇非私营单位就业人员平均工资 (元),居民消费价格指数 (上年=100)
+2023,120698.0,100.2
+2024,124110.0,100.2
+",
+CN,macro,计算2018年度中国的（城镇非私营单位）实际工资增长率。（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,8.7924,easy,labor,名义工资增长率 - 通胀率 = 城镇非私营单位就业人员平均工资同比增速 - CPI同比增速,"year,城镇非私营单位就业人员平均工资 (元),居民消费价格指数 (上年=100)
+2017,74318.0,101.6
+2018,82413.0,102.1
+",
+CN,macro,2024年中国的（城镇私营单位）实际工资增长率是？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.4623,easy,labor,名义工资增长率 - 通胀率 = 城镇私营单位就业人员平均工资同比增速 - CPI同比增速,"year,城镇私营单位就业人员平均工资 (元),居民消费价格指数 (上年=100)
+2023,68340.0,100.2
+2024,69476.0,100.2
+",
+CN,macro,中国的（城镇私营单位）实际工资增长率在2021年是多少？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,8.0334,easy,labor,名义工资增长率 - 通胀率 = 城镇私营单位就业人员平均工资同比增速 - CPI同比增速,"year,城镇私营单位就业人员平均工资 (元),居民消费价格指数 (上年=100)
+2020,57727.0,102.5
+2021,62884.0,100.9
+",
+CN,macro,对于（城镇私营单位）实际工资增长率，中国在2017年的值是？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,5.2359,easy,labor,名义工资增长率 - 通胀率 = 城镇私营单位就业人员平均工资同比增速 - CPI同比增速,"year,城镇私营单位就业人员平均工资 (元),居民消费价格指数 (上年=100)
+2016,42833.0,102.0
+2017,45761.0,101.6
+",
+CN,macro,计算2020年度中国的（城镇私营单位）实际工资增长率。（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,5.1916,easy,labor,名义工资增长率 - 通胀率 = 城镇私营单位就业人员平均工资同比增速 - CPI同比增速,"year,城镇私营单位就业人员平均工资 (元),居民消费价格指数 (上年=100)
+2019,53604.0,102.9
+2020,57727.0,102.5
+",
+CN,macro,2018年中国的就业弹性是？写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-0.0534,easy,labor,就业弹性 = 就业增长率 / GDP增长率,"year,就业人员 (万人),GDP增长率 (%)
+2017,76058,6.9
+2018,75782,6.8
+",
+CN,macro,中国的就业弹性在2019年是多少？写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-0.0725,easy,labor,就业弹性 = 就业增长率 / GDP增长率,"year,就业人员 (万人),GDP增长率 (%)
+2018,75782,6.8
+2019,75447,6.1
+",
+CN,macro,对于就业弹性，中国在2020年的值是？写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-0.2207,easy,labor,就业弹性 = 就业增长率 / GDP增长率,"year,就业人员 (万人),GDP增长率 (%)
+2019,75447,6.1
+2020,75064,2.3
+",
+CN,macro,计算2022年度中国的就业弹性。写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-0.5622,easy,labor,就业弹性 = 就业增长率 / GDP增长率,"year,就业人员 (万人),GDP增长率 (%)
+2021,74652,8.6
+2022,73351,3.1
+",
+CN,macro,中国在2018至2020年间的GDP平减指数，最大值比平均值高出多少？（实际GDP以1978年为基期）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,5.4351,hard,inflation,GDP平减指数 = 名义GDP / 实际GDP * 100；实际GDP = 1978年GDP × t年GDP指数(1978年=100) / 100,"year,国内生产总值 (亿元),国内生产总值指数 (1978年=100)
+1978,3684.8,100.0
+2018,936010.1,3722.5
+2019,1005872.4,3948.4
+2020,1034867.6,4040.8
+","year,GDP平减指数
+2018,682.3888279573436
+2019,691.3656973921468
+2020,695.0299412342349
+"
+CN,macro,2023至2025年，中国的GDP平减指数的最大值与平均值之差是多少？（实际GDP以1978年为基期）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,5.9988,hard,inflation,GDP平减指数 = 名义GDP / 实际GDP * 100；实际GDP = 1978年GDP × t年GDP指数(1978年=100) / 100,"year,国内生产总值 (亿元),国内生产总值指数 (1978年=100)
+1978,3684.8,100.0
+2023,1294271.7,4769.6
+2024,1348066.2,5006.1
+2025,1401879.2,5254.4
+","year,GDP平减指数
+2023,736.4267846200054
+2024,730.7987208276332
+2025,724.0583067523534
+"
+CN,macro,中国在2016到2020年间，GDP平减指数的最大值与平均值相差多少？（实际GDP以1978年为基期）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,22.7171,hard,inflation,GDP平减指数 = 名义GDP / 实际GDP * 100；实际GDP = 1978年GDP × t年GDP指数(1978年=100) / 100,"year,国内生产总值 (亿元),国内生产总值指数 (1978年=100)
+1978,3684.8,100.0
+2016,761193.0,3262.1
+2017,847382.9,3486.9
+2018,936010.1,3722.5
+2019,1005872.4,3948.4
+2020,1034867.6,4040.8
+","year,GDP平减指数
+2016,633.2622431415804
+2017,659.517437432558
+2018,682.3888279573436
+2019,691.3656973921468
+2020,695.0299412342349
+"
+CN,macro,在2020-2024年间，对于中国的GDP平减指数，最大值领先平均值多少？（实际GDP以1978年为基期）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,14.4599,hard,inflation,GDP平减指数 = 名义GDP / 实际GDP * 100；实际GDP = 1978年GDP × t年GDP指数(1978年=100) / 100,"year,国内生产总值 (亿元),国内生产总值指数 (1978年=100)
+1978,3684.8,100.0
+2020,1034867.6,4040.8
+2021,1173823.0,4387.1
+2022,1234029.4,4524.6
+2023,1294271.7,4769.6
+2024,1348066.2,5006.1
+","year,GDP平减指数
+2020,695.0299412342349
+2021,726.124616943056
+2022,740.1698571857929
+2023,736.4267846200054
+2024,730.7987208276332
+"
+CN,macro,对于中国在2017-2019年的GDP平减指数，计算最大值与平均值的差。（实际GDP以1978年为基期）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,13.6084,hard,inflation,GDP平减指数 = 名义GDP / 实际GDP * 100；实际GDP = 1978年GDP × t年GDP指数(1978年=100) / 100,"year,国内生产总值 (亿元),国内生产总值指数 (1978年=100)
+1978,3684.8,100.0
+2017,847382.9,3486.9
+2018,936010.1,3722.5
+2019,1005872.4,3948.4
+","year,GDP平减指数
+2017,659.517437432558
+2018,682.3888279573436
+2019,691.3656973921468
+"
+CN,macro,中国在2021至2023年间的增量资本产出率，最大值比平均值高出多少？（名义口径）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.8127,hard,productivity,增量资本产出率 = \Delta K / \Delta Y = 固定资本形成总额 / GDP增量,"year,固定资本形成总额 (亿元),国内生产总值 (亿元)
+2020,433086.0,1034867.6
+2021,485400.7,1173823.0
+2022,508826.5,1234029.4
+2023,523590.3,1294271.7
+","year,增量资本产出率
+2021,3.4932122105366177
+2022,8.451368957453042
+2023,8.691406204610375
+"
+CN,macro,2020至2022年，中国的增量资本产出率的最大值与平均值之差是多少？（名义口径）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,5.9761,hard,productivity,增量资本产出率 = \Delta K / \Delta Y = 固定资本形成总额 / GDP增量,"year,固定资本形成总额 (亿元),国内生产总值 (亿元)
+2019,424984.6,1005872.4
+2020,433086.0,1034867.6
+2021,485400.7,1173823.0
+2022,508826.5,1234029.4
+","year,增量资本产出率
+2020,14.936472243681736
+2021,3.4932122105366177
+2022,8.451368957453042
+"
+CN,macro,中国在2018到2022年间，增量资本产出率的最大值与平均值相差多少？（名义口径）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,7.4485,hard,productivity,增量资本产出率 = \Delta K / \Delta Y = 固定资本形成总额 / GDP增量,"year,固定资本形成总额 (亿元),国内生产总值 (亿元)
+2017,350973.2,847382.9
+2018,396684.6,936010.1
+2019,424984.6,1005872.4
+2020,433086.0,1034867.6
+2021,485400.7,1173823.0
+2022,508826.5,1234029.4
+","year,增量资本产出率
+2018,4.475878737001735
+2019,6.0831750457686
+2020,14.936472243681736
+2021,3.4932122105366177
+2022,8.451368957453042
+"
+CN,macro,在2019-2023年间，对于中国的增量资本产出率，最大值领先平均值多少？（名义口径）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,6.6053,hard,productivity,增量资本产出率 = \Delta K / \Delta Y = 固定资本形成总额 / GDP增量,"year,固定资本形成总额 (亿元),国内生产总值 (亿元)
+2018,396684.6,936010.1
+2019,424984.6,1005872.4
+2020,433086.0,1034867.6
+2021,485400.7,1173823.0
+2022,508826.5,1234029.4
+2023,523590.3,1294271.7
+","year,增量资本产出率
+2019,6.0831750457686
+2020,14.936472243681736
+2021,3.4932122105366177
+2022,8.451368957453042
+2023,8.691406204610375
+"
+CN,macro,对于中国在2017-2021年的增量资本产出率，计算最大值与平均值的差。（名义口径）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关��计算过程。,8.3243,hard,productivity,增量资本产出率 = \Delta K / \Delta Y = 固定资本形成总额 / GDP增量,"year,固定资本形成总额 (亿元),国内生产总值 (亿元)
+2016,312702.5,761193.0
+2017,350973.2,847382.9
+2018,396684.6,936010.1
+2019,424984.6,1005872.4
+2020,433086.0,1034867.6
+2021,485400.7,1173823.0
+","year,增量资本产出率
+2017,4.072091973653524
+2018,4.475878737001735
+2019,6.0831750457686
+2020,14.936472243681736
+2021,3.4932122105366177
+"
+CN,macro,中国在2020至2022年间的劳动生产率，最大值比平均值高出多少？（单位：元/人；实际GDP以1978年为基期）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1322.8084,hard,productivity,实际GDP / 从业人数；实际GDP = 1978年GDP × t年GDP指数(1978年=100) / 100,"year,国内生产总值 (亿元),国内生产总值指数 (1978年=100),就业人员 (万人)
+1978,3684.8,100.0,40152
+2020,1034867.6,4040.8,75064
+2021,1173823.0,4387.1,74652
+2022,1234029.4,4524.6,73351
+","year,劳动生产率
+2020,19835.793243099222
+2021,21654.59208058726
+2022,22729.40529781462
+"
+CN,macro,2019至2021年，中国的劳动生产率的最大值与平均值之差是多少？（单位：元/人；实际GDP以1978年为基期）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1396.5234,hard,productivity,实际GDP / 从业人数；实际GDP = 1978年GDP × t年GDP指数(1978年=100) / 100,"year,国内生产总值 (亿元),国内生产总值指数 (1978年=100),就业人员 (万人)
+1978,3684.8,100.0,40152
+2019,1005872.4,3948.4,75447
+2020,1034867.6,4040.8,75064
+2021,1173823.0,4387.1,74652
+","year,劳动生产率
+2019,19283.820854374593
+2020,19835.793243099222
+2021,21654.59208058726
+"
+CN,macro,中国在2020到2024年间，劳动生产率的最大值与平均值相差多少？（单位：元/人；实际GDP以1978年为基期）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2503.1417,hard,productivity,实际GDP / 从业人数；实际GDP = 1978年GDP × t年GDP指数(1978年=100) / 100,"year,国内生产总值 (亿元),国内生产总值指数 (1978年=100),就业人员 (万人)
+1978,3684.8,100.0,40152
+2020,1034867.6,4040.8,75064
+2021,1173823.0,4387.1,74652
+2022,1234029.4,4524.6,73351
+2023,1294271.7,4769.6,74041
+2024,1348066.2,5006.1,73439
+","year,劳动生产率
+2020,19835.793243099222
+2021,21654.59208058726
+2022,22729.40529781462
+2023,23736.878324171746
+2024,25118.09430956304
+"
+CN,macro,在2017-2019年间，对于中国的劳动生产率，最大值领先平均值多少？（单位：元/人；实际GDP以1978年为基期）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1191.4694,hard,productivity,实际GDP / 从业人数；实际GDP = 1978年GDP × t年GDP指数(1978年=100) / 100,"year,国内生产总值 (亿元),国内生产总值指数 (1978年=100),就业人员 (万人)
+1978,3684.8,100.0,40152
+2017,847382.9,3486.9,76058
+2018,936010.1,3722.5,75782
+2019,1005872.4,3948.4,75447
+","year,劳动生产率
+2017,16893.067290751795
+2018,18100.166266395714
+2019,19283.820854374593
+"
+CN,macro,对于中国在2017-2021年的劳动生产率，计算最大值与平均值的差。（单位：元/人；实际GDP以1978年为基期）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2501.1041,hard,productivity,实际GDP / 从业人数；实际GDP = 1978年GDP × t年GDP指数(1978年=100) / 100,"year,国内生产总值 (亿元),国内生产总值指数 (1978年=100),就业人员 (万人)
+1978,3684.8,100.0,40152
+2017,847382.9,3486.9,76058
+2018,936010.1,3722.5,75782
+2019,1005872.4,3948.4,75447
+2020,1034867.6,4040.8,75064
+2021,1173823.0,4387.1,74652
+","year,劳动生产率
+2017,16893.067290751795
+2018,18100.166266395714
+2019,19283.820854374593
+2020,19835.793243099222
+2021,21654.59208058726
+"
+CN,macro,中国在2021至2023年间的全要素生产率增长率，最大值比平均值高出多少？（单位：%；\Delta K 直接取 6%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.8812,hard,productivity,全要素生产率增长率 = \Delta TFP * 100% = (\Delta Y - \alpha \Delta K - \beta \Delta L) * 100%；\alpha = 1 - \beta；\beta = 劳动者报酬 / GDP,"year,国内生产总值 (亿元),GDP增长率 (%),就业人员 (万人),非金融交易资金来源劳动者报酬 (亿元)
+2020,1034867.6,2.3,75064,539446.5
+2021,1173823.0,8.6,74652,602544.8
+2022,1234029.4,3.1,73351,651406.4
+2023,1294271.7,5.4,74041,688820.6
+","year,全要素生产率增长率
+2021,5.961652082731456
+2022,1.1871626594802862
+2023,2.0926047562207852
+"
+CN,macro,2018至2022年，中国的全要素生产率增长率的最大值与平均值之差是多少？（单位：%；\Delta K 直接取 6%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.099,hard,productivity,全要素生产率增长率 = \Delta TFP * 100% = (\Delta Y - \alpha \Delta K - \beta \Delta L) * 100%；\alpha = 1 - \beta；\beta = 劳动者报酬 / GDP,"year,国内生产总值 (亿元),GDP增长率 (%),就业人员 (万人),非金融交易资金来源劳动者报酬 (亿元)
+2017,847382.9,6.9,76058,431178.4
+2018,936010.1,6.8,75782,476220.2
+2019,1005872.4,6.1,75447,520757.3
+2020,1034867.6,2.3,75064,539446.5
+2021,1173823.0,8.6,74652,602544.8
+2022,1234029.4,3.1,73351,651406.4
+","year,全要素生产率增长率
+2018,4.037286053856434
+2019,3.435163048591045
+2020,-0.30775520613602786
+2021,5.961652082731456
+2022,1.1871626594802862
+"
+CN,macro,中国在2019到2023年间，全要素生产率增长率的最大值与平均值相差多少？（单位：%；\Delta K 直接取 6%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.4879,hard,productivity,全要素生产率增长率 = \Delta TFP * 100% = (\Delta Y - \alpha \Delta K - \beta \Delta L) * 100%；\alpha = 1 - \beta；\beta = 劳动者报酬 / GDP,"year,国内生产总值 (亿元),GDP增长率 (%),就业人员 (万人),非金融交易资金来源劳动者报酬 (亿元)
+2018,936010.1,6.8,75782,476220.2
+2019,1005872.4,6.1,75447,520757.3
+2020,1034867.6,2.3,75064,539446.5
+2021,1173823.0,8.6,74652,602544.8
+2022,1234029.4,3.1,73351,651406.4
+2023,1294271.7,5.4,74041,688820.6
+","year,全要素生产率增长率
+2019,3.435163048591045
+2020,-0.30775520613602786
+2021,5.961652082731456
+2022,1.1871626594802862
+2023,2.0926047562207852
+"
+CN,macro,在2020-2022年间，对于中国的全要素生产率增长率，最大值领先平均值多少？（单位：%；\Delta K 直接取 6%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.6813,hard,productivity,全要素生产率增长率 = \Delta TFP * 100% = (\Delta Y - \alpha \Delta K - \beta \Delta L) * 100%；\alpha = 1 - \beta；\beta = 劳动者报酬 / GDP,"year,国内生产总值 (亿元),GDP增长率 (%),就业人员 (万人),非金融交易资金来源劳动者报酬 (亿元)
+2019,1005872.4,6.1,75447,520757.3
+2020,1034867.6,2.3,75064,539446.5
+2021,1173823.0,8.6,74652,602544.8
+2022,1234029.4,3.1,73351,651406.4
+","year,全要素生产率增长率
+2020,-0.30775520613602786
+2021,5.961652082731456
+2022,1.1871626594802862
+"
+CN,macro,对于中国在2017-2021年的全要素生产率增长率，计算最大值与平均值的差。（单位：%；\Delta K 直接取 6%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.5208,hard,productivity,全要素生产率增长率 = \Delta TFP * 100% = (\Delta Y - \alpha \Delta K - \beta \Delta L) * 100%；\alpha = 1 - \beta；\beta = 劳动者报酬 / GDP,"year,国内生产总值 (亿元),GDP增长率 (%),就业人员 (万人),非金融交易资金来源劳动者报酬 (亿元)
+2016,761193.0,6.8,76245,386512.7
+2017,847382.9,6.9,76058,431178.4
+2018,936010.1,6.8,75782,476220.2
+2019,1005872.4,6.1,75447,520757.3
+2020,1034867.6,2.3,75064,539446.5
+2021,1173823.0,8.6,74652,602544.8
+","year,全要素生产率增长率
+2017,4.077810255565872
+2018,4.037286053856434
+2019,3.435163048591045
+2020,-0.30775520613602786
+2021,5.961652082731456
+"
+CN,macro,中国在2020至2024年间的贸易开放度，最大值比平均值高出多少？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.2347,hard,external trade,进出口总额 / GDP * 100%,"year,进出口总额 (人民币) (亿元),国内生产总值 (亿元)
+2020,322215.2,1034867.6
+2021,387391.8,1173823.0
+2022,416727.8,1234029.4
+2023,417510.1,1294271.7
+2024,438233.92,1348066.2
+","year,贸易开放度
+2020,31.135886368459115
+2021,33.00257364185231
+2022,33.76968166236558
+2023,32.25830403307126
+2024,32.50833824036238
+"
+CN,macro,2023至2025年，中国的贸易开放度的最大值与平均值之差是多少？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.1081,hard,external trade,进出口总额 / GDP * 100%,"year,进出口总额 (人民币) (亿元),国内生产总值 (亿元)
+2023,417510.1,1294271.7
+2024,438233.92,1348066.2
+2025,454685.0,1401879.2
+","year,贸易开放度
+2023,32.25830403307126
+2024,32.50833824036238
+2025,32.43396435299133
+"
+CN,macro,中国在2019到2023年间，贸易开放度的最大值与平均值相差多少？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.4607,hard,external trade,进出口总��� / GDP * 100%,"year,进出口总额 (人民币) (亿元),国内生产总值 (亿元)
+2019,315627.3,1005872.4
+2020,322215.2,1034867.6
+2021,387391.8,1173823.0
+2022,416727.8,1234029.4
+2023,417510.1,1294271.7
+","year,贸易开放度
+2019,31.37846311321396
+2020,31.135886368459115
+2021,33.00257364185231
+2022,33.76968166236558
+2023,32.25830403307126
+"
+CN,macro,在2021-2023年间，对于中国的贸易开放度，最大值领先平均值多少？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.7595,hard,external trade,进出口总额 / GDP * 100%,"year,进出口总额 (人民币) (亿元),国内生产总值 (亿元)
+2021,387391.8,1173823.0
+2022,416727.8,1234029.4
+2023,417510.1,1294271.7
+","year,贸易开放度
+2021,33.00257364185231
+2022,33.76968166236558
+2023,32.25830403307126
+"
+CN,macro,对于中国在2019-2021年的贸易开放度，计算最大值与平均值的差。（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.1636,hard,external trade,进出口总额 / GDP * 100%,"year,进出口总额 (人民币) (亿元),国内生产总值 (亿元)
+2019,315627.3,1005872.4
+2020,322215.2,1034867.6
+2021,387391.8,1173823.0
+","year,贸易开放度
+2019,31.37846311321396
+2020,31.135886368459115
+2021,33.00257364185231
+"
+CN,macro,中国在2020至2024年间的中央政府杠杆率，最大值比平均值高出多少？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.6811,hard,fiscal,中央财政债务余额 / GDP * 100%,"year,中央财政债务余额 (亿元),国内生产总值 (亿元)
+2020,208905.87,1034867.6
+2021,232697.29,1173823.0
+2022,258692.76,1234029.4
+2023,300325.5,1294271.7
+2024,345723.62,1348066.2
+","year,中央政府杠杆率
+2020,20.18672436937827
+2021,19.823882305935392
+2022,20.963257439409468
+2023,23.204208204506056
+2024,25.6458933544955
+"
+CN,macro,2020至2022年，中国的中央政府杠杆率的最大值与平均值之差是多少？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.6386,hard,fiscal,中央财政债务余额 / GDP * 100%,"year,中央财政债务余额 (亿元),国内生产总值 (亿元)
+2020,208905.87,1034867.6
+2021,232697.29,1173823.0
+2022,258692.76,1234029.4
+","year,中央政府杠杆率
+2020,20.18672436937827
+2021,19.823882305935392
+2022,20.963257439409468
+"
+CN,macro,中国在2016到2020年间，中央政府杠杆率的最大值与平均值相差多少？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.276,hard,fiscal,中央财政债务余额 / GDP * 100%,"year,中央财政债务余额 (亿元),国内生产总值 (亿元)
+2016,120066.75,761193.0
+2017,134770.15,847382.9
+2018,149607.41,936010.1
+2019,168038.04,1005872.4
+2020,208905.87,1034867.6
+","year,中央政府杠杆率
+2016,15.773496340612697
+2017,15.904280107611326
+2018,15.983525177773188
+2019,16.705701438870378
+2020,20.18672436937827
+"
+CN,macro,在2018-2020年间，对于中国的中央政府杠杆率，最大值领先平均值多少？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.5614,hard,fiscal,中央财政债务余额 / GDP * 100%,"year,中央财政债务余额 (亿元),国内生产总值 (亿元)
+2018,149607.41,936010.1
+2019,168038.04,1005872.4
+2020,208905.87,1034867.6
+","year,中央政府杠杆率
+2018,15.983525177773188
+2019,16.705701438870378
+2020,20.18672436937827
+"
+CN,macro,对于中国在2018-2022年的中央政府杠杆率，计算最大值与平均值的差。（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.2306,hard,fiscal,中央财政债务余额 / GDP * 100%,"year,中央财政债务余额 (亿元),国内生产总值 (亿元)
+2018,149607.41,936010.1
+2019,168038.04,1005872.4
+2020,208905.87,1034867.6
+2021,232697.29,1173823.0
+2022,258692.76,1234029.4
+","year,中央政府杠杆率
+2018,15.983525177773188
+2019,16.705701438870378
+2020,20.18672436937827
+2021,19.823882305935392
+2022,20.963257439409468
+"
+CN,macro,中国在2019至2021年间的财政赤字率，最大值比平均值高出多少？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.2127,hard,fiscal,财政赤字 / GDP * 100%；财政赤字 = 一般公共预算支出 - 一般公共预算收入,"year,一般公共预算支出 (亿元),一般公共预算收入 (亿元),国内生产总值 (亿元)
+2019,238858.37,190390.08,1005872.4
+2020,245679.03,182913.88,1034867.6
+2021,245673.0,202554.64,1173823.0
+","year,财政赤字率
+2019,4.81853264887276
+2020,6.065041557006905
+2021,3.6733272392856495
+"
+CN,macro,2021至2023年，中国的财政赤字率的最大值与平均值之差是多少？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.3603,hard,fiscal,财政赤字 / GDP * 100%；财政赤字 = 一般公共预算支出 - 一般公共预算收入,"year,一般公共预算支出 (亿元),一般公共预算收入 (亿元),国内生产总值 (亿元)
+2021,245673.0,202554.64,1173823.0
+2022,260552.12,203649.29,1234029.4
+2023,274622.94,216795.43,1294271.7
+","year,财政赤字率
+2021,3.6733272392856495
+2022,4.6111405449497385
+2023,4.467957539363645
+"
+CN,macro,中国在2021到2025年间，财政赤字率的最大值与平均值相差多少？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.5588,hard,fiscal,财政赤字 / GDP * 100%；财政赤字 = 一般公共预算支出 - 一般公共预算收入,"year,一般公共预算支出 (亿元),一般公共预算收入 (亿元),国内生产总值 (亿元)
+2021,245673.0,202554.64,1173823.0
+2022,260552.12,203649.29,1234029.4
+2023,274622.94,216795.43,1294271.7
+2024,284605.57,219734.3,1348066.2
+2025,287395.0,216045.0,1401879.2
+","year,财政赤字率
+2021,3.6733272392856495
+2022,4.6111405449497385
+2023,4.467957539363645
+2024,4.8121724289207775
+2025,5.089596878247427
+"
+CN,macro,在2020-2024年间，对于中国的财政赤字率，最大值领先平均值多少？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.3391,hard,fiscal,财政赤字 / GDP * 100%；财政赤字 = 一般公共预算支出 - 一般公共预算收入,"year,一般公共预算支出 (亿元),一般公共预算收入 (亿元),国内生产总值 (亿元)
+2020,245679.03,182913.88,1034867.6
+2021,245673.0,202554.64,1173823.0
+2022,260552.12,203649.29,1234029.4
+2023,274622.94,216795.43,1294271.7
+2024,284605.57,219734.3,1348066.2
+","year,财政赤字率
+2020,6.065041557006905
+2021,3.6733272392856495
+2022,4.6111405449497385
+2023,4.467957539363645
+2024,4.8121724289207775
+"
+CN,macro,对于中国在2017-2019年的财政赤字率，计算最大值与平均值的差。（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.6758,hard,fiscal,财政赤字 / GDP * 100%；财政赤字 = 一般公共预算支出 - 一般公共预算收入,"year,一般公共预算支出 (亿元),一般公共预算收入 (亿元),国内生产总值 (亿元)
+2017,203085.49,172592.77,847382.9
+2018,220904.13,183359.84,936010.1
+2019,238858.37,190390.08,1005872.4
+","year,财政赤字率
+2017,3.5984582648528782
+2018,4.011098811861112
+2019,4.81853264887276
+"
+CN,macro,中国在2021至2025年间的赤字依存度，最大值比平均值高出多少？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.213,hard,fiscal,(一般公共预算支出 - 一般公共预算收入) / 一般公共预算支出 * 100%,"year,一般公共预算支出 (亿元),一般公共预算收入 (亿元)
+2021,245673.0,202554.64
+2022,260552.12,203649.29
+2023,274622.94,216795.43
+2024,284605.57,219734.3
+2025,287395.0,216045.0
+","year,赤字依存度
+2021,17.551118763559685
+2022,21.83932719488139
+2023,21.057057360175378
+2024,22.793394380861912
+2025,24.82645835870492
+"
+CN,macro,2022至2024年，中国的赤字依存度的最大值与平均值之差是多少？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.8968,hard,fiscal,(一般公共预算支出 - 一般公共预算收入) / 一般公共预算支出 * 100%,"year,一般公共预算支出 (亿元),一般公共预算收入 (亿元)
+2022,260552.12,203649.29
+2023,274622.94,216795.43
+2024,284605.57,219734.3
+","year,赤字依存度
+2022,21.83932719488139
+2023,21.057057360175378
+2024,22.793394380861912
+"
+CN,macro,中国在2017到2019年间，赤字依存度的最大值与平均值相差多少？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.8576,hard,fiscal,(一般公共预算支出 - 一般公共预算收入) / 一般公共预算支出 * 100%,"year,一般公共预算支出 (亿元),一般公共预算收入 (亿元)
+2017,203085.49,172592.77
+2018,220904.13,183359.84
+2019,238858.37,190390.08
+","year,赤字依存度
+2017,15.01472114034341
+2018,16.995739282918798
+2019,20.29164395620719
+"
+CN,macro,在2020-2024年间，对于中国的赤字依存度，最大值领先平均值多少？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.7899,hard,fiscal,(一般公共预算支出 - 一般公共预算收入) / 一般公共预算支出 * 100%,"year,一般公共预算支出 (亿元),一般公共预算收入 (亿元)
+2020,245679.03,182913.88
+2021,245673.0,202554.64
+2022,260552.12,203649.29
+2023,274622.94,216795.43
+2024,284605.57,219734.3
+","year,赤字依存度
+2020,25.547622033512585
+2021,17.551118763559685
+2022,21.83932719488139
+2023,21.057057360175378
+2024,22.793394380861912
+"
+CN,macro,对于中国在2019-2023年的赤字依存度，计算最大值与平均值的差。（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,4.2903,hard,fiscal,(一般公共预算支出 - 一般公共预算收入) / 一般公共预算支出 * 100%,"year,一般公共预算支出 (亿元),一般公共预算收入 (亿元)
+2019,238858.37,190390.08
+2020,245679.03,182913.88
+2021,245673.0,202554.64
+2022,260552.12,203649.29
+2023,274622.94,216795.43
+","year,赤字依存度
+2019,20.29164395620719
+2020,25.547622033512585
+2021,17.551118763559685
+2022,21.83932719488139
+2023,21.057057360175378
+"
+CN,macro,中国在2020至2022年间的宏观税负，最大值比平均值高出多少？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.5349,hard,fiscal,税收 / GDP * 100%,"year,税收 (亿元),国内生产总值 (亿元)
+2020,154312.29,1034867.6
+2021,172735.67,1173823.0
+2022,166620.1,1234029.4
+","year,宏观税负
+2020,14.911307494794505
+2021,14.715648781801004
+2022,13.502117534638966
+"
+CN,macro,2023至2025年，中国的宏观税负的最大值与平均值之差是多少？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.8093,hard,fiscal,税收 / GDP * 100%,"year,税收 (亿元),国内生产总值 (亿元)
+2023,181136.25,1294271.7
+2024,175006.88,1348066.2
+2025,176363.0,1401879.2
+","year,宏观税负
+2023,13.99522604102369
+2024,12.98206868475747
+2025,12.580470556949559
+"
+CN,macro,中国在2022到2024年间，宏观税负的最大值与平均值相差多少？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.5021,hard,fiscal,税收 / GDP * 100%,"year,税收 (亿元),国内生产总值 (亿元)
+2022,166620.1,1234029.4
+2023,181136.25,1294271.7
+2024,175006.88,1348066.2
+","year,宏观税负
+2022,13.502117534638966
+2023,13.99522604102369
+2024,12.98206868475747
+"
+CN,macro,在2017-2021年间，对于中国的宏观税负，最大值领先平均值多少？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.2209,hard,fiscal,税收 / GDP * 100%,"year,税收 (亿元),国内生产总值 (亿元)
+2017,144369.87,847382.9
+2018,156402.86,936010.1
+2019,158000.46,1005872.4
+2020,154312.29,1034867.6
+2021,172735.67,1173823.0
+","year,宏观税负
+2017,17.037146961544774
+2018,16.709526959164222
+2019,15.707803494757385
+2020,14.911307494794505
+2021,14.715648781801004
+"
+CN,macro,对于中国在2018-2020年的宏观税负，计算最大值与平均值的差。（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.9333,hard,fiscal,税收 / GDP * 100%,"year,税收 (亿元),国内生产总值 (亿元)
+2018,156402.86,936010.1
+2019,158000.46,1005872.4
+2020,154312.29,1034867.6
+","year,宏观税负
+2018,16.709526959164222
+2019,15.707803494757385
+2020,14.911307494794505
+"
+CN,macro,中国在2020至2022年间的企业贷款实际利率，最大值比平均值高出多少？（单位：%；LPR用每年8月份公布的1年期LPR）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,5.3333,hard,inflation,名义利率 - 通胀率 = 1年期LPR - PPI同比增速,"year,1年期LPR (%),工业生产者出厂价格指数 (上年=100)
+2020,3.85,98.2
+2021,3.85,108.1
+2022,3.65,104.1
+","year,企业贷款实际利率
+2020,5.649999999999997
+2021,-4.249999999999995
+2022,-0.4499999999999944
+"
+CN,macro,2019至2021年，中国的企业贷款实际利率的最大值与平均值之差是多少？（单位：%；LPR用每年8月份公布的1年期LPR）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.6667,hard,inflation,名义利率 - 通胀率 = 1年期LPR - PPI同比增速,"year,1年期LPR (%),工业生产者出厂价格指数 (上年=100)
+2019,4.25,99.7
+2020,3.85,98.2
+2021,3.85,108.1
+","year,企业贷款实际利率
+2019,4.549999999999997
+2020,5.649999999999997
+2021,-4.249999999999995
+"
+CN,macro,中国在2022到2024年间，企业贷款实际利率的最大值与平均值相差多���？（单位：%；LPR用每年8月份公布的1年期LPR）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.6,hard,inflation,名义利率 - 通胀率 = 1年期LPR - PPI同比增速,"year,1年期LPR (%),工业生产者出厂价格指数 (上年=100)
+2022,3.65,104.1
+2023,3.45,97.0
+2024,3.35,97.8
+","year,企业贷款实际利率
+2022,-0.4499999999999944
+2023,6.45
+2024,5.5500000000000025
+"
+CN,macro,在2021-2025年间，对于中国的企业贷款实际利率，最大值领先平均值多少？（单位：%；LPR用每年8月份公布的1年期LPR）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.87,hard,inflation,名义利率 - 通胀率 = 1年期LPR - PPI同比增速,"year,1年期LPR (%),工业生产者出厂价格指数 (上年=100)
+2021,3.85,108.1
+2022,3.65,104.1
+2023,3.45,97.0
+2024,3.35,97.8
+2025,3.0,97.4
+","year,企业贷款实际利率
+2021,-4.249999999999995
+2022,-0.4499999999999944
+2023,6.45
+2024,5.5500000000000025
+2025,5.599999999999994
+"
+CN,macro,对于中国在2023-2025年的企业贷款实际利率，计算最大值与平均值的差。（单位：%；LPR用每年8月份公布的1年期LPR）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.5833,hard,inflation,名义利率 - 通胀率 = 1年期LPR - PPI同比增速,"year,1年期LPR (%),工业生产者出厂价格指数 (上年=100)
+2023,3.45,97.0
+2024,3.35,97.8
+2025,3.0,97.4
+","year,企业贷款实际利率
+2023,6.45
+2024,5.5500000000000025
+2025,5.599999999999994
+"
+CN,macro,中国在2021至2023年间的（城镇非私营单位）实际工资增长率，最大值比平均值高出多少？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.415,hard,labor,名义工资增长率 - 通胀率 = 城镇非私营单位就业人员平均工资同比增速 - CPI同比增速,"year,城镇非私营单位就业人员平均工资 (元),居民消费价格指数 (上年=100)
+2020,97379.0,102.5
+2021,106837.0,100.9
+2022,114029.0,102.0
+2023,120698.0,100.2
+","year,（城镇非私营单位）实际工资增长率
+2021,8.812566364411218
+2022,4.731750236341338
+2023,5.648512220575472
+"
+CN,macro,2018至2020年，中国的（城镇非私营单位）实际工资增长率的最大值与平均值之差是多少？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.857,hard,labor,名义工资增长率 - 通胀率 = 城镇非私营单位就业人员平均工资同比增速 - CPI同比增速,"year,城镇非私营单位就业人员平均工资 (元),居民消费价格指数 (上年=100)
+2017,74318.0,101.6
+2018,82413.0,102.1
+2019,90501.0,102.9
+2020,97379.0,102.5
+","year,（城镇非私营单位）实际工资增长率
+2018,8.792381388089018
+2019,6.913985657602559
+2020,5.099916023027364
+"
+CN,macro,中国在2022到2024年间，（城镇非私营单位）实际工资增长率的最大值与平均值相差多少？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.3128,hard,labor,名义工资增长率 - 通胀率 = 城镇非私营单位就业人员平均工资同比增速 - CPI同比增速,"year,城镇非私营单位就业人员平均工资 (元),居民消费价格指数 (上年=100)
+2021,106837.0,100.9
+2022,114029.0,102.0
+2023,120698.0,100.2
+2024,124110.0,100.2
+","year,（城镇非私营单位）实际工资增长率
+2022,4.731750236341338
+2023,5.648512220575472
+2024,2.6268902550166535
+"
+CN,macro,在2017-2019年间，对于中国的（城镇非私营单位）实际工资增长率，最大值领先平均值多少？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.7608,hard,labor,名义工资增长率 - 通胀率 = 城镇非私营单位就业人员平均工资同比增速 - CPI同比增速,"year,城镇非私营单位就业人员平均工资 (元),居民消费价格指数 (上年=100)
+2016,67569.0,102.0
+2017,74318.0,101.6
+2018,82413.0,102.1
+2019,90501.0,102.9
+","year,（城镇非私营单位）实际工资增长率
+2017,8.388308247865147
+2018,8.792381388089018
+2019,6.913985657602559
+"
+CN,macro,对于中国在2018-2022年的（城镇非私营单位）实际工资增长率，计算最大值与平均值的差。（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.9424,hard,labor,名义工资增长率 - 通胀率 = 城镇非私营单位就业人员平均工资同比增速 - CPI同比增速,"year,城镇非私营单位就业人员平均工资 (元),居民消费价格指数 (上年=100)
+2017,74318.0,101.6
+2018,82413.0,102.1
+2019,90501.0,102.9
+2020,97379.0,102.5
+2021,106837.0,100.9
+2022,114029.0,102.0
+","year,（城镇非私营单位）实际工资增长率
+2018,8.792381388089018
+2019,6.913985657602559
+2020,5.099916023027364
+2021,8.812566364411218
+2022,4.731750236341338
+"
+CN,macro,中国在2017至2019年间的（城镇私营单位）实际工资增长率，最大值比平均值高出多少？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.6688,hard,labor,名义工资增长率 - 通胀率 = 城镇私营单位就业人员平均工资同比增速 - CPI同比增速,"year,城镇私营单位就业人员平均工资 (元),居民消费价格指数 (上年=100)
+2016,42833.0,102.0
+2017,45761.0,101.6
+2018,49575.0,102.1
+2019,53604.0,102.9
+","year,（城镇私营单位）实际工资增长率
+2017,5.235850862652643
+2018,6.234608072376055
+2019,5.227080181543105
+"
+CN,macro,2021至2023年，中国的（城镇私营单位）实际工资增长率的最大值与平均值之差是多少？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.2562,hard,labor,名义工资增长率 - 通胀率 = 城镇私营单位就业人员平均工资同比增速 - CPI同比增速,"year,城镇私营单位就业人员平均工资 (元),居民消费价格指数 (上年=100)
+2020,57727.0,102.5
+2021,62884.0,100.9
+2022,65237.0,102.0
+2023,68340.0,100.2
+","year,（城镇私营单位）实际工资增长率
+2021,8.033428031943451
+2022,1.7418103174098327
+2023,4.556503211367777
+"
+CN,macro,中国在2017到2021年间，（城镇私营单位）实际工资增长率的最大值与平均值相差多少？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.0489,hard,labor,名义工资增长率 - 通胀率 = 城镇私营单位就业人员平均工资同比增速 - CPI同比增速,"year,城镇私营单位就业人员平均工资 (元),居民消费价格指数 (上年=100)
+2016,42833.0,102.0
+2017,45761.0,101.6
+2018,49575.0,102.1
+2019,53604.0,102.9
+2020,57727.0,102.5
+2021,62884.0,100.9
+","year,（城镇私营单位）实际工资增长率
+2017,5.235850862652643
+2018,6.234608072376055
+2019,5.227080181543105
+2020,5.191590179837315
+2021,8.033428031943451
+"
+CN,macro,在2019-2023年间，对于中国的（城镇私营单位）实际工资增长率，最大值领先平均值多少？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.0833,hard,labor,名义工资增长率 - 通胀率 = 城镇私营单位就业人员平均工资同比增速 - CPI同比增速,"year,城镇私营单位就业人员平均工资 (元),居民消费价格指数 (上年=100)
+2018,49575.0,102.1
+2019,53604.0,102.9
+2020,57727.0,102.5
+2021,62884.0,100.9
+2022,65237.0,102.0
+2023,68340.0,100.2
+","year,（城镇私营单位）实际工资增长率
+2019,5.227080181543105
+2020,5.191590179837315
+2021,8.033428031943451
+2022,1.7418103174098327
+2023,4.556503211367777
+"
+CN,macro,对于中国在2018-2020年的（城镇私营单位）实际工资增长率，计算最大值与平均值的差。（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.6835,hard,labor,名义工资增长率 - 通胀率 = 城镇私营单位就业人员平均工资同比增速 - CPI同比增速,"year,城镇私营单位就业人员平均工资 (元),居民消费价格指数 (上年=100)
+2017,45761.0,101.6
+2018,49575.0,102.1
+2019,53604.0,102.9
+2020,57727.0,102.5
+","year,（城镇私营单位）实际工资增长率
+2018,6.234608072376055
+2019,5.227080181543105
+2020,5.191590179837315
+"
+CN,macro,中国在2021至2025年间的就业弹性，最大值比平均值高出多少？写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.348,hard,labor,就业弹性 = 就业增长率 / GDP增长率,"year,就业人员 (万人),GDP增长率 (%)
+2020,75064,2.3
+2021,74652,8.6
+2022,73351,3.1
+2023,74041,5.4
+2024,73439,5.0
+2025,72504,5.0
+","year,就业弹性
+2021,-0.06382150797211149
+2022,-0.5621784002502801
+2023,0.17420045776850712
+2024,-0.16261260652881582
+2025,-0.2546330968558941
+"
+CN,macro,2020至2024年，中国的就业弹性的最大值与平均值之差是多少？写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.3412,hard,labor,就业弹性 = 就业增长率 / GDP增长率,"year,就业人员 (万人),GDP增长率 (%)
+2019,75447,6.1
+2020,75064,2.3
+2021,74652,8.6
+2022,73351,3.1
+2023,74041,5.4
+2024,73439,5.0
+","year,就业弹性
+2020,-0.22071353285144937
+2021,-0.06382150797211149
+2022,-0.5621784002502801
+2023,0.17420045776850712
+2024,-0.16261260652881582
+"
+CN,macro,中国在2019到2023年间，就业弹性的最大值与平均值相差多少？写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.3232,hard,labor,就业弹性 = 就业增长率 / GDP增长率,"year,就业人员 (万人),GDP增长率 (%)
+2018,75782,6.8
+2019,75447,6.1
+2020,75064,2.3
+2021,74652,8.6
+2022,73351,3.1
+2023,74041,5.4
+","year,就业弹性
+2019,-0.0724684394538089
+2020,-0.22071353285144937
+2021,-0.06382150797211149
+2022,-0.5621784002502801
+2023,0.17420045776850712
+"
+CN,macro,在2017-2019年间，对于中国的就业弹性，最大值领先平均值多少？写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0182,hard,labor,就业弹性 = 就业增长率 / GDP增长率,"year,就业人员 (万人),GDP增长率 (%)
+2016,76245,6.8
+2017,76058,6.9
+2018,75782,6.8
+2019,75447,6.1
+","year,就业弹性
+2017,-0.03554521512933619
+2018,-0.05336484695116625
+2019,-0.0724684394538089
+"
+CN,macro,对于中国在2017-2021年的就业弹性，计算最大值与平均值的差。写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0536,hard,labor,就业弹性 = 就业增长率 / GDP增长率,"year,就业人员 (万人),GDP增长率 (%)
+2016,76245,6.8
+2017,76058,6.9
+2018,75782,6.8
+2019,75447,6.1
+2020,75064,2.3
+2021,74652,8.6
+","year,就业弹性
+2017,-0.03554521512933619
+2018,-0.05336484695116625
+2019,-0.0724684394538089
+2020,-0.22071353285144937
+2021,-0.06382150797211149
+"
+CN,macro,中国2019-2021年的GDP平减指数的最大值是？（实际GDP以1978年为基期）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,726.1246,medium,inflation,GDP平减指数 = 名义GDP / 实际GDP * 100；实际GDP = 1978年GDP × t年GDP指数(1978年=100) / 100,"year,国内生产总值 (亿元),国内生产总值指数 (1978年=100)
+1978,3684.8,100.0
+2019,1005872.4,3948.4
+2020,1034867.6,4040.8
+2021,1173823.0,4387.1
+","year,GDP平减指数
+2019,691.3656973921468
+2020,695.0299412342349
+2021,726.124616943056
+"
+CN,macro,中国2022-2024年的增量资本产出率的最小值是？（名义口径）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,8.4514,medium,productivity,增量资本产出率 = \Delta K / \Delta Y = 固定资本形成总额 / GDP增量,"year,固定资本形成总额 (亿元),国内生产总值 (亿元)
+2021,485400.7,1173823.0
+2022,508826.5,1234029.4
+2023,523590.3,1294271.7
+2024,534534.3,1348066.2
+","year,增量资本产出率
+2022,8.451368957453042
+2023,8.691406204610375
+2024,9.936597607562112
+"
+CN,macro,中国2022-2024年的劳动生产率的平均值是？（单位：元/人；实际GDP以1978年为基期）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,23861.4593,medium,productivity,实际GDP / 从业人数；实际GDP = 1978年GDP × t年GDP指数(1978年=100) / 100,"year,国内生产总值 (亿元),国内生产总值指数 (1978年=100),就业人员 (万人)
+1978,3684.8,100.0,40152
+2022,1234029.4,4524.6,73351
+2023,1294271.7,4769.6,74041
+2024,1348066.2,5006.1,73439
+","year,劳动生产率
+2022,22729.40529781462
+2023,23736.878324171746
+2024,25118.09430956304
+"
+CN,macro,中国2018-2022年的全要素生产率增长率的最大值是？（单位：%；\Delta K 直接取 6%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,5.9617,medium,productivity,全要素生产率增长率 = \Delta TFP * 100% = (\Delta Y - \alpha \Delta K - \beta \Delta L) * 100%；\alpha = 1 - \beta；\beta = 劳动者报酬 / GDP,"year,国内生产总值 (亿元),GDP增长率 (%),就业人员 (万人),非金融交易资金来源劳动者报酬 (亿元)
+2017,847382.9,6.9,76058,431178.4
+2018,936010.1,6.8,75782,476220.2
+2019,1005872.4,6.1,75447,520757.3
+2020,1034867.6,2.3,75064,539446.5
+2021,1173823.0,8.6,74652,602544.8
+2022,1234029.4,3.1,73351,651406.4
+","year,全要素生产率增长率
+2018,4.037286053856434
+2019,3.435163048591045
+2020,-0.30775520613602786
+2021,5.961652082731456
+2022,1.1871626594802862
+"
+CN,macro,中国2021-2023年的贸易开放度的最小值是？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,32.2583,medium,external trade,进出口总额 / GDP * 100%,"year,进出口总额 (人民币) (亿元),国内生产总值 (亿元)
+2021,387391.8,1173823.0
+2022,416727.8,1234029.4
+2023,417510.1,1294271.7
+","year,贸易开放度
+2021,33.00257364185231
+2022,33.76968166236558
+2023,32.25830403307126
+"
+CN,macro,中国2022-2024年的中央政府杠杆率的最���值是？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,20.9633,medium,fiscal,中央财政债务余额 / GDP * 100%,"year,中央财政债务余额 (亿元),国内生产总值 (亿元)
+2022,258692.76,1234029.4
+2023,300325.5,1294271.7
+2024,345723.62,1348066.2
+","year,中央政府杠杆率
+2022,20.963257439409468
+2023,23.204208204506056
+2024,25.6458933544955
+"
+CN,macro,中国2023-2025年的财政赤字率的平均值是？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,4.7899,medium,fiscal,财政赤字 / GDP * 100%；财政赤字 = 一般公共预算支出 - 一般公共预算收入,"year,一般公共预算支出 (亿元),一般公共预算收入 (亿元),国内生产总值 (亿元)
+2023,274622.94,216795.43,1294271.7
+2024,284605.57,219734.3,1348066.2
+2025,287395.0,216045.0,1401879.2
+","year,财政赤字率
+2023,4.467957539363645
+2024,4.8121724289207775
+2025,5.089596878247427
+"
+CN,macro,中国2021-2023年的赤字依存度的平均值是？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,20.1492,medium,fiscal,(一般公共预算支出 - 一般公共预算收入) / 一般公共预算支出 * 100%,"year,一般公共预算支出 (亿元),一般公共预算收入 (亿元)
+2021,245673.0,202554.64
+2022,260552.12,203649.29
+2023,274622.94,216795.43
+","year,赤字依存度
+2021,17.551118763559685
+2022,21.83932719488139
+2023,21.057057360175378
+"
+CN,macro,中国2019-2021年的宏观税负的最小值是？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,14.7156,medium,fiscal,税收 / GDP * 100%,"year,税收 (亿元),国内生产总值 (亿元)
+2019,158000.46,1005872.4
+2020,154312.29,1034867.6
+2021,172735.67,1173823.0
+","year,宏观税负
+2019,15.707803494757385
+2020,14.911307494794505
+2021,14.715648781801004
+"
+CN,macro,中国2019-2023年的企业贷款实际利率的最大值是？（单位：%；LPR用每年8月份公布的1年期LPR）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,6.45,medium,inflation,名义利率 - 通胀率 = 1年期LPR - PPI同比增速,"year,1年期LPR (%),工业生产者出厂价格指数 (上年=100)
+2019,4.25,99.7
+2020,3.85,98.2
+2021,3.85,108.1
+2022,3.65,104.1
+2023,3.45,97.0
+","year,企业贷款实际利率
+2019,4.549999999999997
+2020,5.649999999999997
+2021,-4.249999999999995
+2022,-0.4499999999999944
+2023,6.45
+"
+CN,macro,中国2022-2024年的（城镇非私营单位）实际工资增长率的平均值是？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,4.3357,medium,labor,名义工资增长率 - 通胀率 = 城镇非私营单位就业人员平均工资同比增速 - CPI同比增速,"year,城镇非私营单位就业人员平均工资 (元),居民消费价格指数 (上年=100)
+2021,106837.0,100.9
+2022,114029.0,102.0
+2023,120698.0,100.2
+2024,124110.0,100.2
+","year,（城镇非私营单位）实际工资增长率
+2022,4.731750236341338
+2023,5.648512220575472
+2024,2.6268902550166535
+"
+CN,macro,中国2017-2021年的（城镇私营单位）实际工资增长率的最小值是？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,5.1916,medium,labor,名义工资增长率 - 通胀率 = 城镇私营单位就业人员平均工资同比增速 - CPI同比增速,"year,城镇私营单位就业人员平均工资 (元),居民消费价格指数 (上年=100)
+2016,42833.0,102.0
+2017,45761.0,101.6
+2018,49575.0,102.1
+2019,53604.0,102.9
+2020,57727.0,102.5
+2021,62884.0,100.9
+","year,（城镇私营单位）实际工资增长率
+2017,5.235850862652643
+2018,6.234608072376055
+2019,5.227080181543105
+2020,5.191590179837315
+2021,8.033428031943451
+"
+CN,macro,中国2019-2021年的就业弹性的最大值是？写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-0.0638,medium,labor,就业弹性 = 就业增长率 / GDP增长率,"year,就业人员 (万人),GDP增长率 (%)
+2018,75782,6.8
+2019,75447,6.1
+2020,75064,2.3
+2021,74652,8.6
+","year,就业弹性
+2019,-0.0724684394538089
+2020,-0.22071353285144937
+2021,-0.06382150797211149
+"
+CN,macro,2019至2023年间，中国GDP平减指数的最大值是多少？（实际GDP以1978年为基期）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,740.1699,medium,inflation,GDP平减指数 = 名义GDP / 实际GDP * 100；实际GDP = 1978年GDP × t年GDP指数(1978年=100) / 100,"year,国内生产总值 (亿元),国内生产总值指数 (1978年=100)
+1978,3684.8,100.0
+2019,1005872.4,3948.4
+2020,1034867.6,4040.8
+2021,1173823.0,4387.1
+2022,1234029.4,4524.6
+2023,1294271.7,4769.6
+","year,GDP平减指数
+2019,691.3656973921468
+2020,695.0299412342349
+2021,726.124616943056
+2022,740.1698571857929
+2023,736.4267846200054
+"
+CN,macro,中国的GDP平减指数在2016到2018年的平均值是？（实际GDP以1978年为基期）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,658.3895,medium,inflation,GDP平减指数 = 名义GDP / 实际GDP * 100；实际GDP = 1978年GDP × t年GDP指数(1978年=100) / 100,"year,国内生产总值 (亿元),国内生产总值指数 (1978年=100)
+1978,3684.8,100.0
+2016,761193.0,3262.1
+2017,847382.9,3486.9
+2018,936010.1,3722.5
+","year,GDP平减指数
+2016,633.2622431415804
+2017,659.517437432558
+2018,682.3888279573436
+"
+CN,macro,对于中国的GDP平减指数，其2017-2021年的平均值是多少？（实际GDP以1978年为基期）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,690.8853,medium,inflation,GDP平减指数 = 名义GDP / 实际GDP * 100；实际GDP = 1978年GDP × t年GDP指数(1978年=100) / 100,"year,国内生产总值 (亿元),国内生产总值指数 (1978年=100)
+1978,3684.8,100.0
+2017,847382.9,3486.9
+2018,936010.1,3722.5
+2019,1005872.4,3948.4
+2020,1034867.6,4040.8
+2021,1173823.0,4387.1
+","year,GDP平减指数
+2017,659.517437432558
+2018,682.3888279573436
+2019,691.3656973921468
+2020,695.0299412342349
+2021,726.124616943056
+"
+CN,macro,计算中国在2020至2022年的GDP平减指数的最小值。（实际GDP以1978年为基期）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,695.0299,medium,inflation,GDP平减指数 = 名义GDP / 实际GDP * 100；实际GDP = 1978年GDP × t年GDP指数(1978年=100) / 100,"year,国内生产总值 (亿元),国内生产总值指数 (1978年=100)
+1978,3684.8,100.0
+2020,1034867.6,4040.8
+2021,1173823.0,4387.1
+2022,1234029.4,4524.6
+","year,GDP平减指数
+2020,695.0299412342349
+2021,726.124616943056
+2022,740.1698571857929
+"
+CN,macro,2018至2022年间，中国增量资本产出率的最大值是多少？（名义口径）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,14.9365,medium,productivity,增量资本产出率 = \Delta K / \Delta Y = 固定资本形成总额 / GDP增量,"year,固定资本形成总额 (亿元),国内生产总值 (亿元)
+2017,350973.2,847382.9
+2018,396684.6,936010.1
+2019,424984.6,1005872.4
+2020,433086.0,1034867.6
+2021,485400.7,1173823.0
+2022,508826.5,1234029.4
+","year,增量资本产出率
+2018,4.475878737001735
+2019,6.0831750457686
+2020,14.936472243681736
+2021,3.4932122105366177
+2022,8.451368957453042
+"
+CN,macro,中国的增量资本产出率在2017到2021年的最小值是？（名义口径）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.4932,medium,productivity,增量资本产出率 = \Delta K / \Delta Y = 固定资本形成总额 / GDP增量,"year,固定资本形成总额 (亿元),国内生产总值 (亿元)
+2016,312702.5,761193.0
+2017,350973.2,847382.9
+2018,396684.6,936010.1
+2019,424984.6,1005872.4
+2020,433086.0,1034867.6
+2021,485400.7,1173823.0
+","year,增量资本产出率
+2017,4.072091973653524
+2018,4.475878737001735
+2019,6.0831750457686
+2020,14.936472243681736
+2021,3.4932122105366177
+"
+CN,macro,对于中国的增量资本产出率，其2020-2022年的最大值是多少？（名义口径）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,14.9365,medium,productivity,增量资本产出率 = \Delta K / \Delta Y = 固定资本形成总额 / GDP增量,"year,固定资本形成总额 (亿元),国内生产总值 (亿元)
+2019,424984.6,1005872.4
+2020,433086.0,1034867.6
+2021,485400.7,1173823.0
+2022,508826.5,1234029.4
+","year,增量资本产出率
+2020,14.936472243681736
+2021,3.4932122105366177
+2022,8.451368957453042
+"
+CN,macro,计算中国在2019至2021年的增量资本产出率的最大值。（名义口径）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,14.9365,medium,productivity,增量资本产出率 = \Delta K / \Delta Y = 固定资本形成总额 / GDP增量,"year,固定资本形成总额 (亿元),国内生产总值 (亿元)
+2018,396684.6,936010.1
+2019,424984.6,1005872.4
+2020,433086.0,1034867.6
+2021,485400.7,1173823.0
+","year,增量资本产出率
+2019,6.0831750457686
+2020,14.936472243681736
+2021,3.4932122105366177
+"
+CN,macro,2019至2021年间，中国劳动生产率的最小值是多少？（单位：元/人；实际GDP以1978年为基期）��出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,19283.8209,medium,productivity,实际GDP / 从业人数；实际GDP = 1978年GDP × t年GDP指数(1978年=100) / 100,"year,国内生产总值 (亿元),国内生产总值指数 (1978年=100),就业人员 (万人)
+1978,3684.8,100.0,40152
+2019,1005872.4,3948.4,75447
+2020,1034867.6,4040.8,75064
+2021,1173823.0,4387.1,74652
+","year,劳动生产率
+2019,19283.820854374593
+2020,19835.793243099222
+2021,21654.59208058726
+"
+CN,macro,中国的劳动生产率在2019到2023年的最大值是？（单位：元/人；实际GDP以1978年为基期）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,23736.8783,medium,productivity,实际GDP / 从业人数；实际GDP = 1978年GDP × t年GDP指数(1978年=100) / 100,"year,国内生产总值 (亿元),国内生产总值指数 (1978年=100),就业人员 (万人)
+1978,3684.8,100.0,40152
+2019,1005872.4,3948.4,75447
+2020,1034867.6,4040.8,75064
+2021,1173823.0,4387.1,74652
+2022,1234029.4,4524.6,73351
+2023,1294271.7,4769.6,74041
+","year,劳动生产率
+2019,19283.820854374593
+2020,19835.793243099222
+2021,21654.59208058726
+2022,22729.40529781462
+2023,23736.878324171746
+"
+CN,macro,对于中国的劳动生产率，其2020-2024年的最小值是多少？（单位：元/人；实际GDP以1978年为基期）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,19835.7932,medium,productivity,实际GDP / 从业人数；实际GDP = 1978年GDP × t年GDP指数(1978年=100) / 100,"year,国内生产总值 (亿元),国内生产总值指数 (1978年=100),就业人员 (万人)
+1978,3684.8,100.0,40152
+2020,1034867.6,4040.8,75064
+2021,1173823.0,4387.1,74652
+2022,1234029.4,4524.6,73351
+2023,1294271.7,4769.6,74041
+2024,1348066.2,5006.1,73439
+","year,劳动生产率
+2020,19835.793243099222
+2021,21654.59208058726
+2022,22729.40529781462
+2023,23736.878324171746
+2024,25118.09430956304
+"
+CN,macro,计算中国在2016至2020年的劳动生产率的最大值。（单位：元/人；实际GDP以1978年为基期）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,19835.7932,medium,productivity,实际GDP / 从业人数；实际GDP = 1978年GDP × t年GDP指数(1978年=100) / 100,"year,国内生产总值 (亿元),国内生产总值指数 (1978年=100),就业人员 (万人)
+1978,3684.8,100.0,40152
+2016,761193.0,3262.1,76245
+2017,847382.9,3486.9,76058
+2018,936010.1,3722.5,75782
+2019,1005872.4,3948.4,75447
+2020,1034867.6,4040.8,75064
+","year,劳动生产率
+2016,15765.212249983606
+2017,16893.067290751795
+2018,18100.166266395714
+2019,19283.820854374593
+2020,19835.793243099222
+"
+CN,macro,2021至2023年间，中国全要素生产率增长率的最大值是多少？（单位：%；\Delta K 直接取 6%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,5.9617,medium,productivity,全要素生产率增长率 = \Delta TFP * 100% = (\Delta Y - \alpha \Delta K - \beta \Delta L) * 100%；\alpha = 1 - \beta；\beta = 劳动者报酬 / GDP,"year,国内生产总值 (亿元),GDP增长率 (%),就业人员 (万人),非金融交易资金来源劳动者报酬 (亿元)
+2020,1034867.6,2.3,75064,539446.5
+2021,1173823.0,8.6,74652,602544.8
+2022,1234029.4,3.1,73351,651406.4
+2023,1294271.7,5.4,74041,688820.6
+","year,全要素生产率增长率
+2021,5.961652082731456
+2022,1.1871626594802862
+2023,2.0926047562207852
+"
+CN,macro,中国的全要素生产率增长率在2017到2019年的最大值是？（单位：%；\Delta K 直接取 6%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,4.0778,medium,productivity,全要素生产率增长率 = \Delta TFP * 100% = (\Delta Y - \alpha \Delta K - \beta \Delta L) * 100%；\alpha = 1 - \beta；\beta = 劳动者报酬 / GDP,"year,国内生产总值 (亿元),GDP增长率 (%),就业人员 (万人),非金融交易资金来源劳动者报酬 (亿元)
+2016,761193.0,6.8,76245,386512.7
+2017,847382.9,6.9,76058,431178.4
+2018,936010.1,6.8,75782,476220.2
+2019,1005872.4,6.1,75447,520757.3
+","year,全要素生产率增长率
+2017,4.077810255565872
+2018,4.037286053856434
+2019,3.435163048591045
+"
+CN,macro,对于中国的全要素生产率增长率，其2020-2022年的最大值是多少？（单位：%；\Delta K 直接取 6%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,5.9617,medium,productivity,全要素生产率增长率 = \Delta TFP * 100% = (\Delta Y - \alpha \Delta K - \beta \Delta L) * 100%；\alpha = 1 - \beta；\beta = 劳动者报酬 / GDP,"year,国内生产总值 (亿元),GDP增长率 (%),就业人员 (万人),非金融交易资金来源��动者报酬 (亿元)
+2019,1005872.4,6.1,75447,520757.3
+2020,1034867.6,2.3,75064,539446.5
+2021,1173823.0,8.6,74652,602544.8
+2022,1234029.4,3.1,73351,651406.4
+","year,全要素生产率增长率
+2020,-0.30775520613602786
+2021,5.961652082731456
+2022,1.1871626594802862
+"
+CN,macro,计算中国在2019至2021年的全要素生产率增长率的平均值。（单位：%；\Delta K 直接取 6%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.0297,medium,productivity,全要素生产率增长率 = \Delta TFP * 100% = (\Delta Y - \alpha \Delta K - \beta \Delta L) * 100%；\alpha = 1 - \beta；\beta = 劳动者报酬 / GDP,"year,国内生产总值 (亿元),GDP增长率 (%),就业人员 (万人),非金融交易资金来源劳动者报酬 (亿元)
+2018,936010.1,6.8,75782,476220.2
+2019,1005872.4,6.1,75447,520757.3
+2020,1034867.6,2.3,75064,539446.5
+2021,1173823.0,8.6,74652,602544.8
+","year,全要素生产率增长率
+2019,3.435163048591045
+2020,-0.30775520613602786
+2021,5.961652082731456
+"
+CN,macro,2016至2020年间，中国贸易开放度的最小值是多少？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,31.1359,medium,external trade,进出口总额 / GDP * 100%,"year,进出口总额 (人民币) (亿元),国内生产总值 (亿元)
+2016,243386.5,761193.0
+2017,278099.2,847382.9
+2018,305010.1,936010.1
+2019,315627.3,1005872.4
+2020,322215.2,1034867.6
+","year,贸易开放度
+2016,31.974348161373
+2017,32.81859947846481
+2018,32.58619752073188
+2019,31.37846311321396
+2020,31.135886368459115
+"
+CN,macro,中国的贸易开放度在2020到2024年的平均值是？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,32.535,medium,external trade,进出口总额 / GDP * 100%,"year,进出口总额 (人民币) (亿元),国内生产总值 (亿元)
+2020,322215.2,1034867.6
+2021,387391.8,1173823.0
+2022,416727.8,1234029.4
+2023,417510.1,1294271.7
+2024,438233.92,1348066.2
+","year,贸易开放度
+2020,31.135886368459115
+2021,33.00257364185231
+2022,33.76968166236558
+2023,32.25830403307126
+2024,32.50833824036238
+"
+CN,macro,对于中国的贸易开放度，其2021-2025年的最小值是多少？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,32.2583,medium,external trade,进出口总额 / GDP * 100%,"year,进出口总额 (人民币) (亿元),国内生产总值 (亿元)
+2021,387391.8,1173823.0
+2022,416727.8,1234029.4
+2023,417510.1,1294271.7
+2024,438233.92,1348066.2
+2025,454685.0,1401879.2
+","year,贸易开放度
+2021,33.00257364185231
+2022,33.76968166236558
+2023,32.25830403307126
+2024,32.50833824036238
+2025,32.43396435299133
+"
+CN,macro,计算中国在2018至2020年的贸易开放度的平均值。（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,31.7002,medium,external trade,进出口总额 / GDP * 100%,"year,进出口总额 (人民币) (亿元),国内生产总值 (亿元)
+2018,305010.1,936010.1
+2019,315627.3,1005872.4
+2020,322215.2,1034867.6
+","year,贸易开放度
+2018,32.58619752073188
+2019,31.37846311321396
+2020,31.135886368459115
+"
+CN,macro,2018至2020年间，中国中央政府杠杆率的最小值是多少？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,15.9835,medium,fiscal,中央财政债务余额 / GDP * 100%,"year,中央财政债务余额 (亿元),国内生产总值 (亿元)
+2018,149607.41,936010.1
+2019,168038.04,1005872.4
+2020,208905.87,1034867.6
+","year,中央政府杠杆率
+2018,15.983525177773188
+2019,16.705701438870378
+2020,20.18672436937827
+"
+CN,macro,中国的中央政府杠杆率在2021到2023年的最大值是？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,23.2042,medium,fiscal,中央财政债务余额 / GDP * 100%,"year,中央财政债务余额 (亿元),国内生产总值 (亿元)
+2021,232697.29,1173823.0
+2022,258692.76,1234029.4
+2023,300325.5,1294271.7
+","year,中央政府杠杆率
+2021,19.823882305935392
+2022,20.963257439409468
+2023,23.204208204506056
+"
+CN,macro,对于中国的中央政府杠杆率，其2016-2020年的最大值是多少？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,20.1867,medium,fiscal,中央财政债务余额 / GDP * 100%,"year,中央财政债务余额 (亿元),国内生产总值 (亿元)
+2016,120066.75,761193.0
+2017,134770.15,847382.9
+2018,149607.41,936010.1
+2019,168038.04,1005872.4
+2020,208905.87,1034867.6
+","year,中央政府杠杆率
+2016,15.773496340612697
+2017,15.904280107611326
+2018,15.983525177773188
+2019,16.705701438870378
+2020,20.18672436937827
+"
+CN,macro,计算中国在2020至2022年的中央政府杠杆率的最小值。（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,19.8239,medium,fiscal,中央财政债务余额 / GDP * 100%,"year,中央财政债务余额 (亿元),国内生产总值 (亿元)
+2020,208905.87,1034867.6
+2021,232697.29,1173823.0
+2022,258692.76,1234029.4
+","year,中央政府杠杆率
+2020,20.18672436937827
+2021,19.823882305935392
+2022,20.963257439409468
+"
+CN,macro,2016至2018年间，中国财政赤字率的平均值是多少？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.7692,medium,fiscal,财政赤字 / GDP * 100%；财政赤字 = 一般公共预算支出 - 一般公共预算收入,"year,一般公共预算支出 (亿元),一般公共预算收入 (亿元),国内生产总值 (亿元)
+2016,187755.21,159604.97,761193.0
+2017,203085.49,172592.77,847382.9
+2018,220904.13,183359.84,936010.1
+","year,财政赤字率
+2016,3.6981737877253194
+2017,3.5984582648528782
+2018,4.011098811861112
+"
+CN,macro,中国的财政赤字率在2021到2023年的最大值是？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,4.6111,medium,fiscal,财政赤字 / GDP * 100%；财政赤字 = 一般公共预算支出 - 一般公共预算收入,"year,一般公共预算支出 (亿元),一般公共预算收入 (亿元),国内生产总值 (亿元)
+2021,245673.0,202554.64,1173823.0
+2022,260552.12,203649.29,1234029.4
+2023,274622.94,216795.43,1294271.7
+","year,财政赤字率
+2021,3.6733272392856495
+2022,4.6111405449497385
+2023,4.467957539363645
+"
+CN,macro,对于中国的财政赤字率，其2016-2020年的最小值是多少？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.5985,medium,fiscal,财政赤字 / GDP * 100%；财政赤字 = 一般公共预算支出 - 一般公共预算收入,"year,一般公共预算支出 (亿元),一般公共预算收入 (亿元),国内生产总值 (亿元)
+2016,187755.21,159604.97,761193.0
+2017,203085.49,172592.77,847382.9
+2018,220904.13,183359.84,936010.1
+2019,238858.37,190390.08,1005872.4
+2020,245679.03,182913.88,1034867.6
+","year,财政赤字率
+2016,3.6981737877253194
+2017,3.5984582648528782
+2018,4.011098811861112
+2019,4.81853264887276
+2020,6.065041557006905
+"
+CN,macro,计算中国在2020至2022年的财政赤字率的最小值。（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.6733,medium,fiscal,财政赤字 / GDP * 100%；财政赤字 = 一般公共预算支出 - 一般公共预算收入,"year,一般公共预算支出 (亿元),一般公共预算收入 (亿元),国内生产总值 (亿元)
+2020,245679.03,182913.88,1034867.6
+2021,245673.0,202554.64,1173823.0
+2022,260552.12,203649.29,1234029.4
+","year,财政赤字率
+2020,6.065041557006905
+2021,3.6733272392856495
+2022,4.6111405449497385
+"
+CN,macro,2016至2020年间，中国赤字依存度的平均值是多少？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,18.5686,medium,fiscal,(一般公共预算支出 - 一般公共预算收入) / 一般公共预算支出 * 100%,"year,一般公共预算支出 (亿元),一般公共预算收入 (亿元)
+2016,187755.21,159604.97
+2017,203085.49,172592.77
+2018,220904.13,183359.84
+2019,238858.37,190390.08
+2020,245679.03,182913.88
+","year,赤字依存度
+2016,14.993053987689606
+2017,15.01472114034341
+2018,16.995739282918798
+2019,20.29164395620719
+2020,25.547622033512585
+"
+CN,macro,中国的赤字依存度在2021到2025年的最小值是？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,17.5511,medium,fiscal,(一般公共预算支出 - 一般公共预算收入) / 一般公共预算支出 * 100%,"year,一般公共预算支出 (亿元),一般公共预算收入 (亿元)
+2021,245673.0,202554.64
+2022,260552.12,203649.29
+2023,274622.94,216795.43
+2024,284605.57,219734.3
+2025,287395.0,216045.0
+","year,赤字依存度
+2021,17.551118763559685
+2022,21.83932719488139
+2023,21.057057360175378
+2024,22.793394380861912
+2025,24.82645835870492
+"
+CN,macro,对于中国的赤字依存度，其2016-2018年的平均值是多少？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,15.6678,medium,fiscal,(一般公共预算支出 - 一般公共预算收入) / 一般公共预算支出 * 100%,"year,一般公共预算支出 (亿元),一般公共预算收入 (亿元)
+2016,187755.21,159604.97
+2017,203085.49,172592.77
+2018,220904.13,183359.84
+","year,赤字依存度
+2016,14.993053987689606
+2017,15.01472114034341
+2018,16.995739282918798
+"
+CN,macro,计算中国在2023至2025年的赤字依存度的最大值。（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,24.8265,medium,fiscal,(一般公共预算支出 - 一般公共预算收入) / 一般公共预算支出 * 100%,"year,一般公共预算支出 (亿元),一般公共预算收入 (亿元)
+2023,274622.94,216795.43
+2024,284605.57,219734.3
+2025,287395.0,216045.0
+","year,赤字依存度
+2023,21.057057360175378
+2024,22.793394380861912
+2025,24.82645835870492
+"
+CN,macro,2021至2025年间，中国宏观税负的平均值是多少？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,13.5551,medium,fiscal,税收 / GDP * 100%,"year,税收 (亿元),国内生产总值 (亿元)
+2021,172735.67,1173823.0
+2022,166620.1,1234029.4
+2023,181136.25,1294271.7
+2024,175006.88,1348066.2
+2025,176363.0,1401879.2
+","year,宏观税负
+2021,14.715648781801004
+2022,13.502117534638966
+2023,13.99522604102369
+2024,12.98206868475747
+2025,12.580470556949559
+"
+CN,macro,中国的宏观税负在2017到2021年的最大值是？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,17.0371,medium,fiscal,税收 / GDP * 100%,"year,税收 (亿元),国内生产总值 (亿元)
+2017,144369.87,847382.9
+2018,156402.86,936010.1
+2019,158000.46,1005872.4
+2020,154312.29,1034867.6
+2021,172735.67,1173823.0
+","year,宏观税负
+2017,17.037146961544774
+2018,16.709526959164222
+2019,15.707803494757385
+2020,14.911307494794505
+2021,14.715648781801004
+"
+CN,macro,对于中国的宏观税负，其2019-2023年的平均值是多少？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,14.5664,medium,fiscal,税收 / GDP * 100%,"year,税收 (亿元),国内生产总值 (亿元)
+2019,158000.46,1005872.4
+2020,154312.29,1034867.6
+2021,172735.67,1173823.0
+2022,166620.1,1234029.4
+2023,181136.25,1294271.7
+","year,宏观税负
+2019,15.707803494757385
+2020,14.911307494794505
+2021,14.715648781801004
+2022,13.502117534638966
+2023,13.99522604102369
+"
+CN,macro,计算中国在2022至2024年的宏观税负的最大值。（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,13.9952,medium,fiscal,税收 / GDP * 100%,"year,税收 (亿元),国内生产总值 (亿元)
+2022,166620.1,1234029.4
+2023,181136.25,1294271.7
+2024,175006.88,1348066.2
+","year,宏观税负
+2022,13.502117534638966
+2023,13.99522604102369
+2024,12.98206868475747
+"
+CN,macro,2021至2023年间，中国企业贷款实际利率的最小值是多少？（单位：%；LPR用每年8月份公布的1年期LPR）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-4.25,medium,inflation,名义利率 - 通胀率 = 1年期LPR - PPI同比增速,"year,1年期LPR (%),工业生产者出厂价格指数 (上年=100)
+2021,3.85,108.1
+2022,3.65,104.1
+2023,3.45,97.0
+","year,企业贷款实际利率
+2021,-4.249999999999995
+2022,-0.4499999999999944
+2023,6.45
+"
+CN,macro,中国的企业贷款实际利率在2023到2025年的平均值是？（单位：%；LPR用每年8月份公布的1年期LPR）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,5.8667,medium,inflation,名义利率 - 通胀率 = 1年期LPR - PPI同比增速,"year,1年期LPR (%),工业生产者出厂价格指数 (上年=100)
+2023,3.45,97.0
+2024,3.35,97.8
+2025,3.0,97.4
+","year,企业贷款实际利率
+2023,6.45
+2024,5.5500000000000025
+2025,5.599999999999994
+"
+CN,macro,对于中国的企业贷款实际利率，其2020-2022年的最小值是多少？（单位：%；LPR用每年8月份公布的1年期LPR）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-4.25,medium,inflation,名义利率 - 通胀率 = 1年期LPR - PPI同比增速,"year,1年期LPR (%),工业生产者出厂价格指数 (上年=100)
+2020,3.85,98.2
+2021,3.85,108.1
+2022,3.65,104.1
+","year,企业贷款实际利率
+2020,5.649999999999997
+2021,-4.249999999999995
+2022,-0.4499999999999944
+"
+CN,macro,计算中国在2021至2025年的企业贷款实际利率的最小值。（单位：%；LPR用每年8月份公布的1年期LPR）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-4.25,medium,inflation,名义利率 - 通胀率 = 1年期LPR - PPI同比��速,"year,1年期LPR (%),工业生产者出厂价格指数 (上年=100)
+2021,3.85,108.1
+2022,3.65,104.1
+2023,3.45,97.0
+2024,3.35,97.8
+2025,3.0,97.4
+","year,企业贷款实际利率
+2021,-4.249999999999995
+2022,-0.4499999999999944
+2023,6.45
+2024,5.5500000000000025
+2025,5.599999999999994
+"
+CN,macro,2020至2022年间，中国（城镇非私营单位）实际工资增长率的最小值是多少？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,4.7318,medium,labor,名义工资增长率 - 通胀率 = 城镇非私营单位就业人员平均工资同比增速 - CPI同比增速,"year,城镇非私营单位就业人员平均工资 (元),居民消费价格指数 (上年=100)
+2019,90501.0,102.9
+2020,97379.0,102.5
+2021,106837.0,100.9
+2022,114029.0,102.0
+","year,（城镇非私营单位）实际工资增长率
+2020,5.099916023027364
+2021,8.812566364411218
+2022,4.731750236341338
+"
+CN,macro,中国的（城镇非私营单位）实际工资增长率在2019到2023年的最大值是？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,8.8126,medium,labor,名义工资增长率 - 通胀率 = 城镇非私营单位就业人员平均工资同比增速 - CPI同比增速,"year,城镇非私营单位就业人员平均工资 (元),居民消费价格指数 (上年=100)
+2018,82413.0,102.1
+2019,90501.0,102.9
+2020,97379.0,102.5
+2021,106837.0,100.9
+2022,114029.0,102.0
+2023,120698.0,100.2
+","year,（城镇非私营单位）实际工资增长率
+2019,6.913985657602559
+2020,5.099916023027364
+2021,8.812566364411218
+2022,4.731750236341338
+2023,5.648512220575472
+"
+CN,macro,对于中国的（城镇非私营单位）实际工资增长率，其2019-2021年的最大值是多少？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,8.8126,medium,labor,名义工资增长率 - 通胀率 = 城镇非私营单位就业人员平均工资同比增速 - CPI同比增速,"year,城镇非私营单位就业人员平均工资 (元),居民消费价格指数 (上年=100)
+2018,82413.0,102.1
+2019,90501.0,102.9
+2020,97379.0,102.5
+2021,106837.0,100.9
+","year,（城镇非私营单位）实际工资增长率
+2019,6.913985657602559
+2020,5.099916023027364
+2021,8.812566364411218
+"
+CN,macro,计算中国在2018至2020年的（城镇非私营单位）实际工资增长率的最小值。（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,5.0999,medium,labor,名义工资增长率 - 通胀率 = 城镇非私营单位就业人员平均工资同比增速 - CPI同比增速,"year,城镇非私营单位就业人员平均工资 (元),居民消费价格指数 (上年=100)
+2017,74318.0,101.6
+2018,82413.0,102.1
+2019,90501.0,102.9
+2020,97379.0,102.5
+","year,（城镇非私营单位）实际工资增长率
+2018,8.792381388089018
+2019,6.913985657602559
+2020,5.099916023027364
+"
+CN,macro,2020至2024年间，中国（城镇私营单位）实际工资增长率的最大值是多少？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,8.0334,medium,labor,名义工资增长率 - 通胀率 = 城镇私营单位就业人员平均工资同比增速 - CPI同比增速,"year,城镇私营单位就业人员平均工资 (元),居民消费价格指数 (上年=100)
+2019,53604.0,102.9
+2020,57727.0,102.5
+2021,62884.0,100.9
+2022,65237.0,102.0
+2023,68340.0,100.2
+2024,69476.0,100.2
+","year,（城镇私营单位）实际工资增长率
+2020,5.191590179837315
+2021,8.033428031943451
+2022,1.7418103174098327
+2023,4.556503211367777
+2024,1.4622768510389212
+"
+CN,macro,中国的（城镇私营单位）实际工资增长率在2017到2019年的最小值是？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,5.2271,medium,labor,名义工资增长率 - 通胀率 = 城镇私营单位就业人员平均工资同比增速 - CPI同比增速,"year,城镇私营单位就业人员平均工资 (元),居民消费价格指数 (上年=100)
+2016,42833.0,102.0
+2017,45761.0,101.6
+2018,49575.0,102.1
+2019,53604.0,102.9
+","year,（城镇私营单位）实际工资增长率
+2017,5.235850862652643
+2018,6.234608072376055
+2019,5.227080181543105
+"
+CN,macro,对于中国的（城镇私营单位）实际工资增长率，其2018-2020年的平均值是多少？（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,5.5511,medium,labor,名义工资增长率 - 通胀率 = 城镇私营单位就业人员平均工资同比增速 - CPI同比增速,"year,城镇私营单位就业人员平均工资 (元),居民消费价格指数 (上年=100)
+2017,45761.0,101.6
+2018,49575.0,102.1
+2019,53604.0,102.9
+2020,57727.0,102.5
+","year,（城镇私营单位）实际工资增长率
+2018,6.234608072376055
+2019,5.227080181543105
+2020,5.191590179837315
+"
+CN,macro,计算中国在2019至2021年的（城镇私营单位）实际工资增长率的最小值。（单位：%）写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,5.1916,medium,labor,名义工资增长率 - 通胀率 = 城镇私营单位就业人员平均工资同比增速 - CPI同比增速,"year,城镇私营单位就业人员平均工资 (元),居民消费价格指数 (上年=100)
+2018,49575.0,102.1
+2019,53604.0,102.9
+2020,57727.0,102.5
+2021,62884.0,100.9
+","year,（城镇私营单位）实际工资增长率
+2019,5.227080181543105
+2020,5.191590179837315
+2021,8.033428031943451
+"
+CN,macro,2020至2022年间，中国就业弹性的最小值是多少？写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-0.5622,medium,labor,就业弹性 = 就业增长率 / GDP增长率,"year,就业人员 (万人),GDP增长率 (%)
+2019,75447,6.1
+2020,75064,2.3
+2021,74652,8.6
+2022,73351,3.1
+","year,就业弹性
+2020,-0.22071353285144937
+2021,-0.06382150797211149
+2022,-0.5621784002502801
+"
+CN,macro,中国的就业弹性在2018到2022年的平均值是？写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-0.1945,medium,labor,就业弹性 = 就业增长率 / GDP增长率,"year,就业人员 (万人),GDP增长率 (%)
+2017,76058,6.9
+2018,75782,6.8
+2019,75447,6.1
+2020,75064,2.3
+2021,74652,8.6
+2022,73351,3.1
+","year,就业弹性
+2018,-0.05336484695116625
+2019,-0.0724684394538089
+2020,-0.22071353285144937
+2021,-0.06382150797211149
+2022,-0.5621784002502801
+"
+CN,macro,对于中国的就业弹性，其2020-2024年的最小值是多少？写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-0.5622,medium,labor,就业弹性 = 就业增长率 / GDP增长率,"year,就业人员 (万人),GDP增长率 (%)
+2019,75447,6.1
+2020,75064,2.3
+2021,74652,8.6
+2022,73351,3.1
+2023,74041,5.4
+2024,73439,5.0
+","year,就业弹性
+2020,-0.22071353285144937
+2021,-0.06382150797211149
+2022,-0.5621784002502801
+2023,0.17420045776850712
+2024,-0.16261260652881582
+"
+CN,macro,计算中国在2022至2024年的就业弹性的平均值。写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-0.1835,medium,labor,就业弹性 = 就业增长率 / GDP增长率,"year,就业人员 (万人),GDP增长率 (%)
+2021,74652,8.6
+2022,73351,3.1
+2023,74041,5.4
+2024,73439,5.0
+","year,就业弹性
+2022,-0.5621784002502801
+2023,0.17420045776850712
+2024,-0.16261260652881582
+"
+CN,technical,中国电建2022年06月29日的布林带下轨的值是？（标准版：中轨SMA(20)，乘数2，用总体标准差）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,7.6014,easy,channel,Middle = SMA_n(P)；Upper = Middle + 2 * \sigma_n(P)；Lower = Middle - 2 * \sigma_n(P),"date,close
+2022-06-01,7.67
+2022-06-02,7.72
+2022-06-06,7.85
+2022-06-07,7.71
+2022-06-08,7.69
+2022-06-09,7.97
+2022-06-10,7.9
+2022-06-13,7.77
+2022-06-14,7.91
+2022-06-15,8.33
+2022-06-16,8.09
+2022-06-17,8.09
+2022-06-20,8.09
+2022-06-21,7.96
+2022-06-22,7.92
+2022-06-23,7.99
+2022-06-24,7.83
+2022-06-27,7.96
+2022-06-28,7.96
+2022-06-29,7.99
+",
+CN,technical,2020年04月30日，圣邦股份的布林带下轨值是多少？（标准版：中轨SMA(20)，乘数2，用总体标准差）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,264.6808,easy,channel,Middle = SMA_n(P)；Upper = Middle + 2 * \sigma_n(P)；Lower = Middle - 2 * \sigma_n(P),"date,close
+2020-04-02,289.87
+2020-04-03,303.0
+2020-04-07,307.0
+2020-04-08,289.86
+2020-04-09,287.5
+2020-04-10,276.0
+2020-04-13,275.2
+2020-04-14,278.0
+2020-04-15,275.08
+2020-04-16,287.32
+2020-04-17,291.58
+2020-04-20,296.37
+2020-04-21,286.23
+2020-04-22,290.7
+2020-04-23,275.9
+2020-04-24,272.02
+2020-04-27,273.56
+2020-04-28,292.01
+2020-04-29,291.42
+2020-04-30,315.42
+",
+CN,technical,对于福斯特2024年07月03日的布林带，其上轨值是多少？（标准版：中轨SMA(20)，乘数2，用总体标准差）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,29.7173,easy,channel,Middle = SMA_n(P)；Upper = Middle + 2 * \sigma_n(P)；Lower = Middle - 2 * \sigma_n(P),"date,close
+2024-06-05,25.55
+2024-06-06,24.92
+2024-06-07,24.56
+2024-06-11,25.29
+2024-06-12,24.81
+2024-06-13,24.48
+2024-06-14,24.45
+2024-06-17,24.1
+2024-06-18,23.3
+2024-06-19,22.9
+2024-06-20,22.4
+2024-06-21,22.31
+2024-06-24,15.31
+2024-06-25,15.35
+2024-06-26,15.44
+2024-06-27,15.02
+2024-06-28,14.7
+2024-07-01,14.38
+2024-07-02,13.87
+2024-07-03,13.51
+",
+CN,technical,关于布林带的中轨，2021年02月10日领益智造的值是？（标准版：中轨SMA(20)，乘数2，用总体标准差）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,10.963,easy,channel,Middle = SMA_n(P)；Upper = Middle + 2 * \sigma_n(P)；Lower = Middle - 2 * \sigma_n(P),"date,close
+2021-01-14,12.41
+2021-01-15,11.9
+2021-01-18,12.05
+2021-01-19,11.81
+2021-01-20,11.82
+2021-01-21,11.88
+2021-01-22,11.69
+2021-01-25,11.18
+2021-01-26,10.79
+2021-01-27,10.63
+2021-01-28,10.19
+2021-01-29,10.31
+2021-02-01,10.88
+2021-02-02,10.77
+2021-02-03,10.28
+2021-02-04,10.17
+2021-02-05,9.92
+2021-02-08,9.81
+2021-02-09,10.26
+2021-02-10,10.51
+",
+CN,technical,计算光大银行2021年07月28日的布林带上轨值。（标准版：中轨SMA(20)，乘数2，用总体标准差）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.8616,easy,channel,Middle = SMA_n(P)；Upper = Middle + 2 * \sigma_n(P)；Lower = Middle - 2 * \sigma_n(P),"date,close
+2021-07-01,3.78
+2021-07-02,3.76
+2021-07-05,3.71
+2021-07-06,3.71
+2021-07-07,3.7
+2021-07-08,3.66
+2021-07-09,3.62
+2021-07-12,3.62
+2021-07-13,3.65
+2021-07-14,3.61
+2021-07-15,3.65
+2021-07-16,3.65
+2021-07-19,3.65
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+",
+CN,technical,联影医疗2025年12月19日的肯特纳通道下轨的值是？（标准版：中轨EMA(20)，ATR(10)，乘数2；EMA从前4n个数据开始计算，初始值用首个数据点；ATR计算用SMA）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,126.1832,easy,channel,Middle = EMA_{n_{ema}}(C)；Upper = Middle + 2 * ATR_{n_{atr}}；Lower = Middle - 2 * ATR_{n_{atr}},"date,close,high,low
+2025-08-21,133.8,136.0,130.11
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+2025-12-15,129.8,130.53,128.31
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+2025-12-17,127.46,127.75,126.01
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+2025-12-19,127.34,128.0,126.61
+",
+CN,technical,2022年01月14日，石头科技的肯特纳通道上轨值是多少？（标准版：中轨EMA(20)，ATR(10)，乘数2；EMA从前4n个数据开始计算，初始值用首个数据点；ATR计算用SMA）使用不复权价格，���出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,924.654,easy,channel,Middle = EMA_{n_{ema}}(C)；Upper = Middle + 2 * ATR_{n_{atr}}；Lower = Middle - 2 * ATR_{n_{atr}},"date,close,high,low
+2021-09-14,791.2,823.38,778.86
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+",
+CN,technical,对于中国铁建2023年03月03日的肯特纳通道，其中轨值是多少？（标准版：中轨EMA(20)，ATR(10)，乘数2；EMA从前4n个数据开始计算，初始值用首个数据点；ATR计算用SMA）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,8.1666,easy,channel,Middle = EMA_{n_{ema}}(C)；Upper = Middle + 2 * ATR_{n_{atr}}；Lower = Middle - 2 * ATR_{n_{atr}},"date,close,high,low
+2022-11-03,6.98,7.02,6.96
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+",
+CN,technical,关于肯特纳通道的中轨，2020年05月19日藏格矿业的值是？（标准版：中轨EMA(20)，ATR(10)，乘数2；EMA从前4n个数据开始计算，初始值用首个数据点；ATR计算用SMA）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,4.5413,easy,channel,Middle = EMA_{n_{ema}}(C)；Upper = Middle + 2 * ATR_{n_{atr}}；Lower = Middle - 2 * ATR_{n_{atr}},"date,close,high,low
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+",
+CN,technical,计算北方华创2023年01月13日的肯特纳通道上轨值。（标准版：中轨EMA(20)，ATR(10)，乘数2；EMA从前4n个数据开始计算，初始值用首个数据点；ATR计算用SMA）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,243.6062,easy,channel,Middle = EMA_{n_{ema}}(C)；Upper = Middle + 2 * ATR_{n_{atr}}；Lower = Middle - 2 * ATR_{n_{atr}},"date,close,high,low
+2022-09-15,311.0,325.0,302.63
+2022-09-16,315.76,323.88,306.0
+2022-09-19,316.0,325.0,312.4
+2022-09-20,310.35,317.9,297.85
+2022-09-21,297.22,309.23,296.3
+2022-09-22,295.88,300.0,289.41
+2022-09-23,285.0,297.89,282.83
+2022-09-26,291.05,296.5,281.05
+2022-09-27,294.98,300.65,288.98
+2022-09-28,285.22,294.99,283.03
+2022-09-29,291.78,293.8,277.8
+2022-09-30,278.4,294.8,278.02
+2022-10-10,250.56,265.0,250.56
+2022-10-11,225.5,240.0,225.5
+2022-10-12,232.0,232.99,211.97
+2022-10-13,221.8,231.0,220.96
+2022-10-14,224.88,226.88,213.11
+2022-10-17,243.0,245.44,218.56
+2022-10-18,238.9,241.8,233.3
+2022-10-19,241.0,244.07,234.28
+2022-10-20,265.1,265.1,237.93
+2022-10-21,262.62,270.89,248.95
+2022-10-24,265.9,275.54,257.0
+2022-10-25,261.69,271.88,258.31
+2022-10-26,261.8,268.0,257.66
+2022-10-27,262.95,268.08,255.61
+2022-10-28,265.9,274.0,258.0
+2022-10-31,265.7,273.85,260.51
+2022-11-01,264.92,265.99,258.0
+2022-11-02,261.65,270.0,259.9
+2022-11-03,267.5,271.65,257.0
+2022-11-04,272.6,274.47,261.7
+2022-11-07,263.65,277.5,263.0
+2022-11-08,258.46,264.99,255.58
+2022-11-09,249.6,260.88,247.0
+2022-11-10,235.0,250.96,233.2
+2022-11-11,238.22,247.98,237.79
+2022-11-14,237.48,242.74,234.45
+2022-11-15,250.01,253.0,237.01
+2022-11-16,242.13,250.0,241.01
+2022-11-17,242.45,242.58,231.02
+2022-11-18,230.53,244.9,230.01
+2022-11-21,230.7,233.0,226.77
+2022-11-22,229.71,235.0,224.77
+2022-11-23,225.76,229.91,221.67
+2022-11-24,229.62,232.23,225.58
+2022-11-25,225.01,234.44,224.5
+2022-11-28,224.0,224.62,218.77
+2022-11-29,225.01,228.0,220.44
+2022-11-30,222.89,228.21,221.0
+2022-12-01,230.99,232.2,224.57
+2022-12-02,226.93,232.65,225.16
+2022-12-05,224.35,227.5,221.0
+2022-12-06,238.3,240.88,223.01
+2022-12-07,239.32,241.98,236.5
+2022-12-08,238.0,241.12,235.16
+2022-12-09,244.81,249.01,239.0
+2022-12-12,243.96,250.0,240.5
+2022-12-13,235.3,243.96,234.38
+2022-12-14,242.3,250.55,240.29
+2022-12-15,247.12,253.5,238.06
+2022-12-16,241.22,244.83,238.0
+2022-12-19,234.4,241.17,234.0
+2022-12-20,231.83,236.98,229.2
+2022-12-21,228.0,232.2,225.33
+2022-12-22,222.95,229.49,222.65
+2022-12-23,217.82,222.0,216.0
+2022-12-26,223.76,224.26,217.39
+2022-12-27,227.52,228.2,221.8
+2022-12-28,224.8,227.32,222.01
+2022-12-29,227.64,231.33,223.93
+2022-12-30,225.3,230.79,224.25
+2023-01-03,230.3,231.0,222.06
+2023-01-04,226.3,234.98,225.16
+2023-01-05,228.31,229.96,224.0
+2023-01-06,228.32,231.1,225.1
+2023-01-09,229.4,233.0,226.5
+2023-01-10,230.5,234.66,228.5
+2023-01-11,228.9,240.0,228.3
+2023-01-12,225.61,231.28,223.99
+2023-01-13,227.11,227.28,224.05
+",
+CN,technical,海南机场2022年07月27日的包络线中轨的值是？（标准版：中轨SMA(20)，上下轨±10%）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.2055,easy,channel,Middle = SMA_n(P)；Upper = Middle * 1.1；Lower = Middle * 0.9,"date,close
+2022-06-30,3.39
+2022-07-01,3.35
+2022-07-04,3.32
+2022-07-05,3.28
+2022-07-06,3.23
+2022-07-07,3.26
+2022-07-08,3.23
+2022-07-11,3.16
+2022-07-12,3.17
+2022-07-13,3.19
+2022-07-14,3.15
+2022-07-15,3.01
+2022-07-18,3.04
+2022-07-19,3.15
+2022-07-20,3.13
+2022-07-21,3.18
+2022-07-22,3.2
+2022-07-25,3.26
+2022-07-26,3.24
+2022-07-27,3.17
+",
+CN,technical,2022年02月09日，今世缘的包络线下轨值是多少？（标准版：中轨SMA(20)，上下轨±10%）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,46.5813,easy,channel,Middle = SMA_n(P)；Upper = Middle * 1.1；Lower = Middle * 0.9,"date,close
+2022-01-06,52.72
+2022-01-07,51.5
+2022-01-10,51.44
+2022-01-11,51.25
+2022-01-12,52.56
+2022-01-13,49.94
+2022-01-14,49.33
+2022-01-17,49.65
+2022-01-18,50.77
+2022-01-19,50.73
+2022-01-20,51.65
+2022-01-21,53.07
+2022-01-24,53.32
+2022-01-25,53.37
+2022-01-26,53.2
+2022-01-27,52.28
+2022-01-28,50.92
+2022-02-07,51.85
+2022-02-08,51.18
+2022-02-09,54.41
+",
+CN,technical,对于中国动力2024年08月16日的包络线，其中轨值是多少？（标准版：中轨SMA(20)，上下轨±10%）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,23.047,easy,channel,Middle = SMA_n(P)；Upper = Middle * 1.1；Lower = Middle * 0.9,"date,close
+2024-07-22,23.72
+2024-07-23,23.0
+2024-07-24,23.84
+2024-07-25,23.25
+2024-07-26,23.65
+2024-07-29,23.87
+2024-07-30,23.73
+2024-07-31,23.26
+2024-08-01,23.09
+2024-08-02,23.63
+2024-08-05,22.57
+2024-08-06,22.86
+2024-08-07,23.03
+2024-08-08,22.59
+2024-08-09,22.34
+2024-08-12,22.09
+2024-08-13,22.59
+2024-08-14,22.55
+2024-08-15,22.48
+2024-08-16,22.8
+",
+CN,technical,关于包络线的下轨，2024年09月09日兴业银行的值是？（标准版：中轨SMA(20)，上下轨±10%）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,15.0115,easy,channel,Middle = SMA_n(P)；Upper = Middle * 1.1；Lower = Middle * 0.9,"date,close
+2024-08-13,16.32
+2024-08-14,16.28
+2024-08-15,16.59
+2024-08-16,16.72
+2024-08-19,16.95
+2024-08-20,16.84
+2024-08-21,16.77
+2024-08-22,16.82
+2024-08-23,17.32
+2024-08-26,17.48
+2024-08-27,17.33
+2024-08-28,17.21
+2024-08-29,16.69
+2024-08-30,16.51
+2024-09-02,16.5
+2024-09-03,16.36
+2024-09-04,16.24
+2024-09-05,16.3
+2024-09-06,16.39
+2024-09-09,15.97
+",
+CN,technical,计算宝钢股份2020年11月27日的包络线中轨值。（标准版：中轨SMA(20)，上下轨±10%）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,6.265,easy,channel,Middle = SMA_n(P)；Upper = Middle * 1.1；Lower = Middle * 0.9,"date,close
+2020-11-02,5.55
+2020-11-03,5.59
+2020-11-04,5.75
+2020-11-05,6.12
+2020-11-06,6.19
+2020-11-09,6.54
+2020-11-10,6.45
+2020-11-11,6.39
+2020-11-12,6.39
+2020-11-13,6.35
+2020-11-16,6.54
+2020-11-17,6.36
+2020-11-18,6.31
+2020-11-19,6.29
+2020-11-20,6.49
+2020-11-23,6.39
+2020-11-24,6.52
+2020-11-25,6.38
+2020-11-26,6.38
+2020-11-27,6.32
+",
+CN,technical,欧派家居2024年05月27日的唐安奇通道上轨的值是？（标准版：20日内最高价和最低价，中轨用两者均值）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,78.8,easy,channel,Upper = max_{i=0}^{n-1} H_{t-i}；Lower = min_{i=0}^{n-1} L_{t-i}；Middle = (Upper + Lower) / 2,"date,high,low
+2024-04-25,60.68,55.2
+2024-04-26,62.2,59.08
+2024-04-29,65.8,61.3
+2024-04-30,63.96,62.27
+2024-05-06,66.15,63.79
+2024-05-07,67.34,65.0
+2024-05-08,67.53,65.36
+2024-05-09,67.0,65.45
+2024-05-10,69.78,66.44
+2024-05-13,68.02,66.55
+2024-05-14,68.86,67.1
+2024-05-15,71.16,66.99
+2024-05-16,75.22,68.32
+2024-05-17,78.8,70.36
+2024-05-20,76.96,73.0
+2024-05-21,75.5,73.02
+2024-05-22,75.72,73.5
+2024-05-23,75.0,72.52
+2024-05-24,74.45,72.08
+2024-05-27,73.48,69.0
+",
+CN,technical,2022年08月18日，紫光国微的唐安奇通道下轨值是多少？（标准版：20日内最高价和最低价，中轨用两者均值）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,206.0,easy,channel,Upper = max_{i=0}^{n-1} H_{t-i}；Lower = min_{i=0}^{n-1} L_{t-i}；Middle = (Upper + Lower) / 2,"date,high,low
+2022-07-22,222.28,210.5
+2022-07-25,226.4,216.0
+2022-07-26,219.77,214.99
+2022-07-27,221.5,215.88
+2022-07-28,224.25,215.54
+2022-07-29,223.47,210.48
+2022-08-01,217.66,206.0
+2022-08-02,216.6,210.3
+2022-08-03,225.3,212.0
+2022-08-04,226.0,217.6
+2022-08-05,228.0,218.0
+2022-08-08,234.58,218.8
+2022-08-09,236.24,226.86
+2022-08-10,250.5,232.3
+2022-08-11,244.44,236.01
+2022-08-12,241.8,231.66
+2022-08-15,236.6,230.0
+2022-08-16,242.11,233.52
+2022-08-17,236.0,230.3
+2022-08-18,237.45,231.65
+",
+CN,technical,对于中国移动2025年04月18日的唐安奇通道，其下轨值是多少？（标准版：20日内最高价和最低价，中轨用两者均值）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,104.6,easy,channel,Upper = max_{i=0}^{n-1} H_{t-i}；Lower = min_{i=0}^{n-1} L_{t-i}；Middle = (Upper + Lower) / 2,"date,high,low
+2025-03-21,108.18,105.1
+2025-03-24,107.1,105.39
+2025-03-25,106.27,105.39
+2025-03-26,107.58,106.0
+2025-03-27,107.48,106.3
+2025-03-28,106.7,106.01
+2025-03-31,107.7,106.3
+2025-04-01,107.39,106.38
+2025-04-02,107.88,106.6
+2025-04-03,109.36,107.18
+2025-04-07,109.2,104.6
+2025-04-08,111.7,107.5
+2025-04-09,112.6,109.12
+2025-04-10,111.7,109.1
+2025-04-11,110.39,109.12
+2025-04-14,110.96,108.62
+2025-04-15,111.99,110.11
+2025-04-16,114.16,111.24
+2025-04-17,114.37,112.88
+2025-04-18,114.81,113.4
+",
+CN,technical,关于唐安奇通道的上轨，2021年11月11日领益智造的值是？（标准版：20日内最高价和最低价，中轨用两者均值）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,6.98,easy,channel,Upper = max_{i=0}^{n-1} H_{t-i}；Lower = min_{i=0}^{n-1} L_{t-i}；Middle = (Upper + Lower) / 2,"date,high,low
+2021-10-15,6.42,6.25
+2021-10-18,6.26,6.07
+2021-10-19,6.14,6.03
+2021-10-20,6.16,6.06
+2021-10-21,6.09,5.9
+2021-10-22,5.97,5.88
+2021-10-25,5.94,5.81
+2021-10-26,6.42,5.83
+2021-10-27,6.98,6.28
+2021-10-28,6.8,6.47
+2021-10-29,6.77,6.52
+2021-11-01,6.93,6.64
+2021-11-02,6.8,6.54
+2021-11-03,6.67,6.48
+2021-11-04,6.75,6.55
+2021-11-05,6.93,6.57
+2021-11-08,6.78,6.5
+2021-11-09,6.68,6.53
+2021-11-10,6.68,6.52
+2021-11-11,6.78,6.5
+",
+CN,technical,计算东方盛虹2022年03月01日的唐安奇通道中轨值。（标准版：20日内最高价和最低价，中轨用两者均值）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,17.945,easy,channel,Upper = max_{i=0}^{n-1} H_{t-i}；Lower = min_{i=0}^{n-1} L_{t-i}；Middle = (Upper + Lower) / 2,"date,high,low
+2022-01-26,18.42,17.46
+2022-01-27,18.09,17.18
+2022-01-28,17.55,16.35
+2022-02-07,17.98,17.16
+2022-02-08,17.88,17.15
+2022-02-09,18.41,17.55
+2022-02-10,18.47,18.02
+2022-02-11,18.32,17.71
+2022-02-14,17.88,17.13
+2022-02-15,17.73,17.2
+2022-02-16,18.2,17.59
+2022-02-17,18.59,17.71
+2022-02-18,18.34,17.93
+2022-02-21,18.71,18.03
+2022-02-22,18.86,18.13
+2022-02-23,19.25,18.66
+2022-02-24,19.54,18.53
+2022-02-25,19.35,18.51
+2022-02-28,19.05,18.32
+2022-03-01,19.33,18.4
+",
+CN,technical,长江电力2022年11月14日的超级趋势中轨的值是？（标准版：周期10，乘数3；回看前5n个数据）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,20.35,easy,channel,"Mid_t = (H_t + L_t) / 2；BasicUpper_t = Mid_t + m * ATR_n^{Wilder}；BasicLower_t = Mid_t - m * ATR_n^{Wilder}；多头时 Lower_t = max(BasicLower_t, Lower_{t-1})，若 C_t < Lower_t 则翻空；空头时 Upper_t = min(BasicUpper_t, Upper_{t-1})，若 C_t > Upper_t 则翻多","date,high,low,close
+2022-08-25,23.65,23.21,23.59
+2022-08-26,23.58,23.27,23.39
+2022-08-29,23.45,23.15,23.3
+2022-08-30,23.37,23.12,23.28
+2022-08-31,23.98,23.28,23.98
+2022-09-01,24.08,23.62,23.91
+2022-09-02,24.17,23.73,23.82
+2022-09-05,23.9,23.51,23.82
+2022-09-06,23.98,23.73,23.75
+2022-09-07,23.64,23.42,23.57
+2022-09-08,23.85,23.53,23.65
+2022-09-09,24.06,23.66,23.91
+2022-09-13,23.91,23.66,23.79
+2022-09-14,23.93,23.64,23.7
+2022-09-15,23.98,23.61,23.72
+2022-09-16,23.84,23.46,23.46
+2022-09-19,23.63,23.41,23.48
+2022-09-20,23.54,23.4,23.42
+2022-09-21,23.58,23.32,23.43
+2022-09-22,23.5,23.26,23.42
+2022-09-23,23.51,23.29,23.33
+2022-09-26,23.42,23.05,23.05
+2022-09-27,23.06,22.53,22.7
+2022-09-28,22.69,22.38,22.46
+2022-09-29,22.68,22.19,22.4
+2022-09-30,22.85,22.28,22.74
+2022-10-10,23.44,22.9,23.36
+2022-10-11,23.47,23.22,23.42
+2022-10-12,23.49,23.0,23.21
+2022-10-13,23.24,22.56,23.04
+2022-10-14,23.2,22.85,22.96
+2022-10-17,23.04,22.76,22.76
+2022-10-18,22.91,22.51,22.55
+2022-10-19,22.65,22.34,22.37
+2022-10-20,22.49,22.24,22.34
+2022-10-21,22.6,22.21,22.41
+2022-10-24,22.59,21.71,21.83
+2022-10-25,22.3,21.91,22.01
+2022-10-27,22.19,20.88,20.99
+2022-10-28,21.25,20.59,20.68
+2022-10-31,20.7,20.01,20.26
+2022-11-01,20.41,19.96,20.32
+2022-11-02,20.52,20.05,20.46
+2022-11-03,20.37,19.89,19.98
+2022-11-04,20.27,19.75,20.14
+2022-11-07,20.23,19.97,20.14
+2022-11-08,20.34,19.95,20.05
+2022-11-09,20.2,20.05,20.12
+2022-11-10,20.15,19.89,20.0
+2022-11-11,20.55,20.03,20.45
+2022-11-14,20.6,20.1,20.17
+",
+CN,technical,2020年01月20日，北新建材的超级趋势上轨值是多少？（标准版：周期10，乘数3；回看前5n个数据）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,23.382,easy,channel,"Mid_t = (H_t + L_t) / 2；BasicUpper_t = Mid_t + m * ATR_n^{Wilder}；BasicLower_t = Mid_t - m * ATR_n^{Wilder}；多头时 Lower_t = max(BasicLower_t, Lower_{t-1})，若 C_t < Lower_t 则翻空；空头时 Upper_t = min(BasicUpper_t, Upper_{t-1})，若 C_t > Upper_t 则翻多","date,high,low,close
+2019-11-08,21.02,20.65,20.75
+2019-11-11,20.78,20.22,20.41
+2019-11-12,20.85,20.36,20.66
+2019-11-13,20.94,20.38,20.74
+2019-11-14,21.38,20.68,21.0
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+2019-11-29,22.91,22.29,22.32
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+2019-12-27,25.67,25.01,25.21
+2019-12-30,25.67,24.5,25.64
+2019-12-31,25.63,25.07,25.45
+2020-01-02,26.6,25.38,25.98
+2020-01-03,26.33,25.45,26.11
+2020-01-06,27.1,25.85,27.0
+2020-01-07,27.02,26.26,26.48
+2020-01-08,26.43,25.7,26.29
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+2020-01-14,27.08,25.82,25.9
+2020-01-15,26.39,25.6,26.1
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+2020-01-20,26.69,25.58,26.25
+",
+CN,technical,对于中国动力2022年03月04日的超级趋势，其下轨值是多少？（标准版：周期10，乘数3；回看前5n个数据）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,18.959,easy,channel,"Mid_t = (H_t + L_t) / 2；BasicUpper_t = Mid_t + m * ATR_n^{Wilder}；BasicLower_t = Mid_t - m * ATR_n^{Wilder}；多头时 Lower_t = max(BasicLower_t, Lower_{t-1})，若 C_t < Lower_t 则翻空；空头时 Upper_t = min(BasicUpper_t, Upper_{t-1})，若 C_t > Upper_t 则翻多","date,high,low,close
+2021-12-16,19.5,19.11,19.26
+2021-12-17,19.57,19.16,19.41
+2021-12-20,19.66,19.07,19.19
+2021-12-21,19.32,18.83,19.18
+2021-12-22,19.29,18.92,19.14
+2021-12-23,19.47,19.09,19.15
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+2021-12-31,20.09,19.65,19.7
+2022-01-04,19.97,19.57,19.93
+2022-01-05,19.94,19.46,19.51
+2022-01-06,19.45,19.04,19.31
+2022-01-07,19.6,19.16,19.37
+2022-01-10,19.4,19.19,19.39
+2022-01-11,19.48,19.11,19.25
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+2022-01-13,19.66,19.05,19.05
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+",
+CN,technical,关于超级趋势的下轨，2023年03月02日东方财富的值是？（标准版：周期10，乘数3；回看前5n个数据）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,21.1723,easy,channel,"Mid_t = (H_t + L_t) / 2；BasicUpper_t = Mid_t + m * ATR_n^{Wilder}；BasicLower_t = Mid_t - m * ATR_n^{Wilder}；多头时 Lower_t = max(BasicLower_t, Lower_{t-1})，若 C_t < Lower_t 则翻空；空头时 Upper_t = min(BasicUpper_t, Upper_{t-1})，若 C_t > Upper_t 则翻多","date,high,low,close
+2022-12-14,20.25,19.8,20.13
+2022-12-15,20.05,19.63,19.69
+2022-12-16,19.77,19.47,19.6
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+2022-12-21,19.09,18.72,18.85
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+",
+CN,technical,计算国轩高科2020年03月17日的超级趋势中轨值。（标准版：周期10，乘数3；回看前5n个数据）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,18.305,easy,channel,"Mid_t = (H_t + L_t) / 2；BasicUpper_t = Mid_t + m * ATR_n^{Wilder}；BasicLower_t = Mid_t - m * ATR_n^{Wilder}；多头时 Lower_t = max(BasicLower_t, Lower_{t-1})，若 C_t < Lower_t 则翻空；空头时 Upper_t = min(BasicUpper_t, Upper_{t-1})，若 C_t > Upper_t 则翻多","date,high,low,close
+2019-12-27,14.75,14.22,14.29
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+2019-12-31,14.84,14.39,14.55
+2020-01-02,14.87,14.37,14.79
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+",
+CN,technical,寒武纪2024年11月18日的20日周期简单移动平均收盘价是？（单位：元）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,438.815,easy,moving average,SMA_n = 1 / n * \sum_{i=0}^{n-1} P_{t-i},"date,close
+2024-10-22,421.0
+2024-10-23,419.0
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+2024-10-25,421.89
+2024-10-28,434.7
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+2024-10-31,453.6
+2024-11-01,411.01
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+2024-11-07,476.0
+2024-11-08,431.0
+2024-11-11,430.51
+2024-11-12,422.99
+2024-11-13,474.0
+2024-11-14,469.0
+2024-11-15,453.68
+2024-11-18,448.66
+",
+CN,technical,2023年04月19日，泸州老窖的10日简单移动平均收盘价为多少元？使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,238.216,easy,moving average,SMA_n = 1 / n * \sum_{i=0}^{n-1} P_{t-i},"date,close
+2023-04-06,250.04
+2023-04-07,249.0
+2023-04-10,247.5
+2023-04-11,238.99
+2023-04-12,233.19
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+2023-04-14,229.55
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+2023-04-18,234.08
+2023-04-19,232.09
+",
+CN,technical,对于60日周期简单移动平均收盘价，2023年03月07日同仁堂的值是多少？（单位：元）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,46.6922,easy,moving average,SMA_n = 1 / n * \sum_{i=0}^{n-1} P_{t-i},"date,close
+2022-12-06,48.12
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+2023-02-07,45.58
+2023-02-08,45.28
+2023-02-09,45.68
+2023-02-10,45.25
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+2023-02-14,46.4
+2023-02-15,46.9
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+2023-02-20,48.02
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+",
+CN,technical,对于特变电工的30日简单移动平均收盘价（单位：元），2022年02月14日的值是多少？使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,19.7327,easy,moving average,SMA_n = 1 / n * \sum_{i=0}^{n-1} P_{t-i},"date,close
+2021-12-27,20.37
+2021-12-28,20.67
+2021-12-29,20.71
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+2022-02-09,19.76
+2022-02-10,19.55
+2022-02-11,19.14
+2022-02-14,18.82
+",
+CN,technical,计算中国卫通2025年05月14日的60日周期简单移动平均收盘价。（单位：元）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,20.1588,easy,moving average,SMA_n = 1 / n * \sum_{i=0}^{n-1} P_{t-i},"date,close
+2025-02-14,21.27
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+2025-05-14,19.64
+",
+CN,technical,"江苏银行2021年10月19日的5日周期加权移动平均收盘价是？（单位：元）（权重取 1, 2, ..., n）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",6.0907,easy,moving average,WMA_n = \sum_{i=0}^{n-1} (n-i) * P_{t-i} / \sum_{j=1}^{n} j,"date,close
+2021-10-13,6.12
+2021-10-14,6.0
+2021-10-15,6.08
+2021-10-18,6.1
+2021-10-19,6.12
+",
+CN,technical,"2023年03月14日，新希望的10日加权移动平均收盘价为多少元？���权重取 1, 2, ..., n）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",13.0975,easy,moving average,WMA_n = \sum_{i=0}^{n-1} (n-i) * P_{t-i} / \sum_{j=1}^{n} j,"date,close
+2023-03-01,13.25
+2023-03-02,13.17
+2023-03-03,13.21
+2023-03-06,13.29
+2023-03-07,13.02
+2023-03-08,13.03
+2023-03-09,12.91
+2023-03-10,12.81
+2023-03-13,13.15
+2023-03-14,13.35
+",
+CN,technical,"对于10日周期加权移动平均收盘价，2024年08月27日中航成飞的值是多少？（单位：元）（权重取 1, 2, ..., n）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",41.6469,easy,moving average,WMA_n = \sum_{i=0}^{n-1} (n-i) * P_{t-i} / \sum_{j=1}^{n} j,"date,close
+2024-08-14,43.69
+2024-08-15,43.61
+2024-08-16,43.23
+2024-08-19,43.0
+2024-08-20,42.17
+2024-08-21,41.8
+2024-08-22,41.45
+2024-08-23,41.63
+2024-08-26,40.96
+2024-08-27,40.45
+",
+CN,technical,"对于华润三九的20日加权移动平均收盘价（单位：元），2020年01月15日的值是多少？（权重取 1, 2, ..., n）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",31.2537,easy,moving average,WMA_n = \sum_{i=0}^{n-1} (n-i) * P_{t-i} / \sum_{j=1}^{n} j,"date,close
+2019-12-18,30.31
+2019-12-19,30.74
+2019-12-20,30.74
+2019-12-23,30.07
+2019-12-24,30.29
+2019-12-25,30.22
+2019-12-26,30.26
+2019-12-27,29.88
+2019-12-30,30.53
+2019-12-31,31.68
+2020-01-02,31.47
+2020-01-03,31.34
+2020-01-06,31.32
+2020-01-07,31.41
+2020-01-08,30.94
+2020-01-09,31.75
+2020-01-10,31.71
+2020-01-13,31.92
+2020-01-14,31.49
+2020-01-15,31.53
+",
+CN,technical,"计算中国太保2020年09月18日的20日周期加权移动平均收盘价。（单位：元）（权重取 1, 2, ..., n）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",30.7364,easy,moving average,WMA_n = \sum_{i=0}^{n-1} (n-i) * P_{t-i} / \sum_{j=1}^{n} j,"date,close
+2020-08-24,31.4
+2020-08-25,31.25
+2020-08-26,30.61
+2020-08-27,30.85
+2020-08-28,31.53
+2020-08-31,30.82
+2020-09-01,30.86
+2020-09-02,30.66
+2020-09-03,30.5
+2020-09-04,30.18
+2020-09-07,30.1
+2020-09-08,31.02
+2020-09-09,30.33
+2020-09-10,30.61
+2020-09-11,30.72
+2020-09-14,30.46
+2020-09-15,30.42
+2020-09-16,30.5
+2020-09-17,30.32
+2020-09-18,32.44
+",
+CN,technical,宝钢股份2025年05月30日的20日周期指数移动平均收盘价是？（单位：元）（平滑系数 alpha 取 2 / (n + 1)；从前 4n 个数据开始计算；初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,6.834,easy,moving average,EMA_t = \alpha * P_t + (1 - \alpha) * EMA_{t-1}，\alpha = 2 / (n + 1),"date,close
+2025-01-24,6.82
+2025-01-27,7.01
+2025-02-05,6.72
+2025-02-06,6.7
+2025-02-07,6.95
+2025-02-10,6.9
+2025-02-11,6.89
+2025-02-12,6.85
+2025-02-13,6.85
+2025-02-14,6.8
+2025-02-17,6.76
+2025-02-18,6.74
+2025-02-19,6.65
+2025-02-20,6.65
+2025-02-21,6.71
+2025-02-24,6.72
+2025-02-25,6.63
+2025-02-26,6.94
+2025-02-27,7.08
+2025-02-28,7.08
+2025-03-03,7.27
+2025-03-04,7.26
+2025-03-05,7.35
+2025-03-06,7.37
+2025-03-07,7.5
+2025-03-10,7.38
+2025-03-11,7.51
+2025-03-12,7.48
+2025-03-13,7.55
+2025-03-14,7.45
+2025-03-17,7.49
+2025-03-18,7.4
+2025-03-19,7.3
+2025-03-20,7.38
+2025-03-21,7.51
+2025-03-24,7.53
+2025-03-25,7.53
+2025-03-26,7.44
+2025-03-27,7.42
+2025-03-28,7.33
+2025-03-31,7.2
+2025-04-01,7.32
+2025-04-02,7.23
+2025-04-03,7.26
+2025-04-07,6.69
+2025-04-08,6.79
+2025-04-09,6.83
+2025-04-10,6.77
+2025-04-11,6.78
+2025-04-14,6.81
+2025-04-15,6.74
+2025-04-16,6.78
+2025-04-17,6.68
+2025-04-18,6.78
+2025-04-21,6.71
+2025-04-22,6.62
+2025-04-23,6.53
+2025-04-24,6.52
+2025-04-25,6.64
+2025-04-28,6.92
+2025-04-29,6.93
+2025-04-30,6.84
+2025-05-06,6.89
+2025-05-07,6.95
+2025-05-08,6.88
+2025-05-09,6.93
+2025-05-12,6.91
+2025-05-13,6.98
+2025-05-14,7.01
+2025-05-15,6.97
+2025-05-16,6.96
+2025-05-19,6.97
+2025-05-20,6.94
+2025-05-21,6.95
+2025-05-22,6.86
+2025-05-23,6.86
+2025-05-26,6.8
+2025-05-27,6.72
+2025-05-28,6.67
+2025-05-29,6.69
+2025-05-30,6.74
+",
+CN,technical,2023年05月15日，正泰电器的20日指数移动平均收盘价为多少元？（平滑系数 alpha 取 2 / (n + 1)；从前 4n 个数据开始计算；初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,27.0848,easy,moving average,EMA_t = \alpha * P_t + (1 - \alpha) * EMA_{t-1}，\alpha = 2 / (n + 1),"date,close
+2023-01-10,31.32
+2023-01-11,31.08
+2023-01-12,31.57
+2023-01-13,31.38
+2023-01-16,33.18
+2023-01-17,33.48
+2023-01-18,33.0
+2023-01-19,33.12
+2023-01-20,33.11
+2023-01-30,32.59
+2023-01-31,32.15
+2023-02-01,32.31
+2023-02-02,31.82
+2023-02-03,31.41
+2023-02-06,31.17
+2023-02-07,31.29
+2023-02-08,30.94
+2023-02-09,31.45
+2023-02-10,31.34
+2023-02-13,31.35
+2023-02-14,31.88
+2023-02-15,31.55
+2023-02-16,30.61
+2023-02-17,30.37
+2023-02-20,30.57
+2023-02-21,30.74
+2023-02-22,30.43
+2023-02-23,30.63
+2023-02-24,30.27
+2023-02-27,29.68
+2023-02-28,30.0
+2023-03-01,30.27
+2023-03-02,29.71
+2023-03-03,29.77
+2023-03-06,30.05
+2023-03-07,29.31
+2023-03-08,29.23
+2023-03-09,29.06
+2023-03-10,28.59
+2023-03-13,28.38
+2023-03-14,27.85
+2023-03-15,27.88
+2023-03-16,27.12
+2023-03-17,26.99
+2023-03-20,27.17
+2023-03-21,27.44
+2023-03-22,27.39
+2023-03-23,27.17
+2023-03-24,27.72
+2023-03-27,27.57
+2023-03-28,27.14
+2023-03-29,27.05
+2023-03-30,27.2
+2023-03-31,27.97
+2023-04-03,27.97
+2023-04-04,27.51
+2023-04-06,27.35
+2023-04-07,27.5
+2023-04-10,27.54
+2023-04-11,27.31
+2023-04-12,27.0
+2023-04-13,26.91
+2023-04-14,26.92
+2023-04-17,27.07
+2023-04-18,27.23
+2023-04-19,26.87
+2023-04-20,26.09
+2023-04-21,26.08
+2023-04-24,25.55
+2023-04-25,24.93
+2023-04-26,26.09
+2023-04-27,26.0
+2023-04-28,26.05
+2023-05-04,27.73
+2023-05-05,27.59
+2023-05-08,27.84
+2023-05-09,27.09
+2023-05-10,27.34
+2023-05-11,27.34
+2023-05-12,27.23
+2023-05-15,27.65
+",
+CN,technical,对于30日周期指数移动平均收盘价，2020年12月08日天齐锂业的值是多少？（单位：元）（平滑系数 alpha 取 2 / (n + 1)；从前 4n 个数据开始计算；初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,24.9756,easy,moving average,EMA_t = \alpha * P_t + (1 - \alpha) * EMA_{t-1}，\alpha = 2 / (n + 1),"date,close
+2020-06-11,23.58
+2020-06-12,23.41
+2020-06-15,25.63
+2020-06-16,25.89
+2020-06-17,25.35
+2020-06-18,24.94
+2020-06-19,25.09
+2020-06-22,24.62
+2020-06-23,26.18
+2020-06-24,25.8
+2020-06-29,23.22
+2020-06-30,22.95
+2020-07-01,22.06
+2020-07-02,22.07
+2020-07-03,22.52
+2020-07-06,23.8
+2020-07-07,25.81
+2020-07-08,26.66
+2020-07-09,26.8
+2020-07-10,28.72
+2020-07-13,31.59
+2020-07-14,29.68
+2020-07-15,28.5
+2020-07-16,27.67
+2020-07-17,28.7
+2020-07-20,29.14
+2020-07-21,26.74
+2020-07-22,26.79
+2020-07-23,26.26
+2020-07-24,24.75
+2020-07-27,24.89
+2020-07-28,25.76
+2020-07-29,26.11
+2020-07-30,25.14
+2020-07-31,25.3
+2020-08-03,25.74
+2020-08-04,25.32
+2020-08-05,25.23
+2020-08-06,25.08
+2020-08-07,24.43
+2020-08-10,24.51
+2020-08-11,25.5
+2020-08-12,28.05
+2020-08-13,26.87
+2020-08-14,25.59
+2020-08-17,25.32
+2020-08-18,24.93
+2020-08-19,25.71
+2020-08-20,24.6
+2020-08-21,24.38
+2020-08-24,24.51
+2020-08-25,23.8
+2020-08-26,22.05
+2020-08-27,22.28
+2020-08-28,22.9
+2020-08-31,22.7
+2020-09-01,22.97
+2020-09-02,22.44
+2020-09-03,21.39
+2020-09-04,21.24
+2020-09-07,20.5
+2020-09-08,20.38
+2020-09-09,19.91
+2020-09-10,19.17
+2020-09-11,19.56
+2020-09-14,20.07
+2020-09-15,20.74
+2020-09-16,22.3
+2020-09-17,22.84
+2020-09-18,22.51
+2020-09-21,22.25
+2020-09-22,21.32
+2020-09-23,21.32
+2020-09-24,20.38
+2020-09-25,20.31
+2020-09-28,19.91
+2020-09-29,20.35
+2020-09-30,19.88
+2020-10-09,20.76
+2020-10-12,21.65
+2020-10-13,21.6
+2020-10-14,20.76
+2020-10-15,22.4
+2020-10-16,21.32
+2020-10-19,20.5
+2020-10-20,20.73
+2020-10-21,19.99
+2020-10-22,21.21
+2020-10-23,21.17
+2020-10-26,21.27
+2020-10-27,21.65
+2020-10-28,20.63
+2020-10-29,20.25
+2020-10-30,19.8
+2020-11-02,19.99
+2020-11-03,20.97
+2020-11-04,21.6
+2020-11-05,22.47
+2020-11-06,23.94
+2020-11-09,26.33
+2020-11-10,25.88
+2020-11-11,23.98
+2020-11-12,24.07
+2020-11-13,24.58
+2020-11-16,22.69
+2020-11-17,23.84
+2020-11-18,22.55
+2020-11-19,21.16
+2020-11-20,23.28
+2020-11-23,24.86
+2020-11-24,27.35
+2020-11-25,26.94
+2020-11-26,26.6
+2020-11-27,25.97
+2020-11-30,27.83
+2020-12-01,26.44
+2020-12-02,25.52
+2020-12-03,25.4
+2020-12-04,27.21
+2020-12-07,28.56
+2020-12-08,29.55
+",
+CN,technical,对于南山铝业的10日指数移动平均收盘价（单位：元），2024年04月17日的值是多少？（平滑系数 alpha 取 2 / (n + 1)；从前 4n 个数据开始计算；初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.5397,easy,moving average,EMA_t = \alpha * P_t + (1 - \alpha) * EMA_{t-1}，\alpha = 2 / (n + 1),"date,close
+2024-02-19,2.99
+2024-02-20,3.0
+2024-02-21,3.03
+2024-02-22,3.05
+2024-02-23,3.05
+2024-02-26,3.02
+2024-02-27,3.05
+2024-02-28,3.02
+2024-02-29,3.1
+2024-03-01,3.12
+2024-03-04,3.15
+2024-03-05,3.16
+2024-03-06,3.16
+2024-03-07,3.22
+2024-03-08,3.25
+2024-03-11,3.25
+2024-03-12,3.21
+2024-03-13,3.23
+2024-03-14,3.23
+2024-03-15,3.33
+2024-03-18,3.34
+2024-03-19,3.34
+2024-03-20,3.34
+2024-03-21,3.39
+2024-03-22,3.33
+2024-03-25,3.34
+2024-03-26,3.34
+2024-03-27,3.3
+2024-03-28,3.37
+2024-03-29,3.4
+2024-04-01,3.45
+2024-04-02,3.5
+2024-04-03,3.59
+2024-04-08,3.56
+2024-04-09,3.55
+2024-04-10,3.56
+2024-04-11,3.6
+2024-04-12,3.59
+2024-04-15,3.59
+2024-04-16,3.5
+2024-04-17,3.6
+",
+CN,technical,计算��业股份2022年11月07日的30日周期指数移动平均收盘价。（单位：元）（平滑系数 alpha 取 2 / (n + 1)；从前 4n 个数据开始计算；初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,382.9755,easy,moving average,EMA_t = \alpha * P_t + (1 - \alpha) * EMA_{t-1}，\alpha = 2 / (n + 1),"date,close
+2022-05-12,243.1
+2022-05-13,240.41
+2022-05-16,239.79
+2022-05-17,242.65
+2022-05-18,247.9
+2022-05-19,264.44
+2022-05-20,262.54
+2022-05-23,262.6
+2022-05-24,254.0
+2022-05-25,260.63
+2022-05-26,193.44
+2022-05-27,193.02
+2022-05-30,197.8
+2022-05-31,204.01
+2022-06-01,195.01
+2022-06-02,197.6
+2022-06-06,209.89
+2022-06-07,209.5
+2022-06-08,204.88
+2022-06-09,202.23
+2022-06-10,207.54
+2022-06-13,205.98
+2022-06-14,200.58
+2022-06-15,194.65
+2022-06-16,206.0
+2022-06-17,217.1
+2022-06-20,235.9
+2022-06-21,235.9
+2022-06-22,252.7
+2022-06-23,257.0
+2022-06-24,254.85
+2022-06-27,275.0
+2022-06-28,268.0
+2022-06-29,265.55
+2022-06-30,279.89
+2022-07-01,272.77
+2022-07-04,290.0
+2022-07-05,274.0
+2022-07-06,286.05
+2022-07-07,314.65
+2022-07-08,283.19
+2022-07-11,296.1
+2022-07-12,276.0
+2022-07-13,295.3
+2022-07-14,299.94
+2022-07-15,318.44
+2022-07-18,319.62
+2022-07-19,311.0
+2022-07-20,316.75
+2022-07-21,310.0
+2022-07-22,303.68
+2022-07-25,301.19
+2022-07-26,308.73
+2022-07-27,322.2
+2022-07-28,324.15
+2022-07-29,334.11
+2022-08-01,333.07
+2022-08-02,355.17
+2022-08-03,344.0
+2022-08-04,345.0
+2022-08-05,344.9
+2022-08-08,344.6
+2022-08-09,353.02
+2022-08-10,362.97
+2022-08-11,362.0
+2022-08-12,352.31
+2022-08-15,362.0
+2022-08-16,376.19
+2022-08-17,374.0
+2022-08-18,411.4
+2022-08-19,426.0
+2022-08-22,414.28
+2022-08-23,428.0
+2022-08-24,429.05
+2022-08-25,413.0
+2022-08-26,396.0
+2022-08-29,409.18
+2022-08-30,408.23
+2022-08-31,367.95
+2022-09-01,376.96
+2022-09-02,379.05
+2022-09-05,388.8
+2022-09-06,422.7
+2022-09-07,430.99
+2022-09-08,429.18
+2022-09-09,424.5
+2022-09-13,417.3
+2022-09-14,417.53
+2022-09-15,375.78
+2022-09-16,388.0
+2022-09-19,398.03
+2022-09-20,423.0
+2022-09-21,405.18
+2022-09-22,419.83
+2022-09-23,412.0
+2022-09-26,453.2
+2022-09-27,447.61
+2022-09-28,440.99
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+CN,technical,思源电气2020年07月21日的5日周期双指数移动平均收盘价是？（单位：元）（平滑系数 alpha 取 2 / (n + 1)；从前 5n 个数据开始计算；初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,24.3169,easy,moving average,DEMA = 2 * EMA1 - EMA2；EMA1 = EMA_n(P)；EMA2 = EMA_n(EMA1),"date,close
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+",
+CN,technical,2025年09月10日，首创证券的5日双指数移动平均收盘价为多少元？（平滑系数 alpha 取 2 / (n + 1)；从前 5n 个数据开始计算；初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,21.2618,easy,moving average,DEMA = 2 * EMA1 - EMA2；EMA1 = EMA_n(P)；EMA2 = EMA_n(EMA1),"date,close
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+",
+CN,technical,对于20日周期双指数移动平均收盘价，2020年07月31日华能水电的值是多少？（单位：元）（平滑系数 alpha 取 2 / (n + 1)；从前 5n 个数据开始计算；初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.8582,easy,moving average,DEMA = 2 * EMA1 - EMA2；EMA1 = EMA_n(P)；EMA2 = EMA_n(EMA1),"date,close
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+",
+CN,technical,对于中国通号的10日双指数移动平均收盘价（单位：元），2022年02月09日的值是多少？（平滑系数 alpha 取 2 / (n + 1)；从前 5n 个数据开始计算；初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,4.9129,easy,moving average,DEMA = 2 * EMA1 - EMA2；EMA1 = EMA_n(P)；EMA2 = EMA_n(EMA1),"date,close
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+",
+CN,technical,计算合盛硅业2021年11月18日的20日周期双指数移动平均收盘价。（单位：元）（平滑系数 alpha 取 2 / (n + 1)；从前 5n 个数据开始计算；初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,155.9753,easy,moving average,DEMA = 2 * EMA1 - EMA2；EMA1 = EMA_n(P)；EMA2 = EMA_n(EMA1),"date,close
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+CN,technical,招商银行2024年09月20日的20日周期三指数移动平均收盘价是？（单位：元）（平滑系数 alpha 取 2 / (n + 1)；从前 6n 个数据开始计算；初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,30.3855,easy,moving average,TEMA = 3 * EMA1 - 3 * EMA2 + EMA3；EMA1 = EMA_n(P)；EMA2 = EMA_n(EMA1)；EMA3 = EMA_n(EMA2),"date,close
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+",
+CN,technical,2025年05月27日，光大证券的20日三指数移动平均收盘价为多少元？（平滑系数 alpha 取 2 / (n + 1)；从前 6n 个数据开始计算；初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,16.3472,easy,moving average,TEMA = 3 * EMA1 - 3 * EMA2 + EMA3；EMA1 = EMA_n(P)；EMA2 = EMA_n(EMA1)；EMA3 = EMA_n(EMA2),"date,close
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+2025-03-20,17.61
+2025-03-21,17.31
+2025-03-24,17.24
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+2025-03-26,17.19
+2025-03-27,17.32
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+2025-04-01,17.15
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+2025-04-03,17.11
+2025-04-07,15.52
+2025-04-08,15.85
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+2025-04-10,16.48
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+2025-04-17,16.3
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+2025-04-21,16.34
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+2025-04-23,16.25
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+2025-05-06,16.38
+2025-05-07,16.4
+2025-05-08,16.49
+2025-05-09,16.27
+2025-05-12,16.59
+2025-05-13,16.46
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+2025-05-15,16.68
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+2025-05-19,16.53
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+2025-05-22,16.36
+2025-05-23,16.13
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+2025-05-27,16.2
+",
+CN,technical,对于30日周期三指数移动平均收盘价，2021年11月09日士兰微的值是多少？（单位：元）（平滑系数 alpha 取 2 / (n + 1)；从前 6n 个数据开始计算；初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,63.8172,easy,moving average,TEMA = 3 * EMA1 - 3 * EMA2 + EMA3；EMA1 = EMA_n(P)；EMA2 = EMA_n(EMA1)；EMA3 = EMA_n(EMA2),"date,close
+2021-02-04,23.91
+2021-02-05,23.4
+2021-02-08,24.01
+2021-02-09,24.3
+2021-02-10,24.6
+2021-02-18,26.78
+2021-02-19,28.5
+2021-02-22,27.83
+2021-02-23,28.23
+2021-02-24,28.06
+2021-02-25,27.34
+2021-02-26,27.0
+2021-03-01,29.7
+2021-03-02,30.1
+2021-03-03,29.63
+2021-03-04,27.5
+2021-03-05,27.32
+2021-03-08,26.02
+2021-03-09,24.75
+2021-03-10,24.7
+2021-03-11,26.56
+2021-03-12,26.32
+2021-03-15,23.69
+2021-03-16,23.5
+2021-03-17,23.6
+2021-03-18,23.64
+2021-03-19,24.13
+2021-03-22,23.89
+2021-03-23,24.08
+2021-03-24,23.33
+2021-03-25,23.3
+2021-03-26,23.86
+2021-03-29,23.99
+2021-03-30,23.94
+2021-03-31,24.23
+2021-04-01,26.65
+2021-04-02,29.32
+2021-04-06,30.2
+2021-04-07,29.57
+2021-04-08,29.59
+2021-04-09,28.74
+2021-04-12,27.06
+2021-04-13,27.1
+2021-04-14,27.25
+2021-04-15,28.24
+2021-04-16,27.09
+2021-04-19,27.87
+2021-04-20,26.9
+2021-04-21,26.99
+2021-04-22,29.69
+2021-04-23,28.84
+2021-04-26,30.95
+2021-04-27,30.36
+2021-04-28,30.92
+2021-04-29,34.01
+2021-04-30,36.01
+2021-05-06,36.7
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+2021-05-11,33.77
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+2021-05-14,36.71
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+2021-05-24,38.28
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+2021-07-20,57.56
+2021-07-21,60.68
+2021-07-22,64.03
+2021-07-23,63.59
+2021-07-26,68.2
+2021-07-27,66.2
+2021-07-28,64.3
+2021-07-29,69.72
+2021-07-30,69.69
+2021-08-02,68.3
+2021-08-03,62.32
+2021-08-04,65.54
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+2021-08-06,65.49
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+2021-08-24,61.11
+2021-08-25,59.74
+2021-08-26,59.52
+2021-08-27,59.58
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+2021-08-31,54.8
+2021-09-01,54.64
+2021-09-02,52.98
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+2021-09-06,56.16
+2021-09-07,56.25
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+2021-09-09,55.08
+2021-09-10,59.87
+2021-09-13,58.53
+2021-09-14,58.63
+2021-09-15,57.98
+2021-09-16,54.51
+2021-09-17,54.59
+2021-09-22,57.96
+2021-09-23,61.21
+2021-09-24,61.24
+2021-09-27,58.99
+2021-09-28,58.33
+2021-09-29,56.55
+2021-09-30,57.09
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+2021-10-19,62.92
+2021-10-20,62.33
+2021-10-21,59.45
+2021-10-22,60.8
+2021-10-25,62.5
+2021-10-26,62.05
+2021-10-27,60.77
+2021-10-28,59.96
+2021-10-29,61.67
+2021-11-01,58.58
+2021-11-02,63.0
+2021-11-03,61.0
+2021-11-04,65.58
+2021-11-05,64.9
+2021-11-08,65.23
+2021-11-09,64.97
+",
+CN,technical,对于招商轮船的10日三指数移动平均收盘价（单位：元），2022年07月28日的值是多少？（平滑系数 alpha 取 2 / (n + 1)；从前 6n 个数据开始计算；初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,7.1851,easy,moving average,TEMA = 3 * EMA1 - 3 * EMA2 + EMA3；EMA1 = EMA_n(P)；EMA2 = EMA_n(EMA1)；EMA3 = EMA_n(EMA2),"date,close
+2022-04-29,5.11
+2022-05-05,5.13
+2022-05-06,5.33
+2022-05-09,5.36
+2022-05-10,5.06
+2022-05-11,5.28
+2022-05-12,5.41
+2022-05-13,5.79
+2022-05-16,5.87
+2022-05-17,5.83
+2022-05-18,5.65
+2022-05-19,5.73
+2022-05-20,5.62
+2022-05-23,5.58
+2022-05-24,5.81
+2022-05-25,6.0
+2022-05-26,6.07
+2022-05-27,6.08
+2022-05-30,6.03
+2022-05-31,6.05
+2022-06-01,6.66
+2022-06-02,6.64
+2022-06-06,6.77
+2022-06-07,6.97
+2022-06-08,6.7
+2022-06-09,6.25
+2022-06-10,6.31
+2022-06-13,5.96
+2022-06-14,6.07
+2022-06-15,5.9
+2022-06-16,5.71
+2022-06-17,5.61
+2022-06-20,5.46
+2022-06-21,5.63
+2022-06-22,5.78
+2022-06-23,5.96
+2022-06-24,5.8
+2022-06-27,5.89
+2022-06-28,6.19
+2022-06-29,5.91
+2022-06-30,5.76
+2022-07-01,5.63
+2022-07-04,5.79
+2022-07-05,6.21
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+2022-07-08,5.66
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+2022-07-19,6.27
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+2022-07-21,6.59
+2022-07-22,6.76
+2022-07-25,6.88
+2022-07-26,7.11
+2022-07-27,7.0
+2022-07-28,7.01
+",
+CN,technical,计算中金公司2025年02月10日的10日周期三指数移动平均收盘价。（单位：元）（平滑系数 alpha 取 2 / (n + 1)；从前 6n 个数据开始计算；初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,32.3114,easy,moving average,TEMA = 3 * EMA1 - 3 * EMA2 + EMA3；EMA1 = EMA_n(P)；EMA2 = EMA_n(EMA1)；EMA3 = EMA_n(EMA2),"date,close
+2024-11-07,39.29
+2024-11-08,38.11
+2024-11-11,38.3
+2024-11-12,37.48
+2024-11-13,39.46
+2024-11-14,39.09
+2024-11-15,37.33
+2024-11-18,36.05
+2024-11-19,36.18
+2024-11-20,36.13
+2024-11-21,36.41
+2024-11-22,34.68
+2024-11-25,34.64
+2024-11-26,34.49
+2024-11-27,35.02
+2024-11-28,34.95
+2024-11-29,35.56
+2024-12-02,36.5
+2024-12-03,36.3
+2024-12-04,35.98
+2024-12-05,36.22
+2024-12-06,37.19
+2024-12-09,37.0
+2024-12-10,37.01
+2024-12-11,36.69
+2024-12-12,36.92
+2024-12-13,36.01
+2024-12-16,35.66
+2024-12-17,35.53
+2024-12-18,35.41
+2024-12-19,35.13
+2024-12-20,35.48
+2024-12-23,34.91
+2024-12-24,35.36
+2024-12-25,35.3
+2024-12-26,35.27
+2024-12-27,35.17
+2024-12-30,35.26
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+2025-01-02,32.47
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+2025-01-06,31.41
+2025-01-07,31.55
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+2025-01-09,31.04
+2025-01-10,30.64
+2025-01-13,30.65
+2025-01-14,31.8
+2025-01-15,31.39
+2025-01-16,31.35
+2025-01-17,31.47
+2025-01-20,31.66
+2025-01-21,31.72
+2025-01-22,31.5
+2025-01-23,31.6
+2025-01-24,31.81
+2025-01-27,31.18
+2025-02-05,31.43
+2025-02-06,31.83
+2025-02-07,32.36
+2025-02-10,32.42
+",
+CN,technical,华泰证券2025年07月29日的5日周期赫尔移动平均收盘价是？（单位：元）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,20.7236,easy,moving average,HMA = WMA_{\sqrt{n}}(2 * WMA_{n/2}(P) - WMA_n(P)),"date,close
+2025-07-18,18.49
+2025-07-21,19.07
+2025-07-22,19.01
+2025-07-23,19.51
+2025-07-24,20.15
+2025-07-25,19.89
+2025-07-28,20.48
+2025-07-29,20.59
+",
+CN,technical,2021年11月11日，红塔证券的20日赫尔移动平均收盘价为多少元？使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,11.1765,easy,moving average,HMA = WMA_{\sqrt{n}}(2 * WMA_{n/2}(P) - WMA_n(P)),"date,close
+2021-09-23,12.36
+2021-09-24,12.23
+2021-09-27,11.88
+2021-09-28,11.94
+2021-09-29,11.75
+2021-09-30,11.8
+2021-10-08,11.9
+2021-10-11,11.93
+2021-10-12,11.79
+2021-10-13,12.0
+2021-10-14,12.14
+2021-10-15,11.97
+2021-10-18,11.86
+2021-10-19,11.9
+2021-10-20,11.83
+2021-10-21,11.77
+2021-10-22,11.75
+2021-10-25,11.41
+2021-10-26,11.22
+2021-10-27,11.01
+2021-10-28,11.02
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+2021-11-01,11.26
+2021-11-02,11.08
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+2021-11-04,11.27
+2021-11-05,11.19
+2021-11-08,11.26
+2021-11-09,11.27
+2021-11-10,11.25
+2021-11-11,11.39
+",
+CN,technical,对于10日周期赫尔移动平均收盘价，2023年08月10日同花顺的值是多少？（单位：元）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,189.0465,easy,moving average,HMA = WMA_{\sqrt{n}}(2 * WMA_{n/2}(P) - WMA_n(P)),"date,close
+2023-07-20,158.61
+2023-07-21,157.29
+2023-07-24,157.49
+2023-07-25,178.16
+2023-07-26,171.4
+2023-07-27,164.53
+2023-07-28,192.1
+2023-07-31,189.0
+2023-08-01,183.64
+2023-08-02,184.9
+2023-08-03,193.9
+2023-08-04,195.5
+2023-08-07,193.38
+2023-08-08,186.11
+2023-08-09,184.21
+2023-08-10,190.07
+",
+CN,technical,对于招商证券的5日赫尔移动平均收盘价（单位：元），2021年02月19日的值是多少？使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,23.134,easy,moving average,HMA = WMA_{\sqrt{n}}(2 * WMA_{n/2}(P) - WMA_n(P)),"date,close
+2021-02-03,23.97
+2021-02-04,23.37
+2021-02-05,23.3
+2021-02-08,22.68
+2021-02-09,23.95
+2021-02-10,23.4
+2021-02-18,23.1
+2021-02-19,23.3
+",
+CN,technical,计算渝农商行2024年04月09日的30日周期赫尔移动平均收盘价。（单位：元）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,4.6773,easy,moving average,HMA = WMA_{\sqrt{n}}(2 * WMA_{n/2}(P) - WMA_n(P)),"date,close
+2024-01-25,4.23
+2024-01-26,4.3
+2024-01-29,4.36
+2024-01-30,4.31
+2024-01-31,4.33
+2024-02-01,4.29
+2024-02-02,4.3
+2024-02-05,4.25
+2024-02-06,4.35
+2024-02-07,4.34
+2024-02-08,4.37
+2024-02-19,4.38
+2024-02-20,4.44
+2024-02-21,4.44
+2024-02-22,4.47
+2024-02-23,4.53
+2024-02-26,4.41
+2024-02-27,4.43
+2024-02-28,4.4
+2024-02-29,4.48
+2024-03-01,4.48
+2024-03-04,4.48
+2024-03-05,4.58
+2024-03-06,4.56
+2024-03-07,4.55
+2024-03-08,4.62
+2024-03-11,4.67
+2024-03-12,4.47
+2024-03-13,4.41
+2024-03-14,4.44
+2024-03-15,4.5
+2024-03-18,4.45
+2024-03-19,4.44
+2024-03-20,4.45
+2024-03-21,4.48
+2024-03-22,4.49
+2024-03-25,4.58
+2024-03-26,4.68
+2024-03-27,4.75
+2024-03-28,4.65
+2024-03-29,4.66
+2024-04-01,4.63
+2024-04-02,4.65
+2024-04-03,4.68
+2024-04-08,4.72
+2024-04-09,4.66
+",
+CN,technical,成都银行2021年07月22日的Aroon上升的值是？（标准版：周期25）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,56.0,easy,trend,AroonUp = (n - i_{max}) / n * 100；i_{max} = argmax_{i=0}^{n} H_{t-i}，为 n+1 期内最高价距今天数,"date,high
+2021-06-17,13.4
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+2021-06-21,13.12
+2021-06-22,13.27
+2021-06-23,13.4
+2021-06-24,13.51
+2021-06-25,13.56
+2021-06-28,12.96
+2021-06-29,12.82
+2021-06-30,12.86
+2021-07-01,12.92
+2021-07-02,12.74
+2021-07-05,12.86
+2021-07-06,13.35
+2021-07-07,13.97
+2021-07-08,13.86
+2021-07-09,13.6
+2021-07-12,13.06
+2021-07-13,12.31
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+2021-07-15,12.02
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+2021-07-19,11.9
+2021-07-20,11.8
+2021-07-21,11.82
+2021-07-22,11.8
+",
+CN,technical,2024年03月26日，爱美客的Aroon上升是多少？（标准版：周期25）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,80.0,easy,trend,AroonUp = (n - i_{max}) / n * 100；i_{max} = argmax_{i=0}^{n} H_{t-i}，为 n+1 期内最高价距今天数,"date,high
+2024-02-20,325.88
+2024-02-21,332.4
+2024-02-22,324.8
+2024-02-23,336.13
+2024-02-26,329.5
+2024-02-27,319.89
+2024-02-28,333.5
+2024-02-29,327.0
+2024-03-01,325.8
+2024-03-04,326.88
+2024-03-05,322.57
+2024-03-06,326.38
+2024-03-07,328.63
+2024-03-08,325.97
+2024-03-11,338.0
+2024-03-12,355.0
+2024-03-13,351.97
+2024-03-14,352.47
+2024-03-15,345.16
+2024-03-18,347.83
+2024-03-19,358.0
+2024-03-20,354.0
+2024-03-21,344.88
+2024-03-22,339.29
+2024-03-25,339.87
+2024-03-26,337.51
+",
+CN,technical,澜起科技的Aroon上升在2022年05月19日为多少？（标准版：周期25）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,80.0,easy,trend,AroonUp = (n - i_{max}) / n * 100；i_{max} = argmax_{i=0}^{n} H_{t-i}，为 n+1 期内最高价距今天数,"date,high
+2022-04-11,60.74
+2022-04-12,59.54
+2022-04-13,59.11
+2022-04-14,57.5
+2022-04-15,61.08
+2022-04-18,63.33
+2022-04-19,63.3
+2022-04-20,61.27
+2022-04-21,61.16
+2022-04-22,59.79
+2022-04-25,58.5
+2022-04-26,55.6
+2022-04-27,57.33
+2022-04-28,58.1
+2022-04-29,58.49
+2022-05-05,62.26
+2022-05-06,60.9
+2022-05-09,62.1
+2022-05-10,62.22
+2022-05-11,64.8
+2022-05-12,66.42
+2022-05-13,66.2
+2022-05-16,66.23
+2022-05-17,65.45
+2022-05-18,64.29
+2022-05-19,65.6
+",
+CN,technical,对于Aroon上升，中科曙光2025年12月19日的值是多少？（标准版：周期25）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,36.0,easy,trend,AroonUp = (n - i_{max}) / n * 100；i_{max} = argmax_{i=0}^{n} H_{t-i}，为 n+1 期内最高价距今天数,"date,high
+2025-11-14,103.57
+2025-11-17,103.3
+2025-11-18,102.4
+2025-11-19,101.41
+2025-11-20,102.78
+2025-11-21,98.8
+2025-11-24,96.85
+2025-11-25,97.18
+2025-11-26,99.23
+2025-11-27,104.01
+2025-11-28,99.34
+2025-12-01,102.3
+2025-12-02,100.76
+2025-12-03,100.26
+2025-12-04,100.7
+2025-12-05,99.63
+2025-12-08,102.2
+2025-12-09,102.28
+2025-12-10,91.78
+2025-12-11,90.92
+2025-12-12,88.99
+2025-12-15,88.66
+2025-12-16,85.68
+2025-12-17,86.2
+2025-12-18,86.6
+2025-12-19,87.3
+",
+CN,technical,计算天坛生物2025年10月29日的Aroon上升的值。（标准版：周期25）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,8.0,easy,trend,AroonUp = (n - i_{max}) / n * 100；i_{max} = argmax_{i=0}^{n} H_{t-i}，为 n+1 期内最高价距今天数,"date,high
+2025-09-16,19.61
+2025-09-17,19.59
+2025-09-18,19.75
+2025-09-19,19.58
+2025-09-22,19.44
+2025-09-23,19.31
+2025-09-24,19.3
+2025-09-25,19.16
+2025-09-26,19.13
+2025-09-29,19.26
+2025-09-30,19.19
+2025-10-09,19.31
+2025-10-10,19.38
+2025-10-13,19.25
+2025-10-14,19.34
+2025-10-15,19.25
+2025-10-16,19.27
+2025-10-17,19.22
+2025-10-20,19.09
+2025-10-21,19.12
+2025-10-22,19.19
+2025-10-23,19.14
+2025-10-24,19.19
+2025-10-27,18.81
+2025-10-28,18.72
+2025-10-29,18.59
+",
+CN,technical,中国中免2023年04月12日的Aroon下降的值是？（标准版：周期25）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,84.0,easy,trend,AroonDown = (n - i_{min}) / n * 100；i_{min} = argmin_{i=0}^{n} L_{t-i}，为 n+1 期内最低价距今天数,"date,high,low
+2023-03-07,192.7,188.57
+2023-03-08,188.45,186.68
+2023-03-09,188.33,183.48
+2023-03-10,183.89,181.66
+2023-03-13,188.39,181.5
+2023-03-14,186.91,183.72
+2023-03-15,190.2,182.55
+2023-03-16,185.99,180.0
+2023-03-17,188.8,184.5
+2023-03-20,185.8,180.5
+2023-03-21,188.23,183.11
+2023-03-22,189.74,184.04
+2023-03-23,185.1,182.0
+2023-03-24,187.5,183.61
+2023-03-27,186.33,183.8
+2023-03-28,185.87,181.67
+2023-03-29,185.49,181.89
+2023-03-30,187.57,182.57
+2023-03-31,187.99,182.78
+2023-04-03,187.0,181.01
+2023-04-04,184.3,175.9
+2023-04-06,180.48,173.64
+2023-04-07,183.43,176.87
+2023-04-10,181.8,178.69
+2023-04-11,182.82,178.21
+2023-04-12,180.0,175.79
+",
+CN,technical,2024年10月09日，复星医药的Aroon下降是多少？（标准版：周期25）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,8.0,easy,trend,AroonDown = (n - i_{min}) / n * 100；i_{min} = argmin_{i=0}^{n} L_{t-i}，为 n+1 期内最低价距今天数,"date,high,low
+2024-08-26,22.55,22.16
+2024-08-27,22.55,22.22
+2024-08-28,22.47,21.78
+2024-08-29,22.79,22.3
+2024-08-30,22.85,22.45
+2024-09-02,22.54,22.18
+2024-09-03,22.79,22.27
+2024-09-04,22.88,22.51
+2024-09-05,22.87,22.57
+2024-09-06,22.84,22.51
+2024-09-09,22.79,22.28
+2024-09-10,22.68,22.0
+2024-09-11,22.54,22.11
+2024-09-12,22.73,22.35
+2024-09-13,22.48,22.18
+2024-09-18,22.29,21.89
+2024-09-19,22.84,22.33
+2024-09-20,22.49,22.11
+2024-09-23,22.54,22.23
+2024-09-24,22.88,22.36
+2024-09-25,23.54,23.0
+2024-09-26,23.98,23.03
+2024-09-27,25.15,24.2
+2024-09-30,27.67,25.8
+2024-10-08,30.44,28.1
+2024-10-09,28.85,26.7
+",
+CN,technical,山西焦煤的Aroon下降在2025年04月30日为多少？（标准版：周期25）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,32.0,easy,trend,AroonDown = (n - i_{min}) / n * 100；i_{min} = argmin_{i=0}^{n} L_{t-i}，为 n+1 期内最低价距今天数,"date,high,low
+2025-03-25,7.18,6.99
+2025-03-26,7.24,7.1
+2025-03-27,7.19,7.08
+2025-03-28,7.13,7.01
+2025-03-31,7.03,6.86
+2025-04-01,7.09,6.87
+2025-04-02,7.08,7.02
+2025-04-03,7.04,6.97
+2025-04-07,6.81,6.35
+2025-04-08,6.72,6.44
+2025-04-09,6.66,6.5
+2025-04-10,6.73,6.63
+2025-04-11,6.67,6.6
+2025-04-14,6.88,6.64
+2025-04-15,6.85,6.74
+2025-04-16,6.88,6.71
+2025-04-17,6.8,6.74
+2025-04-18,6.77,6.69
+2025-04-21,6.74,6.65
+2025-04-22,6.7,6.65
+2025-04-23,6.7,6.62
+2025-04-24,6.7,6.62
+2025-04-25,6.65,6.56
+2025-04-28,6.61,6.5
+2025-04-29,6.49,6.42
+2025-04-30,6.45,6.4
+",
+CN,technical,对于Aroon下降，中航沈飞2025年06月27日的值是多少？（标准版：周期25）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,20.0,easy,trend,AroonDown = (n - i_{min}) / n * 100；i_{min} = argmin_{i=0}^{n} L_{t-i}，为 n+1 期内最低价距今天数,"date,high,low
+2025-05-22,49.86,47.74
+2025-05-23,48.85,47.8
+2025-05-26,48.94,47.55
+2025-05-27,48.59,47.11
+2025-05-28,48.18,47.17
+2025-05-29,47.83,46.93
+2025-05-30,48.66,46.95
+2025-06-03,50.0,48.25
+2025-06-04,49.43,48.8
+2025-06-05,49.93,48.7
+2025-06-06,51.5,49.97
+2025-06-09,55.0,52.57
+2025-06-10,53.81,52.37
+2025-06-11,53.77,52.45
+2025-06-12,54.45,52.96
+2025-06-13,55.35,53.18
+2025-06-16,55.15,53.25
+2025-06-17,56.55,53.75
+2025-06-18,56.87,54.71
+2025-06-19,54.65,52.57
+2025-06-20,53.8,52.77
+2025-06-23,53.77,52.68
+2025-06-24,54.0,51.84
+2025-06-25,54.45,52.92
+2025-06-26,55.28,53.74
+2025-06-27,56.0,54.38
+",
+CN,technical,计算东鹏饮料2022年12月14日的Aroon下降的值。（标准版：周期25）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,4.0,easy,trend,AroonDown = (n - i_{min}) / n * 100；i_{min} = argmin_{i=0}^{n} L_{t-i}，为 n+1 期内最低价距今天数,"date,high,low
+2022-11-09,165.98,162.2
+2022-11-10,162.6,158.67
+2022-11-11,172.0,161.51
+2022-11-14,175.55,167.5
+2022-11-15,173.74,168.75
+2022-11-16,179.58,170.0
+2022-11-17,181.0,175.31
+2022-11-18,180.48,174.12
+2022-11-21,179.44,172.97
+2022-11-22,175.5,171.8
+2022-11-23,180.2,173.0
+2022-11-24,176.0,171.27
+2022-11-25,174.75,170.1
+2022-11-28,174.41,167.08
+2022-11-29,175.0,170.0
+2022-11-30,172.45,169.06
+2022-12-01,178.9,173.5
+2022-12-02,177.99,170.3
+2022-12-05,182.46,171.2
+2022-12-06,188.0,177.0
+2022-12-07,188.0,180.61
+2022-12-08,182.7,174.21
+2022-12-09,179.37,172.52
+2022-12-12,178.54,174.66
+2022-12-13,179.5,174.6
+2022-12-14,184.16,177.01
+",
+CN,technical,中国中冶2024年06月05日的Aroon振荡的值是？（标准版：周期25）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-36.0,easy,trend,AroonOsc = AroonUp - AroonDown；AroonUp = (n - i_{max}) / n * 100；i_{max} = argmax_{i=0}^{n} H_{t-i}，为 n+1 期内最高价距今天数；AroonDown = (n - i_{min}) / n * 100；i_{min} = argmin_{i=0}^{n} L_{t-i}，为 n+1 期内最低价距今天数,"date,high,low
+2024-04-26,3.34,3.28
+2024-04-29,3.35,3.3
+2024-04-30,3.32,3.25
+2024-05-06,3.33,3.28
+2024-05-07,3.32,3.28
+2024-05-08,3.29,3.25
+2024-05-09,3.3,3.25
+2024-05-10,3.33,3.28
+2024-05-13,3.39,3.28
+2024-05-14,3.38,3.33
+2024-05-15,3.38,3.34
+2024-05-16,3.38,3.34
+2024-05-17,3.41,3.33
+2024-05-20,3.46,3.42
+2024-05-21,3.47,3.39
+2024-05-22,3.45,3.38
+2024-05-23,3.4,3.31
+2024-05-24,3.34,3.28
+2024-05-27,3.33,3.28
+2024-05-28,3.37,3.3
+2024-05-29,3.35,3.29
+2024-05-30,3.32,3.26
+2024-05-31,3.29,3.26
+2024-06-03,3.28,3.23
+2024-06-04,3.3,3.24
+2024-06-05,3.29,3.24
+",
+CN,technical,2022年11月21日，中国中免的Aroon振荡是多少？（标准版：周期25）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,32.0,easy,trend,AroonOsc = AroonUp - AroonDown；AroonUp = (n - i_{max}) / n * 100；i_{max} = argmax_{i=0}^{n} H_{t-i}，为 n+1 期内最高价距今天数；AroonDown = (n - i_{min}) / n * 100；i_{min} = argmin_{i=0}^{n} L_{t-i}，为 n+1 期内最低价距今天数,"date,high,low
+2022-10-17,188.2,183.58
+2022-10-18,192.5,187.34
+2022-10-19,188.88,179.6
+2022-10-20,183.1,174.15
+2022-10-21,179.1,174.55
+2022-10-24,174.3,165.03
+2022-10-25,173.8,166.23
+2022-10-26,175.49,171.3
+2022-10-27,178.0,168.48
+2022-10-28,172.86,167.05
+2022-10-31,166.5,159.6
+2022-11-01,176.4,156.51
+2022-11-02,190.6,174.03
+2022-11-03,184.77,177.15
+2022-11-04,199.0,182.42
+2022-11-07,196.9,189.57
+2022-11-08,193.87,189.23
+2022-11-09,193.18,187.93
+2022-11-10,191.0,184.1
+2022-11-11,201.51,190.18
+2022-11-14,199.77,186.13
+2022-11-15,194.5,188.37
+2022-11-16,200.87,191.68
+2022-11-17,195.14,189.0
+2022-11-18,194.06,190.51
+2022-11-21,186.5,180.0
+",
+CN,technical,迈瑞医疗的Aroon振荡在2023年11月23日为多少？（标准版：周期25）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,60.0,easy,trend,AroonOsc = AroonUp - AroonDown；AroonUp = (n - i_{max}) / n * 100；i_{max} = argmax_{i=0}^{n} H_{t-i}，为 n+1 期内最高价距今天数；AroonDown = (n - i_{min}) / n * 100；i_{min} = argmin_{i=0}^{n} L_{t-i}，为 n+1 期内最低价距今天数,"date,high,low
+2023-10-19,264.0,259.6
+2023-10-20,261.34,256.41
+2023-10-23,261.03,255.52
+2023-10-24,261.88,257.68
+2023-10-25,262.68,256.3
+2023-10-26,261.7,253.48
+2023-10-27,265.9,255.57
+2023-10-30,284.25,268.0
+2023-10-31,287.33,281.31
+2023-11-01,285.5,281.1
+2023-11-02,284.5,281.83
+2023-11-03,285.35,281.68
+2023-11-06,285.85,282.02
+2023-11-07,285.25,282.0
+2023-11-08,288.36,282.0
+2023-11-09,285.69,282.25
+2023-11-10,287.0,282.5
+2023-11-13,286.9,280.8
+2023-11-14,289.98,283.1
+2023-11-15,291.64,285.0
+2023-11-16,291.73,287.2
+2023-11-17,288.9,284.5
+2023-11-20,287.83,284.22
+2023-11-21,290.45,284.22
+2023-11-22,285.49,281.25
+2023-11-23,284.8,278.0
+",
+CN,technical,对于Aroon振荡，东方证券2021年08月05日的值是多少？（标准版：周期25）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,68.0,easy,trend,AroonOsc = AroonUp - AroonDown；AroonUp = (n - i_{max}) / n * 100；i_{max} = argmax_{i=0}^{n} H_{t-i}，为 n+1 期内最高价距今天数；AroonDown = (n - i_{min}) / n * 100；i_{min} = argmin_{i=0}^{n} L_{t-i}，为 n+1 期内最低价距今天数,"date,high,low
+2021-07-01,10.24,9.68
+2021-07-02,10.06,9.59
+2021-07-05,10.08,9.52
+2021-07-06,9.97,9.73
+2021-07-07,9.92,9.77
+2021-07-08,9.74,9.41
+2021-07-09,9.63,9.34
+2021-07-12,10.53,9.76
+2021-07-13,11.18,10.41
+2021-07-14,11.39,10.25
+2021-07-15,10.43,10.03
+2021-07-16,11.18,10.35
+2021-07-19,11.3,10.46
+2021-07-20,11.72,10.89
+2021-07-21,11.42,10.85
+2021-07-22,11.87,10.81
+2021-07-23,12.71,11.4
+2021-07-26,12.97,11.9
+2021-07-27,12.22,11.26
+2021-07-28,11.63,10.92
+2021-07-29,11.54,11.11
+2021-07-30,11.2,10.77
+2021-08-02,12.01,10.68
+2021-08-03,13.21,11.9
+2021-08-04,13.07,12.27
+2021-08-05,12.81,12.14
+",
+CN,technical,计算国泰海通2025年09月23日的Aroon振荡的值。（标准版：周期25）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-84.0,easy,trend,AroonOsc = AroonUp - AroonDown；AroonUp = (n - i_{max}) / n * 100；i_{max} = argmax_{i=0}^{n} H_{t-i}，为 n+1 期内最高价距今天数；AroonDown = (n - i_{min}) / n * 100；i_{min} = argmin_{i=0}^{n} L_{t-i}，为 n+1 期内最低价距今天数,"date,high,low
+2025-08-19,20.86,20.39
+2025-08-20,20.71,20.21
+2025-08-21,21.1,20.76
+2025-08-22,21.58,20.75
+2025-08-25,21.87,21.36
+2025-08-26,21.69,21.38
+2025-08-27,21.53,20.78
+2025-08-28,21.08,20.64
+2025-08-29,21.38,20.88
+2025-09-01,21.19,20.62
+2025-09-02,20.74,20.2
+2025-09-03,20.49,19.65
+2025-09-04,19.85,19.42
+2025-09-05,19.84,19.5
+2025-09-08,19.81,19.41
+2025-09-09,19.78,19.47
+2025-09-10,19.73,19.47
+2025-09-11,19.96,19.36
+2025-09-12,19.98,19.53
+2025-09-15,19.8,19.33
+2025-09-16,19.57,19.12
+2025-09-17,19.32,18.97
+2025-09-18,19.07,18.5
+2025-09-19,18.71,18.51
+2025-09-22,18.9,18.57
+2025-09-23,18.75,18.41
+",
+CN,technical,三峡能源2023年04月07日的相对强弱指标的值是？（标准版：周期14；Gain/Loss计算用SMA）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,48.5714,easy,momentum,"U_t = max(P_t - P_{t-1}, 0)；D_t = max(P_{t-1} - P_t, 0)；RS = SMA_n(U) / SMA_n(D)；RSI = 100 - 100 / (1 + RS)","date,close
+2023-03-17,5.49
+2023-03-20,5.46
+2023-03-21,5.48
+2023-03-22,5.49
+2023-03-23,5.55
+2023-03-24,5.53
+2023-03-27,5.48
+2023-03-28,5.47
+2023-03-29,5.47
+2023-03-30,5.44
+2023-03-31,5.48
+2023-04-03,5.51
+2023-04-04,5.51
+2023-04-06,5.47
+2023-04-07,5.48
+",
+CN,technical,2024年01月08日，信达证券的相对强弱指标是多少？（标准版：周期14；Gain/Loss计算用SMA）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,15.7813,easy,momentum,"U_t = max(P_t - P_{t-1}, 0)；D_t = max(P_{t-1} - P_t, 0)；RS = SMA_n(U) / SMA_n(D)；RSI = 100 - 100 / (1 + RS)","date,close
+2023-12-18,21.2
+2023-12-19,19.34
+2023-12-20,18.61
+2023-12-21,18.12
+2023-12-22,17.9
+2023-12-25,17.25
+2023-12-26,17.48
+2023-12-27,17.94
+2023-12-28,18.26
+2023-12-29,17.99
+2024-01-02,17.63
+2024-01-03,17.59
+2024-01-04,17.39
+2024-01-05,17.01
+2024-01-08,16.82
+",
+CN,technical,中泰证券的相对强弱指标在2022年09月16日为多少？（标准版：周期14；Gain/Loss计算用SMA）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,36.036,easy,momentum,"U_t = max(P_t - P_{t-1}, 0)；D_t = max(P_{t-1} - P_t, 0)；RS = SMA_n(U) / SMA_n(D)；RSI = 100 - 100 / (1 + RS)","date,close
+2022-08-26,7.24
+2022-08-29,7.27
+2022-08-30,7.33
+2022-08-31,7.41
+2022-09-01,7.33
+2022-09-02,7.28
+2022-09-05,7.33
+2022-09-06,7.38
+2022-09-07,7.39
+2022-09-08,7.33
+2022-09-09,7.45
+2022-09-13,7.44
+2022-09-14,7.36
+2022-09-15,7.31
+2022-09-16,6.93
+",
+CN,technical,对于相对强弱指标，长安汽车2020年03月05日的值是多少？（标准版：周期14；Gain/Loss计算用SMA）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,67.7419,easy,momentum,"U_t = max(P_t - P_{t-1}, 0)；D_t = max(P_{t-1} - P_t, 0)；RS = SMA_n(U) / SMA_n(D)；RSI = 100 - 100 / (1 + RS)","date,close
+2020-02-14,9.59
+2020-02-17,10.55
+2020-02-18,10.74
+2020-02-19,10.65
+2020-02-20,10.86
+2020-02-21,11.32
+2020-02-24,11.4
+2020-02-25,11.6
+2020-02-26,10.9
+2020-02-27,10.78
+2020-02-28,10.17
+2020-03-02,10.79
+2020-03-03,10.61
+2020-03-04,11.18
+2020-03-05,11.46
+",
+CN,technical,计算同仁堂2022年07月06日的相对强弱指标的值。（标准版：周期14；Gain/Loss计算用SMA）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,45.3835,easy,momentum,"U_t = max(P_t - P_{t-1}, 0)；D_t = max(P_{t-1} - P_t, 0)；RS = SMA_n(U) / SMA_n(D)；RSI = 100 - 100 / (1 + RS)","date,close
+2022-06-16,51.3
+2022-06-17,52.12
+2022-06-20,52.51
+2022-06-21,51.0
+2022-06-22,51.17
+2022-06-23,52.65
+2022-06-24,52.75
+2022-06-27,52.79
+2022-06-28,54.06
+2022-06-29,52.9
+2022-06-30,52.88
+2022-07-01,49.01
+2022-07-04,51.13
+2022-07-05,51.03
+2022-07-06,50.0
+",
+CN,technical,中信银行2021年08月05日的商品通道指数的值是？（标准版：周期20）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-122.3005,easy,momentum,TP_t = (H_t + L_t + C_t) / 3；MD_t = 1 / n * \sum_{i=0}^{n-1} |TP_{t-i} - SMA_n(TP)|；CCI = (TP_t - SMA_n(TP)) / (0.015 * MD_t),"date,high,low,close
+2021-07-09,5.1,5.05,5.05
+2021-07-12,5.09,5.03,5.04
+2021-07-13,5.08,5.03,5.06
+2021-07-14,5.07,5.01,5.02
+2021-07-15,5.06,5.01,5.05
+2021-07-16,5.05,5.02,5.03
+2021-07-19,5.04,5.0,5.03
+2021-07-20,5.04,5.0,5.03
+2021-07-21,5.04,5.01,5.03
+2021-07-22,5.08,5.02,5.06
+2021-07-23,5.07,5.02,5.05
+2021-07-26,5.06,5.0,5.02
+2021-07-27,5.03,4.94,4.94
+2021-07-28,4.99,4.93,4.96
+2021-07-29,4.71,4.53,4.59
+2021-07-30,4.59,4.52,4.54
+2021-08-02,4.61,4.49,4.58
+2021-08-03,4.59,4.54,4.56
+2021-08-04,4.56,4.52,4.52
+2021-08-05,4.54,4.5,4.53
+",
+CN,technical,2021年01月04日，宝丰能源的商品通道指数是多少？（标准版：周期20）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,45.0802,easy,momentum,TP_t = (H_t + L_t + C_t) / 3；MD_t = 1 / n * \sum_{i=0}^{n-1} |TP_{t-i} - SMA_n(TP)|；CCI = (TP_t - SMA_n(TP)) / (0.015 * MD_t),"date,high,low,close
+2020-12-07,13.04,12.27,12.31
+2020-12-08,12.54,12.16,12.32
+2020-12-09,12.39,11.86,11.96
+2020-12-10,12.04,11.67,11.75
+2020-12-11,12.18,11.72,11.89
+2020-12-14,11.9,11.56,11.72
+2020-12-15,11.81,11.5,11.69
+2020-12-16,11.9,11.55,11.72
+2020-12-17,11.91,11.54,11.85
+2020-12-18,12.18,11.75,11.89
+2020-12-21,12.01,11.47,11.59
+2020-12-22,11.71,11.24,11.29
+2020-12-23,11.67,11.23,11.57
+2020-12-24,11.68,11.41,11.52
+2020-12-25,11.78,11.24,11.58
+2020-12-28,11.95,11.51,11.87
+2020-12-29,11.94,11.42,11.55
+2020-12-30,11.8,11.42,11.58
+2020-12-31,11.74,11.46,11.7
+2021-01-04,12.13,11.61,12.04
+",
+CN,technical,东方证券的商品通道指数在2022年01月26日为多少？（标准版：周期20）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-96.0674,easy,momentum,TP_t = (H_t + L_t + C_t) / 3；MD_t = 1 / n * \sum_{i=0}^{n-1} |TP_{t-i} - SMA_n(TP)|；CCI = (TP_t - SMA_n(TP)) / (0.015 * MD_t),"date,high,low,close
+2021-12-29,14.68,14.38,14.4
+2021-12-30,14.8,14.3,14.67
+2021-12-31,14.96,14.6,14.74
+2022-01-04,15.0,14.59,14.9
+2022-01-05,15.14,14.81,14.86
+2022-01-06,14.8,13.63,13.7
+2022-01-07,13.84,13.38,13.68
+2022-01-10,13.65,13.21,13.4
+2022-01-11,13.6,13.3,13.43
+2022-01-12,13.66,13.35,13.63
+2022-01-13,13.75,13.32,13.36
+2022-01-14,13.48,13.07,13.13
+2022-01-17,13.28,12.96,13.14
+2022-01-18,13.5,13.07,13.31
+2022-01-19,13.68,13.3,13.42
+2022-01-20,14.04,13.23,13.83
+2022-01-21,13.74,13.47,13.52
+2022-01-24,13.6,13.31,13.35
+2022-01-25,13.59,12.99,13.01
+2022-01-26,13.25,12.7,13.13
+",
+CN,technical,对于商品通道指数，格力电器2020年05月26日的值是多少？（标准版：周期20）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-1.1952,easy,momentum,TP_t = (H_t + L_t + C_t) / 3；MD_t = 1 / n * \sum_{i=0}^{n-1} |TP_{t-i} - SMA_n(TP)|；CCI = (TP_t - SMA_n(TP)) / (0.015 * MD_t),"date,high,low,close
+2020-04-24,55.1,53.95,54.15
+2020-04-27,54.68,53.62,54.08
+2020-04-28,55.1,53.56,54.99
+2020-04-29,55.88,54.64,55.22
+2020-04-30,55.66,54.0,54.77
+2020-05-06,54.46,53.82,54.46
+2020-05-07,54.97,54.02,54.1
+2020-05-08,57.58,53.99,56.99
+2020-05-11,59.23,57.8,58.21
+2020-05-12,59.28,58.05,59.0
+2020-05-13,58.99,57.78,58.39
+2020-05-14,59.36,58.36,58.57
+2020-05-15,59.02,57.7,57.93
+2020-05-18,58.44,57.0,57.99
+2020-05-19,59.0,57.91,58.02
+2020-05-20,58.0,57.04,57.38
+2020-05-21,57.7,56.76,57.01
+2020-05-22,57.03,55.61,55.62
+2020-05-25,55.95,54.39,54.9
+2020-05-26,56.9,55.46,56.88
+",
+CN,technical,计算华域汽车2022年07月01日的商品通道指数的值。（标准版：周期20）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-65.5281,easy,momentum,TP_t = (H_t + L_t + C_t) / 3；MD_t = 1 / n * \sum_{i=0}^{n-1} |TP_{t-i} - SMA_n(TP)|；CCI = (TP_t - SMA_n(TP)) / (0.015 * MD_t),"date,high,low,close
+2022-06-06,23.6,22.92,23.15
+2022-06-07,23.27,22.18,22.65
+2022-06-08,23.03,22.09,22.55
+2022-06-09,22.61,21.81,21.96
+2022-06-10,22.8,21.85,22.6
+2022-06-13,23.24,22.0,22.64
+2022-06-14,23.98,22.28,23.93
+2022-06-15,25.05,23.62,23.67
+2022-06-16,23.89,22.61,22.77
+2022-06-17,23.43,22.38,23.13
+2022-06-20,23.68,23.13,23.36
+2022-06-21,23.49,23.03,23.23
+2022-06-22,23.84,23.09,23.21
+2022-06-23,25.06,23.25,24.89
+2022-06-24,25.49,24.4,25.4
+2022-06-27,25.77,24.92,25.11
+2022-06-28,25.24,24.23,25.06
+2022-06-29,25.15,23.58,23.62
+2022-06-30,24.06,22.71,23.0
+2022-07-01,23.09,22.5,22.65
+",
+CN,technical,京东方A2025年01月23日的威廉%R的值是？（标准周期14）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-17.9487,easy,momentum,%R = (max_{i=0}^{n-1} H_{t-i} - C_t) / (max_{i=0}^{n-1} H_{t-i} - min_{i=0}^{n-1} L_{t-i}) * (-100),"date,high,low,close
+2025-01-06,4.22,4.13,4.18
+2025-01-07,4.48,4.18,4.43
+2025-01-08,4.39,4.24,4.32
+2025-01-09,4.35,4.28,4.31
+2025-01-10,4.32,4.2,4.2
+2025-01-13,4.19,4.14,4.16
+2025-01-14,4.32,4.16,4.32
+2025-01-15,4.3,4.23,4.26
+2025-01-16,4.34,4.26,4.31
+2025-01-17,4.36,4.28,4.34
+2025-01-20,4.43,4.37,4.39
+2025-01-21,4.52,4.41,4.5
+2025-01-22,4.52,4.45,4.49
+2025-01-23,4.52,4.43,4.45
+",
+CN,technical,2023年08月14日，士兰微的威廉%R是多少？（标准周期14）使用不复权价格，写出指��公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-93.8776,easy,momentum,%R = (max_{i=0}^{n-1} H_{t-i} - C_t) / (max_{i=0}^{n-1} H_{t-i} - min_{i=0}^{n-1} L_{t-i}) * (-100),"date,high,low,close
+2023-07-26,30.38,30.0,30.14
+2023-07-27,30.3,29.82,29.9
+2023-07-28,30.36,29.63,30.27
+2023-07-31,30.95,30.17,30.63
+2023-08-01,30.93,30.4,30.61
+2023-08-02,30.69,30.26,30.35
+2023-08-03,30.56,30.07,30.45
+2023-08-04,30.75,29.91,30.1
+2023-08-07,30.08,29.67,29.72
+2023-08-08,29.9,29.55,29.65
+2023-08-09,29.81,29.48,29.67
+2023-08-10,29.92,29.64,29.74
+2023-08-11,29.78,29.3,29.31
+2023-08-14,29.31,28.01,28.19
+",
+CN,technical,中微公司的威廉%R在2020年08月10日为多少？（标准周期14）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-49.1896,easy,momentum,%R = (max_{i=0}^{n-1} H_{t-i} - C_t) / (max_{i=0}^{n-1} H_{t-i} - min_{i=0}^{n-1} L_{t-i}) * (-100),"date,high,low,close
+2020-07-22,227.5,207.5,209.55
+2020-07-23,214.55,196.81,205.23
+2020-07-24,209.0,195.0,199.97
+2020-07-27,203.88,185.0,190.45
+2020-07-28,194.44,184.0,188.0
+2020-07-29,203.0,187.01,200.18
+2020-07-30,215.88,204.0,208.14
+2020-07-31,221.7,207.26,220.39
+2020-08-03,256.8,230.45,249.49
+2020-08-04,249.0,225.88,228.77
+2020-08-05,243.0,222.99,226.2
+2020-08-06,227.6,216.0,220.0
+2020-08-07,222.97,204.8,208.21
+2020-08-10,226.78,205.36,220.99
+",
+CN,technical,对于威廉%R，山东黄金2025年01月22日的值是多少？（标准周期14）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-6.1111,easy,momentum,%R = (max_{i=0}^{n-1} H_{t-i} - C_t) / (max_{i=0}^{n-1} H_{t-i} - min_{i=0}^{n-1} L_{t-i}) * (-100),"date,high,low,close
+2025-01-03,24.22,23.3,24.12
+2025-01-06,24.43,23.49,24.04
+2025-01-07,24.43,23.78,24.41
+2025-01-08,24.91,24.22,24.48
+2025-01-09,24.6,24.09,24.27
+2025-01-10,24.53,23.99,24.19
+2025-01-13,24.8,24.0,24.54
+2025-01-14,24.61,24.12,24.51
+2025-01-15,24.48,23.71,24.12
+2025-01-16,24.61,24.29,24.42
+2025-01-17,24.69,24.3,24.31
+2025-01-20,24.32,23.71,23.96
+2025-01-21,23.99,23.62,23.84
+2025-01-22,25.1,23.93,24.99
+",
+CN,technical,计算华润三九2021年01月29日的威廉%R的值。（标准周期14）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-93.0736,easy,momentum,%R = (max_{i=0}^{n-1} H_{t-i} - C_t) / (max_{i=0}^{n-1} H_{t-i} - min_{i=0}^{n-1} L_{t-i}) * (-100),"date,high,low,close
+2021-01-12,26.37,25.79,26.01
+2021-01-13,26.57,25.97,26.28
+2021-01-14,26.52,25.94,26.2
+2021-01-15,26.15,25.61,25.68
+2021-01-18,26.08,25.66,25.91
+2021-01-19,26.07,25.76,25.94
+2021-01-20,26.3,25.81,26.11
+2021-01-21,26.25,25.89,26.04
+2021-01-22,26.42,25.85,26.34
+2021-01-25,26.96,26.43,26.61
+2021-01-26,26.6,26.3,26.5
+2021-01-27,26.5,25.96,26.11
+2021-01-28,26.08,25.02,25.12
+2021-01-29,25.32,24.65,24.81
+",
+CN,technical,中联重科2024年12月31日的布林带%B的值是？（标准版：周期20，乘数2，用总体标准差）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.8449,easy,volatility,Middle = SMA_n(P)；Upper = Middle + 2 * \sigma_n(P)；Lower = Middle - 2 * \sigma_n(P)；%B = (P_t - Lower) / (Upper - Lower),"date,close
+2024-12-04,6.97
+2024-12-05,7.06
+2024-12-06,7.03
+2024-12-09,6.99
+2024-12-10,7.16
+2024-12-11,7.18
+2024-12-12,7.24
+2024-12-13,7.09
+2024-12-16,6.99
+2024-12-17,7.01
+2024-12-18,6.99
+2024-12-19,7.01
+2024-12-20,6.91
+2024-12-23,7.08
+2024-12-24,7.24
+2024-12-25,7.19
+2024-12-26,7.21
+2024-12-27,7.07
+2024-12-30,7.17
+2024-12-31,7.23
+",
+CN,technical,2021年12月20日，中国巨石的布林带%B是多少？（标准版：周期20，乘数2，用总体标准差）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0646,easy,volatility,Middle = SMA_n(P)；Upper = Middle + 2 * \sigma_n(P)；Lower = Middle - 2 * \sigma_n(P)；%B = (P_t - Lower) / (Upper - Lower),"date,close
+2021-11-23,17.0
+2021-11-24,16.86
+2021-11-25,17.2
+2021-11-26,17.17
+2021-11-29,17.0
+2021-11-30,17.5
+2021-12-01,17.7
+2021-12-02,17.78
+2021-12-03,17.76
+2021-12-06,17.65
+2021-12-07,17.88
+2021-12-08,17.81
+2021-12-09,17.82
+2021-12-10,17.4
+2021-12-13,18.14
+2021-12-14,18.01
+2021-12-15,17.74
+2021-12-16,17.84
+2021-12-17,17.51
+2021-12-20,16.87
+",
+CN,technical,盛美上海的布林带%B在2023年11月23日为多少？（标准版：周期20，乘数2，用总体标准差）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.1231,easy,volatility,Middle = SMA_n(P)；Upper = Middle + 2 * \sigma_n(P)；Lower = Middle - 2 * \sigma_n(P)；%B = (P_t - Lower) / (Upper - Lower),"date,close
+2023-10-27,123.08
+2023-10-30,120.5
+2023-10-31,120.5
+2023-11-01,117.99
+2023-11-02,116.3
+2023-11-03,117.6
+2023-11-06,116.38
+2023-11-07,116.23
+2023-11-08,118.23
+2023-11-09,114.19
+2023-11-10,113.2
+2023-11-13,115.36
+2023-11-14,118.88
+2023-11-15,117.39
+2023-11-16,113.93
+2023-11-17,114.81
+2023-11-20,113.95
+2023-11-21,112.62
+2023-11-22,109.3
+2023-11-23,111.15
+",
+CN,technical,对于布林带%B，兆易创新2020年04月22日的值是多少？（标准版：周期20，乘数2，用总体标准差）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.5329,easy,volatility,Middle = SMA_n(P)；Upper = Middle + 2 * \sigma_n(P)；Lower = Middle - 2 * \sigma_n(P)；%B = (P_t - Lower) / (Upper - Lower),"date,close
+2020-03-25,251.3
+2020-03-26,246.3
+2020-03-27,250.07
+2020-03-30,252.59
+2020-03-31,242.01
+2020-04-01,242.29
+2020-04-02,266.52
+2020-04-03,257.78
+2020-04-07,264.5
+2020-04-08,268.65
+2020-04-09,262.15
+2020-04-10,246.93
+2020-04-13,236.2
+2020-04-14,245.32
+2020-04-15,255.13
+2020-04-16,258.05
+2020-04-17,269.0
+2020-04-20,267.1
+2020-04-21,257.02
+2020-04-22,255.99
+",
+CN,technical,计算贵州茅台2023年11月07日的布林带%B的值。（标准版：周期20，乘数2，用总体标准差）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.7903,easy,volatility,Middle = SMA_n(P)；Upper = Middle + 2 * \sigma_n(P)；Lower = Middle - 2 * \sigma_n(P)；%B = (P_t - Lower) / (Upper - Lower),"date,close
+2023-10-11,1778.5
+2023-10-12,1786.0
+2023-10-13,1751.0
+2023-10-16,1729.9
+2023-10-17,1726.0
+2023-10-18,1728.0
+2023-10-19,1630.0
+2023-10-20,1645.0
+2023-10-23,1643.98
+2023-10-24,1642.95
+2023-10-25,1677.5
+2023-10-26,1672.23
+2023-10-27,1676.71
+2023-10-30,1681.0
+2023-10-31,1684.58
+2023-11-01,1780.99
+2023-11-02,1779.5
+2023-11-03,1811.24
+2023-11-06,1812.0
+2023-11-07,1791.17
+",
+CN,technical,山金国际2022年09月28日的平均真实波幅的值是？（标准版：周期14）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.6629,easy,volatility,"TR_t = max(H_t - L_t, |H_t - C_{t-1}|, |L_t - C_{t-1}|)；ATR = SMA_n(TR)","date,high,low,close
+2022-09-07,11.84,11.56,11.74
+2022-09-08,12.9,11.77,12.69
+2022-09-09,12.88,12.38,12.75
+2022-09-13,13.54,12.86,13.23
+2022-09-14,13.28,12.66,13.18
+2022-09-15,13.13,12.36,12.56
+2022-09-16,12.54,12.21,12.28
+2022-09-19,12.47,12.05,12.2
+2022-09-20,12.56,11.98,12.41
+2022-09-21,13.07,12.19,12.99
+2022-09-22,13.38,12.69,13.17
+2022-09-23,13.34,12.82,13.05
+2022-09-26,12.9,12.34,12.55
+2022-09-27,12.6,11.86,12.4
+2022-09-28,12.39,11.9,12.05
+",
+CN,technical,2025年03月04日，新产业的平均真实波幅是多少？（标准版：周期14）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.0964,easy,volatility,"TR_t = max(H_t - L_t, |H_t - C_{t-1}|, |L_t - C_{t-1}|)；ATR = SMA_n(TR)","date,high,low,close
+2025-02-12,63.52,62.24,63.49
+2025-02-13,64.2,61.9,61.91
+2025-02-14,65.2,61.08,65.0
+2025-02-17,66.86,63.3,64.07
+2025-02-18,65.16,63.5,64.0
+2025-02-19,65.55,63.71,64.58
+2025-02-20,66.87,64.15,66.28
+2025-02-21,67.13,63.8,64.59
+2025-02-24,64.39,62.0,62.2
+2025-02-25,62.54,61.5,61.83
+2025-02-26,62.83,61.71,62.11
+2025-02-27,62.2,60.75,61.79
+2025-02-28,62.91,61.11,62.0
+2025-03-03,62.16,61.02,61.37
+2025-03-04,61.48,60.8,61.19
+",
+CN,technical,青岛港的平均真实波幅在2023年05月16日为多少？（标准版：周期14）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.4057,easy,volatility,"TR_t = max(H_t - L_t, |H_t - C_{t-1}|, |L_t - C_{t-1}|)；ATR = SMA_n(TR)","date,high,low,close
+2023-04-21,6.82,6.67,6.7
+2023-04-24,6.76,6.62,6.7
+2023-04-25,6.92,6.67,6.8
+2023-04-26,6.82,6.65,6.79
+2023-04-27,7.0,6.8,6.87
+2023-04-28,7.22,6.83,7.17
+2023-05-04,7.87,7.11,7.78
+2023-05-05,8.13,7.78,8.08
+2023-05-08,8.78,7.91,8.47
+2023-05-09,8.53,7.94,7.95
+2023-05-10,7.89,7.36,7.54
+2023-05-11,7.57,7.25,7.29
+2023-05-12,7.54,7.2,7.44
+2023-05-15,7.64,7.18,7.4
+2023-05-16,7.52,7.28,7.31
+",
+CN,technical,对于平均真实波幅，华润三九2020年08月20日的值是多少？（标准版：周期14）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.7436,easy,volatility,"TR_t = max(H_t - L_t, |H_t - C_{t-1}|, |L_t - C_{t-1}|)；ATR = SMA_n(TR)","date,high,low,close
+2020-07-31,30.55,29.58,30.3
+2020-08-03,30.87,30.25,30.68
+2020-08-04,31.33,30.51,30.78
+2020-08-05,30.99,30.13,30.87
+2020-08-06,31.2,30.36,30.69
+2020-08-07,30.8,30.11,30.45
+2020-08-10,31.12,30.07,31.09
+2020-08-11,31.13,29.93,30.01
+2020-08-12,30.1,29.06,29.46
+2020-08-13,29.8,29.23,29.37
+2020-08-14,29.57,29.02,29.52
+2020-08-17,29.9,29.4,29.86
+2020-08-18,30.17,29.6,29.75
+2020-08-19,29.81,29.26,29.3
+2020-08-20,29.32,28.77,28.93
+",
+CN,technical,计算春秋航空2024年02月21日的平均真实波幅的值。（标准版：周期14）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.9107,easy,volatility,"TR_t = max(H_t - L_t, |H_t - C_{t-1}|, |L_t - C_{t-1}|)；ATR = SMA_n(TR)","date,high,low,close
+2024-01-24,53.85,52.24,53.73
+2024-01-25,53.73,52.68,53.04
+2024-01-26,54.68,52.87,54.13
+2024-01-29,56.0,54.15,54.95
+2024-01-30,54.99,53.06,53.3
+2024-01-31,53.3,51.85,52.35
+2024-02-01,53.8,51.78,52.78
+2024-02-02,53.49,50.88,51.9
+2024-02-05,53.43,50.71,52.73
+2024-02-06,53.68,51.85,53.68
+2024-02-07,54.45,52.38,53.99
+2024-02-08,55.98,53.69,55.18
+2024-02-19,56.49,55.22,55.72
+2024-02-20,57.57,55.34,57.3
+2024-02-21,58.01,56.45,57.36
+",
+CN,technical,康龙化成2024年04月03日的易动指标的值是？（标准版：周期14，分母中 volume 以百万为单位，避免数值过大）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-0.0074,easy,volume,MidMove_t = ((H_t + L_t) / 2 - (H_{t-1} + L_{t-1}) / 2) / ((V_t / 10^6) / (H_t - L_t))；EMV = SMA_n(MidMove),"date,high,low,volume
+2024-03-14,24.9,23.0,60509135.0
+2024-03-15,23.76,22.46,39256727.0
+2024-03-18,23.67,22.3,46078104.0
+2024-03-19,23.51,22.84,31929164.0
+2024-03-20,23.33,22.64,26030797.0
+2024-03-21,23.0,22.28,27531001.0
+2024-03-22,22.21,21.26,32799271.0
+2024-03-25,22.47,21.1,36097267.0
+2024-03-26,21.25,20.63,25025073.0
+2024-03-27,21.1,20.1,27024246.0
+2024-03-28,20.66,20.05,25189337.0
+2024-03-29,20.55,19.88,21954268.0
+2024-04-01,21.02,20.42,29699508.0
+2024-04-02,20.99,20.37,24272922.0
+2024-04-03,20.83,20.33,20347917.0
+",
+CN,technical,2023年01月18日，云南白药的易动指标是多少？（标准版：周期14，分母中 volume 以百万为单位，避免数值过大）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0291,easy,volume,MidMove_t = ((H_t + L_t) / 2 - (H_{t-1} + L_{t-1}) / 2) / ((V_t / 10^6) / (H_t - L_t))；EMV = SMA_n(MidMove),"date,high,low,volume
+2022-12-28,54.55,53.77,3423574.0
+2022-12-29,54.56,53.83,2915059.0
+2022-12-30,54.58,54.0,2543733.0
+2023-01-03,55.13,54.37,3770657.0
+2023-01-04,54.98,54.42,4066885.0
+2023-01-05,55.61,54.9,6134764.0
+2023-01-06,55.47,54.8,3975756.0
+2023-01-09,55.35,54.91,3149371.0
+2023-01-10,55.55,54.81,4779267.0
+2023-01-11,55.45,54.84,5494871.0
+2023-01-12,55.34,54.66,4836656.0
+2023-01-13,56.77,54.98,9207466.0
+2023-01-16,57.97,56.8,11217996.0
+2023-01-17,57.65,56.7,5506202.0
+2023-01-18,57.32,56.62,5297947.0
+",
+CN,technical,杭州银行的易动指标在2023年02月22日为多少？（标准版：周期14，分母中 volume 以百万为单位，避免数值过大）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-0.0005,easy,volume,MidMove_t = ((H_t + L_t) / 2 - (H_{t-1} + L_{t-1}) / 2) / ((V_t / 10^6) / (H_t - L_t))；EMV = SMA_n(MidMove),"date,high,low,volume
+2023-02-02,13.06,12.88,20172796.0
+2023-02-03,12.9,12.67,15812141.0
+2023-02-06,12.83,12.59,17494819.0
+2023-02-07,12.81,12.65,15005864.0
+2023-02-08,12.73,12.6,19405386.0
+2023-02-09,12.73,12.58,25675136.0
+2023-02-10,12.63,12.45,32205861.0
+2023-02-13,12.51,12.32,26076492.0
+2023-02-14,12.5,12.21,47515067.0
+2023-02-15,12.37,12.21,32571222.0
+2023-02-16,12.31,12.04,44143472.0
+2023-02-17,12.11,11.9,38173375.0
+2023-02-20,12.32,11.94,55362282.0
+2023-02-21,12.35,12.18,30624454.0
+2023-02-22,12.29,12.16,16720078.0
+",
+CN,technical,对于易动指标，恒瑞医药2023年08月04日的值是多少？（标准版：周期14，分母中 volume 以百万为单位，避免数值过大）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-0.0067,easy,volume,MidMove_t = ((H_t + L_t) / 2 - (H_{t-1} + L_{t-1}) / 2) / ((V_t / 10^6) / (H_t - L_t))；EMV = SMA_n(MidMove),"date,high,low,volume
+2023-07-17,47.52,46.73,21394359.0
+2023-07-18,47.85,47.0,12113452.0
+2023-07-19,47.37,46.55,19415049.0
+2023-07-20,47.4,45.87,18098829.0
+2023-07-21,46.3,45.65,20976558.0
+2023-07-24,48.0,45.89,47398816.0
+2023-07-25,47.9,47.13,24909769.0
+2023-07-26,48.16,47.55,16778804.0
+2023-07-27,48.47,47.8,16225472.0
+2023-07-28,49.2,47.59,37757340.0
+2023-07-31,49.33,44.22,135924169.0
+2023-08-01,44.31,42.3,134400131.0
+2023-08-02,43.99,42.06,93481863.0
+2023-08-03,42.89,41.18,79188796.0
+2023-08-04,42.67,41.0,106460887.0
+",
+CN,technical,计算鹏鼎控股2024年10月25日的易动指标的值。（标准版：周期14，分母中 volume 以百万为单位，避免数值过大）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0178,easy,volume,MidMove_t = ((H_t + L_t) / 2 - (H_{t-1} + L_{t-1}) / 2) / ((V_t / 10^6) / (H_t - L_t))；EMV = SMA_n(MidMove),"date,high,low,volume
+2024-09-30,35.77,32.66,39491341.0
+2024-10-08,39.35,35.0,59310611.0
+2024-10-09,37.65,35.15,33111679.0
+2024-10-10,37.5,35.02,30236069.0
+2024-10-11,36.18,34.0,21333318.0
+2024-10-14,36.0,34.32,26512718.0
+2024-10-15,36.36,34.41,23971862.0
+2024-10-16,33.86,31.71,38020635.0
+2024-10-17,33.8,32.65,16788838.0
+2024-10-18,35.59,32.4,37512781.0
+2024-10-21,38.33,34.97,45768774.0
+2024-10-22,38.35,35.55,25628099.0
+2024-10-23,38.42,35.93,22798946.0
+2024-10-24,37.59,36.37,15375241.0
+2024-10-25,37.99,36.26,19256200.0
+",
+CN,technical,紫金矿业2024年07月25日的资金流量指数的值是？（标准版：周期14）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,30.9836,easy,volume,TP_t = (H_t + L_t + C_t) / 3；MF_t = TP_t * V_t；PMF_t = MF_t * \mathbb{1}[TP_t > TP_{t-1}]；NMF_t = MF_t * \mathbb{1}[TP_t < TP_{t-1}]；MFR = \sum_{i=0}^{n-1} PMF_{t-i} / \sum_{i=0}^{n-1} NMF_{t-i}；MFI = 100 - 100 / (1 + MFR),"date,high,low,close,volume
+2024-07-05,18.66,18.11,18.64,188747609.0
+2024-07-08,18.88,18.44,18.45,149197688.0
+2024-07-09,18.86,18.55,18.82,164930663.0
+2024-07-10,18.98,18.28,18.38,150842964.0
+2024-07-11,18.96,18.3,18.87,155807757.0
+2024-07-12,19.0,18.36,18.48,139055070.0
+2024-07-15,18.95,18.43,18.82,126988958.0
+2024-07-16,19.24,18.78,19.21,134595480.0
+2024-07-17,19.54,18.37,18.47,217167411.0
+2024-07-18,18.49,17.97,18.45,149177702.0
+2024-07-19,18.05,17.11,17.94,238617158.0
+2024-07-22,17.84,17.21,17.6,192975122.0
+2024-07-23,17.72,16.5,16.52,235473241.0
+2024-07-24,16.75,16.4,16.53,136809553.0
+2024-07-25,16.24,15.38,15.43,288215160.0
+",
+CN,technical,2021年10月29日，泸州老窖的资金流量指数是多少？（标准版：周期14）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,58.4645,easy,volume,TP_t = (H_t + L_t + C_t) / 3；MF_t = TP_t * V_t；PMF_t = MF_t * \mathbb{1}[TP_t > TP_{t-1}]；NMF_t = MF_t * \mathbb{1}[TP_t < TP_{t-1}]；MFR = \sum_{i=0}^{n-1} PMF_{t-i} / \sum_{i=0}^{n-1} NMF_{t-i}；MFI = 100 - 100 / (1 + MFR),"date,high,low,close,volume
+2021-10-11,231.0,222.0,224.5,15531629.0
+2021-10-12,228.01,218.92,225.15,11490605.0
+2021-10-13,246.0,223.5,238.28,21931916.0
+2021-10-14,244.6,230.69,238.89,14915230.0
+2021-10-15,239.33,228.02,234.69,13510583.0
+2021-10-18,230.7,215.3,224.92,24444266.0
+2021-10-19,233.3,222.0,231.37,14676861.0
+2021-10-20,237.9,229.6,232.13,10430217.0
+2021-10-21,233.95,226.5,231.9,9048912.0
+2021-10-22,236.44,228.51,231.91,10014047.0
+2021-10-25,233.28,227.37,230.6,8516350.0
+2021-10-26,238.54,227.5,232.9,9966985.0
+2021-10-27,232.0,222.05,225.13,11160944.0
+2021-10-28,232.86,224.55,227.29,8356695.0
+2021-10-29,239.88,227.8,228.95,17029287.0
+",
+CN,technical,兴业证券的资金流量指数在2023年08月01日为多少？（标准版：周期14）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,68.3778,easy,volume,TP_t = (H_t + L_t + C_t) / 3；MF_t = TP_t * V_t；PMF_t = MF_t * \mathbb{1}[TP_t > TP_{t-1}]；NMF_t = MF_t * \mathbb{1}[TP_t < TP_{t-1}]；MFR = \sum_{i=0}^{n-1} PMF_{t-i} / \sum_{i=0}^{n-1} NMF_{t-i}；MFI = 100 - 100 / (1 + MFR),"date,high,low,close,volume
+2023-07-12,6.35,6.21,6.23,40094120.0
+2023-07-13,6.36,6.26,6.34,62069094.0
+2023-07-14,6.36,6.3,6.32,40577070.0
+2023-07-17,6.32,6.25,6.3,25128529.0
+2023-07-18,6.35,6.29,6.31,27809380.0
+2023-07-19,6.36,6.28,6.35,32355768.0
+2023-07-20,6.39,6.3,6.3,37835086.0
+2023-07-21,6.37,6.29,6.32,28505954.0
+2023-07-24,6.37,6.29,6.31,24486672.0
+2023-07-25,6.6,6.45,6.57,147885109.0
+2023-07-26,6.58,6.46,6.53,68120554.0
+2023-07-27,6.57,6.47,6.49,50083962.0
+2023-07-28,6.97,6.46,6.9,251194045.0
+2023-07-31,7.18,6.94,6.97,267475433.0
+2023-08-01,7.07,6.86,6.92,154969499.0
+",
+CN,technical,对于资金流量指数，中芯国际2023年12月25日的值是多少？（标准版：周期14）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,61.1321,easy,volume,TP_t = (H_t + L_t + C_t) / 3；MF_t = TP_t * V_t；PMF_t = MF_t * \mathbb{1}[TP_t > TP_{t-1}]；NMF_t = MF_t * \mathbb{1}[TP_t < TP_{t-1}]；MFR = \sum_{i=0}^{n-1} PMF_{t-i} / \sum_{i=0}^{n-1} NMF_{t-i}；MFI = 100 - 100 / (1 + MFR),"date,high,low,close,volume
+2023-12-05,53.17,52.39,52.39,14397097.0
+2023-12-06,52.78,51.74,51.97,18213173.0
+2023-12-07,52.67,51.55,52.67,23285236.0
+2023-12-08,52.68,51.1,52.55,38139823.0
+2023-12-11,53.22,51.7,53.18,21987436.0
+2023-12-12,54.17,52.86,54.12,20974632.0
+2023-12-13,54.56,53.7,53.75,17916295.0
+2023-12-14,54.2,53.07,53.1,12358424.0
+2023-12-15,54.14,53.03,53.6,12130924.0
+2023-12-18,53.99,53.2,53.74,10065168.0
+2023-12-19,54.94,53.61,54.76,20412523.0
+2023-12-20,55.24,54.46,54.51,14475005.0
+2023-12-21,54.7,53.36,54.57,14498278.0
+2023-12-22,55.19,54.39,54.79,15173506.0
+2023-12-25,55.0,52.85,53.01,17788368.0
+",
+CN,technical,计算江苏银行2020年12月29日的资金流量指数的值。（标准版：周期14）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,17.0763,easy,volume,TP_t = (H_t + L_t + C_t) / 3；MF_t = TP_t * V_t；PMF_t = MF_t * \mathbb{1}[TP_t > TP_{t-1}]；NMF_t = MF_t * \mathbb{1}[TP_t < TP_{t-1}]；MFR = \sum_{i=0}^{n-1} PMF_{t-i} / \sum_{i=0}^{n-1} NMF_{t-i}；MFI = 100 - 100 / (1 + MFR),"date,high,low,close,volume
+2020-12-01,6.45,6.21,6.43,122637646.0
+2020-12-02,6.44,6.33,6.35,78415884.0
+2020-12-03,6.43,6.27,6.39,117492799.0
+2020-12-04,6.41,6.2,6.25,115083865.0
+2020-12-07,6.25,6.06,6.07,124682867.0
+2020-12-08,6.09,5.92,5.93,219796425.0
+2020-12-17,5.63,5.51,5.59,93583833.0
+2020-12-18,5.67,5.56,5.58,64373581.0
+2020-12-21,5.63,5.54,5.61,46928234.0
+2020-12-22,5.61,5.49,5.5,57372223.0
+2020-12-23,5.52,5.37,5.41,79749102.0
+2020-12-24,5.45,5.36,5.37,44100071.0
+2020-12-25,5.41,5.34,5.39,32806744.0
+2020-12-28,5.43,5.36,5.37,50475864.0
+2020-12-29,5.4,5.37,5.39,37708017.0
+",
+CN,technical,华友钴业2022年08月26日的KDJ的K的值是？（标准版：RSV周期n=9，1/3平滑权重；从前20+n个数据开始计算，递推初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,29.6756,easy,momentum,K_t = 1/3 * RSV_t + 2/3 * K_{t-1}；RSV_t = (C_t - min_{i=0}^{n-1} L_{t-i}) / (max_{i=0}^{n-1} H_{t-i} - min_{i=0}^{n-1} L_{t-i}) * 100,"date,high,low,close
+2022-07-18,92.56,87.79,90.59
+2022-07-19,92.0,88.73,89.97
+2022-07-20,91.81,89.89,91.0
+2022-07-21,90.97,87.6,87.61
+2022-07-22,91.5,87.8,88.85
+2022-07-25,89.45,86.65,87.19
+2022-07-26,90.56,86.88,87.83
+2022-07-27,88.11,85.29,87.56
+2022-07-28,88.56,85.7,85.83
+2022-07-29,87.94,84.0,84.37
+2022-08-01,92.44,85.86,92.01
+2022-08-02,91.34,87.87,89.49
+2022-08-03,90.68,84.1,84.5
+2022-08-04,86.35,82.0,83.4
+2022-08-05,85.33,81.65,84.8
+2022-08-08,85.3,83.55,84.85
+2022-08-09,88.5,84.04,87.11
+2022-08-10,89.5,81.41,82.83
+2022-08-11,82.9,80.2,82.82
+2022-08-12,83.35,81.99,82.2
+2022-08-15,84.98,81.4,83.3
+2022-08-16,83.31,80.78,81.15
+2022-08-17,82.4,78.89,81.53
+2022-08-18,82.34,79.95,80.16
+2022-08-19,81.06,78.69,79.27
+2022-08-22,84.38,79.34,83.64
+2022-08-23,84.6,81.88,83.94
+2022-08-24,85.8,81.2,81.55
+2022-08-25,82.09,78.8,79.89
+2022-08-26,82.39,79.57,80.15
+",
+CN,technical,2022年01月12日，阳光电源的KDJ的K是多少？（标准版：RSV周期n=9，1/3平滑权重；从前20+n个数据开始计算，递推初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,14.4093,easy,momentum,K_t = 1/3 * RSV_t + 2/3 * K_{t-1}；RSV_t = (C_t - min_{i=0}^{n-1} L_{t-i}) / (max_{i=0}^{n-1} H_{t-i} - min_{i=0}^{n-1} L_{t-i}) * 100,"date,high,low,close
+2021-12-01,162.99,158.49,160.0
+2021-12-02,160.78,156.8,157.98
+2021-12-03,159.0,150.74,152.99
+2021-12-06,154.59,149.8,150.25
+2021-12-07,151.5,145.17,148.7
+2021-12-08,151.56,146.4,150.2
+2021-12-09,150.26,147.0,148.03
+2021-12-10,151.8,146.27,149.99
+2021-12-13,152.24,147.62,148.09
+2021-12-14,150.8,147.39,148.86
+2021-12-15,151.31,147.66,149.1
+2021-12-16,152.77,149.56,152.63
+2021-12-17,153.0,145.01,146.5
+2021-12-20,146.5,135.33,137.6
+2021-12-21,137.5,129.8,135.32
+2021-12-22,138.58,133.15,137.4
+2021-12-23,143.88,136.68,140.98
+2021-12-24,142.11,133.0,133.21
+2021-12-27,136.5,130.38,135.7
+2021-12-28,139.95,133.93,138.85
+2021-12-29,142.55,138.49,138.49
+2021-12-30,143.5,138.0,140.97
+2021-12-31,151.0,145.39,145.8
+2022-01-04,148.95,135.05,135.4
+2022-01-05,136.2,126.59,129.0
+2022-01-06,131.2,125.71,130.1
+2022-01-07,131.18,124.98,128.3
+2022-01-10,127.91,123.69,124.5
+2022-01-11,125.86,119.61,120.98
+2022-01-12,125.5,121.14,125.49
+",
+CN,technical,片仔癀的KDJ的K在2022年01月25日为多少？（标准版：RSV周期n=9，1/3平滑权重；从前20+n个数据开始计算，递推初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,18.0828,easy,momentum,K_t = 1/3 * RSV_t + 2/3 * K_{t-1}；RSV_t = (C_t - min_{i=0}^{n-1} L_{t-i}) / (max_{i=0}^{n-1} H_{t-i} - min_{i=0}^{n-1} L_{t-i}) * 100,"date,high,low,close
+2021-12-14,472.0,460.0,471.0
+2021-12-15,472.0,462.7,463.0
+2021-12-16,466.8,456.0,457.7
+2021-12-17,459.84,451.5,456.5
+2021-12-20,466.56,451.07,458.08
+2021-12-21,468.85,458.1,466.13
+2021-12-22,485.0,465.01,479.11
+2021-12-23,480.55,468.88,475.85
+2021-12-24,486.15,475.03,479.8
+2021-12-27,484.79,471.6,472.3
+2021-12-28,477.66,470.01,476.15
+2021-12-29,477.95,428.54,428.54
+2021-12-30,425.66,400.02,423.03
+2021-12-31,443.17,416.0,437.15
+2022-01-04,443.88,429.5,432.3
+2022-01-05,429.99,409.0,414.99
+2022-01-06,416.99,398.38,402.0
+2022-01-07,404.64,392.0,394.31
+2022-01-10,400.91,381.0,394.98
+2022-01-11,401.0,388.0,393.82
+2022-01-12,398.89,392.28,394.8
+2022-01-13,397.31,388.11,390.0
+2022-01-14,391.0,385.0,386.1
+2022-01-17,393.7,382.88,392.82
+2022-01-18,404.3,388.11,399.9
+2022-01-19,402.5,385.0,391.0
+2022-01-20,394.5,378.1,386.99
+2022-01-21,385.98,369.83,379.22
+2022-01-24,382.79,372.0,376.2
+2022-01-25,380.0,369.2,369.2
+",
+CN,technical,对于KDJ的K，四川路桥2021年03月08日的值是多少？（标准版：RSV周期n=9，1/3平滑权重；从前20+n个数据开始计算，递推初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,80.3822,easy,momentum,K_t = 1/3 * RSV_t + 2/3 * K_{t-1}；RSV_t = (C_t - min_{i=0}^{n-1} L_{t-i}) / (max_{i=0}^{n-1} H_{t-i} - min_{i=0}^{n-1} L_{t-i}) * 100,"date,high,low,close
+2021-01-19,4.75,4.63,4.72
+2021-01-20,4.73,4.63,4.64
+2021-01-21,4.67,4.6,4.62
+2021-01-22,4.62,4.49,4.51
+2021-01-25,4.55,4.41,4.46
+2021-01-26,4.49,4.4,4.44
+2021-01-27,4.61,4.42,4.52
+2021-01-28,4.95,4.71,4.75
+2021-01-29,4.79,4.6,4.64
+2021-02-01,5.0,4.65,4.98
+2021-02-02,4.97,4.77,4.9
+2021-02-03,4.98,4.82,4.89
+2021-02-04,4.97,4.81,4.88
+2021-02-05,4.94,4.73,4.75
+2021-02-08,5.04,4.74,4.93
+2021-02-09,4.99,4.88,4.94
+2021-02-10,4.97,4.85,4.92
+2021-02-18,5.03,4.92,4.96
+2021-02-19,5.2,4.94,5.16
+2021-02-22,5.48,5.17,5.32
+2021-02-23,5.4,5.18,5.21
+2021-02-24,5.34,5.22,5.27
+2021-02-25,5.41,5.26,5.38
+2021-02-26,5.3,5.16,5.19
+2021-03-01,5.25,5.18,5.22
+2021-03-02,5.26,5.06,5.09
+2021-03-03,5.43,5.12,5.41
+2021-03-04,5.74,5.36,5.63
+2021-03-05,5.72,5.53,5.68
+2021-03-08,5.8,5.61,5.69
+",
+CN,technical,计算大华股份2021年07月29日的KDJ的K的值。（标准版：RSV周期n=9，1/3平滑权重；从前20+n个数据开始计算，递推初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,34.4729,easy,momentum,K_t = 1/3 * RSV_t + 2/3 * K_{t-1}；RSV_t = (C_t - min_{i=0}^{n-1} L_{t-i}) / (max_{i=0}^{n-1} H_{t-i} - min_{i=0}^{n-1} L_{t-i}) * 100,"date,high,low,close
+2021-06-18,22.14,20.96,21.88
+2021-06-21,21.9,21.46,21.6
+2021-06-22,22.36,21.37,22.28
+2021-06-23,22.27,21.95,22.06
+2021-06-24,22.25,21.7,22.18
+2021-06-25,22.18,21.7,21.74
+2021-06-28,21.67,21.01,21.15
+2021-06-29,21.37,20.79,20.9
+2021-06-30,21.2,20.84,21.1
+2021-07-01,21.19,20.74,20.78
+2021-07-02,20.99,20.31,20.33
+2021-07-05,20.61,20.0,20.08
+2021-07-06,20.28,19.88,20.24
+2021-07-07,20.93,20.1,20.75
+2021-07-08,20.75,20.37,20.55
+2021-07-09,20.64,20.21,20.52
+2021-07-12,20.85,20.53,20.65
+2021-07-13,20.7,20.31,20.46
+2021-07-14,20.75,20.15,20.53
+2021-07-15,20.92,20.25,20.86
+2021-07-16,22.89,20.8,22.31
+2021-07-19,22.4,21.79,22.0
+2021-07-20,22.78,21.63,22.65
+2021-07-21,23.14,22.46,23.01
+2021-07-22,23.03,22.45,22.45
+2021-07-23,22.83,22.15,22.46
+2021-07-26,22.92,21.22,21.6
+2021-07-27,21.68,20.66,20.74
+2021-07-28,21.18,20.25,20.66
+2021-07-29,21.2,20.78,20.97
+",
+CN,technical,北新建材2023年03月27日的KDJ的D的值是？（标准版：RSV周期n=9，1/3平滑权重；从前25+n个数据开始计算，递推初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,22.9517,easy,momentum,D_t = 1/3 * K_t + 2/3 * D_{t-1}；K_t = 1/3 * RSV_t + 2/3 * K_{t-1}；RSV_t = (C_t - min_{i=0}^{n-1} L_{t-i}) / (max_{i=0}^{n-1} H_{t-i} - min_{i=0}^{n-1} L_{t-i}) * 100,"date,high,low,close
+2023-02-07,28.5,27.71,27.86
+2023-02-08,28.25,27.72,28.01
+2023-02-09,28.88,27.78,28.82
+2023-02-10,29.49,28.51,29.34
+2023-02-13,29.86,29.11,29.46
+2023-02-14,29.85,29.3,29.53
+2023-02-15,29.78,29.19,29.21
+2023-02-16,29.8,28.5,28.78
+2023-02-17,29.96,28.55,29.0
+2023-02-20,31.68,29.22,31.16
+2023-02-21,31.89,31.09,31.34
+2023-02-22,31.52,30.8,31.05
+2023-02-23,31.37,30.39,30.67
+2023-02-24,30.88,30.18,30.48
+2023-02-27,30.74,30.0,30.22
+2023-02-28,30.44,29.76,30.09
+2023-03-01,31.16,30.28,31.16
+2023-03-02,32.0,30.93,31.9
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+2023-03-13,29.3,28.45,28.71
+2023-03-14,28.78,27.86,27.93
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+2023-03-24,28.16,27.36,27.7
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+",
+CN,technical,2020年07月29日，TCL科技的KDJ的D是多少？（标准版：RSV周期n=9，1/3平滑权重；从前25+n个数据开始计算，递推初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,36.9329,easy,momentum,D_t = 1/3 * K_t + 2/3 * D_{t-1}；K_t = 1/3 * RSV_t + 2/3 * K_{t-1}；RSV_t = (C_t - min_{i=0}^{n-1} L_{t-i}) / (max_{i=0}^{n-1} H_{t-i} - min_{i=0}^{n-1} L_{t-i}) * 100,"date,high,low,close
+2020-06-09,5.99,5.74,5.76
+2020-06-10,6.01,5.72,5.98
+2020-06-11,6.01,5.79,5.83
+2020-06-12,5.83,5.57,5.76
+2020-06-15,5.73,5.52,5.57
+2020-06-16,5.85,5.71,5.79
+2020-06-17,5.82,5.68,5.79
+2020-06-18,6.16,5.74,6.13
+2020-06-19,6.23,6.06,6.15
+2020-06-22,6.33,6.12,6.16
+2020-06-23,6.32,6.1,6.15
+2020-06-24,6.3,6.03,6.14
+2020-06-29,6.25,6.02,6.16
+2020-06-30,6.24,6.11,6.2
+2020-07-01,6.21,5.98,6.08
+2020-07-02,6.33,5.98,6.32
+2020-07-03,6.3,6.1,6.18
+2020-07-06,6.54,6.13,6.51
+2020-07-07,7.13,6.66,6.81
+2020-07-08,6.97,6.63,6.87
+2020-07-09,7.04,6.74,6.87
+2020-07-10,6.82,6.6,6.61
+2020-07-13,7.0,6.55,6.99
+2020-07-14,7.04,6.61,6.76
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+",
+CN,technical,天赐材料的KDJ的D在2020年12月03日为多少？（标准版：RSV周期n=9，1/3平滑权重；从前25+n个数据开始计算，递推初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,51.2592,easy,momentum,D_t = 1/3 * K_t + 2/3 * D_{t-1}；K_t = 1/3 * RSV_t + 2/3 * K_{t-1}；RSV_t = (C_t - min_{i=0}^{n-1} L_{t-i}) / (max_{i=0}^{n-1} H_{t-i} - min_{i=0}^{n-1} L_{t-i}) * 100,"date,high,low,close
+2020-10-16,63.74,59.5,60.0
+2020-10-19,61.32,59.01,59.49
+2020-10-20,62.96,58.7,62.75
+2020-10-21,62.46,56.48,56.48
+2020-10-22,56.18,53.41,55.11
+2020-10-23,57.45,52.9,53.97
+2020-10-26,57.36,52.3,57.25
+2020-10-27,58.11,54.85,57.21
+2020-10-28,62.93,56.81,62.93
+2020-10-29,65.85,60.7,62.06
+2020-10-30,63.88,59.8,62.15
+2020-11-02,65.5,61.3,65.3
+2020-11-03,65.3,61.0,63.44
+2020-11-04,65.0,61.22,62.27
+2020-11-05,68.5,63.01,68.5
+2020-11-06,73.8,68.1,72.28
+2020-11-09,76.66,69.02,73.8
+2020-11-10,77.6,69.57,74.0
+2020-11-11,78.0,72.1,73.0
+2020-11-12,75.92,70.64,75.85
+2020-11-13,82.2,73.68,80.5
+2020-11-16,80.3,76.39,78.15
+2020-11-17,79.66,70.5,72.61
+2020-11-18,74.0,70.0,71.36
+2020-11-19,72.56,69.8,71.65
+2020-11-20,75.0,71.81,74.3
+2020-11-23,80.8,74.5,79.24
+2020-11-24,84.45,77.55,83.6
+2020-11-25,84.65,80.25,82.67
+2020-11-26,82.57,77.08,80.45
+2020-11-27,82.19,77.66,79.66
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+2020-12-01,76.0,70.72,74.83
+2020-12-02,75.4,72.38,74.46
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+",
+CN,technical,对于KDJ的D，圆通速递2025年03月03日的值是多少？（标准版：RSV周期n=9，1/3平滑权重；从前25+n个数据开始计算，递推初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,44.6092,easy,momentum,D_t = 1/3 * K_t + 2/3 * D_{t-1}；K_t = 1/3 * RSV_t + 2/3 * K_{t-1}；RSV_t = (C_t - min_{i=0}^{n-1} L_{t-i}) / (max_{i=0}^{n-1} H_{t-i} - min_{i=0}^{n-1} L_{t-i}) * 100,"date,high,low,close
+2025-01-06,14.25,13.9,14.11
+2025-01-07,14.16,13.86,14.09
+2025-01-08,14.12,13.82,13.98
+2025-01-09,14.0,13.79,13.8
+2025-01-10,13.83,13.41,13.41
+2025-01-13,13.47,13.29,13.42
+2025-01-14,13.77,13.38,13.75
+2025-01-15,13.82,13.51,13.54
+2025-01-16,13.69,13.41,13.5
+2025-01-17,13.58,13.31,13.5
+2025-01-20,13.88,13.54,13.6
+2025-01-21,13.7,13.43,13.47
+2025-01-22,13.5,13.26,13.32
+2025-01-23,13.55,13.39,13.49
+2025-01-24,13.74,13.43,13.62
+2025-01-27,13.86,13.63,13.77
+2025-02-05,13.8,13.41,13.47
+2025-02-06,13.68,13.45,13.55
+2025-02-07,13.75,13.41,13.68
+2025-02-10,13.74,13.56,13.67
+2025-02-11,13.75,13.61,13.71
+2025-02-12,13.77,13.49,13.59
+2025-02-13,14.17,13.64,14.09
+2025-02-14,14.23,13.92,14.09
+2025-02-17,14.15,13.85,14.07
+2025-02-18,14.04,13.6,13.64
+2025-02-19,13.74,13.52,13.57
+2025-02-20,13.8,13.41,13.45
+2025-02-21,13.59,13.32,13.48
+2025-02-24,14.09,13.42,13.85
+2025-02-25,13.8,13.51,13.54
+2025-02-26,13.78,13.51,13.76
+2025-02-27,13.96,13.59,13.71
+2025-02-28,13.88,13.63,13.76
+2025-03-03,13.97,13.71,13.77
+",
+CN,technical,计算海光信息2024年04月23日的KDJ的D的值。（标准版：RSV周期n=9，1/3平滑权重；从前25+n个数据开始计算，递推初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,49.6553,easy,momentum,D_t = 1/3 * K_t + 2/3 * D_{t-1}；K_t = 1/3 * RSV_t + 2/3 * K_{t-1}；RSV_t = (C_t - min_{i=0}^{n-1} L_{t-i}) / (max_{i=0}^{n-1} H_{t-i} - min_{i=0}^{n-1} L_{t-i}) * 100,"date,high,low,close
+2024-03-04,89.76,83.85,86.28
+2024-03-05,90.26,84.13,86.3
+2024-03-06,85.81,82.98,84.42
+2024-03-07,85.27,80.75,80.9
+2024-03-08,82.59,79.77,82.3
+2024-03-11,84.8,81.11,83.81
+2024-03-12,83.5,79.57,80.0
+2024-03-13,82.55,79.66,79.7
+2024-03-14,81.3,78.4,80.75
+2024-03-15,80.7,78.5,80.7
+2024-03-18,84.29,80.37,83.19
+2024-03-19,82.5,80.5,80.65
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+2024-03-21,81.5,78.88,79.22
+2024-03-22,81.4,78.9,80.12
+2024-03-25,83.1,79.45,80.5
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+2024-03-28,78.5,75.21,76.79
+2024-03-29,77.57,75.38,77.26
+2024-04-01,79.82,77.6,78.48
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+2024-04-15,79.5,76.99,78.66
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+2024-04-17,80.67,77.2,80.04
+2024-04-18,81.28,78.48,79.3
+2024-04-19,79.13,75.5,75.5
+2024-04-22,74.33,70.3,73.35
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+",
+CN,technical,恒立液压2025年09月01日的KDJ的J的值是？（标准版：RSV周期n=9，1/3平滑权重；从前25+n个数据开始计算，递推初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,99.3771,easy,momentum,J_t = 3 * K_t - 2 * D_t；D_t = 1/3 * K_t + 2/3 * D_{t-1}；K_t = 1/3 * RSV_t + 2/3 * K_{t-1}；RSV_t = (C_t - min_{i=0}^{n-1} L_{t-i}) / (max_{i=0}^{n-1} H_{t-i} - min_{i=0}^{n-1} L_{t-i}) * 100,"date,high,low,close
+2025-07-15,73.52,71.5,73.52
+2025-07-16,76.9,72.66,76.3
+2025-07-17,76.68,75.51,76.3
+2025-07-18,76.8,75.06,76.4
+2025-07-21,79.93,75.56,77.59
+2025-07-22,85.35,78.45,80.38
+2025-07-23,80.58,77.0,79.25
+2025-07-24,79.45,77.41,77.56
+2025-07-25,77.7,75.2,75.63
+2025-07-28,76.47,74.61,75.09
+2025-07-29,76.24,74.88,75.8
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+2025-07-31,75.13,73.32,73.6
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+2025-08-04,74.23,72.56,73.94
+2025-08-05,78.28,73.81,77.43
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+2025-08-08,79.2,75.2,78.13
+2025-08-11,79.5,77.25,77.28
+2025-08-12,78.2,76.29,77.03
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+2025-08-22,84.67,81.96,82.69
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+2025-08-27,87.2,84.0,84.09
+2025-08-28,85.3,83.5,85.15
+2025-08-29,90.68,85.01,89.42
+2025-09-01,91.5,88.3,91.3
+",
+CN,technical,2024年07月19日，深南电路的KDJ的J是多少？（标准版：RSV周期n=9，1/3平滑权重；从前25+n个数据开始计算，递推初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,63.1509,easy,momentum,J_t = 3 * K_t - 2 * D_t；D_t = 1/3 * K_t + 2/3 * D_{t-1}；K_t = 1/3 * RSV_t + 2/3 * K_{t-1}；RSV_t = (C_t - min_{i=0}^{n-1} L_{t-i}) / (max_{i=0}^{n-1} H_{t-i} - min_{i=0}^{n-1} L_{t-i}) * 100,"date,high,low,close
+2024-05-31,92.21,89.76,89.93
+2024-06-03,97.38,90.01,93.9
+2024-06-04,94.74,92.17,93.92
+2024-06-05,95.59,93.34,93.46
+2024-06-06,98.31,93.94,96.37
+2024-06-07,97.2,92.88,93.83
+2024-06-11,95.9,92.71,95.47
+2024-06-12,99.88,94.88,96.7
+2024-06-13,104.92,96.71,102.88
+2024-06-14,108.93,101.13,107.2
+2024-06-17,112.17,105.8,109.88
+2024-06-18,110.94,106.58,108.51
+2024-06-19,109.5,106.23,107.35
+2024-06-20,108.4,106.0,106.5
+2024-06-21,108.6,104.0,107.4
+2024-06-24,112.12,105.9,106.3
+2024-06-25,106.51,103.66,104.75
+2024-06-26,107.01,103.23,106.52
+2024-06-27,106.3,103.08,103.28
+2024-06-28,107.9,102.65,105.77
+2024-07-01,106.5,102.85,106.17
+2024-07-02,105.79,103.02,103.95
+2024-07-03,104.68,101.0,102.94
+2024-07-04,106.65,103.09,105.05
+2024-07-05,106.06,102.05,105.44
+2024-07-08,106.99,104.55,105.15
+2024-07-09,109.75,104.29,109.75
+2024-07-10,120.73,114.89,120.73
+2024-07-11,127.13,120.11,126.99
+2024-07-12,127.79,121.09,126.14
+2024-07-15,128.45,125.16,127.4
+2024-07-16,130.62,126.06,130.5
+2024-07-17,129.81,123.5,123.59
+2024-07-18,124.39,119.01,122.66
+2024-07-19,124.21,120.09,120.6
+",
+CN,technical,一汽解放的KDJ的J在2022年02月21日为多少？（标准版：RSV周期n=9，1/3平滑权重；从前25+n个数据开始计算，递推初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,41.3721,easy,momentum,J_t = 3 * K_t - 2 * D_t；D_t = 1/3 * K_t + 2/3 * D_{t-1}；K_t = 1/3 * RSV_t + 2/3 * K_{t-1}；RSV_t = (C_t - min_{i=0}^{n-1} L_{t-i}) / (max_{i=0}^{n-1} H_{t-i} - min_{i=0}^{n-1} L_{t-i}) * 100,"date,high,low,close
+2021-12-27,10.32,10.25,10.31
+2021-12-28,10.32,10.24,10.31
+2021-12-29,10.38,10.26,10.33
+2021-12-30,10.36,10.28,10.28
+2021-12-31,10.32,10.26,10.29
+2022-01-04,10.37,10.26,10.35
+2022-01-05,10.35,10.27,10.31
+2022-01-06,10.32,10.27,10.31
+2022-01-07,10.36,10.28,10.28
+2022-01-10,10.32,10.22,10.3
+2022-01-11,10.32,10.25,10.27
+2022-01-12,10.3,10.25,10.29
+2022-01-13,10.32,10.25,10.26
+2022-01-14,10.28,10.18,10.21
+2022-01-17,10.25,10.19,10.22
+2022-01-18,10.23,10.18,10.18
+2022-01-19,10.22,10.12,10.14
+2022-01-20,10.16,10.01,10.02
+2022-01-21,10.02,9.79,9.86
+2022-01-24,9.9,9.77,9.82
+2022-01-25,9.88,9.48,9.49
+2022-01-26,9.59,9.49,9.54
+2022-01-27,9.56,9.0,9.19
+2022-01-28,9.51,9.18,9.38
+2022-02-07,9.57,9.42,9.52
+2022-02-08,9.64,9.5,9.63
+2022-02-09,9.77,9.58,9.75
+2022-02-10,9.87,9.67,9.81
+2022-02-11,9.81,9.66,9.72
+2022-02-14,9.84,9.66,9.71
+2022-02-15,9.79,9.65,9.72
+2022-02-16,9.85,9.72,9.75
+2022-02-17,9.76,9.65,9.66
+2022-02-18,9.72,9.61,9.67
+2022-02-21,9.73,9.55,9.69
+",
+CN,technical,对于KDJ的J，新易盛2022年11月23日的值是多少？（标准版：RSV周期n=9，1/3平滑权重；从前25+n个数据开始计算，递推初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,31.5522,easy,momentum,J_t = 3 * K_t - 2 * D_t；D_t = 1/3 * K_t + 2/3 * D_{t-1}；K_t = 1/3 * RSV_t + 2/3 * K_{t-1}；RSV_t = (C_t - min_{i=0}^{n-1} L_{t-i}) / (max_{i=0}^{n-1} H_{t-i} - min_{i=0}^{n-1} L_{t-i}) * 100,"date,high,low,close
+2022-09-29,21.9,21.09,21.47
+2022-09-30,21.69,21.1,21.14
+2022-10-10,21.29,20.16,20.3
+2022-10-11,20.77,20.02,20.36
+2022-10-12,21.37,20.31,21.37
+2022-10-13,22.03,21.3,21.76
+2022-10-14,22.13,21.63,21.96
+2022-10-17,22.46,21.7,22.33
+2022-10-18,22.45,21.88,22.25
+2022-10-19,22.54,22.0,22.17
+2022-10-20,22.72,21.77,22.44
+2022-10-21,22.66,21.89,22.18
+2022-10-24,22.72,21.7,21.8
+2022-10-25,22.18,21.48,21.82
+2022-10-26,22.79,21.72,22.6
+2022-10-27,26.92,25.36,25.38
+2022-10-28,26.04,24.33,24.46
+2022-10-31,26.1,24.5,25.87
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+",
+CN,technical,计算长城汽车2025年02月21日的KDJ的J的值。（标准版：RSV周期n=9，1/3平滑权重；从前25+n个数据开始计算，递推初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,20.1914,easy,momentum,J_t = 3 * K_t - 2 * D_t；D_t = 1/3 * K_t + 2/3 * D_{t-1}；K_t = 1/3 * RSV_t + 2/3 * K_{t-1}；RSV_t = (C_t - min_{i=0}^{n-1} L_{t-i}) / (max_{i=0}^{n-1} H_{t-i} - min_{i=0}^{n-1} L_{t-i}) * 100,"date,high,low,close
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+",
+CN,technical,大全能源2022年07月05日的考夫曼自适应移动平均的值是？（ER周期取10，快线周期取2，慢线周期取30；从前60个数据开始计算）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,68.8712,easy,moving average,ER_t = |C_t - C_{t-n_{er}}| / \sum_{i=0}^{n_{er}-1} |C_{t-i} - C_{t-i-1}|；SC_t = (ER_t * (2/(n_{fast}+1) - 2/(n_{slow}+1)) + 2/(n_{slow}+1))^2；KAMA_t = KAMA_{t-1} + SC_t * (C_t - KAMA_{t-1}),"date,close
+2022-04-06,52.89
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+CN,technical,2024年05月15日，三一重工的考夫曼自适应移动平均是多少？（ER周期取10，快线周期取2，慢线周期取30；从前60个数据开始计算）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,16.6125,easy,moving average,ER_t = |C_t - C_{t-n_{er}}| / \sum_{i=0}^{n_{er}-1} |C_{t-i} - C_{t-i-1}|；SC_t = (ER_t * (2/(n_{fast}+1) - 2/(n_{slow}+1)) + 2/(n_{slow}+1))^2；KAMA_t = KAMA_{t-1} + SC_t * (C_t - KAMA_{t-1}),"date,close
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+",
+CN,technical,星宇股份的考夫曼自适应移动平均在2024年04月24日为多少？（ER周期取10，快线周期取2，慢线周期取30；从前60个数据开始计算）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,138.6065,easy,moving average,ER_t = |C_t - C_{t-n_{er}}| / \sum_{i=0}^{n_{er}-1} |C_{t-i} - C_{t-i-1}|；SC_t = (ER_t * (2/(n_{fast}+1) - 2/(n_{slow}+1)) + 2/(n_{slow}+1))^2；KAMA_t = KAMA_{t-1} + SC_t * (C_t - KAMA_{t-1}),"date,close
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+",
+CN,technical,对于考夫曼自适应移动平均，牧原股份2021年09月17日的值是多少？（ER周期取10，快线周期取2，慢线周期取30；从前60个数据开始计算）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,43.9831,easy,moving average,ER_t = |C_t - C_{t-n_{er}}| / \sum_{i=0}^{n_{er}-1} |C_{t-i} - C_{t-i-1}|；SC_t = (ER_t * (2/(n_{fast}+1) - 2/(n_{slow}+1)) + 2/(n_{slow}+1))^2；KAMA_t = KAMA_{t-1} + SC_t * (C_t - KAMA_{t-1}),"date,close
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+",
+CN,technical,计算中微公司2024年10月29日的考夫曼自适应移动平均的值。（ER周期取10，快线周期取2，慢线周期取30；从前60个数据开始计算）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,172.7561,easy,moving average,ER_t = |C_t - C_{t-n_{er}}| / \sum_{i=0}^{n_{er}-1} |C_{t-i} - C_{t-i-1}|；SC_t = (ER_t * (2/(n_{fast}+1) - 2/(n_{slow}+1)) + 2/(n_{slow}+1))^2；KAMA_t = KAMA_{t-1} + SC_t * (C_t - KAMA_{t-1}),"date,close
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+",
+CN,technical,小商品城2025年06月04日的MACD的DIF的值是？（标准版：快线12，慢线26；从前104个数据开始计算，EMA初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.7002,easy,trend,DIF = EMA_{n_{fast}}(P) - EMA_{n_{slow}}(P),"date,close
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+CN,technical,2025年08月06日，复星医药的MACD的DIF是多少？（标准版：快线12，慢线26；从前104个数据开始计算，EMA初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.4742,easy,trend,DIF = EMA_{n_{fast}}(P) - EMA_{n_{slow}}(P),"date,close
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+CN,technical,兖矿能源的MACD的DIF在2021年06月30日为多少？（标准版：快线12，慢线26；从前104个数据开始计算，EMA初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.339,easy,trend,DIF = EMA_{n_{fast}}(P) - EMA_{n_{slow}}(P),"date,close
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+CN,technical,对于MACD的DIF，三峡能源2025年05月08日的值是多少？（标准版：快线12，慢线26；从前104个数据开始计算，EMA初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0061,easy,trend,DIF = EMA_{n_{fast}}(P) - EMA_{n_{slow}}(P),"date,close
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+",
+CN,technical,计算三花智控2020年08月13日的MACD的DIF的值。（标准版：快线12，慢线26；从前104个数据开始计算，EMA初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-0.0886,easy,trend,DIF = EMA_{n_{fast}}(P) - EMA_{n_{slow}}(P),"date,close
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+",
+CN,technical,豪威集团2020年11月09日的MACD的DEA的值是？（标准版：快线12，慢线26，信号线9；从前104个数据开始计算，EMA初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,5.2725,easy,trend,DIF = EMA_{n_{fast}}(P) - EMA_{n_{slow}}(P)；DEA = EMA_{n_{signal}}(DIF),"date,close
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+",
+CN,technical,2020年11月20日，浪潮信息的MACD的DEA是多少？（标准版：快线12，慢线26，信号线9；从前104个数据开始计算，EMA初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-0.7557,easy,trend,DIF = EMA_{n_{fast}}(P) - EMA_{n_{slow}}(P)；DEA = EMA_{n_{signal}}(DIF),"date,close
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+CN,technical,通威股份的MACD的DEA在2022年05月31日为多少？（标准版：快线12，慢线26，信号线9；从前104个数据开始计算，EMA初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0057,easy,trend,DIF = EMA_{n_{fast}}(P) - EMA_{n_{slow}}(P)；DEA = EMA_{n_{signal}}(DIF),"date,close
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+CN,technical,对于MACD的DEA，小商品城2022年08月04日的值是多少？（标准版：快线12，慢线26，信号线9；从前104个数据开始计算，EMA初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-0.0503,easy,trend,DIF = EMA_{n_{fast}}(P) - EMA_{n_{slow}}(P)；DEA = EMA_{n_{signal}}(DIF),"date,close
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+CN,technical,计算北新建材2023年08月24日的MACD的DEA的值。（标准版：快线12，慢线26，信号线9；从前104个数据开始计算，EMA初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.5071,easy,trend,DIF = EMA_{n_{fast}}(P) - EMA_{n_{slow}}(P)；DEA = EMA_{n_{signal}}(DIF),"date,close
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+CN,technical,欧派家居2025年12月05日的MACD的值是？（标准版：快线12，慢线26，信号线9，A股MACD柱乘2；从前104个数据开始计算，EMA初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0115,easy,trend,DIF = EMA_{n_{fast}}(P) - EMA_{n_{slow}}(P)；DEA = EMA_{n_{signal}}(DIF)；MACD = (DIF - DEA) * 2,"date,close
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+CN,technical,2024年06月04日，中航西飞的MACD是多少？（标准版：快线12，慢线26，信号线9，A股MACD柱乘2；从前104个数据开始计算，EMA初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-0.1999,easy,trend,DIF = EMA_{n_{fast}}(P) - EMA_{n_{slow}}(P)；DEA = EMA_{n_{signal}}(DIF)；MACD = (DIF - DEA) * 2,"date,close
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+2024-03-22,21.81
+2024-03-25,21.55
+2024-03-26,21.58
+2024-03-27,20.9
+2024-03-28,21.5
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+2024-04-01,21.84
+2024-04-02,21.36
+2024-04-03,20.9
+2024-04-08,20.7
+2024-04-09,20.79
+2024-04-10,20.29
+2024-04-11,20.23
+2024-04-12,20.06
+2024-04-15,20.69
+2024-04-16,20.21
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+2024-04-18,20.95
+2024-04-19,21.36
+2024-04-22,21.9
+2024-04-23,21.52
+2024-04-24,21.98
+2024-04-25,21.86
+2024-04-26,21.95
+2024-04-29,22.49
+2024-04-30,22.32
+2024-05-06,22.32
+2024-05-07,23.49
+2024-05-08,23.21
+2024-05-09,24.45
+2024-05-10,24.3
+2024-05-13,24.5
+2024-05-14,24.39
+2024-05-15,23.99
+2024-05-16,23.9
+2024-05-17,24.22
+2024-05-20,24.94
+2024-05-21,24.73
+2024-05-22,24.44
+2024-05-23,24.02
+2024-05-24,23.55
+2024-05-27,23.79
+2024-05-28,24.13
+2024-05-29,24.1
+2024-05-30,24.34
+2024-05-31,24.17
+2024-06-03,24.01
+2024-06-04,24.35
+",
+CN,technical,江苏银行的MACD在2022年04月07日为多少？（标准版：快线12，慢线26，信号线9，A股MACD柱乘2；从前104个数据开始计算，EMA初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.1915,easy,trend,DIF = EMA_{n_{fast}}(P) - EMA_{n_{slow}}(P)；DEA = EMA_{n_{signal}}(DIF)；MACD = (DIF - DEA) * 2,"date,close
+2021-11-02,6.48
+2021-11-03,6.49
+2021-11-04,6.34
+2021-11-05,6.32
+2021-11-08,6.17
+2021-11-09,6.18
+2021-11-10,6.15
+2021-11-11,6.33
+2021-11-12,6.38
+2021-11-15,6.38
+2021-11-16,6.29
+2021-11-17,6.15
+2021-11-18,6.12
+2021-11-19,6.18
+2021-11-22,6.07
+2021-11-23,6.05
+2021-11-24,6.01
+2021-11-25,6.01
+2021-11-26,5.94
+2021-11-29,5.9
+2021-11-30,5.89
+2021-12-01,5.97
+2021-12-02,5.97
+2021-12-03,5.97
+2021-12-06,6.01
+2021-12-07,6.08
+2021-12-08,6.03
+2021-12-09,6.09
+2021-12-10,6.03
+2021-12-13,6.0
+2021-12-14,5.91
+2021-12-15,5.91
+2021-12-16,5.92
+2021-12-17,5.86
+2021-12-20,5.73
+2021-12-21,5.87
+2021-12-22,5.83
+2021-12-23,5.82
+2021-12-24,5.78
+2021-12-27,5.79
+2021-12-28,5.81
+2021-12-29,5.81
+2021-12-30,5.81
+2021-12-31,5.83
+2022-01-04,5.97
+2022-01-05,6.06
+2022-01-06,6.04
+2022-01-07,6.2
+2022-01-10,6.24
+2022-01-11,6.44
+2022-01-12,6.58
+2022-01-13,6.73
+2022-01-14,6.47
+2022-01-17,6.51
+2022-01-18,6.74
+2022-01-19,6.72
+2022-01-20,6.85
+2022-01-21,6.81
+2022-01-24,6.83
+2022-01-25,6.68
+2022-01-26,6.72
+2022-01-27,6.71
+2022-01-28,6.58
+2022-02-07,6.8
+2022-02-08,6.88
+2022-02-09,6.81
+2022-02-10,6.91
+2022-02-11,7.05
+2022-02-14,6.78
+2022-02-15,6.68
+2022-02-16,6.75
+2022-02-17,6.76
+2022-02-18,6.92
+2022-02-21,6.89
+2022-02-22,6.84
+2022-02-23,6.78
+2022-02-24,6.66
+2022-02-25,6.65
+2022-02-28,6.65
+2022-03-01,6.84
+2022-03-02,6.83
+2022-03-03,6.92
+2022-03-04,6.94
+2022-03-07,6.81
+2022-03-08,6.61
+2022-03-09,6.52
+2022-03-10,6.69
+2022-03-11,6.64
+2022-03-14,6.37
+2022-03-15,6.02
+2022-03-16,6.26
+2022-03-17,6.26
+2022-03-18,6.49
+2022-03-21,6.39
+2022-03-22,6.61
+2022-03-23,6.65
+2022-03-24,6.79
+2022-03-25,6.71
+2022-03-28,6.72
+2022-03-29,6.75
+2022-03-30,6.81
+2022-03-31,7.05
+2022-04-01,7.32
+2022-04-06,7.44
+2022-04-07,7.3
+",
+CN,technical,对于MACD，今世缘2024年10月21日的值是多少？（标准版：快线12，慢线26，信号线9，A股MACD柱乘2；从前104个数据开始计算，EMA初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-0.1956,easy,trend,DIF = EMA_{n_{fast}}(P) - EMA_{n_{slow}}(P)；DEA = EMA_{n_{signal}}(DIF)；MACD = (DIF - DEA) * 2,"date,close
+2024-05-16,55.93
+2024-05-17,57.6
+2024-05-20,57.18
+2024-05-21,56.64
+2024-05-22,56.01
+2024-05-23,54.44
+2024-05-24,53.36
+2024-05-27,54.13
+2024-05-28,53.13
+2024-05-29,53.45
+2024-05-30,53.1
+2024-05-31,53.04
+2024-06-03,53.0
+2024-06-04,53.4
+2024-06-05,52.82
+2024-06-06,52.43
+2024-06-07,51.72
+2024-06-11,51.27
+2024-06-12,50.43
+2024-06-13,49.65
+2024-06-14,49.54
+2024-06-17,49.05
+2024-06-18,48.48
+2024-06-19,48.01
+2024-06-20,47.55
+2024-06-21,47.66
+2024-06-24,48.27
+2024-06-25,48.19
+2024-06-26,48.54
+2024-06-27,47.45
+2024-06-28,46.2
+2024-07-01,46.37
+2024-07-02,48.08
+2024-07-03,47.95
+2024-07-04,47.8
+2024-07-05,47.22
+2024-07-08,45.59
+2024-07-09,46.24
+2024-07-10,46.16
+2024-07-11,47.86
+2024-07-12,48.25
+2024-07-15,48.15
+2024-07-16,48.05
+2024-07-17,49.75
+2024-07-18,49.86
+2024-07-19,51.03
+2024-07-22,49.17
+2024-07-23,46.55
+2024-07-24,45.63
+2024-07-25,46.4
+2024-07-26,45.8
+2024-07-29,43.3
+2024-07-30,42.66
+2024-07-31,44.2
+2024-08-01,43.11
+2024-08-02,42.95
+2024-08-05,42.98
+2024-08-06,43.65
+2024-08-07,44.18
+2024-08-08,46.3
+2024-08-09,45.54
+2024-08-12,45.14
+2024-08-13,43.9
+2024-08-14,43.22
+2024-08-15,43.18
+2024-08-16,42.99
+2024-08-19,41.72
+2024-08-20,41.21
+2024-08-21,40.81
+2024-08-22,39.39
+2024-08-23,39.2
+2024-08-26,38.06
+2024-08-27,37.55
+2024-08-28,37.4
+2024-08-29,38.02
+2024-08-30,39.16
+2024-09-02,38.57
+2024-09-03,39.22
+2024-09-04,38.91
+2024-09-05,39.03
+2024-09-06,38.61
+2024-09-09,38.06
+2024-09-10,38.12
+2024-09-11,37.68
+2024-09-12,36.67
+2024-09-13,35.59
+2024-09-18,36.06
+2024-09-19,37.4
+2024-09-20,37.62
+2024-09-23,38.27
+2024-09-24,39.82
+2024-09-25,39.0
+2024-09-26,42.9
+2024-09-27,46.85
+2024-09-30,51.54
+2024-10-08,54.53
+2024-10-09,49.08
+2024-10-10,48.51
+2024-10-11,46.28
+2024-10-14,47.64
+2024-10-15,45.8
+2024-10-16,45.28
+2024-10-17,44.25
+2024-10-18,45.49
+2024-10-21,45.93
+",
+CN,technical,计算用友网络2024年02月06日的MACD的值。（标准版：快线12，慢线26，信号线9，A股MACD柱乘2；从前104个数据开始计算，EMA初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-0.3066,easy,trend,DIF = EMA_{n_{fast}}(P) - EMA_{n_{slow}}(P)；DEA = EMA_{n_{signal}}(DIF)；MACD = (DIF - DEA) * 2,"date,close
+2023-09-04,18.1
+2023-09-05,17.88
+2023-09-06,17.84
+2023-09-07,17.32
+2023-09-08,17.12
+2023-09-11,17.36
+2023-09-12,17.51
+2023-09-13,17.02
+2023-09-14,16.8
+2023-09-15,16.89
+2023-09-18,17.09
+2023-09-19,16.73
+2023-09-20,16.6
+2023-09-21,16.39
+2023-09-22,16.86
+2023-09-25,16.32
+2023-09-26,16.44
+2023-09-27,16.54
+2023-09-28,16.62
+2023-10-09,16.88
+2023-10-10,16.76
+2023-10-11,17.3
+2023-10-12,17.24
+2023-10-13,17.0
+2023-10-16,16.59
+2023-10-17,16.71
+2023-10-18,16.32
+2023-10-19,16.03
+2023-10-20,15.36
+2023-10-23,15.27
+2023-10-24,15.37
+2023-10-25,15.48
+2023-10-26,15.68
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+2023-11-01,16.27
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+2023-11-20,17.87
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+2023-11-22,17.6
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+2024-01-02,17.4
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+2024-01-05,16.49
+2024-01-08,15.76
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+2024-01-11,14.93
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+2024-01-15,13.9
+2024-01-16,13.53
+2024-01-17,13.2
+2024-01-18,13.38
+2024-01-19,13.16
+2024-01-22,12.6
+2024-01-23,12.9
+2024-01-24,12.67
+2024-01-25,12.96
+2024-01-26,12.66
+2024-01-29,12.33
+2024-01-30,11.91
+2024-01-31,11.19
+2024-02-01,11.21
+2024-02-02,10.71
+2024-02-05,9.92
+2024-02-06,10.64
+",
+CN,technical,昆仑万维2023年05月25日的抛物线SAR的值是？（初始alpha=0.02，步长0.02，最大值0.20；从前10个数据开始计算）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,50.78,easy,trend,SAR_t = SAR_{t-1} + AF * (EP - SAR_{t-1})；EP 为当前趋势的极值点（多头取最高、空头取最低）；AF 从 initial_af 起步，每次刷新极值累加 step_af 至 max_af；趋势翻转时 SAR 取上一段 EP、AF 重置为 initial_af,"date,high,low,close
+2023-05-11,61.5,58.02,58.19
+2023-05-12,59.88,56.75,57.3
+2023-05-15,60.69,57.1,60.35
+2023-05-16,62.58,54.11,54.78
+2023-05-17,56.3,51.95,54.05
+2023-05-18,60.48,53.78,58.7
+2023-05-19,58.6,52.88,53.45
+2023-05-22,54.24,51.74,52.86
+2023-05-23,53.3,50.8,51.24
+2023-05-24,53.19,50.78,52.36
+2023-05-25,53.42,47.69,50.8
+",
+CN,technical,2023年11月21日，德业股份的抛物线SAR是多少？（初始alpha=0.02，步长0.02，最大值0.20；从前10个数据开始计算）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,74.2,easy,trend,SAR_t = SAR_{t-1} + AF * (EP - SAR_{t-1})；EP 为当前趋势的极值点（多头取最高、空头取最低）；AF 从 initial_af 起步，每次刷新极值累加 step_af 至 max_af；趋势翻转时 SAR 取上一段 EP、AF 重置为 initial_af,"date,high,low,close
+2023-11-07,74.74,72.7,74.45
+2023-11-08,75.78,73.6,74.86
+2023-11-09,76.6,74.18,75.05
+2023-11-10,74.66,73.25,73.94
+2023-11-13,75.18,73.7,74.38
+2023-11-14,74.78,72.68,73.41
+2023-11-15,76.6,74.41,74.92
+2023-11-16,74.65,72.14,72.18
+2023-11-17,73.48,71.7,72.85
+2023-11-20,74.2,71.39,72.94
+2023-11-21,73.42,70.9,71.2
+",
+CN,technical,民生银行的抛物线SAR在2024年02月01日为多少？（初始alpha=0.02，步长0.02，最大值0.20；从前10个数据开始计算）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.8198,easy,trend,SAR_t = SAR_{t-1} + AF * (EP - SAR_{t-1})；EP 为当前趋势的极值点（多头取最高、空头取最低）；AF 从 initial_af 起步，每次刷新极值累加 step_af 至 max_af；趋势翻转时 SAR 取上一段 EP、AF 重置为 initial_af,"date,high,low,close
+2024-01-18,3.82,3.65,3.75
+2024-01-19,3.78,3.7,3.77
+2024-01-22,3.81,3.72,3.74
+2024-01-23,3.76,3.69,3.74
+2024-01-24,3.84,3.75,3.83
+2024-01-25,3.89,3.83,3.88
+2024-01-26,4.0,3.89,4.0
+2024-01-29,4.03,3.95,3.98
+2024-01-30,4.01,3.93,3.96
+2024-01-31,3.98,3.91,3.95
+2024-02-01,3.96,3.89,3.92
+",
+CN,technical,对于抛物线SAR，招商轮船2020年06月09日的值是多少？（初始alpha=0.02，步长0.02，最大值0.20；从前10个数据开始计算）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,5.94,easy,trend,SAR_t = SAR_{t-1} + AF * (EP - SAR_{t-1})；EP 为当前趋势的极值点（多头取最高、空头取最低）；AF 从 initial_af 起步，每次刷新极值累加 step_af 至 max_af；趋势翻转时 SAR 取上一段 EP、AF 重置为 initial_af,"date,high,low,close
+2020-05-26,5.83,5.69,5.82
+2020-05-27,5.8,5.64,5.7
+2020-05-28,6.05,5.8,5.88
+2020-05-29,5.92,5.72,5.92
+2020-06-01,6.05,5.88,6.0
+2020-06-02,6.05,5.93,5.99
+2020-06-03,6.01,5.88,5.9
+2020-06-04,5.97,5.75,5.8
+2020-06-05,5.88,5.76,5.85
+2020-06-08,5.94,5.83,5.86
+2020-06-09,6.19,5.9,6.13
+",
+CN,technical,计算中信特钢2020年04月17日的抛物线SAR的值。（初始alpha=0.02，步长0.02，最大值0.20；从前10个数据开始计算）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,26.0379,easy,trend,SAR_t = SAR_{t-1} + AF * (EP - SAR_{t-1})；EP 为当前趋势的极值点（多头取最高、空头取最低）；AF 从 initial_af 起步，每次刷新极值累加 step_af 至 max_af；趋势翻转时 SAR 取上一段 EP、AF 重置为 initial_af,"date,high,low,close
+2020-04-02,25.7,24.73,25.68
+2020-04-03,26.8,25.63,26.51
+2020-04-07,27.26,26.67,27.13
+2020-04-08,27.5,26.9,27.33
+2020-04-09,27.65,27.15,27.21
+2020-04-10,27.45,26.62,26.69
+2020-04-13,26.95,26.54,26.74
+2020-04-14,27.43,26.75,27.25
+2020-04-15,27.38,26.74,26.75
+2020-04-16,27.0,26.33,26.79
+2020-04-17,27.11,26.62,26.78
+",
+CN,technical,青岛港2024年07月23日的随机RSI的值是？（标准版：周期14；从前27个数据开始计算）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0,easy,momentum,"RSI_t = 100 - 100 / (1 + SMA(Gain, n) / SMA(Loss, n))；StochRSI_t = (RSI_t - min_{i=0}^{k-1} RSI_{t-i}) / (max_{i=0}^{k-1} RSI_{t-i} - min_{i=0}^{k-1} RSI_{t-i})","date,close
+2024-06-11,8.5
+2024-06-12,8.58
+2024-06-13,8.58
+2024-06-14,8.74
+2024-06-17,8.81
+2024-06-18,9.03
+2024-06-19,8.98
+2024-06-20,9.32
+2024-06-21,9.34
+2024-06-24,9.2
+2024-06-25,9.25
+2024-06-26,9.24
+2024-06-27,9.31
+2024-06-28,9.56
+2024-07-01,9.67
+2024-07-02,9.64
+2024-07-03,9.6
+2024-07-04,9.7
+2024-07-05,9.66
+2024-07-08,9.61
+2024-07-09,9.89
+2024-07-15,9.43
+2024-07-16,9.5
+2024-07-17,9.22
+2024-07-18,9.43
+2024-07-19,9.32
+2024-07-22,9.31
+2024-07-23,9.35
+",
+CN,technical,2025年04月18日，潞安环能的随机RSI是多少？（标准版：周期14；从前27个数据开始计算）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.5078,easy,momentum,"RSI_t = 100 - 100 / (1 + SMA(Gain, n) / SMA(Loss, n))；StochRSI_t = (RSI_t - min_{i=0}^{k-1} RSI_{t-i}) / (max_{i=0}^{k-1} RSI_{t-i} - min_{i=0}^{k-1} RSI_{t-i})","date,close
+2025-03-11,12.2
+2025-03-12,12.2
+2025-03-13,12.76
+2025-03-14,12.68
+2025-03-17,12.76
+2025-03-18,12.65
+2025-03-19,12.58
+2025-03-20,12.49
+2025-03-21,12.51
+2025-03-24,12.4
+2025-03-25,12.6
+2025-03-26,12.73
+2025-03-27,12.5
+2025-03-28,12.17
+2025-03-31,12.03
+2025-04-01,12.27
+2025-04-02,12.24
+2025-04-03,12.27
+2025-04-07,11.15
+2025-04-08,11.61
+2025-04-09,11.56
+2025-04-10,11.64
+2025-04-11,11.54
+2025-04-14,11.78
+2025-04-15,11.61
+2025-04-16,11.59
+2025-04-17,11.56
+2025-04-18,11.42
+",
+CN,technical,中泰证券的随机RSI在2025年11月04日为多少？（标准版：周期14；从前27个数据开始计算）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0,easy,momentum,"RSI_t = 100 - 100 / (1 + SMA(Gain, n) / SMA(Loss, n))；StochRSI_t = (RSI_t - min_{i=0}^{k-1} RSI_{t-i}) / (max_{i=0}^{k-1} RSI_{t-i} - min_{i=0}^{k-1} RSI_{t-i})","date,close
+2025-09-18,6.88
+2025-09-19,6.82
+2025-09-22,6.83
+2025-09-23,6.75
+2025-09-24,6.87
+2025-09-25,6.8
+2025-09-26,6.81
+2025-09-29,7.03
+2025-09-30,6.95
+2025-10-09,7.15
+2025-10-10,7.14
+2025-10-13,7.1
+2025-10-14,7.07
+2025-10-15,7.07
+2025-10-16,7.02
+2025-10-17,6.86
+2025-10-20,6.87
+2025-10-21,6.91
+2025-10-22,6.88
+2025-10-23,6.92
+2025-10-24,6.95
+2025-10-27,6.99
+2025-10-28,6.96
+2025-10-29,7.06
+2025-10-30,6.99
+2025-10-31,6.98
+2025-11-03,6.92
+2025-11-04,6.89
+",
+CN,technical,对于随机RSI，四川路桥2025年01月14日的值是多少？（标准版：周期14；从前27个数据开始计算）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.5317,easy,momentum,"RSI_t = 100 - 100 / (1 + SMA(Gain, n) / SMA(Loss, n))；StochRSI_t = (RSI_t - min_{i=0}^{k-1} RSI_{t-i}) / (max_{i=0}^{k-1} RSI_{t-i} - min_{i=0}^{k-1} RSI_{t-i})","date,close
+2024-12-05,7.61
+2024-12-06,7.72
+2024-12-09,7.71
+2024-12-10,7.65
+2024-12-11,7.62
+2024-12-12,7.56
+2024-12-13,7.4
+2024-12-16,7.38
+2024-12-17,7.41
+2024-12-18,7.44
+2024-12-19,7.54
+2024-12-20,7.55
+2024-12-23,7.43
+2024-12-24,7.48
+2024-12-25,7.37
+2024-12-26,7.3
+2024-12-27,7.29
+2024-12-30,7.34
+2024-12-31,7.28
+2025-01-02,7.13
+2025-01-03,7.08
+2025-01-06,7.24
+2025-01-07,7.21
+2025-01-08,7.36
+2025-01-09,7.3
+2025-01-10,7.08
+2025-01-13,7.08
+2025-01-14,7.16
+",
+CN,technical,计算洋河股份2024年12月05日的随机RSI的值。（标准版：周期14；从前27个数据开始计算）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.2712,easy,momentum,"RSI_t = 100 - 100 / (1 + SMA(Gain, n) / SMA(Loss, n))；StochRSI_t = (RSI_t - min_{i=0}^{k-1} RSI_{t-i}) / (max_{i=0}^{k-1} RSI_{t-i} - min_{i=0}^{k-1} RSI_{t-i})","date,close
+2024-10-29,85.38
+2024-10-30,84.63
+2024-10-31,80.39
+2024-11-01,80.52
+2024-11-04,82.67
+2024-11-05,86.15
+2024-11-06,87.91
+2024-11-07,93.95
+2024-11-08,91.85
+2024-11-11,89.95
+2024-11-12,89.23
+2024-11-13,89.32
+2024-11-14,89.96
+2024-11-15,89.45
+2024-11-18,87.53
+2024-11-19,87.2
+2024-11-20,87.36
+2024-11-21,87.16
+2024-11-22,84.5
+2024-11-25,84.25
+2024-11-26,84.42
+2024-11-27,85.43
+2024-11-28,85.09
+2024-11-29,85.75
+2024-12-02,86.94
+2024-12-03,86.4
+2024-12-04,85.46
+2024-12-05,85.12
+",
+CN,technical,正泰电器2022年08月10日的百分比价格振荡的值是？（标准版：快线12，慢线26；从前104个数据开始计算，EMA初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-1.4733,easy,trend,PPO = (EMA_{n_{fast}}(P) - EMA_{n_{slow}}(P)) / EMA_{n_{slow}}(P) * 100,"date,close
+2022-03-09,45.98
+2022-03-10,46.3
+2022-03-11,45.5
+2022-03-14,43.55
+2022-03-15,42.48
+2022-03-16,43.28
+2022-03-17,42.99
+2022-03-18,42.0
+2022-03-21,43.83
+2022-03-22,43.88
+2022-03-23,44.28
+2022-03-24,42.97
+2022-03-25,40.87
+2022-03-28,40.06
+2022-03-29,38.63
+2022-03-30,41.25
+2022-03-31,39.58
+2022-04-01,39.37
+2022-04-06,38.3
+2022-04-07,37.44
+2022-04-08,36.65
+2022-04-11,35.06
+2022-04-12,34.31
+2022-04-13,33.34
+2022-04-14,32.6
+2022-04-15,33.49
+2022-04-18,35.41
+2022-04-19,34.74
+2022-04-20,33.74
+2022-04-21,32.35
+2022-04-22,31.69
+2022-04-25,29.39
+2022-04-26,28.47
+2022-04-27,30.0
+2022-04-28,31.0
+2022-04-29,32.69
+2022-05-05,33.21
+2022-05-06,32.17
+2022-05-09,32.75
+2022-05-10,33.59
+2022-05-11,35.24
+2022-05-12,35.21
+2022-05-13,34.81
+2022-05-16,33.98
+2022-05-17,34.99
+2022-05-18,35.45
+2022-05-19,36.26
+2022-05-20,35.62
+2022-05-23,35.65
+2022-05-24,34.38
+2022-05-25,34.95
+2022-05-26,34.9
+2022-05-27,34.16
+2022-05-30,34.1
+2022-05-31,36.67
+2022-06-01,36.2
+2022-06-02,36.89
+2022-06-06,37.94
+2022-06-07,37.44
+2022-06-08,36.1
+2022-06-09,35.0
+2022-06-10,35.28
+2022-06-13,35.55
+2022-06-14,33.99
+2022-06-15,33.97
+2022-06-16,34.19
+2022-06-17,35.24
+2022-06-20,36.13
+2022-06-21,35.86
+2022-06-22,35.33
+2022-06-23,37.2
+2022-06-24,37.28
+2022-06-27,37.17
+2022-06-28,37.29
+2022-06-29,35.34
+2022-06-30,35.78
+2022-07-01,35.31
+2022-07-04,36.26
+2022-07-05,38.1
+2022-07-06,38.0
+2022-07-07,37.52
+2022-07-08,36.64
+2022-07-11,34.8
+2022-07-12,33.88
+2022-07-13,34.39
+2022-07-14,37.83
+2022-07-15,39.95
+2022-07-18,40.4
+2022-07-19,39.24
+2022-07-20,39.1
+2022-07-21,38.1
+2022-07-22,37.5
+2022-07-25,36.58
+2022-07-26,36.95
+2022-07-27,37.88
+2022-07-28,36.53
+2022-07-29,36.7
+2022-08-01,35.95
+2022-08-02,34.34
+2022-08-03,33.77
+2022-08-04,34.06
+2022-08-05,35.07
+2022-08-08,35.3
+2022-08-09,35.07
+2022-08-10,34.86
+",
+CN,technical,2022年02月23日，交通银行的百分比价格振荡是多少？（标准版：快线12，慢线26；从前104个数据开始计算，EMA初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.2575,easy,trend,PPO = (EMA_{n_{fast}}(P) - EMA_{n_{slow}}(P)) / EMA_{n_{slow}}(P) * 100,"date,close
+2021-09-13,4.61
+2021-09-14,4.54
+2021-09-15,4.54
+2021-09-16,4.51
+2021-09-17,4.5
+2021-09-22,4.45
+2021-09-23,4.5
+2021-09-24,4.48
+2021-09-27,4.46
+2021-09-28,4.49
+2021-09-29,4.49
+2021-09-30,4.5
+2021-10-08,4.55
+2021-10-11,4.57
+2021-10-12,4.57
+2021-10-13,4.56
+2021-10-14,4.54
+2021-10-15,4.55
+2021-10-18,4.52
+2021-10-19,4.53
+2021-10-20,4.52
+2021-10-21,4.56
+2021-10-22,4.55
+2021-10-25,4.56
+2021-10-26,4.54
+2021-10-27,4.52
+2021-10-28,4.51
+2021-10-29,4.52
+2021-11-01,4.69
+2021-11-02,4.56
+2021-11-03,4.57
+2021-11-04,4.6
+2021-11-05,4.62
+2021-11-08,4.63
+2021-11-09,4.63
+2021-11-10,4.59
+2021-11-11,4.66
+2021-11-12,4.63
+2021-11-15,4.66
+2021-11-16,4.65
+2021-11-17,4.63
+2021-11-18,4.61
+2021-11-19,4.65
+2021-11-22,4.63
+2021-11-23,4.64
+2021-11-24,4.63
+2021-11-25,4.62
+2021-11-26,4.59
+2021-11-29,4.58
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+2021-12-01,4.6
+2021-12-02,4.61
+2021-12-03,4.62
+2021-12-06,4.62
+2021-12-07,4.64
+2021-12-08,4.61
+2021-12-09,4.63
+2021-12-10,4.61
+2021-12-13,4.57
+2021-12-14,4.54
+2021-12-15,4.52
+2021-12-16,4.54
+2021-12-17,4.53
+2021-12-20,4.53
+2021-12-21,4.55
+2021-12-22,4.54
+2021-12-23,4.55
+2021-12-24,4.55
+2021-12-27,4.57
+2021-12-28,4.58
+2021-12-29,4.59
+2021-12-30,4.6
+2021-12-31,4.61
+2022-01-04,4.62
+2022-01-05,4.66
+2022-01-06,4.65
+2022-01-07,4.73
+2022-01-10,4.75
+2022-01-11,4.78
+2022-01-12,4.76
+2022-01-13,4.81
+2022-01-14,4.73
+2022-01-17,4.7
+2022-01-18,4.8
+2022-01-19,4.8
+2022-01-20,4.83
+2022-01-21,4.81
+2022-01-24,4.78
+2022-01-25,4.74
+2022-01-26,4.82
+2022-01-27,4.79
+2022-01-28,4.74
+2022-02-07,4.87
+2022-02-08,4.94
+2022-02-09,4.92
+2022-02-10,4.98
+2022-02-11,5.01
+2022-02-14,4.92
+2022-02-15,4.88
+2022-02-16,4.94
+2022-02-17,4.93
+2022-02-18,4.99
+2022-02-21,4.97
+2022-02-22,4.95
+2022-02-23,4.91
+",
+CN,technical,同花顺的百分比价格振荡在2025年12月17日为多少？（标准版：快线12，慢线26；从前104个数据开始计算，EMA初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-2.1888,easy,trend,PPO = (EMA_{n_{fast}}(P) - EMA_{n_{slow}}(P)) / EMA_{n_{slow}}(P) * 100,"date,close
+2025-07-16,275.01
+2025-07-17,275.0
+2025-07-18,275.09
+2025-07-21,276.95
+2025-07-22,282.52
+2025-07-23,287.51
+2025-07-24,294.47
+2025-07-25,289.12
+2025-07-28,292.19
+2025-07-29,294.2
+2025-07-30,292.77
+2025-07-31,283.6
+2025-08-01,290.9
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+2025-08-05,293.27
+2025-08-06,292.7
+2025-08-07,291.74
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+2025-08-12,318.05
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+2025-08-18,404.9
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+2025-08-20,386.5
+2025-08-21,380.56
+2025-08-22,400.82
+2025-08-25,398.35
+2025-08-26,402.0
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+2025-08-28,407.2
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+2025-12-12,316.94
+2025-12-15,309.0
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+",
+CN,technical,对于百分比价格振荡，中微公司2020年04月21日的值是多少？（标准版：快线12，慢线26；从前104个数据开始计算，EMA初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-0.4542,easy,trend,PPO = (EMA_{n_{fast}}(P) - EMA_{n_{slow}}(P)) / EMA_{n_{slow}}(P) * 100,"date,close
+2019-11-15,70.4
+2019-11-18,69.98
+2019-11-19,72.45
+2019-11-20,71.8
+2019-11-21,70.78
+2019-11-22,68.57
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+2019-12-16,83.3
+2019-12-17,83.32
+2019-12-18,84.16
+2019-12-19,79.9
+2019-12-20,79.02
+2019-12-23,75.41
+2019-12-24,79.1
+2019-12-25,89.0
+2019-12-26,91.4
+2019-12-27,95.0
+2019-12-30,93.31
+2019-12-31,92.4
+2020-01-02,103.85
+2020-01-03,103.96
+2020-01-06,103.06
+2020-01-07,107.0
+2020-01-08,117.97
+2020-01-09,118.08
+2020-01-10,115.5
+2020-01-13,134.0
+2020-01-14,135.01
+2020-01-15,147.0
+2020-01-16,171.01
+2020-01-17,196.01
+2020-01-20,177.61
+2020-01-21,170.55
+2020-01-22,200.9
+2020-01-23,183.38
+2020-02-03,150.3
+2020-02-04,177.66
+2020-02-05,179.21
+2020-02-06,183.0
+2020-02-07,195.66
+2020-02-10,193.11
+2020-02-11,204.0
+2020-02-12,205.6
+2020-02-13,216.0
+2020-02-14,205.1
+2020-02-17,205.48
+2020-02-18,210.0
+2020-02-19,203.07
+2020-02-20,192.4
+2020-02-21,192.99
+2020-02-24,197.33
+2020-02-25,216.25
+2020-02-26,195.0
+2020-02-27,180.21
+2020-02-28,161.6
+2020-03-02,160.0
+2020-03-03,165.89
+2020-03-04,154.3
+2020-03-05,158.31
+2020-03-06,152.73
+2020-03-09,140.12
+2020-03-10,156.6
+2020-03-11,149.45
+2020-03-12,151.35
+2020-03-13,165.93
+2020-03-16,168.0
+2020-03-17,174.24
+2020-03-18,163.03
+2020-03-19,165.3
+2020-03-20,160.57
+2020-03-23,138.18
+2020-03-24,142.0
+2020-03-25,144.8
+2020-03-26,140.03
+2020-03-27,140.42
+2020-03-30,136.81
+2020-03-31,137.8
+2020-04-01,139.0
+2020-04-02,151.2
+2020-04-03,146.5
+2020-04-07,149.63
+2020-04-08,148.8
+2020-04-09,145.75
+2020-04-10,137.38
+2020-04-13,137.2
+2020-04-14,141.6
+2020-04-15,150.86
+2020-04-16,152.86
+2020-04-17,161.0
+2020-04-20,161.13
+2020-04-21,154.0
+",
+CN,technical,计算中远海能2021年06月16日的百分比价格振荡的值。（标准版：快线12，慢线26；从前104个数据开始计算，EMA初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-1.0036,easy,trend,PPO = (EMA_{n_{fast}}(P) - EMA_{n_{slow}}(P)) / EMA_{n_{slow}}(P) * 100,"date,close
+2021-01-07,6.93
+2021-01-08,6.99
+2021-01-11,6.7
+2021-01-12,6.93
+2021-01-13,7.34
+2021-01-14,7.26
+2021-01-15,7.06
+2021-01-18,7.33
+2021-01-19,7.14
+2021-01-20,7.04
+2021-01-21,7.09
+2021-01-22,7.22
+2021-01-25,7.06
+2021-01-26,7.18
+2021-01-27,7.03
+2021-01-28,6.5
+2021-01-29,6.36
+2021-02-01,6.3
+2021-02-02,6.31
+2021-02-03,6.18
+2021-02-04,6.03
+2021-02-05,6.05
+2021-02-08,6.07
+2021-02-09,6.23
+2021-02-10,6.17
+2021-02-18,6.41
+2021-02-19,6.5
+2021-02-22,6.57
+2021-02-23,6.45
+2021-02-24,6.48
+2021-02-25,6.52
+2021-02-26,6.33
+2021-03-01,6.33
+2021-03-02,6.25
+2021-03-03,6.35
+2021-03-04,6.48
+2021-03-05,6.52
+2021-03-08,6.45
+2021-03-09,6.67
+2021-03-10,6.45
+2021-03-11,6.68
+2021-03-12,6.61
+2021-03-15,6.64
+2021-03-16,6.61
+2021-03-17,6.69
+2021-03-18,6.65
+2021-03-19,6.6
+2021-03-22,6.63
+2021-03-23,6.48
+2021-03-24,6.33
+2021-03-25,6.37
+2021-03-26,6.41
+2021-03-29,6.46
+2021-03-30,6.47
+2021-03-31,6.64
+2021-04-01,6.58
+2021-04-02,6.46
+2021-04-06,6.43
+2021-04-07,7.0
+2021-04-08,6.62
+2021-04-09,6.63
+2021-04-12,6.48
+2021-04-13,6.45
+2021-04-14,6.47
+2021-04-15,6.39
+2021-04-16,6.51
+2021-04-19,6.51
+2021-04-20,6.45
+2021-04-21,6.34
+2021-04-22,6.36
+2021-04-23,6.29
+2021-04-26,6.24
+2021-04-27,6.29
+2021-04-28,6.25
+2021-04-29,6.34
+2021-04-30,6.09
+2021-05-06,6.18
+2021-05-07,6.3
+2021-05-10,6.38
+2021-05-11,6.32
+2021-05-12,6.31
+2021-05-13,6.26
+2021-05-14,6.27
+2021-05-17,6.31
+2021-05-18,6.28
+2021-05-19,6.24
+2021-05-20,6.13
+2021-05-21,6.23
+2021-05-24,6.18
+2021-05-25,6.2
+2021-05-26,6.2
+2021-05-27,6.14
+2021-05-28,6.18
+2021-05-31,6.11
+2021-06-01,6.13
+2021-06-02,6.14
+2021-06-03,6.11
+2021-06-04,6.07
+2021-06-07,6.07
+2021-06-08,6.07
+2021-06-09,6.04
+2021-06-10,6.22
+2021-06-11,6.13
+2021-06-15,6.06
+2021-06-16,5.99
+",
+CN,technical,传音控股2023年08月01日的真实波幅的值是？使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,7.05,easy,volatility,"TR_t = max(H_t - L_t, |H_t - C_{t-1}|, |L_t - C_{t-1}|)","date,high,low,close
+2023-07-31,124.18,120.68,122.73
+2023-08-01,128.05,121.0,127.13
+",
+CN,technical,2023年02月16日，东方盛虹的真实波幅是多少？使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.75,easy,volatility,"TR_t = max(H_t - L_t, |H_t - C_{t-1}|, |L_t - C_{t-1}|)","date,high,low,close
+2023-02-15,16.29,15.69,15.78
+2023-02-16,15.84,15.09,15.26
+",
+CN,technical,润泽科技的真实波幅在2021年12月31日为多少？使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.58,easy,volatility,"TR_t = max(H_t - L_t, |H_t - C_{t-1}|, |L_t - C_{t-1}|)","date,high,low,close
+2021-12-30,44.3,43.2,43.45
+2021-12-31,43.48,41.9,42.86
+",
+CN,technical,对于真实波幅，招商轮船2020年02月28日的值是多少？使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.3,easy,volatility,"TR_t = max(H_t - L_t, |H_t - C_{t-1}|, |L_t - C_{t-1}|)","date,high,low,close
+2020-02-27,5.46,5.3,5.33
+2020-02-28,5.26,5.03,5.06
+",
+CN,technical,计算中国交建2023年02月22日的真实波幅的值。使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.28,easy,volatility,"TR_t = max(H_t - L_t, |H_t - C_{t-1}|, |L_t - C_{t-1}|)","date,high,low,close
+2023-02-21,9.38,9.15,9.3
+2023-02-22,9.5,9.22,9.38
+",
+CN,technical,"华泰证券2024年10月30日的蔡金波动率的值是？（标准版：参数 (10, 10)；从前50个数据开始计算，EMA初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",-0.3914,easy,volatility,HL_EMA_t = EMA_n(H - L)；ChaikinVol_t = HL_EMA_t / HL_EMA_{t-m} - 1,"date,high,low
+2024-08-12,12.98,12.83
+2024-08-13,12.92,12.74
+2024-08-14,12.93,12.77
+2024-08-15,13.05,12.73
+2024-08-16,12.59,12.43
+2024-08-19,12.63,12.45
+2024-08-20,12.59,12.44
+2024-08-21,12.58,12.37
+2024-08-22,12.49,12.2
+2024-08-23,12.49,12.2
+2024-08-26,12.54,12.41
+2024-08-27,12.49,12.3
+2024-08-28,12.4,12.25
+2024-08-29,12.53,12.34
+2024-08-30,12.76,12.35
+2024-09-02,12.74,12.42
+2024-09-03,12.57,12.34
+2024-09-04,12.52,12.37
+2024-09-05,12.63,12.38
+2024-09-06,13.05,12.75
+2024-09-09,12.95,12.73
+2024-09-10,12.88,12.67
+2024-09-11,13.0,12.76
+2024-09-12,12.97,12.82
+2024-09-13,13.0,12.8
+2024-09-18,12.9,12.71
+2024-09-19,13.22,12.79
+2024-09-20,13.06,12.94
+2024-09-23,13.16,12.96
+2024-09-24,13.77,13.11
+2024-09-25,14.46,14.0
+2024-09-26,14.73,14.01
+2024-09-27,16.0,14.85
+2024-09-30,17.6,16.89
+2024-10-08,19.36,18.9
+2024-10-09,19.9,17.79
+2024-10-10,18.38,16.86
+2024-10-11,17.5,16.83
+2024-10-14,17.19,16.48
+2024-10-15,17.04,16.27
+2024-10-16,16.71,16.0
+2024-10-17,17.07,16.33
+2024-10-18,18.15,16.33
+2024-10-21,17.49,16.96
+2024-10-22,17.52,17.19
+2024-10-23,17.64,17.29
+2024-10-24,17.37,17.09
+2024-10-25,17.38,17.09
+2024-10-28,17.34,17.07
+2024-10-29,17.62,17.15
+2024-10-30,17.57,17.11
+",
+CN,technical,"2025年02月25日，恒立液压的蔡金波动率是多少？（标准版：参数 (10, 10)；从前50个数据开始计算，EMA初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",0.782,easy,volatility,HL_EMA_t = EMA_n(H - L)；ChaikinVol_t = HL_EMA_t / HL_EMA_{t-m} - 1,"date,high,low
+2024-12-06,55.38,52.88
+2024-12-09,58.65,54.81
+2024-12-10,59.63,57.6
+2024-12-11,61.35,57.0
+2024-12-12,57.33,56.01
+2024-12-13,56.7,54.68
+2024-12-16,55.41,53.31
+2024-12-17,54.17,53.02
+2024-12-18,54.08,52.89
+2024-12-19,53.31,52.11
+2024-12-20,53.49,52.54
+2024-12-23,53.96,52.24
+2024-12-24,52.7,51.86
+2024-12-25,52.8,52.0
+2024-12-26,54.21,52.05
+2024-12-27,54.18,52.72
+2024-12-30,54.1,52.71
+2024-12-31,53.74,52.52
+2025-01-02,53.25,51.05
+2025-01-03,51.72,50.03
+2025-01-06,50.55,49.82
+2025-01-07,50.68,49.89
+2025-01-08,51.11,49.7
+2025-01-09,52.39,50.16
+2025-01-10,54.09,51.49
+2025-01-13,53.07,51.71
+2025-01-14,54.98,51.16
+2025-01-15,55.25,53.63
+2025-01-16,59.65,59.11
+2025-01-17,63.28,59.0
+2025-01-20,65.88,61.4
+2025-01-21,65.66,61.25
+2025-01-22,66.0,63.0
+2025-01-23,64.29,61.7
+2025-01-24,63.89,61.2
+2025-01-27,63.48,62.09
+2025-02-05,64.95,62.14
+2025-02-06,68.82,62.82
+2025-02-07,68.5,65.57
+2025-02-10,66.13,63.98
+2025-02-11,66.3,64.15
+2025-02-12,66.71,64.51
+2025-02-13,65.89,62.84
+2025-02-14,69.25,63.0
+2025-02-17,72.1,68.95
+2025-02-18,75.49,69.3
+2025-02-19,78.91,70.99
+2025-02-20,86.8,78.18
+2025-02-21,85.72,80.45
+2025-02-24,85.06,80.66
+2025-02-25,82.7,78.1
+",
+CN,technical,"格力电器的蔡金波动率在2025年04月28日为多少？（标准版：参数 (10, 10)；从前50个数据开始计算，EMA初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",-0.3429,easy,volatility,HL_EMA_t = EMA_n(H - L)；ChaikinVol_t = HL_EMA_t / HL_EMA_{t-m} - 1,"date,high,low
+2025-02-14,44.27,43.7
+2025-02-17,43.99,43.28
+2025-02-18,43.59,42.93
+2025-02-19,43.09,41.76
+2025-02-20,41.98,41.33
+2025-02-21,41.84,40.84
+2025-02-24,41.58,40.9
+2025-02-25,41.19,40.4
+2025-02-26,41.06,40.5
+2025-02-27,41.61,40.94
+2025-02-28,41.87,40.81
+2025-03-03,41.02,40.45
+2025-03-04,42.45,41.58
+2025-03-05,42.2,41.44
+2025-03-06,42.2,41.69
+2025-03-07,42.22,41.74
+2025-03-10,42.25,41.55
+2025-03-11,42.51,41.86
+2025-03-12,42.4,41.93
+2025-03-13,42.92,42.02
+2025-03-14,43.4,42.54
+2025-03-17,43.57,43.08
+2025-03-18,44.16,43.22
+2025-03-19,43.9,43.33
+2025-03-20,43.66,42.69
+2025-03-21,43.86,42.79
+2025-03-24,45.29,44.17
+2025-03-25,45.6,44.9
+2025-03-26,45.36,44.55
+2025-03-27,45.42,44.8
+2025-03-28,45.54,44.97
+2025-03-31,46.23,45.2
+2025-04-01,45.5,44.8
+2025-04-02,46.0,45.0
+2025-04-03,45.4,44.55
+2025-04-07,44.68,42.2
+2025-04-08,44.69,42.91
+2025-04-09,45.2,43.83
+2025-04-10,44.95,44.25
+2025-04-11,45.12,44.13
+2025-04-14,45.15,43.6
+2025-04-15,44.97,43.56
+2025-04-16,45.37,44.48
+2025-04-17,45.13,44.62
+2025-04-18,45.5,44.73
+2025-04-21,45.4,44.91
+2025-04-22,45.99,45.03
+2025-04-23,45.75,45.15
+2025-04-24,45.54,45.0
+2025-04-25,45.53,45.09
+2025-04-28,47.3,46.25
+",
+CN,technical,"对于蔡金波动率，国信证券2023年04月14日的值是多少？（标准版：参数 (10, 10)；从前50个数据开始计算，EMA初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",-0.0784,easy,volatility,HL_EMA_t = EMA_n(H - L)；ChaikinVol_t = HL_EMA_t / HL_EMA_{t-m} - 1,"date,high,low
+2023-02-02,9.88,9.56
+2023-02-03,9.65,9.49
+2023-02-06,9.6,9.49
+2023-02-07,9.68,9.43
+2023-02-08,9.53,9.36
+2023-02-09,9.53,9.37
+2023-02-10,9.52,9.43
+2023-02-13,9.51,9.41
+2023-02-14,9.54,9.44
+2023-02-15,9.5,9.37
+2023-02-16,9.56,9.28
+2023-02-17,9.39,9.23
+2023-02-20,9.53,9.31
+2023-02-21,9.66,9.46
+2023-02-22,9.71,9.58
+2023-02-23,9.74,9.6
+2023-02-24,9.79,9.58
+2023-02-27,9.65,9.5
+2023-02-28,9.68,9.53
+2023-03-01,9.89,9.61
+2023-03-02,9.9,9.81
+2023-03-03,9.87,9.72
+2023-03-06,9.83,9.66
+2023-03-07,9.75,9.54
+2023-03-08,9.56,9.46
+2023-03-09,9.55,9.46
+2023-03-10,9.48,9.33
+2023-03-13,9.4,9.28
+2023-03-14,9.35,9.2
+2023-03-15,9.38,9.3
+2023-03-16,9.35,9.25
+2023-03-17,9.47,9.34
+2023-03-20,9.47,9.34
+2023-03-21,9.51,9.38
+2023-03-22,9.48,9.41
+2023-03-23,9.58,9.4
+2023-03-24,9.61,9.49
+2023-03-27,9.55,9.42
+2023-03-28,9.55,9.45
+2023-03-29,9.53,9.37
+2023-03-30,9.43,9.28
+2023-03-31,9.44,9.34
+2023-04-03,9.59,9.35
+2023-04-04,9.65,9.51
+2023-04-06,9.61,9.51
+2023-04-07,9.64,9.52
+2023-04-10,9.68,9.52
+2023-04-11,9.72,9.57
+2023-04-12,9.64,9.55
+2023-04-13,9.67,9.56
+2023-04-14,9.66,9.56
+",
+CN,technical,"计算星宇股份2025年06月26日的蔡金波动率的值。（标准版：参数 (10, 10)；从前50个数据开始计算，EMA初始值用��个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",0.1429,easy,volatility,HL_EMA_t = EMA_n(H - L)；ChaikinVol_t = HL_EMA_t / HL_EMA_{t-m} - 1,"date,high,low
+2025-04-11,127.49,124.01
+2025-04-14,131.37,125.92
+2025-04-15,128.0,124.31
+2025-04-16,124.8,121.4
+2025-04-17,122.84,121.03
+2025-04-18,123.63,121.3
+2025-04-21,126.34,122.4
+2025-04-22,126.5,124.88
+2025-04-23,128.0,124.6
+2025-04-24,127.88,125.69
+2025-04-25,127.5,126.13
+2025-04-28,128.45,125.01
+2025-04-29,130.8,126.32
+2025-04-30,132.9,126.47
+2025-05-06,137.48,131.95
+2025-05-07,137.5,134.04
+2025-05-08,136.0,132.8
+2025-05-09,135.6,133.38
+2025-05-12,137.2,133.0
+2025-05-13,138.0,134.05
+2025-05-14,139.49,133.5
+2025-05-15,139.48,136.88
+2025-05-16,139.83,137.52
+2025-05-19,142.86,137.11
+2025-05-20,141.0,136.88
+2025-05-21,141.98,139.26
+2025-05-22,141.91,139.5
+2025-05-23,141.73,139.51
+2025-05-26,141.37,139.22
+2025-05-27,142.66,138.0
+2025-05-28,141.5,137.82
+2025-05-29,143.0,139.55
+2025-05-30,141.97,139.1
+2025-06-03,141.25,138.5
+2025-06-04,140.31,138.01
+2025-06-05,139.68,137.8
+2025-06-06,141.45,138.8
+2025-06-09,139.76,135.2
+2025-06-10,138.35,135.85
+2025-06-11,140.9,137.65
+2025-06-12,139.7,137.7
+2025-06-13,139.25,135.5
+2025-06-16,137.49,132.38
+2025-06-17,135.29,131.01
+2025-06-18,132.82,128.92
+2025-06-19,131.38,127.48
+2025-06-20,127.95,126.18
+2025-06-23,126.81,123.75
+2025-06-24,127.42,124.27
+2025-06-25,127.3,124.8
+2025-06-26,127.77,123.81
+",
+CN,technical,中国通号2024年03月14日的成交量加权平均价的值是？（直接使用 amount 计算）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,5.2808,easy,volume,VWAP_t = amount_t / V_t,"date,amount,volume
+2024-03-14,227373292.0,43056443.0
+",
+CN,technical,2023年08月08日，上海医药的成交量加权平均价是多少？（直接使用 amount 计算）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,19.3907,easy,volume,VWAP_t = amount_t / V_t,"date,amount,volume
+2023-08-08,222050714.0,11451418.0
+",
+CN,technical,天齐锂业的成交量加权平均价在2021年01月21日为多少？（直接使用 amount 计算）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,61.7152,easy,volume,VWAP_t = amount_t / V_t,"date,amount,volume
+2021-01-21,7302703044.0,118329014.0
+",
+CN,technical,对于成交量加权平均价，立讯精密2023年07月12日的值是多少？（直接使用 amount 计算）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,33.0305,easy,volume,VWAP_t = amount_t / V_t,"date,amount,volume
+2023-07-12,1383017985.0,41870909.0
+",
+CN,technical,计算恒瑞医药2022年11月03日的成交量加权平均价的值。（直接使用 amount 计算）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,41.6959,easy,volume,VWAP_t = amount_t / V_t,"date,amount,volume
+2022-11-03,2126220579.0,50993469.0
+",
+CN,technical,天赐材料2022年04月12日的能量潮的值是？（从前60个数据开始计算）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-861932.0,easy,volume,OBV_t = OBV_{t-1} + sign(C_t - C_{t-1}) * V_t = \sum_{i=1}^{t} sign(C_i - C_{i-1}) * V_i,"date,close,volume
+2022-01-07,105.45,15798037.0
+2022-01-10,103.44,14626217.0
+2022-01-11,101.0,14348373.0
+2022-01-12,105.2,17333476.0
+2022-01-13,102.96,10373325.0
+2022-01-14,105.33,12717682.0
+2022-01-17,106.57,14361657.0
+2022-01-18,99.35,38632556.0
+2022-01-19,95.23,23991236.0
+2022-01-20,95.74,15923025.0
+2022-01-21,97.66,14655989.0
+2022-01-24,101.0,14379200.0
+2022-01-25,98.86,10822838.0
+2022-01-26,98.08,7455781.0
+2022-01-27,97.08,12343991.0
+2022-01-28,94.22,12166612.0
+2022-02-07,97.15,12003713.0
+2022-02-08,91.84,13031040.0
+2022-02-09,91.98,12716872.0
+2022-02-10,89.5,10459049.0
+2022-02-11,87.0,15410568.0
+2022-02-14,87.2,11358098.0
+2022-02-15,91.09,15667698.0
+2022-02-16,90.54,9613954.0
+2022-02-17,96.92,23846140.0
+2022-02-18,94.0,15040732.0
+2022-02-21,94.13,11060542.0
+2022-02-22,94.98,14110031.0
+2022-02-23,99.66,21702482.0
+2022-02-24,100.58,25418593.0
+2022-02-25,101.61,15032179.0
+2022-02-28,106.19,21302930.0
+2022-03-01,105.29,19571295.0
+2022-03-02,99.64,21173832.0
+2022-03-03,99.68,13858924.0
+2022-03-04,94.5,18373504.0
+2022-03-07,89.4,16091659.0
+2022-03-08,89.1,16674153.0
+2022-03-09,87.55,15772002.0
+2022-03-10,96.31,13862000.0
+2022-03-11,98.91,29079646.0
+2022-03-14,95.76,13898089.0
+2022-03-15,96.1,19626271.0
+2022-03-16,101.12,24101626.0
+2022-03-17,104.85,26122659.0
+2022-03-18,102.88,11776519.0
+2022-03-21,104.76,12415771.0
+2022-03-22,103.48,14532423.0
+2022-03-23,101.52,13357359.0
+2022-03-24,101.0,11941391.0
+2022-03-25,96.78,11941257.0
+2022-03-28,93.69,11923896.0
+2022-03-29,96.0,13027535.0
+2022-03-30,99.17,13387648.0
+2022-03-31,94.0,13287890.0
+2022-04-01,96.02,13115880.0
+2022-04-06,92.09,13926739.0
+2022-04-07,91.56,9488217.0
+2022-04-08,89.95,10157170.0
+2022-04-11,85.45,13106059.0
+2022-04-12,86.2,12259527.0
+",
+CN,technical,2020年07月21日，福耀玻璃的能量潮是多少？（从前60个数据开始计算）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,339724530.0,easy,volume,OBV_t = OBV_{t-1} + sign(C_t - C_{t-1}) * V_t = \sum_{i=1}^{t} sign(C_i - C_{i-1}) * V_i,"date,close,volume
+2020-04-21,18.92,13050597.0
+2020-04-22,18.81,8657795.0
+2020-04-23,18.93,8856953.0
+2020-04-24,18.8,8805927.0
+2020-04-27,18.83,6030212.0
+2020-04-28,18.86,10636597.0
+2020-04-29,19.13,9997066.0
+2020-04-30,19.79,17633692.0
+2020-05-06,19.78,14187274.0
+2020-05-07,20.62,23458283.0
+2020-05-08,20.66,20498343.0
+2020-05-11,20.95,15047267.0
+2020-05-12,20.75,10441613.0
+2020-05-13,20.48,7067931.0
+2020-05-14,20.12,8551906.0
+2020-05-15,19.92,8389993.0
+2020-05-18,19.99,6992865.0
+2020-05-19,20.5,9016349.0
+2020-05-20,20.22,6223010.0
+2020-05-21,19.99,5721193.0
+2020-05-22,19.68,6164804.0
+2020-05-25,19.58,6800682.0
+2020-05-26,19.78,5291945.0
+2020-05-27,19.99,7691668.0
+2020-05-28,19.6,8697912.0
+2020-05-29,19.64,6993309.0
+2020-06-01,20.17,12870998.0
+2020-06-02,20.09,9819769.0
+2020-06-03,20.77,25920691.0
+2020-06-04,20.89,14122959.0
+2020-06-05,21.37,16845091.0
+2020-06-08,21.71,18967053.0
+2020-06-09,22.04,14851704.0
+2020-06-10,21.32,18862155.0
+2020-06-11,21.1,10511829.0
+2020-06-12,21.53,12874160.0
+2020-06-15,20.95,9893408.0
+2020-06-16,21.0,9670863.0
+2020-06-17,20.92,10706260.0
+2020-06-18,21.12,9744436.0
+2020-06-19,21.45,18171711.0
+2020-06-22,21.03,17262928.0
+2020-06-23,21.04,9893182.0
+2020-06-24,21.24,9882265.0
+2020-06-29,20.84,21316418.0
+2020-06-30,20.87,8262065.0
+2020-07-01,20.97,10086944.0
+2020-07-02,21.56,20555865.0
+2020-07-03,22.01,21182528.0
+2020-07-06,23.0,40565266.0
+2020-07-07,22.6,37636380.0
+2020-07-08,22.83,20667631.0
+2020-07-09,22.4,40945304.0
+2020-07-10,21.9,37182489.0
+2020-07-13,23.05,53278818.0
+2020-07-14,24.1,60417386.0
+2020-07-15,23.47,42477060.0
+2020-07-16,22.52,32444706.0
+2020-07-17,24.02,57556810.0
+2020-07-20,25.89,63556348.0
+2020-07-21,26.13,50403953.0
+",
+CN,technical,国泰海通的能量潮在2024年08月07日为多少？（从前60个数据开始计算）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,251716747.0,easy,volume,OBV_t = OBV_{t-1} + sign(C_t - C_{t-1}) * V_t = \sum_{i=1}^{t} sign(C_i - C_{i-1}) * V_i,"date,close,volume
+2024-05-14,13.93,24357471.0
+2024-05-15,13.73,28459572.0
+2024-05-16,13.74,23019350.0
+2024-05-17,13.93,25172234.0
+2024-05-20,14.01,38601600.0
+2024-05-21,13.91,19081291.0
+2024-05-22,13.92,19953655.0
+2024-05-23,13.72,23091288.0
+2024-05-24,13.6,18483755.0
+2024-05-27,14.06,77160084.0
+2024-05-28,13.85,30392978.0
+2024-05-29,14.05,41278613.0
+2024-05-30,14.09,30632340.0
+2024-05-31,13.94,28756906.0
+2024-06-03,13.65,43957474.0
+2024-06-04,13.82,30735118.0
+2024-06-05,13.82,25097516.0
+2024-06-06,13.68,27081565.0
+2024-06-07,13.78,28994639.0
+2024-06-11,13.66,24432095.0
+2024-06-12,13.64,17160514.0
+2024-06-13,13.78,27290001.0
+2024-06-14,14.44,132948257.0
+2024-06-17,14.32,64570141.0
+2024-06-18,14.44,58135453.0
+2024-06-19,14.18,34697424.0
+2024-06-20,14.08,25516597.0
+2024-06-21,14.06,26899351.0
+2024-06-24,14.02,28969643.0
+2024-06-25,13.83,30586527.0
+2024-06-26,14.11,31358642.0
+2024-06-27,14.02,25608144.0
+2024-06-28,13.55,37850020.0
+2024-07-01,13.78,28373880.0
+2024-07-02,13.67,17852998.0
+2024-07-03,13.68,15762561.0
+2024-07-04,13.51,19559700.0
+2024-07-05,13.45,19692520.0
+2024-07-08,13.33,23805509.0
+2024-07-09,13.45,30746141.0
+2024-07-10,13.47,19929600.0
+2024-07-11,13.55,21876876.0
+2024-07-12,13.46,15647607.0
+2024-07-15,13.5,12022865.0
+2024-07-16,13.62,24385173.0
+2024-07-17,13.75,26006488.0
+2024-07-18,13.9,27720338.0
+2024-07-19,14.05,34153102.0
+2024-07-22,14.13,34112681.0
+2024-07-23,13.89,26129360.0
+2024-07-24,13.82,20450567.0
+2024-07-25,13.89,17314282.0
+2024-07-26,14.03,19618875.0
+2024-07-29,13.88,15456030.0
+2024-07-30,13.97,15287490.0
+2024-07-31,14.38,60576949.0
+2024-08-01,14.55,48060335.0
+2024-08-02,14.2,30837710.0
+2024-08-05,14.11,32423536.0
+2024-08-06,14.18,21518850.0
+2024-08-07,14.11,13578903.0
+",
+CN,technical,对于能量潮，成都银行2022年07月25日的值是多少？（从前60个数据开始计算）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-94763297.0,easy,volume,OBV_t = OBV_{t-1} + sign(C_t - C_{t-1}) * V_t = \sum_{i=1}^{t} sign(C_i - C_{i-1}) * V_i,"date,close,volume
+2022-04-26,15.66,26239042.0
+2022-04-27,15.9,26964136.0
+2022-04-28,17.08,35819417.0
+2022-04-29,16.79,41670645.0
+2022-05-05,17.36,30826505.0
+2022-05-06,17.2,21709420.0
+2022-05-09,16.42,38010732.0
+2022-05-10,16.74,29287248.0
+2022-05-11,16.15,38510881.0
+2022-05-12,15.89,36000534.0
+2022-05-13,16.2,33069011.0
+2022-05-16,16.08,25810824.0
+2022-05-17,16.05,26061824.0
+2022-05-18,15.61,29519906.0
+2022-05-19,15.67,14550527.0
+2022-05-20,15.24,42364554.0
+2022-05-23,15.21,25564071.0
+2022-05-24,14.93,23214041.0
+2022-05-25,15.3,22970814.0
+2022-05-26,15.49,21753710.0
+2022-05-27,15.78,23892151.0
+2022-05-30,15.46,23166482.0
+2022-05-31,15.29,21335606.0
+2022-06-01,15.49,20667000.0
+2022-06-02,15.4,14520405.0
+2022-06-06,15.86,23569355.0
+2022-06-07,16.6,33752897.0
+2022-06-08,16.74,18644396.0
+2022-06-09,17.03,21320441.0
+2022-06-10,17.27,25829699.0
+2022-06-13,17.34,24876819.0
+2022-06-14,17.47,26226854.0
+2022-06-15,17.34,27224943.0
+2022-06-16,16.72,29819760.0
+2022-06-17,16.83,21225830.0
+2022-06-20,16.53,21677031.0
+2022-06-21,16.86,16871291.0
+2022-06-22,16.71,17727919.0
+2022-06-23,16.73,14127328.0
+2022-06-24,16.35,34114090.0
+2022-06-27,16.96,34302320.0
+2022-06-28,16.61,28171028.0
+2022-06-29,16.41,27725872.0
+2022-06-30,16.58,11412491.0
+2022-07-01,16.36,12425092.0
+2022-07-04,16.38,18466410.0
+2022-07-05,16.7,16469838.0
+2022-07-06,16.47,12278288.0
+2022-07-07,16.75,10562846.0
+2022-07-08,16.35,12429898.0
+2022-07-11,16.57,15110447.0
+2022-07-12,16.74,24141398.0
+2022-07-13,16.05,27876441.0
+2022-07-14,15.95,36931491.0
+2022-07-15,15.95,26272220.0
+2022-07-18,15.97,19405633.0
+2022-07-19,15.97,18902123.0
+2022-07-20,16.08,12574877.0
+2022-07-21,15.21,53828338.0
+2022-07-22,15.52,19830556.0
+2022-07-25,15.49,13595426.0
+",
+CN,technical,计算恒瑞医药2025年09月01日的能量潮的值。（从前60个数据开始计算）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,588815422.0,easy,volume,OBV_t = OBV_{t-1} + sign(C_t - C_{t-1}) * V_t = \sum_{i=1}^{t} sign(C_i - C_{i-1}) * V_i,"date,close,volume
+2025-06-09,54.36,65690582.0
+2025-06-10,55.13,48073517.0
+2025-06-11,54.71,37773566.0
+2025-06-12,55.82,49318822.0
+2025-06-13,53.89,66023830.0
+2025-06-16,53.76,39224137.0
+2025-06-17,51.84,69518032.0
+2025-06-18,51.81,33409543.0
+2025-06-19,51.58,37316694.0
+2025-06-20,51.76,24060775.0
+2025-06-23,51.96,31328106.0
+2025-06-24,52.15,45103539.0
+2025-06-25,52.95,53648196.0
+2025-06-26,52.08,39226868.0
+2025-06-27,51.95,28776507.0
+2025-06-30,51.9,44535488.0
+2025-07-01,52.46,39772496.0
+2025-07-02,52.25,32571223.0
+2025-07-03,52.47,29367818.0
+2025-07-04,53.26,47792312.0
+2025-07-07,52.65,28638794.0
+2025-07-08,53.4,35926315.0
+2025-07-09,57.19,115821169.0
+2025-07-10,57.6,90371570.0
+2025-07-11,56.9,65863171.0
+2025-07-14,57.21,47375836.0
+2025-07-15,57.22,43692847.0
+2025-07-16,57.22,39819120.0
+2025-07-17,57.73,44414628.0
+2025-07-18,58.76,66098565.0
+2025-07-21,58.0,50944185.0
+2025-07-22,57.41,47557025.0
+2025-07-23,57.13,42529511.0
+2025-07-24,57.5,46583415.0
+2025-07-25,56.4,50539423.0
+2025-07-28,62.04,163009595.0
+2025-07-29,63.8,168276889.0
+2025-07-30,63.59,98084933.0
+2025-07-31,62.9,74203875.0
+2025-08-01,61.31,73465464.0
+2025-08-04,62.0,68961349.0
+2025-08-05,62.3,54144318.0
+2025-08-06,61.58,57247861.0
+2025-08-07,60.81,50476397.0
+2025-08-08,60.99,36297073.0
+2025-08-11,61.07,42575238.0
+2025-08-12,60.85,39183475.0
+2025-08-13,62.61,81529632.0
+2025-08-14,62.82,57126647.0
+2025-08-15,63.4,61493254.0
+2025-08-18,63.08,72885756.0
+2025-08-19,61.69,99770049.0
+2025-08-20,62.85,65042442.0
+2025-08-21,63.99,85862923.0
+2025-08-22,64.98,63771891.0
+2025-08-25,66.26,84923381.0
+2025-08-26,65.3,57512937.0
+2025-08-27,63.05,83616934.0
+2025-08-28,63.03,71590154.0
+2025-08-29,66.23,102318607.0
+2025-09-01,68.35,87218089.0
+",
+CN,technical,金龙鱼2024年01月29日的力度指数的值是？使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-1409751.0,easy,volume,ForceIndex_t = (C_t - C_{t-1}) * V_t,"date,close,volume
+2024-01-26,30.75,5131927.0
+2024-01-29,30.48,5221300.0
+",
+CN,technical,2024年09月06日，光大证券的力度指数是多少？使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,244648.46,easy,volume,ForceIndex_t = (C_t - C_{t-1}) * V_t,"date,close,volume
+2024-09-05,14.53,7178780.0
+2024-09-06,14.54,24464846.0
+",
+CN,technical,软通动力的力度指数在2024年05月24日为多少？使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-34223440.08,easy,volume,ForceIndex_t = (C_t - C_{t-1}) * V_t,"date,close,volume
+2024-05-23,40.61,33545542.0
+2024-05-24,39.5,30831928.0
+",
+CN,technical,对于力度指数，南方航空2023年12月07日的值是多少？使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-1077786.0,easy,volume,ForceIndex_t = (C_t - C_{t-1}) * V_t,"date,close,volume
+2023-12-06,6.06,29720924.0
+2023-12-07,6.02,26944650.0
+",
+CN,technical,计算中联重科2023年11月10日的力度指数的值。使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-439656.78,easy,volume,ForceIndex_t = (C_t - C_{t-1}) * V_t,"date,close,volume
+2023-11-09,6.46,20662014.0
+2023-11-10,6.43,14655226.0
+",
+CN,technical,中国交建2021年01月28日的累积/派发线的值是？（从前60个数据开始计算）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-155049802.3803,easy,volume,MFM_t = ((C_t - L_t) - (H_t - C_t)) / (H_t - L_t)；MFV_t = MFM_t * V_t；ADL_t = ADL_{t-1} + MFV_t = \sum_{i=1}^{t} MFV_i,"date,high,low,close,volume
+2020-11-04,7.49,7.4,7.44,11969051.0
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+2020-11-06,7.61,7.45,7.56,25451034.0
+2020-11-09,7.66,7.57,7.64,31006878.0
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+2020-11-11,8.04,7.5,7.95,122475183.0
+2020-11-12,7.84,7.68,7.75,61067825.0
+2020-11-13,7.69,7.55,7.6,35391178.0
+2020-11-16,7.79,7.57,7.77,50061835.0
+2020-11-17,7.77,7.65,7.7,32832525.0
+2020-11-18,7.91,7.62,7.79,55483901.0
+2020-11-19,7.92,7.72,7.77,31112718.0
+2020-11-20,7.77,7.66,7.74,24412246.0
+2020-11-23,7.95,7.73,7.89,58510730.0
+2020-11-24,7.93,7.82,7.9,34798392.0
+2020-11-25,8.03,7.72,7.72,49021570.0
+2020-11-26,7.76,7.68,7.72,22983350.0
+2020-11-27,7.84,7.65,7.84,32769137.0
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+2020-12-01,7.98,7.81,7.97,51763812.0
+2020-12-02,8.05,7.89,7.99,50692044.0
+2020-12-03,7.98,7.88,7.9,32373541.0
+2020-12-04,7.9,7.76,7.79,33148483.0
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+2021-01-04,7.25,7.16,7.2,28626202.0
+2021-01-05,7.37,7.13,7.18,58315983.0
+2021-01-06,7.51,7.17,7.41,70162773.0
+2021-01-07,7.43,7.25,7.32,43459751.0
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+2021-01-27,7.22,7.13,7.14,18965142.0
+2021-01-28,7.11,7.0,7.02,27553352.0
+",
+CN,technical,2020年12月03日，天孚通信的累积/派发线是多少？（从前60个数据开始计算）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-29457204.7513,easy,volume,MFM_t = ((C_t - L_t) - (H_t - C_t)) / (H_t - L_t)；MFV_t = MFM_t * V_t；ADL_t = ADL_{t-1} + MFV_t = \sum_{i=1}^{t} MFV_i,"date,high,low,close,volume
+2020-09-02,67.18,65.07,66.53,1962721.0
+2020-09-03,66.85,64.58,64.82,1940660.0
+2020-09-04,65.4,63.22,64.89,1681919.0
+2020-09-07,65.7,62.82,63.0,1986136.0
+2020-09-08,65.17,60.59,61.1,2905114.0
+2020-09-09,60.19,56.36,58.51,3984566.0
+2020-09-10,59.57,56.9,57.29,2165492.0
+2020-09-11,58.86,56.35,58.5,2079733.0
+2020-09-14,60.0,58.1,58.97,2630899.0
+2020-09-15,59.88,57.9,58.33,2017997.0
+2020-09-16,59.58,57.81,58.22,1444093.0
+2020-09-17,59.55,57.4,58.82,2134179.0
+2020-09-18,59.26,57.74,59.03,2183967.0
+2020-09-21,59.69,57.54,57.79,2110930.0
+2020-09-22,58.65,57.0,57.28,1314756.0
+2020-09-23,59.2,57.4,58.07,1659221.0
+2020-09-24,58.1,55.81,55.83,1830438.0
+2020-09-25,57.98,55.73,56.09,2144610.0
+2020-09-28,57.7,55.3,55.63,1831008.0
+2020-09-29,57.28,55.7,56.72,1765478.0
+2020-09-30,56.99,55.53,56.19,1989064.0
+2020-10-09,58.96,56.18,56.5,3460828.0
+2020-10-12,60.76,56.65,60.29,4544835.0
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+2020-11-25,59.78,57.03,58.92,2784586.0
+2020-11-26,59.26,57.0,57.43,2288311.0
+2020-11-27,58.75,57.4,58.18,1645083.0
+2020-11-30,58.69,56.5,56.61,2594315.0
+2020-12-01,57.95,56.1,57.19,2255751.0
+2020-12-02,58.91,57.0,57.85,2836856.0
+2020-12-03,58.38,56.7,56.9,1811084.0
+",
+CN,technical,东方财富的累积/派发线在2024年07月22日为多少？（从前60个数据开始计算）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-1188233226.4726,easy,volume,MFM_t = ((C_t - L_t) - (H_t - C_t)) / (H_t - L_t)；MFV_t = MFM_t * V_t；ADL_t = ADL_{t-1} + MFV_t = \sum_{i=1}^{t} MFV_i,"date,high,low,close,volume
+2024-04-23,12.5,12.36,12.44,108151491.0
+2024-04-24,12.47,12.33,12.45,114904600.0
+2024-04-25,12.48,12.26,12.35,120056111.0
+2024-04-26,13.2,12.51,13.12,487706420.0
+2024-04-29,13.38,12.98,13.25,418187884.0
+2024-04-30,13.29,13.04,13.05,203435900.0
+2024-05-06,13.57,13.21,13.25,297269658.0
+2024-05-07,13.27,13.13,13.18,162353619.0
+2024-05-08,13.18,12.92,12.96,143114777.0
+2024-05-09,13.17,12.97,13.08,140817115.0
+2024-05-10,13.19,12.99,13.11,159360790.0
+2024-05-13,13.14,12.85,13.01,162257556.0
+2024-05-14,13.1,12.93,13.05,142315389.0
+2024-05-15,13.11,12.69,12.71,198598196.0
+2024-05-16,13.03,12.7,12.82,196721829.0
+2024-05-17,13.09,12.76,13.07,184224526.0
+2024-05-20,13.29,12.99,13.1,215801141.0
+2024-05-21,13.19,12.99,13.04,135867388.0
+2024-05-22,13.11,12.97,13.05,114987796.0
+2024-05-23,13.0,12.71,12.76,162119055.0
+2024-05-24,12.78,12.5,12.53,137305516.0
+2024-05-27,12.69,12.48,12.67,112394997.0
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+2024-05-29,12.63,12.44,12.49,82795221.0
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+2024-06-25,11.84,11.51,11.54,152340175.0
+2024-06-26,11.73,11.44,11.69,119378951.0
+2024-06-27,11.63,11.34,11.34,128432293.0
+2024-06-28,11.44,10.35,10.56,416615242.0
+2024-07-01,10.73,10.33,10.47,240874112.0
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+2024-07-08,10.19,9.93,9.96,164410473.0
+2024-07-09,10.21,9.87,10.13,213894289.0
+2024-07-10,10.3,10.03,10.12,152460812.0
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+2024-07-12,10.47,10.32,10.36,127622228.0
+2024-07-15,10.4,10.27,10.33,98832405.0
+2024-07-16,10.48,10.29,10.45,133959312.0
+2024-07-17,10.59,10.42,10.5,150744592.0
+2024-07-18,10.59,10.37,10.54,148456244.0
+2024-07-19,10.75,10.48,10.7,179107957.0
+2024-07-22,10.9,10.57,10.69,193913248.0
+",
+CN,technical,对于累积/派发线，招商银行2021年12月09日的值是多少？（从前60个数据开始计算）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,187777252.747,easy,volume,MFM_t = ((C_t - L_t) - (H_t - C_t)) / (H_t - L_t)；MFV_t = MFM_t * V_t；ADL_t = ADL_{t-1} + MFV_t = \sum_{i=1}^{t} MFV_i,"date,high,low,close,volume
+2021-09-07,53.08,50.45,52.81,77232009.0
+2021-09-08,53.55,52.26,52.41,55390668.0
+2021-09-09,52.68,51.68,52.1,35780025.0
+2021-09-10,54.52,51.75,54.12,107097799.0
+2021-09-13,54.5,53.5,53.92,59283043.0
+2021-09-14,54.89,51.8,52.1,63116569.0
+2021-09-15,52.49,50.8,51.4,54233793.0
+2021-09-16,51.83,50.21,50.7,62989614.0
+2021-09-17,51.54,50.5,51.25,42016472.0
+2021-09-22,49.98,48.1,49.41,112259622.0
+2021-09-23,50.53,48.61,48.84,86102453.0
+2021-09-24,49.33,48.4,48.77,53203933.0
+2021-09-27,49.8,48.21,49.09,66790515.0
+2021-09-28,50.98,49.09,50.42,70992547.0
+2021-09-29,52.17,49.61,51.56,90460986.0
+2021-09-30,51.43,50.1,50.45,58611808.0
+2021-10-08,51.08,50.02,50.93,64555292.0
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+2021-11-22,52.34,51.59,51.69,37653834.0
+2021-11-23,52.3,51.44,51.75,38914891.0
+2021-11-24,51.9,51.17,51.74,31503965.0
+2021-11-25,51.7,51.24,51.42,21566020.0
+2021-11-26,51.45,49.88,50.1,82335731.0
+2021-11-29,50.1,48.82,49.82,82724704.0
+2021-11-30,49.85,48.91,49.49,61004256.0
+2021-12-01,50.2,49.28,49.99,50036103.0
+2021-12-02,51.0,49.49,50.89,55607048.0
+2021-12-03,51.28,50.47,51.25,49407647.0
+2021-12-06,52.4,51.33,51.82,60471643.0
+2021-12-07,52.58,51.1,51.84,54077371.0
+2021-12-08,52.28,51.4,52.04,49097472.0
+2021-12-09,53.84,51.8,53.13,84055721.0
+",
+CN,technical,计算石头科技2022年08月08日的累积/派发线的值。（从前60个数据开始计算）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-2956867.8099,easy,volume,MFM_t = ((C_t - L_t) - (H_t - C_t)) / (H_t - L_t)；MFV_t = MFM_t * V_t；ADL_t = ADL_{t-1} + MFV_t = \sum_{i=1}^{t} MFV_i,"date,high,low,close,volume
+2022-05-13,605.99,588.0,594.02,252505.0
+2022-05-16,614.99,583.02,585.22,336320.0
+2022-05-17,594.63,575.23,585.81,276459.0
+2022-05-18,590.0,566.08,572.0,301747.0
+2022-05-19,593.01,562.5,589.7,296741.0
+2022-05-20,623.98,579.77,618.97,451956.0
+2022-05-23,631.19,602.17,619.24,307780.0
+2022-05-24,620.0,591.26,605.16,473973.0
+2022-05-25,618.8,598.05,616.7,326932.0
+2022-05-26,634.81,610.0,631.2,424638.0
+2022-05-27,615.0,560.18,565.99,832889.0
+2022-05-30,599.83,560.0,594.21,601395.0
+2022-05-31,645.0,588.01,635.51,677014.0
+2022-06-01,643.9,622.1,624.37,365872.0
+2022-06-02,644.58,611.08,642.0,455072.0
+2022-06-06,725.88,645.77,714.96,967052.0
+2022-06-07,714.95,677.0,682.53,498219.0
+2022-06-08,718.5,675.44,709.69,686572.0
+2022-06-09,707.12,682.12,682.69,439363.0
+2022-06-10,700.0,670.01,689.34,492441.0
+2022-06-13,688.0,662.01,670.73,425424.0
+2022-06-14,695.0,650.5,673.98,591458.0
+2022-06-15,683.8,661.58,663.1,382587.0
+2022-06-16,672.9,653.0,660.9,389451.0
+2022-06-17,678.0,646.0,673.13,488315.0
+2022-06-20,685.0,657.0,661.01,448692.0
+2022-06-21,698.0,651.0,671.06,576403.0
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+2022-06-23,643.87,613.01,635.0,508760.0
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+2022-07-05,623.0,594.0,599.15,629818.0
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+2022-07-07,560.98,520.57,527.08,1331023.0
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+2022-07-14,364.75,353.14,355.17,933586.0
+2022-07-15,362.8,347.0,348.01,840207.0
+2022-07-18,350.0,339.0,344.35,798911.0
+2022-07-19,347.78,336.0,346.0,1041902.0
+2022-07-20,349.98,343.01,347.5,540174.0
+2022-07-21,350.38,341.11,341.75,670482.0
+2022-07-22,344.0,332.11,336.15,978589.0
+2022-07-25,343.89,333.0,334.24,726340.0
+2022-07-26,336.5,324.21,332.0,1089035.0
+2022-07-27,336.7,326.06,333.8,546499.0
+2022-07-28,339.5,332.1,336.88,704358.0
+2022-07-29,338.5,324.83,326.16,843794.0
+2022-08-01,335.45,321.27,325.89,871327.0
+2022-08-02,322.0,308.02,316.41,978180.0
+2022-08-03,327.15,313.34,321.83,1091395.0
+2022-08-04,328.0,318.11,319.4,574588.0
+2022-08-05,335.0,319.31,334.58,1241108.0
+2022-08-08,344.4,333.61,338.0,1026536.0
+",
+CN,technical,新和成2023年03月24日的蔡金资金流的值是？（标准版：周期20）使用不复权价格，写出指标公式，搜集原始数据，计算得出��案，保留四位小数。注意列出原始数据和关键计算过程。,-0.3124,easy,volume,MFM_t = ((C_t - L_t) - (H_t - C_t)) / (H_t - L_t)；MFV_t = MFM_t * V_t；CMF = \sum_{i=0}^{n-1} MFV_{t-i} / \sum_{i=0}^{n-1} V_{t-i},"date,high,low,close,volume
+2023-02-27,19.37,18.79,18.94,19312968.0
+2023-02-28,19.05,18.9,18.97,12779694.0
+2023-03-01,19.2,18.93,19.17,12220339.0
+2023-03-02,19.29,19.04,19.05,11724198.0
+2023-03-03,19.13,18.78,18.88,19638114.0
+2023-03-06,18.97,18.8,18.88,10641514.0
+2023-03-07,18.97,18.53,18.56,15917919.0
+2023-03-08,18.69,18.47,18.54,8478540.0
+2023-03-09,18.61,18.45,18.47,8949405.0
+2023-03-10,18.48,18.23,18.36,10582209.0
+2023-03-13,18.51,18.26,18.41,7315444.0
+2023-03-14,18.58,18.22,18.38,11224368.0
+2023-03-15,18.55,18.22,18.27,16563948.0
+2023-03-16,18.24,17.96,18.02,14360131.0
+2023-03-17,18.14,17.8,17.86,17877130.0
+2023-03-20,17.87,17.44,17.68,16622176.0
+2023-03-21,18.05,17.64,18.02,11079813.0
+2023-03-22,18.18,17.86,17.94,11916344.0
+2023-03-23,18.01,17.66,17.77,16377649.0
+2023-03-24,17.93,17.77,17.79,8803485.0
+",
+CN,technical,2025年11月12日，龙佰集团的蔡金资金流是多少？（标准版：周期20）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-0.1251,easy,volume,MFM_t = ((C_t - L_t) - (H_t - C_t)) / (H_t - L_t)；MFV_t = MFM_t * V_t；CMF = \sum_{i=0}^{n-1} MFV_{t-i} / \sum_{i=0}^{n-1} V_{t-i},"date,high,low,close,volume
+2025-10-16,19.77,19.33,19.45,14340259.0
+2025-10-17,20.23,19.4,19.52,35722690.0
+2025-10-20,19.58,18.96,19.13,23231727.0
+2025-10-21,19.53,18.98,19.51,14895226.0
+2025-10-22,19.59,18.82,18.86,18313558.0
+2025-10-23,19.51,18.8,19.47,20652099.0
+2025-10-24,19.83,19.3,19.47,13558903.0
+2025-10-27,19.57,19.08,19.14,23445593.0
+2025-10-28,19.13,18.07,18.2,50852809.0
+2025-10-29,18.8,17.99,18.75,30868925.0
+2025-10-30,18.76,18.45,18.57,13026000.0
+2025-10-31,18.75,18.4,18.41,15806400.0
+2025-11-03,18.51,18.11,18.26,16366192.0
+2025-11-04,18.29,17.4,17.5,31438380.0
+2025-11-05,17.75,17.2,17.54,19132142.0
+2025-11-06,18.07,17.52,17.9,17233398.0
+2025-11-07,18.84,17.72,18.55,31211951.0
+2025-11-10,19.5,18.78,19.31,42234326.0
+2025-11-11,19.47,19.08,19.32,16511852.0
+2025-11-12,19.3,18.94,19.11,12083763.0
+",
+CN,technical,中国电建的蔡金资金流在2021年07月28日为多少？（标准版：周期20）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-0.0263,easy,volume,MFM_t = ((C_t - L_t) - (H_t - C_t)) / (H_t - L_t)；MFV_t = MFM_t * V_t；CMF = \sum_{i=0}^{n-1} MFV_{t-i} / \sum_{i=0}^{n-1} V_{t-i},"date,high,low,close,volume
+2021-07-01,3.95,3.86,3.91,77675109.0
+2021-07-02,3.95,3.86,3.89,66012830.0
+2021-07-05,3.91,3.86,3.91,45979420.0
+2021-07-06,3.97,3.89,3.94,78741892.0
+2021-07-07,3.88,3.82,3.84,56011309.0
+2021-07-08,3.88,3.83,3.85,48927010.0
+2021-07-09,3.87,3.82,3.86,48838357.0
+2021-07-12,4.0,3.87,3.95,127372737.0
+2021-07-13,4.02,3.92,3.94,107482802.0
+2021-07-14,4.01,3.93,3.94,66712830.0
+2021-07-15,4.01,3.91,3.99,80737069.0
+2021-07-16,4.05,3.96,3.99,77372152.0
+2021-07-19,4.0,3.94,3.98,57196970.0
+2021-07-20,4.13,3.92,4.07,142484677.0
+2021-07-21,4.1,3.96,3.98,118601007.0
+2021-07-22,4.14,3.96,4.06,167041264.0
+2021-07-23,4.46,4.07,4.34,436056000.0
+2021-07-26,4.65,4.36,4.56,486793882.0
+2021-07-27,4.86,4.46,4.51,586182417.0
+2021-07-28,4.57,4.27,4.42,271266836.0
+",
+CN,technical,对于蔡金资金流，宁沪高速2020年04月17日的值是多少？（标准版：周期20）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.2135,easy,volume,MFM_t = ((C_t - L_t) - (H_t - C_t)) / (H_t - L_t)；MFV_t = MFM_t * V_t；CMF = \sum_{i=0}^{n-1} MFV_{t-i} / \sum_{i=0}^{n-1} V_{t-i},"date,high,low,close,volume
+2020-03-20,9.49,9.08,9.35,9985335.0
+2020-03-23,9.47,9.0,9.3,10290725.0
+2020-03-24,9.86,9.44,9.8,11625995.0
+2020-03-25,10.11,9.84,10.05,9096798.0
+2020-03-26,10.07,9.77,9.83,9196980.0
+2020-03-27,10.0,9.83,9.91,3497149.0
+2020-03-30,9.9,9.7,9.77,2187018.0
+2020-03-31,9.9,9.69,9.82,3317723.0
+2020-04-01,9.9,9.55,9.56,4548105.0
+2020-04-02,9.5,9.24,9.4,8258045.0
+2020-04-03,9.76,9.36,9.65,5603150.0
+2020-04-07,9.84,9.64,9.77,4096766.0
+2020-04-08,9.75,9.56,9.64,3938619.0
+2020-04-09,9.75,9.6,9.75,3887600.0
+2020-04-10,10.03,9.7,9.95,6891057.0
+2020-04-13,10.3,9.88,10.24,7313729.0
+2020-04-14,10.27,10.06,10.19,5238737.0
+2020-04-15,10.17,9.86,9.88,7234183.0
+2020-04-16,10.14,9.85,10.07,6381241.0
+2020-04-17,10.16,9.99,10.11,3718623.0
+",
+CN,technical,计算星宇股份2025年03月11日的蔡金资金流的值。（标准版：周期20）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-0.0711,easy,volume,MFM_t = ((C_t - L_t) - (H_t - C_t)) / (H_t - L_t)；MFV_t = MFM_t * V_t；CMF = \sum_{i=0}^{n-1} MFV_{t-i} / \sum_{i=0}^{n-1} V_{t-i},"date,high,low,close,volume
+2025-02-12,135.39,130.58,131.24,1869916.0
+2025-02-13,132.56,129.88,130.26,1877803.0
+2025-02-14,131.76,129.88,130.61,1250548.0
+2025-02-17,130.62,127.61,128.0,1845210.0
+2025-02-18,130.49,125.8,126.62,1702007.0
+2025-02-19,127.8,125.26,126.03,1681072.0
+2025-02-20,126.2,123.0,124.5,1723116.0
+2025-02-21,124.54,121.4,122.0,3452033.0
+2025-02-24,124.11,120.15,124.08,2023955.0
+2025-02-25,128.32,122.5,127.94,3518757.0
+2025-02-26,129.43,127.06,128.11,1840812.0
+2025-02-27,129.19,126.95,128.99,2013969.0
+2025-02-28,129.4,126.37,129.02,2169311.0
+2025-03-03,129.3,124.99,125.26,1560489.0
+2025-03-04,125.75,124.0,124.5,955600.0
+2025-03-05,126.88,124.03,125.29,1335720.0
+2025-03-06,125.96,120.94,120.99,4543488.0
+2025-03-07,126.6,120.51,125.96,3784880.0
+2025-03-10,127.98,124.5,125.2,1584424.0
+2025-03-11,124.99,121.79,124.67,1925451.0
+",
+CN,technical,荣盛石化2021年02月04日的蔡金振荡指标的值是？（标准版：快线3，慢线10；从前60个数据开始计算，EMA初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,26698213.192,easy,volume,ChaikinOsc = EMA_{n_{fast}}(ADL) - EMA_{n_{slow}}(ADL),"date,high,low,close,volume
+2020-11-11,24.24,23.25,23.25,50022633.0
+2020-11-12,23.76,23.2,23.72,23183589.0
+2020-11-13,23.62,23.06,23.24,25616354.0
+2020-11-16,24.24,23.12,24.24,41650460.0
+2020-11-17,24.45,23.62,23.98,25993624.0
+2020-11-18,24.62,23.76,23.95,25198966.0
+2020-11-19,24.1,23.15,23.75,53376841.0
+2020-11-20,24.22,23.04,23.76,67601604.0
+2020-11-23,25.55,23.91,25.21,43817626.0
+2020-11-24,26.12,25.11,26.0,39283075.0
+2020-11-25,26.79,25.81,25.85,50720130.0
+2020-11-26,26.03,25.0,25.8,24155032.0
+2020-11-27,26.48,25.3,25.81,24109183.0
+2020-11-30,26.36,25.38,25.72,41762061.0
+2020-12-01,26.2,25.4,25.88,33392049.0
+2020-12-02,26.25,25.21,26.02,26149960.0
+2020-12-03,26.39,24.94,25.24,27733080.0
+2020-12-04,25.64,24.92,25.55,18080094.0
+2020-12-07,25.9,25.4,25.6,15883046.0
+2020-12-08,26.4,25.26,25.98,20828860.0
+2020-12-09,26.04,25.31,25.6,19201170.0
+2020-12-10,25.91,25.0,25.28,21312752.0
+2020-12-11,26.77,25.48,26.04,36096502.0
+2020-12-14,26.48,24.85,25.52,34968482.0
+2020-12-15,25.53,24.37,25.03,33765134.0
+2020-12-16,25.36,24.57,24.61,34535484.0
+2020-12-17,25.2,24.4,24.7,32221044.0
+2020-12-18,25.09,23.8,24.07,21090240.0
+2020-12-21,25.15,24.0,25.0,35027249.0
+2020-12-22,25.19,23.99,24.15,25546349.0
+2020-12-23,24.66,23.73,24.45,25180966.0
+2020-12-24,26.67,24.37,26.37,37496124.0
+2020-12-25,27.42,25.5,27.25,33231731.0
+2020-12-28,27.43,26.2,26.62,28108504.0
+2020-12-29,27.0,26.18,26.8,20580673.0
+2020-12-30,27.42,26.5,27.37,27787810.0
+2020-12-31,27.66,26.52,27.61,27739824.0
+2021-01-04,27.69,26.72,27.44,25817961.0
+2021-01-05,29.55,27.55,28.84,51076968.0
+2021-01-06,29.81,28.57,29.55,50095772.0
+2021-01-07,30.4,29.56,30.4,37166957.0
+2021-01-08,30.62,28.97,30.06,21993255.0
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+2021-01-12,31.33,30.0,31.1,22772388.0
+2021-01-13,31.63,30.65,31.5,19603039.0
+2021-01-14,31.71,30.67,30.87,17309763.0
+2021-01-15,31.74,30.0,31.46,23011963.0
+2021-01-18,33.52,31.09,33.2,27033008.0
+2021-01-19,33.72,31.81,32.19,30885483.0
+2021-01-20,33.53,32.09,32.5,36871556.0
+2021-01-21,34.79,32.37,34.05,48967483.0
+2021-01-22,36.47,33.95,36.25,39074364.0
+2021-01-25,38.42,36.01,36.83,46819217.0
+2021-01-26,36.83,35.81,36.39,26384864.0
+2021-01-27,37.66,34.72,35.76,38047849.0
+2021-01-28,36.07,33.63,34.01,48081305.0
+2021-01-29,35.33,33.46,34.2,29465579.0
+2021-02-01,37.62,33.51,37.62,57894650.0
+2021-02-02,40.44,37.26,40.2,55998801.0
+2021-02-03,40.62,39.01,39.55,36219229.0
+2021-02-04,41.3,38.62,39.7,38947704.0
+",
+CN,technical,2021年06月29日，潞安环能的蔡金振荡指标是多少？（标准版：快线3，慢线10；从前60个数据开始计算，EMA初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-33290613.7747,easy,volume,ChaikinOsc = EMA_{n_{fast}}(ADL) - EMA_{n_{slow}}(ADL),"date,high,low,close,volume
+2021-03-30,6.2,6.07,6.13,22251083.0
+2021-03-31,6.17,6.09,6.13,14802359.0
+2021-04-01,6.16,6.04,6.14,15138364.0
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+2021-06-15,13.3,12.4,12.71,54718358.0
+2021-06-16,13.08,12.17,12.2,76544679.0
+2021-06-17,12.7,12.01,12.3,51372310.0
+2021-06-18,12.55,11.7,12.13,55621161.0
+2021-06-21,12.9,11.77,12.51,64937382.0
+2021-06-22,12.78,12.26,12.63,50986617.0
+2021-06-23,12.98,12.14,12.59,64499592.0
+2021-06-24,13.55,12.54,12.95,76703284.0
+2021-06-25,13.93,12.73,13.84,77258035.0
+2021-06-28,12.98,12.46,12.46,89993034.0
+2021-06-29,12.13,11.36,11.49,83669209.0
+",
+CN,technical,金山办公的蔡金振荡指标在2025年12月23日为多少？（标准版：快线3，慢线10；从前60个数据开始计算，EMA初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-1539107.2896,easy,volume,ChaikinOsc = EMA_{n_{fast}}(ADL) - EMA_{n_{slow}}(ADL),"date,high,low,close,volume
+2025-09-22,310.8,303.52,307.48,4925977.0
+2025-09-23,307.48,288.5,295.46,9126918.0
+2025-09-24,310.88,292.96,310.84,9568686.0
+2025-09-25,325.0,311.69,318.54,9040410.0
+2025-09-26,317.99,304.5,305.0,6300063.0
+2025-09-29,309.88,302.02,307.49,5547581.0
+2025-09-30,320.0,310.88,316.5,7551043.0
+2025-10-09,328.86,304.05,318.93,14078460.0
+2025-10-10,315.88,295.0,297.0,13630975.0
+2025-10-13,351.0,316.31,321.7,26655062.0
+2025-10-14,318.5,302.18,310.15,19534305.0
+2025-10-15,316.3,301.11,312.93,11718176.0
+2025-10-16,310.0,303.39,305.55,7537451.0
+2025-10-17,306.8,296.23,297.59,7021978.0
+2025-10-20,302.49,295.92,298.75,4760000.0
+2025-10-21,303.5,298.0,300.31,4891714.0
+2025-10-22,299.8,293.0,293.18,5123852.0
+2025-10-23,300.85,292.0,300.67,5506593.0
+2025-10-24,305.88,299.31,304.0,6166497.0
+2025-10-27,317.71,303.42,317.0,9396740.0
+2025-10-28,359.39,331.0,337.21,24770207.0
+2025-10-29,339.69,327.14,337.71,11192538.0
+2025-10-30,358.0,332.99,345.04,14449773.0
+2025-10-31,367.77,345.0,358.99,16626395.0
+2025-11-03,372.98,352.72,359.88,13893791.0
+2025-11-04,359.88,347.3,350.21,9515380.0
+2025-11-05,346.0,336.79,343.78,7091183.0
+2025-11-06,343.7,334.11,341.91,7115846.0
+2025-11-07,339.91,328.51,329.99,7102771.0
+2025-11-10,335.02,326.67,330.5,5875815.0
+2025-11-11,332.56,320.33,321.8,6285451.0
+2025-11-12,322.3,316.0,317.8,4617063.0
+2025-11-13,323.9,317.82,321.62,5198694.0
+2025-11-14,321.5,310.9,311.0,5007521.0
+2025-11-17,317.0,310.03,313.4,5830215.0
+2025-11-18,324.79,310.53,318.67,8540560.0
+2025-11-19,323.44,316.13,318.3,5868724.0
+2025-11-20,319.2,307.21,307.55,6390287.0
+2025-11-21,311.5,304.1,305.71,5544525.0
+2025-11-24,323.95,303.33,323.0,8565496.0
+2025-11-25,329.98,318.01,319.0,7671594.0
+2025-11-26,324.76,315.67,319.45,6541203.0
+2025-11-27,319.4,311.56,312.02,5217198.0
+2025-11-28,314.37,309.5,311.31,3657342.0
+2025-12-01,318.2,308.2,317.08,5171801.0
+2025-12-02,317.74,307.28,309.3,4251097.0
+2025-12-03,309.93,302.01,303.49,4116241.0
+2025-12-04,305.31,300.05,301.19,3766630.0
+2025-12-05,304.99,299.13,304.83,4279364.0
+2025-12-08,307.93,304.5,305.45,4452044.0
+2025-12-09,307.66,300.61,303.22,4049100.0
+2025-12-10,306.0,298.01,306.0,3730559.0
+2025-12-11,304.5,296.0,296.01,5102132.0
+2025-12-12,308.42,294.54,307.9,7709513.0
+2025-12-15,309.39,303.02,307.6,3969174.0
+2025-12-16,309.89,304.96,307.31,3285053.0
+2025-12-17,312.7,305.33,312.42,4150674.0
+2025-12-18,314.3,306.95,306.95,3546049.0
+2025-12-19,308.5,302.7,303.6,3708264.0
+2025-12-22,306.98,301.67,303.6,3746747.0
+2025-12-23,309.5,302.3,303.0,3509089.0
+",
+CN,technical,对于蔡金振荡指标，牧原股份2024年01月23日的值是多少？（标准版：快线3，慢线10；从前60个数据开始计算，EMA初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-10826512.8612,easy,volume,ChaikinOsc = EMA_{n_{fast}}(ADL) - EMA_{n_{slow}}(ADL),"date,high,low,close,volume
+2023-10-30,37.85,35.85,37.81,46181544.0
+2023-10-31,37.95,37.0,37.76,29489107.0
+2023-11-01,38.36,37.41,37.86,23626210.0
+2023-11-02,38.76,37.75,37.8,22267758.0
+2023-11-03,38.39,37.38,38.21,29361851.0
+2023-11-06,38.21,36.8,37.5,31378942.0
+2023-11-07,37.68,37.0,37.31,20139916.0
+2023-11-08,37.43,36.8,37.07,15859240.0
+2023-11-09,37.6,36.82,37.22,13718559.0
+2023-11-10,37.61,36.92,37.41,15852110.0
+2023-11-13,37.55,36.7,37.46,18700451.0
+2023-11-14,37.86,37.25,37.47,12584807.0
+2023-11-15,37.79,37.2,37.46,12577062.0
+2023-11-16,37.64,37.1,37.12,9529064.0
+2023-11-17,37.25,36.82,36.95,10533953.0
+2023-11-20,38.32,36.96,38.12,31900174.0
+2023-11-21,38.83,38.02,38.28,25437473.0
+2023-11-22,39.1,37.99,38.55,23930443.0
+2023-11-23,38.85,38.2,38.49,14034587.0
+2023-11-24,39.18,38.25,38.94,23583649.0
+2023-11-27,39.78,38.93,39.41,28806123.0
+2023-11-28,39.4,38.56,38.78,18399405.0
+2023-11-29,39.12,38.41,38.83,16507397.0
+2023-11-30,39.18,38.76,39.08,12827372.0
+2023-12-01,39.08,38.51,38.58,13105211.0
+2023-12-04,40.35,38.08,39.91,40882704.0
+2023-12-05,40.55,39.27,39.3,25336503.0
+2023-12-06,40.99,39.0,40.63,36832065.0
+2023-12-07,41.06,40.12,40.88,27847371.0
+2023-12-08,41.12,40.05,40.1,21196716.0
+2023-12-11,40.9,39.51,40.74,18132524.0
+2023-12-12,40.88,40.0,40.47,11476833.0
+2023-12-13,40.59,39.89,39.99,14786443.0
+2023-12-14,40.39,38.21,39.47,29212853.0
+2023-12-15,39.68,38.9,39.39,15303213.0
+2023-12-18,40.33,39.11,39.97,17017014.0
+2023-12-19,40.07,39.36,39.81,9682566.0
+2023-12-20,39.96,39.03,39.2,12842407.0
+2023-12-21,39.68,38.42,39.51,16839406.0
+2023-12-22,40.29,39.28,39.91,15904140.0
+2023-12-25,40.05,39.01,39.68,12251834.0
+2023-12-26,39.8,39.3,39.46,9234697.0
+2023-12-27,40.99,39.5,40.98,31647041.0
+2023-12-28,41.08,40.52,40.78,18077904.0
+2023-12-29,41.66,40.6,41.18,21017105.0
+2024-01-02,41.86,40.9,41.5,17324253.0
+2024-01-03,42.05,40.77,41.07,15142407.0
+2024-01-04,41.19,40.64,40.96,13103602.0
+2024-01-05,41.0,40.2,40.44,16109095.0
+2024-01-08,40.64,39.07,39.07,25356529.0
+2024-01-09,39.17,38.6,38.65,17449103.0
+2024-01-10,38.84,35.25,36.73,60063998.0
+2024-01-11,37.96,36.49,36.92,38506924.0
+2024-01-12,38.11,36.35,37.71,23938779.0
+2024-01-15,38.12,36.95,37.03,18748295.0
+2024-01-16,37.79,36.85,37.57,20395842.0
+2024-01-17,38.15,36.72,36.74,19078685.0
+2024-01-18,37.29,35.69,37.12,25548353.0
+2024-01-19,37.39,36.5,36.73,16137284.0
+2024-01-22,36.9,35.5,35.86,22251928.0
+2024-01-23,36.1,35.41,35.83,16702994.0
+",
+CN,technical,计算海尔智家2023年05月12日的蔡金振荡指标的值。（标准版：快线3，慢线10；从前60个数据开始计算，EMA初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-27807418.1678,easy,volume,ChaikinOsc = EMA_{n_{fast}}(ADL) - EMA_{n_{slow}}(ADL),"date,high,low,close,volume
+2023-02-13,26.77,26.0,26.7,21380110.0
+2023-02-14,26.85,26.56,26.77,13831700.0
+2023-02-15,26.78,26.16,26.26,17796911.0
+2023-02-16,26.85,26.1,26.3,21854544.0
+2023-02-17,26.52,25.88,25.94,13679426.0
+2023-02-20,27.7,25.97,27.55,47885877.0
+2023-02-21,27.69,27.23,27.6,20527891.0
+2023-02-22,27.6,27.15,27.41,17601814.0
+2023-02-23,27.85,26.99,27.14,22696652.0
+2023-02-24,27.14,26.39,26.54,27798811.0
+2023-02-27,26.51,25.91,26.24,23511972.0
+2023-02-28,26.55,25.93,26.31,26371810.0
+2023-03-01,26.65,25.43,26.17,41861398.0
+2023-03-02,26.24,25.81,26.0,34486676.0
+2023-03-03,26.22,25.8,25.98,27295377.0
+2023-03-06,25.91,25.21,25.25,36738343.0
+2023-03-07,25.48,24.65,24.78,31528822.0
+2023-03-08,24.76,24.34,24.58,23755517.0
+2023-03-09,24.63,24.08,24.15,32487373.0
+2023-03-10,24.15,23.5,23.5,31284588.0
+2023-03-13,24.45,23.59,24.11,41640143.0
+2023-03-14,24.1,23.3,23.58,32525560.0
+2023-03-15,23.92,23.56,23.7,23835217.0
+2023-03-16,23.83,23.46,23.71,15619765.0
+2023-03-17,23.96,23.32,23.38,30873564.0
+2023-03-20,23.63,23.05,23.08,29783925.0
+2023-03-21,23.95,23.09,23.83,31645280.0
+2023-03-22,24.09,23.38,23.48,26763171.0
+2023-03-23,23.62,23.3,23.4,20648294.0
+2023-03-24,23.56,23.15,23.48,25021900.0
+2023-03-27,23.71,23.22,23.36,29239529.0
+2023-03-28,23.5,23.1,23.41,27197234.0
+2023-03-29,23.56,23.25,23.49,26726222.0
+2023-03-30,24.39,23.37,24.22,50438767.0
+2023-03-31,23.89,22.55,22.68,130461595.0
+2023-04-03,23.1,22.2,22.28,95872774.0
+2023-04-04,22.41,21.57,22.0,73414842.0
+2023-04-06,22.3,21.79,22.29,38539584.0
+2023-04-07,22.7,22.17,22.49,34415955.0
+2023-04-10,22.65,22.4,22.55,24974387.0
+2023-04-11,22.99,22.58,22.72,45644702.0
+2023-04-12,23.5,22.77,22.99,49481744.0
+2023-04-13,22.96,22.64,22.78,31742472.0
+2023-04-14,23.08,22.72,22.76,28296700.0
+2023-04-17,23.45,22.73,23.4,56376765.0
+2023-04-18,23.64,23.21,23.52,40535499.0
+2023-04-19,23.5,22.8,22.93,41141465.0
+2023-04-20,23.65,22.88,23.49,55081050.0
+2023-04-21,23.65,23.01,23.05,38993950.0
+2023-04-24,23.35,22.42,22.61,34878207.0
+2023-04-25,22.74,22.1,22.49,28641537.0
+2023-04-26,22.82,22.25,22.46,19978499.0
+2023-04-27,22.55,22.12,22.45,28879148.0
+2023-04-28,23.82,23.11,23.7,75011476.0
+2023-05-04,23.95,23.46,23.5,40950071.0
+2023-05-05,23.75,22.51,22.6,43462173.0
+2023-05-08,22.7,22.12,22.38,36159307.0
+2023-05-09,22.69,22.17,22.26,34742300.0
+2023-05-10,22.83,22.17,22.64,27457295.0
+2023-05-11,22.9,22.33,22.37,22193239.0
+2023-05-12,22.84,22.3,22.41,28337069.0
+",
+CN,technical,华润三九2022年01月07日至2022年05月22日的年化收益率的值是？（A股按一年242个交易日；单位：%）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,19.4118,easy,return,((P_T / P_0)^{242 / N} - 1) * 100%,"date,close
+2022-01-07,37.95
+2022-05-20,40.39
+",
+CN,technical,2023年06月24日到2024年03月31日，软通动力的年化收益率是多少？（A股按一年242个交易日；单位：%）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,94.7208,easy,return,((P_T / P_0)^{242 / N} - 1) * 100%,"date,close
+2023-06-26,27.85
+2024-03-29,46.48
+",
+CN,technical,中国国航的年化收益率，在2023年06月12日-2024年03月16日期间为多少？（A股按一年242个交易日；单位：%）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-12.3771,easy,return,((P_T / P_0)^{242 / N} - 1) * 100%,"date,close
+2023-06-12,8.37
+2024-03-15,7.57
+",
+CN,technical,对于2023年03月02日-2024年01月08日的年化收益率，双汇发展的值是？（A股按一年242个交易日；单位：%）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-0.0869,easy,return,((P_T / P_0)^{242 / N} - 1) * 100%,"date,close
+2023-03-02,26.66
+2024-01-08,26.64
+",
+CN,technical,计算爱美客2022年10月24日至2023年03月08日的年化收益率。（A股按一年242个交易日；单位：%）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,110.5469,easy,return,((P_T / P_0)^{242 / N} - 1) * 100%,"date,close
+2022-10-24,427.0
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+CN,technical,盐湖股份2024年12月17日至2025年06月18日的年化波动率的值是？（A股按一年242个交易日；单位：%）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,22.3338,easy,risk,r_t = P_t / P_{t-1} - 1；AnnVol = \sigma(r) * \sqrt{242} * 100%,"date,close
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+CN,technical,2024年11月17日到2025年07月07日，中国铝业的年化波动率是多少？（A股按一年242个交易日；单位：%）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,27.7761,easy,risk,r_t = P_t / P_{t-1} - 1；AnnVol = \sigma(r) * \sqrt{242} * 100%,"date,close
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+CN,technical,华夏银行的年化波动率，在2020年03月03日-2021年01月17日期间为多少？（A股按一年242个交易日；单位：%）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,18.735,easy,risk,r_t = P_t / P_{t-1} - 1；AnnVol = \sigma(r) * \sqrt{242} * 100%,"date,close
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+CN,technical,对于2024年01月27日-2024年09月19日的年化波动率，长城汽车的值是？（A股按一年242个交易日；单位：%）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,33.1005,easy,risk,r_t = P_t / P_{t-1} - 1；AnnVol = \sigma(r) * \sqrt{242} * 100%,"date,close
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+CN,technical,计算传音控股2020年08月24日至2021年02月05日的年化波动率。（A股按一年242个交易日；单位：%）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,69.6107,easy,risk,r_t = P_t / P_{t-1} - 1；AnnVol = \sigma(r) * \sqrt{242} * 100%,"date,close
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+CN,technical,恒瑞医药2019年03月21日至2020年02月14日的偏度的值是？使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-0.9312,easy,risk,Skew(r) = E[(r - \mu)^3] / \sigma^3,"date,close
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+CN,technical,春秋航空的偏度，在2023年07月30日-2023年08月26日期间为多少？使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.314,easy,risk,Skew(r) = E[(r - \mu)^3] / \sigma^3,"date,close
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+CN,technical,对于2023年02月26日-2023年10月13日的偏度，歌尔股份的值是？使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.289,easy,risk,Skew(r) = E[(r - \mu)^3] / \sigma^3,"date,close
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+2023-06-21,17.94
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+2023-06-29,17.73
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+2023-10-12,18.35
+2023-10-13,18.33
+",
+CN,technical,计算中国核电2023年04月29日至2023年08月13日的偏度。使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.3689,easy,risk,Skew(r) = E[(r - \mu)^3] / \sigma^3,"date,close
+2023-04-28,6.9
+2023-05-04,7.16
+2023-05-05,7.09
+2023-05-08,7.23
+2023-05-09,7.09
+2023-05-10,7.12
+2023-05-11,7.16
+2023-05-12,7.16
+2023-05-15,7.02
+2023-05-16,7.01
+2023-05-17,7.1
+2023-05-18,7.07
+2023-05-19,6.93
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+2023-05-23,6.87
+2023-05-24,6.78
+2023-05-25,6.86
+2023-05-26,6.98
+2023-05-29,7.09
+2023-05-30,7.13
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+2023-06-01,7.0
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+2023-06-06,6.7
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+2023-08-07,7.46
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+2023-08-11,7.19
+",
+CN,technical,伊利股份2023年11月10日至2024年02月13日的超额峰度的值是？使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.5601,easy,risk,Kurt(r) = E[(r - \mu)^4] / \sigma^4 - 3,"date,close
+2023-11-09,27.63
+2023-11-10,27.52
+2023-11-13,27.43
+2023-11-14,27.27
+2023-11-15,27.26
+2023-11-16,27.02
+2023-11-17,26.95
+2023-11-20,27.16
+2023-11-21,27.45
+2023-11-22,27.2
+2023-11-23,27.31
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+2023-11-27,27.18
+2023-11-28,27.27
+2023-11-29,27.05
+2023-11-30,27.25
+2023-12-01,27.05
+2023-12-04,26.8
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+2023-12-13,25.83
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+2024-02-05,27.65
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+2024-02-08,28.18
+",
+CN,technical,2022年02月03日到2022年02月21日，格力电器的超额峰度是多少？使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.2481,easy,risk,Kurt(r) = E[(r - \mu)^4] / \sigma^4 - 3,"date,close
+2022-01-28,37.83
+2022-02-07,38.22
+2022-02-08,38.49
+2022-02-09,38.58
+2022-02-10,38.74
+2022-02-11,39.9
+2022-02-14,39.76
+2022-02-15,39.14
+2022-02-16,39.22
+2022-02-17,38.64
+2022-02-18,39.04
+2022-02-21,38.83
+",
+CN,technical,阳光电源的超额峰度，在2020年11月18日-2021年01月27日期间为多少？使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-0.6316,easy,risk,Kurt(r) = E[(r - \mu)^4] / \sigma^4 - 3,"date,close
+2020-11-17,44.99
+2020-11-18,44.1
+2020-11-19,43.92
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+2020-11-23,50.9
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+2020-11-30,48.06
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+2021-01-22,98.8
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+",
+CN,technical,对于2024年04月29日-2024年08月01日的超额峰度，隆基绿能的值是？使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.1864,easy,risk,Kurt(r) = E[(r - \mu)^4] / \sigma^4 - 3,"date,close
+2024-04-26,18.62
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+2024-08-01,14.37
+",
+CN,technical,计算包钢股份2023年07月23日至2024年03月19日的超额峰度。使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,6.1,easy,risk,Kurt(r) = E[(r - \mu)^4] / \sigma^4 - 3,"date,close
+2023-07-21,1.8
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+2023-08-07,1.9
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+2024-03-12,1.53
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+2024-03-14,1.52
+2024-03-15,1.58
+2024-03-18,1.58
+2024-03-19,1.7
+",
+CN,technical,海天味业2021年03月17日至2021年12月08日的下行偏差的值是？（默认目标收益率为0；无需年化）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0228,easy,risk,"DD = \sqrt{1 / N * \sum_{t=1}^{N} min(r_t - rf, 0)^2}","date,close
+2021-03-16,151.95
+2021-03-17,152.87
+2021-03-18,157.27
+2021-03-19,152.05
+2021-03-22,151.66
+2021-03-23,148.5
+2021-03-24,146.51
+2021-03-25,147.91
+2021-03-26,150.45
+2021-03-29,152.06
+2021-03-30,157.58
+2021-03-31,159.8
+2021-04-01,165.42
+2021-04-02,170.4
+2021-04-06,167.33
+2021-04-07,170.23
+2021-04-08,175.4
+2021-04-09,171.79
+2021-04-12,168.85
+2021-04-13,170.6
+2021-04-14,169.63
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+CN,technical,2023年05月01日到2024年01月30日，润泽科技的下行偏差是多少？（默认目标收益率为0；无需年化）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0386,easy,risk,"DD = \sqrt{1 / N * \sum_{t=1}^{N} min(r_t - rf, 0)^2}","date,close
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+CN,technical,通威股份的下行偏差，在2024年11月08日-2025年09月27日期间为多少？（默认目标收益率为0；无需年化）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0188,easy,risk,"DD = \sqrt{1 / N * \sum_{t=1}^{N} min(r_t - rf, 0)^2}","date,close
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+",
+CN,technical,对于2024年01月11日-2024年05月16日的下行偏差，中国广核的值是？（默认目标收益率为0；无需年化）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0118,easy,risk,"DD = \sqrt{1 / N * \sum_{t=1}^{N} min(r_t - rf, 0)^2}","date,close
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+",
+CN,technical,计算天赐材料2022年02月03日至2022年06月07日的下行偏差。（默认目标收益率为0；无需年化）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0615,easy,risk,"DD = \sqrt{1 / N * \sum_{t=1}^{N} min(r_t - rf, 0)^2}","date,close
+2022-01-28,94.22
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+",
+CN,technical,南方航空2021年11月26日至2022年02月11日的最大回撤的值是？（取绝对值；单位：%）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,5.3846,easy,risk,MDD = max_{t} (1 - P_t / max_{s \le t} P_s) * 100%,"date,close
+2021-11-26,6.44
+2021-11-29,6.2
+2021-11-30,6.12
+2021-12-01,6.2
+2021-12-02,6.19
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+2022-02-09,7.56
+2022-02-10,7.8
+2022-02-11,7.62
+",
+CN,technical,2024年06月26日到2024年12月21日，中国神华的最大回撤是多少？（取绝对值；单位：%）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,19.7817,easy,risk,MDD = max_{t} (1 - P_t / max_{s \le t} P_s) * 100%,"date,close
+2024-06-26,43.75
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+",
+CN,technical,中国银河的最大回撤，在2021年02月21日-2021年12月28日期间为多少？（取绝对值；单位：%）使用不复权价格，写出指标公式，搜集���始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,15.7383,easy,risk,MDD = max_{t} (1 - P_t / max_{s \le t} P_s) * 100%,"date,close
+2021-02-22,10.73
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+2021-12-28,11.01
+",
+CN,technical,对于2021年08月18日-2021年09月18日的最大回撤，三六零的值是？（取绝对值；单位：%）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,4.9715,easy,risk,MDD = max_{t} (1 - P_t / max_{s \le t} P_s) * 100%,"date,close
+2021-08-18,12.04
+2021-08-19,12.02
+2021-08-20,11.83
+2021-08-23,11.99
+2021-08-24,12.11
+2021-08-25,12.27
+2021-08-26,11.96
+2021-08-27,11.78
+2021-08-30,11.66
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+2021-09-01,12.08
+2021-09-02,12.07
+2021-09-03,12.18
+2021-09-06,12.19
+2021-09-07,12.5
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+2021-09-09,12.47
+2021-09-10,12.38
+2021-09-13,12.54
+2021-09-14,12.49
+2021-09-15,12.44
+2021-09-16,12.55
+2021-09-17,12.35
+",
+CN,technical,计算石头科技2024年12月01日至2025年10月31日的最大回撤。（取绝对值；单位：%）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,46.6387,easy,risk,MDD = max_{t} (1 - P_t / max_{s \le t} P_s) * 100%,"date,close
+2024-12-02,222.51
+2024-12-03,222.54
+2024-12-04,217.8
+2024-12-05,218.11
+2024-12-06,226.0
+2024-12-09,226.51
+2024-12-10,231.64
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+CN,technical,对于2020年11月29日-2021年07月28日的跟踪误差，招商轮船的值是？（需年化，A股按一年242个交易日）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.4612,easy,risk,TE = \sigma(r - r_b) * \sqrt{242}；r_b 为基准日收益率,"date,close,benchmark_close
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+",
+CN,technical,计算中国石化2023年03月21日至2023年06月03日的跟踪误差。（需年化，A股按一年242个交易日）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.3304,easy,risk,TE = \sigma(r - r_b) * \sqrt{242}；r_b 为基准日收益率,"date,close,benchmark_close
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+",
+CN,technical,江西铜业2024年03月05日至2024年06月02日的信息比率的值是？（需年化（用复合年化收益率），A股按一年242个交易日）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,4.4216,easy,risk-adjusted return,IR = (AnnRet - AnnRet_b) / TE；TE = \sigma(r - r_b) * \sqrt{242}；r_b 为基准日收益率,"date,close,benchmark_close
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+CN,technical,2022年10月20日到2023年04月29日，中国交建的信息比率是多少？（需年化（用复合年化收益率），A股按一年242个交易日）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.898,easy,risk-adjusted return,IR = (AnnRet - AnnRet_b) / TE；TE = \sigma(r - r_b) * \sqrt{242}；r_b 为基准日收益率,"date,close,benchmark_close
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+CN,technical,新华保险的信息比率，在2023年03月25日-2024年02月22日期间为多少？（需年化（用复合年化收益率），A股按一年242个交易日）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0134,easy,risk-adjusted return,IR = (AnnRet - AnnRet_b) / TE；TE = \sigma(r - r_b) * \sqrt{242}；r_b 为基准日收益率,"date,close,benchmark_close
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+CN,technical,对于2021年05月07日-2021年06月29日的信息比率，海螺水泥的值是？（需年化（用复合年化收益率），A股按一年242个交易日）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-3.4195,easy,risk-adjusted return,IR = (AnnRet - AnnRet_b) / TE；TE = \sigma(r - r_b) * \sqrt{242}；r_b 为基准日收益率,"date,close,benchmark_close
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+CN,technical,计算山金国际2021年05月02日至2021年09月14日的信息比率。（需年化（用复合年化收益率），A股按一年242个交易日）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.0371,easy,risk-adjusted return,IR = (AnnRet - AnnRet_b) / TE；TE = \sigma(r - r_b) * \sqrt{242}；r_b 为基准日收益率,"date,close,benchmark_close
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+CN,technical,计算用友网络2025年04月09日至2025年07月30日的索提诺比率。（默认目标收益率为0；需年化（用复合年化收益率），A股按一年242个交易日）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.9257,easy,risk-adjusted return,Sortino = (AnnRet - rf) / (DD * \sqrt{242}),"date,close
+2025-04-08,13.1
+2025-04-09,13.49
+2025-04-10,13.61
+2025-04-11,13.79
+2025-04-14,13.9
+2025-04-15,13.77
+2025-04-16,13.59
+2025-04-17,13.88
+2025-04-18,13.55
+2025-04-21,14.19
+2025-04-22,13.75
+2025-04-23,13.83
+2025-04-24,13.52
+2025-04-25,13.7
+2025-04-28,13.62
+2025-04-29,13.82
+2025-04-30,14.59
+2025-05-06,14.76
+2025-05-07,14.51
+2025-05-08,14.5
+2025-05-09,13.96
+2025-05-12,14.16
+2025-05-13,14.15
+2025-05-14,14.19
+2025-05-15,13.47
+2025-05-16,13.33
+2025-05-19,13.3
+2025-05-20,13.34
+2025-05-21,13.21
+2025-05-22,13.12
+2025-05-23,12.92
+2025-05-26,13.19
+2025-05-27,13.15
+2025-05-28,12.95
+2025-05-29,13.48
+2025-05-30,13.05
+2025-06-03,13.04
+2025-06-04,13.2
+2025-06-05,13.62
+2025-06-06,13.71
+2025-06-09,14.46
+2025-06-10,13.74
+2025-06-11,13.52
+2025-06-12,13.31
+2025-06-13,13.07
+2025-06-16,13.06
+2025-06-17,13.01
+2025-06-18,12.91
+2025-06-19,12.73
+2025-06-20,12.4
+2025-06-23,12.72
+2025-06-24,12.86
+2025-06-25,13.15
+2025-06-26,13.16
+2025-06-27,13.1
+2025-06-30,13.37
+2025-07-01,13.1
+2025-07-02,12.97
+2025-07-03,12.96
+2025-07-04,12.83
+2025-07-07,12.8
+2025-07-08,13.09
+2025-07-09,12.99
+2025-07-10,12.96
+2025-07-11,13.55
+2025-07-14,13.13
+2025-07-15,14.44
+2025-07-16,14.4
+2025-07-17,14.29
+2025-07-18,14.33
+2025-07-21,14.24
+2025-07-22,13.92
+2025-07-23,14.17
+2025-07-24,14.46
+2025-07-25,14.65
+2025-07-28,14.36
+2025-07-29,14.88
+2025-07-30,14.66
+",
+CN,technical,东方财富2019年12月21日至2020年06月20日的卡玛比率的值是？（收益率需年化（用复合年化收益率），A股按一年242个交易日）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.6245,easy,risk-adjusted return,Calmar = AnnRet / MDD,"date,close
+2019-12-23,14.96
+2019-12-24,15.19
+2019-12-25,15.19
+2019-12-26,15.49
+2019-12-27,15.06
+2019-12-30,15.79
+2019-12-31,15.77
+2020-01-02,15.9
+2020-01-03,16.0
+2020-01-06,16.15
+2020-01-07,16.14
+2020-01-08,15.54
+2020-01-09,16.01
+2020-01-10,16.11
+2020-01-13,16.19
+2020-01-14,15.87
+2020-01-15,15.75
+2020-01-16,15.7
+2020-01-17,15.75
+2020-01-20,16.03
+2020-01-21,15.6
+2020-01-22,15.87
+2020-01-23,15.08
+2020-02-03,13.57
+2020-02-04,13.55
+2020-02-05,13.86
+2020-02-06,14.62
+2020-02-07,14.62
+2020-02-10,14.7
+2020-02-11,14.56
+2020-02-12,14.99
+2020-02-13,14.64
+2020-02-14,15.3
+2020-02-17,15.91
+2020-02-18,15.74
+2020-02-19,15.76
+2020-02-20,17.34
+2020-02-21,18.5
+2020-02-24,18.66
+2020-02-25,19.95
+2020-02-26,18.73
+2020-02-27,18.98
+2020-02-28,17.35
+2020-03-02,18.18
+2020-03-03,18.45
+2020-03-04,19.32
+2020-03-05,20.17
+2020-03-06,19.17
+2020-03-09,17.99
+2020-03-10,19.0
+2020-03-11,18.17
+2020-03-12,18.11
+2020-03-13,17.93
+2020-03-16,16.47
+2020-03-17,16.78
+2020-03-18,16.16
+2020-03-19,16.73
+2020-03-20,16.88
+2020-03-23,16.03
+2020-03-24,16.68
+2020-03-25,16.88
+2020-03-26,16.59
+2020-03-27,16.64
+2020-03-30,16.34
+2020-03-31,16.05
+2020-04-01,16.07
+2020-04-02,16.62
+2020-04-03,16.23
+2020-04-07,16.77
+2020-04-08,16.74
+2020-04-09,17.45
+2020-04-10,17.13
+2020-04-13,17.68
+2020-04-14,17.9
+2020-04-15,17.32
+2020-04-16,17.57
+2020-04-17,17.64
+2020-04-20,17.7
+2020-04-21,17.38
+2020-04-22,17.42
+2020-04-23,17.14
+2020-04-24,16.82
+2020-04-27,16.71
+2020-04-28,17.23
+2020-04-29,17.48
+2020-04-30,18.24
+2020-05-06,18.42
+2020-05-07,18.14
+2020-05-08,18.4
+2020-05-11,18.25
+2020-05-12,18.2
+2020-05-13,18.25
+2020-05-14,17.89
+2020-05-15,17.91
+2020-05-18,18.03
+2020-05-19,18.26
+2020-05-20,17.95
+2020-05-21,14.68
+2020-05-22,14.19
+2020-05-25,14.13
+2020-05-26,14.41
+2020-05-27,14.23
+2020-05-28,14.4
+2020-05-29,14.25
+2020-06-01,15.44
+2020-06-02,15.35
+2020-06-03,15.25
+2020-06-04,15.25
+2020-06-05,15.37
+2020-06-08,15.16
+2020-06-09,15.72
+2020-06-10,15.81
+2020-06-11,15.81
+2020-06-12,16.13
+2020-06-15,16.23
+2020-06-16,16.5
+2020-06-17,16.42
+2020-06-18,16.95
+2020-06-19,18.15
+",
+CN,technical,2021年06月09日到2021年07月04日，泸州老窖的卡玛比率是多少？（收益率需年化（用复合年化收益率），A股按一年242个交易日）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-5.8278,easy,risk-adjusted return,Calmar = AnnRet / MDD,"date,close
+2021-06-09,262.2
+2021-06-10,266.71
+2021-06-11,258.25
+2021-06-15,249.86
+2021-06-16,242.58
+2021-06-17,242.45
+2021-06-18,232.8
+2021-06-21,236.5
+2021-06-22,232.02
+2021-06-23,225.98
+2021-06-24,231.0
+2021-06-25,234.93
+2021-06-28,235.5
+2021-06-29,228.15
+2021-06-30,235.94
+2021-07-01,236.0
+2021-07-02,226.6
+",
+CN,technical,农业银行的卡玛比率，在2022年07月23日-2023年02月19日期间为多少？（收益率需年化（用复合年化收益率），A股按一年242个交易日）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.6724,easy,risk-adjusted return,Calmar = AnnRet / MDD,"date,close
+2022-07-25,2.86
+2022-07-26,2.86
+2022-07-27,2.84
+2022-07-28,2.85
+2022-07-29,2.85
+2022-08-01,2.84
+2022-08-02,2.81
+2022-08-03,2.8
+2022-08-04,2.86
+2022-08-05,2.86
+2022-08-08,2.84
+2022-08-09,2.84
+2022-08-10,2.84
+2022-08-11,2.85
+2022-08-12,2.83
+2022-08-15,2.83
+2022-08-16,2.82
+2022-08-17,2.83
+2022-08-18,2.82
+2022-08-19,2.83
+2022-08-22,2.82
+2022-08-23,2.82
+2022-08-24,2.82
+2022-08-25,2.83
+2022-08-26,2.82
+2022-08-29,2.82
+2022-08-30,2.82
+2022-08-31,2.85
+2022-09-01,2.83
+2022-09-02,2.83
+2022-09-05,2.84
+2022-09-06,2.84
+2022-09-07,2.83
+2022-09-08,2.83
+2022-09-09,2.84
+2022-09-13,2.85
+2022-09-14,2.85
+2022-09-15,2.87
+2022-09-16,2.85
+2022-09-19,2.87
+2022-09-20,2.84
+2022-09-21,2.86
+2022-09-22,2.86
+2022-09-23,2.88
+2022-09-26,2.85
+2022-09-27,2.83
+2022-09-28,2.85
+2022-09-29,2.82
+2022-09-30,2.86
+2022-10-10,2.87
+2022-10-11,2.87
+2022-10-12,2.86
+2022-10-13,2.86
+2022-10-14,2.85
+2022-10-17,2.85
+2022-10-18,2.85
+2022-10-19,2.84
+2022-10-20,2.85
+2022-10-21,2.86
+2022-10-24,2.85
+2022-10-25,2.85
+2022-10-26,2.83
+2022-10-27,2.8
+2022-10-28,2.8
+2022-10-31,2.76
+2022-11-01,2.73
+2022-11-02,2.72
+2022-11-03,2.72
+2022-11-04,2.75
+2022-11-07,2.75
+2022-11-08,2.73
+2022-11-09,2.75
+2022-11-10,2.76
+2022-11-11,2.79
+2022-11-14,2.8
+2022-11-15,2.8
+2022-11-16,2.79
+2022-11-17,2.79
+2022-11-18,2.79
+2022-11-21,2.79
+2022-11-22,2.81
+2022-11-23,2.84
+2022-11-24,2.83
+2022-11-25,2.87
+2022-11-28,2.86
+2022-11-29,2.88
+2022-11-30,2.88
+2022-12-01,2.86
+2022-12-02,2.86
+2022-12-05,2.89
+2022-12-06,2.89
+2022-12-07,2.88
+2022-12-08,2.9
+2022-12-09,2.89
+2022-12-12,2.86
+2022-12-13,2.88
+2022-12-14,2.89
+2022-12-15,2.88
+2022-12-16,2.9
+2022-12-19,2.88
+2022-12-20,2.85
+2022-12-21,2.85
+2022-12-22,2.86
+2022-12-23,2.87
+2022-12-26,2.85
+2022-12-27,2.89
+2022-12-28,2.9
+2022-12-29,2.88
+2022-12-30,2.91
+2023-01-03,2.9
+2023-01-04,2.93
+2023-01-05,2.93
+2023-01-06,2.92
+2023-01-09,2.92
+2023-01-10,2.91
+2023-01-11,2.91
+2023-01-12,2.92
+2023-01-13,2.94
+2023-01-16,2.91
+2023-01-17,2.91
+2023-01-18,2.92
+2023-01-19,2.92
+2023-01-20,2.92
+2023-01-30,2.92
+2023-01-31,2.91
+2023-02-01,2.92
+2023-02-02,2.92
+2023-02-03,2.91
+2023-02-06,2.92
+2023-02-07,2.92
+2023-02-08,2.92
+2023-02-09,2.93
+2023-02-10,2.93
+2023-02-13,2.92
+2023-02-14,2.91
+2023-02-15,2.91
+2023-02-16,2.91
+2023-02-17,2.92
+",
+CN,technical,对于2022年08月16日-2022年10月25日的卡玛比率，中油资本的值是？（收益率需年化（用复合年化收益率），A股按一年242个交易日）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-1.8077,easy,risk-adjusted return,Calmar = AnnRet / MDD,"date,close
+2022-08-16,4.76
+2022-08-17,4.79
+2022-08-18,4.73
+2022-08-19,4.94
+2022-08-22,4.96
+2022-08-23,4.94
+2022-08-24,4.95
+2022-08-25,5.0
+2022-08-26,4.88
+2022-08-29,4.95
+2022-08-30,4.94
+2022-08-31,4.86
+2022-09-01,4.82
+2022-09-02,5.04
+2022-09-05,5.19
+2022-09-06,5.19
+2022-09-07,5.21
+2022-09-08,4.99
+2022-09-09,5.05
+2022-09-13,5.07
+2022-09-14,4.99
+2022-09-15,5.06
+2022-09-16,4.86
+2022-09-19,4.72
+2022-09-20,4.74
+2022-09-21,4.81
+2022-09-22,4.78
+2022-09-23,4.73
+2022-09-26,4.57
+2022-09-27,4.62
+2022-09-28,4.53
+2022-09-29,4.47
+2022-09-30,4.48
+2022-10-10,4.51
+2022-10-11,4.49
+2022-10-12,4.57
+2022-10-13,4.57
+2022-10-14,4.62
+2022-10-17,4.63
+2022-10-18,4.61
+2022-10-19,4.57
+2022-10-20,4.59
+2022-10-21,4.57
+2022-10-24,4.5
+2022-10-25,4.51
+",
+CN,technical,计算华勤技术2023年12月15日至2024年03月22日的卡玛比率。（收益率需年化（用复合年化收益率），A股按一年242个交易日）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-0.527,easy,risk-adjusted return,Calmar = AnnRet / MDD,"date,close
+2023-12-15,79.12
+2023-12-18,77.43
+2023-12-19,77.84
+2023-12-20,77.64
+2023-12-21,77.2
+2023-12-22,74.1
+2023-12-25,75.98
+2023-12-26,73.29
+2023-12-27,77.03
+2023-12-28,76.5
+2023-12-29,79.89
+2024-01-02,78.51
+2024-01-03,75.45
+2024-01-04,74.99
+2024-01-05,74.3
+2024-01-08,74.39
+2024-01-09,74.23
+2024-01-10,70.73
+2024-01-11,71.31
+2024-01-12,68.45
+2024-01-15,69.37
+2024-01-16,69.75
+2024-01-17,67.51
+2024-01-18,68.15
+2024-01-19,67.18
+2024-01-22,64.3
+2024-01-23,66.18
+2024-01-24,67.23
+2024-01-25,66.4
+2024-01-26,62.78
+2024-01-29,62.47
+2024-01-30,59.44
+2024-01-31,57.77
+2024-02-01,58.01
+2024-02-02,55.12
+2024-02-05,53.01
+2024-02-06,55.19
+2024-02-07,54.62
+2024-02-08,57.52
+2024-02-19,60.65
+2024-02-20,60.15
+2024-02-21,62.53
+2024-02-22,63.07
+2024-02-23,65.97
+2024-02-26,66.65
+2024-02-27,68.55
+2024-02-28,66.0
+2024-02-29,68.22
+2024-03-01,73.3
+2024-03-04,78.69
+2024-03-05,77.77
+2024-03-06,76.83
+2024-03-07,76.45
+2024-03-08,77.39
+2024-03-11,75.93
+2024-03-12,76.3
+2024-03-13,75.81
+2024-03-14,73.8
+2024-03-15,73.3
+2024-03-18,76.01
+2024-03-19,76.14
+2024-03-20,76.5
+2024-03-21,75.88
+2024-03-22,75.2
+",
+CN,technical,牧原股份2021年02月27日至2022年02月13日的特雷诺比率的值是？（默认无风险利率为0；收益率需年化（用复合年化收益率），A股按一年242个交易日）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-0.3829,easy,risk-adjusted return,"Treynor = (AnnRet - rf) / \beta；\beta = cov(r, r_m) / var(r_m)","date,close,market_close
+2021-02-26,113.9,5336.76
+2021-03-01,118.88,5418.78
+2021-03-02,119.22,5349.63
+2021-03-03,120.99,5452.21
+2021-03-04,118.4,5280.71
+2021-03-05,112.91,5262.8
+2021-03-08,110.2,5080.02
+2021-03-09,105.84,4971.0
+2021-03-10,105.65,5003.61
+2021-03-11,107.16,5128.22
+2021-03-12,107.67,5146.38
+2021-03-15,103.82,5035.54
+2021-03-16,101.47,5079.36
+2021-03-17,109.51,5100.86
+2021-03-18,109.94,5141.77
+2021-03-19,104.95,5007.09
+2021-03-22,104.94,5057.15
+2021-03-23,102.25,5009.25
+2021-03-24,100.96,4928.69
+2021-03-25,98.7,4926.35
+2021-03-26,97.6,5037.99
+2021-03-29,98.19,5046.88
+2021-03-30,100.36,5094.73
+2021-03-31,100.03,5048.36
+2021-04-01,104.0,5110.78
+2021-04-02,105.9,5161.56
+2021-04-06,105.07,5140.34
+2021-04-07,103.9,5103.74
+2021-04-08,102.16,5112.21
+2021-04-09,102.45,5035.34
+2021-04-12,101.63,4947.75
+2021-04-13,102.63,4939.64
+2021-04-14,102.18,4980.63
+2021-04-15,104.38,4948.97
+2021-04-16,101.02,4966.18
+2021-04-19,106.94,5087.02
+2021-04-20,111.9,5083.37
+2021-04-21,110.6,5098.74
+2021-04-22,109.99,5089.24
+2021-04-23,111.15,5135.45
+2021-04-26,106.97,5077.24
+2021-04-27,105.01,5090.52
+2021-04-28,108.33,5119.24
+2021-04-29,114.68,5164.17
+2021-04-30,113.11,5123.49
+2021-05-06,104.8,5061.12
+2021-05-07,106.09,4996.05
+2021-05-10,100.0,4992.42
+2021-05-11,100.17,5023.06
+2021-05-12,101.0,5044.55
+2021-05-13,98.5,4992.97
+2021-05-14,99.95,5110.59
+2021-05-17,101.8,5184.99
+2021-05-18,100.18,5187.6
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+CN,technical,计算卫星化学2023年04月13日至2023年08月03日的特雷诺比率。（默认无风险利率为0；收益率需年化（用复合年化收益率），A股按一年242个交易日）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0548,easy,risk-adjusted return,"Treynor = (AnnRet - rf) / \beta；\beta = cov(r, r_m) / var(r_m)","date,close,market_close
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+CN,technical,石头科技2023年04月22日至2023年07月11日的莫迪利安尼比率的值是？（默认无风险利率为0；收益率需年化（用复合年化收益率），A股按一年242个交易日）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0778,easy,risk-adjusted return,M^2 = rf + (AnnRet - rf) / \sigma(r) * \sigma(r_b),"date,close,benchmark_close
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+CN,technical,2022年06月16日到2022年10月05日，金龙鱼的莫迪利安尼比率是多少？（默认无风险利率为0；收益率需年化（用复合年化收益率），A股按一年242个交易日）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-0.1467,easy,risk-adjusted return,M^2 = rf + (AnnRet - rf) / \sigma(r) * \sigma(r_b),"date,close,benchmark_close
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+",
+CN,technical,恒生电子的莫迪利安尼比率，在2020年06月16日-2021年05月31日期间为多少？（默认无风险利率为0；收益率需年化（用复合年化收益率），A股按一年242个交易日）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0063,easy,risk-adjusted return,M^2 = rf + (AnnRet - rf) / \sigma(r) * \sigma(r_b),"date,close,benchmark_close
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+",
+CN,technical,对于2024年08月11日-2025年01月17日的莫迪利安尼比率，广汽集团的值是？（默认无风险利率为0；收益率需年化（用复合年化收益率），A股按一年242个交易日）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.2092,easy,risk-adjusted return,M^2 = rf + (AnnRet - rf) / \sigma(r) * \sigma(r_b),"date,close,benchmark_close
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+",
+CN,technical,计算公牛集团2025年06月23日至2025年09月12日的莫迪利安尼比率。（默认无风险利率为0；收益率需年化（用复合年化收益率），A股按一年242个交易日）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-0.2041,easy,risk-adjusted return,M^2 = rf + (AnnRet - rf) / \sigma(r) * \sigma(r_b),"date,close,benchmark_close
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+",
+CN,technical,思源电气2020年05月26日至2020年06月22日的溃疡指数的值是？使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0229,easy,risk,UI = \sqrt{1 / N * \sum_{t=1}^{N} (1 - P_t / max_{s \le t} P_s)^2},"date,close
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+",
+CN,technical,2021年10月15日到2022年06月23日，鹏鼎控股的溃疡指数是多少？使��不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.2413,easy,risk,UI = \sqrt{1 / N * \sum_{t=1}^{N} (1 - P_t / max_{s \le t} P_s)^2},"date,close
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+",
+CN,technical,南方航空的溃疡指数，在2024年10月28日-2024年12月23日期间为多少？使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0314,easy,risk,UI = \sqrt{1 / N * \sum_{t=1}^{N} (1 - P_t / max_{s \le t} P_s)^2},"date,close
+2024-10-28,6.0
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+",
+CN,technical,对于2021年08月08日-2022年05月03日的溃疡指数，赣锋锂业的值是？使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.3331,easy,risk,UI = \sqrt{1 / N * \sum_{t=1}^{N} (1 - P_t / max_{s \le t} P_s)^2},"date,close
+2021-08-09,181.21
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+",
+CN,technical,计算方正证券2021年06月18日至2021年10月05日的溃疡指数。使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.1179,easy,risk,UI = \sqrt{1 / N * \sum_{t=1}^{N} (1 - P_t / max_{s \le t} P_s)^2},"date,close
+2021-06-18,9.86
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+",
+CN,technical,中国神华2021年08月26日至2022年04月18日的马丁比率的值是？（分子分母都需年化，A股按一年242个交易日）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.8539,easy,risk-adjusted return,Martin = AnnRet / (UI * \sqrt{242}),"date,close
+2021-08-26,18.24
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+",
+CN,technical,2023年12月29日到2024年08月23日，北新建材的马丁比率是多少？（分子分母都需年化，A股按一年242个交易日）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0604,easy,risk-adjusted return,Martin = AnnRet / (UI * \sqrt{242}),"date,close
+2023-12-29,23.36
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+",
+CN,technical,对于2024年08月19日-2025年04月04日的贝塔系数，中国中车的值是？使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.8829,easy,risk,"\beta = cov(r, r_m) / var(r_m)","date,close,market_close
+2024-08-16,7.62,3345.63
+2024-08-19,8.02,3356.97
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+2025-04-03,6.91,3861.5
+",
+CN,technical,计算渝农商行2024年10月19日至2024年12月04日的贝塔系数。使用不复权价格，写出指标公式���搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.3081,easy,risk,"\beta = cov(r, r_m) / var(r_m)","date,close,market_close
+2024-10-18,5.83,3925.23
+2024-10-21,5.86,3935.2
+2024-10-22,6.0,3957.78
+2024-10-23,5.99,3973.21
+2024-10-24,5.96,3928.83
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+2024-10-29,5.8,3924.65
+2024-10-30,5.73,3889.45
+2024-10-31,5.57,3891.04
+2024-11-01,5.73,3890.02
+2024-11-04,5.75,3944.76
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+2024-12-02,5.49,3947.63
+2024-12-03,5.59,3951.89
+2024-12-04,5.7,3930.56
+",
+CN,technical,蓝思科技2024年04月06日至2025年01月16日的詹森阿尔法的值是？（默认无风险利率为0；收益率需年化（用复合年化收益率），A股按一年242个交易日）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.8057,easy,risk-adjusted return,"\alpha = AnnRet - [rf + \beta * (AnnRet_m - rf)]；\beta = cov(r, r_m) / var(r_m)","date,close,market_close
+2024-04-03,13.93,3567.8
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+2024-04-10,13.4,3504.71
+2024-04-11,13.26,3504.24
+2024-04-12,13.48,3475.84
+2024-04-15,13.64,3549.08
+2024-04-16,13.07,3511.11
+2024-04-17,13.63,3565.4
+2024-04-18,13.67,3569.8
+2024-04-19,13.61,3541.66
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+2024-05-17,14.75,3677.97
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+",
+CN,technical,2022年08月01日到2023年01月03日，亿联网络的詹森阿尔法是多少？（默认无风险利率为0；收益率需年化（用复合年化收益率），A股按一年242个交易日）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-0.3778,easy,risk-adjusted return,"\alpha = AnnRet - [rf + \beta * (AnnRet_m - rf)]；\beta = cov(r, r_m) / var(r_m)","date,close,market_close
+2022-07-29,75.91,4170.1
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+CN,technical,中信建投的詹森阿尔法，在2025年08月02日-2025年09月04日期间为多少？（默认无风险利率为0；收益率需年化（用复合年化收益率），A股按一年242个交易日）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-0.686,easy,risk-adjusted return,"\alpha = AnnRet - [rf + \beta * (AnnRet_m - rf)]；\beta = cov(r, r_m) / var(r_m)","date,close,market_close
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+",
+CN,technical,对于2021年09月15日-2021年11月30日的詹森阿尔法，阳光电源的值是？（默认无风险利率为0；收益率需年化（用复合年化收益率），A股按一年242个交易日）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,1.5085,easy,risk-adjusted return,"\alpha = AnnRet - [rf + \beta * (AnnRet_m - rf)]；\beta = cov(r, r_m) / var(r_m)","date,close,market_close
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+",
+CN,technical,计算纳思达2022年10月16日至2023年06月10日的詹森阿尔法。（默认无风险利率为0；收益率需年化（用复合年化收益率），A股按一年242个交易日）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,-0.3613,easy,risk-adjusted return,"\alpha = AnnRet - [rf + \beta * (AnnRet_m - rf)]；\beta = cov(r, r_m) / var(r_m)","date,close,market_close
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+CN,technical,杭州银行2021年02月24日至2021年04月07日的VaR（参数法）的值是？（1日VaR；损失用正数表示；正态假设；默认95%置信度）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0482,easy,risk,VaR_c = \Phi^{-1}(c) * \sigma(r) - \mu(r),"date,close
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+",
+CN,technical,2021年01月06日到2021年03月25日，泰格医药的VaR（参数法）是多少？（1日VaR；损失用正数表示；正态假设；默认95%置信度）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0714,easy,risk,VaR_c = \Phi^{-1}(c) * \sigma(r) - \mu(r),"date,close
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+CN,technical,大秦铁路的VaR（参数法），在2019年12月05日-2020年08月21日期间为多少？（1日VaR；损失用正数表示；正态假设；默认95%置信度）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0213,easy,risk,VaR_c = \Phi^{-1}(c) * \sigma(r) - \mu(r),"date,close
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+CN,technical,对于2020年06月21日-2020年11月21日的VaR（参数法），深南电路的值是？（1日VaR；损失用正数表示；正态假设；默认95%置信度）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0526,easy,risk,VaR_c = \Phi^{-1}(c) * \sigma(r) - \mu(r),"date,close
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+CN,technical,计算浪潮信息2021年12月01日至2022年03月28日的VaR（参数法）。（1日VaR；损失用正数表示；正态假设；默认95%置信���）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0455,easy,risk,VaR_c = \Phi^{-1}(c) * \sigma(r) - \mu(r),"date,close
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+",
+CN,technical,山东黄金2022年10月21日至2023年05月18日的VaR（历史模拟法）的值是？（1日VaR；损失用正数表示；默认95%置信度）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0259,easy,risk,VaR_c = -Q_{1-c}(r)；Q_p 为 p 分位数,"date,close
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+",
+CN,technical,2023年07月22日到2024年03月05日，中芯国际的VaR（历史模拟法）是多少？（1日VaR；损失用正数表示；默认95%置信度）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0346,easy,risk,VaR_c = -Q_{1-c}(r)；Q_p 为 p 分位数,"date,close
+2023-07-21,49.0
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+",
+CN,technical,紫金矿业的VaR（历史模拟法），在2022年08月25日-2022年09月04日期间为多少？（1日VaR；损失用正数表示；默认95%置信度）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0164,easy,risk,VaR_c = -Q_{1-c}(r)；Q_p 为 p 分位数,"date,close
+2022-08-24,8.88
+2022-08-25,9.13
+2022-08-26,9.15
+2022-08-29,9.02
+2022-08-30,8.9
+2022-08-31,8.8
+2022-09-01,8.65
+2022-09-02,8.52
+",
+CN,technical,对于2020年12月21日-2021年09月29日的VaR（历史模拟法），三花智控的值是？（1日VaR；损失用正数表示；默认95%置信度）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0433,easy,risk,VaR_c = -Q_{1-c}(r)；Q_p 为 p 分位数,"date,close
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+",
+CN,technical,计算迈瑞医疗2021年08月27日至2021年09月09日的VaR（历史模拟法）。（1日VaR；损失用正数表示；默认95%置信度）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0341,easy,risk,VaR_c = -Q_{1-c}(r)；Q_p 为 p 分位数,"date,close
+2021-08-26,321.45
+2021-08-27,323.25
+2021-08-30,319.0
+2021-08-31,328.0
+2021-09-01,331.0
+2021-09-02,324.66
+2021-09-03,331.2
+2021-09-06,356.65
+2021-09-07,345.98
+2021-09-08,333.0
+2021-09-09,334.15
+",
+CN,technical,双汇发展2025年01月13日至2025年08月28日的CVaR（参数法）的值是？（1日VaR；正态假设；默认95%置信度）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0228,easy,risk,CVaR_c = \phi(\Phi^{-1}(c)) / (1 - c) * \sigma(r) - \mu(r),"date,close
+2025-01-10,25.3
+2025-01-13,24.9
+2025-01-14,25.11
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+",
+CN,technical,2024年06月22日到2024年07月27日，中国东航的CVaR（参数法）是多少？（1日VaR；正态假设；默认95%置信度）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0347,easy,risk,CVaR_c = \phi(\Phi^{-1}(c)) / (1 - c) * \sigma(r) - \mu(r),"date,close
+2024-06-21,3.94
+2024-06-24,3.94
+2024-06-25,3.9
+2024-06-26,3.97
+2024-06-27,3.98
+2024-06-28,4.01
+2024-07-01,4.04
+2024-07-02,4.01
+2024-07-03,3.99
+2024-07-04,3.84
+2024-07-05,3.82
+2024-07-08,3.84
+2024-07-09,3.84
+2024-07-10,3.73
+2024-07-11,3.93
+2024-07-12,3.9
+2024-07-15,3.89
+2024-07-16,3.95
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+2024-07-19,4.03
+2024-07-22,4.06
+2024-07-23,3.99
+2024-07-24,3.94
+2024-07-25,3.94
+2024-07-26,3.95
+",
+CN,technical,浙能电力的CVaR（参数法），在2024年04月20日-2024年10月22日期间为多少？（1日VaR；正态假设；默认95%置信度）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0444,easy,risk,CVaR_c = \phi(\Phi^{-1}(c)) / (1 - c) * \sigma(r) - \mu(r),"date,close
+2024-04-19,6.47
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+",
+CN,technical,对于2020年07月29日-2021年01月12日的CVaR（参数法），中国卫通的值是？（1日VaR；正态假设；默认95%置信度）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0566,easy,risk,CVaR_c = \phi(\Phi^{-1}(c)) / (1 - c) * \sigma(r) - \mu(r),"date,close
+2020-07-28,22.24
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+",
+CN,technical,计算三一重工2025年04月08日至2025年05月31日的CVaR（参数法）。（1日VaR；正态假设；默认95%置信度）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0296,easy,risk,CVaR_c = \phi(\Phi^{-1}(c)) / (1 - c) * \sigma(r) - \mu(r),"date,close
+2025-04-07,18.0
+2025-04-08,18.55
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+2025-04-10,19.1
+2025-04-11,19.31
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+2025-04-24,19.05
+2025-04-25,19.09
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+2025-04-30,18.89
+2025-05-06,19.68
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+2025-05-28,18.5
+2025-05-29,18.75
+2025-05-30,18.83
+",
+CN,technical,工业富联2023年02月17日至2023年05月08日的CVaR（历史模拟法）的值是？（1日VaR；默认95%置信度）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.089,easy,risk,CVaR_c = -E[r | r \le Q_{1-c}(r)],"date,close
+2023-02-16,9.89
+2023-02-17,9.71
+2023-02-20,9.91
+2023-02-21,9.88
+2023-02-22,9.75
+2023-02-23,9.7
+2023-02-24,9.62
+2023-02-27,9.52
+2023-02-28,9.6
+2023-03-01,9.96
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+2023-03-03,11.37
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+2023-03-07,10.51
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+2023-04-28,16.12
+2023-05-04,15.38
+2023-05-05,14.77
+2023-05-08,14.68
+",
+CN,technical,2025年09月25日到2025年11月03日，春秋航空的CVaR（历史模拟法）是多少？（1日VaR；默认95%置信度）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0188,easy,risk,CVaR_c = -E[r | r \le Q_{1-c}(r)],"date,close
+2025-09-24,52.51
+2025-09-25,52.65
+2025-09-26,53.49
+2025-09-29,53.6
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+2025-10-23,54.18
+2025-10-24,53.11
+2025-10-27,52.73
+2025-10-28,52.81
+2025-10-29,52.89
+2025-10-30,53.35
+2025-10-31,53.58
+2025-11-03,53.38
+",
+CN,technical,德赛西威的CVaR（历史模拟法），在2021年12月20日-2022年07月05日期间为多少？（1日VaR；默认95%置信度）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0744,easy,risk,CVaR_c = -E[r | r \le Q_{1-c}(r)],"date,close
+2021-12-17,137.74
+2021-12-20,138.53
+2021-12-21,152.38
+2021-12-22,157.28
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+",
+CN,technical,对于2021年12月11日-2022年04月02日的CVaR（历史模拟法），长电科技的值是？（1日VaR；默认95%置信度）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0467,easy,risk,CVaR_c = -E[r | r \le Q_{1-c}(r)],"date,close
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+CN,technical,计算包钢股份2020年06月20日至2021年04月18日的CVaR（历史模拟法）。（1日VaR；默认95%置信度）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0483,easy,risk,CVaR_c = -E[r | r \le Q_{1-c}(r)],"date,close
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+",
+CN,technical,"润泽科技2022年02月18日至2022年10月25日, 对于5、20、60日简单移动平均线，空头排列的天数占比？（单位：%）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",24.0964,hard,moving average,SMA_n = 1 / n * \sum_{i=0}^{n-1} P_{t-i},"date,close,low,open
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+CN,technical,在2025年05月26日至2025年08月07日，宝丰能源5、10、20日简单移动平均线空头排列的天数占总天数的百分比？使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,28.3019,hard,moving average,SMA_n = 1 / n * \sum_{i=0}^{n-1} P_{t-i},"date,close,low,open
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+CN,technical,统计招商公路在2021年06月13日到2022年03月19日的5、20、60日简单移动平均线空头排列的天数占比（%）。使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,25.8065,hard,moving average,SMA_n = 1 / n * \sum_{i=0}^{n-1} P_{t-i},"date,close,low,open
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+CN,technical,"紫金矿业2023年06月27日至2024年06月22日, 对于5、10、20日加权移动平均线，多头排列的天数占比？（单位：%）（权重取 1, 2, ..., n）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",44.5833,hard,moving average,WMA_n = \sum_{i=0}^{n-1} (n-i) * P_{t-i} / \sum_{j=1}^{n} j,"date,close,low,high,open
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+CN,technical,"2021年05月06日-2021年06月26日，豪威集团的10、20、30日加权移动平均线处于多头排列的天数占比多少？（单位：%）（权重取 1, 2, ..., n）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",22.2222,hard,moving average,WMA_n = \sum_{i=0}^{n-1} (n-i) * P_{t-i} / \sum_{j=1}^{n} j,"date,close,low,high,open
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+CN,technical,"在2019年09月20日至2020年03月23日，招商轮船5、20、60日加权移动平均线空头排列的天数占总天数的百分比？（权重取 1, 2, ..., n）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",15.8333,hard,moving average,WMA_n = \sum_{i=0}^{n-1} (n-i) * P_{t-i} / \sum_{j=1}^{n} j,"date,close,low,high,open
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+CN,technical,2025年08月29日-2025年10月14日，中泰证券的10、20、30日指数移动平均线处于空头排列的天数占比多少？（单位：%）（平滑系数 alpha 取 2 / (n + 1)；从前 4n 个数据开始计算；初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,23.7288,hard,moving average,EMA_t = \alpha * P_t + (1 - \alpha) * EMA_{t-1}，\alpha = 2 / (n + 1),"date,close,low,high,open
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+CN,technical,上港集团从2023年09月02日到2024年08月08日，5、20、60日三指数移动平均线呈空头排列的天数比例是多少？（单位：%）（平滑系数 alpha 取 2 / (n + 1)；从前 6n 个数据开始计算；初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,21.0784,hard,moving average,TEMA = 3 * EMA1 - 3 * EMA2 + EMA3；EMA1 = EMA_n(P)；EMA2 = EMA_n(EMA1)；EMA3 = EMA_n(EMA2),"date,close,open,low
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+CN,technical,2024年01月29日-2024年04月30日，宁德时代的10、20、30日三指数移动平均线处于多头排列的天数占比多少？（单位：%）（平滑系数 alpha 取 2 / (n + 1)；从前 6n 个数据开始计算；初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,34.8684,hard,moving average,TEMA = 3 * EMA1 - 3 * EMA2 + EMA3；EMA1 = EMA_n(P)；EMA2 = EMA_n(EMA1)；EMA3 = EMA_n(EMA2),"date,close,open,low
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+CN,technical,2024年03月02日-2024年05月04日，山金国际的5、10、20日赫尔移动平均线处于多头排列的天数占比多少？（单位：%）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,27.0833,hard,moving average,HMA = WMA_{\sqrt{n}}(2 * WMA_{n/2}(P) - WMA_n(P)),"date,close,high,open
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+CN,technical,在2024年11月02日至2025年06月30日，上海莱士5、20、60日赫尔移动平均线多头排列的天数占总天数的百分比？使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,24.1379,hard,moving average,HMA = WMA_{\sqrt{n}}(2 * WMA_{n/2}(P) - WMA_n(P)),"date,close,high,open
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+CN,technical,在2024年08月15日至2025年07月22日期间，士兰微开盘价小于布林带上轨的天数占总天数的百分比？（标准版：中轨SMA(20)，乘数2，用总体标准差）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,96.8889,medium,channel,Middle = SMA_n(P)；Upper = Middle + 2 * \sigma_n(P)；Lower = Middle - 2 * \sigma_n(P),"date,close,open
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+CN,technical,2021年07月27日-2021年11月28日，欧派家居的最低价大于布林带下轨的比例（单位：%）？（标准版：中轨SMA(20)，乘数2，用总体标准差）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,85.3659,medium,channel,Middle = SMA_n(P)；Upper = Middle + 2 * \sigma_n(P)；Lower = Middle - 2 * \sigma_n(P),"date,close,open,low
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+CN,technical,"上港集团2021年12月01日-2022年09月15日, 对于肯特纳通道，最高价小于下轨的天数占比？（单位：%）（标准版：中轨EMA(20)，ATR(10)，乘数2；EMA从前4n个数据开始计算，初始值用首个数据点；ATR计算用SMA）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",6.2745,medium,channel,Middle = EMA_{n_{ema}}(C)；Upper = Middle + 2 * ATR_{n_{atr}}；Lower = Middle - 2 * ATR_{n_{atr}},"date,close,high,low
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+CN,technical,时代电气从2023年09月23日到2024年05月24日，最高价大于肯特纳通道下轨的天数比例是多少？（单位：%）（标准版：中轨EMA(20)，ATR(10)，乘数2；EMA从前4n个数据开始计算，初始值用首个数据点；ATR计算用SMA）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,97.7064,medium,channel,Middle = EMA_{n_{ema}}(C)；Upper = Middle + 2 * ATR_{n_{atr}}；Lower = Middle - 2 * ATR_{n_{atr}},"date,close,high,low
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+CN,technical,2025年02月06日-2025年05月02日，中信建投的开盘价小于肯特纳通道中轨的比例（单位：%）？（标准版：中轨EMA(20)，ATR(10)，乘数2；EMA从前4n个数据开始计算，初始值用首个数据点；ATR计算用SMA）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,74.1667,medium,channel,Middle = EMA_{n_{ema}}(C)；Upper = Middle + 2 * ATR_{n_{atr}}；Lower = Middle - 2 * ATR_{n_{atr}},"date,close,high,low,open
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+CN,technical,纳思达从2023年03月23日到2024年01月07日，最低价大于包络线下轨的天数比例是多少？（单位：%）（标准版：中轨SMA(20)，上下轨±10%）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,84.0206,medium,channel,Middle = SMA_n(P)；Upper = Middle * 1.1；Lower = Middle * 0.9,"date,close,high,low
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+2023-10-27,17.576900000000002,15.979,14.3811,15.58
+"
+CN,technical,2024年06月10日-2024年12月25日，广汽集团的收盘价大于包络线下轨的比例（单位：%）？（标准版：中轨SMA(20)，上下轨±10%）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,100.0,medium,channel,Middle = SMA_n(P)；Upper = Middle * 1.1；Lower = Middle * 0.9,"date,close,high,low,open
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+2024-09-03,7.4,7.42,7.22,7.23
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+","date,Upper,Middle,Lower,close
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+CN,technical,"洛阳钼业2020年04月06日-2020年09月13日, 对于唐安奇通道，最高价大于下轨的天数占比？（单位：%）（标准版：20日内最高价和最低价，中轨用两者均值）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",100.0,medium,channel,Upper = max_{i=0}^{n-1} H_{t-i}；Lower = min_{i=0}^{n-1} L_{t-i}；Middle = (Upper + Lower) / 2,"date,high,low
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+CN,technical,澜起科技从2023年02月20日到2023年09月11日，收盘价大于唐安奇通道下轨的天数比例是多少？（单位：%）（标准版：20日内最高价和最低价，中轨用两者均值）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,99.2857,medium,channel,Upper = max_{i=0}^{n-1} H_{t-i}；Lower = min_{i=0}^{n-1} L_{t-i}；Middle = (Upper + Lower) / 2,"date,high,low,close
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+"
+CN,technical,2024年04月02日-2024年07月24日，长春高新的开盘价大于唐安奇通道上轨的比例（单位：%）？（标准版：20日内最高价和最低价，中轨用两者均值）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0,medium,channel,Upper = max_{i=0}^{n-1} H_{t-i}；Lower = min_{i=0}^{n-1} L_{t-i}；Middle = (Upper + Lower) / 2,"date,high,low,close,open
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+CN,technical,"青岛啤酒2020年04月25日-2020年08月02日, 对于超级趋势，最高价大于下轨的天数占比？（单位：%）（标准版：周期10，乘数3；回看前5n个数据）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",95.2381,medium,channel,"Mid_t = (H_t + L_t) / 2；BasicUpper_t = Mid_t + m * ATR_n^{Wilder}；BasicLower_t = Mid_t - m * ATR_n^{Wilder}；多头时 Lower_t = max(BasicLower_t, Lower_{t-1})，若 C_t < Lower_t 则翻空；空头时 Upper_t = min(BasicUpper_t, Upper_{t-1})，若 C_t > Upper_t 则翻多","date,high,low,close
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+CN,technical,芒果超媒从2022年11月30日到2023年06月08日，最低价大于超级趋势中轨的天数比例是多少？（单位：%）（标准版：周期10，乘数3；回看前5n个数据）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,0.0,medium,channel,"Mid_t = (H_t + L_t) / 2；BasicUpper_t = Mid_t + m * ATR_n^{Wilder}；BasicLower_t = Mid_t - m * ATR_n^{Wilder}；多头时 Lower_t = max(BasicLower_t, Lower_{t-1})，若 C_t < Lower_t 则翻空；空头时 Upper_t = min(BasicUpper_t, Upper_{t-1})，若 C_t > Upper_t 则翻多","date,high,low,close
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+CN,technical,2021年06月16日-2021年11月24日，爱尔眼科的最低价小于超级趋势上轨的比例（单位：%）？（标准版：周期10，乘数3；回看前5n个数据）使用不复权价格，写出指标公式，搜集原始���据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,67.7852,medium,channel,"Mid_t = (H_t + L_t) / 2；BasicUpper_t = Mid_t + m * ATR_n^{Wilder}；BasicLower_t = Mid_t - m * ATR_n^{Wilder}；多头时 Lower_t = max(BasicLower_t, Lower_{t-1})，若 C_t < Lower_t 则翻空；空头时 Upper_t = min(BasicUpper_t, Upper_{t-1})，若 C_t > Upper_t 则翻多","date,high,low,close
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+CN,technical,统计中金黄金在2023年06月12日到2024年01月28日间，最高价大于超级趋势中轨的天数占比（%）。（标准版：周期10，乘数3；回看前5n个数据）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,100.0,medium,channel,"Mid_t = (H_t + L_t) / 2；BasicUpper_t = Mid_t + m * ATR_n^{Wilder}；BasicLower_t = Mid_t - m * ATR_n^{Wilder}；多头时 Lower_t = max(BasicLower_t, Lower_{t-1})，若 C_t < Lower_t 则翻空；空头时 Upper_t = min(BasicUpper_t, Upper_{t-1})，若 C_t > Upper_t 则翻多","date,high,low,close
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+2023-04-03,10.43,10.16,10.21
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+2023-04-11,12.05,11.2,12.0
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+2023-04-20,11.86,11.4,11.67
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+","date,Middle,Upper,Lower,high
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+CN,technical,"中国联通2025年02月14日至2025年09月27日, 对于简单移动平均的20日线和10日线，有多少次死叉？使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",4.0,medium,moving average,SMA_n = 1 / n * \sum_{i=0}^{n-1} P_{t-i},"date,close
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+CN,technical,国投资本从2025年05月03日到2025年11月18日，简单移动平均的20日线与10日线发生金叉多少次？使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,4.0,medium,moving average,SMA_n = 1 / n * \sum_{i=0}^{n-1} P_{t-i},"date,close
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+CN,technical,在2021年08月01日至2022年03月28日期间，中信证券的简单移动平均20日线和30日线共出现几次死叉？使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.0,medium,moving average,SMA_n = 1 / n * \sum_{i=0}^{n-1} P_{t-i},"date,close
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+CN,technical,对于中国中冶在2024年09月10日到2025年06月10日间简单移动平均线，统计5日线与10日线的死叉次数。使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,13.0,medium,moving average,SMA_n = 1 / n * \sum_{i=0}^{n-1} P_{t-i},"date,close
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+CN,technical,"洋河股份2021年12月17日至2022年01月16日, 对于加权移动平均的30日线和60日线，有多少次金叉？（权重取 1, 2, ..., n）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",0.0,medium,moving average,WMA_n = \sum_{i=0}^{n-1} (n-i) * P_{t-i} / \sum_{j=1}^{n} j,"date,close
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+CN,technical,"山西汾酒从2021年05月02日到2021年06月06日，加权移动平均的60日线与30日线发生金叉多少次？（权重取 1, 2, ..., n）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",0.0,medium,moving average,WMA_n = \sum_{i=0}^{n-1} (n-i) * P_{t-i} / \sum_{j=1}^{n} j,"date,close
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+CN,technical,"在2025年07月02日至2025年08月19日期间，南方航空的加权移动平均10日线和20日线共出现几次金叉？（权重取 1, 2, ..., n）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",2.0,medium,moving average,WMA_n = \sum_{i=0}^{n-1} (n-i) * P_{t-i} / \sum_{j=1}^{n} j,"date,close
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+CN,technical,"2021年12月02日-2022年04月18日，华润微加权移动平均线中20日均线和30日均线金叉的次数是多少？（权重取 1, 2, ..., n）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",3.0,medium,moving average,WMA_n = \sum_{i=0}^{n-1} (n-i) * P_{t-i} / \sum_{j=1}^{n} j,"date,close
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+CN,technical,"对于华利集团在2023年09月29日到2023年12月28日间加权移动平均线，统计60日线与10日线的死叉次数。（权重取 1, 2, ..., n）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",0.0,medium,moving average,WMA_n = \sum_{i=0}^{n-1} (n-i) * P_{t-i} / \sum_{j=1}^{n} j,"date,close
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+CN,technical,"恒瑞医药2019年12月27日至2020年12月18日, 对于指数移动平均的60日线和20日线，有多少次死叉？（平滑系数 alpha 取 2 / (n + 1)；从前 4n 个数据开始计算；初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",6.0,medium,moving average,EMA_t = \alpha * P_t + (1 - \alpha) * EMA_{t-1}，\alpha = 2 / (n + 1),"date,close
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+CN,technical,"南方航空2023年08月21日至2023年09月10日, 对于双指数移动平均的60日线和10日线，有多少次死叉？（平滑系数 alpha 取 2 / (n + 1)；从前 5n 个数据开始计算；初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",6.0,medium,moving average,DEMA = 2 * EMA1 - EMA2；EMA1 = EMA_n(P)；EMA2 = EMA_n(EMA1),"date,close
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+CN,technical,在2023年02月10日至2024年01月26日期间，天赐材料的双指数移动平均20日线和60日线共出现几次金叉？（平滑系数 alpha 取 2 / (n + 1)；从前 5n 个数据���始计算；初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,6.0,medium,moving average,DEMA = 2 * EMA1 - EMA2；EMA1 = EMA_n(P)；EMA2 = EMA_n(EMA1),"date,close
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+CN,technical,"中国船舶2020年09月12日至2020年11月16日, 对于三指数移动平均的30日线和10日线，有多少次金叉？（平滑系数 alpha 取 2 / (n + 1)；从前 6n 个数据开始计算；初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",9.0,medium,moving average,TEMA = 3 * EMA1 - 3 * EMA2 + EMA3；EMA1 = EMA_n(P)；EMA2 = EMA_n(EMA1)；EMA3 = EMA_n(EMA2),"date,close
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+CN,technical,南山铝业从2024年01月05日到2024年03月12日，赫尔移动平均的60日线与5日线发生金叉多少次？使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,3.0,medium,moving average,HMA = WMA_{\sqrt{n}}(2 * WMA_{n/2}(P) - WMA_n(P)),"date,close
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+CN,technical,在2021年09月20日至2021年10月18日期间，京东方A的赫尔移动平均5日线和20日线共出现几次死叉？使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.0,medium,moving average,HMA = WMA_{\sqrt{n}}(2 * WMA_{n/2}(P) - WMA_n(P)),"date,close
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+CN,technical,2025年02月19日-2025年04月07日，长安汽车赫尔移动平均线中5日均线和30日均线金叉的次数是多少？使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,2.0,medium,moving average,HMA = WMA_{\sqrt{n}}(2 * WMA_{n/2}(P) - WMA_n(P)),"date,close
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+CN,technical,"工业富联从2024年04月13日到2025年04月09日，收盘价大于60日加权移动平均线的天数比例是多少？（单位：%）（权重取 1, 2, ..., n）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",53.9749,medium,moving average,WMA_n = \sum_{i=0}^{n-1} (n-i) * P_{t-i} / \sum_{j=1}^{n} j,"date,close,low
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+CN,technical,"在2024年06月25日至2025年02月27日期间，对于川投能源的加权移动平均线，最高价大于60日线的天数占总天数的百分比？（权重取 1, 2, ..., n）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",61.5854,medium,moving average,WMA_n = \sum_{i=0}^{n-1} (n-i) * P_{t-i} / \sum_{j=1}^{n} j,"date,close,low,high
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+CN,technical,"2024年08月22日-2024年10月17日，华鲁恒升的开盘价大于60日加权移��平均线的天数占比多少？（%）（权重取 1, 2, ..., n）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",70.5882,medium,moving average,WMA_n = \sum_{i=0}^{n-1} (n-i) * P_{t-i} / \sum_{j=1}^{n} j,"date,close,low,high,open
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+CN,technical,"统计德赛西威在2019年12月04日到2020年04月25日间，最高价大于20日加权移动平均线的天数占比（%）。（权重取 1, 2, ..., n）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",24.2105,medium,moving average,WMA_n = \sum_{i=0}^{n-1} (n-i) * P_{t-i} / \sum_{j=1}^{n} j,"date,close,low,high,open
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+CN,technical,在2025年09月30日至2025年11月13日期间，对于长城汽车的双指数移动平均线，收盘价大于5日线的天数占总天数的百分比？（平滑系数 alpha 取 2 / (n + 1)；从前 5n 个数据开始计算；初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,50.0,medium,moving average,DEMA = 2 * EMA1 - EMA2；EMA1 = EMA_n(P)；EMA2 = EMA_n(EMA1),"date,close,high
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+CN,technical,2024年08月29日-2025年04月23日，大华股份的收盘价大于5日双指数移动平均线的天数占比多少？（%）（平滑系数 alpha 取 2 / (n + 1)；从前 5n 个数据开始计算；初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,46.5116,medium,moving average,DEMA = 2 * EMA1 - EMA2；EMA1 = EMA_n(P)；EMA2 = EMA_n(EMA1),"date,close,high
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+CN,technical,统计北新建材在2023年08月15日到2023年11月22日间，最低价大于10日双指数移动平均线的天数占比（%）。（平滑系数 alpha 取 2 / (n + 1)；从前 5n 个数据开始计算；初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,82.6531,medium,moving average,DEMA = 2 * EMA1 - EMA2；EMA1 = EMA_n(P)；EMA2 = EMA_n(EMA1),"date,close,high,low
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+CN,technical,"北方稀土2024年01月31日至2024年10月15日, 开盘价大于5日三指数移动平均线的天数占比？（单位：%）（平滑系数 alpha 取 2 / (n + 1)；从前 6n 个数据开始计算；初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",48.913,medium,moving average,TEMA = 3 * EMA1 - 3 * EMA2 + EMA3；EMA1 = EMA_n(P)；EMA2 = EMA_n(EMA1)；EMA3 = EMA_n(EMA2),"date,close,open
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+CN,technical,2025年06月11日-2025年11月08日，东方电气的最低价大于60日三指数移动平均线的天数占比多少？（%）（平滑系数 alpha 取 2 / (n + 1)；从前 6n 个数据开始计算；初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,63.8596,medium,moving average,TEMA = 3 * EMA1 - 3 * EMA2 + EMA3；EMA1 = EMA_n(P)；EMA2 = EMA_n(EMA1)；EMA3 = EMA_n(EMA2),"date,close,open,low
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+CN,technical,统计复星医药在2024年09月30日到2024年12月15日间，最低价小于5日三指数移动平均线的天数占比（%）。（平滑系数 alpha 取 2 / (n + 1)；从前 6n 个数据开始计算；初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,4.4118,medium,moving average,TEMA = 3 * EMA1 - 3 * EMA2 + EMA3；EMA1 = EMA_n(P)；EMA2 = EMA_n(EMA1)；EMA3 = EMA_n(EMA2),"date,close,open,low
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+CN,technical,"小商品城2020年12月25日至2021年11月24日, 最高价小于10日赫尔移动平均线的天数占比？（单位：%）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",87.5556,medium,moving average,HMA = WMA_{\sqrt{n}}(2 * WMA_{n/2}(P) - WMA_n(P)),"date,close,high
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+CN,technical,统计科伦药业从2022年02月10日到2022年08月08日，股价突破10日简单移动平均线的总次数。使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,13.0,medium,moving average,SMA_n = 1 / n * \sum_{i=0}^{n-1} P_{t-i},"date,close,low,open
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+CN,technical,"民生银行2022年07月24日至2023年02月14日, 价格突破30日加权移动平均线有多少次？（权重取 1, 2, ..., n）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",10.0,medium,moving average,WMA_n = \sum_{i=0}^{n-1} (n-i) * P_{t-i} / \sum_{j=1}^{n} j,"date,close,low,high,open
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+CN,technical,"2023年05月11日至2024年03月15日，国泰海通股价突破10日加权移动平均线的次数是多少？（权重取 1, 2, ..., n）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注���列出原始数据和关键计算过程。",23.0,medium,moving average,WMA_n = \sum_{i=0}^{n-1} (n-i) * P_{t-i} / \sum_{j=1}^{n} j,"date,close,low,high,open
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+CN,technical,"在2023年05月18日-2024年02月24日，晶科能源的价格有多少次突破20日加权移动平均线？（权重取 1, 2, ..., n）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",19.0,medium,moving average,WMA_n = \sum_{i=0}^{n-1} (n-i) * P_{t-i} / \sum_{j=1}^{n} j,"date,close,low,high,open
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+CN,technical,"宝钢股份2021年07月20日至2022年04月01日, 价格突破10日指数移动平均线有多少次？（平滑系数 alpha 取 2 / (n + 1)；从前 4n 个数据开始计算；初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",20.0,medium,moving average,EMA_t = \alpha * P_t + (1 - \alpha) * EMA_{t-1}，\alpha = 2 / (n + 1),"date,close,low,high,open
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+CN,technical,春秋航空在2023年03月21日到2023年08月17日期间，收盘价跌破60日指数移动平均线共几次？（平滑系数 alpha 取 2 / (n + 1)；从前 4n 个数据开始计算；初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,15.0,medium,moving average,EMA_t = \alpha * P_t + (1 - \alpha) * EMA_{t-1}，\alpha = 2 / (n + 1),"date,close,low,high,open
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+"
+CN,technical,2024年08月05日至2025年02月25日，中国卫通股价突破60日指数移动平均线的次数是多少？（平滑系数 alpha 取 2 / (n + 1)；从前 4n 个数据开始计算；初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,9.0,medium,moving average,EMA_t = \alpha * P_t + (1 - \alpha) * EMA_{t-1}，\alpha = 2 / (n + 1),"date,close,low,high,open
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+CN,technical,在2025年07月17日-2025年09月20日，海尔智家的价格有多少次跌破20日指数移动平均线？（平滑系数 alpha 取 2 / (n + 1)；从前 4n 个数据开始计算；初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,7.0,medium,moving average,EMA_t = \alpha * P_t + (1 - \alpha) * EMA_{t-1}，\alpha = 2 / (n + 1),"date,close,low,high,open
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+CN,technical,"中信证券2024年02月09日至2024年08月24日, 价格跌破20日三指数移动平均线有多少次？（平滑系数 alpha 取 2 / (n + 1)；从前 6n 个数据开始计算；初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",23.0,medium,moving average,TEMA = 3 * EMA1 - 3 * EMA2 + EMA3；EMA1 = EMA_n(P)；EMA2 = EMA_n(EMA1)；EMA3 = EMA_n(EMA2),"date,close,open,low
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+"
+CN,technical,在2023年07月21日-2023年11月29日，红塔证券的价格有多少次突破5日三指数移动平均线？（平滑系数 alpha 取 2 / (n + 1)；从前 6n 个数据开始计算；初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,23.0,medium,moving average,TEMA = 3 * EMA1 - 3 * EMA2 + EMA3；EMA1 = EMA_n(P)；EMA2 = EMA_n(EMA1)；EMA3 = EMA_n(EMA2),"date,close,open,low
+2023-06-07,7.81,7.85,7.77
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+CN,technical,统计中国联通从2021年12月23日到2022年11月13日，股价跌破10日三指数移动平均线的总次数。（平滑系数 alpha 取 2 / (n + 1)；从前 6n 个数据开始计算；初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,41.0,medium,moving average,TEMA = 3 * EMA1 - 3 * EMA2 + EMA3；EMA1 = EMA_n(P)；EMA2 = EMA_n(EMA1)；EMA3 = EMA_n(EMA2),"date,close,open,low
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+CN,technical,"东方盛虹2022年07月22日至2023年01月27日, 价格跌破5日赫尔移动平均线有多少次？使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。",30.0,medium,moving average,HMA = WMA_{\sqrt{n}}(2 * WMA_{n/2}(P) - WMA_n(P)),"date,close,high,open
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+CN,technical,包钢股份在2024年07月26日到2025年02月04日期间，收盘价跌破5日赫尔移动平均线共几次？使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,32.0,medium,moving average,HMA = WMA_{\sqrt{n}}(2 * WMA_{n/2}(P) - WMA_n(P)),"date,close,high,open
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+CN,technical,2021年04月01日至2021年06月30日，北新建材股价突破20日赫尔移动平均线的次数是多少？使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,5.0,medium,moving average,HMA = WMA_{\sqrt{n}}(2 * WMA_{n/2}(P) - WMA_n(P)),"date,close,high,open
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+"
+CN,technical,在2023年02月13日-2023年12月14日，三一重工的价格有多少次突破5日赫尔移动平均线？使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,51.0,medium,moving average,HMA = WMA_{\sqrt{n}}(2 * WMA_{n/2}(P) - WMA_n(P)),"date,close,high,open
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+CN,technical,统计国电南瑞从2023年07月10日到2023年11月30日，股价突破5日赫尔移动平均线的总次数。使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。,26.0,medium,moving average,HMA = WMA_{\sqrt{n}}(2 * WMA_{n/2}(P) - WMA_n(P)),"date,close,high,open
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+"
+US,fundamental,"What is the Gross Margin of Roper Technologies in 2016? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",61.5424,easy,profitability,(Revenue - COGS) / Revenue * 100%,"year,Revenue,CostOfGoodsAndServicesSold
+2016,3789925000.0,1457515000.0
+",
+US,fundamental,"What was Schlumberger's Gross Margin in 2016? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",35.721,easy,profitability,(Revenue - COGS) / Revenue * 100%,"year,Revenue,CostOfGoodsAndServicesSold
+2016,27810000000.0,17876000000.0
+",
+US,fundamental,"In 2020, what was the Gross Margin reported by Cencora? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.7341,easy,profitability,(Revenue - COGS) / Revenue * 100%,"year,Revenue,CostOfGoodsAndServicesSold
+2020,189893926000.0,184702042000.0
+",
+US,fundamental,"For Phillips 66, what is the value of Gross Margin in 2023? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",13.1025,easy,profitability,(Revenue - COGS) / Revenue * 100%,"year,Revenue,CostOfGoodsAndServicesSold
+2023,147399000000.0,128086000000.0
+",
+US,fundamental,"Calculate the Gross Margin for Altria in 2020. (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",70.1067,easy,profitability,(Revenue - COGS) / Revenue * 100%,"year,Revenue,CostOfGoodsAndServicesSold
+2020,26153000000.0,7818000000.0
+",
+US,fundamental,"What is the EBIT Margin of Marsh McLennan in 2016? (Unit: %; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",20.2029,easy,profitability,EBIT / Revenue * 100% = (Pretax Income + Interest Expense) / Revenue * 100%,"year,Revenue,PretaxIncomeLoss,InterestExpense
+2016,13211000000.0,2480000000.0,189000000.0
+",
+US,fundamental,"What was Hershey Company (The)'s EBIT Margin in 2020? (Unit: %; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",20.1961,easy,profitability,EBIT / Revenue * 100% = (Pretax Income + Interest Expense) / Revenue * 100%,"year,Revenue,PretaxIncomeLoss,InterestExpense
+2020,8149719000.0,1494997000.0,150930000.0
+",
+US,fundamental,"In 2016, what was the EBIT Margin reported by Monster Beverage? (Unit: %; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",35.4088,easy,profitability,EBIT / Revenue * 100% = (Pretax Income + Interest Expense) / Revenue * 100%,"year,Revenue,PretaxIncomeLoss,InterestExpense
+2016,3049393000.0,1079685000.0,68000.0
+",
+US,fundamental,"For Arthur J. Gallagher & Co., what is the value of EBIT Margin in 2022? (Unit: %; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",18.5238,easy,profitability,EBIT / Revenue * 100% = (Pretax Income + Interest Expense) / Revenue * 100%,"year,Revenue,PretaxIncomeLoss,InterestExpense
+2022,8550600000.0,1327000000.0,256900000.0
+",
+US,fundamental,"Calculate the EBIT Margin for NXP Semiconductors in 2020. (Unit: %; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.9131,easy,profitability,EBIT / Revenue * 100% = (Pretax Income + Interest Expense) / Revenue * 100%,"year,Revenue,PretaxIncomeLoss,InterestExpense
+2020,8612000000.0,1000000.0,336000000.0
+",
+US,fundamental,"What is the EBITDA Margin of Public Service Enterprise Group in 2024? (Unit: %;  Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",37.794,easy,profitability,(Pretax Income + Interest Expense + D&A) / Revenue * 100%,"year,Revenue,PretaxIncomeLoss,InterestExpense,Depreciation & Amortization
+2024,10290000000.0,1825000000.0,882000000.0,1182000000.0
+",
+US,fundamental,"What was Invesco's EBITDA Margin in 2018? (Unit: %;  Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",26.1888,easy,profitability,(Pretax Income + Interest Expense + D&A) / Revenue * 100%,"year,Revenue,PretaxIncomeLoss,InterestExpense,Depreciation & Amortization
+2018,5314100000.0,1138100000.0,111500000.0,142100000.0
+",
+US,fundamental,"In 2022, what was the EBITDA Margin reported by ResMed? (Unit: %;  Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",33.0356,easy,profitability,(Pretax Income + Interest Expense + D&A) / Revenue * 100%,"year,Revenue,PretaxIncomeLoss,InterestExpense,DepreciationExpense,AmortizationOfIntangibles
+2022,3578127000.0,960483000.0,22312000.0,159609000.0,39650000.0
+",
+US,fundamental,"For Snap-on, what is the value of EBITDA Margin in 2024? (Unit: %;  Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",29.7686,easy,profitability,(Pretax Income + Interest Expense + D&A) / Revenue * 100%,"year,Revenue,PretaxIncomeLoss,InterestExpense,DepreciationExpense,AmortizationOfIntangibles
+2024,5108400000.0,1373100000.0,49600000.0,72700000.0,25300000.0
+",
+US,fundamental,"Calculate the EBITDA Margin for TE Connectivity in 2021. (Unit: %;  Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",21.4769,easy,profitability,(Pretax Income + Interest Expense + D&A) / Revenue * 100%,"year,Revenue,PretaxIncomeLoss,InterestExpense,Depreciation & Amortization
+2021,14923000000.0,2378000000.0,58000000.0,769000000.0
+",
+US,fundamental,"What is the Net Profit Margin of Extra Space Storage in 2020? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",35.5239,easy,profitability,Net Income / Revenue * 100%,"year,Revenue,NetIncome
+2020,1356212000.0,481779000.0
+",
+US,fundamental,"What was Prologis's Net Profit Margin in 2025? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",37.8633,easy,profitability,Net Income / Revenue * 100%,"year,Revenue,NetIncome
+2025,8790127000.0,3328231000.0
+",
+US,fundamental,"In 2019, what was the Net Profit Margin reported by Archer Daniels Midland? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.1328,easy,profitability,Net Income / Revenue * 100%,"year,Revenue,NetIncome
+2019,64656000000.0,1379000000.0
+",
+US,fundamental,"For Nike, what is the value of Net Profit Margin in 2021? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",12.8587,easy,profitability,Net Income / Revenue * 100%,"year,Revenue,NetIncome
+2021,44538000000.0,5727000000.0
+",
+US,fundamental,"Calculate the Net Profit Margin for Marriott International in 2025. (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",9.9328,easy,profitability,Net Income / Revenue * 100%,"year,Revenue,NetIncome
+2025,26186000000.0,2601000000.0
+",
+US,fundamental,"What is the Return on Equity of IQVIA in 2019? (Unit: %; Use the average of beginning and ending stockholders’ equity) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.0039,easy,profitability,Net Income / Average Stockholders Equity * 100%,"year,NetIncome,AllEquityBalance
+2018,259000000.0,6714000000.0
+2019,191000000.0,6003000000.0
+",
+US,fundamental,"What was Parker Hannifin's Return on Equity in 2019? (Unit: %; Use the average of beginning and ending stockholders’ equity) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",25.5859,easy,profitability,Net Income / Average Stockholders Equity * 100%,"year,NetIncome,AllEquityBalance
+2018,1060801000.0,5859866000.0
+2019,1512364000.0,5961969000.0
+",
+US,fundamental,"In 2023, what was the Return on Equity reported by CME Group? (Unit: %; Use the average of beginning and ending stockholders’ equity) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",12.0343,easy,profitability,Net Income / Average Stockholders Equity * 100%,"year,NetIncome,AllEquityBalance
+2022,2691000000.0,26878700000.0
+2023,3226200000.0,26737900000.0
+",
+US,fundamental,"For NiSource, what is the value of Return on Equity in 2025? (Unit: %; Use the average of beginning and ending stockholders’ equity) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",10.2513,easy,profitability,Net Income / Average Stockholders Equity * 100%,"year,NetIncome,AllEquityBalance
+2024,760400000.0,8684200000.0
+2025,929500000.0,9450100000.0
+",
+US,fundamental,"Calculate the Return on Equity for Analog Devices in 2024. (Unit: %; Use the average of beginning and ending stockholders’ equity) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",4.6232,easy,profitability,Net Income / Average Stockholders Equity * 100%,"year,NetIncome,AllEquityBalance
+2023,3314579000.0,35565122000.0
+2024,1635273000.0,35176317000.0
+",
+US,fundamental,"What is the Return on Assets of Lockheed Martin in 2023? (Unit: %; Use the average of beginning and ending total assets) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",13.1389,easy,profitability,Net Income / Average Total Assets * 100%,"year,NetIncome,Assets
+2022,5732000000.0,52880000000.0
+2023,6920000000.0,52456000000.0
+",
+US,fundamental,"What was CME Group's Return on Assets in 2021? (Unit: %; Use the average of beginning and ending total assets) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.6404,easy,profitability,Net Income / Average Total Assets * 100%,"year,NetIncome,Assets
+2020,2105200000.0,124659600000.0
+2021,2636400000.0,196780300000.0
+",
+US,fundamental,"In 2024, what was the Return on Assets reported by Cintas? (Unit: %; Use the average of beginning and ending total assets) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",17.7429,easy,profitability,Net Income / Average Total Assets * 100%,"year,NetIncome,Assets
+2023,1348010000.0,8546356000.0
+2024,1571592000.0,9168817000.0
+",
+US,fundamental,"For Builders FirstSource, what is the value of Return on Assets in 2023? (Unit: %; Use the average of beginning and ending total assets) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",14.6061,easy,profitability,Net Income / Average Total Assets * 100%,"year,NetIncome,Assets
+2022,2749369000.0,10595160000.0
+2023,1540555000.0,10499452000.0
+",
+US,fundamental,"Calculate the Return on Assets for JPMorgan Chase in 2017. (Unit: %; Use the average of beginning and ending total assets) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.9729,easy,profitability,Net Income / Average Total Assets * 100%,"year,NetIncome,Assets
+2016,24733000000.0,2490972000000.0
+2017,24441000000.0,2533600000000.0
+",
+US,fundamental,"What is the Return on Invested Capital of United Parcel Service in 2024? (Unit: %;  Use the sum of Pretax Income and Interest Expense as EBIT; Use the average of beginning and ending invested capital. Total cash is deducted rather than excess cash. Operating lease liabilities are capitalized and included in debt per ASC 842.) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",17.4342,easy,profitability,ROIC = NOPAT / Average Invested Capital * 100%; NOPAT = EBIT x (1 - effective tax rate); EBIT = Pretax Income + Interest Expense; effective tax rate = Income Taxes / Pretax Income; Invested Capital = Equity (incl. minority) + Total Debt (short + long-term debt + operating lease liabilities) - Cash and Short-Term Investments,"year,PretaxIncomeLoss,InterestExpense,IncomeTaxes,AllEquityBalanceIncludingMinorityInterest,ShortTermDebt,LongTermDebt,OperatingLeaseCurrentDebtEquivalent,OperatingLeaseNonCurrentDebtEquivalent,CashAndMarketableSecurities,ShortTermInvestments
+2023,8573000000.0,785000000.0,1865000000.0,17314000000.0,3348000000.0,18916000000.0,709000000.0,3756000000.0,3206000000.0,2866000000.0
+2024,7442000000.0,866000000.0,1660000000.0,16743000000.0,1838000000.0,19446000000.0,733000000.0,3635000000.0,6112000000.0,206000000.0
+",
+US,fundamental,"What was Synopsys's Return on Invested Capital in 2022? (Unit: %;  Use the sum of Pretax Income and Interest Expense as EBIT; Use the average of beginning and ending invested capital. Total cash is deducted rather than excess cash. Operating lease liabilities are capitalized and included in debt per ASC 842.) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",22.517,easy,profitability,ROIC = NOPAT / Average Invested Capital * 100%; NOPAT = EBIT x (1 - effective tax rate); EBIT = Pretax Income + Interest Expense; effective tax rate = Income Taxes / Pretax Income; Invested Capital = Equity (incl. minority) + Total Debt (short + long-term debt + operating lease liabilities) - Cash and Short-Term Investments,"year,PretaxIncomeLoss,InterestExpense,IncomeTaxes,AllEquityBalanceIncludingMinorityInterest,ShortTermDebt,LongTermDebt,OperatingLeaseCurrentDebtEquivalent,OperatingLeaseNonCurrentDebtEquivalent,CashAndMarketableSecurities,ShortTermInvestments
+2021,805514000.0,3365000.0,49155000.0,5298943000.0,74992000.0,25094000.0,79678000.0,487003000.0,1580789000.0,147949000.0
+2022,1115514000.0,1258000.0,137078000.0,5520526000.0,0.0,20824000.0,54274000.0,581273000.0,1565521000.0,147913000.0
+",
+US,fundamental,"In 2024, what was the Return on Invested Capital reported by American Electric Power? (Unit: %;  Use the sum of Pretax Income and Interest Expense as EBIT; Use the average of beginning and ending invested capital. Total cash is deducted rather than excess cash. Operating lease liabilities are capitalized and included in debt per ASC 842.) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",6.8358,easy,profitability,ROIC = NOPAT / Average Invested Capital * 100%; NOPAT = EBIT x (1 - effective tax rate); EBIT = Pretax Income + Interest Expense; effective tax rate = Income Taxes / Pretax Income; Invested Capital = Equity (incl. minority) + Total Debt (short + long-term debt + operating lease liabilities) - Cash and Short-Term Investments,"year,PretaxIncomeLoss,InterestExpense,IncomeTaxes,AllEquityBalanceIncludingMinorityInterest,ShortTermDebt,LongTermDebt,OperatingLeaseCurrentDebtEquivalent,OperatingLeaseNonCurrentDebtEquivalent,CashAndMarketableSecurities,ShortTermInvestments
+2023,2208700000.0,1806900000.0,185100000.0,25285900000.0,2830200000.0,37652700000.0,115700000.0,519400000.0,330100000.0,214300000.0
+2024,2842900000.0,1862800000.0,58300000.0,26986100000.0,2523800000.0,39307800000.0,91900000.0,504300000.0,202900000.0,215400000.0
+",
+US,fundamental,"For PPG Industries, what is the value of Return on Invested Capital in 2018? (Unit: %;  Use the sum of Pretax Income and Interest Expense as EBIT; Use the average of beginning and ending invested capital. Total cash is deducted rather than excess cash. Operating lease liabilities are capitalized and included in debt per ASC 842.) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",16.7521,easy,profitability,ROIC = NOPAT / Average Invested Capital * 100%; NOPAT = EBIT x (1 - effective tax rate); EBIT = Pretax Income + Interest Expense; effective tax rate = Income Taxes / Pretax Income; Invested Capital = Equity (incl. minority) + Total Debt (short + long-term debt + operating lease liabilities) - Cash and Short-Term Investments,"year,PretaxIncomeLoss,InterestExpense,IncomeTaxes,AllEquityBalanceIncludingMinorityInterest,ShortTermDebt,LongTermDebt,OperatingLeaseCurrentDebtEquivalent,OperatingLeaseNonCurrentDebtEquivalent,CashAndMarketableSecurities,ShortTermInvestments
+2017,2008000000.0,105000000.0,616000000.0,5673000000.0,12000000.0,4134000000.0,0.0,0.0,1436000000.0,55000000.0
+2018,1693000000.0,118000000.0,353000000.0,4732000000.0,651000000.0,4365000000.0,0.0,0.0,902000000.0,61000000.0
+",
+US,fundamental,"Calculate the Return on Invested Capital for 3M in 2021. (Unit: %;  Use the sum of Pretax Income and Interest Expense as EBIT; Use the average of beginning and ending invested capital. Total cash is deducted rather than excess cash. Operating lease liabilities are capitalized and included in debt per ASC 842.) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",18.3495,easy,profitability,ROIC = NOPAT / Average Invested Capital * 100%; NOPAT = EBIT x (1 - effective tax rate); EBIT = Pretax Income + Interest Expense; effective tax rate = Income Taxes / Pretax Income; Invested Capital = Equity (incl. minority) + Total Debt (short + long-term debt + operating lease liabilities) - Cash and Short-Term Investments,"year,PretaxIncomeLoss,InterestExpense,IncomeTaxes,AllEquityBalanceIncludingMinorityInterest,ShortTermDebt,LongTermDebt,OperatingLeaseCurrentDebtEquivalent,OperatingLeaseNonCurrentDebtEquivalent,CashAndMarketableSecurities,ShortTermInvestments
+2020,6711000000.0,0.0,1318000000.0,12931000000.0,0.0,17989000000.0,256000000.0,609000000.0,0.0,404000000.0
+2021,7204000000.0,0.0,1285000000.0,15117000000.0,1307000000.0,16056000000.0,263000000.0,591000000.0,201000000.0,0.0
+",
+US,fundamental,"What is the Days Inventory Outstanding of Coca-Cola Company (The) in 2023? (Use the average of beginning and ending inventory; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",85.3079,easy,operational efficiency,Average Inventory / COGS * 365,"year,CostOfGoodsAndServicesSold,Inventories
+2022,18000000000.0,4233000000.0
+2023,18520000000.0,4424000000.0
+",
+US,fundamental,"What was Mondelez International's Days Inventory Outstanding in 2025? (Use the average of beginning and ending inventory; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",54.5212,easy,operational efficiency,Average Inventory / COGS * 365,"year,CostOfGoodsAndServicesSold,Inventories
+2024,22184000000.0,3827000000.0
+2025,27602000000.0,4419000000.0
+",
+US,fundamental,"In 2023, what was the Days Inventory Outstanding reported by Qualcomm? (Use the average of beginning and ending inventory; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",146.7797,easy,operational efficiency,Average Inventory / COGS * 365,"year,CostOfGoodsAndServicesSold,Inventories
+2022,18635000000.0,6341000000.0
+2023,15869000000.0,6422000000.0
+",
+US,fundamental,"For Analog Devices, what is the value of Days Inventory Outstanding in 2024? (Use the average of beginning and ending inventory; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",139.3803,easy,operational efficiency,Average Inventory / COGS * 365,"year,CostOfGoodsAndServicesSold,Inventories
+2023,4428321000.0,1642214000.0
+2024,4045814000.0,1447687000.0
+",
+US,fundamental,"Calculate the Days Inventory Outstanding for Philip Morris International in 2025. (Use the average of beginning and ending inventory; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",285.7929,easy,operational efficiency,Average Inventory / COGS * 365,"year,CostOfGoodsAndServicesSold,Inventories
+2024,13329000000.0,9453000000.0
+2025,13366000000.0,11478000000.0
+",
+US,fundamental,"What is the Days Sales Outstanding of Alphabet Inc. (Class C) in 2020? (Use the average of beginning and ending trade receivables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",56.2477,easy,operational efficiency,Average Trade Receivables / Revenue * 365,"year,Revenue,TradeReceivables
+2019,161857000000.0,25326000000.0
+2020,182527000000.0,30930000000.0
+",
+US,fundamental,"What was Deere & Company's Days Sales Outstanding in 2023? (Use the average of beginning and ending trade receivables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",42.1576,easy,operational efficiency,Average Trade Receivables / Revenue * 365,"year,Revenue,TradeReceivables
+2022,52577000000.0,6410000000.0
+2023,61251000000.0,7739000000.0
+",
+US,fundamental,"In 2023, what was the Days Sales Outstanding reported by W. W. Grainger? (Use the average of beginning and ending trade receivables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",47.901,easy,operational efficiency,Average Trade Receivables / Revenue * 365,"year,Revenue,TradeReceivables
+2022,15228000000.0,2133000000.0
+2023,16478000000.0,2192000000.0
+",
+US,fundamental,"For Edwards Lifesciences, what is the value of Days Sales Outstanding in 2017? (Use the average of beginning and ending trade receivables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",41.8146,easy,operational efficiency,Average Trade Receivables / Revenue * 365,"year,Revenue,TradeReceivables
+2016,2963700000.0,365500000.0
+2017,3435300000.0,421600000.0
+",
+US,fundamental,"Calculate the Days Sales Outstanding for Fair Isaac in 2020. (Use the average of beginning and ending trade receivables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",89.0404,easy,operational efficiency,Average Trade Receivables / Revenue * 365,"year,Revenue,TradeReceivables
+2019,1160083000.0,297427000.0
+2020,1294562000.0,334180000.0
+",
+US,fundamental,"What is the Days Payable Outstanding of Microchip Technology in 2023? (Use the average of beginning and ending trade payables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",42.1824,easy,operational efficiency,Average Trade Payables / COGS * 365,"year,CostOfGoodsAndServicesSold,TradePayables
+2022,2740800000.0,396900000.0
+2023,2638700000.0,213000000.0
+",
+US,fundamental,"What was Generac's Days Payable Outstanding in 2019? (Use the average of beginning and ending trade payables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",76.5595,easy,operational efficiency,Average Trade Payables / COGS * 365,"year,CostOfGoodsAndServicesSold,TradePayables
+2018,1298424000.0,328091000.0
+2019,1406584000.0,261977000.0
+",
+US,fundamental,"In 2018, what was the Days Payable Outstanding reported by Thermo Fisher Scientific? (Use the average of beginning and ending trade payables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",41.1338,easy,operational efficiency,Average Trade Payables / COGS * 365,"year,CostOfGoodsAndServicesSold,TradePayables
+2017,8976000000.0,1428000000.0
+2018,13501000000.0,1615000000.0
+",
+US,fundamental,"For J.M. Smucker Company (The), what is the value of Days Payable Outstanding in 2017? (Use the average of beginning and ending trade payables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",37.5092,easy,operational efficiency,Average Trade Payables / COGS * 365,"year,CostOfGoodsAndServicesSold,TradePayables
+2016,4843400000.0,459400000.0
+2017,4557000000.0,477200000.0
+",
+US,fundamental,"Calculate the Days Payable Outstanding for Howmet Aerospace in 2025. (Use the average of beginning and ending trade payables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",60.2398,easy,operational efficiency,Average Trade Payables / COGS * 365,"year,CostOfGoodsAndServicesSold,TradePayables
+2024,5119000000.0,948000000.0
+2025,5432000000.0,845000000.0
+",
+US,fundamental,"What is the Operating Cycle of Wabtec in 2018? (Use the average of beginning and ending inventory and trade receivables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",159.5669,easy,operational efficiency,Days Inventory Outstanding + Days Sales Outstanding,"year,CostOfGoodsAndServicesSold,Inventories,Revenue,TradeReceivables
+2017,2816443000.0,742634000.0,3881756000.0,800619000.0
+2018,3129662000.0,844886000.0,4363547000.0,801193000.0
+",
+US,fundamental,"What was Keurig Dr Pepper's Operating Cycle in 2017? (Use the average of beginning and ending inventory and trade receivables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",63.6405,easy,operational efficiency,Days Inventory Outstanding + Days Sales Outstanding,"year,CostOfGoodsAndServicesSold,Inventories,Revenue,TradeReceivables
+2016,2582000000.0,202000000.0,6440000000.0,595000000.0
+2017,2695000000.0,229000000.0,6690000000.0,668000000.0
+",
+US,fundamental,"In 2017, what was the Operating Cycle reported by Southwest Airlines? (Use the average of beginning and ending inventory and trade receivables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",29.2892,easy,operational efficiency,Days Inventory Outstanding + Days Sales Outstanding,"year,CostOfGoodsAndServicesSold,Inventories,Revenue,TradeReceivables
+2016,6798000000.0,337000000.0,20425000000.0,546000000.0
+2017,7319000000.0,420000000.0,21171000000.0,662000000.0
+",
+US,fundamental,"For KLA Corporation, what is the value of Operating Cycle in 2017? (Use the average of beginning and ending inventory and trade receivables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",265.0317,easy,operational efficiency,Days Inventory Outstanding + Days Sales Outstanding,"year,CostOfGoodsAndServicesSold,Inventories,Revenue,TradeReceivables
+2016,1163391000.0,698635000.0,2984493000.0,613233000.0
+2017,1287547000.0,732988000.0,3480014000.0,571117000.0
+",
+US,fundamental,"Calculate the Operating Cycle for Boston Scientific in 2017. (Use the average of beginning and ending inventory and trade receivables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",204.0002,easy,operational efficiency,Days Inventory Outstanding + Days Sales Outstanding,"year,CostOfGoodsAndServicesSold,Inventories,Revenue,TradeReceivables
+2016,2424000000.0,955000000.0,8386000000.0,1472000000.0
+2017,2593000000.0,1078000000.0,9048000000.0,1548000000.0
+",
+US,fundamental,"What is the Cash Conversion Cycle of Williams Companies in 2020? (Use the average of beginning and ending inventory, trade receivables, and trade payables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-40.292,easy,operational efficiency,Days Inventory Outstanding + Days Sales Outstanding - Days Payable Outstanding,"year,CostOfGoodsAndServicesSold,Inventories,Revenue,TradeReceivables,TradePayables
+2019,2066000000.0,125000000.0,8201000000.0,996000000.0,552000000.0
+2020,1613000000.0,136000000.0,7719000000.0,999000000.0,482000000.0
+",
+US,fundamental,"What was Teradyne's Cash Conversion Cycle in 2017? (Use the average of beginning and ending inventory, trade receivables, and trade payables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",52.0802,easy,operational efficiency,Days Inventory Outstanding + Days Sales Outstanding - Days Payable Outstanding,"year,CostOfGoodsAndServicesSold,Inventories,Revenue,TradeReceivables,TradePayables
+2016,793683000.0,135958000.0,1753250000.0,192444000.0,95362000.0
+2017,912734000.0,107525000.0,2136606000.0,272783000.0,86393000.0
+",
+US,fundamental,"In 2020, what was the Cash Conversion Cycle reported by Conagra Brands? (Use the average of beginning and ending inventory, trade receivables, and trade payables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",31.7977,easy,operational efficiency,Days Inventory Outstanding + Days Sales Outstanding - Days Payable Outstanding,"year,CostOfGoodsAndServicesSold,Inventories,Revenue,TradeReceivables,TradePayables
+2019,6885400000.0,1571700000.0,9538400000.0,831700000.0,1255300000.0
+2020,7984800000.0,1377900000.0,11054400000.0,860800000.0,1525600000.0
+",
+US,fundamental,"For Pfizer, what is the value of Cash Conversion Cycle in 2024? (Use the average of beginning and ending inventory, trade receivables, and trade payables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",153.8518,easy,operational efficiency,Days Inventory Outstanding + Days Sales Outstanding - Days Payable Outstanding,"year,CostOfGoodsAndServicesSold,Inventories,Revenue,TradeReceivables,TradePayables
+2023,24954000000.0,10189000000.0,58496000000.0,11177000000.0,6710000000.0
+2024,17851000000.0,10851000000.0,63627000000.0,11463000000.0,5633000000.0
+",
+US,fundamental,"Calculate the Cash Conversion Cycle for Kenvue in 2025. (Use the average of beginning and ending inventory, trade receivables, and trade payables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",12.5001,easy,operational efficiency,Days Inventory Outstanding + Days Sales Outstanding - Days Payable Outstanding,"year,CostOfGoodsAndServicesSold,Inventories,Revenue,TradeReceivables,TradePayables
+2024,6496000000.0,1591000000.0,15455000000.0,2165000000.0,2254000000.0
+2025,6332000000.0,1666000000.0,15124000000.0,2382000000.0,2473000000.0
+",
+US,fundamental,"What is the Inventory Turnover of Vertex Pharmaceuticals in 2017? (Use the average of beginning and ending inventory) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.8788,easy,operational efficiency,COGS / Average Inventory,"year,CostOfGoodsAndServicesSold,Inventories
+2016,206811000.0,77604000.0
+2017,272675000.0,111830000.0
+",
+US,fundamental,"What was 3M's Inventory Turnover in 2022? (Use the average of beginning and ending inventory) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.7138,easy,operational efficiency,COGS / Average Inventory,"year,CostOfGoodsAndServicesSold,Inventories
+2021,18795000000.0,4985000000.0
+2022,19232000000.0,5372000000.0
+",
+US,fundamental,"In 2025, what was the Inventory Turnover reported by Qualcomm? (Use the average of beginning and ending inventory) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.0486,easy,operational efficiency,COGS / Average Inventory,"year,CostOfGoodsAndServicesSold,Inventories
+2024,17060000000.0,6423000000.0
+2025,19738000000.0,6526000000.0
+",
+US,fundamental,"For Paycom, what is the value of Inventory Turnover in 2022? (Use the average of beginning and ending inventory) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",155.3988,easy,operational efficiency,COGS / Average Inventory,"year,CostOfGoodsAndServicesSold,Inventories
+2021,161886000.0,1131000.0
+2022,212741000.0,1607000.0
+",
+US,fundamental,"Calculate the Inventory Turnover for Starbucks in 2023. (Use the average of beginning and ending inventory) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",5.7289,easy,operational efficiency,COGS / Average Inventory,"year,CostOfGoodsAndServicesSold,Inventories
+2022,10317400000.0,2176600000.0
+2023,11409100000.0,1806400000.0
+",
+US,fundamental,"What is the Receivables Turnover of Procter & Gamble in 2019? (Use the average of beginning and ending trade receivables) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",14.0467,easy,operational efficiency,Revenue / Average Trade Receivables,"year,Revenue,TradeReceivables
+2018,66832000000.0,4686000000.0
+2019,67684000000.0,4951000000.0
+",
+US,fundamental,"What was Evergy's Receivables Turnover in 2020? (Use the average of beginning and ending trade receivables) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",19.5597,easy,operational efficiency,Revenue / Average Trade Receivables,"year,Revenue,TradeReceivables
+2019,5147800000.0,228500000.0
+2020,4913400000.0,273900000.0
+",
+US,fundamental,"In 2022, what was the Receivables Turnover reported by Hershey Company (The)? (Use the average of beginning and ending trade receivables) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",15.0713,easy,operational efficiency,Revenue / Average Trade Receivables,"year,Revenue,TradeReceivables
+2021,8971337000.0,671464000.0
+2022,10419294000.0,711203000.0
+",
+US,fundamental,"For Medtronic, what is the value of Receivables Turnover in 2025? (Use the average of beginning and ending trade receivables) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",5.3052,easy,operational efficiency,Revenue / Average Trade Receivables,"year,Revenue,TradeReceivables
+2024,32364000000.0,6128000000.0
+2025,33537000000.0,6515000000.0
+",
+US,fundamental,"Calculate the Receivables Turnover for Albemarle Corporation in 2017. (Use the average of beginning and ending trade receivables) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",6.0214,easy,operational efficiency,Revenue / Average Trade Receivables,"year,Revenue,TradeReceivables
+2016,2677203000.0,486035000.0
+2017,3071976000.0,534326000.0
+",
+US,fundamental,"What is the Payables Turnover of Norfolk Southern in 2017? (Use the average of beginning and ending trade payables) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.2286,easy,operational efficiency,COGS / Average Trade Payables,"year,CostOfGoodsAndServicesSold,TradePayables
+2016,2743000000.0,1215000000.0
+2017,2915000000.0,1401000000.0
+",
+US,fundamental,"What was Intuitive Surgical's Payables Turnover in 2024? (Use the average of beginning and ending trade payables) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",14.2261,easy,operational efficiency,COGS / Average Trade Payables,"year,CostOfGoodsAndServicesSold,TradePayables
+2023,2394600000.0,188700000.0
+2024,2717900000.0,193400000.0
+",
+US,fundamental,"In 2017, what was the Payables Turnover reported by Ford Motor Company? (Use the average of beginning and ending trade payables) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",5.8922,easy,operational efficiency,COGS / Average Trade Payables,"year,CostOfGoodsAndServicesSold,TradePayables
+2016,126584000000.0,21296000000.0
+2017,131332000000.0,23282000000.0
+",
+US,fundamental,"For Align Technology, what is the value of Payables Turnover in 2024? (Use the average of beginning and ending trade payables) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",10.8184,easy,operational efficiency,COGS / Average Trade Payables,"year,CostOfGoodsAndServicesSold,TradePayables
+2023,1155397000.0,113125000.0
+2024,1199853000.0,108693000.0
+",
+US,fundamental,"Calculate the Payables Turnover for Kinder Morgan in 2017. (Use the average of beginning and ending trade payables) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.3462,easy,operational efficiency,COGS / Average Trade Payables,"year,CostOfGoodsAndServicesSold,TradePayables
+2016,3498000000.0,1257000000.0
+2017,4345000000.0,1340000000.0
+",
+US,fundamental,"What is the Total Asset Turnover of Chevron Corporation in 2018? (Use the average of beginning and ending total assets) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.626,easy,operational efficiency,Revenue / Average Total Assets,"year,Revenue,Assets
+2017,141722000000.0,253806000000.0
+2018,158902000000.0,253863000000.0
+",
+US,fundamental,"What was Arch Capital Group's Total Asset Turnover in 2019? (Use the average of beginning and ending total assets) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.1977,easy,operational efficiency,Revenue / Average Total Assets,"year,Revenue,Assets
+2018,5450568000.0,32218329000.0
+2019,6928200000.0,37885361000.0
+",
+US,fundamental,"In 2024, what was the Total Asset Turnover reported by Ingersoll Rand? (Use the average of beginning and ending total assets) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.431,easy,operational efficiency,Revenue / Average Total Assets,"year,Revenue,Assets
+2023,6876100000.0,15563500000.0
+2024,7235000000.0,18009800000.0
+",
+US,fundamental,"For Philip Morris International, what is the value of Total Asset Turnover in 2018? (Use the average of beginning and ending total assets) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.9288,easy,operational efficiency,Revenue / Average Total Assets,"year,Revenue,Assets
+2017,78098000000.0,42968000000.0
+2018,79823000000.0,39801000000.0
+",
+US,fundamental,"Calculate the Total Asset Turnover for Hubbell Incorporated in 2022. (Use the average of beginning and ending total assets) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.9262,easy,operational efficiency,Revenue / Average Total Assets,"year,Revenue,Assets
+2021,4194100000.0,5281500000.0
+2022,4947900000.0,5402600000.0
+",
+US,fundamental,"What is the Fixed Asset Turnover of Bunge Global in 2025? (Use the average of beginning and ending fixed assets) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",8.3072,easy,operational efficiency,Revenue / Average Net PP&E,"year,Revenue,PlantPropertyEquipmentNet
+2024,53108000000.0,5254000000.0
+2025,70329000000.0,11678000000.0
+",
+US,fundamental,"What was Dow Inc.'s Fixed Asset Turnover in 2024? (Use the average of beginning and ending fixed assets) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.9951,easy,operational efficiency,Revenue / Average Net PP&E,"year,Revenue,PlantPropertyEquipmentNet
+2023,44622000000.0,21066000000.0
+2024,42964000000.0,22004000000.0
+",
+US,fundamental,"In 2018, what was the Fixed Asset Turnover reported by EQT Corporation? (Use the average of beginning and ending fixed assets) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.2228,easy,operational efficiency,Revenue / Average Net PP&E,"year,Revenue,PlantPropertyEquipmentNet
+2017,2651318000.0,24885015000.0
+2018,4709384000.0,17392507000.0
+",
+US,fundamental,"For CSX Corporation, what is the value of Fixed Asset Turnover in 2018? (Use the average of beginning and ending fixed assets) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.3842,easy,operational efficiency,Revenue / Average Net PP&E,"year,Revenue,PlantPropertyEquipmentNet
+2017,11408000000.0,31764000000.0
+2018,12250000000.0,31998000000.0
+",
+US,fundamental,"Calculate the Fixed Asset Turnover for Gartner in 2020. (Use the average of beginning and ending fixed assets) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",12.0333,easy,operational efficiency,Revenue / Average Net PP&E,"year,Revenue,PlantPropertyEquipmentNet
+2019,4245321000.0,344579000.0
+2020,4099403000.0,336765000.0
+",
+US,fundamental,"What is the Working Capital Turnover of Live Nation Entertainment in 2021? (Use the average of beginning and ending net working capital) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-39.371,easy,operational efficiency,Revenue / Average Net Working Capital,"year,Revenue,CurrentAssetsTotal,CurrentLiabilitiesTotal
+2020,1861178000.0,3649768000.0,3796569000.0
+2021,6268447000.0,6684093000.0,6855722000.0
+",
+US,fundamental,"What was Motorola Solutions's Working Capital Turnover in 2019? (Use the average of beginning and ending net working capital) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",8.2371,easy,operational efficiency,Revenue / Average Net Working Capital,"year,Revenue,CurrentAssetsTotal,CurrentLiabilitiesTotal
+2018,7343000000.0,4272000000.0,3096000000.0
+2019,7887000000.0,4178000000.0,3439000000.0
+",
+US,fundamental,"In 2024, what was the Working Capital Turnover reported by Republic Services? (Use the average of beginning and ending net working capital) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-8.9833,easy,operational efficiency,Revenue / Average Net Working Capital,"year,Revenue,CurrentAssetsTotal,CurrentLiabilitiesTotal
+2023,14964500000.0,2381000000.0,4228300000.0
+2024,16032000000.0,2406000000.0,4128000000.0
+",
+US,fundamental,"For Marriott International, what is the value of Working Capital Turnover in 2020? (Use the average of beginning and ending net working capital) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-3.2642,easy,operational efficiency,Revenue / Average Net Working Capital,"year,Revenue,CurrentAssetsTotal,CurrentLiabilitiesTotal
+2019,20972000000.0,3127000000.0,6677000000.0
+2020,10571000000.0,2825000000.0,5752000000.0
+",
+US,fundamental,"Calculate the Working Capital Turnover for McDonald's in 2020. (Use the average of beginning and ending net working capital) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-34923.2727,easy,operational efficiency,Revenue / Average Net Working Capital,"year,Revenue,CurrentAssetsTotal,CurrentLiabilitiesTotal
+2019,21076500000.0,3557900000.0,3621000000.0
+2020,19207800000.0,6243200000.0,6181200000.0
+",
+US,fundamental,"What is the Current Ratio of FedEx in 2025? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.193,easy,solvency,Current Assets / Current Liabilities,"year,CurrentAssetsTotal,CurrentLiabilitiesTotal
+2025,18386000000.0,15411000000.0
+",
+US,fundamental,"What was Southwest Airlines's Current Ratio in 2022? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.4269,easy,solvency,Current Assets / Current Liabilities,"year,CurrentAssetsTotal,CurrentLiabilitiesTotal
+2022,14808000000.0,10378000000.0
+",
+US,fundamental,"In 2018, what was the Current Ratio reported by Tyson Foods? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.1306,easy,solvency,Current Assets / Current Liabilities,"year,CurrentAssetsTotal,CurrentLiabilitiesTotal
+2018,5688000000.0,5031000000.0
+",
+US,fundamental,"For LyondellBasell, what is the value of Current Ratio in 2025? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.7732,easy,solvency,Current Assets / Current Liabilities,"year,CurrentAssetsTotal,CurrentLiabilitiesTotal
+2025,10868000000.0,6129000000.0
+",
+US,fundamental,"Calculate the Current Ratio for Biogen in 2018. According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.3188,easy,solvency,Current Assets / Current Liabilities,"year,CurrentAssetsTotal,CurrentLiabilitiesTotal
+2018,7640900000.0,3295200000.0
+",
+US,fundamental,"What is the Quick Ratio of Take-Two Interactive in 2021? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.8327,easy,solvency,(Current Assets - Inventory) / Current Liabilities,"year,CurrentAssetsTotal,CurrentLiabilitiesTotal,Inventories
+2021,3871088000.0,2104964000.0,13224000.0
+",
+US,fundamental,"What was Leidos's Quick Ratio in 2020? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0537,easy,solvency,(Current Assets - Inventory) / Current Liabilities,"year,CurrentAssetsTotal,CurrentLiabilitiesTotal,Inventories
+2020,3339000000.0,2907000000.0,276000000.0
+",
+US,fundamental,"In 2022, what was the Quick Ratio reported by Microsoft? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.7453,easy,solvency,(Current Assets - Inventory) / Current Liabilities,"year,CurrentAssetsTotal,CurrentLiabilitiesTotal,Inventories
+2022,169684000000.0,95082000000.0,3742000000.0
+",
+US,fundamental,"For Procter & Gamble, what is the value of Quick Ratio in 2025? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.4948,easy,solvency,(Current Assets - Inventory) / Current Liabilities,"year,CurrentAssetsTotal,CurrentLiabilitiesTotal,Inventories
+2025,25392000000.0,36058000000.0,7551000000.0
+",
+US,fundamental,"Calculate the Quick Ratio for Gilead Sciences in 2019. According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.0099,easy,solvency,(Current Assets - Inventory) / Current Liabilities,"year,CurrentAssetsTotal,CurrentLiabilitiesTotal,Inventories
+2019,30296000000.0,9759000000.0,922000000.0
+",
+US,fundamental,"What is the Cash Ratio of Regeneron Pharmaceuticals in 2017? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.2414,easy,solvency,(Cash + Short-Term Investments) / Current Liabilities,"year,CashAndMarketableSecurities,ShortTermInvestments,CurrentLiabilitiesTotal
+2017,812733000.0,596847000.0,1135483000.0
+",
+US,fundamental,"What was Skyworks Solutions's Cash Ratio in 2021? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.5491,easy,solvency,(Cash + Short-Term Investments) / Current Liabilities,"year,CashAndMarketableSecurities,ShortTermInvestments,CurrentLiabilitiesTotal
+2021,882900000.0,137200000.0,658500000.0
+",
+US,fundamental,"In 2021, what was the Cash Ratio reported by Lilly (Eli)? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.2597,easy,solvency,(Cash + Short-Term Investments) / Current Liabilities,"year,CashAndMarketableSecurities,ShortTermInvestments,CurrentLiabilitiesTotal
+2021,3818500000.0,90100000.0,15052700000.0
+",
+US,fundamental,"For Air Products, what is the value of Cash Ratio in 2016? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.4573,easy,solvency,(Cash + Short-Term Investments) / Current Liabilities,"year,CashAndMarketableSecurities,ShortTermInvestments,CurrentLiabilitiesTotal
+2016,1501300000.0,0.0,3283300000.0
+",
+US,fundamental,"Calculate the Cash Ratio for Corteva in 2023. According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.2634,easy,solvency,(Cash + Short-Term Investments) / Current Liabilities,"year,CashAndMarketableSecurities,ShortTermInvestments,CurrentLiabilitiesTotal
+2023,2644000000.0,98000000.0,10409000000.0
+",
+US,fundamental,"What is the Liability-to-Asset Ratio of Kinder Morgan in 2024? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",55.3727,easy,solvency,Total Liabilities / Total Assets * 100%,"year,Liabilities,Assets
+2024,39540000000.0,71407000000.0
+",
+US,fundamental,"What was Extra Space Storage's Liability-to-Asset Ratio in 2021? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",63.8552,easy,solvency,Total Liabilities / Total Assets * 100%,"year,Liabilities,Assets
+2021,6688501000.0,10474477000.0
+",
+US,fundamental,"In 2017, what was the Liability-to-Asset Ratio reported by Dominion Energy? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",74.7078,easy,solvency,Total Liabilities / Total Assets * 100%,"year,Liabilities,Assets
+2017,57215000000.0,76585000000.0
+",
+US,fundamental,"For Constellation Energy, what is the value of Liability-to-Asset Ratio in 2025? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",74.0554,easy,solvency,Total Liabilities / Total Assets * 100%,"year,Liabilities,Assets
+2025,42396000000.0,57249000000.0
+",
+US,fundamental,"Calculate the Liability-to-Asset Ratio for Freeport-McMoRan in 2025. (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",47.1075,easy,solvency,Total Liabilities / Total Assets * 100%,"year,Liabilities,Assets
+2025,27401000000.0,58167000000.0
+",
+US,fundamental,"What is the Liability-to-Equity Ratio of GE Aerospace in 2021? (Unit: %; Total equity includes minority interest) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",377.9246,easy,solvency,Total Liabilities / Total Equity * 100%,"year,Liabilities,AllEquityBalanceIncludingMinorityInterest
+2021,157262000000.0,41612000000.0
+",
+US,fundamental,"What was Emcor's Liability-to-Equity Ratio in 2022? (Unit: %; Total equity includes minority interest) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",179.8274,easy,solvency,Total Liabilities / Total Equity * 100%,"year,Liabilities,AllEquityBalanceIncludingMinorityInterest
+2022,3550316000.0,1974291000.0
+",
+US,fundamental,"In 2020, what was the Liability-to-Equity Ratio reported by BNY Mellon? (Unit: %; Total equity includes minority interest) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",921.8026,easy,solvency,Total Liabilities / Total Equity * 100%,"year,Liabilities,AllEquityBalanceIncludingMinorityInterest
+2020,423513000000.0,45944000000.0
+",
+US,fundamental,"For Uber, what is the value of Liability-to-Equity Ratio in 2023? (Unit: %; Total equity includes minority interest) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",216.3036,easy,solvency,Total Liabilities / Total Equity * 100%,"year,Liabilities,AllEquityBalanceIncludingMinorityInterest
+2023,26017000000.0,12028000000.0
+",
+US,fundamental,"Calculate the Liability-to-Equity Ratio for Kroger in 2022. (Unit: %; Total equity includes minority interest) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",395.5362,easy,solvency,Total Liabilities / Total Equity * 100%,"year,Liabilities,AllEquityBalanceIncludingMinorityInterest
+2022,39609000000.0,10014000000.0
+",
+US,fundamental,"What is the Net Debt to Equity of Equinix in 2024? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.9188,easy,solvency,Net Debt / Total Equity; Net Debt = Total Debt (short + long-term debt + operating lease liabilities) - Cash - Short-Term Investments,"year,ShortTermDebt,LongTermDebt,OperatingLeaseCurrentDebtEquivalent,OperatingLeaseNonCurrentDebtEquivalent,CashAndMarketableSecurities,ShortTermInvestments,AllEquityBalanceIncludingMinorityInterest
+2024,1199000000.0,13363000000.0,144000000.0,1331000000.0,3081000000.0,527000000.0,13527000000.0
+",
+US,fundamental,"What was CVS Health's Net Debt to Equity in 2022? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.7464,easy,solvency,Net Debt / Total Equity; Net Debt = Total Debt (short + long-term debt + operating lease liabilities) - Cash - Short-Term Investments,"year,ShortTermDebt,LongTermDebt,OperatingLeaseCurrentDebtEquivalent,OperatingLeaseNonCurrentDebtEquivalent,CashAndMarketableSecurities,ShortTermInvestments,AllEquityBalanceIncludingMinorityInterest
+2022,0.0,50476000000.0,1678000000.0,16800000000.0,12945000000.0,2778000000.0,71315000000.0
+",
+US,fundamental,"In 2021, what was the Net Debt to Equity reported by Dow Inc.? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.6893,easy,solvency,Net Debt / Total Equity; Net Debt = Total Debt (short + long-term debt + operating lease liabilities) - Cash - Short-Term Investments,"year,ShortTermDebt,LongTermDebt,OperatingLeaseCurrentDebtEquivalent,OperatingLeaseNonCurrentDebtEquivalent,CashAndMarketableSecurities,ShortTermInvestments,AllEquityBalanceIncludingMinorityInterest
+2021,161000000.0,14280000000.0,314000000.0,1149000000.0,2988000000.0,0.0,18739000000.0
+",
+US,fundamental,"For EPAM Systems, what is the value of Net Debt to Equity in 2022? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-0.4955,easy,solvency,Net Debt / Total Equity; Net Debt = Total Debt (short + long-term debt + operating lease liabilities) - Cash - Short-Term Investments,"year,ShortTermDebt,LongTermDebt,OperatingLeaseCurrentDebtEquivalent,OperatingLeaseNonCurrentDebtEquivalent,CashAndMarketableSecurities,ShortTermInvestments,AllEquityBalanceIncludingMinorityInterest
+2022,2861000.0,27693000.0,40352000.0,122317000.0,1681344000.0,0.0,3003010000.0
+",
+US,fundamental,"Calculate the Net Debt to Equity for United Parcel Service in 2025. According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.3967,easy,solvency,Net Debt / Total Equity; Net Debt = Total Debt (short + long-term debt + operating lease liabilities) - Cash - Short-Term Investments,"year,ShortTermDebt,LongTermDebt,OperatingLeaseCurrentDebtEquivalent,OperatingLeaseNonCurrentDebtEquivalent,CashAndMarketableSecurities,ShortTermInvestments,AllEquityBalanceIncludingMinorityInterest
+2025,608000000.0,23519000000.0,763000000.0,3700000000.0,5887000000.0,0.0,16255000000.0
+",
+US,fundamental,"What is the Interest Coverage Ratio of Trimble Inc. in 2022? ( Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",8.7852,easy,solvency,EBIT / Interest Expense = (Pretax Income + Interest Expense) / Interest Expense,"year,PretaxIncomeLoss,InterestExpense
+2022,569100000.0,73100000.0
+",
+US,fundamental,"What was Chevron Corporation's Interest Coverage Ratio in 2021? ( Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",31.3919,easy,solvency,EBIT / Interest Expense = (Pretax Income + Interest Expense) / Interest Expense,"year,PretaxIncomeLoss,InterestExpense
+2021,21639000000.0,712000000.0
+",
+US,fundamental,"In 2016, what was the Interest Coverage Ratio reported by Bank of America? ( Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.5251,easy,solvency,EBIT / Interest Expense = (Pretax Income + Interest Expense) / Interest Expense,"year,PretaxIncomeLoss,InterestExpense
+2016,25153000000.0,9961000000.0
+",
+US,fundamental,"For Lockheed Martin, what is the value of Interest Coverage Ratio in 2024? ( Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",7.0039,easy,solvency,EBIT / Interest Expense = (Pretax Income + Interest Expense) / Interest Expense,"year,PretaxIncomeLoss,InterestExpense
+2024,6220000000.0,1036000000.0
+",
+US,fundamental,"Calculate the Interest Coverage Ratio for Ingersoll Rand in 2023. ( Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",7.5801,easy,solvency,EBIT / Interest Expense = (Pretax Income + Interest Expense) / Interest Expense,"year,PretaxIncomeLoss,InterestExpense
+2023,1031100000.0,156700000.0
+",
+US,fundamental,"What is the Net Debt to EBITDA of Dow Inc. in 2022? ( Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.2653,easy,solvency,Net Debt / EBITDA; Net Debt = Total Debt (short + long-term debt + operating lease liabilities) - Cash - Short-Term Investments; EBITDA = Pretax Income + Interest Expense + D&A,"year,ShortTermDebt,LongTermDebt,OperatingLeaseCurrentDebtEquivalent,OperatingLeaseNonCurrentDebtEquivalent,CashAndMarketableSecurities,ShortTermInvestments,PretaxIncomeLoss,InterestExpense,DepreciationExpense,AmortizationOfIntangibles
+2022,362000000.0,14698000000.0,287000000.0,997000000.0,3886000000.0,0.0,6090000000.0,662000000.0,2758000000.0,336000000.0
+",
+US,fundamental,"What was United Parcel Service's Net Debt to EBITDA in 2025? ( Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.9035,easy,solvency,Net Debt / EBITDA; Net Debt = Total Debt (short + long-term debt + operating lease liabilities) - Cash - Short-Term Investments; EBITDA = Pretax Income + Interest Expense + D&A,"year,ShortTermDebt,LongTermDebt,OperatingLeaseCurrentDebtEquivalent,OperatingLeaseNonCurrentDebtEquivalent,CashAndMarketableSecurities,ShortTermInvestments,PretaxIncomeLoss,InterestExpense,Depreciation & Amortization
+2025,608000000.0,23519000000.0,763000000.0,3700000000.0,5887000000.0,0.0,7164000000.0,1017000000.0,3746000000.0
+",
+US,fundamental,"In 2022, what was the Net Debt to EBITDA reported by Tyler Technologies? ( Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.6545,easy,solvency,Net Debt / EBITDA; Net Debt = Total Debt (short + long-term debt + operating lease liabilities) - Cash - Short-Term Investments; EBITDA = Pretax Income + Interest Expense + D&A,"year,ShortTermDebt,LongTermDebt,OperatingLeaseCurrentDebtEquivalent,OperatingLeaseNonCurrentDebtEquivalent,CashAndMarketableSecurities,ShortTermInvestments,PretaxIncomeLoss,InterestExpense,Depreciation & Amortization
+2022,30000000.0,362905000.0,10736000.0,48049000.0,173857000.0,37030000.0,187593000.0,21256000.0,159072000.0
+",
+US,fundamental,"For T-Mobile US, what is the value of Net Debt to EBITDA in 2018? ( Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.9861,easy,solvency,Net Debt / EBITDA; Net Debt = Total Debt (short + long-term debt + operating lease liabilities) - Cash - Short-Term Investments; EBITDA = Pretax Income + Interest Expense + D&A,"year,ShortTermDebt,LongTermDebt,OperatingLeaseCurrentDebtEquivalent,OperatingLeaseNonCurrentDebtEquivalent,CashAndMarketableSecurities,ShortTermInvestments,PretaxIncomeLoss,InterestExpense,Depreciation & Amortization
+2018,841000000.0,12124000000.0,0.0,0.0,1203000000.0,0.0,3917000000.0,1525000000.0,6486000000.0
+",
+US,fundamental,"Calculate the Net Debt to EBITDA for Carnival in 2025. ( Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.3949,easy,solvency,Net Debt / EBITDA; Net Debt = Total Debt (short + long-term debt + operating lease liabilities) - Cash - Short-Term Investments; EBITDA = Pretax Income + Interest Expense + D&A,"year,ShortTermDebt,LongTermDebt,OperatingLeaseCurrentDebtEquivalent,OperatingLeaseNonCurrentDebtEquivalent,CashAndMarketableSecurities,ShortTermInvestments,PretaxIncomeLoss,InterestExpense,Depreciation & Amortization
+2025,0.0,24037000000.0,175000000.0,1178000000.0,1928000000.0,0.0,2772000000.0,1349000000.0,2790000000.0
+",
+US,fundamental,"What is the Revenue Growth of PTC Inc. in 2020? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",16.15,easy,growth,(Revenue_t - Revenue_{t-1}) / Revenue_{t-1} * 100%,"year,Revenue
+2019,1255631000.0
+2020,1458415000.0
+",
+US,fundamental,"What was Analog Devices's Revenue Growth in 2017? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",49.2807,easy,growth,(Revenue_t - Revenue_{t-1}) / Revenue_{t-1} * 100%,"year,Revenue
+2016,3421409000.0
+2017,5107503000.0
+",
+US,fundamental,"In 2024, what was the Revenue Growth reported by TransDigm Group? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",20.5771,easy,growth,(Revenue_t - Revenue_{t-1}) / Revenue_{t-1} * 100%,"year,Revenue
+2023,6585000000.0
+2024,7940000000.0
+",
+US,fundamental,"For Regency Centers, what is the value of Revenue Growth in 2017? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",60.2169,easy,growth,(Revenue_t - Revenue_{t-1}) / Revenue_{t-1} * 100%,"year,Revenue
+2016,1228742000.0
+2017,1968652000.0
+",
+US,fundamental,"Calculate the Revenue Growth for Target Corporation in 2019. (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.6573,easy,growth,(Revenue_t - Revenue_{t-1}) / Revenue_{t-1} * 100%,"year,Revenue
+2018,75356000000.0
+2019,78112000000.0
+",
+US,fundamental,"What is the EBITDA Growth of D. R. Horton in 2020? (Unit: %; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",39.1903,easy,growth,(EBITDA_t - EBITDA_{t-1}) / EBITDA_{t-1} * 100%; EBITDA = Pretax Income + Interest Expense + D&A,"year,PretaxIncomeLoss,InterestExpense,Depreciation & Amortization
+2019,2125300000.0,10900000.0,72000000.0
+2020,2983000000.0,10200000.0,80400000.0
+",
+US,fundamental,"What was Huntington Ingalls Industries's EBITDA Growth in 2021? (Unit: %; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-14.2613,easy,growth,(EBITDA_t - EBITDA_{t-1}) / EBITDA_{t-1} * 100%; EBITDA = Pretax Income + Interest Expense + D&A,"year,PretaxIncomeLoss,InterestExpense,DepreciationExpense,AmortizationOfIntangibles
+2020,810000000.0,114000000.0,191000000.0,56000000.0
+2021,622000000.0,89000000.0,207000000.0,86000000.0
+",
+US,fundamental,"In 2021, what was the EBITDA Growth reported by Arista Networks? (Unit: %; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",25.2421,easy,growth,(EBITDA_t - EBITDA_{t-1}) / EBITDA_{t-1} * 100%; EBITDA = Pretax Income + Interest Expense + D&A,"year,PretaxIncomeLoss,InterestExpense,Depreciation & Amortization
+2020,738863000.0,0.0,44590000.0
+2021,930879000.0,0.0,50334000.0
+",
+US,fundamental,"For Assurant, what is the value of EBITDA Growth in 2020? (Unit: %; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-4.9932,easy,growth,(EBITDA_t - EBITDA_{t-1}) / EBITDA_{t-1} * 100%; EBITDA = Pretax Income + Interest Expense + D&A,"year,PretaxIncomeLoss,InterestExpense,DepreciationExpense,AmortizationOfIntangibles
+2019,554500000.0,110600000.0,125800000.0,16200000.0
+2020,515300000.0,104500000.0,144300000.0,2700000.0
+",
+US,fundamental,"Calculate the EBITDA Growth for Merck & Co. in 2025. (Unit: %; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",9.457,easy,growth,(EBITDA_t - EBITDA_{t-1}) / EBITDA_{t-1} * 100%; EBITDA = Pretax Income + Interest Expense + D&A,"year,PretaxIncomeLoss,InterestExpense,DepreciationExpense,AmortizationOfIntangibles
+2024,19936000000.0,0.0,2104000000.0,39000000.0
+2025,21067000000.0,0.0,3045000000.0,55000000.0
+",
+US,fundamental,"What is the Net Income Growth of Zebra Technologies in 2023? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-36.0691,easy,growth,(Net Income_t - Net Income_{t-1}) / |Net Income_{t-1}| * 100%,"year,NetIncome
+2022,463000000.0
+2023,296000000.0
+",
+US,fundamental,"What was Archer Daniels Midland's Net Income Growth in 2017? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",24.7068,easy,growth,(Net Income_t - Net Income_{t-1}) / |Net Income_{t-1}| * 100%,"year,NetIncome
+2016,1279000000.0
+2017,1595000000.0
+",
+US,fundamental,"In 2024, what was the Net Income Growth reported by Emcor? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",59.1081,easy,growth,(Net Income_t - Net Income_{t-1}) / |Net Income_{t-1}| * 100%,"year,NetIncome
+2023,632994000.0
+2024,1007145000.0
+",
+US,fundamental,"For EOG Resources, what is the value of Net Income Growth in 2025? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-22.224,easy,growth,(Net Income_t - Net Income_{t-1}) / |Net Income_{t-1}| * 100%,"year,NetIncome
+2024,6403000000.0
+2025,4980000000.0
+",
+US,fundamental,"Calculate the Net Income Growth for Live Nation Entertainment in 2025. (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-44.6637,easy,growth,(Net Income_t - Net Income_{t-1}) / |Net Income_{t-1}| * 100%,"year,NetIncome
+2024,896287000.0
+2025,495972000.0
+",
+US,fundamental,"What is the EPS Growth of Realty Income in 2023? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-11.3377,easy,growth,(EPS_t - EPS_{t-1}) / |EPS_{t-1}| * 100%; EPS = Net Income / Weighted-Average Basic Shares,"year,NetIncome,SharesAverage
+2022,869408000.0,611765815.0
+2023,872309000.0,692298000.0
+",
+US,fundamental,"What was ConocoPhillips's EPS Growth in 2019? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",19.9589,easy,growth,(EPS_t - EPS_{t-1}) / |EPS_{t-1}| * 100%; EPS = Net Income / Weighted-Average Basic Shares,"year,NetIncome,SharesAverage
+2018,6257000000.0,1166499.0
+2019,7189000000.0,1117260.0
+",
+US,fundamental,"In 2017, what was the EPS Growth reported by Northrop Grumman? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-6.0458,easy,growth,(EPS_t - EPS_{t-1}) / |EPS_{t-1}| * 100%; EPS = Net Income / Weighted-Average Basic Shares,"year,NetIncome,SharesAverage
+2016,2200000000.0,178900000.0
+2017,2015000000.0,174400000.0
+",
+US,fundamental,"For BNY Mellon, what is the value of EPS Growth in 2021? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",8.6756,easy,growth,(EPS_t - EPS_{t-1}) / |EPS_{t-1}| * 100%; EPS = Net Income / Weighted-Average Basic Shares,"year,NetIncome,SharesAverage
+2020,3617000000.0,890839000.0
+2021,3759000000.0,851905000.0
+",
+US,fundamental,"Calculate the EPS Growth for Quanta Services in 2021. (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",9.4881,easy,growth,(EPS_t - EPS_{t-1}) / |EPS_{t-1}| * 100%; EPS = Net Income / Weighted-Average Basic Shares,"year,NetIncome,SharesAverage
+2020,445596000.0,141380000.0
+2021,485956000.0,140824000.0
+",
+US,fundamental,"What is the Free Cash Flow of RTX Corporation in 2025? (Unit: $) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",7940000000.0,easy,cash flow,CFO - Capex,"year,NetCashFromOperatingActivities,CapitalExpenses
+2025,10567000000.0,2627000000.0
+",
+US,fundamental,"What was Mettler Toledo's Free Cash Flow in 2019? (Unit: $) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",506109000.0,easy,cash flow,CFO - Capex,"year,NetCashFromOperatingActivities,CapitalExpenses
+2019,603450000.0,97341000.0
+",
+US,fundamental,"In 2023, what was the Free Cash Flow reported by Cognizant? (Unit: $) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2013000000.0,easy,cash flow,CFO - Capex,"year,NetCashFromOperatingActivities,CapitalExpenses
+2023,2330000000.0,317000000.0
+",
+US,fundamental,"For Verisk Analytics, what is the value of Free Cash Flow in 2023? (Unit: $) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",830700000.0,easy,cash flow,CFO - Capex,"year,NetCashFromOperatingActivities,CapitalExpenses
+2023,1060700000.0,230000000.0
+",
+US,fundamental,"Calculate the Free Cash Flow for Republic Services in 2016. (Unit: $) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",920000000.0,easy,cash flow,CFO - Capex,"year,NetCashFromOperatingActivities,CapitalExpenses
+2016,1847800000.0,927800000.0
+",
+US,fundamental,"What is the Free Cash Flow to Firm of CoStar Group in 2024? (Unit: $) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-46115611.6135,easy,cash flow,CFO - Capex + Interest Expense x (1 - effective tax rate),"year,NetCashFromOperatingActivities,CapitalExpenses,InterestExpense,IncomeTaxes,PretaxIncomeLoss
+2024,392600000.0,579000000.0,212500000.0,71400000.0,210100000.0
+",
+US,fundamental,"What was Williams-Sonoma's Free Cash Flow to Firm in 2021? (Unit: $) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1146077453.6142,easy,cash flow,CFO - Capex + Interest Expense x (1 - effective tax rate),"year,NetCashFromOperatingActivities,CapitalExpenses,InterestExpense,IncomeTaxes,PretaxIncomeLoss
+2021,1371147000.0,226517000.0,1865000.0,324914000.0,1451251000.0
+",
+US,fundamental,"In 2017, what was the Free Cash Flow to Firm reported by Jabil? (Unit: $) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",604991417.417,easy,cash flow,CFO - Capex + Interest Expense x (1 - effective tax rate),"year,NetCashFromOperatingActivities,CapitalExpenses,InterestExpense,IncomeTaxes,PretaxIncomeLoss
+2017,1256643000.0,716485000.0,130635000.0,129066000.0,256233000.0
+",
+US,fundamental,"For Universal Health Services, what is the value of Free Cash Flow to Firm in 2020? (Unit: $) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1710848481.1358,easy,cash flow,CFO - Capex + Interest Expense x (1 - effective tax rate),"year,NetCashFromOperatingActivities,CapitalExpenses,InterestExpense,IncomeTaxes,PretaxIncomeLoss
+2020,2360169000.0,731307000.0,106285000.0,286247000.0,1252083000.0
+",
+US,fundamental,"Calculate the Free Cash Flow to Firm for ServiceNow in 2025. (Unit: $) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",4593008403.3613,easy,cash flow,CFO - Capex + Interest Expense x (1 - effective tax rate),"year,NetCashFromOperatingActivities,CapitalExpenses,InterestExpense,IncomeTaxes,PretaxIncomeLoss
+2025,5444000000.0,868000000.0,22000000.0,513000000.0,2261000000.0
+",
+US,fundamental,"What is the Free Cash Flow to Equity of Cigna in 2019? (Unit: $; Net Borrowing is approximated as the year-over-year change in (short-term debt + long-term debt)) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3364000000.0,easy,cash flow,CFO - Capex + Net Borrowing; Net Borrowing = delta(Short-Term Debt + Long-Term Debt),"year,NetCashFromOperatingActivities,CapitalExpenses,ShortTermDebt,LongTermDebt
+2018,3770000000.0,528000000.0,2955000000.0,39523000000.0
+2019,9485000000.0,1050000000.0,5514000000.0,31893000000.0
+",
+US,fundamental,"What was Lamb Weston's Free Cash Flow to Equity in 2019? (Unit: $; Net Borrowing is approximated as the year-over-year change in (short-term debt + long-term debt)) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",289000000.0,easy,cash flow,CFO - Capex + Net Borrowing; Net Borrowing = delta(Short-Term Debt + Long-Term Debt),"year,NetCashFromOperatingActivities,CapitalExpenses,ShortTermDebt,LongTermDebt
+2018,481200000.0,306800000.0,9600000.0,2336700000.0
+2019,680900000.0,334200000.0,8400000.0,2280200000.0
+",
+US,fundamental,"In 2018, what was the Free Cash Flow to Equity reported by CBRE Group? (Unit: $; Net Borrowing is approximated as the year-over-year change in (short-term debt + long-term debt)) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",20188509000.0,easy,cash flow,CFO - Capex + Net Borrowing; Net Borrowing = delta(Short-Term Debt + Long-Term Debt),"year,NetCashFromOperatingActivities,CapitalExpenses,ShortTermDebt,LongTermDebt
+2017,18052756000.0,178042000.0,910782000.0,1999603000.0
+2018,20230676000.0,227803000.0,1328761000.0,1767260000.0
+",
+US,fundamental,"For CVS Health, what is the value of Free Cash Flow to Equity in 2021? (Unit: $; Net Borrowing is approximated as the year-over-year change in (short-term debt + long-term debt)) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",8509000000.0,easy,cash flow,CFO - Capex + Net Borrowing; Net Borrowing = delta(Short-Term Debt + Long-Term Debt),"year,NetCashFromOperatingActivities,CapitalExpenses,ShortTermDebt,LongTermDebt
+2020,15865000000.0,2437000000.0,0.0,59207000000.0
+2021,18265000000.0,2520000000.0,0.0,51971000000.0
+",
+US,fundamental,"Calculate the Free Cash Flow to Equity for PepsiCo in 2022. (Unit: $; Net Borrowing is approximated as the year-over-year change in (short-term debt + long-term debt)) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",4341000000.0,easy,cash flow,CFO - Capex + Net Borrowing; Net Borrowing = delta(Short-Term Debt + Long-Term Debt),"year,NetCashFromOperatingActivities,CapitalExpenses,ShortTermDebt,LongTermDebt
+2021,11616000000.0,4625000000.0,4308000000.0,36026000000.0
+2022,10811000000.0,5207000000.0,3414000000.0,35657000000.0
+",
+US,fundamental,"What is the Operating Cash Flow Margin of Amcor in 2025? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",9.2611,easy,cash flow,CFO / Revenue * 100%,"year,NetCashFromOperatingActivities,Revenue
+2025,1390000000.0,15009000000.0
+",
+US,fundamental,"What was Qualcomm's Operating Cash Flow Margin in 2023? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",31.5438,easy,cash flow,CFO / Revenue * 100%,"year,NetCashFromOperatingActivities,Revenue
+2023,11299000000.0,35820000000.0
+",
+US,fundamental,"In 2021, what was the Operating Cash Flow Margin reported by Crown Castle? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",43.9905,easy,cash flow,CFO / Revenue * 100%,"year,NetCashFromOperatingActivities,Revenue
+2021,2789000000.0,6340000000.0
+",
+US,fundamental,"For News Corp (Class B), what is the value of Operating Cash Flow Margin in 2020? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",8.659,easy,cash flow,CFO / Revenue * 100%,"year,NetCashFromOperatingActivities,Revenue
+2020,780000000.0,9008000000.0
+",
+US,fundamental,"Calculate the Operating Cash Flow Margin for Martin Marietta Materials in 2016. (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",17.7716,easy,cash flow,CFO / Revenue * 100%,"year,NetCashFromOperatingActivities,Revenue
+2016,678654000.0,3818749000.0
+",
+US,fundamental,"What is the Capex Intensity of Cencora in 2016? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.3164,easy,cash flow,Capex / Revenue * 100%,"year,CapitalExpenses,Revenue
+2016,464616000.0,146849686000.0
+",
+US,fundamental,"What was Revvity's Capex Intensity in 2022? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.5856,easy,cash flow,Capex / Revenue * 100%,"year,CapitalExpenses,Revenue
+2022,85632000.0,3311822000.0
+",
+US,fundamental,"In 2024, what was the Capex Intensity reported by Bunge Global? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.5909,easy,cash flow,Capex / Revenue * 100%,"year,CapitalExpenses,Revenue
+2024,1376000000.0,53108000000.0
+",
+US,fundamental,"For Ventas, what is the value of Capex Intensity in 2016? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.4109,easy,cash flow,Capex / Revenue * 100%,"year,CapitalExpenses,Revenue
+2016,117456000.0,3443522000.0
+",
+US,fundamental,"Calculate the Capex Intensity for Bio-Techne in 2022. (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",4.0619,easy,cash flow,Capex / Revenue * 100%,"year,CapitalExpenses,Revenue
+2022,44908000.0,1105599000.0
+",
+US,fundamental,"What is the Cash Flow to Net Income of Kraft Heinz in 2017? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0479,easy,cash flow,CFO / Net Income,"year,NetCashFromOperatingActivities,NetIncome
+2017,527000000.0,10999000000.0
+",
+US,fundamental,"What was CoStar Group's Cash Flow to Net Income in 2021? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.6056,easy,cash flow,CFO / Net Income,"year,NetCashFromOperatingActivities,NetIncome
+2021,469731000.0,292564000.0
+",
+US,fundamental,"In 2019, what was the Cash Flow to Net Income reported by Live Nation Entertainment? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",6.7218,easy,cash flow,CFO / Net Income,"year,NetCashFromOperatingActivities,NetIncome
+2019,469783000.0,69889000.0
+",
+US,fundamental,"For Ameriprise Financial, what is the value of Cash Flow to Net Income in 2022? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.7222,easy,cash flow,CFO / Net Income,"year,NetCashFromOperatingActivities,NetIncome
+2022,4407000000.0,2559000000.0
+",
+US,fundamental,"Calculate the Cash Flow to Net Income for Autodesk in 2022. According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.5164,easy,cash flow,CFO / Net Income,"year,NetCashFromOperatingActivities,NetIncome
+2022,2071000000.0,823000000.0
+",
+US,fundamental,"What is the Cash Flow to Debt of ServiceNow in 2016? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.3149,easy,cash flow,CFO / Total Debt; Total Debt = Short-Term Debt + Long-Term Debt,"year,NetCashFromOperatingActivities,ShortTermDebt,LongTermDebt
+2016,159921000.0,0.0,507812000.0
+",
+US,fundamental,"What was Baker Hughes's Cash Flow to Debt in 2020? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.1708,easy,cash flow,CFO / Total Debt; Total Debt = Short-Term Debt + Long-Term Debt,"year,NetCashFromOperatingActivities,ShortTermDebt,LongTermDebt
+2020,1304000000.0,889000000.0,6744000000.0
+",
+US,fundamental,"In 2023, what was the Cash Flow to Debt reported by Block? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0245,easy,cash flow,CFO / Total Debt; Total Debt = Short-Term Debt + Long-Term Debt,"year,NetCashFromOperatingActivities,ShortTermDebt,LongTermDebt
+2023,100961000.0,0.0,4120091000.0
+",
+US,fundamental,"For Axon Enterprise, what is the value of Cash Flow to Debt in 2022? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.3492,easy,cash flow,CFO / Total Debt; Total Debt = Short-Term Debt + Long-Term Debt,"year,NetCashFromOperatingActivities,ShortTermDebt,LongTermDebt
+2022,235361000.0,0.0,673967000.0
+",
+US,fundamental,"Calculate the Cash Flow to Debt for BNY Mellon in 2025. According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.1987,easy,cash flow,CFO / Total Debt; Total Debt = Short-Term Debt + Long-Term Debt,"year,NetCashFromOperatingActivities,ShortTermDebt,LongTermDebt
+2025,6730000000.0,2003000000.0,31873000000.0
+",
+US,fundamental,"What is the Earnings Per Share Basic of Targa Resources in 2022? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",5.1276,easy,per share,(Net Income - Preferred Dividends) / Weighted-Average Basic Shares,"year,NetIncome,SharesAverage,PreferredDividendExpense
+2022,1195500000.0,227300000.0,30000000.0
+",
+US,fundamental,"What was Prologis's Earnings Per Share Basic in 2017? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.103,easy,per share,(Net Income - Preferred Dividends) / Weighted-Average Basic Shares,"year,NetIncome,SharesAverage,PreferredDividendExpense
+2017,1652325000.0,530400000.0,6499000.0
+",
+US,fundamental,"In 2021, what was the Earnings Per Share Basic reported by Alliant Energy? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.6339,easy,per share,(Net Income - Preferred Dividends) / Weighted-Average Basic Shares,"year,NetIncome,SharesAverage,PreferredDividendExpense
+2021,674000000.0,250200000.0,15000000.0
+",
+US,fundamental,"For Progressive Corporation, what is the value of Earnings Per Share Basic in 2022? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.1886,easy,per share,(Net Income - Preferred Dividends) / Weighted-Average Basic Shares,"year,NetIncome,SharesAverage,PreferredDividendExpense
+2022,721500000.0,584400000.0,26900000.0
+",
+US,fundamental,"Calculate the Earnings Per Share Basic for Wells Fargo in 2022. According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.1712,easy,per share,(Net Income - Preferred Dividends) / Weighted-Average Basic Shares,"year,NetIncome,SharesAverage,PreferredDividendExpense
+2022,13182000000.0,3805200000.0,1115000000.0
+",
+US,fundamental,"What is the Earnings Per Share Diluted of Fifth Third Bancorp in 2025? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.5331,easy,per share,(Net Income - Preferred Dividends) / Weighted-Average Diluted Shares,"year,NetIncome,SharesFullyDilutedAverage,PreferredDividendExpense
+2025,2522000000.0,672502856.0,146000000.0
+",
+US,fundamental,"What was Williams Companies's Earnings Per Share Diluted in 2022? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.6734,easy,per share,(Net Income - Preferred Dividends) / Weighted-Average Diluted Shares,"year,NetIncome,SharesFullyDilutedAverage,PreferredDividendExpense
+2022,2049000000.0,1222672000.0,3000000.0
+",
+US,fundamental,"In 2016, what was the Earnings Per Share Diluted reported by Prologis? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.201,easy,per share,(Net Income - Preferred Dividends) / Weighted-Average Diluted Shares,"year,NetIncome,SharesFullyDilutedAverage,PreferredDividendExpense
+2016,1209932000.0,546666000.0,6714000.0
+",
+US,fundamental,"For Charles Schwab Corporation, what is the value of Earnings Per Share Diluted in 2018? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.446,easy,per share,(Net Income - Preferred Dividends) / Weighted-Average Diluted Shares,"year,NetIncome,SharesFullyDilutedAverage,PreferredDividendExpense
+2018,3507000000.0,1361000000.0,178000000.0
+",
+US,fundamental,"Calculate the Earnings Per Share Diluted for Ameren in 2016. According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.6582,easy,per share,(Net Income - Preferred Dividends) / Weighted-Average Diluted Shares,"year,NetIncome,SharesFullyDilutedAverage,PreferredDividendExpense
+2016,653000000.0,243400000.0,6000000.0
+",
+US,fundamental,"What is the Operating Cash Flow Per Share of Trimble Inc. in 2025? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.6145,easy,per share,CFO / Weighted-Average Basic Shares,"year,NetCashFromOperatingActivities,SharesAverage
+2025,386200000.0,239200000.0
+",
+US,fundamental,"What was Chipotle Mexican Grill's Operating Cash Flow Per Share in 2024? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.5384,easy,per share,CFO / Weighted-Average Basic Shares,"year,NetCashFromOperatingActivities,SharesAverage
+2024,2105076000.0,1368343000.0
+",
+US,fundamental,"In 2018, what was the Operating Cash Flow Per Share reported by Target Corporation? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",11.294,easy,per share,CFO / Weighted-Average Basic Shares,"year,NetCashFromOperatingActivities,SharesAverage
+2018,5970000000.0,528600000.0
+",
+US,fundamental,"For Accenture, what is the value of Operating Cash Flow Per Share in 2017? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",8.0197,easy,per share,CFO / Weighted-Average Basic Shares,"year,NetCashFromOperatingActivities,SharesAverage
+2017,4973039000.0,620104250.0
+",
+US,fundamental,"Calculate the Operating Cash Flow Per Share for Ecolab in 2020. According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",6.4815,easy,per share,CFO / Weighted-Average Basic Shares,"year,NetCashFromOperatingActivities,SharesAverage
+2020,1860200000.0,287000000.0
+",
+US,fundamental,"What is the Equity Multiplier of Public Storage in 2017? (Use the average of beginning and ending values) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.1368,easy,solvency,Average Total Assets / Average Stockholders Equity,"year,Assets,AllEquityBalance
+2016,10130338000.0,9411910000.0
+2017,10732892000.0,8940009000.0
+",
+US,fundamental,"What was Lockheed Martin's Equity Multiplier in 2020? (Use the average of beginning and ending values) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",10.7458,easy,solvency,Average Total Assets / Average Stockholders Equity,"year,Assets,AllEquityBalance
+2019,47528000000.0,3127000000.0
+2020,50710000000.0,6015000000.0
+",
+US,fundamental,"In 2020, what was the Equity Multiplier reported by American Water Works? (Use the average of beginning and ending values) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.7732,easy,solvency,Average Total Assets / Average Stockholders Equity,"year,Assets,AllEquityBalance
+2019,22682000000.0,6121000000.0
+2020,24766000000.0,6454000000.0
+",
+US,fundamental,"For Tyler Technologies, what is the value of Equity Multiplier in 2019? (Use the average of beginning and ending values) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.3537,easy,solvency,Average Total Assets / Average Stockholders Equity,"year,Assets,AllEquityBalance
+2018,1790963000.0,1324846000.0
+2019,2191614000.0,1617058000.0
+",
+US,fundamental,"Calculate the Equity Multiplier for Insulet Corporation in 2020. (Use the average of beginning and ending values) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",4.4383,easy,solvency,Average Total Assets / Average Stockholders Equity,"year,Assets,AllEquityBalance
+2019,1142900000.0,75900000.0
+2020,1872900000.0,603600000.0
+",
+US,fundamental,"What is the EBITDA of Xylem Inc. in 2023? (Unit: $; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",897000000.0,easy,valuation,EBITDA = EBIT + D&A = Pretax Income + Interest Expense + D&A,"year,PretaxIncomeLoss,InterestExpense,Depreciation & Amortization
+2023,635000000.0,69000000.0,193000000.0
+",
+US,fundamental,"What was PNC Financial Services's EBITDA in 2019? (Unit: $; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",11592000000.0,easy,valuation,EBITDA = EBIT + D&A = Pretax Income + Interest Expense + D&A,"year,PretaxIncomeLoss,InterestExpense,Depreciation & Amortization
+2019,6480000000.0,3797000000.0,1315000000.0
+",
+US,fundamental,"In 2017, what was the EBITDA reported by Coca-Cola Company (The)? (Unit: $; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",8843000000.0,easy,valuation,EBITDA = EBIT + D&A = Pretax Income + Interest Expense + D&A,"year,PretaxIncomeLoss,InterestExpense,Depreciation & Amortization
+2017,6742000000.0,841000000.0,1260000000.0
+",
+US,fundamental,"For Weyerhaeuser, what is the value of EBITDA in 2022? (Unit: $; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3055000000.0,easy,valuation,EBITDA = EBIT + D&A = Pretax Income + Interest Expense + D&A,"year,PretaxIncomeLoss,InterestExpense,Depreciation & Amortization
+2022,2305000000.0,270000000.0,480000000.0
+",
+US,fundamental,"Calculate the EBITDA for Moody's Corporation in 2019. (Unit: $; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2218000000.0,easy,valuation,EBITDA = EBIT + D&A = Pretax Income + Interest Expense + D&A,"year,PretaxIncomeLoss,InterestExpense,Depreciation & Amortization
+2019,1810000000.0,208000000.0,200000000.0
+",
+US,fundamental,"What is the NOPAT of Dominion Energy in 2016? (Unit: $; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2991253575.1657,easy,valuation,NOPAT = EBIT x (1 - effective tax rate); EBIT = Pretax Income + Interest Expense; effective tax rate = Income Taxes / Pretax Income,"year,PretaxIncomeLoss,InterestExpense,IncomeTaxes
+2016,2867000000.0,1010000000.0,655000000.0
+",
+US,fundamental,"What was Hormel Foods's NOPAT in 2017? (Unit: $; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",855505494.3194,easy,valuation,NOPAT = EBIT x (1 - effective tax rate); EBIT = Pretax Income + Interest Expense; effective tax rate = Income Taxes / Pretax Income,"year,PretaxIncomeLoss,InterestExpense,IncomeTaxes
+2017,1278645000.0,12683000.0,431542000.0
+",
+US,fundamental,"In 2024, what was the NOPAT reported by APA Corporation? (Unit: $; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",544147231.2704,easy,valuation,NOPAT = EBIT x (1 - effective tax rate); EBIT = Pretax Income + Interest Expense; effective tax rate = Income Taxes / Pretax Income,"year,PretaxIncomeLoss,InterestExpense,IncomeTaxes
+2024,1535000000.0,372000000.0,1097000000.0
+",
+US,fundamental,"For Jabil, what is the value of NOPAT in 2022? (Unit: $; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1117364744.1105,easy,valuation,NOPAT = EBIT x (1 - effective tax rate); EBIT = Pretax Income + Interest Expense; effective tax rate = Income Taxes / Pretax Income,"year,PretaxIncomeLoss,InterestExpense,IncomeTaxes
+2022,1231000000.0,150000000.0,235000000.0
+",
+US,fundamental,"Calculate the NOPAT for Rollins in 2020. (Unit: $; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",277434844.2039,easy,valuation,NOPAT = EBIT x (1 - effective tax rate); EBIT = Pretax Income + Interest Expense; effective tax rate = Income Taxes / Pretax Income,"year,PretaxIncomeLoss,InterestExpense,IncomeTaxes
+2020,354720000.0,5056000.0,81184000.0
+",
+US,fundamental,"Comparing the maximum of Gross Margin from 2021 to 2023, what is the ratio of CenterPoint Energy to Healthpeak Properties? (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.1754,hard,profitability,(Revenue - COGS) / Revenue * 100%,"corporate,year,Revenue,CostOfGoodsAndServicesSold
+CenterPoint Energy,2021,8352000000.0,2810000000.0
+CenterPoint Energy,2022,9321000000.0,2833000000.0
+CenterPoint Energy,2023,8696000000.0,2850000000.0
+Healthpeak Properties,2021,1896184000.0,773279000.0
+Healthpeak Properties,2022,2061178000.0,862991000.0
+Healthpeak Properties,2023,2181003000.0,902060000.0
+","corporate,year,Gross Margin
+CenterPoint Energy,2021,66.35536398467433
+CenterPoint Energy,2022,69.60626542216501
+CenterPoint Energy,2023,67.2263109475621
+Healthpeak Properties,2021,59.21920024638959
+Healthpeak Properties,2022,58.13117547344285
+Healthpeak Properties,2023,58.640130251998734
+"
+US,fundamental,"What is the ratio of Amgen to NiSource in terms of the average of Gross Margin from 2023 to 2025? (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.8812,hard,profitability,(Revenue - COGS) / Revenue * 100%,"corporate,year,Revenue,CostOfGoodsAndServicesSold
+Amgen,2023,28190000000.0,8451000000.0
+Amgen,2024,33424000000.0,12858000000.0
+Amgen,2025,36751000000.0,12037000000.0
+NiSource,2023,5347800000.0,1533300000.0
+NiSource,2024,5282900000.0,1132200000.0
+NiSource,2025,6522800000.0,1584400000.0
+","corporate,year,Gross Margin
+Amgen,2023,70.02128414331324
+Amgen,2024,61.53063666826233
+Amgen,2025,67.2471497374221
+NiSource,2023,71.32839672388646
+NiSource,2024,78.56858922182892
+NiSource,2025,75.70981786962653
+"
+US,fundamental,"From 2018 to 2022, how does the maximum of Gross Margin for Hershey Company (The) compare to AT&T as a ratio? (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.5684,hard,profitability,(Revenue - COGS) / Revenue * 100%,"corporate,year,Revenue,CostOfGoodsAndServicesSold
+Hershey Company (The),2018,7791069000.0,4215744000.0
+Hershey Company (The),2019,7986252000.0,4363774000.0
+Hershey Company (The),2020,8149719000.0,4448450000.0
+Hershey Company (The),2021,8971337000.0,4922739000.0
+Hershey Company (The),2022,10419294000.0,5920509000.0
+AT&T,2018,170756000000.0,32906000000.0
+AT&T,2019,181193000000.0,49785000000.0
+AT&T,2020,171760000000.0,47011000000.0
+AT&T,2021,168864000000.0,48575000000.0
+AT&T,2022,120741000000.0,24009000000.0
+","corporate,year,Gross Margin
+AT&T,2018,80.72922766989154
+AT&T,2019,72.52377299343794
+AT&T,2020,72.62983232417326
+AT&T,2021,71.23424767860527
+AT&T,2022,80.11528809600715
+Hershey Company (The),2018,45.89004410049506
+Hershey Company (The),2019,45.35892431142919
+Hershey Company (The),2020,45.41590943196937
+Hershey Company (The),2021,45.12814533664269
+Hershey Company (The),2022,43.17744561195797
+"
+US,fundamental,"Over 2021-2023, what is the ratio of Tesla to Nvidia for the maximum of Gross Margin? (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0131,hard,profitability,(Revenue - COGS) / Revenue * 100%,"corporate,year,Revenue,CostOfGoodsAndServicesSold
+Tesla,2021,152726000000.0,40217000000.0
+Tesla,2022,90929000000.0,60609000000.0
+Tesla,2023,96773000000.0,79113000000.0
+Nvidia,2021,26914000000.0,9439000000.0
+Nvidia,2022,26974000000.0,11618000000.0
+Nvidia,2023,60922000000.0,16621000000.0
+","corporate,year,Gross Margin
+Nvidia,2021,64.92903321691314
+Nvidia,2022,56.928894490991325
+Nvidia,2023,72.71757329043696
+Tesla,2021,73.66722103636579
+Tesla,2022,33.34469751124504
+Tesla,2023,18.248891736331416
+"
+US,fundamental,"Calculate the maximum of Gross Margin for Bio-Techne and General Motors separately from 2021 to 2025, and compute the ratio of Bio-Techne to General Motors. (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.2843,hard,profitability,(Revenue - COGS) / Revenue * 100%,"corporate,year,Revenue,CostOfGoodsAndServicesSold
+Bio-Techne,2021,931032000.0,298182000.0
+Bio-Techne,2022,1105599000.0,349103000.0
+Bio-Techne,2023,1136702000.0,366887000.0
+Bio-Techne,2024,1159060000.0,389335000.0
+Bio-Techne,2025,1219635000.0,429363000.0
+General Motors,2021,127004000000.0,100544000000.0
+General Motors,2022,156735000000.0,126892000000.0
+General Motors,2023,171842000000.0,141330000000.0
+General Motors,2024,187442000000.0,151065000000.0
+General Motors,2025,185019000000.0,159128000000.0
+","corporate,year,Gross Margin
+Bio-Techne,2021,67.97295903900188
+Bio-Techne,2022,68.42408504349225
+Bio-Techne,2023,67.72355463437208
+Bio-Techne,2024,66.40941797663625
+Bio-Techne,2025,64.79577906504815
+General Motors,2021,20.833989480646277
+General Motors,2022,19.040418540849206
+General Motors,2023,17.755845485969672
+General Motors,2024,19.407069920295346
+General Motors,2025,13.993697944535427
+"
+US,fundamental,"Comparing the minimum of EBIT Margin from 2018 to 2022, what is the ratio of Idexx Laboratories to Eaton Corporation? (Indicator unit: %; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.2759,hard,profitability,EBIT / Revenue * 100% = (Pretax Income + Interest Expense) / Revenue * 100%,"corporate,year,Revenue,PretaxIncomeLoss,InterestExpense
+Idexx Laboratories,2018,2213242000.0,457742000.0,34744000.0
+Idexx Laboratories,2019,2406908000.0,522218000.0,31055000.0
+Idexx Laboratories,2020,2706655000.0,661985000.0,33125000.0
+Idexx Laboratories,2021,3215360000.0,902654000.0,29808000.0
+Idexx Laboratories,2022,3367324000.0,859972000.0,39858000.0
+Eaton Corporation,2018,21609000000.0,2424000000.0,0.0
+Eaton Corporation,2019,21390000000.0,2591000000.0,0.0
+Eaton Corporation,2020,17858000000.0,1746000000.0,0.0
+Eaton Corporation,2021,19628000000.0,2896000000.0,0.0
+Eaton Corporation,2022,20752000000.0,2911000000.0,0.0
+","corporate,year,EBIT Margin
+Eaton Corporation,2018,11.217548243787311
+Eaton Corporation,2019,12.113136979897149
+Eaton Corporation,2020,9.77713069772651
+Eaton Corporation,2021,14.754432443448135
+Eaton Corporation,2022,14.02756360832691
+Idexx Laboratories,2018,22.25179171550151
+Idexx Laboratories,2019,22.98687777015158
+Idexx Laboratories,2020,25.681514637070478
+Idexx Laboratories,2021,29.000236365445858
+Idexx Laboratories,2022,26.722406278694894
+"
+US,fundamental,"What is the ratio of Microchip Technology to UDR in terms of the maximum of EBIT Margin from 2017 to 2021? (Indicator unit: %; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.7491,hard,profitability,EBIT / Revenue * 100% = (Pretax Income + Interest Expense) / Revenue * 100%,"corporate,year,Revenue,PretaxIncomeLoss,InterestExpense
+Microchip Technology,2017,3980800000.0,737300000.0,199000000.0
+Microchip Technology,2018,5349500000.0,204500000.0,502900000.0
+Microchip Technology,2019,5274200000.0,150400000.0,497300000.0
+Microchip Technology,2020,5438400000.0,339500000.0,356900000.0
+Microchip Technology,2021,6820900000.0,1482500000.0,257000000.0
+UDR,2017,984309000.0,89011000.0,128711000.0
+UDR,2018,1046859000.0,222230000.0,134168000.0
+UDR,2019,1152193000.0,203417000.0,170917000.0
+UDR,2020,1241165000.0,71515000.0,202706000.0
+UDR,2021,1290767000.0,162432000.0,186267000.0
+","corporate,year,EBIT Margin
+Microchip Technology,2017,23.520397909967848
+Microchip Technology,2018,13.223665763155434
+Microchip Technology,2019,12.2805354366539
+Microchip Technology,2020,12.805236834363049
+Microchip Technology,2021,25.502499670131506
+UDR,2017,22.11927352081511
+UDR,2018,34.04450838174004
+UDR,2019,32.48882782658808
+UDR,2020,22.09383925586042
+UDR,2021,27.014867904122124
+"
+US,fundamental,"From 2023 to 2025, how does the minimum of EBIT Margin for Datadog compare to Tractor Supply as a ratio? (Indicator unit: %; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.3161,hard,profitability,EBIT / Revenue * 100% = (Pretax Income + Interest Expense) / Revenue * 100%,"corporate,year,Revenue,PretaxIncomeLoss,InterestExpense
+Datadog,2023,2128359000.0,60235000.0,3388000.0
+Datadog,2024,2684275000.0,203940000.0,3761000.0
+Datadog,2025,3427158000.0,127021000.0,5602000.0
+Tractor Supply,2023,14555741000.0,1432402000.0,56315000.0
+Tractor Supply,2024,14883231000.0,1412940000.0,65865000.0
+Tractor Supply,2025,15524046000.0,1398245000.0,69757000.0
+","corporate,year,EBIT Margin
+Datadog,2023,2.9892983279606495
+Datadog,2024,7.737694535768504
+Datadog,2025,3.8697661444263733
+Tractor Supply,2023,10.227696412020522
+Tractor Supply,2024,9.936048160510309
+Tractor Supply,2025,9.456310552030057
+"
+US,fundamental,"Over 2016-2018, what is the ratio of Avery Dennison to Coca-Cola Company (The) for the minimum of EBIT Margin? (Indicator unit: %; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.4044,hard,profitability,EBIT / Revenue * 100% = (Pretax Income + Interest Expense) / Revenue * 100%,"corporate,year,Revenue,PretaxIncomeLoss,InterestExpense
+Avery Dennison,2016,6086500000.0,477100000.0,59900000.0
+Avery Dennison,2017,6613800000.0,589500000.0,63000000.0
+Avery Dennison,2018,7159000000.0,554800000.0,58500000.0
+Coca-Cola Company (The),2016,41863000000.0,8136000000.0,733000000.0
+Coca-Cola Company (The),2017,35410000000.0,6742000000.0,841000000.0
+Coca-Cola Company (The),2018,31856000000.0,8350000000.0,919000000.0
+","corporate,year,EBIT Margin
+Avery Dennison,2016,8.822804567485418
+Avery Dennison,2017,9.865735280776558
+Avery Dennison,2018,8.56683894398659
+Coca-Cola Company (The),2016,21.18577263932351
+Coca-Cola Company (The),2017,21.414854560858515
+Coca-Cola Company (The),2018,29.096559517830233
+"
+US,fundamental,"Calculate the minimum of EBIT Margin for Campbell's Company (The) and Regeneron Pharmaceuticals separately from 2021 to 2025, and compute the ratio of Campbell's Company (The) to Regeneron Pharmaceuticals. (Indicator unit: %; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.3205,hard,profitability,EBIT / Revenue * 100% = (Pretax Income + Interest Expense) / Revenue * 100%,"corporate,year,Revenue,PretaxIncomeLoss,InterestExpense
+Campbell's Company (The),2021,8476000000.0,1336000000.0,210000000.0
+Campbell's Company (The),2022,8562000000.0,975000000.0,189000000.0
+Campbell's Company (The),2023,9357000000.0,1128000000.0,188000000.0
+Campbell's Company (The),2024,9636000000.0,757000000.0,249000000.0
+Campbell's Company (The),2025,10253000000.0,796000000.0,345000000.0
+Regeneron Pharmaceuticals,2021,16071700000.0,9325800000.0,57300000.0
+Regeneron Pharmaceuticals,2022,12172900000.0,4858800000.0,59400000.0
+Regeneron Pharmaceuticals,2023,13117200000.0,4199300000.0,73000000.0
+Regeneron Pharmaceuticals,2024,14202000000.0,4779900000.0,55200000.0
+Regeneron Pharmaceuticals,2025,14342900000.0,5230700000.0,43800000.0
+","corporate,year,EBIT Margin
+Campbell's Company (The),2021,18.2397357243983
+Campbell's Company (The),2022,13.594954449894884
+Campbell's Company (The),2023,14.064336860104735
+Campbell's Company (The),2024,10.440016604400167
+Campbell's Company (The),2025,11.128450209694723
+Regeneron Pharmaceuticals,2021,58.38274731360092
+Regeneron Pharmaceuticals,2022,40.40286209531007
+Regeneron Pharmaceuticals,2023,32.57021315524655
+Regeneron Pharmaceuticals,2024,34.045204900718204
+Regeneron Pharmaceuticals,2025,36.7742925070941
+"
+US,fundamental,"Comparing the average of EBITDA Margin from 2019 to 2023, what is the ratio of Consolidated Edison to ResMed? (Indicator unit: %;  Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0893,hard,profitability,(Pretax Income + Interest Expense + D&A) / Revenue * 100%,"corporate,year,Revenue,PretaxIncomeLoss,InterestExpense,DepreciationExpense,AmortizationOfIntangibles
+Consolidated Edison,2019,12574000000.0,1736000000.0,991000000.0,1684000000.0,0.0
+Consolidated Edison,2020,12246000000.0,1234000000.0,1019000000.0,1920000000.0,0.0
+Consolidated Edison,2021,13676000000.0,1383000000.0,905000000.0,2032000000.0,0.0
+Consolidated Edison,2022,15670000000.0,2098000000.0,852000000.0,2056000000.0,0.0
+Consolidated Edison,2023,14663000000.0,3003000000.0,1023000000.0,2031000000.0,0.0
+ResMed,2019,2606572000.0,518847000.0,36156000.0,150795000.0,0.0
+ResMed,2020,2957013000.0,733088000.0,40377000.0,154850000.0,49603000.0
+ResMed,2021,3196825000.0,883662000.0,23989000.0,156758000.0,45127000.0
+ResMed,2022,3578127000.0,960483000.0,22312000.0,159609000.0,39650000.0
+ResMed,2023,4222993000.0,1101664000.0,47379000.0,165156000.0,30396000.0
+","corporate,year,EBITDA Margin
+Consolidated Edison,2019,35.08032447908383
+Consolidated Edison,2020,34.07643312101911
+Consolidated Edison,2021,31.58818367943843
+Consolidated Edison,2022,31.946394384173583
+Consolidated Edison,2023,41.30805428629885
+ResMed,2019,27.077632998436265
+ResMed,2020,33.0711430757998
+ResMed,2021,34.707436284438465
+ResMed,2022,33.035551840390234
+ResMed,2023,31.839858602654562
+"
+US,fundamental,"What is the ratio of Tyson Foods to C.H. Robinson in terms of the minimum of EBITDA Margin from 2018 to 2022? (Indicator unit: %;  Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.8245,hard,profitability,(Pretax Income + Interest Expense + D&A) / Revenue * 100%,"corporate,year,Revenue,PretaxIncomeLoss,InterestExpense,Depreciation & Amortization
+Tyson Foods,2018,40052000000.0,2745000000.0,350000000.0,723000000.0
+Tyson Foods,2019,42405000000.0,2431000000.0,462000000.0,819000000.0
+Tyson Foods,2020,43185000000.0,2770000000.0,485000000.0,900000000.0
+Tyson Foods,2021,47049000000.0,4041000000.0,428000000.0,934000000.0
+Tyson Foods,2022,53282000000.0,4149000000.0,365000000.0,945000000.0
+C.H. Robinson,2018,16631172000.0,880273000.0,47544000.0,96729000.0
+C.H. Robinson,2019,15309508000.0,742257000.0,50854000.0,100449000.0
+C.H. Robinson,2020,16207106000.0,628331000.0,47518000.0,101727000.0
+C.H. Robinson,2021,23102138000.0,1022291000.0,51367000.0,91259000.0
+C.H. Robinson,2022,24696625000.0,1166765000.0,71563000.0,92776000.0
+","corporate,year,EBITDA Margin
+C.H. Robinson,2018,6.160395671453581
+C.H. Robinson,2019,5.836634332076511
+C.H. Robinson,2020,4.797747358473499
+C.H. Robinson,2021,5.042464035146877
+C.H. Robinson,2022,5.389821483704757
+Tyson Foods,2018,9.532607610106862
+Tyson Foods,2019,8.7536847069921
+Tyson Foods,2020,9.62139631816603
+Tyson Foods,2021,11.483772237454568
+Tyson Foods,2022,10.245486280545023
+"
+US,fundamental,"From 2019 to 2021, how does the maximum of EBITDA Margin for AutoZone compare to F5 as a ratio? (Indicator unit: %;  Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.8429,hard,profitability,(Pretax Income + Interest Expense + D&A) / Revenue * 100%,"corporate,year,Revenue,PretaxIncomeLoss,InterestExpense,Depreciation & Amortization
+AutoZone,2019,11863743000.0,2031333000.0,184804000.0,369957000.0
+AutoZone,2020,12631967000.0,2216514000.0,201165000.0,397466000.0
+AutoZone,2021,14629585000.0,2749190000.0,195337000.0,407683000.0
+F5,2019,2242447000.0,541111000.0,0.0,68507000.0
+F5,2020,2350822000.0,396397000.0,6568000.0,95857000.0
+F5,2021,2603416000.0,386937000.0,5280000.0,115424000.0
+","corporate,year,EBITDA Margin
+AutoZone,2019,21.79829755246721
+AutoZone,2020,22.28587994252993
+AutoZone,2021,22.913910408258335
+F5,2019,27.185391672579108
+F5,2020,21.219045933720203
+F5,2021,19.49903511386578
+"
+US,fundamental,"Over 2018-2022, what is the ratio of Revvity to Microchip Technology for the maximum of EBITDA Margin? (Indicator unit: %;  Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.7289,hard,profitability,(Pretax Income + Interest Expense + D&A) / Revenue * 100%,"corporate,year,Revenue,PretaxIncomeLoss,InterestExpense,DepreciationExpense,AmortizationOfIntangibles
+Revvity,2018,2777996000.0,257683000.0,56451000.0,180588000.0,0.0
+Revvity,2019,2883673000.0,237142000.0,82693000.0,214025000.0,0.0
+Revvity,2020,3782745000.0,906364000.0,42142000.0,246507000.0,0.0
+Revvity,2021,5067169000.0,1279886000.0,54120000.0,358004000.0,0.0
+Revvity,2022,3311822000.0,651837000.0,97934000.0,427000000.0,0.0
+Microchip Technology,2018,5349500000.0,204500000.0,502900000.0,876400000.0,3100000.0
+Microchip Technology,2019,5274200000.0,150400000.0,497300000.0,1215600000.0,2200000.0
+Microchip Technology,2020,5438400000.0,339500000.0,356900000.0,1153300000.0,0.0
+Microchip Technology,2021,6820900000.0,1482500000.0,257000000.0,1143500000.0,3000000.0
+Microchip Technology,2022,8438700000.0,2909700000.0,203900000.0,998400000.0,1800000.0
+","corporate,year,EBITDA Margin
+Microchip Technology,2018,29.664454621927284
+Microchip Technology,2019,35.3702931250237
+Microchip Technology,2020,34.0118417181524
+Microchip Technology,2021,42.31113196205779
+Microchip Technology,2022,48.74921492646972
+Revvity,2018,17.808592956937304
+Revvity,2019,18.51319480398783
+Revvity,2020,31.591159330063224
+Revvity,2021,33.391623606791086
+Revvity,2022,35.532435016133114
+"
+US,fundamental,"Calculate the minimum of EBITDA Margin for 3M and Las Vegas Sands separately from 2016 to 2018, and compute the ratio of 3M to Las Vegas Sands. (Indicator unit: %;  Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.812,hard,profitability,(Pretax Income + Interest Expense + D&A) / Revenue * 100%,"corporate,year,Revenue,PretaxIncomeLoss,InterestExpense,Depreciation & Amortization
+3M,2016,30109000000.0,7053000000.0,199000000.0,1474000000.0
+3M,2017,31657000000.0,7548000000.0,0.0,1544000000.0
+3M,2018,32765000000.0,7000000000.0,0.0,1488000000.0
+Las Vegas Sands,2016,11410000000.0,2255000000.0,274000000.0,1111000000.0
+Las Vegas Sands,2017,12882000000.0,3052000000.0,327000000.0,1171000000.0
+Las Vegas Sands,2018,13729000000.0,3326000000.0,446000000.0,1111000000.0
+","corporate,year,EBITDA Margin
+3M,2016,28.981367697366235
+3M,2017,28.720346210948605
+3M,2018,25.905692049443
+Las Vegas Sands,2016,31.901840490797547
+Las Vegas Sands,2017,35.32060239093309
+Las Vegas Sands,2018,35.567047854905674
+"
+US,fundamental,"Comparing the average of Net Profit Margin from 2018 to 2022, what is the ratio of Lockheed Martin to NVR? (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.7418,hard,profitability,Net Income / Revenue * 100%,"corporate,year,Revenue,NetIncome
+Lockheed Martin,2018,53762000000.0,5046000000.0
+Lockheed Martin,2019,59812000000.0,6230000000.0
+Lockheed Martin,2020,65398000000.0,6833000000.0
+Lockheed Martin,2021,67044000000.0,6315000000.0
+Lockheed Martin,2022,65984000000.0,5732000000.0
+NVR,2018,7163674000.0,797197000.0
+NVR,2019,7388664000.0,878539000.0
+NVR,2020,7536923000.0,901248000.0
+NVR,2021,8951025000.0,1236719000.0
+NVR,2022,10526434000.0,1725575000.0
+","corporate,year,Net Profit Margin
+Lockheed Martin,2018,9.385811539749266
+Lockheed Martin,2019,10.415970039456965
+Lockheed Martin,2020,10.448331753264625
+Lockheed Martin,2021,9.41918739931985
+Lockheed Martin,2022,8.686954413191076
+NVR,2018,11.128326051688003
+NVR,2019,11.890363399932653
+NVR,2020,11.957771095711074
+NVR,2021,13.816507048075499
+NVR,2022,16.392778409098465
+"
+US,fundamental,"What is the ratio of Abbott Laboratories to Travelers Companies (The) in terms of the maximum of Net Profit Margin from 2018 to 2020? (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.5402,hard,profitability,Net Income / Revenue * 100%,"corporate,year,Revenue,NetIncome
+Abbott Laboratories,2018,30578000000.0,2368000000.0
+Abbott Laboratories,2019,31904000000.0,3687000000.0
+Abbott Laboratories,2020,34608000000.0,4495000000.0
+Travelers Companies (The),2018,30282000000.0,2523000000.0
+Travelers Companies (The),2019,31581000000.0,2622000000.0
+Travelers Companies (The),2020,31981000000.0,2697000000.0
+","corporate,year,Net Profit Margin
+Abbott Laboratories,2018,7.744129766498791
+Abbott Laboratories,2019,11.556544633901705
+Abbott Laboratories,2020,12.988326398520572
+Travelers Companies (The),2018,8.331682187438082
+Travelers Companies (The),2019,8.302460340077895
+Travelers Companies (The),2020,8.43313217222726
+"
+US,fundamental,"From 2017 to 2019, how does the maximum of Net Profit Margin for Willis Towers Watson compare to DuPont as a ratio? (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.5833,hard,profitability,Net Income / Revenue * 100%,"corporate,year,Revenue,NetIncome
+Willis Towers Watson,2017,8202000000.0,568000000.0
+Willis Towers Watson,2018,8513000000.0,695000000.0
+Willis Towers Watson,2019,9039000000.0,1044000000.0
+DuPont,2017,62484000000.0,1460000000.0
+DuPont,2018,85977000000.0,3844000000.0
+DuPont,2019,21512000000.0,498000000.0
+","corporate,year,Net Profit Margin
+DuPont,2017,2.336598169131298
+DuPont,2018,4.4709631645672685
+DuPont,2019,2.314986984008925
+Willis Towers Watson,2017,6.925140209704949
+Willis Towers Watson,2018,8.16398449430283
+Willis Towers Watson,2019,11.549950215731828
+"
+US,fundamental,"Over 2019-2021, what is the ratio of Salesforce to Microsoft for the maximum of Net Profit Margin? (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.5256,hard,profitability,Net Income / Revenue * 100%,"corporate,year,Revenue,NetIncome
+Salesforce,2019,17098000000.0,126000000.0
+Salesforce,2020,21252000000.0,4072000000.0
+Salesforce,2021,26492000000.0,1444000000.0
+Microsoft,2019,125843000000.0,39240000000.0
+Microsoft,2020,143015000000.0,44281000000.0
+Microsoft,2021,168088000000.0,61271000000.0
+","corporate,year,Net Profit Margin
+Microsoft,2019,31.181710544090652
+Microsoft,2020,30.962486452470024
+Microsoft,2021,36.451739564989765
+Salesforce,2019,0.7369282957071003
+Salesforce,2020,19.160549595332206
+Salesforce,2021,5.450702098746792
+"
+US,fundamental,"Calculate the average of Net Profit Margin for Leidos and Nike separately from 2017 to 2019, and compute the ratio of Leidos to Nike. (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.5477,hard,profitability,Net Income / Revenue * 100%,"corporate,year,Revenue,NetIncome
+Leidos,2017,10170000000.0,366000000.0
+Leidos,2018,10194000000.0,581000000.0
+Leidos,2019,11094000000.0,667000000.0
+Nike,2017,34350000000.0,4240000000.0
+Nike,2018,36397000000.0,1933000000.0
+Nike,2019,39117000000.0,4029000000.0
+","corporate,year,Net Profit Margin
+Leidos,2017,3.5988200589970503
+Leidos,2018,5.699431037865411
+Leidos,2019,6.012258878673157
+Nike,2017,12.343522561863175
+Nike,2018,5.310877270104679
+Nike,2019,10.29986962190352
+"
+US,fundamental,"Comparing the average of Return on Equity from 2022 to 2024, what is the ratio of Eaton Corporation to Mosaic Company (The)? (Indicator unit: %; Use the average of beginning and ending stockholders’ equity) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.2371,hard,profitability,Net Income / Average Stockholders Equity * 100%,"corporate,year,NetIncome,AllEquityBalance
+Eaton Corporation,2021,2144000000.0,16413000000.0
+Eaton Corporation,2022,2462000000.0,17038000000.0
+Eaton Corporation,2023,3218000000.0,19036000000.0
+Eaton Corporation,2024,3794000000.0,18488000000.0
+Mosaic Company (The),2021,1630600000.0,10604100000.0
+Mosaic Company (The),2022,3582800000.0,12054600000.0
+Mosaic Company (The),2023,1164900000.0,12290200000.0
+Mosaic Company (The),2024,174900000.0,11482400000.0
+","corporate,year,Return on Equity
+Eaton Corporation,2022,14.720038264924815
+Eaton Corporation,2023,17.84110439651827
+Eaton Corporation,2024,20.221724762818464
+Mosaic Company (The),2022,31.62405610207117
+Mosaic Company (The),2023,9.570010844204923
+Mosaic Company (The),2024,1.4714419121173117
+"
+US,fundamental,"What is the ratio of IQVIA to Mettler Toledo in terms of the maximum of Return on Equity from 2019 to 2021? (Indicator unit: %; Use the average of beginning and ending stockholders’ equity) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0474,hard,profitability,Net Income / Average Stockholders Equity * 100%,"corporate,year,NetIncome,AllEquityBalance
+IQVIA,2018,259000000.0,6714000000.0
+IQVIA,2019,191000000.0,6003000000.0
+IQVIA,2020,279000000.0,6001000000.0
+IQVIA,2021,966000000.0,6042000000.0
+Mettler Toledo,2018,512611000.0,590063000.0
+Mettler Toledo,2019,561109000.0,420780000.0
+Mettler Toledo,2020,602739000.0,282675000.0
+Mettler Toledo,2021,768985000.0,171421000.0
+","corporate,year,Return on Equity
+IQVIA,2019,3.0038531100102226
+IQVIA,2020,4.648450516494502
+IQVIA,2021,16.042514323673505
+Mettler Toledo,2019,111.01803148461235
+Mettler Toledo,2020,171.3653325372625
+Mettler Toledo,2021,338.6882949860822
+"
+US,fundamental,"From 2021 to 2023, how does the minimum of Return on Equity for Lilly (Eli) compare to W. R. Berkley Corporation as a ratio? (Indicator unit: %; Use the average of beginning and ending stockholders’ equity) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.1016,hard,profitability,Net Income / Average Stockholders Equity * 100%,"corporate,year,NetIncome,AllEquityBalance
+Lilly (Eli),2020,6193700000.0,5641600000.0
+Lilly (Eli),2021,5581700000.0,8979200000.0
+Lilly (Eli),2022,6244800000.0,10649800000.0
+Lilly (Eli),2023,5240400000.0,10771900000.0
+W. R. Berkley Corporation,2020,530670000.0,6310802000.0
+W. R. Berkley Corporation,2021,1022490000.0,6653011000.0
+W. R. Berkley Corporation,2022,1381062000.0,6748332000.0
+W. R. Berkley Corporation,2023,1381359000.0,7455431000.0
+","corporate,year,Return on Equity
+Lilly (Eli),2021,76.35286714817246
+Lilly (Eli),2022,63.628305058841505
+Lilly (Eli),2023,48.926088965861716
+W. R. Berkley Corporation,2021,15.774525596751513
+W. R. Berkley Corporation,2022,20.61079997728586
+W. R. Berkley Corporation,2023,19.450606152749803
+"
+US,fundamental,"Over 2020-2022, what is the ratio of Hartford (The) to Emcor for the minimum of Return on Equity? (Indicator unit: %; Use the average of beginning and ending stockholders’ equity) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.5419,hard,profitability,Net Income / Average Stockholders Equity * 100%,"corporate,year,NetIncome,AllEquityBalance
+Hartford (The),2019,2085000000.0,16270000000.0
+Hartford (The),2020,1737000000.0,18556000000.0
+Hartford (The),2021,2365000000.0,17843000000.0
+Hartford (The),2022,1815000000.0,13631000000.0
+Emcor,2019,325140000.0,2057134000.0
+Emcor,2020,132943000.0,2052668000.0
+Emcor,2021,383532000.0,2252387000.0
+Emcor,2022,406122000.0,1973589000.0
+","corporate,year,Return on Equity
+Emcor,2020,6.4695574142014625
+Emcor,2021,17.817751457298456
+Emcor,2022,19.220270063057622
+Hartford (The),2020,9.975305806007007
+Hartford (The),2021,12.994862496222423
+Hartford (The),2022,11.533329097032471
+"
+US,fundamental,"Calculate the maximum of Return on Equity for Walmart and Dollar General separately from 2023 to 2025, and compute the ratio of Walmart to Dollar General. (Indicator unit: %; Use the average of beginning and ending stockholders’ equity) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.8497,hard,profitability,Net Income / Average Stockholders Equity * 100%,"corporate,year,NetIncome,AllEquityBalance
+Walmart,2022,11680000000.0,76693000000.0
+Walmart,2023,15511000000.0,83861000000.0
+Walmart,2024,19436000000.0,91013000000.0
+Walmart,2025,21893000000.0,99617000000.0
+Dollar General,2022,2415989000.0,5541772000.0
+Dollar General,2023,1661274000.0,6749119000.0
+Dollar General,2024,1125253000.0,7413707000.0
+Dollar General,2025,1512311000.0,8511962000.0
+","corporate,year,Return on Equity
+Dollar General,2023,27.03260487787256
+Dollar General,2024,15.890232641423399
+Dollar General,2025,18.99211894960268
+Walmart,2023,19.321848100950458
+Walmart,2024,22.228576003293803
+Walmart,2025,22.969102449771807
+"
+US,fundamental,"Comparing the minimum of Return on Assets from 2018 to 2020, what is the ratio of Xcel Energy to Blackstone Inc.? (Indicator unit: %; Use the average of beginning and ending total assets) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.7943,hard,profitability,Net Income / Average Total Assets * 100%,"corporate,year,NetIncome,Assets
+Xcel Energy,2017,1148000000.0,43030000000.0
+Xcel Energy,2018,1261000000.0,45987000000.0
+Xcel Energy,2019,1372000000.0,50448000000.0
+Xcel Energy,2020,1473000000.0,53957000000.0
+Blackstone Inc.,2017,1470830000.0,34428910000.0
+Blackstone Inc.,2018,1541788000.0,28924650000.0
+Blackstone Inc.,2019,2049682000.0,32585506000.0
+Blackstone Inc.,2020,1045363000.0,26269252000.0
+","corporate,year,Return on Assets
+Blackstone Inc.,2018,4.867249764654109
+Blackstone Inc.,2019,6.664531951439044
+Blackstone Inc.,2020,3.55234830801615
+Xcel Energy,2018,2.833166698495793
+Xcel Energy,2019,2.845439933634054
+Xcel Energy,2020,2.821703941382118
+"
+US,fundamental,"What is the ratio of News Corp (Class A) to Intuitive Surgical in terms of the maximum of Return on Assets from 2022 to 2024? (Indicator unit: %; Use the average of beginning and ending total assets) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.2698,hard,profitability,Net Income / Average Total Assets * 100%,"corporate,year,NetIncome,Assets
+News Corp (Class A),2021,330000000.0,16771000000.0
+News Corp (Class A),2022,623000000.0,17221000000.0
+News Corp (Class A),2023,149000000.0,16921000000.0
+News Corp (Class A),2024,266000000.0,16684000000.0
+Intuitive Surgical,2021,1704600000.0,13555000000.0
+Intuitive Surgical,2022,1322300000.0,12974000000.0
+Intuitive Surgical,2023,1798000000.0,15441500000.0
+Intuitive Surgical,2024,2322600000.0,18743200000.0
+","corporate,year,Return on Assets
+Intuitive Surgical,2022,9.968713483357835
+Intuitive Surgical,2023,12.65506501733209
+Intuitive Surgical,2024,13.588535221897516
+News Corp (Class A),2022,3.6655683690280063
+News Corp (Class A),2023,0.8728252592115283
+News Corp (Class A),2024,1.583097753310519
+"
+US,fundamental,"From 2023 to 2025, how does the average of Return on Assets for CMS Energy compare to Mosaic Company (The) as a ratio? (Indicator unit: %; Use the average of beginning and ending total assets) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0479,hard,profitability,Net Income / Average Total Assets * 100%,"corporate,year,NetIncome,Assets
+CMS Energy,2022,837000000.0,31353000000.0
+CMS Energy,2023,887000000.0,33517000000.0
+CMS Energy,2024,1003000000.0,35920000000.0
+CMS Energy,2025,1071000000.0,39941000000.0
+Mosaic Company (The),2022,3582800000.0,23386000000.0
+Mosaic Company (The),2023,1164900000.0,23032800000.0
+Mosaic Company (The),2024,174900000.0,22924000000.0
+Mosaic Company (The),2025,540700000.0,24480100000.0
+","corporate,year,Return on Assets
+CMS Energy,2023,2.7347001695699094
+CMS Energy,2024,2.888949695407348
+CMS Energy,2025,2.8235852414284017
+Mosaic Company (The),2023,5.019087094022249
+Mosaic Company (The),2024,0.76114960136476
+Mosaic Company (The),2025,2.2812372769443994
+"
+US,fundamental,"Over 2021-2023, what is the ratio of Jacobs Solutions to Johnson & Johnson for the maximum of Return on Assets? (Indicator unit: %; Use the average of beginning and ending total assets) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.2296,hard,profitability,Net Income / Average Total Assets * 100%,"corporate,year,NetIncome,Assets
+Jacobs Solutions,2020,491845000.0,12354353000.0
+Jacobs Solutions,2021,477030000.0,14632609000.0
+Jacobs Solutions,2022,644039000.0,14660419000.0
+Jacobs Solutions,2023,665777000.0,14617109000.0
+Johnson & Johnson,2020,14714000000.0,174894000000.0
+Johnson & Johnson,2021,20878000000.0,182018000000.0
+Johnson & Johnson,2022,17941000000.0,187378000000.0
+Johnson & Johnson,2023,35153000000.0,167558000000.0
+","corporate,year,Return on Assets
+Jacobs Solutions,2021,3.535262694630096
+Jacobs Solutions,2022,4.397216975998521
+Jacobs Solutions,2023,4.5480410777849825
+Johnson & Johnson,2021,11.699242390281078
+Johnson & Johnson,2022,9.713694788248924
+Johnson & Johnson,2023,19.808078076047515
+"
+US,fundamental,"Calculate the minimum of Return on Assets for Kraft Heinz and CMS Energy separately from 2020 to 2024, and compute the ratio of Kraft Heinz to CMS Energy. (Indicator unit: %; Use the average of beginning and ending total assets) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.1324,hard,profitability,Net Income / Average Total Assets * 100%,"corporate,year,NetIncome,Assets
+Kraft Heinz,2019,1935000000.0,101450000000.0
+Kraft Heinz,2020,356000000.0,99830000000.0
+Kraft Heinz,2021,1012000000.0,93394000000.0
+Kraft Heinz,2022,2363000000.0,90513000000.0
+Kraft Heinz,2023,2855000000.0,90339000000.0
+Kraft Heinz,2024,2744000000.0,88287000000.0
+CMS Energy,2019,680000000.0,26837000000.0
+CMS Energy,2020,755000000.0,29666000000.0
+CMS Energy,2021,1353000000.0,28753000000.0
+CMS Energy,2022,837000000.0,31353000000.0
+CMS Energy,2023,887000000.0,33517000000.0
+CMS Energy,2024,1003000000.0,35920000000.0
+","corporate,year,Return on Assets
+CMS Energy,2020,2.6724244730368296
+CMS Energy,2021,4.632054639757613
+CMS Energy,2022,2.785079692543174
+CMS Energy,2023,2.7347001695699094
+CMS Energy,2024,2.888949695407348
+Kraft Heinz,2020,0.35373608903020665
+Kraft Heinz,2021,1.04748892477125
+Kraft Heinz,2022,2.5697771156073452
+Kraft Heinz,2023,3.157277774091522
+Kraft Heinz,2024,3.0723410925621133
+"
+US,fundamental,"Comparing the average of Return on Invested Capital from 2017 to 2021, what is the ratio of Archer Daniels Midland to United Parcel Service? (Indicator unit: %;  Use the sum of Pretax Income and Interest Expense as EBIT; Use the average of beginning and ending invested capital. Total cash is deducted rather than excess cash. Operating lease liabilities are capitalized and included in debt per ASC 842.) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.3389,hard,profitability,ROIC = NOPAT / Average Invested Capital * 100%; NOPAT = EBIT x (1 - effective tax rate); EBIT = Pretax Income + Interest Expense; effective tax rate = Income Taxes / Pretax Income; Invested Capital = Equity (incl. minority) + Total Debt (short + long-term debt + operating lease liabilities) - Cash and Short-Term Investments,"corporate,year,PretaxIncomeLoss,InterestExpense,IncomeTaxes,AllEquityBalanceIncludingMinorityInterest,ShortTermDebt,LongTermDebt,OperatingLeaseCurrentDebtEquivalent,OperatingLeaseNonCurrentDebtEquivalent,CashAndMarketableSecurities,ShortTermInvestments
+Archer Daniels Midland,2016,1822000000.0,283000000.0,534000000.0,17181000000.0,154000000.0,6504000000.0,0.0,0.0,5011000000.0,0.0
+Archer Daniels Midland,2017,1609000000.0,338000000.0,7000000.0,18322000000.0,857000000.0,6623000000.0,0.0,0.0,4826000000.0,0.0
+Archer Daniels Midland,2018,2060000000.0,351000000.0,245000000.0,18996000000.0,108000000.0,7698000000.0,0.0,0.0,4506000000.0,6000000.0
+Archer Daniels Midland,2019,1588000000.0,373000000.0,209000000.0,19225000000.0,1202000000.0,7672000000.0,0.0,0.0,4458000000.0,0.0
+Archer Daniels Midland,2020,1883000000.0,345000000.0,101000000.0,20022000000.0,2042000000.0,7885000000.0,261000000.0,863000000.0,5890000000.0,0.0
+Archer Daniels Midland,2021,3313000000.0,276000000.0,578000000.0,22508000000.0,958000000.0,8011000000.0,277000000.0,765000000.0,8016000000.0,0.0
+United Parcel Service,2016,5136000000.0,381000000.0,1705000000.0,429000000.0,3681000000.0,12394000000.0,0.0,0.0,3476000000.0,1091000000.0
+United Parcel Service,2017,7148000000.0,453000000.0,2238000000.0,1030000000.0,4011000000.0,20278000000.0,0.0,0.0,3320000000.0,749000000.0
+United Parcel Service,2018,6019000000.0,605000000.0,1228000000.0,3037000000.0,2805000000.0,19931000000.0,0.0,0.0,4225000000.0,810000000.0
+United Parcel Service,2019,5652000000.0,653000000.0,1212000000.0,3283000000.0,3420000000.0,21818000000.0,538000000.0,2391000000.0,5238000000.0,503000000.0
+United Parcel Service,2020,1844000000.0,701000000.0,501000000.0,669000000.0,2623000000.0,22031000000.0,560000000.0,2540000000.0,5910000000.0,406000000.0
+United Parcel Service,2021,16595000000.0,694000000.0,3705000000.0,14269000000.0,0.0,19784000000.0,580000000.0,3033000000.0,10255000000.0,338000000.0
+","corporate,year,Return on Invested Capital
+Archer Daniels Midland,2017,9.740375446899254
+Archer Daniels Midland,2018,9.81951118369589
+Archer Daniels Midland,2019,7.415073437009088
+Archer Daniels Midland,2020,8.63712499942351
+Archer Daniels Midland,2021,11.926288580361945
+United Parcel Service,2017,31.465140922201908
+United Parcel Service,2018,25.11464006923678
+United Parcel Service,2019,21.327415760547478
+United Parcel Service,2020,7.752818831551315
+United Parcel Service,2021,54.6118647720783
+"
+US,fundamental,"What is the ratio of Accenture to PPG Industries in terms of the average of Return on Invested Capital from 2019 to 2021? (Indicator unit: %;  Use the sum of Pretax Income and Interest Expense as EBIT; Use the average of beginning and ending invested capital. Total cash is deducted rather than excess cash. Operating lease liabilities are capitalized and included in debt per ASC 842.) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",4.0683,hard,profitability,ROIC = NOPAT / Average Invested Capital * 100%; NOPAT = EBIT x (1 - effective tax rate); EBIT = Pretax Income + Interest Expense; effective tax rate = Income Taxes / Pretax Income; Invested Capital = Equity (incl. minority) + Total Debt (short + long-term debt + operating lease liabilities) - Cash and Short-Term Investments,"corporate,year,PretaxIncomeLoss,InterestExpense,IncomeTaxes,AllEquityBalanceIncludingMinorityInterest,ShortTermDebt,LongTermDebt,OperatingLeaseCurrentDebtEquivalent,OperatingLeaseNonCurrentDebtEquivalent,CashAndMarketableSecurities,ShortTermInvestments
+Accenture,2018,5808093000.0,19539000.0,1593499000.0,10724588000.0,5337000.0,19676000.0,0.0,0.0,5061360000.0,3192000.0
+Accenture,2019,6251797000.0,22963000.0,1405556000.0,14827691000.0,6411000.0,16247000.0,0.0,0.0,6126853000.0,3313000.0
+Accenture,2020,6774331000.0,33071000.0,1589018000.0,17499173000.0,7820000.0,54052000.0,756057000.0,2667584000.0,8415330000.0,94309000.0
+Accenture,2021,7761116000.0,59492000.0,1770571000.0,20097114000.0,12080000.0,53473000.0,744164000.0,2696917000.0,8168174000.0,4294000.0
+PPG Industries,2018,1693000000.0,118000000.0,353000000.0,4732000000.0,651000000.0,4365000000.0,0.0,0.0,902000000.0,61000000.0
+PPG Industries,2019,1661000000.0,132000000.0,392000000.0,5403000000.0,513000000.0,4539000000.0,170000000.0,622000000.0,1216000000.0,57000000.0
+PPG Industries,2020,1362000000.0,138000000.0,291000000.0,5815000000.0,578000000.0,5171000000.0,180000000.0,677000000.0,1826000000.0,96000000.0
+PPG Industries,2021,1815000000.0,121000000.0,374000000.0,6411000000.0,9000000.0,6572000000.0,192000000.0,693000000.0,1005000000.0,67000000.0
+","corporate,year,Return on Invested Capital
+Accenture,2019,67.53159350955278
+Accenture,2020,49.16791858631679
+Accenture,2021,43.262338884096955
+PPG Industries,2019,14.604698354061574
+PPG Industries,2020,11.522643662406121
+PPG Industries,2021,13.191440668268681
+"
+US,fundamental,"From 2020 to 2022, how does the average of Return on Invested Capital for Archer Daniels Midland compare to 3M as a ratio? (Indicator unit: %;  Use the sum of Pretax Income and Interest Expense as EBIT; Use the average of beginning and ending invested capital. Total cash is deducted rather than excess cash. Operating lease liabilities are capitalized and included in debt per ASC 842.) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.7309,hard,profitability,ROIC = NOPAT / Average Invested Capital * 100%; NOPAT = EBIT x (1 - effective tax rate); EBIT = Pretax Income + Interest Expense; effective tax rate = Income Taxes / Pretax Income; Invested Capital = Equity (incl. minority) + Total Debt (short + long-term debt + operating lease liabilities) - Cash and Short-Term Investments,"corporate,year,PretaxIncomeLoss,InterestExpense,IncomeTaxes,AllEquityBalanceIncludingMinorityInterest,ShortTermDebt,LongTermDebt,OperatingLeaseCurrentDebtEquivalent,OperatingLeaseNonCurrentDebtEquivalent,CashAndMarketableSecurities,ShortTermInvestments
+Archer Daniels Midland,2019,1588000000.0,373000000.0,209000000.0,19225000000.0,1202000000.0,7672000000.0,0.0,0.0,4458000000.0,0.0
+Archer Daniels Midland,2020,1883000000.0,345000000.0,101000000.0,20022000000.0,2042000000.0,7885000000.0,261000000.0,863000000.0,5890000000.0,0.0
+Archer Daniels Midland,2021,3313000000.0,276000000.0,578000000.0,22508000000.0,958000000.0,8011000000.0,277000000.0,765000000.0,8016000000.0,0.0
+Archer Daniels Midland,2022,5233000000.0,409000000.0,868000000.0,24317000000.0,503000000.0,7735000000.0,292000000.0,816000000.0,9010000000.0,0.0
+3M,2019,5712000000.0,0.0,1130000000.0,10126000000.0,0.0,17518000000.0,247000000.0,607000000.0,0.0,98000000.0
+3M,2020,6711000000.0,0.0,1318000000.0,12931000000.0,0.0,17989000000.0,256000000.0,609000000.0,0.0,404000000.0
+3M,2021,7204000000.0,0.0,1285000000.0,15117000000.0,1307000000.0,16056000000.0,263000000.0,591000000.0,201000000.0,0.0
+3M,2022,6392000000.0,0.0,612000000.0,14770000000.0,1938000000.0,14001000000.0,261000000.0,580000000.0,238000000.0,0.0
+","corporate,year,Return on Invested Capital
+3M,2020,18.042521871497634
+3M,2021,18.34950553368261
+3M,2022,17.937776398479325
+Archer Daniels Midland,2020,8.63712499942351
+Archer Daniels Midland,2021,11.926288580361945
+Archer Daniels Midland,2022,19.14785170078337
+"
+US,fundamental,"Over 2022-2024, what is the ratio of EPAM Systems to Moody's Corporation for the minimum of Return on Invested Capital? (Indicator unit: %;  Use the sum of Pretax Income and Interest Expense as EBIT; Use the average of beginning and ending invested capital. Total cash is deducted rather than excess cash. Operating lease liabilities are capitalized and included in debt per ASC 842.) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.096,hard,profitability,ROIC = NOPAT / Average Invested Capital * 100%; NOPAT = EBIT x (1 - effective tax rate); EBIT = Pretax Income + Interest Expense; effective tax rate = Income Taxes / Pretax Income; Invested Capital = Equity (incl. minority) + Total Debt (short + long-term debt + operating lease liabilities) - Cash and Short-Term Investments,"corporate,year,PretaxIncomeLoss,InterestExpense,IncomeTaxes,AllEquityBalanceIncludingMinorityInterest,ShortTermDebt,LongTermDebt,OperatingLeaseCurrentDebtEquivalent,OperatingLeaseNonCurrentDebtEquivalent,CashAndMarketableSecurities,ShortTermInvestments
+EPAM Systems,2021,533392000.0,413000.0,87317000.0,2495837000.0,16018000.0,30234000.0,50104000.0,142802000.0,1446625000.0,0.0
+EPAM Systems,2022,507258000.0,1659000.0,113188000.0,3003010000.0,2861000.0,27693000.0,40352000.0,122317000.0,1681344000.0,0.0
+EPAM Systems,2023,536585000.0,4698000.0,177426000.0,3471470000.0,0.0,26126000.0,36558000.0,109261000.0,2036235000.0,60739000.0
+EPAM Systems,2024,584412000.0,3738000.0,196392000.0,3631151000.0,0.0,25194000.0,39634000.0,98426000.0,1286267000.0,1690000.0
+Moody's Corporation,2021,2755000000.0,171000000.0,541000000.0,2916000000.0,0.0,7413000000.0,105000000.0,455000000.0,1811000000.0,91000000.0
+Moody's Corporation,2022,1760000000.0,231000000.0,386000000.0,2689000000.0,0.0,7389000000.0,106000000.0,368000000.0,1769000000.0,90000000.0
+Moody's Corporation,2023,1935000000.0,251000000.0,327000000.0,3476000000.0,0.0,7001000000.0,108000000.0,306000000.0,2130000000.0,63000000.0
+Moody's Corporation,2024,2699000000.0,237000000.0,640000000.0,3727000000.0,0.0,6731000000.0,102000000.0,216000000.0,2408000000.0,566000000.0
+","corporate,year,Return on Invested Capital
+EPAM Systems,2022,28.207084383548313
+EPAM Systems,2023,23.669684077985558
+EPAM Systems,2024,19.27029547949473
+Moody's Corporation,2022,17.58300339366516
+Moody's Corporation,2023,20.891069469684712
+Moody's Corporation,2024,27.149107974895305
+"
+US,fundamental,"Calculate the average of Return on Invested Capital for Accenture and 3M separately from 2018 to 2022, and compute the ratio of Accenture to 3M. (Indicator unit: %;  Use the sum of Pretax Income and Interest Expense as EBIT; Use the average of beginning and ending invested capital. Total cash is deducted rather than excess cash. Operating lease liabilities are capitalized and included in debt per ASC 842.) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.8433,hard,profitability,ROIC = NOPAT / Average Invested Capital * 100%; NOPAT = EBIT x (1 - effective tax rate); EBIT = Pretax Income + Interest Expense; effective tax rate = Income Taxes / Pretax Income; Invested Capital = Equity (incl. minority) + Total Debt (short + long-term debt + operating lease liabilities) - Cash and Short-Term Investments,"corporate,year,PretaxIncomeLoss,InterestExpense,IncomeTaxes,AllEquityBalanceIncludingMinorityInterest,ShortTermDebt,LongTermDebt,OperatingLeaseCurrentDebtEquivalent,OperatingLeaseNonCurrentDebtEquivalent,CashAndMarketableSecurities,ShortTermInvestments
+Accenture,2017,4616032000.0,15545000.0,981100000.0,9710200000.0,2907000.0,22163000.0,0.0,0.0,4126860000.0,3011000.0
+Accenture,2018,5808093000.0,19539000.0,1593499000.0,10724588000.0,5337000.0,19676000.0,0.0,0.0,5061360000.0,3192000.0
+Accenture,2019,6251797000.0,22963000.0,1405556000.0,14827691000.0,6411000.0,16247000.0,0.0,0.0,6126853000.0,3313000.0
+Accenture,2020,6774331000.0,33071000.0,1589018000.0,17499173000.0,7820000.0,54052000.0,756057000.0,2667584000.0,8415330000.0,94309000.0
+Accenture,2021,7761116000.0,59492000.0,1770571000.0,20097114000.0,12080000.0,53473000.0,744164000.0,2696917000.0,8168174000.0,4294000.0
+Accenture,2022,9196167000.0,47320000.0,2207207000.0,22747088000.0,9175000.0,45893000.0,707598000.0,2563090000.0,7889833000.0,3973000.0
+3M,2017,7548000000.0,0.0,2679000000.0,11622000000.0,1853000000.0,12096000000.0,0.0,0.0,3053000000.0,0.0
+3M,2018,7000000000.0,0.0,1637000000.0,9848000000.0,1211000000.0,13411000000.0,0.0,0.0,2853000000.0,380000000.0
+3M,2019,5712000000.0,0.0,1130000000.0,10126000000.0,0.0,17518000000.0,247000000.0,607000000.0,0.0,98000000.0
+3M,2020,6711000000.0,0.0,1318000000.0,12931000000.0,0.0,17989000000.0,256000000.0,609000000.0,0.0,404000000.0
+3M,2021,7204000000.0,0.0,1285000000.0,15117000000.0,1307000000.0,16056000000.0,263000000.0,591000000.0,201000000.0,0.0
+3M,2022,6392000000.0,0.0,612000000.0,14770000000.0,1938000000.0,14001000000.0,261000000.0,580000000.0,238000000.0,0.0
+","corporate,year,Return on Invested Capital
+3M,2018,24.51376985487373
+3M,2019,18.462034369522733
+3M,2020,18.042521871497634
+3M,2021,18.34950553368261
+3M,2022,17.937776398479325
+Accenture,2018,74.90884881746632
+Accenture,2019,67.53159350955278
+Accenture,2020,49.16791858631679
+Accenture,2021,43.262338884096955
+Accenture,2022,41.80217840793797
+"
+US,fundamental,"Comparing the average of Days Inventory Outstanding from 2021 to 2023, what is the ratio of A. O. Smith to Amgen? (Use the average of beginning and ending inventory; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.2668,hard,operational efficiency,Average Inventory / COGS * 365,"corporate,year,CostOfGoodsAndServicesSold,Inventories
+A. O. Smith,2020,1787100000.0,300100000.0
+A. O. Smith,2021,2228000000.0,447700000.0
+A. O. Smith,2022,2424300000.0,516400000.0
+A. O. Smith,2023,2368000000.0,497400000.0
+Amgen,2020,6159000000.0,3893000000.0
+Amgen,2021,6454000000.0,4086000000.0
+Amgen,2022,6406000000.0,4930000000.0
+Amgen,2023,8451000000.0,9518000000.0
+","corporate,year,Days Inventory Outstanding
+A. O. Smith,2021,61.25381508078994
+A. O. Smith,2022,72.57692942292621
+A. O. Smith,2023,78.1328125
+Amgen,2021,225.6224821815928
+Amgen,2022,256.8560724320949
+Amgen,2023,312.00567980120695
+"
+US,fundamental,"What is the ratio of Idexx Laboratories to Applied Materials in terms of the maximum of Days Inventory Outstanding from 2020 to 2024? (Use the average of beginning and ending inventory; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.6166,hard,operational efficiency,Average Inventory / COGS * 365,"corporate,year,CostOfGoodsAndServicesSold,Inventories
+Idexx Laboratories,2019,1041359000.0,195019000.0
+Idexx Laboratories,2020,1135615000.0,209873000.0
+Idexx Laboratories,2021,1325928000.0,269030000.0
+Idexx Laboratories,2022,1362986000.0,367823000.0
+Idexx Laboratories,2023,1470983000.0,380282000.0
+Idexx Laboratories,2024,1518577000.0,381877000.0
+Applied Materials,2019,8222000000.0,3474000000.0
+Applied Materials,2020,9510000000.0,3904000000.0
+Applied Materials,2021,12149000000.0,4309000000.0
+Applied Materials,2022,13792000000.0,5932000000.0
+Applied Materials,2023,14133000000.0,5725000000.0
+Applied Materials,2024,14279000000.0,5421000000.0
+","corporate,year,Days Inventory Outstanding
+Applied Materials,2020,141.5862250262881
+Applied Materials,2021,123.37414602024859
+Applied Materials,2022,135.51207221577727
+Applied Materials,2023,150.5273119649048
+Applied Materials,2024,142.45710483927445
+Idexx Laboratories,2020,65.06852234251926
+Idexx Laboratories,2021,65.91594528511352
+Idexx Laboratories,2022,85.27282928804846
+Idexx Laboratories,2023,92.81491526414649
+Idexx Laboratories,2024,91.59497180584192
+"
+US,fundamental,"From 2017 to 2021, how does the maximum of Days Inventory Outstanding for NiSource compare to T-Mobile US as a ratio? (Use the average of beginning and ending inventory; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.7281,hard,operational efficiency,Average Inventory / COGS * 365,"corporate,year,CostOfGoodsAndServicesSold,Inventories
+NiSource,2016,1390200000.0,279900000.0
+NiSource,2017,1518700000.0,285100000.0
+NiSource,2018,1761300000.0,286800000.0
+NiSource,2019,1534800000.0,250900000.0
+NiSource,2020,1109300000.0,191200000.0
+NiSource,2021,1392300000.0,327400000.0
+T-Mobile US,2016,10819000000.0,1111000000.0
+T-Mobile US,2017,11608000000.0,1566000000.0
+T-Mobile US,2018,30401000000.0,1084000000.0
+T-Mobile US,2019,30420000000.0,964000000.0
+T-Mobile US,2020,28266000000.0,2527000000.0
+T-Mobile US,2021,36605000000.0,2567000000.0
+","corporate,year,Days Inventory Outstanding
+NiSource,2017,67.8952393494436
+NiSource,2018,59.258360302049624
+NiSource,2019,63.93683216054209
+NiSource,2020,72.73348057333453
+NiSource,2021,67.97708827120591
+T-Mobile US,2017,42.087568917987596
+T-Mobile US,2018,15.908193809414163
+T-Mobile US,2019,12.286653517422748
+T-Mobile US,2020,22.539712021509942
+T-Mobile US,2021,25.396940308700994
+"
+US,fundamental,"Over 2018-2020, what is the ratio of Generac to Lilly (Eli) for the average of Days Inventory Outstanding? (Use the average of beginning and ending inventory; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.5272,hard,operational efficiency,Average Inventory / COGS * 365,"corporate,year,CostOfGoodsAndServicesSold,Inventories
+Generac,2017,1090328000.0,380341000.0
+Generac,2018,1298424000.0,544750000.0
+Generac,2019,1406584000.0,522024000.0
+Generac,2020,1527546000.0,603317000.0
+Lilly (Eli),2017,6070200000.0,4458300000.0
+Lilly (Eli),2018,6430000000.0,4111800000.0
+Lilly (Eli),2019,4721200000.0,3190700000.0
+Lilly (Eli),2020,5483300000.0,3980300000.0
+","corporate,year,Days Inventory Outstanding
+Generac,2018,130.02617596409186
+Generac,2019,138.41068503551867
+Generac,2020,134.44749454353584
+Lilly (Eli),2018,243.24156298600312
+Lilly (Eli),2019,282.28125264763196
+Lilly (Eli),2020,238.6715116809221
+"
+US,fundamental,"Calculate the average of Days Inventory Outstanding for Starbucks and Tractor Supply separately from 2018 to 2020, and compute the ratio of Starbucks to Tractor Supply. (Use the average of beginning and ending inventory; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.6117,hard,operational efficiency,Average Inventory / COGS * 365,"corporate,year,CostOfGoodsAndServicesSold,Inventories
+Starbucks,2017,9038200000.0,1364000000.0
+Starbucks,2018,10174500000.0,1400500000.0
+Starbucks,2019,8526900000.0,1529400000.0
+Starbucks,2020,7694900000.0,1551400000.0
+Tractor Supply,2017,4764417000.0,1453208000.0
+Tractor Supply,2018,5208518000.0,1589542000.0
+Tractor Supply,2019,5480161000.0,1602781000.0
+Tractor Supply,2020,6858803000.0,1783270000.0
+","corporate,year,Days Inventory Outstanding
+Starbucks,2018,49.586834733893554
+Starbucks,2019,62.70822338716298
+Starbucks,2020,73.06735630092658
+Tractor Supply,2018,106.6141798876379
+Tractor Supply,2019,106.31055319360144
+Tractor Supply,2020,90.09652376661059
+"
+US,fundamental,"Comparing the average of Days Sales Outstanding from 2023 to 2025, what is the ratio of Datadog to Aptiv? (Use the average of beginning and ending trade receivables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.2024,hard,operational efficiency,Average Trade Receivables / Revenue * 365,"corporate,year,Revenue,TradeReceivables
+Datadog,2022,1675100000.0,399551000.0
+Datadog,2023,2128359000.0,509279000.0
+Datadog,2024,2684275000.0,598919000.0
+Datadog,2025,3427158000.0,741262000.0
+Aptiv,2022,17489000000.0,3433000000.0
+Aptiv,2023,20051000000.0,3546000000.0
+Aptiv,2024,19713000000.0,3261000000.0
+Aptiv,2025,20398000000.0,3477000000.0
+","corporate,year,Days Sales Outstanding
+Aptiv,2023,63.52139544162386
+Aptiv,2024,63.01818596865013
+Aptiv,2025,60.28458672418864
+Datadog,2023,77.92927555924541
+Datadog,2024,75.3447895614272
+Datadog,2025,71.3661385030979
+"
+US,fundamental,"What is the ratio of Coca-Cola Company (The) to Colgate-Palmolive in terms of the minimum of Days Sales Outstanding from 2018 to 2020? (Use the average of beginning and ending trade receivables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.2042,hard,operational efficiency,Average Trade Receivables / Revenue * 365,"corporate,year,Revenue,TradeReceivables
+Coca-Cola Company (The),2017,35410000000.0,3667000000.0
+Coca-Cola Company (The),2018,31856000000.0,3396000000.0
+Coca-Cola Company (The),2019,37266000000.0,3971000000.0
+Coca-Cola Company (The),2020,33014000000.0,3144000000.0
+Colgate-Palmolive,2017,15454000000.0,1480000000.0
+Colgate-Palmolive,2018,15544000000.0,1400000000.0
+Colgate-Palmolive,2019,15693000000.0,1440000000.0
+Colgate-Palmolive,2020,16471000000.0,1264000000.0
+","corporate,year,Days Sales Outstanding
+Coca-Cola Company (The),2018,40.46325652938222
+Coca-Cola Company (The),2019,36.07785917458273
+Coca-Cola Company (The),2020,39.331420003634825
+Colgate-Palmolive,2018,33.813690169840456
+Colgate-Palmolive,2019,33.02746447460651
+Colgate-Palmolive,2020,29.96053670086819
+"
+US,fundamental,"From 2017 to 2019, how does the maximum of Days Sales Outstanding for Vulcan Materials Company compare to Healthpeak Properties as a ratio? (Use the average of beginning and ending trade receivables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",4.0087,hard,operational efficiency,Average Trade Receivables / Revenue * 365,"corporate,year,Revenue,TradeReceivables
+Vulcan Materials Company,2016,3592667000.0,398488000.0
+Vulcan Materials Company,2017,3890296000.0,434089000.0
+Vulcan Materials Company,2018,4382869000.0,512279000.0
+Vulcan Materials Company,2019,4929103000.0,532012000.0
+Healthpeak Properties,2016,2129294000.0,45116000.0
+Healthpeak Properties,2017,1848378000.0,40733000.0
+Healthpeak Properties,2018,1846689000.0,48171000.0
+Healthpeak Properties,2019,1997383000.0,59417000.0
+","corporate,year,Days Sales Outstanding
+Healthpeak Properties,2017,8.476319508239115
+Healthpeak Properties,2018,8.785983996222427
+Healthpeak Properties,2019,9.830267905554418
+Vulcan Materials Company,2017,39.05751708867397
+Vulcan Materials Company,2018,39.40618804714446
+Vulcan Materials Company,2019,38.664866102412546
+"
+US,fundamental,"Over 2021-2023, what is the ratio of Yum! Brands to Alexandria Real Estate Equities for the average of Days Sales Outstanding? (Use the average of beginning and ending trade receivables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",30.1186,hard,operational efficiency,Average Trade Receivables / Revenue * 365,"corporate,year,Revenue,TradeReceivables
+Yum! Brands,2020,5652000000.0,534000000.0
+Yum! Brands,2021,6584000000.0,596000000.0
+Yum! Brands,2022,6842000000.0,648000000.0
+Yum! Brands,2023,7076000000.0,737000000.0
+Alexandria Real Estate Equities,2020,1885637000.0,7333000.0
+Alexandria Real Estate Equities,2021,2114150000.0,7379000.0
+Alexandria Real Estate Equities,2022,2588962000.0,7614000.0
+Alexandria Real Estate Equities,2023,2885699000.0,8211000.0
+","corporate,year,Days Sales Outstanding
+Alexandria Real Estate Equities,2021,1.2699855733982925
+Alexandria Real Estate Equities,2022,1.0568801318829708
+Alexandria Real Estate Equities,2023,1.0008190389919391
+Yum! Brands,2021,31.32214459295261
+Yum! Brands,2022,33.18181818181818
+Yum! Brands,2023,35.721099491237986
+"
+US,fundamental,"Calculate the maximum of Days Sales Outstanding for Diamondback Energy and FedEx separately from 2019 to 2021, and compute the ratio of Diamondback Energy to FedEx. (Use the average of beginning and ending trade receivables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.9279,hard,operational efficiency,Average Trade Receivables / Revenue * 365,"corporate,year,Revenue,TradeReceivables
+Diamondback Energy,2018,2176256000.0,296525000.0
+Diamondback Energy,2019,7505000000.0,429000000.0
+Diamondback Energy,2020,2756000000.0,281000000.0
+Diamondback Energy,2021,6747000000.0,598000000.0
+FedEx,2018,65450000000.0,8481000000.0
+FedEx,2019,69693000000.0,9116000000.0
+FedEx,2020,69217000000.0,10102000000.0
+FedEx,2021,83959000000.0,12069000000.0
+","corporate,year,Days Sales Outstanding
+Diamondback Energy,2019,17.642679880079946
+Diamondback Energy,2020,47.01560232220609
+Diamondback Energy,2021,23.77612272120943
+FedEx,2019,46.07998651227526
+FedEx,2020,50.67086120461737
+FedEx,2021,48.19265951238104
+"
+US,fundamental,"Comparing the maximum of Days Payable Outstanding from 2018 to 2022, what is the ratio of AES Corporation to Cognizant? (Use the average of beginning and ending trade payables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",5.4786,hard,operational efficiency,Average Trade Payables / COGS * 365,"corporate,year,CostOfGoodsAndServicesSold,TradePayables
+AES Corporation,2017,8066000000.0,1371000000.0
+AES Corporation,2018,8163000000.0,1329000000.0
+AES Corporation,2019,7840000000.0,1311000000.0
+AES Corporation,2020,6967000000.0,1156000000.0
+AES Corporation,2021,8430000000.0,1153000000.0
+AES Corporation,2022,10069000000.0,1730000000.0
+Cognizant,2017,9152000000.0,210000000.0
+Cognizant,2018,9838000000.0,215000000.0
+Cognizant,2019,10634000000.0,239000000.0
+Cognizant,2020,10671000000.0,389000000.0
+Cognizant,2021,11604000000.0,361000000.0
+Cognizant,2022,12448000000.0,360000000.0
+","corporate,year,Days Payable Outstanding
+AES Corporation,2018,60.363836824696804
+AES Corporation,2019,61.45408163265306
+AES Corporation,2020,64.62286493469212
+AES Corporation,2021,49.98724792408067
+AES Corporation,2022,52.25419604727381
+Cognizant,2018,7.8839703191705635
+Cognizant,2019,7.791517773180365
+Cognizant,2020,10.74032424327617
+Cognizant,2021,11.795501551189245
+Cognizant,2022,10.570573586118252
+"
+US,fundamental,"What is the ratio of Qualcomm to Axon Enterprise in terms of the average of Days Payable Outstanding from 2019 to 2021? (Use the average of beginning and ending trade payables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0326,hard,operational efficiency,Average Trade Payables / COGS * 365,"corporate,year,CostOfGoodsAndServicesSold,TradePayables
+Qualcomm,2018,10244000000.0,1825000000.0
+Qualcomm,2019,8599000000.0,1368000000.0
+Qualcomm,2020,9255000000.0,2248000000.0
+Qualcomm,2021,14262000000.0,2750000000.0
+Axon Enterprise,2018,161485000.0,15164000.0
+Axon Enterprise,2019,223574000.0,25874000.0
+Axon Enterprise,2020,264672000.0,24142000.0
+Axon Enterprise,2021,322471000.0,32220000.0
+","corporate,year,Days Payable Outstanding
+Axon Enterprise,2019,33.49868499915017
+Axon Enterprise,2020,34.48766775480595
+Axon Enterprise,2021,31.897643509028722
+Qualcomm,2019,67.7663100360507
+Qualcomm,2020,71.30415991356024
+Qualcomm,2021,63.955616323096336
+"
+US,fundamental,"From 2017 to 2019, how does the average of Days Payable Outstanding for Targa Resources compare to Martin Marietta Materials as a ratio? (Use the average of beginning and ending trade payables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.1733,hard,operational efficiency,Average Trade Payables / COGS * 365,"corporate,year,CostOfGoodsAndServicesSold,TradePayables
+Targa Resources,2016,4922900000.0,843500000.0
+Targa Resources,2017,6906100000.0,1186900000.0
+Targa Resources,2018,8238200000.0,1737300000.0
+Targa Resources,2019,6118500000.0,1379900000.0
+Martin Marietta Materials,2016,2909783000.0,178598000.0
+Martin Marietta Materials,2017,2993654000.0,183638000.0
+Martin Marietta Materials,2018,3277688000.0,210808000.0
+Martin Marietta Materials,2019,3560100000.0,229600000.0
+","corporate,year,Days Payable Outstanding
+Martin Marietta Materials,2017,22.08273568020887
+Martin Marietta Materials,2018,21.96255256754151
+Martin Marietta Materials,2019,22.57646133535575
+Targa Resources,2017,53.655174411027936
+Targa Resources,2018,64.77950280401059
+Targa Resources,2019,92.97850780420039
+"
+US,fundamental,"Over 2019-2021, what is the ratio of EPAM Systems to Cooper Companies (The) for the minimum of Days Payable Outstanding? (Use the average of beginning and ending trade payables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.031,hard,operational efficiency,Average Trade Payables / COGS * 365,"corporate,year,CostOfGoodsAndServicesSold,TradePayables
+EPAM Systems,2018,1186921000.0,7444000.0
+EPAM Systems,2019,1488198000.0,7831000.0
+EPAM Systems,2020,1732522000.0,10189000.0
+EPAM Systems,2021,2483697000.0,24847000.0
+Cooper Companies (The),2018,900500000.0,146400000.0
+Cooper Companies (The),2019,896600000.0,150100000.0
+Cooper Companies (The),2020,896100000.0,176000000.0
+Cooper Companies (The),2021,966700000.0,161400000.0
+","corporate,year,Days Payable Outstanding
+Cooper Companies (The),2019,60.3516060673656
+Cooper Companies (The),2020,66.41362571141613
+Cooper Companies (The),2021,63.69659666908038
+EPAM Systems,2019,1.8731966445325152
+EPAM Systems,2020,1.8981865742541797
+EPAM Systems,2021,2.57441628346775
+"
+US,fundamental,"Calculate the maximum of Days Payable Outstanding for Molina Healthcare and Coterra separately from 2020 to 2024, and compute the ratio of Molina Healthcare to Coterra. (Use the average of beginning and ending trade payables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0444,hard,operational efficiency,Average Trade Payables / COGS * 365,"corporate,year,CostOfGoodsAndServicesSold,TradePayables
+Molina Healthcare,2019,13905000000.0,455000000.0
+Molina Healthcare,2020,15820000000.0,641000000.0
+Molina Healthcare,2021,23704000000.0,842000000.0
+Molina Healthcare,2022,27175000000.0,889000000.0
+Molina Healthcare,2023,28669000000.0,1252000000.0
+Molina Healthcare,2024,34428000000.0,1331000000.0
+Coterra,2019,574677000.0,189811000.0
+Coterra,2020,571102000.0,162081000.0
+Coterra,2021,663000000.0,747000000.0
+Coterra,2022,955000000.0,844000000.0
+Coterra,2023,975000000.0,803000000.0
+Coterra,2024,976000000.0,833000000.0
+","corporate,year,Days Payable Outstanding
+Coterra,2020,112.44977254500947
+Coterra,2021,250.23722850678735
+Coterra,2022,304.0392670157068
+Coterra,2023,308.2846153846154
+Coterra,2024,305.91188524590166
+Molina Healthcare,2020,12.643489254108722
+Molina Healthcare,2021,11.417798683766453
+Molina Healthcare,2022,11.62493100275989
+Molina Healthcare,2023,13.629094143499946
+Molina Healthcare,2024,13.692270826071802
+"
+US,fundamental,"Comparing the maximum of Operating Cycle from 2021 to 2025, what is the ratio of Idexx Laboratories to Best Buy? (Use the average of beginning and ending inventory and trade receivables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0122,hard,operational efficiency,Days Inventory Outstanding + Days Sales Outstanding,"corporate,year,CostOfGoodsAndServicesSold,Inventories,Revenue,TradeReceivables
+Idexx Laboratories,2020,1135615000.0,209873000.0,2706655000.0,331429000.0
+Idexx Laboratories,2021,1325928000.0,269030000.0,3215360000.0,368348000.0
+Idexx Laboratories,2022,1362986000.0,367823000.0,3367324000.0,400619000.0
+Idexx Laboratories,2023,1470983000.0,380282000.0,3660953000.0,457445000.0
+Idexx Laboratories,2024,1518577000.0,381877000.0,3897504000.0,473575000.0
+Idexx Laboratories,2025,1644123000.0,377756000.0,4303702000.0,552378000.0
+Best Buy,2020,36689000000.0,5612000000.0,47262000000.0,1061000000.0
+Best Buy,2021,40121000000.0,5965000000.0,51761000000.0,1042000000.0
+Best Buy,2022,36386000000.0,5140000000.0,46298000000.0,1141000000.0
+Best Buy,2023,33849000000.0,4958000000.0,43452000000.0,939000000.0
+Best Buy,2024,32143000000.0,5085000000.0,41528000000.0,1044000000.0
+Best Buy,2025,32318000000.0,5230000000.0,41691000000.0,1043000000.0
+","corporate,year,Operating Cycle
+Best Buy,2021,60.07556440852605
+Best Buy,2022,64.3040332206579
+Best Buy,2023,63.18037331985371
+Best Buy,2024,65.73621078834503
+Best Buy,2025,67.38461080643626
+Idexx Laboratories,2021,105.63445347704226
+Idexx Laboratories,2022,126.94879438674404
+Idexx Laboratories,2023,135.5897555857786
+Idexx Laboratories,2024,135.18983405614364
+Idexx Laboratories,2025,127.82624590920022
+"
+US,fundamental,"What is the ratio of Teradyne to General Mills in terms of the maximum of Operating Cycle from 2021 to 2023? (Use the average of beginning and ending inventory and trade receivables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.9187,hard,operational efficiency,Days Inventory Outstanding + Days Sales Outstanding,"corporate,year,CostOfGoodsAndServicesSold,Inventories,Revenue,TradeReceivables
+Teradyne,2020,1335728000.0,222189000.0,3121469000.0,497506000.0
+Teradyne,2021,1496225000.0,243330000.0,3702881000.0,550749000.0
+Teradyne,2022,1287894000.0,325019000.0,3155045000.0,491145000.0
+Teradyne,2023,1139550000.0,309974000.0,2676298000.0,422124000.0
+General Mills,2020,11496700000.0,1426300000.0,17626600000.0,1615100000.0
+General Mills,2021,11678700000.0,1820500000.0,18127000000.0,1638500000.0
+General Mills,2022,12590600000.0,1867300000.0,18992800000.0,1692100000.0
+General Mills,2023,13548400000.0,2172000000.0,20094200000.0,1683200000.0
+","corporate,year,Operating Cycle
+General Mills,2021,83.49366875272301
+General Mills,2022,85.4578592872821
+General Mills,2023,85.0655073025127
+Teradyne,2021,108.4452852635549
+Teradyne,2022,140.80462209490534
+Teradyne,2023,163.97164232149035
+"
+US,fundamental,"From 2018 to 2022, how does the maximum of Operating Cycle for Mosaic Company (The) compare to ResMed as a ratio? (Use the average of beginning and ending inventory and trade receivables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.6301,hard,operational efficiency,Days Inventory Outstanding + Days Sales Outstanding,"corporate,year,CostOfGoodsAndServicesSold,Inventories,Revenue,TradeReceivables
+Mosaic Company (The),2017,6566600000.0,1547200000.0,7409400000.0,642600000.0
+Mosaic Company (The),2018,8088900000.0,2270200000.0,10407400000.0,838500000.0
+Mosaic Company (The),2019,8009000000.0,2076400000.0,9858800000.0,803900000.0
+Mosaic Company (The),2020,7616800000.0,1739200000.0,8681700000.0,881100000.0
+Mosaic Company (The),2021,9157100000.0,2741400000.0,12357400000.0,1531900000.0
+Mosaic Company (The),2022,13369400000.0,3543100000.0,19125200000.0,1699900000.0
+ResMed,2017,864992000.0,268319000.0,2066737000.0,450530000.0
+ResMed,2018,978032000.0,268701000.0,2340196000.0,483681000.0
+ResMed,2019,1069987000.0,349641000.0,2606572000.0,528484000.0
+ResMed,2020,1189624000.0,416915000.0,2957013000.0,474643000.0
+ResMed,2021,1312598000.0,457033000.0,3196825000.0,614292000.0
+ResMed,2022,1514166000.0,743910000.0,3578127000.0,575950000.0
+","corporate,year,Operating Cycle
+Mosaic Company (The),2018,112.09932402299087
+Mosaic Company (The),2019,129.4484780944114
+Mosaic Company (The),2020,126.8432835171171
+Mosaic Company (The),2021,124.93420658811993
+Mosaic Company (The),2022,116.62611599998846
+ResMed,2018,173.06187950644943
+ResMed,2019,176.33322217160045
+ResMed,2020,179.5078928519501
+ResMed,2021,183.6763192847389
+ResMed,2022,205.4552396968852
+"
+US,fundamental,"Over 2022-2024, what is the ratio of Danaher Corporation to Motorola Solutions for the average of Operating Cycle? (Use the average of beginning and ending inventory and trade receivables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.2502,hard,operational efficiency,Days Inventory Outstanding + Days Sales Outstanding,"corporate,year,CostOfGoodsAndServicesSold,Inventories,Revenue,TradeReceivables
+Danaher Corporation,2021,11501000000.0,2767000000.0,29453000000.0,4631000000.0
+Danaher Corporation,2022,12522000000.0,3110000000.0,31471000000.0,4918000000.0
+Danaher Corporation,2023,9856000000.0,2594000000.0,23890000000.0,3922000000.0
+Danaher Corporation,2024,9669000000.0,2330000000.0,23875000000.0,3537000000.0
+Motorola Solutions,2021,4131000000.0,788000000.0,8171000000.0,1386000000.0
+Motorola Solutions,2022,4883000000.0,1055000000.0,9112000000.0,1518000000.0
+Motorola Solutions,2023,5008000000.0,827000000.0,9978000000.0,1710000000.0
+Motorola Solutions,2024,5305000000.0,766000000.0,10817000000.0,1952000000.0
+","corporate,year,Operating Cycle
+Danaher Corporation,2022,141.0280011022233
+Danaher Corporation,2023,173.1492597633635
+Danaher Corporation,2024,149.95573030665827
+Motorola Solutions,2022,127.04418511698772
+Motorola Solutions,2023,127.62415673107033
+Motorola Solutions,2024,116.58536855581377
+"
+US,fundamental,"Calculate the maximum of Operating Cycle for Cummins and Amazon separately from 2021 to 2023, and compute the ratio of Cummins to Amazon. (Use the average of beginning and ending inventory and trade receivables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.9781,hard,operational efficiency,Days Inventory Outstanding + Days Sales Outstanding,"corporate,year,CostOfGoodsAndServicesSold,Inventories,Revenue,TradeReceivables
+Cummins,2020,14917000000.0,3425000000.0,19811000000.0,3440000000.0
+Cummins,2021,18326000000.0,4355000000.0,24021000000.0,3565000000.0
+Cummins,2022,21355000000.0,5603000000.0,28074000000.0,4826000000.0
+Cummins,2023,25816000000.0,5677000000.0,34065000000.0,5583000000.0
+Amazon,2020,233307000000.0,23795000000.0,386064000000.0,24542000000.0
+Amazon,2021,272344000000.0,32640000000.0,469822000000.0,32891000000.0
+Amazon,2022,288831000000.0,34405000000.0,513983000000.0,42360000000.0
+Amazon,2023,304739000000.0,33318000000.0,574785000000.0,52253000000.0
+","corporate,year,Operating Cycle
+Amazon,2021,60.12712797595613
+Amazon,2022,69.08225908879122
+Amazon,2023,70.59806129935279
+Cummins,2021,130.6979740361692
+Cummins,2022,139.6483261566786
+Cummins,2023,135.5064739792057
+"
+US,fundamental,"Comparing the maximum of Cash Conversion Cycle from 2021 to 2023, what is the ratio of TransDigm Group to Leidos? (Use the average of beginning and ending inventory, trade receivables, and trade payables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",105.3324,hard,operational efficiency,Days Inventory Outstanding + Days Sales Outstanding - Days Payable Outstanding,"corporate,year,CostOfGoodsAndServicesSold,Inventories,Revenue,TradeReceivables,TradePayables
+TransDigm Group,2020,2456000000.0,1283000000.0,5103000000.0,720000000.0,218000000.0
+TransDigm Group,2021,2285000000.0,1185000000.0,4798000000.0,791000000.0,227000000.0
+TransDigm Group,2022,2330000000.0,1332000000.0,5429000000.0,967000000.0,279000000.0
+TransDigm Group,2023,2743000000.0,1616000000.0,6585000000.0,1230000000.0,305000000.0
+Leidos,2020,10560000000.0,276000000.0,12297000000.0,2137000000.0,2175000000.0
+Leidos,2021,11723000000.0,274000000.0,13737000000.0,2189000000.0,2141000000.0
+Leidos,2022,12312000000.0,287000000.0,14396000000.0,2350000000.0,2254000000.0
+Leidos,2023,13194000000.0,310000000.0,15438000000.0,2429000000.0,2277000000.0
+","corporate,year,Cash Conversion Cycle
+Leidos,2021,-1.1557554518319364
+Leidos,2022,0.7103642337296492
+Leidos,2023,2.079585855045707
+TransDigm Group,2021,219.04782467713113
+TransDigm Group,2022,216.61046719374653
+TransDigm Group,2023,218.1727579638763
+"
+US,fundamental,"What is the ratio of Alphabet Inc. (Class C) to Ecolab in terms of the average of Cash Conversion Cycle from 2020 to 2022? (Use the average of beginning and ending inventory, trade receivables, and trade payables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.4772,hard,operational efficiency,Days Inventory Outstanding + Days Sales Outstanding - Days Payable Outstanding,"corporate,year,CostOfGoodsAndServicesSold,Inventories,Revenue,TradeReceivables,TradePayables
+Alphabet Inc. (Class C),2019,71896000000.0,999000000.0,161857000000.0,25326000000.0,5561000000.0
+Alphabet Inc. (Class C),2020,84732000000.0,728000000.0,182527000000.0,30930000000.0,5589000000.0
+Alphabet Inc. (Class C),2021,110939000000.0,1170000000.0,257637000000.0,39304000000.0,6037000000.0
+Alphabet Inc. (Class C),2022,126203000000.0,2670000000.0,282836000000.0,40258000000.0,5128000000.0
+Ecolab,2019,8723400000.0,1505600000.0,14906300000.0,2796500000.0,1284300000.0
+Ecolab,2020,6905800000.0,1285200000.0,11790200000.0,2273800000.0,1160600000.0
+Ecolab,2021,7615800000.0,1491800000.0,12733100000.0,2478400000.0,1384200000.0
+Ecolab,2022,8831000000.0,1792800000.0,14187800000.0,2698100000.0,1728200000.0
+","corporate,year,Cash Conversion Cycle
+Alphabet Inc. (Class C),2020,35.95195189966975
+Alphabet Inc. (Class C),2021,33.74799697645403
+Alphabet Inc. (Class C),2022,40.74484324313261
+Ecolab,2020,87.62407669134895
+Ecolab,2021,73.67625542286171
+Ecolab,2022,70.14482610676902
+"
+US,fundamental,"From 2018 to 2020, how does the minimum of Cash Conversion Cycle for Lamb Weston compare to Mondelez International as a ratio? (Use the average of beginning and ending inventory, trade receivables, and trade payables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-1.2751,hard,operational efficiency,Days Inventory Outstanding + Days Sales Outstanding - Days Payable Outstanding,"corporate,year,CostOfGoodsAndServicesSold,Inventories,Revenue,TradeReceivables,TradePayables
+Lamb Weston,2017,2381500000.0,525000000.0,3168000000.0,185200000.0,295000000.0
+Lamb Weston,2018,2544200000.0,549700000.0,3423700000.0,225900000.0,254400000.0
+Lamb Weston,2019,2753000000.0,498300000.0,3756500000.0,340100000.0,289200000.0
+Lamb Weston,2020,2897200000.0,486700000.0,3792400000.0,342100000.0,244400000.0
+Mondelez International,2017,15831000000.0,2557000000.0,25896000000.0,2691000000.0,5705000000.0
+Mondelez International,2018,15586000000.0,2592000000.0,25938000000.0,2262000000.0,5794000000.0
+Mondelez International,2019,15531000000.0,2546000000.0,25868000000.0,2212000000.0,5853000000.0
+Mondelez International,2020,16135000000.0,2647000000.0,26581000000.0,2297000000.0,6209000000.0
+","corporate,year,Cash Conversion Cycle
+Lamb Weston,2018,59.594351188681344
+Lamb Weston,2019,60.93501178656836
+Lamb Weston,2020,61.263734041398585
+Mondelez International,2018,-39.504234250391505
+Mondelez International,2019,-44.92096737255697
+Mondelez International,2020,-46.736067152914984
+"
+US,fundamental,"Over 2020-2022, what is the ratio of Dell Technologies to Texas Instruments for the maximum of Cash Conversion Cycle? (Use the average of beginning and ending inventory, trade receivables, and trade payables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-0.2467,hard,operational efficiency,Days Inventory Outstanding + Days Sales Outstanding - Days Payable Outstanding,"corporate,year,CostOfGoodsAndServicesSold,Inventories,Revenue,TradeReceivables,TradePayables
+Dell Technologies,2019,63221000000.0,3281000000.0,92154000000.0,12484000000.0,20065000000.0
+Dell Technologies,2020,64807000000.0,3402000000.0,94224000000.0,12788000000.0,21696000000.0
+Dell Technologies,2021,79306000000.0,5898000000.0,101197000000.0,12912000000.0,27143000000.0
+Dell Technologies,2022,79615000000.0,4776000000.0,102301000000.0,12482000000.0,18598000000.0
+Texas Instruments,2019,5219000000.0,2001000000.0,14383000000.0,1074000000.0,388000000.0
+Texas Instruments,2020,5192000000.0,1955000000.0,14461000000.0,1414000000.0,415000000.0
+Texas Instruments,2021,5968000000.0,1910000000.0,18344000000.0,1701000000.0,653000000.0
+Texas Instruments,2022,6257000000.0,2757000000.0,20028000000.0,1895000000.0,851000000.0
+","corporate,year,Cash Conversion Cycle
+Dell Technologies,2020,-49.83286044850237
+Dell Technologies,2021,-44.639943897659066
+Dell Technologies,2022,-35.08178022011572
+Texas Instruments,2020,142.22761380324891
+Texas Instruments,2021,116.52196344598141
+Texas Instruments,2022,125.02389829881447
+"
+US,fundamental,"Calculate the minimum of Cash Conversion Cycle for Western Digital and Marathon Petroleum separately from 2023 to 2025, and compute the ratio of Western Digital to Marathon Petroleum. (Use the average of beginning and ending inventory, trade receivables, and trade payables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",7.1352,hard,operational efficiency,Days Inventory Outstanding + Days Sales Outstanding - Days Payable Outstanding,"corporate,year,CostOfGoodsAndServicesSold,Inventories,Revenue,TradeReceivables,TradePayables
+Western Digital,2022,12919000000.0,3638000000.0,18793000000.0,2804000000.0,1902000000.0
+Western Digital,2023,10431000000.0,3698000000.0,12318000000.0,1598000000.0,1877000000.0
+Western Digital,2024,10058000000.0,3342000000.0,13003000000.0,2166000000.0,2037000000.0
+Western Digital,2025,5828000000.0,1291000000.0,9520000000.0,1486000000.0,1266000000.0
+Marathon Petroleum,2022,151671000000.0,8827000000.0,177453000000.0,13477000000.0,15312000000.0
+Marathon Petroleum,2023,128566000000.0,9317000000.0,148379000000.0,11619000000.0,13761000000.0
+Marathon Petroleum,2024,126240000000.0,9568000000.0,138864000000.0,11145000000.0,13906000000.0
+Marathon Petroleum,2025,119446000000.0,10129000000.0,132699000000.0,10317000000.0,12974000000.0
+","corporate,year,Cash Conversion Cycle
+Marathon Petroleum,2023,15.353273081569263
+Marathon Petroleum,2024,17.2214792890886
+Marathon Petroleum,2025,18.541724540650286
+Western Digital,2023,127.45179289897202
+Western Digital,2024,109.54909899878251
+Western Digital,2025,111.6575320244776
+"
+US,fundamental,"Comparing the maximum of Inventory Turnover from 2020 to 2024, what is the ratio of Tractor Supply to Bristol Myers Squibb? (Use the average of beginning and ending inventory) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.776,hard,operational efficiency,COGS / Average Inventory,"corporate,year,CostOfGoodsAndServicesSold,Inventories
+Tractor Supply,2019,5480161000.0,1602781000.0
+Tractor Supply,2020,6858803000.0,1783270000.0
+Tractor Supply,2021,8253952000.0,2191192000.0
+Tractor Supply,2022,9232513000.0,2709597000.0
+Tractor Supply,2023,9327522000.0,2645854000.0
+Tractor Supply,2024,9486674000.0,2840177000.0
+Bristol Myers Squibb,2019,8078000000.0,4293000000.0
+Bristol Myers Squibb,2020,11773000000.0,2074000000.0
+Bristol Myers Squibb,2021,9940000000.0,2095000000.0
+Bristol Myers Squibb,2022,10137000000.0,2339000000.0
+Bristol Myers Squibb,2023,10693000000.0,2662000000.0
+Bristol Myers Squibb,2024,13968000000.0,2557000000.0
+","corporate,year,Inventory Turnover
+Bristol Myers Squibb,2020,3.698130987906392
+Bristol Myers Squibb,2021,4.76852962341089
+Bristol Myers Squibb,2022,4.572395128552097
+Bristol Myers Squibb,2023,4.276344731053789
+Bristol Myers Squibb,2024,5.352749568882928
+Tractor Supply,2020,4.0512106876122065
+Tractor Supply,2021,4.153493982330187
+Tractor Supply,2022,3.76776596584754
+Tractor Supply,2023,3.4833749762625033
+Tractor Supply,2024,3.458483555780126
+"
+US,fundamental,"What is the ratio of Lamb Weston to First Solar in terms of the average of Inventory Turnover from 2021 to 2023? (Use the average of beginning and ending inventory) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.6369,hard,operational efficiency,COGS / Average Inventory,"corporate,year,CostOfGoodsAndServicesSold,Inventories
+Lamb Weston,2020,2897200000.0,486700000.0
+Lamb Weston,2021,2838900000.0,513500000.0
+Lamb Weston,2022,3266900000.0,574400000.0
+Lamb Weston,2023,3918500000.0,932000000.0
+First Solar,2020,2030659000.0,567587000.0
+First Solar,2021,2193423000.0,666299000.0
+First Solar,2022,2549461000.0,621376000.0
+First Solar,2023,2017923000.0,819899000.0
+","corporate,year,Inventory Turnover
+First Solar,2021,3.5553089993727136
+First Solar,2022,3.9597895431688896
+First Solar,2023,2.800191497111932
+Lamb Weston,2021,5.676664667066587
+Lamb Weston,2022,6.005882893648313
+Lamb Weston,2023,5.20246946362188
+"
+US,fundamental,"From 2019 to 2023, how does the minimum of Inventory Turnover for Campbell's Company (The) compare to Axon Enterprise as a ratio? (Use the average of beginning and ending inventory) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.972,hard,operational efficiency,COGS / Average Inventory,"corporate,year,CostOfGoodsAndServicesSold,Inventories
+Campbell's Company (The),2018,5869000000.0,1199000000.0
+Campbell's Company (The),2019,5414000000.0,863000000.0
+Campbell's Company (The),2020,5692000000.0,871000000.0
+Campbell's Company (The),2021,5665000000.0,933000000.0
+Campbell's Company (The),2022,5935000000.0,1246000000.0
+Campbell's Company (The),2023,6440000000.0,1291000000.0
+Axon Enterprise,2018,161485000.0,33763000.0
+Axon Enterprise,2019,223574000.0,38845000.0
+Axon Enterprise,2020,264672000.0,89958000.0
+Axon Enterprise,2021,322471000.0,108688000.0
+Axon Enterprise,2022,461297000.0,202471000.0
+Axon Enterprise,2023,608009000.0,269855000.0
+","corporate,year,Inventory Turnover
+Axon Enterprise,2019,6.158384750991626
+Axon Enterprise,2020,4.109717941352297
+Axon Enterprise,2021,3.2466900919223143
+Axon Enterprise,2022,2.9650243123290663
+Axon Enterprise,2023,2.574531150095485
+Campbell's Company (The),2019,5.251212415130941
+Campbell's Company (The),2020,6.565167243367935
+Campbell's Company (The),2021,6.280487804878049
+Campbell's Company (The),2022,5.447452960073428
+Campbell's Company (The),2023,5.07686243594797
+"
+US,fundamental,"Over 2020-2024, what is the ratio of Deere & Company to United Rentals for the minimum of Inventory Turnover? (Use the average of beginning and ending inventory) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.1199,hard,operational efficiency,COGS / Average Inventory,"corporate,year,CostOfGoodsAndServicesSold,Inventories
+Deere & Company,2019,28370000000.0,7567000000.0
+Deere & Company,2020,25289000000.0,4999000000.0
+Deere & Company,2021,30459000000.0,6988000000.0
+Deere & Company,2022,35338000000.0,6623000000.0
+Deere & Company,2023,37715000000.0,6917000000.0
+Deere & Company,2024,30775000000.0,7451000000.0
+United Rentals,2019,5681000000.0,120000000.0
+United Rentals,2020,5347000000.0,125000000.0
+United Rentals,2021,5863000000.0,164000000.0
+United Rentals,2022,6646000000.0,232000000.0
+United Rentals,2023,8519000000.0,205000000.0
+United Rentals,2024,9195000000.0,200000000.0
+","corporate,year,Inventory Turnover
+Deere & Company,2020,4.024988063027216
+Deere & Company,2021,5.082005505964795
+Deere & Company,2022,5.192564837263978
+Deere & Company,2023,5.570901033973412
+Deere & Company,2024,4.283825167037862
+United Rentals,2020,43.648979591836735
+United Rentals,2021,40.57439446366782
+United Rentals,2022,33.56565656565657
+United Rentals,2023,38.98855835240275
+United Rentals,2024,45.407407407407405
+"
+US,fundamental,"Calculate the average of Inventory Turnover for Textron and PPL Corporation separately from 2017 to 2021, and compute the ratio of Textron to PPL Corporation. (Use the average of beginning and ending inventory) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.5096,hard,operational efficiency,COGS / Average Inventory,"corporate,year,CostOfGoodsAndServicesSold,Inventories
+Textron,2016,11311000000.0,4464000000.0
+Textron,2017,11795000000.0,4150000000.0
+Textron,2018,11594000000.0,3818000000.0
+Textron,2019,11406000000.0,4069000000.0
+Textron,2020,10094000000.0,3513000000.0
+Textron,2021,10297000000.0,3468000000.0
+PPL Corporation,2016,1745000000.0,356000000.0
+PPL Corporation,2017,1635000000.0,320000000.0
+PPL Corporation,2018,1983000000.0,303000000.0
+PPL Corporation,2019,1985000000.0,332000000.0
+PPL Corporation,2020,1944000000.0,361000000.0
+PPL Corporation,2021,1608000000.0,322000000.0
+","corporate,year,Inventory Turnover
+PPL Corporation,2017,4.837278106508876
+PPL Corporation,2018,6.365971107544142
+PPL Corporation,2019,6.251968503937008
+PPL Corporation,2020,5.6103896103896105
+PPL Corporation,2021,4.708638360175695
+Textron,2017,2.7385651265381936
+Textron,2018,2.910140562248996
+Textron,2019,2.8923545074172687
+Textron,2020,2.6626219994724347
+Textron,2021,2.950007162297665
+"
+US,fundamental,"Comparing the maximum of Receivables Turnover from 2019 to 2021, what is the ratio of McDonald's to Ross Stores? (Use the average of beginning and ending trade receivables) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0722,hard,operational efficiency,Revenue / Average Trade Receivables,"corporate,year,Revenue,TradeReceivables
+McDonald's,2018,21025200000.0,2441500000.0
+McDonald's,2019,21076500000.0,2224200000.0
+McDonald's,2020,19207800000.0,2110300000.0
+McDonald's,2021,23222900000.0,1872400000.0
+Ross Stores,2018,14983541000.0,96711000.0
+Ross Stores,2019,16039073000.0,102236000.0
+Ross Stores,2020,12531565000.0,115067000.0
+Ross Stores,2021,18916244000.0,119247000.0
+","corporate,year,Receivables Turnover
+McDonald's,2019,9.034657178987075
+McDonald's,2020,8.862752335909564
+McDonald's,2021,11.661887664147438
+Ross Stores,2019,161.23965679301523
+Ross Stores,2020,115.33724799013359
+Ross Stores,2021,161.46063828879196
+"
+US,fundamental,"What is the ratio of Pfizer to Deere & Company in terms of the average of Receivables Turnover from 2019 to 2021? (Use the average of beginning and ending trade receivables) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.761,hard,operational efficiency,Revenue / Average Trade Receivables,"corporate,year,Revenue,TradeReceivables
+Pfizer,2018,53647000000.0,8025000000.0
+Pfizer,2019,51750000000.0,8724000000.0
+Pfizer,2020,41908000000.0,7930000000.0
+Pfizer,2021,81288000000.0,11479000000.0
+Deere & Company,2018,37357700000.0,5004300000.0
+Deere & Company,2019,39258000000.0,5230000000.0
+Deere & Company,2020,35540000000.0,4171000000.0
+Deere & Company,2021,44024000000.0,4208000000.0
+","corporate,year,Receivables Turnover
+Deere & Company,2019,7.671848587592703
+Deere & Company,2020,7.560897776832252
+Deere & Company,2021,10.508175199904523
+Pfizer,2019,6.179473401397098
+Pfizer,2020,5.032784916536568
+Pfizer,2021,8.376320263795147
+"
+US,fundamental,"From 2021 to 2025, how does the minimum of Receivables Turnover for Clorox compare to AutoZone as a ratio? (Use the average of beginning and ending trade receivables) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.3008,hard,operational efficiency,Revenue / Average Trade Receivables,"corporate,year,Revenue,TradeReceivables
+Clorox,2020,6721000000.0,648000000.0
+Clorox,2021,7341000000.0,604000000.0
+Clorox,2022,7107000000.0,681000000.0
+Clorox,2023,7389000000.0,688000000.0
+Clorox,2024,7093000000.0,695000000.0
+Clorox,2025,7104000000.0,821000000.0
+AutoZone,2020,12631967000.0,364774000.0
+AutoZone,2021,14629585000.0,378392000.0
+AutoZone,2022,16252230000.0,504886000.0
+AutoZone,2023,17457209000.0,520385000.0
+AutoZone,2024,18490268000.0,545575000.0
+AutoZone,2025,18938717000.0,670137000.0
+","corporate,year,Receivables Turnover
+AutoZone,2021,39.37097499078268
+AutoZone,2022,36.799807082254965
+AutoZone,2023,34.053843325325694
+AutoZone,2024,34.6922361064205
+AutoZone,2025,31.156584783238134
+Clorox,2021,11.726837060702875
+Clorox,2022,11.06147859922179
+Clorox,2023,10.79474068663258
+Clorox,2024,10.257411424439624
+Clorox,2025,9.37203166226913
+"
+US,fundamental,"Over 2023-2025, what is the ratio of Tyson Foods to Entergy for the minimum of Receivables Turnover? (Use the average of beginning and ending trade receivables) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.4887,hard,operational efficiency,Revenue / Average Trade Receivables,"corporate,year,Revenue,TradeReceivables
+Tyson Foods,2022,53282000000.0,2577000000.0
+Tyson Foods,2023,52881000000.0,2476000000.0
+Tyson Foods,2024,53309000000.0,2406000000.0
+Tyson Foods,2025,54441000000.0,2524000000.0
+Entergy,2022,13764237000.0,1495257000.0
+Entergy,2023,12147412000.0,1393455000.0
+Entergy,2024,11879653000.0,1390399000.0
+Entergy,2025,12946686000.0,1470232000.0
+","corporate,year,Receivables Turnover
+Entergy,2023,8.410261736026298
+Entergy,2024,8.53468105726809
+Entergy,2025,9.051629518102825
+Tyson Foods,2023,20.930536315060362
+Tyson Foods,2024,21.83900040966817
+Tyson Foods,2025,22.085598377281947
+"
+US,fundamental,"Calculate the minimum of Receivables Turnover for Uber and Aptiv separately from 2022 to 2024, and compute the ratio of Uber to Aptiv. (Use the average of beginning and ending trade receivables) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.1434,hard,operational efficiency,Revenue / Average Trade Receivables,"corporate,year,Revenue,TradeReceivables
+Uber,2021,17455000000.0,2439000000.0
+Uber,2022,31877000000.0,2779000000.0
+Uber,2023,37281000000.0,3404000000.0
+Uber,2024,43978000000.0,3333000000.0
+Aptiv,2021,15618000000.0,2784000000.0
+Aptiv,2022,17489000000.0,3433000000.0
+Aptiv,2023,20051000000.0,3546000000.0
+Aptiv,2024,19713000000.0,3261000000.0
+","corporate,year,Receivables Turnover
+Aptiv,2022,5.626186263471127
+Aptiv,2023,5.746095429144576
+Aptiv,2024,5.791978845306303
+Uber,2022,12.218091222690687
+Uber,2023,12.059194565744784
+Uber,2024,13.055662757904111
+"
+US,fundamental,"Comparing the maximum of Payables Turnover from 2023 to 2025, what is the ratio of Abbott Laboratories to Labcorp? (Use the average of beginning and ending trade payables) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.3956,hard,operational efficiency,COGS / Average Trade Payables,"corporate,year,CostOfGoodsAndServicesSold,TradePayables
+Abbott Laboratories,2022,19142000000.0,4607000000.0
+Abbott Laboratories,2023,17975000000.0,4295000000.0
+Abbott Laboratories,2024,18706000000.0,4195000000.0
+Abbott Laboratories,2025,19319000000.0,4240000000.0
+Labcorp,2022,10491700000.0,934800000.0
+Labcorp,2023,8796700000.0,827500000.0
+Labcorp,2024,9384500000.0,875800000.0
+Labcorp,2025,9939200000.0,840800000.0
+","corporate,year,Payables Turnover
+Abbott Laboratories,2023,4.038418332958885
+Abbott Laboratories,2024,4.4065959952885745
+Abbott Laboratories,2025,4.58067575577949
+Labcorp,2023,9.983203767803438
+Labcorp,2024,11.019198027358657
+Labcorp,2025,11.580100198065944
+"
+US,fundamental,"What is the ratio of EPAM Systems to Masco in terms of the maximum of Payables Turnover from 2017 to 2019? (Use the average of beginning and ending trade payables) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",32.3623,hard,operational efficiency,COGS / Average Trade Payables,"corporate,year,CostOfGoodsAndServicesSold,TradePayables
+EPAM Systems,2016,737186000.0,3213000.0
+EPAM Systems,2017,921352000.0,5574000.0
+EPAM Systems,2018,1186921000.0,7444000.0
+EPAM Systems,2019,1488198000.0,7831000.0
+Masco,2016,4901000000.0,800000000.0
+Masco,2017,5033000000.0,824000000.0
+Masco,2018,5670000000.0,926000000.0
+Masco,2019,4336000000.0,697000000.0
+","corporate,year,Payables Turnover
+EPAM Systems,2017,209.70797769432116
+EPAM Systems,2018,182.3507451221386
+EPAM Systems,2019,194.8540752864157
+Masco,2017,6.198275862068965
+Masco,2018,6.48
+Masco,2019,5.343191620455946
+"
+US,fundamental,"From 2021 to 2025, how does the maximum of Payables Turnover for ON Semiconductor compare to Amcor as a ratio? (Use the average of beginning and ending trade payables) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.6386,hard,operational efficiency,COGS / Average Trade Payables,"corporate,year,CostOfGoodsAndServicesSold,TradePayables
+ON Semiconductor,2020,3539200000.0,572900000.0
+ON Semiconductor,2021,4025500000.0,635100000.0
+ON Semiconductor,2022,4249000000.0,852100000.0
+ON Semiconductor,2023,4369500000.0,725600000.0
+ON Semiconductor,2024,3866200000.0,574500000.0
+ON Semiconductor,2025,4011500000.0,572300000.0
+Amcor,2020,9932000000.0,2170800000.0
+Amcor,2021,10129000000.0,2574000000.0
+Amcor,2022,11724000000.0,3073000000.0
+Amcor,2023,11969000000.0,2690000000.0
+Amcor,2024,10928000000.0,2580000000.0
+Amcor,2025,12175000000.0,3490000000.0
+","corporate,year,Payables Turnover
+Amcor,2021,4.269516101837802
+Amcor,2022,4.15229325305472
+Amcor,2023,4.153739371854937
+Amcor,2024,4.147248576850095
+Amcor,2025,4.011532125205931
+ON Semiconductor,2021,6.664735099337748
+ON Semiconductor,2022,5.714093598708983
+ON Semiconductor,2023,5.539075869937251
+ON Semiconductor,2024,5.947542496731021
+ON Semiconductor,2025,6.9959888385071505
+"
+US,fundamental,"Over 2022-2024, what is the ratio of Snap-on to Dollar Tree for the minimum of Payables Turnover? (Use the average of beginning and ending trade payables) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.4173,hard,operational efficiency,COGS / Average Trade Payables,"corporate,year,CostOfGoodsAndServicesSold,TradePayables
+Snap-on,2021,2218900000.0,277600000.0
+Snap-on,2022,2395400000.0,287000000.0
+Snap-on,2023,2488700000.0,238000000.0
+Snap-on,2024,2329500000.0,265900000.0
+Dollar Tree,2021,18583900000.0,1884200000.0
+Dollar Tree,2022,19396300000.0,1899800000.0
+Dollar Tree,2023,21272000000.0,2063800000.0
+Dollar Tree,2024,11284100000.0,1705800000.0
+","corporate,year,Payables Turnover
+Dollar Tree,2022,10.251744186046512
+Dollar Tree,2023,10.7336764557473
+Dollar Tree,2024,5.986895161290323
+Snap-on,2022,8.485299326957138
+Snap-on,2023,9.480761904761906
+Snap-on,2024,9.245882119468149
+"
+US,fundamental,"Calculate the average of Payables Turnover for Visa Inc. and Dell Technologies separately from 2020 to 2024, and compute the ratio of Visa Inc. to Dell Technologies. (Use the average of beginning and ending trade payables) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",5.248,hard,operational efficiency,COGS / Average Trade Payables,"corporate,year,CostOfGoodsAndServicesSold,TradePayables
+Visa Inc.,2019,3444000000.0,156000000.0
+Visa Inc.,2020,3785000000.0,174000000.0
+Visa Inc.,2021,4240000000.0,266000000.0
+Visa Inc.,2022,4990000000.0,340000000.0
+Visa Inc.,2023,5831000000.0,375000000.0
+Visa Inc.,2024,6264000000.0,479000000.0
+Dell Technologies,2019,63221000000.0,20065000000.0
+Dell Technologies,2020,64807000000.0,21696000000.0
+Dell Technologies,2021,79306000000.0,27143000000.0
+Dell Technologies,2022,79615000000.0,18598000000.0
+Dell Technologies,2023,67556000000.0,19389000000.0
+Dell Technologies,2024,74317000000.0,20832000000.0
+","corporate,year,Payables Turnover
+Dell Technologies,2020,3.103709202365844
+Dell Technologies,2021,3.24765044329327
+Dell Technologies,2022,3.4811219693491617
+Dell Technologies,2023,3.5567957459130755
+Dell Technologies,2024,3.6954327341438553
+Visa Inc.,2020,22.939393939393938
+Visa Inc.,2021,19.272727272727273
+Visa Inc.,2022,16.46864686468647
+Visa Inc.,2023,16.31048951048951
+Visa Inc.,2024,14.669789227166277
+"
+US,fundamental,"Comparing the average of Total Asset Turnover from 2020 to 2024, what is the ratio of Kraft Heinz to Charter Communications? (Use the average of beginning and ending total assets) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.774,hard,operational efficiency,Revenue / Average Total Assets,"corporate,year,Revenue,Assets
+Kraft Heinz,2019,24977000000.0,101450000000.0
+Kraft Heinz,2020,26185000000.0,99830000000.0
+Kraft Heinz,2021,26042000000.0,93394000000.0
+Kraft Heinz,2022,26485000000.0,90513000000.0
+Kraft Heinz,2023,26640000000.0,90339000000.0
+Kraft Heinz,2024,25846000000.0,88287000000.0
+Charter Communications,2019,45764000000.0,148188000000.0
+Charter Communications,2020,48097000000.0,144206000000.0
+Charter Communications,2021,51682000000.0,142491000000.0
+Charter Communications,2022,54022000000.0,144523000000.0
+Charter Communications,2023,54607000000.0,147193000000.0
+Charter Communications,2024,55085000000.0,150020000000.0
+","corporate,year,Total Asset Turnover
+Charter Communications,2020,0.32898759892473856
+Charter Communications,2021,0.36053394350132717
+Charter Communications,2022,0.3764415673103054
+Charter Communications,2023,0.3743846755063144
+Charter Communications,2024,0.3706769219381386
+Kraft Heinz,2020,0.26018481717011127
+Kraft Heinz,2021,0.269552436550325
+Kraft Heinz,2022,0.2880260131479498
+Kraft Heinz,2023,0.29460553380664856
+Kraft Heinz,2024,0.2893867634051034
+"
+US,fundamental,"What is the ratio of Aon plc to Jacobs Solutions in terms of the maximum of Total Asset Turnover from 2017 to 2021? (Use the average of beginning and ending total assets) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.2741,hard,operational efficiency,Revenue / Average Total Assets,"corporate,year,Revenue,Assets
+Aon plc,2016,11627000000.0,26615000000.0
+Aon plc,2017,9998000000.0,26088000000.0
+Aon plc,2018,10770000000.0,26422000000.0
+Aon plc,2019,11013000000.0,29405000000.0
+Aon plc,2020,11066000000.0,32114000000.0
+Aon plc,2021,12193000000.0,31917000000.0
+Jacobs Solutions,2016,10964157000.0,7360022000.0
+Jacobs Solutions,2017,10022788000.0,7380859000.0
+Jacobs Solutions,2018,14984646000.0,12645795000.0
+Jacobs Solutions,2019,12737868000.0,11462711000.0
+Jacobs Solutions,2020,13566975000.0,12354353000.0
+Jacobs Solutions,2021,14092632000.0,14632609000.0
+","corporate,year,Total Asset Turnover
+Aon plc,2017,0.37940914179458474
+Aon plc,2018,0.41020757950866504
+Aon plc,2019,0.3945402762104358
+Aon plc,2020,0.35975877371218645
+Aon plc,2021,0.3808467773422249
+Jacobs Solutions,2017,1.3598628195967393
+Jacobs Solutions,2018,1.496470254092371
+Jacobs Solutions,2019,1.0567115191625727
+Jacobs Solutions,2020,1.1392651084113474
+Jacobs Solutions,2021,1.0444029972695703
+"
+US,fundamental,"From 2019 to 2023, how does the CAGR of Total Asset Turnover for Dominion Energy compare to CSX Corporation as a ratio? (Use the average of beginning and ending total assets) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-3.2603,hard,operational efficiency,Revenue / Average Total Assets,"corporate,year,Revenue,Assets
+Dominion Energy,2018,13366000000.0,77914000000.0
+Dominion Energy,2019,16572000000.0,103823000000.0
+Dominion Energy,2020,14172000000.0,95905000000.0
+Dominion Energy,2021,13964000000.0,99590000000.0
+Dominion Energy,2022,17174000000.0,104243000000.0
+Dominion Energy,2023,14393000000.0,109032000000.0
+CSX Corporation,2018,12250000000.0,36729000000.0
+CSX Corporation,2019,11937000000.0,38257000000.0
+CSX Corporation,2020,10583000000.0,39793000000.0
+CSX Corporation,2021,12522000000.0,40531000000.0
+CSX Corporation,2022,14853000000.0,41912000000.0
+CSX Corporation,2023,14657000000.0,42408000000.0
+","corporate,year,Total Asset Turnover
+CSX Corporation,2019,0.31837943082708775
+CSX Corporation,2020,0.2711851377322229
+CSX Corporation,2021,0.31178726159055825
+CSX Corporation,2022,0.3603216767948765
+CSX Corporation,2023,0.3476518026565465
+Dominion Energy,2019,0.1823734297363773
+Dominion Energy,2020,0.1419130016822879
+Dominion Energy,2021,0.14285787360290544
+Dominion Energy,2022,0.1685104963376882
+Dominion Energy,2023,0.13497128120970578
+"
+US,fundamental,"Over 2019-2023, what is the ratio of Regeneron Pharmaceuticals to Emerson Electric for the CAGR of Total Asset Turnover? (Use the average of beginning and ending total assets) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.4306,hard,operational efficiency,Revenue / Average Total Assets,"corporate,year,Revenue,Assets
+Regeneron Pharmaceuticals,2018,6710800000.0,11734500000.0
+Regeneron Pharmaceuticals,2019,7863400000.0,14805200000.0
+Regeneron Pharmaceuticals,2020,8497100000.0,17163300000.0
+Regeneron Pharmaceuticals,2021,16071700000.0,25434800000.0
+Regeneron Pharmaceuticals,2022,12172900000.0,29214500000.0
+Regeneron Pharmaceuticals,2023,13117200000.0,33080200000.0
+Emerson Electric,2018,17408000000.0,20390000000.0
+Emerson Electric,2019,18372000000.0,20497000000.0
+Emerson Electric,2020,16785000000.0,22882000000.0
+Emerson Electric,2021,18236000000.0,24715000000.0
+Emerson Electric,2022,19629000000.0,35672000000.0
+Emerson Electric,2023,15165000000.0,42746000000.0
+","corporate,year,Total Asset Turnover
+Emerson Electric,2019,0.8986719495194071
+Emerson Electric,2020,0.7738767606445515
+Emerson Electric,2021,0.7662667815198437
+Emerson Electric,2022,0.6501068110686075
+Emerson Electric,2023,0.3867734448723507
+Regeneron Pharmaceuticals,2019,0.5925764044054755
+Regeneron Pharmaceuticals,2020,0.5315920359103492
+Regeneron Pharmaceuticals,2021,0.7545735607926175
+Regeneron Pharmaceuticals,2022,0.44549152505155604
+Regeneron Pharmaceuticals,2023,0.4211337401095117
+"
+US,fundamental,"Calculate the minimum of Total Asset Turnover for Fastenal and CDW Corporation separately from 2018 to 2022, and compute the ratio of Fastenal to CDW Corporation. (Use the average of beginning and ending total assets) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.8064,hard,operational efficiency,Revenue / Average Total Assets,"corporate,year,Revenue,Assets
+Fastenal,2017,4390500000.0,2910500000.0
+Fastenal,2018,4965100000.0,3321500000.0
+Fastenal,2019,5333700000.0,3799900000.0
+Fastenal,2020,5647300000.0,3964700000.0
+Fastenal,2021,6010900000.0,4299000000.0
+Fastenal,2022,6980600000.0,4548600000.0
+CDW Corporation,2017,15191500000.0,6956600000.0
+CDW Corporation,2018,16240500000.0,7167700000.0
+CDW Corporation,2019,18032400000.0,7999400000.0
+CDW Corporation,2020,18467500000.0,9344700000.0
+CDW Corporation,2021,20820800000.0,13199400000.0
+CDW Corporation,2022,23748700000.0,13131500000.0
+","corporate,year,Total Asset Turnover
+CDW Corporation,2018,2.2996537881523333
+CDW Corporation,2019,2.3778309630713848
+CDW Corporation,2020,2.1295426110319937
+CDW Corporation,2021,1.8471174276196434
+CDW Corporation,2022,1.8038654204755629
+Fastenal,2018,1.5934210526315788
+Fastenal,2019,1.4979357991406184
+Fastenal,2020,1.4546274115859155
+Fastenal,2021,1.4547720754625653
+Fastenal,2022,1.5779646457796466
+"
+US,fundamental,"Comparing the average of Fixed Asset Turnover from 2023 to 2025, what is the ratio of Take-Two Interactive to Zimmer Biomet? (Use the average of beginning and ending fixed assets) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.6335,hard,operational efficiency,Revenue / Average Net PP&E,"corporate,year,Revenue,PlantPropertyEquipmentNet
+Take-Two Interactive,2022,5349900000.0,402800000.0
+Take-Two Interactive,2023,5349600000.0,411100000.0
+Take-Two Interactive,2024,5633600000.0,443800000.0
+Take-Two Interactive,2025,6656400000.0,445400000.0
+Zimmer Biomet,2022,6939900000.0,1872500000.0
+Zimmer Biomet,2023,7394200000.0,2060400000.0
+Zimmer Biomet,2024,7678600000.0,2048800000.0
+Zimmer Biomet,2025,8231500000.0,2207100000.0
+","corporate,year,Fixed Asset Turnover
+Take-Two Interactive,2023,13.145595281975673
+Take-Two Interactive,2024,13.179553164112761
+Take-Two Interactive,2025,14.97165991902834
+Zimmer Biomet,2023,3.7601769686490885
+Zimmer Biomet,2024,3.73727246179305
+Zimmer Biomet,2025,3.8682769801922037
+"
+US,fundamental,"What is the ratio of Allegion to Royal Caribbean Group in terms of the minimum of Fixed Asset Turnover from 2018 to 2020? (Use the average of beginning and ending fixed assets) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",106.512,hard,operational efficiency,Revenue / Average Net PP&E,"corporate,year,Revenue,PlantPropertyEquipmentNet
+Allegion,2017,2408200000.0,252200000.0
+Allegion,2018,2731700000.0,276700000.0
+Allegion,2019,2854000000.0,291400000.0
+Allegion,2020,2719900000.0,294900000.0
+Royal Caribbean Group,2017,8777845000.0,19735180000.0
+Royal Caribbean Group,2018,9493849000.0,23466163000.0
+Royal Caribbean Group,2019,10950661000.0,25466808000.0
+Royal Caribbean Group,2020,2208805000.0,25246595000.0
+","corporate,year,Fixed Asset Turnover
+Allegion,2018,10.329740971828324
+Allegion,2019,10.047526843865517
+Allegion,2020,9.278185229404741
+Royal Caribbean Group,2018,0.43951638262727155
+Royal Caribbean Group,2019,0.44757801442303596
+Royal Caribbean Group,2020,0.08710931900980891
+"
+US,fundamental,"From 2017 to 2019, how does the average of Fixed Asset Turnover for Equity Residential compare to Zoetis as a ratio? (Use the average of beginning and ending fixed assets) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.1187,hard,operational efficiency,Revenue / Average Net PP&E,"corporate,year,Revenue,PlantPropertyEquipmentNet
+Equity Residential,2016,2425800000.0,5899862000.0
+Equity Residential,2017,2471406000.0,5996024000.0
+Equity Residential,2018,2578434000.0,5875803000.0
+Equity Residential,2019,2701075000.0,5936188000.0
+Zoetis,2016,4888000000.0,1381000000.0
+Zoetis,2017,5307000000.0,1435000000.0
+Zoetis,2018,5825000000.0,1658000000.0
+Zoetis,2019,6260000000.0,1940000000.0
+","corporate,year,Fixed Asset Turnover
+Equity Residential,2017,0.4155059993009348
+Equity Residential,2018,0.43437863439216223
+Equity Residential,2019,0.4573445746783925
+Zoetis,2017,3.7691761363636362
+Zoetis,2018,3.7665696734561913
+Zoetis,2019,3.4797109505280712
+"
+US,fundamental,"Over 2019-2021, what is the ratio of JPMorgan Chase to Digital Realty for the maximum of Fixed Asset Turnover? (Use the average of beginning and ending fixed assets) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.1567,hard,operational efficiency,Revenue / Average Net PP&E,"corporate,year,Revenue,PlantPropertyEquipmentNet
+JPMorgan Chase,2018,12059000000.0,14934000000.0
+JPMorgan Chase,2019,14018000000.0,25813000000.0
+JPMorgan Chase,2020,18021000000.0,27109000000.0
+JPMorgan Chase,2021,16304000000.0,27070000000.0
+Digital Realty,2018,3046478000.0,175108000.0
+Digital Realty,2019,3209241000.0,1287109000.0
+Digital Realty,2020,3903609000.0,1148158000.0
+Digital Realty,2021,4427882000.0,1807689000.0
+","corporate,year,Fixed Asset Turnover
+Digital Realty,2019,4.389555038684409
+Digital Realty,2020,3.205898162295962
+Digital Realty,2021,2.996015693640435
+JPMorgan Chase,2019,0.68805065403588
+JPMorgan Chase,2020,0.6810400211632214
+JPMorgan Chase,2021,0.601856807988335
+"
+US,fundamental,"Calculate the minimum of Fixed Asset Turnover for Amgen and Constellation Energy separately from 2022 to 2024, and compute the ratio of Amgen to Constellation Energy. (Use the average of beginning and ending fixed assets) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",4.5613,hard,operational efficiency,Revenue / Average Net PP&E,"corporate,year,Revenue,PlantPropertyEquipmentNet
+Amgen,2021,25979000000.0,5184000000.0
+Amgen,2022,26323000000.0,5427000000.0
+Amgen,2023,28190000000.0,5941000000.0
+Amgen,2024,33424000000.0,6543000000.0
+Constellation Energy,2021,55588000000.0,19612000000.0
+Constellation Energy,2022,24440000000.0,19822000000.0
+Constellation Energy,2023,24918000000.0,22116000000.0
+Constellation Energy,2024,23568000000.0,21235000000.0
+","corporate,year,Fixed Asset Turnover
+Amgen,2022,4.961455093770615
+Amgen,2023,4.959535538353272
+Amgen,2024,5.354694008330664
+Constellation Energy,2022,1.239539483694274
+Constellation Energy,2023,1.1883256235395108
+Constellation Energy,2024,1.0873105580032756
+"
+US,fundamental,"Comparing the maximum of Working Capital Turnover from 2022 to 2024, what is the ratio of Dayforce to Kimberly-Clark? (Use the average of beginning and ending net working capital) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-0.2265,hard,operational efficiency,Revenue / Average Net Working Capital,"corporate,year,Revenue,CurrentAssetsTotal,CurrentLiabilitiesTotal
+Dayforce,2021,1024200000.0,4144100000.0,3741900000.0
+Dayforce,2022,1246200000.0,4894000000.0,4533500000.0
+Dayforce,2023,1513700000.0,5955200000.0,5334900000.0
+Dayforce,2024,1760000000.0,5983500000.0,5314800000.0
+Kimberly-Clark,2021,19440000000.0,5565000000.0,6749000000.0
+Kimberly-Clark,2022,20175000000.0,5729000000.0,7334000000.0
+Kimberly-Clark,2023,20431000000.0,5703000000.0,6930000000.0
+Kimberly-Clark,2024,20058000000.0,5580000000.0,7004000000.0
+","corporate,year,Working Capital Turnover
+Dayforce,2022,3.2678641667759276
+Dayforce,2023,3.086663947797716
+Dayforce,2024,2.730799069045772
+Kimberly-Clark,2022,-14.467551093581928
+Kimberly-Clark,2023,-14.42867231638418
+Kimberly-Clark,2024,-15.132402866842702
+"
+US,fundamental,"What is the ratio of Pinnacle West Capital to Tyler Technologies in terms of the minimum of Working Capital Turnover from 2018 to 2022? (Use the average of beginning and ending net working capital) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-12.8174,hard,operational efficiency,Revenue / Average Net Working Capital,"corporate,year,Revenue,CurrentAssetsTotal,CurrentLiabilitiesTotal
+Pinnacle West Capital,2017,3565296000.0,1016288000.0,1197852000.0
+Pinnacle West Capital,2018,3691247000.0,924991000.0,1648964000.0
+Pinnacle West Capital,2019,3471209000.0,1030030000.0,2078365000.0
+Pinnacle West Capital,2020,3586982000.0,1198319000.0,1360433000.0
+Pinnacle West Capital,2021,3803835000.0,1551100000.0,1756869000.0
+Pinnacle West Capital,2022,4324385000.0,1750554000.0,1762141000.0
+Tyler Technologies,2017,840662000.0,496800000.0,382310000.0
+Tyler Technologies,2018,935282000.0,518858000.0,423902000.0
+Tyler Technologies,2019,1086427000.0,679697000.0,509093000.0
+Tyler Technologies,2020,1116663000.0,1113070000.0,564277000.0
+Tyler Technologies,2021,1592287000.0,964331000.0,829501000.0
+Tyler Technologies,2022,1850204000.0,847242000.0,889695000.0
+","corporate,year,Working Capital Turnover
+Pinnacle West Capital,2018,-8.15261441553465
+Pinnacle West Capital,2019,-3.9171622539648863
+Pinnacle West Capital,2020,-5.926696622492976
+Pinnacle West Capital,2021,-20.679591065637716
+Pinnacle West Capital,2022,-39.790804026573916
+Tyler Technologies,2018,8.931008469963619
+Tyler Technologies,2019,8.182158457599035
+Tyler Technologies,2020,3.1044416365372665
+Tyler Technologies,2021,4.658377497538848
+Tyler Technologies,2022,40.05767669441528
+"
+US,fundamental,"From 2018 to 2020, how does the average of Working Capital Turnover for Comcast compare to Waste Management as a ratio? (Use the average of beginning and ending net working capital) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",12.7907,hard,operational efficiency,Revenue / Average Net Working Capital,"corporate,year,Revenue,CurrentAssetsTotal,CurrentLiabilitiesTotal
+Comcast,2017,84526000000.0,16060000000.0,21561000000.0
+Comcast,2018,94507000000.0,21848000000.0,27603000000.0
+Comcast,2019,108942000000.0,25392000000.0,30292000000.0
+Comcast,2020,103564000000.0,26741000000.0,28796000000.0
+Waste Management,2017,14485000000.0,2624000000.0,3262000000.0
+Waste Management,2018,14914000000.0,2645000000.0,3108000000.0
+Waste Management,2019,15455000000.0,6209000000.0,3144000000.0
+Waste Management,2020,15218000000.0,3540000000.0,3553000000.0
+","corporate,year,Working Capital Turnover
+Comcast,2018,-16.79228855721393
+Comcast,2019,-20.448991083998123
+Comcast,2020,-29.78116462976276
+Waste Management,2018,-27.091734786557677
+Waste Management,2019,11.879323597232897
+Waste Management,2020,9.972477064220184
+"
+US,fundamental,"Over 2017-2021, what is the ratio of Moody's Corporation to Campbell's Company (The) for the average of Working Capital Turnover? (Use the average of beginning and ending net working capital) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-0.3454,hard,operational efficiency,Revenue / Average Net Working Capital,"corporate,year,Revenue,CurrentAssetsTotal,CurrentLiabilitiesTotal
+Moody's Corporation,2016,3604200000.0,3253100000.0,2428200000.0
+Moody's Corporation,2017,4204100000.0,2580600000.0,2063300000.0
+Moody's Corporation,2018,4442700000.0,3386900000.0,2098500000.0
+Moody's Corporation,2019,4829000000.0,3679000000.0,1912000000.0
+Moody's Corporation,2020,5371000000.0,4509000000.0,2222000000.0
+Moody's Corporation,2021,6218000000.0,4011000000.0,2496000000.0
+Campbell's Company (The),2016,7961000000.0,1908000000.0,2555000000.0
+Campbell's Company (The),2017,7890000000.0,1900000000.0,2395000000.0
+Campbell's Company (The),2018,8685000000.0,2296000000.0,3594000000.0
+Campbell's Company (The),2019,8107000000.0,1967000000.0,3385000000.0
+Campbell's Company (The),2020,8691000000.0,2385000000.0,3075000000.0
+Campbell's Company (The),2021,8476000000.0,1695000000.0,1814000000.0
+","corporate,year,Working Capital Turnover
+Campbell's Company (The),2017,-13.81786339754816
+Campbell's Company (The),2018,-9.687674288901283
+Campbell's Company (The),2019,-5.9698085419734905
+Campbell's Company (The),2020,-8.24573055028463
+Campbell's Company (The),2021,-20.95426452410383
+Moody's Corporation,2017,6.264491133959171
+Moody's Corporation,2018,4.920750955308191
+Moody's Corporation,2019,3.1609609216469203
+Moody's Corporation,2020,2.649728663048841
+Moody's Corporation,2021,3.2709100473435035
+"
+US,fundamental,"Calculate the minimum of Working Capital Turnover for Cooper Companies (The) and Brown & Brown separately from 2021 to 2025, and compute the ratio of Cooper Companies (The) to Brown & Brown. (Use the average of beginning and ending net working capital) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.8838,hard,operational efficiency,Revenue / Average Net Working Capital,"corporate,year,Revenue,CurrentAssetsTotal,CurrentLiabilitiesTotal
+Cooper Companies (The),2020,2430900000.0,1274200000.0,1004400000.0
+Cooper Companies (The),2021,2922500000.0,1465300000.0,732100000.0
+Cooper Companies (The),2022,3308400000.0,1533600000.0,1280200000.0
+Cooper Companies (The),2023,3593200000.0,1704900000.0,969000000.0
+Cooper Companies (The),2024,3895400000.0,1951500000.0,1022800000.0
+Cooper Companies (The),2025,4092400000.0,2106400000.0,1112800000.0
+Brown & Brown,2020,2613375000.0,2958249000.0,2354352000.0
+Brown & Brown,2021,3051398000.0,3330284000.0,2667366000.0
+Brown & Brown,2022,3573400000.0,4996000000.0,4596600000.0
+Brown & Brown,2023,4257100000.0,5129900000.0,4956900000.0
+Brown & Brown,2024,4805000000.0,6924000000.0,6314000000.0
+Brown & Brown,2025,5902000000.0,8614000000.0,8294000000.0
+","corporate,year,Working Capital Turnover
+Brown & Brown,2021,4.817432695381725
+Brown & Brown,2022,6.727552390150596
+Brown & Brown,2023,14.87456324248777
+Brown & Brown,2024,12.27330779054917
+Brown & Brown,2025,12.69247311827957
+Cooper Companies (The),2021,5.827517447657029
+Cooper Companies (The),2022,6.706669369551997
+Cooper Companies (The),2023,7.264126149802891
+Cooper Companies (The),2024,4.680283551603989
+Cooper Companies (The),2025,4.257816157727722
+"
+US,fundamental,"Comparing the maximum of Current Ratio from 2019 to 2021, what is the ratio of Keurig Dr Pepper to MSCI Inc.? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.204,hard,solvency,Current Assets / Current Liabilities,"corporate,year,CurrentAssetsTotal,CurrentLiabilitiesTotal
+Keurig Dr Pepper,2019,2273000000.0,6474000000.0
+Keurig Dr Pepper,2020,2388000000.0,7694000000.0
+Keurig Dr Pepper,2021,3057000000.0,6485000000.0
+MSCI Inc.,2019,2081777000.0,900786000.0
+MSCI Inc.,2020,1925598000.0,1021769000.0
+MSCI Inc.,2021,2143410000.0,1250937000.0
+","corporate,year,Current Ratio
+Keurig Dr Pepper,2019,0.35109669447018843
+Keurig Dr Pepper,2020,0.31037171822199117
+Keurig Dr Pepper,2021,0.47139552814186586
+MSCI Inc.,2019,2.311067223513687
+MSCI Inc.,2020,1.884572736107672
+MSCI Inc.,2021,1.7134436026754345
+"
+US,fundamental,"What is the ratio of Republic Services to Cigna in terms of the average of Current Ratio from 2020 to 2024? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.8161,hard,solvency,Current Assets / Current Liabilities,"corporate,year,CurrentAssetsTotal,CurrentLiabilitiesTotal
+Republic Services,2020,1521800000.0,2282000000.0
+Republic Services,2021,1710800000.0,2415600000.0
+Republic Services,2022,2357100000.0,3390700000.0
+Republic Services,2023,2381000000.0,4228300000.0
+Republic Services,2024,2406000000.0,4128000000.0
+Cigna,2020,27799000000.0,36022000000.0
+Cigna,2021,36134000000.0,43572000000.0
+Cigna,2022,30120000000.0,41229000000.0
+Cigna,2023,37351000000.0,48716000000.0
+Cigna,2024,48870000000.0,57979000000.0
+","corporate,year,Current Ratio
+Cigna,2020,0.7717228360446394
+Cigna,2021,0.8292940420453502
+Cigna,2022,0.7305537364476461
+Cigna,2023,0.7667090894162082
+Cigna,2024,0.8428913917107919
+Republic Services,2020,0.6668711656441718
+Republic Services,2021,0.7082298393773804
+Republic Services,2022,0.6951661898722977
+Republic Services,2023,0.563110469928813
+Republic Services,2024,0.5828488372093024
+"
+US,fundamental,"From 2020 to 2022, how does the maximum of Current Ratio for Trimble Inc. compare to PTC Inc. as a ratio? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.8863,hard,solvency,Current Assets / Current Liabilities,"corporate,year,CurrentAssetsTotal,CurrentLiabilitiesTotal
+Trimble Inc.,2020,1281400000.0,1311300000.0
+Trimble Inc.,2021,1450600000.0,1188600000.0
+Trimble Inc.,2022,1518200000.0,1462100000.0
+PTC Inc.,2020,833447000.0,680760000.0
+PTC Inc.,2021,1073010000.0,779282000.0
+PTC Inc.,2022,1068657000.0,792258000.0
+","corporate,year,Current Ratio
+PTC Inc.,2020,1.2242890299077502
+PTC Inc.,2021,1.3769213198816346
+PTC Inc.,2022,1.348874987693403
+Trimble Inc.,2020,0.9771982002592847
+Trimble Inc.,2021,1.2204273935722698
+Trimble Inc.,2022,1.038369468572601
+"
+US,fundamental,"Over 2022-2024, what is the ratio of Biogen to Cintas for the average of Current Ratio? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.062,hard,solvency,Current Assets / Current Liabilities,"corporate,year,CurrentAssetsTotal,CurrentLiabilitiesTotal
+Biogen,2022,9791200000.0,3272800000.0
+Biogen,2023,6859300000.0,3434300000.0
+Biogen,2024,7456800000.0,5528800000.0
+Cintas,2022,2631983000.0,1432890000.0
+Cintas,2023,2938459000.0,1230062000.0
+Cintas,2024,3185207000.0,1828519000.0
+","corporate,year,Current Ratio
+Biogen,2022,2.9916890735761426
+Biogen,2023,1.997292024575605
+Biogen,2024,1.3487194327883085
+Cintas,2022,1.8368353467467844
+Cintas,2023,2.3888706422928276
+Cintas,2024,1.7419600233850454
+"
+US,fundamental,"Calculate the average of Current Ratio for Lululemon Athletica and Paycom separately from 2019 to 2021, and compute the ratio of Lululemon Athletica to Paycom. According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.1865,hard,solvency,Current Assets / Current Liabilities,"corporate,year,CurrentAssetsTotal,CurrentLiabilitiesTotal
+Lululemon Athletica,2019,1807938000.0,620418000.0
+Lululemon Athletica,2020,2124379000.0,883178000.0
+Lululemon Athletica,2021,2614853000.0,1405334000.0
+Paycom,2019,1871100000.0,1753522000.0
+Paycom,2020,1864605000.0,1718030000.0
+Paycom,2021,2252038000.0,1990410000.0
+","corporate,year,Current Ratio
+Lululemon Athletica,2019,2.914064388847519
+Lululemon Athletica,2020,2.4053803423545426
+Lululemon Athletica,2021,1.8606630167632747
+Paycom,2019,1.0670524806646282
+Paycom,2020,1.0853157395388904
+Paycom,2021,1.1314442753000638
+"
+US,fundamental,"Comparing the maximum of Quick Ratio from 2016 to 2020, what is the ratio of Seagate Technology to Emcor? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0751,hard,solvency,(Current Assets - Inventory) / Current Liabilities,"corporate,year,CurrentAssetsTotal,CurrentLiabilitiesTotal,Inventories
+Seagate Technology,2016,3533000000.0,2249000000.0,868000000.0
+Seagate Technology,2017,5041000000.0,2626000000.0,982000000.0
+Seagate Technology,2018,4310000000.0,3190000000.0,1053000000.0
+Seagate Technology,2019,4363000000.0,2232000000.0,970000000.0
+Seagate Technology,2020,4114000000.0,2722000000.0,1142000000.0
+Emcor,2016,2210847000.0,1511774000.0,37426000.0
+Emcor,2017,2284509000.0,1650952000.0,42724000.0
+Emcor,2018,2386207000.0,1734398000.0,42321000.0
+Emcor,2019,2659883000.0,1938610000.0,40446000.0
+Emcor,2020,3120936000.0,2163232000.0,53338000.0
+","corporate,year,Quick Ratio
+Emcor,2016,1.4376626400506953
+Emcor,2017,1.3578741235359961
+Emcor,2018,1.3514118443402263
+Emcor,2019,1.3511933808244052
+Emcor,2020,1.4180624177157142
+Seagate Technology,2016,1.1849710982658959
+Seagate Technology,2017,1.5456968773800457
+Seagate Technology,2018,1.0210031347962383
+Seagate Technology,2019,1.5201612903225807
+Seagate Technology,2020,1.091844232182219
+"
+US,fundamental,"What is the ratio of Monster Beverage to Dow Inc. in terms of the maximum of Quick Ratio from 2023 to 2025? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.1832,hard,solvency,(Current Assets - Inventory) / Current Liabilities,"corporate,year,CurrentAssetsTotal,CurrentLiabilitiesTotal,Inventories
+Monster Beverage,2023,5588996000.0,1161689000.0,971406000.0
+Monster Beverage,2024,3641504000.0,1097519000.0,737107000.0
+Monster Beverage,2025,5361084000.0,1447780000.0,799623000.0
+Dow Inc.,2023,17614000000.0,9957000000.0,6076000000.0
+Dow Inc.,2024,16590000000.0,10288000000.0,6544000000.0
+Dow Inc.,2025,18062000000.0,9183000000.0,6595000000.0
+","corporate,year,Quick Ratio
+Dow Inc.,2023,1.1587827658933414
+Dow Inc.,2024,0.9764774494556765
+Dow Inc.,2025,1.2487204617227485
+Monster Beverage,2023,3.9748934525505537
+Monster Beverage,2024,2.64632958518258
+Monster Beverage,2025,3.150658939894183
+"
+US,fundamental,"From 2022 to 2024, how does the average of Quick Ratio for Procter & Gamble compare to Mettler Toledo as a ratio? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.6233,hard,solvency,(Current Assets - Inventory) / Current Liabilities,"corporate,year,CurrentAssetsTotal,CurrentLiabilitiesTotal,Inventories
+Procter & Gamble,2022,21653000000.0,33081000000.0,6924000000.0
+Procter & Gamble,2023,22648000000.0,35756000000.0,7073000000.0
+Procter & Gamble,2024,24709000000.0,33627000000.0,7016000000.0
+Mettler Toledo,2022,1375089000.0,1147731000.0,441694000.0
+Mettler Toledo,2023,1230203000.0,1181082000.0,385865000.0
+Mettler Toledo,2024,1193906000.0,1168193000.0,342274000.0
+","corporate,year,Quick Ratio
+Mettler Toledo,2022,0.813252408447624
+Mettler Toledo,2023,0.7148851646202381
+Mettler Toledo,2024,0.7290165238107059
+Procter & Gamble,2022,0.44524047036062997
+Procter & Gamble,2023,0.4355912294440094
+Procter & Gamble,2024,0.5261545781663545
+"
+US,fundamental,"Over 2021-2025, what is the ratio of Genuine Parts Company to PPL Corporation for the minimum of Quick Ratio? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.7305,hard,solvency,(Current Assets - Inventory) / Current Liabilities,"corporate,year,CurrentAssetsTotal,CurrentLiabilitiesTotal,Inventories
+Genuine Parts Company,2021,7756422000.0,6581583000.0,3889919000.0
+Genuine Parts Company,2022,8816739000.0,7686110000.0,4441649000.0
+Genuine Parts Company,2023,9605852000.0,7827109000.0,4676686000.0
+Genuine Parts Company,2024,9852584000.0,8525380000.0,5514427000.0
+Genuine Parts Company,2025,10564734000.0,9787705000.0,6071996000.0
+PPL Corporation,2021,5007000000.0,2323000000.0,322000000.0
+PPL Corporation,2022,2824000000.0,3789000000.0,443000000.0
+PPL Corporation,2023,2932000000.0,3340000000.0,505000000.0
+PPL Corporation,2024,2880000000.0,3333000000.0,511000000.0
+PPL Corporation,2025,3931000000.0,4546000000.0,551000000.0
+","corporate,year,Quick Ratio
+Genuine Parts Company,2021,0.5874731048746176
+Genuine Parts Company,2022,0.5692203208124786
+Genuine Parts Company,2023,0.6297556351904643
+Genuine Parts Company,2024,0.5088520394398842
+Genuine Parts Company,2025,0.4590185339668492
+PPL Corporation,2021,2.0167886353852778
+PPL Corporation,2022,0.6283979941937187
+PPL Corporation,2023,0.7266467065868264
+PPL Corporation,2024,0.7107710771077108
+PPL Corporation,2025,0.7435107787065552
+"
+US,fundamental,"Calculate the minimum of Quick Ratio for Zoetis and Alliant Energy separately from 2020 to 2022, and compute the ratio of Zoetis to Alliant Energy. According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.5013,hard,solvency,(Current Assets - Inventory) / Current Liabilities,"corporate,year,CurrentAssetsTotal,CurrentLiabilitiesTotal,Inventories
+Zoetis,2020,6611000000.0,2170000000.0,1628000000.0
+Zoetis,2021,6930000000.0,1797000000.0,1923000000.0
+Zoetis,2022,7506000000.0,3167000000.0,2345000000.0
+Alliant Energy,2020,887000000.0,1297000000.0,105000000.0
+Alliant Energy,2021,1069000000.0,2054000000.0,113000000.0
+Alliant Energy,2022,1250000000.0,2363000000.0,140000000.0
+","corporate,year,Quick Ratio
+Alliant Energy,2020,0.6029298380878951
+Alliant Energy,2021,0.46543330087633883
+Alliant Energy,2022,0.46974185357596276
+Zoetis,2020,2.2963133640552997
+Zoetis,2021,2.7863105175292153
+Zoetis,2022,1.6296179349542153
+"
+US,fundamental,"Comparing the maximum of Cash Ratio from 2022 to 2024, what is the ratio of S&P Global to Ford Motor Company? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.5798,hard,solvency,(Cash + Short-Term Investments) / Current Liabilities,"corporate,year,CashAndMarketableSecurities,ShortTermInvestments,CurrentLiabilitiesTotal
+S&P Global,2022,1286000000.0,14000000.0,5999000000.0
+S&P Global,2023,1290000000.0,26000000.0,6125000000.0
+S&P Global,2024,1666000000.0,20000000.0,6392000000.0
+Ford Motor Company,2022,25134000000.0,18936000000.0,96866000000.0
+Ford Motor Company,2023,24862000000.0,15309000000.0,101531000000.0
+Ford Motor Company,2024,22935000000.0,15413000000.0,106859000000.0
+","corporate,year,Cash Ratio
+Ford Motor Company,2022,0.4549583961348667
+Ford Motor Company,2023,0.3956525593168589
+Ford Motor Company,2024,0.3588654207881414
+S&P Global,2022,0.21670278379729954
+S&P Global,2023,0.21485714285714286
+S&P Global,2024,0.2637672090112641
+"
+US,fundamental,"What is the ratio of Nvidia to Johnson & Johnson in terms of the average of Cash Ratio from 2016 to 2018? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",8.2492,hard,solvency,(Cash + Short-Term Investments) / Current Liabilities,"corporate,year,CashAndMarketableSecurities,ShortTermInvestments,CurrentLiabilitiesTotal
+Nvidia,2016,1766000000.0,5032000000.0,1788000000.0
+Nvidia,2017,4002000000.0,3106000000.0,1153000000.0
+Nvidia,2018,782000000.0,6640000000.0,1329000000.0
+Johnson & Johnson,2016,18972000000.0,0.0,26287000000.0
+Johnson & Johnson,2017,17824000000.0,0.0,30537000000.0
+Johnson & Johnson,2018,18107000000.0,0.0,31230000000.0
+","corporate,year,Cash Ratio
+Johnson & Johnson,2016,0.7217255677711416
+Johnson & Johnson,2017,0.5836853652945607
+Johnson & Johnson,2018,0.5797950688440602
+Nvidia,2016,3.802013422818792
+Nvidia,2017,6.1647875108412835
+Nvidia,2018,5.584650112866817
+"
+US,fundamental,"From 2016 to 2018, how does the minimum of Cash Ratio for Hubbell Incorporated compare to Cadence Design Systems as a ratio? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.3139,hard,solvency,(Cash + Short-Term Investments) / Current Liabilities,"corporate,year,CashAndMarketableSecurities,ShortTermInvestments,CurrentLiabilitiesTotal
+Hubbell Incorporated,2016,437600000.0,11200000.0,589600000.0
+Hubbell Incorporated,2017,375000000.0,14500000.0,706100000.0
+Hubbell Incorporated,2018,189000000.0,9200000.0,839300000.0
+Cadence Design Systems,2016,465232000.0,3057000.0,585562000.0
+Cadence Design Systems,2017,688087000.0,4455000.0,642398000.0
+Cadence Design Systems,2018,533298000.0,0.0,708982000.0
+","corporate,year,Cash Ratio
+Cadence Design Systems,2016,0.7997257335687766
+Cadence Design Systems,2017,1.0780575281990292
+Cadence Design Systems,2018,0.7522024536589081
+Hubbell Incorporated,2016,0.7611940298507462
+Hubbell Incorporated,2017,0.5516215833451352
+Hubbell Incorporated,2018,0.23614917192898843
+"
+US,fundamental,"Over 2021-2023, what is the ratio of Tyler Technologies to ConocoPhillips for the average of Cash Ratio? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.5366,hard,solvency,(Cash + Short-Term Investments) / Current Liabilities,"corporate,year,CashAndMarketableSecurities,ShortTermInvestments,CurrentLiabilitiesTotal
+Tyler Technologies,2021,309171000.0,52300000.0,829501000.0
+Tyler Technologies,2022,173857000.0,37030000.0,889695000.0
+Tyler Technologies,2023,165493000.0,10385000.0,1001138000.0
+ConocoPhillips,2021,5028000000.0,0.0,12021000000.0
+ConocoPhillips,2022,6458000000.0,0.0,12847000000.0
+ConocoPhillips,2023,5635000000.0,971000000.0,10005000000.0
+","corporate,year,Cash Ratio
+ConocoPhillips,2021,0.41826803094584475
+ConocoPhillips,2022,0.5026854518564645
+ConocoPhillips,2023,0.6602698650674663
+Tyler Technologies,2021,0.43576921546809466
+Tyler Technologies,2022,0.237032915774507
+Tyler Technologies,2023,0.1756780783468413
+"
+US,fundamental,"Calculate the minimum of Cash Ratio for Take-Two Interactive and Coca-Cola Company (The) separately from 2019 to 2021, and compute the ratio of Take-Two Interactive to Coca-Cola Company (The). According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.37,hard,solvency,(Cash + Short-Term Investments) / Current Liabilities,"corporate,year,CashAndMarketableSecurities,ShortTermInvestments,CurrentLiabilitiesTotal
+Take-Two Interactive,2019,1357664000.0,644003000.0,2038539000.0
+Take-Two Interactive,2020,1422884000.0,1308692000.0,2234715000.0
+Take-Two Interactive,2021,1732047000.0,820060000.0,2104964000.0
+Coca-Cola Company (The),2019,7947000000.0,3228000000.0,26973000000.0
+Coca-Cola Company (The),2020,8566000000.0,2348000000.0,14601000000.0
+Coca-Cola Company (The),2021,10926000000.0,0.0,19950000000.0
+","corporate,year,Cash Ratio
+Coca-Cola Company (The),2019,0.4143031920809699
+Coca-Cola Company (The),2020,0.7474830491062256
+Coca-Cola Company (The),2021,0.5476691729323309
+Take-Two Interactive,2019,0.9819125363802214
+Take-Two Interactive,2020,1.2223375240243164
+Take-Two Interactive,2021,1.212423110323977
+"
+US,fundamental,"Comparing the minimum of Liability-to-Asset Ratio from 2020 to 2022, what is the ratio of Exelon to Medtronic? (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.7368,hard,solvency,Total Liabilities / Total Assets * 100%,"corporate,year,Liabilities,Assets
+Exelon,2020,94449000000.0,129317000000.0
+Exelon,2021,98218000000.0,133013000000.0
+Exelon,2022,70605000000.0,95349000000.0
+Medtronic,2020,39817000000.0,90689000000.0
+Medtronic,2021,41481000000.0,93083000000.0
+Medtronic,2022,38260000000.0,90981000000.0
+","corporate,year,Liability-to-Asset Ratio
+Exelon,2020,73.03680103930651
+Exelon,2021,73.84090276890228
+Exelon,2022,74.04901991630746
+Medtronic,2020,43.90499399045088
+Medtronic,2021,44.563454121590404
+Medtronic,2022,42.052736285598094
+"
+US,fundamental,"What is the ratio of J.B. Hunt to RTX Corporation in terms of the average of Liability-to-Asset Ratio from 2021 to 2025? (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.9107,hard,solvency,Total Liabilities / Total Assets * 100%,"corporate,year,Liabilities,Assets
+J.B. Hunt,2021,3676532000.0,6794348000.0
+J.B. Hunt,2022,4119814000.0,7786582000.0
+J.B. Hunt,2023,4434502000.0,8538260000.0
+J.B. Hunt,2024,4297765000.0,8312270000.0
+J.B. Hunt,2025,4362070000.0,7927155000.0
+RTX Corporation,2021,86705000000.0,161404000000.0
+RTX Corporation,2022,84650000000.0,158864000000.0
+RTX Corporation,2023,100424000000.0,161869000000.0
+RTX Corporation,2024,100903000000.0,162861000000.0
+RTX Corporation,2025,103941000000.0,171079000000.0
+","corporate,year,Liability-to-Asset Ratio
+J.B. Hunt,2021,54.11162336695147
+J.B. Hunt,2022,52.90914550183893
+J.B. Hunt,2023,51.93683490547254
+J.B. Hunt,2024,51.70386669345437
+J.B. Hunt,2025,55.02692958570887
+RTX Corporation,2021,53.71923868057793
+RTX Corporation,2022,53.28457045019639
+RTX Corporation,2023,62.0402918409331
+RTX Corporation,2024,61.95651506499408
+RTX Corporation,2025,60.75614189935644
+"
+US,fundamental,"From 2016 to 2018, how does the minimum of Liability-to-Asset Ratio for Truist Financial compare to Intuitive Surgical as a ratio? (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",7.8996,hard,solvency,Total Liabilities / Total Assets * 100%,"corporate,year,Liabilities,Assets
+Truist Financial,2016,189350000000.0,219276000000.0
+Truist Financial,2017,191947000000.0,221642000000.0
+Truist Financial,2018,195519000000.0,225697000000.0
+Intuitive Surgical,2016,709100000.0,6486900000.0
+Intuitive Surgical,2017,1031200000.0,5758000000.0
+Intuitive Surgical,2018,1159200000.0,7846700000.0
+","corporate,year,Liability-to-Asset Ratio
+Intuitive Surgical,2016,10.931261465414913
+Intuitive Surgical,2017,17.908996179228897
+Intuitive Surgical,2018,14.773089324174492
+Truist Financial,2016,86.35235958335613
+Truist Financial,2017,86.60226852311385
+Truist Financial,2018,86.62897601651773
+"
+US,fundamental,"Over 2021-2025, what is the ratio of Microsoft to Waste Management for the minimum of Liability-to-Asset Ratio? (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.5895,hard,solvency,Total Liabilities / Total Assets * 100%,"corporate,year,Liabilities,Assets
+Microsoft,2021,191791000000.0,333779000000.0
+Microsoft,2022,198298000000.0,364840000000.0
+Microsoft,2023,205753000000.0,411976000000.0
+Microsoft,2024,243686000000.0,512163000000.0
+Microsoft,2025,275524000000.0,619003000000.0
+Waste Management,2021,21971000000.0,29097000000.0
+Waste Management,2022,24503000000.0,31367000000.0
+Waste Management,2023,25927000000.0,32823000000.0
+Waste Management,2024,36313000000.0,44567000000.0
+Waste Management,2025,35844000000.0,45835000000.0
+","corporate,year,Liability-to-Asset Ratio
+Microsoft,2021,57.46047534446445
+Microsoft,2022,54.35204473193729
+Microsoft,2023,49.9429578422044
+Microsoft,2024,47.5797744077569
+Microsoft,2025,44.5109312878936
+Waste Management,2021,75.50950269787263
+Waste Management,2022,78.11712946727452
+Waste Management,2023,78.99034213813484
+Waste Management,2024,81.47957008548926
+Waste Management,2025,78.20224719101122
+"
+US,fundamental,"Calculate the minimum of Liability-to-Asset Ratio for GE Aerospace and Cognizant separately from 2019 to 2023, and compute the ratio of GE Aerospace to Cognizant. (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.7808,hard,solvency,Total Liabilities / Total Assets * 100%,"corporate,year,Liabilities,Assets
+GE Aerospace,2019,236187000000.0,266048000000.0
+GE Aerospace,2020,216378000000.0,253452000000.0
+GE Aerospace,2021,157262000000.0,198874000000.0
+GE Aerospace,2022,150206000000.0,187788000000.0
+GE Aerospace,2023,134466000000.0,163045000000.0
+Cognizant,2019,5182000000.0,16204000000.0
+Cognizant,2020,6087000000.0,16923000000.0
+Cognizant,2021,5861000000.0,17852000000.0
+Cognizant,2022,5543000000.0,17852000000.0
+Cognizant,2023,5256000000.0,18483000000.0
+","corporate,year,Liability-to-Asset Ratio
+Cognizant,2019,31.979758084423597
+Cognizant,2020,35.96879985818117
+Cognizant,2021,32.831055343939056
+Cognizant,2022,31.049742325789826
+Cognizant,2023,28.436942054861227
+GE Aerospace,2019,88.7760855184027
+GE Aerospace,2020,85.37237820178969
+GE Aerospace,2021,79.0761990003721
+GE Aerospace,2022,79.98700662449146
+GE Aerospace,2023,82.47171026403754
+"
+US,fundamental,"Comparing the average of Liability-to-Equity Ratio from 2017 to 2021, what is the ratio of Ecolab to Vertex Pharmaceuticals? (Indicator unit: %; Total equity includes minority interest) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.7949,hard,solvency,Total Liabilities / Total Equity * 100%,"corporate,year,Liabilities,AllEquityBalanceIncludingMinorityInterest
+Ecolab,2017,12273700000.0,7688700000.0
+Ecolab,2018,12020900000.0,8053600000.0
+Ecolab,2019,12143300000.0,8725800000.0
+Ecolab,2020,11924500000.0,6201500000.0
+Ecolab,2021,13953300000.0,7253100000.0
+Vertex Pharmaceuticals,2017,1503708000.0,2042306000.0
+Vertex Pharmaceuticals,2018,1810695000.0,4435203000.0
+Vertex Pharmaceuticals,2019,2233221000.0,6085244000.0
+Vertex Pharmaceuticals,2020,3064993000.0,8686815000.0
+Vertex Pharmaceuticals,2021,3332500000.0,10100000000.0
+","corporate,year,Liability-to-Equity Ratio
+Ecolab,2017,159.63296786192726
+Ecolab,2018,149.2611999602662
+Ecolab,2019,139.16546333860506
+Ecolab,2020,192.28412480851406
+Ecolab,2021,192.37705257062498
+Vertex Pharmaceuticals,2017,73.62794801562548
+Vertex Pharmaceuticals,2018,40.82552703901039
+Vertex Pharmaceuticals,2019,36.69895570333745
+Vertex Pharmaceuticals,2020,35.28327701234572
+Vertex Pharmaceuticals,2021,32.995049504950494
+"
+US,fundamental,"What is the ratio of Interactive Brokers to Truist Financial in terms of the maximum of Liability-to-Equity Ratio from 2019 to 2023? (Indicator unit: %; Total equity includes minority interest) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.1838,hard,solvency,Total Liabilities / Total Equity * 100%,"corporate,year,Liabilities,AllEquityBalanceIncludingMinorityInterest
+Interactive Brokers,2019,63736000000.0,7940000000.0
+Interactive Brokers,2020,86676000000.0,9003000000.0
+Interactive Brokers,2021,98891000000.0,10222000000.0
+Interactive Brokers,2022,103528000000.0,11615000000.0
+Interactive Brokers,2023,114356000000.0,14067000000.0
+Truist Financial,2019,406520000000.0,66558000000.0
+Truist Financial,2020,438316000000.0,70912000000.0
+Truist Financial,2021,471970000000.0,69271000000.0
+Truist Financial,2022,494718000000.0,60537000000.0
+Truist Financial,2023,476096000000.0,59253000000.0
+","corporate,year,Liability-to-Equity Ratio
+Interactive Brokers,2019,802.7204030226701
+Interactive Brokers,2020,962.7457514161947
+Interactive Brokers,2021,967.4329876736451
+Interactive Brokers,2022,891.3301764959105
+Interactive Brokers,2023,812.9380820359706
+Truist Financial,2019,610.7755641695965
+Truist Financial,2020,618.1125902527076
+Truist Financial,2021,681.3385110652366
+Truist Financial,2022,817.2159175380345
+Truist Financial,2023,803.4968693568258
+"
+US,fundamental,"From 2018 to 2022, how does the average of Liability-to-Equity Ratio for Parker Hannifin compare to Cooper Companies (The) as a ratio? (Indicator unit: %; Total equity includes minority interest) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.7445,hard,solvency,Total Liabilities / Total Equity * 100%,"corporate,year,Liabilities,AllEquityBalanceIncludingMinorityInterest
+Parker Hannifin,2018,9454594000.0,5865493000.0
+Parker Hannifin,2019,11608538000.0,5968152000.0
+Parker Hannifin,2020,13609660000.0,6128529000.0
+Parker Hannifin,2021,11927530000.0,8413670000.0
+Parker Hannifin,2022,17084023000.0,8859920000.0
+Cooper Companies (The),2018,2805000000.0,3307800000.0
+Cooper Companies (The),2019,2645900000.0,3628600000.0
+Cooper Companies (The),2020,2912700000.0,3824800000.0
+Cooper Companies (The),2021,2664200000.0,6942000000.0
+Cooper Companies (The),2022,4317600000.0,7174700000.0
+","corporate,year,Liability-to-Equity Ratio
+Cooper Companies (The),2018,84.79956466533648
+Cooper Companies (The),2019,72.91792978008047
+Cooper Companies (The),2020,76.15300146412885
+Cooper Companies (The),2021,38.377989052146354
+Cooper Companies (The),2022,60.178125914672385
+Parker Hannifin,2018,161.1900994511459
+Parker Hannifin,2019,194.50808223383052
+Parker Hannifin,2020,222.07058170076377
+Parker Hannifin,2021,141.76370121480878
+Parker Hannifin,2022,192.82367109409566
+"
+US,fundamental,"Over 2017-2021, what is the ratio of Aon plc to CSX Corporation for the maximum of Liability-to-Equity Ratio? (Indicator unit: %; Total equity includes minority interest) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",11.9386,hard,solvency,Total Liabilities / Total Equity * 100%,"corporate,year,Liabilities,AllEquityBalanceIncludingMinorityInterest
+Aon plc,2017,21440000000.0,4648000000.0
+Aon plc,2018,22203000000.0,4219000000.0
+Aon plc,2019,25956000000.0,3449000000.0
+Aon plc,2020,28531000000.0,3583000000.0
+Aon plc,2021,30759000000.0,1158000000.0
+CSX Corporation,2017,21018000000.0,14721000000.0
+CSX Corporation,2018,24149000000.0,12580000000.0
+CSX Corporation,2019,26394000000.0,11863000000.0
+CSX Corporation,2020,26683000000.0,13110000000.0
+CSX Corporation,2021,27031000000.0,13500000000.0
+","corporate,year,Liability-to-Equity Ratio
+Aon plc,2017,461.2736660929432
+Aon plc,2018,526.2621474283005
+Aon plc,2019,752.5659611481589
+Aon plc,2020,796.28802679319
+Aon plc,2021,2656.2176165803107
+CSX Corporation,2017,142.77562665579785
+CSX Corporation,2018,191.96343402225756
+CSX Corporation,2019,222.49009525415158
+CSX Corporation,2020,203.53165522501908
+CSX Corporation,2021,200.2296296296296
+"
+US,fundamental,"Calculate the minimum of Liability-to-Equity Ratio for Mid-America Apartment Communities and Block separately from 2021 to 2025, and compute the ratio of Mid-America Apartment Communities to Block. (Indicator unit: %; Total equity includes minority interest) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.1104,hard,solvency,Total Liabilities / Total Equity * 100%,"corporate,year,Liabilities,AllEquityBalanceIncludingMinorityInterest
+Mid-America Apartment Communities,2021,5101090000.0,6153907000.0
+Mid-America Apartment Communities,2022,5030746000.0,6189748000.0
+Mid-America Apartment Communities,2023,5185381000.0,6279955000.0
+Mid-America Apartment Communities,2024,5664705000.0,6125434000.0
+Mid-America Apartment Communities,2025,6135738000.0,5819243000.0
+Block,2021,10612175000.0,3313589000.0
+Block,2022,14112985000.0,17251355000.0
+Block,2023,15377057000.0,18692836000.0
+Block,2024,15542633000.0,21234962000.0
+Block,2025,17380005000.0,22169882000.0
+","corporate,year,Liability-to-Equity Ratio
+Block,2021,320.26225944134893
+Block,2022,81.80797972101323
+Block,2023,82.26176595140512
+Block,2024,73.19359931042024
+Block,2025,78.39466624134491
+Mid-America Apartment Communities,2021,82.8918929064089
+Mid-America Apartment Communities,2022,81.27545741765255
+Mid-America Apartment Communities,2023,82.57035281303767
+Mid-America Apartment Communities,2024,92.4784268347353
+Mid-America Apartment Communities,2025,105.43876583260057
+"
+US,fundamental,"Comparing the maximum of Net Debt to Equity from 2020 to 2024, what is the ratio of Synopsys to Archer Daniels Midland? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-0.2433,hard,solvency,Net Debt / Total Equity; Net Debt = Total Debt (short + long-term debt + operating lease liabilities) - Cash - Short-Term Investments,"corporate,year,ShortTermDebt,LongTermDebt,OperatingLeaseCurrentDebtEquivalent,OperatingLeaseNonCurrentDebtEquivalent,CashAndMarketableSecurities,ShortTermInvestments,AllEquityBalanceIncludingMinorityInterest
+Synopsys,2020,27084000.0,100823000.0,73173000.0,462411000.0,1235653000.0,0.0,4912367000.0
+Synopsys,2021,74992000.0,25094000.0,79678000.0,487003000.0,1580789000.0,147949000.0,5298943000.0
+Synopsys,2022,0.0,20824000.0,54274000.0,581273000.0,1565521000.0,147913000.0,5520526000.0
+Synopsys,2023,0.0,18078000.0,85690000.0,584035000.0,1590552000.0,151639000.0,6153258000.0
+Synopsys,2024,0.0,15601000.0,94791000.0,574065000.0,4050401000.0,153869000.0,8993206000.0
+Archer Daniels Midland,2020,2042000000.0,7885000000.0,261000000.0,863000000.0,5890000000.0,0.0,20022000000.0
+Archer Daniels Midland,2021,958000000.0,8011000000.0,277000000.0,765000000.0,8016000000.0,0.0,22508000000.0
+Archer Daniels Midland,2022,503000000.0,7735000000.0,292000000.0,816000000.0,9010000000.0,0.0,24317000000.0
+Archer Daniels Midland,2023,105000000.0,8259000000.0,300000000.0,931000000.0,7228000000.0,0.0,24145000000.0
+Archer Daniels Midland,2024,1903000000.0,7580000000.0,324000000.0,1057000000.0,246000000.0,0.0,22178000000.0
+","corporate,year,Net Debt to Equity
+Archer Daniels Midland,2020,0.25776645689741284
+Archer Daniels Midland,2021,0.08863515194597477
+Archer Daniels Midland,2022,0.013817493934284657
+Archer Daniels Midland,2023,0.09803271898943881
+Archer Daniels Midland,2024,0.47876273784831813
+Synopsys,2020,-0.11647378951939055
+Synopsys,2021,-0.20041185572292436
+Synopsys,2022,-0.19147867431473015
+Synopsys,2023,-0.17135442719937957
+Synopsys,2024,-0.3913857861145402
+"
+US,fundamental,"What is the ratio of CVS Health to United Parcel Service in terms of the average of Net Debt to Equity from 2022 to 2024? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.8236,hard,solvency,Net Debt / Total Equity; Net Debt = Total Debt (short + long-term debt + operating lease liabilities) - Cash - Short-Term Investments,"corporate,year,ShortTermDebt,LongTermDebt,OperatingLeaseCurrentDebtEquivalent,OperatingLeaseNonCurrentDebtEquivalent,CashAndMarketableSecurities,ShortTermInvestments,AllEquityBalanceIncludingMinorityInterest
+CVS Health,2022,0.0,50476000000.0,1678000000.0,16800000000.0,12945000000.0,2778000000.0,71315000000.0
+CVS Health,2023,200000000.0,58638000000.0,1741000000.0,16034000000.0,8196000000.0,3259000000.0,76636000000.0
+CVS Health,2024,2119000000.0,60527000000.0,1751000000.0,14899000000.0,8586000000.0,2407000000.0,75730000000.0
+United Parcel Service,2022,0.0,17321000000.0,621000000.0,3238000000.0,5602000000.0,1993000000.0,19803000000.0
+United Parcel Service,2023,3348000000.0,18916000000.0,709000000.0,3756000000.0,3206000000.0,2866000000.0,17314000000.0
+United Parcel Service,2024,1838000000.0,19446000000.0,733000000.0,3635000000.0,6112000000.0,206000000.0,16743000000.0
+","corporate,year,Net Debt to Equity
+CVS Health,2022,0.7464208090864475
+CVS Health,2023,0.8502270473406754
+CVS Health,2024,0.9019279017562393
+United Parcel Service,2022,0.6860071706307125
+United Parcel Service,2023,1.193080743906665
+United Parcel Service,2024,1.1547512393238966
+"
+US,fundamental,"From 2019 to 2021, how does the maximum of Net Debt to Equity for Moody's Corporation compare to PPG Industries as a ratio? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",5.0978,hard,solvency,Net Debt / Total Equity; Net Debt = Total Debt (short + long-term debt + operating lease liabilities) - Cash - Short-Term Investments,"corporate,year,ShortTermDebt,LongTermDebt,OperatingLeaseCurrentDebtEquivalent,OperatingLeaseNonCurrentDebtEquivalent,CashAndMarketableSecurities,ShortTermInvestments,AllEquityBalanceIncludingMinorityInterest
+Moody's Corporation,2019,0.0,5581000000.0,89000000.0,485000000.0,1832000000.0,98000000.0,831000000.0
+Moody's Corporation,2020,0.0,6422000000.0,94000000.0,427000000.0,2597000000.0,99000000.0,1763000000.0
+Moody's Corporation,2021,0.0,7413000000.0,105000000.0,455000000.0,1811000000.0,91000000.0,2916000000.0
+PPG Industries,2019,513000000.0,4539000000.0,170000000.0,622000000.0,1216000000.0,57000000.0,5403000000.0
+PPG Industries,2020,578000000.0,5171000000.0,180000000.0,677000000.0,1826000000.0,96000000.0,5815000000.0
+PPG Industries,2021,9000000.0,6572000000.0,192000000.0,693000000.0,1005000000.0,67000000.0,6411000000.0
+","corporate,year,Net Debt to Equity
+Moody's Corporation,2019,5.084235860409145
+Moody's Corporation,2020,2.40896199659671
+Moody's Corporation,2021,2.0819615912208507
+PPG Industries,2019,0.8460114751064224
+PPG Industries,2020,0.8055030094582976
+PPG Industries,2021,0.9973483075963189
+"
+US,fundamental,"Over 2022-2024, what is the ratio of Equinix to Archer Daniels Midland for the minimum of Net Debt to Equity? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",66.4975,hard,solvency,Net Debt / Total Equity; Net Debt = Total Debt (short + long-term debt + operating lease liabilities) - Cash - Short-Term Investments,"corporate,year,ShortTermDebt,LongTermDebt,OperatingLeaseCurrentDebtEquivalent,OperatingLeaseNonCurrentDebtEquivalent,CashAndMarketableSecurities,ShortTermInvestments,AllEquityBalanceIncludingMinorityInterest
+Equinix,2022,151420000.0,12109539000.0,139538000.0,1272812000.0,1906421000.0,0.0,11505832000.0
+Equinix,2023,998580000.0,12062346000.0,130745000.0,1331333000.0,2095712000.0,0.0,12488499000.0
+Equinix,2024,1199000000.0,13363000000.0,144000000.0,1331000000.0,3081000000.0,527000000.0,13527000000.0
+Archer Daniels Midland,2022,503000000.0,7735000000.0,292000000.0,816000000.0,9010000000.0,0.0,24317000000.0
+Archer Daniels Midland,2023,105000000.0,8259000000.0,300000000.0,931000000.0,7228000000.0,0.0,24145000000.0
+Archer Daniels Midland,2024,1903000000.0,7580000000.0,324000000.0,1057000000.0,246000000.0,0.0,22178000000.0
+","corporate,year,Net Debt to Equity
+Archer Daniels Midland,2022,0.013817493934284657
+Archer Daniels Midland,2023,0.09803271898943881
+Archer Daniels Midland,2024,0.47876273784831813
+Equinix,2022,1.022689015448861
+Equinix,2023,0.9950989306240886
+Equinix,2024,0.9188290086493679
+"
+US,fundamental,"Calculate the maximum of Net Debt to Equity for Synopsys and IBM separately from 2018 to 2020, and compute the ratio of Synopsys to IBM. According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-0.0258,hard,solvency,Net Debt / Total Equity; Net Debt = Total Debt (short + long-term debt + operating lease liabilities) - Cash - Short-Term Investments,"corporate,year,ShortTermDebt,LongTermDebt,OperatingLeaseCurrentDebtEquivalent,OperatingLeaseNonCurrentDebtEquivalent,CashAndMarketableSecurities,ShortTermInvestments,AllEquityBalanceIncludingMinorityInterest
+Synopsys,2018,343769000.0,125535000.0,0.0,0.0,723115000.0,0.0,3485015000.0
+Synopsys,2019,17614000.0,120093000.0,0.0,0.0,728597000.0,0.0,4088876000.0
+Synopsys,2020,27084000.0,100823000.0,73173000.0,462411000.0,1235653000.0,0.0,4912367000.0
+IBM,2018,10207000000.0,35605000000.0,0.0,0.0,11379000000.0,618000000.0,16929000000.0
+IBM,2019,8797000000.0,54102000000.0,1380000000.0,3879000000.0,8172000000.0,696000000.0,20985000000.0
+IBM,2020,7183000000.0,54355000000.0,1357000000.0,3574000000.0,13212000000.0,600000000.0,20727000000.0
+","corporate,year,Net Debt to Equity
+IBM,2018,1.9974599799161203
+IBM,2019,2.8253514415058376
+IBM,2020,2.5405027259130604
+Synopsys,2018,-0.07282924176796944
+Synopsys,2019,-0.14451159683003348
+Synopsys,2020,-0.11647378951939055
+"
+US,fundamental,"Comparing the maximum of Interest Coverage Ratio from 2021 to 2023, what is the ratio of Atmos Energy to Equinix? ( Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.1926,hard,solvency,EBIT / Interest Expense = (Pretax Income + Interest Expense) / Interest Expense,"corporate,year,PretaxIncomeLoss,InterestExpense
+Atmos Energy,2021,819299000.0,83554000.0
+Atmos Energy,2022,851908000.0,102811000.0
+Atmos Energy,2023,999641000.0,137281000.0
+Equinix,2021,608952000.0,426439000.0
+Equinix,2022,829369000.0,430217000.0
+Equinix,2023,1124230000.0,471456000.0
+","corporate,year,Interest Coverage Ratio
+Atmos Energy,2021,10.80562271106111
+Atmos Energy,2022,9.286156150606452
+Atmos Energy,2023,8.281714148352648
+Equinix,2021,2.427993218256304
+Equinix,2022,2.9277922536766328
+Equinix,2023,3.3845915631575374
+"
+US,fundamental,"What is the ratio of Moody's Corporation to Cisco in terms of the minimum of Interest Coverage Ratio from 2021 to 2025? ( Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0817,hard,solvency,EBIT / Interest Expense = (Pretax Income + Interest Expense) / Interest Expense,"corporate,year,PretaxIncomeLoss,InterestExpense
+Moody's Corporation,2021,2755000000.0,171000000.0
+Moody's Corporation,2022,1760000000.0,231000000.0
+Moody's Corporation,2023,1935000000.0,251000000.0
+Moody's Corporation,2024,2699000000.0,237000000.0
+Moody's Corporation,2025,3130000000.0,213000000.0
+Cisco,2021,13262000000.0,434000000.0
+Cisco,2022,14477000000.0,360000000.0
+Cisco,2023,15318000000.0,427000000.0
+Cisco,2024,12234000000.0,1006000000.0
+Cisco,2025,11100000000.0,1593000000.0
+","corporate,year,Interest Coverage Ratio
+Cisco,2021,31.557603686635943
+Cisco,2022,41.21388888888889
+Cisco,2023,36.87353629976581
+Cisco,2024,13.1610337972167
+Cisco,2025,7.967984934086629
+Moody's Corporation,2021,17.11111111111111
+Moody's Corporation,2022,8.619047619047619
+Moody's Corporation,2023,8.709163346613545
+Moody's Corporation,2024,12.388185654008439
+Moody's Corporation,2025,15.694835680751174
+"
+US,fundamental,"From 2021 to 2023, how does the maximum of Interest Coverage Ratio for Hormel Foods compare to U.S. Bancorp as a ratio? ( Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.403,hard,solvency,EBIT / Interest Expense = (Pretax Income + Interest Expense) / Interest Expense,"corporate,year,PretaxIncomeLoss,InterestExpense
+Hormel Foods,2021,1126170000.0,43307000.0
+Hormel Foods,2022,1278103000.0,62515000.0
+Hormel Foods,2023,1013472000.0,73402000.0
+U.S. Bancorp,2021,10166000000.0,993000000.0
+U.S. Bancorp,2022,7301000000.0,3217000000.0
+U.S. Bancorp,2023,6865000000.0,12611000000.0
+","corporate,year,Interest Coverage Ratio
+Hormel Foods,2021,27.00434109959129
+Hormel Foods,2022,21.444741262097097
+Hormel Foods,2023,14.807144219503556
+U.S. Bancorp,2021,11.23766364551863
+U.S. Bancorp,2022,3.2695057506994094
+U.S. Bancorp,2023,1.544366029656649
+"
+US,fundamental,"Over 2017-2019, what is the ratio of Kinder Morgan to Lockheed Martin for the maximum of Interest Coverage Ratio? ( Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.2235,hard,solvency,EBIT / Interest Expense = (Pretax Income + Interest Expense) / Interest Expense,"corporate,year,PretaxIncomeLoss,InterestExpense
+Kinder Morgan,2017,2161000000.0,1854000000.0
+Kinder Morgan,2018,2506000000.0,1879000000.0
+Kinder Morgan,2019,3165000000.0,1860000000.0
+Lockheed Martin,2017,5269000000.0,651000000.0
+Lockheed Martin,2018,5838000000.0,668000000.0
+Lockheed Martin,2019,7241000000.0,653000000.0
+","corporate,year,Interest Coverage Ratio
+Kinder Morgan,2017,2.1655879180151025
+Kinder Morgan,2018,2.3336881319850984
+Kinder Morgan,2019,2.7016129032258065
+Lockheed Martin,2017,9.093701996927804
+Lockheed Martin,2018,9.739520958083832
+Lockheed Martin,2019,12.088820826952526
+"
+US,fundamental,"Calculate the maximum of Interest Coverage Ratio for McCormick & Company and Wells Fargo separately from 2019 to 2021, and compute the ratio of McCormick & Company to Wells Fargo. ( Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.904,hard,solvency,EBIT / Interest Expense = (Pretax Income + Interest Expense) / Interest Expense,"corporate,year,PretaxIncomeLoss,InterestExpense
+McCormick & Company,2019,819200000.0,165200000.0
+McCormick & Company,2020,881500000.0,135600000.0
+McCormick & Company,2021,895800000.0,136600000.0
+Wells Fargo,2019,24198000000.0,18852000000.0
+Wells Fargo,2020,581000000.0,7963000000.0
+Wells Fargo,2021,28816000000.0,3915000000.0
+","corporate,year,Interest Coverage Ratio
+McCormick & Company,2019,5.958837772397095
+McCormick & Company,2020,7.5007374631268435
+McCormick & Company,2021,7.55783308931186
+Wells Fargo,2019,2.2835773392743475
+Wells Fargo,2020,1.0729624513374356
+Wells Fargo,2021,8.360408684546616
+"
+US,fundamental,"Comparing the minimum of Net Debt to EBITDA from 2018 to 2022, what is the ratio of Tyler Technologies to PPG Industries? ( Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-1.5398,hard,solvency,Net Debt / EBITDA; Net Debt = Total Debt (short + long-term debt + operating lease liabilities) - Cash - Short-Term Investments; EBITDA = Pretax Income + Interest Expense + D&A,"corporate,year,ShortTermDebt,LongTermDebt,OperatingLeaseCurrentDebtEquivalent,OperatingLeaseNonCurrentDebtEquivalent,CashAndMarketableSecurities,ShortTermInvestments,PretaxIncomeLoss,InterestExpense,DepreciationExpense,AmortizationOfIntangibles
+Tyler Technologies,2018,0.0,0.0,0.0,0.0,134279000.0,44306000.0,155870000.0,0.0,61759000.0,0.0
+Tyler Technologies,2019,0.0,0.0,6387000.0,16822000.0,232682000.0,39399000.0,159838000.0,0.0,76672000.0,0.0
+Tyler Technologies,2020,0.0,0.0,5904000.0,16279000.0,603623000.0,72187000.0,175042000.0,0.0,81657000.0,0.0
+Tyler Technologies,2021,30000000.0,718511000.0,10560000.0,36336000.0,309171000.0,52300000.0,158981000.0,0.0,135624000.0,0.0
+Tyler Technologies,2022,30000000.0,362905000.0,10736000.0,48049000.0,173857000.0,37030000.0,187593000.0,21256000.0,159072000.0,0.0
+PPG Industries,2018,651000000.0,4365000000.0,0.0,0.0,902000000.0,61000000.0,1693000000.0,118000000.0,497000000.0,143000000.0
+PPG Industries,2019,513000000.0,4539000000.0,170000000.0,622000000.0,1216000000.0,57000000.0,1661000000.0,132000000.0,511000000.0,136000000.0
+PPG Industries,2020,578000000.0,5171000000.0,180000000.0,677000000.0,1826000000.0,96000000.0,1362000000.0,138000000.0,509000000.0,138000000.0
+PPG Industries,2021,9000000.0,6572000000.0,192000000.0,693000000.0,1005000000.0,67000000.0,1815000000.0,121000000.0,561000000.0,172000000.0
+PPG Industries,2022,313000000.0,6503000000.0,183000000.0,636000000.0,1099000000.0,55000000.0,1381000000.0,167000000.0,554000000.0,166000000.0
+","corporate,year,Net Debt to EBITDA
+PPG Industries,2018,1.653610771113831
+PPG Industries,2019,1.873360655737705
+PPG Industries,2020,2.181648812296227
+PPG Industries,2021,2.395653802922443
+PPG Industries,2022,2.857583774250441
+Tyler Technologies,2018,-0.8205937627797766
+Tyler Technologies,2019,-1.0522684030273561
+Tyler Technologies,2020,-2.546277936415802
+Tyler Technologies,2021,1.4729417355442032
+Tyler Technologies,2022,0.6544964815816439
+"
+US,fundamental,"What is the ratio of 3M to Bio-Techne in terms of the minimum of Net Debt to EBITDA from 2018 to 2022? ( Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",8.3558,hard,solvency,Net Debt / EBITDA; Net Debt = Total Debt (short + long-term debt + operating lease liabilities) - Cash - Short-Term Investments; EBITDA = Pretax Income + Interest Expense + D&A,"corporate,year,ShortTermDebt,LongTermDebt,OperatingLeaseCurrentDebtEquivalent,OperatingLeaseNonCurrentDebtEquivalent,CashAndMarketableSecurities,ShortTermInvestments,PretaxIncomeLoss,InterestExpense,Depreciation & Amortization
+3M,2018,1211000000.0,13411000000.0,0.0,0.0,2853000000.0,380000000.0,7000000000.0,0.0,1488000000.0
+3M,2019,0.0,17518000000.0,247000000.0,607000000.0,0.0,98000000.0,5712000000.0,0.0,1593000000.0
+3M,2020,0.0,17989000000.0,256000000.0,609000000.0,0.0,404000000.0,6711000000.0,0.0,1911000000.0
+3M,2021,1307000000.0,16056000000.0,263000000.0,591000000.0,201000000.0,0.0,7204000000.0,0.0,1915000000.0
+3M,2022,1938000000.0,14001000000.0,261000000.0,580000000.0,238000000.0,0.0,6392000000.0,0.0,1831000000.0
+Bio-Techne,2018,0.0,339000000.0,0.0,0.0,121990000.0,0.0,125952000.0,10188000.0,64463000.0
+Bio-Techne,2019,0.0,492660000.0,0.0,0.0,100886000.0,0.0,112015000.0,21705000.0,78171000.0
+Bio-Techne,2020,0.0,344243000.0,9535000.0,67248000.0,146625000.0,0.0,276477000.0,19197000.0,82737000.0
+Bio-Techne,2021,0.0,328827000.0,11602000.0,67625000.0,199091000.0,0.0,148175000.0,13952000.0,87747000.0
+Bio-Techne,2022,0.0,243410000.0,11928000.0,58133000.0,172567000.0,74462000.0,301386000.0,11309000.0,101069000.0
+","corporate,year,Net Debt to EBITDA
+3M,2018,1.3417766258246937
+3M,2019,2.501574264202601
+3M,2020,2.139874739039666
+3M,2021,1.9756552253536572
+3M,2022,2.0116745713243342
+Bio-Techne,2018,1.0817884079500306
+Bio-Techne,2019,1.8489412009004629
+Bio-Techne,2020,0.725140125419187
+Bio-Techne,2021,0.8362734818348447
+Bio-Techne,2022,0.16057946075540647
+"
+US,fundamental,"From 2023 to 2025, how does the minimum of Net Debt to EBITDA for Verizon compare to PPG Industries as a ratio? ( Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.6065,hard,solvency,Net Debt / EBITDA; Net Debt = Total Debt (short + long-term debt + operating lease liabilities) - Cash - Short-Term Investments; EBITDA = Pretax Income + Interest Expense + D&A,"corporate,year,ShortTermDebt,LongTermDebt,OperatingLeaseCurrentDebtEquivalent,OperatingLeaseNonCurrentDebtEquivalent,CashAndMarketableSecurities,ShortTermInvestments,PretaxIncomeLoss,InterestExpense,DepreciationExpense,AmortizationOfIntangibles
+Verizon,2023,0.0,137701000000.0,4266000000.0,20002000000.0,2065000000.0,0.0,16987000000.0,5524000000.0,17624000000.0,0.0
+Verizon,2024,0.0,121381000000.0,4415000000.0,19928000000.0,4194000000.0,0.0,22979000000.0,6649000000.0,17892000000.0,0.0
+Verizon,2025,0.0,139532000000.0,4542000000.0,18951000000.0,19048000000.0,0.0,22672000000.0,6694000000.0,18349000000.0,0.0
+PPG Industries,2023,306000000.0,5748000000.0,194000000.0,622000000.0,1514000000.0,75000000.0,1748000000.0,247000000.0,558000000.0,167000000.0
+PPG Industries,2024,939000000.0,4876000000.0,126000000.0,454000000.0,1270000000.0,88000000.0,1852000000.0,241000000.0,492000000.0,132000000.0
+PPG Industries,2025,706000000.0,6602000000.0,138000000.0,450000000.0,2163000000.0,56000000.0,2045000000.0,241000000.0,528000000.0,125000000.0
+","corporate,year,Net Debt to EBITDA
+PPG Industries,2023,1.941544117647059
+PPG Industries,2024,1.853882959146117
+PPG Industries,2025,1.9316093909493024
+Verizon,2023,3.984153481998256
+Verizon,2024,2.9783249158249157
+Verizon,2025,3.017436864717594
+"
+US,fundamental,"Over 2019-2021, what is the ratio of CVS Health to Bio-Techne for the minimum of Net Debt to EBITDA? ( Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",4.688,hard,solvency,Net Debt / EBITDA; Net Debt = Total Debt (short + long-term debt + operating lease liabilities) - Cash - Short-Term Investments; EBITDA = Pretax Income + Interest Expense + D&A,"corporate,year,ShortTermDebt,LongTermDebt,OperatingLeaseCurrentDebtEquivalent,OperatingLeaseNonCurrentDebtEquivalent,CashAndMarketableSecurities,ShortTermInvestments,PretaxIncomeLoss,InterestExpense,Depreciation & Amortization
+CVS Health,2019,0.0,64699000000.0,1596000000.0,18926000000.0,5683000000.0,2373000000.0,8997000000.0,3035000000.0,4371000000.0
+CVS Health,2020,0.0,59207000000.0,1638000000.0,18757000000.0,7854000000.0,3000000000.0,9770000000.0,2907000000.0,4441000000.0
+CVS Health,2021,0.0,51971000000.0,1646000000.0,18177000000.0,9408000000.0,3117000000.0,10420000000.0,2503000000.0,4512000000.0
+Bio-Techne,2019,0.0,492660000.0,0.0,0.0,100886000.0,0.0,112015000.0,21705000.0,78171000.0
+Bio-Techne,2020,0.0,344243000.0,9535000.0,67248000.0,146625000.0,0.0,276477000.0,19197000.0,82737000.0
+Bio-Techne,2021,0.0,328827000.0,11602000.0,67625000.0,199091000.0,0.0,148175000.0,13952000.0,87747000.0
+","corporate,year,Net Debt to EBITDA
+Bio-Techne,2019,1.8489412009004629
+Bio-Techne,2020,0.725140125419187
+Bio-Techne,2021,0.8362734818348447
+CVS Health,2019,4.70432238005243
+CVS Health,2020,4.016123378899404
+CVS Health,2021,3.3994264410668196
+"
+US,fundamental,"Calculate the minimum of Net Debt to EBITDA for Salesforce and CVS Health separately from 2019 to 2023, and compute the ratio of Salesforce to CVS Health. ( Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-0.3039,hard,solvency,Net Debt / EBITDA; Net Debt = Total Debt (short + long-term debt + operating lease liabilities) - Cash - Short-Term Investments; EBITDA = Pretax Income + Interest Expense + D&A,"corporate,year,ShortTermDebt,LongTermDebt,OperatingLeaseCurrentDebtEquivalent,OperatingLeaseNonCurrentDebtEquivalent,CashAndMarketableSecurities,ShortTermInvestments,PretaxIncomeLoss,InterestExpense,Depreciation & Amortization
+Salesforce,2019,0.0,2673000000.0,750000000.0,2445000000.0,4145000000.0,3802000000.0,706000000.0,106000000.0,2135000000.0
+Salesforce,2020,0.0,2673000000.0,766000000.0,2842000000.0,6195000000.0,5771000000.0,2561000000.0,96000000.0,2846000000.0
+Salesforce,2021,0.0,10592000000.0,686000000.0,2703000000.0,5464000000.0,5073000000.0,1532000000.0,187000000.0,3298000000.0
+Salesforce,2022,1182000000.0,9419000000.0,590000000.0,2897000000.0,7016000000.0,5492000000.0,660000000.0,275000000.0,3786000000.0
+Salesforce,2023,999000000.0,8427000000.0,518000000.0,2644000000.0,8472000000.0,5722000000.0,4950000000.0,254000000.0,3959000000.0
+CVS Health,2019,0.0,64699000000.0,1596000000.0,18926000000.0,5683000000.0,2373000000.0,8997000000.0,3035000000.0,4371000000.0
+CVS Health,2020,0.0,59207000000.0,1638000000.0,18757000000.0,7854000000.0,3000000000.0,9770000000.0,2907000000.0,4441000000.0
+CVS Health,2021,0.0,51971000000.0,1646000000.0,18177000000.0,9408000000.0,3117000000.0,10420000000.0,2503000000.0,4512000000.0
+CVS Health,2022,0.0,50476000000.0,1678000000.0,16800000000.0,12945000000.0,2778000000.0,5628000000.0,2287000000.0,4247000000.0
+CVS Health,2023,200000000.0,58638000000.0,1741000000.0,16034000000.0,8196000000.0,3259000000.0,11173000000.0,2658000000.0,4366000000.0
+","corporate,year,Net Debt to EBITDA
+CVS Health,2019,4.70432238005243
+CVS Health,2020,4.016123378899404
+CVS Health,2021,3.3994264410668196
+CVS Health,2022,4.376829468837363
+CVS Health,2023,3.580700115403638
+Salesforce,2019,-0.7054631828978623
+Salesforce,2020,-1.0330728693439941
+Salesforce,2021,0.6864660155471397
+Salesforce,2022,0.33467485702181743
+Salesforce,2023,-0.1752701080432173
+"
+US,fundamental,"Comparing the maximum of Revenue Growth from 2020 to 2022, what is the ratio of Franklin Resources to Gartner? (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.2773,hard,growth,(Revenue_t - Revenue_{t-1}) / Revenue_{t-1} * 100%,"corporate,year,Revenue
+Franklin Resources,2019,5669400000.0
+Franklin Resources,2020,5566500000.0
+Franklin Resources,2021,8425500000.0
+Franklin Resources,2022,8275300000.0
+Gartner,2019,4245321000.0
+Gartner,2020,4099403000.0
+Gartner,2021,4733962000.0
+Gartner,2022,5475846000.0
+","corporate,year,Revenue Growth
+Franklin Resources,2020,-1.8150068790348184
+Franklin Resources,2021,51.36081918620318
+Franklin Resources,2022,-1.7826835202658597
+Gartner,2020,-3.437148804530918
+Gartner,2021,15.479302717981131
+Gartner,2022,15.671524190519484
+"
+US,fundamental,"What is the ratio of Hilton Worldwide to Baxter International in terms of the maximum of Revenue Growth from 2020 to 2022? (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.8308,hard,growth,(Revenue_t - Revenue_{t-1}) / Revenue_{t-1} * 100%,"corporate,year,Revenue
+Hilton Worldwide,2019,9452000000.0
+Hilton Worldwide,2020,4307000000.0
+Hilton Worldwide,2021,5788000000.0
+Hilton Worldwide,2022,8773000000.0
+Baxter International,2019,11362000000.0
+Baxter International,2020,11673000000.0
+Baxter International,2021,12784000000.0
+Baxter International,2022,15113000000.0
+","corporate,year,Revenue Growth
+Baxter International,2020,2.737194155958458
+Baxter International,2021,9.517690396641823
+Baxter International,2022,18.21808510638298
+Hilton Worldwide,2020,-54.43292424883622
+Hilton Worldwide,2021,34.38588344555375
+Hilton Worldwide,2022,51.57221838286109
+"
+US,fundamental,"From 2018 to 2022, how does the average of Revenue Growth for Hubbell Incorporated compare to McKesson Corporation as a ratio? (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.1542,hard,growth,(Revenue_t - Revenue_{t-1}) / Revenue_{t-1} * 100%,"corporate,year,Revenue
+Hubbell Incorporated,2017,3668800000.0
+Hubbell Incorporated,2018,4481700000.0
+Hubbell Incorporated,2019,4591000000.0
+Hubbell Incorporated,2020,4186000000.0
+Hubbell Incorporated,2021,4194100000.0
+Hubbell Incorporated,2022,4947900000.0
+McKesson Corporation,2017,208357000000.0
+McKesson Corporation,2018,214319000000.0
+McKesson Corporation,2019,231051000000.0
+McKesson Corporation,2020,238228000000.0
+McKesson Corporation,2021,263966000000.0
+McKesson Corporation,2022,276711000000.0
+","corporate,year,Revenue Growth
+Hubbell Incorporated,2018,22.157108591365024
+Hubbell Incorporated,2019,2.4388067028136646
+Hubbell Incorporated,2020,-8.821607492920933
+Hubbell Incorporated,2021,0.19350215002388915
+Hubbell Incorporated,2022,17.972866646002718
+McKesson Corporation,2018,2.8614349409907036
+McKesson Corporation,2019,7.807053970949846
+McKesson Corporation,2020,3.1062406135441956
+McKesson Corporation,2021,10.803935725439494
+McKesson Corporation,2022,4.828273338232955
+"
+US,fundamental,"Over 2017-2021, what is the ratio of Microsoft to Newmont for the maximum of Revenue Growth? (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.6617,hard,growth,(Revenue_t - Revenue_{t-1}) / Revenue_{t-1} * 100%,"corporate,year,Revenue
+Microsoft,2016,85320000000.0
+Microsoft,2017,89950000000.0
+Microsoft,2018,110360000000.0
+Microsoft,2019,125843000000.0
+Microsoft,2020,143015000000.0
+Microsoft,2021,168088000000.0
+Newmont,2016,6711000000.0
+Newmont,2017,7348000000.0
+Newmont,2018,7253000000.0
+Newmont,2019,9740000000.0
+Newmont,2020,11497000000.0
+Newmont,2021,12222000000.0
+","corporate,year,Revenue Growth
+Microsoft,2017,5.426629160806376
+Microsoft,2018,22.690383546414676
+Microsoft,2019,14.02953968829286
+Microsoft,2020,13.645574247276368
+Microsoft,2021,17.531727441177498
+Newmont,2017,9.491879004619282
+Newmont,2018,-1.2928688078388677
+Newmont,2019,34.289259616710325
+Newmont,2020,18.039014373716633
+Newmont,2021,6.305992867704618
+"
+US,fundamental,"Calculate the average of Revenue Growth for Raymond James Financial and Baker Hughes separately from 2020 to 2024, and compute the ratio of Raymond James Financial to Baker Hughes. (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.6226,hard,growth,(Revenue_t - Revenue_{t-1}) / Revenue_{t-1} * 100%,"corporate,year,Revenue
+Raymond James Financial,2019,9105000000.0
+Raymond James Financial,2020,9401000000.0
+Raymond James Financial,2021,12060000000.0
+Raymond James Financial,2022,12922000000.0
+Raymond James Financial,2023,12123000000.0
+Raymond James Financial,2024,14140000000.0
+Baker Hughes,2019,23838000000.0
+Baker Hughes,2020,20705000000.0
+Baker Hughes,2021,20502000000.0
+Baker Hughes,2022,21156000000.0
+Baker Hughes,2023,25506000000.0
+Baker Hughes,2024,27829000000.0
+","corporate,year,Revenue Growth
+Baker Hughes,2020,-13.142881114187432
+Baker Hughes,2021,-0.9804395073653707
+Baker Hughes,2022,3.189932689493708
+Baker Hughes,2023,20.561542824730573
+Baker Hughes,2024,9.107660942523328
+Raymond James Financial,2020,3.2509610104338273
+Raymond James Financial,2021,28.284225082438034
+Raymond James Financial,2022,7.14759535655058
+Raymond James Financial,2023,-6.183253366351958
+Raymond James Financial,2024,16.63779592510105
+"
+US,fundamental,"Comparing the maximum of EBITDA Growth from 2017 to 2019, what is the ratio of NextEra Energy to Universal Health Services? (Indicator unit: %; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",11.0908,hard,growth,(EBITDA_t - EBITDA_{t-1}) / EBITDA_{t-1} * 100%; EBITDA = Pretax Income + Interest Expense + D&A,"corporate,year,PretaxIncomeLoss,InterestExpense,Depreciation & Amortization
+NextEra Energy,2016,4388000000.0,1193000000.0,3077000000.0
+NextEra Energy,2017,4667000000.0,1184000000.0,2357000000.0
+NextEra Energy,2018,7352000000.0,1209000000.0,3911000000.0
+NextEra Energy,2019,3836000000.0,1799000000.0,4216000000.0
+Universal Health Services,2016,1156358000.0,125053000.0,416608000.0
+Universal Health Services,2017,1135009000.0,145169000.0,447765000.0
+Universal Health Services,2018,1034525000.0,154956000.0,453045000.0
+Universal Health Services,2019,1066337000.0,162733000.0,490392000.0
+","corporate,year,EBITDA Growth
+NextEra Energy,2017,-5.197505197505198
+NextEra Energy,2018,51.94931773879142
+NextEra Energy,2019,-21.015073765234124
+Universal Health Services,2017,1.7622888789819195
+Universal Health Services,2018,-4.943276485393326
+Universal Health Services,2019,4.684005002051718
+"
+US,fundamental,"What is the ratio of UnitedHealth Group to Target Corporation in terms of the average of EBITDA Growth from 2022 to 2024? (Indicator unit: %; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-0.8316,hard,growth,(EBITDA_t - EBITDA_{t-1}) / EBITDA_{t-1} * 100%; EBITDA = Pretax Income + Interest Expense + D&A,"corporate,year,PretaxIncomeLoss,InterestExpense,Depreciation & Amortization
+UnitedHealth Group,2021,22310000000.0,1660000000.0,3103000000.0
+UnitedHealth Group,2022,26343000000.0,2092000000.0,3400000000.0
+UnitedHealth Group,2023,29112000000.0,3246000000.0,3972000000.0
+UnitedHealth Group,2024,20071000000.0,3906000000.0,4099000000.0
+Target Corporation,2021,8907000000.0,414000000.0,2642000000.0
+Target Corporation,2022,3418000000.0,449000000.0,2700000000.0
+Target Corporation,2023,5297000000.0,605000000.0,2801000000.0
+Target Corporation,2024,5261000000.0,615000000.0,2981000000.0
+","corporate,year,EBITDA Growth
+Target Corporation,2022,-45.105742706678924
+Target Corporation,2023,32.5262677021471
+Target Corporation,2024,1.7695047684706422
+UnitedHealth Group,2022,17.58948029401987
+UnitedHealth Group,2023,14.11967959792681
+UnitedHealth Group,2024,-22.719515551885493
+"
+US,fundamental,"From 2020 to 2022, how does the minimum of EBITDA Growth for Bio-Techne compare to Parker Hannifin as a ratio? (Indicator unit: %; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.4682,hard,growth,(EBITDA_t - EBITDA_{t-1}) / EBITDA_{t-1} * 100%; EBITDA = Pretax Income + Interest Expense + D&A,"corporate,year,PretaxIncomeLoss,InterestExpense,Depreciation & Amortization
+Bio-Techne,2019,112015000.0,21705000.0,78171000.0
+Bio-Techne,2020,276477000.0,19197000.0,82737000.0
+Bio-Techne,2021,148175000.0,13952000.0,87747000.0
+Bio-Techne,2022,301386000.0,11309000.0,101069000.0
+Parker Hannifin,2019,1933425000.0,190138000.0,225675000.0
+Parker Hannifin,2020,1512627000.0,308161000.0,252899000.0
+Parker Hannifin,2021,2246957000.0,250036000.0,269943000.0
+Parker Hannifin,2022,1614226000.0,255252000.0,257314000.0
+","corporate,year,EBITDA Growth
+Bio-Techne,2020,78.5875756874997
+Bio-Techne,2021,-33.96756436784343
+Bio-Techne,2022,65.58905688466987
+Parker Hannifin,2020,-11.729377781220975
+Parker Hannifin,2021,33.430744369810874
+Parker Hannifin,2022,-23.135482714453822
+"
+US,fundamental,"Over 2023-2025, what is the ratio of Universal Health Services to NXP Semiconductors for the average of EBITDA Growth? (Indicator unit: %; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-2.5006,hard,growth,(EBITDA_t - EBITDA_{t-1}) / EBITDA_{t-1} * 100%; EBITDA = Pretax Income + Interest Expense + D&A,"corporate,year,PretaxIncomeLoss,InterestExpense,Depreciation & Amortization
+Universal Health Services,2022,866260000.0,126889000.0,581861000.0
+Universal Health Services,2023,940426000.0,206674000.0,568041000.0
+Universal Health Services,2024,1497936000.0,186109000.0,584831000.0
+Universal Health Services,2025,1972141000.0,156068000.0,618743000.0
+NXP Semiconductors,2022,3363000000.0,323000000.0,1250000000.0
+NXP Semiconductors,2023,3352000000.0,261000000.0,1106000000.0
+NXP Semiconductors,2024,3099000000.0,243000000.0,925000000.0
+NXP Semiconductors,2025,2663000000.0,306000000.0,832000000.0
+","corporate,year,EBITDA Growth
+NXP Semiconductors,2023,-4.396272285251215
+NXP Semiconductors,2024,-9.578300487391395
+NXP Semiconductors,2025,-10.921021795172251
+Universal Health Services,2023,8.897149859365973
+Universal Health Services,2024,32.28510075847992
+Universal Health Services,2025,21.071050158757025
+"
+US,fundamental,"Calculate the maximum of EBITDA Growth for KLA Corporation and West Pharmaceutical Services separately from 2018 to 2022, and compute the ratio of KLA Corporation to West Pharmaceutical Services. (Indicator unit: %; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.8035,hard,growth,(EBITDA_t - EBITDA_{t-1}) / EBITDA_{t-1} * 100%; EBITDA = Pretax Income + Interest Expense + D&A,"corporate,year,PretaxIncomeLoss,InterestExpense,Depreciation & Amortization
+KLA Corporation,2017,1173246000.0,122476000.0,57836000.0
+KLA Corporation,2018,1455931000.0,114376000.0,62684000.0
+KLA Corporation,2019,1296231000.0,124604000.0,233224000.0
+KLA Corporation,2020,1316711000.0,160274000.0,348049000.0
+KLA Corporation,2021,2360454000.0,157328000.0,333335000.0
+KLA Corporation,2022,3489237000.0,160339000.0,363344000.0
+West Pharmaceutical Services,2017,222400000.0,7800000.0,94300000.0
+West Pharmaceutical Services,2018,240700000.0,8400000.0,101700000.0
+West Pharmaceutical Services,2019,291800000.0,8500000.0,100000000.0
+West Pharmaceutical Services,2020,401300000.0,8200000.0,104700000.0
+West Pharmaceutical Services,2021,748900000.0,8200000.0,116900000.0
+West Pharmaceutical Services,2022,679900000.0,7900000.0,116900000.0
+","corporate,year,EBITDA Growth
+KLA Corporation,2018,20.644331458275154
+KLA Corporation,2019,1.290147955500061
+KLA Corporation,2020,10.336692947470436
+KLA Corporation,2021,56.222678591193365
+KLA Corporation,2022,40.74904677710525
+West Pharmaceutical Services,2018,8.10477657935285
+West Pharmaceutical Services,2019,14.11060433295325
+West Pharmaceutical Services,2020,28.453659755183615
+West Pharmaceutical Services,2021,69.97277323998445
+West Pharmaceutical Services,2022,-7.929061784897025
+"
+US,fundamental,"Comparing the maximum of Net Income Growth from 2019 to 2021, what is the ratio of Prologis to Keurig Dr Pepper? (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.8631,hard,growth,(Net Income_t - Net Income_{t-1}) / |Net Income_{t-1}| * 100%,"corporate,year,NetIncome
+Prologis,2018,1649361000.0
+Prologis,2019,1572959000.0
+Prologis,2020,1481814000.0
+Prologis,2021,2939723000.0
+Keurig Dr Pepper,2018,586000000.0
+Keurig Dr Pepper,2019,1254000000.0
+Keurig Dr Pepper,2020,1325000000.0
+Keurig Dr Pepper,2021,2146000000.0
+","corporate,year,Net Income Growth
+Keurig Dr Pepper,2019,113.99317406143345
+Keurig Dr Pepper,2020,5.6618819776714515
+Keurig Dr Pepper,2021,61.96226415094339
+Prologis,2019,-4.632218174189883
+Prologis,2020,-5.794493054173695
+Prologis,2021,98.38677458844363
+"
+US,fundamental,"What is the ratio of Ares Management to Marathon Petroleum in terms of the maximum of Net Income Growth from 2017 to 2019? (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.8376,hard,growth,(Net Income_t - Net Income_{t-1}) / |Net Income_{t-1}| * 100%,"corporate,year,NetIncome
+Ares Management,2016,111808000.0
+Ares Management,2017,76178000.0
+Ares Management,2018,57020000.0
+Ares Management,2019,148884000.0
+Marathon Petroleum,2016,1174000000.0
+Marathon Petroleum,2017,3432000000.0
+Marathon Petroleum,2018,2780000000.0
+Marathon Petroleum,2019,2637000000.0
+","corporate,year,Net Income Growth
+Ares Management,2017,-31.867129364625075
+Ares Management,2018,-25.148993147627923
+Ares Management,2019,161.10838302350052
+Marathon Petroleum,2017,192.33390119250427
+Marathon Petroleum,2018,-18.997668997669
+Marathon Petroleum,2019,-5.143884892086331
+"
+US,fundamental,"From 2021 to 2023, how does the minimum of Net Income Growth for UDR compare to Global Payments as a ratio? (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.4755,hard,growth,(Net Income_t - Net Income_{t-1}) / |Net Income_{t-1}| * 100%,"corporate,year,NetIncome
+UDR,2020,64266000.0
+UDR,2021,150016000.0
+UDR,2022,86924000.0
+UDR,2023,444353000.0
+Global Payments,2020,584520000.0
+Global Payments,2021,965460000.0
+Global Payments,2022,111493000.0
+Global Payments,2023,986233000.0
+","corporate,year,Net Income Growth
+Global Payments,2021,65.1714227058099
+Global Payments,2022,-88.45182607254573
+Global Payments,2023,784.5694348524122
+UDR,2021,133.42980736314692
+UDR,2022,-42.056847269624576
+UDR,2023,411.19713772951087
+"
+US,fundamental,"Over 2023-2025, what is the ratio of Ameren to Lockheed Martin for the minimum of Net Income Growth? (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-0.1214,hard,growth,(Net Income_t - Net Income_{t-1}) / |Net Income_{t-1}| * 100%,"corporate,year,NetIncome
+Ameren,2022,1075000000.0
+Ameren,2023,1152000000.0
+Ameren,2024,1184000000.0
+Ameren,2025,1487000000.0
+Lockheed Martin,2022,5732000000.0
+Lockheed Martin,2023,6920000000.0
+Lockheed Martin,2024,5336000000.0
+Lockheed Martin,2025,5017000000.0
+","corporate,year,Net Income Growth
+Ameren,2023,7.162790697674419
+Ameren,2024,2.7777777777777777
+Ameren,2025,25.591216216216218
+Lockheed Martin,2023,20.725750174459176
+Lockheed Martin,2024,-22.890173410404625
+Lockheed Martin,2025,-5.978260869565218
+"
+US,fundamental,"Calculate the minimum of Net Income Growth for Home Depot (The) and Stryker Corporation separately from 2021 to 2023, and compute the ratio of Home Depot (The) to Stryker Corporation. (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-0.6283,hard,growth,(Net Income_t - Net Income_{t-1}) / |Net Income_{t-1}| * 100%,"corporate,year,NetIncome
+Home Depot (The),2020,12866000000.0
+Home Depot (The),2021,16433000000.0
+Home Depot (The),2022,17105000000.0
+Home Depot (The),2023,15143000000.0
+Stryker Corporation,2020,1599000000.0
+Stryker Corporation,2021,1994000000.0
+Stryker Corporation,2022,2358000000.0
+Stryker Corporation,2023,3165000000.0
+","corporate,year,Net Income Growth
+Home Depot (The),2021,27.724234416291
+Home Depot (The),2022,4.089332440820301
+Home Depot (The),2023,-11.470330312774042
+Stryker Corporation,2021,24.702939337085677
+Stryker Corporation,2022,18.254764292878637
+Stryker Corporation,2023,34.223918575063614
+"
+US,fundamental,"Comparing the maximum of EPS Growth from 2021 to 2023, what is the ratio of Republic Services to Wabtec? (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.9276,hard,growth,(EPS_t - EPS_{t-1}) / |EPS_{t-1}| * 100%; EPS = Net Income / Weighted-Average Basic Shares,"corporate,year,NetIncome,SharesAverage
+Republic Services,2020,967237000.0,319282000.0
+Republic Services,2021,1290405000.0,318811000.0
+Republic Services,2022,1487586000.0,316530000.0
+Republic Services,2023,1730985000.0,316182000.0
+Wabtec,2020,414400000.0,189900000.0
+Wabtec,2021,558000000.0,187700000.0
+Wabtec,2022,633000000.0,182200000.0
+Wabtec,2023,815000000.0,178800000.0
+","corporate,year,EPS Growth
+Republic Services,2021,33.60855698454826
+Republic Services,2022,16.111294000090147
+Republic Services,2023,16.490083755465108
+Wabtec,2021,36.23074897715282
+Wabtec,2022,16.865255007495012
+Wabtec,2023,31.200278493449403
+"
+US,fundamental,"What is the ratio of Agilent Technologies to Cencora in terms of the maximum of EPS Growth from 2023 to 2025? (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.935,hard,growth,(EPS_t - EPS_{t-1}) / |EPS_{t-1}| * 100%; EPS = Net Income / Weighted-Average Basic Shares,"corporate,year,NetIncome,SharesAverage
+Agilent Technologies,2022,1254000000.0,299000000.0
+Agilent Technologies,2023,1240000000.0,294000000.0
+Agilent Technologies,2024,1289000000.0,290000000.0
+Agilent Technologies,2025,1303000000.0,284000000.0
+Cencora,2022,1698820000.0,208472000.0
+Cencora,2023,1745293000.0,202511000.0
+Cencora,2024,1509120000.0,198503000.0
+Cencora,2025,1554169000.0,193820000.0
+","corporate,year,EPS Growth
+Agilent Technologies,2023,0.5652659787998117
+Agilent Technologies,2024,5.385428253615119
+Agilent Technologies,2025,3.2217353773533493
+Cencora,2023,5.759672244509511
+Cencora,2024,-11.786110467976412
+Cencora,2025,5.4734016638815985
+"
+US,fundamental,"From 2019 to 2023, how does the average of EPS Growth for IQVIA compare to American Express as a ratio? (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.5596,hard,growth,(EPS_t - EPS_{t-1}) / |EPS_{t-1}| * 100%; EPS = Net Income / Weighted-Average Basic Shares,"corporate,year,NetIncome,SharesAverage
+IQVIA,2018,259000000.0,203700000.0
+IQVIA,2019,191000000.0,195100000.0
+IQVIA,2020,279000000.0,191300000.0
+IQVIA,2021,966000000.0,191400000.0
+IQVIA,2022,1091000000.0,187600000.0
+IQVIA,2023,1358000000.0,183800000.0
+American Express,2018,6921000000.0,856000000.0
+American Express,2019,6759000000.0,828000000.0
+American Express,2020,3135000000.0,805000000.0
+American Express,2021,8060000000.0,789000000.0
+American Express,2022,7514000000.0,751000000.0
+American Express,2023,8374000000.0,735000000.0
+","corporate,year,EPS Growth
+American Express,2019,0.9617861203771757
+American Express,2020,-52.29218185276774
+American Express,2021,162.31092190667937
+American Express,2022,-2.057042223272194
+American Express,2023,13.871322284569935
+IQVIA,2019,-23.004142020031306
+IQVIA,2020,48.9749112575024
+IQVIA,2021,246.0556622959293
+IQVIA,2022,15.227654981525381
+IQVIA,2023,27.046395027472762
+"
+US,fundamental,"Over 2023-2025, what is the ratio of Arista Networks to Coca-Cola Company (The) for the minimum of EPS Growth? (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",146.7032,hard,growth,(EPS_t - EPS_{t-1}) / |EPS_{t-1}| * 100%; EPS = Net Income / Weighted-Average Basic Shares,"corporate,year,NetIncome,SharesAverage
+Arista Networks,2022,1352446000.0,306473000.0
+Arista Networks,2023,2087321000.0,309354000.0
+Arista Networks,2024,2852054000.0,1256303000.0
+Arista Networks,2025,3511400000.0,1258000000.0
+Coca-Cola Company (The),2022,9542000000.0,4328000000.0
+Coca-Cola Company (The),2023,10714000000.0,4323000000.0
+Coca-Cola Company (The),2024,10631000000.0,4309000000.0
+Coca-Cola Company (The),2025,13107000000.0,4303000000.0
+","corporate,year,EPS Growth
+Arista Networks,2023,52.89940394322451
+Arista Networks,2024,-66.35427889588672
+Arista Networks,2025,22.952203521839024
+Coca-Cola Company (The),2023,12.41240680681578
+Coca-Cola Company (The),2024,-0.4523029254942758
+Coca-Cola Company (The),2025,23.462290343818204
+"
+US,fundamental,"Calculate the maximum of EPS Growth for Skyworks Solutions and Lilly (Eli) separately from 2019 to 2021, and compute the ratio of Skyworks Solutions to Lilly (Eli). (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.4756,hard,growth,(EPS_t - EPS_{t-1}) / |EPS_{t-1}| * 100%; EPS = Net Income / Weighted-Average Basic Shares,"corporate,year,NetIncome,SharesAverage
+Skyworks Solutions,2018,918400000.0,181300000.0
+Skyworks Solutions,2019,853600000.0,173500000.0
+Skyworks Solutions,2020,814800000.0,168500000.0
+Skyworks Solutions,2021,1498300000.0,165200000.0
+Lilly (Eli),2018,3232000000.0,1027721000.0
+Lilly (Eli),2019,8318400000.0,931059000.0
+Lilly (Eli),2020,6193700000.0,907634000.0
+Lilly (Eli),2021,5581700000.0,906963000.0
+","corporate,year,EPS Growth
+Lilly (Eli),2019,184.09688785236028
+Lilly (Eli),2020,-23.620499806252635
+Lilly (Eli),2021,-9.814335232017985
+Skyworks Solutions,2019,-2.877275602727199
+Skyworks Solutions,2020,-1.7129754518478642
+Skyworks Solutions,2021,87.55887598792795
+"
+US,fundamental,"Comparing the maximum of Free Cash Flow from 2021 to 2025, what is the ratio of Las Vegas Sands to Omnicom Group? (Indicator unit: $) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.7926,hard,cash flow,CFO - Capex,"corporate,year,NetCashFromOperatingActivities,CapitalExpenses
+Las Vegas Sands,2021,-243000000.0,828000000.0
+Las Vegas Sands,2022,-944000000.0,651000000.0
+Las Vegas Sands,2023,3227000000.0,1017000000.0
+Las Vegas Sands,2024,3204000000.0,1567000000.0
+Las Vegas Sands,2025,3023000000.0,1168000000.0
+Omnicom Group,2021,1945400000.0,665800000.0
+Omnicom Group,2022,926500000.0,78200000.0
+Omnicom Group,2023,1421900000.0,78400000.0
+Omnicom Group,2024,1733500000.0,140600000.0
+Omnicom Group,2025,2938200000.0,149800000.0
+","corporate,year,Free Cash Flow
+Las Vegas Sands,2021,-1071000000.0
+Las Vegas Sands,2022,-1595000000.0
+Las Vegas Sands,2023,2210000000.0
+Las Vegas Sands,2024,1637000000.0
+Las Vegas Sands,2025,1855000000.0
+Omnicom Group,2021,1279600000.0
+Omnicom Group,2022,848300000.0
+Omnicom Group,2023,1343500000.0
+Omnicom Group,2024,1592900000.0
+Omnicom Group,2025,2788400000.0
+"
+US,fundamental,"What is the ratio of Iron Mountain to Procter & Gamble in terms of the minimum of Free Cash Flow from 2020 to 2022? (Indicator unit: $) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0039,hard,cash flow,CFO - Capex,"corporate,year,NetCashFromOperatingActivities,CapitalExpenses
+Iron Mountain,2020,987657000.0,438263000.0
+Iron Mountain,2021,758902000.0,611082000.0
+Iron Mountain,2022,927695000.0,875378000.0
+Procter & Gamble,2020,17403000000.0,3073000000.0
+Procter & Gamble,2021,18371000000.0,2787000000.0
+Procter & Gamble,2022,16723000000.0,3156000000.0
+","corporate,year,Free Cash Flow
+Iron Mountain,2020,549394000.0
+Iron Mountain,2021,147820000.0
+Iron Mountain,2022,52317000.0
+Procter & Gamble,2020,14330000000.0
+Procter & Gamble,2021,15584000000.0
+Procter & Gamble,2022,13567000000.0
+"
+US,fundamental,"From 2018 to 2022, how does the minimum of Free Cash Flow for DaVita compare to Seagate Technology as a ratio? (Indicator unit: $) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.6955,hard,cash flow,CFO - Capex,"corporate,year,NetCashFromOperatingActivities,CapitalExpenses
+DaVita,2018,1771640000.0,987138000.0
+DaVita,2019,2072355000.0,766546000.0
+DaVita,2020,1979028000.0,674541000.0
+DaVita,2021,1930876000.0,641465000.0
+DaVita,2022,1564570000.0,603429000.0
+Seagate Technology,2018,2113000000.0,366000000.0
+Seagate Technology,2019,1761000000.0,602000000.0
+Seagate Technology,2020,1714000000.0,585000000.0
+Seagate Technology,2021,1626000000.0,498000000.0
+Seagate Technology,2022,1657000000.0,381000000.0
+","corporate,year,Free Cash Flow
+DaVita,2018,784502000.0
+DaVita,2019,1305809000.0
+DaVita,2020,1304487000.0
+DaVita,2021,1289411000.0
+DaVita,2022,961141000.0
+Seagate Technology,2018,1747000000.0
+Seagate Technology,2019,1159000000.0
+Seagate Technology,2020,1129000000.0
+Seagate Technology,2021,1128000000.0
+Seagate Technology,2022,1276000000.0
+"
+US,fundamental,"Over 2021-2023, what is the ratio of Baxter International to Marsh McLennan for the CAGR of Free Cash Flow? (Indicator unit: $) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-1.47,hard,cash flow,CFO - Capex,"corporate,year,NetCashFromOperatingActivities,CapitalExpenses
+Baxter International,2021,2222000000.0,743000000.0
+Baxter International,2022,1211000000.0,679000000.0
+Baxter International,2023,1726000000.0,692000000.0
+Marsh McLennan,2021,3516000000.0,406000000.0
+Marsh McLennan,2022,3465000000.0,470000000.0
+Marsh McLennan,2023,4258000000.0,416000000.0
+","corporate,year,Free Cash Flow
+Baxter International,2021,1479000000.0
+Baxter International,2022,532000000.0
+Baxter International,2023,1034000000.0
+Marsh McLennan,2021,3110000000.0
+Marsh McLennan,2022,2995000000.0
+Marsh McLennan,2023,3842000000.0
+"
+US,fundamental,"Calculate the CAGR of Free Cash Flow for General Dynamics and Xylem Inc. separately from 2016 to 2020, and compute the ratio of General Dynamics to Xylem Inc.. (Indicator unit: $) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.8611,hard,cash flow,CFO - Capex,"corporate,year,NetCashFromOperatingActivities,CapitalExpenses
+General Dynamics,2016,2198000000.0,392000000.0
+General Dynamics,2017,3879000000.0,428000000.0
+General Dynamics,2018,3148000000.0,690000000.0
+General Dynamics,2019,2981000000.0,987000000.0
+General Dynamics,2020,3858000000.0,967000000.0
+Xylem Inc.,2016,497000000.0,124000000.0
+Xylem Inc.,2017,686000000.0,170000000.0
+Xylem Inc.,2018,586000000.0,237000000.0
+Xylem Inc.,2019,839000000.0,226000000.0
+Xylem Inc.,2020,824000000.0,183000000.0
+","corporate,year,Free Cash Flow
+General Dynamics,2016,1806000000.0
+General Dynamics,2017,3451000000.0
+General Dynamics,2018,2458000000.0
+General Dynamics,2019,1994000000.0
+General Dynamics,2020,2891000000.0
+Xylem Inc.,2016,373000000.0
+Xylem Inc.,2017,516000000.0
+Xylem Inc.,2018,349000000.0
+Xylem Inc.,2019,613000000.0
+Xylem Inc.,2020,641000000.0
+"
+US,fundamental,"Comparing the average of Free Cash Flow to Firm from 2016 to 2018, what is the ratio of Estée Lauder Companies (The) to Paycom? (Indicator unit: $) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",18.5694,hard,cash flow,CFO - Capex + Interest Expense x (1 - effective tax rate),"corporate,year,NetCashFromOperatingActivities,CapitalExpenses,InterestExpense,IncomeTaxes,PretaxIncomeLoss
+Estée Lauder Companies (The),2016,1788700000.0,525300000.0,70700000.0,434400000.0,1555200000.0
+Estée Lauder Companies (The),2017,1800000000.0,504000000.0,103000000.0,361000000.0,1617000000.0
+Estée Lauder Companies (The),2018,2573000000.0,629000000.0,128000000.0,863000000.0,1980000000.0
+Paycom,2016,98953000.0,43805000.0,1036000.0,13403000.0,57243000.0
+Paycom,2017,130600000.0,59389000.0,911000.0,9840000.0,76647000.0
+Paycom,2018,184817000.0,59906000.0,766000.0,37646000.0,174711000.0
+","corporate,year,Free Cash Flow to Firm
+Estée Lauder Companies (The),2016,1314352006.1728394
+Estée Lauder Companies (The),2017,1376004947.433519
+Estée Lauder Companies (The),2018,2016210101.010101
+Paycom,2016,55941428.7161749
+Paycom,2017,72005045.12896787
+Paycom,2018,125511945.50428994
+"
+US,fundamental,"What is the ratio of Rollins to FirstEnergy in terms of the minimum of Free Cash Flow to Firm from 2018 to 2022? (Indicator unit: $) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-0.5074,hard,cash flow,CFO - Capex + Interest Expense x (1 - effective tax rate),"corporate,year,NetCashFromOperatingActivities,CapitalExpenses,InterestExpense,IncomeTaxes,PretaxIncomeLoss
+Rollins,2018,286272000.0,27179000.0,25000.0,77351000.0,310733000.0
+Rollins,2019,309188000.0,27146000.0,6452000.0,75812000.0,261160000.0
+Rollins,2020,435785000.0,23229000.0,5056000.0,81184000.0,354720000.0
+Rollins,2021,401805000.0,27194000.0,1313000.0,119762000.0,474838000.0
+Rollins,2022,465930000.0,30628000.0,4162000.0,119573000.0,498917000.0
+FirstEnergy,2018,1410000000.0,2675000000.0,1116000000.0,490000000.0,1512000000.0
+FirstEnergy,2019,2467000000.0,2665000000.0,1033000000.0,213000000.0,1117000000.0
+FirstEnergy,2020,1423000000.0,2657000000.0,1065000000.0,126000000.0,1129000000.0
+FirstEnergy,2021,2811000000.0,2445000000.0,1141000000.0,320000000.0,1559000000.0
+FirstEnergy,2022,2683000000.0,2756000000.0,1021000000.0,1000000000.0,1439000000.0
+","corporate,year,Free Cash Flow to Firm
+FirstEnergy,2018,-510666666.6666666
+FirstEnergy,2019,638017905.1029544
+FirstEnergy,2020,-287857395.9255979
+FirstEnergy,2021,1272798588.8389993
+FirstEnergy,2022,238479499.6525365
+Rollins,2018,259111776.7311486
+Rollins,2019,286621052.289784
+Rollins,2020,416454844.2038791
+Rollins,2021,375592839.67584735
+Rollins,2022,438466513.79287535
+"
+US,fundamental,"From 2018 to 2022, how does the average of Free Cash Flow to Firm for Allegion compare to Fair Isaac as a ratio? (Indicator unit: $) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.2619,hard,cash flow,CFO - Capex + Interest Expense x (1 - effective tax rate),"corporate,year,NetCashFromOperatingActivities,CapitalExpenses,InterestExpense,IncomeTaxes,PretaxIncomeLoss
+Allegion,2018,457800000.0,49100000.0,54000000.0,39800000.0,475200000.0
+Allegion,2019,488200000.0,65600000.0,56000000.0,73100000.0,475200000.0
+Allegion,2020,490300000.0,47100000.0,51100000.0,50900000.0,365400000.0
+Allegion,2021,488600000.0,45400000.0,50200000.0,40700000.0,524000000.0
+Allegion,2022,459500000.0,64000000.0,75900000.0,56200000.0,514500000.0
+Fair Isaac,2018,223052000.0,31299000.0,31311000.0,45595000.0,188010000.0
+Fair Isaac,2019,260350000.0,23981000.0,39752000.0,23948000.0,216072000.0
+Fair Isaac,2020,364916000.0,21989000.0,42177000.0,20589000.0,257000000.0
+Fair Isaac,2021,423817000.0,7569000.0,40092000.0,81058000.0,473142000.0
+Fair Isaac,2022,509450000.0,6029000.0,68967000.0,97768000.0,471309000.0
+","corporate,year,Free Cash Flow to Firm
+Allegion,2018,458177272.72727275
+Allegion,2019,469985521.8855219
+Allegion,2020,487181800.7662835
+Allegion,2021,489500877.86259544
+Allegion,2022,463109271.13702625
+Fair Isaac,2018,215470653.66203925
+Fair Isaac,2019,271715149.6538191
+Fair Isaac,2020,381725080.72762644
+Fair Isaac,2021,449471496.81068265
+Fair Isaac,2022,558081535.1202714
+"
+US,fundamental,"Over 2021-2023, what is the ratio of Cencora to Huntington Ingalls Industries for the maximum of Free Cash Flow to Firm? (Indicator unit: $) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",4.824,hard,cash flow,CFO - Capex + Interest Expense x (1 - effective tax rate),"corporate,year,NetCashFromOperatingActivities,CapitalExpenses,InterestExpense,IncomeTaxes,PretaxIncomeLoss
+Cencora,2021,2666586000.0,438217000.0,174074000.0,677251000.0,2221859000.0
+Cencora,2022,2703088000.0,496318000.0,210673000.0,516517000.0,2183057000.0
+Cencora,2023,3911334000.0,458359000.0,228931000.0,428260000.0,2160836000.0
+Huntington Ingalls Industries,2021,760000000.0,331000000.0,89000000.0,78000000.0,622000000.0
+Huntington Ingalls Industries,2022,766000000.0,284000000.0,102000000.0,140000000.0,719000000.0
+Huntington Ingalls Industries,2023,970000000.0,292000000.0,95000000.0,172000000.0,853000000.0
+","corporate,year,Free Cash Flow to Firm
+Cencora,2021,2349383021.5882287
+Cencora,2022,2367597216.797363
+Cencora,2023,3636533750.5280366
+Huntington Ingalls Industries,2021,506839228.29581994
+Huntington Ingalls Industries,2022,564139082.0584145
+Huntington Ingalls Industries,2023,753844079.7186401
+"
+US,fundamental,"Calculate the maximum of Free Cash Flow to Firm for Colgate-Palmolive and Weyerhaeuser separately from 2021 to 2025, and compute the ratio of Colgate-Palmolive to Weyerhaeuser. (Indicator unit: $) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.1221,hard,cash flow,CFO - Capex + Interest Expense x (1 - effective tax rate),"corporate,year,NetCashFromOperatingActivities,CapitalExpenses,InterestExpense,IncomeTaxes,PretaxIncomeLoss
+Colgate-Palmolive,2021,3325000000.0,567000000.0,194000000.0,749000000.0,3087000000.0
+Colgate-Palmolive,2022,2556000000.0,696000000.0,151000000.0,693000000.0,2660000000.0
+Colgate-Palmolive,2023,3745000000.0,705000000.0,280000000.0,937000000.0,3392000000.0
+Colgate-Palmolive,2024,4107000000.0,561000000.0,292000000.0,907000000.0,3956000000.0
+Colgate-Palmolive,2025,4198000000.0,564000000.0,267000000.0,798000000.0,3059000000.0
+Weyerhaeuser,2021,3159000000.0,0.0,313000000.0,609000000.0,3316000000.0
+Weyerhaeuser,2022,2832000000.0,0.0,270000000.0,566000000.0,2305000000.0
+Weyerhaeuser,2023,1433000000.0,0.0,280000000.0,63000000.0,937000000.0
+Weyerhaeuser,2024,1008000000.0,0.0,269000000.0,60000000.0,427000000.0
+Weyerhaeuser,2025,562000000.0,0.0,273000000.0,67000000.0,260000000.0
+","corporate,year,Free Cash Flow to Firm
+Colgate-Palmolive,2021,2904929705.2154193
+Colgate-Palmolive,2022,1971660526.3157895
+Colgate-Palmolive,2023,3242653301.886792
+Colgate-Palmolive,2024,3771052578.361982
+Colgate-Palmolive,2025,3831347826.0869565
+Weyerhaeuser,2021,3414515983.1121836
+Weyerhaeuser,2022,3035700650.759219
+Weyerhaeuser,2023,1694173959.4450374
+Weyerhaeuser,2024,1239201405.1522248
+Weyerhaeuser,2025,764650000.0
+"
+US,fundamental,"Comparing the average of Free Cash Flow to Equity from 2022 to 2024, what is the ratio of Ameren to J.B. Hunt? (Indicator unit: $; Net Borrowing is approximated as the year-over-year change in (short-term debt + long-term debt)) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.3369,hard,cash flow,CFO - Capex + Net Borrowing; Net Borrowing = delta(Short-Term Debt + Long-Term Debt),"corporate,year,NetCashFromOperatingActivities,CapitalExpenses,ShortTermDebt,LongTermDebt
+Ameren,2021,1661000000.0,2954000000.0,545000000.0,12562000000.0
+Ameren,2022,2263000000.0,3351000000.0,1070000000.0,13685000000.0
+Ameren,2023,2564000000.0,3597000000.0,536000000.0,15121000000.0
+Ameren,2024,2763000000.0,4319000000.0,1143000000.0,17262000000.0
+J.B. Hunt,2021,1223898000.0,60464000.0,0.0,945257000.0
+J.B. Hunt,2022,1776882000.0,107474000.0,0.0,1261738000.0
+J.B. Hunt,2023,1744618000.0,44692000.0,0.0,1326107000.0
+J.B. Hunt,2024,1483156000.0,73906000.0,0.0,977702000.0
+","corporate,year,Free Cash Flow to Equity
+Ameren,2022,560000000.0
+Ameren,2023,-131000000.0
+Ameren,2024,1192000000.0
+J.B. Hunt,2022,1985889000.0
+J.B. Hunt,2023,1764295000.0
+J.B. Hunt,2024,1060845000.0
+"
+US,fundamental,"What is the ratio of Accenture to Verisign in terms of the CAGR of Free Cash Flow to Equity from 2018 to 2020? (Indicator unit: $; Net Borrowing is approximated as the year-over-year change in (short-term debt + long-term debt)) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0559,hard,cash flow,CFO - Capex + Net Borrowing; Net Borrowing = delta(Short-Term Debt + Long-Term Debt),"corporate,year,NetCashFromOperatingActivities,CapitalExpenses,ShortTermDebt,LongTermDebt
+Accenture,2017,4973039000.0,515919000.0,2907000.0,22163000.0
+Accenture,2018,6026691000.0,619187000.0,5337000.0,19676000.0
+Accenture,2019,6626953000.0,599009000.0,6411000.0,16247000.0
+Accenture,2020,8215152000.0,599132000.0,7820000.0,54052000.0
+Verisign,2017,702761000.0,49499000.0,627616000.0,1782529000.0
+Verisign,2018,697767000.0,37007000.0,0.0,1785047000.0
+Verisign,2019,753892000.0,40316000.0,0.0,1787565000.0
+Verisign,2020,730183000.0,43395000.0,0.0,1790083000.0
+","corporate,year,Free Cash Flow to Equity
+Accenture,2018,5407447000.0
+Accenture,2019,6025589000.0
+Accenture,2020,7655234000.0
+Verisign,2018,35662000.0
+Verisign,2019,716094000.0
+Verisign,2020,689306000.0
+"
+US,fundamental,"From 2022 to 2024, how does the average of Free Cash Flow to Equity for Xcel Energy compare to Cigna as a ratio? (Indicator unit: $; Net Borrowing is approximated as the year-over-year change in (short-term debt + long-term debt)) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0436,hard,cash flow,CFO - Capex + Net Borrowing; Net Borrowing = delta(Short-Term Debt + Long-Term Debt),"corporate,year,NetCashFromOperatingActivities,CapitalExpenses,ShortTermDebt,LongTermDebt
+Xcel Energy,2021,2189000000.0,4244000000.0,1005000000.0,21779000000.0
+Xcel Energy,2022,3932000000.0,4638000000.0,813000000.0,22813000000.0
+Xcel Energy,2023,5327000000.0,5854000000.0,785000000.0,24913000000.0
+Xcel Energy,2024,4641000000.0,7364000000.0,695000000.0,27316000000.0
+Cigna,2021,7191000000.0,0.0,2545000000.0,31125000000.0
+Cigna,2022,8656000000.0,0.0,2993000000.0,28100000000.0
+Cigna,2023,11813000000.0,0.0,2775000000.0,28155000000.0
+Cigna,2024,10363000000.0,0.0,3035000000.0,28937000000.0
+","corporate,year,Free Cash Flow to Equity
+Cigna,2022,6079000000.0
+Cigna,2023,11650000000.0
+Cigna,2024,11405000000.0
+Xcel Energy,2022,136000000.0
+Xcel Energy,2023,1545000000.0
+Xcel Energy,2024,-410000000.0
+"
+US,fundamental,"Over 2019-2023, what is the ratio of Darden Restaurants to Cummins for the average of Free Cash Flow to Equity? (Indicator unit: $; Net Borrowing is approximated as the year-over-year change in (short-term debt + long-term debt)) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.2763,hard,cash flow,CFO - Capex + Net Borrowing; Net Borrowing = delta(Short-Term Debt + Long-Term Debt),"corporate,year,NetCashFromOperatingActivities,CapitalExpenses,ShortTermDebt,LongTermDebt
+Darden Restaurants,2018,1019800000.0,396000000.0,0.0,926500000.0
+Darden Restaurants,2019,1267600000.0,452000000.0,0.0,927700000.0
+Darden Restaurants,2020,717400000.0,459900000.0,270000000.0,928800000.0
+Darden Restaurants,2021,1193500000.0,254900000.0,0.0,929800000.0
+Darden Restaurants,2022,1264600000.0,376900000.0,0.0,901000000.0
+Darden Restaurants,2023,1552800000.0,564900000.0,0.0,884900000.0
+Cummins,2018,2378000000.0,709000000.0,780000000.0,1597000000.0
+Cummins,2019,3181000000.0,700000000.0,660000000.0,1576000000.0
+Cummins,2020,2722000000.0,528000000.0,323000000.0,3610000000.0
+Cummins,2021,2256000000.0,734000000.0,313000000.0,3579000000.0
+Cummins,2022,1962000000.0,916000000.0,2574000000.0,4498000000.0
+Cummins,2023,3966000000.0,1213000000.0,1496000000.0,4802000000.0
+","corporate,year,Free Cash Flow to Equity
+Cummins,2019,2340000000.0
+Cummins,2020,3891000000.0
+Cummins,2021,1481000000.0
+Cummins,2022,4226000000.0
+Cummins,2023,1979000000.0
+Darden Restaurants,2019,816800000.0
+Darden Restaurants,2020,528600000.0
+Darden Restaurants,2021,669600000.0
+Darden Restaurants,2022,858900000.0
+Darden Restaurants,2023,971800000.0
+"
+US,fundamental,"Calculate the average of Free Cash Flow to Equity for Sysco and Cadence Design Systems separately from 2018 to 2020, and compute the ratio of Sysco to Cadence Design Systems. (Indicator unit: $; Net Borrowing is approximated as the year-over-year change in (short-term debt + long-term debt)) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",5.7375,hard,cash flow,CFO - Capex + Net Borrowing; Net Borrowing = delta(Short-Term Debt + Long-Term Debt),"corporate,year,NetCashFromOperatingActivities,CapitalExpenses,ShortTermDebt,LongTermDebt
+Sysco,2017,2176425000.0,686378000.0,3938000.0,7660877000.0
+Sysco,2018,2158632000.0,687815000.0,4176000.0,7540765000.0
+Sysco,2019,2411207000.0,692391000.0,3957000.0,8122058000.0
+Sysco,2020,1618680000.0,720423000.0,2266000.0,12902485000.0
+Cadence Design Systems,2017,470740000.0,57901000.0,85000000.0,644369000.0
+Cadence Design Systems,2018,604751000.0,61503000.0,100000000.0,345291000.0
+Cadence Design Systems,2019,729600000.0,74605000.0,0.0,346019000.0
+Cadence Design Systems,2020,904922000.0,94813000.0,0.0,346793000.0
+","corporate,year,Free Cash Flow to Equity
+Cadence Design Systems,2018,259170000.0
+Cadence Design Systems,2019,555723000.0
+Cadence Design Systems,2020,810883000.0
+Sysco,2018,1350943000.0
+Sysco,2019,2299890000.0
+Sysco,2020,5676993000.0
+"
+US,fundamental,"Comparing the average of Operating Cash Flow Margin from 2018 to 2022, what is the ratio of Steel Dynamics to Copart? (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.3947,hard,cash flow,CFO / Revenue * 100%,"corporate,year,NetCashFromOperatingActivities,Revenue
+Steel Dynamics,2018,1415469000.0,11801609000.0
+Steel Dynamics,2019,1396290000.0,10451132000.0
+Steel Dynamics,2020,987032000.0,9587691000.0
+Steel Dynamics,2021,2204136000.0,18376743000.0
+Steel Dynamics,2022,4460403000.0,21469251000.0
+Copart,2018,535069000.0,1805695000.0
+Copart,2019,646646000.0,2041957000.0
+Copart,2020,917885000.0,2205583000.0
+Copart,2021,990891000.0,2692511000.0
+Copart,2022,1176683000.0,3500921000.0
+","corporate,year,Operating Cash Flow Margin
+Copart,2018,29.632302243734408
+Copart,2019,31.66795383056548
+Copart,2020,41.61643429424329
+Copart,2021,36.80174379974678
+Copart,2022,33.610669878012104
+Steel Dynamics,2018,11.99386456541646
+Steel Dynamics,2019,13.36017954801451
+Steel Dynamics,2020,10.294783175636345
+Steel Dynamics,2021,11.99416022741353
+Steel Dynamics,2022,20.77577368674855
+"
+US,fundamental,"What is the ratio of MGM Resorts to Zoetis in terms of the average of Operating Cash Flow Margin from 2019 to 2023? (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.2092,hard,cash flow,CFO / Revenue * 100%,"corporate,year,NetCashFromOperatingActivities,Revenue
+MGM Resorts,2019,1810401000.0,12899672000.0
+MGM Resorts,2020,-1493043000.0,5162082000.0
+MGM Resorts,2021,1373423000.0,9680140000.0
+MGM Resorts,2022,1756462000.0,13127485000.0
+MGM Resorts,2023,2690777000.0,16164249000.0
+Zoetis,2019,1795000000.0,6260000000.0
+Zoetis,2020,2126000000.0,6675000000.0
+Zoetis,2021,2213000000.0,7776000000.0
+Zoetis,2022,1912000000.0,8080000000.0
+Zoetis,2023,2353000000.0,8544000000.0
+","corporate,year,Operating Cash Flow Margin
+MGM Resorts,2019,14.034473124587974
+MGM Resorts,2020,-28.923271656668764
+MGM Resorts,2021,14.188048933176587
+MGM Resorts,2022,13.380034332547325
+MGM Resorts,2023,16.646470862951936
+Zoetis,2019,28.674121405750796
+Zoetis,2020,31.8501872659176
+Zoetis,2021,28.459362139917694
+Zoetis,2022,23.66336633663366
+Zoetis,2023,27.539794007490638
+"
+US,fundamental,"From 2017 to 2021, how does the minimum of Operating Cash Flow Margin for Elevance Health compare to Expeditors International as a ratio? (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.7905,hard,cash flow,CFO / Revenue * 100%,"corporate,year,NetCashFromOperatingActivities,Revenue
+Elevance Health,2017,4184800000.0,90039400000.0
+Elevance Health,2018,3827000000.0,92105000000.0
+Elevance Health,2019,6061000000.0,104213000000.0
+Elevance Health,2020,10688000000.0,121867000000.0
+Elevance Health,2021,8364000000.0,138639000000.0
+Expeditors International,2017,488639000.0,6920948000.0
+Expeditors International,2018,572804000.0,8138365000.0
+Expeditors International,2019,771935000.0,8175426000.0
+Expeditors International,2020,655012000.0,10116481000.0
+Expeditors International,2021,868494000.0,16523517000.0
+","corporate,year,Operating Cash Flow Margin
+Elevance Health,2017,4.647743099132158
+Elevance Health,2018,4.155040442972694
+Elevance Health,2019,5.8159730551850535
+Elevance Health,2020,8.770216711661073
+Elevance Health,2021,6.032934455672646
+Expeditors International,2017,7.060290006513559
+Expeditors International,2018,7.038317893090319
+Expeditors International,2019,9.442137938744722
+Expeditors International,2020,6.474702023361681
+Expeditors International,2021,5.256108611744098
+"
+US,fundamental,"Over 2018-2020, what is the ratio of Honeywell to Incyte for the minimum of Operating Cash Flow Margin? (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-3.2942,hard,cash flow,CFO / Revenue * 100%,"corporate,year,NetCashFromOperatingActivities,Revenue
+Honeywell,2018,6434000000.0,41802000000.0
+Honeywell,2019,6897000000.0,36709000000.0
+Honeywell,2020,6208000000.0,32637000000.0
+Incyte,2018,336227000.0,1881883000.0
+Incyte,2019,710656000.0,2158759000.0
+Incyte,2020,-124599000.0,2666702000.0
+","corporate,year,Operating Cash Flow Margin
+Honeywell,2018,15.391608057030764
+Honeywell,2019,18.7883080443488
+Honeywell,2020,19.02135612954622
+Incyte,2018,17.866519863349634
+Incyte,2019,32.91965430138334
+Incyte,2020,-4.672400590692173
+"
+US,fundamental,"Calculate the minimum of Operating Cash Flow Margin for Fidelity National Information Services and NRG Energy separately from 2020 to 2022, and compute the ratio of Fidelity National Information Services to NRG Energy. (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",23.7564,hard,cash flow,CFO / Revenue * 100%,"corporate,year,NetCashFromOperatingActivities,Revenue
+Fidelity National Information Services,2020,4442000000.0,12552000000.0
+Fidelity National Information Services,2021,4810000000.0,13877000000.0
+Fidelity National Information Services,2022,3939000000.0,14528000000.0
+NRG Energy,2020,1837000000.0,9093000000.0
+NRG Energy,2021,493000000.0,26989000000.0
+NRG Energy,2022,360000000.0,31543000000.0
+","corporate,year,Operating Cash Flow Margin
+Fidelity National Information Services,2020,35.38878266411727
+Fidelity National Information Services,2021,34.66167038985372
+Fidelity National Information Services,2022,27.11316079295154
+NRG Energy,2020,20.202353458704497
+NRG Energy,2021,1.8266701248656858
+NRG Energy,2022,1.1412991788986464
+"
+US,fundamental,"Comparing the maximum of Capex Intensity from 2017 to 2021, what is the ratio of eBay Inc. to Entergy? (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.4792,hard,cash flow,Capex / Revenue * 100%,"corporate,year,CapitalExpenses,Revenue
+eBay Inc.,2017,666000000.0,9567000000.0
+eBay Inc.,2018,651000000.0,10746000000.0
+eBay Inc.,2019,554000000.0,10800000000.0
+eBay Inc.,2020,494000000.0,10271000000.0
+eBay Inc.,2021,444000000.0,10420000000.0
+Entergy,2017,16762000.0,11074481000.0
+Entergy,2018,26623000.0,11009452000.0
+Entergy,2019,305472000.0,10878673000.0
+Entergy,2020,247121000.0,10113636000.0
+Entergy,2021,168304000.0,11742896000.0
+","corporate,year,Capex Intensity
+Entergy,2017,0.15135698006976578
+Entergy,2018,0.24181948383988594
+Entergy,2019,2.8079895406360684
+Entergy,2020,2.443443683359773
+Entergy,2021,1.4332409994945028
+eBay Inc.,2017,6.9614299153339605
+eBay Inc.,2018,6.058068118369626
+eBay Inc.,2019,5.12962962962963
+eBay Inc.,2020,4.809658261123552
+eBay Inc.,2021,4.2610364683301345
+"
+US,fundamental,"What is the ratio of Weyerhaeuser to Estée Lauder Companies (The) in terms of the average of Capex Intensity from 2016 to 2020? (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.742,hard,cash flow,Capex / Revenue * 100%,"corporate,year,CapitalExpenses,Revenue
+Weyerhaeuser,2016,451000000.0,6365000000.0
+Weyerhaeuser,2017,358000000.0,7196000000.0
+Weyerhaeuser,2018,368000000.0,7476000000.0
+Weyerhaeuser,2019,0.0,6554000000.0
+Weyerhaeuser,2020,0.0,7532000000.0
+Estée Lauder Companies (The),2016,525300000.0,11262300000.0
+Estée Lauder Companies (The),2017,504000000.0,11824000000.0
+Estée Lauder Companies (The),2018,629000000.0,13683000000.0
+Estée Lauder Companies (The),2019,744000000.0,14863000000.0
+Estée Lauder Companies (The),2020,623000000.0,14294000000.0
+","corporate,year,Capex Intensity
+Estée Lauder Companies (The),2016,4.664233771076956
+Estée Lauder Companies (The),2017,4.2625169147496615
+Estée Lauder Companies (The),2018,4.596945114375503
+Estée Lauder Companies (The),2019,5.005718899280091
+Estée Lauder Companies (The),2020,4.35847208619001
+Weyerhaeuser,2016,7.085624509033779
+Weyerhaeuser,2017,4.974986103390773
+Weyerhaeuser,2018,4.922418405564473
+Weyerhaeuser,2019,0.0
+Weyerhaeuser,2020,0.0
+"
+US,fundamental,"From 2021 to 2023, how does the maximum of Capex Intensity for Altria compare to Moody's Corporation as a ratio? (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.1578,hard,cash flow,Capex / Revenue * 100%,"corporate,year,CapitalExpenses,Revenue
+Altria,2021,169000000.0,26013000000.0
+Altria,2022,205000000.0,25096000000.0
+Altria,2023,196000000.0,24483000000.0
+Moody's Corporation,2021,139000000.0,6218000000.0
+Moody's Corporation,2022,283000000.0,5468000000.0
+Moody's Corporation,2023,271000000.0,5916000000.0
+","corporate,year,Capex Intensity
+Altria,2021,0.6496751624187905
+Altria,2022,0.8168632451386675
+Altria,2023,0.8005554874811093
+Moody's Corporation,2021,2.2354454808620137
+Moody's Corporation,2022,5.175566934893928
+Moody's Corporation,2023,4.58079783637593
+"
+US,fundamental,"Over 2020-2022, what is the ratio of Netflix to Centene Corporation for the average of Capex Intensity? (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.1485,hard,cash flow,Capex / Revenue * 100%,"corporate,year,CapitalExpenses,Revenue
+Netflix,2020,497923000.0,24996056000.0
+Netflix,2021,524585000.0,29697844000.0
+Netflix,2022,407729000.0,31615550000.0
+Centene Corporation,2020,869000000.0,103800000000.0
+Centene Corporation,2021,910000000.0,117983000000.0
+Centene Corporation,2022,1004000000.0,135479000000.0
+","corporate,year,Capex Intensity
+Centene Corporation,2020,0.8371868978805396
+Centene Corporation,2021,0.7712975598179399
+Centene Corporation,2022,0.7410742624318161
+Netflix,2020,1.9920062589074052
+Netflix,2021,1.76640768939321
+Netflix,2022,1.2896470249608183
+"
+US,fundamental,"Calculate the maximum of Capex Intensity for Norwegian Cruise Line Holdings and Cintas separately from 2019 to 2023, and compute the ratio of Norwegian Cruise Line Holdings to Cintas. (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",28.9377,hard,cash flow,Capex / Revenue * 100%,"corporate,year,CapitalExpenses,Revenue
+Norwegian Cruise Line Holdings,2019,1637170000.0,6462376000.0
+Norwegian Cruise Line Holdings,2020,946545000.0,1279908000.0
+Norwegian Cruise Line Holdings,2021,752843000.0,647986000.0
+Norwegian Cruise Line Holdings,2022,1783857000.0,4843760000.0
+Norwegian Cruise Line Holdings,2023,2750362000.0,8549924000.0
+Cintas,2019,276719000.0,6892303000.0
+Cintas,2020,230289000.0,7085120000.0
+Cintas,2021,143470000.0,7116340000.0
+Cintas,2022,240672000.0,7854459000.0
+Cintas,2023,331109000.0,8815769000.0
+","corporate,year,Capex Intensity
+Cintas,2019,4.014898938714679
+Cintas,2020,3.250318978365927
+Cintas,2021,2.0160644376182137
+Cintas,2022,3.064144837983113
+Cintas,2023,3.7558720061743904
+Norwegian Cruise Line Holdings,2019,25.33387100967198
+Norwegian Cruise Line Holdings,2020,73.95414357906974
+Norwegian Cruise Line Holdings,2021,116.1819854132651
+Norwegian Cruise Line Holdings,2022,36.827939451995974
+Norwegian Cruise Line Holdings,2023,32.16826254829868
+"
+US,fundamental,"Comparing the average of Cash Flow to Net Income from 2016 to 2020, what is the ratio of Cincinnati Financial to Public Storage? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.3011,hard,cash flow,CFO / Net Income,"corporate,year,NetCashFromOperatingActivities,NetIncome
+Cincinnati Financial,2016,1103000000.0,591000000.0
+Cincinnati Financial,2017,1052000000.0,1045000000.0
+Cincinnati Financial,2018,1181000000.0,287000000.0
+Cincinnati Financial,2019,1208000000.0,1997000000.0
+Cincinnati Financial,2020,1491000000.0,1216000000.0
+Public Storage,2016,1945336000.0,1453576000.0
+Public Storage,2017,1975679000.0,1442217000.0
+Public Storage,2018,2061503000.0,1711031000.0
+Public Storage,2019,2067643000.0,1520534000.0
+Public Storage,2020,2042902000.0,1357213000.0
+","corporate,year,Cash Flow to Net Income
+Cincinnati Financial,2016,1.8663282571912014
+Cincinnati Financial,2017,1.0066985645933015
+Cincinnati Financial,2018,4.114982578397212
+Cincinnati Financial,2019,0.6049073610415624
+Cincinnati Financial,2020,1.2261513157894737
+Public Storage,2016,1.3383104839375444
+Public Storage,2017,1.3698902453652952
+Public Storage,2018,1.204830888511079
+Public Storage,2019,1.3598137233366698
+Public Storage,2020,1.5052184145008927
+"
+US,fundamental,"What is the ratio of Comcast to Qualcomm in terms of the maximum of Cash Flow to Net Income from 2021 to 2023? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.1482,hard,cash flow,CFO / Net Income,"corporate,year,NetCashFromOperatingActivities,NetIncome
+Comcast,2021,29146000000.0,14159000000.0
+Comcast,2022,26413000000.0,5370000000.0
+Comcast,2023,28501000000.0,15388000000.0
+Qualcomm,2021,10536000000.0,9043000000.0
+Qualcomm,2022,9096000000.0,12936000000.0
+Qualcomm,2023,11299000000.0,7232000000.0
+","corporate,year,Cash Flow to Net Income
+Comcast,2021,2.0584787061233136
+Comcast,2022,4.918621973929237
+Comcast,2023,1.8521575253444242
+Qualcomm,2021,1.1651000774079399
+Qualcomm,2022,0.7031539888682746
+Qualcomm,2023,1.5623617256637168
+"
+US,fundamental,"From 2016 to 2018, how does the maximum of Cash Flow to Net Income for Cboe Global Markets compare to Paccar as a ratio? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.2843,hard,cash flow,CFO / Net Income,"corporate,year,NetCashFromOperatingActivities,NetIncome
+Cboe Global Markets,2016,229563000.0,186820000.0
+Cboe Global Markets,2017,374400000.0,401700000.0
+Cboe Global Markets,2018,534700000.0,426500000.0
+Paccar,2016,2300800000.0,521700000.0
+Paccar,2017,2715800000.0,1675200000.0
+Paccar,2018,2992300000.0,2195100000.0
+","corporate,year,Cash Flow to Net Income
+Cboe Global Markets,2016,1.2287924205117224
+Cboe Global Markets,2017,0.9320388349514563
+Cboe Global Markets,2018,1.2536928487690504
+Paccar,2016,4.410197431474027
+Paccar,2017,1.6211795606494748
+Paccar,2018,1.363172520614095
+"
+US,fundamental,"Over 2020-2024, what is the ratio of FedEx to Revvity for the minimum of Cash Flow to Net Income? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",14.5738,hard,cash flow,CFO / Net Income,"corporate,year,NetCashFromOperatingActivities,NetIncome
+FedEx,2020,5097000000.0,1286000000.0
+FedEx,2021,10135000000.0,5231000000.0
+FedEx,2022,9832000000.0,3826000000.0
+FedEx,2023,8848000000.0,3972000000.0
+FedEx,2024,8312000000.0,4331000000.0
+Revvity,2020,892177000.0,727887000.0
+Revvity,2021,1410750000.0,943157000.0
+Revvity,2022,679810000.0,569179000.0
+Revvity,2023,91272000.0,693094000.0
+Revvity,2024,628299000.0,270385000.0
+","corporate,year,Cash Flow to Net Income
+FedEx,2020,3.963452566096423
+FedEx,2021,1.937488051997706
+FedEx,2022,2.569785676947203
+FedEx,2023,2.227593152064451
+FedEx,2024,1.9191872546755946
+Revvity,2020,1.2257081112865047
+Revvity,2021,1.4957742984466
+Revvity,2022,1.194369433868783
+Revvity,2023,0.13168776529590503
+Revvity,2024,2.3237198809105535
+"
+US,fundamental,"Calculate the maximum of Cash Flow to Net Income for Howmet Aerospace and T. Rowe Price separately from 2023 to 2025, and compute the ratio of Howmet Aerospace to T. Rowe Price. According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.4871,hard,cash flow,CFO / Net Income,"corporate,year,NetCashFromOperatingActivities,NetIncome
+Howmet Aerospace,2023,901000000.0,765000000.0
+Howmet Aerospace,2024,1298000000.0,1155000000.0
+Howmet Aerospace,2025,1884000000.0,1508000000.0
+T. Rowe Price,2023,1219100000.0,1788700000.0
+T. Rowe Price,2024,1685600000.0,2100100000.0
+T. Rowe Price,2025,1753400000.0,2087100000.0
+","corporate,year,Cash Flow to Net Income
+Howmet Aerospace,2023,1.1777777777777778
+Howmet Aerospace,2024,1.1238095238095238
+Howmet Aerospace,2025,1.2493368700265253
+T. Rowe Price,2023,0.6815564376362722
+T. Rowe Price,2024,0.8026284462644636
+T. Rowe Price,2025,0.8401130755593886
+"
+US,fundamental,"Comparing the minimum of Cash Flow to Debt from 2021 to 2025, what is the ratio of Hershey Company (The) to AT&T? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.7518,hard,cash flow,CFO / Total Debt; Total Debt = Short-Term Debt + Long-Term Debt,"corporate,year,NetCashFromOperatingActivities,ShortTermDebt,LongTermDebt
+Hershey Company (The),2021,2082884000.0,939423000.0,4086627000.0
+Hershey Company (The),2022,2327837000.0,693790000.0,3343977000.0
+Hershey Company (The),2023,2323190000.0,719839000.0,3789132000.0
+Hershey Company (The),2024,2531596000.0,1306976000.0,3190210000.0
+Hershey Company (The),2025,2277367000.0,218546000.0,4681194000.0
+AT&T,2021,41957000000.0,24630000000.0,152724000000.0
+AT&T,2022,35812000000.0,7467000000.0,128423000000.0
+AT&T,2023,38314000000.0,9477000000.0,127854000000.0
+AT&T,2024,38771000000.0,5089000000.0,118443000000.0
+AT&T,2025,40284000000.0,9011000000.0,127089000000.0
+","corporate,year,Cash Flow to Debt
+AT&T,2021,0.2365720536328473
+AT&T,2022,0.26353668408271397
+AT&T,2023,0.2789901770175707
+AT&T,2024,0.31385390020399573
+AT&T,2025,0.29598824393828066
+Hershey Company (The),2021,0.41441768386705263
+Hershey Company (The),2022,0.5765159307112074
+Hershey Company (The),2023,0.5152372902819734
+Hershey Company (The),2024,0.5629289070987946
+Hershey Company (The),2025,0.4647934380191602
+"
+US,fundamental,"What is the ratio of Salesforce to Regions Financial Corporation in terms of the maximum of Cash Flow to Debt from 2020 to 2024? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.5594,hard,cash flow,CFO / Total Debt; Total Debt = Short-Term Debt + Long-Term Debt,"corporate,year,NetCashFromOperatingActivities,ShortTermDebt,LongTermDebt
+Salesforce,2020,4801000000.0,0.0,2673000000.0
+Salesforce,2021,6000000000.0,0.0,10592000000.0
+Salesforce,2022,7111000000.0,1182000000.0,9419000000.0
+Salesforce,2023,10234000000.0,999000000.0,8427000000.0
+Salesforce,2024,13092000000.0,0.0,8433000000.0
+Regions Financial Corporation,2020,5865000000.0,0.0,3569000000.0
+Regions Financial Corporation,2021,7728000000.0,0.0,2407000000.0
+Regions Financial Corporation,2022,5221000000.0,0.0,2284000000.0
+Regions Financial Corporation,2023,4440000000.0,0.0,2330000000.0
+Regions Financial Corporation,2024,6297000000.0,500000000.0,5993000000.0
+","corporate,year,Cash Flow to Debt
+Regions Financial Corporation,2020,1.6433174558699917
+Regions Financial Corporation,2021,3.2106356460324057
+Regions Financial Corporation,2022,2.2859019264448337
+Regions Financial Corporation,2023,1.905579399141631
+Regions Financial Corporation,2024,0.9698136454643462
+Salesforce,2020,1.796109240553685
+Salesforce,2021,0.5664652567975831
+Salesforce,2022,0.6707857749268937
+Salesforce,2023,1.0857203479736899
+Salesforce,2024,1.5524724297403059
+"
+US,fundamental,"From 2020 to 2024, how does the minimum of Cash Flow to Debt for Invitation Homes compare to Freeport-McMoRan as a ratio? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.7939,hard,cash flow,CFO / Total Debt; Total Debt = Short-Term Debt + Long-Term Debt,"corporate,year,NetCashFromOperatingActivities,ShortTermDebt,LongTermDebt
+Invitation Homes,2020,696712000.0,339404000.0,2470907000.0
+Invitation Homes,2021,907660000.0,141397000.0,1921974000.0
+Invitation Homes,2022,1023587000.0,0.0,2518185000.0
+Invitation Homes,2023,1107088000.0,0.0,3305467000.0
+Invitation Homes,2024,1081805000.0,570000000.0,3800688000.0
+Freeport-McMoRan,2020,3017000000.0,0.0,9677000000.0
+Freeport-McMoRan,2021,7715000000.0,0.0,9078000000.0
+Freeport-McMoRan,2022,5139000000.0,0.0,9583000000.0
+Freeport-McMoRan,2023,5279000000.0,0.0,8656000000.0
+Freeport-McMoRan,2024,7160000000.0,0.0,8907000000.0
+","corporate,year,Cash Flow to Debt
+Freeport-McMoRan,2020,0.31177017670765733
+Freeport-McMoRan,2021,0.8498567966512448
+Freeport-McMoRan,2022,0.5362621308567255
+Freeport-McMoRan,2023,0.609865988909427
+Freeport-McMoRan,2024,0.8038621309082744
+Invitation Homes,2020,0.24791277548997245
+Invitation Homes,2021,0.43989180811400375
+Invitation Homes,2022,0.4064780784573016
+Invitation Homes,2023,0.33492635080005334
+Invitation Homes,2024,0.24751366375270895
+"
+US,fundamental,"Over 2020-2022, what is the ratio of Mondelez International to KeyCorp for the average of Cash Flow to Debt? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.2307,hard,cash flow,CFO / Total Debt; Total Debt = Short-Term Debt + Long-Term Debt,"corporate,year,NetCashFromOperatingActivities,ShortTermDebt,LongTermDebt
+Mondelez International,2020,3964000000.0,29000000.0,17276000000.0
+Mondelez International,2021,4141000000.0,216000000.0,17550000000.0
+Mondelez International,2022,3908000000.0,2299000000.0,20251000000.0
+KeyCorp,2020,14076000000.0,759000000.0,13709000000.0
+KeyCorp,2021,16114000000.0,588000000.0,12042000000.0
+KeyCorp,2022,12496000000.0,5386000000.0,19307000000.0
+","corporate,year,Cash Flow to Debt
+KeyCorp,2020,0.972905722974841
+KeyCorp,2021,1.2758511480601742
+KeyCorp,2022,0.5060543473858988
+Mondelez International,2020,0.2290667437156891
+Mondelez International,2021,0.23308566925588203
+Mondelez International,2022,0.17330376940133038
+"
+US,fundamental,"Calculate the minimum of Cash Flow to Debt for Martin Marietta Materials and S&P Global separately from 2021 to 2023, and compute the ratio of Martin Marietta Materials to S&P Global. According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.9388,hard,cash flow,CFO / Total Debt; Total Debt = Short-Term Debt + Long-Term Debt,"corporate,year,NetCashFromOperatingActivities,ShortTermDebt,LongTermDebt
+Martin Marietta Materials,2021,1137700000.0,0.0,5100800000.0
+Martin Marietta Materials,2022,991200000.0,0.0,4340900000.0
+Martin Marietta Materials,2023,1528400000.0,0.0,3945600000.0
+S&P Global,2021,3598000000.0,0.0,4114000000.0
+S&P Global,2022,2603000000.0,226000000.0,10730000000.0
+S&P Global,2023,3710000000.0,47000000.0,11412000000.0
+","corporate,year,Cash Flow to Debt
+Martin Marietta Materials,2021,0.22304344416562108
+Martin Marietta Materials,2022,0.22833974521412612
+Martin Marietta Materials,2023,0.38736820762368207
+S&P Global,2021,0.8745746232377248
+S&P Global,2022,0.23758671047827673
+S&P Global,2023,0.32376298106291995
+"
+US,fundamental,"Comparing the minimum of Earnings Per Share Basic from 2021 to 2025, what is the ratio of Duke Energy to Ameren? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.8673,hard,per share,(Net Income - Preferred Dividends) / Weighted-Average Basic Shares,"corporate,year,NetIncome,SharesAverage,PreferredDividendExpense
+Duke Energy,2021,3908000000.0,769000000.0,106000000.0
+Duke Energy,2022,2550000000.0,770000000.0,106000000.0
+Duke Energy,2023,2841000000.0,771000000.0,106000000.0
+Duke Energy,2024,4524000000.0,772000000.0,106000000.0
+Duke Energy,2025,4968000000.0,777000000.0,56000000.0
+Ameren,2021,943000000.0,256300000.0,5000000.0
+Ameren,2022,1075000000.0,258400000.0,5000000.0
+Ameren,2023,1152000000.0,262800000.0,5000000.0
+Ameren,2024,1184000000.0,266800000.0,5000000.0
+Ameren,2025,1487000000.0,270500000.0,5000000.0
+","corporate,year,Earnings Per Share Basic
+Ameren,2021,3.6597737026921577
+Ameren,2022,4.140866873065016
+Ameren,2023,4.364535768645358
+Ameren,2024,4.41904047976012
+Ameren,2025,5.478743068391867
+Duke Energy,2021,4.94408322496749
+Duke Energy,2022,3.174025974025974
+Duke Energy,2023,3.5473411154345005
+Duke Energy,2024,5.72279792746114
+Duke Energy,2025,6.321750321750322
+"
+US,fundamental,"What is the ratio of Fifth Third Bancorp to Prologis in terms of the minimum of Earnings Per Share Basic from 2021 to 2023? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.9788,hard,per share,(Net Income - Preferred Dividends) / Weighted-Average Basic Shares,"corporate,year,NetIncome,SharesAverage,PreferredDividendExpense
+Fifth Third Bancorp,2021,2770000000.0,702188552.0,111000000.0
+Fifth Third Bancorp,2022,2446000000.0,688633659.0,116000000.0
+Fifth Third Bancorp,2023,2349000000.0,684172079.0,137000000.0
+Prologis,2021,2939723000.0,739363000.0,6152000.0
+Prologis,2022,3364856000.0,785675000.0,6060000.0
+Prologis,2023,3059214000.0,924351000.0,5841000.0
+","corporate,year,Earnings Per Share Basic
+Fifth Third Bancorp,2021,3.786732199530362
+Fifth Third Bancorp,2022,3.3835116386606945
+Fifth Third Bancorp,2023,3.233104752291419
+Prologis,2021,3.9677005746838834
+Prologis,2022,4.275045024978522
+Prologis,2023,3.303261423420324
+"
+US,fundamental,"From 2022 to 2024, how does the minimum of Earnings Per Share Basic for Charles Schwab Corporation compare to Morgan Stanley as a ratio? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.4865,hard,per share,(Net Income - Preferred Dividends) / Weighted-Average Basic Shares,"corporate,year,NetIncome,SharesAverage,PreferredDividendExpense
+Charles Schwab Corporation,2022,7183000000.0,1885000000.0,548000000.0
+Charles Schwab Corporation,2023,5067000000.0,1824000000.0,418000000.0
+Charles Schwab Corporation,2024,5942000000.0,1828000000.0,464000000.0
+Morgan Stanley,2022,11029000000.0,1691000000.0,489000000.0
+Morgan Stanley,2023,9087000000.0,1628000000.0,557000000.0
+Morgan Stanley,2024,13390000000.0,1591000000.0,590000000.0
+","corporate,year,Earnings Per Share Basic
+Charles Schwab Corporation,2022,3.519893899204244
+Charles Schwab Corporation,2023,2.548793859649123
+Charles Schwab Corporation,2024,2.9967177242888403
+Morgan Stanley,2022,6.2329982259018335
+Morgan Stanley,2023,5.23955773955774
+Morgan Stanley,2024,8.045254556882464
+"
+US,fundamental,"Over 2016-2020, what is the ratio of Fifth Third Bancorp to Huntington Bancshares for the average of Earnings Per Share Basic? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.6804,hard,per share,(Net Income - Preferred Dividends) / Weighted-Average Basic Shares,"corporate,year,NetIncome,SharesAverage,PreferredDividendExpense
+Fifth Third Bancorp,2016,1564000000.0,757432291.0,75000000.0
+Fifth Third Bancorp,2017,2194000000.0,728289200.0,75000000.0
+Fifth Third Bancorp,2018,2193000000.0,673346168.0,75000000.0
+Fifth Third Bancorp,2019,2512000000.0,710433611.0,93000000.0
+Fifth Third Bancorp,2020,1427000000.0,714729585.0,104000000.0
+Huntington Bancshares,2016,711821000.0,904438000.0,65274000.0
+Huntington Bancshares,2017,1186000000.0,1084686000.0,76000000.0
+Huntington Bancshares,2018,1393000000.0,1081542000.0,70000000.0
+Huntington Bancshares,2019,1411000000.0,1038840000.0,74000000.0
+Huntington Bancshares,2020,817000000.0,1017117000.0,100000000.0
+","corporate,year,Earnings Per Share Basic
+Fifth Third Bancorp,2016,1.965852285006423
+Fifth Third Bancorp,2017,2.9095584556244964
+Fifth Third Bancorp,2018,3.145484597158946
+Fifth Third Bancorp,2019,3.4049627756139484
+Fifth Third Bancorp,2020,1.8510497225324736
+Huntington Bancshares,2016,0.7148604990060126
+Huntington Bancshares,2017,1.0233376295075256
+Huntington Bancshares,2018,1.22325346588482
+Huntington Bancshares,2019,1.2870124369489044
+Huntington Bancshares,2020,0.7049336507009518
+"
+US,fundamental,"Calculate the maximum of Earnings Per Share Basic for Progressive Corporation and Williams Companies separately from 2022 to 2024, and compute the ratio of Progressive Corporation to Williams Companies. According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",5.5423,hard,per share,(Net Income - Preferred Dividends) / Weighted-Average Basic Shares,"corporate,year,NetIncome,SharesAverage,PreferredDividendExpense
+Progressive Corporation,2022,721500000.0,584400000.0,26900000.0
+Progressive Corporation,2023,3902400000.0,584900000.0,37600000.0
+Progressive Corporation,2024,8480000000.0,585500000.0,17000000.0
+Williams Companies,2022,2049000000.0,1218362000.0,3000000.0
+Williams Companies,2023,3179000000.0,1217784000.0,3000000.0
+Williams Companies,2024,2225000000.0,1219184000.0,3000000.0
+","corporate,year,Earnings Per Share Basic
+Progressive Corporation,2022,1.1885694729637235
+Progressive Corporation,2023,6.60762523508292
+Progressive Corporation,2024,14.454312553373185
+Williams Companies,2022,1.679303852221261
+Williams Companies,2023,2.6080158714517516
+Williams Companies,2024,1.822530479402617
+"
+US,fundamental,"Comparing the minimum of Earnings Per Share Diluted from 2021 to 2023, what is the ratio of Morgan Stanley to Prologis? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.6154,hard,per share,(Net Income - Preferred Dividends) / Weighted-Average Diluted Shares,"corporate,year,NetIncome,SharesFullyDilutedAverage,PreferredDividendExpense
+Morgan Stanley,2021,15034000000.0,1814000000.0,468000000.0
+Morgan Stanley,2022,11029000000.0,1713000000.0,489000000.0
+Morgan Stanley,2023,9087000000.0,1646000000.0,557000000.0
+Prologis,2021,2939723000.0,764762000.0,6152000.0
+Prologis,2022,3364856000.0,811608000.0,6060000.0
+Prologis,2023,3059214000.0,951791000.0,5841000.0
+","corporate,year,Earnings Per Share Diluted
+Morgan Stanley,2021,8.029768467475193
+Morgan Stanley,2022,6.1529480443666085
+Morgan Stanley,2023,5.182260024301336
+Prologis,2021,3.8359267327613034
+Prologis,2022,4.138446146415511
+Prologis,2023,3.2080288634794822
+"
+US,fundamental,"What is the ratio of Fifth Third Bancorp to Prologis in terms of the minimum of Earnings Per Share Diluted from 2019 to 2021? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.9399,hard,per share,(Net Income - Preferred Dividends) / Weighted-Average Diluted Shares,"corporate,year,NetIncome,SharesFullyDilutedAverage,PreferredDividendExpense
+Fifth Third Bancorp,2019,2512000000.0,720065498.0,93000000.0
+Fifth Third Bancorp,2020,1427000000.0,719735415.0,104000000.0
+Fifth Third Bancorp,2021,2770000000.0,711197805.0,111000000.0
+Prologis,2019,1572959000.0,654903000.0,6009000.0
+Prologis,2020,1481814000.0,754414000.0,6345000.0
+Prologis,2021,2939723000.0,764762000.0,6152000.0
+","corporate,year,Earnings Per Share Diluted
+Fifth Third Bancorp,2019,3.359416617958829
+Fifth Third Bancorp,2020,1.8381754911976924
+Fifth Third Bancorp,2021,3.738762945141542
+Prologis,2019,2.39264440688163
+Prologis,2020,1.9557815735126867
+Prologis,2021,3.8359267327613034
+"
+US,fundamental,"From 2020 to 2024, how does the maximum of Earnings Per Share Diluted for Wells Fargo compare to Prologis as a ratio? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.2965,hard,per share,(Net Income - Preferred Dividends) / Weighted-Average Diluted Shares,"corporate,year,NetIncome,SharesFullyDilutedAverage,PreferredDividendExpense
+Wells Fargo,2020,3301000000.0,4134200000.0,1591000000.0
+Wells Fargo,2021,21548000000.0,4096200000.0,1292000000.0
+Wells Fargo,2022,13182000000.0,3837000000.0,1115000000.0
+Wells Fargo,2023,19142000000.0,3720400000.0,1160000000.0
+Wells Fargo,2024,19722000000.0,3467600000.0,1116000000.0
+Prologis,2020,1481814000.0,754414000.0,6345000.0
+Prologis,2021,2939723000.0,764762000.0,6152000.0
+Prologis,2022,3364856000.0,811608000.0,6060000.0
+Prologis,2023,3059214000.0,951791000.0,5841000.0
+Prologis,2024,3731635000.0,953590000.0,5881000.0
+","corporate,year,Earnings Per Share Diluted
+Prologis,2020,1.9557815735126867
+Prologis,2021,3.8359267327613034
+Prologis,2022,4.138446146415511
+Prologis,2023,3.2080288634794822
+Prologis,2024,3.9070816598328424
+Wells Fargo,2020,0.4136229500266073
+Wells Fargo,2021,4.945071041453054
+Wells Fargo,2022,3.144904873599166
+Wells Fargo,2023,4.833351252553489
+Wells Fargo,2024,5.365670780943592
+"
+US,fundamental,"Over 2017-2019, what is the ratio of Oneok to Allstate for the minimum of Earnings Per Share Diluted? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.2168,hard,per share,(Net Income - Preferred Dividends) / Weighted-Average Diluted Shares,"corporate,year,NetIncome,SharesFullyDilutedAverage,PreferredDividendExpense
+Oneok,2017,387841000.0,299780000.0,767000.0
+Oneok,2018,1151703000.0,414195000.0,1100000.0
+Oneok,2019,1278577000.0,415444000.0,1100000.0
+Allstate,2017,3189000000.0,367800000.0,116000000.0
+Allstate,2018,2252000000.0,353200000.0,148000000.0
+Allstate,2019,4847000000.0,333500000.0,169000000.0
+","corporate,year,Earnings Per Share Diluted
+Allstate,2017,8.355084284937465
+Allstate,2018,5.956964892412231
+Allstate,2019,14.026986506746626
+Oneok,2017,1.2911935419307492
+Oneok,2018,2.777925856178853
+Oneok,2019,3.0749679860582892
+"
+US,fundamental,"Calculate the average of Earnings Per Share Diluted for Prologis and KKR & Co. separately from 2019 to 2021, and compute the ratio of Prologis to KKR & Co.. According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.5863,hard,per share,(Net Income - Preferred Dividends) / Weighted-Average Diluted Shares,"corporate,year,NetIncome,SharesFullyDilutedAverage,PreferredDividendExpense
+Prologis,2019,1572959000.0,654903000.0,6009000.0
+Prologis,2020,1481814000.0,754414000.0,6345000.0
+Prologis,2021,2939723000.0,764762000.0,6152000.0
+KKR & Co.,2019,2005049000.0,557687512.0,33364000.0
+KKR & Co.,2020,2002509000.0,583685352.0,89919000.0
+KKR & Co.,2021,4666476000.0,633092865.0,142294000.0
+","corporate,year,Earnings Per Share Diluted
+KKR & Co.,2019,3.5354655744918313
+KKR & Co.,2020,3.276748325868558
+KKR & Co.,2021,7.146158565536827
+Prologis,2019,2.39264440688163
+Prologis,2020,1.9557815735126867
+Prologis,2021,3.8359267327613034
+"
+US,fundamental,"Comparing the minimum of Operating Cash Flow Per Share from 2021 to 2023, what is the ratio of Chipotle Mexican Grill to Abbott Laboratories? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",10.9211,hard,per share,CFO / Weighted-Average Basic Shares,"corporate,year,NetCashFromOperatingActivities,SharesAverage
+Chipotle Mexican Grill,2021,1282081000.0,28132000.0
+Chipotle Mexican Grill,2022,1323179000.0,27851000.0
+Chipotle Mexican Grill,2023,1783477000.0,27555000.0
+Abbott Laboratories,2021,10533000000.0,1775000000.0
+Abbott Laboratories,2022,9581000000.0,1753000000.0
+Abbott Laboratories,2023,7261000000.0,1740000000.0
+","corporate,year,Operating Cash Flow Per Share
+Abbott Laboratories,2021,5.934084507042254
+Abbott Laboratories,2022,5.465487735310895
+Abbott Laboratories,2023,4.172988505747126
+Chipotle Mexican Grill,2021,45.57375941987772
+Chipotle Mexican Grill,2022,47.509209723169725
+Chipotle Mexican Grill,2023,64.72426056976956
+"
+US,fundamental,"What is the ratio of TJX Companies to Analog Devices in terms of the maximum of Operating Cash Flow Per Share from 2023 to 2025? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.6339,hard,per share,CFO / Weighted-Average Basic Shares,"corporate,year,NetCashFromOperatingActivities,SharesAverage
+TJX Companies,2023,6057000000.0,1146000000.0
+TJX Companies,2024,6116000000.0,1128000000.0
+TJX Companies,2025,6874000000.0,1114000000.0
+Analog Devices,2023,4817634000.0,502232000.0
+Analog Devices,2024,3852529000.0,496166000.0
+Analog Devices,2025,4812202000.0,494381000.0
+","corporate,year,Operating Cash Flow Per Share
+Analog Devices,2023,9.592447315185014
+Analog Devices,2024,7.764596929253516
+Analog Devices,2025,9.733792358525106
+TJX Companies,2023,5.285340314136126
+TJX Companies,2024,5.421985815602837
+TJX Companies,2025,6.170556552962298
+"
+US,fundamental,"From 2023 to 2025, how does the CAGR of Operating Cash Flow Per Share for GE HealthCare compare to HP Inc. as a ratio? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-0.6814,hard,per share,CFO / Weighted-Average Basic Shares,"corporate,year,NetCashFromOperatingActivities,SharesAverage
+GE HealthCare,2023,2101000000.0,455000000.0
+GE HealthCare,2024,1955000000.0,456000000.0
+GE HealthCare,2025,1987000000.0,456000000.0
+HP Inc.,2023,3571000000.0,992000000.0
+HP Inc.,2024,3749000000.0,979000000.0
+HP Inc.,2025,3697000000.0,946000000.0
+","corporate,year,Operating Cash Flow Per Share
+GE HealthCare,2023,4.617582417582417
+GE HealthCare,2024,4.287280701754386
+GE HealthCare,2025,4.357456140350878
+HP Inc.,2023,3.599798387096774
+HP Inc.,2024,3.829417773237998
+HP Inc.,2025,3.9080338266384778
+"
+US,fundamental,"Over 2019-2021, what is the ratio of Oracle Corporation to Fiserv for the average of Operating Cash Flow Per Share? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.7616,hard,per share,CFO / Weighted-Average Basic Shares,"corporate,year,NetCashFromOperatingActivities,SharesAverage
+Oracle Corporation,2019,14551000000.0,3634000000.0
+Oracle Corporation,2020,13139000000.0,3211000000.0
+Oracle Corporation,2021,15887000000.0,2945000000.0
+Fiserv,2019,2795000000.0,512300000.0
+Fiserv,2020,4147000000.0,672100000.0
+Fiserv,2021,4034000000.0,662600000.0
+","corporate,year,Operating Cash Flow Per Share
+Fiserv,2019,5.4557876244388055
+Fiserv,2020,6.170212765957447
+Fiserv,2021,6.08813763960157
+Oracle Corporation,2019,4.004127682993946
+Oracle Corporation,2020,4.091871691061974
+Oracle Corporation,2021,5.394567062818336
+"
+US,fundamental,"Calculate the CAGR of Operating Cash Flow Per Share for Public Storage and Newmont separately from 2021 to 2023, and compute the ratio of Public Storage to Newmont. According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-0.5896,hard,per share,CFO / Weighted-Average Basic Shares,"corporate,year,NetCashFromOperatingActivities,SharesAverage
+Public Storage,2021,2543555000.0,174858000.0
+Public Storage,2022,3117141000.0,175257000.0
+Public Storage,2023,3246648000.0,175472000.0
+Newmont,2021,4279000000.0,799000000.0
+Newmont,2022,3220000000.0,794000000.0
+Newmont,2023,2763000000.0,841000000.0
+","corporate,year,Operating Cash Flow Per Share
+Newmont,2021,5.355444305381727
+Newmont,2022,4.055415617128464
+Newmont,2023,3.285374554102259
+Public Storage,2021,14.546403367303755
+Public Storage,2022,17.786114106711857
+Public Storage,2023,18.502370748609465
+"
+US,fundamental,"Comparing the minimum of Equity Multiplier from 2019 to 2021, what is the ratio of Keurig Dr Pepper to Universal Health Services? (Use the average of beginning and ending values) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.977,hard,solvency,Average Total Assets / Average Stockholders Equity,"corporate,year,Assets,AllEquityBalance
+Keurig Dr Pepper,2018,48918000000.0,22533000000.0
+Keurig Dr Pepper,2019,49518000000.0,23257000000.0
+Keurig Dr Pepper,2020,49779000000.0,23829000000.0
+Keurig Dr Pepper,2021,50598000000.0,24972000000.0
+Universal Health Services,2018,11265480000.0,5389262000.0
+Universal Health Services,2019,11668250000.0,5504105000.0
+Universal Health Services,2020,13476879000.0,6317146000.0
+Universal Health Services,2021,13093543000.0,6089664000.0
+","corporate,year,Equity Multiplier
+Keurig Dr Pepper,2019,2.1497270146320155
+Keurig Dr Pepper,2020,2.1088433929405768
+Keurig Dr Pepper,2021,2.056863588860884
+Universal Health Services,2019,2.105293065036733
+Universal Health Services,2020,2.1271123504610467
+Universal Health Services,2021,2.1415998149403435
+"
+US,fundamental,"What is the ratio of Coterra to Public Storage in terms of the minimum of Equity Multiplier from 2023 to 2025? (Use the average of beginning and ending values) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.8487,hard,solvency,Average Total Assets / Average Stockholders Equity,"corporate,year,Assets,AllEquityBalance
+Coterra,2022,20154000000.0,12659000000.0
+Coterra,2023,20415000000.0,13039000000.0
+Coterra,2024,21625000000.0,13122000000.0
+Coterra,2025,24241000000.0,14838000000.0
+Public Storage,2022,17552307000.0,10073402000.0
+Public Storage,2023,19809216000.0,10013178000.0
+Public Storage,2024,19754934000.0,9712606000.0
+Public Storage,2025,20208604000.0,9248128000.0
+","corporate,year,Equity Multiplier
+Coterra,2023,1.5786831660051366
+Coterra,2024,1.6069722105424105
+Coterra,2025,1.640414878397711
+Public Storage,2023,1.8600241056466555
+Public Storage,2024,2.005707352366831
+Public Storage,2025,2.107699944527464
+"
+US,fundamental,"From 2021 to 2023, how does the average of Equity Multiplier for Monster Beverage compare to Merck & Co. as a ratio? (Use the average of beginning and ending values) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.4316,hard,solvency,Average Total Assets / Average Stockholders Equity,"corporate,year,Assets,AllEquityBalance
+Monster Beverage,2020,6202716000.0,5160860000.0
+Monster Beverage,2021,7804784000.0,6566951000.0
+Monster Beverage,2022,8293105000.0,7025041000.0
+Monster Beverage,2023,9686522000.0,8228744000.0
+Merck & Co.,2020,91588000000.0,25317000000.0
+Merck & Co.,2021,105694000000.0,38184000000.0
+Merck & Co.,2022,109160000000.0,45991000000.0
+Merck & Co.,2023,106675000000.0,37581000000.0
+","corporate,year,Equity Multiplier
+Merck & Co.,2021,3.106754224342924
+Merck & Co.,2022,2.5524680724680726
+Merck & Co.,2023,2.5826233666778347
+Monster Beverage,2021,1.1943831632348099
+Monster Beverage,2022,1.1843656912099418
+Monster Beverage,2023,1.178699385103435
+"
+US,fundamental,"Over 2023-2025, what is the ratio of Datadog to CenterPoint Energy for the minimum of Equity Multiplier? (Use the average of beginning and ending values) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.4855,hard,solvency,Average Total Assets / Average Stockholders Equity,"corporate,year,Assets,AllEquityBalance
+Datadog,2022,3004852000.0,1410505000.0
+Datadog,2023,3936072000.0,2025354000.0
+Datadog,2024,5785339000.0,2714363000.0
+Datadog,2025,6643844000.0,3732206000.0
+CenterPoint Energy,2022,38546000000.0,10042000000.0
+CenterPoint Energy,2023,39715000000.0,9667000000.0
+CenterPoint Energy,2024,43768000000.0,10666000000.0
+CenterPoint Energy,2025,46534000000.0,11153000000.0
+","corporate,year,Equity Multiplier
+CenterPoint Energy,2023,3.9708255111877824
+CenterPoint Energy,2024,4.1057886194855655
+CenterPoint Energy,2025,4.138686465924194
+Datadog,2023,2.020142270098977
+Datadog,2024,2.051053048103927
+Datadog,2025,1.9280307090484876
+"
+US,fundamental,"Calculate the minimum of Equity Multiplier for Intuitive Surgical and Advanced Micro Devices separately from 2019 to 2021, and compute the ratio of Intuitive Surgical to Advanced Micro Devices. (Use the average of beginning and ending values) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.7128,hard,solvency,Average Total Assets / Average Stockholders Equity,"corporate,year,Assets,AllEquityBalance
+Intuitive Surgical,2018,7846700000.0,6678800000.0
+Intuitive Surgical,2019,9733200000.0,8263800000.0
+Intuitive Surgical,2020,11168900000.0,9731500000.0
+Intuitive Surgical,2021,13555000000.0,11901100000.0
+Advanced Micro Devices,2018,4556000000.0,1266000000.0
+Advanced Micro Devices,2019,6028000000.0,2827000000.0
+Advanced Micro Devices,2020,8962000000.0,5837000000.0
+Advanced Micro Devices,2021,12419000000.0,7497000000.0
+","corporate,year,Equity Multiplier
+Advanced Micro Devices,2019,2.5858783288541414
+Advanced Micro Devices,2020,1.7301477377654664
+Advanced Micro Devices,2021,1.603494825258737
+Intuitive Surgical,2019,1.176495389021991
+Intuitive Surgical,2020,1.1615310664451273
+Intuitive Surgical,2021,1.1429000674907315
+"
+US,fundamental,"Comparing the average of EBITDA from 2016 to 2020, what is the ratio of Aon plc to Fastenal? (Indicator unit: $; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0958,hard,valuation,EBITDA = EBIT + D&A = Pretax Income + Interest Expense + D&A,"corporate,year,PretaxIncomeLoss,InterestExpense,DepreciationExpense,AmortizationOfIntangibles
+Aon plc,2016,1669000000.0,282000000.0,232000000.0,0.0
+Aon plc,2017,685000000.0,282000000.0,187000000.0,704000000.0
+Aon plc,2018,1246000000.0,278000000.0,176000000.0,593000000.0
+Aon plc,2019,1871000000.0,307000000.0,172000000.0,0.0
+Aon plc,2020,2465000000.0,334000000.0,167000000.0,0.0
+Fastenal,2016,789729000.0,6504000.0,103525000.0,527000.0
+Fastenal,2017,873100000.0,9100000.0,123600000.0,3800000.0
+Fastenal,2018,987000000.0,12600000.0,134100000.0,4100000.0
+Fastenal,2019,1043700000.0,13900000.0,144600000.0,4100000.0
+Fastenal,2020,1132700000.0,9700000.0,153300000.0,9100000.0
+","corporate,year,EBITDA
+Aon plc,2016,2183000000.0
+Aon plc,2017,1858000000.0
+Aon plc,2018,2293000000.0
+Aon plc,2019,2350000000.0
+Aon plc,2020,2966000000.0
+Fastenal,2016,900285000.0
+Fastenal,2017,1009600000.0
+Fastenal,2018,1137800000.0
+Fastenal,2019,1206300000.0
+Fastenal,2020,1304800000.0
+"
+US,fundamental,"What is the ratio of Seagate Technology to F5 in terms of the minimum of EBITDA from 2017 to 2021? (Indicator unit: $; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.2316,hard,valuation,EBITDA = EBIT + D&A = Pretax Income + Interest Expense + D&A,"corporate,year,PretaxIncomeLoss,InterestExpense,Depreciation & Amortization
+Seagate Technology,2017,815000000.0,222000000.0,749000000.0
+Seagate Technology,2018,1418000000.0,236000000.0,598000000.0
+Seagate Technology,2019,1372000000.0,224000000.0,541000000.0
+Seagate Technology,2020,1032000000.0,201000000.0,379000000.0
+Seagate Technology,2021,1348000000.0,220000000.0,397000000.0
+F5,2017,575517000.0,0.0,61148000.0
+F5,2018,603760000.0,0.0,59491000.0
+F5,2019,541111000.0,0.0,68507000.0
+F5,2020,396397000.0,6568000.0,95857000.0
+F5,2021,386937000.0,5280000.0,115424000.0
+","corporate,year,EBITDA
+F5,2017,636665000.0
+F5,2018,663251000.0
+F5,2019,609618000.0
+F5,2020,498822000.0
+F5,2021,507641000.0
+Seagate Technology,2017,1786000000.0
+Seagate Technology,2018,2252000000.0
+Seagate Technology,2019,2137000000.0
+Seagate Technology,2020,1612000000.0
+Seagate Technology,2021,1965000000.0
+"
+US,fundamental,"From 2017 to 2019, how does the minimum of EBITDA for Cummins compare to CMS Energy as a ratio? (Indicator unit: $; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.7713,hard,valuation,EBITDA = EBIT + D&A = Pretax Income + Interest Expense + D&A,"corporate,year,PretaxIncomeLoss,InterestExpense,Depreciation & Amortization
+Cummins,2017,2365000000.0,81000000.0,583000000.0
+Cummins,2018,2753000000.0,114000000.0,611000000.0
+Cummins,2019,2834000000.0,109000000.0,672000000.0
+CMS Energy,2017,886000000.0,2000000.0,881000000.0
+CMS Energy,2018,774000000.0,3000000.0,933000000.0
+CMS Energy,2019,829000000.0,9000000.0,992000000.0
+","corporate,year,EBITDA
+CMS Energy,2017,1769000000.0
+CMS Energy,2018,1710000000.0
+CMS Energy,2019,1830000000.0
+Cummins,2017,3029000000.0
+Cummins,2018,3478000000.0
+Cummins,2019,3615000000.0
+"
+US,fundamental,"Over 2021-2025, what is the ratio of Altria to Builders FirstSource for the minimum of EBITDA? (Indicator unit: $; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.8158,hard,valuation,EBITDA = EBIT + D&A = Pretax Income + Interest Expense + D&A,"corporate,year,PretaxIncomeLoss,InterestExpense,Depreciation & Amortization
+Altria,2021,3824000000.0,1189000000.0,244000000.0
+Altria,2022,7389000000.0,1119000000.0,226000000.0
+Altria,2023,10928000000.0,1116000000.0,272000000.0
+Altria,2024,13658000000.0,1037000000.0,286000000.0
+Altria,2025,9389000000.0,1079000000.0,266000000.0
+Builders FirstSource,2021,2251547000.0,135877000.0,547352000.0
+Builders FirstSource,2022,3571833000.0,198373000.0,497140000.0
+Builders FirstSource,2023,1984204000.0,192115000.0,558275000.0
+Builders FirstSource,2024,1387525000.0,207724000.0,561929000.0
+Builders FirstSource,2025,512382000.0,273894000.0,591432000.0
+","corporate,year,EBITDA
+Altria,2021,5257000000.0
+Altria,2022,8734000000.0
+Altria,2023,12316000000.0
+Altria,2024,14981000000.0
+Altria,2025,10734000000.0
+Builders FirstSource,2021,2934776000.0
+Builders FirstSource,2022,4267346000.0
+Builders FirstSource,2023,2734594000.0
+Builders FirstSource,2024,2157178000.0
+Builders FirstSource,2025,1377708000.0
+"
+US,fundamental,"Calculate the maximum of EBITDA for Costco and Verizon separately from 2018 to 2020, and compute the ratio of Costco to Verizon. (Indicator unit: $; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.1596,hard,valuation,EBITDA = EBIT + D&A = Pretax Income + Interest Expense + D&A,"corporate,year,PretaxIncomeLoss,InterestExpense,Depreciation & Amortization
+Costco,2018,4442000000.0,159000000.0,1437000000.0
+Costco,2019,4765000000.0,150000000.0,1492000000.0
+Costco,2020,5367000000.0,160000000.0,1645000000.0
+Verizon,2018,19623000000.0,4833000000.0,17403000000.0
+Verizon,2019,22733000000.0,4730000000.0,16682000000.0
+Verizon,2020,23967000000.0,4247000000.0,16720000000.0
+","corporate,year,EBITDA
+Costco,2018,6038000000.0
+Costco,2019,6407000000.0
+Costco,2020,7172000000.0
+Verizon,2018,41859000000.0
+Verizon,2019,44145000000.0
+Verizon,2020,44934000000.0
+"
+US,fundamental,"Comparing the maximum of NOPAT from 2022 to 2024, what is the ratio of Iron Mountain to Zebra Technologies? (Indicator unit: $; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.6359,hard,valuation,NOPAT = EBIT x (1 - effective tax rate); EBIT = Pretax Income + Interest Expense; effective tax rate = Income Taxes / Pretax Income,"corporate,year,PretaxIncomeLoss,InterestExpense,IncomeTaxes
+Iron Mountain,2022,631638000.0,482673000.0,99631000.0
+Iron Mountain,2023,227206000.0,512446000.0,89599000.0
+Iron Mountain,2024,244538000.0,721559000.0,90742000.0
+Zebra Technologies,2022,544000000.0,58000000.0,81000000.0
+Zebra Technologies,2023,334000000.0,111000000.0,38000000.0
+Zebra Technologies,2024,635000000.0,55000000.0,107000000.0
+","corporate,year,NOPAT
+Iron Mountain,2022,938545895.2390451
+Iron Mountain,2023,447969211.92222035
+Iron Mountain,2024,607602312.1641626
+Zebra Technologies,2022,512363970.58823526
+Zebra Technologies,2023,394371257.48502994
+Zebra Technologies,2024,573732283.464567
+"
+US,fundamental,"What is the ratio of Aflac to Marsh McLennan in terms of the CAGR of NOPAT from 2018 to 2022? (Indicator unit: $; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.3044,hard,valuation,NOPAT = EBIT x (1 - effective tax rate); EBIT = Pretax Income + Interest Expense; effective tax rate = Income Taxes / Pretax Income,"corporate,year,PretaxIncomeLoss,InterestExpense,IncomeTaxes
+Aflac,2018,3983000000.0,222000000.0,998000000.0
+Aflac,2019,4445000000.0,228000000.0,1384000000.0
+Aflac,2020,4159000000.0,242000000.0,800000000.0
+Aflac,2021,5322000000.0,238000000.0,880000000.0
+Aflac,2022,4604000000.0,226000000.0,961000000.0
+Marsh McLennan,2018,2244000000.0,290000000.0,574000000.0
+Marsh McLennan,2019,2439000000.0,524000000.0,666000000.0
+Marsh McLennan,2020,2793000000.0,515000000.0,747000000.0
+Marsh McLennan,2021,4208000000.0,444000000.0,1034000000.0
+Marsh McLennan,2022,4082000000.0,469000000.0,995000000.0
+","corporate,year,NOPAT
+Aflac,2018,3151374592.0160685
+Aflac,2019,3218009673.7907763
+Aflac,2020,3554450348.6415005
+Aflac,2021,4640646373.54378
+Aflac,2022,3821826672.4587317
+Marsh McLennan,2018,1885819964.349376
+Marsh McLennan,2019,2153915129.1512914
+Marsh McLennan,2020,2423261009.6670246
+Marsh McLennan,2021,3508899239.5437264
+Marsh McLennan,2022,3441679813.8167567
+"
+US,fundamental,"From 2019 to 2023, how does the CAGR of NOPAT for Motorola Solutions compare to FactSet as a ratio? (Indicator unit: $; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.6555,hard,valuation,NOPAT = EBIT x (1 - effective tax rate); EBIT = Pretax Income + Interest Expense; effective tax rate = Income Taxes / Pretax Income,"corporate,year,PretaxIncomeLoss,InterestExpense,IncomeTaxes
+Motorola Solutions,2019,1001000000.0,221000000.0,130000000.0
+Motorola Solutions,2020,1174000000.0,217000000.0,221000000.0
+Motorola Solutions,2021,1552000000.0,207000000.0,302000000.0
+Motorola Solutions,2022,1515000000.0,226000000.0,148000000.0
+Motorola Solutions,2023,2146000000.0,234000000.0,432000000.0
+FactSet,2019,421965000.0,19509000.0,69175000.0
+FactSet,2020,427134000.0,12876000.0,54196000.0
+FactSet,2021,467617000.0,8021000.0,68027000.0
+FactSet,2022,443594000.0,29525000.0,46677000.0
+FactSet,2023,583954000.0,76524000.0,115781000.0
+","corporate,year,NOPAT
+FactSet,2019,369100784.33045393
+FactSet,2020,384180255.7979463
+FactSet,2021,406444137.87351614
+FactSet,2022,423335243.76569563
+FactSet,2023,529524528.80535114
+Motorola Solutions,2019,1063298701.2987013
+Motorola Solutions,2020,1129150766.6098807
+Motorola Solutions,2021,1416720360.8247423
+Motorola Solutions,2022,1570922112.2112212
+Motorola Solutions,2023,1900894687.7912395
+"
+US,fundamental,"Over 2020-2022, what is the ratio of Hubbell Incorporated to Edwards Lifesciences for the maximum of NOPAT? (Indicator unit: $; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.3359,hard,valuation,NOPAT = EBIT x (1 - effective tax rate); EBIT = Pretax Income + Interest Expense; effective tax rate = Income Taxes / Pretax Income,"corporate,year,PretaxIncomeLoss,InterestExpense,IncomeTaxes
+Hubbell Incorporated,2020,453500000.0,60300000.0,97500000.0
+Hubbell Incorporated,2021,459300000.0,16800000.0,88200000.0
+Hubbell Incorporated,2022,657000000.0,0.0,140200000.0
+Edwards Lifesciences,2020,916700000.0,15800000.0,93300000.0
+Edwards Lifesciences,2021,1702000000.0,18400000.0,198900000.0
+Edwards Lifesciences,2022,1767400000.0,19200000.0,245500000.0
+","corporate,year,NOPAT
+Edwards Lifesciences,2020,837591905.7488818
+Edwards Lifesciences,2021,1519349729.7297297
+Edwards Lifesciences,2022,1538433031.5718005
+Hubbell Incorporated,2020,403335832.41455346
+Hubbell Incorporated,2021,384673873.28543437
+Hubbell Incorporated,2022,516800000.0
+"
+US,fundamental,"Calculate the CAGR of NOPAT for Becton Dickinson and Cintas separately from 2022 to 2024, and compute the ratio of Becton Dickinson to Cintas. (Indicator unit: $; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.3064,hard,valuation,NOPAT = EBIT x (1 - effective tax rate); EBIT = Pretax Income + Interest Expense; effective tax rate = Income Taxes / Pretax Income,"corporate,year,PretaxIncomeLoss,InterestExpense,IncomeTaxes
+Becton Dickinson,2022,1783000000.0,398000000.0,148000000.0
+Becton Dickinson,2023,1662000000.0,452000000.0,132000000.0
+Becton Dickinson,2024,2005000000.0,528000000.0,300000000.0
+Cintas,2022,1498768000.0,88844000.0,263011000.0
+Cintas,2023,1693148000.0,111232000.0,345138000.0
+Cintas,2024,1973635000.0,100740000.0,402043000.0
+","corporate,year,NOPAT
+Becton Dickinson,2022,1999963544.5877733
+Becton Dickinson,2023,1946101083.032491
+Becton Dickinson,2024,2153997506.234414
+Cintas,2022,1309010228.5904157
+Cintas,2023,1436568028.193637
+Cintas,2024,1651810570.3435538
+"
+US,fundamental,"Among Steris, Adobe Inc., Intel, ResMed, how much lower is the Gross Margin for the top company compared to the second place in 2019? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",15.0073,hard,profitability,(Revenue - COGS) / Revenue * 100%,"corporate,year,Revenue,CostOfGoodsAndServicesSold
+Steris,2019,3030895000.0,1710972000.0
+Adobe Inc.,2019,11171297000.0,1672720000.0
+Intel,2019,71965000000.0,29825000000.0
+ResMed,2019,2606572000.0,1069987000.0
+","corporate,year,Gross Margin
+Adobe Inc.,2019,85.02662672024564
+Intel,2019,58.55624261793928
+ResMed,2019,58.95041456748557
+Steris,2019,43.54895171228301
+"
+US,fundamental,"Among State Street Corporation, Jacobs Solutions, F5, Amcor, what is the gap in Gross Margin between the highest-ranked company and the runner-up in 2022? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",16.4335,hard,profitability,(Revenue - COGS) / Revenue * 100%,"corporate,year,Revenue,CostOfGoodsAndServicesSold
+State Street Corporation,2022,12148000000.0,4428000000.0
+Jacobs Solutions,2022,14922825000.0,11595785000.0
+F5,2022,2695845000.0,539627000.0
+Amcor,2022,14544000000.0,11724000000.0
+","corporate,year,Gross Margin
+Amcor,2022,19.389438943894387
+F5,2022,79.98301089268857
+Jacobs Solutions,2022,22.29497430948899
+State Street Corporation,2022,63.54955548238394
+"
+US,fundamental,"In 2019, within Mondelez International, Fifth Third Bancorp, Omnicom Group, Generac, Advanced Micro Devices, by how much does the company with the lowest Gross Margin differ from the second-ranked company? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",272.6143,hard,profitability,(Revenue - COGS) / Revenue * 100%,"corporate,year,Revenue,CostOfGoodsAndServicesSold
+Mondelez International,2019,25868000000.0,15531000000.0
+Fifth Third Bancorp,2019,565000000.0,2001000000.0
+Omnicom Group,2019,14953700000.0,12194000000.0
+Generac,2019,2204336000.0,1406584000.0
+Advanced Micro Devices,2019,6731000000.0,3863000000.0
+","corporate,year,Gross Margin
+Advanced Micro Devices,2019,42.608824840291184
+Fifth Third Bancorp,2019,-254.15929203539824
+Generac,2019,36.19012709496193
+Mondelez International,2019,39.960569042832844
+Omnicom Group,2019,18.45496432321098
+"
+US,fundamental,"For Gross Margin in 2022, what is the difference between the top and second-place companies among Blackstone Inc., Nucor, Ingersoll Rand, PPL Corporation? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",11.1253,hard,profitability,(Revenue - COGS) / Revenue * 100%,"corporate,year,Revenue,CostOfGoodsAndServicesSold
+Blackstone Inc.,2022,8517673000.0,3532454000.0
+Nucor,2022,41512467000.0,29009187000.0
+Ingersoll Rand,2022,5916300000.0,3590700000.0
+PPL Corporation,2022,7902000000.0,2398000000.0
+","corporate,year,Gross Margin
+Blackstone Inc.,2022,58.52794536723821
+Ingersoll Rand,2022,39.30835150347345
+Nucor,2022,30.119337402905977
+PPL Corporation,2022,69.65325234117945
+"
+US,fundamental,"Among Qualcomm, Idexx Laboratories, Universal Health Services, calculate the margin between the lowest-Gross Margin company and the second-place company in 2017. (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.5767,hard,profitability,(Revenue - COGS) / Revenue * 100%,"corporate,year,Revenue,CostOfGoodsAndServicesSold
+Qualcomm,2017,22291000000.0,9792000000.0
+Idexx Laboratories,2017,1969058000.0,871676000.0
+Universal Health Services,2017,10409865000.0,4980637000.0
+","corporate,year,Gross Margin
+Idexx Laboratories,2017,55.731319239961444
+Qualcomm,2017,56.0719572921807
+Universal Health Services,2017,52.15464369614784
+"
+US,fundamental,"Among ServiceNow, Accenture, Ecolab, Norfolk Southern, Texas Instruments, how much lower is the EBIT Margin for the top company compared to the second place in 2022? (Unit: %; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",5.1563,hard,profitability,EBIT / Revenue * 100% = (Pretax Income + Interest Expense) / Revenue * 100%,"corporate,year,Revenue,PretaxIncomeLoss,InterestExpense
+ServiceNow,2022,7245000000.0,399000000.0,27000000.0
+Accenture,2022,61594305000.0,9196167000.0,47320000.0
+Ecolab,2022,14187800000.0,1343400000.0,222400000.0
+Norfolk Southern,2022,12745000000.0,4130000000.0,692000000.0
+Texas Instruments,2022,20028000000.0,10032000000.0,214000000.0
+","corporate,year,EBIT Margin
+Accenture,2022,15.007048135375504
+Ecolab,2022,11.036242405446933
+Norfolk Southern,2022,37.83444488034524
+ServiceNow,2022,5.879917184265011
+Texas Instruments,2022,51.15837827042141
+"
+US,fundamental,"Among Citigroup, AES Corporation, Ralph Lauren Corporation, DuPont, CBRE Group, what is the gap in EBIT Margin between the lowest-ranked company and the runner-up in 2025? (Unit: %; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.0265,hard,profitability,EBIT / Revenue * 100% = (Pretax Income + Interest Expense) / Revenue * 100%,"corporate,year,Revenue,PretaxIncomeLoss,InterestExpense
+Citigroup,2025,85225000000.0,19828000000.0,83072000000.0
+AES Corporation,2025,12233000000.0,75000000.0,1407000000.0
+Ralph Lauren Corporation,2025,8114500000.0,1177700000.0,54200000.0
+DuPont,2025,6849000000.0,200000000.0,313000000.0
+CBRE Group,2025,40550000000.0,1594000000.0,216000000.0
+","corporate,year,EBIT Margin
+AES Corporation,2025,12.114771519659936
+CBRE Group,2025,4.463625154130703
+Citigroup,2025,120.73921971252565
+DuPont,2025,7.490144546649145
+Ralph Lauren Corporation,2025,15.18146527820568
+"
+US,fundamental,"In 2025, within Brown & Brown, DaVita, Pfizer, by how much does the company with the highest EBIT Margin differ from the second-ranked company? (Unit: %; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",11.8679,hard,profitability,EBIT / Revenue * 100% = (Pretax Income + Interest Expense) / Revenue * 100%,"corporate,year,Revenue,PretaxIncomeLoss,InterestExpense
+Brown & Brown,2025,5902000000.0,1371000000.0,297000000.0
+DaVita,2025,13643069000.0,1346823000.0,579926000.0
+Pfizer,2025,62579000000.0,7520000000.0,2739000000.0
+","corporate,year,EBIT Margin
+Brown & Brown,2025,28.26160623517452
+DaVita,2025,14.122548233099167
+Pfizer,2025,16.393678390514392
+"
+US,fundamental,"For EBIT Margin in 2020, what is the difference between the top and second-place companies among Parker Hannifin, Howmet Aerospace, Amazon, Coterra? (Unit: %; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.807,hard,profitability,EBIT / Revenue * 100% = (Pretax Income + Interest Expense) / Revenue * 100%,"corporate,year,Revenue,PretaxIncomeLoss,InterestExpense
+Parker Hannifin,2020,13695520000.0,1512627000.0,308161000.0
+Howmet Aerospace,2020,5259000000.0,171000000.0,381000000.0
+Amazon,2020,386064000000.0,24178000000.0,1647000000.0
+Coterra,2020,1405220000.0,241123000.0,2961000.0
+","corporate,year,EBIT Margin
+Amazon,2020,6.689305400140909
+Coterra,2020,17.36980686298231
+Howmet Aerospace,2020,10.496292070735882
+Parker Hannifin,2020,13.294770844772597
+"
+US,fundamental,"Among CVS Health, Linde plc, Edwards Lifesciences, Tapestry, calculate the margin between the lowest-EBIT Margin company and the second-place company in 2019. (Unit: %; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",6.6576,hard,profitability,EBIT / Revenue * 100% = (Pretax Income + Interest Expense) / Revenue * 100%,"corporate,year,Revenue,PretaxIncomeLoss,InterestExpense
+CVS Health,2019,256776000000.0,8997000000.0,3035000000.0
+Linde plc,2019,28228000000.0,2927000000.0,275000000.0
+Edwards Lifesciences,2019,4348000000.0,1166500000.0,20700000.0
+Tapestry,2019,6027100000.0,766200000.0,45400000.0
+","corporate,year,EBIT Margin
+CVS Health,2019,4.68579618032838
+Edwards Lifesciences,2019,27.304507819687213
+Linde plc,2019,11.343347031316425
+Tapestry,2019,13.465845929219691
+"
+US,fundamental,"Among PTC Inc., Invesco, Amazon, how much higher is the EBITDA Margin for the top company compared to the second place in 2024? (Unit: %;  Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",9.8267,hard,profitability,(Pretax Income + Interest Expense + D&A) / Revenue * 100%,"corporate,year,Revenue,PretaxIncomeLoss,InterestExpense,Depreciation & Amortization
+PTC Inc.,2024,2298472000.0,468962000.0,119653000.0,108119000.0
+Invesco,2024,6067000000.0,1005300000.0,58000000.0,179600000.0
+Amazon,2024,637959000000.0,68614000000.0,2406000000.0,52795000000.0
+","corporate,year,EBITDA Margin
+Amazon,2024,19.407987033649498
+Invesco,2024,20.48623701994396
+PTC Inc.,2024,30.312920931819054
+"
+US,fundamental,"Among Jack Henry & Associates, Amgen, Caterpillar Inc., what is the gap in EBITDA Margin between the highest-ranked company and the runner-up in 2024? (Unit: %;  Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",14.0185,hard,profitability,(Pretax Income + Interest Expense + D&A) / Revenue * 100%,"corporate,year,Revenue,PretaxIncomeLoss,InterestExpense,Depreciation & Amortization
+Jack Henry & Associates,2024,2215543000.0,498019000.0,16384000.0,46342000.0
+Amgen,2024,33424000000.0,4609000000.0,3155000000.0,5592000000.0
+Caterpillar Inc.,2024,64809000000.0,13373000000.0,1286000000.0,2153000000.0
+","corporate,year,EBITDA Margin
+Amgen,2024,39.9593106749641
+Caterpillar Inc.,2024,25.940841549784754
+Jack Henry & Associates,2024,25.309596789590632
+"
+US,fundamental,"In 2025, within First Solar, Match Group, EPAM Systems, NRG Energy, Caterpillar Inc., by how much does the company with the highest EBITDA Margin differ from the second-ranked company? (Unit: %;  Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",13.7259,hard,profitability,(Pretax Income + Interest Expense + D&A) / Revenue * 100%,"corporate,year,Revenue,PretaxIncomeLoss,InterestExpense,Depreciation & Amortization
+First Solar,2025,5219376000.0,1580913000.0,44131000.0,529216000.0
+Match Group,2025,3487197000.0,746003000.0,147551000.0,67112000.0
+EPAM Systems,2025,5457056000.0,505624000.0,1397000.0,124811000.0
+NRG Energy,2025,30713000000.0,1134000000.0,741000000.0,1406000000.0
+Caterpillar Inc.,2025,67589000000.0,11541000000.0,1359000000.0,2262000000.0
+","corporate,year,EBITDA Margin
+Caterpillar Inc.,2025,22.43264436520736
+EPAM Systems,2025,11.578257580644216
+First Solar,2025,41.274282596233725
+Match Group,2025,27.548371944573248
+NRG Energy,2025,10.682772767232116
+"
+US,fundamental,"For EBITDA Margin in 2021, what is the difference between the top and second-place companies among Colgate-Palmolive, Textron, Diamondback Energy, Cigna? (Unit: %;  Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.9045,hard,profitability,(Pretax Income + Interest Expense + D&A) / Revenue * 100%,"corporate,year,Revenue,PretaxIncomeLoss,InterestExpense,DepreciationExpense,AmortizationOfIntangibles
+Colgate-Palmolive,2021,17421000000.0,3087000000.0,194000000.0,556000000.0,0.0
+Textron,2021,12382000000.0,873000000.0,142000000.0,390000000.0,0.0
+Diamondback Energy,2021,6747000000.0,2907000000.0,199000000.0,1275000000.0,0.0
+Cigna,2021,174078000000.0,6782000000.0,1253000000.0,2923000000.0,1998000000.0
+","corporate,year,EBITDA Margin
+Cigna,2021,7.442640655338412
+Colgate-Palmolive,2021,22.025142069915617
+Diamondback Energy,2021,64.9325626204239
+Textron,2021,11.347116782426102
+"
+US,fundamental,"Among Amgen, Synopsys, Salesforce, calculate the margin between the lowest-EBITDA Margin company and the second-place company in 2022. (Unit: %;  Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",11.4138,hard,profitability,(Pretax Income + Interest Expense + D&A) / Revenue * 100%,"corporate,year,Revenue,PretaxIncomeLoss,InterestExpense,Depreciation & Amortization
+Amgen,2022,26323000000.0,7346000000.0,1406000000.0,3417000000.0
+Synopsys,2022,5081542000.0,1115514000.0,1258000.0,228405000.0
+Salesforce,2022,31352000000.0,660000000.0,275000000.0,3786000000.0
+","corporate,year,EBITDA Margin
+Amgen,2022,46.229533107928425
+Salesforce,2022,15.058050523092625
+Synopsys,2022,26.471826858855046
+"
+US,fundamental,"Among Paycom, Tapestry, GE Aerospace, Lam Research, how much lower is the Net Profit Margin for the top company compared to the second place in 2025? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",16.3684,hard,profitability,Net Income / Revenue * 100%,"corporate,year,Revenue,NetIncome
+Paycom,2025,2051700000.0,453400000.0
+Tapestry,2025,7010700000.0,183200000.0
+GE Aerospace,2025,45855000000.0,8704000000.0
+Lam Research,2025,18435591000.0,5358217000.0
+","corporate,year,Net Profit Margin
+GE Aerospace,2025,18.98157234761749
+Lam Research,2025,29.064525243589966
+Paycom,2025,22.09874738022128
+Tapestry,2025,2.6131484730483403
+"
+US,fundamental,"Among NRG Energy, CME Group, Fifth Third Bancorp, Stanley Black & Decker, what is the gap in Net Profit Margin between the lowest-ranked company and the runner-up in 2018? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.5007,hard,profitability,Net Income / Revenue * 100%,"corporate,year,Revenue,NetIncome
+NRG Energy,2018,9478000000.0,268000000.0
+CME Group,2018,4309400000.0,1962200000.0
+Fifth Third Bancorp,2018,549000000.0,2193000000.0
+Stanley Black & Decker,2018,13982400000.0,605200000.0
+","corporate,year,Net Profit Margin
+CME Group,2018,45.53302083816773
+Fifth Third Bancorp,2018,399.45355191256834
+NRG Energy,2018,2.8276007596539356
+Stanley Black & Decker,2018,4.32829843231491
+"
+US,fundamental,"In 2016, within Martin Marietta Materials, Qualcomm, PulteGroup, Pentair, by how much does the company with the highest Net Profit Margin differ from the second-ranked company? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",13.0815,hard,profitability,Net Income / Revenue * 100%,"corporate,year,Revenue,NetIncome
+Martin Marietta Materials,2016,3818749000.0,425386000.0
+Qualcomm,2016,23554000000.0,5705000000.0
+PulteGroup,2016,7668476000.0,602703000.0
+Pentair,2016,4890000000.0,522200000.0
+","corporate,year,Net Profit Margin
+Martin Marietta Materials,2016,11.13940717234885
+Pentair,2016,10.678936605316974
+PulteGroup,2016,7.859488638942079
+Qualcomm,2016,24.22093911862104
+"
+US,fundamental,"For Net Profit Margin in 2016, what is the difference between the top and second-place companies among Carnival, AutoZone, Northrop Grumman, Costco? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",5.2882,hard,profitability,Net Income / Revenue * 100%,"corporate,year,Revenue,NetIncome
+Carnival,2016,16389000000.0,2779000000.0
+AutoZone,2016,10635676000.0,1241007000.0
+Northrop Grumman,2016,24508000000.0,2200000000.0
+Costco,2016,118719000000.0,2350000000.0
+","corporate,year,Net Profit Margin
+AutoZone,2016,11.668341532780802
+Carnival,2016,16.956495210201965
+Costco,2016,1.9794641127367987
+Northrop Grumman,2016,8.976660682226212
+"
+US,fundamental,"Among Chipotle Mexican Grill, ServiceNow, PulteGroup, Omnicom Group, calculate the margin between the highest-Net Profit Margin company and the second-place company in 2021. (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",4.1232,hard,profitability,Net Income / Revenue * 100%,"corporate,year,Revenue,NetIncome
+Chipotle Mexican Grill,2021,7547061000.0,652984000.0
+ServiceNow,2021,5896000000.0,230141000.0
+PulteGroup,2021,13926882000.0,1946320000.0
+Omnicom Group,2021,14289400000.0,1407800000.0
+","corporate,year,Net Profit Margin
+Chipotle Mexican Grill,2021,8.65216274255634
+Omnicom Group,2021,9.8520581689924
+PulteGroup,2021,13.975274580483987
+ServiceNow,2021,3.903341248303935
+"
+US,fundamental,"Among eBay Inc., Invitation Homes, Revvity, Williams Companies, Bio-Techne, how much higher is the Return on Equity for the top company compared to the second place in 2024? (Unit: %; Use the average of beginning and ending stockholders’ equity) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",16.2712,hard,profitability,Net Income / Average Stockholders Equity * 100%,"corporate,year,NetIncome,AllEquityBalance
+eBay Inc.,2023,2767000000.0,6396000000.0
+eBay Inc.,2024,1975000000.0,5158000000.0
+Invitation Homes,2023,519470000.0,10155971000.0
+Invitation Homes,2024,453917000.0,9756764000.0
+Revvity,2023,693094000.0,7872739000.0
+Revvity,2024,270385000.0,7666874000.0
+Williams Companies,2023,3179000000.0,12402000000.0
+Williams Companies,2024,2225000000.0,12436000000.0
+Bio-Techne,2023,285263000.0,1966516000.0
+Bio-Techne,2024,168105000.0,2068850000.0
+","corporate,year,Return on Equity
+Bio-Techne,2024,8.33158627990621
+Invitation Homes,2024,4.559062328705725
+Revvity,2024,3.4799450925837085
+Williams Companies,2024,17.916096304050246
+eBay Inc.,2024,34.18729444348278
+"
+US,fundamental,"Among Tapestry, McCormick & Company, Progressive Corporation, Roper Technologies, what is the gap in Return on Equity between the lowest-ranked company and the runner-up in 2025? (Unit: %; Use the average of beginning and ending stockholders’ equity) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.829,hard,profitability,Net Income / Average Stockholders Equity * 100%,"corporate,year,NetIncome,AllEquityBalance
+Tapestry,2024,816000000.0,2896900000.0
+Tapestry,2025,183200000.0,857800000.0
+McCormick & Company,2024,788500000.0,5291000000.0
+McCormick & Company,2025,789400000.0,5736500000.0
+Progressive Corporation,2024,8480000000.0,25591000000.0
+Progressive Corporation,2025,11308000000.0,30323000000.0
+Roper Technologies,2024,1549300000.0,18867600000.0
+Roper Technologies,2025,1536300000.0,19881500000.0
+","corporate,year,Return on Equity
+McCormick & Company,2025,14.316934935388801
+Progressive Corporation,2025,40.44783059698823
+Roper Technologies,2025,7.929474491020437
+Tapestry,2025,9.758436093429568
+"
+US,fundamental,"In 2023, within Kroger, CenterPoint Energy, Deckers Brands, JPMorgan Chase, by how much does the company with the highest Return on Equity differ from the second-ranked company? (Unit: %; Use the average of beginning and ending stockholders’ equity) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",30.5652,hard,profitability,Net Income / Average Stockholders Equity * 100%,"corporate,year,NetIncome,AllEquityBalance
+Kroger,2022,2244000000.0,10042000000.0
+Kroger,2023,2164000000.0,11615000000.0
+CenterPoint Energy,2022,1057000000.0,10042000000.0
+CenterPoint Energy,2023,917000000.0,9667000000.0
+Deckers Brands,2022,666082000.0,1765733000.0
+Deckers Brands,2023,978941000.0,2107468000.0
+JPMorgan Chase,2022,37676000000.0,292332000000.0
+JPMorgan Chase,2023,49552000000.0,327878000000.0
+","corporate,year,Return on Equity
+CenterPoint Energy,2023,9.305393475062154
+Deckers Brands,2023,50.549455088956144
+JPMorgan Chase,2023,15.979103851921122
+Kroger,2023,19.984300687999262
+"
+US,fundamental,"For Return on Equity in 2024, what is the difference between the top and second-place companies among Ameriprise Financial, Conagra Brands, Automatic Data Processing? (Unit: %; Use the average of beginning and ending stockholders’ equity) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",24.8261,hard,profitability,Net Income / Average Stockholders Equity * 100%,"corporate,year,NetIncome,AllEquityBalance
+Ameriprise Financial,2023,2556000000.0,4729000000.0
+Ameriprise Financial,2024,3401000000.0,5228000000.0
+Conagra Brands,2023,683600000.0,8736800000.0
+Conagra Brands,2024,347200000.0,8440400000.0
+Automatic Data Processing,2023,3412000000.0,3509100000.0
+Automatic Data Processing,2024,3752000000.0,4547600000.0
+","corporate,year,Return on Equity
+Ameriprise Financial,2024,68.31374912122126
+Automatic Data Processing,2024,93.1398711631313
+Conagra Brands,2024,4.042568055329157
+"
+US,fundamental,"Among Marathon Petroleum, TJX Companies, Valero Energy, Aptiv, Host Hotels & Resorts, calculate the margin between the lowest-Return on Equity company and the second-place company in 2023. (Unit: %; Use the average of beginning and ending stockholders’ equity) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",17.7728,hard,profitability,Net Income / Average Stockholders Equity * 100%,"corporate,year,NetIncome,AllEquityBalance
+Marathon Petroleum,2022,14516000000.0,27715000000.0
+Marathon Petroleum,2023,9681000000.0,24404000000.0
+TJX Companies,2022,3498000000.0,6364000000.0
+TJX Companies,2023,4474000000.0,7302000000.0
+Valero Energy,2022,11528000000.0,23561000000.0
+Valero Energy,2023,8835000000.0,26346000000.0
+Aptiv,2022,594000000.0,8809000000.0
+Aptiv,2023,2938000000.0,11548000000.0
+Host Hotels & Resorts,2022,633000000.0,6710000000.0
+Host Hotels & Resorts,2023,740000000.0,6633000000.0
+","corporate,year,Return on Equity
+Aptiv,2023,28.864763963255886
+Host Hotels & Resorts,2023,11.091958330210597
+Marathon Petroleum,2023,37.14959995395154
+TJX Companies,2023,65.4763647007171
+Valero Energy,2023,35.405854890095576
+"
+US,fundamental,"Among DTE Energy, Yum! Brands, CDW Corporation, how much higher is the Return on Assets for the top company compared to the second place in 2019? (Unit: %; Use the average of beginning and ending total assets) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",17.9309,hard,profitability,Net Income / Average Total Assets * 100%,"corporate,year,NetIncome,Assets
+DTE Energy,2018,1120000000.0,36288000000.0
+DTE Energy,2019,1169000000.0,41882000000.0
+Yum! Brands,2018,1542000000.0,4130000000.0
+Yum! Brands,2019,1294000000.0,5231000000.0
+CDW Corporation,2018,643000000.0,7167700000.0
+CDW Corporation,2019,736800000.0,7999400000.0
+","corporate,year,Return on Assets
+CDW Corporation,2019,9.715766362719307
+DTE Energy,2019,2.9909172316745556
+Yum! Brands,2019,27.64661895096678
+"
+US,fundamental,"Among Brown & Brown, Gartner, NVR, Deckers Brands, what is the gap in Return on Assets between the lowest-ranked company and the runner-up in 2023? (Unit: %; Use the average of beginning and ending total assets) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",5.6275,hard,profitability,Net Income / Average Total Assets * 100%,"corporate,year,NetIncome,Assets
+Brown & Brown,2022,671800000.0,13973500000.0
+Brown & Brown,2023,870500000.0,14883400000.0
+Gartner,2022,807799000.0,7299736000.0
+Gartner,2023,882466000.0,7835919000.0
+NVR,2022,1725575000.0,5660973000.0
+NVR,2023,1591611000.0,6601757000.0
+Deckers Brands,2022,666082000.0,2556203000.0
+Deckers Brands,2023,978941000.0,3135579000.0
+","corporate,year,Return on Assets
+Brown & Brown,2023,6.033219091447799
+Deckers Brands,2023,34.398401063146835
+Gartner,2023,11.66075733095132
+NVR,2023,25.95851005444954
+"
+US,fundamental,"In 2023, within Costco, Huntington Ingalls Industries, Elevance Health, by how much does the company with the highest Return on Assets differ from the second-ranked company? (Unit: %; Use the average of beginning and ending total assets) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.2796,hard,profitability,Net Income / Average Total Assets * 100%,"corporate,year,NetIncome,Assets
+Costco,2022,5844000000.0,64166000000.0
+Costco,2023,6292000000.0,68994000000.0
+Huntington Ingalls Industries,2022,579000000.0,10857000000.0
+Huntington Ingalls Industries,2023,681000000.0,11215000000.0
+Elevance Health,2022,6025000000.0,102772000000.0
+Elevance Health,2023,5987000000.0,108928000000.0
+","corporate,year,Return on Assets
+Costco,2023,9.450285370982277
+Elevance Health,2023,5.656117146905999
+Huntington Ingalls Industries,2023,6.170714026821312
+"
+US,fundamental,"For Return on Assets in 2025, what is the difference between the top and second-place companies among News Corp (Class A), Leidos, Johnson Controls, Automatic Data Processing? (Unit: %; Use the average of beginning and ending total assets) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.2419,hard,profitability,Net Income / Average Total Assets * 100%,"corporate,year,NetIncome,Assets
+News Corp (Class A),2024,266000000.0,16684000000.0
+News Corp (Class A),2025,1180000000.0,15504000000.0
+Leidos,2024,1254000000.0,13104000000.0
+Leidos,2025,1448000000.0,13493000000.0
+Johnson Controls,2024,1705000000.0,42695000000.0
+Johnson Controls,2025,3291000000.0,37939000000.0
+Automatic Data Processing,2024,3752000000.0,54362700000.0
+Automatic Data Processing,2025,4079700000.0,53369300000.0
+","corporate,year,Return on Assets
+Automatic Data Processing,2025,7.57379423012661
+Johnson Controls,2025,8.162809732867029
+Leidos,2025,10.888446065345715
+News Corp (Class A),2025,7.33192494097179
+"
+US,fundamental,"Among Deckers Brands, Huntington Ingalls Industries, Fastenal, PTC Inc., Jack Henry & Associates, calculate the margin between the lowest-Return on Assets company and the second-place company in 2018. (Unit: %; Use the average of beginning and ending total assets) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",10.8893,hard,profitability,Net Income / Average Total Assets * 100%,"corporate,year,NetIncome,Assets
+Deckers Brands,2017,114394000.0,1264379000.0
+Deckers Brands,2018,328934000.0,1427206000.0
+Huntington Ingalls Industries,2017,479000000.0,6374000000.0
+Huntington Ingalls Industries,2018,836000000.0,6383000000.0
+Fastenal,2017,578600000.0,2910500000.0
+Fastenal,2018,751900000.0,3321500000.0
+PTC Inc.,2017,6239000.0,2360384000.0
+PTC Inc.,2018,51987000.0,2329022000.0
+Jack Henry & Associates,2017,245793000.0,1908945000.0
+Jack Henry & Associates,2018,376660000.0,2050303000.0
+","corporate,year,Return on Assets
+Deckers Brands,2018,24.44165798219265
+Fastenal,2018,24.130295250320923
+Huntington Ingalls Industries,2018,13.106529748373442
+Jack Henry & Associates,2018,19.026845501974112
+PTC Inc.,2018,2.2172104526671395
+"
+US,fundamental,"Among EPAM Systems, Bio-Techne, Marathon Petroleum, how much higher is the Return on Invested Capital for the top company compared to the second place in 2022? (Unit: %;  Use the sum of Pretax Income and Interest Expense as EBIT; Use the average of beginning and ending invested capital. Total cash is deducted rather than excess cash. Operating lease liabilities are capitalized and included in debt per ASC 842.) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",4.463,hard,profitability,ROIC = NOPAT / Average Invested Capital * 100%; NOPAT = EBIT x (1 - effective tax rate); EBIT = Pretax Income + Interest Expense; effective tax rate = Income Taxes / Pretax Income; Invested Capital = Equity (incl. minority) + Total Debt (short + long-term debt + operating lease liabilities) - Cash and Short-Term Investments,"corporate,year,PretaxIncomeLoss,InterestExpense,IncomeTaxes,AllEquityBalanceIncludingMinorityInterest,ShortTermDebt,LongTermDebt,OperatingLeaseCurrentDebtEquivalent,OperatingLeaseNonCurrentDebtEquivalent,CashAndMarketableSecurities,ShortTermInvestments
+EPAM Systems,2021,533392000.0,413000.0,87317000.0,2495837000.0,16018000.0,30234000.0,50104000.0,142802000.0,1446625000.0,0.0
+EPAM Systems,2022,507258000.0,1659000.0,113188000.0,3003010000.0,2861000.0,27693000.0,40352000.0,122317000.0,1681344000.0,0.0
+Bio-Techne,2021,148175000.0,13952000.0,8590000.0,1571234000.0,0.0,328827000.0,11602000.0,67625000.0,199091000.0,0.0
+Bio-Techne,2022,301386000.0,11309000.0,38287000.0,1701011000.0,0.0,243410000.0,11928000.0,58133000.0,172567000.0,74462000.0
+Marathon Petroleum,2021,2817000000.0,1483000000.0,264000000.0,32616000000.0,0.0,24968000000.0,438000000.0,927000000.0,5548000000.0,0.0
+Marathon Petroleum,2022,20469000000.0,1000000000.0,4491000000.0,34119000000.0,0.0,25634000000.0,368000000.0,841000000.0,8625000000.0,3145000000.0
+","corporate,year,Return on Invested Capital
+Bio-Techne,2022,15.388854315905686
+EPAM Systems,2022,28.207084383548313
+Marathon Petroleum,2022,32.67005555187465
+"
+US,fundamental,"Among IBM, American Electric Power, Starbucks, United Parcel Service, 3M, what is the gap in Return on Invested Capital between the highest-ranked company and the runner-up in 2018? (Unit: %;  Use the sum of Pretax Income and Interest Expense as EBIT; Use the average of beginning and ending invested capital. Total cash is deducted rather than excess cash. Operating lease liabilities are capitalized and included in debt per ASC 842.) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",92.9565,hard,profitability,ROIC = NOPAT / Average Invested Capital * 100%; NOPAT = EBIT x (1 - effective tax rate); EBIT = Pretax Income + Interest Expense; effective tax rate = Income Taxes / Pretax Income; Invested Capital = Equity (incl. minority) + Total Debt (short + long-term debt + operating lease liabilities) - Cash and Short-Term Investments,"corporate,year,PretaxIncomeLoss,InterestExpense,IncomeTaxes,AllEquityBalanceIncludingMinorityInterest,ShortTermDebt,LongTermDebt,OperatingLeaseCurrentDebtEquivalent,OperatingLeaseNonCurrentDebtEquivalent,CashAndMarketableSecurities,ShortTermInvestments
+IBM,2017,11400000000.0,1208000000.0,1597000000.0,17725000000.0,6987000000.0,39837000000.0,0.0,0.0,11972000000.0,608000000.0
+IBM,2018,11342000000.0,1423000000.0,1745000000.0,16929000000.0,10207000000.0,35605000000.0,0.0,0.0,11379000000.0,618000000.0
+American Electric Power,2017,2816200000.0,895000000.0,901500000.0,18313600000.0,1638600000.0,19419600000.0,0.0,0.0,214600000.0,161700000.0
+American Electric Power,2018,1973500000.0,984400000.0,104300000.0,19059400000.0,1910000000.0,21648200000.0,0.0,0.0,234100000.0,159100000.0
+Starbucks,2017,4317500000.0,92500000.0,1389100000.0,5457000000.0,0.0,3932600000.0,0.0,0.0,2462300000.0,228600000.0
+Starbucks,2018,5780000000.0,170300000.0,1176900000.0,1175800000.0,0.0,9090200000.0,0.0,0.0,8756300000.0,181500000.0
+United Parcel Service,2017,7148000000.0,453000000.0,2238000000.0,1030000000.0,4011000000.0,20278000000.0,0.0,0.0,3320000000.0,749000000.0
+United Parcel Service,2018,6019000000.0,605000000.0,1228000000.0,3037000000.0,2805000000.0,19931000000.0,0.0,0.0,4225000000.0,810000000.0
+3M,2017,7548000000.0,0.0,2679000000.0,11622000000.0,1853000000.0,12096000000.0,0.0,0.0,3053000000.0,0.0
+3M,2018,7000000000.0,0.0,1637000000.0,9848000000.0,1211000000.0,13411000000.0,0.0,0.0,2853000000.0,380000000.0
+","corporate,year,Return on Invested Capital
+3M,2018,24.51376985487373
+American Electric Power,2018,6.8987383587646836
+IBM,2018,21.031548629844423
+Starbucks,2018,118.0710911894395
+United Parcel Service,2018,25.11464006923678
+"
+US,fundamental,"In 2022, within United Parcel Service, Dow Inc., IBM, Bio-Techne, by how much does the company with the highest Return on Invested Capital differ from the second-ranked company? (Unit: %;  Use the sum of Pretax Income and Interest Expense as EBIT; Use the average of beginning and ending invested capital. Total cash is deducted rather than excess cash. Operating lease liabilities are capitalized and included in debt per ASC 842.) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",24.2722,hard,profitability,ROIC = NOPAT / Average Invested Capital * 100%; NOPAT = EBIT x (1 - effective tax rate); EBIT = Pretax Income + Interest Expense; effective tax rate = Income Taxes / Pretax Income; Invested Capital = Equity (incl. minority) + Total Debt (short + long-term debt + operating lease liabilities) - Cash and Short-Term Investments,"corporate,year,PretaxIncomeLoss,InterestExpense,IncomeTaxes,AllEquityBalanceIncludingMinorityInterest,ShortTermDebt,LongTermDebt,OperatingLeaseCurrentDebtEquivalent,OperatingLeaseNonCurrentDebtEquivalent,CashAndMarketableSecurities,ShortTermInvestments
+United Parcel Service,2021,16595000000.0,694000000.0,3705000000.0,14269000000.0,0.0,19784000000.0,580000000.0,3033000000.0,10255000000.0,338000000.0
+United Parcel Service,2022,14825000000.0,704000000.0,3277000000.0,19803000000.0,0.0,17321000000.0,621000000.0,3238000000.0,5602000000.0,1993000000.0
+Dow Inc.,2021,8145000000.0,731000000.0,1740000000.0,18739000000.0,161000000.0,14280000000.0,314000000.0,1149000000.0,2988000000.0,0.0
+Dow Inc.,2022,6090000000.0,662000000.0,1450000000.0,21247000000.0,362000000.0,14698000000.0,287000000.0,997000000.0,3886000000.0,0.0
+IBM,2021,4837000000.0,1512000000.0,2103000000.0,18996000000.0,6787000000.0,44917000000.0,974000000.0,2462000000.0,6650000000.0,0.0
+IBM,2022,1156000000.0,1401000000.0,1865000000.0,22021000000.0,4760000000.0,46189000000.0,874000000.0,2190000000.0,7886000000.0,0.0
+Bio-Techne,2021,148175000.0,13952000.0,8590000.0,1571234000.0,0.0,328827000.0,11602000.0,67625000.0,199091000.0,0.0
+Bio-Techne,2022,301386000.0,11309000.0,38287000.0,1701011000.0,0.0,243410000.0,11928000.0,58133000.0,172567000.0,74462000.0
+","corporate,year,Return on Invested Capital
+Bio-Techne,2022,15.388854315905686
+Dow Inc.,2022,15.741679780847468
+IBM,2022,-2.3124936827498264
+United Parcel Service,2022,40.01384014831743
+"
+US,fundamental,"For Return on Invested Capital in 2019, what is the difference between the top and second-place companies among Moody's Corporation, PPG Industries, IBM, 3M? (Unit: %;  Use the sum of Pretax Income and Interest Expense as EBIT; Use the average of beginning and ending invested capital. Total cash is deducted rather than excess cash. Operating lease liabilities are capitalized and included in debt per ASC 842.) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",16.4727,hard,profitability,ROIC = NOPAT / Average Invested Capital * 100%; NOPAT = EBIT x (1 - effective tax rate); EBIT = Pretax Income + Interest Expense; effective tax rate = Income Taxes / Pretax Income; Invested Capital = Equity (incl. minority) + Total Debt (short + long-term debt + operating lease liabilities) - Cash and Short-Term Investments,"corporate,year,PretaxIncomeLoss,InterestExpense,IncomeTaxes,AllEquityBalanceIncludingMinorityInterest,ShortTermDebt,LongTermDebt,OperatingLeaseCurrentDebtEquivalent,OperatingLeaseNonCurrentDebtEquivalent,CashAndMarketableSecurities,ShortTermInvestments
+Moody's Corporation,2018,1671000000.0,216000000.0,351600000.0,656500000.0,0.0,5226100000.0,0.0,0.0,1685000000.0,132500000.0
+Moody's Corporation,2019,1810000000.0,208000000.0,381000000.0,831000000.0,0.0,5581000000.0,89000000.0,485000000.0,1832000000.0,98000000.0
+PPG Industries,2018,1693000000.0,118000000.0,353000000.0,4732000000.0,651000000.0,4365000000.0,0.0,0.0,902000000.0,61000000.0
+PPG Industries,2019,1661000000.0,132000000.0,392000000.0,5403000000.0,513000000.0,4539000000.0,170000000.0,622000000.0,1216000000.0,57000000.0
+IBM,2018,11342000000.0,1423000000.0,1745000000.0,16929000000.0,10207000000.0,35605000000.0,0.0,0.0,11379000000.0,618000000.0
+IBM,2019,10166000000.0,1685000000.0,2091000000.0,20985000000.0,8797000000.0,54102000000.0,1380000000.0,3879000000.0,8172000000.0,696000000.0
+3M,2018,7000000000.0,0.0,1637000000.0,9848000000.0,1211000000.0,13411000000.0,0.0,0.0,2853000000.0,380000000.0
+3M,2019,5712000000.0,0.0,1130000000.0,10126000000.0,0.0,17518000000.0,247000000.0,607000000.0,0.0,98000000.0
+","corporate,year,Return on Invested Capital
+3M,2019,18.462034369522733
+IBM,2019,14.369549046232184
+Moody's Corporation,2019,34.9347463482614
+PPG Industries,2019,14.604698354061574
+"
+US,fundamental,"Among IBM, PPG Industries, EPAM Systems, Bio-Techne, calculate the margin between the highest-Return on Invested Capital company and the second-place company in 2023. (Unit: %;  Use the sum of Pretax Income and Interest Expense as EBIT; Use the average of beginning and ending invested capital. Total cash is deducted rather than excess cash. Operating lease liabilities are capitalized and included in debt per ASC 842.) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",8.8681,hard,profitability,ROIC = NOPAT / Average Invested Capital * 100%; NOPAT = EBIT x (1 - effective tax rate); EBIT = Pretax Income + Interest Expense; effective tax rate = Income Taxes / Pretax Income; Invested Capital = Equity (incl. minority) + Total Debt (short + long-term debt + operating lease liabilities) - Cash and Short-Term Investments,"corporate,year,PretaxIncomeLoss,InterestExpense,IncomeTaxes,AllEquityBalanceIncludingMinorityInterest,ShortTermDebt,LongTermDebt,OperatingLeaseCurrentDebtEquivalent,OperatingLeaseNonCurrentDebtEquivalent,CashAndMarketableSecurities,ShortTermInvestments
+IBM,2022,1156000000.0,1401000000.0,1865000000.0,22021000000.0,4760000000.0,46189000000.0,874000000.0,2190000000.0,7886000000.0,0.0
+IBM,2023,8690000000.0,1668000000.0,1564000000.0,22613000000.0,6426000000.0,50121000000.0,820000000.0,2568000000.0,13068000000.0,0.0
+PPG Industries,2022,1381000000.0,167000000.0,325000000.0,6709000000.0,313000000.0,6503000000.0,183000000.0,636000000.0,1099000000.0,55000000.0
+PPG Industries,2023,1748000000.0,247000000.0,439000000.0,8023000000.0,306000000.0,5748000000.0,194000000.0,622000000.0,1514000000.0,75000000.0
+EPAM Systems,2022,507258000.0,1659000.0,113188000.0,3003010000.0,2861000.0,27693000.0,40352000.0,122317000.0,1681344000.0,0.0
+EPAM Systems,2023,536585000.0,4698000.0,177426000.0,3471470000.0,0.0,26126000.0,36558000.0,109261000.0,2036235000.0,60739000.0
+Bio-Techne,2022,301386000.0,11309000.0,38287000.0,1701011000.0,0.0,243410000.0,11928000.0,58133000.0,172567000.0,74462000.0
+Bio-Techne,2023,338659000.0,11215000.0,53217000.0,1966516000.0,0.0,350000000.0,11199000.0,93766000.0,180571000.0,23739000.0
+","corporate,year,Return on Invested Capital
+Bio-Techne,2023,14.801631008051036
+EPAM Systems,2023,23.669684077985558
+IBM,2023,12.34312551072866
+PPG Industries,2023,11.277779054158284
+"
+US,fundamental,"Among Microsoft, RTX Corporation, Broadcom, Nordson Corporation, Supermicro, how much lower is the Days Inventory Outstanding for the top company compared to the second place in 2022? (Use the average of beginning and ending inventory; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",34.357,hard,operational efficiency,Average Inventory / COGS * 365,"corporate,year,CostOfGoodsAndServicesSold,Inventories
+Microsoft,2021,52232000000.0,2636000000.0
+Microsoft,2022,62650000000.0,3742000000.0
+RTX Corporation,2021,51897000000.0,9178000000.0
+RTX Corporation,2022,53406000000.0,10617000000.0
+Broadcom,2021,10606000000.0,1297000000.0
+Broadcom,2022,11108000000.0,1925000000.0
+Nordson Corporation,2021,1038129000.0,327195000.0
+Nordson Corporation,2022,1163742000.0,383398000.0
+Supermicro,2021,3022884000.0,1040964000.0
+Supermicro,2022,4396098000.0,1545606000.0
+","corporate,year,Days Inventory Outstanding
+Broadcom,2022,52.93617212819589
+Microsoft,2022,18.579169992019153
+Nordson Corporation,2022,111.43640299997766
+RTX Corporation,2022,67.64385087817848
+Supermicro,2022,107.37909505202113
+"
+US,fundamental,"Among Snap-on, Lululemon Athletica, Sherwin-Williams, McCormick & Company, what is the gap in Days Inventory Outstanding between the highest-ranked company and the runner-up in 2022? (Use the average of beginning and ending inventory; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",18.1953,hard,operational efficiency,Average Inventory / COGS * 365,"corporate,year,CostOfGoodsAndServicesSold,Inventories
+Snap-on,2021,2218900000.0,803800000.0
+Snap-on,2022,2395400000.0,1033100000.0
+Lululemon Athletica,2021,2648052000.0,966481000.0
+Lululemon Athletica,2022,3618178000.0,1447367000.0
+Sherwin-Williams,2021,11401900000.0,1927200000.0
+Sherwin-Williams,2022,12823800000.0,2626500000.0
+McCormick & Company,2021,3823300000.0,1182300000.0
+McCormick & Company,2022,4076000000.0,1340100000.0
+","corporate,year,Days Inventory Outstanding
+Lululemon Athletica,2022,121.7538938106417
+McCormick & Company,2022,112.93866535819431
+Sherwin-Williams,2022,64.80530342020306
+Snap-on,2022,139.94917341571346
+"
+US,fundamental,"In 2024, within Ross Stores, Labcorp, Philip Morris International, CMS Energy, by how much does the company with the highest Days Inventory Outstanding differ from the second-ranked company? (Use the average of beginning and ending inventory; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",182.4134,hard,operational efficiency,Average Inventory / COGS * 365,"corporate,year,CostOfGoodsAndServicesSold,Inventories
+Ross Stores,2023,14801601000.0,2192220000.0
+Ross Stores,2024,15260506000.0,2444513000.0
+Labcorp,2023,8796700000.0,474600000.0
+Labcorp,2024,9384500000.0,493200000.0
+Philip Morris International,2023,12893000000.0,10774000000.0
+Philip Morris International,2024,13329000000.0,9453000000.0
+CMS Energy,2023,2277000000.0,587000000.0
+CMS Energy,2024,1973000000.0,435000000.0
+","corporate,year,Days Inventory Outstanding
+CMS Energy,2024,94.53370501773948
+Labcorp,2024,18.82076828813469
+Philip Morris International,2024,276.9470702978468
+Ross Stores,2024,55.45057106887543
+"
+US,fundamental,"For Days Inventory Outstanding in 2022, what is the difference between the top and second-place companies among Walmart, AES Corporation, Axon Enterprise? (Use the average of beginning and ending inventory; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",78.5958,hard,operational efficiency,Average Inventory / COGS * 365,"corporate,year,CostOfGoodsAndServicesSold,Inventories
+Walmart,2021,429000000000.0,56511000000.0
+Walmart,2022,463721000000.0,56576000000.0
+AES Corporation,2021,8430000000.0,604000000.0
+AES Corporation,2022,10069000000.0,1055000000.0
+Axon Enterprise,2021,322471000.0,108688000.0
+Axon Enterprise,2022,461297000.0,202471000.0
+","corporate,year,Days Inventory Outstanding
+AES Corporation,2022,30.06927202304102
+Axon Enterprise,2022,123.10185737171497
+Walmart,2022,44.506023018151
+"
+US,fundamental,"Among Stryker Corporation, Bristol Myers Squibb, Western Digital, calculate the margin between the lowest-Days Inventory Outstanding company and the second-place company in 2017. (Use the average of beginning and ending inventory; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",9.7656,hard,operational efficiency,Average Inventory / COGS * 365,"corporate,year,CostOfGoodsAndServicesSold,Inventories
+Stryker Corporation,2016,3830000000.0,2030000000.0
+Stryker Corporation,2017,4271000000.0,2465000000.0
+Bristol Myers Squibb,2016,4946000000.0,1241000000.0
+Bristol Myers Squibb,2017,6066000000.0,1166000000.0
+Western Digital,2016,9559000000.0,2129000000.0
+Western Digital,2017,13021000000.0,2341000000.0
+","corporate,year,Days Inventory Outstanding
+Bristol Myers Squibb,2017,72.4163369601055
+Stryker Corporation,2017,192.07152891594475
+Western Digital,2017,62.65071807080869
+"
+US,fundamental,"Among Dow Inc., Motorola Solutions, CME Group, ServiceNow, how much lower is the Days Sales Outstanding for the top company compared to the second place in 2020? (Use the average of beginning and ending trade receivables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",10.2326,hard,operational efficiency,Average Trade Receivables / Revenue * 365,"corporate,year,Revenue,TradeReceivables
+Dow Inc.,2019,42951000000.0,4844000000.0
+Dow Inc.,2020,38542000000.0,4839000000.0
+Motorola Solutions,2019,7887000000.0,1412000000.0
+Motorola Solutions,2020,7414000000.0,1390000000.0
+CME Group,2019,4868000000.0,491800000.0
+CME Group,2020,4883600000.0,461300000.0
+ServiceNow,2019,3460437000.0,835279000.0
+ServiceNow,2020,4519484000.0,1009415000.0
+","corporate,year,Days Sales Outstanding
+CME Group,2020,35.61732123843066
+Dow Inc.,2020,45.84991697369104
+Motorola Solutions,2020,68.97288912867548
+ServiceNow,2020,74.49006457374338
+"
+US,fundamental,"Among Nike, Jabil, Merck & Co., Warner Bros. Discovery, what is the gap in Days Sales Outstanding between the lowest-ranked company and the runner-up in 2023? (Use the average of beginning and ending trade receivables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",8.8401,hard,operational efficiency,Average Trade Receivables / Revenue * 365,"corporate,year,Revenue,TradeReceivables
+Nike,2022,46710000000.0,4667000000.0
+Nike,2023,51217000000.0,4131000000.0
+Jabil,2022,33478000000.0,3995000000.0
+Jabil,2023,34702000000.0,3647000000.0
+Merck & Co.,2022,59283000000.0,9450000000.0
+Merck & Co.,2023,60115000000.0,10349000000.0
+Warner Bros. Discovery,2022,33817000000.0,6380000000.0
+Warner Bros. Discovery,2023,41321000000.0,6047000000.0
+","corporate,year,Days Sales Outstanding
+Jabil,2023,40.189758515359344
+Merck & Co.,2023,60.10675372203277
+Nike,2023,31.349649530429346
+Warner Bros. Discovery,2023,54.8855908617894
+"
+US,fundamental,"In 2023, within Paycom, Baxter International, Williams Companies, Western Digital, by how much does the company with the highest Days Sales Outstanding differ from the second-ranked company? (Use the average of beginning and ending trade receivables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",7.3533,hard,operational efficiency,Average Trade Receivables / Revenue * 365,"corporate,year,Revenue,TradeReceivables
+Paycom,2022,1375218000.0,22843000.0
+Paycom,2023,1693674000.0,16442000.0
+Baxter International,2022,15113000000.0,2659000000.0
+Baxter International,2023,14813000000.0,2690000000.0
+Williams Companies,2022,10965000000.0,2723000000.0
+Williams Companies,2023,10907000000.0,1655000000.0
+Western Digital,2022,18793000000.0,2804000000.0
+Western Digital,2023,12318000000.0,1598000000.0
+","corporate,year,Days Sales Outstanding
+Baxter International,2023,65.90106663066226
+Paycom,2023,4.2331124525735175
+Western Digital,2023,65.2187855171294
+Williams Companies,2023,73.2543320803154
+"
+US,fundamental,"For Days Sales Outstanding in 2023, what is the difference between the top and second-place companies among Paychex, Johnson & Johnson, Visa Inc.? (Use the average of beginning and ending trade receivables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",35.3008,hard,operational efficiency,Average Trade Receivables / Revenue * 365,"corporate,year,Revenue,TradeReceivables
+Paychex,2022,4554000000.0,723800000.0
+Paychex,2023,4907300000.0,873300000.0
+Johnson & Johnson,2022,94943000000.0,16160000000.0
+Johnson & Johnson,2023,85159000000.0,14873000000.0
+Visa Inc.,2022,29310000000.0,2020000000.0
+Visa Inc.,2023,32653000000.0,2291000000.0
+","corporate,year,Days Sales Outstanding
+Johnson & Johnson,2023,66.50527249028288
+Paychex,2023,59.39533959611191
+Visa Inc.,2023,24.094493614675528
+"
+US,fundamental,"Among Estée Lauder Companies (The), Deckers Brands, Southwest Airlines, calculate the margin between the highest-Days Sales Outstanding company and the second-place company in 2024. (Use the average of beginning and ending trade receivables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",14.1304,hard,operational efficiency,Average Trade Receivables / Revenue * 365,"corporate,year,Revenue,TradeReceivables
+Estée Lauder Companies (The),2023,15910000000.0,1452000000.0
+Estée Lauder Companies (The),2024,15608000000.0,1727000000.0
+Deckers Brands,2023,4287763000.0,296565000.0
+Deckers Brands,2024,4985612000.0,332872000.0
+Southwest Airlines,2023,26091000000.0,1154000000.0
+Southwest Airlines,2024,27483000000.0,1110000000.0
+","corporate,year,Days Sales Outstanding
+Deckers Brands,2024,23.040752569594265
+Estée Lauder Companies (The),2024,37.17116222450026
+Southwest Airlines,2024,15.034021031182913
+"
+US,fundamental,"Among Visa Inc., Chipotle Mexican Grill, Meta Platforms, Emerson Electric, American Electric Power, how much higher is the Days Payable Outstanding for the top company compared to the second place in 2020? (Use the average of beginning and ending trade payables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",91.5186,hard,operational efficiency,Average Trade Payables / COGS * 365,"corporate,year,CostOfGoodsAndServicesSold,TradePayables
+Visa Inc.,2019,3444000000.0,156000000.0
+Visa Inc.,2020,3785000000.0,174000000.0
+Chipotle Mexican Grill,2019,1847916000.0,115816000.0
+Chipotle Mexican Grill,2020,1932766000.0,121990000.0
+Meta Platforms,2019,12770000000.0,886000000.0
+Meta Platforms,2020,16692000000.0,1093000000.0
+Emerson Electric,2019,10557000000.0,1874000000.0
+Emerson Electric,2020,9776000000.0,1715000000.0
+American Electric Power,2019,5106100000.0,2085800000.0
+American Electric Power,2020,4369700000.0,1709700000.0
+","corporate,year,Days Payable Outstanding
+American Electric Power,2020,158.51860539625144
+Chipotle Mexican Grill,2020,22.45465565929864
+Emerson Electric,2020,67.00005114566284
+Meta Platforms,2020,21.637161514497965
+Visa Inc.,2020,15.911492734478204
+"
+US,fundamental,"Among Textron, Bristol Myers Squibb, Cardinal Health, what is the gap in Days Payable Outstanding between the highest-ranked company and the runner-up in 2022? (Use the average of beginning and ending trade payables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",54.7609,hard,operational efficiency,Average Trade Payables / COGS * 365,"corporate,year,CostOfGoodsAndServicesSold,TradePayables
+Textron,2021,10297000000.0,786000000.0
+Textron,2022,10800000000.0,1018000000.0
+Bristol Myers Squibb,2021,9940000000.0,2949000000.0
+Bristol Myers Squibb,2022,10137000000.0,3040000000.0
+Cardinal Health,2021,155689000000.0,23700000000.0
+Cardinal Health,2022,174819000000.0,27128000000.0
+","corporate,year,Days Payable Outstanding
+Bristol Myers Squibb,2022,107.8220874025846
+Cardinal Health,2022,53.06122332240774
+Textron,2022,30.48425925925926
+"
+US,fundamental,"In 2024, within Qualcomm, RTX Corporation, Ball Corporation, Southern Company, by how much does the company with the lowest Days Payable Outstanding differ from the second-ranked company? (Use the average of beginning and ending trade payables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",17.8188,hard,operational efficiency,Average Trade Payables / COGS * 365,"corporate,year,CostOfGoodsAndServicesSold,TradePayables
+Qualcomm,2023,15869000000.0,1912000000.0
+Qualcomm,2024,17060000000.0,2584000000.0
+RTX Corporation,2023,56831000000.0,10698000000.0
+RTX Corporation,2024,65328000000.0,12897000000.0
+Ball Corporation,2023,11359000000.0,3753000000.0
+Ball Corporation,2024,9354000000.0,3418000000.0
+Southern Company,2023,7452000000.0,2898000000.0
+Southern Company,2024,6843000000.0,3701000000.0
+","corporate,year,Days Payable Outstanding
+Ball Corporation,2024,139.9088625187086
+Qualcomm,2024,48.09613130128957
+RTX Corporation,2024,65.91488335782513
+Southern Company,2024,175.99262019582054
+"
+US,fundamental,"For Days Payable Outstanding in 2021, what is the difference between the top and second-place companies among Waste Management, Keurig Dr Pepper, Medtronic, Estée Lauder Companies (The)? (Use the average of beginning and ending trade payables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",121.0965,hard,operational efficiency,Average Trade Payables / COGS * 365,"corporate,year,CostOfGoodsAndServicesSold,TradePayables
+Waste Management,2020,9341000000.0,1121000000.0
+Waste Management,2021,11111000000.0,1375000000.0
+Keurig Dr Pepper,2020,5132000000.0,3740000000.0
+Keurig Dr Pepper,2021,5706000000.0,4316000000.0
+Medtronic,2020,9424000000.0,1996000000.0
+Medtronic,2021,10483000000.0,2106000000.0
+Estée Lauder Companies (The),2020,3552000000.0,1177000000.0
+Estée Lauder Companies (The),2021,3834000000.0,1692000000.0
+","corporate,year,Days Payable Outstanding
+Estée Lauder Companies (The),2021,136.56559728742826
+Keurig Dr Pepper,2021,257.6621100595864
+Medtronic,2021,71.41228655919107
+Waste Management,2021,40.99720997209972
+"
+US,fundamental,"Among Booking Holdings, Targa Resources, Trade Desk (The), Bristol Myers Squibb, United Airlines Holdings, calculate the margin between the lowest-Days Payable Outstanding company and the second-place company in 2019. (Use the average of beginning and ending trade payables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",16.3863,hard,operational efficiency,Average Trade Payables / COGS * 365,"corporate,year,CostOfGoodsAndServicesSold,TradePayables
+Booking Holdings,2018,2042000000.0,1134000000.0
+Booking Holdings,2019,2248000000.0,1239000000.0
+Targa Resources,2018,8238200000.0,1737300000.0
+Targa Resources,2019,6118500000.0,1379900000.0
+Trade Desk (The),2018,114098000.0,669147000.0
+Trade Desk (The),2019,156180000.0,868618000.0
+Bristol Myers Squibb,2018,6547000000.0,1892000000.0
+Bristol Myers Squibb,2019,8078000000.0,2445000000.0
+United Airlines Holdings,2018,11458000000.0,2363000000.0
+United Airlines Holdings,2019,12071000000.0,2703000000.0
+","corporate,year,Days Payable Outstanding
+Booking Holdings,2019,192.64790925266905
+Bristol Myers Squibb,2019,97.98248328794256
+Targa Resources,2019,92.97850780420039
+Trade Desk (The),2019,1796.9145377128953
+United Airlines Holdings,2019,76.5922458785519
+"
+US,fundamental,"Among EOG Resources, Jabil, AES Corporation, how much lower is the Operating Cycle for the top company compared to the second place in 2019? (Use the average of beginning and ending inventory and trade receivables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.8227,hard,operational efficiency,Days Inventory Outstanding + Days Sales Outstanding,"corporate,year,CostOfGoodsAndServicesSold,Inventories,Revenue,TradeReceivables
+EOG Resources,2018,746876000.0,859359000.0,17275399000.0,1915215000.0
+EOG Resources,2019,758300000.0,767297000.0,17379973000.0,2001658000.0
+Jabil,2018,20388624000.0,3457706000.0,22095416000.0,1693268000.0
+Jabil,2019,23368919000.0,3023003000.0,25282320000.0,2745226000.0
+AES Corporation,2018,8163000000.0,577000000.0,10736000000.0,1595000000.0
+AES Corporation,2019,7840000000.0,487000000.0,10189000000.0,1479000000.0
+","corporate,year,Operating Cycle
+AES Corporation,2019,79.82772562847889
+EOG Resources,2019,432.61665272866884
+Jabil,2019,82.65040936126024
+"
+US,fundamental,"Among CDW Corporation, EOG Resources, Constellation Brands, Dell Technologies, Kroger, what is the gap in Operating Cycle between the lowest-ranked company and the runner-up in 2023? (Use the average of beginning and ending inventory and trade receivables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",32.4307,hard,operational efficiency,Days Inventory Outstanding + Days Sales Outstanding,"corporate,year,CostOfGoodsAndServicesSold,Inventories,Revenue,TradeReceivables
+CDW Corporation,2022,19062100000.0,800200000.0,23748700000.0,4461300000.0
+CDW Corporation,2023,16723600000.0,668100000.0,21376000000.0,4567500000.0
+EOG Resources,2022,966000000.0,1058000000.0,29492000000.0,2774000000.0
+EOG Resources,2023,957000000.0,1275000000.0,23182000000.0,2716000000.0
+Constellation Brands,2022,4683600000.0,1898700000.0,10177200000.0,901600000.0
+Constellation Brands,2023,4944300000.0,2078300000.0,10711000000.0,832800000.0
+Dell Technologies,2022,79615000000.0,4776000000.0,102301000000.0,12482000000.0
+Dell Technologies,2023,67556000000.0,3622000000.0,88425000000.0,9343000000.0
+Kroger,2022,116480000000.0,9756000000.0,148258000000.0,2234000000.0
+Kroger,2023,116675000000.0,9414000000.0,150039000000.0,2136000000.0
+","corporate,year,Operating Cycle
+CDW Corporation,2023,93.10754363244857
+Constellation Brands,2023,176.34748111797558
+Dell Technologies,2023,67.73141125628392
+EOG Resources,2023,488.1232989202609
+Kroger,2023,35.30066665775248
+"
+US,fundamental,"In 2024, within Zoetis, Teradyne, NRG Energy, by how much does the company with the lowest Operating Cycle differ from the second-ranked company? (Use the average of beginning and ending inventory and trade receivables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",98.0941,hard,operational efficiency,Days Inventory Outstanding + Days Sales Outstanding,"corporate,year,CostOfGoodsAndServicesSold,Inventories,Revenue,TradeReceivables
+Zoetis,2023,2561000000.0,2564000000.0,8544000000.0,1304000000.0
+Zoetis,2024,2719000000.0,2306000000.0,9256000000.0,1316000000.0
+Teradyne,2023,1139550000.0,309974000.0,2676298000.0,422124000.0
+Teradyne,2024,1170953000.0,298492000.0,2819880000.0,471426000.0
+NRG Energy,2023,26526000000.0,607000000.0,28823000000.0,3542000000.0
+NRG Energy,2024,22100000000.0,478000000.0,28130000000.0,3488000000.0
+","corporate,year,Operating Cycle
+NRG Energy,2024,54.56862229017506
+Teradyne,2024,152.66277199277374
+Zoetis,2024,378.534073342842
+"
+US,fundamental,"For Operating Cycle in 2018, what is the difference between the top and second-place companies among Hasbro, Omnicom Group, PepsiCo? (Use the average of beginning and ending inventory and trade receivables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",31.5259,hard,operational efficiency,Days Inventory Outstanding + Days Sales Outstanding,"corporate,year,CostOfGoodsAndServicesSold,Inventories,Revenue,TradeReceivables
+Hasbro,2017,2033693000.0,433293000.0,5209782000.0,1405399000.0
+Hasbro,2018,1850678000.0,443383000.0,4579646000.0,1188052000.0
+Omnicom Group,2017,12481800000.0,1110600000.0,15273600000.0,8083800000.0
+Omnicom Group,2018,12437300000.0,1161500000.0,15290200000.0,7666100000.0
+PepsiCo,2017,28785000000.0,2947000000.0,63525000000.0,7024000000.0
+PepsiCo,2018,29381000000.0,3128000000.0,64661000000.0,7142000000.0
+","corporate,year,Operating Cycle
+Hasbro,2018,189.80086868587458
+Omnicom Group,2018,221.32675703799814
+PepsiCo,2018,77.71713791127243
+"
+US,fundamental,"Among O’Reilly Automotive, Vulcan Materials Company, Packaging Corporation of America, Baxter International, calculate the margin between the lowest-Operating Cycle company and the second-place company in 2022. (Use the average of beginning and ending inventory and trade receivables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",23.453,hard,operational efficiency,Days Inventory Outstanding + Days Sales Outstanding,"corporate,year,CostOfGoodsAndServicesSold,Inventories,Revenue,TradeReceivables
+O’Reilly Automotive,2021,6307614000.0,3686383000.0,13327563000.0,272562000.0
+O’Reilly Automotive,2022,7028154000.0,4359126000.0,14409860000.0,343155000.0
+Vulcan Materials Company,2021,4178800000.0,521300000.0,5552200000.0,783200000.0
+Vulcan Materials Company,2022,5757500000.0,579300000.0,7315200000.0,845600000.0
+Packaging Corporation of America,2021,5857300000.0,902500000.0,7730300000.0,1071000000.0
+Packaging Corporation of America,2022,6387400000.0,977300000.0,8478000000.0,1031800000.0
+Baxter International,2021,7679000000.0,2453000000.0,12784000000.0,2629000000.0
+Baxter International,2022,9716000000.0,2718000000.0,15113000000.0,2659000000.0
+","corporate,year,Operating Cycle
+Baxter International,2022,160.98550251410555
+O’Reilly Automotive,2022,216.71566477635884
+Packaging Corporation of America,2022,98.97492301409069
+Vulcan Materials Company,2022,75.52197204452787
+"
+US,fundamental,"Among F5, Nike, Textron, how much higher is the Cash Conversion Cycle for the top company compared to the second place in 2023? (Use the average of beginning and ending inventory, trade receivables, and trade payables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",11.1882,hard,operational efficiency,Days Inventory Outstanding + Days Sales Outstanding - Days Payable Outstanding,"corporate,year,CostOfGoodsAndServicesSold,Inventories,Revenue,TradeReceivables,TradePayables
+F5,2022,539627000.0,68365000.0,2695845000.0,469979000.0,113178000.0
+F5,2023,593308000.0,35874000.0,2813169000.0,454832000.0,63315000.0
+Nike,2022,25231000000.0,8420000000.0,46710000000.0,4667000000.0,3358000000.0
+Nike,2023,28925000000.0,8454000000.0,51217000000.0,4131000000.0,2862000000.0
+Textron,2022,10800000000.0,3550000000.0,12869000000.0,855000000.0,1018000000.0
+Textron,2023,11405000000.0,3914000000.0,13683000000.0,868000000.0,1023000000.0
+","corporate,year,Cash Conversion Cycle
+F5,2023,37.77054448917783
+Nike,2023,98.5702199712245
+Textron,2023,109.75839855809454
+"
+US,fundamental,"Among Intuitive Surgical, Ecolab, Chipotle Mexican Grill, what is the gap in Cash Conversion Cycle between the highest-ranked company and the runner-up in 2023? (Use the average of beginning and ending inventory, trade receivables, and trade payables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",122.7881,hard,operational efficiency,Days Inventory Outstanding + Days Sales Outstanding - Days Payable Outstanding,"corporate,year,CostOfGoodsAndServicesSold,Inventories,Revenue,TradeReceivables,TradePayables
+Intuitive Surgical,2022,2026200000.0,893200000.0,6222200000.0,942100000.0,147000000.0
+Intuitive Surgical,2023,2394600000.0,1220600000.0,7124100000.0,1130200000.0,188700000.0
+Ecolab,2022,8831000000.0,1792800000.0,14187800000.0,2698100000.0,1728200000.0
+Ecolab,2023,9154900000.0,1497200000.0,15320200000.0,2834200000.0,1566300000.0
+Chipotle Mexican Grill,2022,2602245000.0,35668000.0,8634652000.0,106880000.0,184566000.0
+Chipotle Mexican Grill,2023,2912564000.0,39309000.0,9871649000.0,115535000.0,197646000.0
+","corporate,year,Cash Conversion Cycle
+Chipotle Mexican Grill,2023,-15.139362409443175
+Ecolab,2023,65.81313789860035
+Intuitive Surgical,2023,188.6012659365016
+"
+US,fundamental,"In 2020, within Cummins, Corning Inc., Southwest Airlines, Parker Hannifin, by how much does the company with the highest Cash Conversion Cycle differ from the second-ranked company? (Use the average of beginning and ending inventory, trade receivables, and trade payables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",29.0375,hard,operational efficiency,Days Inventory Outstanding + Days Sales Outstanding - Days Payable Outstanding,"corporate,year,CostOfGoodsAndServicesSold,Inventories,Revenue,TradeReceivables,TradePayables
+Cummins,2019,17591000000.0,3486000000.0,23571000000.0,3387000000.0,2534000000.0
+Cummins,2020,14917000000.0,3425000000.0,19811000000.0,3440000000.0,2820000000.0
+Corning Inc.,2019,7468000000.0,2320000000.0,11503000000.0,1836000000.0,1587000000.0
+Corning Inc.,2020,7772000000.0,2438000000.0,11303000000.0,2133000000.0,1174000000.0
+Southwest Airlines,2019,8293000000.0,529000000.0,22428000000.0,1086000000.0,1574000000.0
+Southwest Airlines,2020,6811000000.0,414000000.0,9048000000.0,1130000000.0,931000000.0
+Parker Hannifin,2019,10703484000.0,1678132000.0,14320324000.0,0.0,1413155000.0
+Parker Hannifin,2020,10286518000.0,1814631000.0,13695520000.0,0.0,1111759000.0
+","corporate,year,Cash Conversion Cycle
+Corning Inc.,2020,110.97710610011625
+Cummins,2020,81.93959597488349
+Parker Hannifin,2020,17.171256833459097
+Southwest Airlines,2020,2.843551499946571
+"
+US,fundamental,"For Cash Conversion Cycle in 2019, what is the difference between the top and second-place companies among Amazon, Electronic Arts, Textron? (Use the average of beginning and ending inventory, trade receivables, and trade payables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",39.8005,hard,operational efficiency,Days Inventory Outstanding + Days Sales Outstanding - Days Payable Outstanding,"corporate,year,CostOfGoodsAndServicesSold,Inventories,Revenue,TradeReceivables,TradePayables
+Amazon,2018,139156000000.0,17174000000.0,232887000000.0,16677000000.0,38192000000.0
+Amazon,2019,165536000000.0,20497000000.0,280522000000.0,20816000000.0,47183000000.0
+Electronic Arts,2018,1322000000.0,0.0,4950000000.0,623000000.0,113000000.0
+Electronic Arts,2019,1369000000.0,0.0,5537000000.0,461000000.0,68000000.0
+Textron,2018,11594000000.0,3818000000.0,13972000000.0,1462000000.0,1099000000.0
+Textron,2019,11406000000.0,4069000000.0,13630000000.0,921000000.0,1378000000.0
+","corporate,year,Cash Conversion Cycle
+Amazon,2019,-28.200740401907055
+Electronic Arts,2019,11.599807747943874
+Textron,2019,118.46927068800207
+"
+US,fundamental,"Among General Mills, Zimmer Biomet, Constellation Brands, calculate the margin between the lowest-Cash Conversion Cycle company and the second-place company in 2025. (Use the average of beginning and ending inventory, trade receivables, and trade payables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",93.3479,hard,operational efficiency,Days Inventory Outstanding + Days Sales Outstanding - Days Payable Outstanding,"corporate,year,CostOfGoodsAndServicesSold,Inventories,Revenue,TradeReceivables,TradePayables
+General Mills,2024,12925100000.0,1898200000.0,19857200000.0,1696200000.0,3987800000.0
+General Mills,2025,12753600000.0,1910800000.0,19486600000.0,1795900000.0,4009500000.0
+Zimmer Biomet,2024,2191200000.0,2235300000.0,7678600000.0,1480700000.0,194600000.0
+Zimmer Biomet,2025,2493700000.0,2286400000.0,8231500000.0,1704400000.0,303000000.0
+Constellation Brands,2024,4894100000.0,1437200000.0,10956900000.0,736500000.0,939800000.0
+Constellation Brands,2025,4427500000.0,1433900000.0,9755500000.0,658200000.0,960200000.0
+","corporate,year,Cash Conversion Cycle
+Constellation Brands,2025,66.11960699405373
+General Mills,2025,-27.228305611274948
+Zimmer Biomet,2025,365.11806879741613
+"
+US,fundamental,"Among Vulcan Materials Company, ResMed, Boston Scientific, Church & Dwight, Nucor, how much higher is the Inventory Turnover for the top company compared to the second place in 2018? (Use the average of beginning and ending inventory) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.6056,hard,operational efficiency,COGS / Average Inventory,"corporate,year,CostOfGoodsAndServicesSold,Inventories
+Vulcan Materials Company,2017,2889735000.0,384338000.0
+Vulcan Materials Company,2018,3281924000.0,429330000.0
+ResMed,2017,864992000.0,268319000.0
+ResMed,2018,978032000.0,268701000.0
+Boston Scientific,2017,2593000000.0,1078000000.0
+Boston Scientific,2018,2813000000.0,1166000000.0
+Church & Dwight,2017,2046600000.0,330700000.0
+Church & Dwight,2018,2305100000.0,382800000.0
+Nucor,2017,17682986000.0,3461686000.0
+Nucor,2018,20771871000.0,4553500000.0
+","corporate,year,Inventory Turnover
+Boston Scientific,2018,2.5071301247771838
+Church & Dwight,2018,6.461387526278907
+Nucor,2018,5.18312887561187
+ResMed,2018,3.6424416222859484
+Vulcan Materials Company,2018,8.066985551846699
+"
+US,fundamental,"Among Dow Inc., Apple Inc., Amgen, Zebra Technologies, what is the gap in Inventory Turnover between the lowest-ranked company and the runner-up in 2024? (Use the average of beginning and ending inventory) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.8738,hard,operational efficiency,COGS / Average Inventory,"corporate,year,CostOfGoodsAndServicesSold,Inventories
+Dow Inc.,2023,39742000000.0,6076000000.0
+Dow Inc.,2024,38358000000.0,6544000000.0
+Apple Inc.,2023,214137000000.0,6331000000.0
+Apple Inc.,2024,210352000000.0,7286000000.0
+Amgen,2023,8451000000.0,9518000000.0
+Amgen,2024,12858000000.0,6998000000.0
+Zebra Technologies,2023,2461000000.0,804000000.0
+Zebra Technologies,2024,2568000000.0,693000000.0
+","corporate,year,Inventory Turnover
+Amgen,2024,1.5570356018406393
+Apple Inc.,2024,30.895498274216052
+Dow Inc.,2024,6.07892234548336
+Zebra Technologies,2024,3.4308617234468937
+"
+US,fundamental,"In 2025, within General Mills, Cummins, Moderna, Ross Stores, by how much does the company with the highest Inventory Turnover differ from the second-ranked company? (Use the average of beginning and ending inventory) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.2155,hard,operational efficiency,COGS / Average Inventory,"corporate,year,CostOfGoodsAndServicesSold,Inventories
+General Mills,2024,12925100000.0,1898200000.0
+General Mills,2025,12753600000.0,1910800000.0
+Cummins,2024,25663000000.0,5742000000.0
+Cummins,2025,25154000000.0,5822000000.0
+Moderna,2024,1464000000.0,117000000.0
+Moderna,2025,868000000.0,153000000.0
+Ross Stores,2024,15260506000.0,2444513000.0
+Ross Stores,2025,16447256000.0,2630970000.0
+","corporate,year,Inventory Turnover
+Cummins,2025,4.350397786233137
+General Mills,2025,6.6965607771068525
+Moderna,2025,6.42962962962963
+Ross Stores,2025,6.481060423214894
+"
+US,fundamental,"For Inventory Turnover in 2022, what is the difference between the top and second-place companies among Edwards Lifesciences, Constellation Brands, Lam Research, Merck & Co.? (Use the average of beginning and ending inventory) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.1239,hard,operational efficiency,COGS / Average Inventory,"corporate,year,CostOfGoodsAndServicesSold,Inventories
+Edwards Lifesciences,2021,1248900000.0,726700000.0
+Edwards Lifesciences,2022,1080400000.0,875500000.0
+Constellation Brands,2021,4113400000.0,1573200000.0
+Constellation Brands,2022,4683600000.0,1898700000.0
+Lam Research,2021,7820844000.0,2689294000.0
+Lam Research,2022,9355232000.0,3966294000.0
+Merck & Co.,2021,13626000000.0,5953000000.0
+Merck & Co.,2022,17411000000.0,5911000000.0
+","corporate,year,Inventory Turnover
+Constellation Brands,2022,2.6980039747688584
+Edwards Lifesciences,2022,1.3486456122831108
+Lam Research,2022,2.81124132082695
+Merck & Co.,2022,2.9350977747808495
+"
+US,fundamental,"Among RTX Corporation, Colgate-Palmolive, Nordson Corporation, Valero Energy, calculate the margin between the highest-Inventory Turnover company and the second-place company in 2022. (Use the average of beginning and ending inventory) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",19.1239,hard,operational efficiency,COGS / Average Inventory,"corporate,year,CostOfGoodsAndServicesSold,Inventories
+RTX Corporation,2021,51897000000.0,9178000000.0
+RTX Corporation,2022,53406000000.0,10617000000.0
+Colgate-Palmolive,2021,7046000000.0,1692000000.0
+Colgate-Palmolive,2022,7719000000.0,2074000000.0
+Nordson Corporation,2021,1038129000.0,327195000.0
+Nordson Corporation,2022,1163742000.0,383398000.0
+Valero Energy,2021,110848000000.0,6265000000.0
+Valero Energy,2022,159587000000.0,6752000000.0
+","corporate,year,Inventory Turnover
+Colgate-Palmolive,2022,4.099309612320765
+Nordson Corporation,2022,3.2754108188512974
+RTX Corporation,2022,5.395908057590301
+Valero Energy,2022,24.519781823768916
+"
+US,fundamental,"Among Leidos, McCormick & Company, Quanta Services, Warner Bros. Discovery, CBRE Group, how much lower is the Receivables Turnover for the top company compared to the second place in 2020? (Use the average of beginning and ending trade receivables) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0275,hard,operational efficiency,Revenue / Average Trade Receivables,"corporate,year,Revenue,TradeReceivables
+Leidos,2019,11094000000.0,1734000000.0
+Leidos,2020,12297000000.0,2137000000.0
+McCormick & Company,2019,5347400000.0,502900000.0
+McCormick & Company,2020,5601300000.0,528500000.0
+Quanta Services,2019,12112153000.0,2747911000.0
+Quanta Services,2020,11202672000.0,2716083000.0
+Warner Bros. Discovery,2019,11144000000.0,2633000000.0
+Warner Bros. Discovery,2020,10671000000.0,2537000000.0
+CBRE Group,2019,23894091000.0,4466674000.0
+CBRE Group,2020,23826195000.0,4394954000.0
+","corporate,year,Receivables Turnover
+CBRE Group,2020,5.377385509750579
+Leidos,2020,6.3533970550245416
+McCormick & Company,2020,10.861547411285631
+Quanta Services,2020,4.10054330220714
+Warner Bros. Discovery,2020,4.128046421663443
+"
+US,fundamental,"Among Textron, Cencora, Las Vegas Sands, Deckers Brands, Paychex, what is the gap in Receivables Turnover between the highest-ranked company and the runner-up in 2022? (Use the average of beginning and ending trade receivables) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.3241,hard,operational efficiency,Revenue / Average Trade Receivables,"corporate,year,Revenue,TradeReceivables
+Textron,2021,12382000000.0,838000000.0
+Textron,2022,12869000000.0,855000000.0
+Cencora,2021,213988843000.0,18167175000.0
+Cencora,2022,238587006000.0,18452675000.0
+Las Vegas Sands,2021,4234000000.0,202000000.0
+Las Vegas Sands,2022,4110000000.0,267000000.0
+Deckers Brands,2021,3150339000.0,302688000.0
+Deckers Brands,2022,3627286000.0,301511000.0
+Paychex,2021,3997500000.0,578300000.0
+Paychex,2022,4554000000.0,723800000.0
+","corporate,year,Receivables Turnover
+Cencora,2022,13.030474237333031
+Deckers Brands,2022,12.00692487077933
+Las Vegas Sands,2022,17.526652452025587
+Paychex,2022,6.994854465862837
+Textron,2022,15.202598936798582
+"
+US,fundamental,"In 2023, within Henry Schein, Lamb Weston, Hubbell Incorporated, Dell Technologies, Charter Communications, by how much does the company with the highest Receivables Turnover differ from the second-ranked company? (Use the average of beginning and ending trade receivables) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",9.4203,hard,operational efficiency,Revenue / Average Trade Receivables,"corporate,year,Revenue,TradeReceivables
+Henry Schein,2022,12647000000.0,1442000000.0
+Henry Schein,2023,12339000000.0,1863000000.0
+Lamb Weston,2022,4098900000.0,447300000.0
+Lamb Weston,2023,5350600000.0,724200000.0
+Hubbell Incorporated,2022,4947900000.0,741600000.0
+Hubbell Incorporated,2023,5372900000.0,785400000.0
+Dell Technologies,2022,102301000000.0,12482000000.0
+Dell Technologies,2023,88425000000.0,9343000000.0
+Charter Communications,2022,54022000000.0,2921000000.0
+Charter Communications,2023,54607000000.0,2965000000.0
+","corporate,year,Receivables Turnover
+Charter Communications,2023,18.554875976894326
+Dell Technologies,2023,8.103092783505154
+Henry Schein,2023,7.466868381240545
+Hubbell Incorporated,2023,7.037197118533071
+Lamb Weston,2023,9.134613743064447
+"
+US,fundamental,"For Receivables Turnover in 2025, what is the difference between the top and second-place companies among Apple Inc., DaVita, Kraft Heinz, PayPal, Equifax? (Use the average of beginning and ending trade receivables) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.9433,hard,operational efficiency,Revenue / Average Trade Receivables,"corporate,year,Revenue,TradeReceivables
+Apple Inc.,2024,391035000000.0,33410000000.0
+Apple Inc.,2025,416161000000.0,39777000000.0
+DaVita,2024,12815550000.0,2146975000.0
+DaVita,2025,13643069000.0,2414690000.0
+Kraft Heinz,2024,25846000000.0,2147000000.0
+Kraft Heinz,2025,24942000000.0,2254000000.0
+PayPal,2024,31797000000.0,6422000000.0
+PayPal,2025,33172000000.0,6746000000.0
+Equifax,2024,5681100000.0,957600000.0
+Equifax,2025,6074500000.0,1012700000.0
+","corporate,year,Receivables Turnover
+Apple Inc.,2025,11.372538838864825
+DaVita,2025,5.981618115315351
+Equifax,2025,6.166066081307415
+Kraft Heinz,2025,11.334696659850033
+PayPal,2025,5.038274605103281
+"
+US,fundamental,"Among Arista Networks, Dover Corporation, Jacobs Solutions, calculate the margin between the lowest-Receivables Turnover company and the second-place company in 2021. (Use the average of beginning and ending trade receivables) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.8684,hard,operational efficiency,Revenue / Average Trade Receivables,"corporate,year,Revenue,TradeReceivables
+Arista Networks,2020,2317512000.0,389540000.0
+Arista Networks,2021,2948037000.0,516509000.0
+Dover Corporation,2020,6683760000.0,1137223000.0
+Dover Corporation,2021,7907081000.0,1347514000.0
+Jacobs Solutions,2020,13566975000.0,3167310000.0
+Jacobs Solutions,2021,14092632000.0,3101418000.0
+","corporate,year,Receivables Turnover
+Arista Networks,2021,6.507455998516637
+Dover Corporation,2021,6.364521476518441
+Jacobs Solutions,2021,4.496169557843314
+"
+US,fundamental,"Among Danaher Corporation, Fastenal, Howmet Aerospace, how much higher is the Payables Turnover for the top company compared to the second place in 2024? (Use the average of beginning and ending trade payables) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",9.525,hard,operational efficiency,COGS / Average Trade Payables,"corporate,year,CostOfGoodsAndServicesSold,TradePayables
+Danaher Corporation,2023,9856000000.0,1766000000.0
+Danaher Corporation,2024,9669000000.0,1753000000.0
+Fastenal,2023,3992200000.0,264100000.0
+Fastenal,2024,4144100000.0,287700000.0
+Howmet Aerospace,2023,4773000000.0,982000000.0
+Howmet Aerospace,2024,5119000000.0,948000000.0
+","corporate,year,Payables Turnover
+Danaher Corporation,2024,5.495311167945439
+Fastenal,2024,15.020297209133744
+Howmet Aerospace,2024,5.3046632124352335
+"
+US,fundamental,"Among Hershey Company (The), Mondelez International, Devon Energy, what is the gap in Payables Turnover between the lowest-ranked company and the runner-up in 2018? (Use the average of beginning and ending trade payables) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.4884,hard,operational efficiency,COGS / Average Trade Payables,"corporate,year,CostOfGoodsAndServicesSold,TradePayables
+Hershey Company (The),2017,4070907000.0,523229000.0
+Hershey Company (The),2018,4215744000.0,502314000.0
+Mondelez International,2017,15831000000.0,5705000000.0
+Mondelez International,2018,15586000000.0,5794000000.0
+Devon Energy,2017,7730000000.0,1180000000.0
+Devon Energy,2018,4363000000.0,898000000.0
+","corporate,year,Payables Turnover
+Devon Energy,2018,4.1992300288739175
+Hershey Company (The),2018,8.221486568578792
+Mondelez International,2018,2.710844421254022
+"
+US,fundamental,"In 2023, within Ares Management, Cencora, Waste Management, by how much does the company with the highest Payables Turnover differ from the second-ranked company? (Use the average of beginning and ending trade payables) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.3685,hard,operational efficiency,COGS / Average Trade Payables,"corporate,year,CostOfGoodsAndServicesSold,TradePayables
+Ares Management,2022,1498590000.0,231921000.0
+Ares Management,2023,1486698000.0,423407000.0
+Cencora,2022,230290639000.0,40192890000.0
+Cencora,2023,253213918000.0,45836037000.0
+Waste Management,2022,12294000000.0,1766000000.0
+Waste Management,2023,12606000000.0,1709000000.0
+","corporate,year,Payables Turnover
+Ares Management,2023,4.537263782411251
+Cencora,2023,5.886715709007971
+Waste Management,2023,7.255251798561151
+"
+US,fundamental,"For Payables Turnover in 2023, what is the difference between the top and second-place companies among Elevance Health, Advanced Micro Devices, CrowdStrike, Medtronic, United Airlines Holdings? (Use the average of beginning and ending trade payables) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.3273,hard,operational efficiency,COGS / Average Trade Payables,"corporate,year,CostOfGoodsAndServicesSold,TradePayables
+Elevance Health,2022,13035000000.0,5607000000.0
+Elevance Health,2023,17293000000.0,6910000000.0
+Advanced Micro Devices,2022,11550000000.0,2493000000.0
+Advanced Micro Devices,2023,11278000000.0,2055000000.0
+CrowdStrike,2022,601231000.0,45372000.0
+CrowdStrike,2023,755723000.0,28180000.0
+Medtronic,2022,10145000000.0,2276000000.0
+Medtronic,2023,10719000000.0,2662000000.0
+United Airlines Holdings,2022,11466000000.0,3395000000.0
+United Airlines Holdings,2023,14787000000.0,3835000000.0
+","corporate,year,Payables Turnover
+Advanced Micro Devices,2023,4.959542656112577
+CrowdStrike,2023,20.54935283880792
+Elevance Health,2023,2.763122153870736
+Medtronic,2023,4.341433778857837
+United Airlines Holdings,2023,4.090456431535269
+"
+US,fundamental,"Among 3M, American Tower, Charles River Laboratories, calculate the margin between the lowest-Payables Turnover company and the second-place company in 2022. (Use the average of beginning and ending trade payables) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",6.2143,hard,operational efficiency,COGS / Average Trade Payables,"corporate,year,CostOfGoodsAndServicesSold,TradePayables
+3M,2021,18795000000.0,2994000000.0
+3M,2022,19232000000.0,3183000000.0
+American Tower,2021,2585300000.0,272400000.0
+American Tower,2022,3156400000.0,218600000.0
+Charles River Laboratories,2021,2205522000.0,198130000.0
+Charles River Laboratories,2022,2513409000.0,205915000.0
+","corporate,year,Payables Turnover
+3M,2022,6.2269710215314875
+American Tower,2022,12.857026476578412
+Charles River Laboratories,2022,12.441233030974272
+"
+US,fundamental,"Among Edwards Lifesciences, Abbott Laboratories, Occidental Petroleum, how much higher is the Total Asset Turnover for the top company compared to the second place in 2021? (Use the average of beginning and ending total assets) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0818,hard,operational efficiency,Revenue / Average Total Assets,"corporate,year,Revenue,Assets
+Edwards Lifesciences,2020,4386300000.0,7237100000.0
+Edwards Lifesciences,2021,5232500000.0,8502600000.0
+Abbott Laboratories,2020,34608000000.0,72548000000.0
+Abbott Laboratories,2021,43075000000.0,75196000000.0
+Occidental Petroleum,2020,17809000000.0,80064000000.0
+Occidental Petroleum,2021,25956000000.0,75036000000.0
+","corporate,year,Total Asset Turnover
+Abbott Laboratories,2021,0.583103205544726
+Edwards Lifesciences,2021,0.6648792543695242
+Occidental Petroleum,2021,0.3347001934235977
+"
+US,fundamental,"Among Steel Dynamics, Jabil, Qualcomm, Uber, Amcor, what is the gap in Total Asset Turnover between the highest-ranked company and the runner-up in 2023? (Use the average of beginning and ending total assets) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.48,hard,operational efficiency,Revenue / Average Total Assets,"corporate,year,Revenue,Assets
+Steel Dynamics,2022,21469251000.0,14159984000.0
+Steel Dynamics,2023,18795316000.0,14908420000.0
+Jabil,2022,33478000000.0,19717000000.0
+Jabil,2023,34702000000.0,19424000000.0
+Qualcomm,2022,44200000000.0,49014000000.0
+Qualcomm,2023,35820000000.0,51040000000.0
+Uber,2022,31877000000.0,32109000000.0
+Uber,2023,37281000000.0,38699000000.0
+Amcor,2022,14544000000.0,17426000000.0
+Amcor,2023,14694000000.0,17003000000.0
+","corporate,year,Total Asset Turnover
+Amcor,2023,0.8535827354846205
+Jabil,2023,1.7731790194425283
+Qualcomm,2023,0.7160133527894936
+Steel Dynamics,2023,1.2931783939703054
+Uber,2023,1.0530166082928483
+"
+US,fundamental,"In 2024, within Parker Hannifin, CME Group, Quest Diagnostics, Palantir Technologies, by how much does the company with the lowest Total Asset Turnover differ from the second-ranked company? (Use the average of beginning and ending total assets) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.4817,hard,operational efficiency,Revenue / Average Total Assets,"corporate,year,Revenue,Assets
+Parker Hannifin,2023,19065194000.0,29964472000.0
+Parker Hannifin,2024,19929606000.0,29297842000.0
+CME Group,2023,5578900000.0,129706100000.0
+CME Group,2024,6130100000.0,137447000000.0
+Quest Diagnostics,2023,9252000000.0,14022000000.0
+Quest Diagnostics,2024,9872000000.0,16153000000.0
+Palantir Technologies,2023,2225012000.0,4522425000.0
+Palantir Technologies,2024,2865507000.0,6340884000.0
+","corporate,year,Total Asset Turnover
+CME Group,2024,0.045892037187665054
+Palantir Technologies,2024,0.527556935000192
+Parker Hannifin,2024,0.6725895313503958
+Quest Diagnostics,2024,0.6543164871582435
+"
+US,fundamental,"For Total Asset Turnover in 2018, what is the difference between the top and second-place companies among Occidental Petroleum, Textron, TransDigm Group, West Pharmaceutical Services, Home Depot (The)? (Use the average of beginning and ending total assets) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.5005,hard,operational efficiency,Revenue / Average Total Assets,"corporate,year,Revenue,Assets
+Occidental Petroleum,2017,12508000000.0,42026000000.0
+Occidental Petroleum,2018,17824000000.0,43854000000.0
+Textron,2017,14129000000.0,15340000000.0
+Textron,2018,13972000000.0,14264000000.0
+TransDigm Group,2017,3504286000.0,9975661000.0
+TransDigm Group,2018,3811126000.0,12197467000.0
+West Pharmaceutical Services,2017,1599100000.0,1862800000.0
+West Pharmaceutical Services,2018,1717400000.0,1978900000.0
+Home Depot (The),2017,100904000000.0,44529000000.0
+Home Depot (The),2018,108203000000.0,44003000000.0
+","corporate,year,Total Asset Turnover
+Home Depot (The),2018,2.444381692495369
+Occidental Petroleum,2018,0.41509082440614814
+Textron,2018,0.9439264964194027
+TransDigm Group,2018,0.3437607900878938
+West Pharmaceutical Services,2018,0.8940833485175833
+"
+US,fundamental,"Among Lululemon Athletica, Hershey Company (The), Edison International, calculate the margin between the highest-Total Asset Turnover company and the second-place company in 2019. (Use the average of beginning and ending total assets) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.475,hard,operational efficiency,Revenue / Average Total Assets,"corporate,year,Revenue,Assets
+Lululemon Athletica,2018,3288319000.0,2084711000.0
+Lululemon Athletica,2019,3979296000.0,3281354000.0
+Hershey Company (The),2018,7791069000.0,7703020000.0
+Hershey Company (The),2019,7986252000.0,8140395000.0
+Edison International,2018,12657000000.0,56715000000.0
+Edison International,2019,12347000000.0,64382000000.0
+","corporate,year,Total Asset Turnover
+Edison International,2019,0.20391917223382908
+Hershey Company (The),2019,1.0081478014683072
+Lululemon Athletica,2019,1.483133730210126
+"
+US,fundamental,"Among Broadridge Financial Solutions, Elevance Health, Brown & Brown, how much higher is the Fixed Asset Turnover for the top company compared to the second place in 2017? (Use the average of beginning and ending fixed assets) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",16.6626,hard,operational efficiency,Revenue / Average Net PP&E,"corporate,year,Revenue,PlantPropertyEquipmentNet
+Broadridge Financial Solutions,2016,2897000000.0,112200000.0
+Broadridge Financial Solutions,2017,4142600000.0,198100000.0
+Elevance Health,2016,84863000000.0,1977900000.0
+Elevance Health,2017,90039400000.0,2174900000.0
+Brown & Brown,2016,1766629000.0,75807000.0
+Brown & Brown,2017,1881347000.0,77086000.0
+","corporate,year,Fixed Asset Turnover
+Broadridge Financial Solutions,2017,26.700612310667097
+Brown & Brown,2017,24.60998214437548
+Elevance Health,2017,43.36322481217492
+"
+US,fundamental,"Among Freeport-McMoRan, L3Harris, Realty Income, what is the gap in Fixed Asset Turnover between the highest-ranked company and the runner-up in 2025? (Use the average of beginning and ending fixed assets) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",7.339,hard,operational efficiency,Revenue / Average Net PP&E,"corporate,year,Revenue,PlantPropertyEquipmentNet
+Freeport-McMoRan,2024,25455000000.0,38514000000.0
+Freeport-McMoRan,2025,25915000000.0,40736000000.0
+L3Harris,2024,21325000000.0,2806000000.0
+L3Harris,2025,21865000000.0,2665000000.0
+Realty Income,2024,5271142000.0,17320520000.0
+Realty Income,2025,5749377000.0,18368029000.0
+","corporate,year,Fixed Asset Turnover
+Freeport-McMoRan,2025,0.654006309148265
+L3Harris,2025,7.99305428623652
+Realty Income,2025,0.3221972963933053
+"
+US,fundamental,"In 2025, within Xylem Inc., Jabil, Smurfit Westrock, Molina Healthcare, Packaging Corporation of America, by how much does the company with the highest Fixed Asset Turnover differ from the second-ranked company? (Use the average of beginning and ending fixed assets) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",136.0345,hard,operational efficiency,Revenue / Average Net PP&E,"corporate,year,Revenue,PlantPropertyEquipmentNet
+Xylem Inc.,2024,8562000000.0,1152000000.0
+Xylem Inc.,2025,9035000000.0,1159000000.0
+Jabil,2024,28883000000.0,3024000000.0
+Jabil,2025,29802000000.0,2847000000.0
+Smurfit Westrock,2024,21109000000.0,22675000000.0
+Smurfit Westrock,2025,31179000000.0,23232000000.0
+Molina Healthcare,2024,38627000000.0,288000000.0
+Molina Healthcare,2025,43052000000.0,301000000.0
+Packaging Corporation of America,2024,8383300000.0,4039000000.0
+Packaging Corporation of America,2025,8989300000.0,4985100000.0
+","corporate,year,Fixed Asset Turnover
+Jabil,2025,10.152273888605007
+Molina Healthcare,2025,146.1867572156197
+Packaging Corporation of America,2025,1.992287319511087
+Smurfit Westrock,2025,1.3583549349772366
+Xylem Inc.,2025,7.819125919515361
+"
+US,fundamental,"For Fixed Asset Turnover in 2025, what is the difference between the top and second-place companies among Microchip Technology, Paychex, eBay Inc., Union Pacific Corporation? (Use the average of beginning and ending fixed assets) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.7001,hard,operational efficiency,Revenue / Average Net PP&E,"corporate,year,Revenue,PlantPropertyEquipmentNet
+Microchip Technology,2024,4401600000.0,1183700000.0
+Microchip Technology,2025,4713100000.0,1106700000.0
+Paychex,2024,5132000000.0,411700000.0
+Paychex,2025,5410000000.0,511500000.0
+eBay Inc.,2024,10283000000.0,1263000000.0
+eBay Inc.,2025,11100000000.0,1338000000.0
+Union Pacific Corporation,2024,24250000000.0,58343000000.0
+Union Pacific Corporation,2025,24510000000.0,59645000000.0
+","corporate,year,Fixed Asset Turnover
+Microchip Technology,2025,4.115525672371638
+Paychex,2025,11.720103986135182
+Union Pacific Corporation,2025,0.41546597959114484
+eBay Inc.,2025,8.53517877739331
+"
+US,fundamental,"Among Marsh McLennan, Regeneron Pharmaceuticals, American Tower, Monster Beverage, calculate the margin between the highest-Fixed Asset Turnover company and the second-place company in 2025. (Use the average of beginning and ending fixed assets) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",24.1747,hard,operational efficiency,Revenue / Average Net PP&E,"corporate,year,Revenue,PlantPropertyEquipmentNet
+Marsh McLennan,2024,24458000000.0,859000000.0
+Marsh McLennan,2025,26981000000.0,829000000.0
+Regeneron Pharmaceuticals,2024,14202000000.0,4599700000.0
+Regeneron Pharmaceuticals,2025,14342900000.0,5120400000.0
+American Tower,2024,10127200000.0,19056800000.0
+American Tower,2025,10644600000.0,20356300000.0
+Monster Beverage,2024,7492709000.0,1047024000.0
+Monster Beverage,2025,8294343000.0,1081544000.0
+","corporate,year,Fixed Asset Turnover
+American Tower,2025,0.5401554305548155
+Marsh McLennan,2025,31.968009478672986
+Monster Beverage,2025,7.793354969162366
+Regeneron Pharmaceuticals,2025,2.9511836297980474
+"
+US,fundamental,"Among Sysco, Eaton Corporation, Vistra Corp., how much lower is the Working Capital Turnover for the top company compared to the second place in 2021? (Use the average of beginning and ending net working capital) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.9889,hard,operational efficiency,Revenue / Average Net Working Capital,"corporate,year,Revenue,CurrentAssetsTotal,CurrentLiabilitiesTotal
+Sysco,2020,52893310000.0,12348232000.0,6717853000.0
+Sysco,2021,51297843000.0,10733567000.0,7319844000.0
+Eaton Corporation,2020,17858000000.0,9178000000.0,5881000000.0
+Eaton Corporation,2021,19628000000.0,7511000000.0,7212000000.0
+Vistra Corp.,2020,11443000000.0,3429000000.0,3036000000.0
+Vistra Corp.,2021,12077000000.0,7883000000.0,5843000000.0
+","corporate,year,Working Capital Turnover
+Eaton Corporation,2021,10.916573971078977
+Sysco,2021,11.343932874706631
+Vistra Corp.,2021,9.927661323468968
+"
+US,fundamental,"Among Brown & Brown, Broadcom, Lamb Weston, what is the gap in Working Capital Turnover between the highest-ranked company and the runner-up in 2024? (Use the average of beginning and ending net working capital) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.7816,hard,operational efficiency,Revenue / Average Net Working Capital,"corporate,year,Revenue,CurrentAssetsTotal,CurrentLiabilitiesTotal
+Brown & Brown,2023,4257100000.0,5129900000.0,4956900000.0
+Brown & Brown,2024,4805000000.0,6924000000.0,6314000000.0
+Broadcom,2023,35819000000.0,20847000000.0,7405000000.0
+Broadcom,2024,51574000000.0,19595000000.0,16697000000.0
+Lamb Weston,2023,5350600000.0,2127200000.0,1360200000.0
+Lamb Weston,2024,6467600000.0,2090000000.0,1624100000.0
+","corporate,year,Working Capital Turnover
+Broadcom,2024,6.312607099143207
+Brown & Brown,2024,12.27330779054917
+Lamb Weston,2024,10.491686268148268
+"
+US,fundamental,"In 2024, within Genuine Parts Company, Verisign, Zoetis, Public Service Enterprise Group, Norwegian Cruise Line Holdings, by how much does the company with the lowest Working Capital Turnover differ from the second-ranked company? (Use the average of beginning and ending net working capital) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.287,hard,operational efficiency,Revenue / Average Net Working Capital,"corporate,year,Revenue,CurrentAssetsTotal,CurrentLiabilitiesTotal
+Genuine Parts Company,2023,23090610000.0,9605852000.0,7827109000.0
+Genuine Parts Company,2024,23486569000.0,9852584000.0,8525380000.0
+Verisign,2023,1493100000.0,988300000.0,1188500000.0
+Verisign,2024,1557400000.0,663800000.0,1531100000.0
+Zoetis,2023,8544000000.0,6343000000.0,1889000000.0
+Zoetis,2024,9256000000.0,5986000000.0,3412000000.0
+Public Service Enterprise Group,2023,11237000000.0,3373000000.0,5057000000.0
+Public Service Enterprise Group,2024,10290000000.0,4235000000.0,6505000000.0
+Norwegian Cruise Line Holdings,2023,8549924000.0,1313148000.0,6038701000.0
+Norwegian Cruise Line Holdings,2024,9479651000.0,1010104000.0,5780865000.0
+","corporate,year,Working Capital Turnover
+Genuine Parts Company,2024,15.12361221875325
+Norwegian Cruise Line Holdings,2024,-1.9964906383676866
+Public Service Enterprise Group,2024,-5.204855842185129
+Verisign,2024,-2.9178454332552692
+Zoetis,2024,2.6340352874217414
+"
+US,fundamental,"For Working Capital Turnover in 2019, what is the difference between the top and second-place companies among Amphenol, DuPont, Regeneron Pharmaceuticals, Halliburton? (Use the average of beginning and ending net working capital) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.137,hard,operational efficiency,Revenue / Average Net Working Capital,"corporate,year,Revenue,CurrentAssetsTotal,CurrentLiabilitiesTotal
+Amphenol,2018,8202000000.0,4571600000.0,2451300000.0
+Amphenol,2019,8225400000.0,4211200000.0,2132700000.0
+DuPont,2018,85977000000.0,49603000000.0,24715000000.0
+DuPont,2019,21512000000.0,9999000000.0,8346000000.0
+Regeneron Pharmaceuticals,2018,6710800000.0,6447600000.0,1442800000.0
+Regeneron Pharmaceuticals,2019,7863400000.0,7689100000.0,2096600000.0
+Halliburton,2018,23995000000.0,11151000000.0,4802000000.0
+Halliburton,2019,22408000000.0,11212000000.0,4878000000.0
+","corporate,year,Working Capital Turnover
+Amphenol,2019,3.917976564732781
+DuPont,2019,1.621039146980144
+Halliburton,2019,3.53354884491051
+Regeneron Pharmaceuticals,2019,1.484038387136346
+"
+US,fundamental,"Among News Corp (Class B), Pfizer, Incyte, Air Products, calculate the margin between the lowest-Working Capital Turnover company and the second-place company in 2023. (Use the average of beginning and ending net working capital) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",4.9482,hard,operational efficiency,Revenue / Average Net Working Capital,"corporate,year,Revenue,CurrentAssetsTotal,CurrentLiabilitiesTotal
+News Corp (Class B),2022,10385000000.0,4093000000.0,3519000000.0
+News Corp (Class B),2023,9879000000.0,4053000000.0,3165000000.0
+Pfizer,2022,100330000000.0,51259000000.0,42138000000.0
+Pfizer,2023,58496000000.0,43333000000.0,47794000000.0
+Incyte,2022,3394635000.0,4092850000.0,1157077000.0
+Incyte,2023,3695649000.0,4645402000.0,1240379000.0
+Air Products,2022,12698600000.0,6282900000.0,3465800000.0
+Air Products,2023,12600000000.0,5200500000.0,3895800000.0
+","corporate,year,Working Capital Turnover
+Air Products,2023,6.113833761948663
+Incyte,2023,1.1656735211162763
+News Corp (Class B),2023,13.514363885088919
+Pfizer,2023,25.105579399141632
+"
+US,fundamental,"Among Altria, Paccar, CBRE Group, how much lower is the Current Ratio for the top company compared to the second place in 2021? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.4885,hard,solvency,Current Assets / Current Liabilities,"corporate,year,CurrentAssetsTotal,CurrentLiabilitiesTotal
+Altria,2021,6083000000.0,8579000000.0
+Paccar,2021,8889300000.0,4452000000.0
+CBRE Group,2021,10082365000.0,8418869000.0
+","corporate,year,Current Ratio
+Altria,2021,0.7090569996503089
+CBRE Group,2021,1.1975913866815127
+Paccar,2021,1.9966981132075472
+"
+US,fundamental,"Among Southwest Airlines, NetApp, Union Pacific Corporation, Aon plc, Fair Isaac, what is the gap in Current Ratio between the lowest-ranked company and the runner-up in 2016? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.3307,hard,solvency,Current Assets / Current Liabilities,"corporate,year,CurrentAssetsTotal,CurrentLiabilitiesTotal
+Southwest Airlines,2016,4498000000.0,6844000000.0
+NetApp,2016,6448000000.0,3662000000.0
+Union Pacific Corporation,2016,3596000000.0,3640000000.0
+Aon plc,2016,13146000000.0,12495000000.0
+Fair Isaac,2016,267638000.0,246077000.0
+","corporate,year,Current Ratio
+Aon plc,2016,1.0521008403361345
+Fair Isaac,2016,1.0876189160303482
+NetApp,2016,1.760786455488804
+Southwest Airlines,2016,0.657218001168907
+Union Pacific Corporation,2016,0.987912087912088
+"
+US,fundamental,"In 2023, within Netflix, Diamondback Energy, Adobe Inc., Amphenol, NextEra Energy, by how much does the company with the highest Current Ratio differ from the second-ranked company? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.8247,hard,solvency,Current Assets / Current Liabilities,"corporate,year,CurrentAssetsTotal,CurrentLiabilitiesTotal
+Netflix,2023,9918133000.0,8860655000.0
+Diamondback Energy,2023,1621000000.0,2108000000.0
+Adobe Inc.,2023,11084000000.0,8251000000.0
+Amphenol,2023,6835300000.0,3152700000.0
+NextEra Energy,2023,15361000000.0,27963000000.0
+","corporate,year,Current Ratio
+Adobe Inc.,2023,1.3433523209307963
+Amphenol,2023,2.168078155232023
+Diamondback Energy,2023,0.7689753320683111
+Netflix,2023,1.119345353136986
+NextEra Energy,2023,0.5493330472409971
+"
+US,fundamental,"For Current Ratio in 2016, what is the difference between the top and second-place companies among American Water Works, HP Inc., Insulet Corporation? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",5.6604,hard,solvency,Current Assets / Current Liabilities,"corporate,year,CurrentAssetsTotal,CurrentLiabilitiesTotal
+American Water Works,2016,784000000.0,2392000000.0
+HP Inc.,2016,18468000000.0,18808000000.0
+Insulet Corporation,2016,369960000.0,55697000.0
+","corporate,year,Current Ratio
+American Water Works,2016,0.3277591973244147
+HP Inc.,2016,0.9819225861335602
+Insulet Corporation,2016,6.642368529723324
+"
+US,fundamental,"Among Builders FirstSource, Abbott Laboratories, Nvidia, Home Depot (The), calculate the margin between the lowest-Current Ratio company and the second-place company in 2025. According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.5152,hard,solvency,Current Assets / Current Liabilities,"corporate,year,CurrentAssetsTotal,CurrentLiabilitiesTotal
+Builders FirstSource,2025,2927283000.0,1574941000.0
+Abbott Laboratories,2025,25996000000.0,16496000000.0
+Nvidia,2025,125605000000.0,32163000000.0
+Home Depot (The),2025,34391000000.0,32424000000.0
+","corporate,year,Current Ratio
+Abbott Laboratories,2025,1.5758971871968963
+Builders FirstSource,2025,1.8586620070212154
+Home Depot (The),2025,1.06066493955095
+Nvidia,2025,3.905263812455306
+"
+US,fundamental,"Among ExxonMobil, Darden Restaurants, Motorola Solutions, Thermo Fisher Scientific, how much lower is the Quick Ratio for the top company compared to the second place in 2024? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.7891,hard,solvency,(Current Assets - Inventory) / Current Liabilities,"corporate,year,CurrentAssetsTotal,CurrentLiabilitiesTotal,Inventories
+ExxonMobil,2024,91990000000.0,70307000000.0,19444000000.0
+Darden Restaurants,2024,822800000.0,2192500000.0,290500000.0
+Motorola Solutions,2024,6479000000.0,5055000000.0,766000000.0
+Thermo Fisher Scientific,2024,22137000000.0,13332000000.0,4978000000.0
+","corporate,year,Quick Ratio
+Darden Restaurants,2024,0.24278221208665907
+ExxonMobil,2024,1.0318460466240915
+Motorola Solutions,2024,1.1301681503461918
+Thermo Fisher Scientific,2024,1.287053705370537
+"
+US,fundamental,"Among Fox Corporation (Class A), Cintas, Quest Diagnostics, what is the gap in Quick Ratio between the lowest-ranked company and the runner-up in 2022? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.4074,hard,solvency,(Current Assets - Inventory) / Current Liabilities,"corporate,year,CurrentAssetsTotal,CurrentLiabilitiesTotal,Inventories
+Fox Corporation (Class A),2022,8281000000.0,2296000000.0,791000000.0
+Cintas,2022,2631983000.0,1432890000.0,472150000.0
+Quest Diagnostics,2022,1898000000.0,1551000000.0,192000000.0
+","corporate,year,Quick Ratio
+Cintas,2022,1.5073264521351952
+Fox Corporation (Class A),2022,3.2621951219512195
+Quest Diagnostics,2022,1.0999355254674403
+"
+US,fundamental,"In 2024, within Emerson Electric, Lennox International, Regeneron Pharmaceuticals, Jabil, ConocoPhillips, by how much does the company with the highest Quick Ratio differ from the second-ranked company? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.553,hard,solvency,(Current Assets - Inventory) / Current Liabilities,"corporate,year,CurrentAssetsTotal,CurrentLiabilitiesTotal,Inventories
+Emerson Electric,2024,10192000000.0,5742000000.0,2180000000.0
+Lennox International,2024,1884200000.0,1313300000.0,704800000.0
+Regeneron Pharmaceuticals,2024,18660900000.0,3944300000.0,3087300000.0
+Jabil,2024,12791000000.0,11782000000.0,4276000000.0
+ConocoPhillips,2024,15647000000.0,12124000000.0,1809000000.0
+","corporate,year,Quick Ratio
+ConocoPhillips,2024,1.1413724843286044
+Emerson Electric,2024,1.395332636711947
+Jabil,2024,0.7227126124596842
+Lennox International,2024,0.8980430975405467
+Regeneron Pharmaceuticals,2024,3.9483812083259386
+"
+US,fundamental,"For Quick Ratio in 2024, what is the difference between the top and second-place companies among Philip Morris International, Ametek, Marathon Petroleum, Tesla? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.2467,hard,solvency,(Current Assets - Inventory) / Current Liabilities,"corporate,year,CurrentAssetsTotal,CurrentLiabilitiesTotal,Inventories
+Philip Morris International,2024,20170000000.0,22915000000.0,9453000000.0
+Ametek,2024,2603032000.0,2098587000.0,1021713000.0
+Marathon Petroleum,2024,24447000000.0,20827000000.0,9568000000.0
+Tesla,2024,58360000000.0,28821000000.0,12017000000.0
+","corporate,year,Quick Ratio
+Ametek,2024,0.753516056279773
+Marathon Petroleum,2024,0.7144091803908388
+Philip Morris International,2024,0.4676849225398211
+Tesla,2024,1.6079594739946568
+"
+US,fundamental,"Among Conagra Brands, EOG Resources, West Pharmaceutical Services, Broadcom, Targa Resources, calculate the margin between the highest-Quick Ratio company and the second-place company in 2024. According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.196,hard,solvency,(Current Assets - Inventory) / Current Liabilities,"corporate,year,CurrentAssetsTotal,CurrentLiabilitiesTotal,Inventories
+Conagra Brands,2024,3149500000.0,3241800000.0,2083000000.0
+EOG Resources,2024,11230000000.0,5354000000.0,985000000.0
+West Pharmaceutical Services,2024,1538100000.0,550400000.0,377000000.0
+Broadcom,2024,19595000000.0,16697000000.0,1760000000.0
+Targa Resources,2024,2296300000.0,3172600000.0,334300000.0
+","corporate,year,Quick Ratio
+Broadcom,2024,1.068155956159789
+Conagra Brands,2024,0.32898389783453635
+EOG Resources,2024,1.9135225999252896
+Targa Resources,2024,0.6184202231608145
+West Pharmaceutical Services,2024,2.1095566860465116
+"
+US,fundamental,"Among Chipotle Mexican Grill, Microsoft, Cigna, Packaging Corporation of America, how much higher is the Cash Ratio for the top company compared to the second place in 2023? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.5464,hard,solvency,(Cash + Short-Term Investments) / Current Liabilities,"corporate,year,CashAndMarketableSecurities,ShortTermInvestments,CurrentLiabilitiesTotal
+Chipotle Mexican Grill,2023,560609000.0,734838000.0,1030625000.0
+Microsoft,2023,111262000000.0,76558000000.0,104149000000.0
+Cigna,2023,7822000000.0,925000000.0,48716000000.0
+Packaging Corporation of America,2023,648000000.0,493500000.0,1265700000.0
+","corporate,year,Cash Ratio
+Chipotle Mexican Grill,2023,1.2569528198908428
+Cigna,2023,0.17955086624517613
+Microsoft,2023,1.803377852883849
+Packaging Corporation of America,2023,0.9018724816307182
+"
+US,fundamental,"Among Dow Inc., Moderna, Old Dominion, Delta Air Lines, Abbott Laboratories, what is the gap in Cash Ratio between the highest-ranked company and the runner-up in 2022? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.3548,hard,solvency,(Cash + Short-Term Investments) / Current Liabilities,"corporate,year,CashAndMarketableSecurities,ShortTermInvestments,CurrentLiabilitiesTotal
+Dow Inc.,2022,3886000000.0,0.0,11331000000.0
+Moderna,2022,3205000000.0,6697000000.0,4923000000.0
+Old Dominion,2022,186312000.0,49355000.0,529793000.0
+Delta Air Lines,2022,3266000000.0,3268000000.0,25940000000.0
+Abbott Laboratories,2022,9882000000.0,288000000.0,15489000000.0
+","corporate,year,Cash Ratio
+Abbott Laboratories,2022,0.6565950029052876
+Delta Air Lines,2022,0.25188897455666925
+Dow Inc.,2022,0.34295296090371546
+Moderna,2022,2.0113751777371522
+Old Dominion,2022,0.44482845186704995
+"
+US,fundamental,"In 2024, within United Airlines Holdings, T-Mobile US, A. O. Smith, by how much does the company with the highest Cash Ratio differ from the second-ranked company? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.3131,hard,solvency,(Cash + Short-Term Investments) / Current Liabilities,"corporate,year,CashAndMarketableSecurities,ShortTermInvestments,CurrentLiabilitiesTotal
+United Airlines Holdings,2024,8769000000.0,5706000000.0,23314000000.0
+T-Mobile US,2024,5409000000.0,0.0,20174000000.0
+A. O. Smith,2024,239600000.0,36500000.0,897200000.0
+","corporate,year,Cash Ratio
+A. O. Smith,2024,0.30773517610343293
+T-Mobile US,2024,0.26811737880440173
+United Airlines Holdings,2024,0.62087157930857
+"
+US,fundamental,"For Cash Ratio in 2019, what is the difference between the top and second-place companies among PepsiCo, Fortinet, Steel Dynamics, Cadence Design Systems? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.7684,hard,solvency,(Cash + Short-Term Investments) / Current Liabilities,"corporate,year,CashAndMarketableSecurities,ShortTermInvestments,CurrentLiabilitiesTotal
+PepsiCo,2019,5509000000.0,229000000.0,20461000000.0
+Fortinet,2019,1222500000.0,843100000.0,1473600000.0
+Steel Dynamics,2019,1381460000.0,262174000.0,1006698000.0
+Cadence Design Systems,2019,705210000.0,0.0,672391000.0
+","corporate,year,Cash Ratio
+Cadence Design Systems,2019,1.048809398103187
+Fortinet,2019,1.4017372421281216
+PepsiCo,2019,0.28043595132202725
+Steel Dynamics,2019,1.632698187539858
+"
+US,fundamental,"Among Advanced Micro Devices, Netflix, Parker Hannifin, calculate the margin between the highest-Cash Ratio company and the second-place company in 2023. According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0575,hard,solvency,(Cash + Short-Term Investments) / Current Liabilities,"corporate,year,CashAndMarketableSecurities,ShortTermInvestments,CurrentLiabilitiesTotal
+Advanced Micro Devices,2023,3933000000.0,1840000000.0,6689000000.0
+Netflix,2023,7116913000.0,20973000.0,8860655000.0
+Parker Hannifin,2023,475182000.0,8390000.0,7735370000.0
+","corporate,year,Cash Ratio
+Advanced Micro Devices,2023,0.8630587531768575
+Netflix,2023,0.8055709199827777
+Parker Hannifin,2023,0.0625143981477292
+"
+US,fundamental,"Among Cisco, Loews Corporation, Edison International, how much lower is the Liability-to-Asset Ratio for the top company compared to the second place in 2017? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",20.0787,hard,solvency,Total Liabilities / Total Assets * 100%,"corporate,year,Liabilities,Assets
+Cisco,2017,63681000000.0,129818000000.0
+Loews Corporation,2017,55020000000.0,79586000000.0
+Edison International,2017,38695000000.0,52580000000.0
+","corporate,year,Liability-to-Asset Ratio
+Cisco,2017,49.05406029980434
+Edison International,2017,73.59262076835299
+Loews Corporation,2017,69.1327620435755
+"
+US,fundamental,"Among Franklin Resources, Extra Space Storage, Prudential Financial, what is the gap in Liability-to-Asset Ratio between the lowest-ranked company and the runner-up in 2016? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",41.5904,hard,solvency,Total Liabilities / Total Assets * 100%,"corporate,year,Liabilities,Assets
+Franklin Resources,2016,3509500000.0,16098800000.0
+Extra Space Storage,2016,4495280000.0,7091446000.0
+Prudential Financial,2016,737874000000.0,783962000000.0
+","corporate,year,Liability-to-Asset Ratio
+Extra Space Storage,2016,63.390174584985914
+Franklin Resources,2016,21.799761472904812
+Prudential Financial,2016,94.12114362685946
+"
+US,fundamental,"In 2024, within Starbucks, Prudential Financial, Huntington Bancshares, Lam Research, GE Aerospace, by how much does the company with the highest Liability-to-Asset Ratio differ from the second-ranked company? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",27.8408,hard,solvency,Total Liabilities / Total Assets * 100%,"corporate,year,Liabilities,Assets
+Starbucks,2024,38780900000.0,31339300000.0
+Prudential Financial,2024,705461000000.0,735587000000.0
+Huntington Bancshares,2024,184448000000.0,204230000000.0
+Lam Research,2024,10205274000.0,18744728000.0
+GE Aerospace,2024,103576000000.0,123140000000.0
+","corporate,year,Liability-to-Asset Ratio
+GE Aerospace,2024,84.11239239889557
+Huntington Bancshares,2024,90.31386182245508
+Lam Research,2024,54.44343604239016
+Prudential Financial,2024,95.90449532142357
+Starbucks,2024,123.74526552922369
+"
+US,fundamental,"For Liability-to-Asset Ratio in 2024, what is the difference between the top and second-place companies among Baxter International, NetApp, Travelers Companies (The), Micron Technology, Crown Castle? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",11.9973,hard,solvency,Total Liabilities / Total Assets * 100%,"corporate,year,Liabilities,Assets
+Baxter International,2024,18758000000.0,25782000000.0
+NetApp,2024,8741000000.0,9887000000.0
+Travelers Companies (The),2024,105325000000.0,133189000000.0
+Micron Technology,2024,24285000000.0,69416000000.0
+Crown Castle,2024,32869000000.0,32736000000.0
+","corporate,year,Liability-to-Asset Ratio
+Baxter International,2024,72.75618648669614
+Crown Castle,2024,100.4062805474096
+Micron Technology,2024,34.984729745303675
+NetApp,2024,88.40902194801255
+Travelers Companies (The),2024,79.07935340005557
+"
+US,fundamental,"Among State Street Corporation, Weyerhaeuser, Skyworks Solutions, UnitedHealth Group, calculate the margin between the highest-Liability-to-Asset Ratio company and the second-place company in 2021. (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",27.3429,hard,solvency,Total Liabilities / Total Assets * 100%,"corporate,year,Liabilities,Assets
+State Street Corporation,2021,287261000000.0,314624000000.0
+Weyerhaeuser,2021,6885000000.0,17652000000.0
+Skyworks Solutions,2021,3293600000.0,8590700000.0
+UnitedHealth Group,2021,135727000000.0,212206000000.0
+","corporate,year,Liability-to-Asset Ratio
+Skyworks Solutions,2021,38.33913417998534
+State Street Corporation,2021,91.30295209519936
+UnitedHealth Group,2021,63.9600199805849
+Weyerhaeuser,2021,39.00407885791978
+"
+US,fundamental,"Among ConocoPhillips, Healthpeak Properties, MetLife, Truist Financial, Wells Fargo, how much higher is the Liability-to-Equity Ratio for the top company compared to the second place in 2016? (Unit: %; Total equity includes minority interest) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",369.2316,hard,solvency,Total Liabilities / Total Equity * 100%,"corporate,year,Liabilities,AllEquityBalanceIncludingMinorityInterest
+ConocoPhillips,2016,54546000000.0,35226000000.0
+Healthpeak Properties,2016,9817957000.0,5941308000.0
+MetLife,2016,831284000000.0,67480000000.0
+Truist Financial,2016,189350000000.0,29926000000.0
+Wells Fargo,2016,1729618000000.0,200497000000.0
+","corporate,year,Liability-to-Equity Ratio
+ConocoPhillips,2016,154.84585249531594
+Healthpeak Properties,2016,165.24908319851454
+MetLife,2016,1231.8968583283936
+Truist Financial,2016,632.7273942391232
+Wells Fargo,2016,862.6652767871839
+"
+US,fundamental,"Among Corning Inc., Arch Capital Group, Ares Management, what is the gap in Liability-to-Equity Ratio between the lowest-ranked company and the runner-up in 2017? (Unit: %; Total equity includes minority interest) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",142.8445,hard,solvency,Total Liabilities / Total Equity * 100%,"corporate,year,Liabilities,AllEquityBalanceIncludingMinorityInterest
+Corning Inc.,2017,11724000000.0,15770000000.0
+Arch Capital Group,2017,21805723000.0,10040013000.0
+Ares Management,2017,7103230000.0,1460292000.0
+","corporate,year,Liability-to-Equity Ratio
+Arch Capital Group,2017,217.18819487584332
+Ares Management,2017,486.4253176761908
+Corning Inc.,2017,74.34369055168041
+"
+US,fundamental,"In 2017, within Steel Dynamics, Bristol Myers Squibb, Micron Technology, by how much does the company with the lowest Liability-to-Equity Ratio differ from the second-ranked company? (Unit: %; Total equity includes minority interest) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",29.7091,hard,solvency,Total Liabilities / Total Equity * 100%,"corporate,year,Liabilities,AllEquityBalanceIncludingMinorityInterest
+Steel Dynamics,2017,3549424000.0,3195068000.0
+Bristol Myers Squibb,2017,21704000000.0,11847000000.0
+Micron Technology,2017,15845000000.0,19470000000.0
+","corporate,year,Liability-to-Equity Ratio
+Bristol Myers Squibb,2017,183.2024985228328
+Micron Technology,2017,81.38161273754494
+Steel Dynamics,2017,111.09071856999601
+"
+US,fundamental,"For Liability-to-Equity Ratio in 2021, what is the difference between the top and second-place companies among Colgate-Palmolive, Crown Castle, Regency Centers? (Unit: %; Total equity includes minority interest) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",296.114,hard,solvency,Total Liabilities / Total Equity * 100%,"corporate,year,Liabilities,AllEquityBalanceIncludingMinorityInterest
+Colgate-Palmolive,2021,14069000000.0,971000000.0
+Crown Castle,2021,30782000000.0,8258000000.0
+Regency Centers,2021,4682631000.0,6109932000.0
+","corporate,year,Liability-to-Equity Ratio
+Colgate-Palmolive,2021,1448.918640576725
+Crown Castle,2021,372.75369338822964
+Regency Centers,2021,76.6396581827752
+"
+US,fundamental,"Among Steris, Regions Financial Corporation, Synopsys, calculate the margin between the highest-Liability-to-Equity Ratio company and the second-place company in 2022. (Unit: %; Total equity includes minority interest) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",795.3241,hard,solvency,Total Liabilities / Total Equity * 100%,"corporate,year,Liabilities,AllEquityBalanceIncludingMinorityInterest
+Steris,2022,4734667000.0,6087172000.0
+Regions Financial Corporation,2022,139269000000.0,15951000000.0
+Synopsys,2022,3858897000.0,5520526000.0
+","corporate,year,Liability-to-Equity Ratio
+Regions Financial Corporation,2022,873.1051344743277
+Steris,2022,77.78106155042111
+Synopsys,2022,69.90089350181486
+"
+US,fundamental,"Among CVS Health, PPG Industries, Verizon, Dow Inc., how much higher is the Net Debt to Equity for the top company compared to the second place in 2019? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.8751,hard,solvency,Net Debt / Total Equity; Net Debt = Total Debt (short + long-term debt + operating lease liabilities) - Cash - Short-Term Investments,"corporate,year,ShortTermDebt,LongTermDebt,OperatingLeaseCurrentDebtEquivalent,OperatingLeaseNonCurrentDebtEquivalent,CashAndMarketableSecurities,ShortTermInvestments,AllEquityBalanceIncludingMinorityInterest
+CVS Health,2019,0.0,64699000000.0,1596000000.0,18926000000.0,5683000000.0,2373000000.0,64170000000.0
+PPG Industries,2019,513000000.0,4539000000.0,170000000.0,622000000.0,1216000000.0,57000000.0,5403000000.0
+Verizon,2019,10777000000.0,100712000000.0,3261000000.0,18393000000.0,2594000000.0,0.0,62835000000.0
+Dow Inc.,2019,586000000.0,15975000000.0,421000000.0,1739000000.0,2367000000.0,21000000.0,14094000000.0
+","corporate,year,Net Debt to Equity
+CVS Health,2019,1.2025089605734767
+Dow Inc.,2019,1.1588619270611609
+PPG Industries,2019,0.8460114751064224
+Verizon,2019,2.0776478077504574
+"
+US,fundamental,"Among United Parcel Service, Synopsys, CVS Health, what is the gap in Net Debt to Equity between the highest-ranked company and the runner-up in 2022? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0604,hard,solvency,Net Debt / Total Equity; Net Debt = Total Debt (short + long-term debt + operating lease liabilities) - Cash - Short-Term Investments,"corporate,year,ShortTermDebt,LongTermDebt,OperatingLeaseCurrentDebtEquivalent,OperatingLeaseNonCurrentDebtEquivalent,CashAndMarketableSecurities,ShortTermInvestments,AllEquityBalanceIncludingMinorityInterest
+United Parcel Service,2022,0.0,17321000000.0,621000000.0,3238000000.0,5602000000.0,1993000000.0,19803000000.0
+Synopsys,2022,0.0,20824000.0,54274000.0,581273000.0,1565521000.0,147913000.0,5520526000.0
+CVS Health,2022,0.0,50476000000.0,1678000000.0,16800000000.0,12945000000.0,2778000000.0,71315000000.0
+","corporate,year,Net Debt to Equity
+CVS Health,2022,0.7464208090864475
+Synopsys,2022,-0.19147867431473015
+United Parcel Service,2022,0.6860071706307125
+"
+US,fundamental,"In 2023, within EPAM Systems, Dow Inc., Marathon Petroleum, Block, Equinix, by how much does the company with the highest Net Debt to Equity differ from the second-ranked company? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.2968,hard,solvency,Net Debt / Total Equity; Net Debt = Total Debt (short + long-term debt + operating lease liabilities) - Cash - Short-Term Investments,"corporate,year,ShortTermDebt,LongTermDebt,OperatingLeaseCurrentDebtEquivalent,OperatingLeaseNonCurrentDebtEquivalent,CashAndMarketableSecurities,ShortTermInvestments,AllEquityBalanceIncludingMinorityInterest
+EPAM Systems,2023,0.0,26126000.0,36558000.0,109261000.0,2036235000.0,60739000.0,3471470000.0
+Dow Inc.,2023,62000000.0,14907000000.0,329000000.0,1032000000.0,2987000000.0,0.0,19108000000.0
+Marathon Petroleum,2023,0.0,25329000000.0,454000000.0,764000000.0,5443000000.0,4781000000.0,30504000000.0
+Block,2023,0.0,4120091000.0,0.0,289788000.0,4996465000.0,0.0,18692836000.0
+Equinix,2023,998580000.0,12062346000.0,130745000.0,1331333000.0,2095712000.0,0.0,12488499000.0
+","corporate,year,Net Debt to Equity
+Block,2023,-0.031380257120963345
+Dow Inc.,2023,0.6982939083106552
+EPAM Systems,2023,-0.5545284850510015
+Equinix,2023,0.9950989306240886
+Marathon Petroleum,2023,0.5351101494885917
+"
+US,fundamental,"For Net Debt to Equity in 2021, what is the difference between the top and second-place companies among PPG Industries, CVS Health, United Parcel Service, IBM, Accenture? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.5553,hard,solvency,Net Debt / Total Equity; Net Debt = Total Debt (short + long-term debt + operating lease liabilities) - Cash - Short-Term Investments,"corporate,year,ShortTermDebt,LongTermDebt,OperatingLeaseCurrentDebtEquivalent,OperatingLeaseNonCurrentDebtEquivalent,CashAndMarketableSecurities,ShortTermInvestments,AllEquityBalanceIncludingMinorityInterest
+PPG Industries,2021,9000000.0,6572000000.0,192000000.0,693000000.0,1005000000.0,67000000.0,6411000000.0
+CVS Health,2021,0.0,51971000000.0,1646000000.0,18177000000.0,9408000000.0,3117000000.0,75381000000.0
+United Parcel Service,2021,0.0,19784000000.0,580000000.0,3033000000.0,10255000000.0,338000000.0,14269000000.0
+IBM,2021,6787000000.0,44917000000.0,974000000.0,2462000000.0,6650000000.0,0.0,18996000000.0
+Accenture,2021,12080000.0,53473000.0,744164000.0,2696917000.0,8168174000.0,4294000.0,20097114000.0
+","corporate,year,Net Debt to Equity
+Accenture,2021,-0.23216437942283652
+CVS Health,2021,0.7862591369177909
+IBM,2021,2.552642661612971
+PPG Industries,2021,0.9973483075963189
+United Parcel Service,2021,0.8973298759548672
+"
+US,fundamental,"Among American Electric Power, EPAM Systems, Accenture, Verizon, calculate the margin between the highest-Net Debt to Equity company and the second-place company in 2023. According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.1002,hard,solvency,Net Debt / Total Equity; Net Debt = Total Debt (short + long-term debt + operating lease liabilities) - Cash - Short-Term Investments,"corporate,year,ShortTermDebt,LongTermDebt,OperatingLeaseCurrentDebtEquivalent,OperatingLeaseNonCurrentDebtEquivalent,CashAndMarketableSecurities,ShortTermInvestments,AllEquityBalanceIncludingMinorityInterest
+American Electric Power,2023,2830200000.0,37652700000.0,115700000.0,519400000.0,330100000.0,214300000.0,25285900000.0
+EPAM Systems,2023,0.0,26126000.0,36558000.0,109261000.0,2036235000.0,60739000.0,3471470000.0
+Accenture,2023,104810000.0,43093000.0,690417000.0,2310714000.0,9045032000.0,4575000.0,26458593000.0
+Verizon,2023,0.0,137701000000.0,4266000000.0,20002000000.0,2065000000.0,0.0,93799000000.0
+","corporate,year,Net Debt to Equity
+Accenture,2023,-0.2230115940027499
+American Electric Power,2023,1.6045938645648365
+EPAM Systems,2023,-0.5545284850510015
+Verizon,2023,1.7047516498043689
+"
+US,fundamental,"Among Ingersoll Rand, AES Corporation, Coca-Cola Company (The), PPG Industries, Cisco, how much higher is the Interest Coverage Ratio for the top company compared to the second place in 2023? ( Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",27.3915,hard,solvency,EBIT / Interest Expense = (Pretax Income + Interest Expense) / Interest Expense,"corporate,year,PretaxIncomeLoss,InterestExpense
+Ingersoll Rand,2023,1031100000.0,156700000.0
+AES Corporation,2023,104000000.0,1319000000.0
+Coca-Cola Company (The),2023,12952000000.0,1527000000.0
+PPG Industries,2023,1748000000.0,247000000.0
+Cisco,2023,15318000000.0,427000000.0
+","corporate,year,Interest Coverage Ratio
+AES Corporation,2023,1.0788476118271417
+Cisco,2023,36.87353629976581
+Coca-Cola Company (The),2023,9.481990831696136
+Ingersoll Rand,2023,7.580089342693044
+PPG Industries,2023,8.076923076923077
+"
+US,fundamental,"Among Southern Company, Snap-on, Lowe's, what is the gap in Interest Coverage Ratio between the highest-ranked company and the runner-up in 2017? ( Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",7.0137,hard,solvency,EBIT / Interest Expense = (Pretax Income + Interest Expense) / Interest Expense,"corporate,year,PretaxIncomeLoss,InterestExpense
+Southern Company,2017,1068000000.0,1694000000.0
+Snap-on,2017,821900000.0,52400000.0
+Lowe's,2017,5489000000.0,633000000.0
+","corporate,year,Interest Coverage Ratio
+Lowe's,2017,9.671406003159557
+Snap-on,2017,16.685114503816795
+Southern Company,2017,1.630460448642267
+"
+US,fundamental,"In 2024, within Skyworks Solutions, Axon Enterprise, U.S. Bancorp, Marsh McLennan, Old Dominion, by how much does the company with the lowest Interest Coverage Ratio differ from the second-ranked company? ( Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",7.3142,hard,solvency,EBIT / Interest Expense = (Pretax Income + Interest Expense) / Interest Expense,"corporate,year,PretaxIncomeLoss,InterestExpense
+Skyworks Solutions,2024,636400000.0,30700000.0
+Axon Enterprise,2024,381504000.0,3450000.0
+U.S. Bancorp,2024,7909000000.0,15377000000.0
+Marsh McLennan,2024,5480000000.0,700000000.0
+Old Dominion,2024,1557597000.0,2909000.0
+","corporate,year,Interest Coverage Ratio
+Axon Enterprise,2024,111.5808695652174
+Marsh McLennan,2024,8.82857142857143
+Old Dominion,2024,536.4407012719147
+Skyworks Solutions,2024,21.729641693811075
+U.S. Bancorp,2024,1.5143395981010601
+"
+US,fundamental,"For Interest Coverage Ratio in 2024, what is the difference between the top and second-place companies among Cboe Global Markets, ServiceNow, Prologis? ( Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",64.738,hard,solvency,EBIT / Interest Expense = (Pretax Income + Interest Expense) / Interest Expense,"corporate,year,PretaxIncomeLoss,InterestExpense
+Cboe Global Markets,2024,1083800000.0,100100000.0
+ServiceNow,2024,1738000000.0,23000000.0
+Prologis,2024,4114878000.0,863932000.0
+","corporate,year,Interest Coverage Ratio
+Cboe Global Markets,2024,11.827172827172827
+Prologis,2024,5.762965140774968
+ServiceNow,2024,76.56521739130434
+"
+US,fundamental,"Among CSX Corporation, Hubbell Incorporated, Hologic, calculate the margin between the lowest-Interest Coverage Ratio company and the second-place company in 2021. ( Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",18.3299,hard,solvency,EBIT / Interest Expense = (Pretax Income + Interest Expense) / Interest Expense,"corporate,year,PretaxIncomeLoss,InterestExpense
+CSX Corporation,2021,4951000000.0,718000000.0
+Hubbell Incorporated,2021,459300000.0,16800000.0
+Hologic,2021,2361100000.0,93600000.0
+","corporate,year,Interest Coverage Ratio
+CSX Corporation,2021,7.895543175487465
+Hologic,2021,26.22542735042735
+Hubbell Incorporated,2021,28.339285714285715
+"
+US,fundamental,"Among Cognizant, Marathon Petroleum, Dow Inc., Block, how much higher is the Net Debt to EBITDA for the top company compared to the second place in 2024? ( Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.4437,hard,solvency,Net Debt / EBITDA; Net Debt = Total Debt (short + long-term debt + operating lease liabilities) - Cash - Short-Term Investments; EBITDA = Pretax Income + Interest Expense + D&A,"corporate,year,ShortTermDebt,LongTermDebt,OperatingLeaseCurrentDebtEquivalent,OperatingLeaseNonCurrentDebtEquivalent,CashAndMarketableSecurities,ShortTermInvestments,PretaxIncomeLoss,InterestExpense,DepreciationExpense,AmortizationOfIntangibles
+Cognizant,2024,33000000.0,875000000.0,152000000.0,420000000.0,2231000000.0,12000000.0,2938000000.0,54000000.0,529000000.0,0.0
+Marathon Petroleum,2024,0.0,24432000000.0,417000000.0,860000000.0,3210000000.0,0.0,5957000000.0,839000000.0,3337000000.0,0.0
+Dow Inc.,2024,135000000.0,15711000000.0,318000000.0,984000000.0,2189000000.0,0.0,1600000000.0,811000000.0,2894000000.0,310000000.0
+Block,2024,999497000.0,5105939000.0,0.0,278617000.0,8075247000.0,0.0,1357154000.0,9302000.0,376127000.0,154709000.0
+","corporate,year,Net Debt to EBITDA
+Block,2024,-0.8913725457125208
+Cognizant,2024,-0.21669980119284293
+Dow Inc.,2024,2.664113980409617
+Marathon Petroleum,2024,2.2203690910885228
+"
+US,fundamental,"Among Best Buy, Archer Daniels Midland, United Airlines Holdings, EPAM Systems, what is the gap in Net Debt to EBITDA between the lowest-ranked company and the runner-up in 2022? ( Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.5257,hard,solvency,Net Debt / EBITDA; Net Debt = Total Debt (short + long-term debt + operating lease liabilities) - Cash - Short-Term Investments; EBITDA = Pretax Income + Interest Expense + D&A,"corporate,year,ShortTermDebt,LongTermDebt,OperatingLeaseCurrentDebtEquivalent,OperatingLeaseNonCurrentDebtEquivalent,CashAndMarketableSecurities,ShortTermInvestments,PretaxIncomeLoss,InterestExpense,Depreciation & Amortization
+Best Buy,2022,0.0,1160000000.0,638000000.0,2164000000.0,1874000000.0,0.0,1788000000.0,35000000.0,918000000.0
+Archer Daniels Midland,2022,503000000.0,7735000000.0,292000000.0,816000000.0,9010000000.0,0.0,5233000000.0,409000000.0,1028000000.0
+United Airlines Holdings,2022,104000000.0,28283000000.0,561000000.0,4459000000.0,7166000000.0,9248000000.0,990000000.0,1778000000.0,2456000000.0
+EPAM Systems,2022,2861000.0,27693000.0,40352000.0,122317000.0,1681344000.0,0.0,507258000.0,1659000.0,92272000.0
+","corporate,year,Net Debt to EBITDA
+Archer Daniels Midland,2022,0.05037481259370315
+Best Buy,2022,0.7617657789128055
+EPAM Systems,2022,-2.475296454193274
+United Airlines Holdings,2022,3.2528713629402755
+"
+US,fundamental,"In 2024, within Moody's Corporation, Dow Inc., Bio-Techne, by how much does the company with the highest Net Debt to EBITDA differ from the second-ranked company? ( Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.4538,hard,solvency,Net Debt / EBITDA; Net Debt = Total Debt (short + long-term debt + operating lease liabilities) - Cash - Short-Term Investments; EBITDA = Pretax Income + Interest Expense + D&A,"corporate,year,ShortTermDebt,LongTermDebt,OperatingLeaseCurrentDebtEquivalent,OperatingLeaseNonCurrentDebtEquivalent,CashAndMarketableSecurities,ShortTermInvestments,PretaxIncomeLoss,InterestExpense,DepreciationExpense,AmortizationOfIntangibles
+Moody's Corporation,2024,0.0,6731000000.0,102000000.0,216000000.0,2408000000.0,566000000.0,2699000000.0,237000000.0,431000000.0,0.0
+Dow Inc.,2024,135000000.0,15711000000.0,318000000.0,984000000.0,2189000000.0,0.0,1600000000.0,811000000.0,2894000000.0,310000000.0
+Bio-Techne,2024,0.0,319000000.0,12920000.0,87618000.0,151791000.0,1072000.0,185689000.0,14502000.0,111711000.0,0.0
+","corporate,year,Net Debt to EBITDA
+Bio-Techne,2024,0.8549961205763349
+Dow Inc.,2024,2.664113980409617
+Moody's Corporation,2024,1.2102762102762104
+"
+US,fundamental,"For Net Debt to EBITDA in 2023, what is the difference between the top and second-place companies among PPG Industries, Cognizant, United Parcel Service? ( Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.3181,hard,solvency,Net Debt / EBITDA; Net Debt = Total Debt (short + long-term debt + operating lease liabilities) - Cash - Short-Term Investments; EBITDA = Pretax Income + Interest Expense + D&A,"corporate,year,ShortTermDebt,LongTermDebt,OperatingLeaseCurrentDebtEquivalent,OperatingLeaseNonCurrentDebtEquivalent,CashAndMarketableSecurities,ShortTermInvestments,PretaxIncomeLoss,InterestExpense,DepreciationExpense,AmortizationOfIntangibles
+PPG Industries,2023,306000000.0,5748000000.0,194000000.0,622000000.0,1514000000.0,75000000.0,1748000000.0,247000000.0,558000000.0,167000000.0
+Cognizant,2023,33000000.0,606000000.0,153000000.0,523000000.0,2621000000.0,14000000.0,2787000000.0,41000000.0,519000000.0,0.0
+United Parcel Service,2023,3348000000.0,18916000000.0,709000000.0,3756000000.0,3206000000.0,2866000000.0,8573000000.0,785000000.0,3366000000.0,0.0
+","corporate,year,Net Debt to EBITDA
+Cognizant,2023,-0.39438302957872723
+PPG Industries,2023,1.941544117647059
+United Parcel Service,2023,1.6234674630619301
+"
+US,fundamental,"Among Moody's Corporation, Archer Daniels Midland, Lowe's, calculate the margin between the highest-Net Debt to EBITDA company and the second-place company in 2024. ( Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.2247,hard,solvency,Net Debt / EBITDA; Net Debt = Total Debt (short + long-term debt + operating lease liabilities) - Cash - Short-Term Investments; EBITDA = Pretax Income + Interest Expense + D&A,"corporate,year,ShortTermDebt,LongTermDebt,OperatingLeaseCurrentDebtEquivalent,OperatingLeaseNonCurrentDebtEquivalent,CashAndMarketableSecurities,ShortTermInvestments,PretaxIncomeLoss,InterestExpense,Depreciation & Amortization
+Moody's Corporation,2024,0.0,6731000000.0,102000000.0,216000000.0,2408000000.0,566000000.0,2699000000.0,237000000.0,431000000.0
+Archer Daniels Midland,2024,1903000000.0,7580000000.0,324000000.0,1057000000.0,246000000.0,0.0,2255000000.0,710000000.0,1141000000.0
+Lowe's,2024,0.0,32901000000.0,563000000.0,3628000000.0,1761000000.0,372000000.0,9153000000.0,1313000000.0,1972000000.0
+","corporate,year,Net Debt to EBITDA
+Archer Daniels Midland,2024,2.585971748660497
+Lowe's,2024,2.810660877954655
+Moody's Corporation,2024,1.2102762102762104
+"
+US,fundamental,"Among Vertex Pharmaceuticals, CVS Health, Franklin Resources, how much lower is the Revenue Growth for the top company compared to the second place in 2024? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.8065,hard,growth,(Revenue_t - Revenue_{t-1}) / Revenue_{t-1} * 100%,"corporate,year,Revenue
+Vertex Pharmaceuticals,2023,9869200000.0
+Vertex Pharmaceuticals,2024,11020100000.0
+CVS Health,2023,357776000000.0
+CVS Health,2024,372809000000.0
+Franklin Resources,2023,7849400000.0
+Franklin Resources,2024,8478000000.0
+","corporate,year,Revenue Growth
+CVS Health,2024,4.201791064800322
+Franklin Resources,2024,8.008255408056666
+Vertex Pharmaceuticals,2024,11.661532849673732
+"
+US,fundamental,"Among Bunge Global, Booking Holdings, Yum! Brands, Xylem Inc., what is the gap in Revenue Growth between the lowest-ranked company and the runner-up in 2024? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",17.4874,hard,growth,(Revenue_t - Revenue_{t-1}) / Revenue_{t-1} * 100%,"corporate,year,Revenue
+Bunge Global,2023,59540000000.0
+Bunge Global,2024,53108000000.0
+Booking Holdings,2023,21365000000.0
+Booking Holdings,2024,23739000000.0
+Yum! Brands,2023,7076000000.0
+Yum! Brands,2024,7549000000.0
+Xylem Inc.,2023,7364000000.0
+Xylem Inc.,2024,8562000000.0
+","corporate,year,Revenue Growth
+Booking Holdings,2024,11.111631172478353
+Bunge Global,2024,-10.802821632515956
+Xylem Inc.,2024,16.268332428028245
+Yum! Brands,2024,6.684567552289429
+"
+US,fundamental,"In 2025, within Alphabet Inc. (Class A), Bristol Myers Squibb, Paychex, WEC Energy Group, Equifax, by how much does the company with the highest Revenue Growth differ from the second-ranked company? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.1341,hard,growth,(Revenue_t - Revenue_{t-1}) / Revenue_{t-1} * 100%,"corporate,year,Revenue
+Alphabet Inc. (Class A),2024,350018000000.0
+Alphabet Inc. (Class A),2025,402836000000.0
+Bristol Myers Squibb,2024,48300000000.0
+Bristol Myers Squibb,2025,48194000000.0
+Paychex,2024,5132000000.0
+Paychex,2025,5410000000.0
+WEC Energy Group,2024,8599900000.0
+WEC Energy Group,2025,9800100000.0
+Equifax,2024,5681100000.0
+Equifax,2025,6074500000.0
+","corporate,year,Revenue Growth
+Alphabet Inc. (Class A),2025,15.090081081544376
+Bristol Myers Squibb,2025,-0.21946169772256727
+Equifax,2025,6.924715284011899
+Paychex,2025,5.416991426344505
+WEC Energy Group,2025,13.955976232281772
+"
+US,fundamental,"For Revenue Growth in 2024, what is the difference between the top and second-place companies among Alphabet Inc. (Class A), Warner Bros. Discovery, Salesforce, Match Group, Cisco? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",5.1506,hard,growth,(Revenue_t - Revenue_{t-1}) / Revenue_{t-1} * 100%,"corporate,year,Revenue
+Alphabet Inc. (Class A),2023,307394000000.0
+Alphabet Inc. (Class A),2024,350018000000.0
+Warner Bros. Discovery,2023,41321000000.0
+Warner Bros. Discovery,2024,39321000000.0
+Salesforce,2023,34857000000.0
+Salesforce,2024,37895000000.0
+Match Group,2023,3364504000.0
+Match Group,2024,3479373000.0
+Cisco,2023,56998000000.0
+Cisco,2024,53803000000.0
+","corporate,year,Revenue Growth
+Alphabet Inc. (Class A),2024,13.866243322901553
+Cisco,2024,-5.605459840696165
+Match Group,2024,3.4141436598083996
+Salesforce,2024,8.715609490202828
+Warner Bros. Discovery,2024,-4.8401539168945575
+"
+US,fundamental,"Among Comcast, United Parcel Service, PPL Corporation, calculate the margin between the highest-Revenue Growth company and the second-place company in 2025. (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",6.8736,hard,growth,(Revenue_t - Revenue_{t-1}) / Revenue_{t-1} * 100%,"corporate,year,Revenue
+Comcast,2024,123731000000.0
+Comcast,2025,123707000000.0
+United Parcel Service,2024,91070000000.0
+United Parcel Service,2025,88661000000.0
+PPL Corporation,2024,8462000000.0
+PPL Corporation,2025,9042000000.0
+","corporate,year,Revenue Growth
+Comcast,2025,-0.019396917506526255
+PPL Corporation,2025,6.854171590640511
+United Parcel Service,2025,-2.64521796420336
+"
+US,fundamental,"Among Analog Devices, Tesla, Edwards Lifesciences, Medtronic, Chevron Corporation, how much higher is the EBITDA Growth for the top company compared to the second place in 2023? (Unit: %; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",11.2626,hard,growth,(EBITDA_t - EBITDA_{t-1}) / EBITDA_{t-1} * 100%; EBITDA = Pretax Income + Interest Expense + D&A,"corporate,year,PretaxIncomeLoss,InterestExpense,DepreciationExpense,AmortizationOfIntangibles
+Analog Devices,2022,3098749000.0,200408000.0,283338000.0,2014161000.0
+Analog Devices,2023,3608003000.0,264641000.0,334704000.0,1958399000.0
+Tesla,2022,13719000000.0,191000000.0,0.0,0.0
+Tesla,2023,9973000000.0,156000000.0,0.0,0.0
+Edwards Lifesciences,2022,1767400000.0,19200000.0,139600000.0,0.0
+Edwards Lifesciences,2023,1598100000.0,17600000.0,144900000.0,0.0
+Medtronic,2022,5517000000.0,553000000.0,2707000000.0,1733000000.0
+Medtronic,2023,5364000000.0,636000000.0,2697000000.0,1698000000.0
+Chevron Corporation,2022,49674000000.0,516000000.0,16319000000.0,0.0
+Chevron Corporation,2023,29584000000.0,469000000.0,17326000000.0,0.0
+","corporate,year,EBITDA Growth
+Analog Devices,2023,10.168411279878557
+Chevron Corporation,2023,-28.763024553068007
+Edwards Lifesciences,2023,-8.597238085349392
+Medtronic,2023,-1.0941960038058993
+Tesla,2023,-27.181883537023726
+"
+US,fundamental,"Among American Water Works, Akamai Technologies, Waste Management, Extra Space Storage, Parker Hannifin, what is the gap in EBITDA Growth between the lowest-ranked company and the runner-up in 2020? (Unit: %; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",9.1589,hard,growth,(EBITDA_t - EBITDA_{t-1}) / EBITDA_{t-1} * 100%; EBITDA = Pretax Income + Interest Expense + D&A,"corporate,year,PretaxIncomeLoss,InterestExpense,DepreciationExpense,AmortizationOfIntangibles
+American Water Works,2019,833000000.0,383000000.0,582000000.0,0.0
+American Water Works,2020,924000000.0,382000000.0,604000000.0,0.0
+Akamai Technologies,2019,532481000.0,49364000.0,440674000.0,38581000.0
+Akamai Technologies,2020,616082000.0,69120000.0,478389000.0,42049000.0
+Waste Management,2019,2105000000.0,411000000.0,1574000000.0,0.0
+Waste Management,2020,1893000000.0,425000000.0,1671000000.0,0.0
+Extra Space Storage,2019,451157000.0,174155000.0,219857000.0,0.0
+Extra Space Storage,2020,509031000.0,159597000.0,0.0,0.0
+Parker Hannifin,2019,1933425000.0,190138000.0,225675000.0,0.0
+Parker Hannifin,2020,1512627000.0,308161000.0,252899000.0,0.0
+","corporate,year,EBITDA Growth
+Akamai Technologies,2020,13.621713316369805
+American Water Works,2020,6.229143492769744
+Extra Space Storage,2020,-20.888248385825793
+Parker Hannifin,2020,-11.729377781220975
+Waste Management,2020,-2.469437652811736
+"
+US,fundamental,"In 2024, within Prologis, Netflix, Equity Residential, by how much does the company with the highest EBITDA Growth differ from the second-ranked company? (Unit: %; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",36.9509,hard,growth,(EBITDA_t - EBITDA_{t-1}) / EBITDA_{t-1} * 100%; EBITDA = Pretax Income + Interest Expense + D&A,"corporate,year,PretaxIncomeLoss,InterestExpense,Depreciation & Amortization
+Prologis,2023,3464183000.0,641332000.0,2484891000.0
+Prologis,2024,4114878000.0,863932000.0,2580519000.0
+Netflix,2023,6205405000.0,699826000.0,356947000.0
+Netflix,2024,9965657000.0,718733000.0,328914000.0
+Equity Residential,2023,875014000.0,269556000.0,888709000.0
+Equity Residential,2024,1081205000.0,285735000.0,952191000.0
+","corporate,year,EBITDA Growth
+Equity Residential,2024,14.058670748087204
+Netflix,2024,51.65290633195716
+Prologis,2024,14.702022910272902
+"
+US,fundamental,"For EBITDA Growth in 2019, what is the difference between the top and second-place companies among Intercontinental Exchange, NRG Energy, Expedia Group, Molson Coors Beverage Company, HP Inc.? (Unit: %; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.9521,hard,growth,(EBITDA_t - EBITDA_{t-1}) / EBITDA_{t-1} * 100%; EBITDA = Pretax Income + Interest Expense + D&A,"corporate,year,PretaxIncomeLoss,InterestExpense,DepreciationExpense,AmortizationOfIntangibles
+Intercontinental Exchange,2018,2520000000.0,244000000.0,586000000.0,0.0
+Intercontinental Exchange,2019,2481000000.0,285000000.0,662000000.0,0.0
+NRG Energy,2018,467000000.0,483000000.0,421000000.0,0.0
+NRG Energy,2019,786000000.0,413000000.0,373000000.0,0.0
+Expedia Group,2018,485000000.0,190000000.0,676000000.0,283000000.0
+Expedia Group,2019,775000000.0,173000000.0,712000000.0,198000000.0
+Molson Coors Beverage Company,2018,1359800000.0,306200000.0,857500000.0,0.0
+Molson Coors Beverage Company,2019,479900000.0,280900000.0,859000000.0,0.0
+HP Inc.,2018,3013000000.0,329000000.0,528000000.0,80000000.0
+HP Inc.,2019,2523000000.0,240000000.0,744000000.0,116000000.0
+","corporate,year,EBITDA Growth
+Expedia Group,2019,13.708690330477355
+HP Inc.,2019,-8.278481012658228
+Intercontinental Exchange,2019,2.328358208955224
+Molson Coors Beverage Company,2019,-35.81137309292649
+NRG Energy,2019,14.660831509846828
+"
+US,fundamental,"Among Tyson Foods, Fidelity National Information Services, Tapestry, Hormel Foods, calculate the margin between the lowest-EBITDA Growth company and the second-place company in 2019. (Unit: %; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.6036,hard,growth,(EBITDA_t - EBITDA_{t-1}) / EBITDA_{t-1} * 100%; EBITDA = Pretax Income + Interest Expense + D&A,"corporate,year,PretaxIncomeLoss,InterestExpense,DepreciationExpense,AmortizationOfIntangibles
+Tyson Foods,2018,2745000000.0,350000000.0,723000000.0,0.0
+Tyson Foods,2019,2431000000.0,462000000.0,819000000.0,0.0
+Fidelity National Information Services,2018,1104000000.0,298000000.0,1420000000.0,0.0
+Fidelity National Information Services,2019,413000000.0,332000000.0,2444000000.0,0.0
+Tapestry,2018,596800000.0,63000000.0,0.0,0.0
+Tapestry,2019,766200000.0,45400000.0,0.0,0.0
+Hormel Foods,2018,1181284000.0,26494000.0,149205000.0,12653000.0
+Hormel Foods,2019,1209715000.0,18070000.0,153182000.0,0.0
+","corporate,year,EBITDA Growth
+Fidelity National Information Services,2019,13.0049610205528
+Hormel Foods,2019,0.8273001001726007
+Tapestry,2019,23.006971809639285
+Tyson Foods,2019,-2.776322682032478
+"
+US,fundamental,"Among Lululemon Athletica, Builders FirstSource, Invesco, how much lower is the Net Income Growth for the top company compared to the second place in 2017? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",58.3922,hard,growth,(Net Income_t - Net Income_{t-1}) / |Net Income_{t-1}| * 100%,"corporate,year,NetIncome
+Lululemon Athletica,2016,303381000.0
+Lululemon Athletica,2017,258662000.0
+Builders FirstSource,2016,144341000.0
+Builders FirstSource,2017,38781000.0
+Invesco,2016,854200000.0
+Invesco,2017,1127300000.0
+","corporate,year,Net Income Growth
+Builders FirstSource,2017,-73.13237403094061
+Invesco,2017,31.97143526106298
+Lululemon Athletica,2017,-14.740211153631902
+"
+US,fundamental,"Among Cintas, Kraft Heinz, Charter Communications, what is the gap in Net Income Growth between the highest-ranked company and the runner-up in 2022? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",122.2656,hard,growth,(Net Income_t - Net Income_{t-1}) / |Net Income_{t-1}| * 100%,"corporate,year,NetIncome
+Cintas,2021,1110968000.0
+Cintas,2022,1235757000.0
+Kraft Heinz,2021,1012000000.0
+Kraft Heinz,2022,2363000000.0
+Charter Communications,2021,4654000000.0
+Charter Communications,2022,5055000000.0
+","corporate,year,Net Income Growth
+Charter Communications,2022,8.616244091104425
+Cintas,2022,11.232456740428168
+Kraft Heinz,2022,133.498023715415
+"
+US,fundamental,"In 2023, within ExxonMobil, Devon Energy, Wells Fargo, Lennar, by how much does the company with the highest Net Income Growth differ from the second-ranked company? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",59.8555,hard,growth,(Net Income_t - Net Income_{t-1}) / |Net Income_{t-1}| * 100%,"corporate,year,NetIncome
+ExxonMobil,2022,55740000000.0
+ExxonMobil,2023,36010000000.0
+Devon Energy,2022,6015000000.0
+Devon Energy,2023,3747000000.0
+Wells Fargo,2022,13182000000.0
+Wells Fargo,2023,19142000000.0
+Lennar,2022,4614125000.0
+Lennar,2023,3938511000.0
+","corporate,year,Net Income Growth
+Devon Energy,2023,-37.70573566084788
+ExxonMobil,2023,-35.39648367420165
+Lennar,2023,-14.642299460894536
+Wells Fargo,2023,45.2131694735245
+"
+US,fundamental,"For Net Income Growth in 2017, what is the difference between the top and second-place companies among Travelers Companies (The), Rockwell Automation, Cincinnati Financial? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",63.6629,hard,growth,(Net Income_t - Net Income_{t-1}) / |Net Income_{t-1}| * 100%,"corporate,year,NetIncome
+Travelers Companies (The),2016,3014000000.0
+Travelers Companies (The),2017,2056000000.0
+Rockwell Automation,2016,729700000.0
+Rockwell Automation,2017,825700000.0
+Cincinnati Financial,2016,591000000.0
+Cincinnati Financial,2017,1045000000.0
+","corporate,year,Net Income Growth
+Cincinnati Financial,2017,76.81895093062606
+Rockwell Automation,2017,13.15609154447033
+Travelers Companies (The),2017,-31.785003317850034
+"
+US,fundamental,"Among Zebra Technologies, Seagate Technology, Garmin, calculate the margin between the highest-Net Income Growth company and the second-place company in 2021. (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",35.1949,hard,growth,(Net Income_t - Net Income_{t-1}) / |Net Income_{t-1}| * 100%,"corporate,year,NetIncome
+Zebra Technologies,2020,504000000.0
+Zebra Technologies,2021,837000000.0
+Seagate Technology,2020,1004000000.0
+Seagate Technology,2021,1314000000.0
+Garmin,2020,992324000.0
+Garmin,2021,1082200000.0
+","corporate,year,Net Income Growth
+Garmin,2021,9.057122472095807
+Seagate Technology,2021,30.87649402390438
+Zebra Technologies,2021,66.07142857142857
+"
+US,fundamental,"Among UDR, Aptiv, Cadence Design Systems, Cisco, how much higher is the EPS Growth for the top company compared to the second place in 2022? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",10.1016,hard,growth,(EPS_t - EPS_{t-1}) / |EPS_{t-1}| * 100%; EPS = Net Income / Weighted-Average Basic Shares,"corporate,year,NetIncome,SharesAverage
+UDR,2021,150016000.0,300326000.0
+UDR,2022,86924000.0,321671000.0
+Aptiv,2021,590000000.0,270460000.0
+Aptiv,2022,594000000.0,270900000.0
+Cadence Design Systems,2021,695955000.0,273504000.0
+Cadence Design Systems,2022,848952000.0,271198000.0
+Cisco,2021,10591000000.0,4222000000.0
+Cisco,2022,11812000000.0,4170000000.0
+","corporate,year,EPS Growth
+Aptiv,2022,0.514443380820992
+Cadence Design Systems,2022,23.020978298606135
+Cisco,2022,12.919421426318486
+UDR,2022,-45.90175898075136
+"
+US,fundamental,"Among Lam Research, UDR, AbbVie, what is the gap in EPS Growth between the highest-ranked company and the runner-up in 2025? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",321.5135,hard,growth,(EPS_t - EPS_{t-1}) / |EPS_{t-1}| * 100%; EPS = Net Income / Weighted-Average Basic Shares,"corporate,year,NetIncome,SharesAverage
+Lam Research,2024,3827772000.0,131410000.0
+Lam Research,2025,5358217000.0,1286101000.0
+UDR,2024,89585000.0,329290000.0
+UDR,2025,377704000.0,330322000.0
+AbbVie,2024,4278000000.0,1769000000.0
+AbbVie,2025,4226000000.0,1769000000.0
+","corporate,year,EPS Growth
+AbbVie,2025,-1.215521271622252
+Lam Research,2025,-85.69698559465165
+UDR,2025,320.2980052542
+"
+US,fundamental,"In 2023, within Albemarle Corporation, Morgan Stanley, EOG Resources, Zoetis, by how much does the company with the highest EPS Growth differ from the second-ranked company? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",14.5254,hard,growth,(EPS_t - EPS_{t-1}) / |EPS_{t-1}| * 100%; EPS = Net Income / Weighted-Average Basic Shares,"corporate,year,NetIncome,SharesAverage
+Albemarle Corporation,2022,2689816000.0,117120000.0
+Albemarle Corporation,2023,1573476000.0,117317000.0
+Morgan Stanley,2022,11029000000.0,1691000000.0
+Morgan Stanley,2023,9087000000.0,1628000000.0
+EOG Resources,2022,7759000000.0,583000000.0
+EOG Resources,2023,7594000000.0,581000000.0
+Zoetis,2022,2114000000.0,468891000.0
+Zoetis,2023,2344000000.0,461172000.0
+","corporate,year,EPS Growth
+Albemarle Corporation,2023,-41.6006967855492
+EOG Resources,2023,-1.789648975738353
+Morgan Stanley,2023,-14.419740630185823
+Zoetis,2023,12.735732228153577
+"
+US,fundamental,"For EPS Growth in 2023, what is the difference between the top and second-place companies among ON Semiconductor, Chipotle Mexican Grill, Roper Technologies, Airbnb? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",115.0123,hard,growth,(EPS_t - EPS_{t-1}) / |EPS_{t-1}| * 100%; EPS = Net Income / Weighted-Average Basic Shares,"corporate,year,NetIncome,SharesAverage
+ON Semiconductor,2022,1902200000.0,433200000.0
+ON Semiconductor,2023,2183700000.0,430700000.0
+Chipotle Mexican Grill,2022,899101000.0,27851000.0
+Chipotle Mexican Grill,2023,1228737000.0,27555000.0
+Roper Technologies,2022,4544700000.0,105900000.0
+Roper Technologies,2023,1384200000.0,106600000.0
+Airbnb,2022,1893000000.0,637000000.0
+Airbnb,2023,4792000000.0,637000000.0
+","corporate,year,EPS Growth
+Airbnb,2023,153.14315900686745
+Chipotle Mexican Grill,2023,38.13089738473822
+ON Semiconductor,2023,15.465003471229052
+Roper Technologies,2023,-69.74254611819035
+"
+US,fundamental,"Among Vulcan Materials Company, Amphenol, Fortinet, calculate the margin between the lowest-EPS Growth company and the second-place company in 2017. (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",16.8818,hard,growth,(EPS_t - EPS_{t-1}) / |EPS_{t-1}| * 100%; EPS = Net Income / Weighted-Average Basic Shares,"corporate,year,NetIncome,SharesAverage
+Vulcan Materials Company,2016,419491000.0,133205000.0
+Vulcan Materials Company,2017,601185000.0,132513000.0
+Amphenol,2016,822900000.0,308300000.0
+Amphenol,2017,650500000.0,305700000.0
+Fortinet,2016,32187000.0,172621000.0
+Fortinet,2017,31399000.0,174315000.0
+","corporate,year,EPS Growth
+Amphenol,2017,-20.277974450125384
+Fortinet,2017,-3.396205649093611
+Vulcan Materials Company,2017,44.06136620637822
+"
+US,fundamental,"Among FactSet, Expand Energy, Fortive, how much higher is the Free Cash Flow for the top company compared to the second place in 2024? (Unit: $) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",791743000.0,hard,cash flow,CFO - Capex,"corporate,year,NetCashFromOperatingActivities,CapitalExpenses
+FactSet,2024,700338000.0,85681000.0
+Expand Energy,2024,1565000000.0,1557000000.0
+Fortive,2024,1526800000.0,120400000.0
+","corporate,year,Free Cash Flow
+Expand Energy,2024,8000000.0
+FactSet,2024,614657000.0
+Fortive,2024,1406400000.0
+"
+US,fundamental,"Among Tesla, Western Digital, Coca-Cola Company (The), ServiceNow, what is the gap in Free Cash Flow between the lowest-ranked company and the runner-up in 2019? (Unit: $) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",300080000.0,hard,cash flow,CFO - Capex,"corporate,year,NetCashFromOperatingActivities,CapitalExpenses
+Tesla,2019,2405000000.0,1327000000.0
+Western Digital,2019,1547000000.0,876000000.0
+Coca-Cola Company (The),2019,10471000000.0,2054000000.0
+ServiceNow,2019,1235972000.0,264892000.0
+","corporate,year,Free Cash Flow
+Coca-Cola Company (The),2019,8417000000.0
+ServiceNow,2019,971080000.0
+Tesla,2019,1078000000.0
+Western Digital,2019,671000000.0
+"
+US,fundamental,"In 2020, within PG&E Corporation, KLA Corporation, Dollar Tree, by how much does the company with the highest Free Cash Flow differ from the second-ranked company? (Unit: $) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",191325000.0,hard,cash flow,CFO - Capex,"corporate,year,NetCashFromOperatingActivities,CapitalExpenses
+PG&E Corporation,2020,-19130000000.0,7690000000.0
+KLA Corporation,2020,1778850000.0,152675000.0
+Dollar Tree,2020,2716300000.0,898800000.0
+","corporate,year,Free Cash Flow
+Dollar Tree,2020,1817500000.0
+KLA Corporation,2020,1626175000.0
+PG&E Corporation,2020,-26820000000.0
+"
+US,fundamental,"For Free Cash Flow in 2016, what is the difference between the top and second-place companies among Labcorp, A. O. Smith, Akamai Technologies, Verizon? (Unit: $) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",4759000000.0,hard,cash flow,CFO - Capex,"corporate,year,NetCashFromOperatingActivities,CapitalExpenses
+Labcorp,2016,1175900000.0,278900000.0
+A. O. Smith,2016,446600000.0,80700000.0
+Akamai Technologies,2016,866298000.0,180949000.0
+Verizon,2016,22715000000.0,17059000000.0
+","corporate,year,Free Cash Flow
+A. O. Smith,2016,365900000.0
+Akamai Technologies,2016,685349000.0
+Labcorp,2016,897000000.0
+Verizon,2016,5656000000.0
+"
+US,fundamental,"Among Expedia Group, West Pharmaceutical Services, Charles Schwab Corporation, Cadence Design Systems, Cummins, calculate the margin between the highest-Free Cash Flow company and the second-place company in 2019. (Unit: $) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",6136000000.0,hard,cash flow,CFO - Capex,"corporate,year,NetCashFromOperatingActivities,CapitalExpenses
+Expedia Group,2019,2767000000.0,1160000000.0
+West Pharmaceutical Services,2019,367200000.0,126400000.0
+Charles Schwab Corporation,2019,9325000000.0,708000000.0
+Cadence Design Systems,2019,729600000.0,74605000.0
+Cummins,2019,3181000000.0,700000000.0
+","corporate,year,Free Cash Flow
+Cadence Design Systems,2019,654995000.0
+Charles Schwab Corporation,2019,8617000000.0
+Cummins,2019,2481000000.0
+Expedia Group,2019,1607000000.0
+West Pharmaceutical Services,2019,240800000.0
+"
+US,fundamental,"Among Avery Dennison, Tractor Supply, Applied Materials, how much lower is the Free Cash Flow to Firm for the top company compared to the second place in 2021? (Unit: $) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",315745370.0075,hard,cash flow,CFO - Capex + Interest Expense x (1 - effective tax rate),"corporate,year,NetCashFromOperatingActivities,CapitalExpenses,InterestExpense,IncomeTaxes,PretaxIncomeLoss
+Avery Dennison,2021,1046800000.0,255000000.0,70200000.0,248600000.0,992600000.0
+Tractor Supply,2021,1138720000.0,628431000.0,23601000.0,282974000.0,1280088000.0
+Applied Materials,2021,5442000000.0,668000000.0,236000000.0,883000000.0,6771000000.0
+","corporate,year,Free Cash Flow to Firm
+Applied Materials,2021,4979223452.961158
+Avery Dennison,2021,844418174.4912351
+Tractor Supply,2021,528672804.4837542
+"
+US,fundamental,"Among Leidos, Oneok, McCormick & Company, what is the gap in Free Cash Flow to Firm between the lowest-ranked company and the runner-up in 2023? (Unit: $) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",194549182.3096,hard,cash flow,CFO - Capex + Interest Expense x (1 - effective tax rate),"corporate,year,NetCashFromOperatingActivities,CapitalExpenses,InterestExpense,IncomeTaxes,PretaxIncomeLoss
+Leidos,2023,1165000000.0,207000000.0,207000000.0,435000000.0,403000000.0
+Oneok,2023,4421000000.0,1595000000.0,866000000.0,829000000.0,3497000000.0
+McCormick & Company,2023,1237300000.0,263900000.0,208200000.0,174500000.0,798700000.0
+","corporate,year,Free Cash Flow to Firm
+Leidos,2023,941563275.4342432
+McCormick & Company,2023,1136112457.7438338
+Oneok,2023,3486705747.7838144
+"
+US,fundamental,"In 2021, within Alphabet Inc. (Class C), Textron, Brown–Forman, Home Depot (The), by how much does the company with the lowest Free Cash Flow to Firm differ from the second-ranked company? (Unit: $) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",522842804.9629,hard,cash flow,CFO - Capex + Interest Expense x (1 - effective tax rate),"corporate,year,NetCashFromOperatingActivities,CapitalExpenses,InterestExpense,IncomeTaxes,PretaxIncomeLoss
+Alphabet Inc. (Class C),2021,91652000000.0,24640000000.0,0.0,14701000000.0,90734000000.0
+Textron,2021,1599000000.0,375000000.0,142000000.0,126000000.0,873000000.0
+Brown–Forman,2021,817000000.0,62000000.0,81000000.0,178000000.0,1081000000.0
+Home Depot (The),2021,16571000000.0,2566000000.0,1347000000.0,5304000000.0,21737000000.0
+","corporate,year,Free Cash Flow to Firm
+Alphabet Inc. (Class C),2021,67012000000.0
+Brown–Forman,2021,822662349.6762257
+Home Depot (The),2021,15023321341.491467
+Textron,2021,1345505154.6391752
+"
+US,fundamental,"For Free Cash Flow to Firm in 2024, what is the difference between the top and second-place companies among Arthur J. Gallagher & Co., Meta Platforms, Tyson Foods? (Unit: $) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",51618941886.4955,hard,cash flow,CFO - Capex + Interest Expense x (1 - effective tax rate),"corporate,year,NetCashFromOperatingActivities,CapitalExpenses,InterestExpense,IncomeTaxes,PretaxIncomeLoss
+Arthur J. Gallagher & Co.,2024,2582900000.0,0.0,381300000.0,404400000.0,1874800000.0
+Meta Platforms,2024,91328000000.0,37256000000.0,486000000.0,8303000000.0,70663000000.0
+Tyson Foods,2024,2590000000.0,1132000000.0,481000000.0,270000000.0,1092000000.0
+","corporate,year,Free Cash Flow to Firm
+Arthur J. Gallagher & Co.,2024,2881952442.9272456
+Meta Platforms,2024,54500894329.42275
+Tyson Foods,2024,1820071428.5714285
+"
+US,fundamental,"Among Progressive Corporation, Domino's, WEC Energy Group, calculate the margin between the lowest-Free Cash Flow to Firm company and the second-place company in 2016. (Unit: $) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",633812975.2761,hard,cash flow,CFO - Capex + Interest Expense x (1 - effective tax rate),"corporate,year,NetCashFromOperatingActivities,CapitalExpenses,InterestExpense,IncomeTaxes,PretaxIncomeLoss
+Progressive Corporation,2016,2701900000.0,215000000.0,140900000.0,413500000.0,1470700000.0
+Domino's,2016,287273000.0,58555000.0,110069000.0,129980000.0,344658000.0
+WEC Energy Group,2016,2103500000.0,1423700000.0,402700000.0,566500000.0,1506700000.0
+","corporate,year,Free Cash Flow to Firm
+Domino's,2016,297276956.3625391
+Progressive Corporation,2016,2588184748.759094
+WEC Energy Group,2016,931089931.6386806
+"
+US,fundamental,"Among Marathon Petroleum, Intuit, Keurig Dr Pepper, how much higher is the Free Cash Flow to Equity for the top company compared to the second place in 2025? (Unit: $; Net Borrowing is approximated as the year-over-year change in (short-term debt + long-term debt)) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",4283000000.0,hard,cash flow,CFO - Capex + Net Borrowing; Net Borrowing = delta(Short-Term Debt + Long-Term Debt),"corporate,year,NetCashFromOperatingActivities,CapitalExpenses,ShortTermDebt,LongTermDebt
+Marathon Petroleum,2024,8665000000.0,2533000000.0,0.0,24432000000.0
+Marathon Petroleum,2025,8253000000.0,3486000000.0,0.0,30505000000.0
+Intuit,2024,4884000000.0,191000000.0,0.0,5539000000.0
+Intuit,2025,6207000000.0,84000000.0,0.0,5973000000.0
+Keurig Dr Pepper,2024,2219000000.0,563000000.0,2642000000.0,12912000000.0
+Keurig Dr Pepper,2025,1991000000.0,486000000.0,3105000000.0,13036000000.0
+","corporate,year,Free Cash Flow to Equity
+Intuit,2025,6557000000.0
+Keurig Dr Pepper,2025,2092000000.0
+Marathon Petroleum,2025,10840000000.0
+"
+US,fundamental,"Among Nike, Martin Marietta Materials, Mondelez International, Netflix, HCA Healthcare, what is the gap in Free Cash Flow to Equity between the highest-ranked company and the runner-up in 2020? (Unit: $; Net Borrowing is approximated as the year-over-year change in (short-term debt + long-term debt)) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3965000000.0,hard,cash flow,CFO - Capex + Net Borrowing; Net Borrowing = delta(Short-Term Debt + Long-Term Debt),"corporate,year,NetCashFromOperatingActivities,CapitalExpenses,ShortTermDebt,LongTermDebt
+Nike,2019,5903000000.0,1119000000.0,9000000.0,3464000000.0
+Nike,2020,2485000000.0,1086000000.0,248000000.0,9406000000.0
+Martin Marietta Materials,2019,966100000.0,393500000.0,0.0,2433600000.0
+Martin Marietta Materials,2020,1050100000.0,359700000.0,0.0,2625800000.0
+Mondelez International,2019,3965000000.0,925000000.0,2638000000.0,14207000000.0
+Mondelez International,2020,3964000000.0,863000000.0,29000000.0,17276000000.0
+Netflix,2019,-2887322000.0,253035000.0,0.0,14759260000.0
+Netflix,2020,2427077000.0,497923000.0,499878000.0,15809095000.0
+HCA Healthcare,2019,7602000000.0,4158000000.0,0.0,33577000000.0
+HCA Healthcare,2020,9232000000.0,2835000000.0,0.0,30795000000.0
+","corporate,year,Free Cash Flow to Equity
+HCA Healthcare,2020,3615000000.0
+Martin Marietta Materials,2020,882600000.0
+Mondelez International,2020,3561000000.0
+Netflix,2020,3478867000.0
+Nike,2020,7580000000.0
+"
+US,fundamental,"In 2025, within Mondelez International, GE HealthCare, Ameriprise Financial, by how much does the company with the lowest Free Cash Flow to Equity differ from the second-ranked company? (Unit: $; Net Borrowing is approximated as the year-over-year change in (short-term debt + long-term debt)) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",4853000000.0,hard,cash flow,CFO - Capex + Net Borrowing; Net Borrowing = delta(Short-Term Debt + Long-Term Debt),"corporate,year,NetCashFromOperatingActivities,CapitalExpenses,ShortTermDebt,LongTermDebt
+Mondelez International,2024,4910000000.0,1387000000.0,71000000.0,15664000000.0
+Mondelez International,2025,4514000000.0,1279000000.0,2688000000.0,17222000000.0
+GE HealthCare,2024,1955000000.0,401000000.0,1502000000.0,7449000000.0
+GE HealthCare,2025,1987000000.0,482000000.0,508000000.0,9495000000.0
+Ameriprise Financial,2024,6595000000.0,176000000.0,0.0,8113000000.0
+Ameriprise Financial,2025,8323000000.0,162000000.0,0.0,8739000000.0
+","corporate,year,Free Cash Flow to Equity
+Ameriprise Financial,2025,8787000000.0
+GE HealthCare,2025,2557000000.0
+Mondelez International,2025,7410000000.0
+"
+US,fundamental,"For Free Cash Flow to Equity in 2020, what is the difference between the top and second-place companies among Cooper Companies (The), Cummins, Insulet Corporation? (Unit: $; Net Borrowing is approximated as the year-over-year change in (short-term debt + long-term debt)) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",32300000.0,hard,cash flow,CFO - Capex + Net Borrowing; Net Borrowing = delta(Short-Term Debt + Long-Term Debt),"corporate,year,NetCashFromOperatingActivities,CapitalExpenses,ShortTermDebt,LongTermDebt
+Cooper Companies (The),2019,713200000.0,292100000.0,563700000.0,1262600000.0
+Cooper Companies (The),2020,486600000.0,310400000.0,409300000.0,1383900000.0
+Cummins,2019,3181000000.0,700000000.0,660000000.0,1576000000.0
+Cummins,2020,2722000000.0,528000000.0,323000000.0,3610000000.0
+Insulet Corporation,2019,98400000.0,163700000.0,0.0,887900000.0
+Insulet Corporation,2020,84000000.0,129000000.0,0.0,1043700000.0
+","corporate,year,Free Cash Flow to Equity
+Cooper Companies (The),2020,143100000.0
+Cummins,2020,3891000000.0
+Insulet Corporation,2020,110800000.0
+"
+US,fundamental,"Among Starbucks, Sherwin-Williams, Vertex Pharmaceuticals, calculate the margin between the highest-Free Cash Flow to Equity company and the second-place company in 2020. (Unit: $; Net Borrowing is approximated as the year-over-year change in (short-term debt + long-term debt)) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1051427000.0,hard,cash flow,CFO - Capex + Net Borrowing; Net Borrowing = delta(Short-Term Debt + Long-Term Debt),"corporate,year,NetCashFromOperatingActivities,CapitalExpenses,ShortTermDebt,LongTermDebt
+Starbucks,2019,5047000000.0,1806600000.0,0.0,11167000000.0
+Starbucks,2020,1597800000.0,1483600000.0,438800000.0,14659600000.0
+Sherwin-Williams,2019,96600000.0,328900000.0,204700000.0,8050700000.0
+Sherwin-Williams,2020,133900000.0,303800000.0,100000.0,8266900000.0
+Vertex Pharmaceuticals,2019,1569330000.0,75451000.0,0.0,538576000.0
+Vertex Pharmaceuticals,2020,3253505000.0,259798000.0,0.0,539042000.0
+","corporate,year,Free Cash Flow to Equity
+Sherwin-Williams,2020,-158300000.0
+Starbucks,2020,4045600000.0
+Vertex Pharmaceuticals,2020,2994173000.0
+"
+US,fundamental,"Among CMS Energy, DuPont, Leidos, how much higher is the Operating Cash Flow Margin for the top company compared to the second place in 2018? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",17.2443,hard,cash flow,CFO / Revenue * 100%,"corporate,year,NetCashFromOperatingActivities,Revenue
+CMS Energy,2018,1703000000.0,6873000000.0
+DuPont,2018,4731000000.0,85977000000.0
+Leidos,2018,768000000.0,10194000000.0
+","corporate,year,Operating Cash Flow Margin
+CMS Energy,2018,24.778117270478685
+DuPont,2018,5.502634425485886
+Leidos,2018,7.533843437316068
+"
+US,fundamental,"Among NVR, Darden Restaurants, Advanced Micro Devices, what is the gap in Operating Cash Flow Margin between the highest-ranked company and the runner-up in 2025? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",39.3226,hard,cash flow,CFO / Revenue * 100%,"corporate,year,NetCashFromOperatingActivities,Revenue
+NVR,2025,5994849000.0,10323959000.0
+Darden Restaurants,2025,1707000000.0,12076700000.0
+Advanced Micro Devices,2025,6493000000.0,34639000000.0
+","corporate,year,Operating Cash Flow Margin
+Advanced Micro Devices,2025,18.74476745864488
+Darden Restaurants,2025,14.13465599046097
+NVR,2025,58.06734606365639
+"
+US,fundamental,"In 2021, within Chubb Limited, Coinbase, First Solar, HP Inc., by how much does the company with the lowest Operating Cash Flow Margin differ from the second-ranked company? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.9688,hard,cash flow,CFO / Revenue * 100%,"corporate,year,NetCashFromOperatingActivities,Revenue
+Chubb Limited,2021,11149000000.0,40963000000.0
+Coinbase,2021,10730031000.0,7839444000.0
+First Solar,2021,237559000.0,2923377000.0
+HP Inc.,2021,6409000000.0,63487000000.0
+","corporate,year,Operating Cash Flow Margin
+Chubb Limited,2021,27.217244830700878
+Coinbase,2021,136.87234706951156
+First Solar,2021,8.126184204089997
+HP Inc.,2021,10.094980074660954
+"
+US,fundamental,"For Operating Cash Flow Margin in 2020, what is the difference between the top and second-place companies among Quest Diagnostics, Steel Dynamics, Packaging Corporation of America? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",5.7345,hard,cash flow,CFO / Revenue * 100%,"corporate,year,NetCashFromOperatingActivities,Revenue
+Quest Diagnostics,2020,2005000000.0,9437000000.0
+Steel Dynamics,2020,987032000.0,9587691000.0
+Packaging Corporation of America,2020,1032800000.0,6658200000.0
+","corporate,year,Operating Cash Flow Margin
+Packaging Corporation of America,2020,15.511699858820702
+Quest Diagnostics,2020,21.246158736886724
+Steel Dynamics,2020,10.294783175636345
+"
+US,fundamental,"Among Fox Corporation (Class B), Lowe's, Regency Centers, Incyte, Veralto, calculate the margin between the highest-Operating Cash Flow Margin company and the second-place company in 2025. (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",25.785,hard,cash flow,CFO / Revenue * 100%,"corporate,year,NetCashFromOperatingActivities,Revenue
+Fox Corporation (Class B),2025,3324000000.0,16300000000.0
+Lowe's,2025,9864000000.0,86286000000.0
+Regency Centers,2025,827692000.0,1553524000.0
+Incyte,2025,1413498000.0,5141242000.0
+Veralto,2025,1077000000.0,5503000000.0
+","corporate,year,Operating Cash Flow Margin
+Fox Corporation (Class B),2025,20.392638036809814
+Incyte,2025,27.493317762517304
+Lowe's,2025,11.431750225992628
+Regency Centers,2025,53.27835295753397
+Veralto,2025,19.571143012902052
+"
+US,fundamental,"Among NiSource, Xylem Inc., KeyCorp, how much lower is the Capex Intensity for the top company compared to the second place in 2016? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",27.9617,hard,cash flow,Capex / Revenue * 100%,"corporate,year,CapitalExpenses,Revenue
+NiSource,2016,1475200000.0,4492500000.0
+Xylem Inc.,2016,124000000.0,3771000000.0
+KeyCorp,2016,145000000.0,464000000.0
+","corporate,year,Capex Intensity
+KeyCorp,2016,31.25
+NiSource,2016,32.836950473010575
+Xylem Inc.,2016,3.288252452930257
+"
+US,fundamental,"Among Diamondback Energy, West Pharmaceutical Services, Mondelez International, what is the gap in Capex Intensity between the highest-ranked company and the runner-up in 2018? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.8748,hard,cash flow,Capex / Revenue * 100%,"corporate,year,CapitalExpenses,Revenue
+Diamondback Energy,2018,6840000.0,2176256000.0
+West Pharmaceutical Services,2018,104700000.0,1717400000.0
+Mondelez International,2018,1095000000.0,25938000000.0
+","corporate,year,Capex Intensity
+Diamondback Energy,2018,0.31430125867544995
+Mondelez International,2018,4.2216053666435345
+West Pharmaceutical Services,2018,6.0964248282287175
+"
+US,fundamental,"In 2022, within Fidelity National Information Services, Amgen, Sherwin-Williams, Steel Dynamics, by how much does the company with the lowest Capex Intensity differ from the second-ranked company? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0651,hard,cash flow,Capex / Revenue * 100%,"corporate,year,CapitalExpenses,Revenue
+Fidelity National Information Services,2022,268000000.0,14528000000.0
+Amgen,2022,936000000.0,26323000000.0
+Sherwin-Williams,2022,644500000.0,22148900000.0
+Steel Dynamics,2022,908902000.0,21469251000.0
+","corporate,year,Capex Intensity
+Amgen,2022,3.5558257037571703
+Fidelity National Information Services,2022,1.8447136563876654
+Sherwin-Williams,2022,2.909851053551192
+Steel Dynamics,2022,4.233505863804936
+"
+US,fundamental,"For Capex Intensity in 2020, what is the difference between the top and second-place companies among Target Corporation, Align Technology, IBM, Alphabet Inc. (Class C), Howmet Aerospace? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.7248,hard,cash flow,Capex / Revenue * 100%,"corporate,year,CapitalExpenses,Revenue
+Target Corporation,2020,2649000000.0,93561000000.0
+Align Technology,2020,154916000.0,2471941000.0
+IBM,2020,2618000000.0,73620000000.0
+Alphabet Inc. (Class C),2020,22281000000.0,182527000000.0
+Howmet Aerospace,2020,267000000.0,5259000000.0
+","corporate,year,Capex Intensity
+Align Technology,2020,6.266978054896942
+Alphabet Inc. (Class C),2020,12.206961161910293
+Howmet Aerospace,2020,5.077010838562464
+IBM,2020,3.5560988861722356
+Target Corporation,2020,2.8313079167601884
+"
+US,fundamental,"Among CenterPoint Energy, A. O. Smith, Oneok, ON Semiconductor, calculate the margin between the lowest-Capex Intensity company and the second-place company in 2021. (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0909,hard,cash flow,Capex / Revenue * 100%,"corporate,year,CapitalExpenses,Revenue
+CenterPoint Energy,2021,3164000000.0,8352000000.0
+A. O. Smith,2021,75100000.0,3538900000.0
+Oneok,2021,696854000.0,16540309000.0
+ON Semiconductor,2021,444600000.0,6739800000.0
+","corporate,year,Capex Intensity
+A. O. Smith,2021,2.1221283449659496
+CenterPoint Energy,2021,37.883141762452105
+ON Semiconductor,2021,6.596634914982641
+Oneok,2021,4.2130651851788254
+"
+US,fundamental,"Among Blackstone Inc., Ameriprise Financial, Comcast, how much lower is the Cash Flow to Net Income for the top company compared to the second place in 2024? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.4551,hard,cash flow,CFO / Net Income,"corporate,year,NetCashFromOperatingActivities,NetIncome
+Blackstone Inc.,2024,3481662000.0,2776508000.0
+Ameriprise Financial,2024,6595000000.0,3401000000.0
+Comcast,2024,27673000000.0,16192000000.0
+","corporate,year,Cash Flow to Net Income
+Ameriprise Financial,2024,1.939135548368127
+Blackstone Inc.,2024,1.2539715354682932
+Comcast,2024,1.7090538537549407
+"
+US,fundamental,"Among IBM, Constellation Brands, Citigroup, what is the gap in Cash Flow to Net Income between the lowest-ranked company and the runner-up in 2025? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",6.9732,hard,cash flow,CFO / Net Income,"corporate,year,NetCashFromOperatingActivities,NetIncome
+IBM,2025,13193000000.0,10593000000.0
+Constellation Brands,2025,2669000000.0,1686700000.0
+Citigroup,2025,-81941000000.0,14306000000.0
+","corporate,year,Cash Flow to Net Income
+Citigroup,2025,-5.7277366140081085
+Constellation Brands,2025,1.5823797948657141
+IBM,2025,1.2454451052581894
+"
+US,fundamental,"In 2020, within Masco, Baxter International, Verisk Analytics, Home Depot (The), by how much does the company with the lowest Cash Flow to Net Income differ from the second-ranked company? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.6857,hard,cash flow,CFO / Net Income,"corporate,year,NetCashFromOperatingActivities,NetIncome
+Masco,2020,953000000.0,1224000000.0
+Baxter International,2020,1868000000.0,1102000000.0
+Verisk Analytics,2020,1068200000.0,712700000.0
+Home Depot (The),2020,18839000000.0,12866000000.0
+","corporate,year,Cash Flow to Net Income
+Baxter International,2020,1.6950998185117967
+Home Depot (The),2020,1.4642468521685061
+Masco,2020,0.7785947712418301
+Verisk Analytics,2020,1.4988073523221552
+"
+US,fundamental,"For Cash Flow to Net Income in 2023, what is the difference between the top and second-place companies among Cooper Companies (The), Global Payments, Tapestry, Air Products, O’Reilly Automotive? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.2152,hard,cash flow,CFO / Net Income,"corporate,year,NetCashFromOperatingActivities,NetIncome
+Cooper Companies (The),2023,607500000.0,294200000.0
+Global Payments,2023,2248741000.0,986233000.0
+Tapestry,2023,975200000.0,936000000.0
+Air Products,2023,3205700000.0,2300200000.0
+O’Reilly Automotive,2023,3034084000.0,2346581000.0
+","corporate,year,Cash Flow to Net Income
+Air Products,2023,1.393661420746022
+Cooper Companies (The),2023,2.064921821889871
+Global Payments,2023,2.2801315713426744
+O’Reilly Automotive,2023,1.2929807238701754
+Tapestry,2023,1.041880341880342
+"
+US,fundamental,"Among O’Reilly Automotive, D. R. Horton, Automatic Data Processing, Snap-on, calculate the margin between the highest-Cash Flow to Net Income company and the second-place company in 2021. According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.2912,hard,cash flow,CFO / Net Income,"corporate,year,NetCashFromOperatingActivities,NetIncome
+O’Reilly Automotive,2021,3207310000.0,2164685000.0
+D. R. Horton,2021,534400000.0,4175800000.0
+Automatic Data Processing,2021,3093300000.0,2598500000.0
+Snap-on,2021,966600000.0,820500000.0
+","corporate,year,Cash Flow to Net Income
+Automatic Data Processing,2021,1.1904175485857225
+D. R. Horton,2021,0.12797547775276594
+O’Reilly Automotive,2021,1.4816520648500822
+Snap-on,2021,1.1780621572212067
+"
+US,fundamental,"Among Kenvue, Illinois Tool Works, American Electric Power, Marsh McLennan, how much higher is the Cash Flow to Debt for the top company compared to the second place in 2025? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.1635,hard,cash flow,CFO / Total Debt; Total Debt = Short-Term Debt + Long-Term Debt,"corporate,year,NetCashFromOperatingActivities,ShortTermDebt,LongTermDebt
+Kenvue,2025,2197000000.0,1453000000.0,0.0
+Illinois Tool Works,2025,3126000000.0,2286000000.0,6683000000.0
+American Electric Power,2025,6944000000.0,1508000000.0,44128000000.0
+Marsh McLennan,2025,5292000000.0,1267000000.0,18320000000.0
+","corporate,year,Cash Flow to Debt
+American Electric Power,2025,0.15216057498466123
+Illinois Tool Works,2025,0.34853383877801314
+Kenvue,2025,1.5120440467997247
+Marsh McLennan,2025,0.270179200490121
+"
+US,fundamental,"Among Mosaic Company (The), Lennox International, Accenture, what is the gap in Cash Flow to Debt between the highest-ranked company and the runner-up in 2024? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",7.7744,hard,cash flow,CFO / Total Debt; Total Debt = Short-Term Debt + Long-Term Debt,"corporate,year,NetCashFromOperatingActivities,ShortTermDebt,LongTermDebt
+Mosaic Company (The),2024,1299200000.0,402300000.0,3332300000.0
+Lennox International,2024,945700000.0,0.0,833100000.0
+Accenture,2024,9131027000.0,946229000.0,78628000.0
+","corporate,year,Cash Flow to Debt
+Accenture,2024,8.909562016944802
+Lennox International,2024,1.135157844196375
+Mosaic Company (The),2024,0.3478819686177904
+"
+US,fundamental,"In 2025, within Alexandria Real Estate Equities, Mondelez International, Principal Financial Group, Automatic Data Processing, by how much does the company with the highest Cash Flow to Debt differ from the second-ranked company? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.5825,hard,cash flow,CFO / Total Debt; Total Debt = Short-Term Debt + Long-Term Debt,"corporate,year,NetCashFromOperatingActivities,ShortTermDebt,LongTermDebt
+Alexandria Real Estate Equities,2025,1414046000.0,0.0,12047394000.0
+Mondelez International,2025,4514000000.0,2688000000.0,17222000000.0
+Principal Financial Group,2025,4536700000.0,27700000.0,3926300000.0
+Automatic Data Processing,2025,4939700000.0,4769500000.0,3974700000.0
+","corporate,year,Cash Flow to Debt
+Alexandria Real Estate Equities,2025,0.11737359963490859
+Automatic Data Processing,2025,0.5649115985453215
+Mondelez International,2025,0.22672024108488198
+Principal Financial Group,2025,1.1473697521497217
+"
+US,fundamental,"For Cash Flow to Debt in 2025, what is the difference between the top and second-place companies among Workday, Illinois Tool Works, Nasdaq Inc., Extra Space Storage, Datadog? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0839,hard,cash flow,CFO / Total Debt; Total Debt = Short-Term Debt + Long-Term Debt,"corporate,year,NetCashFromOperatingActivities,ShortTermDebt,LongTermDebt
+Workday,2025,2939000000.0,0.0,2987000000.0
+Illinois Tool Works,2025,3126000000.0,2286000000.0,6683000000.0
+Nasdaq Inc.,2025,2255000000.0,431000000.0,8573000000.0
+Extra Space Storage,2025,1850193000.0,1079565000.0,9432427000.0
+Datadog,2025,1050135000.0,0.0,983449000.0
+","corporate,year,Cash Flow to Debt
+Datadog,2025,1.0678082950920689
+Extra Space Storage,2025,0.17600783942757947
+Illinois Tool Works,2025,0.34853383877801314
+Nasdaq Inc.,2025,0.2504442470013327
+Workday,2025,0.98393036491463
+"
+US,fundamental,"Among Pool Corporation, PNC Financial Services, PulteGroup, Healthpeak Properties, calculate the margin between the lowest-Cash Flow to Debt company and the second-place company in 2025. According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.1081,hard,cash flow,CFO / Total Debt; Total Debt = Short-Term Debt + Long-Term Debt,"corporate,year,NetCashFromOperatingActivities,ShortTermDebt,LongTermDebt
+Pool Corporation,2025,365850000.0,13029000.0,1186424000.0
+PNC Financial Services,2025,4384000000.0,0.0,57101000000.0
+PulteGroup,2025,1871249000.0,0.0,1631098000.0
+Healthpeak Properties,2025,1251959000.0,0.0,6772722000.0
+","corporate,year,Cash Flow to Debt
+Healthpeak Properties,2025,0.18485315062392935
+PNC Financial Services,2025,0.07677623859477067
+Pool Corporation,2025,0.3050140355645448
+PulteGroup,2025,1.1472327229878279
+"
+US,fundamental,"Among Duke Energy, Progressive Corporation, Fifth Third Bancorp, how much higher is the Earnings Per Share Basic for the top company compared to the second place in 2021? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.7428,hard,per share,(Net Income - Preferred Dividends) / Weighted-Average Basic Shares,"corporate,year,NetIncome,SharesAverage,PreferredDividendExpense
+Duke Energy,2021,3908000000.0,769000000.0,106000000.0
+Progressive Corporation,2021,3350900000.0,584500000.0,26900000.0
+Fifth Third Bancorp,2021,2770000000.0,702188552.0,111000000.0
+","corporate,year,Earnings Per Share Basic
+Duke Energy,2021,4.94408322496749
+Fifth Third Bancorp,2021,3.786732199530362
+Progressive Corporation,2021,5.686911890504705
+"
+US,fundamental,"Among American International Group, Goldman Sachs, Huntington Bancshares, what is the gap in Earnings Per Share Basic between the lowest-ranked company and the runner-up in 2022? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",11.6861,hard,per share,(Net Income - Preferred Dividends) / Weighted-Average Basic Shares,"corporate,year,NetIncome,SharesAverage,PreferredDividendExpense
+American International Group,2022,10276000000.0,778621118.0,29000000.0
+Goldman Sachs,2022,11261000000.0,352100000.0,497000000.0
+Huntington Bancshares,2022,2238000000.0,1441279000.0,113000000.0
+","corporate,year,Earnings Per Share Basic
+American International Group,2022,13.160444487199229
+Goldman Sachs,2022,30.570860550979834
+Huntington Bancshares,2022,1.474384903963771
+"
+US,fundamental,"In 2019, within Williams Companies, Huntington Bancshares, Wells Fargo, by how much does the company with the lowest Earnings Per Share Basic differ from the second-ranked company? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.5882,hard,per share,(Net Income - Preferred Dividends) / Weighted-Average Basic Shares,"corporate,year,NetIncome,SharesAverage,PreferredDividendExpense
+Williams Companies,2019,850000000.0,1212037000.0,3000000.0
+Huntington Bancshares,2019,1411000000.0,1038840000.0,74000000.0
+Wells Fargo,2019,19549000000.0,4393100000.0,1611000000.0
+","corporate,year,Earnings Per Share Basic
+Huntington Bancshares,2019,1.2870124369489044
+Wells Fargo,2019,4.083221415401425
+Williams Companies,2019,0.6988235507661895
+"
+US,fundamental,"For Earnings Per Share Basic in 2023, what is the difference between the top and second-place companies among Charles Schwab Corporation, Morgan Stanley, Raymond James Financial? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.9427,hard,per share,(Net Income - Preferred Dividends) / Weighted-Average Basic Shares,"corporate,year,NetIncome,SharesAverage,PreferredDividendExpense
+Charles Schwab Corporation,2023,5067000000.0,1824000000.0,418000000.0
+Morgan Stanley,2023,9087000000.0,1628000000.0,557000000.0
+Raymond James Financial,2023,1739000000.0,211800000.0,6000000.0
+","corporate,year,Earnings Per Share Basic
+Charles Schwab Corporation,2023,2.548793859649123
+Morgan Stanley,2023,5.23955773955774
+Raymond James Financial,2023,8.182247403210576
+"
+US,fundamental,"Among Prologis, Allstate, Targa Resources, Wells Fargo, calculate the margin between the highest-Earnings Per Share Basic company and the second-place company in 2017. According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",4.3488,hard,per share,(Net Income - Preferred Dividends) / Weighted-Average Basic Shares,"corporate,year,NetIncome,SharesAverage,PreferredDividendExpense
+Prologis,2017,1652325000.0,530400000.0,6499000.0
+Allstate,2017,3189000000.0,362000000.0,116000000.0
+Targa Resources,2017,54000000.0,206900000.0,91700000.0
+Wells Fargo,2017,22183000000.0,4964600000.0,1629000000.0
+","corporate,year,Earnings Per Share Basic
+Allstate,2017,8.488950276243093
+Prologis,2017,3.1029901960784314
+Targa Resources,2017,-0.18221362977283712
+Wells Fargo,2017,4.140111992909802
+"
+US,fundamental,"Among Raymond James Financial, Oneok, Wells Fargo, how much higher is the Earnings Per Share Diluted for the top company compared to the second place in 2024? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",4.3517,hard,per share,(Net Income - Preferred Dividends) / Weighted-Average Diluted Shares,"corporate,year,NetIncome,SharesFullyDilutedAverage,PreferredDividendExpense
+Raymond James Financial,2024,2068000000.0,212300000.0,5000000.0
+Oneok,2024,3035000000.0,586500000.0,1000000.0
+Wells Fargo,2024,19722000000.0,3467600000.0,1116000000.0
+","corporate,year,Earnings Per Share Diluted
+Oneok,2024,5.17306052855925
+Raymond James Financial,2024,9.717381064531324
+Wells Fargo,2024,5.365670780943592
+"
+US,fundamental,"Among Wells Fargo, Goldman Sachs, Huntington Bancshares, what is the gap in Earnings Per Share Diluted between the highest-ranked company and the runner-up in 2025? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",45.0661,hard,per share,(Net Income - Preferred Dividends) / Weighted-Average Diluted Shares,"corporate,year,NetIncome,SharesFullyDilutedAverage,PreferredDividendExpense
+Wells Fargo,2025,21338000000.0,3242300000.0,1053000000.0
+Goldman Sachs,2025,17176000000.0,317600000.0,876000000.0
+Huntington Bancshares,2025,2211000000.0,1504836000.0,124000000.0
+","corporate,year,Earnings Per Share Diluted
+Goldman Sachs,2025,51.322418136020154
+Huntington Bancshares,2025,1.3868620899553175
+Wells Fargo,2025,6.2563612250562874
+"
+US,fundamental,"In 2024, within Charles Schwab Corporation, Ameren, Morgan Stanley, by how much does the company with the lowest Earnings Per Share Diluted differ from the second-ranked company? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.4222,hard,per share,(Net Income - Preferred Dividends) / Weighted-Average Diluted Shares,"corporate,year,NetIncome,SharesFullyDilutedAverage,PreferredDividendExpense
+Charles Schwab Corporation,2024,5942000000.0,1834000000.0,464000000.0
+Ameren,2024,1184000000.0,267400000.0,5000000.0
+Morgan Stanley,2024,13390000000.0,1611000000.0,590000000.0
+","corporate,year,Earnings Per Share Diluted
+Ameren,2024,4.409124906507105
+Charles Schwab Corporation,2024,2.9869138495092695
+Morgan Stanley,2024,7.945375543140906
+"
+US,fundamental,"For Earnings Per Share Diluted in 2017, what is the difference between the top and second-place companies among Targa Resources, Southern Company, Alliant Energy? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.9661,hard,per share,(Net Income - Preferred Dividends) / Weighted-Average Diluted Shares,"corporate,year,NetIncome,SharesFullyDilutedAverage,PreferredDividendExpense
+Targa Resources,2017,54000000.0,206900000.0,91700000.0
+Southern Company,2017,1071000000.0,1008000000.0,38000000.0
+Alliant Energy,2017,467500000.0,229700000.0,10200000.0
+","corporate,year,Earnings Per Share Diluted
+Alliant Energy,2017,1.9908576404005225
+Southern Company,2017,1.0248015873015872
+Targa Resources,2017,-0.18221362977283712
+"
+US,fundamental,"Among Oneok, Alliant Energy, Huntington Bancshares, Allstate, calculate the margin between the lowest-Earnings Per Share Diluted company and the second-place company in 2020. According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.7224,hard,per share,(Net Income - Preferred Dividends) / Weighted-Average Diluted Shares,"corporate,year,NetIncome,SharesFullyDilutedAverage,PreferredDividendExpense
+Oneok,2020,612809000.0,431782000.0,1100000.0
+Alliant Energy,2020,624000000.0,248700000.0,10000000.0
+Huntington Bancshares,2020,817000000.0,1032683000.0,100000000.0
+Allstate,2020,5576000000.0,315500000.0,115000000.0
+","corporate,year,Earnings Per Share Diluted
+Alliant Energy,2020,2.4688379573783674
+Allstate,2020,17.30903328050713
+Huntington Bancshares,2020,0.6943079337996267
+Oneok,2020,1.416707968372929
+"
+US,fundamental,"Among Biogen, Jabil, Raymond James Financial, how much lower is the Operating Cash Flow Per Share for the top company compared to the second place in 2020? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",17.9957,hard,per share,CFO / Weighted-Average Basic Shares,"corporate,year,NetCashFromOperatingActivities,SharesAverage
+Biogen,2020,4229800000.0,160900000.0
+Jabil,2020,1257275000.0,151613000.0
+Raymond James Financial,2020,4054000000.0,137600000.0
+","corporate,year,Operating Cash Flow Per Share
+Biogen,2020,26.288377874456184
+Jabil,2020,8.292659600430042
+Raymond James Financial,2020,29.462209302325583
+"
+US,fundamental,"Among PTC Inc., Arch Capital Group, Gen Digital, what is the gap in Operating Cash Flow Per Share between the lowest-ranked company and the runner-up in 2023? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.9217,hard,per share,CFO / Weighted-Average Basic Shares,"corporate,year,NetCashFromOperatingActivities,SharesAverage
+PTC Inc.,2023,610861000.0,118341000.0
+Arch Capital Group,2023,5749000000.0,368700000.0
+Gen Digital,2023,2064000000.0,637000000.0
+","corporate,year,Operating Cash Flow Per Share
+Arch Capital Group,2023,15.59262272850556
+Gen Digital,2023,3.240188383045526
+PTC Inc.,2023,5.1618712027108105
+"
+US,fundamental,"In 2022, within Erie Indemnity, T-Mobile US, Welltower, Vistra Corp., Coca-Cola Company (The), by how much does the company with the lowest Operating Cash Flow Per Share differ from the second-ranked company? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.3977,hard,per share,CFO / Weighted-Average Basic Shares,"corporate,year,NetCashFromOperatingActivities,SharesAverage
+Erie Indemnity,2022,366152000.0,46191458.0
+T-Mobile US,2022,16781000000.0,1249763934.0
+Welltower,2022,1328708000.0,462185000.0
+Vistra Corp.,2022,485000000.0,422447074.0
+Coca-Cola Company (The),2022,11018000000.0,4328000000.0
+","corporate,year,Operating Cash Flow Per Share
+Coca-Cola Company (The),2022,2.5457486136783736
+Erie Indemnity,2022,7.926833571696308
+T-Mobile US,2022,13.427335789960475
+Vistra Corp.,2022,1.1480728116014836
+Welltower,2022,2.8748401614072288
+"
+US,fundamental,"For Operating Cash Flow Per Share in 2019, what is the difference between the top and second-place companies among Quanta Services, Loews Corporation, Ameren? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.6996,hard,per share,CFO / Weighted-Average Basic Shares,"corporate,year,NetCashFromOperatingActivities,SharesAverage
+Quanta Services,2019,526551000.0,145710000.0
+Loews Corporation,2019,-26000000.0,302700000.0
+Ameren,2019,2170000000.0,245600000.0
+","corporate,year,Operating Cash Flow Per Share
+Ameren,2019,8.835504885993485
+Loews Corporation,2019,-0.08589362405021474
+Quanta Services,2019,3.613691579164093
+"
+US,fundamental,"Among Schlumberger, J.B. Hunt, Boston Scientific, calculate the margin between the highest-Operating Cash Flow Per Share company and the second-place company in 2016. According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.9803,hard,per share,CFO / Weighted-Average Basic Shares,"corporate,year,NetCashFromOperatingActivities,SharesAverage
+Schlumberger,2016,6261000000.0,1357000000.0
+J.B. Hunt,2016,854143000.0,112474000.0
+Boston Scientific,2016,972000000.0,1357600000.0
+","corporate,year,Operating Cash Flow Per Share
+Boston Scientific,2016,0.7159693576900412
+J.B. Hunt,2016,7.594137311734268
+Schlumberger,2016,4.6138540899042
+"
+US,fundamental,"Among Rockwell Automation, Old Dominion, Alphabet Inc. (Class C), Berkshire Hathaway, how much lower is the Equity Multiplier for the top company compared to the second place in 2021? (Use the average of beginning and ending values) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.1199,hard,solvency,Average Total Assets / Average Stockholders Equity,"corporate,year,Assets,AllEquityBalance
+Rockwell Automation,2020,7264700000.0,1027800000.0
+Rockwell Automation,2021,10701600000.0,2389600000.0
+Old Dominion,2020,4369410000.0,3326288000.0
+Old Dominion,2021,4821544000.0,3679807000.0
+Alphabet Inc. (Class C),2020,319616000000.0,222544000000.0
+Alphabet Inc. (Class C),2021,359268000000.0,251635000000.0
+Berkshire Hathaway,2020,873729000000.0,443164000000.0
+Berkshire Hathaway,2021,958784000000.0,506199000000.0
+","corporate,year,Equity Multiplier
+Alphabet Inc. (Class C),2021,1.4317040611245964
+Berkshire Hathaway,2021,1.930255339632996
+Old Dominion,2021,1.3118511810073943
+Rockwell Automation,2021,5.257300872007959
+"
+US,fundamental,"Among KeyCorp, Linde plc, Hormel Foods, what is the gap in Equity Multiplier between the lowest-ranked company and the runner-up in 2025? (Use the average of beginning and ending values) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.4993,hard,solvency,Average Total Assets / Average Stockholders Equity,"corporate,year,Assets,AllEquityBalance
+KeyCorp,2024,187168000000.0,18176000000.0
+KeyCorp,2025,184381000000.0,20381000000.0
+Linde plc,2024,80147000000.0,38092000000.0
+Linde plc,2025,86817000000.0,38245000000.0
+Hormel Foods,2024,13434729000.0,7993420000.0
+Hormel Foods,2025,13393119000.0,7901171000.0
+","corporate,year,Equity Multiplier
+Hormel Foods,2025,1.6878602286777935
+KeyCorp,2025,9.636356563010608
+Linde plc,2025,2.1871962482151512
+"
+US,fundamental,"In 2025, within Ares Management, Corning Inc., Packaging Corporation of America, Universal Health Services, Vertex Pharmaceuticals, by how much does the company with the highest Equity Multiplier differ from the second-ranked company? (Use the average of beginning and ending values) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",4.2343,hard,solvency,Average Total Assets / Average Stockholders Equity,"corporate,year,Assets,AllEquityBalance
+Ares Management,2024,24884308000.0,3543646000.0
+Ares Management,2025,28633369000.0,4275463000.0
+Corning Inc.,2024,27735000000.0,10686000000.0
+Corning Inc.,2025,30976000000.0,11807000000.0
+Packaging Corporation of America,2024,8833200000.0,4404000000.0
+Packaging Corporation of America,2025,10725500000.0,4598000000.0
+Universal Health Services,2024,14469749000.0,6666207000.0
+Universal Health Services,2025,15527593000.0,7275792000.0
+Vertex Pharmaceuticals,2024,22533200000.0,16409600000.0
+Vertex Pharmaceuticals,2025,25643000000.0,18665800000.0
+","corporate,year,Equity Multiplier
+Ares Management,2025,6.84447256074829
+Corning Inc.,2025,2.6101898368381273
+Packaging Corporation of America,2025,2.172706065318818
+Universal Health Services,2025,2.15158113266254
+Vertex Pharmaceuticals,2025,1.3735039372323623
+"
+US,fundamental,"For Equity Multiplier in 2019, what is the difference between the top and second-place companies among Regions Financial Corporation, Walmart, Charter Communications? (Use the average of beginning and ending values) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.6816,hard,solvency,Average Total Assets / Average Stockholders Equity,"corporate,year,Assets,AllEquityBalance
+Regions Financial Corporation,2018,125688000000.0,15090000000.0
+Regions Financial Corporation,2019,126240000000.0,16295000000.0
+Walmart,2018,219295000000.0,72496000000.0
+Walmart,2019,236495000000.0,74669000000.0
+Charter Communications,2018,146130000000.0,36285000000.0
+Charter Communications,2019,148188000000.0,31445000000.0
+","corporate,year,Equity Multiplier
+Charter Communications,2019,4.345459914365865
+Regions Financial Corporation,2019,8.02701927672455
+Walmart,2019,3.097135867903374
+"
+US,fundamental,"Among Ross Stores, Norfolk Southern, eBay Inc., calculate the margin between the highest-Equity Multiplier company and the second-place company in 2020. (Use the average of beginning and ending values) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.5104,hard,solvency,Average Total Assets / Average Stockholders Equity,"corporate,year,Assets,AllEquityBalance
+Ross Stores,2019,9348367000.0,3359249000.0
+Ross Stores,2020,12717867000.0,3290640000.0
+Norfolk Southern,2019,37923000000.0,15184000000.0
+Norfolk Southern,2020,37962000000.0,14791000000.0
+eBay Inc.,2019,18174000000.0,2870000000.0
+eBay Inc.,2020,19310000000.0,3561000000.0
+","corporate,year,Equity Multiplier
+Norfolk Southern,2020,2.5316096747289407
+Ross Stores,2020,3.3182860646245373
+eBay Inc.,2020,5.828642512828487
+"
+US,fundamental,"Among Waters Corporation, Marsh McLennan, Linde plc, how much higher is the EBITDA for the top company compared to the second place in 2022? (Unit: $; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",4647000000.0,hard,valuation,EBITDA = EBIT + D&A = Pretax Income + Interest Expense + D&A,"corporate,year,PretaxIncomeLoss,InterestExpense,DepreciationExpense,AmortizationOfIntangibles
+Waters Corporation,2022,837846000.0,48797000.0,71998000.0,0.0
+Marsh McLennan,2022,4082000000.0,469000000.0,381000000.0,338000000.0
+Linde plc,2022,5543000000.0,170000000.0,4204000000.0,0.0
+","corporate,year,EBITDA
+Linde plc,2022,9917000000.0
+Marsh McLennan,2022,5270000000.0
+Waters Corporation,2022,958641000.0
+"
+US,fundamental,"Among Supermicro, Applied Materials, Fastenal, what is the gap in EBITDA between the highest-ranked company and the runner-up in 2025? (Unit: $; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",8134600000.0,hard,valuation,EBITDA = EBIT + D&A = Pretax Income + Interest Expense + D&A,"corporate,year,PretaxIncomeLoss,InterestExpense,DepreciationExpense,AmortizationOfIntangibles
+Supermicro,2025,1211916000.0,30251000.0,0.0,0.0
+Applied Materials,2025,9271000000.0,269000000.0,435000000.0,0.0
+Fastenal,2025,1655000000.0,6200000.0,168500000.0,10700000.0
+","corporate,year,EBITDA
+Applied Materials,2025,9975000000.0
+Fastenal,2025,1840400000.0
+Supermicro,2025,1242167000.0
+"
+US,fundamental,"In 2023, within NextEra Energy, Alphabet Inc. (Class C), T-Mobile US, by how much does the company with the lowest EBITDA differ from the second-ranked company? (Unit: $; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",11522000000.0,hard,valuation,EBITDA = EBIT + D&A = Pretax Income + Interest Expense + D&A,"corporate,year,PretaxIncomeLoss,InterestExpense,Depreciation & Amortization
+NextEra Energy,2023,7288000000.0,2463000000.0,5879000000.0
+Alphabet Inc. (Class C),2023,85717000000.0,0.0,11946000000.0
+T-Mobile US,2023,10999000000.0,3335000000.0,12818000000.0
+","corporate,year,EBITDA
+Alphabet Inc. (Class C),2023,97663000000.0
+NextEra Energy,2023,15630000000.0
+T-Mobile US,2023,27152000000.0
+"
+US,fundamental,"For EBITDA in 2021, what is the difference between the top and second-place companies among Duke Energy, Snap-on, United Rentals, FirstEnergy, Equinix? (Unit: $; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1446881000.0,hard,valuation,EBITDA = EBIT + D&A = Pretax Income + Interest Expense + D&A,"corporate,year,PretaxIncomeLoss,InterestExpense,DepreciationExpense,AmortizationOfIntangibles
+Duke Energy,2021,3764000000.0,2280000000.0,5663000000.0,0.0
+Snap-on,2021,1086900000.0,53100000.0,75600000.0,29200000.0
+United Rentals,2021,1846000000.0,424000000.0,1611000000.0,0.0
+FirstEnergy,2021,1559000000.0,1141000000.0,1601000000.0,0.0
+Equinix,2021,608952000.0,426439000.0,1450806000.0,205484000.0
+","corporate,year,EBITDA
+Duke Energy,2021,11707000000.0
+Equinix,2021,2691681000.0
+FirstEnergy,2021,4301000000.0
+Snap-on,2021,1244800000.0
+United Rentals,2021,3881000000.0
+"
+US,fundamental,"Among Paycom, Hubbell Incorporated, Apple Inc., NextEra Energy, calculate the margin between the highest-EBITDA company and the second-place company in 2023. (Unit: $; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",113428000000.0,hard,valuation,EBITDA = EBIT + D&A = Pretax Income + Interest Expense + D&A,"corporate,year,PretaxIncomeLoss,InterestExpense,Depreciation & Amortization
+Paycom,2023,472399000.0,1927000.0,113948000.0
+Hubbell Incorporated,2023,983300000.0,0.0,149700000.0
+Apple Inc.,2023,113736000000.0,3803000000.0,11519000000.0
+NextEra Energy,2023,7288000000.0,2463000000.0,5879000000.0
+","corporate,year,EBITDA
+Apple Inc.,2023,129058000000.0
+Hubbell Incorporated,2023,1133000000.0
+NextEra Energy,2023,15630000000.0
+Paycom,2023,588274000.0
+"
+US,fundamental,"Among State Street Corporation, Textron, International Flavors & Fragrances, how much higher is the NOPAT for the top company compared to the second place in 2017? (Unit: $; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2094221254.4759,hard,valuation,NOPAT = EBIT x (1 - effective tax rate); EBIT = Pretax Income + Interest Expense; effective tax rate = Income Taxes / Pretax Income,"corporate,year,PretaxIncomeLoss,InterestExpense,IncomeTaxes
+State Street Corporation,2017,2899000000.0,604000000.0,722000000.0
+Textron,2017,762000000.0,174000000.0,456000000.0
+International Flavors & Fragrances,2017,537045000.0,65363000.0,58889000.0
+","corporate,year,NOPAT
+International Flavors & Fragrances,2017,536351701.7158711
+State Street Corporation,2017,2630572956.19179
+Textron,2017,375874015.74803144
+"
+US,fundamental,"Among DTE Energy, Interactive Brokers, Walmart, what is the gap in NOPAT between the lowest-ranked company and the runner-up in 2018? (Unit: $; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",89306872.6897,hard,valuation,NOPAT = EBIT x (1 - effective tax rate); EBIT = Pretax Income + Interest Expense; effective tax rate = Income Taxes / Pretax Income,"corporate,year,PretaxIncomeLoss,InterestExpense,IncomeTaxes
+DTE Energy,2018,1216000000.0,559000000.0,98000000.0
+Interactive Brokers,2018,1196000000.0,444000000.0,71000000.0
+Walmart,2018,11460000000.0,2348000000.0,4281000000.0
+","corporate,year,NOPAT
+DTE Energy,2018,1631949013.1578948
+Interactive Brokers,2018,1542642140.4682274
+Walmart,2018,8649880628.272251
+"
+US,fundamental,"In 2025, within Nucor, J.B. Hunt, Brown–Forman, by how much does the company with the highest NOPAT differ from the second-ranked company? (Unit: $; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1117749203.1723,hard,valuation,NOPAT = EBIT x (1 - effective tax rate); EBIT = Pretax Income + Interest Expense; effective tax rate = Income Taxes / Pretax Income,"corporate,year,PretaxIncomeLoss,InterestExpense,IncomeTaxes
+Nucor,2025,2568000000.0,59000000.0,530000000.0
+J.B. Hunt,2025,794112000.0,66561000.0,195830000.0
+Brown–Forman,2025,1081000000.0,122000000.0,212000000.0
+","corporate,year,NOPAT
+Brown–Forman,2025,967074005.5504164
+J.B. Hunt,2025,648428891.3730054
+Nucor,2025,2084823208.7227414
+"
+US,fundamental,"For NOPAT in 2022, what is the difference between the top and second-place companies among Cboe Global Markets, Dominion Energy, Clorox, Linde plc, Emcor? (Unit: $; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2346401972.0466,hard,valuation,NOPAT = EBIT x (1 - effective tax rate); EBIT = Pretax Income + Interest Expense; effective tax rate = Income Taxes / Pretax Income,"corporate,year,PretaxIncomeLoss,InterestExpense,IncomeTaxes
+Cboe Global Markets,2022,432900000.0,51000000.0,197900000.0
+Dominion Energy,2022,1053000000.0,966000000.0,68000000.0
+Clorox,2022,607000000.0,106000000.0,100000000.0
+Linde plc,2022,5543000000.0,170000000.0,1434000000.0
+Emcor,2022,558750000.0,13199000.0,152628000.0
+","corporate,year,NOPAT
+Cboe Global Markets,2022,262685377.68537766
+Clorox,2022,595537067.5453048
+Dominion Energy,2022,1888618233.6182337
+Emcor,2022,415715564.7033557
+Linde plc,2022,4235020205.6648026
+"
+US,fundamental,"Among Tapestry, Monster Beverage, O’Reilly Automotive, AES Corporation, calculate the margin between the highest-NOPAT company and the second-place company in 2024. (Unit: $; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1032894268.384,hard,valuation,NOPAT = EBIT x (1 - effective tax rate); EBIT = Pretax Income + Interest Expense; effective tax rate = Income Taxes / Pretax Income,"corporate,year,PretaxIncomeLoss,InterestExpense,IncomeTaxes
+Tapestry,2024,1011900000.0,262800000.0,195900000.0
+Monster Beverage,2024,1989459000.0,25270000.0,480411000.0
+O’Reilly Automotive,2024,3045064000.0,222548000.0,658384000.0
+AES Corporation,2024,894000000.0,1485000000.0,345000000.0
+","corporate,year,NOPAT
+AES Corporation,2024,1460929530.201342
+Monster Beverage,2024,1528215845.6102889
+O’Reilly Automotive,2024,2561110113.99432
+Tapestry,2024,1027922917.2843167
+"
+US,fundamental,"Calculate the Gross Margin of Yum! Brands from 2022 to 2024 and make a year-over-year comparison. How many times was there a YoY decrease? (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,profitability,(Revenue - COGS) / Revenue * 100%,"year,Revenue,CostOfGoodsAndServicesSold
+2022,6842000000.0,1745000000.0
+2023,7076000000.0,1774000000.0
+2024,7549000000.0,2120000000.0
+","year,Gross Margin
+2022,74.49576147325342
+2023,74.92933860938383
+2024,71.91681017353292
+"
+US,fundamental,"Within the 2019–2021 window, how many times did Waste Management's Gross Margin decrease from one year to the next? (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,profitability,(Revenue - COGS) / Revenue * 100%,"year,Revenue,CostOfGoodsAndServicesSold
+2019,15455000000.0,9496000000.0
+2020,15218000000.0,9341000000.0
+2021,17931000000.0,11111000000.0
+","year,Gross Margin
+2019,38.557101261727595
+2020,38.61874096464713
+2021,38.034688528247166
+"
+US,fundamental,"Comparing Ameren's Gross Margin year by year from 2019 to 2023, how many times did it decrease relative to the preceding year? (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,profitability,(Revenue - COGS) / Revenue * 100%,"year,Revenue,CostOfGoodsAndServicesSold
+2019,5910000000.0,1745000000.0
+2020,5794000000.0,1661000000.0
+2021,6394000000.0,1774000000.0
+2022,7957000000.0,1937000000.0
+2023,7500000000.0,1866000000.0
+","year,Gross Margin
+2019,70.47377326565145
+2020,71.33241284086986
+2021,72.25523928683141
+2022,75.65665451803444
+2023,75.12
+"
+US,fundamental,"Taking 2021 as the starting reference, how many year-over-year increases occurred in Viatris's Gross Margin up to 2025? (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0,hard,profitability,(Revenue - COGS) / Revenue * 100%,"year,Revenue,CostOfGoodsAndServicesSold
+2021,17886300000.0,12310800000.0
+2022,16262700000.0,9765700000.0
+2023,15426900000.0,8988300000.0
+2024,14739300000.0,9115700000.0
+2025,14299900000.0,9286400000.0
+","year,Gross Margin
+2021,31.17190251756931
+2022,39.95031575322671
+2023,41.73618808704276
+2024,38.153779351800964
+2025,35.05968573206806
+"
+US,fundamental,"For Parker Hannifin's Gross Margin from 2017 to 2021, count the number of YoY decreases between each consecutive pair of years. (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,profitability,(Revenue - COGS) / Revenue * 100%,"year,Revenue,CostOfGoodsAndServicesSold
+2017,12029312000.0,9188962000.0
+2018,14302392000.0,10762841000.0
+2019,14320324000.0,10703484000.0
+2020,13695520000.0,10286518000.0
+2021,14347640000.0,10449680000.0
+","year,Gross Margin
+2017,23.611907314400028
+2018,24.747965235465507
+2019,25.256691119558468
+2020,24.891365935722046
+2021,27.1679523601094
+"
+US,fundamental,"Calculate the EBIT Margin of Accenture from 2021 to 2023 and make a year-over-year comparison. How many times was there a YoY decrease? (Indicator unit: %; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0,hard,profitability,EBIT / Revenue * 100% = (Pretax Income + Interest Expense) / Revenue * 100%,"year,Revenue,PretaxIncomeLoss,InterestExpense
+2021,50533389000.0,7761116000.0,59492000.0
+2022,61594305000.0,9196167000.0,47320000.0
+2023,64111745000.0,9139332000.0,47525000.0
+","year,EBIT Margin
+2021,15.476120154933604
+2022,15.007048135375504
+2023,14.329444628281449
+"
+US,fundamental,"Within the 2020–2022 window, how many times did Applied Materials's EBIT Margin decrease from one year to the next? (Indicator unit: %; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,profitability,EBIT / Revenue * 100% = (Pretax Income + Interest Expense) / Revenue * 100%,"year,Revenue,PretaxIncomeLoss,InterestExpense
+2020,17202000000.0,4166000000.0,240000000.0
+2021,23063000000.0,6771000000.0,236000000.0
+2022,25785000000.0,7599000000.0,228000000.0
+","year,EBIT Margin
+2020,25.613300778979188
+2021,30.381997138273427
+2022,30.354857475276326
+"
+US,fundamental,"Comparing Hershey Company (The)'s EBIT Margin year by year from 2016 to 2018, how many times did it increase relative to the preceding year? (Indicator unit: %; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0,hard,profitability,EBIT / Revenue * 100% = (Pretax Income + Interest Expense) / Revenue * 100%,"year,Revenue,PretaxIncomeLoss,InterestExpense
+2016,7440181000.0,1099481000.0,90951000.0
+2017,7515426000.0,1110668000.0,101874000.0
+2018,7791069000.0,1410061000.0,132486000.0
+","year,EBIT Margin
+2016,16.00004085922103
+2017,16.134042168734013
+2018,19.798913345524216
+"
+US,fundamental,"Taking 2017 as the starting reference, how many year-over-year increases occurred in Ecolab's EBIT Margin up to 2021? (Indicator unit: %; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0,hard,profitability,EBIT / Revenue * 100% = (Pretax Income + Interest Expense) / Revenue * 100%,"year,Revenue,PretaxIncomeLoss,InterestExpense
+2017,13838300000.0,1764800000.0,239300000.0
+2018,14668200000.0,1804600000.0,206400000.0
+2019,14906300000.0,1898900000.0,189400000.0
+2020,11790200000.0,1161400000.0,262500000.0
+2021,12733100000.0,1414200000.0,208700000.0
+","year,EBIT Margin
+2017,14.482270221053165
+2018,13.709930325465974
+2019,14.009512756351342
+2020,12.076979186103713
+2021,12.745521514792154
+"
+US,fundamental,"For Analog Devices's EBIT Margin from 2018 to 2020, count the number of YoY decreases between each consecutive pair of years. (Indicator unit: %; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0,hard,profitability,EBIT / Revenue * 100% = (Pretax Income + Interest Expense) / Revenue * 100%,"year,Revenue,PretaxIncomeLoss,InterestExpense
+2018,6200942000.0,1638517000.0,253589000.0
+2019,5991065000.0,1485728000.0,229075000.0
+2020,5603056000.0,1311617000.0,193305000.0
+","year,EBIT Margin
+2018,30.513202671465077
+2019,28.622673931930297
+2020,26.858949830235503
+"
+US,fundamental,"Calculate the EBITDA Margin of IDEX Corporation from 2017 to 2021 and make a year-over-year comparison. How many times was there a YoY increase? (Indicator unit: %;  Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0,hard,profitability,(Pretax Income + Interest Expense + D&A) / Revenue * 100%,"year,Revenue,PretaxIncomeLoss,InterestExpense,DepreciationExpense,AmortizationOfIntangibles
+2017,2287312000.0,455273000.0,44889000.0,38314000.0,45902000.0
+2018,2483666000.0,528939000.0,44134000.0,39049000.0,38495000.0
+2019,2494573000.0,532903000.0,44341000.0,0.0,37333000.0
+2020,2351646000.0,470340000.0,44746000.0,0.0,41844000.0
+2021,2764800000.0,579800000.0,41000000.0,0.0,56400000.0
+","year,EBITDA Margin
+2017,25.548678973397593
+2018,26.19583309511021
+2019,24.63656104672022
+2020,23.682561065738636
+2021,24.49363425925926
+"
+US,fundamental,"Within the 2018–2020 window, how many times did Arthur J. Gallagher & Co.'s EBITDA Margin increase from one year to the next? (Indicator unit: %;  Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0,hard,profitability,(Pretax Income + Interest Expense + D&A) / Revenue * 100%,"year,Revenue,PretaxIncomeLoss,InterestExpense,Depreciation & Amortization
+2018,6934000000.0,479400000.0,138400000.0,419000000.0
+2019,7195000000.0,626100000.0,179800000.0,474400000.0
+2020,7003600000.0,870900000.0,196400000.0,562400000.0
+","year,EBITDA Margin
+2018,14.952408422267089
+2019,17.794301598332176
+2020,23.269461419841225
+"
+US,fundamental,"Comparing Cintas's EBITDA Margin year by year from 2022 to 2024, how many times did it increase relative to the preceding year? (Indicator unit: %;  Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,profitability,(Pretax Income + Interest Expense + D&A) / Revenue * 100%,"year,Revenue,PretaxIncomeLoss,InterestExpense,Depreciation & Amortization
+2022,7854459000.0,1498768000.0,88844000.0,249376000.0
+2023,8815769000.0,1693148000.0,111232000.0,257041000.0
+2024,9596615000.0,1973635000.0,100740000.0,280866000.0
+","year,EBITDA Margin
+2022,23.38783613231669
+2023,23.38333729025795
+2024,24.542414174164538
+"
+US,fundamental,"Taking 2018 as the starting reference, how many year-over-year decreases occurred in Vici Properties's EBITDA Margin up to 2022? (Indicator unit: %;  Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0,hard,profitability,(Pretax Income + Interest Expense + D&A) / Revenue * 100%,"year,Revenue,PretaxIncomeLoss,InterestExpense,Depreciation & Amortization
+2018,897977000.0,533558000.0,213309000.0,3686000.0
+2019,894798000.0,555986000.0,209379000.0,3831000.0
+2020,1225574000.0,897039000.0,308605000.0,3731000.0
+2021,1509568000.0,1026045000.0,323219000.0,3091000.0
+2022,2600697000.0,1139143000.0,466806000.0,3182000.0
+","year,EBITDA Margin
+2018,83.58265300781646
+2019,85.96308887592507
+2020,98.67825198641617
+2021,89.58556355195658
+2022,61.87306710470308
+"
+US,fundamental,"For Old Dominion's EBITDA Margin from 2022 to 2024, count the number of YoY increases between each consecutive pair of years. (Indicator unit: %;  Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0,hard,profitability,(Pretax Income + Interest Expense + D&A) / Revenue * 100%,"year,Revenue,PretaxIncomeLoss,InterestExpense,Depreciation & Amortization
+2022,6260077000.0,1841349000.0,3953000.0,276050000.0
+2023,5866152000.0,1647776000.0,3484000.0,324435000.0
+2024,5814810000.0,1557597000.0,2909000.0,344568000.0
+","year,EBITDA Margin
+2022,33.88699531970613
+2023,33.67957393534978
+2024,32.76244623642045
+"
+US,fundamental,"Calculate the Net Profit Margin of Palantir Technologies from 2023 to 2025 and make a year-over-year comparison. How many times was there a YoY decrease? (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0,hard,profitability,Net Income / Revenue * 100%,"year,Revenue,NetIncome
+2023,2225012000.0,209825000.0
+2024,2865507000.0,462190000.0
+2025,4475446000.0,1625033000.0
+","year,Net Profit Margin
+2023,9.430286218681069
+2024,16.129431894600152
+2025,36.30996776634105
+"
+US,fundamental,"Within the 2018–2022 window, how many times did Brown & Brown's Net Profit Margin increase from one year to the next? (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0,hard,profitability,Net Income / Revenue * 100%,"year,Revenue,NetIncome
+2018,2014246000.0,344255000.0
+2019,2392171000.0,398514000.0
+2020,2613375000.0,480483000.0
+2021,3051398000.0,587104000.0
+2022,3573400000.0,671800000.0
+","year,Net Profit Margin
+2018,17.09101073056618
+2019,16.659093350767982
+2020,18.385535944898837
+2021,19.24049239070092
+2022,18.80002238764202
+"
+US,fundamental,"Comparing J.B. Hunt's Net Profit Margin year by year from 2017 to 2021, how many times did it decrease relative to the preceding year? (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.0,hard,profitability,Net Income / Revenue * 100%,"year,Revenue,NetIncome
+2017,7189568000.0,686263000.0
+2018,8614874000.0,489585000.0
+2019,9165258000.0,516320000.0
+2020,9636573000.0,506035000.0
+2021,12168302000.0,760806000.0
+","year,Net Profit Margin
+2017,9.545260577547914
+2018,5.683019856123258
+2019,5.633447525426998
+2020,5.2511925141852815
+2021,6.252359614348822
+"
+US,fundamental,"Taking 2020 as the starting reference, how many year-over-year increases occurred in Emcor's Net Profit Margin up to 2024? (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.0,hard,profitability,Net Income / Revenue * 100%,"year,Revenue,NetIncome
+2020,8797061000.0,132943000.0
+2021,9903580000.0,383532000.0
+2022,11076120000.0,406122000.0
+2023,12582873000.0,632994000.0
+2024,14566116000.0,1007145000.0
+","year,Net Profit Margin
+2020,1.5112206224328784
+2021,3.872660189547618
+2022,3.666644998429053
+2023,5.030599927377476
+2024,6.914300284303653
+"
+US,fundamental,"For Jacobs Solutions's Net Profit Margin from 2020 to 2024, count the number of YoY increases between each consecutive pair of years. (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0,hard,profitability,Net Income / Revenue * 100%,"year,Revenue,NetIncome
+2020,13566975000.0,491845000.0
+2021,14092632000.0,477030000.0
+2022,14922825000.0,644039000.0
+2023,16352414000.0,665777000.0
+2024,11500941000.0,806093000.0
+","year,Net Profit Margin
+2020,3.6253107269675073
+2021,3.3849603111753717
+2022,4.315798114633121
+2023,4.071429453779729
+2024,7.008930834442155
+"
+US,fundamental,"Calculate the Return on Equity of Monolithic Power Systems from 2019 to 2023 and make a year-over-year comparison. How many times was there a YoY decrease? (Indicator unit: %; Use the average of beginning and ending stockholders’ equity) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,profitability,Net Income / Average Stockholders Equity * 100%,"year,NetIncome,AllEquityBalance
+2018,105268000.0,640093000.0
+2019,108839000.0,773491000.0
+2020,164375000.0,966587000.0
+2021,242023000.0,1243985000.0
+2022,437672000.0,1668602000.0
+2023,427374000.0,2049939000.0
+","year,Return on Equity
+2019,15.399014137115305
+2020,18.892831240898396
+2021,21.89686651237779
+2022,30.05383186836994
+2023,22.986112026195222
+"
+US,fundamental,"Within the 2017–2019 window, how many times did American Express's Return on Equity increase from one year to the next? (Indicator unit: %; Use the average of beginning and ending stockholders’ equity) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,profitability,Net Income / Average Stockholders Equity * 100%,"year,NetIncome,AllEquityBalance
+2016,5408000000.0,20501000000.0
+2017,2736000000.0,18227000000.0
+2018,6921000000.0,22290000000.0
+2019,6759000000.0,23071000000.0
+","year,Return on Equity
+2017,14.129312125593884
+2018,34.16343756941531
+2019,29.800930314587422
+"
+US,fundamental,"Comparing Chipotle Mexican Grill's Return on Equity year by year from 2017 to 2019, how many times did it increase relative to the preceding year? (Indicator unit: %; Use the average of beginning and ending stockholders’ equity) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,profitability,Net Income / Average Stockholders Equity * 100%,"year,NetIncome,AllEquityBalance
+2016,22938000.0,1402493000.0
+2017,176253000.0,1364445000.0
+2018,176553000.0,1441339000.0
+2019,350158000.0,1683026000.0
+","year,Return on Equity
+2017,12.739931288666389
+2018,12.584931698234788
+2019,22.414666660265368
+"
+US,fundamental,"Taking 2023 as the starting reference, how many year-over-year decreases occurred in Nasdaq Inc.'s Return on Equity up to 2025? (Indicator unit: %; Use the average of beginning and ending stockholders’ equity) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,profitability,Net Income / Average Stockholders Equity * 100%,"year,NetIncome,AllEquityBalance
+2022,1125000000.0,6151000000.0
+2023,1059000000.0,10816000000.0
+2024,1117000000.0,11191000000.0
+2025,1788000000.0,12227000000.0
+","year,Return on Equity
+2023,12.48305534272411
+2024,10.151315490525741
+2025,15.270304893671534
+"
+US,fundamental,"For Quest Diagnostics's Return on Equity from 2022 to 2024, count the number of YoY increases between each consecutive pair of years. (Indicator unit: %; Use the average of beginning and ending stockholders’ equity) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0,hard,profitability,Net Income / Average Stockholders Equity * 100%,"year,NetIncome,AllEquityBalance
+2021,1995000000.0,6444000000.0
+2022,946000000.0,5893000000.0
+2023,854000000.0,6307000000.0
+2024,871000000.0,6778000000.0
+","year,Return on Equity
+2022,15.33598119477993
+2023,14.000000000000002
+2024,13.31295376385174
+"
+US,fundamental,"Calculate the Return on Assets of Charles Schwab Corporation from 2017 to 2021 and make a year-over-year comparison. How many times was there a YoY increase? (Indicator unit: %; Use the average of beginning and ending total assets) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0,hard,profitability,Net Income / Average Total Assets * 100%,"year,NetIncome,Assets
+2016,1889000000.0,223383000000.0
+2017,2354000000.0,243274000000.0
+2018,3507000000.0,296482000000.0
+2019,3704000000.0,294005000000.0
+2020,3299000000.0,549009000000.0
+2021,5855000000.0,667270000000.0
+","year,Return on Assets
+2017,1.008878041045136
+2018,1.299476059552835
+2019,1.2545576786618502
+2020,0.7826679034986371
+2021,0.9627725217651543
+"
+US,fundamental,"Within the 2023–2025 window, how many times did McDonald's's Return on Assets increase from one year to the next? (Indicator unit: %; Use the average of beginning and ending total assets) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,profitability,Net Income / Average Total Assets * 100%,"year,NetIncome,Assets
+2022,6177400000.0,50435600000.0
+2023,8468800000.0,56146800000.0
+2024,8223000000.0,55182000000.0
+2025,8563000000.0,59515000000.0
+","year,Return on Assets
+2023,15.891554327919055
+2024,14.772457800676914
+2025,14.93151520963931
+"
+US,fundamental,"Comparing Waste Management's Return on Assets year by year from 2020 to 2022, how many times did it decrease relative to the preceding year? (Indicator unit: %; Use the average of beginning and ending total assets) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0,hard,profitability,Net Income / Average Total Assets * 100%,"year,NetIncome,Assets
+2019,1670000000.0,27743000000.0
+2020,1496000000.0,29345000000.0
+2021,1816000000.0,29097000000.0
+2022,2238000000.0,31367000000.0
+","year,Return on Assets
+2020,5.241031390134529
+2021,6.214708599979467
+2022,7.402752050807091
+"
+US,fundamental,"Taking 2020 as the starting reference, how many year-over-year decreases occurred in Ameren's Return on Assets up to 2022? (Indicator unit: %; Use the average of beginning and ending total assets) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0,hard,profitability,Net Income / Average Total Assets * 100%,"year,NetIncome,Assets
+2019,769000000.0,28933000000.0
+2020,815000000.0,32030000000.0
+2021,943000000.0,35735000000.0
+2022,1075000000.0,37904000000.0
+","year,Return on Assets
+2020,2.6737529321063596
+2021,2.783147642588357
+2022,2.9196485557924468
+"
+US,fundamental,"For S&P Global's Return on Assets from 2022 to 2024, count the number of YoY decreases between each consecutive pair of years. (Indicator unit: %; Use the average of beginning and ending total assets) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,profitability,Net Income / Average Total Assets * 100%,"year,NetIncome,Assets
+2021,3024000000.0,15026000000.0
+2022,3248000000.0,61784000000.0
+2023,2626000000.0,60589000000.0
+2024,3852000000.0,60221000000.0
+","year,Return on Assets
+2022,8.457232131232912
+2023,4.291796392995187
+2024,6.376955550037248
+"
+US,fundamental,"Calculate the Return on Invested Capital of Moody's Corporation from 2022 to 2024 and make a year-over-year comparison. How many times was there a YoY decrease? (Indicator unit: %;  Use the sum of Pretax Income and Interest Expense as EBIT; Use the average of beginning and ending invested capital. Total cash is deducted rather than excess cash. Operating lease liabilities are capitalized and included in debt per ASC 842.) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0,hard,profitability,ROIC = NOPAT / Average Invested Capital * 100%; NOPAT = EBIT x (1 - effective tax rate); EBIT = Pretax Income + Interest Expense; effective tax rate = Income Taxes / Pretax Income; Invested Capital = Equity (incl. minority) + Total Debt (short + long-term debt + operating lease liabilities) - Cash and Short-Term Investments,"year,PretaxIncomeLoss,InterestExpense,IncomeTaxes,AllEquityBalanceIncludingMinorityInterest,ShortTermDebt,LongTermDebt,OperatingLeaseCurrentDebtEquivalent,OperatingLeaseNonCurrentDebtEquivalent,CashAndMarketableSecurities,ShortTermInvestments
+2021,2755000000.0,171000000.0,541000000.0,2916000000.0,0.0,7413000000.0,105000000.0,455000000.0,1811000000.0,91000000.0
+2022,1760000000.0,231000000.0,386000000.0,2689000000.0,0.0,7389000000.0,106000000.0,368000000.0,1769000000.0,90000000.0
+2023,1935000000.0,251000000.0,327000000.0,3476000000.0,0.0,7001000000.0,108000000.0,306000000.0,2130000000.0,63000000.0
+2024,2699000000.0,237000000.0,640000000.0,3727000000.0,0.0,6731000000.0,102000000.0,216000000.0,2408000000.0,566000000.0
+","year,Return on Invested Capital
+2022,17.58300339366516
+2023,20.891069469684712
+2024,27.149107974895305
+"
+US,fundamental,"Within the 2021–2025 window, how many times did Accenture's Return on Invested Capital decrease from one year to the next? (Indicator unit: %;  Use the sum of Pretax Income and Interest Expense as EBIT; Use the average of beginning and ending invested capital. Total cash is deducted rather than excess cash. Operating lease liabilities are capitalized and included in debt per ASC 842.) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",4.0,hard,profitability,ROIC = NOPAT / Average Invested Capital * 100%; NOPAT = EBIT x (1 - effective tax rate); EBIT = Pretax Income + Interest Expense; effective tax rate = Income Taxes / Pretax Income; Invested Capital = Equity (incl. minority) + Total Debt (short + long-term debt + operating lease liabilities) - Cash and Short-Term Investments,"year,PretaxIncomeLoss,InterestExpense,IncomeTaxes,AllEquityBalanceIncludingMinorityInterest,ShortTermDebt,LongTermDebt,OperatingLeaseCurrentDebtEquivalent,OperatingLeaseNonCurrentDebtEquivalent,CashAndMarketableSecurities,ShortTermInvestments
+2020,6774331000.0,33071000.0,1589018000.0,17499173000.0,7820000.0,54052000.0,756057000.0,2667584000.0,8415330000.0,94309000.0
+2021,7761116000.0,59492000.0,1770571000.0,20097114000.0,12080000.0,53473000.0,744164000.0,2696917000.0,8168174000.0,4294000.0
+2022,9196167000.0,47320000.0,2207207000.0,22747088000.0,9175000.0,45893000.0,707598000.0,2563090000.0,7889833000.0,3973000.0
+2023,9139332000.0,47525000.0,2135802000.0,26458593000.0,104810000.0,43093000.0,690417000.0,2310714000.0,9045032000.0,4575000.0
+2024,9699323000.0,58969000.0,2280126000.0,29168248000.0,946229000.0,78628000.0,726202000.0,2369490000.0,5004469000.0,5396000.0
+2025,10270393000.0,228555000.0,2437993000.0,32240967000.0,114484000.0,5034169000.0,729003000.0,2305210000.0,11478729000.0,5945000.0
+","year,Return on Invested Capital
+2021,43.262338884096955
+2022,41.80217840793797
+2023,36.34735874326224
+2024,30.568261147238786
+2025,27.98660464181944
+"
+US,fundamental,"Comparing IBM's Return on Invested Capital year by year from 2020 to 2022, how many times did it decrease relative to the preceding year? (Indicator unit: %;  Use the sum of Pretax Income and Interest Expense as EBIT; Use the average of beginning and ending invested capital. Total cash is deducted rather than excess cash. Operating lease liabilities are capitalized and included in debt per ASC 842.) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,profitability,ROIC = NOPAT / Average Invested Capital * 100%; NOPAT = EBIT x (1 - effective tax rate); EBIT = Pretax Income + Interest Expense; effective tax rate = Income Taxes / Pretax Income; Invested Capital = Equity (incl. minority) + Total Debt (short + long-term debt + operating lease liabilities) - Cash and Short-Term Investments,"year,PretaxIncomeLoss,InterestExpense,IncomeTaxes,AllEquityBalanceIncludingMinorityInterest,ShortTermDebt,LongTermDebt,OperatingLeaseCurrentDebtEquivalent,OperatingLeaseNonCurrentDebtEquivalent,CashAndMarketableSecurities,ShortTermInvestments
+2019,10166000000.0,1685000000.0,2091000000.0,20985000000.0,8797000000.0,54102000000.0,1380000000.0,3879000000.0,8172000000.0,696000000.0
+2020,4637000000.0,1830000000.0,2253000000.0,20727000000.0,7183000000.0,54355000000.0,1357000000.0,3574000000.0,13212000000.0,600000000.0
+2021,4837000000.0,1512000000.0,2103000000.0,18996000000.0,6787000000.0,44917000000.0,974000000.0,2462000000.0,6650000000.0,0.0
+2022,1156000000.0,1401000000.0,1865000000.0,22021000000.0,4760000000.0,46189000000.0,874000000.0,2190000000.0,7886000000.0,0.0
+","year,Return on Invested Capital
+2020,4.327569081274539
+2021,5.094941842182501
+2022,-2.3124936827498264
+"
+US,fundamental,"Taking 2019 as the starting reference, how many year-over-year increases occurred in United Parcel Service's Return on Invested Capital up to 2021? (Indicator unit: %;  Use the sum of Pretax Income and Interest Expense as EBIT; Use the average of beginning and ending invested capital. Total cash is deducted rather than excess cash. Operating lease liabilities are capitalized and included in debt per ASC 842.) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,profitability,ROIC = NOPAT / Average Invested Capital * 100%; NOPAT = EBIT x (1 - effective tax rate); EBIT = Pretax Income + Interest Expense; effective tax rate = Income Taxes / Pretax Income; Invested Capital = Equity (incl. minority) + Total Debt (short + long-term debt + operating lease liabilities) - Cash and Short-Term Investments,"year,PretaxIncomeLoss,InterestExpense,IncomeTaxes,AllEquityBalanceIncludingMinorityInterest,ShortTermDebt,LongTermDebt,OperatingLeaseCurrentDebtEquivalent,OperatingLeaseNonCurrentDebtEquivalent,CashAndMarketableSecurities,ShortTermInvestments
+2018,6019000000.0,605000000.0,1228000000.0,3037000000.0,2805000000.0,19931000000.0,0.0,0.0,4225000000.0,810000000.0
+2019,5652000000.0,653000000.0,1212000000.0,3283000000.0,3420000000.0,21818000000.0,538000000.0,2391000000.0,5238000000.0,503000000.0
+2020,1844000000.0,701000000.0,501000000.0,669000000.0,2623000000.0,22031000000.0,560000000.0,2540000000.0,5910000000.0,406000000.0
+2021,16595000000.0,694000000.0,3705000000.0,14269000000.0,0.0,19784000000.0,580000000.0,3033000000.0,10255000000.0,338000000.0
+","year,Return on Invested Capital
+2019,21.327415760547478
+2020,7.752818831551315
+2021,54.6118647720783
+"
+US,fundamental,"For 3M's Return on Invested Capital from 2017 to 2021, count the number of YoY increases between each consecutive pair of years. (Indicator unit: %;  Use the sum of Pretax Income and Interest Expense as EBIT; Use the average of beginning and ending invested capital. Total cash is deducted rather than excess cash. Operating lease liabilities are capitalized and included in debt per ASC 842.) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0,hard,profitability,ROIC = NOPAT / Average Invested Capital * 100%; NOPAT = EBIT x (1 - effective tax rate); EBIT = Pretax Income + Interest Expense; effective tax rate = Income Taxes / Pretax Income; Invested Capital = Equity (incl. minority) + Total Debt (short + long-term debt + operating lease liabilities) - Cash and Short-Term Investments,"year,PretaxIncomeLoss,InterestExpense,IncomeTaxes,AllEquityBalanceIncludingMinorityInterest,ShortTermDebt,LongTermDebt,OperatingLeaseCurrentDebtEquivalent,OperatingLeaseNonCurrentDebtEquivalent,CashAndMarketableSecurities,ShortTermInvestments
+2016,7053000000.0,199000000.0,1995000000.0,10343000000.0,972000000.0,10678000000.0,0.0,0.0,2398000000.0,0.0
+2017,7548000000.0,0.0,2679000000.0,11622000000.0,1853000000.0,12096000000.0,0.0,0.0,3053000000.0,0.0
+2018,7000000000.0,0.0,1637000000.0,9848000000.0,1211000000.0,13411000000.0,0.0,0.0,2853000000.0,380000000.0
+2019,5712000000.0,0.0,1130000000.0,10126000000.0,0.0,17518000000.0,247000000.0,607000000.0,0.0,98000000.0
+2020,6711000000.0,0.0,1318000000.0,12931000000.0,0.0,17989000000.0,256000000.0,609000000.0,0.0,404000000.0
+2021,7204000000.0,0.0,1285000000.0,15117000000.0,1307000000.0,16056000000.0,263000000.0,591000000.0,201000000.0,0.0
+","year,Return on Invested Capital
+2017,23.123501056680833
+2018,24.51376985487373
+2019,18.462034369522733
+2020,18.042521871497634
+2021,18.34950553368261
+"
+US,fundamental,"Calculate the Days Inventory Outstanding of Huntington Ingalls Industries from 2021 to 2023 and make a year-over-year comparison. How many times was there a YoY increase? (Use the average of beginning and ending inventory; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0,hard,operational efficiency,Average Inventory / COGS * 365,"year,CostOfGoodsAndServicesSold,Inventories
+2020,7691000000.0,137000000.0
+2021,8156000000.0,161000000.0
+2022,9236000000.0,183000000.0
+2023,9808000000.0,186000000.0
+","year,Days Inventory Outstanding
+2021,6.668097106424718
+2022,6.797314854915548
+2023,6.866078711256118
+"
+US,fundamental,"Within the 2018–2020 window, how many times did Amphenol's Days Inventory Outstanding decrease from one year to the next? (Use the average of beginning and ending inventory; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0,hard,operational efficiency,Average Inventory / COGS * 365,"year,CostOfGoodsAndServicesSold,Inventories
+2017,4701400000.0,1106900000.0
+2018,5547100000.0,1233800000.0
+2019,5609400000.0,1310100000.0
+2020,5934800000.0,1462200000.0
+","year,Days Inventory Outstanding
+2018,77.00920300697662
+2019,82.76495703640317
+2020,85.25051391790792
+"
+US,fundamental,"Comparing Hasbro's Days Inventory Outstanding year by year from 2018 to 2022, how many times did it decrease relative to the preceding year? (Use the average of beginning and ending inventory; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,operational efficiency,Average Inventory / COGS * 365,"year,CostOfGoodsAndServicesSold,Inventories
+2017,2033693000.0,433293000.0
+2018,1850678000.0,443383000.0
+2019,1807849000.0,446105000.0
+2020,1718888000.0,395633000.0
+2021,1927500000.0,552100000.0
+2022,1911800000.0,676800000.0
+","year,Days Inventory Outstanding
+2018,86.45121949901603
+2019,89.7926541431281
+2020,89.37009566650067
+2021,89.7334747081712
+2022,117.31051888272832
+"
+US,fundamental,"Taking 2022 as the starting reference, how many year-over-year decreases occurred in Lululemon Athletica's Days Inventory Outstanding up to 2024? (Use the average of beginning and ending inventory; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,operational efficiency,Average Inventory / COGS * 365,"year,CostOfGoodsAndServicesSold,Inventories
+2021,2648052000.0,966481000.0
+2022,3618178000.0,1447367000.0
+2023,4009873000.0,1323602000.0
+2024,4317315000.0,1442081000.0
+","year,Days Inventory Outstanding
+2022,121.7538938106417
+2023,126.11417930193798
+2024,116.90996545306515
+"
+US,fundamental,"For Genuine Parts Company's Days Inventory Outstanding from 2020 to 2024, count the number of YoY decreases between each consecutive pair of years. (Use the average of beginning and ending inventory; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0,hard,operational efficiency,Average Inventory / COGS * 365,"year,CostOfGoodsAndServicesSold,Inventories
+2019,13076036000.0,3831183000.0
+2020,10882592000.0,3506271000.0
+2021,12236374000.0,3889919000.0
+2022,14355869000.0,4441649000.0
+2023,14799938000.0,4676686000.0
+2024,14962954000.0,5514427000.0
+","year,Days Inventory Outstanding
+2020,123.04838360199481
+2021,110.31083840686792
+2022,105.9156474609792
+2023,112.4393992393752
+2024,124.2988598708517
+"
+US,fundamental,"Calculate the Days Sales Outstanding of Comcast from 2017 to 2021 and make a year-over-year comparison. How many times was there a YoY decrease? (Use the average of beginning and ending trade receivables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0,hard,operational efficiency,Average Trade Receivables / Revenue * 365,"year,Revenue,TradeReceivables
+2016,80403000000.0,7955000000.0
+2017,84526000000.0,8546000000.0
+2018,94507000000.0,11104000000.0
+2019,108942000000.0,11292000000.0
+2020,103564000000.0,11466000000.0
+2021,116385000000.0,12008000000.0
+","year,Days Sales Outstanding
+2017,35.627292194117786
+2018,37.9456019130858
+2019,37.51785353674432
+2020,40.10404194507744
+2021,36.808910082914466
+"
+US,fundamental,"Within the 2019–2023 window, how many times did IBM's Days Sales Outstanding decrease from one year to the next? (Use the average of beginning and ending trade receivables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",4.0,hard,operational efficiency,Average Trade Receivables / Revenue * 365,"year,Revenue,TradeReceivables
+2018,79591000000.0,22388000000.0
+2019,77147000000.0,14192000000.0
+2020,73620000000.0,10892000000.0
+2021,57350000000.0,7221000000.0
+2022,60530000000.0,6851000000.0
+2023,61860000000.0,7214000000.0
+","year,Days Sales Outstanding
+2019,86.53414909199321
+2020,62.181879923933714
+2021,57.63945074106365
+2022,42.427556583512306
+2023,41.49470578726156
+"
+US,fundamental,"Comparing Xylem Inc.'s Days Sales Outstanding year by year from 2017 to 2021, how many times did it decrease relative to the preceding year? (Use the average of beginning and ending trade receivables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0,hard,operational efficiency,Average Trade Receivables / Revenue * 365,"year,Revenue,TradeReceivables
+2016,3771000000.0,843000000.0
+2017,4707000000.0,956000000.0
+2018,5207000000.0,1031000000.0
+2019,5249000000.0,1036000000.0
+2020,4876000000.0,923000000.0
+2021,5195000000.0,953000000.0
+","year,Days Sales Outstanding
+2017,69.75090291055875
+2018,69.64230843095832
+2019,71.86654600876358
+2020,73.3218826907301
+2021,65.90375360923966
+"
+US,fundamental,"Taking 2021 as the starting reference, how many year-over-year increases occurred in PepsiCo's Days Sales Outstanding up to 2023? (Use the average of beginning and ending trade receivables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0,hard,operational efficiency,Average Trade Receivables / Revenue * 365,"year,Revenue,TradeReceivables
+2020,70372000000.0,8404000000.0
+2021,79474000000.0,8680000000.0
+2022,86392000000.0,10163000000.0
+2023,91471000000.0,10815000000.0
+","year,Days Sales Outstanding
+2021,39.23081762589023
+2022,39.80516135753311
+2023,41.85463152255906
+"
+US,fundamental,"For Intuitive Surgical's Days Sales Outstanding from 2022 to 2024, count the number of YoY increases between each consecutive pair of years. (Use the average of beginning and ending trade receivables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,operational efficiency,Average Trade Receivables / Revenue * 365,"year,Revenue,TradeReceivables
+2021,5710100000.0,782700000.0
+2022,6222200000.0,942100000.0
+2023,7124100000.0,1130200000.0
+2024,8352100000.0,1225400000.0
+","year,Days Sales Outstanding
+2022,50.58918067564527
+2023,53.086670596987695
+2024,51.47172567378264
+"
+US,fundamental,"Calculate the Days Payable Outstanding of Netflix from 2019 to 2021 and make a year-over-year comparison. How many times was there a YoY increase? (Use the average of beginning and ending trade payables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0,hard,operational efficiency,Average Trade Payables / COGS * 365,"year,CostOfGoodsAndServicesSold,TradePayables
+2018,9967538000.0,562985000.0
+2019,12440213000.0,674347000.0
+2020,15276319000.0,656183000.0
+2021,17332683000.0,837483000.0
+","year,Days Payable Outstanding
+2019,18.151866853083625
+2020,15.895303377731247
+2021,15.727169590535983
+"
+US,fundamental,"Within the 2019–2023 window, how many times did Steris's Days Payable Outstanding decrease from one year to the next? (Use the average of beginning and ending trade payables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0,hard,operational efficiency,Average Trade Payables / COGS * 365,"year,CostOfGoodsAndServicesSold,TradePayables
+2018,1606743000.0,152913000.0
+2019,1710972000.0,149341000.0
+2020,1764419000.0,156950000.0
+2021,2568702000.0,225737000.0
+2022,2798147000.0,279620000.0
+2023,2920541000.0,251723000.0
+","year,Days Payable Outstanding
+2019,32.23977657144594
+2020,31.680744483028125
+2021,27.188976183301918
+2022,32.960259950603024
+2023,33.202785887957056
+"
+US,fundamental,"Comparing Gen Digital's Days Payable Outstanding year by year from 2017 to 2021, how many times did it increase relative to the preceding year? (Use the average of beginning and ending trade payables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,operational efficiency,Average Trade Payables / COGS * 365,"year,CostOfGoodsAndServicesSold,TradePayables
+2016,853000000.0,180000000.0
+2016,615000000.0,175000000.0
+2017,1032000000.0,168000000.0
+2018,1050000000.0,165000000.0
+2020,393000000.0,87000000.0
+2021,362000000.0,52000000.0
+","year,Days Payable Outstanding
+2016,105.34552845528457
+2017,60.65649224806201
+2018,57.878571428571426
+2020,117.02290076335878
+2021,70.07596685082873
+"
+US,fundamental,"Taking 2018 as the starting reference, how many year-over-year increases occurred in Costco's Days Payable Outstanding up to 2020? (Use the average of beginning and ending trade payables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0,hard,operational efficiency,Average Trade Payables / COGS * 365,"year,CostOfGoodsAndServicesSold,TradePayables
+2017,111882000000.0,9608000000.0
+2018,123152000000.0,11237000000.0
+2019,132886000000.0,11679000000.0
+2020,144939000000.0,14172000000.0
+","year,Days Payable Outstanding
+2018,30.890383428608548
+2019,31.47186310070286
+2020,32.5502970215056
+"
+US,fundamental,"For Southwest Airlines's Days Payable Outstanding from 2022 to 2024, count the number of YoY increases between each consecutive pair of years. (Use the average of beginning and ending trade payables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0,hard,operational efficiency,Average Trade Payables / COGS * 365,"year,CostOfGoodsAndServicesSold,TradePayables
+2021,7743000000.0,1282000000.0
+2022,9376000000.0,2004000000.0
+2023,11152000000.0,1862000000.0
+2024,12240000000.0,1818000000.0
+","year,Days Payable Outstanding
+2022,63.96064419795221
+2023,63.26623027259684
+2024,54.869281045751634
+"
+US,fundamental,"Calculate the Operating Cycle of KLA Corporation from 2023 to 2025 and make a year-over-year comparison. How many times was there a YoY decrease? (Use the average of beginning and ending inventory and trade receivables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,operational efficiency,Days Inventory Outstanding + Days Sales Outstanding,"year,CostOfGoodsAndServicesSold,Inventories,Revenue,TradeReceivables
+2022,3592441000.0,2146889000.0,9211883000.0,1811877000.0
+2023,4218307000.0,2876784000.0,10496056000.0,1753361000.0
+2024,3928073000.0,3034781000.0,9812247000.0,1833041000.0
+2025,4751867000.0,3212149000.0,12156162000.0,2263915000.0
+","year,Operating Cycle
+2023,279.3337121098209
+2024,341.35813949022474
+2025,301.426770753387
+"
+US,fundamental,"Within the 2019–2021 window, how many times did Electronic Arts's Operating Cycle increase from one year to the next? (Use the average of beginning and ending inventory and trade receivables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0,hard,operational efficiency,Days Inventory Outstanding + Days Sales Outstanding,"year,CostOfGoodsAndServicesSold,Inventories,Revenue,TradeReceivables
+2018,1322000000.0,0.0,4950000000.0,623000000.0
+2019,1369000000.0,0.0,5537000000.0,461000000.0
+2020,1494000000.0,0.0,5629000000.0,521000000.0
+2021,1859000000.0,0.0,6991000000.0,650000000.0
+","year,Operating Cycle
+2019,35.72873397146469
+2020,31.837804228104456
+2021,30.568945787440995
+"
+US,fundamental,"Comparing Albemarle Corporation's Operating Cycle year by year from 2021 to 2023, how many times did it decrease relative to the preceding year? (Use the average of beginning and ending inventory and trade receivables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0,hard,operational efficiency,Days Inventory Outstanding + Days Sales Outstanding,"year,CostOfGoodsAndServicesSold,Inventories,Revenue,TradeReceivables
+2020,2134056000.0,750237000.0,3128909000.0,530838000.0
+2021,2329986000.0,812920000.0,3327957000.0,556922000.0
+2022,4245517000.0,2076031000.0,7320104000.0,1190970000.0
+2023,8431294000.0,2161287000.0,9617203000.0,1213160000.0
+","year,Operating Cycle
+2021,182.0879238376246
+2022,167.7632383059335
+2023,137.340840502503
+"
+US,fundamental,"Taking 2020 as the starting reference, how many year-over-year decreases occurred in Chevron Corporation's Operating Cycle up to 2022? (Use the average of beginning and ending inventory and trade receivables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0,hard,operational efficiency,Days Inventory Outstanding + Days Sales Outstanding,"year,CostOfGoodsAndServicesSold,Inventories,Revenue,TradeReceivables
+2019,80113000000.0,5848000000.0,139865000000.0,13325000000.0
+2020,50488000000.0,5676000000.0,94471000000.0,11471000000.0
+2021,89372000000.0,6305000000.0,155606000000.0,18419000000.0
+2022,145416000000.0,8247000000.0,235717000000.0,20456000000.0
+","year,Operating Cycle
+2020,89.55719192987101
+2021,59.52152735875114
+2022,48.36137986445628
+"
+US,fundamental,"For Stryker Corporation's Operating Cycle from 2017 to 2019, count the number of YoY increases between each consecutive pair of years. (Use the average of beginning and ending inventory and trade receivables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0,hard,operational efficiency,Days Inventory Outstanding + Days Sales Outstanding,"year,CostOfGoodsAndServicesSold,Inventories,Revenue,TradeReceivables
+2016,3830000000.0,2030000000.0,11325000000.0,1967000000.0
+2017,4271000000.0,2465000000.0,12444000000.0,2198000000.0
+2018,4663000000.0,2955000000.0,13601000000.0,2332000000.0
+2019,5188000000.0,3282000000.0,14884000000.0,2893000000.0
+","year,Operating Cycle
+2017,253.1541791891688
+2018,272.9115193227252
+2019,283.4673008142952
+"
+US,fundamental,"Calculate the Cash Conversion Cycle of Howmet Aerospace from 2021 to 2025 and make a year-over-year comparison. How many times was there a YoY decrease? (Use the average of beginning and ending inventory, trade receivables, and trade payables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,operational efficiency,Days Inventory Outstanding + Days Sales Outstanding - Days Payable Outstanding,"year,CostOfGoodsAndServicesSold,Inventories,Revenue,TradeReceivables,TradePayables
+2020,3878000000.0,1488000000.0,5259000000.0,328000000.0,599000000.0
+2021,3596000000.0,1402000000.0,4972000000.0,367000000.0,732000000.0
+2022,4103000000.0,1609000000.0,5663000000.0,506000000.0,962000000.0
+2023,4773000000.0,1765000000.0,6640000000.0,675000000.0,982000000.0
+2024,5119000000.0,1840000000.0,7430000000.0,689000000.0,948000000.0
+2025,5432000000.0,1849000000.0,8252000000.0,779000000.0,845000000.0
+","year,Cash Conversion Cycle
+2021,104.6309086166179
+2022,86.71363739009227
+2023,87.13706562579672
+2024,93.2196179119986
+2025,96.16636338260838
+"
+US,fundamental,"Within the 2020–2024 window, how many times did Omnicom Group's Cash Conversion Cycle increase from one year to the next? (Use the average of beginning and ending inventory, trade receivables, and trade payables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.0,hard,operational efficiency,Days Inventory Outstanding + Days Sales Outstanding - Days Payable Outstanding,"year,CostOfGoodsAndServicesSold,Inventories,Revenue,TradeReceivables,TradePayables
+2019,12194000000.0,0.0,14953700000.0,7829000000.0,11768400000.0
+2020,10989200000.0,0.0,13171100000.0,7813400000.0,11513000000.0
+2021,11499700000.0,0.0,14289400000.0,8472500000.0,11897200000.0
+2022,11607900000.0,0.0,14289100000.0,8097100000.0,11000200000.0
+2023,11982700000.0,0.0,14692200000.0,8659800000.0,11634000000.0
+2024,12764700000.0,0.0,15689100000.0,9242000000.0,12484400000.0
+","year,Cash Conversion Cycle
+2020,-169.896635144151
+2021,-163.52067862916053
+2022,-148.36761432330727
+2023,-136.5786487334637
+2024,-136.5878467149971
+"
+US,fundamental,"Comparing American Electric Power's Cash Conversion Cycle year by year from 2019 to 2021, how many times did it decrease relative to the preceding year? (Use the average of beginning and ending inventory, trade receivables, and trade payables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,operational efficiency,Days Inventory Outstanding + Days Sales Outstanding - Days Payable Outstanding,"year,CostOfGoodsAndServicesSold,Inventories,Revenue,TradeReceivables,TradePayables
+2018,5786500000.0,579600000.0,16195700000.0,1926500000.0,1874300000.0
+2019,5106100000.0,640700000.0,15561400000.0,1705100000.0,2085800000.0
+2020,4369700000.0,680600000.0,14918500000.0,1842700000.0,1709700000.0
+2021,5466300000.0,681300000.0,16792000000.0,1941600000.0,2054600000.0
+","year,Cash Conversion Cycle
+2019,-55.33428891898855
+2020,-59.93395775666609
+2021,-39.07865648822583
+"
+US,fundamental,"Taking 2023 as the starting reference, how many year-over-year decreases occurred in Dover Corporation's Cash Conversion Cycle up to 2025? (Use the average of beginning and ending inventory, trade receivables, and trade payables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0,hard,operational efficiency,Days Inventory Outstanding + Days Sales Outstanding - Days Payable Outstanding,"year,CostOfGoodsAndServicesSold,Inventories,Revenue,TradeReceivables,TradePayables
+2022,5444532000.0,1366608000.0,8508088000.0,1516871000.0,1068144000.0
+2023,5353501000.0,1225452000.0,8438134000.0,1432040000.0,958542000.0
+2024,4787288000.0,1144838000.0,7745909000.0,1354225000.0,848006000.0
+2025,4874402000.0,1272784000.0,8092571000.0,1371352000.0,875678000.0
+","year,Cash Conversion Cycle
+2023,83.05257032397412
+2024,87.13755533530447
+2025,87.44735825895737
+"
+US,fundamental,"For Deckers Brands's Cash Conversion Cycle from 2018 to 2022, count the number of YoY increases between each consecutive pair of years. (Use the average of beginning and ending inventory, trade receivables, and trade payables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,operational efficiency,Days Inventory Outstanding + Days Sales Outstanding - Days Payable Outstanding,"year,CostOfGoodsAndServicesSold,Inventories,Revenue,TradeReceivables,TradePayables
+2017,971697000.0,299602000.0,1903339000.0,143704000.0,93939000.0
+2018,980187000.0,278842000.0,2020437000.0,178602000.0,124974000.0
+2019,1029016000.0,311620000.0,2132689000.0,185596000.0,147892000.0
+2020,1171551000.0,278242000.0,2545641000.0,215718000.0,231632000.0
+2021,1542788000.0,506796000.0,3150339000.0,302688000.0,327487000.0
+2022,1801916000.0,532852000.0,3627286000.0,301511000.0,265605000.0
+","year,Cash Conversion Cycle
+2018,96.05363566596216
+2019,87.49230269920214
+2020,61.53637001046381
+2021,56.75588815581402
+2022,75.62679848611367
+"
+US,fundamental,"Calculate the Inventory Turnover of Revvity from 2018 to 2020 and make a year-over-year comparison. How many times was there a YoY increase? (Use the average of beginning and ending inventory) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,operational efficiency,COGS / Average Inventory,"year,CostOfGoodsAndServicesSold,Inventories
+2017,708685000.0,351675000.0
+2018,1437057000.0,338347000.0
+2019,1487618000.0,356937000.0
+2020,1672868000.0,514567000.0
+","year,Inventory Turnover
+2018,4.165249803629449
+2019,4.279166498869527
+2020,3.83903688336485
+"
+US,fundamental,"Within the 2020–2024 window, how many times did Ecolab's Inventory Turnover increase from one year to the next? (Use the average of beginning and ending inventory) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.0,hard,operational efficiency,COGS / Average Inventory,"year,CostOfGoodsAndServicesSold,Inventories
+2019,8723400000.0,1505600000.0
+2020,6905800000.0,1285200000.0
+2021,7615800000.0,1491800000.0
+2022,8831000000.0,1792800000.0
+2023,9154900000.0,1497200000.0
+2024,8899700000.0,1464900000.0
+","year,Inventory Turnover
+2020,4.948975204242511
+2021,5.484911775297083
+2022,5.377214881568532
+2023,5.5652887537993925
+2024,6.009047635123729
+"
+US,fundamental,"Comparing Illinois Tool Works's Inventory Turnover year by year from 2023 to 2025, how many times did it increase relative to the preceding year? (Use the average of beginning and ending inventory) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0,hard,operational efficiency,COGS / Average Inventory,"year,CostOfGoodsAndServicesSold,Inventories
+2022,9429000000.0,2054000000.0
+2023,9316000000.0,1707000000.0
+2024,8858000000.0,1605000000.0
+2025,8969000000.0,1659000000.0
+","year,Inventory Turnover
+2023,4.954001595320394
+2024,5.349033816425121
+2025,5.495710784313726
+"
+US,fundamental,"Taking 2018 as the starting reference, how many year-over-year increases occurred in GE Aerospace's Inventory Turnover up to 2022? (Use the average of beginning and ending inventory) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0,hard,operational efficiency,COGS / Average Inventory,"year,CostOfGoodsAndServicesSold,Inventories
+2017,64328000000.0,21923000000.0
+2018,92671000000.0,19271000000.0
+2019,70029000000.0,14104000000.0
+2020,60421000000.0,15890000000.0
+2021,53896000000.0,15847000000.0
+2022,55535000000.0,17403000000.0
+","year,Inventory Turnover
+2018,4.499247463222799
+2019,4.196494382022472
+2020,4.028872441154897
+2021,3.396414279862621
+2022,3.340451127819549
+"
+US,fundamental,"For Tesla's Inventory Turnover from 2020 to 2024, count the number of YoY increases between each consecutive pair of years. (Use the average of beginning and ending inventory) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0,hard,operational efficiency,COGS / Average Inventory,"year,CostOfGoodsAndServicesSold,Inventories
+2019,20509000000.0,3552000000.0
+2020,24906000000.0,4101000000.0
+2021,40217000000.0,5757000000.0
+2022,60609000000.0,12839000000.0
+2023,79113000000.0,13626000000.0
+2024,80240000000.0,12017000000.0
+","year,Inventory Turnover
+2020,6.5088200705605646
+2021,8.15926151349158
+2022,6.51849860184986
+2023,5.978688834309465
+2024,6.258238115665094
+"
+US,fundamental,"Calculate the Receivables Turnover of Match Group from 2019 to 2021 and make a year-over-year comparison. How many times was there a YoY increase? (Use the average of beginning and ending trade receivables) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,operational efficiency,Revenue / Average Trade Receivables,"year,Revenue,TradeReceivables
+2018,4262892000.0,279189000.0
+2019,4757055000.0,298334000.0
+2020,2391269000.0,137023000.0
+2021,2983277000.0,188482000.0
+","year,Receivables Turnover
+2019,16.473993243559132
+2020,10.98532468755527
+2021,18.33014546627548
+"
+US,fundamental,"Within the 2022–2024 window, how many times did Merck & Co.'s Receivables Turnover decrease from one year to the next? (Use the average of beginning and ending trade receivables) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,operational efficiency,Revenue / Average Trade Receivables,"year,Revenue,TradeReceivables
+2021,48704000000.0,9230000000.0
+2022,59283000000.0,9450000000.0
+2023,60115000000.0,10349000000.0
+2024,64168000000.0,10278000000.0
+","year,Receivables Turnover
+2022,6.347216274089936
+2023,6.072528915601798
+2024,6.22174819411451
+"
+US,fundamental,"Comparing Marathon Petroleum's Receivables Turnover year by year from 2019 to 2023, how many times did it decrease relative to the preceding year? (Use the average of beginning and ending trade receivables) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0,hard,operational efficiency,Revenue / Average Trade Receivables,"year,Revenue,TradeReceivables
+2018,95750000000.0,5853000000.0
+2019,123949000000.0,7872000000.0
+2020,69779000000.0,5760000000.0
+2021,119983000000.0,11034000000.0
+2022,177453000000.0,13477000000.0
+2023,148379000000.0,11619000000.0
+","year,Receivables Turnover
+2019,18.06178506375228
+2020,10.237529342723004
+2021,14.288793616767894
+2022,14.479458202439721
+2023,11.824912336627351
+"
+US,fundamental,"Taking 2023 as the starting reference, how many year-over-year increases occurred in Martin Marietta Materials's Receivables Turnover up to 2025? (Use the average of beginning and ending trade receivables) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,operational efficiency,Revenue / Average Trade Receivables,"year,Revenue,TradeReceivables
+2022,6160700000.0,785900000.0
+2023,6777200000.0,753300000.0
+2024,6536000000.0,678000000.0
+2025,6150000000.0,723000000.0
+","year,Receivables Turnover
+2023,8.806133056133056
+2024,9.132956053936981
+2025,8.779443254817988
+"
+US,fundamental,"For AT&T's Receivables Turnover from 2022 to 2024, count the number of YoY decreases between each consecutive pair of years. (Use the average of beginning and ending trade receivables) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0,hard,operational efficiency,Revenue / Average Trade Receivables,"year,Revenue,TradeReceivables
+2021,168864000000.0,17571000000.0
+2022,120741000000.0,11466000000.0
+2023,122428000000.0,10289000000.0
+2024,122336000000.0,9638000000.0
+","year,Receivables Turnover
+2022,8.316354995350759
+2023,11.255159733394622
+2024,12.27841621920008
+"
+US,fundamental,"Calculate the Payables Turnover of Biogen from 2017 to 2021 and make a year-over-year comparison. How many times was there a YoY increase? (Use the average of beginning and ending trade payables) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,operational efficiency,COGS / Average Trade Payables,"year,CostOfGoodsAndServicesSold,TradePayables
+2016,1478700000.0,279800000.0
+2017,1630000000.0,395500000.0
+2018,1816300000.0,370500000.0
+2019,1955400000.0,530800000.0
+2020,1805200000.0,454900000.0
+2021,2109700000.0,589200000.0
+","year,Payables Turnover
+2017,4.827484081149119
+2018,4.742297650130548
+2019,4.339065793853323
+2020,3.6627777214162522
+2021,4.041183794655685
+"
+US,fundamental,"Within the 2018–2022 window, how many times did International Paper's Payables Turnover increase from one year to the next? (Use the average of beginning and ending trade payables) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,operational efficiency,COGS / Average Trade Payables,"year,CostOfGoodsAndServicesSold,TradePayables
+2017,15300000000.0,2458000000.0
+2018,15555000000.0,2413000000.0
+2019,15268000000.0,2423000000.0
+2020,14373000000.0,2320000000.0
+2021,13832000000.0,2606000000.0
+2022,15143000000.0,2708000000.0
+","year,Payables Turnover
+2018,6.386778895504003
+2019,6.314309346567411
+2020,6.060721062618596
+2021,5.615915550142103
+2022,5.699284907790742
+"
+US,fundamental,"Comparing Electronic Arts's Payables Turnover year by year from 2020 to 2022, how many times did it decrease relative to the preceding year? (Use the average of beginning and ending trade payables) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,operational efficiency,COGS / Average Trade Payables,"year,CostOfGoodsAndServicesSold,TradePayables
+2019,1369000000.0,68000000.0
+2020,1494000000.0,96000000.0
+2021,1859000000.0,101000000.0
+2022,1792000000.0,99000000.0
+","year,Payables Turnover
+2020,18.21951219512195
+2021,18.873096446700508
+2022,17.92
+"
+US,fundamental,"Taking 2017 as the starting reference, how many year-over-year increases occurred in Synopsys's Payables Turnover up to 2019? (Use the average of beginning and ending trade payables) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,operational efficiency,COGS / Average Trade Payables,"year,CostOfGoodsAndServicesSold,TradePayables
+2016,542962000.0,401451000.0
+2017,654184000.0,499846000.0
+2018,735898000.0,578326000.0
+2019,752946000.0,506459000.0
+","year,Payables Turnover
+2017,1.4516502329420824
+2018,1.365084606166734
+2019,1.3881939739210996
+"
+US,fundamental,"For Domino's's Payables Turnover from 2020 to 2022, count the number of YoY decreases between each consecutive pair of years. (Use the average of beginning and ending trade payables) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0,hard,operational efficiency,COGS / Average Trade Payables,"year,CostOfGoodsAndServicesSold,TradePayables
+2019,2216275000.0,111101000.0
+2020,2522918000.0,94499000.0
+2021,2669131000.0,91547000.0
+2022,2888552000.0,89715000.0
+","year,Payables Turnover
+2020,24.542003891050584
+2021,28.69323715640218
+2022,31.871567123831802
+"
+US,fundamental,"Calculate the Total Asset Turnover of DuPont from 2018 to 2020 and make a year-over-year comparison. How many times was there a YoY increase? (Use the average of beginning and ending total assets) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,operational efficiency,Revenue / Average Total Assets,"year,Revenue,Assets
+2017,62484000000.0,192164000000.0
+2018,85977000000.0,188030000000.0
+2019,21512000000.0,69396000000.0
+2020,20397000000.0,70904000000.0
+","year,Total Asset Turnover
+2018,0.4522796256647922
+2019,0.16713152517616714
+2020,0.29076265146115465
+"
+US,fundamental,"Within the 2021–2025 window, how many times did Biogen's Total Asset Turnover increase from one year to the next? (Use the average of beginning and ending total assets) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0,hard,operational efficiency,Revenue / Average Total Assets,"year,Revenue,Assets
+2020,13444600000.0,24618900000.0
+2021,10981700000.0,23877300000.0
+2022,10173400000.0,24554100000.0
+2023,9835600000.0,26844800000.0
+2024,9675900000.0,28049300000.0
+2025,9890600000.0,29439500000.0
+","year,Total Asset Turnover
+2021,0.45288909234125563
+2022,0.42011587523796545
+2023,0.3827163616341984
+2024,0.35252968898296905
+2025,0.3440878919024227
+"
+US,fundamental,"Comparing Tractor Supply's Total Asset Turnover year by year from 2017 to 2021, how many times did it increase relative to the preceding year? (Use the average of beginning and ending total assets) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,operational efficiency,Revenue / Average Total Assets,"year,Revenue,Assets
+2016,6779579000.0,2674942000.0
+2017,7256382000.0,2868769000.0
+2018,7911046000.0,3085262000.0
+2019,8351931000.0,5289268000.0
+2020,10620352000.0,7049116000.0
+2021,12731105000.0,7767467000.0
+","year,Total Asset Turnover
+2017,2.6178788901513808
+2018,2.6573748104435464
+2019,1.9946029209997456
+2020,1.721514259890112
+2021,1.718494068436697
+"
+US,fundamental,"Taking 2022 as the starting reference, how many year-over-year decreases occurred in Rollins's Total Asset Turnover up to 2024? (Use the average of beginning and ending total assets) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0,hard,operational efficiency,Revenue / Average Total Assets,"year,Revenue,Assets
+2021,2424300000.0,1980870000.0
+2022,2695823000.0,2122028000.0
+2023,3073278000.0,2595460000.0
+2024,3388708000.0,2819695000.0
+","year,Total Asset Turnover
+2022,1.3141067606360188
+2023,1.3029298643684943
+2024,1.2515645443205228
+"
+US,fundamental,"For Mettler Toledo's Total Asset Turnover from 2019 to 2023, count the number of YoY increases between each consecutive pair of years. (Use the average of beginning and ending total assets) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,operational efficiency,Revenue / Average Total Assets,"year,Revenue,Assets
+2018,2935586000.0,2618847000.0
+2019,3008652000.0,2789321000.0
+2020,3085177000.0,2814549000.0
+2021,3717930000.0,3326798000.0
+2022,3919709000.0,3492395000.0
+2023,3788309000.0,3355555000.0
+","year,Total Asset Turnover
+2019,1.1126325957329728
+2020,1.1010879981155879
+2021,1.2107864935819455
+2022,1.1496108117192165
+2023,1.1064067348622582
+"
+US,fundamental,"Calculate the Fixed Asset Turnover of Wynn Resorts from 2018 to 2022 and make a year-over-year comparison. How many times was there a YoY increase? (Use the average of beginning and ending fixed assets) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0,hard,operational efficiency,Revenue / Average Net PP&E,"year,Revenue,PlantPropertyEquipmentNet
+2017,6306368000.0,8498756000.0
+2018,6717660000.0,9385920000.0
+2019,6611099000.0,9623832000.0
+2020,2095861000.0,9196644000.0
+2021,3763664000.0,8765308000.0
+2022,3756825000.0,6896060000.0
+","year,Fixed Asset Turnover
+2018,0.7512196474792163
+2019,0.6955481586503601
+2020,0.22272135943851792
+2021,0.41907071124563744
+2022,0.47975694077298997
+"
+US,fundamental,"Within the 2023–2025 window, how many times did PepsiCo's Fixed Asset Turnover increase from one year to the next? (Use the average of beginning and ending fixed assets) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0,hard,operational efficiency,Revenue / Average Net PP&E,"year,Revenue,PlantPropertyEquipmentNet
+2022,86392000000.0,24291000000.0
+2023,91471000000.0,27039000000.0
+2024,91854000000.0,28008000000.0
+2025,93925000000.0,29905000000.0
+","year,Fixed Asset Turnover
+2023,3.564036625754919
+2024,3.337293585481498
+2025,3.243658591335279
+"
+US,fundamental,"Comparing Nasdaq Inc.'s Fixed Asset Turnover year by year from 2021 to 2025, how many times did it decrease relative to the preceding year? (Use the average of beginning and ending fixed assets) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.0,hard,operational efficiency,Revenue / Average Net PP&E,"year,Revenue,PlantPropertyEquipmentNet
+2020,5627000000.0,475000000.0
+2021,5886000000.0,509000000.0
+2022,6226000000.0,532000000.0
+2023,6064000000.0,576000000.0
+2024,7400000000.0,593000000.0
+2025,8262000000.0,728000000.0
+","year,Fixed Asset Turnover
+2021,11.963414634146341
+2022,11.961575408261288
+2023,10.945848375451263
+2024,12.660393498716852
+2025,12.508705526116579
+"
+US,fundamental,"Taking 2020 as the starting reference, how many year-over-year increases occurred in Nike's Fixed Asset Turnover up to 2024? (Use the average of beginning and ending fixed assets) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.0,hard,operational efficiency,Revenue / Average Net PP&E,"year,Revenue,PlantPropertyEquipmentNet
+2019,39117000000.0,4744000000.0
+2020,37403000000.0,4866000000.0
+2021,44538000000.0,4904000000.0
+2022,46710000000.0,4791000000.0
+2023,51217000000.0,5081000000.0
+2024,51362000000.0,5000000000.0
+","year,Fixed Asset Turnover
+2020,7.784183142559834
+2021,9.117297850562947
+2022,9.635894791129449
+2023,10.376215559157213
+2024,10.189862116853487
+"
+US,fundamental,"For Hewlett Packard Enterprise's Fixed Asset Turnover from 2018 to 2022, count the number of YoY decreases between each consecutive pair of years. (Use the average of beginning and ending fixed assets) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0,hard,operational efficiency,Revenue / Average Net PP&E,"year,Revenue,PlantPropertyEquipmentNet
+2017,28871000000.0,6269000000.0
+2018,30852000000.0,6138000000.0
+2019,29135000000.0,6054000000.0
+2020,26982000000.0,5625000000.0
+2021,27784000000.0,5613000000.0
+2022,28496000000.0,5784000000.0
+","year,Fixed Asset Turnover
+2018,4.973321512049649
+2019,4.779363517060368
+2020,4.620601078859491
+2021,4.944652073322655
+2022,5.000614196718435
+"
+US,fundamental,"Calculate the Working Capital Turnover of Wabtec from 2021 to 2025 and make a year-over-year comparison. How many times was there a YoY decrease? (Use the average of beginning and ending net working capital) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0,hard,operational efficiency,Revenue / Average Net Working Capital,"year,Revenue,CurrentAssetsTotal,CurrentLiabilitiesTotal
+2020,7556100000.0,3879800000.0,3226300000.0
+2021,7822000000.0,3832000000.0,2910000000.0
+2022,8362000000.0,4327000000.0,3467000000.0
+2023,9677000000.0,4855000000.0,4056000000.0
+2024,10387000000.0,4943000000.0,3792000000.0
+2025,11167000000.0,5694000000.0,5150000000.0
+","year,Working Capital Turnover
+2021,9.929546175817201
+2022,9.384960718294051
+2023,11.666063893911994
+2024,10.653333333333334
+2025,13.176401179941003
+"
+US,fundamental,"Within the 2021–2023 window, how many times did Baker Hughes's Working Capital Turnover decrease from one year to the next? (Use the average of beginning and ending net working capital) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0,hard,operational efficiency,Revenue / Average Net Working Capital,"year,Revenue,CurrentAssetsTotal,CurrentLiabilitiesTotal
+2020,20705000000.0,16455000000.0,10227000000.0
+2021,20502000000.0,15065000000.0,9128000000.0
+2022,21156000000.0,14592000000.0,11075000000.0
+2023,25506000000.0,16301000000.0,12991000000.0
+","year,Working Capital Turnover
+2021,3.3706535141800247
+2022,4.4755658980325785
+2023,7.472096089058152
+"
+US,fundamental,"Comparing Martin Marietta Materials's Working Capital Turnover year by year from 2021 to 2023, how many times did it increase relative to the preceding year? (Use the average of beginning and ending net working capital) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,operational efficiency,Revenue / Average Net Working Capital,"year,Revenue,CurrentAssetsTotal,CurrentLiabilitiesTotal
+2020,4729900000.0,1668300000.0,499300000.0
+2021,5414000000.0,2025600000.0,752600000.0
+2022,6160700000.0,2876900000.0,1445600000.0
+2023,6777200000.0,3918900000.0,1170200000.0
+","year,Working Capital Turnover
+2021,4.434070434070434
+2022,4.5562252708649185
+2023,3.2426794258373204
+"
+US,fundamental,"Taking 2018 as the starting reference, how many year-over-year increases occurred in Honeywell's Working Capital Turnover up to 2020? (Use the average of beginning and ending net working capital) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0,hard,operational efficiency,Revenue / Average Net Working Capital,"year,Revenue,CurrentAssetsTotal,CurrentLiabilitiesTotal
+2017,40534000000.0,26002000000.0,18861000000.0
+2018,41802000000.0,24362000000.0,18924000000.0
+2019,36709000000.0,24303000000.0,18098000000.0
+2020,32637000000.0,28175000000.0,19197000000.0
+","year,Working Capital Turnover
+2018,6.646315287383735
+2019,6.305763119470927
+2020,4.299150365540407
+"
+US,fundamental,"For Viatris's Working Capital Turnover from 2021 to 2025, count the number of YoY increases between each consecutive pair of years. (Use the average of beginning and ending net working capital) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,operational efficiency,Revenue / Average Net Working Capital,"year,Revenue,CurrentAssetsTotal,CurrentLiabilitiesTotal
+2020,11946000000.0,12867500000.0,10562900000.0
+2021,17886300000.0,10902900000.0,9884400000.0
+2022,16262700000.0,10635400000.0,6746200000.0
+2023,15426900000.0,12976100000.0,7777400000.0
+2024,14739300000.0,9520700000.0,5779400000.0
+2025,14299900000.0,9789200000.0,7094300000.0
+","year,Working Capital Turnover
+2021,10.764828022027626
+2022,6.627422214071765
+2023,3.39504175882217
+2024,3.2973825503355703
+2025,4.44358472390541
+"
+US,fundamental,"Calculate the Current Ratio of Visa Inc. from 2020 to 2024 and make a year-over-year comparison. How many times was there a YoY decrease? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.0,hard,solvency,Current Assets / Current Liabilities,"year,CurrentAssetsTotal,CurrentLiabilitiesTotal
+2020,27645000000.0,14510000000.0
+2021,27607000000.0,15739000000.0
+2022,30205000000.0,20853000000.0
+2023,33532000000.0,23098000000.0
+2024,34033000000.0,26517000000.0
+","year,Current Ratio
+2020,1.9052377670572018
+2021,1.754050447931889
+2022,1.4484726418261162
+2023,1.451727422287644
+2024,1.2834408115548517
+"
+US,fundamental,"Within the 2018–2022 window, how many times did Trimble Inc.'s Current Ratio increase from one year to the next? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,solvency,Current Assets / Current Liabilities,"year,CurrentAssetsTotal,CurrentLiabilitiesTotal
+2018,1089100000.0,1055200000.0
+2019,1211800000.0,1190300000.0
+2020,1281400000.0,1311300000.0
+2021,1450600000.0,1188600000.0
+2022,1518200000.0,1462100000.0
+","year,Current Ratio
+2018,1.0321266110689917
+2019,1.0180626732756448
+2020,0.9771982002592847
+2021,1.2204273935722698
+2022,1.038369468572601
+"
+US,fundamental,"Comparing Old Dominion's Current Ratio year by year from 2018 to 2022, how many times did it decrease relative to the preceding year? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0,hard,solvency,Current Assets / Current Liabilities,"year,CurrentAssetsTotal,CurrentLiabilitiesTotal
+2018,706229000.0,356732000.0
+2019,866834000.0,366085000.0
+2020,1243339000.0,373130000.0
+2021,1383787000.0,464234000.0
+2022,933740000.0,529793000.0
+","year,Current Ratio
+2018,1.9797186683560768
+2019,2.367848996817679
+2020,3.332187173371211
+2021,2.980796322544234
+2022,1.7624619426832744
+"
+US,fundamental,"Taking 2023 as the starting reference, how many year-over-year increases occurred in American Water Works's Current Ratio up to 2025? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,solvency,Current Assets / Current Liabilities,"year,CurrentAssetsTotal,CurrentLiabilitiesTotal
+2023,1389000000.0,2151000000.0
+2024,1215000000.0,3150000000.0
+2025,2191000000.0,4747000000.0
+","year,Current Ratio
+2023,0.6457461645746164
+2024,0.38571428571428573
+2025,0.46155466610490836
+"
+US,fundamental,"For Seagate Technology's Current Ratio from 2020 to 2022, count the number of YoY increases between each consecutive pair of years. According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0,hard,solvency,Current Assets / Current Liabilities,"year,CurrentAssetsTotal,CurrentLiabilitiesTotal
+2020,4114000000.0,2722000000.0
+2021,3779000000.0,2921000000.0
+2022,4033000000.0,3555000000.0
+","year,Current Ratio
+2020,1.511388684790595
+2021,1.2937350222526531
+2022,1.1344585091420534
+"
+US,fundamental,"Calculate the Quick Ratio of Freeport-McMoRan from 2016 to 2018 and make a year-over-year comparison. How many times was there a YoY increase? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,solvency,(Current Assets - Inventory) / Current Liabilities,"year,CurrentAssetsTotal,CurrentLiabilitiesTotal,Inventories
+2016,10435000000.0,4265000000.0,1306000000.0
+2017,10779000000.0,5038000000.0,1305000000.0
+2018,10720000000.0,3329000000.0,1528000000.0
+","year,Quick Ratio
+2016,2.1404454865181712
+2017,1.8805081381500595
+2018,2.7611895464103333
+"
+US,fundamental,"Within the 2018–2022 window, how many times did Danaher Corporation's Quick Ratio decrease from one year to the next? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0,hard,solvency,(Current Assets - Inventory) / Current Liabilities,"year,CurrentAssetsTotal,CurrentLiabilitiesTotal,Inventories
+2018,7093800000.0,4841500000.0,1910100000.0
+2019,25596600000.0,4932100000.0,1628300000.0
+2020,13802000000.0,7402000000.0,2292000000.0
+2021,11648000000.0,8140000000.0,2767000000.0
+2022,15883000000.0,8389000000.0,3110000000.0
+","year,Quick Ratio
+2018,1.07068057420221
+2019,4.859654102714868
+2020,1.5549851391515808
+2021,1.0910319410319411
+2022,1.522589104780069
+"
+US,fundamental,"Comparing 3M's Quick Ratio year by year from 2017 to 2021, how many times did it decrease relative to the preceding year? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.0,hard,solvency,(Current Assets - Inventory) / Current Liabilities,"year,CurrentAssetsTotal,CurrentLiabilitiesTotal,Inventories
+2017,14277000000.0,7687000000.0,4034000000.0
+2018,13709000000.0,7244000000.0,4366000000.0
+2019,12971000000.0,9222000000.0,4134000000.0
+2020,14982000000.0,7948000000.0,4239000000.0
+2021,15403000000.0,9035000000.0,4985000000.0
+","year,Quick Ratio
+2017,1.3325094315077404
+2018,1.2897570403092213
+2019,0.9582520060724354
+2020,1.351660795168596
+2021,1.153071389042612
+"
+US,fundamental,"Taking 2018 as the starting reference, how many year-over-year increases occurred in Arista Networks's Quick Ratio up to 2020? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,solvency,(Current Assets - Inventory) / Current Liabilities,"year,CurrentAssetsTotal,CurrentLiabilitiesTotal,Inventories
+2018,2714802000.0,606504000.0,264557000.0
+2019,3471636000.0,597074000.0,243825000.0
+2020,3836998000.0,768243000.0,479668000.0
+","year,Quick Ratio
+2018,4.039948623586984
+2019,5.406048496501271
+2020,4.370140697669878
+"
+US,fundamental,"For Molson Coors Beverage Company's Quick Ratio from 2016 to 2018, count the number of YoY decreases between each consecutive pair of years. According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,solvency,(Current Assets - Inventory) / Current Liabilities,"year,CurrentAssetsTotal,CurrentLiabilitiesTotal,Inventories
+2016,2169600000.0,3157500000.0,592700000.0
+2017,2189700000.0,3399300000.0,591500000.0
+2018,2766300000.0,4300900000.0,591800000.0
+","year,Quick Ratio
+2016,0.4994140934283452
+2017,0.47015562027476243
+2018,0.5055918528680043
+"
+US,fundamental,"Calculate the Cash Ratio of Eversource Energy from 2019 to 2021 and make a year-over-year comparison. How many times was there a YoY increase? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,solvency,(Cash + Short-Term Investments) / Current Liabilities,"year,CashAndMarketableSecurities,ShortTermInvestments,CurrentLiabilitiesTotal
+2019,15432000.0,0.0,3605563000.0
+2020,106599000.0,0.0,4915012000.0
+2021,66773000.0,0.0,5847039000.0
+","year,Cash Ratio
+2019,0.004280052796192994
+2020,0.021688451625346997
+2021,0.011419968295063535
+"
+US,fundamental,"Within the 2020–2022 window, how many times did First Solar's Cash Ratio increase from one year to the next? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,solvency,(Cash + Short-Term Investments) / Current Liabilities,"year,CashAndMarketableSecurities,ShortTermInvestments,CurrentLiabilitiesTotal
+2020,1227002000.0,520066000.0,847398000.0
+2021,1450654000.0,375389000.0,726878000.0
+2022,1481269000.0,1096712000.0,1038048000.0
+","year,Cash Ratio
+2020,2.0616853001777207
+2021,2.512172606682277
+2022,2.483489202811431
+"
+US,fundamental,"Comparing Meta Platforms's Cash Ratio year by year from 2021 to 2025, how many times did it decrease relative to the preceding year? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0,hard,solvency,(Cash + Short-Term Investments) / Current Liabilities,"year,CashAndMarketableSecurities,ShortTermInvestments,CurrentLiabilitiesTotal
+2021,16601000000.0,31397000000.0,21135000000.0
+2022,14681000000.0,26057000000.0,27026000000.0
+2023,41862000000.0,23541000000.0,31960000000.0
+2024,43889000000.0,33926000000.0,33596000000.0
+2025,35873000000.0,45719000000.0,41836000000.0
+","year,Cash Ratio
+2021,2.2710196356754198
+2022,1.5073632798046326
+2023,2.046401752190238
+2024,2.3161983569472557
+2025,1.9502820537336265
+"
+US,fundamental,"Taking 2018 as the starting reference, how many year-over-year decreases occurred in Air Products's Cash Ratio up to 2020? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0,hard,solvency,(Cash + Short-Term Investments) / Current Liabilities,"year,CashAndMarketableSecurities,ShortTermInvestments,CurrentLiabilitiesTotal
+2018,2791300000.0,184700000.0,2338300000.0
+2019,2248700000.0,166000000.0,1820900000.0
+2020,5253000000.0,1104900000.0,2416700000.0
+","year,Cash Ratio
+2018,1.2727194970705213
+2019,1.3261024767971883
+2020,2.630818885256755
+"
+US,fundamental,"For Skyworks Solutions's Cash Ratio from 2016 to 2018, count the number of YoY increases between each consecutive pair of years. According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0,hard,solvency,(Cash + Short-Term Investments) / Current Liabilities,"year,CashAndMarketableSecurities,ShortTermInvestments,CurrentLiabilitiesTotal
+2016,1083800000.0,0.0,210200000.0
+2017,1616800000.0,0.0,387900000.0
+2018,733300000.0,294100000.0,389700000.0
+","year,Cash Ratio
+2016,5.156041864890581
+2017,4.1680845578757415
+2018,2.636386964331537
+"
+US,fundamental,"Calculate the Liability-to-Asset Ratio of Hershey Company (The) from 2018 to 2022 and make a year-over-year comparison. How many times was there a YoY increase? (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0,hard,solvency,Total Liabilities / Total Assets * 100%,"year,Liabilities,Assets
+2018,6295754000.0,7703020000.0
+2019,6395401000.0,8140395000.0
+2020,6893962000.0,9131845000.0
+2021,7655002000.0,10412231000.0
+2022,7649276000.0,10948820000.0
+","year,Liability-to-Asset Ratio
+2018,81.73098343247193
+2019,78.56376748302755
+2020,75.49363792311411
+2021,73.51932549325885
+2022,69.86393054228674
+"
+US,fundamental,"Within the 2017–2021 window, how many times did Ball Corporation's Liability-to-Asset Ratio increase from one year to the next? (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0,hard,solvency,Total Liabilities / Total Assets * 100%,"year,Liabilities,Assets
+2017,13123000000.0,17169000000.0
+2018,12992000000.0,16554000000.0
+2019,14341000000.0,17360000000.0
+2020,14915000000.0,18252000000.0
+2021,16029000000.0,19714000000.0
+","year,Liability-to-Asset Ratio
+2017,76.43427106995165
+2018,78.48254198381056
+2019,82.6094470046083
+2020,81.71707210168748
+2021,81.30770011159582
+"
+US,fundamental,"Comparing Cigna's Liability-to-Asset Ratio year by year from 2018 to 2022, how many times did it increase relative to the preceding year? (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,solvency,Total Liabilities / Total Assets * 100%,"year,Liabilities,Assets
+2018,112154000000.0,153226000000.0
+2019,110395000000.0,155774000000.0
+2020,105065000000.0,155451000000.0
+2021,107705000000.0,154889000000.0
+2022,98981000000.0,143932000000.0
+","year,Liability-to-Asset Ratio
+2018,73.19514964823203
+2019,70.8686943905915
+2020,67.58721397739481
+2021,69.53689416291667
+2022,68.76927993774838
+"
+US,fundamental,"Taking 2016 as the starting reference, how many year-over-year increases occurred in Travelers Companies (The)'s Liability-to-Asset Ratio up to 2020? (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0,hard,solvency,Total Liabilities / Total Assets * 100%,"year,Liabilities,Assets
+2016,77024000000.0,100245000000.0
+2017,79752000000.0,103483000000.0
+2018,81339000000.0,104233000000.0
+2019,84179000000.0,110122000000.0
+2020,87563000000.0,116764000000.0
+","year,Liability-to-Asset Ratio
+2016,76.83575240660382
+2017,77.06773093165062
+2018,78.03574683641456
+2019,76.4415829716133
+2020,74.99143571648797
+"
+US,fundamental,"For Vulcan Materials Company's Liability-to-Asset Ratio from 2019 to 2023, count the number of YoY decreases between each consecutive pair of years. (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0,hard,solvency,Total Liabilities / Total Assets * 100%,"year,Liabilities,Assets
+2019,5026936000.0,10648793000.0
+2020,5659575000.0,11686905000.0
+2021,7114900000.0,13682600000.0
+2022,7282400000.0,14234600000.0
+2023,7037800000.0,14545700000.0
+","year,Liability-to-Asset Ratio
+2019,47.20662707970753
+2020,48.42663647903358
+2021,51.99961995527166
+2022,51.159849943096404
+2023,48.38405851901249
+"
+US,fundamental,"Calculate the Liability-to-Equity Ratio of Newmont from 2020 to 2024 and make a year-over-year comparison. How many times was there a YoY increase? (Indicator unit: %; Total equity includes minority interest) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0,hard,solvency,Total Liabilities / Total Equity * 100%,"year,Liabilities,AllEquityBalanceIncludingMinorityInterest
+2020,17490000000.0,23845000000.0
+2021,18703000000.0,21813000000.0
+2022,18949000000.0,19533000000.0
+2023,26301000000.0,29205000000.0
+2024,26240000000.0,30109000000.0
+","year,Liability-to-Equity Ratio
+2020,73.348710421472
+2021,85.74244716453491
+2022,97.01018788716532
+2023,90.05649717514125
+2024,87.15002158822944
+"
+US,fundamental,"Within the 2017–2019 window, how many times did Southern Company's Liability-to-Equity Ratio increase from one year to the next? (Indicator unit: %; Total equity includes minority interest) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0,hard,solvency,Total Liabilities / Total Equity * 100%,"year,Liabilities,AllEquityBalanceIncludingMinorityInterest
+2017,85153000000.0,25528000000.0
+2018,87584000000.0,29039000000.0
+2019,86650000000.0,31759000000.0
+","year,Liability-to-Equity Ratio
+2017,333.5670636164212
+2018,301.60818209993454
+2019,272.83604647501494
+"
+US,fundamental,"Comparing Raymond James Financial's Liability-to-Equity Ratio year by year from 2021 to 2025, how many times did it increase relative to the preceding year? (Indicator unit: %; Total equity includes minority interest) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,solvency,Total Liabilities / Total Equity * 100%,"year,Liabilities,AllEquityBalanceIncludingMinorityInterest
+2021,53588000000.0,8303000000.0
+2022,71519000000.0,9432000000.0
+2023,68173000000.0,10187000000.0
+2024,71325000000.0,11667000000.0
+2025,75726000000.0,12504000000.0
+","year,Liability-to-Equity Ratio
+2021,645.4052752017343
+2022,758.2591178965225
+2023,669.2156670266025
+2024,611.3396760092569
+2025,605.6142034548944
+"
+US,fundamental,"Taking 2023 as the starting reference, how many year-over-year decreases occurred in Essex Property Trust's Liability-to-Equity Ratio up to 2025? (Indicator unit: %; Total equity includes minority interest) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0,hard,solvency,Total Liabilities / Total Equity * 100%,"year,Liabilities,AllEquityBalanceIncludingMinorityInterest
+2023,6735244000.0,5593978000.0
+2024,7176120000.0,5720390000.0
+2025,7422114000.0,5708632000.0
+","year,Liability-to-Equity Ratio
+2023,120.4016891021023
+2024,125.44809007777442
+2025,130.0156324667626
+"
+US,fundamental,"For Ecolab's Liability-to-Equity Ratio from 2019 to 2021, count the number of YoY decreases between each consecutive pair of years. (Indicator unit: %; Total equity includes minority interest) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0,hard,solvency,Total Liabilities / Total Equity * 100%,"year,Liabilities,AllEquityBalanceIncludingMinorityInterest
+2019,12143300000.0,8725800000.0
+2020,11924500000.0,6201500000.0
+2021,13953300000.0,7253100000.0
+","year,Liability-to-Equity Ratio
+2019,139.16546333860506
+2020,192.28412480851406
+2021,192.37705257062498
+"
+US,fundamental,"Calculate the Net Debt to Equity of IBM from 2020 to 2022 and make a year-over-year comparison. How many times was there a YoY decrease? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,solvency,Net Debt / Total Equity; Net Debt = Total Debt (short + long-term debt + operating lease liabilities) - Cash - Short-Term Investments,"year,ShortTermDebt,LongTermDebt,OperatingLeaseCurrentDebtEquivalent,OperatingLeaseNonCurrentDebtEquivalent,CashAndMarketableSecurities,ShortTermInvestments,AllEquityBalanceIncludingMinorityInterest
+2020,7183000000.0,54355000000.0,1357000000.0,3574000000.0,13212000000.0,600000000.0,20727000000.0
+2021,6787000000.0,44917000000.0,974000000.0,2462000000.0,6650000000.0,0.0,18996000000.0
+2022,4760000000.0,46189000000.0,874000000.0,2190000000.0,7886000000.0,0.0,22021000000.0
+","year,Net Debt to Equity
+2020,2.5405027259130604
+2021,2.552642661612971
+2022,2.0946823486671815
+"
+US,fundamental,"Within the 2022–2024 window, how many times did 3M's Net Debt to Equity decrease from one year to the next? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,solvency,Net Debt / Total Equity; Net Debt = Total Debt (short + long-term debt + operating lease liabilities) - Cash - Short-Term Investments,"year,ShortTermDebt,LongTermDebt,OperatingLeaseCurrentDebtEquivalent,OperatingLeaseNonCurrentDebtEquivalent,CashAndMarketableSecurities,ShortTermInvestments,AllEquityBalanceIncludingMinorityInterest
+2022,1938000000.0,14001000000.0,261000000.0,580000000.0,238000000.0,0.0,14770000000.0
+2023,2947000000.0,13088000000.0,225000000.0,534000000.0,53000000.0,0.0,4868000000.0
+2024,1919000000.0,11125000000.0,163000000.0,405000000.0,2128000000.0,0.0,3894000000.0
+","year,Net Debt to Equity
+2022,1.1199729180771836
+2023,3.4389893179950697
+2024,2.9491525423728815
+"
+US,fundamental,"Comparing United Parcel Service's Net Debt to Equity year by year from 2017 to 2021, how many times did it increase relative to the preceding year? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0,hard,solvency,Net Debt / Total Equity; Net Debt = Total Debt (short + long-term debt + operating lease liabilities) - Cash - Short-Term Investments,"year,ShortTermDebt,LongTermDebt,OperatingLeaseCurrentDebtEquivalent,OperatingLeaseNonCurrentDebtEquivalent,CashAndMarketableSecurities,ShortTermInvestments,AllEquityBalanceIncludingMinorityInterest
+2017,4011000000.0,20278000000.0,0.0,0.0,3320000000.0,749000000.0,1030000000.0
+2018,2805000000.0,19931000000.0,0.0,0.0,4225000000.0,810000000.0,3037000000.0
+2019,3420000000.0,21818000000.0,538000000.0,2391000000.0,5238000000.0,503000000.0,3283000000.0
+2020,2623000000.0,22031000000.0,560000000.0,2540000000.0,5910000000.0,406000000.0,669000000.0
+2021,0.0,19784000000.0,580000000.0,3033000000.0,10255000000.0,338000000.0,14269000000.0
+","year,Net Debt to Equity
+2017,19.631067961165048
+2018,5.828449127428383
+2019,6.8309473042948525
+2020,32.044843049327355
+2021,0.8973298759548672
+"
+US,fundamental,"Taking 2019 as the starting reference, how many year-over-year decreases occurred in American Electric Power's Net Debt to Equity up to 2021? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,solvency,Net Debt / Total Equity; Net Debt = Total Debt (short + long-term debt + operating lease liabilities) - Cash - Short-Term Investments,"year,ShortTermDebt,LongTermDebt,OperatingLeaseCurrentDebtEquivalent,OperatingLeaseNonCurrentDebtEquivalent,CashAndMarketableSecurities,ShortTermInvestments,AllEquityBalanceIncludingMinorityInterest
+2019,2838300000.0,25126800000.0,234100000.0,734600000.0,246800000.0,202700000.0,19913200000.0
+2020,2479300000.0,28986400000.0,241300000.0,638400000.0,392700000.0,200800000.0,20774500000.0
+2021,2614000000.0,31300700000.0,97600000.0,492800000.0,403400000.0,220400000.0,22680200000.0
+","year,Net Debt to Equity
+2019,1.4304230359761365
+2020,1.5284074225613131
+2021,1.493871306249504
+"
+US,fundamental,"For Moody's Corporation's Net Debt to Equity from 2018 to 2022, count the number of YoY decreases between each consecutive pair of years. According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.0,hard,solvency,Net Debt / Total Equity; Net Debt = Total Debt (short + long-term debt + operating lease liabilities) - Cash - Short-Term Investments,"year,ShortTermDebt,LongTermDebt,OperatingLeaseCurrentDebtEquivalent,OperatingLeaseNonCurrentDebtEquivalent,CashAndMarketableSecurities,ShortTermInvestments,AllEquityBalanceIncludingMinorityInterest
+2018,0.0,5226100000.0,0.0,0.0,1685000000.0,132500000.0,656500000.0
+2019,0.0,5581000000.0,89000000.0,485000000.0,1832000000.0,98000000.0,831000000.0
+2020,0.0,6422000000.0,94000000.0,427000000.0,2597000000.0,99000000.0,1763000000.0
+2021,0.0,7413000000.0,105000000.0,455000000.0,1811000000.0,91000000.0,2916000000.0
+2022,0.0,7389000000.0,106000000.0,368000000.0,1769000000.0,90000000.0,2689000000.0
+","year,Net Debt to Equity
+2018,5.192079207920792
+2019,5.084235860409145
+2020,2.40896199659671
+2021,2.0819615912208507
+2022,2.2328002975083674
+"
+US,fundamental,"Calculate the Interest Coverage Ratio of Equinix from 2020 to 2024 and make a year-over-year comparison. How many times was there a YoY decrease? ( Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,solvency,EBIT / Interest Expense = (Pretax Income + Interest Expense) / Interest Expense,"year,PretaxIncomeLoss,InterestExpense
+2020,516225000.0,498408000.0
+2021,608952000.0,426439000.0
+2022,829369000.0,430217000.0
+2023,1124230000.0,471456000.0
+2024,975000000.0,486000000.0
+","year,Interest Coverage Ratio
+2020,2.0357478210622624
+2021,2.427993218256304
+2022,2.9277922536766328
+2023,3.3845915631575374
+2024,3.006172839506173
+"
+US,fundamental,"Within the 2020–2022 window, how many times did Amcor's Interest Coverage Ratio increase from one year to the next? ( Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,solvency,EBIT / Interest Expense = (Pretax Income + Interest Expense) / Interest Expense,"year,PretaxIncomeLoss,InterestExpense
+2020,825200000.0,206900000.0
+2021,1193000000.0,153000000.0
+2022,1115000000.0,159000000.0
+","year,Interest Coverage Ratio
+2020,4.988400193330111
+2021,8.797385620915033
+2022,8.0125786163522
+"
+US,fundamental,"Comparing Paychex's Interest Coverage Ratio year by year from 2017 to 2019, how many times did it increase relative to the preceding year? ( Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,solvency,EBIT / Interest Expense = (Pretax Income + Interest Expense) / Interest Expense,"year,PretaxIncomeLoss,InterestExpense
+2017,1244800000.0,5200000.0
+2018,1296100000.0,8600000.0
+2019,1368000000.0,3300000.0
+","year,Interest Coverage Ratio
+2017,240.3846153846154
+2018,151.7093023255814
+2019,415.54545454545456
+"
+US,fundamental,"Taking 2020 as the starting reference, how many year-over-year increases occurred in Hartford (The)'s Interest Coverage Ratio up to 2024? ( Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.0,hard,solvency,EBIT / Interest Expense = (Pretax Income + Interest Expense) / Interest Expense,"year,PretaxIncomeLoss,InterestExpense
+2020,2120000000.0,236000000.0
+2021,2896000000.0,234000000.0
+2022,2258000000.0,213000000.0
+2023,3088000000.0,199000000.0
+2024,3849000000.0,199000000.0
+","year,Interest Coverage Ratio
+2020,9.983050847457626
+2021,13.376068376068377
+2022,11.60093896713615
+2023,16.517587939698494
+2024,20.34170854271357
+"
+US,fundamental,"For Keurig Dr Pepper's Interest Coverage Ratio from 2021 to 2025, count the number of YoY increases between each consecutive pair of years. ( Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0,hard,solvency,EBIT / Interest Expense = (Pretax Income + Interest Expense) / Interest Expense,"year,PretaxIncomeLoss,InterestExpense
+2021,2798000000.0,477000000.0
+2022,1719000000.0,363000000.0
+2023,2757000000.0,443000000.0
+2024,1914000000.0,735000000.0
+2025,2687000000.0,754000000.0
+","year,Interest Coverage Ratio
+2021,6.865828092243187
+2022,5.735537190082645
+2023,7.223476297968397
+2024,3.6040816326530614
+2025,4.563660477453581
+"
+US,fundamental,"Calculate the Net Debt to EBITDA of Cognizant from 2021 to 2025 and make a year-over-year comparison. How many times was there a YoY decrease? ( Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,solvency,Net Debt / EBITDA; Net Debt = Total Debt (short + long-term debt + operating lease liabilities) - Cash - Short-Term Investments; EBITDA = Pretax Income + Interest Expense + D&A,"year,ShortTermDebt,LongTermDebt,OperatingLeaseCurrentDebtEquivalent,OperatingLeaseNonCurrentDebtEquivalent,CashAndMarketableSecurities,ShortTermInvestments,PretaxIncomeLoss,InterestExpense,Depreciation & Amortization
+2021,38000000.0,626000000.0,195000000.0,783000000.0,1792000000.0,927000000.0,2827000000.0,9000000.0,574000000.0
+2022,8000000.0,638000000.0,174000000.0,714000000.0,2191000000.0,310000000.0,3016000000.0,19000000.0,569000000.0
+2023,33000000.0,606000000.0,153000000.0,523000000.0,2621000000.0,14000000.0,2787000000.0,41000000.0,519000000.0
+2024,33000000.0,875000000.0,152000000.0,420000000.0,2231000000.0,12000000.0,2938000000.0,54000000.0,529000000.0
+2025,33000000.0,543000000.0,153000000.0,423000000.0,1901000000.0,13000000.0,3479000000.0,37000000.0,550000000.0
+","year,Net Debt to EBITDA
+2021,-0.3158357771260997
+2022,-0.2683129855715871
+2023,-0.39438302957872723
+2024,-0.21669980119284293
+2025,-0.18740777176586326
+"
+US,fundamental,"Within the 2023–2025 window, how many times did Autodesk's Net Debt to EBITDA decrease from one year to the next? ( Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,solvency,Net Debt / EBITDA; Net Debt = Total Debt (short + long-term debt + operating lease liabilities) - Cash - Short-Term Investments; EBITDA = Pretax Income + Interest Expense + D&A,"year,ShortTermDebt,LongTermDebt,OperatingLeaseCurrentDebtEquivalent,OperatingLeaseNonCurrentDebtEquivalent,CashAndMarketableSecurities,ShortTermInvestments,PretaxIncomeLoss,InterestExpense,DepreciationExpense,AmortizationOfIntangibles
+2023,0.0,2284000000.0,67000000.0,275000000.0,1892000000.0,354000000.0,1136000000.0,69000000.0,139000000.0,42000000.0
+2024,300000000.0,1987000000.0,58000000.0,214000000.0,1599000000.0,287000000.0,1384000000.0,69000000.0,180000000.0,49000000.0
+2025,0.0,2483000000.0,52000000.0,199000000.0,2249000000.0,348000000.0,1603000000.0,76000000.0,195000000.0,53000000.0
+","year,Net Debt to EBITDA
+2023,0.2741702741702742
+2024,0.4001189060642093
+2025,0.07109496626881162
+"
+US,fundamental,"Comparing Equinix's Net Debt to EBITDA year by year from 2020 to 2022, how many times did it decrease relative to the preceding year? ( Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,solvency,Net Debt / EBITDA; Net Debt = Total Debt (short + long-term debt + operating lease liabilities) - Cash - Short-Term Investments; EBITDA = Pretax Income + Interest Expense + D&A,"year,ShortTermDebt,LongTermDebt,OperatingLeaseCurrentDebtEquivalent,OperatingLeaseNonCurrentDebtEquivalent,CashAndMarketableSecurities,ShortTermInvestments,PretaxIncomeLoss,InterestExpense,DepreciationExpense,AmortizationOfIntangibles
+2020,150186000.0,9018277000.0,154207000.0,1308627000.0,1604869000.0,4532000.0,516225000.0,498408000.0,1224322000.0,199047000.0
+2021,0.0,10984144000.0,144029000.0,1107180000.0,1536358000.0,0.0,608952000.0,426439000.0,1450806000.0,205484000.0
+2022,151420000.0,12109539000.0,139538000.0,1272812000.0,1906421000.0,0.0,829369000.0,430217000.0,1531453000.0,204755000.0
+","year,Net Debt to EBITDA
+2020,3.700528547556565
+2021,3.974837657211237
+2022,3.9278027794968544
+"
+US,fundamental,"Taking 2016 as the starting reference, how many year-over-year increases occurred in Starbucks's Net Debt to EBITDA up to 2020? ( Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.0,hard,solvency,Net Debt / EBITDA; Net Debt = Total Debt (short + long-term debt + operating lease liabilities) - Cash - Short-Term Investments; EBITDA = Pretax Income + Interest Expense + D&A,"year,ShortTermDebt,LongTermDebt,OperatingLeaseCurrentDebtEquivalent,OperatingLeaseNonCurrentDebtEquivalent,CashAndMarketableSecurities,ShortTermInvestments,PretaxIncomeLoss,InterestExpense,Depreciation & Amortization
+2016,0.0,3202200000.0,0.0,0.0,2128800000.0,134400000.0,4198600000.0,81300000.0,1030100000.0
+2017,0.0,3932600000.0,0.0,0.0,2462300000.0,228600000.0,4317500000.0,92500000.0,1067100000.0
+2018,0.0,9090200000.0,0.0,0.0,8756300000.0,181500000.0,5780000000.0,170300000.0,1305900000.0
+2019,0.0,11167000000.0,0.0,0.0,2686600000.0,70500000.0,4466200000.0,331000000.0,1449300000.0
+2020,438800000.0,14659600000.0,1248800000.0,7661700000.0,4350900000.0,281200000.0,1164400000.0,437000000.0,1503200000.0
+","year,Net Debt to EBITDA
+2016,0.1768361581920904
+2017,0.22670756422194227
+2018,0.021002728700972962
+2019,1.3463379492515808
+2020,6.241319332603234
+"
+US,fundamental,"For EPAM Systems's Net Debt to EBITDA from 2020 to 2022, count the number of YoY decreases between each consecutive pair of years. ( Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,solvency,Net Debt / EBITDA; Net Debt = Total Debt (short + long-term debt + operating lease liabilities) - Cash - Short-Term Investments; EBITDA = Pretax Income + Interest Expense + D&A,"year,ShortTermDebt,LongTermDebt,OperatingLeaseCurrentDebtEquivalent,OperatingLeaseNonCurrentDebtEquivalent,CashAndMarketableSecurities,ShortTermInvestments,PretaxIncomeLoss,InterestExpense,Depreciation & Amortization
+2020,0.0,25038000.0,60759000.0,180604000.0,1322143000.0,0.0,378479000.0,425000.0,62874000.0
+2021,16018000.0,30234000.0,50104000.0,142802000.0,1446625000.0,0.0,533392000.0,413000.0,83395000.0
+2022,2861000.0,27693000.0,40352000.0,122317000.0,1681344000.0,0.0,507258000.0,1659000.0,92272000.0
+","year,Net Debt to EBITDA
+2020,-2.3897568461987695
+2021,-1.9563626053143228
+2022,-2.475296454193274
+"
+US,fundamental,"Calculate the Revenue Growth of Johnson Controls from 2020 to 2024 and make a year-over-year comparison. How many times was there a YoY increase? (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0,hard,growth,(Revenue_t - Revenue_{t-1}) / Revenue_{t-1} * 100%,"year,Revenue
+2019,23968000000.0
+2020,22317000000.0
+2021,23668000000.0
+2022,25299000000.0
+2023,26793000000.0
+2024,22952000000.0
+","year,Revenue Growth
+2020,-6.888351134846461
+2021,6.0536810503203835
+2022,6.891161061348656
+2023,5.905371753824261
+2024,-14.335833986489007
+"
+US,fundamental,"Within the 2017–2021 window, how many times did Domino's's Revenue Growth decrease from one year to the next? (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0,hard,growth,(Revenue_t - Revenue_{t-1}) / Revenue_{t-1} * 100%,"year,Revenue
+2016,2472628000.0
+2017,2787979000.0
+2018,3432867000.0
+2019,3618774000.0
+2020,4117411000.0
+2021,4357373000.0
+","year,Revenue Growth
+2017,12.753677463815826
+2018,23.13102071428802
+2019,5.415502552239863
+2020,13.779169409308235
+2021,5.8279826813500035
+"
+US,fundamental,"Comparing Rollins's Revenue Growth year by year from 2021 to 2023, how many times did it increase relative to the preceding year? (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,growth,(Revenue_t - Revenue_{t-1}) / Revenue_{t-1} * 100%,"year,Revenue
+2020,2161220000.0
+2021,2424300000.0
+2022,2695823000.0
+2023,3073278000.0
+","year,Revenue Growth
+2021,12.172754277676498
+2022,11.20005774862847
+2023,14.001475616166195
+"
+US,fundamental,"Taking 2017 as the starting reference, how many year-over-year increases occurred in Parker Hannifin's Revenue Growth up to 2019? (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,growth,(Revenue_t - Revenue_{t-1}) / Revenue_{t-1} * 100%,"year,Revenue
+2016,11360753000.0
+2017,12029312000.0
+2018,14302392000.0
+2019,14320324000.0
+","year,Revenue Growth
+2017,5.8848123887562735
+2018,18.896176273422785
+2019,0.12537762914063605
+"
+US,fundamental,"For International Paper's Revenue Growth from 2018 to 2020, count the number of YoY increases between each consecutive pair of years. (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0,hard,growth,(Revenue_t - Revenue_{t-1}) / Revenue_{t-1} * 100%,"year,Revenue
+2017,21743000000.0
+2018,23306000000.0
+2019,22376000000.0
+2020,20580000000.0
+","year,Revenue Growth
+2018,7.1885204433610825
+2019,-3.9903887410967136
+2020,-8.026456918126563
+"
+US,fundamental,"Calculate the EBITDA Growth of Targa Resources from 2022 to 2024 and make a year-over-year comparison. How many times was there a YoY decrease? (Indicator unit: %; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0,hard,growth,(EBITDA_t - EBITDA_{t-1}) / EBITDA_{t-1} * 100%; EBITDA = Pretax Income + Interest Expense + D&A,"year,PretaxIncomeLoss,InterestExpense,Depreciation & Amortization
+2021,436900000.0,387900000.0,870600000.0
+2022,1663200000.0,446100000.0,1096000000.0
+2023,1942500000.0,687800000.0,1329600000.0
+2024,1938000000.0,767200000.0,1423000000.0
+","year,EBITDA Growth
+2022,89.05862923203964
+2023,23.542258134963966
+2024,4.250107325942574
+"
+US,fundamental,"Within the 2021–2025 window, how many times did Insulet Corporation's EBITDA Growth increase from one year to the next? (Indicator unit: %; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,growth,(EBITDA_t - EBITDA_{t-1}) / EBITDA_{t-1} * 100%; EBITDA = Pretax Income + Interest Expense + D&A,"year,PretaxIncomeLoss,InterestExpense,Depreciation & Amortization
+2020,9700000.0,45200000.0,55400000.0
+2021,20500000.0,40200000.0,57400000.0
+2022,9800000.0,5800000.0,63200000.0
+2023,214600000.0,36200000.0,72800000.0
+2024,300200000.0,42700000.0,80800000.0
+2025,339500000.0,59400000.0,90400000.0
+","year,EBITDA Growth
+2021,7.071622846781506
+2022,-33.27688399661304
+2023,310.65989847715736
+2024,30.933250927070453
+2025,15.482652820391788
+"
+US,fundamental,"Comparing Dominion Energy's EBITDA Growth year by year from 2018 to 2020, how many times did it decrease relative to the preceding year? (Indicator unit: %; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0,hard,growth,(EBITDA_t - EBITDA_{t-1}) / EBITDA_{t-1} * 100%; EBITDA = Pretax Income + Interest Expense + D&A,"year,PretaxIncomeLoss,InterestExpense,Depreciation & Amortization
+2017,3090000000.0,1205000000.0,1905000000.0
+2018,3129000000.0,1493000000.0,2000000000.0
+2019,1727000000.0,1773000000.0,2655000000.0
+2020,1411000000.0,1377000000.0,2332000000.0
+","year,EBITDA Growth
+2018,6.806451612903226
+2019,-7.0522500755058894
+2020,-16.815597075548336
+"
+US,fundamental,"Taking 2017 as the starting reference, how many year-over-year decreases occurred in Old Dominion's EBITDA Growth up to 2019? (Indicator unit: %; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,growth,(EBITDA_t - EBITDA_{t-1}) / EBITDA_{t-1} * 100%; EBITDA = Pretax Income + Interest Expense + D&A,"year,PretaxIncomeLoss,InterestExpense,Depreciation & Amortization
+2016,477587000.0,6417000.0,189867000.0
+2017,575832000.0,5442000.0,205763000.0
+2018,815513000.0,4525000.0,230357000.0
+2019,823949000.0,3857000.0,253681000.0
+","year,EBITDA Growth
+2017,16.79342188638478
+2018,33.46195922173926
+2019,2.960029322302562
+"
+US,fundamental,"For Regeneron Pharmaceuticals's EBITDA Growth from 2018 to 2022, count the number of YoY decreases between each consecutive pair of years. (Indicator unit: %; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0,hard,growth,(EBITDA_t - EBITDA_{t-1}) / EBITDA_{t-1} * 100%; EBITDA = Pretax Income + Interest Expense + D&A,"year,PretaxIncomeLoss,InterestExpense,Depreciation & Amortization
+2017,2078511000.0,18678000.0,145467000.0
+2018,2553500000.0,28200000.0,148200000.0
+2019,2429100000.0,30200000.0,210300000.0
+2020,3810400000.0,56900000.0,235900000.0
+2021,9325800000.0,57300000.0,286200000.0
+2022,4858800000.0,59400000.0,341400000.0
+","year,EBITDA Growth
+2018,21.72620321618652
+2019,-2.2088721198578702
+2020,53.70092897812406
+2021,135.6526613374927
+2022,-45.605162731531756
+"
+US,fundamental,"Calculate the Net Income Growth of Charter Communications from 2020 to 2022 and make a year-over-year comparison. How many times was there a YoY decrease? (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0,hard,growth,(Net Income_t - Net Income_{t-1}) / |Net Income_{t-1}| * 100%,"year,NetIncome
+2019,1668000000.0
+2020,3222000000.0
+2021,4654000000.0
+2022,5055000000.0
+","year,Net Income Growth
+2020,93.16546762589928
+2021,44.44444444444444
+2022,8.616244091104425
+"
+US,fundamental,"Within the 2020–2022 window, how many times did Parker Hannifin's Net Income Growth decrease from one year to the next? (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,growth,(Net Income_t - Net Income_{t-1}) / |Net Income_{t-1}| * 100%,"year,NetIncome
+2019,1512364000.0
+2020,1206341000.0
+2021,1746100000.0
+2022,1315605000.0
+","year,Net Income Growth
+2020,-20.234745074598443
+2021,44.74348463659943
+2022,-24.65465895424088
+"
+US,fundamental,"Comparing Pentair's Net Income Growth year by year from 2021 to 2023, how many times did it increase relative to the preceding year? (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,growth,(Net Income_t - Net Income_{t-1}) / |Net Income_{t-1}| * 100%,"year,NetIncome
+2020,358600000.0
+2021,553000000.0
+2022,480900000.0
+2023,622700000.0
+","year,Net Income Growth
+2021,54.210819854991634
+2022,-13.037974683544304
+2023,29.486379704720317
+"
+US,fundamental,"Taking 2020 as the starting reference, how many year-over-year increases occurred in Capital One's Net Income Growth up to 2024? (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.0,hard,growth,(Net Income_t - Net Income_{t-1}) / |Net Income_{t-1}| * 100%,"year,NetIncome
+2019,5546000000.0
+2020,2714000000.0
+2021,12390000000.0
+2022,7360000000.0
+2023,4887000000.0
+2024,4750000000.0
+","year,Net Income Growth
+2020,-51.06382978723404
+2021,356.52173913043475
+2022,-40.597255851493145
+2023,-33.60054347826087
+2024,-2.803355842029875
+"
+US,fundamental,"For TransDigm Group's Net Income Growth from 2021 to 2023, count the number of YoY increases between each consecutive pair of years. (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0,hard,growth,(Net Income_t - Net Income_{t-1}) / |Net Income_{t-1}| * 100%,"year,NetIncome
+2020,699000000.0
+2021,680000000.0
+2022,866000000.0
+2023,1298000000.0
+","year,Net Income Growth
+2021,-2.7181688125894135
+2022,27.35294117647059
+2023,49.88452655889146
+"
+US,fundamental,"Calculate the EPS Growth of Abbott Laboratories from 2019 to 2023 and make a year-over-year comparison. How many times was there a YoY increase? (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,growth,(EPS_t - EPS_{t-1}) / |EPS_{t-1}| * 100%; EPS = Net Income / Weighted-Average Basic Shares,"year,NetIncome,SharesAverage
+2018,2368000000.0,1758000000.0
+2019,3687000000.0,1768000000.0
+2020,4495000000.0,1773000000.0
+2021,7071000000.0,1775000000.0
+2022,6933000000.0,1753000000.0
+2023,5723000000.0,1740000000.0
+","year,EPS Growth
+2019,54.82035167237376
+2020,21.571026446022834
+2021,57.13087154741574
+2022,-0.7211348216682202
+2023,-16.836029915231332
+"
+US,fundamental,"Within the 2017–2021 window, how many times did MSCI Inc.'s EPS Growth decrease from one year to the next? (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0,hard,growth,(EPS_t - EPS_{t-1}) / |EPS_{t-1}| * 100%; EPS = Net Income / Weighted-Average Basic Shares,"year,NetIncome,SharesAverage
+2016,260855000.0,95986000.0
+2017,303972000.0,90336000.0
+2018,507885000.0,87179000.0
+2019,563648000.0,84644000.0
+2020,601822000.0,83716000.0
+2021,725983000.0,82508000.0
+","year,EPS Growth
+2017,23.817335154560293
+2018,73.13336854384205
+2019,14.303173540478964
+2020,7.956252020278913
+2021,22.39700781563419
+"
+US,fundamental,"Comparing Accenture's EPS Growth year by year from 2017 to 2019, how many times did it increase relative to the preceding year? (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,growth,(EPS_t - EPS_{t-1}) / |EPS_{t-1}| * 100%; EPS = Net Income / Weighted-Average Basic Shares,"year,NetIncome,SharesAverage
+2016,4111892000.0,624797820.0
+2017,3445149000.0,620104250.0
+2018,4059907000.0,628451742.0
+2019,4779112000.0,638098125.0
+","year,EPS Growth
+2017,-15.580824156919068
+2018,16.278882487755364
+2019,15.935273004928602
+"
+US,fundamental,"Taking 2020 as the starting reference, how many year-over-year increases occurred in Kinder Morgan's EPS Growth up to 2024? (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,growth,(EPS_t - EPS_{t-1}) / |EPS_{t-1}| * 100%; EPS = Net Income / Weighted-Average Basic Shares,"year,NetIncome,SharesAverage
+2019,2190000000.0,0.0
+2020,119000000.0,0.0
+2021,1784000000.0,2266000000.0
+2022,2548000000.0,2258000000.0
+2023,2391000000.0,2234000000.0
+2024,2613000000.0,2220000000.0
+","year,EPS Growth
+2022,43.33113553404536
+2023,-5.15358474496472
+2024,9.974001605118309
+"
+US,fundamental,"For Aptiv's EPS Growth from 2018 to 2022, count the number of YoY increases between each consecutive pair of years. (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.0,hard,growth,(EPS_t - EPS_{t-1}) / |EPS_{t-1}| * 100%; EPS = Net Income / Weighted-Average Basic Shares,"year,NetIncome,SharesAverage
+2017,1355000000.0,267160000.0
+2018,1067000000.0,264410000.0
+2019,990000000.0,256810000.0
+2020,1804000000.0,263430000.0
+2021,590000000.0,270460000.0
+2022,594000000.0,270900000.0
+","year,EPS Growth
+2018,-20.435620013701737
+2019,-4.4706724896299015
+2020,77.64297494168805
+2021,-68.14499580496265
+2022,0.514443380820992
+"
+US,fundamental,"Calculate the Free Cash Flow of Verisk Analytics from 2018 to 2020 and make a year-over-year comparison. How many times was there a YoY decrease? (Indicator unit: $) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0,hard,cash flow,CFO - Capex,"year,NetCashFromOperatingActivities,CapitalExpenses
+2018,934400000.0,231000000.0
+2019,956300000.0,216800000.0
+2020,1068200000.0,246800000.0
+","year,Free Cash Flow
+2018,703400000.0
+2019,739500000.0
+2020,821400000.0
+"
+US,fundamental,"Within the 2020–2024 window, how many times did Generac's Free Cash Flow decrease from one year to the next? (Indicator unit: $) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0,hard,cash flow,CFO - Capex,"year,NetCashFromOperatingActivities,CapitalExpenses
+2020,486533000.0,62128000.0
+2021,411156000.0,109992000.0
+2022,58516000.0,86188000.0
+2023,521670000.0,129060000.0
+2024,741301000.0,136733000.0
+","year,Free Cash Flow
+2020,424405000.0
+2021,301164000.0
+2022,-27672000.0
+2023,392610000.0
+2024,604568000.0
+"
+US,fundamental,"Comparing Nucor's Free Cash Flow year by year from 2019 to 2023, how many times did it decrease relative to the preceding year? (Indicator unit: $) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0,hard,cash flow,CFO - Capex,"year,NetCashFromOperatingActivities,CapitalExpenses
+2019,2809413000.0,1477293000.0
+2020,2696877000.0,1543219000.0
+2021,6230776000.0,1621989000.0
+2022,10072054000.0,1947897000.0
+2023,7111931000.0,2214157000.0
+","year,Free Cash Flow
+2019,1332120000.0
+2020,1153658000.0
+2021,4608787000.0
+2022,8124157000.0
+2023,4897774000.0
+"
+US,fundamental,"Taking 2019 as the starting reference, how many year-over-year decreases occurred in Kraft Heinz's Free Cash Flow up to 2021? (Indicator unit: $) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0,hard,cash flow,CFO - Capex,"year,NetCashFromOperatingActivities,CapitalExpenses
+2019,3552000000.0,768000000.0
+2020,4929000000.0,596000000.0
+2021,5364000000.0,905000000.0
+","year,Free Cash Flow
+2019,2784000000.0
+2020,4333000000.0
+2021,4459000000.0
+"
+US,fundamental,"For Pentair's Free Cash Flow from 2020 to 2022, count the number of YoY decreases between each consecutive pair of years. (Indicator unit: $) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,cash flow,CFO - Capex,"year,NetCashFromOperatingActivities,CapitalExpenses
+2020,573600000.0,62200000.0
+2021,613200000.0,60200000.0
+2022,363300000.0,85200000.0
+","year,Free Cash Flow
+2020,511400000.0
+2021,553000000.0
+2022,278100000.0
+"
+US,fundamental,"Calculate the Free Cash Flow to Firm of Tractor Supply from 2022 to 2024 and make a year-over-year comparison. How many times was there a YoY decrease? (Indicator unit: $) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0,hard,cash flow,CFO - Capex + Interest Expense x (1 - effective tax rate),"year,NetCashFromOperatingActivities,CapitalExpenses,InterestExpense,IncomeTaxes,PretaxIncomeLoss
+2022,1356979000.0,773369000.0,26367000.0,315598000.0,1404310000.0
+2023,1334033000.0,753883000.0,56315000.0,325176000.0,1432402000.0
+2024,1420835000.0,784047000.0,65865000.0,311700000.0,1412940000.0
+","year,Free Cash Flow to Firm
+2022,604051404.8920822
+2023,623680679.3693391
+2024,688122927.5977749
+"
+US,fundamental,"Within the 2022–2024 window, how many times did Southern Company's Free Cash Flow to Firm increase from one year to the next? (Indicator unit: $) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0,hard,cash flow,CFO - Capex + Interest Expense x (1 - effective tax rate),"year,NetCashFromOperatingActivities,CapitalExpenses,InterestExpense,IncomeTaxes,PretaxIncomeLoss
+2022,6302000000.0,7923000000.0,2022000000.0,795000000.0,4223000000.0
+2023,7553000000.0,9095000000.0,2446000000.0,496000000.0,4345000000.0
+2024,9788000000.0,8955000000.0,2743000000.0,969000000.0,5229000000.0
+","year,Free Cash Flow to Firm
+2022,20348804.167653084
+2023,624778826.2370543
+2024,3067687320.711417
+"
+US,fundamental,"Comparing Ametek's Free Cash Flow to Firm year by year from 2017 to 2019, how many times did it decrease relative to the preceding year? (Indicator unit: $) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0,hard,cash flow,CFO - Capex + Interest Expense x (1 - effective tax rate),"year,NetCashFromOperatingActivities,CapitalExpenses,InterestExpense,IncomeTaxes,PretaxIncomeLoss
+2017,833259000.0,75074000.0,98029000.0,115259000.0,796729000.0
+2018,925518000.0,82076000.0,82180000.0,209812000.0,987745000.0
+2019,1114422000.0,102346000.0,88481000.0,208451000.0,1069748000.0
+","year,Free Cash Flow to Firm
+2017,842032610.2037205
+2018,908165723.1674167
+2019,1083315600.2207997
+"
+US,fundamental,"Taking 2016 as the starting reference, how many year-over-year decreases occurred in Centene Corporation's Free Cash Flow to Firm up to 2018? (Indicator unit: $) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0,hard,cash flow,CFO - Capex + Interest Expense x (1 - effective tax rate),"year,NetCashFromOperatingActivities,CapitalExpenses,InterestExpense,IncomeTaxes,PretaxIncomeLoss
+2016,1851000000.0,306000000.0,217000000.0,556000000.0,1157000000.0
+2017,1489000000.0,422000000.0,255000000.0,496000000.0,1134000000.0
+2018,1234000000.0,675000000.0,343000000.0,448000000.0,1368000000.0
+","year,Free Cash Flow to Firm
+2016,1657719965.4278307
+2017,1210465608.4656086
+2018,789672514.6198831
+"
+US,fundamental,"For Hologic's Free Cash Flow to Firm from 2021 to 2023, count the number of YoY increases between each consecutive pair of years. (Indicator unit: $) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0,hard,cash flow,CFO - Capex + Interest Expense x (1 - effective tax rate),"year,NetCashFromOperatingActivities,CapitalExpenses,InterestExpense,IncomeTaxes,PretaxIncomeLoss
+2021,2330400000.0,96800000.0,93600000.0,491400000.0,2361100000.0
+2022,2125700000.0,70600000.0,95100000.0,286200000.0,1588200000.0
+2023,1051200000.0,91800000.0,111100000.0,220100000.0,676100000.0
+","year,Free Cash Flow to Firm
+2021,2307719656.0924993
+2022,2133062599.1688704
+2023,1034332110.6345215
+"
+US,fundamental,"Calculate the Free Cash Flow to Equity of Verisk Analytics from 2023 to 2025 and make a year-over-year comparison. How many times was there a YoY increase? (Indicator unit: $; Net Borrowing is approximated as the year-over-year change in (short-term debt + long-term debt)) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0,hard,cash flow,CFO - Capex + Net Borrowing; Net Borrowing = delta(Short-Term Debt + Long-Term Debt),"year,NetCashFromOperatingActivities,CapitalExpenses,ShortTermDebt,LongTermDebt
+2022,1059000000.0,274700000.0,1392900000.0,2343200000.0
+2023,1060700000.0,230000000.0,14500000.0,2852200000.0
+2024,1144000000.0,223900000.0,514200000.0,2546900000.0
+2025,1436000000.0,244100000.0,1508900000.0,3228300000.0
+","year,Free Cash Flow to Equity
+2023,-38700000.0
+2024,1114500000.0
+2025,2868000000.0
+"
+US,fundamental,"Within the 2019–2023 window, how many times did Jabil's Free Cash Flow to Equity decrease from one year to the next? (Indicator unit: $; Net Borrowing is approximated as the year-over-year change in (short-term debt + long-term debt)) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0,hard,cash flow,CFO - Capex + Net Borrowing; Net Borrowing = delta(Short-Term Debt + Long-Term Debt),"year,NetCashFromOperatingActivities,CapitalExpenses,ShortTermDebt,LongTermDebt
+2018,933850000.0,1036651000.0,0.0,2493502000.0
+2019,1193066000.0,1005480000.0,0.0,2121284000.0
+2020,1257275000.0,983035000.0,0.0,2678288000.0
+2021,1433000000.0,1159000000.0,0.0,2878000000.0
+2022,1651000000.0,1385000000.0,0.0,2575000000.0
+2023,1734000000.0,1030000000.0,0.0,2875000000.0
+","year,Free Cash Flow to Equity
+2019,-184632000.0
+2020,831244000.0
+2021,473712000.0
+2022,-37000000.0
+2023,1004000000.0
+"
+US,fundamental,"Comparing International Paper's Free Cash Flow to Equity year by year from 2023 to 2025, how many times did it decrease relative to the preceding year? (Indicator unit: $; Net Borrowing is approximated as the year-over-year change in (short-term debt + long-term debt)) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0,hard,cash flow,CFO - Capex + Net Borrowing; Net Borrowing = delta(Short-Term Debt + Long-Term Debt),"year,NetCashFromOperatingActivities,CapitalExpenses,ShortTermDebt,LongTermDebt
+2022,2174000000.0,0.0,763000000.0,4816000000.0
+2023,1833000000.0,1141000000.0,138000000.0,5455000000.0
+2024,1678000000.0,921000000.0,193000000.0,5368000000.0
+2025,1698000000.0,1857000000.0,992000000.0,8839000000.0
+","year,Free Cash Flow to Equity
+2023,706000000.0
+2024,725000000.0
+2025,4111000000.0
+"
+US,fundamental,"Taking 2018 as the starting reference, how many year-over-year increases occurred in Oneok's Free Cash Flow to Equity up to 2022? (Indicator unit: $; Net Borrowing is approximated as the year-over-year change in (short-term debt + long-term debt)) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0,hard,cash flow,CFO - Capex + Net Borrowing; Net Borrowing = delta(Short-Term Debt + Long-Term Debt),"year,NetCashFromOperatingActivities,CapitalExpenses,ShortTermDebt,LongTermDebt
+2017,1315412000.0,512393000.0,614673000.0,8091629000.0
+2018,2186719000.0,2141475000.0,0.0,8873334000.0
+2019,1946779000.0,3848349000.0,220000000.0,12479757000.0
+2020,1899068000.0,2195381000.0,0.0,14228421000.0
+2021,2546272000.0,696854000.0,0.0,12747636000.0
+2022,2905955000.0,1202057000.0,0.0,12695834000.0
+","year,Free Cash Flow to Equity
+2018,212276000.0
+2019,1924853000.0
+2020,1232351000.0
+2021,368633000.0
+2022,1652096000.0
+"
+US,fundamental,"For Sysco's Free Cash Flow to Equity from 2023 to 2025, count the number of YoY decreases between each consecutive pair of years. (Indicator unit: $; Net Borrowing is approximated as the year-over-year change in (short-term debt + long-term debt)) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,cash flow,CFO - Capex + Net Borrowing; Net Borrowing = delta(Short-Term Debt + Long-Term Debt),"year,NetCashFromOperatingActivities,CapitalExpenses,ShortTermDebt,LongTermDebt
+2022,1791286000.0,632802000.0,0.0,10066931000.0
+2023,2867602000.0,793325000.0,0.0,10347997000.0
+2024,2989000000.0,832000000.0,0.0,11513000000.0
+2025,2510000000.0,906000000.0,0.0,12360000000.0
+","year,Free Cash Flow to Equity
+2023,2355343000.0
+2024,3322003000.0
+2025,2451000000.0
+"
+US,fundamental,"Calculate the Operating Cash Flow Margin of Pool Corporation from 2019 to 2023 and make a year-over-year comparison. How many times was there a YoY decrease? (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,cash flow,CFO / Revenue * 100%,"year,NetCashFromOperatingActivities,Revenue
+2019,298776000.0,3199517000.0
+2020,397581000.0,3936623000.0
+2021,313490000.0,5295584000.0
+2022,484854000.0,6179727000.0
+2023,888229000.0,5541595000.0
+","year,Operating Cash Flow Margin
+2019,9.33815947844628
+2020,10.099544711291887
+2021,5.91983811417211
+2022,7.845880570452383
+2023,16.028399765771407
+"
+US,fundamental,"Within the 2016–2018 window, how many times did Qualcomm's Operating Cash Flow Margin increase from one year to the next? (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0,hard,cash flow,CFO / Revenue * 100%,"year,NetCashFromOperatingActivities,Revenue
+2016,7400000000.0,23554000000.0
+2017,4693000000.0,22291000000.0
+2018,3895000000.0,22732000000.0
+","year,Operating Cash Flow Margin
+2016,31.417169058334043
+2017,21.05333991296936
+2018,17.13443603730424
+"
+US,fundamental,"Comparing Synopsys's Operating Cash Flow Margin year by year from 2017 to 2019, how many times did it increase relative to the preceding year? (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,cash flow,CFO / Revenue * 100%,"year,NetCashFromOperatingActivities,Revenue
+2017,634565000.0,2724880000.0
+2018,424232000.0,3121058000.0
+2019,800513000.0,3360694000.0
+","year,Operating Cash Flow Margin
+2017,23.287814509262795
+2018,13.592570211767931
+2019,23.819871728875047
+"
+US,fundamental,"Taking 2021 as the starting reference, how many year-over-year increases occurred in Airbnb's Operating Cash Flow Margin up to 2025? (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0,hard,cash flow,CFO / Revenue * 100%,"year,NetCashFromOperatingActivities,Revenue
+2021,2189694000.0,5991760000.0
+2022,3430000000.0,8399000000.0
+2023,3884000000.0,9917000000.0
+2024,4518000000.0,11102000000.0
+2025,4646000000.0,12241000000.0
+","year,Operating Cash Flow Margin
+2021,36.54508858832797
+2022,40.83819502321705
+2023,39.165070081677925
+2024,40.695370203566924
+2025,37.95441548893064
+"
+US,fundamental,"For Deckers Brands's Operating Cash Flow Margin from 2021 to 2025, count the number of YoY increases between each consecutive pair of years. (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.0,hard,cash flow,CFO / Revenue * 100%,"year,NetCashFromOperatingActivities,Revenue
+2021,172353000.0,3150339000.0
+2022,537422000.0,3627286000.0
+2023,1033184000.0,4287763000.0
+2024,1044523000.0,4985612000.0
+2025,1181955000.0,5472296000.0
+","year,Operating Cash Flow Margin
+2021,5.470935032706004
+2022,14.816091149140156
+2023,24.096107923875458
+2024,20.95074787207669
+2025,21.59888646374392
+"
+US,fundamental,"Calculate the Capex Intensity of Carnival from 2023 to 2025 and make a year-over-year comparison. How many times was there a YoY decrease? (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,cash flow,Capex / Revenue * 100%,"year,CapitalExpenses,Revenue
+2023,3284000000.0,21593000000.0
+2024,4626000000.0,25021000000.0
+2025,3611000000.0,26622000000.0
+","year,Capex Intensity
+2023,15.208632427175473
+2024,18.48846968546421
+2025,13.563969649162347
+"
+US,fundamental,"Within the 2016–2020 window, how many times did Microsoft's Capex Intensity increase from one year to the next? (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0,hard,cash flow,Capex / Revenue * 100%,"year,CapitalExpenses,Revenue
+2016,8343000000.0,85320000000.0
+2017,8129000000.0,89950000000.0
+2018,11632000000.0,110360000000.0
+2019,13925000000.0,125843000000.0
+2020,15441000000.0,143015000000.0
+","year,Capex Intensity
+2016,9.778481012658228
+2017,9.037242912729294
+2018,10.540050743022835
+2019,11.065375110256431
+2020,10.796769569625564
+"
+US,fundamental,"Comparing Nasdaq Inc.'s Capex Intensity year by year from 2019 to 2021, how many times did it increase relative to the preceding year? (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,cash flow,Capex / Revenue * 100%,"year,CapitalExpenses,Revenue
+2019,127000000.0,4262000000.0
+2020,188000000.0,5627000000.0
+2021,163000000.0,5886000000.0
+","year,Capex Intensity
+2019,2.9798216799624586
+2020,3.341034298915941
+2021,2.7692830445124024
+"
+US,fundamental,"Taking 2021 as the starting reference, how many year-over-year increases occurred in Colgate-Palmolive's Capex Intensity up to 2025? (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,cash flow,Capex / Revenue * 100%,"year,CapitalExpenses,Revenue
+2021,567000000.0,17421000000.0
+2022,696000000.0,17967000000.0
+2023,705000000.0,19457000000.0
+2024,561000000.0,20101000000.0
+2025,564000000.0,20382000000.0
+","year,Capex Intensity
+2021,3.2546926123643876
+2022,3.873768575722157
+2023,3.6233746209590376
+2024,2.7909059250783543
+2025,2.7671474830733
+"
+US,fundamental,"For Archer Daniels Midland's Capex Intensity from 2021 to 2025, count the number of YoY increases between each consecutive pair of years. (Indicator unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0,hard,cash flow,Capex / Revenue * 100%,"year,CapitalExpenses,Revenue
+2021,1169000000.0,85249000000.0
+2022,1319000000.0,101556000000.0
+2023,1494000000.0,93935000000.0
+2024,1563000000.0,85530000000.0
+2025,1248000000.0,80269000000.0
+","year,Capex Intensity
+2021,1.3712770824291194
+2022,1.2987908149198473
+2023,1.5904614893277265
+2024,1.8274289722904242
+2025,1.55477207888475
+"
+US,fundamental,"Calculate the Cash Flow to Net Income of Teradyne from 2019 to 2023 and make a year-over-year comparison. How many times was there a YoY increase? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,cash flow,CFO / Net Income,"year,NetCashFromOperatingActivities,NetIncome
+2019,578750000.0,467468000.0
+2020,868935000.0,784147000.0
+2021,1098366000.0,1014589000.0
+2022,577923000.0,715501000.0
+2023,585231000.0,448752000.0
+","year,Cash Flow to Net Income
+2019,1.2380526581498628
+2020,1.1081276852426905
+2021,1.082572351957295
+2022,0.8077179486821122
+2023,1.304130120868542
+"
+US,fundamental,"Within the 2021–2023 window, how many times did Capital One's Cash Flow to Net Income increase from one year to the next? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0,hard,cash flow,CFO / Net Income,"year,NetCashFromOperatingActivities,NetIncome
+2021,12310000000.0,12390000000.0
+2022,13809000000.0,7360000000.0
+2023,20575000000.0,4887000000.0
+","year,Cash Flow to Net Income
+2021,0.993543179983858
+2022,1.8762228260869565
+2023,4.210149375895233
+"
+US,fundamental,"Comparing Extra Space Storage's Cash Flow to Net Income year by year from 2023 to 2025, how many times did it increase relative to the preceding year? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,cash flow,CFO / Net Income,"year,NetCashFromOperatingActivities,NetIncome
+2023,1402474000.0,803198000.0
+2024,1887430000.0,854681000.0
+2025,1850193000.0,973999000.0
+","year,Cash Flow to Net Income
+2023,1.7461124156185648
+2024,2.208344399840408
+2025,1.8995840858152833
+"
+US,fundamental,"Taking 2021 as the starting reference, how many year-over-year increases occurred in A. O. Smith's Cash Flow to Net Income up to 2025? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0,hard,cash flow,CFO / Net Income,"year,NetCashFromOperatingActivities,NetIncome
+2021,641100000.0,487100000.0
+2022,391400000.0,235700000.0
+2023,670300000.0,556600000.0
+2024,581800000.0,533600000.0
+2025,616800000.0,546200000.0
+","year,Cash Flow to Net Income
+2021,1.3161568466433997
+2022,1.6605854900296988
+2023,1.2042759611929572
+2024,1.0903298350824588
+2025,1.1292566825338703
+"
+US,fundamental,"For Citizens Financial Group's Cash Flow to Net Income from 2017 to 2019, count the number of YoY increases between each consecutive pair of years. According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0,hard,cash flow,CFO / Net Income,"year,NetCashFromOperatingActivities,NetIncome
+2017,-2911000000.0,1652000000.0
+2018,-8036000000.0,1721000000.0
+2019,-21188000000.0,1791000000.0
+","year,Cash Flow to Net Income
+2017,-1.7621065375302662
+2018,-4.669378268448576
+2019,-11.830262423227248
+"
+US,fundamental,"Calculate the Cash Flow to Debt of L3Harris from 2021 to 2025 and make a year-over-year comparison. How many times was there a YoY decrease? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0,hard,cash flow,CFO / Total Debt; Total Debt = Short-Term Debt + Long-Term Debt,"year,NetCashFromOperatingActivities,ShortTermDebt,LongTermDebt
+2021,2687000000.0,2000000.0,7048000000.0
+2022,2158000000.0,2000000.0,6225000000.0
+2023,2096000000.0,1602000000.0,11160000000.0
+2024,2559000000.0,515000000.0,11081000000.0
+2025,3106000000.0,0.0,10443000000.0
+","year,Cash Flow to Debt
+2021,0.3811347517730496
+2022,0.3465553235908142
+2023,0.1642375803165648
+2024,0.22067954467057607
+2025,0.2974241118452552
+"
+US,fundamental,"Within the 2018–2020 window, how many times did Pentair's Cash Flow to Debt increase from one year to the next? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,cash flow,CFO / Total Debt; Total Debt = Short-Term Debt + Long-Term Debt,"year,NetCashFromOperatingActivities,ShortTermDebt,LongTermDebt
+2018,439100000.0,0.0,787600000.0
+2019,353000000.0,0.0,1029100000.0
+2020,573600000.0,0.0,839600000.0
+","year,Cash Flow to Debt
+2018,0.5575165058405281
+2019,0.3430181712175687
+2020,0.6831824678418295
+"
+US,fundamental,"Comparing Global Payments's Cash Flow to Debt year by year from 2019 to 2023, how many times did it increase relative to the preceding year? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,cash flow,CFO / Total Debt; Total Debt = Short-Term Debt + Long-Term Debt,"year,NetCashFromOperatingActivities,ShortTermDebt,LongTermDebt
+2019,1391278000.0,463237000.0,9090364000.0
+2020,2314150000.0,358698000.0,8466407000.0
+2021,2780825000.0,484202000.0,11414809000.0
+2022,2244040000.0,747111000.0,12289248000.0
+2023,2248741000.0,981244000.0,15692297000.0
+","year,Cash Flow to Debt
+2019,0.14562864829711855
+2020,0.2622235089554175
+2021,0.2337021959219972
+2022,0.1721370207739753
+2023,0.13486883200155264
+"
+US,fundamental,"Taking 2018 as the starting reference, how many year-over-year decreases occurred in Prudential Financial's Cash Flow to Debt up to 2022? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.0,hard,cash flow,CFO / Total Debt; Total Debt = Short-Term Debt + Long-Term Debt,"year,NetCashFromOperatingActivities,ShortTermDebt,LongTermDebt
+2018,21664000000.0,2451000000.0,17378000000.0
+2019,19625000000.0,1933000000.0,18646000000.0
+2020,8368000000.0,925000000.0,19718000000.0
+2021,9812000000.0,0.0,18622000000.0
+2022,5158000000.0,0.0,19908000000.0
+","year,Cash Flow to Debt
+2018,1.092541227495083
+2019,0.9536420622965158
+2020,0.4053674369035508
+2021,0.5269036623348727
+2022,0.25909182238296163
+"
+US,fundamental,"For General Mills's Cash Flow to Debt from 2020 to 2022, count the number of YoY increases between each consecutive pair of years. According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,cash flow,CFO / Total Debt; Total Debt = Short-Term Debt + Long-Term Debt,"year,NetCashFromOperatingActivities,ShortTermDebt,LongTermDebt
+2020,3676200000.0,279000000.0,10929000000.0
+2021,2983200000.0,361300000.0,9786900000.0
+2022,3316100000.0,811400000.0,9134800000.0
+","year,Cash Flow to Debt
+2020,0.32799785867237685
+2021,0.2939634615005617
+2022,0.33340371197040075
+"
+US,fundamental,"Calculate the Earnings Per Share Basic of Progressive Corporation from 2020 to 2022 and make a year-over-year comparison. How many times was there a YoY decrease? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0,hard,per share,(Net Income - Preferred Dividends) / Weighted-Average Basic Shares,"year,NetIncome,SharesAverage,PreferredDividendExpense
+2020,5704600000.0,584900000.0,26900000.0
+2021,3350900000.0,584500000.0,26900000.0
+2022,721500000.0,584400000.0,26900000.0
+","year,Earnings Per Share Basic
+2020,9.707129423833134
+2021,5.686911890504705
+2022,1.1885694729637235
+"
+US,fundamental,"Within the 2018–2020 window, how many times did Ameren's Earnings Per Share Basic decrease from one year to the next? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,per share,(Net Income - Preferred Dividends) / Weighted-Average Basic Shares,"year,NetIncome,SharesAverage,PreferredDividendExpense
+2018,782000000.0,243800000.0,6000000.0
+2019,769000000.0,245600000.0,6000000.0
+2020,815000000.0,247000000.0,6000000.0
+","year,Earnings Per Share Basic
+2018,3.1829368334700576
+2019,3.1066775244299674
+2020,3.2753036437246963
+"
+US,fundamental,"Comparing Bank of America's Earnings Per Share Basic year by year from 2017 to 2021, how many times did it increase relative to the preceding year? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.0,hard,per share,(Net Income - Preferred Dividends) / Weighted-Average Basic Shares,"year,NetIncome,SharesAverage,PreferredDividendExpense
+2017,18232000000.0,10195646000.0,1614000000.0
+2018,28147000000.0,10096500000.0,1451000000.0
+2019,27430000000.0,9390500000.0,1432000000.0
+2020,17894000000.0,8753200000.0,1421000000.0
+2021,31978000000.0,8493300000.0,1421000000.0
+","year,Earnings Per Share Basic
+2017,1.6299114347438113
+2018,2.644084583766652
+2019,2.7685426761088334
+2020,1.8819403189690627
+2021,3.5977770713385846
+"
+US,fundamental,"Taking 2018 as the starting reference, how many year-over-year decreases occurred in Morgan Stanley's Earnings Per Share Basic up to 2022? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,per share,(Net Income - Preferred Dividends) / Weighted-Average Basic Shares,"year,NetIncome,SharesAverage,PreferredDividendExpense
+2018,8748000000.0,1708000000.0,526000000.0
+2019,9042000000.0,1617000000.0,530000000.0
+2020,10996000000.0,1603000000.0,496000000.0
+2021,15034000000.0,1785000000.0,468000000.0
+2022,11029000000.0,1691000000.0,489000000.0
+","year,Earnings Per Share Basic
+2018,4.813817330210773
+2019,5.264069264069264
+2020,6.550218340611353
+2021,8.160224089635854
+2022,6.2329982259018335
+"
+US,fundamental,"For Williams Companies's Earnings Per Share Basic from 2022 to 2024, count the number of YoY increases between each consecutive pair of years. According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,per share,(Net Income - Preferred Dividends) / Weighted-Average Basic Shares,"year,NetIncome,SharesAverage,PreferredDividendExpense
+2022,2049000000.0,1218362000.0,3000000.0
+2023,3179000000.0,1217784000.0,3000000.0
+2024,2225000000.0,1219184000.0,3000000.0
+","year,Earnings Per Share Basic
+2022,1.679303852221261
+2023,2.6080158714517516
+2024,1.822530479402617
+"
+US,fundamental,"Calculate the Earnings Per Share Diluted of Bank of America from 2022 to 2024 and make a year-over-year comparison. How many times was there a YoY increase? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,per share,(Net Income - Preferred Dividends) / Weighted-Average Diluted Shares,"year,NetIncome,SharesFullyDilutedAverage,PreferredDividendExpense
+2022,27528000000.0,8167500000.0,1513000000.0
+2023,26515000000.0,8080500000.0,1649000000.0
+2024,27132000000.0,7935800000.0,1629000000.0
+","year,Earnings Per Share Diluted
+2022,3.185185185185185
+2023,3.077284821483819
+2024,3.2136646588875726
+"
+US,fundamental,"Within the 2020–2022 window, how many times did Duke Energy's Earnings Per Share Diluted decrease from one year to the next? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,per share,(Net Income - Preferred Dividends) / Weighted-Average Diluted Shares,"year,NetIncome,SharesFullyDilutedAverage,PreferredDividendExpense
+2020,1377000000.0,738000000.0,107000000.0
+2021,3908000000.0,769000000.0,106000000.0
+2022,2550000000.0,770000000.0,106000000.0
+","year,Earnings Per Share Diluted
+2020,1.7208672086720866
+2021,4.94408322496749
+2022,3.174025974025974
+"
+US,fundamental,"Comparing Ameren's Earnings Per Share Diluted year by year from 2017 to 2019, how many times did it increase relative to the preceding year? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,per share,(Net Income - Preferred Dividends) / Weighted-Average Diluted Shares,"year,NetIncome,SharesFullyDilutedAverage,PreferredDividendExpense
+2017,523000000.0,244200000.0,6000000.0
+2018,782000000.0,245800000.0,6000000.0
+2019,769000000.0,247100000.0,6000000.0
+","year,Earnings Per Share Diluted
+2017,2.1171171171171173
+2018,3.157038242473556
+2019,3.087818696883853
+"
+US,fundamental,"Taking 2018 as the starting reference, how many year-over-year increases occurred in Progressive Corporation's Earnings Per Share Diluted up to 2022? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0,hard,per share,(Net Income - Preferred Dividends) / Weighted-Average Diluted Shares,"year,NetIncome,SharesFullyDilutedAverage,PreferredDividendExpense
+2018,2615300000.0,586700000.0,21400000.0
+2019,3970300000.0,587200000.0,26900000.0
+2020,5704600000.0,587600000.0,26900000.0
+2021,3350900000.0,587100000.0,26900000.0
+2022,721500000.0,587100000.0,26900000.0
+","year,Earnings Per Share Diluted
+2018,4.4211692517470595
+2019,6.715599455040872
+2020,9.662525527569775
+2021,5.661727133367399
+2022,1.1831033895418157
+"
+US,fundamental,"For Morgan Stanley's Earnings Per Share Diluted from 2021 to 2023, count the number of YoY increases between each consecutive pair of years. According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0,hard,per share,(Net Income - Preferred Dividends) / Weighted-Average Diluted Shares,"year,NetIncome,SharesFullyDilutedAverage,PreferredDividendExpense
+2021,15034000000.0,1814000000.0,468000000.0
+2022,11029000000.0,1713000000.0,489000000.0
+2023,9087000000.0,1646000000.0,557000000.0
+","year,Earnings Per Share Diluted
+2021,8.029768467475193
+2022,6.1529480443666085
+2023,5.182260024301336
+"
+US,fundamental,"Calculate the Operating Cash Flow Per Share of Apple Inc. from 2022 to 2024 and make a year-over-year comparison. How many times was there a YoY increase? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,per share,CFO / Weighted-Average Basic Shares,"year,NetCashFromOperatingActivities,SharesAverage
+2022,122151000000.0,16215963000.0
+2023,110543000000.0,15744231000.0
+2024,118254000000.0,15343783000.0
+","year,Operating Cash Flow Per Share
+2022,7.532762624088375
+2023,7.021174930677783
+2024,7.706965094592383
+"
+US,fundamental,"Within the 2022–2024 window, how many times did Kroger's Operating Cash Flow Per Share decrease from one year to the next? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,per share,CFO / Weighted-Average Basic Shares,"year,NetCashFromOperatingActivities,SharesAverage
+2022,4498000000.0,718000000.0
+2023,6788000000.0,718000000.0
+2024,5794000000.0,715000000.0
+","year,Operating Cash Flow Per Share
+2022,6.264623955431754
+2023,9.454038997214484
+2024,8.103496503496503
+"
+US,fundamental,"Comparing Zoetis's Operating Cash Flow Per Share year by year from 2022 to 2024, how many times did it increase relative to the preceding year? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0,hard,per share,CFO / Weighted-Average Basic Shares,"year,NetCashFromOperatingActivities,SharesAverage
+2022,1912000000.0,468891000.0
+2023,2353000000.0,461172000.0
+2024,2953000000.0,454200000.0
+","year,Operating Cash Flow Per Share
+2022,4.077706759140184
+2023,5.102217827621798
+2024,6.501541171290181
+"
+US,fundamental,"Taking 2016 as the starting reference, how many year-over-year decreases occurred in Abbott Laboratories's Operating Cash Flow Per Share up to 2018? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0,hard,per share,CFO / Weighted-Average Basic Shares,"year,NetCashFromOperatingActivities,SharesAverage
+2016,3203000000.0,1477000000.0
+2017,5570000000.0,1740000000.0
+2018,6300000000.0,1758000000.0
+","year,Operating Cash Flow Per Share
+2016,2.1685849695328367
+2017,3.2011494252873565
+2018,3.583617747440273
+"
+US,fundamental,"For Waters Corporation's Operating Cash Flow Per Share from 2020 to 2022, count the number of YoY increases between each consecutive pair of years. According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0,hard,per share,CFO / Weighted-Average Basic Shares,"year,NetCashFromOperatingActivities,SharesAverage
+2020,790507000.0,62094000.0
+2021,747274000.0,61575000.0
+2022,611661000.0,59985000.0
+","year,Operating Cash Flow Per Share
+2020,12.730811350533063
+2021,12.135996751928543
+2022,10.196899224806202
+"
+US,fundamental,"Calculate the Equity Multiplier of Regency Centers from 2020 to 2022 and make a year-over-year comparison. How many times was there a YoY decrease? (Use the average of beginning and ending values) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0,hard,solvency,Average Total Assets / Average Stockholders Equity,"year,Assets,AllEquityBalance
+2019,11132253000.0,6213348000.0
+2020,10936904000.0,5984912000.0
+2021,10792563000.0,6037371000.0
+2022,10860220000.0,6096985000.0
+","year,Equity Multiplier
+2020,1.8092053292846684
+2021,1.8074326648274708
+2022,1.7844196263897318
+"
+US,fundamental,"Within the 2023–2025 window, how many times did Tesla's Equity Multiplier decrease from one year to the next? (Use the average of beginning and ending values) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0,hard,solvency,Average Total Assets / Average Stockholders Equity,"year,Assets,AllEquityBalance
+2022,82338000000.0,44704000000.0
+2023,106618000000.0,62634000000.0
+2024,122070000000.0,72913000000.0
+2025,137806000000.0,82137000000.0
+","year,Equity Multiplier
+2023,1.7603830889340215
+2024,1.6871491069518323
+2025,1.6760786842953885
+"
+US,fundamental,"Comparing NVR's Equity Multiplier year by year from 2017 to 2021, how many times did it decrease relative to the preceding year? (Use the average of beginning and ending values) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0,hard,solvency,Average Total Assets / Average Stockholders Equity,"year,Assets,AllEquityBalance
+2016,2643943000.0,1304441000.0
+2017,2989279000.0,1605492000.0
+2018,3165933000.0,1808562000.0
+2019,3809815000.0,2341244000.0
+2020,5777141000.0,3103074000.0
+2021,5834475000.0,3002378000.0
+","year,Equity Multiplier
+2017,1.935859691614893
+2018,1.8029041134088681
+2019,1.6809817133620222
+2020,1.7609103656325733
+2021,1.9018437946936606
+"
+US,fundamental,"Taking 2017 as the starting reference, how many year-over-year decreases occurred in Keurig Dr Pepper's Equity Multiplier up to 2021? (Use the average of beginning and ending values) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",4.0,hard,solvency,Average Total Assets / Average Stockholders Equity,"year,Assets,AllEquityBalance
+2016,9791000000.0,2134000000.0
+2017,10022000000.0,2451000000.0
+2018,48918000000.0,22533000000.0
+2019,49518000000.0,23257000000.0
+2020,49779000000.0,23829000000.0
+2021,50598000000.0,24972000000.0
+","year,Equity Multiplier
+2017,4.3212649945474375
+2018,2.3591098302913864
+2019,2.1497270146320155
+2020,2.1088433929405768
+2021,2.056863588860884
+"
+US,fundamental,"For CMS Energy's Equity Multiplier from 2018 to 2020, count the number of YoY decreases between each consecutive pair of years. (Use the average of beginning and ending values) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0,hard,solvency,Average Total Assets / Average Stockholders Equity,"year,Assets,AllEquityBalance
+2017,23050000000.0,4441000000.0
+2018,24529000000.0,4755000000.0
+2019,26837000000.0,5018000000.0
+2020,29666000000.0,5496000000.0
+","year,Equity Multiplier
+2018,5.1738799478033926
+2019,5.255909137419421
+2020,5.374072665018071
+"
+US,fundamental,"Calculate the EBITDA of Deere & Company from 2019 to 2023 and make a year-over-year comparison. How many times was there a YoY increase? (Indicator unit: $; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.0,hard,valuation,EBITDA = EBIT + D&A = Pretax Income + Interest Expense + D&A,"year,PretaxIncomeLoss,InterestExpense,Depreciation & Amortization
+2019,4088000000.0,1466000000.0,2019000000.0
+2020,3883000000.0,1247000000.0,2118000000.0
+2021,7602000000.0,993000000.0,2050000000.0
+2022,9127000000.0,1062000000.0,1895000000.0
+2023,13019000000.0,2453000000.0,2004000000.0
+","year,EBITDA
+2019,7573000000.0
+2020,7248000000.0
+2021,10645000000.0
+2022,12084000000.0
+2023,17476000000.0
+"
+US,fundamental,"Within the 2017–2021 window, how many times did Pfizer's EBITDA increase from one year to the next? (Indicator unit: $; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0,hard,valuation,EBITDA = EBIT + D&A = Pretax Income + Interest Expense + D&A,"year,PretaxIncomeLoss,InterestExpense,Depreciation & Amortization
+2017,12305000000.0,1518000000.0,0.0
+2018,11885000000.0,1311000000.0,0.0
+2019,17682000000.0,1587000000.0,0.0
+2020,7497000000.0,1641000000.0,0.0
+2021,24311000000.0,1467000000.0,0.0
+","year,EBITDA
+2017,13823000000.0
+2018,13196000000.0
+2019,19269000000.0
+2020,9138000000.0
+2021,25778000000.0
+"
+US,fundamental,"Comparing Cigna's EBITDA year by year from 2019 to 2023, how many times did it decrease relative to the preceding year? (Indicator unit: $; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0,hard,valuation,EBITDA = EBIT + D&A = Pretax Income + Interest Expense + D&A,"year,PretaxIncomeLoss,InterestExpense,DepreciationExpense,AmortizationOfIntangibles
+2019,6570000000.0,1645000000.0,3651000000.0,2949000000.0
+2020,10868000000.0,1439000000.0,2802000000.0,1982000000.0
+2021,6782000000.0,1253000000.0,2923000000.0,1998000000.0
+2022,8353000000.0,1229000000.0,2937000000.0,1876000000.0
+2023,5513000000.0,1330000000.0,3035000000.0,1819000000.0
+","year,EBITDA
+2019,14815000000.0
+2020,17091000000.0
+2021,12956000000.0
+2022,14395000000.0
+2023,11697000000.0
+"
+US,fundamental,"Taking 2023 as the starting reference, how many year-over-year decreases occurred in Public Storage's EBITDA up to 2025? (Indicator unit: $; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,valuation,EBITDA = EBIT + D&A = Pretax Income + Interest Expense + D&A,"year,PretaxIncomeLoss,InterestExpense,Depreciation & Amortization
+2023,2170941000.0,146213000.0,970056000.0
+2024,2089079000.0,269498000.0,1129766000.0
+2025,1789804000.0,273007000.0,1151840000.0
+","year,EBITDA
+2023,3287210000.0
+2024,3488343000.0
+2025,3214651000.0
+"
+US,fundamental,"For Moody's Corporation's EBITDA from 2016 to 2020, count the number of YoY increases between each consecutive pair of years. (Indicator unit: $; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.0,hard,valuation,EBITDA = EBIT + D&A = Pretax Income + Interest Expense + D&A,"year,PretaxIncomeLoss,InterestExpense,Depreciation & Amortization
+2016,558000000.0,137800000.0,126700000.0
+2017,1786800000.0,188400000.0,158300000.0
+2018,1671000000.0,216000000.0,191900000.0
+2019,1810000000.0,208000000.0,200000000.0
+2020,2229000000.0,205000000.0,220000000.0
+","year,EBITDA
+2016,822500000.0
+2017,2133500000.0
+2018,2078900000.0
+2019,2218000000.0
+2020,2654000000.0
+"
+US,fundamental,"Calculate the NOPAT of Caterpillar Inc. from 2019 to 2021 and make a year-over-year comparison. How many times was there a YoY increase? (Indicator unit: $; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,valuation,NOPAT = EBIT x (1 - effective tax rate); EBIT = Pretax Income + Interest Expense; effective tax rate = Income Taxes / Pretax Income,"year,PretaxIncomeLoss,InterestExpense,IncomeTaxes
+2019,7812000000.0,0.0,1746000000.0
+2020,3995000000.0,1103000000.0,1006000000.0
+2021,8204000000.0,455000000.0,1742000000.0
+","year,NOPAT
+2019,6066000000.0
+2020,3814248310.387985
+2021,6820387372.013652
+"
+US,fundamental,"Within the 2020–2022 window, how many times did Ares Management's NOPAT increase from one year to the next? (Indicator unit: $; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,valuation,NOPAT = EBIT x (1 - effective tax rate); EBIT = Pretax Income + Interest Expense; effective tax rate = Income Taxes / Pretax Income,"year,PretaxIncomeLoss,InterestExpense,IncomeTaxes
+2020,379478000.0,257132000.0,54993000.0
+2021,1065690000.0,205085000.0,147385000.0
+2022,510806000.0,320329000.0,71891000.0
+","year,NOPAT
+2020,544354075.4668255
+2021,1095026730.4516323
+2022,714160793.9707052
+"
+US,fundamental,"Comparing F5's NOPAT year by year from 2021 to 2023, how many times did it increase relative to the preceding year? (Indicator unit: $; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,valuation,NOPAT = EBIT x (1 - effective tax rate); EBIT = Pretax Income + Interest Expense; effective tax rate = Income Taxes / Pretax Income,"year,PretaxIncomeLoss,InterestExpense,IncomeTaxes
+2021,386937000.0,5280000.0,99378000.0
+2022,385393000.0,7981000.0,110036000.0
+2023,485988000.0,2970000.0,191569000.0
+","year,NOPAT
+2021,291482924.35977954
+2022,281059294.0660572
+2023,296218271.6486827
+"
+US,fundamental,"Taking 2022 as the starting reference, how many year-over-year decreases occurred in IQVIA's NOPAT up to 2024? (Indicator unit: $; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,hard,valuation,NOPAT = EBIT x (1 - effective tax rate); EBIT = Pretax Income + Interest Expense; effective tax rate = Income Taxes / Pretax Income,"year,PretaxIncomeLoss,InterestExpense,IncomeTaxes
+2022,1363000000.0,416000000.0,260000000.0
+2023,1459000000.0,672000000.0,101000000.0
+2024,1669000000.0,670000000.0,301000000.0
+","year,NOPAT
+2022,1439645634.6294937
+2023,1983480466.0726526
+2024,1917167165.9676452
+"
+US,fundamental,"For CBRE Group's NOPAT from 2019 to 2023, count the number of YoY decreases between each consecutive pair of years. (Indicator unit: $; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.0,hard,valuation,NOPAT = EBIT x (1 - effective tax rate); EBIT = Pretax Income + Interest Expense; effective tax rate = Income Taxes / Pretax Income,"year,PretaxIncomeLoss,InterestExpense,IncomeTaxes
+2019,1361345000.0,86666000.0,365065000.0
+2020,969969000.0,67463000.0,51681000.0
+2021,2409421000.0,41068000.0,330426000.0
+2022,1658190000.0,89223000.0,604366000.0
+2023,1277000000.0,191000000.0,467000000.0
+","year,NOPAT
+2019,1059705217.3255126
+2020,982156498.2138605
+2021,2114430968.5003161
+2022,1110527597.7493532
+2023,931151135.4737667
+"
+US,fundamental,"What is the minimum of Gross Margin for Tapestry from 2022 to 2024? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",69.5699,medium,profitability,(Revenue - COGS) / Revenue * 100%,"year,Revenue,CostOfGoodsAndServicesSold
+2022,6684500000.0,2034100000.0
+2023,6660900000.0,1946000000.0
+2024,6671200000.0,1781700000.0
+","year,Gross Margin
+2022,69.56990051611938
+2023,70.78472879040369
+2024,73.29266099052644
+"
+US,fundamental,"From 2018 to 2020, what is the average of LyondellBasell's Gross Margin? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",14.8183,medium,profitability,(Revenue - COGS) / Revenue * 100%,"year,Revenue,CostOfGoodsAndServicesSold
+2018,39004000000.0,32529000000.0
+2019,34727000000.0,29301000000.0
+2020,27753000000.0,24359000000.0
+","year,Gross Margin
+2018,16.600861450107683
+2019,15.62473003714689
+2020,12.229308543220553
+"
+US,fundamental,"What was the maximum of Gross Margin for Revvity during 2019-2023? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",60.0826,medium,profitability,(Revenue - COGS) / Revenue * 100%,"year,Revenue,CostOfGoodsAndServicesSold
+2019,2883673000.0,1487618000.0
+2020,3782745000.0,1672868000.0
+2021,5067169000.0,2215869000.0
+2022,3311822000.0,1321992000.0
+2023,2750571000.0,1210880000.0
+","year,Gross Margin
+2019,48.41238933818086
+2020,55.776347599428455
+2021,56.270079012561055
+2022,60.082637291496944
+2023,55.97714074641229
+"
+US,fundamental,"For Alphabet Inc. (Class A)'s Gross Margin, what is the minimum over 2021 to 2023? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",55.3794,medium,profitability,(Revenue - COGS) / Revenue * 100%,"year,Revenue,CostOfGoodsAndServicesSold
+2021,257637000000.0,110939000000.0
+2022,282836000000.0,126203000000.0
+2023,307394000000.0,133332000000.0
+","year,Gross Margin
+2021,56.93980290098084
+2022,55.37944250378312
+2023,56.625047984020505
+"
+US,fundamental,"Calculate the minimum of CF Industries's Gross Margin from 2017 to 2019. (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",10.4116,medium,profitability,(Revenue - COGS) / Revenue * 100%,"year,Revenue,CostOfGoodsAndServicesSold
+2017,4130000000.0,3700000000.0
+2018,4429000000.0,3512000000.0
+2019,4590000000.0,3416000000.0
+","year,Gross Margin
+2017,10.411622276029057
+2018,20.704447956649357
+2019,25.577342047930284
+"
+US,fundamental,"What is the maximum of EBIT Margin for HP Inc. from 2023 to 2025? (Unit: %; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",6.9456,medium,profitability,EBIT / Revenue * 100% = (Pretax Income + Interest Expense) / Revenue * 100%,"year,Revenue,PretaxIncomeLoss,InterestExpense
+2023,53718000000.0,2937000000.0,548000000.0
+2024,53559000000.0,3279000000.0,441000000.0
+2025,55295000000.0,2668000000.0,437000000.0
+","year,EBIT Margin
+2023,6.487583305409732
+2024,6.945611381840587
+2025,5.615335925490551
+"
+US,fundamental,"From 2018 to 2022, what is the minimum of Ross Stores's EBIT Margin? (Unit: %; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.763,medium,profitability,EBIT / Revenue * 100% = (Pretax Income + Interest Expense) / Revenue * 100%,"year,Revenue,PretaxIncomeLoss,InterestExpense
+2018,14983541000.0,2050876000.0,18105000.0
+2019,16039073000.0,2164288000.0,12682000.0
+2020,12531565000.0,106297000.0,239953000.0
+2021,18916244000.0,2258540000.0,0.0
+2022,18695829000.0,1987489000.0,0.0
+","year,EBIT Margin
+2018,13.808358117750672
+2019,13.572916589381443
+2020,2.7630228147880973
+2021,11.939685277901892
+2022,10.630654570064799
+"
+US,fundamental,"What was the minimum of EBIT Margin for State Street Corporation during 2018-2020? (Unit: %; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",27.9757,medium,profitability,EBIT / Revenue * 100% = (Pretax Income + Interest Expense) / Revenue * 100%,"year,Revenue,PretaxIncomeLoss,InterestExpense
+2018,11982000000.0,2999000000.0,981000000.0
+2019,11756000000.0,2712000000.0,1382000000.0
+2020,11703000000.0,2899000000.0,375000000.0
+","year,EBIT Margin
+2018,33.216491403772324
+2019,34.82477033004423
+2020,27.975732718106467
+"
+US,fundamental,"For Ametek's EBIT Margin, what is the maximum over 2016 to 2018? (Unit: %; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",22.0791,medium,profitability,EBIT / Revenue * 100% = (Pretax Income + Interest Expense) / Revenue * 100%,"year,Revenue,PretaxIncomeLoss,InterestExpense
+2016,3840087000.0,693103000.0,94304000.0
+2017,4300170000.0,796729000.0,98029000.0
+2018,4845872000.0,987745000.0,82180000.0
+","year,EBIT Margin
+2016,20.504926060268946
+2017,20.807502959185335
+2018,22.07910155282682
+"
+US,fundamental,"Calculate the average of Revvity's EBIT Margin from 2017 to 2021. (Unit: %; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",17.7064,medium,profitability,EBIT / Revenue * 100% = (Pretax Income + Interest Expense) / Revenue * 100%,"year,Revenue,PretaxIncomeLoss,InterestExpense
+2017,2256982000.0,296718000.0,35780000.0
+2018,2777996000.0,257683000.0,56451000.0
+2019,2883673000.0,237142000.0,82693000.0
+2020,3782745000.0,906364000.0,42142000.0
+2021,5067169000.0,1279886000.0,54120000.0
+","year,EBIT Margin
+2017,14.731973936876766
+2018,11.307935648575448
+2019,11.091236766443352
+2020,25.07454242884466
+2021,26.326455659955293
+"
+US,fundamental,"What is the average of EBITDA Margin for CBRE Group from 2021 to 2025? (Unit: %;  Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",7.4156,medium,profitability,(Pretax Income + Interest Expense + D&A) / Revenue * 100%,"year,Revenue,PretaxIncomeLoss,InterestExpense,Depreciation & Amortization
+2021,27746036000.0,2409421000.0,41068000.0,525871000.0
+2022,30828246000.0,1658190000.0,89223000.0,613088000.0
+2023,31949000000.0,1277000000.0,191000000.0,622000000.0
+2024,35767000000.0,1218000000.0,215000000.0,674000000.0
+2025,40550000000.0,1594000000.0,216000000.0,729000000.0
+","year,EBITDA Margin
+2021,10.727153961740697
+2022,7.656942273005088
+2023,6.541675795799555
+2024,5.890905024184304
+2025,6.2614056720098645
+"
+US,fundamental,"From 2016 to 2018, what is the average of Mettler Toledo's EBITDA Margin? (Unit: %;  Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",23.558,medium,profitability,(Pretax Income + Interest Expense + D&A) / Revenue * 100%,"year,Revenue,PretaxIncomeLoss,InterestExpense,Depreciation & Amortization
+2016,2508257000.0,504193000.0,28026000.0,32743000.0
+2017,2725053000.0,574222000.0,32785000.0,33458000.0
+2018,2935586000.0,651858000.0,34511000.0,37167000.0
+","year,EBITDA Margin
+2016,22.52408744398999
+2017,23.502845632727144
+2018,24.64707216889575
+"
+US,fundamental,"What was the average of EBITDA Margin for Paycom during 2020-2024? (Unit: %;  Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",34.2878,medium,profitability,(Pretax Income + Interest Expense + D&A) / Revenue * 100%,"year,Revenue,PretaxIncomeLoss,InterestExpense,Depreciation & Amortization
+2020,841434000.0,185936000.0,19000.0,53373000.0
+2021,1055524000.0,255962000.0,2000.0,67222000.0
+2022,1375218000.0,389578000.0,2536000.0,92699000.0
+2023,1693674000.0,472399000.0,1927000.0,113948000.0
+2024,1883200000.0,649000000.0,3400000.0,145900000.0
+","year,EBITDA Margin
+2020,28.4428725247613
+2021,30.61853638571932
+2022,35.253537984523184
+2023,34.73360280667944
+2024,42.390611724723875
+"
+US,fundamental,"For Quanta Services's EBITDA Margin, what is the maximum over 2019 to 2021? (Unit: %;  Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",8.5722,medium,profitability,(Pretax Income + Interest Expense + D&A) / Revenue * 100%,"year,Revenue,PretaxIncomeLoss,InterestExpense,DepreciationExpense,AmortizationOfIntangibles
+2019,12112153000.0,572287000.0,66890000.0,218107000.0,62091000.0
+2020,11202672000.0,571346000.0,45013000.0,225256000.0,76704000.0
+2021,12980213000.0,622901000.0,68899000.0,255529000.0,165366000.0
+","year,EBITDA Margin
+2019,7.590516731418435
+2020,8.197321139099673
+2021,8.572239916247907
+"
+US,fundamental,"Calculate the minimum of Target Corporation's EBITDA Margin from 2016 to 2020. (Unit: %;  Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",8.7929,medium,profitability,(Pretax Income + Interest Expense + D&A) / Revenue * 100%,"year,Revenue,PretaxIncomeLoss,InterestExpense,Depreciation & Amortization
+2016,69495000000.0,3965000000.0,999000000.0,2298000000.0
+2017,71879000000.0,3646000000.0,678000000.0,2445000000.0
+2018,75356000000.0,3676000000.0,476000000.0,2474000000.0
+2019,78112000000.0,4190000000.0,492000000.0,2604000000.0
+2020,93561000000.0,5546000000.0,939000000.0,2485000000.0
+","year,EBITDA Margin
+2016,10.449672638319303
+2017,9.417215041945491
+2018,8.79292956101704
+2019,9.327632117984432
+2020,9.587328053355565
+"
+US,fundamental,"What is the minimum of Net Profit Margin for Hewlett Packard Enterprise from 2023 to 2025? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.1662,medium,profitability,Net Income / Revenue * 100%,"year,Revenue,NetIncome
+2023,29135000000.0,2025000000.0
+2024,30127000000.0,2579000000.0
+2025,34296000000.0,57000000.0
+","year,Net Profit Margin
+2023,6.950403295006007
+2024,8.560427523483918
+2025,0.16620013995801258
+"
+US,fundamental,"From 2018 to 2020, what is the minimum of Meta Platforms's Net Profit Margin? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",26.1468,medium,profitability,Net Income / Revenue * 100%,"year,Revenue,NetIncome
+2018,55838000000.0,22112000000.0
+2019,70697000000.0,18485000000.0
+2020,85965000000.0,29146000000.0
+","year,Net Profit Margin
+2018,39.60027221605358
+2019,26.14679547929898
+2020,33.90449601582039
+"
+US,fundamental,"What was the maximum of Net Profit Margin for PayPal during 2016-2020? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",23.6087,medium,profitability,Net Income / Revenue * 100%,"year,Revenue,NetIncome
+2016,10842000000.0,1401000000.0
+2017,13094000000.0,1795000000.0
+2018,15451000000.0,2057000000.0
+2019,17772000000.0,2459000000.0
+2020,21454000000.0,5065000000.0
+","year,Net Profit Margin
+2016,12.92197011621472
+2017,13.708568810142049
+2018,13.313054171251052
+2019,13.836371820841773
+2020,23.608651067400018
+"
+US,fundamental,"For Nucor's Net Profit Margin, what is the average over 2016 to 2020? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",6.0103,medium,profitability,Net Income / Revenue * 100%,"year,Revenue,NetIncome
+2016,16208122000.0,796271000.0
+2017,20252393000.0,1318688000.0
+2018,25067279000.0,2360767000.0
+2019,22588858000.0,1271143000.0
+2020,20139658000.0,721470000.0
+","year,Net Profit Margin
+2016,4.9127900197197425
+2017,6.511270050902134
+2018,9.41772339949621
+2019,5.627300857794582
+2020,3.582334913532295
+"
+US,fundamental,"Calculate the average of Marsh McLennan's Net Profit Margin from 2017 to 2021. (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",11.9398,medium,profitability,Net Income / Revenue * 100%,"year,Revenue,NetIncome
+2017,14024000000.0,1492000000.0
+2018,14950000000.0,1650000000.0
+2019,16652000000.0,1742000000.0
+2020,17224000000.0,2016000000.0
+2021,19820000000.0,3143000000.0
+","year,Net Profit Margin
+2017,10.638904734740445
+2018,11.036789297658862
+2019,10.461205861157818
+2020,11.704598235020901
+2021,15.857719475277499
+"
+US,fundamental,"What is the maximum of Return on Equity for Pool Corporation from 2018 to 2020? (Unit: %; Use the average of beginning and ending stockholders’ equity) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",104.9662,medium,profitability,Net Income / Average Stockholders Equity * 100%,"year,NetIncome,AllEquityBalance
+2017,191633000.0,223146000.0
+2018,234461000.0,223590000.0
+2019,261575000.0,410180000.0
+2020,366738000.0,639470000.0
+","year,Return on Equity
+2018,104.96624404570036
+2019,82.54571847831232
+2020,69.87814985947696
+"
+US,fundamental,"From 2017 to 2019, what is the average of Air Products's Return on Equity? (Unit: %; Use the average of beginning and ending stockholders’ equity) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",21.7753,medium,profitability,Net Income / Average Stockholders Equity * 100%,"year,NetIncome,AllEquityBalance
+2016,631100000.0,7079600000.0
+2017,3000400000.0,10086200000.0
+2018,1497800000.0,10857500000.0
+2019,1760000000.0,11053600000.0
+","year,Return on Equity
+2017,34.957881368768135
+2018,14.303107855822992
+2019,16.064916868619104
+"
+US,fundamental,"What was the average of Return on Equity for Dollar General during 2020-2024? (Unit: %; Use the average of beginning and ending stockholders’ equity) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",32.1449,medium,profitability,Net Income / Average Stockholders Equity * 100%,"year,NetIncome,AllEquityBalance
+2019,1712555000.0,6702500000.0
+2020,2655050000.0,6661238000.0
+2021,2399232000.0,6261986000.0
+2022,2415989000.0,5541772000.0
+2023,1661274000.0,6749119000.0
+2024,1125253000.0,7413707000.0
+","year,Return on Equity
+2020,39.73513997356129
+2021,37.13054884756312
+2022,40.93592904903676
+2023,27.03260487787256
+2024,15.890232641423399
+"
+US,fundamental,"For NVR's Return on Equity, what is the average over 2018 to 2022? (Unit: %; Use the average of beginning and ending stockholders’ equity) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",43.1363,medium,profitability,Net Income / Average Stockholders Equity * 100%,"year,NetIncome,AllEquityBalance
+2017,537521000.0,1605492000.0
+2018,797197000.0,1808562000.0
+2019,878539000.0,2341244000.0
+2020,901248000.0,3103074000.0
+2021,1236719000.0,3002378000.0
+2022,1725575000.0,3506849000.0
+","year,Return on Equity
+2018,46.700901626043404
+2019,42.34120823961409
+2020,33.10783830040788
+2021,40.51195554399576
+2022,53.01935237471361
+"
+US,fundamental,"Calculate the minimum of West Pharmaceutical Services's Return on Equity from 2022 to 2024. (Unit: %; Use the average of beginning and ending stockholders’ equity) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",17.7125,medium,profitability,Net Income / Average Stockholders Equity * 100%,"year,NetIncome,AllEquityBalance
+2021,661800000.0,2335400000.0
+2022,585900000.0,2684900000.0
+2023,593400000.0,2881000000.0
+2024,492700000.0,2682300000.0
+","year,Return on Equity
+2022,23.341234587574448
+2023,21.322697137929175
+2024,17.71250876278468
+"
+US,fundamental,"What is the maximum of Return on Assets for International Paper from 2017 to 2021? (Unit: %; Use the average of beginning and ending total assets) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",6.3764,medium,profitability,Net Income / Average Total Assets * 100%,"year,NetIncome,Assets
+2016,904000000.0,33345000000.0
+2017,2144000000.0,33903000000.0
+2018,2012000000.0,33576000000.0
+2019,1225000000.0,33471000000.0
+2020,482000000.0,31718000000.0
+2021,1752000000.0,25243000000.0
+","year,Return on Assets
+2017,6.376397811087318
+2018,5.963336741801153
+2019,3.6541530568108938
+2020,1.4787770942950498
+2021,6.151577395059777
+"
+US,fundamental,"From 2021 to 2025, what is the minimum of Expeditors International's Return on Assets? (Unit: %; Use the average of beginning and ending total assets) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",14.8876,medium,profitability,Net Income / Average Total Assets * 100%,"year,NetIncome,Assets
+2020,696140000.0,4927503000.0
+2021,1415492000.0,7609929000.0
+2022,1357399000.0,5590434000.0
+2023,752883000.0,4523809000.0
+2024,810073000.0,4754458000.0
+2025,810332000.0,4893638000.0
+","year,Return on Assets
+2021,22.58025407435909
+2022,20.56608594778795
+2023,14.887579821841337
+2024,17.461730730534054
+2025,16.797759889619673
+"
+US,fundamental,"What was the maximum of Return on Assets for Deckers Brands during 2020-2022? (Unit: %; Use the average of beginning and ending total assets) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",27.2512,medium,profitability,Net Income / Average Total Assets * 100%,"year,NetIncome,Assets
+2019,340866000.0,1765118000.0
+2020,501514000.0,2167705000.0
+2021,564638000.0,2332250000.0
+2022,666082000.0,2556203000.0
+","year,Return on Assets
+2020,25.504020903051067
+2021,25.09527317495397
+2022,27.251238786585454
+"
+US,fundamental,"For Realty Income's Return on Assets, what is the maximum over 2020 to 2022? (Unit: %; Use the average of beginning and ending total assets) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0129,medium,profitability,Net Income / Average Total Assets * 100%,"year,NetIncome,Assets
+2019,436482000.0,18554796000.0
+2020,395486000.0,20740285000.0
+2021,359456000.0,43137502000.0
+2022,869408000.0,49673092000.0
+","year,Return on Assets
+2020,2.0129033453322056
+2021,1.1254491330452634
+2022,1.8735102589689276
+"
+US,fundamental,"Calculate the maximum of Archer Daniels Midland's Return on Assets from 2018 to 2022. (Unit: %; Use the average of beginning and ending total assets) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",7.4886,medium,profitability,Net Income / Average Total Assets * 100%,"year,NetIncome,Assets
+2017,1595000000.0,39963000000.0
+2018,1810000000.0,40833000000.0
+2019,1379000000.0,43997000000.0
+2020,1772000000.0,49719000000.0
+2021,2709000000.0,56136000000.0
+2022,4340000000.0,59774000000.0
+","year,Return on Assets
+2018,4.480419822763503
+2019,3.2512082989508433
+2020,3.7816381407657174
+2021,5.118322233243588
+2022,7.488568717108102
+"
+US,fundamental,"What is the minimum of Return on Invested Capital for IBM from 2021 to 2023? (Unit: %;  Use the sum of Pretax Income and Interest Expense as EBIT; Use the average of beginning and ending invested capital. Total cash is deducted rather than excess cash. Operating lease liabilities are capitalized and included in debt per ASC 842.) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-2.3125,medium,profitability,ROIC = NOPAT / Average Invested Capital * 100%; NOPAT = EBIT x (1 - effective tax rate); EBIT = Pretax Income + Interest Expense; effective tax rate = Income Taxes / Pretax Income; Invested Capital = Equity (incl. minority) + Total Debt (short + long-term debt + operating lease liabilities) - Cash and Short-Term Investments,"year,PretaxIncomeLoss,InterestExpense,IncomeTaxes,AllEquityBalanceIncludingMinorityInterest,ShortTermDebt,LongTermDebt,OperatingLeaseCurrentDebtEquivalent,OperatingLeaseNonCurrentDebtEquivalent,CashAndMarketableSecurities,ShortTermInvestments
+2020,4637000000.0,1830000000.0,2253000000.0,20727000000.0,7183000000.0,54355000000.0,1357000000.0,3574000000.0,13212000000.0,600000000.0
+2021,4837000000.0,1512000000.0,2103000000.0,18996000000.0,6787000000.0,44917000000.0,974000000.0,2462000000.0,6650000000.0,0.0
+2022,1156000000.0,1401000000.0,1865000000.0,22021000000.0,4760000000.0,46189000000.0,874000000.0,2190000000.0,7886000000.0,0.0
+2023,8690000000.0,1668000000.0,1564000000.0,22613000000.0,6426000000.0,50121000000.0,820000000.0,2568000000.0,13068000000.0,0.0
+","year,Return on Invested Capital
+2021,5.094941842182501
+2022,-2.3124936827498264
+2023,12.34312551072866
+"
+US,fundamental,"From 2017 to 2019, what is the maximum of Archer Daniels Midland's Return on Invested Capital? (Unit: %;  Use the sum of Pretax Income and Interest Expense as EBIT; Use the average of beginning and ending invested capital. Total cash is deducted rather than excess cash. Operating lease liabilities are capitalized and included in debt per ASC 842.) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",9.8195,medium,profitability,ROIC = NOPAT / Average Invested Capital * 100%; NOPAT = EBIT x (1 - effective tax rate); EBIT = Pretax Income + Interest Expense; effective tax rate = Income Taxes / Pretax Income; Invested Capital = Equity (incl. minority) + Total Debt (short + long-term debt + operating lease liabilities) - Cash and Short-Term Investments,"year,PretaxIncomeLoss,InterestExpense,IncomeTaxes,AllEquityBalanceIncludingMinorityInterest,ShortTermDebt,LongTermDebt,OperatingLeaseCurrentDebtEquivalent,OperatingLeaseNonCurrentDebtEquivalent,CashAndMarketableSecurities,ShortTermInvestments
+2016,1822000000.0,283000000.0,534000000.0,17181000000.0,154000000.0,6504000000.0,0.0,0.0,5011000000.0,0.0
+2017,1609000000.0,338000000.0,7000000.0,18322000000.0,857000000.0,6623000000.0,0.0,0.0,4826000000.0,0.0
+2018,2060000000.0,351000000.0,245000000.0,18996000000.0,108000000.0,7698000000.0,0.0,0.0,4506000000.0,6000000.0
+2019,1588000000.0,373000000.0,209000000.0,19225000000.0,1202000000.0,7672000000.0,0.0,0.0,4458000000.0,0.0
+","year,Return on Invested Capital
+2017,9.740375446899254
+2018,9.81951118369589
+2019,7.415073437009088
+"
+US,fundamental,"What was the average of Return on Invested Capital for Moody's Corporation during 2023-2025? (Unit: %;  Use the sum of Pretax Income and Interest Expense as EBIT; Use the average of beginning and ending invested capital. Total cash is deducted rather than excess cash. Operating lease liabilities are capitalized and included in debt per ASC 842.) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",26.3802,medium,profitability,ROIC = NOPAT / Average Invested Capital * 100%; NOPAT = EBIT x (1 - effective tax rate); EBIT = Pretax Income + Interest Expense; effective tax rate = Income Taxes / Pretax Income; Invested Capital = Equity (incl. minority) + Total Debt (short + long-term debt + operating lease liabilities) - Cash and Short-Term Investments,"year,PretaxIncomeLoss,InterestExpense,IncomeTaxes,AllEquityBalanceIncludingMinorityInterest,ShortTermDebt,LongTermDebt,OperatingLeaseCurrentDebtEquivalent,OperatingLeaseNonCurrentDebtEquivalent,CashAndMarketableSecurities,ShortTermInvestments
+2022,1760000000.0,231000000.0,386000000.0,2689000000.0,0.0,7389000000.0,106000000.0,368000000.0,1769000000.0,90000000.0
+2023,1935000000.0,251000000.0,327000000.0,3476000000.0,0.0,7001000000.0,108000000.0,306000000.0,2130000000.0,63000000.0
+2024,2699000000.0,237000000.0,640000000.0,3727000000.0,0.0,6731000000.0,102000000.0,216000000.0,2408000000.0,566000000.0
+2025,3130000000.0,213000000.0,668000000.0,4205000000.0,0.0,6994000000.0,95000000.0,262000000.0,2384000000.0,64000000.0
+","year,Return on Invested Capital
+2023,20.891069469684712
+2024,27.149107974895305
+2025,31.10043587268058
+"
+US,fundamental,"For United Parcel Service's Return on Invested Capital, what is the average over 2017 to 2021? (Unit: %;  Use the sum of Pretax Income and Interest Expense as EBIT; Use the average of beginning and ending invested capital. Total cash is deducted rather than excess cash. Operating lease liabilities are capitalized and included in debt per ASC 842.) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",28.0544,medium,profitability,ROIC = NOPAT / Average Invested Capital * 100%; NOPAT = EBIT x (1 - effective tax rate); EBIT = Pretax Income + Interest Expense; effective tax rate = Income Taxes / Pretax Income; Invested Capital = Equity (incl. minority) + Total Debt (short + long-term debt + operating lease liabilities) - Cash and Short-Term Investments,"year,PretaxIncomeLoss,InterestExpense,IncomeTaxes,AllEquityBalanceIncludingMinorityInterest,ShortTermDebt,LongTermDebt,OperatingLeaseCurrentDebtEquivalent,OperatingLeaseNonCurrentDebtEquivalent,CashAndMarketableSecurities,ShortTermInvestments
+2016,5136000000.0,381000000.0,1705000000.0,429000000.0,3681000000.0,12394000000.0,0.0,0.0,3476000000.0,1091000000.0
+2017,7148000000.0,453000000.0,2238000000.0,1030000000.0,4011000000.0,20278000000.0,0.0,0.0,3320000000.0,749000000.0
+2018,6019000000.0,605000000.0,1228000000.0,3037000000.0,2805000000.0,19931000000.0,0.0,0.0,4225000000.0,810000000.0
+2019,5652000000.0,653000000.0,1212000000.0,3283000000.0,3420000000.0,21818000000.0,538000000.0,2391000000.0,5238000000.0,503000000.0
+2020,1844000000.0,701000000.0,501000000.0,669000000.0,2623000000.0,22031000000.0,560000000.0,2540000000.0,5910000000.0,406000000.0
+2021,16595000000.0,694000000.0,3705000000.0,14269000000.0,0.0,19784000000.0,580000000.0,3033000000.0,10255000000.0,338000000.0
+","year,Return on Invested Capital
+2017,31.465140922201908
+2018,25.11464006923678
+2019,21.327415760547478
+2020,7.752818831551315
+2021,54.6118647720783
+"
+US,fundamental,"Calculate the minimum of 3M's Return on Invested Capital from 2017 to 2019. (Unit: %;  Use the sum of Pretax Income and Interest Expense as EBIT; Use the average of beginning and ending invested capital. Total cash is deducted rather than excess cash. Operating lease liabilities are capitalized and included in debt per ASC 842.) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",18.462,medium,profitability,ROIC = NOPAT / Average Invested Capital * 100%; NOPAT = EBIT x (1 - effective tax rate); EBIT = Pretax Income + Interest Expense; effective tax rate = Income Taxes / Pretax Income; Invested Capital = Equity (incl. minority) + Total Debt (short + long-term debt + operating lease liabilities) - Cash and Short-Term Investments,"year,PretaxIncomeLoss,InterestExpense,IncomeTaxes,AllEquityBalanceIncludingMinorityInterest,ShortTermDebt,LongTermDebt,OperatingLeaseCurrentDebtEquivalent,OperatingLeaseNonCurrentDebtEquivalent,CashAndMarketableSecurities,ShortTermInvestments
+2016,7053000000.0,199000000.0,1995000000.0,10343000000.0,972000000.0,10678000000.0,0.0,0.0,2398000000.0,0.0
+2017,7548000000.0,0.0,2679000000.0,11622000000.0,1853000000.0,12096000000.0,0.0,0.0,3053000000.0,0.0
+2018,7000000000.0,0.0,1637000000.0,9848000000.0,1211000000.0,13411000000.0,0.0,0.0,2853000000.0,380000000.0
+2019,5712000000.0,0.0,1130000000.0,10126000000.0,0.0,17518000000.0,247000000.0,607000000.0,0.0,98000000.0
+","year,Return on Invested Capital
+2017,23.123501056680833
+2018,24.51376985487373
+2019,18.462034369522733
+"
+US,fundamental,"What is the average of Days Inventory Outstanding for ON Semiconductor from 2018 to 2022? (Use the average of beginning and ending inventory; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",123.7315,medium,operational efficiency,Average Inventory / COGS * 365,"year,CostOfGoodsAndServicesSold,Inventories
+2017,3509300000.0,1089500000.0
+2018,3639600000.0,1225200000.0
+2019,3544300000.0,1232400000.0
+2020,3539200000.0,1251400000.0
+2021,4025500000.0,1379500000.0
+2022,4249000000.0,1616800000.0
+","year,Days Inventory Outstanding
+2018,116.06570777008463
+2019,126.54459272634935
+2020,128.07795547016275
+2021,119.27443795801764
+2022,128.69492821840433
+"
+US,fundamental,"From 2021 to 2025, what is the maximum of Amphenol's Days Inventory Outstanding? (Use the average of beginning and ending inventory; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",91.7972,medium,operational efficiency,Average Inventory / COGS * 365,"year,CostOfGoodsAndServicesSold,Inventories
+2020,5934800000.0,1462200000.0
+2021,7474500000.0,1894100000.0
+2022,8594800000.0,2093600000.0
+2023,8470600000.0,2167100000.0
+2024,10083000000.0,2545700000.0
+2025,14577000000.0,3424900000.0
+","year,Days Inventory Outstanding
+2021,81.94859187905546
+2022,84.67390166146973
+2023,91.7972457677142
+2024,85.30060497867697
+2025,74.75025725457914
+"
+US,fundamental,"What was the minimum of Days Inventory Outstanding for Molson Coors Beverage Company during 2020-2022? (Use the average of beginning and ending inventory; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",39.6956,medium,operational efficiency,Average Inventory / COGS * 365,"year,CostOfGoodsAndServicesSold,Inventories
+2019,6378200000.0,615900000.0
+2020,5885700000.0,664300000.0
+2021,6226300000.0,804700000.0
+2022,7045800000.0,792900000.0
+","year,Days Inventory Outstanding
+2020,39.69561819324804
+2021,43.058076225045376
+2022,41.38096454625451
+"
+US,fundamental,"For Emcor's Days Inventory Outstanding, what is the minimum over 2021 to 2023? (Use the average of beginning and ending inventory; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.3337,medium,operational efficiency,Average Inventory / COGS * 365,"year,CostOfGoodsAndServicesSold,Inventories
+2020,7401679000.0,53338000.0
+2021,8401843000.0,54098000.0
+2022,9472526000.0,85641000.0
+2023,10493534000.0,110774000.0
+","year,Days Inventory Outstanding
+2021,2.3336629832287987
+2022,2.692245711439589
+2023,3.415983356989171
+"
+US,fundamental,"Calculate the average of Otis Worldwide's Days Inventory Outstanding from 2023 to 2025. (Use the average of beginning and ending inventory; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",21.6474,medium,operational efficiency,Average Inventory / COGS * 365,"year,CostOfGoodsAndServicesSold,Inventories
+2022,9765000000.0,617000000.0
+2023,10016000000.0,612000000.0
+2024,10004000000.0,557000000.0
+2025,10061000000.0,613000000.0
+","year,Days Inventory Outstanding
+2023,22.393420527156547
+2024,21.325719712115156
+2025,21.22303945929828
+"
+US,fundamental,"What is the average of Days Sales Outstanding for Best Buy from 2018 to 2020? (Use the average of beginning and ending trade receivables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",8.7896,medium,operational efficiency,Average Trade Receivables / Revenue * 365,"year,Revenue,TradeReceivables
+2017,42151000000.0,1049000000.0
+2018,42879000000.0,1015000000.0
+2019,43638000000.0,1149000000.0
+2020,47262000000.0,1061000000.0
+","year,Days Sales Outstanding
+2018,8.784719792905618
+2019,9.050139786424676
+2020,8.53381151876772
+"
+US,fundamental,"From 2023 to 2025, what is the minimum of McDonald's's Days Sales Outstanding? (Use the average of beginning and ending trade receivables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",32.9158,medium,operational efficiency,Average Trade Receivables / Revenue * 365,"year,Revenue,TradeReceivables
+2022,23182600000.0,2115000000.0
+2023,25493700000.0,2488000000.0
+2024,25920000000.0,2383000000.0
+2025,26885000000.0,2466000000.0
+","year,Days Sales Outstanding
+2023,32.95118009547457
+2024,34.29619984567901
+2025,32.91584526687744
+"
+US,fundamental,"What was the maximum of Days Sales Outstanding for Microchip Technology during 2018-2022? (Use the average of beginning and ending trade receivables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",64.8233,medium,operational efficiency,Average Trade Receivables / Revenue * 365,"year,Revenue,TradeReceivables
+2017,3980800000.0,563700000.0
+2018,5349500000.0,880600000.0
+2019,5274200000.0,934000000.0
+2020,5438400000.0,997700000.0
+2021,6820900000.0,1072600000.0
+2022,8438700000.0,1305300000.0
+","year,Days Sales Outstanding
+2018,49.272782503037675
+2019,62.78952258162375
+2020,64.8233395851721
+2021,55.3929466785908
+2022,51.42578240724282
+"
+US,fundamental,"For Hartford (The)'s Days Sales Outstanding, what is the minimum over 2018 to 2020? (Use the average of beginning and ending trade receivables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",73.7304,medium,operational efficiency,Average Trade Receivables / Revenue * 365,"year,Revenue,TradeReceivables
+2017,16974000000.0,3910000000.0
+2018,18955000000.0,3995000000.0
+2019,20740000000.0,4384000000.0
+2020,20523000000.0,4268000000.0
+","year,Days Sales Outstanding
+2018,76.10986547085201
+2019,73.73035197685631
+2020,76.93758222482093
+"
+US,fundamental,"Calculate the average of Allegion's Days Sales Outstanding from 2019 to 2023. (Use the average of beginning and ending trade receivables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",40.4755,medium,operational efficiency,Average Trade Receivables / Revenue * 365,"year,Revenue,TradeReceivables
+2018,2731700000.0,324900000.0
+2019,2854000000.0,329800000.0
+2020,2719900000.0,321800000.0
+2021,2867400000.0,283300000.0
+2022,3271900000.0,395600000.0
+2023,3650800000.0,412800000.0
+","year,Days Sales Outstanding
+2019,41.86501401541696
+2020,43.72109268723115
+2021,38.51250261560996
+2022,37.86767627372475
+2023,40.411142763229975
+"
+US,fundamental,"What is the minimum of Days Payable Outstanding for Devon Energy from 2018 to 2022? (Use the average of beginning and ending trade payables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",86.9207,medium,operational efficiency,Average Trade Payables / COGS * 365,"year,CostOfGoodsAndServicesSold,TradePayables
+2017,7730000000.0,1180000000.0
+2018,4363000000.0,898000000.0
+2019,2812000000.0,730000000.0
+2020,2013000000.0,662000000.0
+2021,4238000000.0,1456000000.0
+2022,5780000000.0,1506000000.0
+","year,Days Payable Outstanding
+2018,86.9206967682787
+2019,105.65789473684211
+2020,126.19970193740686
+2021,91.2069372345446
+2022,93.52335640138408
+"
+US,fundamental,"From 2020 to 2022, what is the minimum of Sysco's Days Payable Outstanding? (Use the average of beginning and ending trade payables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",32.9484,medium,operational efficiency,Average Trade Payables / COGS * 365,"year,CostOfGoodsAndServicesSold,TradePayables
+2019,48704935000.0,4314620000.0
+2020,42991646000.0,3447065000.0
+2021,41941094000.0,4884781000.0
+2022,56315622000.0,5752958000.0
+","year,Days Payable Outstanding
+2020,32.948436365986076
+2021,36.25470272663846
+2022,34.47333614640712
+"
+US,fundamental,"What was the average of Days Payable Outstanding for Target Corporation during 2018-2022? (Use the average of beginning and ending trade payables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",64.9384,medium,operational efficiency,Average Trade Payables / COGS * 365,"year,CostOfGoodsAndServicesSold,TradePayables
+2017,51125000000.0,8677000000.0
+2018,53299000000.0,9761000000.0
+2019,54864000000.0,9920000000.0
+2020,66177000000.0,12859000000.0
+2021,74963000000.0,15478000000.0
+2022,82229000000.0,13487000000.0
+","year,Days Payable Outstanding
+2018,63.133173230266976
+2019,65.46701844561098
+2020,62.818917448660414
+2021,68.9874004508891
+2022,64.28525824222598
+"
+US,fundamental,"For Lilly (Eli)'s Days Payable Outstanding, what is the average over 2019 to 2021? (Use the average of beginning and ending trade payables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",96.9842,medium,operational efficiency,Average Trade Payables / COGS * 365,"year,CostOfGoodsAndServicesSold,TradePayables
+2018,6430000000.0,1412300000.0
+2019,4721200000.0,1405300000.0
+2020,5483300000.0,1606700000.0
+2021,7312800000.0,1670600000.0
+","year,Days Payable Outstanding
+2019,108.91552995001271
+2020,100.24802582386519
+2021,81.78908899463954
+"
+US,fundamental,"Calculate the average of Keurig Dr Pepper's Days Payable Outstanding from 2017 to 2019. (Use the average of beginning and ending trade payables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",130.3383,medium,operational efficiency,Average Trade Payables / COGS * 365,"year,CostOfGoodsAndServicesSold,TradePayables
+2016,2582000000.0,303000000.0
+2017,2695000000.0,365000000.0
+2018,3560000000.0,2300000000.0
+2019,4778000000.0,3176000000.0
+","year,Days Payable Outstanding
+2017,45.23562152133581
+2018,136.6186797752809
+2019,209.16073670992049
+"
+US,fundamental,"What is the average of Operating Cycle for Hormel Foods from 2020 to 2022? (Use the average of beginning and ending inventory and trade receivables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",75.7038,medium,operational efficiency,Days Inventory Outstanding + Days Sales Outstanding,"year,CostOfGoodsAndServicesSold,Inventories,Revenue,TradeReceivables
+2019,7612669000.0,1042362000.0,9497317000.0,574396000.0
+2020,7782498000.0,1072762000.0,9608462000.0,702419000.0
+2021,9458283000.0,1369198000.0,11386189000.0,895719000.0
+2022,10294120000.0,1716059000.0,12458806000.0,867593000.0
+","year,Operating Cycle
+2020,73.8511810138912
+2021,72.73350487392095
+2022,80.52666335502894
+"
+US,fundamental,"From 2021 to 2025, what is the minimum of Generac's Operating Cycle? (Use the average of beginning and ending inventory and trade receivables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",174.9742,medium,operational efficiency,Days Inventory Outstanding + Days Sales Outstanding,"year,CostOfGoodsAndServicesSold,Inventories,Revenue,TradeReceivables
+2020,1527546000.0,603317000.0,2485200000.0,374906000.0
+2021,2377102000.0,1089705000.0,3737184000.0,546466000.0
+2022,3042733000.0,1405384000.0,4564737000.0,522458000.0
+2023,2657236000.0,1167484000.0,4022667000.0,537316000.0
+2024,2630208000.0,1031647000.0,4295834000.0,612107000.0
+2025,2597410000.0,1248867000.0,4209147000.0,602739000.0
+","year,Operating Cycle
+2021,174.97421036646264
+2022,192.3888818694401
+2023,224.78530593240214
+2024,201.42018756632714
+2025,212.90739466398023
+"
+US,fundamental,"What was the maximum of Operating Cycle for Campbell's Company (The) during 2021-2025? (Use the average of beginning and ending inventory and trade receivables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",95.252,medium,operational efficiency,Days Inventory Outstanding + Days Sales Outstanding,"year,CostOfGoodsAndServicesSold,Inventories,Revenue,TradeReceivables
+2020,5692000000.0,871000000.0,8691000000.0,575000000.0
+2021,5665000000.0,933000000.0,8476000000.0,595000000.0
+2022,5935000000.0,1246000000.0,8562000000.0,541000000.0
+2023,6440000000.0,1291000000.0,9357000000.0,529000000.0
+2024,6665000000.0,1386000000.0,9636000000.0,630000000.0
+2025,7134000000.0,1424000000.0,10253000000.0,583000000.0
+","year,Operating Cycle
+2021,83.30822264577998
+2022,91.2177597688263
+2023,92.76420072294499
+2024,95.25195787583259
+2025,93.4756347065719
+"
+US,fundamental,"For Henry Schein's Operating Cycle, what is the minimum over 2020 to 2022? (Use the average of beginning and ending inventory and trade receivables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",112.8694,medium,operational efficiency,Days Inventory Outstanding + Days Sales Outstanding,"year,CostOfGoodsAndServicesSold,Inventories,Revenue,TradeReceivables
+2019,6894917000.0,1428799000.0,9985803000.0,1246246000.0
+2020,7304798000.0,1512499000.0,10119141000.0,1424787000.0
+2021,8728770000.0,1861138000.0,12401021000.0,1451829000.0
+2022,8816000000.0,1963000000.0,12647000000.0,1442000000.0
+","year,Operating Cycle
+2020,121.65657299276792
+2021,112.869374523359
+2022,120.92229347819732
+"
+US,fundamental,"Calculate the minimum of Steel Dynamics's Operating Cycle from 2019 to 2023. (Use the average of beginning and ending inventory and trade receivables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",103.7788,medium,operational efficiency,Days Inventory Outstanding + Days Sales Outstanding,"year,CostOfGoodsAndServicesSold,Inventories,Revenue,TradeReceivables
+2018,9499025000.0,1859168000.0,11801609000.0,1040220000.0
+2019,8934007000.0,1689043000.0,10451132000.0,841378000.0
+2020,8166754000.0,1843548000.0,9587691000.0,967981000.0
+2021,13046426000.0,3531130000.0,18376743000.0,1911385000.0
+2022,16142943000.0,3129964000.0,21469251000.0,1976282000.0
+2023,14749433000.0,2894632000.0,18795316000.0,1608307000.0
+","year,Operating Cycle
+2019,105.33819168665468
+2020,113.38257869135226
+2021,103.77878431402482
+2022,108.35255807675443
+2023,109.3503559612324
+"
+US,fundamental,"What is the maximum of Cash Conversion Cycle for Phillips 66 from 2021 to 2025? (Use the average of beginning and ending inventory, trade receivables, and trade payables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",12.8371,medium,operational efficiency,Days Inventory Outstanding + Days Sales Outstanding - Days Payable Outstanding,"year,CostOfGoodsAndServicesSold,Inventories,Revenue,TradeReceivables,TradePayables
+2020,57707000000.0,3893000000.0,64129000000.0,5688000000.0,5171000000.0
+2021,102102000000.0,3394000000.0,111476000000.0,6138000000.0,7629000000.0
+2022,149932000000.0,3276000000.0,169990000000.0,9497000000.0,10748000000.0
+2023,128086000000.0,3750000000.0,147399000000.0,11730000000.0,10901000000.0
+2024,129962000000.0,3995000000.0,143153000000.0,11033000000.0,10304000000.0
+2025,116093000000.0,5097000000.0,132376000000.0,9771000000.0,8867000000.0
+","year,Cash Conversion Cycle
+2021,9.506532722012494
+2022,2.5356430862536925
+2023,5.446711113529307
+2024,10.118338615921942
+2025,12.837062885630964
+"
+US,fundamental,"From 2018 to 2020, what is the average of Alphabet Inc. (Class A)'s Cash Conversion Cycle? (Use the average of beginning and ending inventory, trade receivables, and trade payables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",34.3436,medium,operational efficiency,Days Inventory Outstanding + Days Sales Outstanding - Days Payable Outstanding,"year,CostOfGoodsAndServicesSold,Inventories,Revenue,TradeReceivables,TradePayables
+2017,45583000000.0,749000000.0,110855000000.0,18336000000.0,3137000000.0
+2018,59549000000.0,1107000000.0,136819000000.0,20838000000.0,4378000000.0
+2019,71896000000.0,999000000.0,161857000000.0,25326000000.0,5561000000.0
+2020,84732000000.0,728000000.0,182527000000.0,30930000000.0,5589000000.0
+","year,Cash Conversion Cycle
+2018,34.91022417415698
+2019,32.168488257287244
+2020,35.95195189966975
+"
+US,fundamental,"What was the minimum of Cash Conversion Cycle for Stanley Black & Decker during 2021-2025? (Use the average of beginning and ending inventory, trade receivables, and trade payables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",76.1628,medium,operational efficiency,Days Inventory Outstanding + Days Sales Outstanding - Days Payable Outstanding,"year,CostOfGoodsAndServicesSold,Inventories,Revenue,TradeReceivables,TradePayables
+2020,9566700000.0,2737400000.0,14534600000.0,1512200000.0,2446400000.0
+2021,10423000000.0,5446800000.0,15617200000.0,1560800000.0,3438900000.0
+2022,12663300000.0,5861100000.0,16947400000.0,1231000000.0,2344400000.0
+2023,11848500000.0,4738600000.0,15781100000.0,1302000000.0,2298900000.0
+2024,10851300000.0,4536400000.0,15365700000.0,1153700000.0,2437200000.0
+2025,10542100000.0,4157100000.0,15130400000.0,919700000.0,2163000000.0
+","year,Cash Conversion Cycle
+2021,76.16282118400962
+2022,109.68283225830523
+2023,121.03799309235758
+2024,105.50300828446579
+2025,95.87028766274993
+"
+US,fundamental,"For Henry Schein's Cash Conversion Cycle, what is the maximum over 2020 to 2022? (Use the average of beginning and ending inventory, trade receivables, and trade payables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",78.321,medium,operational efficiency,Days Inventory Outstanding + Days Sales Outstanding - Days Payable Outstanding,"year,CostOfGoodsAndServicesSold,Inventories,Revenue,TradeReceivables,TradePayables
+2019,6894917000.0,1428799000.0,9985803000.0,1246246000.0,880266000.0
+2020,7304798000.0,1512499000.0,10119141000.0,1424787000.0,1005655000.0
+2021,8728770000.0,1861138000.0,12401021000.0,1451829000.0,1053934000.0
+2022,8816000000.0,1963000000.0,12647000000.0,1442000000.0,1004000000.0
+","year,Cash Conversion Cycle
+2020,74.53951616244899
+2021,69.80775272555701
+2022,78.32100547910477
+"
+US,fundamental,"Calculate the minimum of Amgen's Cash Conversion Cycle from 2019 to 2021. (Use the average of beginning and ending inventory, trade receivables, and trade payables; one year is assumed to have 365 days) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",200.4271,medium,operational efficiency,Days Inventory Outstanding + Days Sales Outstanding - Days Payable Outstanding,"year,CostOfGoodsAndServicesSold,Inventories,Revenue,TradeReceivables,TradePayables
+2018,4101000000.0,2940000000.0,45066000000.0,3580000000.0,1207000000.0
+2019,4356000000.0,3584000000.0,23362000000.0,4057000000.0,1371000000.0
+2020,6159000000.0,3893000000.0,25424000000.0,4525000000.0,1421000000.0
+2021,6454000000.0,4086000000.0,25979000000.0,4895000000.0,1366000000.0
+","year,Cash Conversion Cycle
+2019,224.98149833077963
+2020,200.4270663235564
+2021,212.9889812434975
+"
+US,fundamental,"What is the minimum of Inventory Turnover for FirstEnergy from 2020 to 2024? (Use the average of beginning and ending inventory) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.8746,medium,operational efficiency,COGS / Average Inventory,"year,CostOfGoodsAndServicesSold,Inventories
+2019,497000000.0,281000000.0
+2020,369000000.0,317000000.0
+2021,481000000.0,260000000.0
+2022,730000000.0,421000000.0
+2023,538000000.0,512000000.0
+2024,464000000.0,549000000.0
+","year,Inventory Turnover
+2020,1.234113712374582
+2021,1.6672443674176776
+2022,2.1439060205580027
+2023,1.1532690246516613
+2024,0.8746465598491989
+"
+US,fundamental,"From 2017 to 2019, what is the minimum of Schlumberger's Inventory Turnover? (Use the average of beginning and ending inventory) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",4.4024,medium,operational efficiency,COGS / Average Inventory,"year,CostOfGoodsAndServicesSold,Inventories
+2016,17876000000.0,4225000000.0
+2017,18206000000.0,4046000000.0
+2018,28478000000.0,4010000000.0
+2019,28720000000.0,4130000000.0
+","year,Inventory Turnover
+2017,4.402369725547092
+2018,7.070009930486594
+2019,7.056511056511057
+"
+US,fundamental,"What was the maximum of Inventory Turnover for Caterpillar Inc. during 2023-2025? (Use the average of beginning and ending inventory) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.605,medium,operational efficiency,COGS / Average Inventory,"year,CostOfGoodsAndServicesSold,Inventories
+2022,41350000000.0,16270000000.0
+2023,42767000000.0,16565000000.0
+2024,40199000000.0,16827000000.0
+2025,44752000000.0,18135000000.0
+","year,Inventory Turnover
+2023,2.604964215014466
+2024,2.4077024436990895
+2025,2.5600366111778503
+"
+US,fundamental,"For GE Aerospace's Inventory Turnover, what is the maximum over 2019 to 2021? (Use the average of beginning and ending inventory) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",4.1965,medium,operational efficiency,COGS / Average Inventory,"year,CostOfGoodsAndServicesSold,Inventories
+2018,92671000000.0,19271000000.0
+2019,70029000000.0,14104000000.0
+2020,60421000000.0,15890000000.0
+2021,53896000000.0,15847000000.0
+","year,Inventory Turnover
+2019,4.196494382022472
+2020,4.028872441154897
+2021,3.396414279862621
+"
+US,fundamental,"Calculate the minimum of PPL Corporation's Inventory Turnover from 2021 to 2023. (Use the average of beginning and ending inventory) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",4.7086,medium,operational efficiency,COGS / Average Inventory,"year,CostOfGoodsAndServicesSold,Inventories
+2020,1944000000.0,361000000.0
+2021,1608000000.0,322000000.0
+2022,2398000000.0,443000000.0
+2023,2462000000.0,505000000.0
+","year,Inventory Turnover
+2021,4.708638360175695
+2022,6.269281045751634
+2023,5.194092827004219
+"
+US,fundamental,"What is the minimum of Receivables Turnover for CVS Health from 2018 to 2022? (Use the average of beginning and ending trade receivables) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",12.4729,medium,operational efficiency,Revenue / Average Trade Receivables,"year,Revenue,TradeReceivables
+2017,184765000000.0,13181000000.0
+2018,194579000000.0,17631000000.0
+2019,256776000000.0,19617000000.0
+2020,268706000000.0,21742000000.0
+2021,292111000000.0,24431000000.0
+2022,322467000000.0,27276000000.0
+","year,Receivables Turnover
+2018,12.630079189926002
+2019,13.787371134020619
+2020,12.993834473754202
+2021,12.652892382994391
+2022,12.472856673177713
+"
+US,fundamental,"From 2018 to 2020, what is the minimum of Henry Schein's Receivables Turnover? (Use the average of beginning and ending trade receivables) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",7.0077,medium,operational efficiency,Revenue / Average Trade Receivables,"year,Revenue,TradeReceivables
+2017,12461543000.0,1470047000.0
+2018,13201995000.0,1603711000.0
+2019,9985803000.0,1246246000.0
+2020,10119141000.0,1424787000.0
+","year,Receivables Turnover
+2018,8.590132990300473
+2019,7.007686782642685
+2020,7.57694944240674
+"
+US,fundamental,"What was the maximum of Receivables Turnover for Lululemon Athletica during 2018-2022? (Use the average of beginning and ending trade receivables) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",119.6644,medium,operational efficiency,Revenue / Average Trade Receivables,"year,Revenue,TradeReceivables
+2017,2649181000.0,19173000.0
+2018,3288319000.0,35786000.0
+2019,3979296000.0,40219000.0
+2020,4401879000.0,62399000.0
+2021,6256617000.0,77001000.0
+2022,8110518000.0,132906000.0
+","year,Receivables Turnover
+2018,119.66444076493386
+2019,104.71142687981055
+2020,85.79155703677718
+2021,89.76494978479197
+2022,77.27725135417113
+"
+US,fundamental,"For Norwegian Cruise Line Holdings's Receivables Turnover, what is the minimum over 2023 to 2025? (Use the average of beginning and ending trade receivables) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",28.1923,medium,operational efficiency,Revenue / Average Trade Receivables,"year,Revenue,TradeReceivables
+2022,4843760000.0,326272000.0
+2023,8549924000.0,280271000.0
+2024,9479651000.0,221412000.0
+2025,9827592000.0,291659000.0
+","year,Receivables Turnover
+2023,28.19230953122862
+2024,37.791398153814264
+2025,38.30889681934859
+"
+US,fundamental,"Calculate the average of Amgen's Receivables Turnover from 2018 to 2020. (Use the average of beginning and ending trade receivables) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",8.4216,medium,operational efficiency,Revenue / Average Trade Receivables,"year,Revenue,TradeReceivables
+2017,22849000000.0,3237000000.0
+2018,45066000000.0,3580000000.0
+2019,23362000000.0,4057000000.0
+2020,25424000000.0,4525000000.0
+","year,Receivables Turnover
+2018,13.221651752970516
+2019,6.118109205185283
+2020,5.924959216965743
+"
+US,fundamental,"What is the minimum of Payables Turnover for Ametek from 2022 to 2024? (Use the average of beginning and ending trade payables) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",8.2806,medium,operational efficiency,COGS / Average Trade Payables,"year,CostOfGoodsAndServicesSold,TradePayables
+2021,3633900000.0,470252000.0
+2022,4005261000.0,497134000.0
+2023,4212485000.0,516588000.0
+2024,4464713000.0,523332000.0
+","year,Payables Turnover
+2022,8.280584999162691
+2023,8.310927453483302
+2024,8.58664704977306
+"
+US,fundamental,"From 2020 to 2024, what is the minimum of Genuine Parts Company's Payables Turnover? (Use the average of beginning and ending trade payables) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.6197,medium,operational efficiency,COGS / Average Trade Payables,"year,CostOfGoodsAndServicesSold,TradePayables
+2019,13076036000.0,4106163000.0
+2020,10882592000.0,4128084000.0
+2021,12236374000.0,4804939000.0
+2022,14355869000.0,5456550000.0
+2023,14799938000.0,5499536000.0
+2024,14962954000.0,5923684000.0
+","year,Payables Turnover
+2020,2.6432512894014475
+2021,2.739581886221495
+2022,2.798008943926169
+2023,2.7016834296481425
+2024,2.6197436449617535
+"
+US,fundamental,"What was the minimum of Payables Turnover for Mosaic Company (The) during 2023-2025? (Use the average of beginning and ending trade payables) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",8.2731,medium,operational efficiency,COGS / Average Trade Payables,"year,CostOfGoodsAndServicesSold,TradePayables
+2022,13369400000.0,1292500000.0
+2023,11485500000.0,1166900000.0
+2024,9610900000.0,1156500000.0
+2025,10150500000.0,1171900000.0
+","year,Payables Turnover
+2023,9.340082947060258
+2024,8.273134199879488
+2025,8.718862738361107
+"
+US,fundamental,"For Vertex Pharmaceuticals's Payables Turnover, what is the average over 2019 to 2023? (Use the average of beginning and ending trade payables) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",4.9705,medium,operational efficiency,COGS / Average Trade Payables,"year,CostOfGoodsAndServicesSold,TradePayables
+2018,409539000.0,110987000.0
+2019,547758000.0,87610000.0
+2020,736300000.0,155139000.0
+2021,904200000.0,195000000.0
+2022,1080300000.0,303900000.0
+2023,1262200000.0,364900000.0
+","year,Payables Turnover
+2019,5.51627668091663
+2020,6.066348368067428
+2021,5.164805977054827
+2022,4.330727600721588
+2023,3.7745215311004783
+"
+US,fundamental,"Calculate the average of Quanta Services's Payables Turnover from 2021 to 2025. (Use the average of beginning and ending trade payables) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",6.2233,medium,operational efficiency,COGS / Average Trade Payables,"year,CostOfGoodsAndServicesSold,TradePayables
+2020,9541825000.0,1509794000.0
+2021,11026954000.0,2254671000.0
+2022,14544748000.0,2153129000.0
+2023,17945120000.0,3061242000.0
+2024,20162034000.0,3722343000.0
+2025,24204616000.0,4579458000.0
+","year,Payables Turnover
+2021,5.858444161388139
+2022,6.599549888833431
+2023,6.882947147412411
+2024,5.944359509020673
+2025,5.831172296228252
+"
+US,fundamental,"What is the maximum of Total Asset Turnover for Mosaic Company (The) from 2017 to 2021? (Use the average of beginning and ending total assets) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.5909,medium,operational efficiency,Revenue / Average Total Assets,"year,Revenue,Assets
+2016,7162800000.0,16840700000.0
+2017,7409400000.0,18633400000.0
+2018,10407400000.0,20119200000.0
+2019,9858800000.0,19298500000.0
+2020,8681700000.0,19789800000.0
+2021,12357400000.0,22036400000.0
+","year,Total Asset Turnover
+2017,0.41773575650967887
+2018,0.537120090006864
+2019,0.5002219814956225
+2020,0.44420964841141725
+2021,0.590892789686847
+"
+US,fundamental,"From 2019 to 2023, what is the maximum of Archer Daniels Midland's Total Asset Turnover? (Use the average of beginning and ending total assets) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.7523,medium,operational efficiency,Revenue / Average Total Assets,"year,Revenue,Assets
+2018,64341000000.0,40833000000.0
+2019,64656000000.0,43997000000.0
+2020,64355000000.0,49719000000.0
+2021,85249000000.0,56136000000.0
+2022,101556000000.0,59774000000.0
+2023,93935000000.0,54631000000.0
+","year,Total Asset Turnover
+2019,1.5243663798184603
+2020,1.3734047547910708
+2021,1.6106749799253697
+2022,1.7523250798032957
+2023,1.6421485074953017
+"
+US,fundamental,"What was the CAGR of Total Asset Turnover for AT&T during 2017-2021? (Use the average of beginning and ending total assets) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-4.6149,medium,operational efficiency,Revenue / Average Total Assets,"year,Revenue,Assets
+2016,163786000000.0,403821000000.0
+2017,160546000000.0,444097000000.0
+2018,170756000000.0,531864000000.0
+2019,181193000000.0,551669000000.0
+2020,171760000000.0,525761000000.0
+2021,168864000000.0,551622000000.0
+","year,Total Asset Turnover
+2017,0.3786828443316453
+2018,0.34992381867718075
+2019,0.33444851241263535
+2020,0.31883277799949883
+2021,0.31347069705016695
+"
+US,fundamental,"For Builders FirstSource's Total Asset Turnover, what is the average over 2023 to 2025? (Use the average of beginning and ending total assets) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.5231,medium,operational efficiency,Revenue / Average Total Assets,"year,Revenue,Assets
+2022,22726418000.0,10595160000.0
+2023,17097330000.0,10499452000.0
+2024,16400492000.0,10583086000.0
+2025,15190638000.0,11237530000.0
+","year,Total Asset Turnover
+2023,1.6210139347431467
+2024,1.5558365885549452
+2025,1.3923198135194716
+"
+US,fundamental,"Calculate the CAGR of Alphabet Inc. (Class A)'s Total Asset Turnover from 2020 to 2024. (Use the average of beginning and ending total assets) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",7.578,medium,operational efficiency,Revenue / Average Total Assets,"year,Revenue,Assets
+2019,161857000000.0,275909000000.0
+2020,182527000000.0,319616000000.0
+2021,257637000000.0,359268000000.0
+2022,282836000000.0,365264000000.0
+2023,307394000000.0,402392000000.0
+2024,350018000000.0,450256000000.0
+","year,Total Asset Turnover
+2020,0.6129952562864699
+2021,0.7590015378179483
+2022,0.7807412233000061
+2023,0.8008639286347009
+2024,0.8210140644204877
+"
+US,fundamental,"What is the maximum of Fixed Asset Turnover for Revvity from 2018 to 2022? (Use the average of beginning and ending fixed assets) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",11.089,medium,operational efficiency,Revenue / Average Net PP&E,"year,Revenue,PlantPropertyEquipmentNet
+2017,2256982000.0,298066000.0
+2018,2777996000.0,318590000.0
+2019,2883673000.0,318223000.0
+2020,3782745000.0,368304000.0
+2021,5067169000.0,545605000.0
+2022,3311822000.0,482950000.0
+","year,Fixed Asset Turnover
+2018,9.009872603201785
+2019,9.056577048521309
+2020,11.019945318975074
+2021,11.08900120252673
+2022,6.4397567461146945
+"
+US,fundamental,"From 2018 to 2020, what is the average of UnitedHealth Group's Fixed Asset Turnover? (Use the average of beginning and ending fixed assets) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",29.0479,medium,operational efficiency,Revenue / Average Net PP&E,"year,Revenue,PlantPropertyEquipmentNet
+2017,201159000000.0,7013000000.0
+2018,226247000000.0,8458000000.0
+2019,242155000000.0,8704000000.0
+2020,257141000000.0,8626000000.0
+","year,Fixed Asset Turnover
+2018,29.247883136190293
+2019,28.219904440041955
+2020,29.675822273514136
+"
+US,fundamental,"What was the maximum of Fixed Asset Turnover for Amazon during 2021-2023? (Use the average of beginning and ending fixed assets) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.4369,medium,operational efficiency,Revenue / Average Net PP&E,"year,Revenue,PlantPropertyEquipmentNet
+2020,386064000000.0,113114000000.0
+2021,469822000000.0,160281000000.0
+2022,513983000000.0,186715000000.0
+2023,574785000000.0,204177000000.0
+","year,Fixed Asset Turnover
+2021,3.4369465425483274
+2022,2.9624721898811512
+2023,2.9408890435209725
+"
+US,fundamental,"For Danaher Corporation's Fixed Asset Turnover, what is the maximum over 2021 to 2025? (Use the average of beginning and ending fixed assets) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",8.3531,medium,operational efficiency,Revenue / Average Net PP&E,"year,Revenue,PlantPropertyEquipmentNet
+2020,22284000000.0,3262000000.0
+2021,29453000000.0,3790000000.0
+2022,31471000000.0,3956000000.0
+2023,23890000000.0,4553000000.0
+2024,23875000000.0,4990000000.0
+2025,24568000000.0,5531000000.0
+","year,Fixed Asset Turnover
+2021,8.35309132161089
+2022,8.12574231861606
+2023,5.615230931954401
+2024,5.003667609766321
+2025,4.670278490637772
+"
+US,fundamental,"Calculate the minimum of Jack Henry & Associates's Fixed Asset Turnover from 2022 to 2024. (Use the average of beginning and ending fixed assets) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",8.3711,medium,operational efficiency,Revenue / Average Net PP&E,"year,Revenue,PlantPropertyEquipmentNet
+2021,1758225000.0,252481000.0
+2022,1942884000.0,211709000.0
+2023,2077702000.0,205664000.0
+2024,2215543000.0,215069000.0
+","year,Fixed Asset Turnover
+2022,8.371072190266917
+2023,9.956092032786021
+2024,10.531824221061813
+"
+US,fundamental,"What is the minimum of Working Capital Turnover for Axon Enterprise from 2017 to 2019? (Use the average of beginning and ending net working capital) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.3017,medium,operational efficiency,Revenue / Average Net Working Capital,"year,Revenue,CurrentAssetsTotal,CurrentLiabilitiesTotal
+2016,268245000.0,177231000.0,78039000.0
+2017,285859000.0,205192000.0,107950000.0
+2018,420068000.0,558155000.0,166011000.0
+2019,530860000.0,619091000.0,195566000.0
+","year,Working Capital Turnover
+2017,2.9104839284441595
+2018,1.7167144135712913
+2019,1.3016554509243332
+"
+US,fundamental,"From 2023 to 2025, what is the average of Ametek's Working Capital Turnover? (Use the average of beginning and ending net working capital) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",22.4571,medium,operational efficiency,Revenue / Average Net Working Capital,"year,Revenue,CurrentAssetsTotal,CurrentLiabilitiesTotal
+2022,6150530000.0,2528058000.0,1564202000.0
+2023,6596950000.0,2824668000.0,2882573000.0
+2024,6941180000.0,2603032000.0,2098587000.0
+2025,7401116000.0,3019842000.0,2842752000.0
+","year,Working Capital Turnover
+2023,14.563591187602862
+2024,31.088726653827205
+2025,21.71896087508345
+"
+US,fundamental,"What was the average of Working Capital Turnover for Ulta Beauty during 2021-2023? (Use the average of beginning and ending net working capital) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",10.3122,medium,operational efficiency,Revenue / Average Net Working Capital,"year,Revenue,CurrentAssetsTotal,CurrentLiabilitiesTotal
+2020,6151953000.0,2514777000.0,1343713000.0
+2021,8630889000.0,2281183000.0,1558010000.0
+2022,10208580000.0,2709304000.0,1681775000.0
+2023,11207303000.0,2836518000.0,1658191000.0
+","year,Working Capital Turnover
+2021,9.112786837127562
+2022,11.662270334985623
+2023,10.161409448304875
+"
+US,fundamental,"For American Tower's Working Capital Turnover, what is the minimum over 2023 to 2025? (Use the average of beginning and ending net working capital) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-2.7238,medium,operational efficiency,Revenue / Average Net Working Capital,"year,Revenue,CurrentAssetsTotal,CurrentLiabilitiesTotal
+2022,10711100000.0,3622300000.0,8311900000.0
+2023,11144200000.0,3710000000.0,7249300000.0
+2024,10127200000.0,3178800000.0,7075600000.0
+2025,10644600000.0,2741800000.0,6913800000.0
+","year,Working Capital Turnover
+2023,-2.708551568253351
+2024,-2.7237933863180968
+2025,-2.638459250446163
+"
+US,fundamental,"Calculate the average of United Airlines Holdings's Working Capital Turnover from 2023 to 2025. (Use the average of beginning and ending net working capital) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-17.3538,medium,operational efficiency,Revenue / Average Net Working Capital,"year,Revenue,CurrentAssetsTotal,CurrentLiabilitiesTotal
+2022,44955000000.0,20058000000.0,19992000000.0
+2023,53717000000.0,18487000000.0,22203000000.0
+2024,57063000000.0,18883000000.0,23314000000.0
+2025,59070000000.0,16857000000.0,26133000000.0
+","year,Working Capital Turnover
+2023,-29.433972602739725
+2024,-14.008346630661594
+2025,-8.61895381921646
+"
+US,fundamental,"What is the minimum of Current Ratio for Williams-Sonoma from 2019 to 2023? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0908,medium,solvency,Current Assets / Current Liabilities,"year,CurrentAssetsTotal,CurrentLiabilitiesTotal
+2019,1755635000.0,1609555000.0
+2020,2467080000.0,1848000000.0
+2021,2323894000.0,1771686000.0
+2022,2036080000.0,1636451000.0
+2023,2719797000.0,1880315000.0
+","year,Current Ratio
+2019,1.0907580045416279
+2020,1.335
+2021,1.3116850277080703
+2022,1.2442046844054604
+2023,1.4464581732316129
+"
+US,fundamental,"From 2016 to 2018, what is the minimum of Campbell's Company (The)'s Current Ratio? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.6388,medium,solvency,Current Assets / Current Liabilities,"year,CurrentAssetsTotal,CurrentLiabilitiesTotal
+2016,1908000000.0,2555000000.0
+2017,1900000000.0,2395000000.0
+2018,2296000000.0,3594000000.0
+","year,Current Ratio
+2016,0.7467710371819961
+2017,0.7933194154488518
+2018,0.6388425153032833
+"
+US,fundamental,"What was the maximum of Current Ratio for W. W. Grainger during 2022-2024? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.8804,medium,solvency,Current Assets / Current Liabilities,"year,CurrentAssetsTotal,CurrentLiabilitiesTotal
+2022,4977000000.0,2010000000.0
+2023,5274000000.0,1831000000.0
+2024,5737000000.0,2305000000.0
+","year,Current Ratio
+2022,2.476119402985075
+2023,2.8803932277444018
+2024,2.488937093275488
+"
+US,fundamental,"For Builders FirstSource's Current Ratio, what is the maximum over 2017 to 2019? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.8786,medium,solvency,Current Assets / Current Liabilities,"year,CurrentAssetsTotal,CurrentLiabilitiesTotal
+2017,1395868000.0,798354000.0
+2018,1373751000.0,731259000.0
+2019,1306867000.0,821301000.0
+","year,Current Ratio
+2017,1.7484323996623052
+2018,1.8786107247910795
+2019,1.591215644447042
+"
+US,fundamental,"Calculate the minimum of Howmet Aerospace's Current Ratio from 2022 to 2024. According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.8587,medium,solvency,Current Assets / Current Liabilities,"year,CurrentAssetsTotal,CurrentLiabilitiesTotal
+2022,3143000000.0,1482000000.0
+2023,3316000000.0,1784000000.0
+2024,3362000000.0,1549000000.0
+","year,Current Ratio
+2022,2.120782726045884
+2023,1.858744394618834
+2024,2.170432537120723
+"
+US,fundamental,"What is the minimum of Quick Ratio for Microchip Technology from 2022 to 2024? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.5594,medium,solvency,(Current Assets - Inventory) / Current Liabilities,"year,CurrentAssetsTotal,CurrentLiabilitiesTotal,Inventories
+2022,3069300000.0,3118600000.0,1324900000.0
+2023,3013000000.0,2519400000.0,1316000000.0
+2024,2991300000.0,1155100000.0,1293500000.0
+","year,Quick Ratio
+2022,0.5593535560828576
+2023,0.6735730729538779
+2024,1.4698294519954982
+"
+US,fundamental,"From 2017 to 2021, what is the average of Hologic's Quick Ratio? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.2629,medium,solvency,(Current Assets - Inventory) / Current Liabilities,"year,CurrentAssetsTotal,CurrentLiabilitiesTotal,Inventories
+2017,1478600000.0,1865500000.0,331600000.0
+2018,1723200000.0,1402600000.0,384100000.0
+2019,1793100000.0,1070100000.0,444900000.0
+2020,2222300000.0,1239300000.0,395100000.0
+2021,3168700000.0,1326800000.0,501200000.0
+","year,Quick Ratio
+2017,0.6148485660680783
+2018,0.9547269356908599
+2019,1.2598822539949537
+2020,1.4743806987815702
+2021,2.01047633403678
+"
+US,fundamental,"What was the minimum of Quick Ratio for Skyworks Solutions during 2021-2025? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.6446,medium,solvency,(Current Assets - Inventory) / Current Liabilities,"year,CurrentAssetsTotal,CurrentLiabilitiesTotal,Inventories
+2021,2865400000.0,658500000.0,885000000.0
+2022,3229900000.0,1226900000.0,1212100000.0
+2023,3179500000.0,955700000.0,1119700000.0
+2024,3341000000.0,602700000.0,784800000.0
+2025,3077000000.0,1323200000.0,754700000.0
+","year,Quick Ratio
+2021,3.007441154138193
+2022,1.6446328144103024
+2023,2.15527885319661
+2024,4.241247718599635
+2025,1.7550634824667473
+"
+US,fundamental,"For Valero Energy's Quick Ratio, what is the maximum over 2023 to 2025? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.1093,medium,solvency,(Current Assets - Inventory) / Current Liabilities,"year,CurrentAssetsTotal,CurrentLiabilitiesTotal,Inventories
+2023,26221000000.0,16802000000.0,7583000000.0
+2024,23737000000.0,15495000000.0,7761000000.0
+2025,23210000000.0,14109000000.0,7591000000.0
+","year,Quick Ratio
+2023,1.109272705630282
+2024,1.0310422717005485
+2025,1.1070238854631795
+"
+US,fundamental,"Calculate the minimum of Archer Daniels Midland's Quick Ratio from 2016 to 2018. According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.8554,medium,solvency,(Current Assets - Inventory) / Current Liabilities,"year,CurrentAssetsTotal,CurrentLiabilitiesTotal,Inventories
+2016,21045000000.0,13173000000.0,8831000000.0
+2017,19925000000.0,12570000000.0,9173000000.0
+2018,20588000000.0,11776000000.0,8813000000.0
+","year,Quick Ratio
+2016,0.9271995748880285
+2017,0.8553699284009546
+2018,0.9999150815217391
+"
+US,fundamental,"What is the average of Cash Ratio for LyondellBasell from 2017 to 2021? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.334,medium,solvency,(Cash + Short-Term Investments) / Current Liabilities,"year,CashAndMarketableSecurities,ShortTermInvestments,CurrentLiabilitiesTotal
+2017,1523000000.0,1307000000.0,4777000000.0
+2018,332000000.0,892000000.0,5513000000.0
+2019,858000000.0,196000000.0,5198000000.0
+2020,1763000000.0,702000000.0,5502000000.0
+2021,1472000000.0,9000000.0,7230000000.0
+","year,Cash Ratio
+2017,0.5924220221896588
+2018,0.22202067839651732
+2019,0.2027702962677953
+2020,0.4480189022173755
+2021,0.20484094052558782
+"
+US,fundamental,"From 2017 to 2021, what is the maximum of IQVIA's Cash Ratio? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.4173,medium,solvency,(Cash + Short-Term Investments) / Current Liabilities,"year,CashAndMarketableSecurities,ShortTermInvestments,CurrentLiabilitiesTotal
+2017,959000000.0,46000000.0,2904000000.0
+2018,891000000.0,47000000.0,3534000000.0
+2019,837000000.0,62000000.0,3945000000.0
+2020,1814000000.0,88000000.0,4558000000.0
+2021,1366000000.0,111000000.0,5241000000.0
+","year,Cash Ratio
+2017,0.34607438016528924
+2018,0.2654216185625354
+2019,0.2278833967046895
+2020,0.41728828433523474
+2021,0.28181644724289256
+"
+US,fundamental,"What was the minimum of Cash Ratio for Bristol Myers Squibb during 2016-2020? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.7123,medium,solvency,(Cash + Short-Term Investments) / Current Liabilities,"year,CashAndMarketableSecurities,ShortTermInvestments,CurrentLiabilitiesTotal
+2016,4237000000.0,2113000000.0,8841000000.0
+2017,5421000000.0,1391000000.0,9563000000.0
+2018,6911000000.0,1973000000.0,10654000000.0
+2019,12346000000.0,3047000000.0,18304000000.0
+2020,14546000000.0,1285000000.0,19080000000.0
+","year,Cash Ratio
+2016,0.718244542472571
+2017,0.7123287671232876
+2018,0.8338652149427445
+2019,0.8409637237762237
+2020,0.8297169811320755
+"
+US,fundamental,"For Lennox International's Cash Ratio, what is the maximum over 2022 to 2024? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.3216,medium,solvency,(Cash + Short-Term Investments) / Current Liabilities,"year,CashAndMarketableSecurities,ShortTermInvestments,CurrentLiabilitiesTotal
+2022,52600000.0,8500000.0,1595700000.0
+2023,60700000.0,8400000.0,1014600000.0
+2024,415100000.0,7200000.0,1313300000.0
+","year,Cash Ratio
+2022,0.038290405464686345
+2023,0.0681056574019318
+2024,0.32155638467981423
+"
+US,fundamental,"Calculate the maximum of EPAM Systems's Cash Ratio from 2017 to 2021. According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.2193,medium,solvency,(Cash + Short-Term Investments) / Current Liabilities,"year,CashAndMarketableSecurities,ShortTermInvestments,CurrentLiabilitiesTotal
+2017,582585000.0,0.0,180967000.0
+2018,770560000.0,0.0,262829000.0
+2019,936552000.0,0.0,386948000.0
+2020,1322143000.0,0.0,465950000.0
+2021,1446625000.0,0.0,763420000.0
+","year,Cash Ratio
+2017,3.219288599578929
+2018,2.9317921538338614
+2019,2.420356223575261
+2020,2.8375211932610793
+2021,1.894926776872495
+"
+US,fundamental,"What is the minimum of Liability-to-Asset Ratio for IBM from 2019 to 2021? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",85.6092,medium,solvency,Total Liabilities / Total Assets * 100%,"year,Liabilities,Assets
+2019,131202000000.0,152186000000.0
+2020,135244000000.0,155971000000.0
+2021,113005000000.0,132001000000.0
+","year,Liability-to-Asset Ratio
+2019,86.21160947787575
+2020,86.71099114578992
+2021,85.60919993030356
+"
+US,fundamental,"From 2017 to 2021, what is the maximum of DaVita's Liability-to-Asset Ratio? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",86.152,medium,solvency,Total Liabilities / Total Assets * 100%,"year,Liabilities,Assets
+2017,13050767000.0,18948193000.0
+2018,14077213000.0,19110252000.0
+2019,13811776000.0,17311394000.0
+2020,14091736000.0,16988516000.0
+2021,14750508000.0,17121488000.0
+","year,Liability-to-Asset Ratio
+2017,68.87605060809756
+2018,73.66314688053302
+2019,79.78430853113274
+2020,82.94859892412028
+2021,86.15202136636722
+"
+US,fundamental,"What was the maximum of Liability-to-Asset Ratio for Citigroup during 2022-2024? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",91.6481,medium,solvency,Total Liabilities / Total Assets * 100%,"year,Liabilities,Assets
+2022,2214838000000.0,2416676000000.0
+2023,2205583000000.0,2411834000000.0
+2024,2143579000000.0,2352945000000.0
+","year,Liability-to-Asset Ratio
+2022,91.6481150141765
+2023,91.4483749710801
+2024,91.10195945931588
+"
+US,fundamental,"For Federal Realty Investment Trust's Liability-to-Asset Ratio, what is the maximum over 2016 to 2018? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",59.6436,medium,solvency,Total Liabilities / Total Assets * 100%,"year,Liabilities,Assets
+2016,3203750000.0,5423279000.0
+2017,3743084000.0,6275755000.0
+2018,3686106000.0,6289644000.0
+","year,Liability-to-Asset Ratio
+2016,59.0740398935773
+2017,59.64356479817966
+2018,58.605956076369345
+"
+US,fundamental,"Calculate the minimum of EQT Corporation's Liability-to-Asset Ratio from 2016 to 2018. (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",37.6254,medium,solvency,Total Liabilities / Total Assets * 100%,"year,Liabilities,Assets
+2016,6353675000.0,15472922000.0
+2017,11107991000.0,29522604000.0
+2018,9763115000.0,20721344000.0
+","year,Liability-to-Asset Ratio
+2016,41.06318767715626
+2017,37.62537681296677
+2018,47.11622470048275
+"
+US,fundamental,"What is the maximum of Liability-to-Equity Ratio for Howmet Aerospace from 2017 to 2021? (Unit: %; Total equity includes minority interest) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",280.3939,medium,solvency,Total Liabilities / Total Equity * 100%,"year,Liabilities,AllEquityBalanceIncludingMinorityInterest
+2017,13794000000.0,4924000000.0
+2018,13108000000.0,5585000000.0
+2019,12957000000.0,4621000000.0
+2020,7866000000.0,3577000000.0
+2021,6711000000.0,3508000000.0
+","year,Liability-to-Equity Ratio
+2017,280.13809910641754
+2018,234.70008952551478
+2019,280.39385414412465
+2020,219.90494828068213
+2021,191.30558722919042
+"
+US,fundamental,"From 2018 to 2022, what is the minimum of Loews Corporation's Liability-to-Equity Ratio? (Unit: %; Total equity includes minority interest) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",266.2022,medium,solvency,Total Liabilities / Total Equity * 100%,"year,Liabilities,AllEquityBalanceIncludingMinorityInterest
+2018,56930000000.0,21386000000.0
+2019,60313000000.0,21930000000.0
+2020,61055000000.0,19181000000.0
+2021,62451000000.0,19175000000.0
+2022,60016000000.0,15478000000.0
+","year,Liability-to-Equity Ratio
+2018,266.20218834751705
+2019,275.0250797993616
+2020,318.3097857254575
+2021,325.6897001303781
+2022,387.7503553430676
+"
+US,fundamental,"What was the maximum of Liability-to-Equity Ratio for Amphenol during 2022-2024? (Unit: %; Total equity includes minority interest) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",117.6361,medium,solvency,Total Liabilities / Total Equity * 100%,"year,Liabilities,AllEquityBalanceIncludingMinorityInterest
+2022,8232100000.0,7073500000.0
+2023,8099900000.0,8395800000.0
+2024,11584100000.0,9847400000.0
+","year,Liability-to-Equity Ratio
+2022,116.37944440517425
+2023,96.47561876176184
+2024,117.63612730263826
+"
+US,fundamental,"For Elevance Health's Liability-to-Equity Ratio, what is the minimum over 2021 to 2023? (Unit: %; Total equity includes minority interest) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",169.7631,medium,solvency,Total Liabilities / Total Equity * 100%,"year,Liabilities,AllEquityBalanceIncludingMinorityInterest
+2021,61332000000.0,36128000000.0
+2022,66378000000.0,36394000000.0
+2023,69523000000.0,39405000000.0
+","year,Liability-to-Equity Ratio
+2021,169.76306465899026
+2022,182.38720668242019
+2023,176.43192488262912
+"
+US,fundamental,"Calculate the minimum of Emcor's Liability-to-Equity Ratio from 2016 to 2018. (Unit: %; Total equity includes minority interest) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",134.7945,medium,solvency,Total Liabilities / Total Equity * 100%,"year,Liabilities,AllEquityBalanceIncludingMinorityInterest
+2016,2356228000.0,1537942000.0
+2017,2291787000.0,1674117000.0
+2018,2347366000.0,1741441000.0
+","year,Liability-to-Equity Ratio
+2016,153.2065578545875
+2017,136.89527076064576
+2018,134.79446044970803
+"
+US,fundamental,"What is the maximum of Net Debt to Equity for Verizon from 2019 to 2021? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0776,medium,solvency,Net Debt / Total Equity; Net Debt = Total Debt (short + long-term debt + operating lease liabilities) - Cash - Short-Term Investments,"year,ShortTermDebt,LongTermDebt,OperatingLeaseCurrentDebtEquivalent,OperatingLeaseNonCurrentDebtEquivalent,CashAndMarketableSecurities,ShortTermInvestments,AllEquityBalanceIncludingMinorityInterest
+2019,10777000000.0,100712000000.0,3261000000.0,18393000000.0,2594000000.0,0.0,62835000000.0
+2020,0.0,123173000000.0,3485000000.0,18000000000.0,22171000000.0,0.0,69272000000.0
+2021,0.0,143425000000.0,3859000000.0,23203000000.0,2921000000.0,0.0,83200000000.0
+","year,Net Debt to Equity
+2019,2.0776478077504574
+2020,1.768203603187435
+2021,2.0140144230769232
+"
+US,fundamental,"From 2021 to 2023, what is the minimum of American Electric Power's Net Debt to Equity? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.4939,medium,solvency,Net Debt / Total Equity; Net Debt = Total Debt (short + long-term debt + operating lease liabilities) - Cash - Short-Term Investments,"year,ShortTermDebt,LongTermDebt,OperatingLeaseCurrentDebtEquivalent,OperatingLeaseNonCurrentDebtEquivalent,CashAndMarketableSecurities,ShortTermInvestments,AllEquityBalanceIncludingMinorityInterest
+2021,2614000000.0,31300700000.0,97600000.0,492800000.0,403400000.0,220400000.0,22680200000.0
+2022,4112200000.0,33626200000.0,113400000.0,552100000.0,509400000.0,187500000.0,24122400000.0
+2023,2830200000.0,37652700000.0,115700000.0,519400000.0,330100000.0,214300000.0,25285900000.0
+","year,Net Debt to Equity
+2021,1.493871306249504
+2022,1.563152920107452
+2023,1.6045938645648365
+"
+US,fundamental,"What was the average of Net Debt to Equity for CVS Health during 2018-2020? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.103,medium,solvency,Net Debt / Total Equity; Net Debt = Total Debt (short + long-term debt + operating lease liabilities) - Cash - Short-Term Investments,"year,ShortTermDebt,LongTermDebt,OperatingLeaseCurrentDebtEquivalent,OperatingLeaseNonCurrentDebtEquivalent,CashAndMarketableSecurities,ShortTermInvestments,AllEquityBalanceIncludingMinorityInterest
+2018,720000000.0,71444000000.0,0.0,0.0,4059000000.0,2522000000.0,58543000000.0
+2019,0.0,64699000000.0,1596000000.0,18926000000.0,5683000000.0,2373000000.0,64170000000.0
+2020,0.0,59207000000.0,1638000000.0,18757000000.0,7854000000.0,3000000000.0,69701000000.0
+","year,Net Debt to Equity
+2018,1.1202534888885094
+2019,1.2025089605734767
+2020,0.9863273123771539
+"
+US,fundamental,"For Marathon Petroleum's Net Debt to Equity, what is the minimum over 2017 to 2019? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.477,medium,solvency,Net Debt / Total Equity; Net Debt = Total Debt (short + long-term debt + operating lease liabilities) - Cash - Short-Term Investments,"year,ShortTermDebt,LongTermDebt,OperatingLeaseCurrentDebtEquivalent,OperatingLeaseNonCurrentDebtEquivalent,CashAndMarketableSecurities,ShortTermInvestments,AllEquityBalanceIncludingMinorityInterest
+2017,624000000.0,12322000000.0,0.0,0.0,3011000000.0,0.0,20828000000.0
+2018,544000000.0,26980000000.0,0.0,0.0,1687000000.0,0.0,44049000000.0
+2019,0.0,28127000000.0,604000000.0,1875000000.0,1527000000.0,0.0,42139000000.0
+","year,Net Debt to Equity
+2017,0.47700211254081043
+2018,0.5865513405525664
+2019,0.6900733287453428
+"
+US,fundamental,"Calculate the average of IBM's Net Debt to Equity from 2023 to 2025. According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.7512,medium,solvency,Net Debt / Total Equity; Net Debt = Total Debt (short + long-term debt + operating lease liabilities) - Cash - Short-Term Investments,"year,ShortTermDebt,LongTermDebt,OperatingLeaseCurrentDebtEquivalent,OperatingLeaseNonCurrentDebtEquivalent,CashAndMarketableSecurities,ShortTermInvestments,AllEquityBalanceIncludingMinorityInterest
+2023,6426000000.0,50121000000.0,820000000.0,2568000000.0,13068000000.0,0.0,22613000000.0
+2024,5089000000.0,49884000000.0,768000000.0,2655000000.0,13947000000.0,0.0,27393000000.0
+2025,6424000000.0,54836000000.0,800000000.0,2547000000.0,13587000000.0,0.0,32740000000.0
+","year,Net Debt to Equity
+2023,2.072568876310087
+2024,1.6226408206476106
+2025,1.5583384239462432
+"
+US,fundamental,"What is the maximum of Interest Coverage Ratio for CF Industries from 2018 to 2020? ( Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",4.2574,medium,solvency,EBIT / Interest Expense = (Pretax Income + Interest Expense) / Interest Expense,"year,PretaxIncomeLoss,InterestExpense
+2018,547000000.0,241000000.0
+2019,772000000.0,237000000.0
+2020,463000000.0,179000000.0
+","year,Interest Coverage Ratio
+2018,3.2697095435684647
+2019,4.257383966244726
+2020,3.5865921787709496
+"
+US,fundamental,"From 2016 to 2018, what is the maximum of KLA Corporation's Interest Coverage Ratio? ( Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",13.7293,medium,solvency,EBIT / Interest Expense = (Pretax Income + Interest Expense) / Interest Expense,"year,PretaxIncomeLoss,InterestExpense
+2016,858192000.0,122887000.0
+2017,1173246000.0,122476000.0
+2018,1455931000.0,114376000.0
+","year,Interest Coverage Ratio
+2016,7.983586546990325
+2017,10.579395146804272
+2018,13.729340071343639
+"
+US,fundamental,"What was the average of Interest Coverage Ratio for Steris during 2018-2022? ( Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",8.8951,medium,solvency,EBIT / Interest Expense = (Pretax Income + Interest Expense) / Interest Expense,"year,PretaxIncomeLoss,InterestExpense
+2018,369470000.0,45015000.0
+2019,498681000.0,40279000.0
+2020,517533000.0,37180000.0
+2021,314503000.0,89593000.0
+2022,157348000.0,107989000.0
+","year,Interest Coverage Ratio
+2018,9.207708541597245
+2019,13.380669827950049
+2020,14.919661108122646
+2021,4.510352371279006
+2022,2.4570743316448898
+"
+US,fundamental,"For MSCI Inc.'s Interest Coverage Ratio, what is the minimum over 2020 to 2024? ( Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",5.3898,medium,solvency,EBIT / Interest Expense = (Pretax Income + Interest Expense) / Interest Expense,"year,PretaxIncomeLoss,InterestExpense
+2020,686225000.0,156324000.0
+2021,858136000.0,159614000.0
+2022,1043841000.0,171571000.0
+2023,1369061000.0,186679000.0
+2024,1356168000.0,185500000.0
+","year,Interest Coverage Ratio
+2020,5.389761009186049
+2021,6.37632037289962
+2022,7.084017695298156
+2023,8.333770804428992
+2024,8.31087870619946
+"
+US,fundamental,"Calculate the average of FedEx's Interest Coverage Ratio from 2016 to 2018. ( Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",9.2997,medium,solvency,EBIT / Interest Expense = (Pretax Income + Interest Expense) / Interest Expense,"year,PretaxIncomeLoss,InterestExpense
+2016,2740000000.0,336000000.0
+2017,4579000000.0,512000000.0
+2018,4353000000.0,558000000.0
+","year,Interest Coverage Ratio
+2016,9.154761904761905
+2017,9.943359375
+2018,8.801075268817204
+"
+US,fundamental,"What is the average of Net Debt to EBITDA for Dexcom from 2023 to 2025? ( Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.5086,medium,solvency,Net Debt / EBITDA; Net Debt = Total Debt (short + long-term debt + operating lease liabilities) - Cash - Short-Term Investments; EBITDA = Pretax Income + Interest Expense + D&A,"year,ShortTermDebt,LongTermDebt,OperatingLeaseCurrentDebtEquivalent,OperatingLeaseNonCurrentDebtEquivalent,CashAndMarketableSecurities,ShortTermInvestments,PretaxIncomeLoss,InterestExpense,Depreciation & Amortization
+2023,0.0,2434200000.0,21100000.0,80100000.0,566300000.0,0.0,710400000.0,12400000.0,186000000.0
+2024,1204400000.0,1237000000.0,22500000.0,65000000.0,606100000.0,0.0,709000000.0,11400000.0,217700000.0
+2025,0.0,1240900000.0,21600000.0,73400000.0,917700000.0,0.0,1088400000.0,11400000.0,251800000.0
+","year,Net Debt to EBITDA
+2023,2.1667033450704225
+2024,2.0496748747468287
+2025,0.30941106836342114
+"
+US,fundamental,"From 2018 to 2020, what is the minimum of Starbucks's Net Debt to EBITDA? ( Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.021,medium,solvency,Net Debt / EBITDA; Net Debt = Total Debt (short + long-term debt + operating lease liabilities) - Cash - Short-Term Investments; EBITDA = Pretax Income + Interest Expense + D&A,"year,ShortTermDebt,LongTermDebt,OperatingLeaseCurrentDebtEquivalent,OperatingLeaseNonCurrentDebtEquivalent,CashAndMarketableSecurities,ShortTermInvestments,PretaxIncomeLoss,InterestExpense,Depreciation & Amortization
+2018,0.0,9090200000.0,0.0,0.0,8756300000.0,181500000.0,5780000000.0,170300000.0,1305900000.0
+2019,0.0,11167000000.0,0.0,0.0,2686600000.0,70500000.0,4466200000.0,331000000.0,1449300000.0
+2020,438800000.0,14659600000.0,1248800000.0,7661700000.0,4350900000.0,281200000.0,1164400000.0,437000000.0,1503200000.0
+","year,Net Debt to EBITDA
+2018,0.021002728700972962
+2019,1.3463379492515808
+2020,6.241319332603234
+"
+US,fundamental,"What was the maximum of Net Debt to EBITDA for Synopsys during 2018-2020? ( Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-0.4316,medium,solvency,Net Debt / EBITDA; Net Debt = Total Debt (short + long-term debt + operating lease liabilities) - Cash - Short-Term Investments; EBITDA = Pretax Income + Interest Expense + D&A,"year,ShortTermDebt,LongTermDebt,OperatingLeaseCurrentDebtEquivalent,OperatingLeaseNonCurrentDebtEquivalent,CashAndMarketableSecurities,ShortTermInvestments,PretaxIncomeLoss,InterestExpense,Depreciation & Amortization
+2018,343769000.0,125535000.0,0.0,0.0,723115000.0,0.0,363543000.0,15307000.0,209207000.0
+2019,17614000.0,120093000.0,0.0,0.0,728597000.0,0.0,545506000.0,12363000.0,201676000.0
+2020,27084000.0,100823000.0,73173000.0,462411000.0,1235653000.0,0.0,638159000.0,5136000.0,209986000.0
+","year,Net Debt to EBITDA
+2018,-0.43160952084576837
+2019,-0.7779525900374566
+2020,-0.6705434669235574
+"
+US,fundamental,"For T-Mobile US's Net Debt to EBITDA, what is the average over 2022 to 2024? ( Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.9916,medium,solvency,Net Debt / EBITDA; Net Debt = Total Debt (short + long-term debt + operating lease liabilities) - Cash - Short-Term Investments; EBITDA = Pretax Income + Interest Expense + D&A,"year,ShortTermDebt,LongTermDebt,OperatingLeaseCurrentDebtEquivalent,OperatingLeaseNonCurrentDebtEquivalent,CashAndMarketableSecurities,ShortTermInvestments,PretaxIncomeLoss,InterestExpense,Depreciation & Amortization
+2022,5164000000.0,65301000000.0,3512000000.0,29855000000.0,4507000000.0,0.0,3146000000.0,3364000000.0,13651000000.0
+2023,3619000000.0,71399000000.0,3555000000.0,28240000000.0,5135000000.0,0.0,10999000000.0,3335000000.0,12818000000.0
+2024,4068000000.0,74197000000.0,3281000000.0,26408000000.0,5409000000.0,0.0,14712000000.0,3411000000.0,12919000000.0
+","year,Net Debt to EBITDA
+2022,4.926590942909578
+2023,3.7447701826753095
+2024,3.3034276142001158
+"
+US,fundamental,"Calculate the maximum of Adobe Inc.'s Net Debt to EBITDA from 2016 to 2020. ( Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.2774,medium,solvency,Net Debt / EBITDA; Net Debt = Total Debt (short + long-term debt + operating lease liabilities) - Cash - Short-Term Investments; EBITDA = Pretax Income + Interest Expense + D&A,"year,ShortTermDebt,LongTermDebt,OperatingLeaseCurrentDebtEquivalent,OperatingLeaseNonCurrentDebtEquivalent,CashAndMarketableSecurities,ShortTermInvestments,PretaxIncomeLoss,InterestExpense,Depreciation & Amortization
+2016,0.0,1902068000.0,0.0,0.0,1011315000.0,3749985000.0,1435138000.0,70442000.0,331535000.0
+2017,0.0,1881421000.0,0.0,0.0,2306072000.0,3513702000.0,2137641000.0,74402000.0,325997000.0
+2018,0.0,4124800000.0,0.0,0.0,1642775000.0,1586187000.0,2793876000.0,89242000.0,346492000.0
+2019,3149343000.0,988924000.0,0.0,0.0,2650221000.0,1526755000.0,3204741000.0,157214000.0,736669000.0
+2020,0.0,4117000000.0,92000000.0,499000000.0,4478000000.0,1514000000.0,4176000000.0,116000000.0,757000000.0
+","year,Net Debt to EBITDA
+2016,-1.5563707225731649
+2017,-1.55173007517612
+2018,0.27738271803716236
+2019,-0.009444389141331335
+2020,-0.25430778371954843
+"
+US,fundamental,"What is the average of Revenue Growth for Ventas from 2017 to 2021? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.1694,medium,growth,(Revenue_t - Revenue_{t-1}) / Revenue_{t-1} * 100%,"year,Revenue
+2016,3443522000.0
+2017,3574149000.0
+2018,3745810000.0
+2019,3872750000.0
+2020,3795357000.0
+2021,3828007000.0
+","year,Revenue Growth
+2017,3.793412674581431
+2018,4.802849573422932
+2019,3.388853145247624
+2020,-1.9983990704279906
+2021,0.8602616301971067
+"
+US,fundamental,"From 2019 to 2023, what is the minimum of Trane Technologies's Revenue Growth? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-24.9667,medium,growth,(Revenue_t - Revenue_{t-1}) / Revenue_{t-1} * 100%,"year,Revenue
+2018,15668200000.0
+2019,16598900000.0
+2020,12454700000.0
+2021,14136400000.0
+2022,15991700000.0
+2023,17677600000.0
+","year,Revenue Growth
+2019,5.940056930598281
+2020,-24.96671466181494
+2021,13.502533180245207
+2022,13.124274921479302
+2023,10.542343840867451
+"
+US,fundamental,"What was the average of Revenue Growth for American International Group during 2017-2019? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-1.5887,medium,growth,(Revenue_t - Revenue_{t-1}) / Revenue_{t-1} * 100%,"year,Revenue
+2016,52367000000.0
+2017,49520000000.0
+2018,47389000000.0
+2019,49746000000.0
+","year,Revenue Growth
+2017,-5.436629938701854
+2018,-4.303311793214863
+2019,4.973728080356201
+"
+US,fundamental,"For Vici Properties's Revenue Growth, what is the maximum over 2020 to 2024? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",72.2809,medium,growth,(Revenue_t - Revenue_{t-1}) / Revenue_{t-1} * 100%,"year,Revenue
+2019,894798000.0
+2020,1225574000.0
+2021,1509568000.0
+2022,2600697000.0
+2023,3611988000.0
+2024,3849205000.0
+","year,Revenue Growth
+2020,36.966555580142106
+2021,23.172325783673607
+2022,72.28087770805952
+2023,38.88538341836823
+2024,6.5674913648661075
+"
+US,fundamental,"Calculate the maximum of Parker Hannifin's Revenue Growth from 2018 to 2020. (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",18.8962,medium,growth,(Revenue_t - Revenue_{t-1}) / Revenue_{t-1} * 100%,"year,Revenue
+2017,12029312000.0
+2018,14302392000.0
+2019,14320324000.0
+2020,13695520000.0
+","year,Revenue Growth
+2018,18.896176273422785
+2019,0.12537762914063605
+2020,-4.363057707353549
+"
+US,fundamental,"What is the maximum of EBITDA Growth for Trimble Inc. from 2021 to 2025? (Unit: %; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",292.6652,medium,growth,(EBITDA_t - EBITDA_{t-1}) / EBITDA_{t-1} * 100%; EBITDA = Pretax Income + Interest Expense + D&A,"year,PretaxIncomeLoss,InterestExpense,DepreciationExpense,AmortizationOfIntangibles
+2020,395000000.0,71800000.0,39700000.0,65500000.0
+2021,574600000.0,61800000.0,41300000.0,50900000.0
+2022,569100000.0,73100000.0,40200000.0,46600000.0
+2023,357000000.0,133700000.0,38300000.0,103600000.0
+2024,2005900000.0,140400000.0,232000000.0,105700000.0
+2025,509400000.0,81500000.0,199900000.0,106800000.0
+","year,EBITDA Growth
+2021,27.37762237762238
+2022,0.05489980785067252
+2023,-13.223593964334704
+2024,292.66519127410686
+2025,-63.86473429951691
+"
+US,fundamental,"From 2019 to 2023, what is the minimum of Coterra's EBITDA Growth? (Unit: %; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-51.5249,medium,growth,(EBITDA_t - EBITDA_{t-1}) / EBITDA_{t-1} * 100%; EBITDA = Pretax Income + Interest Expense + D&A,"year,PretaxIncomeLoss,InterestExpense,Depreciation & Amortization
+2018,698137000.0,4631000.0,417479000.0
+2019,900224000.0,3966000.0,405733000.0
+2020,241123000.0,2961000.0,390903000.0
+2021,1502000000.0,10000000.0,693000000.0
+2022,5169000000.0,40000000.0,1635000000.0
+2023,2128000000.0,73000000.0,1641000000.0
+","year,EBITDA Growth
+2019,16.931623115259402
+2020,-51.52486062157852
+2021,247.25120356794704
+2022,210.38548752834467
+2023,-43.86323787258913
+"
+US,fundamental,"What was the minimum of EBITDA Growth for WEC Energy Group during 2018-2020? (Unit: %; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-10.0439,medium,growth,(EBITDA_t - EBITDA_{t-1}) / EBITDA_{t-1} * 100%; EBITDA = Pretax Income + Interest Expense + D&A,"year,PretaxIncomeLoss,InterestExpense,Depreciation & Amortization
+2017,1588400000.0,415700000.0,798600000.0
+2018,1230300000.0,445100000.0,845800000.0
+2019,1259700000.0,501500000.0,926300000.0
+2020,1429300000.0,493700000.0,975900000.0
+","year,EBITDA Growth
+2018,-10.043886252542192
+2019,6.596065365698873
+2020,7.866046511627907
+"
+US,fundamental,"For AbbVie's EBITDA Growth, what is the maximum over 2020 to 2022? (Unit: %; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",93.9622,medium,growth,(EBITDA_t - EBITDA_{t-1}) / EBITDA_{t-1} * 100%; EBITDA = Pretax Income + Interest Expense + D&A,"year,PretaxIncomeLoss,InterestExpense,DepreciationExpense,AmortizationOfIntangibles
+2019,8426000000.0,1794000000.0,464000000.0,1553000000.0
+2020,3398000000.0,2619000000.0,666000000.0,5805000000.0
+2021,12989000000.0,2712000000.0,803000000.0,7718000000.0
+2022,13477000000.0,2546000000.0,778000000.0,7689000000.0
+","year,EBITDA Growth
+2020,2.051156329165645
+2021,93.96220371556694
+2022,1.106432169102469
+"
+US,fundamental,"Calculate the minimum of Tyson Foods's EBITDA Growth from 2019 to 2021. (Unit: %; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-2.7763,medium,growth,(EBITDA_t - EBITDA_{t-1}) / EBITDA_{t-1} * 100%; EBITDA = Pretax Income + Interest Expense + D&A,"year,PretaxIncomeLoss,InterestExpense,Depreciation & Amortization
+2018,2745000000.0,350000000.0,723000000.0
+2019,2431000000.0,462000000.0,819000000.0
+2020,2770000000.0,485000000.0,900000000.0
+2021,4041000000.0,428000000.0,934000000.0
+","year,EBITDA Growth
+2019,-2.776322682032478
+2020,11.934267241379311
+2021,30.03610108303249
+"
+US,fundamental,"What is the average of Net Income Growth for Oneok from 2018 to 2020? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",51.9659,medium,growth,(Net Income_t - Net Income_{t-1}) / |Net Income_{t-1}| * 100%,"year,NetIncome
+2017,387841000.0
+2018,1151703000.0
+2019,1278577000.0
+2020,612809000.0
+","year,Net Income Growth
+2018,196.95235934313288
+2019,11.016208171724829
+2020,-52.071013321841384
+"
+US,fundamental,"From 2018 to 2022, what is the maximum of Centene Corporation's Net Income Growth? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",46.7778,medium,growth,(Net Income_t - Net Income_{t-1}) / |Net Income_{t-1}| * 100%,"year,NetIncome
+2017,828000000.0
+2018,900000000.0
+2019,1321000000.0
+2020,1808000000.0
+2021,1347000000.0
+2022,1202000000.0
+","year,Net Income Growth
+2018,8.695652173913043
+2019,46.77777777777778
+2020,36.86601059803179
+2021,-25.497787610619472
+2022,-10.764662212323682
+"
+US,fundamental,"What was the minimum of Net Income Growth for Analog Devices during 2021-2025? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-50.6642,medium,growth,(Net Income_t - Net Income_{t-1}) / |Net Income_{t-1}| * 100%,"year,NetIncome
+2020,1220761000.0
+2021,1390422000.0
+2022,2748561000.0
+2023,3314579000.0
+2024,1635273000.0
+2025,2267342000.0
+","year,Net Income Growth
+2021,13.897970200555227
+2022,97.67818691016109
+2023,20.59324861263767
+2024,-50.664232169455005
+2025,38.652200580575844
+"
+US,fundamental,"For Mettler Toledo's Net Income Growth, what is the average over 2022 to 2024? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",4.4311,medium,growth,(Net Income_t - Net Income_{t-1}) / |Net Income_{t-1}| * 100%,"year,NetIncome
+2021,768985000.0
+2022,872502000.0
+2023,788778000.0
+2024,863140000.0
+","year,Net Income Growth
+2022,13.461510952749403
+2023,-9.595851929279245
+2024,9.427494174533265
+"
+US,fundamental,"Calculate the minimum of Packaging Corporation of America's Net Income Growth from 2019 to 2021. (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-33.8024,medium,growth,(Net Income_t - Net Income_{t-1}) / |Net Income_{t-1}| * 100%,"year,NetIncome
+2018,738000000.0
+2019,696400000.0
+2020,461000000.0
+2021,841100000.0
+","year,Net Income Growth
+2019,-5.636856368563685
+2020,-33.80241240666283
+2021,82.45119305856832
+"
+US,fundamental,"What is the minimum of EPS Growth for Analog Devices from 2021 to 2023? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",5.6366,medium,growth,(EPS_t - EPS_{t-1}) / |EPS_{t-1}| * 100%; EPS = Net Income / Weighted-Average Basic Shares,"year,NetIncome,SharesAverage
+2020,1220761000.0,368633000.0
+2021,1390422000.0,397462000.0
+2022,2748561000.0,519226000.0
+2023,3314579000.0,502232000.0
+","year,EPS Growth
+2021,5.6366406070046216
+2022,51.32055699384556
+2023,24.673756559011387
+"
+US,fundamental,"From 2018 to 2020, what is the maximum of Adobe Inc.'s EPS Growth? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",80.2149,medium,growth,(EPS_t - EPS_{t-1}) / |EPS_{t-1}| * 100%; EPS = Net Income / Weighted-Average Basic Shares,"year,NetIncome,SharesAverage
+2017,1693954000.0,493632000.0
+2018,2590774000.0,490564000.0
+2019,2951458000.0,486291000.0
+2020,5260000000.0,480900000.0
+","year,EPS Growth
+2018,53.89891153477634
+2019,14.922885000357267
+2020,80.21485699944112
+"
+US,fundamental,"What was the average of EPS Growth for Best Buy during 2019-2021? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",24.1508,medium,growth,(EPS_t - EPS_{t-1}) / |EPS_{t-1}| * 100%; EPS = Net Income / Weighted-Average Basic Shares,"year,NetIncome,SharesAverage
+2018,1464000000.0,276400000.0
+2019,1541000000.0,264900000.0
+2020,1798000000.0,259600000.0
+2021,2454000000.0,246800000.0
+","year,EPS Growth
+2019,9.829155037368482
+2020,19.059572506596773
+2021,43.563621023179
+"
+US,fundamental,"For Lululemon Athletica's EPS Growth, what is the maximum over 2017 to 2019? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",90.6499,medium,growth,(EPS_t - EPS_{t-1}) / |EPS_{t-1}| * 100%; EPS = Net Income / Weighted-Average Basic Shares,"year,NetIncome,SharesAverage
+2016,303381000.0,137086000.0
+2017,258662000.0,135988000.0
+2018,483801000.0,133413000.0
+2019,645596000.0,130393000.0
+","year,EPS Growth
+2017,-14.051802998843888
+2018,90.64989347511127
+2019,36.533097113764384
+"
+US,fundamental,"Calculate the minimum of Wells Fargo's EPS Growth from 2017 to 2021. (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-81.9862,medium,growth,(EPS_t - EPS_{t-1}) / |EPS_{t-1}| * 100%; EPS = Net Income / Weighted-Average Basic Shares,"year,NetIncome,SharesAverage
+2016,21938000000.0,5052800000.0
+2017,22183000000.0,4964600000.0
+2018,22393000000.0,4799700000.0
+2019,19549000000.0,4393100000.0
+2020,3301000000.0,4118000000.0
+2021,21548000000.0,4061900000.0
+","year,EPS Growth
+2017,2.9132023713211908
+2018,4.414826389466213
+2019,-4.620449709724778
+2020,-81.98618390604192
+2021,561.7874964744868
+"
+US,fundamental,"What is the maximum of Free Cash Flow for Coca-Cola Company (The) from 2020 to 2022? (Unit: $) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",11258000000.0,medium,cash flow,CFO - Capex,"year,NetCashFromOperatingActivities,CapitalExpenses
+2020,9844000000.0,1177000000.0
+2021,12625000000.0,1367000000.0
+2022,11018000000.0,1484000000.0
+","year,Free Cash Flow
+2020,8667000000.0
+2021,11258000000.0
+2022,9534000000.0
+"
+US,fundamental,"From 2019 to 2023, what is the minimum of Linde plc's Free Cash Flow? (Unit: $) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2437000000.0,medium,cash flow,CFO - Capex,"year,NetCashFromOperatingActivities,CapitalExpenses
+2019,6119000000.0,3682000000.0
+2020,7429000000.0,3400000000.0
+2021,9725000000.0,3086000000.0
+2022,8864000000.0,3173000000.0
+2023,9305000000.0,3787000000.0
+","year,Free Cash Flow
+2019,2437000000.0
+2020,4029000000.0
+2021,6639000000.0
+2022,5691000000.0
+2023,5518000000.0
+"
+US,fundamental,"What was the maximum of Free Cash Flow for Carnival during 2019-2021? (Unit: $) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-164000000.0,medium,cash flow,CFO - Capex,"year,NetCashFromOperatingActivities,CapitalExpenses
+2019,5265000000.0,5429000000.0
+2020,-6301000000.0,3620000000.0
+2021,-4109000000.0,3607000000.0
+","year,Free Cash Flow
+2019,-164000000.0
+2020,-9921000000.0
+2021,-7716000000.0
+"
+US,fundamental,"For Teledyne Technologies's Free Cash Flow, what is the CAGR over 2019 to 2023? (Unit: $) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",16.3383,medium,cash flow,CFO - Capex,"year,NetCashFromOperatingActivities,CapitalExpenses
+2019,482100000.0,88400000.0
+2020,618900000.0,71400000.0
+2021,824600000.0,101600000.0
+2022,486800000.0,92600000.0
+2023,836100000.0,114900000.0
+","year,Free Cash Flow
+2019,393700000.0
+2020,547500000.0
+2021,723000000.0
+2022,394200000.0
+2023,721200000.0
+"
+US,fundamental,"Calculate the minimum of Cummins's Free Cash Flow from 2016 to 2018. (Unit: $) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1404000000.0,medium,cash flow,CFO - Capex,"year,NetCashFromOperatingActivities,CapitalExpenses
+2016,1935000000.0,531000000.0
+2017,2277000000.0,506000000.0
+2018,2378000000.0,709000000.0
+","year,Free Cash Flow
+2016,1404000000.0
+2017,1771000000.0
+2018,1669000000.0
+"
+US,fundamental,"What is the average of Free Cash Flow to Firm for Waters Corporation from 2020 to 2024? (Unit: $) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",759623829.7828,medium,cash flow,CFO - Capex + Interest Expense x (1 - effective tax rate),"year,NetCashFromOperatingActivities,CapitalExpenses,InterestExpense,IncomeTaxes,PretaxIncomeLoss
+2020,790507000.0,0.0,49070000.0,89343000.0,610914000.0
+2021,747274000.0,0.0,44938000.0,113350000.0,806193000.0
+2022,611661000.0,0.0,48797000.0,130091000.0,837846000.0
+2023,602809000.0,0.0,98861000.0,94009000.0,736243000.0
+2024,762123000.0,0.0,89677000.0,117034000.0,754868000.0
+","year,Free Cash Flow to Firm
+2020,832400767.3224055
+2021,785893758.2142241
+2022,652881368.3433471
+2023,689046689.8306673
+2024,837896565.2034528
+"
+US,fundamental,"From 2019 to 2021, what is the CAGR of Intercontinental Exchange's Free Cash Flow to Firm? (Unit: $) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",9.02,medium,cash flow,CFO - Capex + Interest Expense x (1 - effective tax rate),"year,NetCashFromOperatingActivities,CapitalExpenses,InterestExpense,IncomeTaxes,PretaxIncomeLoss
+2019,2659000000.0,153000000.0,285000000.0,521000000.0,2481000000.0
+2020,2881000000.0,207000000.0,357000000.0,658000000.0,2766000000.0
+2021,3123000000.0,179000000.0,423000000.0,1629000000.0,5698000000.0
+","year,Free Cash Flow to Firm
+2019,2731151148.7303505
+2020,2946073752.711497
+2021,3246068620.5686207
+"
+US,fundamental,"What was the average of Free Cash Flow to Firm for Corteva during 2022-2024? (Unit: $) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1203522666.8244,medium,cash flow,CFO - Capex + Interest Expense x (1 - effective tax rate),"year,NetCashFromOperatingActivities,CapitalExpenses,InterestExpense,IncomeTaxes,PretaxIncomeLoss
+2022,872000000.0,605000000.0,75000000.0,210000000.0,1426000000.0
+2023,1809000000.0,595000000.0,234000000.0,152000000.0,1093000000.0
+2024,2296000000.0,597000000.0,244000000.0,412000000.0,1275000000.0
+","year,Free Cash Flow to Firm
+2022,330955119.21458626
+2023,1415458371.454712
+2024,1864154509.8039217
+"
+US,fundamental,"For Apple Inc.'s Free Cash Flow to Firm, what is the average over 2023 to 2025? (Unit: $) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",103445476246.1607,medium,cash flow,CFO - Capex + Interest Expense x (1 - effective tax rate),"year,NetCashFromOperatingActivities,CapitalExpenses,InterestExpense,IncomeTaxes,PretaxIncomeLoss
+2023,110543000000.0,10959000000.0,3803000000.0,18679000000.0,113736000000.0
+2024,118254000000.0,9447000000.0,0.0,26102000000.0,123485000000.0
+2025,111482000000.0,12715000000.0,0.0,43369000000.0,132729000000.0
+","year,Free Cash Flow to Firm
+2023,102762428738.4821
+2024,108807000000.0
+2025,98767000000.0
+"
+US,fundamental,"Calculate the CAGR of C.H. Robinson's Free Cash Flow to Firm from 2019 to 2023. (Unit: $) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-1.938,medium,cash flow,CFO - Capex + Interest Expense x (1 - effective tax rate),"year,NetCashFromOperatingActivities,CapitalExpenses,InterestExpense,IncomeTaxes,PretaxIncomeLoss
+2019,835419000.0,36290000.0,50854000.0,165289000.0,742257000.0
+2020,499191000.0,23133000.0,47518000.0,121910000.0,628331000.0
+2021,94955000.0,34197000.0,51367000.0,178046000.0,1022291000.0
+2022,1650171000.0,61915000.0,71563000.0,226241000.0,1166765000.0
+2023,731946000.0,29989000.0,92571000.0,84057000.0,409186000.0
+","year,Free Cash Flow to Firm
+2019,838658611.269412
+2020,514356465.423479
+2021,103178732.369746
+2022,1645942611.2816205
+2023,775511610.0282023
+"
+US,fundamental,"What is the maximum of Free Cash Flow to Equity for PulteGroup from 2018 to 2022? (Unit: $; Net Borrowing is approximated as the year-over-year change in (short-term debt + long-term debt)) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1798498000.0,medium,cash flow,CFO - Capex + Net Borrowing; Net Borrowing = delta(Short-Term Debt + Long-Term Debt),"year,NetCashFromOperatingActivities,CapitalExpenses,ShortTermDebt,LongTermDebt
+2017,663077000.0,32051000.0,437804000.0,3006967000.0
+2018,1449744000.0,59039000.0,348412000.0,3028066000.0
+2019,1077545000.0,58119000.0,326573000.0,2765040000.0
+2020,1784342000.0,58354000.0,411821000.0,2752302000.0
+2021,1004021000.0,72781000.0,626123000.0,2029043000.0
+2022,668466000.0,112661000.0,0.0,2045527000.0
+","year,Free Cash Flow to Equity
+2018,1322412000.0
+2019,734561000.0
+2020,1798498000.0
+2021,422283000.0
+2022,-53834000.0
+"
+US,fundamental,"From 2020 to 2022, what is the maximum of Arch Capital Group's Free Cash Flow to Equity? (Unit: $; Net Borrowing is approximated as the year-over-year change in (short-term debt + long-term debt)) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3764571000.0,medium,cash flow,CFO - Capex + Net Borrowing; Net Borrowing = delta(Short-Term Debt + Long-Term Debt),"year,NetCashFromOperatingActivities,CapitalExpenses,ShortTermDebt,LongTermDebt
+2019,2048459000.0,37837000.0,484287000.0,1871626000.0
+2020,2886505000.0,39872000.0,155687000.0,2861113000.0
+2021,3427555000.0,41394000.0,0.0,2724394000.0
+2022,3815227000.0,51672000.0,0.0,2725410000.0
+","year,Free Cash Flow to Equity
+2020,3507520000.0
+2021,3093755000.0
+2022,3764571000.0
+"
+US,fundamental,"What was the CAGR of Free Cash Flow to Equity for NextEra Energy during 2023-2025? (Unit: $; Net Borrowing is approximated as the year-over-year change in (short-term debt + long-term debt)) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",29.5388,medium,cash flow,CFO - Capex + Net Borrowing; Net Borrowing = delta(Short-Term Debt + Long-Term Debt),"year,NetCashFromOperatingActivities,CapitalExpenses,ShortTermDebt,LongTermDebt
+2022,8262000000.0,6005000000.0,1709000000.0,55256000000.0
+2023,11301000000.0,7104000000.0,4650000000.0,61405000000.0
+2024,13260000000.0,6835000000.0,1670000000.0,72385000000.0
+2025,12485000000.0,7645000000.0,1955000000.0,89556000000.0
+","year,Free Cash Flow to Equity
+2023,13287000000.0
+2024,14425000000.0
+2025,22296000000.0
+"
+US,fundamental,"For Thermo Fisher Scientific's Free Cash Flow to Equity, what is the CAGR over 2020 to 2024? (Unit: $; Net Borrowing is approximated as the year-over-year change in (short-term debt + long-term debt)) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-23.8813,medium,cash flow,CFO - Capex + Net Borrowing; Net Borrowing = delta(Short-Term Debt + Long-Term Debt),"year,NetCashFromOperatingActivities,CapitalExpenses,ShortTermDebt,LongTermDebt
+2019,4973000000.0,926000000.0,676000000.0,17076000000.0
+2020,8289000000.0,1474000000.0,2628000000.0,19107000000.0
+2021,9312000000.0,2523000000.0,2537000000.0,32333000000.0
+2022,9154000000.0,2243000000.0,5579000000.0,28909000000.0
+2023,8406000000.0,1479000000.0,3609000000.0,31308000000.0
+2024,8667000000.0,1400000000.0,2214000000.0,29061000000.0
+","year,Free Cash Flow to Equity
+2020,10798000000.0
+2021,19924000000.0
+2022,6529000000.0
+2023,7356000000.0
+2024,3625000000.0
+"
+US,fundamental,"Calculate the maximum of Baker Hughes's Free Cash Flow to Equity from 2022 to 2024. (Unit: $; Net Borrowing is approximated as the year-over-year change in (short-term debt + long-term debt)) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2057000000.0,medium,cash flow,CFO - Capex + Net Borrowing; Net Borrowing = delta(Short-Term Debt + Long-Term Debt),"year,NetCashFromOperatingActivities,CapitalExpenses,ShortTermDebt,LongTermDebt
+2021,2374000000.0,856000000.0,40000000.0,6687000000.0
+2022,1888000000.0,989000000.0,677000000.0,5980000000.0
+2023,3062000000.0,1224000000.0,148000000.0,5872000000.0
+2024,3332000000.0,1278000000.0,53000000.0,5970000000.0
+","year,Free Cash Flow to Equity
+2022,829000000.0
+2023,1201000000.0
+2024,2057000000.0
+"
+US,fundamental,"What is the average of Operating Cash Flow Margin for Paccar from 2016 to 2018? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",14.0623,medium,cash flow,CFO / Revenue * 100%,"year,NetCashFromOperatingActivities,Revenue
+2016,2300800000.0,15846600000.0
+2017,2715800000.0,18187500000.0
+2018,2992300000.0,23495700000.0
+","year,Operating Cash Flow Margin
+2016,14.519202857395278
+2017,14.932233676975946
+2018,12.735521818886008
+"
+US,fundamental,"From 2021 to 2023, what is the maximum of Workday's Operating Cash Flow Margin? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",32.1224,medium,cash flow,CFO / Revenue * 100%,"year,NetCashFromOperatingActivities,Revenue
+2021,1650704000.0,5138798000.0
+2022,1657195000.0,6215818000.0
+2023,2149000000.0,7259000000.0
+","year,Operating Cash Flow Margin
+2021,32.12237569953129
+2022,26.66093183552028
+2023,29.604628736740597
+"
+US,fundamental,"What was the minimum of Operating Cash Flow Margin for Omnicom Group during 2022-2024? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",6.484,medium,cash flow,CFO / Revenue * 100%,"year,NetCashFromOperatingActivities,Revenue
+2022,926500000.0,14289100000.0
+2023,1421900000.0,14692200000.0
+2024,1733500000.0,15689100000.0
+","year,Operating Cash Flow Margin
+2022,6.483963300697734
+2023,9.677924340806685
+2024,11.04907228585451
+"
+US,fundamental,"For Advanced Micro Devices's Operating Cash Flow Margin, what is the average over 2019 to 2021? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",13.2398,medium,cash flow,CFO / Revenue * 100%,"year,NetCashFromOperatingActivities,Revenue
+2019,493000000.0,6731000000.0
+2020,1071000000.0,9763000000.0
+2021,3521000000.0,16434000000.0
+","year,Operating Cash Flow Margin
+2019,7.324320309017976
+2020,10.969988732971423
+2021,21.42509431666058
+"
+US,fundamental,"Calculate the average of D. R. Horton's Operating Cash Flow Margin from 2018 to 2020. (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",5.1543,medium,cash flow,CFO / Revenue * 100%,"year,NetCashFromOperatingActivities,Revenue
+2018,545200000.0,16068000000.0
+2019,892100000.0,17592900000.0
+2020,1421600000.0,20311100000.0
+","year,Operating Cash Flow Margin
+2018,3.3930794124968884
+2019,5.070795605045217
+2020,6.999128555321967
+"
+US,fundamental,"What is the average of Capex Intensity for Southwest Airlines from 2016 to 2018? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",9.5854,medium,cash flow,Capex / Revenue * 100%,"year,CapitalExpenses,Revenue
+2016,2038000000.0,20425000000.0
+2017,2123000000.0,21171000000.0
+2018,1922000000.0,21965000000.0
+","year,Capex Intensity
+2016,9.97796817625459
+2017,10.027868310424637
+2018,8.750284543592079
+"
+US,fundamental,"From 2019 to 2021, what is the minimum of Dover Corporation's Capex Intensity? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.1685,medium,cash flow,Capex / Revenue * 100%,"year,CapitalExpenses,Revenue
+2019,186804000.0,7136397000.0
+2020,165692000.0,6683760000.0
+2021,171465000.0,7907081000.0
+","year,Capex Intensity
+2019,2.6176234309834503
+2020,2.479023783020336
+2021,2.1684993488747617
+"
+US,fundamental,"What was the maximum of Capex Intensity for Trade Desk (The) during 2021-2025? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",6.8022,medium,cash flow,Capex / Revenue * 100%,"year,CapitalExpenses,Revenue
+2021,54804000.0,1196467000.0
+2022,84160000.0,1577795000.0
+2023,46790000.0,1946120000.0
+2024,98238000.0,2444831000.0
+2025,197011000.0,2896284000.0
+","year,Capex Intensity
+2021,4.580485713354401
+2022,5.334026283515919
+2023,2.404271062421639
+2024,4.018191850479645
+2025,6.802198955627279
+"
+US,fundamental,"For Electronic Arts's Capex Intensity, what is the minimum over 2019 to 2021? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.2029,medium,cash flow,Capex / Revenue * 100%,"year,CapitalExpenses,Revenue
+2019,140000000.0,5537000000.0
+2020,124000000.0,5629000000.0
+2021,188000000.0,6991000000.0
+","year,Capex Intensity
+2019,2.5284450063211126
+2020,2.2028779534553204
+2021,2.6891717923043914
+"
+US,fundamental,"Calculate the minimum of LyondellBasell's Capex Intensity from 2019 to 2021. (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",4.2427,medium,cash flow,Capex / Revenue * 100%,"year,CapitalExpenses,Revenue
+2019,2694000000.0,34727000000.0
+2020,1947000000.0,27753000000.0
+2021,1959000000.0,46173000000.0
+","year,Capex Intensity
+2019,7.757652547009532
+2020,7.015457788347206
+2021,4.24273926320577
+"
+US,fundamental,"What is the average of Cash Flow to Net Income for CMS Energy from 2021 to 2025? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.8838,medium,cash flow,CFO / Net Income,"year,NetCashFromOperatingActivities,NetIncome
+2021,1819000000.0,1353000000.0
+2022,855000000.0,837000000.0
+2023,2309000000.0,887000000.0
+2024,2370000000.0,1003000000.0
+2025,2235000000.0,1071000000.0
+","year,Cash Flow to Net Income
+2021,1.344419807834442
+2022,1.021505376344086
+2023,2.6031567080045095
+2024,2.362911266201396
+2025,2.0868347338935576
+"
+US,fundamental,"From 2019 to 2023, what is the average of Arthur J. Gallagher & Co.'s Cash Flow to Net Income? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.9392,medium,cash flow,CFO / Net Income,"year,NetCashFromOperatingActivities,NetIncome
+2019,1119200000.0,668800000.0
+2020,1752500000.0,818800000.0
+2021,1704100000.0,906800000.0
+2022,2125400000.0,1114200000.0
+2023,2031700000.0,969500000.0
+","year,Cash Flow to Net Income
+2019,1.673444976076555
+2020,2.1403273082559844
+2021,1.879245699161888
+2022,1.9075569915634536
+2023,2.0956162970603405
+"
+US,fundamental,"What was the minimum of Cash Flow to Net Income for A. O. Smith during 2021-2025? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0903,medium,cash flow,CFO / Net Income,"year,NetCashFromOperatingActivities,NetIncome
+2021,641100000.0,487100000.0
+2022,391400000.0,235700000.0
+2023,670300000.0,556600000.0
+2024,581800000.0,533600000.0
+2025,616800000.0,546200000.0
+","year,Cash Flow to Net Income
+2021,1.3161568466433997
+2022,1.6605854900296988
+2023,1.2042759611929572
+2024,1.0903298350824588
+2025,1.1292566825338703
+"
+US,fundamental,"For Elevance Health's Cash Flow to Net Income, what is the maximum over 2017 to 2019? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.2609,medium,cash flow,CFO / Net Income,"year,NetCashFromOperatingActivities,NetIncome
+2017,4184800000.0,3842800000.0
+2018,3827000000.0,3750000000.0
+2019,6061000000.0,4807000000.0
+","year,Cash Flow to Net Income
+2017,1.0889976059123556
+2018,1.0205333333333333
+2019,1.2608695652173914
+"
+US,fundamental,"Calculate the maximum of Extra Space Storage's Cash Flow to Net Income from 2021 to 2023. According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.7461,medium,cash flow,CFO / Net Income,"year,NetCashFromOperatingActivities,NetIncome
+2021,952436000.0,827649000.0
+2022,1238139000.0,860688000.0
+2023,1402474000.0,803198000.0
+","year,Cash Flow to Net Income
+2021,1.150772851776538
+2022,1.4385456750878367
+2023,1.7461124156185648
+"
+US,fundamental,"What is the maximum of Cash Flow to Debt for Huntington Bancshares from 2017 to 2019? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.1622,medium,cash flow,CFO / Total Debt; Total Debt = Short-Term Debt + Long-Term Debt,"year,NetCashFromOperatingActivities,ShortTermDebt,LongTermDebt
+2017,1954000000.0,5056000000.0,9206000000.0
+2018,1726000000.0,2017000000.0,8625000000.0
+2019,1574000000.0,2606000000.0,9849000000.0
+","year,Cash Flow to Debt
+2017,0.13700743233768056
+2018,0.16218755872956211
+2019,0.12637494981934966
+"
+US,fundamental,"From 2021 to 2023, what is the average of Starbucks's Cash Flow to Debt? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.4043,medium,cash flow,CFO / Total Debt; Total Debt = Short-Term Debt + Long-Term Debt,"year,NetCashFromOperatingActivities,ShortTermDebt,LongTermDebt
+2021,5989100000.0,0.0,13616900000.0
+2022,4397300000.0,175000000.0,13119900000.0
+2023,6008700000.0,33500000.0,13547600000.0
+","year,Cash Flow to Debt
+2021,0.4398284484721192
+2022,0.33075088943880737
+2023,0.44243102546921825
+"
+US,fundamental,"What was the maximum of Cash Flow to Debt for BXP during 2020-2022? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.1253,medium,cash flow,CFO / Total Debt; Total Debt = Short-Term Debt + Long-Term Debt,"year,NetCashFromOperatingActivities,ShortTermDebt,LongTermDebt
+2020,1156840000.0,0.0,9639287000.0
+2021,1133227000.0,145000000.0,9483695000.0
+2022,1282399000.0,0.0,10237968000.0
+","year,Cash Flow to Debt
+2020,0.12001302585969273
+2021,0.11769268836534962
+2022,0.1252591334530446
+"
+US,fundamental,"For Vistra Corp.'s Cash Flow to Debt, what is the minimum over 2021 to 2023? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-0.0197,medium,cash flow,CFO / Total Debt; Total Debt = Short-Term Debt + Long-Term Debt,"year,NetCashFromOperatingActivities,ShortTermDebt,LongTermDebt
+2021,-206000000.0,0.0,10477000000.0
+2022,485000000.0,650000000.0,11933000000.0
+2023,5453000000.0,0.0,12116000000.0
+","year,Cash Flow to Debt
+2021,-0.01966211701823041
+2022,0.03854406739251371
+2023,0.45006602839220866
+"
+US,fundamental,"Calculate the maximum of Corpay's Cash Flow to Debt from 2018 to 2022. According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.3848,medium,cash flow,CFO / Total Debt; Total Debt = Short-Term Debt + Long-Term Debt,"year,NetCashFromOperatingActivities,ShortTermDebt,LongTermDebt
+2018,903382000.0,886000000.0,2748431000.0
+2019,1162071000.0,970973000.0,3289947000.0
+2020,1472589000.0,700000000.0,3126926000.0
+2021,1197063000.0,1118000000.0,4460039000.0
+2022,754797000.0,1287000000.0,4722838000.0
+","year,Cash Flow to Debt
+2018,0.24856215457110067
+2019,0.2727277207739174
+2020,0.38479683171297274
+2021,0.21460283802246632
+2022,0.12559356841232658
+"
+US,fundamental,"What is the minimum of Earnings Per Share Basic for Bank of America from 2018 to 2020? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.8819,medium,per share,(Net Income - Preferred Dividends) / Weighted-Average Basic Shares,"year,NetIncome,SharesAverage,PreferredDividendExpense
+2018,28147000000.0,10096500000.0,1451000000.0
+2019,27430000000.0,9390500000.0,1432000000.0
+2020,17894000000.0,8753200000.0,1421000000.0
+","year,Earnings Per Share Basic
+2018,2.644084583766652
+2019,2.7685426761088334
+2020,1.8819403189690627
+"
+US,fundamental,"From 2016 to 2018, what is the minimum of Goldman Sachs's Earnings Per Share Basic? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",9.1758,medium,per share,(Net Income - Preferred Dividends) / Weighted-Average Basic Shares,"year,NetIncome,SharesAverage,PreferredDividendExpense
+2016,7398000000.0,427400000.0,311000000.0
+2017,4286000000.0,401600000.0,601000000.0
+2018,10459000000.0,385400000.0,599000000.0
+","year,Earnings Per Share Basic
+2016,16.58165652784277
+2017,9.175796812749004
+2018,25.58380902957966
+"
+US,fundamental,"What was the minimum of Earnings Per Share Basic for Ameren during 2020-2024? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.2753,medium,per share,(Net Income - Preferred Dividends) / Weighted-Average Basic Shares,"year,NetIncome,SharesAverage,PreferredDividendExpense
+2020,815000000.0,247000000.0,6000000.0
+2021,943000000.0,256300000.0,5000000.0
+2022,1075000000.0,258400000.0,5000000.0
+2023,1152000000.0,262800000.0,5000000.0
+2024,1184000000.0,266800000.0,5000000.0
+","year,Earnings Per Share Basic
+2020,3.2753036437246963
+2021,3.6597737026921577
+2022,4.140866873065016
+2023,4.364535768645358
+2024,4.41904047976012
+"
+US,fundamental,"For Williams Companies's Earnings Per Share Basic, what is the maximum over 2023 to 2025? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.608,medium,per share,(Net Income - Preferred Dividends) / Weighted-Average Basic Shares,"year,NetIncome,SharesAverage,PreferredDividendExpense
+2023,3179000000.0,1217784000.0,3000000.0
+2024,2225000000.0,1219184000.0,3000000.0
+2025,2618000000.0,1221000000.0,3000000.0
+","year,Earnings Per Share Basic
+2023,2.6080158714517516
+2024,1.822530479402617
+2025,2.1416871416871417
+"
+US,fundamental,"Calculate the minimum of Huntington Bancshares's Earnings Per Share Basic from 2018 to 2022. According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.7049,medium,per share,(Net Income - Preferred Dividends) / Weighted-Average Basic Shares,"year,NetIncome,SharesAverage,PreferredDividendExpense
+2018,1393000000.0,1081542000.0,70000000.0
+2019,1411000000.0,1038840000.0,74000000.0
+2020,817000000.0,1017117000.0,100000000.0
+2021,1295000000.0,1262435000.0,131000000.0
+2022,2238000000.0,1441279000.0,113000000.0
+","year,Earnings Per Share Basic
+2018,1.22325346588482
+2019,1.2870124369489044
+2020,0.7049336507009518
+2021,0.9220276687512624
+2022,1.474384903963771
+"
+US,fundamental,"What is the average of Earnings Per Share Diluted for Prologis from 2017 to 2021? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.7897,medium,per share,(Net Income - Preferred Dividends) / Weighted-Average Diluted Shares,"year,NetIncome,SharesFullyDilutedAverage,PreferredDividendExpense
+2017,1652325000.0,552300000.0,6499000.0
+2018,1649361000.0,590239000.0,5935000.0
+2019,1572959000.0,654903000.0,6009000.0
+2020,1481814000.0,754414000.0,6345000.0
+2021,2939723000.0,764762000.0,6152000.0
+","year,Earnings Per Share Diluted
+2017,2.9799493029150823
+2018,2.7843399029884504
+2019,2.39264440688163
+2020,1.9557815735126867
+2021,3.8359267327613034
+"
+US,fundamental,"From 2023 to 2025, what is the minimum of Fifth Third Bancorp's Earnings Per Share Diluted? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.1355,medium,per share,(Net Income - Preferred Dividends) / Weighted-Average Diluted Shares,"year,NetIncome,SharesFullyDilutedAverage,PreferredDividendExpense
+2023,2349000000.0,687678291.0,137000000.0
+2024,2314000000.0,687300837.0,159000000.0
+2025,2522000000.0,672502856.0,146000000.0
+","year,Earnings Per Share Diluted
+2023,3.216620371690634
+2024,3.1354537692786195
+2025,3.533070497473099
+"
+US,fundamental,"What was the minimum of Earnings Per Share Diluted for Wells Fargo during 2017-2019? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",4.0534,medium,per share,(Net Income - Preferred Dividends) / Weighted-Average Diluted Shares,"year,NetIncome,SharesFullyDilutedAverage,PreferredDividendExpense
+2017,22183000000.0,5017300000.0,1629000000.0
+2018,22393000000.0,4838400000.0,1704000000.0
+2019,19549000000.0,4425400000.0,1611000000.0
+","year,Earnings Per Share Diluted
+2017,4.096625675163933
+2018,4.276000330687831
+2019,4.053418899986442
+"
+US,fundamental,"For Alliant Energy's Earnings Per Share Diluted, what is the minimum over 2019 to 2021? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.3314,medium,per share,(Net Income - Preferred Dividends) / Weighted-Average Diluted Shares,"year,NetIncome,SharesFullyDilutedAverage,PreferredDividendExpense
+2019,567400000.0,239000000.0,10200000.0
+2020,624000000.0,248700000.0,10000000.0
+2021,674000000.0,250700000.0,15000000.0
+","year,Earnings Per Share Diluted
+2019,2.3313807531380752
+2020,2.4688379573783674
+2021,2.628639808536099
+"
+US,fundamental,"Calculate the maximum of Ameren's Earnings Per Share Diluted from 2021 to 2023. According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",4.3546,medium,per share,(Net Income - Preferred Dividends) / Weighted-Average Diluted Shares,"year,NetIncome,SharesFullyDilutedAverage,PreferredDividendExpense
+2021,943000000.0,257600000.0,5000000.0
+2022,1075000000.0,259500000.0,5000000.0
+2023,1152000000.0,263400000.0,5000000.0
+","year,Earnings Per Share Diluted
+2021,3.641304347826087
+2022,4.1233140655105975
+2023,4.35459377372817
+"
+US,fundamental,"What is the maximum of Operating Cash Flow Per Share for Johnson & Johnson from 2017 to 2021? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",8.9395,medium,per share,CFO / Weighted-Average Basic Shares,"year,NetCashFromOperatingActivities,SharesAverage
+2017,21056000000.0,2692000000.0
+2018,22201000000.0,2681500000.0
+2019,23416000000.0,2645100000.0
+2020,23536000000.0,2632800000.0
+2021,23410000000.0,2632100000.0
+","year,Operating Cash Flow Per Share
+2017,7.8216939078751855
+2018,8.279321275405557
+2019,8.852595365014555
+2020,8.939532057125493
+2021,8.894038980281904
+"
+US,fundamental,"From 2016 to 2020, what is the average of Amgen's Operating Cash Flow Per Share? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",15.8517,medium,per share,CFO / Weighted-Average Basic Shares,"year,NetCashFromOperatingActivities,SharesAverage
+2016,10354000000.0,748000000.0
+2017,11177000000.0,731000000.0
+2018,11296000000.0,661000000.0
+2019,9150000000.0,605000000.0
+2020,10497000000.0,586000000.0
+","year,Operating Cash Flow Per Share
+2016,13.842245989304812
+2017,15.290013679890562
+2018,17.089258698941
+2019,15.12396694214876
+2020,17.91296928327645
+"
+US,fundamental,"What was the maximum of Operating Cash Flow Per Share for Archer Daniels Midland during 2020-2024? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",11.6933,medium,per share,CFO / Weighted-Average Basic Shares,"year,NetCashFromOperatingActivities,SharesAverage
+2020,-2386000000.0,561000000.0
+2021,6595000000.0,564000000.0
+2022,3478000000.0,562000000.0
+2023,4460000000.0,541000000.0
+2024,2790000000.0,492000000.0
+","year,Operating Cash Flow Per Share
+2020,-4.253119429590018
+2021,11.693262411347519
+2022,6.1886120996441285
+2023,8.243992606284658
+2024,5.670731707317073
+"
+US,fundamental,"For Interactive Brokers's Operating Cash Flow Per Share, what is the maximum over 2020 to 2022? According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",100.9266,medium,per share,CFO / Weighted-Average Basic Shares,"year,NetCashFromOperatingActivities,SharesAverage
+2020,8068000000.0,79939289.0
+2021,5896000000.0,94167572.0
+2022,3968000000.0,100460016.0
+","year,Operating Cash Flow Per Share
+2020,100.92659192903254
+2021,62.61178742083315
+2022,39.49830149340211
+"
+US,fundamental,"Calculate the CAGR of Arista Networks's Operating Cash Flow Per Share from 2021 to 2025. According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.1932,medium,per share,CFO / Weighted-Average Basic Shares,"year,NetCashFromOperatingActivities,SharesAverage
+2021,1015856000.0,306512000.0
+2022,492813000.0,306473000.0
+2023,2034014000.0,309354000.0
+2024,3708235000.0,1256303000.0
+2025,4371900000.0,1258000000.0
+","year,Operating Cash Flow Per Share
+2021,3.3142454455290493
+2022,1.6080144090996598
+2023,6.5750370126133815
+2024,2.951704326106043
+2025,3.4752782193958667
+"
+US,fundamental,"What is the minimum of Equity Multiplier for Dominion Energy from 2018 to 2022? (Use the average of beginning and ending values) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.437,medium,solvency,Average Total Assets / Average Stockholders Equity,"year,Assets,AllEquityBalance
+2017,76585000000.0,17142000000.0
+2018,77914000000.0,20107000000.0
+2019,103823000000.0,31994000000.0
+2020,95905000000.0,26117000000.0
+2021,99590000000.0,27308000000.0
+2022,104243000000.0,27881000000.0
+","year,Equity Multiplier
+2018,4.147735509678112
+2019,3.4881672136811193
+2020,3.4370084837638313
+2021,3.6592419279363595
+2022,3.6933628078059035
+"
+US,fundamental,"From 2021 to 2025, what is the average of Eversource Energy's Equity Multiplier? (Use the average of beginning and ending values) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.6495,medium,solvency,Average Total Assets / Average Stockholders Equity,"year,Assets,AllEquityBalance
+2020,46099598000.0,14063566000.0
+2021,48492144000.0,14599844000.0
+2022,53230900000.0,15473158000.0
+2023,55612245000.0,14173892000.0
+2024,59594529000.0,15039387000.0
+2025,63786711000.0,16197271000.0
+","year,Equity Multiplier
+2021,3.3000868354463058
+2022,3.3825370676329554
+2023,3.6712976501877925
+2024,3.9436440531033847
+2025,3.9498860601540664
+"
+US,fundamental,"What was the CAGR of Equity Multiplier for Church & Dwight during 2023-2025? (Use the average of beginning and ending values) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-3.873,medium,solvency,Average Total Assets / Average Stockholders Equity,"year,Assets,AllEquityBalance
+2022,8345600000.0,3489900000.0
+2023,8569200000.0,3855400000.0
+2024,8883100000.0,4360800000.0
+2025,8912400000.0,4002200000.0
+","year,Equity Multiplier
+2023,2.3028058758662002
+2024,2.1241328107884425
+2025,2.1278847303599187
+"
+US,fundamental,"For Intel's Equity Multiplier, what is the minimum over 2023 to 2025? (Use the average of beginning and ending values) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.8051,medium,solvency,Average Total Assets / Average Stockholders Equity,"year,Assets,AllEquityBalance
+2022,182103000000.0,101423000000.0
+2023,191572000000.0,105590000000.0
+2024,196485000000.0,99270000000.0
+2025,211429000000.0,114281000000.0
+","year,Equity Multiplier
+2023,1.8050798742107983
+2024,1.894254612906375
+2025,1.910147927193036
+"
+US,fundamental,"Calculate the CAGR of Gartner's Equity Multiplier from 2018 to 2020. (Use the average of beginning and ending values) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-1.5182,medium,solvency,Average Total Assets / Average Stockholders Equity,"year,Assets,AllEquityBalance
+2017,7283173000.0,983465000.0
+2018,6201474000.0,850757000.0
+2019,7151294000.0,938593000.0
+2020,7315967000.0,1090428000.0
+","year,Equity Multiplier
+2018,7.351698431269497
+2019,7.462356721714589
+2020,7.130168194414942
+"
+US,fundamental,"What is the CAGR of EBITDA for Lennar from 2018 to 2020? (Unit: $; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",15.5634,medium,valuation,EBITDA = EBIT + D&A = Pretax Income + Interest Expense + D&A,"year,PretaxIncomeLoss,InterestExpense,Depreciation & Amortization
+2018,2262684000.0,128877000.0,91181000.0
+2019,2434292000.0,49870000.0,92200000.0
+2020,3123788000.0,97336000.0,94553000.0
+","year,EBITDA
+2018,2482742000.0
+2019,2576362000.0
+2020,3315677000.0
+"
+US,fundamental,"From 2019 to 2021, what is the average of Huntington Bancshares's EBITDA? (Unit: $; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2335666666.6667,medium,valuation,EBITDA = EBIT + D&A = Pretax Income + Interest Expense + D&A,"year,PretaxIncomeLoss,InterestExpense,DepreciationExpense,AmortizationOfIntangibles
+2019,1659000000.0,988000000.0,386000000.0,49000000.0
+2020,972000000.0,423000000.0,367000000.0,41000000.0
+2021,1591000000.0,89000000.0,391000000.0,51000000.0
+","year,EBITDA
+2019,3082000000.0
+2020,1803000000.0
+2021,2122000000.0
+"
+US,fundamental,"What was the average of EBITDA for Rockwell Automation during 2018-2022? (Unit: $; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1475680000.0,medium,valuation,EBITDA = EBIT + D&A = Pretax Income + Interest Expense + D&A,"year,PretaxIncomeLoss,InterestExpense,DepreciationExpense,AmortizationOfIntangibles
+2018,1330800000.0,73000000.0,136400000.0,28200000.0
+2019,901000000.0,98200000.0,126200000.0,26000000.0
+2020,1136100000.0,103500000.0,122500000.0,50200000.0
+2021,1526200000.0,94600000.0,123900000.0,65900000.0
+2022,1073600000.0,123200000.0,126600000.0,112300000.0
+","year,EBITDA
+2018,1568400000.0
+2019,1151400000.0
+2020,1412300000.0
+2021,1810600000.0
+2022,1435700000.0
+"
+US,fundamental,"For Palantir Technologies's EBITDA, what is the CAGR over 2023 to 2025? (Unit: $; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",147.9136,medium,valuation,EBITDA = EBIT + D&A = Pretax Income + Interest Expense + D&A,"year,PretaxIncomeLoss,InterestExpense,Depreciation & Amortization
+2023,237091000.0,3470000.0,33354000.0
+2024,489173000.0,0.0,31587000.0
+2025,1657368000.0,0.0,26145000.0
+","year,EBITDA
+2023,273915000.0
+2024,520760000.0
+2025,1683513000.0
+"
+US,fundamental,"Calculate the maximum of United Parcel Service's EBITDA from 2017 to 2021. (Unit: $; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",20242000000.0,medium,valuation,EBITDA = EBIT + D&A = Pretax Income + Interest Expense + D&A,"year,PretaxIncomeLoss,InterestExpense,Depreciation & Amortization
+2017,7148000000.0,453000000.0,2282000000.0
+2018,6019000000.0,605000000.0,2207000000.0
+2019,5652000000.0,653000000.0,2360000000.0
+2020,1844000000.0,701000000.0,2698000000.0
+2021,16595000000.0,694000000.0,2953000000.0
+","year,EBITDA
+2017,9883000000.0
+2018,8831000000.0
+2019,8665000000.0
+2020,5243000000.0
+2021,20242000000.0
+"
+US,fundamental,"What is the CAGR of NOPAT for Intuit from 2020 to 2024? (Unit: $; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",14.2402,medium,valuation,NOPAT = EBIT x (1 - effective tax rate); EBIT = Pretax Income + Interest Expense; effective tax rate = Income Taxes / Pretax Income,"year,PretaxIncomeLoss,InterestExpense,IncomeTaxes
+2020,2198000000.0,14000000.0,372000000.0
+2021,2556000000.0,30000000.0,494000000.0
+2022,2542000000.0,67000000.0,476000000.0
+2023,2989000000.0,272000000.0,605000000.0
+2024,3550000000.0,200000000.0,587000000.0
+","year,NOPAT
+2020,1837630573.2484076
+2021,2086201877.9342723
+2022,2120453973.24941
+2023,2600944797.5911674
+2024,3129929577.464789
+"
+US,fundamental,"From 2023 to 2025, what is the minimum of United Rentals's NOPAT? (Unit: $; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2903364683.8991,medium,valuation,NOPAT = EBIT x (1 - effective tax rate); EBIT = Pretax Income + Interest Expense; effective tax rate = Income Taxes / Pretax Income,"year,PretaxIncomeLoss,InterestExpense,IncomeTaxes
+2023,3211000000.0,635000000.0,787000000.0
+2024,3388000000.0,691000000.0,813000000.0
+2025,3338000000.0,716000000.0,844000000.0
+","year,NOPAT
+2023,2903364683.899097
+2024,3100184474.616293
+2025,3028962252.8460155
+"
+US,fundamental,"What was the average of NOPAT for Honeywell during 2016-2018? (Unit: $; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",4679500493.8298,medium,valuation,NOPAT = EBIT x (1 - effective tax rate); EBIT = Pretax Income + Interest Expense; effective tax rate = Income Taxes / Pretax Income,"year,PretaxIncomeLoss,InterestExpense,IncomeTaxes
+2016,6447000000.0,338000000.0,1601000000.0
+2017,6902000000.0,316000000.0,5204000000.0
+2018,7487000000.0,367000000.0,659000000.0
+","year,NOPAT
+2016,5100063595.470762
+2017,1775740944.6537237
+2018,7162696941.365033
+"
+US,fundamental,"For American Express's NOPAT, what is the maximum over 2019 to 2023? (Unit: $; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",13829486159.9924,medium,valuation,NOPAT = EBIT x (1 - effective tax rate); EBIT = Pretax Income + Interest Expense; effective tax rate = Income Taxes / Pretax Income,"year,PretaxIncomeLoss,InterestExpense,IncomeTaxes
+2019,8429000000.0,3464000000.0,1670000000.0
+2020,4296000000.0,2098000000.0,1161000000.0
+2021,10689000000.0,1283000000.0,2629000000.0
+2022,9585000000.0,2763000000.0,2071000000.0
+2023,10513000000.0,6849000000.0,2139000000.0
+","year,NOPAT
+2019,9536693202.040575
+2020,4666012569.832402
+2021,9027441294.789036
+2022,9680007511.73709
+2023,13829486159.99239
+"
+US,fundamental,"Calculate the maximum of Cboe Global Markets's NOPAT from 2019 to 2021. (Unit: $; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",558454966.2743,medium,valuation,NOPAT = EBIT x (1 - effective tax rate); EBIT = Pretax Income + Interest Expense; effective tax rate = Income Taxes / Pretax Income,"year,PretaxIncomeLoss,InterestExpense,IncomeTaxes
+2019,501400000.0,32700000.0,130600000.0
+2020,660400000.0,29200000.0,192200000.0
+2021,756100000.0,42100000.0,227100000.0
+","year,NOPAT
+2019,394982608.6956522
+2020,488901756.5112053
+2021,558454966.2743024
+"
+US,macro,"What is the Incremental Capital Output Ratio of the US in 2021? (Use BEA real investment and real GDP (chained 2017 dollars).) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.1608,easy,productivity,ICOR = \Delta K / \Delta Y = Real Gross Private Domestic Investment / change in GDP,"year,Real Gross Private Domestic Investment (Billion USD),Real GDP (Billion USD)
+2020,3618.559,20284.5
+2021,3944.358,21532.407
+",
+US,macro,"In 2018, what was the US Incremental Capital Output Ratio? (Use BEA real investment and real GDP (chained 2017 dollars).) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",6.3048,easy,productivity,ICOR = \Delta K / \Delta Y = Real Gross Private Domestic Investment / change in GDP,"year,Real Gross Private Domestic Investment (Billion USD),Real GDP (Billion USD)
+2017,3467.664,19612.102
+2018,3668.081,20193.896
+",
+US,macro,"What was the Incremental Capital Output Ratio reported in the US in 2022? (Use BEA real investment and real GDP (chained 2017 dollars).) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",7.6996,easy,productivity,ICOR = \Delta K / \Delta Y = Real Gross Private Domestic Investment / change in GDP,"year,Real Gross Private Domestic Investment (Billion USD),Real GDP (Billion USD)
+2021,3944.358,21532.407
+2022,4184.911,22075.931
+",
+US,macro,"For Incremental Capital Output Ratio, what is the US value in 2023? (Use BEA real investment and real GDP (chained 2017 dollars).) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",6.5137,easy,productivity,ICOR = \Delta K / \Delta Y = Real Gross Private Domestic Investment / change in GDP,"year,Real Gross Private Domestic Investment (Billion USD),Real GDP (Billion USD)
+2022,4184.911,22075.931
+2023,4219.497,22723.719
+",
+US,macro,"Calculate the US Incremental Capital Output Ratio for 2024. (Use BEA real investment and real GDP (chained 2017 dollars).) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",6.8479,easy,productivity,ICOR = \Delta K / \Delta Y = Real Gross Private Domestic Investment / change in GDP,"year,Real Gross Private Domestic Investment (Billion USD),Real GDP (Billion USD)
+2023,4219.497,22723.719
+2024,4346.493,23358.435
+",
+US,macro,"What is the Total Factor Productivity Growth of the US in 2025? (Unit: %; \Delta K is set to a constant 6%) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-1.0769,easy,productivity,TFP Growth = (\Delta Y - \alpha \Delta K - \beta \Delta L) * 100%; \alpha = 1 - \beta; \beta = Compensation of Employees / GDP,"year,Nominal GDP (Billion USD),Real GDP Growth Rate (%),Total Employees (Thousand),Compensation of Employees (Billion USD)
+2024,29298.013,2.8,157693.16666666666,15027.059
+2025,30762.099,2.1,158456.83333333334,15745.135
+",
+US,macro,"In 2024, what was the US Total Factor Productivity Growth? (Unit: %; \Delta K is set to a constant 6%) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-0.7233,easy,productivity,TFP Growth = (\Delta Y - \alpha \Delta K - \beta \Delta L) * 100%; \alpha = 1 - \beta; \beta = Compensation of Employees / GDP,"year,Nominal GDP (Billion USD),Real GDP Growth Rate (%),Total Employees (Thousand),Compensation of Employees (Billion USD)
+2023,27811.517,2.9,155867.58333333334,14207.393
+2024,29298.013,2.8,157693.16666666666,15027.059
+",
+US,macro,"What was the Total Factor Productivity Growth reported in the US in 2019? (Unit: %; \Delta K is set to a constant 6%) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-0.9238,easy,productivity,TFP Growth = (\Delta Y - \alpha \Delta K - \beta \Delta L) * 100%; \alpha = 1 - \beta; \beta = Compensation of Employees / GDP,"year,Nominal GDP (Billion USD),Real GDP Growth Rate (%),Total Employees (Thousand),Compensation of Employees (Billion USD)
+2018,20656.516,3.0,148908.75,10957.404
+2019,21539.982,2.6,150904.66666666666,11446.611
+",
+US,macro,"For Total Factor Productivity Growth, what is the US value in 2022? (Unit: %; \Delta K is set to a constant 6%) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-2.6035,easy,productivity,TFP Growth = (\Delta Y - \alpha \Delta K - \beta \Delta L) * 100%; \alpha = 1 - \beta; \beta = Compensation of Employees / GDP,"year,Nominal GDP (Billion USD),Real GDP Growth Rate (%),Total Employees (Thousand),Compensation of Employees (Billion USD)
+2021,23725.645,6.2,146284.83333333334,12558.374
+2022,26054.614,2.5,152520.25,13443.377
+",
+US,macro,"Calculate the US Total Factor Productivity Growth for 2018. (Unit: %; \Delta K is set to a constant 6%) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-0.6503,easy,productivity,TFP Growth = (\Delta Y - \alpha \Delta K - \beta \Delta L) * 100%; \alpha = 1 - \beta; \beta = Compensation of Employees / GDP,"year,Nominal GDP (Billion USD),Real GDP Growth Rate (%),Total Employees (Thousand),Compensation of Employees (Billion USD)
+2017,19612.102,2.5,146606.41666666666,10424.372
+2018,20656.516,3.0,148908.75,10957.404
+",
+US,macro,"What is the Trade Openness of the US in 2024? (Unit: %) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",25.016,easy,external trade,(Exports + Imports) / GDP * 100%,"year,Exports of Goods and Services (Billion USD),Imports of Goods and Services (Billion USD),Nominal GDP (Billion USD)
+2024,3215.368,4113.828,29298.013
+",
+US,macro,"In 2022, what was the US Trade Openness? (Unit: %) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",26.9079,easy,external trade,(Exports + Imports) / GDP * 100%,"year,Exports of Goods and Services (Billion USD),Imports of Goods and Services (Billion USD),Nominal GDP (Billion USD)
+2022,3036.43,3974.319,26054.614
+",
+US,macro,"What was the Trade Openness reported in the US in 2018? (Unit: %) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",27.4454,easy,external trade,(Exports + Imports) / GDP * 100%,"year,Exports of Goods and Services (Billion USD),Imports of Goods and Services (Billion USD),Nominal GDP (Billion USD)
+2018,2538.089,3131.166,20656.516
+",
+US,macro,"For Trade Openness, what is the US value in 2016? (Unit: %) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",26.4526,easy,external trade,(Exports + Imports) / GDP * 100%,"year,Exports of Goods and Services (Billion USD),Imports of Goods and Services (Billion USD),Nominal GDP (Billion USD)
+2016,2235.558,2738.83,18804.913
+",
+US,macro,"Calculate the US Trade Openness for 2025. (Unit: %) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",24.5946,easy,external trade,(Exports + Imports) / GDP * 100%,"year,Exports of Goods and Services (Billion USD),Imports of Goods and Services (Billion USD),Nominal GDP (Billion USD)
+2025,3319.66,4246.147,30762.099
+",
+US,macro,"What is the Federal Debt to GDP of the US in 2025? (Unit: %) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",98.0661,easy,fiscal,Federal Debt Held by the Public / GDP * 100%,"year,Gross Federal Debt Held by the Public (Billion USD),Nominal GDP (Billion USD)
+2025,30167.2,30762.099
+",
+US,macro,"In 2019, what was the US Federal Debt to GDP? (Unit: %) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",77.9977,easy,fiscal,Federal Debt Held by the Public / GDP * 100%,"year,Gross Federal Debt Held by the Public (Billion USD),Nominal GDP (Billion USD)
+2019,16800.7,21539.982
+",
+US,macro,"What was the Federal Debt to GDP reported in the US in 2016? (Unit: %) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",75.3399,easy,fiscal,Federal Debt Held by the Public / GDP * 100%,"year,Gross Federal Debt Held by the Public (Billion USD),Nominal GDP (Billion USD)
+2016,14167.6,18804.913
+",
+US,macro,"For Federal Debt to GDP, what is the US value in 2024? (Unit: %) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",96.2314,easy,fiscal,Federal Debt Held by the Public / GDP * 100%,"year,Gross Federal Debt Held by the Public (Billion USD),Nominal GDP (Billion USD)
+2024,28193.9,29298.013
+",
+US,macro,"Calculate the US Federal Debt to GDP for 2023. (Unit: %) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",94.3336,easy,fiscal,Federal Debt Held by the Public / GDP * 100%,"year,Gross Federal Debt Held by the Public (Billion USD),Nominal GDP (Billion USD)
+2023,26235.6,27811.517
+",
+US,macro,"What is the Fiscal Deficit Ratio of the US in 2020? (Unit: %) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",14.4824,easy,fiscal,Federal Deficit / GDP * 100%; Federal Deficit = Federal Outlays - Federal Receipts,"year,Federal Outlays (Billion USD),Federal Receipts (Billion USD),Nominal GDP (Billion USD)
+2020,6516.817,3421.164,21375.281
+",
+US,macro,"In 2025, what was the US Fiscal Deficit Ratio? (Unit: %) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",5.7691,easy,fiscal,Federal Deficit / GDP * 100%; Federal Deficit = Federal Outlays - Federal Receipts,"year,Federal Outlays (Billion USD),Federal Receipts (Billion USD),Nominal GDP (Billion USD)
+2025,7011.1050000000005,5236.421,30762.099
+",
+US,macro,"What was the Fiscal Deficit Ratio reported in the US in 2024? (Unit: %) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",6.1962,easy,fiscal,Federal Deficit / GDP * 100%; Federal Deficit = Federal Outlays - Federal Receipts,"year,Federal Outlays (Billion USD),Federal Receipts (Billion USD),Nominal GDP (Billion USD)
+2024,6735.261,4919.884,29298.013
+",
+US,macro,"For Fiscal Deficit Ratio, what is the US value in 2023? (Unit: %) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",6.0675,easy,fiscal,Federal Deficit / GDP * 100%; Federal Deficit = Federal Outlays - Federal Receipts,"year,Federal Outlays (Billion USD),Federal Receipts (Billion USD),Nominal GDP (Billion USD)
+2023,6128.415,4440.948,27811.517
+",
+US,macro,"Calculate the US Fiscal Deficit Ratio for 2019. (Unit: %) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",4.5663,easy,fiscal,Federal Deficit / GDP * 100%; Federal Deficit = Federal Outlays - Federal Receipts,"year,Federal Outlays (Billion USD),Federal Receipts (Billion USD),Nominal GDP (Billion USD)
+2019,4446.952,3463.364,21539.982
+",
+US,macro,"What is the Federal Tax Burden of the US in 2024? (Unit: %) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",10.6454,easy,fiscal,Federal Tax Receipts / GDP * 100%,"year,Federal Tax Receipts (Billion USD),Nominal GDP (Billion USD)
+2024,3118.885,29298.013
+",
+US,macro,"In 2021, what was the US Federal Tax Burden? (Unit: %) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",11.275,easy,fiscal,Federal Tax Receipts / GDP * 100%,"year,Federal Tax Receipts (Billion USD),Nominal GDP (Billion USD)
+2021,2675.072,23725.645
+",
+US,macro,"What was the Federal Tax Burden reported in the US in 2018? (Unit: %) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",9.8199,easy,fiscal,Federal Tax Receipts / GDP * 100%,"year,Federal Tax Receipts (Billion USD),Nominal GDP (Billion USD)
+2018,2028.439,20656.516
+",
+US,macro,"For Federal Tax Burden, what is the US value in 2020? (Unit: %) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",10.0547,easy,fiscal,Federal Tax Receipts / GDP * 100%,"year,Federal Tax Receipts (Billion USD),Nominal GDP (Billion USD)
+2020,2149.223,21375.281
+",
+US,macro,"Calculate the US Federal Tax Burden for 2017. (Unit: %) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",10.1968,easy,fiscal,Federal Tax Receipts / GDP * 100%,"year,Federal Tax Receipts (Billion USD),Nominal GDP (Billion USD)
+2017,1999.804,19612.102
+",
+US,macro,"What is the Macro Real Rate of the US in 2021? (Unit: %; Use 10-Year Treasury rate as the risk-free rate; use GDP deflator for inflation) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-3.15,easy,inflation,10-Year Treasury Constant Maturity Rate - GDP Deflator Inflation,"year,10-Year Treasury Constant Maturity Rate (%),GDP Deflator Inflation (%)
+2021,1.45,4.6
+",
+US,macro,"In 2020, what was the US Macro Real Rate? (Unit: %; Use 10-Year Treasury rate as the risk-free rate; use GDP deflator for inflation) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-0.41,easy,inflation,10-Year Treasury Constant Maturity Rate - GDP Deflator Inflation,"year,10-Year Treasury Constant Maturity Rate (%),GDP Deflator Inflation (%)
+2020,0.89,1.3
+",
+US,macro,"What was the Macro Real Rate reported in the US in 2024? (Unit: %; Use 10-Year Treasury rate as the risk-free rate; use GDP deflator for inflation) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.71,easy,inflation,10-Year Treasury Constant Maturity Rate - GDP Deflator Inflation,"year,10-Year Treasury Constant Maturity Rate (%),GDP Deflator Inflation (%)
+2024,4.21,2.5
+",
+US,macro,"For Macro Real Rate, what is the US value in 2019? (Unit: %; Use 10-Year Treasury rate as the risk-free rate; use GDP deflator for inflation) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.44,easy,inflation,10-Year Treasury Constant Maturity Rate - GDP Deflator Inflation,"year,10-Year Treasury Constant Maturity Rate (%),GDP Deflator Inflation (%)
+2019,2.14,1.7
+",
+US,macro,"Calculate the US Macro Real Rate for 2017. (Unit: %; Use 10-Year Treasury rate as the risk-free rate; use GDP deflator for inflation) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.53,easy,inflation,10-Year Treasury Constant Maturity Rate - GDP Deflator Inflation,"year,10-Year Treasury Constant Maturity Rate (%),GDP Deflator Inflation (%)
+2017,2.33,1.8
+",
+US,macro,"What is the Household Real Rate of the US in 2020? (Unit: %; Use 30-Year Fixed Mortgage rate as a proxy for household borrowing cost; use CPI for consumer inflation) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.8781,easy,inflation,30-Year Fixed Rate Mortgage Average - CPI Inflation,"year,30-Year Fixed Rate Mortgage Average (%),CPI Inflation (%)
+2020,3.111698113207547,1.23358439630629
+",
+US,macro,"In 2016, what was the US Household Real Rate? (Unit: %; Use 30-Year Fixed Mortgage rate as a proxy for household borrowing cost; use CPI for consumer inflation) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.3925,easy,inflation,30-Year Fixed Rate Mortgage Average - CPI Inflation,"year,30-Year Fixed Rate Mortgage Average (%),CPI Inflation (%)
+2016,3.6540384615384616,1.26158320570536
+",
+US,macro,"What was the Household Real Rate reported in the US in 2021? (Unit: %; Use 30-Year Fixed Mortgage rate as a proxy for household borrowing cost; use CPI for consumer inflation) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-1.7402,easy,inflation,30-Year Fixed Rate Mortgage Average - CPI Inflation,"year,30-Year Fixed Rate Mortgage Average (%),CPI Inflation (%)
+2021,2.957692307692308,4.69785886363742
+",
+US,macro,"For Household Real Rate, what is the US value in 2019? (Unit: %; Use 30-Year Fixed Mortgage rate as a proxy for household borrowing cost; use CPI for consumer inflation) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.1236,easy,inflation,30-Year Fixed Rate Mortgage Average - CPI Inflation,"year,30-Year Fixed Rate Mortgage Average (%),CPI Inflation (%)
+2019,3.935769230769231,1.81221007526021
+",
+US,macro,"Calculate the US Household Real Rate for 2024. (Unit: %; Use 30-Year Fixed Mortgage rate as a proxy for household borrowing cost; use CPI for consumer inflation) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.7716,easy,inflation,30-Year Fixed Rate Mortgage Average - CPI Inflation,"year,30-Year Fixed Rate Mortgage Average (%),CPI Inflation (%)
+2024,6.721153846153846,2.94952520485207
+",
+US,macro,"What is the Corporate Real Rate of the US in 2017? (Unit: %; Use Moody's Baa Corporate Bond Yield as a proxy for corporate borrowing cost; use GDP deflator for inflation) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.64,easy,inflation,Moody's Seasoned Baa Corporate Bond Yield - GDP Deflator Inflation,"year,Moody's Seasoned Baa Corporate Bond Yield,GDP Deflator Inflation (%)
+2017,4.44,1.8
+",
+US,macro,"In 2025, what was the US Corporate Real Rate? (Unit: %; Use Moody's Baa Corporate Bond Yield as a proxy for corporate borrowing cost; use GDP deflator for inflation) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.1983,easy,inflation,Moody's Seasoned Baa Corporate Bond Yield - GDP Deflator Inflation,"year,Moody's Seasoned Baa Corporate Bond Yield,GDP Deflator Inflation (%)
+2025,5.998333333333334,2.8
+",
+US,macro,"What was the Corporate Real Rate reported in the US in 2016? (Unit: %; Use Moody's Baa Corporate Bond Yield as a proxy for corporate borrowing cost; use GDP deflator for inflation) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.7175,easy,inflation,Moody's Seasoned Baa Corporate Bond Yield - GDP Deflator Inflation,"year,Moody's Seasoned Baa Corporate Bond Yield,GDP Deflator Inflation (%)
+2016,4.7175,1.0
+",
+US,macro,"For Corporate Real Rate, what is the US value in 2023? (Unit: %; Use Moody's Baa Corporate Bond Yield as a proxy for corporate borrowing cost; use GDP deflator for inflation) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.1608,easy,inflation,Moody's Seasoned Baa Corporate Bond Yield - GDP Deflator Inflation,"year,Moody's Seasoned Baa Corporate Bond Yield,GDP Deflator Inflation (%)
+2023,5.860833333333333,3.7
+",
+US,macro,"Calculate the US Corporate Real Rate for 2024. (Unit: %; Use Moody's Baa Corporate Bond Yield as a proxy for corporate borrowing cost; use GDP deflator for inflation) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.2533,easy,inflation,Moody's Seasoned Baa Corporate Bond Yield - GDP Deflator Inflation,"year,Moody's Seasoned Baa Corporate Bond Yield,GDP Deflator Inflation (%)
+2024,5.753333333333333,2.5
+",
+US,macro,"What is the Real Wage Growth Rate of the US in 2018? (Unit: %; Use Average Hourly Earnings as a proxy for wage) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.5557,easy,labor,Average Hourly Earnings Growth Rate - CPI Inflation,"year,Average Hourly Earnings (USD),CPI Inflation (%)
+2017,26.320833333333336,2.13011000365961
+2018,27.11,2.44258329692817
+",
+US,macro,"In 2017, what was the US Real Wage Growth Rate? (Unit: %; Use Average Hourly Earnings as a proxy for wage) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.5453,easy,labor,Average Hourly Earnings Growth Rate - CPI Inflation,"year,Average Hourly Earnings (USD),CPI Inflation (%)
+2016,25.635,1.26158320570536
+2017,26.320833333333336,2.13011000365961
+",
+US,macro,"What was the Real Wage Growth Rate reported in the US in 2024? (Unit: %; Use Average Hourly Earnings as a proxy for wage) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.02,easy,labor,Average Hourly Earnings Growth Rate - CPI Inflation,"year,Average Hourly Earnings (USD),CPI Inflation (%)
+2023,33.715,4.11633838374488
+2024,35.053333333333335,2.94952520485207
+",
+US,macro,"For Real Wage Growth Rate, what is the US value in 2023? (Unit: %; Use Average Hourly Earnings as a proxy for wage) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.4101,easy,labor,Average Hourly Earnings Growth Rate - CPI Inflation,"year,Average Hourly Earnings (USD),CPI Inflation (%)
+2022,32.255,8.00279982052121
+2023,33.715,4.11633838374488
+",
+US,macro,"Calculate the US Real Wage Growth Rate for 2020. (Unit: %; Use Average Hourly Earnings as a proxy for wage) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.6816,easy,labor,Average Hourly Earnings Growth Rate - CPI Inflation,"year,Average Hourly Earnings (USD),CPI Inflation (%)
+2019,27.991666666666664,1.81221007526021
+2020,29.367500000000003,1.23358439630629
+",
+US,macro,"What is the difference between the maximum and average values of the US Incremental Capital Output Ratio from 2019 to 2023? (Use BEA real investment and real GDP (chained 2017 dollars).) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",4.4528,hard,productivity,ICOR = \Delta K / \Delta Y = Real Gross Private Domestic Investment / change in GDP,"year,Real Gross Private Domestic Investment (Billion USD),Real GDP (Billion USD)
+2018,3668.081,20193.896
+2019,3783.988,20715.671
+2020,3618.559,20284.5
+2021,3944.358,21532.407
+2022,4184.911,22075.931
+2023,4219.497,22723.719
+","year,Incremental Capital Output Ratio
+2019,7.252145081692331
+2020,-8.392398839439602
+2021,3.1607788080361776
+2022,7.699588242653481
+2023,6.5137004699068175
+"
+US,macro,"From 2019 to 2021, what was the difference between the maximum and average values of the US Incremental Capital Output Ratio? (Use BEA real investment and real GDP (chained 2017 dollars).) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",6.5786,hard,productivity,ICOR = \Delta K / \Delta Y = Real Gross Private Domestic Investment / change in GDP,"year,Real Gross Private Domestic Investment (Billion USD),Real GDP (Billion USD)
+2018,3668.081,20193.896
+2019,3783.988,20715.671
+2020,3618.559,20284.5
+2021,3944.358,21532.407
+","year,Incremental Capital Output Ratio
+2019,7.252145081692331
+2020,-8.392398839439602
+2021,3.1607788080361776
+"
+US,macro,"During 2017–2019, how much did the US Incremental Capital Output Ratio's maximum value exceed its average? (Use BEA real investment and real GDP (chained 2017 dollars).) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.3952,hard,productivity,ICOR = \Delta K / \Delta Y = Real Gross Private Domestic Investment / change in GDP,"year,Real Gross Private Domestic Investment (Billion USD),Real GDP (Billion USD)
+2016,3320.238,19141.672
+2017,3467.664,19612.102
+2018,3668.081,20193.896
+2019,3783.988,20715.671
+","year,Incremental Capital Output Ratio
+2017,7.371264587717616
+2018,6.30477626101333
+2019,7.252145081692331
+"
+US,macro,"In the period 2018–2022, what was the gap between the highest and average values of the US Incremental Capital Output Ratio? (Use BEA real investment and real GDP (chained 2017 dollars).) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",4.4946,hard,productivity,ICOR = \Delta K / \Delta Y = Real Gross Private Domestic Investment / change in GDP,"year,Real Gross Private Domestic Investment (Billion USD),Real GDP (Billion USD)
+2017,3467.664,19612.102
+2018,3668.081,20193.896
+2019,3783.988,20715.671
+2020,3618.559,20284.5
+2021,3944.358,21532.407
+2022,4184.911,22075.931
+","year,Incremental Capital Output Ratio
+2018,6.30477626101333
+2019,7.252145081692331
+2020,-8.392398839439602
+2021,3.1607788080361776
+2022,7.699588242653481
+"
+US,macro,"For the US Incremental Capital Output Ratio from 2021 to 2023, calculate the difference between its maximum and average values. (Use BEA real investment and real GDP (chained 2017 dollars).) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.9082,hard,productivity,ICOR = \Delta K / \Delta Y = Real Gross Private Domestic Investment / change in GDP,"year,Real Gross Private Domestic Investment (Billion USD),Real GDP (Billion USD)
+2020,3618.559,20284.5
+2021,3944.358,21532.407
+2022,4184.911,22075.931
+2023,4219.497,22723.719
+","year,Incremental Capital Output Ratio
+2021,3.1607788080361776
+2022,7.699588242653481
+2023,6.5137004699068175
+"
+US,macro,"What is the difference between the maximum and average values of the US Total Factor Productivity Growth from 2019 to 2021? (Unit: %; \Delta K is set to a constant 6%) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.1111,hard,productivity,TFP Growth = (\Delta Y - \alpha \Delta K - \beta \Delta L) * 100%; \alpha = 1 - \beta; \beta = Compensation of Employees / GDP,"year,Nominal GDP (Billion USD),Real GDP Growth Rate (%),Total Employees (Thousand),Compensation of Employees (Billion USD)
+2018,20656.516,3.0,148908.75,10957.404
+2019,21539.982,2.6,150904.66666666666,11446.611
+2020,21375.281,-2.1,142185.91666666666,11598.138
+2021,23725.645,6.2,146284.83333333334,12558.374
+","year,Total Factor Productivity Growth
+2019,-0.923811265684706
+2020,-1.7094940611358016
+2021,1.849992264020304
+"
+US,macro,"From 2022 to 2024, what was the difference between the maximum and average values of the US Total Factor Productivity Growth? (Unit: %; \Delta K is set to a constant 6%) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.771,hard,productivity,TFP Growth = (\Delta Y - \alpha \Delta K - \beta \Delta L) * 100%; \alpha = 1 - \beta; \beta = Compensation of Employees / GDP,"year,Nominal GDP (Billion USD),Real GDP Growth Rate (%),Total Employees (Thousand),Compensation of Employees (Billion USD)
+2021,23725.645,6.2,146284.83333333334,12558.374
+2022,26054.614,2.5,152520.25,13443.377
+2023,27811.517,2.9,155867.58333333334,14207.393
+2024,29298.013,2.8,157693.16666666666,15027.059
+","year,Total Factor Productivity Growth
+2022,-2.6035126501669303
+2023,-1.1560693998444846
+2024,-0.7233111248846524
+"
+US,macro,"During 2021–2023, how much did the US Total Factor Productivity Growth's maximum value exceed its average? (Unit: %; \Delta K is set to a constant 6%) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.4865,hard,productivity,TFP Growth = (\Delta Y - \alpha \Delta K - \beta \Delta L) * 100%; \alpha = 1 - \beta; \beta = Compensation of Employees / GDP,"year,Nominal GDP (Billion USD),Real GDP Growth Rate (%),Total Employees (Thousand),Compensation of Employees (Billion USD)
+2020,21375.281,-2.1,142185.91666666666,11598.138
+2021,23725.645,6.2,146284.83333333334,12558.374
+2022,26054.614,2.5,152520.25,13443.377
+2023,27811.517,2.9,155867.58333333334,14207.393
+","year,Total Factor Productivity Growth
+2021,1.849992264020304
+2022,-2.6035126501669303
+2023,-1.1560693998444846
+"
+US,macro,"In the period 2023–2025, what was the gap between the highest and average values of the US Total Factor Productivity Growth? (Unit: %; \Delta K is set to a constant 6%) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.2621,hard,productivity,TFP Growth = (\Delta Y - \alpha \Delta K - \beta \Delta L) * 100%; \alpha = 1 - \beta; \beta = Compensation of Employees / GDP,"year,Nominal GDP (Billion USD),Real GDP Growth Rate (%),Total Employees (Thousand),Compensation of Employees (Billion USD)
+2022,26054.614,2.5,152520.25,13443.377
+2023,27811.517,2.9,155867.58333333334,14207.393
+2024,29298.013,2.8,157693.16666666666,15027.059
+2025,30762.099,2.1,158456.83333333334,15745.135
+","year,Total Factor Productivity Growth
+2023,-1.1560693998444846
+2024,-0.7233111248846524
+2025,-1.0768553933665608
+"
+US,macro,"For the US Total Factor Productivity Growth from 2021 to 2025, calculate the difference between its maximum and average values. (Unit: %; \Delta K is set to a constant 6%) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.5919,hard,productivity,TFP Growth = (\Delta Y - \alpha \Delta K - \beta \Delta L) * 100%; \alpha = 1 - \beta; \beta = Compensation of Employees / GDP,"year,Nominal GDP (Billion USD),Real GDP Growth Rate (%),Total Employees (Thousand),Compensation of Employees (Billion USD)
+2020,21375.281,-2.1,142185.91666666666,11598.138
+2021,23725.645,6.2,146284.83333333334,12558.374
+2022,26054.614,2.5,152520.25,13443.377
+2023,27811.517,2.9,155867.58333333334,14207.393
+2024,29298.013,2.8,157693.16666666666,15027.059
+2025,30762.099,2.1,158456.83333333334,15745.135
+","year,Total Factor Productivity Growth
+2021,1.849992264020304
+2022,-2.6035126501669303
+2023,-1.1560693998444846
+2024,-0.7233111248846524
+2025,-1.0768553933665608
+"
+US,macro,"What is the difference between the maximum and average values of the US Trade Openness from 2017 to 2019? (Unit: %) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.5023,hard,external trade,(Exports + Imports) / GDP * 100%,"year,Exports of Goods and Services (Billion USD),Imports of Goods and Services (Billion USD),Nominal GDP (Billion USD)
+2017,2388.26,2931.589,19612.102
+2018,2538.089,3131.166,20656.516
+2019,2539.391,3116.681,21539.982
+","year,Trade Openness
+2017,27.125338222287443
+2018,27.445359130261853
+2019,26.25848062454277
+"
+US,macro,"From 2019 to 2021, what was the difference between the maximum and average values of the US Trade Openness? (Unit: %) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.3814,hard,external trade,(Exports + Imports) / GDP * 100%,"year,Exports of Goods and Services (Billion USD),Imports of Goods and Services (Billion USD),Nominal GDP (Billion USD)
+2019,2539.391,3116.681,21539.982
+2020,2163.837,2782.391,21375.281
+2021,2568.697,3417.93,23725.645
+","year,Trade Openness
+2019,26.25848062454277
+2020,23.139943750914902
+2021,25.232726022833102
+"
+US,macro,"During 2022–2024, how much did the US Trade Openness's maximum value exceed its average? (Unit: %) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.2902,hard,external trade,(Exports + Imports) / GDP * 100%,"year,Exports of Goods and Services (Billion USD),Imports of Goods and Services (Billion USD),Nominal GDP (Billion USD)
+2022,3036.43,3974.319,26054.614
+2023,3073.36,3859.856,27811.517
+2024,3215.368,4113.828,29298.013
+","year,Trade Openness
+2022,26.907898155773868
+2023,24.92929817528472
+2024,25.016017297828352
+"
+US,macro,"In the period 2020–2024, what was the gap between the highest and average values of the US Trade Openness? (Unit: %) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.8627,hard,external trade,(Exports + Imports) / GDP * 100%,"year,Exports of Goods and Services (Billion USD),Imports of Goods and Services (Billion USD),Nominal GDP (Billion USD)
+2020,2163.837,2782.391,21375.281
+2021,2568.697,3417.93,23725.645
+2022,3036.43,3974.319,26054.614
+2023,3073.36,3859.856,27811.517
+2024,3215.368,4113.828,29298.013
+","year,Trade Openness
+2020,23.139943750914902
+2021,25.232726022833102
+2022,26.907898155773868
+2023,24.92929817528472
+2024,25.016017297828352
+"
+US,macro,"For the US Trade Openness from 2017 to 2021, calculate the difference between its maximum and average values. (Unit: %) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.605,hard,external trade,(Exports + Imports) / GDP * 100%,"year,Exports of Goods and Services (Billion USD),Imports of Goods and Services (Billion USD),Nominal GDP (Billion USD)
+2017,2388.26,2931.589,19612.102
+2018,2538.089,3131.166,20656.516
+2019,2539.391,3116.681,21539.982
+2020,2163.837,2782.391,21375.281
+2021,2568.697,3417.93,23725.645
+","year,Trade Openness
+2017,27.125338222287443
+2018,27.445359130261853
+2019,26.25848062454277
+2020,23.139943750914902
+2021,25.232726022833102
+"
+US,macro,"What is the difference between the maximum and average values of the US Federal Debt to GDP from 2019 to 2023? (Unit: %) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",6.7896,hard,fiscal,Federal Debt Held by the Public / GDP * 100%,"year,Gross Federal Debt Held by the Public (Billion USD),Nominal GDP (Billion USD)
+2019,16800.7,21539.982
+2020,21016.7,21375.281
+2021,22284.0,23725.645
+2022,24253.4,26054.614
+2023,26235.6,27811.517
+","year,Federal Debt to GDP
+2019,77.99774391640625
+2020,98.32245012357967
+2021,93.9236846880243
+2022,93.08677534044449
+2023,94.33358130014986
+"
+US,macro,"From 2017 to 2021, what was the difference between the maximum and average values of the US Federal Debt to GDP? (Unit: %) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",14.0692,hard,fiscal,Federal Debt Held by the Public / GDP * 100%,"year,Gross Federal Debt Held by the Public (Billion USD),Nominal GDP (Billion USD)
+2017,14665.4,19612.102
+2018,15749.6,20656.516
+2019,16800.7,21539.982
+2020,21016.7,21375.281
+2021,22284.0,23725.645
+","year,Federal Debt to GDP
+2017,74.77729822127175
+2018,76.24519062169051
+2019,77.99774391640625
+2020,98.32245012357967
+2021,93.9236846880243
+"
+US,macro,"During 2021–2025, how much did the US Federal Debt to GDP's maximum value exceed its average? (Unit: %) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.9378,hard,fiscal,Federal Debt Held by the Public / GDP * 100%,"year,Gross Federal Debt Held by the Public (Billion USD),Nominal GDP (Billion USD)
+2021,22284.0,23725.645
+2022,24253.4,26054.614
+2023,26235.6,27811.517
+2024,28193.9,29298.013
+2025,30167.2,30762.099
+","year,Federal Debt to GDP
+2021,93.9236846880243
+2022,93.08677534044449
+2023,94.33358130014986
+2024,96.23144067824668
+2025,98.0661300127797
+"
+US,macro,"In the period 2017–2019, what was the gap between the highest and average values of the US Federal Debt to GDP? (Unit: %) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.6577,hard,fiscal,Federal Debt Held by the Public / GDP * 100%,"year,Gross Federal Debt Held by the Public (Billion USD),Nominal GDP (Billion USD)
+2017,14665.4,19612.102
+2018,15749.6,20656.516
+2019,16800.7,21539.982
+","year,Federal Debt to GDP
+2017,74.77729822127175
+2018,76.24519062169051
+2019,77.99774391640625
+"
+US,macro,"For the US Federal Debt to GDP from 2020 to 2022, calculate the difference between its maximum and average values. (Unit: %) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.2115,hard,fiscal,Federal Debt Held by the Public / GDP * 100%,"year,Gross Federal Debt Held by the Public (Billion USD),Nominal GDP (Billion USD)
+2020,21016.7,21375.281
+2021,22284.0,23725.645
+2022,24253.4,26054.614
+","year,Federal Debt to GDP
+2020,98.32245012357967
+2021,93.9236846880243
+2022,93.08677534044449
+"
+US,macro,"What is the difference between the maximum and average values of the US Fiscal Deficit Ratio from 2021 to 2025? (Unit: %) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",4.6908,hard,fiscal,Federal Deficit / GDP * 100%; Federal Deficit = Federal Outlays - Federal Receipts,"year,Federal Outlays (Billion USD),Federal Receipts (Billion USD),Nominal GDP (Billion USD)
+2021,6820.705,4047.111,23725.645
+2022,6271.51,4897.339,26054.614
+2023,6128.415,4440.948,27811.517
+2024,6735.261,4919.884,29298.013
+2025,7011.1050000000005,5236.421,30762.099
+","year,Fiscal Deficit Ratio
+2021,11.690278599380544
+2022,5.27419442867202
+2023,6.06751152768833
+2024,6.196246141333886
+2025,5.7690601671882025
+"
+US,macro,"From 2021 to 2023, what was the difference between the maximum and average values of the US Fiscal Deficit Ratio? (Unit: %) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",4.013,hard,fiscal,Federal Deficit / GDP * 100%; Federal Deficit = Federal Outlays - Federal Receipts,"year,Federal Outlays (Billion USD),Federal Receipts (Billion USD),Nominal GDP (Billion USD)
+2021,6820.705,4047.111,23725.645
+2022,6271.51,4897.339,26054.614
+2023,6128.415,4440.948,27811.517
+","year,Fiscal Deficit Ratio
+2021,11.690278599380544
+2022,5.27419442867202
+2023,6.06751152768833
+"
+US,macro,"During 2018–2022, how much did the US Fiscal Deficit Ratio's maximum value exceed its average? (Unit: %) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",6.5254,hard,fiscal,Federal Deficit / GDP * 100%; Federal Deficit = Federal Outlays - Federal Receipts,"year,Federal Outlays (Billion USD),Federal Receipts (Billion USD),Nominal GDP (Billion USD)
+2018,4108.981,3329.907,20656.516
+2019,4446.952,3463.364,21539.982
+2020,6516.817,3421.164,21375.281
+2021,6820.705,4047.111,23725.645
+2022,6271.51,4897.339,26054.614
+","year,Fiscal Deficit Ratio
+2018,3.7715653501297104
+2019,4.566336220708077
+2020,14.482396746035759
+2021,11.690278599380544
+2022,5.27419442867202
+"
+US,macro,"In the period 2019–2023, what was the gap between the highest and average values of the US Fiscal Deficit Ratio? (Unit: %) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",6.0663,hard,fiscal,Federal Deficit / GDP * 100%; Federal Deficit = Federal Outlays - Federal Receipts,"year,Federal Outlays (Billion USD),Federal Receipts (Billion USD),Nominal GDP (Billion USD)
+2019,4446.952,3463.364,21539.982
+2020,6516.817,3421.164,21375.281
+2021,6820.705,4047.111,23725.645
+2022,6271.51,4897.339,26054.614
+2023,6128.415,4440.948,27811.517
+","year,Fiscal Deficit Ratio
+2019,4.566336220708077
+2020,14.482396746035759
+2021,11.690278599380544
+2022,5.27419442867202
+2023,6.06751152768833
+"
+US,macro,"For the US Fiscal Deficit Ratio from 2019 to 2021, calculate the difference between its maximum and average values. (Unit: %) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",4.2361,hard,fiscal,Federal Deficit / GDP * 100%; Federal Deficit = Federal Outlays - Federal Receipts,"year,Federal Outlays (Billion USD),Federal Receipts (Billion USD),Nominal GDP (Billion USD)
+2019,4446.952,3463.364,21539.982
+2020,6516.817,3421.164,21375.281
+2021,6820.705,4047.111,23725.645
+","year,Fiscal Deficit Ratio
+2019,4.566336220708077
+2020,14.482396746035759
+2021,11.690278599380544
+"
+US,macro,"What is the difference between the maximum and average values of the US Federal Tax Burden from 2023 to 2025? (Unit: %) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.5563,hard,fiscal,Federal Tax Receipts / GDP * 100%,"year,Federal Tax Receipts (Billion USD),Nominal GDP (Billion USD)
+2023,2918.06,27811.517
+2024,3118.885,29298.013
+2025,3507.89,30762.099
+","year,Federal Tax Burden
+2023,10.492271960569429
+2024,10.645380627007027
+2025,11.40328558204042
+"
+US,macro,"From 2020 to 2022, what was the difference between the maximum and average values of the US Federal Tax Burden? (Unit: %) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.2134,hard,fiscal,Federal Tax Receipts / GDP * 100%,"year,Federal Tax Receipts (Billion USD),Nominal GDP (Billion USD)
+2020,2149.223,21375.281
+2021,2675.072,23725.645
+2022,3252.924,26054.614
+","year,Federal Tax Burden
+2020,10.05471226319785
+2021,11.2750232923067
+2022,12.485020887279312
+"
+US,macro,"During 2019–2023, how much did the US Federal Tax Burden's maximum value exceed its average? (Unit: %) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.6617,hard,fiscal,Federal Tax Receipts / GDP * 100%,"year,Federal Tax Receipts (Billion USD),Nominal GDP (Billion USD)
+2019,2112.971,21539.982
+2020,2149.223,21375.281
+2021,2675.072,23725.645
+2022,3252.924,26054.614
+2023,2918.06,27811.517
+","year,Federal Tax Burden
+2019,9.809530017248854
+2020,10.05471226319785
+2021,11.2750232923067
+2022,12.485020887279312
+2023,10.492271960569429
+"
+US,macro,"In the period 2022–2024, what was the gap between the highest and average values of the US Federal Tax Burden? (Unit: %) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.2775,hard,fiscal,Federal Tax Receipts / GDP * 100%,"year,Federal Tax Receipts (Billion USD),Nominal GDP (Billion USD)
+2022,3252.924,26054.614
+2023,2918.06,27811.517
+2024,3118.885,29298.013
+","year,Federal Tax Burden
+2022,12.485020887279312
+2023,10.492271960569429
+2024,10.645380627007027
+"
+US,macro,"For the US Federal Tax Burden from 2017 to 2021, calculate the difference between its maximum and average values. (Unit: %) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0438,hard,fiscal,Federal Tax Receipts / GDP * 100%,"year,Federal Tax Receipts (Billion USD),Nominal GDP (Billion USD)
+2017,1999.804,19612.102
+2018,2028.439,20656.516
+2019,2112.971,21539.982
+2020,2149.223,21375.281
+2021,2675.072,23725.645
+","year,Federal Tax Burden
+2017,10.196785637765906
+2018,9.819850549821664
+2019,9.809530017248854
+2020,10.05471226319785
+2021,11.2750232923067
+"
+US,macro,"What is the difference between the maximum and average values of the US Macro Real Rate from 2018 to 2022? (Unit: %; Use 10-Year Treasury rate as the risk-free rate; use GDP deflator for inflation) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.942,hard,inflation,10-Year Treasury Constant Maturity Rate - GDP Deflator Inflation,"year,10-Year Treasury Constant Maturity Rate (%),GDP Deflator Inflation (%)
+2018,2.91,2.3
+2019,2.14,1.7
+2020,0.89,1.3
+2021,1.45,4.6
+2022,2.95,7.1
+","year,Macro Real Rate
+2018,0.6100000000000003
+2019,0.44000000000000017
+2020,-0.41000000000000003
+2021,-3.1499999999999995
+2022,-4.1499999999999995
+"
+US,macro,"From 2018 to 2020, what was the difference between the maximum and average values of the US Macro Real Rate? (Unit: %; Use 10-Year Treasury rate as the risk-free rate; use GDP deflator for inflation) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.3967,hard,inflation,10-Year Treasury Constant Maturity Rate - GDP Deflator Inflation,"year,10-Year Treasury Constant Maturity Rate (%),GDP Deflator Inflation (%)
+2018,2.91,2.3
+2019,2.14,1.7
+2020,0.89,1.3
+","year,Macro Real Rate
+2018,0.6100000000000003
+2019,0.44000000000000017
+2020,-0.41000000000000003
+"
+US,macro,"During 2019–2023, how much did the US Macro Real Rate's maximum value exceed its average? (Unit: %; Use 10-Year Treasury rate as the risk-free rate; use GDP deflator for inflation) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.842,hard,inflation,10-Year Treasury Constant Maturity Rate - GDP Deflator Inflation,"year,10-Year Treasury Constant Maturity Rate (%),GDP Deflator Inflation (%)
+2019,2.14,1.7
+2020,0.89,1.3
+2021,1.45,4.6
+2022,2.95,7.1
+2023,3.96,3.7
+","year,Macro Real Rate
+2019,0.44000000000000017
+2020,-0.41000000000000003
+2021,-3.1499999999999995
+2022,-4.1499999999999995
+2023,0.2599999999999998
+"
+US,macro,"In the period 2020–2022, what was the gap between the highest and average values of the US Macro Real Rate? (Unit: %; Use 10-Year Treasury rate as the risk-free rate; use GDP deflator for inflation) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.16,hard,inflation,10-Year Treasury Constant Maturity Rate - GDP Deflator Inflation,"year,10-Year Treasury Constant Maturity Rate (%),GDP Deflator Inflation (%)
+2020,0.89,1.3
+2021,1.45,4.6
+2022,2.95,7.1
+","year,Macro Real Rate
+2020,-0.41000000000000003
+2021,-3.1499999999999995
+2022,-4.1499999999999995
+"
+US,macro,"For the US Macro Real Rate from 2017 to 2021, calculate the difference between its maximum and average values. (Unit: %; Use 10-Year Treasury rate as the risk-free rate; use GDP deflator for inflation) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.006,hard,inflation,10-Year Treasury Constant Maturity Rate - GDP Deflator Inflation,"year,10-Year Treasury Constant Maturity Rate (%),GDP Deflator Inflation (%)
+2017,2.33,1.8
+2018,2.91,2.3
+2019,2.14,1.7
+2020,0.89,1.3
+2021,1.45,4.6
+","year,Macro Real Rate
+2017,0.53
+2018,0.6100000000000003
+2019,0.44000000000000017
+2020,-0.41000000000000003
+2021,-3.1499999999999995
+"
+US,macro,"What is the difference between the maximum and average values of the US Household Real Rate from 2021 to 2023? (Unit: %; Use 30-Year Fixed Mortgage rate as a proxy for household borrowing cost; use CPI for consumer inflation) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.2599,hard,inflation,30-Year Fixed Rate Mortgage Average - CPI Inflation,"year,30-Year Fixed Rate Mortgage Average (%),CPI Inflation (%)
+2021,2.957692307692308,4.69785886363742
+2022,5.344038461538461,8.00279982052121
+2023,6.806730769230769,4.11633838374488
+","year,Household Real Rate
+2021,-1.7401665559451125
+2022,-2.6587613589827486
+2023,2.6903923854858887
+"
+US,macro,"From 2017 to 2021, what was the difference between the maximum and average values of the US Household Real Rate? (Unit: %; Use 30-Year Fixed Mortgage rate as a proxy for household borrowing cost; use CPI for consumer inflation) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.8789,hard,inflation,30-Year Fixed Rate Mortgage Average - CPI Inflation,"year,30-Year Fixed Rate Mortgage Average (%),CPI Inflation (%)
+2017,3.989807692307693,2.13011000365961
+2018,4.544615384615384,2.44258329692817
+2019,3.935769230769231,1.81221007526021
+2020,3.111698113207547,1.23358439630629
+2021,2.957692307692308,4.69785886363742
+","year,Household Real Rate
+2017,1.8596976886480827
+2018,2.1020320876872143
+2019,2.123559155509021
+2020,1.878113716901257
+2021,-1.7401665559451125
+"
+US,macro,"During 2018–2022, how much did the US Household Real Rate's maximum value exceed its average? (Unit: %; Use 30-Year Fixed Mortgage rate as a proxy for household borrowing cost; use CPI for consumer inflation) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.7826,hard,inflation,30-Year Fixed Rate Mortgage Average - CPI Inflation,"year,30-Year Fixed Rate Mortgage Average (%),CPI Inflation (%)
+2018,4.544615384615384,2.44258329692817
+2019,3.935769230769231,1.81221007526021
+2020,3.111698113207547,1.23358439630629
+2021,2.957692307692308,4.69785886363742
+2022,5.344038461538461,8.00279982052121
+","year,Household Real Rate
+2018,2.1020320876872143
+2019,2.123559155509021
+2020,1.878113716901257
+2021,-1.7401665559451125
+2022,-2.6587613589827486
+"
+US,macro,"In the period 2016–2018, what was the gap between the highest and average values of the US Household Real Rate? (Unit: %; Use 30-Year Fixed Mortgage rate as a proxy for household borrowing cost; use CPI for consumer inflation) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.2744,hard,inflation,30-Year Fixed Rate Mortgage Average - CPI Inflation,"year,30-Year Fixed Rate Mortgage Average (%),CPI Inflation (%)
+2016,3.6540384615384616,1.26158320570536
+2017,3.989807692307693,2.13011000365961
+2018,4.544615384615384,2.44258329692817
+","year,Household Real Rate
+2016,2.3924552558331014
+2017,1.8596976886480827
+2018,2.1020320876872143
+"
+US,macro,"For the US Household Real Rate from 2019 to 2021, calculate the difference between its maximum and average values. (Unit: %; Use 30-Year Fixed Mortgage rate as a proxy for household borrowing cost; use CPI for consumer inflation) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.3697,hard,inflation,30-Year Fixed Rate Mortgage Average - CPI Inflation,"year,30-Year Fixed Rate Mortgage Average (%),CPI Inflation (%)
+2019,3.935769230769231,1.81221007526021
+2020,3.111698113207547,1.23358439630629
+2021,2.957692307692308,4.69785886363742
+","year,Household Real Rate
+2019,2.123559155509021
+2020,1.878113716901257
+2021,-1.7401665559451125
+"
+US,macro,"What is the difference between the maximum and average values of the US Corporate Real Rate from 2017 to 2021? (Unit: %; Use Moody's Baa Corporate Bond Yield as a proxy for corporate borrowing cost; use GDP deflator for inflation) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.8932,hard,inflation,Moody's Seasoned Baa Corporate Bond Yield - GDP Deflator Inflation,"year,Moody's Seasoned Baa Corporate Bond Yield,GDP Deflator Inflation (%)
+2017,4.44,1.8
+2018,4.8,2.3
+2019,4.375,1.7
+2020,3.6025,1.3
+2021,3.391666666666667,4.6
+","year,Corporate Real Rate
+2017,2.6400000000000006
+2018,2.5
+2019,2.675
+2020,2.3025
+2021,-1.2083333333333326
+"
+US,macro,"From 2018 to 2022, what was the difference between the maximum and average values of the US Corporate Real Rate? (Unit: %; Use Moody's Baa Corporate Bond Yield as a proxy for corporate borrowing cost; use GDP deflator for inflation) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.8268,hard,inflation,Moody's Seasoned Baa Corporate Bond Yield - GDP Deflator Inflation,"year,Moody's Seasoned Baa Corporate Bond Yield,GDP Deflator Inflation (%)
+2018,4.8,2.3
+2019,4.375,1.7
+2020,3.6025,1.3
+2021,3.391666666666667,4.6
+2022,5.071666666666666,7.1
+","year,Corporate Real Rate
+2018,2.5
+2019,2.675
+2020,2.3025
+2021,-1.2083333333333326
+2022,-2.0283333333333333
+"
+US,macro,"During 2020–2022, how much did the US Corporate Real Rate's maximum value exceed its average? (Unit: %; Use Moody's Baa Corporate Bond Yield as a proxy for corporate borrowing cost; use GDP deflator for inflation) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.6139,hard,inflation,Moody's Seasoned Baa Corporate Bond Yield - GDP Deflator Inflation,"year,Moody's Seasoned Baa Corporate Bond Yield,GDP Deflator Inflation (%)
+2020,3.6025,1.3
+2021,3.391666666666667,4.6
+2022,5.071666666666666,7.1
+","year,Corporate Real Rate
+2020,2.3025
+2021,-1.2083333333333326
+2022,-2.0283333333333333
+"
+US,macro,"In the period 2020–2024, what was the gap between the highest and average values of the US Corporate Real Rate? (Unit: %; Use Moody's Baa Corporate Bond Yield as a proxy for corporate borrowing cost; use GDP deflator for inflation) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.3573,hard,inflation,Moody's Seasoned Baa Corporate Bond Yield - GDP Deflator Inflation,"year,Moody's Seasoned Baa Corporate Bond Yield,GDP Deflator Inflation (%)
+2020,3.6025,1.3
+2021,3.391666666666667,4.6
+2022,5.071666666666666,7.1
+2023,5.860833333333333,3.7
+2024,5.753333333333333,2.5
+","year,Corporate Real Rate
+2020,2.3025
+2021,-1.2083333333333326
+2022,-2.0283333333333333
+2023,2.1608333333333327
+2024,3.253333333333333
+"
+US,macro,"For the US Corporate Real Rate from 2022 to 2024, calculate the difference between its maximum and average values. (Unit: %; Use Moody's Baa Corporate Bond Yield as a proxy for corporate borrowing cost; use GDP deflator for inflation) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.1247,hard,inflation,Moody's Seasoned Baa Corporate Bond Yield - GDP Deflator Inflation,"year,Moody's Seasoned Baa Corporate Bond Yield,GDP Deflator Inflation (%)
+2022,5.071666666666666,7.1
+2023,5.860833333333333,3.7
+2024,5.753333333333333,2.5
+","year,Corporate Real Rate
+2022,-2.0283333333333333
+2023,2.1608333333333327
+2024,3.253333333333333
+"
+US,macro,"What is the difference between the maximum and average values of the US Real Wage Growth Rate from 2017 to 2021? (Unit: %; Use Average Hourly Earnings as a proxy for wage) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.5452,hard,labor,Average Hourly Earnings Growth Rate - CPI Inflation,"year,Average Hourly Earnings (USD),CPI Inflation (%)
+2016,25.635,1.26158320570536
+2017,26.320833333333336,2.13011000365961
+2018,27.11,2.44258329692817
+2019,27.991666666666664,1.81221007526021
+2020,29.367500000000003,1.23358439630629
+2021,30.58833333333333,4.69785886363742
+","year,Real Wage Growth Rate
+2017,0.545268710338179
+2018,0.5556753701606345
+2019,1.4399723912343143
+2020,3.681568923134034
+2021,-0.5407691102252183
+"
+US,macro,"From 2018 to 2020, what was the difference between the maximum and average values of the US Real Wage Growth Rate? (Unit: %; Use Average Hourly Earnings as a proxy for wage) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.7892,hard,labor,Average Hourly Earnings Growth Rate - CPI Inflation,"year,Average Hourly Earnings (USD),CPI Inflation (%)
+2017,26.320833333333336,2.13011000365961
+2018,27.11,2.44258329692817
+2019,27.991666666666664,1.81221007526021
+2020,29.367500000000003,1.23358439630629
+","year,Real Wage Growth Rate
+2018,0.5556753701606345
+2019,1.4399723912343143
+2020,3.681568923134034
+"
+US,macro,"During 2021–2023, how much did the US Real Wage Growth Rate's maximum value exceed its average? (Unit: %; Use Average Hourly Earnings as a proxy for wage) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.305,hard,labor,Average Hourly Earnings Growth Rate - CPI Inflation,"year,Average Hourly Earnings (USD),CPI Inflation (%)
+2020,29.367500000000003,1.23358439630629
+2021,30.58833333333333,4.69785886363742
+2022,32.255,8.00279982052121
+2023,33.715,4.11633838374488
+","year,Real Wage Growth Rate
+2021,-0.5407691102252183
+2022,-2.554099335586855
+2023,0.41009162710614344
+"
+US,macro,"In the period 2017–2019, what was the gap between the highest and average values of the US Real Wage Growth Rate? (Unit: %; Use Average Hourly Earnings as a proxy for wage) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.593,hard,labor,Average Hourly Earnings Growth Rate - CPI Inflation,"year,Average Hourly Earnings (USD),CPI Inflation (%)
+2016,25.635,1.26158320570536
+2017,26.320833333333336,2.13011000365961
+2018,27.11,2.44258329692817
+2019,27.991666666666664,1.81221007526021
+","year,Real Wage Growth Rate
+2017,0.545268710338179
+2018,0.5556753701606345
+2019,1.4399723912343143
+"
+US,macro,"For the US Real Wage Growth Rate from 2018 to 2022, calculate the difference between its maximum and average values. (Unit: %; Use Average Hourly Earnings as a proxy for wage) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.1651,hard,labor,Average Hourly Earnings Growth Rate - CPI Inflation,"year,Average Hourly Earnings (USD),CPI Inflation (%)
+2017,26.320833333333336,2.13011000365961
+2018,27.11,2.44258329692817
+2019,27.991666666666664,1.81221007526021
+2020,29.367500000000003,1.23358439630629
+2021,30.58833333333333,4.69785886363742
+2022,32.255,8.00279982052121
+","year,Real Wage Growth Rate
+2018,0.5556753701606345
+2019,1.4399723912343143
+2020,3.681568923134034
+2021,-0.5407691102252183
+2022,-2.554099335586855
+"
+US,macro,"What is the average of Incremental Capital Output Ratio in the US from 2018 to 2022? (Use BEA real investment and real GDP (chained 2017 dollars).) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.205,medium,productivity,ICOR = \Delta K / \Delta Y = Real Gross Private Domestic Investment / change in GDP,"year,Real Gross Private Domestic Investment (Billion USD),Real GDP (Billion USD)
+2017,3467.664,19612.102
+2018,3668.081,20193.896
+2019,3783.988,20715.671
+2020,3618.559,20284.5
+2021,3944.358,21532.407
+2022,4184.911,22075.931
+","year,Incremental Capital Output Ratio
+2018,6.30477626101333
+2019,7.252145081692331
+2020,-8.392398839439602
+2021,3.1607788080361776
+2022,7.699588242653481
+"
+US,macro,"From 2023 to 2025, what is the minimum of the US Incremental Capital Output Ratio? (Use BEA real investment and real GDP (chained 2017 dollars).) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",6.5137,medium,productivity,ICOR = \Delta K / \Delta Y = Real Gross Private Domestic Investment / change in GDP,"year,Real Gross Private Domestic Investment (Billion USD),Real GDP (Billion USD)
+2022,4184.911,22075.931
+2023,4219.497,22723.719
+2024,4346.493,23358.435
+2025,4430.563,23850.442
+","year,Incremental Capital Output Ratio
+2023,6.5137004699068175
+2024,6.84793356398767
+2025,9.005081228519147
+"
+US,macro,"What was the minimum of Incremental Capital Output Ratio in the US during 2021–2025? (Use BEA real investment and real GDP (chained 2017 dollars).) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.1608,medium,productivity,ICOR = \Delta K / \Delta Y = Real Gross Private Domestic Investment / change in GDP,"year,Real Gross Private Domestic Investment (Billion USD),Real GDP (Billion USD)
+2020,3618.559,20284.5
+2021,3944.358,21532.407
+2022,4184.911,22075.931
+2023,4219.497,22723.719
+2024,4346.493,23358.435
+2025,4430.563,23850.442
+","year,Incremental Capital Output Ratio
+2021,3.1607788080361776
+2022,7.699588242653481
+2023,6.5137004699068175
+2024,6.84793356398767
+2025,9.005081228519147
+"
+US,macro,"For US Incremental Capital Output Ratio, what is the minimum over 2018 to 2020? (Use BEA real investment and real GDP (chained 2017 dollars).) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-8.3924,medium,productivity,ICOR = \Delta K / \Delta Y = Real Gross Private Domestic Investment / change in GDP,"year,Real Gross Private Domestic Investment (Billion USD),Real GDP (Billion USD)
+2017,3467.664,19612.102
+2018,3668.081,20193.896
+2019,3783.988,20715.671
+2020,3618.559,20284.5
+","year,Incremental Capital Output Ratio
+2018,6.30477626101333
+2019,7.252145081692331
+2020,-8.392398839439602
+"
+US,macro,"Calculate the average of the US Incremental Capital Output Ratio from 2017 to 2019. (Use BEA real investment and real GDP (chained 2017 dollars).) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",6.9761,medium,productivity,ICOR = \Delta K / \Delta Y = Real Gross Private Domestic Investment / change in GDP,"year,Real Gross Private Domestic Investment (Billion USD),Real GDP (Billion USD)
+2016,3320.238,19141.672
+2017,3467.664,19612.102
+2018,3668.081,20193.896
+2019,3783.988,20715.671
+","year,Incremental Capital Output Ratio
+2017,7.371264587717616
+2018,6.30477626101333
+2019,7.252145081692331
+"
+US,macro,"What is the maximum of Total Factor Productivity Growth in the US from 2017 to 2019? (Unit: %; \Delta K is set to a constant 6%) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-0.6503,medium,productivity,TFP Growth = (\Delta Y - \alpha \Delta K - \beta \Delta L) * 100%; \alpha = 1 - \beta; \beta = Compensation of Employees / GDP,"year,Nominal GDP (Billion USD),Real GDP Growth Rate (%),Total Employees (Thousand),Compensation of Employees (Billion USD)
+2016,18804.913,1.8,144335.08333333334,9966.108
+2017,19612.102,2.5,146606.41666666666,10424.372
+2018,20656.516,3.0,148908.75,10957.404
+2019,21539.982,2.6,150904.66666666666,11446.611
+","year,Total Factor Productivity Growth
+2017,-1.1472747293402137
+2018,-0.6502948903389778
+2019,-0.923811265684706
+"
+US,macro,"From 2021 to 2025, what is the minimum of the US Total Factor Productivity Growth? (Unit: %; \Delta K is set to a constant 6%) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-2.6035,medium,productivity,TFP Growth = (\Delta Y - \alpha \Delta K - \beta \Delta L) * 100%; \alpha = 1 - \beta; \beta = Compensation of Employees / GDP,"year,Nominal GDP (Billion USD),Real GDP Growth Rate (%),Total Employees (Thousand),Compensation of Employees (Billion USD)
+2020,21375.281,-2.1,142185.91666666666,11598.138
+2021,23725.645,6.2,146284.83333333334,12558.374
+2022,26054.614,2.5,152520.25,13443.377
+2023,27811.517,2.9,155867.58333333334,14207.393
+2024,29298.013,2.8,157693.16666666666,15027.059
+2025,30762.099,2.1,158456.83333333334,15745.135
+","year,Total Factor Productivity Growth
+2021,1.849992264020304
+2022,-2.6035126501669303
+2023,-1.1560693998444846
+2024,-0.7233111248846524
+2025,-1.0768553933665608
+"
+US,macro,"What was the minimum of Total Factor Productivity Growth in the US during 2023–2025? (Unit: %; \Delta K is set to a constant 6%) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-1.1561,medium,productivity,TFP Growth = (\Delta Y - \alpha \Delta K - \beta \Delta L) * 100%; \alpha = 1 - \beta; \beta = Compensation of Employees / GDP,"year,Nominal GDP (Billion USD),Real GDP Growth Rate (%),Total Employees (Thousand),Compensation of Employees (Billion USD)
+2022,26054.614,2.5,152520.25,13443.377
+2023,27811.517,2.9,155867.58333333334,14207.393
+2024,29298.013,2.8,157693.16666666666,15027.059
+2025,30762.099,2.1,158456.83333333334,15745.135
+","year,Total Factor Productivity Growth
+2023,-1.1560693998444846
+2024,-0.7233111248846524
+2025,-1.0768553933665608
+"
+US,macro,"For US Total Factor Productivity Growth, what is the average over 2017 to 2021? (Unit: %; \Delta K is set to a constant 6%) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-0.5162,medium,productivity,TFP Growth = (\Delta Y - \alpha \Delta K - \beta \Delta L) * 100%; \alpha = 1 - \beta; \beta = Compensation of Employees / GDP,"year,Nominal GDP (Billion USD),Real GDP Growth Rate (%),Total Employees (Thousand),Compensation of Employees (Billion USD)
+2016,18804.913,1.8,144335.08333333334,9966.108
+2017,19612.102,2.5,146606.41666666666,10424.372
+2018,20656.516,3.0,148908.75,10957.404
+2019,21539.982,2.6,150904.66666666666,11446.611
+2020,21375.281,-2.1,142185.91666666666,11598.138
+2021,23725.645,6.2,146284.83333333334,12558.374
+","year,Total Factor Productivity Growth
+2017,-1.1472747293402137
+2018,-0.6502948903389778
+2019,-0.923811265684706
+2020,-1.7094940611358016
+2021,1.849992264020304
+"
+US,macro,"Calculate the minimum of the US Total Factor Productivity Growth from 2019 to 2023. (Unit: %; \Delta K is set to a constant 6%) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-2.6035,medium,productivity,TFP Growth = (\Delta Y - \alpha \Delta K - \beta \Delta L) * 100%; \alpha = 1 - \beta; \beta = Compensation of Employees / GDP,"year,Nominal GDP (Billion USD),Real GDP Growth Rate (%),Total Employees (Thousand),Compensation of Employees (Billion USD)
+2018,20656.516,3.0,148908.75,10957.404
+2019,21539.982,2.6,150904.66666666666,11446.611
+2020,21375.281,-2.1,142185.91666666666,11598.138
+2021,23725.645,6.2,146284.83333333334,12558.374
+2022,26054.614,2.5,152520.25,13443.377
+2023,27811.517,2.9,155867.58333333334,14207.393
+","year,Total Factor Productivity Growth
+2019,-0.923811265684706
+2020,-1.7094940611358016
+2021,1.849992264020304
+2022,-2.6035126501669303
+2023,-1.1560693998444846
+"
+US,macro,"What is the maximum of Trade Openness in the US from 2016 to 2020? (Unit: %) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",27.4454,medium,external trade,(Exports + Imports) / GDP * 100%,"year,Exports of Goods and Services (Billion USD),Imports of Goods and Services (Billion USD),Nominal GDP (Billion USD)
+2016,2235.558,2738.83,18804.913
+2017,2388.26,2931.589,19612.102
+2018,2538.089,3131.166,20656.516
+2019,2539.391,3116.681,21539.982
+2020,2163.837,2782.391,21375.281
+","year,Trade Openness
+2016,26.452597786546526
+2017,27.125338222287443
+2018,27.445359130261853
+2019,26.25848062454277
+2020,23.139943750914902
+"
+US,macro,"From 2019 to 2021, what is the average of the US Trade Openness? (Unit: %) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",24.8771,medium,external trade,(Exports + Imports) / GDP * 100%,"year,Exports of Goods and Services (Billion USD),Imports of Goods and Services (Billion USD),Nominal GDP (Billion USD)
+2019,2539.391,3116.681,21539.982
+2020,2163.837,2782.391,21375.281
+2021,2568.697,3417.93,23725.645
+","year,Trade Openness
+2019,26.25848062454277
+2020,23.139943750914902
+2021,25.232726022833102
+"
+US,macro,"What was the average of Trade Openness in the US during 2018–2020? (Unit: %) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",25.6146,medium,external trade,(Exports + Imports) / GDP * 100%,"year,Exports of Goods and Services (Billion USD),Imports of Goods and Services (Billion USD),Nominal GDP (Billion USD)
+2018,2538.089,3131.166,20656.516
+2019,2539.391,3116.681,21539.982
+2020,2163.837,2782.391,21375.281
+","year,Trade Openness
+2018,27.445359130261853
+2019,26.25848062454277
+2020,23.139943750914902
+"
+US,macro,"For US Trade Openness, what is the average over 2019 to 2023? (Unit: %) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",25.2937,medium,external trade,(Exports + Imports) / GDP * 100%,"year,Exports of Goods and Services (Billion USD),Imports of Goods and Services (Billion USD),Nominal GDP (Billion USD)
+2019,2539.391,3116.681,21539.982
+2020,2163.837,2782.391,21375.281
+2021,2568.697,3417.93,23725.645
+2022,3036.43,3974.319,26054.614
+2023,3073.36,3859.856,27811.517
+","year,Trade Openness
+2019,26.25848062454277
+2020,23.139943750914902
+2021,25.232726022833102
+2022,26.907898155773868
+2023,24.92929817528472
+"
+US,macro,"Calculate the minimum of the US Trade Openness from 2018 to 2022. (Unit: %) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",23.1399,medium,external trade,(Exports + Imports) / GDP * 100%,"year,Exports of Goods and Services (Billion USD),Imports of Goods and Services (Billion USD),Nominal GDP (Billion USD)
+2018,2538.089,3131.166,20656.516
+2019,2539.391,3116.681,21539.982
+2020,2163.837,2782.391,21375.281
+2021,2568.697,3417.93,23725.645
+2022,3036.43,3974.319,26054.614
+","year,Trade Openness
+2018,27.445359130261853
+2019,26.25848062454277
+2020,23.139943750914902
+2021,25.232726022833102
+2022,26.907898155773868
+"
+US,macro,"What is the maximum of Federal Debt to GDP in the US from 2019 to 2021? (Unit: %) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",98.3225,medium,fiscal,Federal Debt Held by the Public / GDP * 100%,"year,Gross Federal Debt Held by the Public (Billion USD),Nominal GDP (Billion USD)
+2019,16800.7,21539.982
+2020,21016.7,21375.281
+2021,22284.0,23725.645
+","year,Federal Debt to GDP
+2019,77.99774391640625
+2020,98.32245012357967
+2021,93.9236846880243
+"
+US,macro,"From 2020 to 2022, what is the average of the US Federal Debt to GDP? (Unit: %) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",95.111,medium,fiscal,Federal Debt Held by the Public / GDP * 100%,"year,Gross Federal Debt Held by the Public (Billion USD),Nominal GDP (Billion USD)
+2020,21016.7,21375.281
+2021,22284.0,23725.645
+2022,24253.4,26054.614
+","year,Federal Debt to GDP
+2020,98.32245012357967
+2021,93.9236846880243
+2022,93.08677534044449
+"
+US,macro,"What was the average of Federal Debt to GDP in the US during 2019–2023? (Unit: %) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",91.5328,medium,fiscal,Federal Debt Held by the Public / GDP * 100%,"year,Gross Federal Debt Held by the Public (Billion USD),Nominal GDP (Billion USD)
+2019,16800.7,21539.982
+2020,21016.7,21375.281
+2021,22284.0,23725.645
+2022,24253.4,26054.614
+2023,26235.6,27811.517
+","year,Federal Debt to GDP
+2019,77.99774391640625
+2020,98.32245012357967
+2021,93.9236846880243
+2022,93.08677534044449
+2023,94.33358130014986
+"
+US,macro,"For US Federal Debt to GDP, what is the maximum over 2023 to 2025? (Unit: %) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",98.0661,medium,fiscal,Federal Debt Held by the Public / GDP * 100%,"year,Gross Federal Debt Held by the Public (Billion USD),Nominal GDP (Billion USD)
+2023,26235.6,27811.517
+2024,28193.9,29298.013
+2025,30167.2,30762.099
+","year,Federal Debt to GDP
+2023,94.33358130014986
+2024,96.23144067824668
+2025,98.0661300127797
+"
+US,macro,"Calculate the minimum of the US Federal Debt to GDP from 2018 to 2022. (Unit: %) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",76.2452,medium,fiscal,Federal Debt Held by the Public / GDP * 100%,"year,Gross Federal Debt Held by the Public (Billion USD),Nominal GDP (Billion USD)
+2018,15749.6,20656.516
+2019,16800.7,21539.982
+2020,21016.7,21375.281
+2021,22284.0,23725.645
+2022,24253.4,26054.614
+","year,Federal Debt to GDP
+2018,76.24519062169051
+2019,77.99774391640625
+2020,98.32245012357967
+2021,93.9236846880243
+2022,93.08677534044449
+"
+US,macro,"What is the minimum of Fiscal Deficit Ratio in the US from 2022 to 2024? (Unit: %) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",5.2742,medium,fiscal,Federal Deficit / GDP * 100%; Federal Deficit = Federal Outlays - Federal Receipts,"year,Federal Outlays (Billion USD),Federal Receipts (Billion USD),Nominal GDP (Billion USD)
+2022,6271.51,4897.339,26054.614
+2023,6128.415,4440.948,27811.517
+2024,6735.261,4919.884,29298.013
+","year,Fiscal Deficit Ratio
+2022,5.27419442867202
+2023,6.06751152768833
+2024,6.196246141333886
+"
+US,macro,"From 2020 to 2022, what is the average of the US Fiscal Deficit Ratio? (Unit: %) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",10.4823,medium,fiscal,Federal Deficit / GDP * 100%; Federal Deficit = Federal Outlays - Federal Receipts,"year,Federal Outlays (Billion USD),Federal Receipts (Billion USD),Nominal GDP (Billion USD)
+2020,6516.817,3421.164,21375.281
+2021,6820.705,4047.111,23725.645
+2022,6271.51,4897.339,26054.614
+","year,Fiscal Deficit Ratio
+2020,14.482396746035759
+2021,11.690278599380544
+2022,5.27419442867202
+"
+US,macro,"What was the average of Fiscal Deficit Ratio in the US during 2023–2025? (Unit: %) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",6.0109,medium,fiscal,Federal Deficit / GDP * 100%; Federal Deficit = Federal Outlays - Federal Receipts,"year,Federal Outlays (Billion USD),Federal Receipts (Billion USD),Nominal GDP (Billion USD)
+2023,6128.415,4440.948,27811.517
+2024,6735.261,4919.884,29298.013
+2025,7011.1050000000005,5236.421,30762.099
+","year,Fiscal Deficit Ratio
+2023,6.06751152768833
+2024,6.196246141333886
+2025,5.7690601671882025
+"
+US,macro,"For US Fiscal Deficit Ratio, what is the minimum over 2016 to 2020? (Unit: %) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.109,medium,fiscal,Federal Deficit / GDP * 100%; Federal Deficit = Federal Outlays - Federal Receipts,"year,Federal Outlays (Billion USD),Federal Receipts (Billion USD),Nominal GDP (Billion USD)
+2016,3852.615,3267.965,18804.913
+2017,3981.634,3316.184,19612.102
+2018,4108.981,3329.907,20656.516
+2019,4446.952,3463.364,21539.982
+2020,6516.817,3421.164,21375.281
+","year,Fiscal Deficit Ratio
+2016,3.1090279439208235
+2017,3.39305802101172
+2018,3.7715653501297104
+2019,4.566336220708077
+2020,14.482396746035759
+"
+US,macro,"Calculate the minimum of the US Fiscal Deficit Ratio from 2016 to 2018. (Unit: %) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.109,medium,fiscal,Federal Deficit / GDP * 100%; Federal Deficit = Federal Outlays - Federal Receipts,"year,Federal Outlays (Billion USD),Federal Receipts (Billion USD),Nominal GDP (Billion USD)
+2016,3852.615,3267.965,18804.913
+2017,3981.634,3316.184,19612.102
+2018,4108.981,3329.907,20656.516
+","year,Fiscal Deficit Ratio
+2016,3.1090279439208235
+2017,3.39305802101172
+2018,3.7715653501297104
+"
+US,macro,"What is the maximum of Federal Tax Burden in the US from 2019 to 2021? (Unit: %) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",11.275,medium,fiscal,Federal Tax Receipts / GDP * 100%,"year,Federal Tax Receipts (Billion USD),Nominal GDP (Billion USD)
+2019,2112.971,21539.982
+2020,2149.223,21375.281
+2021,2675.072,23725.645
+","year,Federal Tax Burden
+2019,9.809530017248854
+2020,10.05471226319785
+2021,11.2750232923067
+"
+US,macro,"From 2022 to 2024, what is the maximum of the US Federal Tax Burden? (Unit: %) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",12.485,medium,fiscal,Federal Tax Receipts / GDP * 100%,"year,Federal Tax Receipts (Billion USD),Nominal GDP (Billion USD)
+2022,3252.924,26054.614
+2023,2918.06,27811.517
+2024,3118.885,29298.013
+","year,Federal Tax Burden
+2022,12.485020887279312
+2023,10.492271960569429
+2024,10.645380627007027
+"
+US,macro,"What was the minimum of Federal Tax Burden in the US during 2020–2022? (Unit: %) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",10.0547,medium,fiscal,Federal Tax Receipts / GDP * 100%,"year,Federal Tax Receipts (Billion USD),Nominal GDP (Billion USD)
+2020,2149.223,21375.281
+2021,2675.072,23725.645
+2022,3252.924,26054.614
+","year,Federal Tax Burden
+2020,10.05471226319785
+2021,11.2750232923067
+2022,12.485020887279312
+"
+US,macro,"For US Federal Tax Burden, what is the maximum over 2016 to 2018? (Unit: %) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",10.7479,medium,fiscal,Federal Tax Receipts / GDP * 100%,"year,Federal Tax Receipts (Billion USD),Nominal GDP (Billion USD)
+2016,2021.131,18804.913
+2017,1999.804,19612.102
+2018,2028.439,20656.516
+","year,Federal Tax Burden
+2016,10.747888065209342
+2017,10.196785637765906
+2018,9.819850549821664
+"
+US,macro,"Calculate the average of the US Federal Tax Burden from 2021 to 2023. (Unit: %) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",11.4174,medium,fiscal,Federal Tax Receipts / GDP * 100%,"year,Federal Tax Receipts (Billion USD),Nominal GDP (Billion USD)
+2021,2675.072,23725.645
+2022,3252.924,26054.614
+2023,2918.06,27811.517
+","year,Federal Tax Burden
+2021,11.2750232923067
+2022,12.485020887279312
+2023,10.492271960569429
+"
+US,macro,"What is the minimum of Macro Real Rate in the US from 2020 to 2022? (Unit: %; Use 10-Year Treasury rate as the risk-free rate; use GDP deflator for inflation) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-4.15,medium,inflation,10-Year Treasury Constant Maturity Rate - GDP Deflator Inflation,"year,10-Year Treasury Constant Maturity Rate (%),GDP Deflator Inflation (%)
+2020,0.89,1.3
+2021,1.45,4.6
+2022,2.95,7.1
+","year,Macro Real Rate
+2020,-0.41000000000000003
+2021,-3.1499999999999995
+2022,-4.1499999999999995
+"
+US,macro,"From 2021 to 2023, what is the average of the US Macro Real Rate? (Unit: %; Use 10-Year Treasury rate as the risk-free rate; use GDP deflator for inflation) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-2.3467,medium,inflation,10-Year Treasury Constant Maturity Rate - GDP Deflator Inflation,"year,10-Year Treasury Constant Maturity Rate (%),GDP Deflator Inflation (%)
+2021,1.45,4.6
+2022,2.95,7.1
+2023,3.96,3.7
+","year,Macro Real Rate
+2021,-3.1499999999999995
+2022,-4.1499999999999995
+2023,0.2599999999999998
+"
+US,macro,"What was the average of Macro Real Rate in the US during 2016–2018? (Unit: %; Use 10-Year Treasury rate as the risk-free rate; use GDP deflator for inflation) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.66,medium,inflation,10-Year Treasury Constant Maturity Rate - GDP Deflator Inflation,"year,10-Year Treasury Constant Maturity Rate (%),GDP Deflator Inflation (%)
+2016,1.84,1.0
+2017,2.33,1.8
+2018,2.91,2.3
+","year,Macro Real Rate
+2016,0.8400000000000001
+2017,0.53
+2018,0.6100000000000003
+"
+US,macro,"For US Macro Real Rate, what is the maximum over 2018 to 2022? (Unit: %; Use 10-Year Treasury rate as the risk-free rate; use GDP deflator for inflation) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.61,medium,inflation,10-Year Treasury Constant Maturity Rate - GDP Deflator Inflation,"year,10-Year Treasury Constant Maturity Rate (%),GDP Deflator Inflation (%)
+2018,2.91,2.3
+2019,2.14,1.7
+2020,0.89,1.3
+2021,1.45,4.6
+2022,2.95,7.1
+","year,Macro Real Rate
+2018,0.6100000000000003
+2019,0.44000000000000017
+2020,-0.41000000000000003
+2021,-3.1499999999999995
+2022,-4.1499999999999995
+"
+US,macro,"Calculate the minimum of the US Macro Real Rate from 2017 to 2021. (Unit: %; Use 10-Year Treasury rate as the risk-free rate; use GDP deflator for inflation) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-3.15,medium,inflation,10-Year Treasury Constant Maturity Rate - GDP Deflator Inflation,"year,10-Year Treasury Constant Maturity Rate (%),GDP Deflator Inflation (%)
+2017,2.33,1.8
+2018,2.91,2.3
+2019,2.14,1.7
+2020,0.89,1.3
+2021,1.45,4.6
+","year,Macro Real Rate
+2017,0.53
+2018,0.6100000000000003
+2019,0.44000000000000017
+2020,-0.41000000000000003
+2021,-3.1499999999999995
+"
+US,macro,"What is the maximum of Household Real Rate in the US from 2020 to 2022? (Unit: %; Use 30-Year Fixed Mortgage rate as a proxy for household borrowing cost; use CPI for consumer inflation) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.8781,medium,inflation,30-Year Fixed Rate Mortgage Average - CPI Inflation,"year,30-Year Fixed Rate Mortgage Average (%),CPI Inflation (%)
+2020,3.111698113207547,1.23358439630629
+2021,2.957692307692308,4.69785886363742
+2022,5.344038461538461,8.00279982052121
+","year,Household Real Rate
+2020,1.878113716901257
+2021,-1.7401665559451125
+2022,-2.6587613589827486
+"
+US,macro,"From 2019 to 2023, what is the maximum of the US Household Real Rate? (Unit: %; Use 30-Year Fixed Mortgage rate as a proxy for household borrowing cost; use CPI for consumer inflation) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.6904,medium,inflation,30-Year Fixed Rate Mortgage Average - CPI Inflation,"year,30-Year Fixed Rate Mortgage Average (%),CPI Inflation (%)
+2019,3.935769230769231,1.81221007526021
+2020,3.111698113207547,1.23358439630629
+2021,2.957692307692308,4.69785886363742
+2022,5.344038461538461,8.00279982052121
+2023,6.806730769230769,4.11633838374488
+","year,Household Real Rate
+2019,2.123559155509021
+2020,1.878113716901257
+2021,-1.7401665559451125
+2022,-2.6587613589827486
+2023,2.6903923854858887
+"
+US,macro,"What was the minimum of Household Real Rate in the US during 2021–2023? (Unit: %; Use 30-Year Fixed Mortgage rate as a proxy for household borrowing cost; use CPI for consumer inflation) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-2.6588,medium,inflation,30-Year Fixed Rate Mortgage Average - CPI Inflation,"year,30-Year Fixed Rate Mortgage Average (%),CPI Inflation (%)
+2021,2.957692307692308,4.69785886363742
+2022,5.344038461538461,8.00279982052121
+2023,6.806730769230769,4.11633838374488
+","year,Household Real Rate
+2021,-1.7401665559451125
+2022,-2.6587613589827486
+2023,2.6903923854858887
+"
+US,macro,"For US Household Real Rate, what is the maximum over 2016 to 2020? (Unit: %; Use 30-Year Fixed Mortgage rate as a proxy for household borrowing cost; use CPI for consumer inflation) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.3925,medium,inflation,30-Year Fixed Rate Mortgage Average - CPI Inflation,"year,30-Year Fixed Rate Mortgage Average (%),CPI Inflation (%)
+2016,3.6540384615384616,1.26158320570536
+2017,3.989807692307693,2.13011000365961
+2018,4.544615384615384,2.44258329692817
+2019,3.935769230769231,1.81221007526021
+2020,3.111698113207547,1.23358439630629
+","year,Household Real Rate
+2016,2.3924552558331014
+2017,1.8596976886480827
+2018,2.1020320876872143
+2019,2.123559155509021
+2020,1.878113716901257
+"
+US,macro,"Calculate the maximum of the US Household Real Rate from 2018 to 2022. (Unit: %; Use 30-Year Fixed Mortgage rate as a proxy for household borrowing cost; use CPI for consumer inflation) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.1236,medium,inflation,30-Year Fixed Rate Mortgage Average - CPI Inflation,"year,30-Year Fixed Rate Mortgage Average (%),CPI Inflation (%)
+2018,4.544615384615384,2.44258329692817
+2019,3.935769230769231,1.81221007526021
+2020,3.111698113207547,1.23358439630629
+2021,2.957692307692308,4.69785886363742
+2022,5.344038461538461,8.00279982052121
+","year,Household Real Rate
+2018,2.1020320876872143
+2019,2.123559155509021
+2020,1.878113716901257
+2021,-1.7401665559451125
+2022,-2.6587613589827486
+"
+US,macro,"What is the minimum of Corporate Real Rate in the US from 2016 to 2018? (Unit: %; Use Moody's Baa Corporate Bond Yield as a proxy for corporate borrowing cost; use GDP deflator for inflation) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.5,medium,inflation,Moody's Seasoned Baa Corporate Bond Yield - GDP Deflator Inflation,"year,Moody's Seasoned Baa Corporate Bond Yield,GDP Deflator Inflation (%)
+2016,4.7175,1.0
+2017,4.44,1.8
+2018,4.8,2.3
+","year,Corporate Real Rate
+2016,3.7175000000000002
+2017,2.6400000000000006
+2018,2.5
+"
+US,macro,"From 2017 to 2019, what is the maximum of the US Corporate Real Rate? (Unit: %; Use Moody's Baa Corporate Bond Yield as a proxy for corporate borrowing cost; use GDP deflator for inflation) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.675,medium,inflation,Moody's Seasoned Baa Corporate Bond Yield - GDP Deflator Inflation,"year,Moody's Seasoned Baa Corporate Bond Yield,GDP Deflator Inflation (%)
+2017,4.44,1.8
+2018,4.8,2.3
+2019,4.375,1.7
+","year,Corporate Real Rate
+2017,2.6400000000000006
+2018,2.5
+2019,2.675
+"
+US,macro,"What was the minimum of Corporate Real Rate in the US during 2019–2023? (Unit: %; Use Moody's Baa Corporate Bond Yield as a proxy for corporate borrowing cost; use GDP deflator for inflation) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-2.0283,medium,inflation,Moody's Seasoned Baa Corporate Bond Yield - GDP Deflator Inflation,"year,Moody's Seasoned Baa Corporate Bond Yield,GDP Deflator Inflation (%)
+2019,4.375,1.7
+2020,3.6025,1.3
+2021,3.391666666666667,4.6
+2022,5.071666666666666,7.1
+2023,5.860833333333333,3.7
+","year,Corporate Real Rate
+2019,2.675
+2020,2.3025
+2021,-1.2083333333333326
+2022,-2.0283333333333333
+2023,2.1608333333333327
+"
+US,macro,"For US Corporate Real Rate, what is the maximum over 2016 to 2020? (Unit: %; Use Moody's Baa Corporate Bond Yield as a proxy for corporate borrowing cost; use GDP deflator for inflation) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.7175,medium,inflation,Moody's Seasoned Baa Corporate Bond Yield - GDP Deflator Inflation,"year,Moody's Seasoned Baa Corporate Bond Yield,GDP Deflator Inflation (%)
+2016,4.7175,1.0
+2017,4.44,1.8
+2018,4.8,2.3
+2019,4.375,1.7
+2020,3.6025,1.3
+","year,Corporate Real Rate
+2016,3.7175000000000002
+2017,2.6400000000000006
+2018,2.5
+2019,2.675
+2020,2.3025
+"
+US,macro,"Calculate the minimum of the US Corporate Real Rate from 2021 to 2025. (Unit: %; Use Moody's Baa Corporate Bond Yield as a proxy for corporate borrowing cost; use GDP deflator for inflation) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-2.0283,medium,inflation,Moody's Seasoned Baa Corporate Bond Yield - GDP Deflator Inflation,"year,Moody's Seasoned Baa Corporate Bond Yield,GDP Deflator Inflation (%)
+2021,3.391666666666667,4.6
+2022,5.071666666666666,7.1
+2023,5.860833333333333,3.7
+2024,5.753333333333333,2.5
+2025,5.998333333333334,2.8
+","year,Corporate Real Rate
+2021,-1.2083333333333326
+2022,-2.0283333333333333
+2023,2.1608333333333327
+2024,3.253333333333333
+2025,3.198333333333334
+"
+US,macro,"What is the maximum of Real Wage Growth Rate in the US from 2019 to 2021? (Unit: %; Use Average Hourly Earnings as a proxy for wage) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.6816,medium,labor,Average Hourly Earnings Growth Rate - CPI Inflation,"year,Average Hourly Earnings (USD),CPI Inflation (%)
+2018,27.11,2.44258329692817
+2019,27.991666666666664,1.81221007526021
+2020,29.367500000000003,1.23358439630629
+2021,30.58833333333333,4.69785886363742
+","year,Real Wage Growth Rate
+2019,1.4399723912343143
+2020,3.681568923134034
+2021,-0.5407691102252183
+"
+US,macro,"From 2022 to 2024, what is the minimum of the US Real Wage Growth Rate? (Unit: %; Use Average Hourly Earnings as a proxy for wage) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-2.5541,medium,labor,Average Hourly Earnings Growth Rate - CPI Inflation,"year,Average Hourly Earnings (USD),CPI Inflation (%)
+2021,30.58833333333333,4.69785886363742
+2022,32.255,8.00279982052121
+2023,33.715,4.11633838374488
+2024,35.053333333333335,2.94952520485207
+","year,Real Wage Growth Rate
+2022,-2.554099335586855
+2023,0.41009162710614344
+2024,1.020023462902138
+"
+US,macro,"What was the average of Real Wage Growth Rate in the US during 2020–2022? (Unit: %; Use Average Hourly Earnings as a proxy for wage) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.1956,medium,labor,Average Hourly Earnings Growth Rate - CPI Inflation,"year,Average Hourly Earnings (USD),CPI Inflation (%)
+2019,27.991666666666664,1.81221007526021
+2020,29.367500000000003,1.23358439630629
+2021,30.58833333333333,4.69785886363742
+2022,32.255,8.00279982052121
+","year,Real Wage Growth Rate
+2020,3.681568923134034
+2021,-0.5407691102252183
+2022,-2.554099335586855
+"
+US,macro,"For US Real Wage Growth Rate, what is the average over 2019 to 2023? (Unit: %; Use Average Hourly Earnings as a proxy for wage) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.4874,medium,labor,Average Hourly Earnings Growth Rate - CPI Inflation,"year,Average Hourly Earnings (USD),CPI Inflation (%)
+2018,27.11,2.44258329692817
+2019,27.991666666666664,1.81221007526021
+2020,29.367500000000003,1.23358439630629
+2021,30.58833333333333,4.69785886363742
+2022,32.255,8.00279982052121
+2023,33.715,4.11633838374488
+","year,Real Wage Growth Rate
+2019,1.4399723912343143
+2020,3.681568923134034
+2021,-0.5407691102252183
+2022,-2.554099335586855
+2023,0.41009162710614344
+"
+US,macro,"Calculate the maximum of the US Real Wage Growth Rate from 2017 to 2019. (Unit: %; Use Average Hourly Earnings as a proxy for wage) Write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.44,medium,labor,Average Hourly Earnings Growth Rate - CPI Inflation,"year,Average Hourly Earnings (USD),CPI Inflation (%)
+2016,25.635,1.26158320570536
+2017,26.320833333333336,2.13011000365961
+2018,27.11,2.44258329692817
+2019,27.991666666666664,1.81221007526021
+","year,Real Wage Growth Rate
+2017,0.545268710338179
+2018,0.5556753701606345
+2019,1.4399723912343143
+"
+US,technical,"What is the lower channel value of Bollinger Bands for Lennar on May 11, 2020? (Standard parameters: middle band SMA(20), band width multiplier 2, use population standard deviation) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",35.2958,easy,channel,Middle = SMA_n(P); Upper = Middle + 2 * \sigma_n(P); Lower = Middle - 2 * \sigma_n(P),"date,close
+2020-04-14,41.64569091796875
+2020-04-15,38.54792022705078
+2020-04-16,39.59341812133789
+2020-04-17,41.55856704711914
+2020-04-20,38.70280838012695
+2020-04-21,38.86737823486328
+2020-04-22,39.74830627441406
+2020-04-23,39.93223571777344
+2020-04-24,41.51016616821289
+2020-04-27,43.91093826293945
+2020-04-28,47.93804550170898
+2020-04-29,51.539207458496094
+2020-04-30,48.47047424316406
+2020-05-01,47.87995910644531
+2020-05-04,47.84123992919922
+2020-05-05,49.47724914550781
+2020-05-06,49.43852996826172
+2020-05-07,49.21587753295898
+2020-05-08,52.28460693359375
+2020-05-11,51.3068733215332
+",
+US,technical,"On February 05, 2021, what is the Bollinger Bands upper channel value for Allstate? (Standard parameters: middle band SMA(20), band width multiplier 2, use population standard deviation) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",111.851,easy,channel,Middle = SMA_n(P); Upper = Middle + 2 * \sigma_n(P); Lower = Middle - 2 * \sigma_n(P),"date,close
+2021-01-08,109.9499969482422
+2021-01-11,109.1500015258789
+2021-01-12,109.77999877929688
+2021-01-13,108.87999725341795
+2021-01-14,109.05999755859376
+2021-01-15,108.4000015258789
+2021-01-19,110.2699966430664
+2021-01-20,111.0
+2021-01-21,110.72000122070312
+2021-01-22,110.43000030517578
+2021-01-25,110.9499969482422
+2021-01-26,109.5199966430664
+2021-01-27,110.51000213623048
+2021-01-28,109.3000030517578
+2021-01-29,107.18000030517578
+2021-02-01,108.70999908447266
+2021-02-02,110.79000091552734
+2021-02-03,109.0
+2021-02-04,107.12999725341795
+2021-02-05,106.91999816894533
+",
+US,technical,"For Corpay's Bollinger Bands on December 15, 2025, what is the upper value? (Standard parameters: middle band SMA(20), band width multiplier 2, use population standard deviation) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",322.4211,easy,channel,Middle = SMA_n(P); Upper = Middle + 2 * \sigma_n(P); Lower = Middle - 2 * \sigma_n(P),"date,close
+2025-11-17,274.17999267578125
+2025-11-18,272.7799987792969
+2025-11-19,276.4599914550781
+2025-11-20,277.29998779296875
+2025-11-21,288.82000732421875
+2025-11-24,287.0299987792969
+2025-11-25,291.9800109863281
+2025-11-26,293.3399963378906
+2025-11-28,295.79998779296875
+2025-12-01,296.2699890136719
+2025-12-02,294.95001220703125
+2025-12-03,299.8900146484375
+2025-12-04,297.3900146484375
+2025-12-05,310.6400146484375
+2025-12-08,303.70001220703125
+2025-12-09,300.2799987792969
+2025-12-10,311.57000732421875
+2025-12-11,316.29998779296875
+2025-12-12,316.0899963378906
+2025-12-15,312.1600036621094
+",
+US,technical,"What is the value of the upper of Bollinger Bands for Gartner on January 13, 2025? (Standard parameters: middle band SMA(20), band width multiplier 2, use population standard deviation) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",508.3171,easy,channel,Middle = SMA_n(P); Upper = Middle + 2 * \sigma_n(P); Lower = Middle - 2 * \sigma_n(P),"date,close
+2024-12-12,514.1300048828125
+2024-12-13,508.4599914550781
+2024-12-16,502.5799865722656
+2024-12-17,497.4200134277344
+2024-12-18,481.7699890136719
+2024-12-19,481.2200012207031
+2024-12-20,491.25
+2024-12-23,487.2200012207031
+2024-12-24,489.9599914550781
+2024-12-26,489.2200012207031
+2024-12-27,486.9599914550781
+2024-12-30,485.4500122070313
+2024-12-31,484.4700012207031
+2025-01-02,483.2999877929688
+2025-01-03,485.9700012207031
+2025-01-06,491.7200012207031
+2025-01-07,491.4800109863281
+2025-01-08,495.4400024414063
+2025-01-10,489.0
+2025-01-13,493.1300048828125
+",
+US,technical,"Calculate the Bollinger Bands middle channel value for Arch Capital Group on December 11, 2023. (Standard parameters: middle band SMA(20), band width multiplier 2, use population standard deviation) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",83.3195,easy,channel,Middle = SMA_n(P); Upper = Middle + 2 * \sigma_n(P); Lower = Middle - 2 * \sigma_n(P),"date,close
+2023-11-13,86.56999969482422
+2023-11-14,85.5
+2023-11-15,82.66000366210938
+2023-11-16,83.70999908447266
+2023-11-17,83.5999984741211
+2023-11-20,84.45999908447266
+2023-11-21,86.12999725341797
+2023-11-22,85.94999694824219
+2023-11-24,86.5999984741211
+2023-11-27,87.0
+2023-11-28,84.44999694824219
+2023-11-29,82.37999725341797
+2023-11-30,83.69000244140625
+2023-12-01,82.62999725341797
+2023-12-04,81.98999786376953
+2023-12-05,81.8499984741211
+2023-12-06,79.97000122070312
+2023-12-07,78.33999633789062
+2023-12-08,79.30000305175781
+2023-12-11,79.61000061035156
+",
+US,technical,"What is the lower channel value of Keltner Channel for Mid-America Apartment Communities on March 17, 2021? (Standard parameters: middle EMA(20), requiring 4n data points to warm up, using the first data point as the initial value; ATR(10) using Wilder smoothing, multiplier 1.5) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",133.5101,easy,channel,Middle = EMA_{n_{ema}}(C); Upper = Middle + 1.5 * ATR_{n_{atr}}^{Wilder}; Lower = Middle - 1.5 * ATR_{n_{atr}}^{Wilder},"date,close,high,low
+2020-11-18,126.06999969482422,131.97000122070312,126.05999755859376
+2020-11-19,126.13999938964844,126.72000122070312,123.43000030517578
+2020-11-20,126.18000030517578,126.48999786376952,124.91999816894533
+2020-11-23,123.7699966430664,126.88999938964844,123.52999877929688
+2020-11-24,125.87999725341795,127.30999755859376,124.83999633789062
+2020-11-25,125.02999877929688,126.30999755859376,124.41000366210938
+2020-11-27,124.0,124.77999877929688,122.63999938964844
+2020-11-30,126.16000366210938,126.3000030517578,122.4499969482422
+2020-12-01,124.58999633789062,126.31999969482422,123.66999816894533
+2020-12-02,123.7300033569336,127.4800033569336,123.25
+2020-12-03,123.6500015258789,124.87999725341795,123.33000183105467
+2020-12-04,125.12999725341795,125.41999816894533,123.56999969482422
+2020-12-07,125.31999969482422,126.11000061035156,124.6500015258789
+2020-12-08,123.93000030517578,125.48999786376952,123.69000244140624
+2020-12-09,122.9000015258789,125.06999969482422,121.0
+2020-12-10,120.18000030517578,122.66999816894533,119.75
+2020-12-11,121.66000366210938,121.97000122070312,119.20999908447266
+2020-12-14,121.44000244140624,123.6999969482422,121.12999725341795
+2020-12-15,123.54000091552734,123.54000091552734,120.5
+2020-12-16,123.41000366210938,125.12999725341795,122.52999877929688
+2020-12-17,125.58999633789062,126.1999969482422,123.06999969482422
+2020-12-18,124.04000091552734,126.27999877929688,123.41000366210938
+2020-12-21,124.5999984741211,124.9800033569336,122.33000183105467
+2020-12-22,125.27999877929688,125.4000015258789,123.56999969482422
+2020-12-23,122.66000366210938,126.25,122.58000183105467
+2020-12-24,124.5999984741211,124.61000061035156,122.97000122070312
+2020-12-28,124.97000122070312,125.83999633789062,124.0500030517578
+2020-12-29,124.25,126.30999755859376,123.4499969482422
+2020-12-30,125.0,126.20999908447266,124.1999969482422
+2020-12-31,126.69000244140624,126.97000122070312,123.9000015258789
+2021-01-04,122.70999908447266,127.37000274658205,122.1500015258789
+2021-01-05,122.66999816894533,123.81999969482422,122.3499984741211
+2021-01-06,124.6999969482422,124.86000061035156,122.7699966430664
+2021-01-07,124.5500030517578,125.33000183105467,123.4499969482422
+2021-01-08,125.2699966430664,125.37000274658205,124.0
+2021-01-11,124.20999908447266,125.33000183105467,123.16999816894533
+2021-01-12,124.69000244140624,124.97000122070312,123.0
+2021-01-13,126.41999816894533,127.06999969482422,124.5999984741211
+2021-01-14,129.0,129.0800018310547,125.31999969482422
+2021-01-15,132.00999450683594,132.13999938964844,127.72000122070312
+2021-01-19,130.61000061035156,132.42999267578125,129.99000549316406
+2021-01-20,133.16000366210938,133.61000061035156,128.94000244140625
+2021-01-21,133.4499969482422,133.52999877929688,131.13999938964844
+2021-01-22,134.17999267578125,134.83999633789062,132.22999572753906
+2021-01-25,133.86000061035156,134.9600067138672,132.97000122070312
+2021-01-26,134.88999938964844,135.4199981689453,133.88999938964844
+2021-01-27,131.72999572753906,135.0,131.10000610351562
+2021-01-28,132.7899932861328,134.74000549316406,131.02000427246094
+2021-01-29,132.75,133.3800048828125,129.8300018310547
+2021-02-01,134.97999572753906,135.1300048828125,130.72000122070312
+2021-02-02,135.5800018310547,136.42999267578125,133.8699951171875
+2021-02-03,134.7100067138672,135.8699951171875,133.67999267578125
+2021-02-04,134.83999633789062,137.0,134.0
+2021-02-05,134.72000122070312,135.27000427246094,133.2100067138672
+2021-02-08,135.49000549316406,136.14999389648438,133.77000427246094
+2021-02-09,135.5500030517578,136.24000549316406,134.52000427246094
+2021-02-10,136.3000030517578,137.24000549316406,134.85000610351562
+2021-02-11,137.97000122070312,138.02000427246094,135.49000549316406
+2021-02-12,138.13999938964844,138.39999389648438,136.94000244140625
+2021-02-16,138.44000244140625,138.49000549316406,136.50999450683594
+2021-02-17,137.72000122070312,138.7899932861328,137.08999633789062
+2021-02-18,137.25,138.13999938964844,136.38999938964844
+2021-02-19,137.57000732421875,138.22000122070312,137.0
+2021-02-22,138.69000244140625,139.11000061035156,136.3300018310547
+2021-02-23,142.3000030517578,142.61000061035156,139.33999633789062
+2021-02-24,140.50999450683594,142.97999572753906,140.35000610351562
+2021-02-25,137.91000366210938,141.99000549316406,137.25
+2021-02-26,134.72999572753906,138.25999450683594,134.58999633789062
+2021-03-01,135.5399932861328,138.02999877929688,135.47000122070312
+2021-03-02,135.3000030517578,136.8699951171875,134.0
+2021-03-03,134.60000610351562,136.1699981689453,134.02999877929688
+2021-03-04,132.6999969482422,135.2899932861328,131.4499969482422
+2021-03-05,133.91000366210938,134.22000122070312,131.8699951171875
+2021-03-08,134.22999572753906,136.24000549316406,133.05999755859375
+2021-03-09,134.72999572753906,137.0399932861328,134.39999389648438
+2021-03-10,134.8300018310547,135.91000366210938,132.8699951171875
+2021-03-11,136.5500030517578,137.38999938964844,134.49000549316406
+2021-03-12,141.77999877929688,141.7899932861328,137.0
+2021-03-15,144.97999572753906,146.30999755859375,140.63999938964844
+2021-03-16,144.3800048828125,145.75999450683594,143.0
+2021-03-17,145.47000122070312,145.52999877929688,142.82000732421875
+",
+US,technical,"On July 29, 2020, what is the Keltner Channel middle channel value for First Solar? (Standard parameters: middle EMA(20), requiring 4n data points to warm up, using the first data point as the initial value; ATR(10) using Wilder smoothing, multiplier 1.5) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",58.4932,easy,channel,Middle = EMA_{n_{ema}}(C); Upper = Middle + 1.5 * ATR_{n_{atr}}^{Wilder}; Lower = Middle - 1.5 * ATR_{n_{atr}}^{Wilder},"date,close,high,low
+2020-04-03,34.380001068115234,36.29999923706055,34.119998931884766
+2020-04-06,36.75,37.40999984741211,35.0
+2020-04-07,37.34999847412109,38.88999938964844,37.130001068115234
+2020-04-08,38.900001525878906,39.060001373291016,36.59000015258789
+2020-04-09,40.45000076293945,41.0099983215332,39.09999847412109
+2020-04-13,40.61000061035156,40.93000030517578,39.63999938964844
+2020-04-14,42.119998931884766,42.84000015258789,41.09000015258789
+2020-04-15,40.93000030517578,41.68000030517578,40.5099983215332
+2020-04-16,40.150001525878906,41.84000015258789,39.70000076293945
+2020-04-17,42.20000076293945,42.400001525878906,41.18000030517578
+2020-04-20,41.0,42.27999877929688,40.88999938964844
+2020-04-21,39.18000030517578,40.880001068115234,38.959999084472656
+2020-04-22,40.22999954223633,40.52999877929688,39.59999847412109
+2020-04-23,42.290000915527344,42.43999862670898,40.29999923706055
+2020-04-24,40.84000015258789,42.84000015258789,40.56999969482422
+2020-04-27,43.2599983215332,43.41999816894531,41.060001373291016
+2020-04-28,41.77000045776367,44.400001525878906,41.75
+2020-04-29,45.54999923706055,45.68000030517578,42.29999923706055
+2020-04-30,44.0099983215332,44.900001525878906,43.75
+2020-05-01,41.97999954223633,43.400001525878906,41.58000183105469
+2020-05-04,43.400001525878906,43.45000076293945,41.31999969482422
+2020-05-05,43.09999847412109,44.93000030517578,42.84000015258789
+2020-05-06,43.119998931884766,44.59999847412109,43.06999969482422
+2020-05-07,44.65999984741211,44.7599983215332,43.470001220703125
+2020-05-08,44.15999984741211,45.5,43.400001525878906
+2020-05-11,42.869998931884766,44.060001373291016,42.45000076293945
+2020-05-12,40.34999847412109,43.400001525878906,40.29999923706055
+2020-05-13,39.43000030517578,41.16999816894531,39.0099983215332
+2020-05-14,39.790000915527344,39.959999084472656,37.91999816894531
+2020-05-15,39.369998931884766,39.369998931884766,38.59000015258789
+2020-05-18,42.369998931884766,42.4900016784668,40.70000076293945
+2020-05-19,43.22999954223633,44.970001220703125,42.11000061035156
+2020-05-20,43.93999862670898,45.02999877929688,43.5099983215332
+2020-05-21,43.7599983215332,44.70000076293945,43.5099983215332
+2020-05-22,43.470001220703125,43.959999084472656,43.18000030517578
+2020-05-26,46.560001373291016,46.83000183105469,44.7599983215332
+2020-05-27,46.61000061035156,47.59999847412109,44.86000061035156
+2020-05-28,45.52000045776367,47.13999938964844,45.27000045776367
+2020-05-29,46.619998931884766,46.77999877929688,45.06999969482422
+2020-06-01,48.0099983215332,48.52999877929688,46.2599983215332
+2020-06-02,47.900001525878906,49.18999862670898,47.540000915527344
+2020-06-03,49.5,49.95000076293945,48.310001373291016
+2020-06-04,49.61000061035156,49.970001220703125,49.25
+2020-06-05,51.380001068115234,51.970001220703125,50.0
+2020-06-08,54.43999862670898,54.5,51.650001525878906
+2020-06-09,53.060001373291016,53.88999938964844,52.04999923706055
+2020-06-10,51.18999862670898,53.130001068115234,51.060001373291016
+2020-06-11,48.93999862670898,50.5,48.70000076293945
+2020-06-12,49.41999816894531,50.5099983215332,48.20000076293945
+2020-06-15,50.11000061035156,50.2400016784668,47.869998931884766
+2020-06-16,51.310001373291016,52.02000045776367,50.59000015258789
+2020-06-17,49.900001525878906,51.83000183105469,49.81999969482422
+2020-06-18,50.470001220703125,51.310001373291016,49.52000045776367
+2020-06-19,50.20000076293945,51.560001373291016,50.119998931884766
+2020-06-22,49.79999923706055,50.41999816894531,49.29999923706055
+2020-06-23,51.91999816894531,52.29999923706055,50.470001220703125
+2020-06-24,49.08000183105469,51.869998931884766,48.560001373291016
+2020-06-25,50.380001068115234,50.41999816894531,48.63999938964844
+2020-06-26,48.7599983215332,50.41999816894531,48.68999862670898
+2020-06-29,49.61000061035156,50.11000061035156,48.29999923706055
+2020-06-30,49.5,50.34000015258789,48.970001220703125
+2020-07-01,49.09000015258789,49.88999938964844,49.040000915527344
+2020-07-02,49.880001068115234,50.9900016784668,49.77999877929688
+2020-07-06,53.40999984741211,53.70000076293945,50.5
+2020-07-07,53.15999984741211,53.56999969482422,52.34999847412109
+2020-07-08,58.060001373291016,58.16999816894531,53.130001068115234
+2020-07-09,57.20000076293945,59.56999969482422,55.900001525878906
+2020-07-10,57.4900016784668,58.45000076293945,56.34000015258789
+2020-07-13,56.209999084472656,59.61000061035156,56.11000061035156
+2020-07-14,61.77999877929688,61.83000183105469,55.34999847412109
+2020-07-15,60.97999954223633,62.70000076293945,58.9900016784668
+2020-07-16,59.02999877929688,60.93000030517578,58.540000915527344
+2020-07-17,61.0,61.34000015258789,59.2400016784668
+2020-07-20,62.15999984741211,63.68000030517578,60.61000061035156
+2020-07-21,60.7400016784668,62.84000015258789,59.88999938964844
+2020-07-22,61.150001525878906,61.79999923706055,60.36000061035156
+2020-07-23,62.5,63.470001220703125,60.77000045776367
+2020-07-24,62.15999984741211,62.369998931884766,60.56999969482422
+2020-07-27,62.2599983215332,62.470001220703125,60.2400016784668
+2020-07-28,59.68000030517578,62.09000015258789,59.58000183105469
+2020-07-29,60.11000061035156,60.84000015258789,59.630001068115234
+",
+US,technical,"For Qualcomm's Keltner Channel on May 18, 2023, what is the middle value? (Standard parameters: middle EMA(20), requiring 4n data points to warm up, using the first data point as the initial value; ATR(10) using Wilder smoothing, multiplier 1.5) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",109.7153,easy,channel,Middle = EMA_{n_{ema}}(C); Upper = Middle + 1.5 * ATR_{n_{atr}}^{Wilder}; Lower = Middle - 1.5 * ATR_{n_{atr}}^{Wilder},"date,close,high,low
+2023-01-24,130.6999969482422,132.97000122070312,130.14999389648438
+2023-01-25,131.1699981689453,131.5399932861328,127.6999969482422
+2023-01-26,133.9600067138672,134.85000610351562,131.16000366210938
+2023-01-27,133.39999389648438,134.88999938964844,131.4199981689453
+2023-01-30,131.6300048828125,132.39999389648438,130.14999389648438
+2023-01-31,133.2100067138672,133.63999938964844,131.32000732421875
+2023-02-01,138.4600067138672,139.94000244140625,132.67999267578125
+2023-02-02,135.85000610351562,139.16000366210938,134.8000030517578
+2023-02-03,135.02000427246094,138.39999389648438,128.57000732421875
+2023-02-06,132.92999267578125,134.8800048828125,131.86000061035156
+2023-02-07,136.6300048828125,137.3800048828125,132.3300018310547
+2023-02-08,132.1699981689453,136.27999877929688,131.75999450683594
+2023-02-09,130.52999877929688,135.22999572753906,129.9199981689453
+2023-02-10,128.99000549316406,129.94000244140625,127.62000274658205
+2023-02-13,130.83999633789062,131.42999267578125,128.38999938964844
+2023-02-14,132.33999633789062,132.8800048828125,128.36000061035156
+2023-02-15,133.07000732421875,133.3300018310547,130.3000030517578
+2023-02-16,130.16000366210938,132.58999633789062,129.9499969482422
+2023-02-17,127.72000122070312,129.80999755859375,126.95999908447266
+2023-02-21,123.6999969482422,127.62000274658205,123.5500030517578
+2023-02-22,123.9499969482422,124.97000122070312,122.91999816894533
+2023-02-23,126.1999969482422,127.2300033569336,123.66999816894533
+2023-02-24,124.33999633789062,124.70999908447266,123.18000030517578
+2023-02-27,123.41999816894533,126.5999984741211,123.04000091552734
+2023-02-28,123.52999877929688,125.0999984741211,122.91999816894533
+2023-03-01,123.68000030517578,125.47000122070312,122.9800033569336
+2023-03-02,123.77999877929688,124.26000213623048,120.86000061035156
+2023-03-03,123.5999984741211,124.20999908447266,121.66999816894533
+2023-03-06,122.41000366210938,125.16999816894533,122.02999877929688
+2023-03-07,119.19000244140624,122.5,118.27999877929688
+2023-03-08,121.1999969482422,121.75,119.3499984741211
+2023-03-09,117.22000122070312,121.91999816894533,116.94000244140624
+2023-03-10,115.19000244140624,118.2300033569336,114.52999877929688
+2023-03-13,114.43000030517578,116.23999786376952,113.27999877929688
+2023-03-14,116.5500030517578,117.05999755859376,113.91999816894533
+2023-03-15,115.48999786376952,116.18000030517578,113.13999938964844
+2023-03-16,120.51000213623048,120.83000183105467,115.91000366210938
+2023-03-17,120.7300033569336,122.87000274658205,119.1500015258789
+2023-03-20,121.81999969482422,122.0199966430664,119.80999755859376
+2023-03-21,123.8000030517578,125.06999969482422,122.1500015258789
+2023-03-22,121.97000122070312,126.23999786376952,121.87000274658205
+2023-03-23,124.1500015258789,127.0,122.0999984741211
+2023-03-24,124.76000213623048,124.93000030517578,122.25
+2023-03-27,123.5999984741211,126.05999755859376,123.31999969482422
+2023-03-28,121.33999633789062,123.68000030517578,120.20999908447266
+2023-03-29,125.08999633789062,125.95999908447266,123.25
+2023-03-30,127.4000015258789,128.19000244140625,126.43000030517578
+2023-03-31,127.58000183105467,127.97000122070312,126.29000091552734
+2023-04-03,124.73999786376952,127.56999969482422,123.61000061035156
+2023-04-04,122.3000030517578,125.22000122070312,121.80999755859376
+2023-04-05,123.04000091552734,123.22000122070312,121.25
+2023-04-06,123.0,123.8499984741211,121.0500030517578
+2023-04-10,124.29000091552734,124.58000183105467,121.68000030517578
+2023-04-11,123.56999969482422,125.25,123.16999816894533
+2023-04-12,120.2699966430664,124.5,120.1500015258789
+2023-04-13,121.12999725341795,121.66000366210938,119.12000274658205
+2023-04-14,120.16000366210938,121.91999816894533,118.76000213623048
+2023-04-17,119.37999725341795,119.83999633789062,118.16999816894533
+2023-04-18,118.36000061035156,120.8000030517578,117.41000366210938
+2023-04-19,118.54000091552734,118.69000244140624,116.4499969482422
+2023-04-20,118.63999938964844,119.9000015258789,117.12000274658205
+2023-04-21,117.76000213623048,118.19000244140624,116.5500030517578
+2023-04-24,117.3499984741211,117.83000183105467,116.56999969482422
+2023-04-25,114.0500030517578,116.83999633789062,113.68000030517578
+2023-04-26,114.16000366210938,115.0999984741211,113.20999908447266
+2023-04-27,113.91999816894533,114.30999755859376,112.1500015258789
+2023-04-28,116.8000030517578,116.9000015258789,113.7300033569336
+2023-05-01,115.83999633789062,117.58000183105467,115.51000213623048
+2023-05-02,116.11000061035156,117.05999755859376,114.44000244140624
+2023-05-03,112.83000183105467,116.81999969482422,112.5999984741211
+2023-05-04,106.58000183105467,107.12000274658205,103.5
+2023-05-05,108.77999877929688,109.2699966430664,105.7699966430664
+2023-05-08,108.30999755859376,108.83000183105467,106.87000274658205
+2023-05-09,105.7699966430664,107.43000030517578,105.3000030517578
+2023-05-10,106.45999908447266,107.4800033569336,105.13999938964844
+2023-05-11,104.05999755859376,106.51000213623048,103.68000030517578
+2023-05-12,103.62000274658205,104.73999786376952,102.61000061035156
+2023-05-15,106.27999877929688,106.4000015258789,102.88999938964844
+2023-05-16,103.79000091552734,106.4800033569336,103.72000122070312
+2023-05-17,104.80999755859376,105.4499969482422,103.58000183105467
+2023-05-18,106.95999908447266,107.12000274658205,104.80999755859376
+",
+US,technical,"What is the value of the upper of Keltner Channel for Brown & Brown on June 18, 2024? (Standard parameters: middle EMA(20), requiring 4n data points to warm up, using the first data point as the initial value; ATR(10) using Wilder smoothing, multiplier 1.5) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",91.7241,easy,channel,Middle = EMA_{n_{ema}}(C); Upper = Middle + 1.5 * ATR_{n_{atr}}^{Wilder}; Lower = Middle - 1.5 * ATR_{n_{atr}}^{Wilder},"date,close,high,low
+2024-02-23,84.23999786376953,84.5999984741211,83.91000366210938
+2024-02-26,84.05000305175781,84.7300033569336,84.0199966430664
+2024-02-27,84.11000061035156,84.22000122070312,83.13999938964844
+2024-02-28,84.77999877929688,84.87000274658203,84.18000030517578
+2024-02-29,84.20999908447266,84.83999633789062,83.77999877929688
+2024-03-01,83.73999786376953,84.01000213623047,83.1500015258789
+2024-03-04,83.94999694824219,84.13999938964844,83.19999694824219
+2024-03-05,84.0999984741211,84.20999908447266,83.26000213623047
+2024-03-06,85.11000061035156,85.20999908447266,84.05999755859375
+2024-03-07,85.8499984741211,86.52999877929688,85.08999633789062
+2024-03-08,85.19000244140625,86.02999877929688,84.83000183105469
+2024-03-11,84.87999725341797,85.58999633789062,84.68000030517578
+2024-03-12,85.9000015258789,86.22000122070312,84.80000305175781
+2024-03-13,85.51000213623047,85.7699966430664,84.8499984741211
+2024-03-14,84.98999786376953,85.83000183105469,84.51000213623047
+2024-03-15,84.94000244140625,85.1500015258789,83.19000244140625
+2024-03-18,85.01000213623047,85.48999786376953,84.91000366210938
+2024-03-19,85.4800033569336,85.63999938964844,84.83999633789062
+2024-03-20,86.69999694824219,87.0,85.54000091552734
+2024-03-21,86.04000091552734,86.94999694824219,85.94999694824219
+2024-03-22,86.0,86.66000366210938,85.93000030517578
+2024-03-25,85.9000015258789,86.19000244140625,85.7300033569336
+2024-03-26,86.41999816894531,86.54000091552734,85.58000183105469
+2024-03-27,87.26000213623047,87.41999816894531,86.5
+2024-03-28,87.54000091552734,87.98999786376953,87.19000244140625
+2024-04-01,86.31999969482422,87.30999755859375,86.30000305175781
+2024-04-02,85.51000213623047,86.9800033569336,85.33999633789062
+2024-04-03,85.48999786376953,86.0999984741211,85.3499984741211
+2024-04-04,83.94000244140625,86.06999969482422,83.7699966430664
+2024-04-05,85.1500015258789,85.56999969482422,83.97000122070312
+2024-04-08,85.51000213623047,86.04000091552734,84.91999816894531
+2024-04-09,84.55999755859375,85.76000213623047,83.70999908447266
+2024-04-10,83.5999984741211,84.30000305175781,83.43000030517578
+2024-04-11,82.6500015258789,83.30000305175781,82.27999877929688
+2024-04-12,81.9000015258789,83.05000305175781,81.58999633789062
+2024-04-15,81.02999877929688,83.12999725341797,81.01000213623047
+2024-04-16,80.91999816894531,81.69999694824219,80.9000015258789
+2024-04-17,80.62000274658203,81.3499984741211,80.33000183105469
+2024-04-18,81.12999725341797,81.86000061035156,80.88999938964844
+2024-04-19,82.16999816894531,82.19000244140625,81.1500015258789
+2024-04-22,82.5,83.20999908447266,82.33999633789062
+2024-04-23,82.93000030517578,83.5,81.48999786376953
+2024-04-24,82.12999725341797,82.87999725341797,81.69000244140625
+2024-04-25,82.27999877929688,82.6500015258789,81.5
+2024-04-26,81.45999908447266,82.1500015258789,80.87000274658203
+2024-04-29,81.54000091552734,81.7699966430664,80.91000366210938
+2024-04-30,81.54000091552734,82.12999725341797,81.06999969482422
+2024-05-01,82.69999694824219,83.61000061035156,81.56999969482422
+2024-05-02,82.8499984741211,83.20999908447266,82.27999877929688
+2024-05-03,83.5,83.63999938964844,81.79000091552734
+2024-05-06,84.20999908447266,84.47000122070312,83.5999984741211
+2024-05-07,85.23999786376953,85.33000183105469,84.47000122070312
+2024-05-08,84.80999755859375,85.81999969482422,84.76000213623047
+2024-05-09,85.61000061035156,85.7300033569336,84.52999877929688
+2024-05-10,87.06999969482422,87.43000030517578,85.88999938964844
+2024-05-13,87.47000122070312,87.7699966430664,87.0199966430664
+2024-05-14,88.44999694824219,88.51000213623047,87.06999969482422
+2024-05-15,88.69999694824219,88.97000122070312,88.1500015258789
+2024-05-16,89.4000015258789,89.9800033569336,88.98999786376953
+2024-05-17,89.83000183105469,89.87000274658203,89.25
+2024-05-20,89.86000061035156,89.91000366210938,89.33999633789062
+2024-05-21,89.8499984741211,90.5,89.83999633789062
+2024-05-22,91.16000366210938,91.6999969482422,89.9000015258789
+2024-05-23,89.11000061035156,91.18000030517578,88.98999786376953
+2024-05-24,89.36000061035156,89.51000213623047,89.04000091552734
+2024-05-28,87.58000183105469,89.18000030517578,87.47000122070312
+2024-05-29,86.31999969482422,87.19000244140625,86.2699966430664
+2024-05-30,87.75,88.01000213623047,85.97000122070312
+2024-05-31,89.51000213623047,89.6500015258789,87.87999725341797
+2024-06-03,88.88999938964844,89.83999633789062,88.08999633789062
+2024-06-04,89.9000015258789,89.98999786376953,88.66000366210938
+2024-06-05,90.0,90.1500015258789,88.8499984741211
+2024-06-06,89.52999877929688,90.47000122070312,88.87999725341797
+2024-06-07,90.27999877929688,90.68000030517578,89.66000366210938
+2024-06-10,89.63999938964844,90.41999816894533,89.18000030517578
+2024-06-11,89.62000274658203,89.69000244140625,88.68000030517578
+2024-06-12,90.47000122070312,90.69000244140624,89.0999984741211
+2024-06-13,90.5199966430664,90.8000030517578,89.62000274658203
+2024-06-14,90.08000183105467,90.5,89.73999786376953
+2024-06-17,92.0,92.12000274658205,89.72000122070312
+2024-06-18,92.41000366210938,93.0500030517578,91.87000274658205
+",
+US,technical,"Calculate the Keltner Channel middle channel value for Southwest Airlines on November 11, 2025. (Standard parameters: middle EMA(20), requiring 4n data points to warm up, using the first data point as the initial value; ATR(10) using Wilder smoothing, multiplier 1.5) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",31.8225,easy,channel,Middle = EMA_{n_{ema}}(C); Upper = Middle + 1.5 * ATR_{n_{atr}}^{Wilder}; Lower = Middle - 1.5 * ATR_{n_{atr}}^{Wilder},"date,close,high,low
+2025-07-21,36.86000061035156,37.27999877929688,36.560001373291016
+2025-07-22,37.16999816894531,37.41999816894531,36.84999847412109
+2025-07-23,37.43999862670898,37.84999847412109,37.34999847412109
+2025-07-24,33.2599983215332,36.25,32.400001525878906
+2025-07-25,33.209999084472656,33.38999938964844,32.619998931884766
+2025-07-28,32.52000045776367,33.060001373291016,32.119998931884766
+2025-07-29,31.100000381469727,32.84000015258789,31.09000015258789
+2025-07-30,30.709999084472656,31.36000061035156,30.450000762939453
+2025-07-31,30.93000030517578,31.290000915527344,30.3700008392334
+2025-08-01,29.799999237060547,30.309999465942383,29.34000015258789
+2025-08-04,29.75,30.18000030517578,29.61000061035156
+2025-08-05,29.920000076293945,30.229999542236328,29.540000915527344
+2025-08-06,29.709999084472656,30.239999771118164,29.559999465942383
+2025-08-07,29.559999465942383,30.06999969482422,29.36000061035156
+2025-08-08,29.6200008392334,30.01000022888184,29.5
+2025-08-11,29.059999465942383,29.93000030517578,28.979999542236328
+2025-08-12,30.71999931335449,30.8799991607666,29.32999992370605
+2025-08-13,30.96999931335449,31.149999618530277,30.399999618530277
+2025-08-14,30.700000762939453,30.81999969482422,30.21999931335449
+2025-08-15,31.5,31.770000457763672,30.75
+2025-08-18,31.309999465942383,31.420000076293945,31.020000457763672
+2025-08-19,31.59000015258789,31.71999931335449,31.21999931335449
+2025-08-20,31.18000030517578,31.65999984741211,31.100000381469727
+2025-08-21,31.06999969482422,31.11000061035156,30.549999237060547
+2025-08-22,32.77000045776367,32.869998931884766,31.21999931335449
+2025-08-25,32.52000045776367,32.790000915527344,32.41999816894531
+2025-08-26,33.400001525878906,33.5099983215332,32.4900016784668
+2025-08-27,33.189998626708984,33.63999938964844,33.029998779296875
+2025-08-28,32.97999954223633,33.349998474121094,32.54999923706055
+2025-08-29,32.900001525878906,33.06999969482422,32.630001068115234
+2025-09-02,32.25,32.939998626708984,31.709999084472656
+2025-09-03,32.33000183105469,33.349998474121094,32.119998931884766
+2025-09-04,31.1200008392334,32.68000030517578,30.899999618530277
+2025-09-05,31.38999938964844,31.86000061035156,30.989999771118164
+2025-09-08,31.709999084472656,31.86000061035156,31.200000762939453
+2025-09-09,30.989999771118164,31.68000030517578,30.63999938964844
+2025-09-10,31.11000061035156,31.43000030517578,30.57999992370605
+2025-09-11,31.71999931335449,31.84000015258789,30.600000381469727
+2025-09-12,31.65999984741211,32.459999084472656,31.540000915527344
+2025-09-15,31.43000030517578,31.790000915527344,31.190000534057617
+2025-09-16,31.56999969482422,31.709999084472656,30.709999084472656
+2025-09-17,32.119998931884766,32.630001068115234,31.559999465942383
+2025-09-18,32.27000045776367,32.400001525878906,31.63999938964844
+2025-09-19,32.52000045776367,32.75,31.979999542236328
+2025-09-22,32.29999923706055,32.45000076293945,31.90999984741211
+2025-09-23,33.34000015258789,33.40999984741211,32.2400016784668
+2025-09-24,33.060001373291016,33.900001525878906,32.970001220703125
+2025-09-25,31.93000030517578,32.880001068115234,31.65999984741211
+2025-09-26,32.529998779296875,32.599998474121094,32.0
+2025-09-29,32.7599983215332,33.060001373291016,32.40999984741211
+2025-09-30,31.90999984741211,32.88999938964844,30.770000457763672
+2025-10-01,32.279998779296875,32.54999923706055,31.809999465942383
+2025-10-02,32.310001373291016,32.58000183105469,31.84000015258789
+2025-10-03,32.52000045776367,33.4900016784668,32.5099983215332
+2025-10-06,32.58000183105469,32.709999084472656,31.770000457763672
+2025-10-07,32.38999938964844,32.7599983215332,32.09000015258789
+2025-10-08,32.45000076293945,32.70000076293945,32.11000061035156
+2025-10-09,31.68000030517578,33.72999954223633,31.46999931335449
+2025-10-10,31.290000915527344,32.630001068115234,31.059999465942383
+2025-10-13,31.899999618530277,32.31999969482422,31.559999465942383
+2025-10-14,33.41999816894531,33.630001068115234,31.420000076293945
+2025-10-15,33.560001373291016,33.880001068115234,33.25
+2025-10-16,33.290000915527344,34.04999923706055,32.84000015258789
+2025-10-17,33.52000045776367,33.79999923706055,33.189998626708984
+2025-10-20,34.43000030517578,34.66999816894531,33.599998474121094
+2025-10-21,34.68000030517578,34.97999954223633,34.060001373291016
+2025-10-22,33.7599983215332,34.75,33.43000030517578
+2025-10-23,31.649999618530277,33.150001525878906,31.020000457763672
+2025-10-24,32.20000076293945,32.43000030517578,31.3799991607666
+2025-10-27,32.25,32.7400016784668,31.8700008392334
+2025-10-28,31.09000015258789,32.18000030517578,31.030000686645508
+2025-10-29,30.65999984741211,31.1299991607666,30.459999084472656
+2025-10-30,30.09000015258789,30.770000457763672,30.049999237060547
+2025-10-31,30.299999237060547,30.38999938964844,29.920000076293945
+2025-11-03,30.43000030517578,30.76000022888184,29.75
+2025-11-04,29.670000076293945,30.170000076293945,29.26000022888184
+2025-11-05,31.6200008392334,31.649999618530277,29.799999237060547
+2025-11-06,31.51000022888184,31.96999931335449,31.049999237060547
+2025-11-07,32.45000076293945,32.470001220703125,30.850000381469727
+2025-11-10,32.65999984741211,33.58000183105469,32.470001220703125
+2025-11-11,31.989999771118164,32.79999923706055,31.790000915527344
+",
+US,technical,"What is the lower channel value of Moving Average Envelope for Omnicom Group on December 05, 2022? (Standard parameters: middle band SMA(20), upper and lower bands +/- 10%) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",69.3149,easy,channel,Middle = SMA_n(P); Upper = Middle * 1.1; Lower = Middle * 0.9,"date,close
+2022-11-07,72.86000061035156
+2022-11-08,74.0999984741211
+2022-11-09,73.36000061035156
+2022-11-10,75.11000061035156
+2022-11-11,77.51000213623047
+2022-11-14,76.38999938964844
+2022-11-15,77.0
+2022-11-16,76.18000030517578
+2022-11-17,76.2300033569336
+2022-11-18,77.19999694824219
+2022-11-21,76.56999969482422
+2022-11-22,78.0999984741211
+2022-11-23,78.19000244140625
+2022-11-25,79.1500015258789
+2022-11-28,78.1500015258789
+2022-11-29,78.76000213623047
+2022-11-30,79.76000213623047
+2022-12-01,79.86000061035156
+2022-12-02,78.6500015258789
+2022-12-05,77.19999694824219
+",
+US,technical,"On May 11, 2020, what is the Moving Average Envelope lower channel value for McKesson Corporation? (Standard parameters: middle band SMA(20), upper and lower bands +/- 10%) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",123.8297,easy,channel,Middle = SMA_n(P); Upper = Middle * 1.1; Lower = Middle * 0.9,"date,close
+2020-04-14,137.66000366210938
+2020-04-15,137.97999572753906
+2020-04-16,138.11000061035156
+2020-04-17,141.61000061035156
+2020-04-20,140.49000549316406
+2020-04-21,132.44000244140625
+2020-04-22,135.22000122070312
+2020-04-23,136.57000732421875
+2020-04-24,139.94000244140625
+2020-04-27,143.27999877929688
+2020-04-28,140.36000061035156
+2020-04-29,140.25999450683594
+2020-04-30,141.25
+2020-05-01,134.6999969482422
+2020-05-04,135.67999267578125
+2020-05-05,133.5500030517578
+2020-05-06,131.86000061035156
+2020-05-07,134.5800018310547
+2020-05-08,135.97000122070312
+2020-05-11,140.25999450683594
+",
+US,technical,"For Chevron Corporation's Moving Average Envelope on October 18, 2024, what is the upper value? (Standard parameters: middle band SMA(20), upper and lower bands +/- 10%) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",163.7955,easy,channel,Middle = SMA_n(P); Upper = Middle * 1.1; Lower = Middle * 0.9,"date,close
+2024-09-23,147.5399932861328
+2024-09-24,147.4499969482422
+2024-09-25,143.97000122070312
+2024-09-26,141.99000549316406
+2024-09-27,145.49000549316406
+2024-09-30,147.27000427246094
+2024-10-01,149.6999969482422
+2024-10-02,150.9499969482422
+2024-10-03,151.25
+2024-10-04,150.74000549316406
+2024-10-07,151.1199951171875
+2024-10-08,148.75
+2024-10-09,149.64999389648438
+2024-10-10,150.6199951171875
+2024-10-11,151.4199981689453
+2024-10-14,151.77999877929688
+2024-10-15,147.72999572753906
+2024-10-16,148.72999572753906
+2024-10-17,151.1999969482422
+2024-10-18,150.75
+",
+US,technical,"What is the value of the middle of Moving Average Envelope for Micron Technology on May 15, 2020? (Standard parameters: middle band SMA(20), upper and lower bands +/- 10%) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",45.4185,easy,channel,Middle = SMA_n(P); Upper = Middle * 1.1; Lower = Middle * 0.9,"date,close
+2020-04-20,43.400001525878906
+2020-04-21,41.40999984741211
+2020-04-22,43.90999984741211
+2020-04-23,43.77000045776367
+2020-04-24,44.15999984741211
+2020-04-27,45.27999877929688
+2020-04-28,45.310001373291016
+2020-04-29,49.83000183105469
+2020-04-30,47.88999938964844
+2020-05-01,45.060001373291016
+2020-05-04,44.459999084472656
+2020-05-05,45.40999984741211
+2020-05-06,46.08000183105469
+2020-05-07,46.59000015258789
+2020-05-08,48.25
+2020-05-11,48.20000076293945
+2020-05-12,45.68999862670898
+2020-05-13,43.52999877929688
+2020-05-14,45.72999954223633
+2020-05-15,44.40999984741211
+",
+US,technical,"Calculate the Moving Average Envelope upper channel value for Williams-Sonoma on April 21, 2020. (Standard parameters: middle band SMA(20), upper and lower bands +/- 10%) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",25.2873,easy,channel,Middle = SMA_n(P); Upper = Middle * 1.1; Lower = Middle * 0.9,"date,close
+2020-03-24,21.2450008392334
+2020-03-25,21.8700008392334
+2020-03-26,21.96500015258789
+2020-03-27,21.024999618530277
+2020-03-30,21.684999465942383
+2020-03-31,21.26000022888184
+2020-04-01,18.799999237060547
+2020-04-02,19.024999618530277
+2020-04-03,19.09499931335449
+2020-04-06,23.174999237060547
+2020-04-07,22.565000534057617
+2020-04-08,23.82999992370605
+2020-04-09,25.540000915527344
+2020-04-13,25.674999237060547
+2020-04-14,26.71999931335449
+2020-04-15,24.625
+2020-04-16,24.299999237060547
+2020-04-17,25.81999969482422
+2020-04-20,25.38500022888184
+2020-04-21,26.165000915527344
+",
+US,technical,"What is the upper channel value of Donchian Channel for NVR on March 20, 2024? (Standard parameters: 20-period high/low, middle band is their average) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",7981.3701,easy,channel,Upper = max_{i=0}^{n-1} H_{t-i}; Lower = min_{i=0}^{n-1} L_{t-i}; Middle = (Upper + Lower) / 2,"date,high,low
+2024-02-22,7540.2099609375,7442.4599609375
+2024-02-23,7615.0,7530.0
+2024-02-26,7628.5400390625,7569.56005859375
+2024-02-27,7635.0,7506.1298828125
+2024-02-28,7605.64990234375,7532.0
+2024-02-29,7700.0,7570.10009765625
+2024-03-01,7712.0,7531.02001953125
+2024-03-04,7776.169921875,7651.830078125
+2024-03-05,7770.0,7583.6201171875
+2024-03-06,7754.0,7634.27978515625
+2024-03-07,7825.0,7679.60009765625
+2024-03-08,7761.259765625,7633.419921875
+2024-03-11,7655.7998046875,7537.10986328125
+2024-03-12,7772.9501953125,7547.06982421875
+2024-03-13,7820.0,7721.47021484375
+2024-03-14,7840.0,7511.5498046875
+2024-03-15,7671.22998046875,7499.0498046875
+2024-03-18,7683.27001953125,7526.7900390625
+2024-03-19,7819.64990234375,7647.580078125
+2024-03-20,7981.3701171875,7783.2099609375
+",
+US,technical,"On January 13, 2020, what is the Donchian Channel lower channel value for Leidos? (Standard parameters: 20-period high/low, middle band is their average) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",90.03,easy,channel,Upper = max_{i=0}^{n-1} H_{t-i}; Lower = min_{i=0}^{n-1} L_{t-i}; Middle = (Upper + Lower) / 2,"date,high,low
+2019-12-13,92.04000091552734,90.02999877929688
+2019-12-16,92.5,91.4000015258789
+2019-12-17,92.04000091552734,90.98999786376952
+2019-12-18,96.0999984741211,93.36000061035156
+2019-12-19,96.5500030517578,94.36000061035156
+2019-12-20,98.02999877929688,96.2699966430664
+2019-12-23,98.66000366210938,97.2300033569336
+2019-12-24,98.33999633789062,97.56999969482422
+2019-12-26,98.76000213623048,97.9499969482422
+2019-12-27,98.72000122070312,97.56999969482422
+2019-12-30,98.22000122070312,97.12999725341795
+2019-12-31,98.70999908447266,97.56999969482422
+2020-01-02,98.63999938964844,97.81999969482422
+2020-01-03,99.87000274658205,97.41000366210938
+2020-01-06,100.44000244140624,98.68000030517578
+2020-01-07,100.7699966430664,99.6999969482422
+2020-01-08,101.08000183105467,99.80999755859376
+2020-01-09,101.45999908447266,99.75
+2020-01-10,101.62999725341795,100.93000030517578
+2020-01-13,101.81999969482422,100.83000183105467
+",
+US,technical,"For Cummins's Donchian Channel on December 17, 2025, what is the middle value? (Standard parameters: 20-period high/low, middle band is their average) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",491.75,easy,channel,Upper = max_{i=0}^{n-1} H_{t-i}; Lower = min_{i=0}^{n-1} L_{t-i}; Middle = (Upper + Lower) / 2,"date,high,low
+2025-11-19,475.7699890136719,464.9200134277344
+2025-11-20,483.5700073242188,462.8999938964844
+2025-11-21,476.3399963378906,457.0
+2025-11-24,490.3399963378906,476.9800109863281
+2025-11-25,495.1099853515625,482.6300048828125
+2025-11-26,499.8699951171875,492.2200012207031
+2025-11-28,500.1700134277344,495.3399963378906
+2025-12-01,501.4700012207031,493.5
+2025-12-02,504.2900085449219,496.1000061035156
+2025-12-03,508.3699951171875,496.3399963378906
+2025-12-04,515.6400146484375,506.25
+2025-12-05,514.4299926757812,506.4400024414063
+2025-12-08,515.8300170898438,505.8399963378906
+2025-12-09,508.1000061035156,499.2799987792969
+2025-12-10,526.5,499.2799987792969
+2025-12-11,524.3800048828125,513.489990234375
+2025-12-12,525.47998046875,504.1000061035156
+2025-12-15,518.739990234375,507.0299987792969
+2025-12-16,520.0499877929688,511.30999755859375
+2025-12-17,518.739990234375,495.489990234375
+",
+US,technical,"What is the value of the lower of Donchian Channel for Williams-Sonoma on January 13, 2021? (Standard parameters: 20-period high/low, middle band is their average) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",49.375,easy,channel,Upper = max_{i=0}^{n-1} H_{t-i}; Lower = min_{i=0}^{n-1} L_{t-i}; Middle = (Upper + Lower) / 2,"date,high,low
+2020-12-15,55.25,53.41999816894531
+2020-12-16,56.459999084472656,54.869998931884766
+2020-12-17,57.07500076293945,55.92499923706055
+2020-12-18,56.77000045776367,54.650001525878906
+2020-12-21,54.7400016784668,53.4900016784668
+2020-12-22,54.90999984741211,53.41999816894531
+2020-12-23,54.375,53.54499816894531
+2020-12-24,54.27999877929688,53.52000045776367
+2020-12-28,54.290000915527344,51.75
+2020-12-29,52.72999954223633,51.28499984741211
+2020-12-30,53.255001068115234,51.57500076293945
+2020-12-31,51.720001220703125,50.8849983215332
+2021-01-04,52.90499877929688,49.375
+2021-01-05,52.47499847412109,50.72499847412109
+2021-01-06,53.935001373291016,51.5
+2021-01-07,54.959999084472656,53.619998931884766
+2021-01-08,55.18999862670898,53.18000030517578
+2021-01-11,56.68999862670898,53.42499923706055
+2021-01-12,59.185001373291016,55.75
+2021-01-13,61.994998931884766,59.40499877929688
+",
+US,technical,"Calculate the Donchian Channel upper channel value for Vistra Corp. on September 01, 2022. (Standard parameters: 20-period high/low, middle band is their average) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",26.12,easy,channel,Upper = max_{i=0}^{n-1} H_{t-i}; Lower = min_{i=0}^{n-1} L_{t-i}; Middle = (Upper + Lower) / 2,"date,high,low
+2022-08-05,25.729999542236328,24.309999465942383
+2022-08-08,25.44499969482422,24.559999465942383
+2022-08-09,24.809999465942383,24.31999969482422
+2022-08-10,25.21999931335449,24.854999542236328
+2022-08-11,25.780000686645508,25.225000381469727
+2022-08-12,25.90999984741211,25.524999618530277
+2022-08-15,25.989999771118164,25.350000381469727
+2022-08-16,26.0,25.690000534057617
+2022-08-17,25.809999465942383,25.440000534057617
+2022-08-18,26.1200008392334,25.530000686645508
+2022-08-19,25.780000686645508,25.13999938964844
+2022-08-22,24.93000030517578,24.59000015258789
+2022-08-23,24.950000762939453,24.459999084472656
+2022-08-24,25.299999237060547,24.3700008392334
+2022-08-25,25.96999931335449,25.1200008392334
+2022-08-26,25.709999084472656,24.920000076293945
+2022-08-29,24.84000015258789,24.399999618530277
+2022-08-30,24.975000381469727,24.18000030517578
+2022-08-31,24.799999237060547,24.0049991607666
+2022-09-01,25.01000022888184,24.584999084472656
+",
+US,technical,"What is the upper channel value of SuperTrend for Ford Motor Company on September 01, 2020? (Standard parameters: period 10, multiplier 3; Require 5n data points to warm up) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",6.821,easy,channel,"Mid_t = (H_t + L_t) / 2; BasicUpper_t = Mid_t + m * ATR_n^{Wilder}; BasicLower_t = Mid_t - m * ATR_n^{Wilder}; in long state Lower_t = max(BasicLower_t, Lower_{t-1}), flip to short if C_t < Lower_t; in short state Upper_t = min(BasicUpper_t, Upper_{t-1}), flip to long if C_t > Upper_t","date,high,low,close
+2020-06-22,6.28000020980835,6.130000114440918,6.28000020980835
+2020-06-23,6.380000114440918,6.139999866485596,6.150000095367432
+2020-06-24,6.119999885559082,5.860000133514404,5.949999809265137
+2020-06-25,6.050000190734863,5.800000190734863,6.03000020980835
+2020-06-26,6.070000171661377,5.809999942779541,5.909999847412109
+2020-06-29,6.070000171661377,5.809999942779541,6.010000228881836
+2020-06-30,6.099999904632568,5.900000095367432,6.079999923706055
+2020-07-01,6.179999828338623,5.949999809265137,5.980000019073486
+2020-07-02,6.170000076293945,6.0,6.050000190734863
+2020-07-06,6.199999809265137,6.110000133514404,6.190000057220459
+2020-07-07,6.199999809265137,6.090000152587891,6.119999885559082
+2020-07-08,6.179999828338623,6.050000190734863,6.090000152587891
+2020-07-09,6.099999904632568,5.820000171661377,5.840000152587891
+2020-07-10,6.099999904632568,5.739999771118164,6.099999904632568
+2020-07-13,6.21999979019165,6.050000190734863,6.059999942779541
+2020-07-14,6.389999866485596,6.079999923706055,6.360000133514404
+2020-07-15,6.78000020980835,6.519999980926514,6.739999771118164
+2020-07-16,6.900000095367432,6.630000114440918,6.860000133514404
+2020-07-17,6.909999847412109,6.730000019073486,6.800000190734863
+2020-07-20,6.849999904632568,6.579999923706055,6.659999847412109
+2020-07-21,6.809999942779541,6.639999866485596,6.679999828338623
+2020-07-22,6.880000114440918,6.610000133514404,6.840000152587891
+2020-07-23,7.059999942779541,6.800000190734863,6.980000019073486
+2020-07-24,7.010000228881836,6.860000133514404,6.880000114440918
+2020-07-27,6.940000057220459,6.769999980926514,6.929999828338623
+2020-07-28,7.050000190734863,6.900000095367432,7.010000228881836
+2020-07-29,7.059999942779541,6.829999923706055,6.920000076293945
+2020-07-30,6.829999923706055,6.670000076293945,6.739999771118164
+2020-07-31,6.900000095367432,6.519999980926514,6.610000133514404
+2020-08-03,6.71999979019165,6.53000020980835,6.690000057220459
+2020-08-04,6.909999847412109,6.730000019073486,6.860000133514404
+2020-08-05,7.03000020980835,6.860000133514404,6.960000038146973
+2020-08-06,7.0,6.889999866485596,6.929999828338623
+2020-08-07,6.920000076293945,6.789999961853027,6.860000133514404
+2020-08-10,7.130000114440918,6.909999847412109,7.090000152587891
+2020-08-11,7.380000114440918,7.190000057220459,7.230000019073486
+2020-08-12,7.369999885559082,7.059999942779541,7.110000133514404
+2020-08-13,7.179999828338623,7.0,7.03000020980835
+2020-08-14,7.110000133514404,6.929999828338623,7.039999961853027
+2020-08-17,7.059999942779541,6.869999885559082,6.980000019073486
+2020-08-18,7.010000228881836,6.889999866485596,6.889999866485596
+2020-08-19,7.019999980926514,6.860000133514404,6.869999885559082
+2020-08-20,6.889999866485596,6.730000019073486,6.840000152587891
+2020-08-21,6.849999904632568,6.650000095367432,6.659999847412109
+2020-08-24,7.0,6.690000057220459,6.980000019073486
+2020-08-25,7.099999904632568,6.860000133514404,6.940000057220459
+2020-08-26,6.96999979019165,6.769999980926514,6.820000171661377
+2020-08-27,6.980000019073486,6.829999923706055,6.909999847412109
+2020-08-28,6.949999809265137,6.860000133514404,6.940000057220459
+2020-08-31,6.929999828338623,6.789999961853027,6.820000171661377
+2020-09-01,6.869999885559082,6.71999979019165,6.829999923706055
+",
+US,technical,"On January 03, 2020, what is the SuperTrend lower channel value for Advanced Micro Devices? (Standard parameters: period 10, multiplier 3; Require 5n data points to warm up) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",43.8765,easy,channel,"Mid_t = (H_t + L_t) / 2; BasicUpper_t = Mid_t + m * ATR_n^{Wilder}; BasicLower_t = Mid_t - m * ATR_n^{Wilder}; in long state Lower_t = max(BasicLower_t, Lower_{t-1}), flip to short if C_t < Lower_t; in short state Upper_t = min(BasicUpper_t, Upper_{t-1}), flip to long if C_t > Upper_t","date,high,low,close
+2019-10-22,32.150001525878906,31.5,31.51000022888184
+2019-10-23,31.649999618530277,30.82999992370605,31.36000061035156
+2019-10-24,31.86000061035156,31.34000015258789,31.71999931335449
+2019-10-25,32.86000061035156,31.82999992370605,32.709999084472656
+2019-10-28,33.90999984741211,33.150001525878906,33.689998626708984
+2019-10-29,33.900001525878906,32.70000076293945,33.029998779296875
+2019-10-30,33.34000015258789,32.029998779296875,33.130001068115234
+2019-10-31,34.34000015258789,32.81999969482422,33.93000030517578
+2019-11-01,35.0,34.099998474121094,34.88999938964844
+2019-11-04,36.45000076293945,34.7599983215332,36.290000915527344
+2019-11-05,37.18000030517578,35.97999954223633,36.150001525878906
+2019-11-06,36.47999954223633,35.52000045776367,35.93000030517578
+2019-11-07,36.9900016784668,36.02999877929688,36.27999877929688
+2019-11-08,36.58000183105469,36.0,36.290000915527344
+2019-11-11,36.65999984741211,35.58000183105469,36.310001373291016
+2019-11-12,37.130001068115234,36.400001525878906,36.709999084472656
+2019-11-13,37.959999084472656,36.58000183105469,37.52000045776367
+2019-11-14,38.5,37.36000061035156,38.34999847412109
+2019-11-15,39.369998931884766,38.34000015258789,38.560001373291016
+2019-11-18,39.9900016784668,38.59999847412109,39.880001068115234
+2019-11-19,41.790000915527344,39.68999862670898,41.290000915527344
+2019-11-20,41.75,40.06999969482422,40.97999954223633
+2019-11-21,40.709999084472656,38.63999938964844,39.52000045776367
+2019-11-22,39.88999938964844,38.18999862670898,39.150001525878906
+2019-11-25,40.16999816894531,39.4900016784668,39.790000915527344
+2019-11-26,39.47999954223633,38.810001373291016,38.9900016784668
+2019-11-27,39.7599983215332,39.06999969482422,39.40999984741211
+2019-11-29,39.52000045776367,39.02000045776367,39.150001525878906
+2019-12-02,39.40999984741211,38.43999862670898,38.72999954223633
+2019-12-03,38.93000030517578,37.150001525878906,38.900001525878906
+2019-12-04,39.81999969482422,39.130001068115234,39.68999862670898
+2019-12-05,40.220001220703125,39.54999923706055,39.619998931884766
+2019-12-06,40.18999862670898,39.560001373291016,39.630001068115234
+2019-12-09,39.84000015258789,38.90999984741211,38.93000030517578
+2019-12-10,39.72999954223633,38.81999969482422,39.43999862670898
+2019-12-11,39.61000061035156,39.040000915527344,39.470001220703125
+2019-12-12,42.619998931884766,39.25,42.59000015258789
+2019-12-13,42.95000076293945,41.060001373291016,41.150001525878906
+2019-12-16,42.97999954223633,41.72999954223633,42.34999847412109
+2019-12-17,43.11000061035156,42.150001525878906,42.77000045776367
+2019-12-18,43.060001373291016,42.2400016784668,42.29999923706055
+2019-12-19,43.34000015258789,42.59999847412109,42.83000183105469
+2019-12-20,44.2599983215332,43.2599983215332,44.150001525878906
+2019-12-23,45.630001068115234,44.38999938964844,45.459999084472656
+2019-12-24,46.61000061035156,45.77000045776367,46.540000915527344
+2019-12-26,47.310001373291016,45.65999984741211,46.630001068115234
+2019-12-27,46.880001068115234,45.97999954223633,46.18000030517578
+2019-12-30,46.16999816894531,44.65999984741211,45.52000045776367
+2019-12-31,46.09000015258789,44.91999816894531,45.86000061035156
+2020-01-02,49.25,46.630001068115234,49.09999847412109
+2020-01-03,49.38999938964844,47.540000915527344,48.59999847412109
+",
+US,technical,"For Verisign's SuperTrend on August 29, 2025, what is the upper value? (Standard parameters: period 10, multiplier 3; Require 5n data points to warm up) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",284.5996,easy,channel,"Mid_t = (H_t + L_t) / 2; BasicUpper_t = Mid_t + m * ATR_n^{Wilder}; BasicLower_t = Mid_t - m * ATR_n^{Wilder}; in long state Lower_t = max(BasicLower_t, Lower_{t-1}), flip to short if C_t < Lower_t; in short state Upper_t = min(BasicUpper_t, Upper_{t-1}), flip to long if C_t > Upper_t","date,high,low,close
+2025-06-18,284.44000244140625,279.760009765625,281.1600036621094
+2025-06-20,283.0400085449219,278.3599853515625,280.7300109863281
+2025-06-23,283.8599853515625,279.1000061035156,282.8900146484375
+2025-06-24,285.2099914550781,280.7699890136719,285.0299987792969
+2025-06-25,284.6000061035156,281.9100036621094,282.44000244140625
+2025-06-26,284.2200012207031,280.7900085449219,283.2099914550781
+2025-06-27,288.3399963378906,282.0,287.67999267578125
+2025-06-30,290.3800048828125,286.8699951171875,288.79998779296875
+2025-07-01,290.3699951171875,283.6499938964844,289.0799865722656
+2025-07-02,287.510009765625,277.0,282.0199890136719
+2025-07-03,286.57000732421875,281.9700012207031,286.32000732421875
+2025-07-07,289.0,285.989990234375,287.489990234375
+2025-07-08,287.3099975585937,281.1000061035156,286.8500061035156
+2025-07-09,291.5400085449219,284.79998779296875,289.760009765625
+2025-07-10,289.9599914550781,284.20001220703125,285.2900085449219
+2025-07-11,284.6300048828125,280.44000244140625,281.3900146484375
+2025-07-14,285.0,281.0,282.8099975585937
+2025-07-15,282.8399963378906,280.239990234375,281.489990234375
+2025-07-16,283.3999938964844,278.7099914550781,283.2699890136719
+2025-07-17,283.2900085449219,279.29998779296875,280.8599853515625
+2025-07-18,283.67999267578125,279.1600036621094,283.42999267578125
+2025-07-21,285.739990234375,281.2099914550781,284.1700134277344
+2025-07-22,288.3699951171875,283.2900085449219,287.9200134277344
+2025-07-23,289.95001220703125,283.8900146484375,289.3599853515625
+2025-07-24,289.989990234375,286.3900146484375,286.6700134277344
+2025-07-25,308.0,288.1199951171875,305.7900085449219
+2025-07-28,310.6000061035156,304.8399963378906,305.9800109863281
+2025-07-29,288.0,273.260009765625,277.4700012207031
+2025-07-30,277.25,263.94000244140625,266.9800109863281
+2025-07-31,269.1199951171875,264.7099914550781,268.8699951171875
+2025-08-01,268.8299865722656,264.04998779296875,265.3699951171875
+2025-08-04,268.70001220703125,262.5599975585937,268.2900085449219
+2025-08-05,270.5,263.9200134277344,268.2300109863281
+2025-08-06,273.3800048828125,266.1199951171875,273.2200012207031
+2025-08-07,275.4100036621094,270.6700134277344,273.989990234375
+2025-08-08,275.9200134277344,269.8299865722656,271.8900146484375
+2025-08-11,273.7799987792969,267.0400085449219,267.4200134277344
+2025-08-12,267.4200134277344,261.8800048828125,263.0199890136719
+2025-08-13,268.8900146484375,261.2300109863281,267.5
+2025-08-14,267.70001220703125,264.29998779296875,266.82000732421875
+2025-08-15,270.8699951171875,266.0,269.8900146484375
+2025-08-18,270.8500061035156,266.1000061035156,267.6499938964844
+2025-08-19,269.6000061035156,266.2200012207031,269.2300109863281
+2025-08-20,271.8099975585937,268.2900085449219,271.4200134277344
+2025-08-21,273.17999267578125,270.010009765625,272.239990234375
+2025-08-22,273.5,267.8699951171875,269.54998779296875
+2025-08-25,271.6400146484375,266.17999267578125,266.3900146484375
+2025-08-26,270.25,265.8699951171875,269.989990234375
+2025-08-27,273.0,270.4700012207031,272.3699951171875
+2025-08-28,273.8099975585937,271.4599914550781,272.0
+2025-08-29,273.3800048828125,270.9700012207031,273.3699951171875
+",
+US,technical,"What is the value of the middle of SuperTrend for Deckers Brands on May 15, 2025? (Standard parameters: period 10, multiplier 3; Require 5n data points to warm up) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",126.325,easy,channel,"Mid_t = (H_t + L_t) / 2; BasicUpper_t = Mid_t + m * ATR_n^{Wilder}; BasicLower_t = Mid_t - m * ATR_n^{Wilder}; in long state Lower_t = max(BasicLower_t, Lower_{t-1}), flip to short if C_t < Lower_t; in short state Upper_t = min(BasicUpper_t, Upper_{t-1}), flip to long if C_t > Upper_t","date,high,low,close
+2025-03-05,137.5,134.25999450683594,136.08999633789062
+2025-03-06,137.22999572753906,130.75999450683594,131.92999267578125
+2025-03-07,131.0,122.62000274658205,126.72000122070312
+2025-03-10,124.8000030517578,119.3000030517578,121.11000061035156
+2025-03-11,124.79000091552734,119.80999755859376,120.52999877929688
+2025-03-12,126.3499984741211,121.25,121.58000183105467
+2025-03-13,121.56999969482422,115.05999755859376,117.04000091552734
+2025-03-14,120.38999938964844,117.16999816894533,118.68000030517578
+2025-03-17,118.97000122070312,115.5,117.4800033569336
+2025-03-18,117.95999908447266,115.0,115.3000030517578
+2025-03-19,119.97000122070312,115.98999786376952,119.0500030517578
+2025-03-20,119.83000183105467,115.5999984741211,115.66999816894533
+2025-03-21,118.33000183105467,112.0999984741211,117.86000061035156
+2025-03-24,125.36000061035156,120.36000061035156,124.68000030517578
+2025-03-25,125.70999908447266,122.58000183105467,122.97000122070312
+2025-03-26,122.79000091552734,117.54000091552734,118.16000366210938
+2025-03-27,119.47000122070312,115.22000122070312,116.9499969482422
+2025-03-28,115.31999969482422,110.75,111.55999755859376
+2025-03-31,112.11000061035156,107.37000274658205,111.80999755859376
+2025-04-01,114.62999725341795,111.0999984741211,113.3499984741211
+2025-04-02,119.19000244140624,111.44000244140624,117.9800033569336
+2025-04-03,102.87000274658205,96.8000030517578,100.87999725341795
+2025-04-04,108.61000061035156,93.72000122070312,106.0199966430664
+2025-04-07,109.29000091552734,99.0,106.12999725341795
+2025-04-08,110.73999786376952,100.37000274658205,101.87999725341795
+2025-04-09,118.63999938964844,101.04000091552734,116.05999755859376
+2025-04-10,113.41999816894533,106.33000183105467,109.62999725341795
+2025-04-11,109.86000061035156,105.54000091552734,109.0500030517578
+2025-04-14,113.3000030517578,105.7300033569336,107.1500015258789
+2025-04-15,107.1999969482422,103.1500015258789,104.18000030517578
+2025-04-16,105.1500015258789,101.69000244140624,103.0199966430664
+2025-04-17,105.94000244140624,103.0199966430664,105.66999816894533
+2025-04-21,104.27999877929688,100.26000213623048,103.5500030517578
+2025-04-22,107.5199966430664,104.16000366210938,106.41999816894533
+2025-04-23,113.0,106.2699966430664,106.66000366210938
+2025-04-24,112.33000183105467,106.9800033569336,110.6500015258789
+2025-04-25,110.56999969482422,108.33000183105467,109.19000244140624
+2025-04-28,110.51000213623048,107.22000122070312,109.1500015258789
+2025-04-29,112.13999938964844,108.4000015258789,111.69000244140624
+2025-04-30,111.5199966430664,108.04000091552734,110.83000183105467
+2025-05-01,112.70999908447266,110.5,111.12999725341795
+2025-05-02,118.0,113.87000274658205,116.94000244140624
+2025-05-05,120.58000183105467,117.86000061035156,118.33000183105467
+2025-05-06,118.4499969482422,115.0999984741211,117.06999969482422
+2025-05-07,121.41999816894533,117.55999755859376,120.86000061035156
+2025-05-08,127.66999816894533,123.51000213623048,125.62000274658205
+2025-05-09,125.73999786376952,120.88999938964844,121.06999969482422
+2025-05-12,133.42999267578125,123.83000183105467,126.08000183105467
+2025-05-13,130.41000366210938,127.37000274658205,129.3699951171875
+2025-05-14,131.52000427246094,126.6999969482422,127.36000061035156
+2025-05-15,127.48999786376952,125.16000366210938,126.94000244140624
+",
+US,technical,"Calculate the SuperTrend middle channel value for Corning Inc. on December 23, 2021. (Standard parameters: period 10, multiplier 3; Require 5n data points to warm up) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",36.74,easy,channel,"Mid_t = (H_t + L_t) / 2; BasicUpper_t = Mid_t + m * ATR_n^{Wilder}; BasicLower_t = Mid_t - m * ATR_n^{Wilder}; in long state Lower_t = max(BasicLower_t, Lower_{t-1}), flip to short if C_t < Lower_t; in short state Upper_t = min(BasicUpper_t, Upper_{t-1}), flip to long if C_t > Upper_t","date,high,low,close
+2021-10-13,36.91999816894531,36.22999954223633,36.84999847412109
+2021-10-14,37.88999938964844,37.09999847412109,37.68999862670898
+2021-10-15,38.2599983215332,37.75,37.95000076293945
+2021-10-18,38.0099983215332,37.43000030517578,37.81999969482422
+2021-10-19,38.18999862670898,37.720001220703125,37.90999984741211
+2021-10-20,38.5099983215332,37.86000061035156,38.33000183105469
+2021-10-21,38.4900016784668,37.9900016784668,38.459999084472656
+2021-10-22,38.650001525878906,37.93000030517578,38.22999954223633
+2021-10-25,38.900001525878906,38.16999816894531,38.61000061035156
+2021-10-26,36.93000030517578,36.02999877929688,36.58000183105469
+2021-10-27,36.70000076293945,35.2400016784668,35.38999938964844
+2021-10-28,35.95000076293945,35.380001068115234,35.63999938964844
+2021-10-29,36.0099983215332,35.40999984741211,35.56999969482422
+2021-11-01,36.59000015258789,35.529998779296875,36.43999862670898
+2021-11-02,37.02999877929688,36.33000183105469,36.959999084472656
+2021-11-03,37.2400016784668,36.7400016784668,37.060001373291016
+2021-11-04,37.13999938964844,36.41999816894531,36.66999816894531
+2021-11-05,38.54999923706055,36.88999938964844,38.34000015258789
+2021-11-08,38.81999969482422,38.150001525878906,38.470001220703125
+2021-11-09,38.93999862670898,38.18999862670898,38.220001220703125
+2021-11-10,38.27999877929688,37.65999984741211,37.869998931884766
+2021-11-11,38.58000183105469,37.81999969482422,38.2599983215332
+2021-11-12,39.27999877929688,38.27999877929688,39.119998931884766
+2021-11-15,39.2400016784668,38.59999847412109,38.70000076293945
+2021-11-16,39.04999923706055,38.56999969482422,38.650001525878906
+2021-11-17,38.68999862670898,38.02000045776367,38.20000076293945
+2021-11-18,38.38999938964844,37.83000183105469,38.33000183105469
+2021-11-19,38.31999969482422,37.63999938964844,37.650001525878906
+2021-11-22,39.20000076293945,37.709999084472656,38.709999084472656
+2021-11-23,39.4900016784668,38.709999084472656,39.43000030517578
+2021-11-24,39.4900016784668,38.97999954223633,39.040000915527344
+2021-11-26,38.56999969482422,37.68000030517578,37.959999084472656
+2021-11-29,38.880001068115234,38.02999877929688,38.459999084472656
+2021-11-30,38.27999877929688,36.97999954223633,37.09000015258789
+2021-12-01,38.40999984741211,36.83000183105469,36.84999847412109
+2021-12-02,37.77999877929688,36.90999984741211,37.52999877929688
+2021-12-03,37.83000183105469,36.869998931884766,37.130001068115234
+2021-12-06,38.02000045776367,36.93000030517578,37.65999984741211
+2021-12-07,38.63999938964844,37.93000030517578,38.22999954223633
+2021-12-08,38.52000045776367,38.060001373291016,38.31999969482422
+2021-12-09,38.470001220703125,37.52999877929688,37.54999923706055
+2021-12-10,38.16999816894531,37.43999862670898,37.61000061035156
+2021-12-13,37.52000045776367,36.47999954223633,36.93000030517578
+2021-12-14,37.29999923706055,36.68999862670898,36.77999877929688
+2021-12-15,37.27999877929688,36.619998931884766,37.20000076293945
+2021-12-16,37.70000076293945,37.08000183105469,37.09999847412109
+2021-12-17,37.119998931884766,36.43000030517578,36.68999862670898
+2021-12-20,36.220001220703125,35.369998931884766,36.09999847412109
+2021-12-21,36.380001068115234,35.7599983215332,36.2599983215332
+2021-12-22,36.59999847412109,36.18000030517578,36.380001068115234
+2021-12-23,37.02000045776367,36.459999084472656,36.75
+",
+US,technical,"What is the 5-day period Simple Moving Average close price of S&P Global on February 28, 2023? (Unit: USD) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",344.084,easy,moving average,SMA_n = 1 / n * \sum_{i=0}^{n-1} P_{t-i},"date,close
+2023-02-22,346.20001220703125
+2023-02-23,348.1300048828125
+2023-02-24,343.3800048828125
+2023-02-27,341.510009765625
+2023-02-28,341.20001220703125
+",
+US,technical,"On June 02, 2023, what is the 10-day Simple Moving Average close price of Howmet Aerospace? (Unit: USD) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",43.864,easy,moving average,SMA_n = 1 / n * \sum_{i=0}^{n-1} P_{t-i},"date,close
+2023-05-19,44.959999084472656
+2023-05-22,44.81999969482422
+2023-05-23,43.77000045776367
+2023-05-24,43.2400016784668
+2023-05-25,43.2599983215332
+2023-05-26,43.5
+2023-05-30,43.47999954223633
+2023-05-31,42.75
+2023-06-01,43.72999954223633
+2023-06-02,45.130001068115234
+",
+US,technical,"For the 20-day Simple Moving Average close price, what is the value for Occidental Petroleum on January 14, 2022? (Unit: USD) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",31.072,easy,moving average,SMA_n = 1 / n * \sum_{i=0}^{n-1} P_{t-i},"date,close
+2021-12-17,28.040000915527344
+2021-12-20,26.979999542236328
+2021-12-21,28.600000381469727
+2021-12-22,28.920000076293945
+2021-12-23,28.850000381469727
+2021-12-27,29.63999938964844
+2021-12-28,29.479999542236328
+2021-12-29,29.26000022888184
+2021-12-30,28.96999931335449
+2021-12-31,28.989999771118164
+2022-01-03,31.059999465942383
+2022-01-04,33.380001068115234
+2022-01-05,31.809999465942383
+2022-01-06,32.7599983215332
+2022-01-07,33.209999084472656
+2022-01-10,32.380001068115234
+2022-01-11,34.70000076293945
+2022-01-12,34.75
+2022-01-13,34.150001525878906
+2022-01-14,35.5099983215332
+",
+US,technical,"What is Hasbro's 30-day Simple Moving Average close price on June 30, 2022? (Unit: USD) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",85.1077,easy,moving average,SMA_n = 1 / n * \sum_{i=0}^{n-1} P_{t-i},"date,close
+2022-05-18,90.7300033569336
+2022-05-19,86.76000213623047
+2022-05-20,84.69999694824219
+2022-05-23,84.95999908447266
+2022-05-24,81.61000061035156
+2022-05-25,83.56999969482422
+2022-05-26,85.98999786376953
+2022-05-27,87.08000183105469
+2022-05-31,89.75
+2022-06-01,89.44999694824219
+2022-06-02,89.87000274658203
+2022-06-03,88.79000091552734
+2022-06-06,88.56999969482422
+2022-06-07,88.81999969482422
+2022-06-08,88.33000183105469
+2022-06-09,87.29000091552734
+2022-06-10,84.91999816894531
+2022-06-13,81.2699966430664
+2022-06-14,80.75
+2022-06-15,81.76000213623047
+2022-06-16,79.01000213623047
+2022-06-17,80.11000061035156
+2022-06-21,82.45999908447266
+2022-06-22,82.2699966430664
+2022-06-23,83.05999755859375
+2022-06-24,85.73999786376953
+2022-06-27,85.6500015258789
+2022-06-28,84.19000244140625
+2022-06-29,83.88999938964844
+2022-06-30,81.87999725341797
+",
+US,technical,"Calculate the 60-day period Simple Moving Average close price for Paccar on August 05, 2020. (Unit: USD) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",50.8043,easy,moving average,SMA_n = 1 / n * \sum_{i=0}^{n-1} P_{t-i},"date,close
+2020-05-12,44.560001373291016
+2020-05-13,44.0
+2020-05-14,44.40666580200195
+2020-05-15,44.5533332824707
+2020-05-18,46.64666748046875
+2020-05-19,45.70000076293945
+2020-05-20,46.02000045776367
+2020-05-21,45.459999084472656
+2020-05-22,45.61333465576172
+2020-05-26,48.36000061035156
+2020-05-27,50.040000915527344
+2020-05-28,49.34000015258789
+2020-05-29,49.2400016784668
+2020-06-01,48.74666595458984
+2020-06-02,48.95333480834961
+2020-06-03,49.75333404541016
+2020-06-04,50.459999084472656
+2020-06-05,51.96666717529297
+2020-06-08,52.5533332824707
+2020-06-09,52.633331298828125
+2020-06-10,51.20000076293945
+2020-06-11,48.38666534423828
+2020-06-12,48.77999877929688
+2020-06-15,49.14666748046875
+2020-06-16,49.67333221435547
+2020-06-17,49.53333282470703
+2020-06-18,49.64666748046875
+2020-06-19,49.973331451416016
+2020-06-22,49.81333160400391
+2020-06-23,49.8466682434082
+2020-06-24,48.3466682434082
+2020-06-25,48.83333206176758
+2020-06-26,48.29333114624024
+2020-06-29,49.119998931884766
+2020-06-30,49.900001525878906
+2020-07-01,49.5
+2020-07-02,50.45333480834961
+2020-07-06,51.43999862670898
+2020-07-07,50.51333236694336
+2020-07-08,50.30666732788086
+2020-07-09,49.619998931884766
+2020-07-10,50.15999984741211
+2020-07-13,50.426666259765625
+2020-07-14,51.36666870117188
+2020-07-15,52.47999954223633
+2020-07-16,52.96666717529297
+2020-07-17,52.95333480834961
+2020-07-20,53.119998931884766
+2020-07-21,55.77333450317383
+2020-07-22,56.83333206176758
+2020-07-23,57.37333297729492
+2020-07-24,57.15999984741211
+2020-07-27,57.27999877929688
+2020-07-28,56.96666717529297
+2020-07-29,57.32666778564453
+2020-07-30,56.40666580200195
+2020-07-31,56.720001220703125
+2020-08-03,57.073333740234375
+2020-08-04,56.606666564941406
+2020-08-05,57.93333435058594
+",
+US,technical,"What is the 20-day period Weighted Moving Average close price of General Dynamics on July 21, 2020? (Unit: USD) (Weights are 1, 2, ..., n) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",145.727,easy,moving average,WMA_n = \sum_{i=0}^{n-1} (n-i) * P_{t-i} / \sum_{j=1}^{n} j,"date,close
+2020-06-23,152.75
+2020-06-24,146.4499969482422
+2020-06-25,146.9600067138672
+2020-06-26,146.0500030517578
+2020-06-29,149.33999633789062
+2020-06-30,149.4600067138672
+2020-07-01,147.13999938964844
+2020-07-02,147.3000030517578
+2020-07-06,148.47000122070312
+2020-07-07,145.17999267578125
+2020-07-08,143.89999389648438
+2020-07-09,138.02000427246094
+2020-07-10,141.97000122070312
+2020-07-13,142.82000732421875
+2020-07-14,143.36000061035156
+2020-07-15,145.7899932861328
+2020-07-16,148.50999450683594
+2020-07-17,148.91000366210938
+2020-07-20,145.4499969482422
+2020-07-21,147.80999755859375
+",
+US,technical,"On November 01, 2023, what is the 5-day Weighted Moving Average close price of Tapestry? (Unit: USD) (Weights are 1, 2, ..., n) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",27.3713,easy,moving average,WMA_n = \sum_{i=0}^{n-1} (n-i) * P_{t-i} / \sum_{j=1}^{n} j,"date,close
+2023-10-26,28.0
+2023-10-27,27.600000381469727
+2023-10-30,28.059999465942383
+2023-10-31,27.559999465942383
+2023-11-01,26.59000015258789
+",
+US,technical,"For the 5-day Weighted Moving Average close price, what is the value for Danaher Corporation on June 09, 2020? (Unit: USD) (Weights are 1, 2, ..., n) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",151.3121,easy,moving average,WMA_n = \sum_{i=0}^{n-1} (n-i) * P_{t-i} / \sum_{j=1}^{n} j,"date,close
+2020-06-03,150.39007568359375
+2020-06-04,149.6365203857422
+2020-06-05,153.57269287109375
+2020-06-08,152.04786682128906
+2020-06-09,150.2216339111328
+",
+US,technical,"What is Citizens Financial Group's 60-day Weighted Moving Average close price on November 15, 2023? (Unit: USD) (Weights are 1, 2, ..., n) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",25.606,easy,moving average,WMA_n = \sum_{i=0}^{n-1} (n-i) * P_{t-i} / \sum_{j=1}^{n} j,"date,close
+2023-08-23,26.920000076293945
+2023-08-24,27.07999992370605
+2023-08-25,26.84000015258789
+2023-08-28,27.3700008392334
+2023-08-29,28.299999237060547
+2023-08-30,27.989999771118164
+2023-08-31,28.1299991607666
+2023-09-01,28.6299991607666
+2023-09-05,28.3799991607666
+2023-09-06,27.68000030517578
+2023-09-07,26.940000534057617
+2023-09-08,27.3700008392334
+2023-09-11,27.6200008392334
+2023-09-12,28.3700008392334
+2023-09-13,27.440000534057617
+2023-09-14,28.270000457763672
+2023-09-15,27.959999084472656
+2023-09-18,27.399999618530277
+2023-09-19,27.459999084472656
+2023-09-20,27.520000457763672
+2023-09-21,26.96999931335449
+2023-09-22,26.559999465942383
+2023-09-25,26.6299991607666
+2023-09-26,25.989999771118164
+2023-09-27,25.76000022888184
+2023-09-28,26.350000381469727
+2023-09-29,26.799999237060547
+2023-10-02,25.90999984741211
+2023-10-03,25.450000762939453
+2023-10-04,25.63999938964844
+2023-10-05,25.790000915527344
+2023-10-06,26.18000030517578
+2023-10-09,26.32999992370605
+2023-10-10,26.809999465942383
+2023-10-11,26.75
+2023-10-12,26.36000061035156
+2023-10-13,25.709999084472656
+2023-10-16,26.51000022888184
+2023-10-17,27.100000381469727
+2023-10-18,25.59000015258789
+2023-10-19,24.8799991607666
+2023-10-20,23.76000022888184
+2023-10-23,23.57999992370605
+2023-10-24,23.57999992370605
+2023-10-25,23.46999931335449
+2023-10-26,23.739999771118164
+2023-10-27,22.8700008392334
+2023-10-30,23.38999938964844
+2023-10-31,23.43000030517578
+2023-11-01,23.170000076293945
+2023-11-02,24.899999618530277
+2023-11-03,26.170000076293945
+2023-11-06,25.84000015258789
+2023-11-07,25.809999465942383
+2023-11-08,25.709999084472656
+2023-11-09,25.020000457763672
+2023-11-10,25.170000076293945
+2023-11-13,24.950000762939453
+2023-11-14,26.57999992370605
+2023-11-15,27.31999969482422
+",
+US,technical,"Calculate the 10-day period Weighted Moving Average close price for Clorox on August 15, 2025. (Unit: USD) (Weights are 1, 2, ..., n) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",123.1167,easy,moving average,WMA_n = \sum_{i=0}^{n-1} (n-i) * P_{t-i} / \sum_{j=1}^{n} j,"date,close
+2025-08-04,124.19000244140624
+2025-08-05,125.37000274658205
+2025-08-06,125.5
+2025-08-07,126.08000183105467
+2025-08-08,124.87000274658205
+2025-08-11,122.08999633789062
+2025-08-12,122.81999969482422
+2025-08-13,122.88999938964844
+2025-08-14,121.58000183105467
+2025-08-15,122.16999816894533
+",
+US,technical,"What is the 10-day period Exponential Moving Average close price of International Paper on October 07, 2022? (Unit: USD) (Smoothing factor alpha = 2 / (n + 1); Require 4n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",32.8065,easy,moving average,"EMA_t = \alpha * P_t + (1 - \alpha) * EMA_{t-1}, \quad \alpha = 2 / (n + 1)","date,close
+2022-08-11,43.79999923706055
+2022-08-12,44.5099983215332
+2022-08-15,44.4900016784668
+2022-08-16,44.97999954223633
+2022-08-17,44.400001525878906
+2022-08-18,44.13999938964844
+2022-08-19,43.59000015258789
+2022-08-22,42.5
+2022-08-23,42.77999877929688
+2022-08-24,42.61000061035156
+2022-08-25,43.869998931884766
+2022-08-26,42.619998931884766
+2022-08-29,42.150001525878906
+2022-08-30,42.09999847412109
+2022-08-31,41.619998931884766
+2022-09-01,41.310001373291016
+2022-09-02,40.93000030517578
+2022-09-06,40.33000183105469
+2022-09-07,41.060001373291016
+2022-09-08,41.56999969482422
+2022-09-09,41.720001220703125
+2022-09-12,42.16999816894531
+2022-09-13,40.4900016784668
+2022-09-14,39.68000030517578
+2022-09-15,39.68000030517578
+2022-09-16,35.22999954223633
+2022-09-19,36.52000045776367
+2022-09-20,34.83000183105469
+2022-09-21,34.2599983215332
+2022-09-22,33.810001373291016
+2022-09-23,33.099998474121094
+2022-09-26,31.770000457763672
+2022-09-27,31.899999618530277
+2022-09-28,32.709999084472656
+2022-09-29,32.09000015258789
+2022-09-30,31.700000762939453
+2022-10-03,32.540000915527344
+2022-10-04,33.25
+2022-10-05,32.869998931884766
+2022-10-06,32.20000076293945
+2022-10-07,31.559999465942383
+",
+US,technical,"On August 29, 2024, what is the 20-day Exponential Moving Average close price of Fifth Third Bancorp? (Unit: USD) (Smoothing factor alpha = 2 / (n + 1); Require 4n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",40.9139,easy,moving average,"EMA_t = \alpha * P_t + (1 - \alpha) * EMA_{t-1}, \quad \alpha = 2 / (n + 1)","date,close
+2024-05-06,38.0
+2024-05-07,38.02999877929688
+2024-05-08,38.47999954223633
+2024-05-09,38.650001525878906
+2024-05-10,38.77999877929688
+2024-05-13,38.20000076293945
+2024-05-14,38.470001220703125
+2024-05-15,38.97999954223633
+2024-05-16,38.59999847412109
+2024-05-17,38.560001373291016
+2024-05-20,37.7599983215332
+2024-05-21,38.040000915527344
+2024-05-22,37.59000015258789
+2024-05-23,36.81999969482422
+2024-05-24,37.25
+2024-05-28,36.68000030517578
+2024-05-29,36.2599983215332
+2024-05-30,36.75
+2024-05-31,37.41999816894531
+2024-06-03,36.84999847412109
+2024-06-04,36.16999816894531
+2024-06-05,36.380001068115234
+2024-06-06,36.11000061035156
+2024-06-07,36.130001068115234
+2024-06-10,35.619998931884766
+2024-06-11,35.279998779296875
+2024-06-12,36.04999923706055
+2024-06-13,35.61000061035156
+2024-06-14,35.220001220703125
+2024-06-17,35.650001525878906
+2024-06-18,35.97999954223633
+2024-06-20,35.91999816894531
+2024-06-21,36.060001373291016
+2024-06-24,36.63999938964844
+2024-06-25,35.90999984741211
+2024-06-26,35.93000030517578
+2024-06-27,35.849998474121094
+2024-06-28,36.4900016784668
+2024-07-01,36.27000045776367
+2024-07-02,36.97999954223633
+2024-07-03,36.77999877929688
+2024-07-05,36.0099983215332
+2024-07-08,36.22999954223633
+2024-07-09,36.209999084472656
+2024-07-10,36.84999847412109
+2024-07-11,38.2599983215332
+2024-07-12,38.47999954223633
+2024-07-15,39.15999984741211
+2024-07-16,40.220001220703125
+2024-07-17,41.0
+2024-07-18,40.22999954223633
+2024-07-19,40.9900016784668
+2024-07-22,40.86000061035156
+2024-07-23,41.2599983215332
+2024-07-24,40.97999954223633
+2024-07-25,41.83000183105469
+2024-07-26,42.27000045776367
+2024-07-29,41.9900016784668
+2024-07-30,42.2599983215332
+2024-07-31,42.34000015258789
+2024-08-01,40.72999954223633
+2024-08-02,39.54999923706055
+2024-08-05,39.22999954223633
+2024-08-06,39.369998931884766
+2024-08-07,39.02000045776367
+2024-08-08,39.65999984741211
+2024-08-09,39.650001525878906
+2024-08-12,38.91999816894531
+2024-08-13,39.41999816894531
+2024-08-14,39.709999084472656
+2024-08-15,39.9900016784668
+2024-08-16,40.68000030517578
+2024-08-19,41.06999969482422
+2024-08-20,40.63999938964844
+2024-08-21,40.68000030517578
+2024-08-22,41.0
+2024-08-23,42.119998931884766
+2024-08-26,41.93999862670898
+2024-08-27,41.709999084472656
+2024-08-28,42.20000076293945
+2024-08-29,42.18999862670898
+",
+US,technical,"For the 30-day Exponential Moving Average close price, what is the value for Block on December 03, 2021? (Unit: USD) (Smoothing factor alpha = 2 / (n + 1); Require 4n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",223.7432,easy,moving average,"EMA_t = \alpha * P_t + (1 - \alpha) * EMA_{t-1}, \quad \alpha = 2 / (n + 1)","date,close
+2021-06-15,227.75
+2021-06-16,225.1100006103516
+2021-06-17,236.1300048828125
+2021-06-18,237.0500030517578
+2021-06-21,233.88999938964844
+2021-06-22,235.97000122070312
+2021-06-23,238.6999969482422
+2021-06-24,244.1499938964844
+2021-06-25,239.94000244140625
+2021-06-28,246.6000061035156
+2021-06-29,248.8699951171875
+2021-06-30,243.8000030517578
+2021-07-01,241.8500061035156
+2021-07-02,241.0800018310547
+2021-07-06,246.6999969482422
+2021-07-07,244.63999938964844
+2021-07-08,235.8999938964844
+2021-07-09,241.88999938964844
+2021-07-12,243.3500061035156
+2021-07-13,241.42999267578125
+2021-07-14,239.0
+2021-07-15,235.16000366210935
+2021-07-16,237.5200042724609
+2021-07-19,233.69000244140625
+2021-07-20,246.47000122070312
+2021-07-21,257.25
+2021-07-22,260.5899963378906
+2021-07-23,264.0
+2021-07-26,261.989990234375
+2021-07-27,251.72999572753903
+2021-07-28,258.6099853515625
+2021-07-29,255.27999877929688
+2021-07-30,247.25999450683597
+2021-08-02,272.3800048828125
+2021-08-03,269.489990234375
+2021-08-04,266.4200134277344
+2021-08-05,281.8099975585937
+2021-08-06,275.1000061035156
+2021-08-09,279.7300109863281
+2021-08-10,273.0799865722656
+2021-08-11,271.0899963378906
+2021-08-12,268.5899963378906
+2021-08-13,267.8800048828125
+2021-08-16,263.3999938964844
+2021-08-17,260.8800048828125
+2021-08-18,259.6600036621094
+2021-08-19,257.3500061035156
+2021-08-20,263.04998779296875
+2021-08-23,270.44000244140625
+2021-08-24,270.1700134277344
+2021-08-25,267.57000732421875
+2021-08-26,262.1300048828125
+2021-08-27,268.010009765625
+2021-08-30,271.9200134277344
+2021-08-31,268.07000732421875
+2021-09-01,268.25
+2021-09-02,265.94000244140625
+2021-09-03,269.739990234375
+2021-09-07,265.8299865722656
+2021-09-08,254.72000122070312
+2021-09-09,251.5399932861328
+2021-09-10,247.8999938964844
+2021-09-13,246.67999267578125
+2021-09-14,247.0500030517578
+2021-09-15,248.8000030517578
+2021-09-16,255.08999633789065
+2021-09-17,255.7899932861328
+2021-09-20,250.22999572753903
+2021-09-21,251.3000030517578
+2021-09-22,261.07000732421875
+2021-09-23,266.7200012207031
+2021-09-24,262.5
+2021-09-27,258.1099853515625
+2021-09-28,242.6999969482422
+2021-09-29,236.0399932861328
+2021-09-30,239.83999633789065
+2021-10-01,239.2899932861328
+2021-10-04,226.25
+2021-10-05,235.97999572753903
+2021-10-06,239.1199951171875
+2021-10-07,249.16000366210935
+2021-10-08,238.4900054931641
+2021-10-11,232.3300018310547
+2021-10-12,237.41000366210935
+2021-10-13,242.72999572753903
+2021-10-14,247.41000366210935
+2021-10-15,249.0
+2021-10-18,252.1999969482422
+2021-10-19,254.41000366210935
+2021-10-20,255.3500061035156
+2021-10-21,265.0799865722656
+2021-10-22,253.05999755859372
+2021-10-25,262.0
+2021-10-26,263.3900146484375
+2021-10-27,253.0200042724609
+2021-10-28,261.3299865722656
+2021-10-29,254.5
+2021-11-01,255.0399932861328
+2021-11-02,249.00999450683597
+2021-11-03,252.47999572753903
+2021-11-04,247.4600067138672
+2021-11-05,237.3800048828125
+2021-11-08,236.7700042724609
+2021-11-09,230.77999877929688
+2021-11-10,227.2100067138672
+2021-11-11,226.50999450683597
+2021-11-12,227.3000030517578
+2021-11-15,233.0200042724609
+2021-11-16,238.47000122070312
+2021-11-17,231.8500061035156
+2021-11-18,230.3500061035156
+2021-11-19,225.13999938964844
+2021-11-22,211.30999755859372
+2021-11-23,210.5500030517578
+2021-11-24,215.6499938964844
+2021-11-26,212.0800018310547
+2021-11-29,212.8699951171875
+2021-11-30,208.3300018310547
+2021-12-01,194.5
+2021-12-02,192.1499938964844
+2021-12-03,181.30999755859372
+",
+US,technical,"What is Royal Caribbean Group's 5-day Exponential Moving Average close price on December 12, 2025? (Unit: USD) (Smoothing factor alpha = 2 / (n + 1); Require 4n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",269.2351,easy,moving average,"EMA_t = \alpha * P_t + (1 - \alpha) * EMA_{t-1}, \quad \alpha = 2 / (n + 1)","date,close
+2025-11-13,255.75999450683597
+2025-11-14,252.8699951171875
+2025-11-17,246.7100067138672
+2025-11-18,251.4199981689453
+2025-11-19,256.0
+2025-11-20,252.72000122070312
+2025-11-21,264.0899963378906
+2025-11-24,255.57000732421875
+2025-11-25,266.4100036621094
+2025-11-26,265.7099914550781
+2025-11-28,266.25
+2025-12-01,266.6000061035156
+2025-12-02,265.0799865722656
+2025-12-03,265.7699890136719
+2025-12-04,259.2699890136719
+2025-12-05,257.6600036621094
+2025-12-08,252.41000366210935
+2025-12-09,248.32000732421875
+2025-12-10,260.3800048828125
+2025-12-11,279.70001220703125
+2025-12-12,278.8599853515625
+",
+US,technical,"Calculate the 10-day period Exponential Moving Average close price for Tesla on May 11, 2020. (Unit: USD) (Smoothing factor alpha = 2 / (n + 1); Require 4n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",51.7888,easy,moving average,"EMA_t = \alpha * P_t + (1 - \alpha) * EMA_{t-1}, \quad \alpha = 2 / (n + 1)","date,close
+2020-03-13,36.44133377075195
+2020-03-16,29.67133331298828
+2020-03-17,28.68000030517578
+2020-03-18,24.08133316040039
+2020-03-19,28.50933265686035
+2020-03-20,28.50200080871582
+2020-03-23,28.952667236328125
+2020-03-24,33.66666793823242
+2020-03-25,35.95000076293945
+2020-03-26,35.21066665649414
+2020-03-27,34.29066848754883
+2020-03-30,33.47533416748047
+2020-03-31,34.93333435058594
+2020-04-01,32.104000091552734
+2020-04-02,30.29800033569336
+2020-04-03,32.000667572021484
+2020-04-06,34.41600036621094
+2020-04-07,36.36333465576172
+2020-04-08,36.589332580566406
+2020-04-09,38.20000076293945
+2020-04-13,43.39666748046875
+2020-04-14,47.32600021362305
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+2020-04-16,49.68066787719727
+2020-04-17,50.25933456420898
+2020-04-20,49.75733184814453
+2020-04-21,45.78133392333984
+2020-04-22,48.80733489990234
+2020-04-23,47.04199981689453
+2020-04-24,48.34333419799805
+2020-04-27,53.25
+2020-04-28,51.27466583251953
+2020-04-29,53.367332458496094
+2020-04-30,52.12533187866211
+2020-05-01,46.75466537475586
+2020-05-04,50.74599838256836
+2020-05-05,51.2140007019043
+2020-05-06,52.172000885009766
+2020-05-07,52.00266647338867
+2020-05-08,54.62799835205078
+2020-05-11,54.08599853515625
+",
+US,technical,"What is the 60-day period Double Exponential Moving Average close price of KKR & Co. on September 21, 2023? (Unit: USD) (Smoothing factor alpha = 2 / (n + 1); Require 5n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",63.3001,easy,moving average,DEMA = 2 * EMA1 - EMA2; EMA1 = EMA_n(P); EMA2 = EMA_n(EMA1),"date,close
+2022-07-13,46.16999816894531
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+2022-07-22,51.33000183105469
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+",
+US,technical,"On August 27, 2020, what is the 30-day Double Exponential Moving Average close price of Cencora? (Unit: USD) (Smoothing factor alpha = 2 / (n + 1); Require 5n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",100.9702,easy,moving average,DEMA = 2 * EMA1 - EMA2; EMA1 = EMA_n(P); EMA2 = EMA_n(EMA1),"date,close
+2020-01-24,88.91999816894531
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+US,technical,"For the 30-day Double Exponential Moving Average close price, what is the value for Fair Isaac on September 26, 2022? (Unit: USD) (Smoothing factor alpha = 2 / (n + 1); Require 5n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",451.1688,easy,moving average,DEMA = 2 * EMA1 - EMA2; EMA1 = EMA_n(P); EMA2 = EMA_n(EMA1),"date,close
+2022-02-18,498.2000122070313
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+",
+US,technical,"What is Lennar's 5-day Double Exponential Moving Average close price on March 09, 2022? (Unit: USD) (Smoothing factor alpha = 2 / (n + 1); Require 5n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",83.0577,easy,moving average,DEMA = 2 * EMA1 - EMA2; EMA1 = EMA_n(P); EMA2 = EMA_n(EMA1),"date,close
+2022-02-01,92.63311004638672
+2022-02-02,94.40464782714844
+2022-02-03,91.8005828857422
+2022-02-04,87.41529846191406
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+2022-02-09,93.26234436035156
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+2022-02-17,86.47628021240234
+2022-02-18,86.57308959960938
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+",
+US,technical,"Calculate the 60-day period Double Exponential Moving Average close price for ResMed on April 20, 2022. (Unit: USD) (Smoothing factor alpha = 2 / (n + 1); Require 5n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",241.2481,easy,moving average,DEMA = 2 * EMA1 - EMA2; EMA1 = EMA_n(P); EMA2 = EMA_n(EMA1),"date,close
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+US,technical,"What is the 30-day period Triple Exponential Moving Average close price of Incyte on August 25, 2021? (Unit: USD) (Smoothing factor alpha = 2 / (n + 1); Require 6n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",73.7258,easy,moving average,TEMA = 3 * EMA1 - 3 * EMA2 + EMA3; EMA1 = EMA_n(P); EMA2 = EMA_n(EMA1); EMA3 = EMA_n(EMA2),"date,close
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+US,technical,"On October 01, 2021, what is the 20-day Triple Exponential Moving Average close price of Charles Schwab Corporation? (Unit: USD) (Smoothing factor alpha = 2 / (n + 1); Require 6n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",74.5085,easy,moving average,TEMA = 3 * EMA1 - 3 * EMA2 + EMA3; EMA1 = EMA_n(P); EMA2 = EMA_n(EMA1); EMA3 = EMA_n(EMA2),"date,close
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+US,technical,"For the 20-day Triple Exponential Moving Average close price, what is the value for Kroger on August 17, 2023? (Unit: USD) (Smoothing factor alpha = 2 / (n + 1); Require 6n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",48.1214,easy,moving average,TEMA = 3 * EMA1 - 3 * EMA2 + EMA3; EMA1 = EMA_n(P); EMA2 = EMA_n(EMA1); EMA3 = EMA_n(EMA2),"date,close
+2023-02-24,43.75
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+2023-04-12,47.31999969482422
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+2023-04-17,47.810001373291016
+2023-04-18,47.84999847412109
+2023-04-19,47.45000076293945
+2023-04-20,47.79999923706055
+2023-04-21,47.91999816894531
+2023-04-24,48.2400016784668
+2023-04-25,47.970001220703125
+2023-04-26,47.81999969482422
+2023-04-27,48.34000015258789
+2023-04-28,48.630001068115234
+2023-05-01,49.27999877929688
+2023-05-02,49.43999862670898
+2023-05-03,48.93999862670898
+2023-05-04,48.27999877929688
+2023-05-05,49.22999954223633
+2023-05-08,49.150001525878906
+2023-05-09,49.15999984741211
+2023-05-10,49.119998931884766
+2023-05-11,49.15999984741211
+2023-05-12,49.18000030517578
+2023-05-15,49.06999969482422
+2023-05-16,48.93000030517578
+2023-05-17,49.25
+2023-05-18,49.33000183105469
+2023-05-19,49.63999938964844
+2023-05-22,49.97999954223633
+2023-05-23,49.09999847412109
+2023-05-24,49.560001373291016
+2023-05-25,48.900001525878906
+2023-05-26,47.310001373291016
+2023-05-30,45.959999084472656
+2023-05-31,45.33000183105469
+2023-06-01,44.65999984741211
+2023-06-02,45.91999816894531
+2023-06-05,46.150001525878906
+2023-06-06,46.06999969482422
+2023-06-07,45.459999084472656
+2023-06-08,45.7599983215332
+2023-06-09,46.16999816894531
+2023-06-12,46.380001068115234
+2023-06-13,46.86000061035156
+2023-06-14,47.209999084472656
+2023-06-15,45.93999862670898
+2023-06-16,46.16999816894531
+2023-06-20,45.83000183105469
+2023-06-21,45.68000030517578
+2023-06-22,46.06999969482422
+2023-06-23,46.13999938964844
+2023-06-26,46.650001525878906
+2023-06-27,46.77000045776367
+2023-06-28,47.16999816894531
+2023-06-29,46.31999969482422
+2023-06-30,47.0
+2023-07-03,47.43999862670898
+2023-07-05,47.040000915527344
+2023-07-06,47.290000915527344
+2023-07-07,47.16999816894531
+2023-07-10,46.880001068115234
+2023-07-11,47.56999969482422
+2023-07-12,47.34999847412109
+2023-07-13,47.0
+2023-07-14,46.43999862670898
+2023-07-17,46.540000915527344
+2023-07-18,46.209999084472656
+2023-07-19,46.97999954223633
+2023-07-20,47.86000061035156
+2023-07-21,47.9900016784668
+2023-07-24,48.7400016784668
+2023-07-25,48.68999862670898
+2023-07-26,48.709999084472656
+2023-07-27,48.09999847412109
+2023-07-28,48.52000045776367
+2023-07-31,48.63999938964844
+2023-08-01,48.540000915527344
+2023-08-02,49.02000045776367
+2023-08-03,49.400001525878906
+2023-08-04,49.4900016784668
+2023-08-07,49.70000076293945
+2023-08-08,48.869998931884766
+2023-08-09,49.2599983215332
+2023-08-10,49.08000183105469
+2023-08-11,48.97999954223633
+2023-08-14,48.560001373291016
+2023-08-15,47.95000076293945
+2023-08-16,47.02000045776367
+2023-08-17,46.7400016784668
+",
+US,technical,"What is Alphabet Inc. (Class A)'s 5-day Triple Exponential Moving Average close price on September 12, 2025? (Unit: USD) (Smoothing factor alpha = 2 / (n + 1); Require 6n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",241.4961,easy,moving average,TEMA = 3 * EMA1 - 3 * EMA2 + EMA3; EMA1 = EMA_n(P); EMA2 = EMA_n(EMA1); EMA3 = EMA_n(EMA2),"date,close
+2025-07-31,191.8999938964844
+2025-08-01,189.1300048828125
+2025-08-04,195.0399932861328
+2025-08-05,194.6699981689453
+2025-08-06,196.08999633789065
+2025-08-07,196.5200042724609
+2025-08-08,201.4199981689453
+2025-08-11,201.0
+2025-08-12,203.33999633789065
+2025-08-13,201.9600067138672
+2025-08-14,202.94000244140625
+2025-08-15,203.8999938964844
+2025-08-18,203.5
+2025-08-19,201.57000732421875
+2025-08-20,199.32000732421875
+2025-08-21,199.75
+2025-08-22,206.08999633789065
+2025-08-25,208.4900054931641
+2025-08-26,207.13999938964844
+2025-08-27,207.47999572753903
+2025-08-28,211.63999938964844
+2025-08-29,212.91000366210935
+2025-09-02,211.3500061035156
+2025-09-03,230.66000366210935
+2025-09-04,232.3000030517578
+2025-09-05,235.0
+2025-09-08,234.0399932861328
+2025-09-09,239.6300048828125
+2025-09-10,239.1699981689453
+2025-09-11,240.3699951171875
+2025-09-12,240.8000030517578
+",
+US,technical,"Calculate the 5-day period Triple Exponential Moving Average close price for MSCI Inc. on March 11, 2025. (Unit: USD) (Smoothing factor alpha = 2 / (n + 1); Require 6n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",540.8775,easy,moving average,TEMA = 3 * EMA1 - 3 * EMA2 + EMA3; EMA1 = EMA_n(P); EMA2 = EMA_n(EMA1); EMA3 = EMA_n(EMA2),"date,close
+2025-01-27,623.72998046875
+2025-01-28,628.3400268554688
+2025-01-29,593.0499877929688
+2025-01-30,590.72998046875
+2025-01-31,596.77001953125
+2025-02-03,582.4299926757812
+2025-02-04,584.469970703125
+2025-02-05,582.1199951171875
+2025-02-06,587.47998046875
+2025-02-07,579.3900146484375
+2025-02-10,583.47998046875
+2025-02-11,577.3099975585938
+2025-02-12,572.530029296875
+2025-02-13,572.2999877929688
+2025-02-14,572.6300048828125
+2025-02-18,572.6900024414062
+2025-02-19,574.72998046875
+2025-02-20,574.3499755859375
+2025-02-21,578.3400268554688
+2025-02-24,573.5499877929688
+2025-02-25,584.5399780273438
+2025-02-26,579.4400024414062
+2025-02-27,581.27001953125
+2025-02-28,590.510009765625
+2025-03-03,588.760009765625
+2025-03-04,567.6199951171875
+2025-03-05,572.989990234375
+2025-03-06,566.280029296875
+2025-03-07,561.8900146484375
+2025-03-10,545.3400268554688
+2025-03-11,541.719970703125
+",
+US,technical,"What is the 60-day period Hull Moving Average close price of Coca-Cola Company (The) on October 20, 2020? (Unit: USD) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",50.0948,easy,moving average,HMA = WMA_{\sqrt{n}}(2 * WMA_{n/2}(P) - WMA_n(P)),"date,close
+2020-06-12,45.59999847412109
+2020-06-15,46.29999923706055
+2020-06-16,46.77000045776367
+2020-06-17,46.58000183105469
+2020-06-18,46.9900016784668
+2020-06-19,46.02000045776367
+2020-06-22,45.7400016784668
+2020-06-23,45.63999938964844
+2020-06-24,44.650001525878906
+2020-06-25,44.93000030517578
+2020-06-26,43.56999969482422
+2020-06-29,44.36000061035156
+2020-06-30,44.68000030517578
+2020-07-01,44.81999969482422
+2020-07-02,44.880001068115234
+2020-07-06,45.22999954223633
+2020-07-07,45.209999084472656
+2020-07-08,45.06999969482422
+2020-07-09,43.90999984741211
+2020-07-10,45.150001525878906
+2020-07-13,45.25
+2020-07-14,45.869998931884766
+2020-07-15,46.400001525878906
+2020-07-16,46.150001525878906
+2020-07-17,46.81999969482422
+2020-07-20,46.119998931884766
+2020-07-21,47.20000076293945
+2020-07-22,48.47999954223633
+2020-07-23,48.27999877929688
+2020-07-24,48.4900016784668
+2020-07-27,48.47999954223633
+2020-07-28,48.18000030517578
+2020-07-29,48.02000045776367
+2020-07-30,47.68999862670898
+2020-07-31,47.2400016784668
+2020-08-03,46.29999923706055
+2020-08-04,46.68999862670898
+2020-08-05,47.220001220703125
+2020-08-06,47.47999954223633
+2020-08-07,47.79999923706055
+2020-08-10,47.720001220703125
+2020-08-11,47.93000030517578
+2020-08-12,48.43000030517578
+2020-08-13,48.380001068115234
+2020-08-14,48.45000076293945
+2020-08-17,48.209999084472656
+2020-08-18,48.41999816894531
+2020-08-19,47.369998931884766
+2020-08-20,47.34999847412109
+2020-08-21,47.27999877929688
+2020-08-24,47.970001220703125
+2020-08-25,47.90999984741211
+2020-08-26,48.15999984741211
+2020-08-27,48.22999954223633
+2020-08-28,49.83000183105469
+2020-08-31,49.52999877929688
+2020-09-01,49.119998931884766
+2020-09-02,51.18999862670898
+2020-09-03,50.47999954223633
+2020-09-04,51.040000915527344
+2020-09-08,49.810001373291016
+2020-09-09,50.18999862670898
+2020-09-10,50.0
+2020-09-11,51.060001373291016
+2020-09-14,50.709999084472656
+2020-09-15,51.04999923706055
+2020-09-16,50.790000915527344
+2020-09-17,50.54999923706055
+2020-09-18,50.45000076293945
+2020-09-21,49.09000015258789
+2020-09-22,49.65999984741211
+2020-09-23,48.209999084472656
+2020-09-24,48.70000076293945
+2020-09-25,48.720001220703125
+2020-09-28,49.27999877929688
+2020-09-29,48.91999816894531
+2020-09-30,49.369998931884766
+2020-10-01,49.18000030517578
+2020-10-02,49.36000061035156
+2020-10-05,49.380001068115234
+2020-10-06,48.93999862670898
+2020-10-07,49.560001373291016
+2020-10-08,50.459999084472656
+2020-10-09,50.810001373291016
+2020-10-12,51.09000015258789
+2020-10-13,50.220001220703125
+2020-10-14,50.119998931884766
+2020-10-15,49.9900016784668
+2020-10-16,50.02999877929688
+2020-10-19,49.619998931884766
+2020-10-20,50.25
+",
+US,technical,"On September 28, 2021, what is the 30-day Hull Moving Average close price of Dow Inc.? (Unit: USD) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",56.5213,easy,moving average,HMA = WMA_{\sqrt{n}}(2 * WMA_{n/2}(P) - WMA_n(P)),"date,close
+2021-07-26,62.0099983215332
+2021-07-27,61.95000076293945
+2021-07-28,61.869998931884766
+2021-07-29,62.59999847412109
+2021-07-30,62.15999984741211
+2021-08-02,61.220001220703125
+2021-08-03,62.22999954223633
+2021-08-04,60.9900016784668
+2021-08-05,61.0
+2021-08-06,62.0
+2021-08-09,61.81999969482422
+2021-08-10,63.119998931884766
+2021-08-11,64.23999786376953
+2021-08-12,64.01000213623047
+2021-08-13,63.68999862670898
+2021-08-16,63.31999969482422
+2021-08-17,62.310001373291016
+2021-08-18,61.880001068115234
+2021-08-19,60.54999923706055
+2021-08-20,60.88999938964844
+2021-08-23,62.060001373291016
+2021-08-24,63.2599983215332
+2021-08-25,63.869998931884766
+2021-08-26,63.650001525878906
+2021-08-27,65.37999725341797
+2021-08-30,63.97999954223633
+2021-08-31,62.900001525878906
+2021-09-01,62.540000915527344
+2021-09-02,62.619998931884766
+2021-09-03,62.119998931884766
+2021-09-07,61.869998931884766
+2021-09-08,60.68999862670898
+2021-09-09,60.27999877929688
+2021-09-10,60.40999984741211
+2021-09-13,60.720001220703125
+2021-09-14,59.650001525878906
+2021-09-15,60.20000076293945
+2021-09-16,59.470001220703125
+2021-09-17,57.75
+2021-09-20,56.18000030517578
+2021-09-21,55.52999877929688
+2021-09-22,56.29999923706055
+2021-09-23,57.43000030517578
+2021-09-24,56.810001373291016
+2021-09-27,59.68999862670898
+2021-09-28,59.459999084472656
+",
+US,technical,"For the 10-day Hull Moving Average close price, what is the value for Fiserv on September 06, 2024? (Unit: USD) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",173.2488,easy,moving average,HMA = WMA_{\sqrt{n}}(2 * WMA_{n/2}(P) - WMA_n(P)),"date,close
+2024-08-15,165.72000122070312
+2024-08-16,167.32000732421875
+2024-08-19,167.91000366210938
+2024-08-20,168.0399932861328
+2024-08-21,168.3300018310547
+2024-08-22,168.7899932861328
+2024-08-23,169.80999755859375
+2024-08-26,169.85000610351562
+2024-08-27,170.1699981689453
+2024-08-28,171.8300018310547
+2024-08-29,172.9499969482422
+2024-08-30,174.60000610351562
+2024-09-03,173.91000366210938
+2024-09-04,173.6199951171875
+2024-09-05,172.50999450683594
+2024-09-06,170.02000427246094
+",
+US,technical,"What is Insulet Corporation's 5-day Hull Moving Average close price on April 18, 2022? (Unit: USD) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",261.0913,easy,moving average,HMA = WMA_{\sqrt{n}}(2 * WMA_{n/2}(P) - WMA_n(P)),"date,close
+2022-04-06,267.2799987792969
+2022-04-07,267.510009765625
+2022-04-08,267.6300048828125
+2022-04-11,258.1400146484375
+2022-04-12,253.6000061035156
+2022-04-13,265.2799987792969
+2022-04-14,263.5
+2022-04-18,257.0
+",
+US,technical,"Calculate the 10-day period Hull Moving Average close price for Extra Space Storage on January 17, 2024. (Unit: USD) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",149.2538,easy,moving average,HMA = WMA_{\sqrt{n}}(2 * WMA_{n/2}(P) - WMA_n(P)),"date,close
+2023-12-22,156.5399932861328
+2023-12-26,159.4499969482422
+2023-12-27,161.08999633789062
+2023-12-28,162.16000366210938
+2023-12-29,160.3300018310547
+2024-01-02,164.39999389648438
+2024-01-03,158.8000030517578
+2024-01-04,156.9499969482422
+2024-01-05,158.0800018310547
+2024-01-08,159.83999633789062
+2024-01-09,158.02999877929688
+2024-01-10,156.83999633789062
+2024-01-11,150.74000549316406
+2024-01-12,152.32000732421875
+2024-01-16,150.4499969482422
+2024-01-17,148.1699981689453
+",
+US,technical,"What is the value of Aroon Up for Zebra Technologies on July 09, 2021? (Standard period: 25) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",100.0,easy,trend,"AroonUp = (n - i_{max}) / n * 100; i_{max} = argmax_{i=0}^{n} H_{t-i}, the number of bars since the highest high in the last n+1 bars","date,high
+2021-06-03,509.239990234375
+2021-06-04,517.0
+2021-06-07,517.9400024414062
+2021-06-08,508.6300048828125
+2021-06-09,508.1799926757813
+2021-06-10,511.6000061035156
+2021-06-11,511.4800109863281
+2021-06-14,511.2799987792969
+2021-06-15,509.9200134277344
+2021-06-16,513.0900268554688
+2021-06-17,509.30999755859375
+2021-06-18,500.3999938964844
+2021-06-21,504.5
+2021-06-22,507.0
+2021-06-23,506.4800109863281
+2021-06-24,511.2900085449219
+2021-06-25,514.5999755859375
+2021-06-28,529.010009765625
+2021-06-29,536.780029296875
+2021-06-30,538.510009765625
+2021-07-01,533.22998046875
+2021-07-02,541.260009765625
+2021-07-06,545.4600219726562
+2021-07-07,547.7999877929688
+2021-07-08,546.8400268554688
+2021-07-09,548.469970703125
+",
+US,technical,"On May 21, 2021, what is the Aroon Up value for EQT Corporation? (Standard period: 25) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",88.0,easy,trend,"AroonUp = (n - i_{max}) / n * 100; i_{max} = argmax_{i=0}^{n} H_{t-i}, the number of bars since the highest high in the last n+1 bars","date,high
+2021-04-16,17.860000610351562
+2021-04-19,17.739999771118164
+2021-04-20,17.700000762939453
+2021-04-21,17.739999771118164
+2021-04-22,17.90999984741211
+2021-04-23,17.979999542236328
+2021-04-26,18.6299991607666
+2021-04-27,18.959999084472656
+2021-04-28,19.739999771118164
+2021-04-29,19.8700008392334
+2021-04-30,19.780000686645508
+2021-05-03,19.90999984741211
+2021-05-04,19.940000534057617
+2021-05-05,20.25
+2021-05-06,19.959999084472656
+2021-05-07,20.700000762939453
+2021-05-10,21.530000686645508
+2021-05-11,21.239999771118164
+2021-05-12,21.790000915527344
+2021-05-13,20.82999992370605
+2021-05-14,21.420000076293945
+2021-05-17,23.15999984741211
+2021-05-18,23.15999984741211
+2021-05-19,22.739999771118164
+2021-05-20,22.6200008392334
+2021-05-21,22.61000061035156
+",
+US,technical,"What was Applied Materials's Aroon Up on March 16, 2020? (Standard period: 25) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",16.0,easy,trend,"AroonUp = (n - i_{max}) / n * 100; i_{max} = argmax_{i=0}^{n} H_{t-i}, the number of bars since the highest high in the last n+1 bars","date,high
+2020-02-07,62.97999954223633
+2020-02-10,62.959999084472656
+2020-02-11,64.69999694824219
+2020-02-12,65.68000030517578
+2020-02-13,69.44000244140625
+2020-02-14,67.9000015258789
+2020-02-18,66.0
+2020-02-19,67.73999786376953
+2020-02-20,67.3499984741211
+2020-02-21,66.12999725341797
+2020-02-24,61.84999847412109
+2020-02-25,62.27999877929688
+2020-02-26,60.7599983215332
+2020-02-27,58.5
+2020-02-28,58.18000030517578
+2020-03-02,60.18999862670898
+2020-03-03,61.380001068115234
+2020-03-04,60.650001525878906
+2020-03-05,60.43999862670898
+2020-03-06,58.47999954223633
+2020-03-09,55.33000183105469
+2020-03-10,56.16999816894531
+2020-03-11,54.9900016784668
+2020-03-12,50.36000061035156
+2020-03-13,51.22999954223633
+2020-03-16,46.70000076293945
+",
+US,technical,"For Aroon Up, what is the value of Pentair on August 24, 2022? (Standard period: 25) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",76.0,easy,trend,"AroonUp = (n - i_{max}) / n * 100; i_{max} = argmax_{i=0}^{n} H_{t-i}, the number of bars since the highest high in the last n+1 bars","date,high
+2022-07-20,48.68000030517578
+2022-07-21,48.68999862670898
+2022-07-22,47.58000183105469
+2022-07-25,47.34000015258789
+2022-07-26,48.08000183105469
+2022-07-27,49.5
+2022-07-28,50.06999969482422
+2022-07-29,49.119998931884766
+2022-08-01,48.9900016784668
+2022-08-02,49.119998931884766
+2022-08-03,49.18999862670898
+2022-08-04,49.560001373291016
+2022-08-05,49.36000061035156
+2022-08-08,50.58000183105469
+2022-08-09,50.290000915527344
+2022-08-10,50.38999938964844
+2022-08-11,50.630001068115234
+2022-08-12,50.709999084472656
+2022-08-15,50.77999877929688
+2022-08-16,51.4900016784668
+2022-08-17,50.810001373291016
+2022-08-18,50.81999969482422
+2022-08-19,50.15999984741211
+2022-08-22,49.08000183105469
+2022-08-23,48.43000030517578
+2022-08-24,48.0099983215332
+",
+US,technical,"Calculate the Aroon Up value for Adobe Inc. on June 01, 2022. (Standard period: 25) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",100.0,easy,trend,"AroonUp = (n - i_{max}) / n * 100; i_{max} = argmax_{i=0}^{n} H_{t-i}, the number of bars since the highest high in the last n+1 bars","date,high
+2022-04-26,411.6099853515625
+2022-04-27,412.4599914550781
+2022-04-28,414.2699890136719
+2022-04-29,413.0
+2022-05-02,407.9800109863281
+2022-05-03,413.9299926757813
+2022-05-04,424.2300109863281
+2022-05-05,417.989990234375
+2022-05-06,401.260009765625
+2022-05-09,389.6300048828125
+2022-05-10,400.8299865722656
+2022-05-11,409.989990234375
+2022-05-12,390.1300048828125
+2022-05-13,408.9700012207031
+2022-05-16,407.1700134277344
+2022-05-17,416.7200012207031
+2022-05-18,411.6600036621094
+2022-05-19,403.0400085449219
+2022-05-20,406.239990234375
+2022-05-23,407.8800048828125
+2022-05-24,404.3299865722656
+2022-05-25,406.1000061035156
+2022-05-26,411.5499877929688
+2022-05-27,428.5499877929688
+2022-05-31,427.2900085449219
+2022-06-01,437.5499877929688
+",
+US,technical,"What is the value of Aroon Down for Brown–Forman on April 04, 2025? (Standard period: 25) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",100.0,easy,trend,"AroonDown = (n - i_{min}) / n * 100; i_{min} = argmin_{i=0}^{n} L_{t-i}, the number of bars since the lowest low in the last n+1 bars","date,high,low
+2025-02-28,33.47999954223633,32.91999816894531
+2025-03-03,33.4900016784668,32.5099983215332
+2025-03-04,33.52000045776367,32.650001525878906
+2025-03-05,36.18000030517578,34.72999954223633
+2025-03-06,35.88999938964844,34.27000045776367
+2025-03-07,37.31999969482422,35.41999816894531
+2025-03-10,38.84999847412109,37.0
+2025-03-11,37.959999084472656,35.61000061035156
+2025-03-12,35.349998474121094,33.33000183105469
+2025-03-13,35.02000045776367,34.27000045776367
+2025-03-14,35.20000076293945,34.68000030517578
+2025-03-17,36.220001220703125,35.0099983215332
+2025-03-18,35.7599983215332,35.16999816894531
+2025-03-19,35.33000183105469,34.630001068115234
+2025-03-20,35.34000015258789,34.81999969482422
+2025-03-21,35.310001373291016,34.58000183105469
+2025-03-24,34.68000030517578,33.59000015258789
+2025-03-25,34.189998626708984,33.650001525878906
+2025-03-26,34.36000061035156,33.560001373291016
+2025-03-27,34.849998474121094,34.060001373291016
+2025-03-28,35.02000045776367,34.130001068115234
+2025-03-31,34.72999954223633,33.900001525878906
+2025-04-01,34.150001525878906,33.099998474121094
+2025-04-02,34.84000015258789,33.13999938964844
+2025-04-03,34.939998626708984,32.72999954223633
+2025-04-04,32.72999954223633,31.729999542236328
+",
+US,technical,"On April 12, 2023, what is the Aroon Down value for Alphabet Inc. (Class C)? (Standard period: 25) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",16.0,easy,trend,"AroonDown = (n - i_{min}) / n * 100; i_{min} = argmin_{i=0}^{n} L_{t-i}, the number of bars since the lowest low in the last n+1 bars","date,high,low
+2023-03-07,96.08999633789062,93.84400177001952
+2023-03-08,96.23999786376952,94.40499877929688
+2023-03-09,95.91999816894533,92.3550033569336
+2023-03-10,93.18000030517578,90.8000030517578
+2023-03-13,93.08000183105467,89.94000244140625
+2023-03-14,94.83000183105467,92.77999877929688
+2023-03-15,97.25,93.04000091552734
+2023-03-16,101.97000122070312,95.87000274658205
+2023-03-17,103.48999786376952,100.75
+2023-03-20,102.58000183105467,100.79000091552734
+2023-03-21,105.95999908447266,101.86000061035156
+2023-03-22,107.51000213623048,104.20999908447266
+2023-03-23,107.10099792480467,105.41000366210938
+2023-03-24,106.16000366210938,104.73999786376952
+2023-03-27,105.4000015258789,102.62999725341795
+2023-03-28,103.0,100.27999877929688
+2023-03-29,102.81999969482422,101.02999877929688
+2023-03-30,101.61000061035156,100.29000091552734
+2023-03-31,104.19000244140624,101.44000244140624
+2023-04-03,104.9499969482422,102.37999725341795
+2023-04-04,106.0999984741211,104.5999984741211
+2023-04-05,106.54000091552734,104.10199737548828
+2023-04-06,109.62999725341795,104.81500244140624
+2023-04-10,107.97000122070312,105.5999984741211
+2023-04-11,107.22000122070312,105.27999877929688
+2023-04-12,107.58699798583984,104.97000122070312
+",
+US,technical,"What was Equifax's Aroon Down on April 16, 2025? (Standard period: 25) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",80.0,easy,trend,"AroonDown = (n - i_{min}) / n * 100; i_{min} = argmin_{i=0}^{n} L_{t-i}, the number of bars since the lowest low in the last n+1 bars","date,high,low
+2025-03-12,240.7100067138672,231.3999938964844
+2025-03-13,237.4499969482422,233.9199981689453
+2025-03-14,238.33999633789065,235.00999450683597
+2025-03-17,241.6300048828125,237.3999938964844
+2025-03-18,238.44000244140625,233.38999938964844
+2025-03-19,242.33999633789065,236.67999267578125
+2025-03-20,245.94000244140625,240.57000732421875
+2025-03-21,244.66000366210935,239.3699951171875
+2025-03-24,247.8699951171875,243.3600006103516
+2025-03-25,245.8699951171875,241.69000244140625
+2025-03-26,246.25999450683597,240.30999755859372
+2025-03-27,244.6999969482422,240.41000366210935
+2025-03-28,244.3699951171875,239.8500061035156
+2025-03-31,244.8000030517578,238.44000244140625
+2025-04-01,244.5399932861328,240.32000732421875
+2025-04-02,248.1699981689453,241.0
+2025-04-03,245.75,231.2700042724609
+2025-04-04,226.3500061035156,209.88999938964844
+2025-04-07,218.9499969482422,202.22999572753903
+2025-04-08,216.55999755859372,202.00999450683597
+2025-04-09,226.1300048828125,199.97999572753903
+2025-04-10,221.9499969482422,209.2400054931641
+2025-04-11,220.5800018310547,210.3999938964844
+2025-04-14,226.5800018310547,221.8699951171875
+2025-04-15,227.97999572753903,223.30999755859372
+2025-04-16,225.9499969482422,217.13999938964844
+",
+US,technical,"For Aroon Down, what is the value of Capital One on November 17, 2020? (Standard period: 25) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",48.0,easy,trend,"AroonDown = (n - i_{min}) / n * 100; i_{min} = argmin_{i=0}^{n} L_{t-i}, the number of bars since the lowest low in the last n+1 bars","date,high,low
+2020-10-13,80.66999816894531,78.87000274658203
+2020-10-14,80.22000122070312,78.55999755859375
+2020-10-15,78.69999694824219,76.83000183105469
+2020-10-16,79.87999725341797,78.51000213623047
+2020-10-19,79.88999938964844,77.08999633789062
+2020-10-20,79.08999633789062,77.1500015258789
+2020-10-21,77.19999694824219,73.66999816894531
+2020-10-22,77.47000122070312,74.56999969482422
+2020-10-23,81.0,76.81999969482422
+2020-10-26,76.7699966430664,74.19000244140625
+2020-10-27,74.98999786376953,73.69000244140625
+2020-10-28,73.5999984741211,71.5199966430664
+2020-10-29,73.62000274658203,70.77999877929688
+2020-10-30,73.19999694824219,71.2699966430664
+2020-11-02,76.22000122070312,74.01000213623047
+2020-11-03,78.83000183105469,76.83000183105469
+2020-11-04,77.79000091552734,73.05000305175781
+2020-11-05,79.20999908447266,76.19999694824219
+2020-11-06,79.79000091552734,77.11000061035156
+2020-11-09,90.3000030517578,84.77999877929688
+2020-11-10,88.61000061035156,85.7699966430664
+2020-11-11,87.45999908447266,83.72000122070312
+2020-11-12,84.58000183105469,82.52999877929688
+2020-11-13,87.2699966430664,84.37999725341797
+2020-11-16,90.61000061035156,87.62000274658203
+2020-11-17,88.61000061035156,85.48999786376953
+",
+US,technical,"Calculate the Aroon Down value for Ball Corporation on May 30, 2024. (Standard period: 25) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",4.0,easy,trend,"AroonDown = (n - i_{min}) / n * 100; i_{min} = argmin_{i=0}^{n} L_{t-i}, the number of bars since the lowest low in the last n+1 bars","date,high,low
+2024-04-24,65.58999633789062,64.55000305175781
+2024-04-25,65.80999755859375,64.47000122070312
+2024-04-26,70.75,66.37999725341797
+2024-04-29,70.81999969482422,69.88999938964844
+2024-04-30,71.31999969482422,69.43000030517578
+2024-05-01,69.7699966430664,67.91999816894531
+2024-05-02,69.1500015258789,67.79000091552734
+2024-05-03,68.93000030517578,68.16999816894531
+2024-05-06,69.58999633789062,68.54000091552734
+2024-05-07,69.66000366210938,68.66000366210938
+2024-05-08,70.11000061035156,68.73999786376953
+2024-05-09,70.45999908447266,69.38999938964844
+2024-05-10,69.80999755859375,68.8499984741211
+2024-05-13,69.83000183105469,69.01000213623047
+2024-05-14,70.16000366210938,69.25
+2024-05-15,70.97000122070312,70.23999786376953
+2024-05-16,70.80000305175781,70.18000030517578
+2024-05-17,70.54000091552734,69.72000122070312
+2024-05-20,70.7300033569336,69.73999786376953
+2024-05-21,70.43000030517578,69.76000213623047
+2024-05-22,70.23999786376953,69.38999938964844
+2024-05-23,70.27999877929688,68.37000274658203
+2024-05-24,69.12999725341797,68.01000213623047
+2024-05-28,68.87999725341797,67.19999694824219
+2024-05-29,67.3499984741211,66.44999694824219
+2024-05-30,68.7300033569336,66.5999984741211
+",
+US,technical,"What is the value of Aroon Oscillator for Phillips 66 on January 30, 2023? (Standard period: 25) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",92.0,easy,trend,AroonOsc = AroonUp - AroonDown; AroonUp = (n - i_{max}) / n * 100; AroonDown = (n - i_{min}) / n * 100,"date,high,low
+2022-12-21,104.66000366210938,102.2699966430664
+2022-12-22,103.48999786376952,98.97000122070312
+2022-12-23,104.0199966430664,101.0500030517578
+2022-12-27,104.79000091552734,103.69000244140624
+2022-12-28,104.72000122070312,101.98999786376952
+2022-12-29,104.3000030517578,101.66999816894533
+2022-12-30,104.87999725341795,103.51000213623048
+2023-01-03,104.47000122070312,100.54000091552734
+2023-01-04,102.0,99.37999725341795
+2023-01-05,103.06999969482422,100.1999969482422
+2023-01-06,106.33000183105467,103.81999969482422
+2023-01-09,106.97000122070312,101.55999755859376
+2023-01-10,103.4499969482422,100.56999969482422
+2023-01-11,102.7300033569336,100.52999877929688
+2023-01-12,103.7699966430664,101.72000122070312
+2023-01-13,103.37999725341795,101.5199966430664
+2023-01-17,105.01000213623048,102.36000061035156
+2023-01-18,105.51000213623048,102.3000030517578
+2023-01-19,104.81999969482422,101.83000183105467
+2023-01-20,107.23999786376952,103.83000183105467
+2023-01-23,108.68000030517578,106.5999984741211
+2023-01-24,107.26000213623048,104.36000061035156
+2023-01-25,108.86000061035156,105.54000091552734
+2023-01-26,111.66999816894533,108.27999877929688
+2023-01-27,111.83999633789062,108.6999969482422
+2023-01-30,108.93000030517578,105.88999938964844
+",
+US,technical,"On January 10, 2020, what is the Aroon Oscillator value for Edwards Lifesciences? (Standard period: 25) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-16.0,easy,trend,AroonOsc = AroonUp - AroonDown; AroonUp = (n - i_{max}) / n * 100; AroonDown = (n - i_{min}) / n * 100,"date,high,low
+2019-12-04,82.44999694824219,81.36333465576172
+2019-12-05,82.5,79.43333435058594
+2019-12-06,81.99666595458984,79.59333038330078
+2019-12-09,79.66666412353516,77.27999877929688
+2019-12-10,78.37000274658203,75.51000213623047
+2019-12-11,76.93333435058594,75.36666870117188
+2019-12-12,77.11333465576172,75.91999816894531
+2019-12-13,77.69999694824219,76.56666564941406
+2019-12-16,78.89666748046875,77.51000213623047
+2019-12-17,79.46666717529297,78.33999633789062
+2019-12-18,79.87333679199219,78.46666717529297
+2019-12-19,79.49333190917969,77.68333435058594
+2019-12-20,78.8133316040039,77.22333526611328
+2019-12-23,79.5,78.79666900634766
+2019-12-24,79.21333312988281,78.20999908447266
+2019-12-26,78.836669921875,78.0566635131836
+2019-12-27,78.86666870117188,77.99666595458984
+2019-12-30,78.52999877929688,77.11666870117188
+2019-12-31,77.836669921875,77.0
+2020-01-02,77.91666412353516,76.62999725341797
+2020-01-03,77.5,76.1066665649414
+2020-01-06,78.35333251953125,76.66999816894531
+2020-01-07,78.5999984741211,77.38333129882812
+2020-01-08,78.0,76.61333465576172
+2020-01-09,78.55000305175781,77.36000061035156
+2020-01-10,78.66666412353516,77.44667053222656
+",
+US,technical,"What was Quanta Services's Aroon Oscillator on February 21, 2024? (Standard period: 25) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",68.0,easy,trend,AroonOsc = AroonUp - AroonDown; AroonUp = (n - i_{max}) / n * 100; AroonDown = (n - i_{min}) / n * 100,"date,high,low
+2024-01-16,202.25999450683597,200.3000030517578
+2024-01-17,201.0200042724609,198.97999572753903
+2024-01-18,203.5,200.05999755859372
+2024-01-19,203.42999267578125,199.41000366210935
+2024-01-22,204.50999450683597,202.2100067138672
+2024-01-23,204.4600067138672,187.2700042724609
+2024-01-24,196.88999938964844,192.6199951171875
+2024-01-25,198.6699981689453,193.5
+2024-01-26,198.6499938964844,194.4199981689453
+2024-01-29,197.6300048828125,194.8999938964844
+2024-01-30,197.57000732421875,194.47999572753903
+2024-01-31,197.7100067138672,193.5200042724609
+2024-02-01,201.3699951171875,195.5800018310547
+2024-02-02,206.08999633789065,197.4600067138672
+2024-02-05,204.07000732421875,200.50999450683597
+2024-02-06,206.2899932861328,200.22999572753903
+2024-02-07,210.94000244140625,206.1999969482422
+2024-02-08,211.77999877929688,207.07000732421875
+2024-02-09,211.0,206.42999267578125
+2024-02-12,212.1199951171875,209.3699951171875
+2024-02-13,209.0,205.82000732421875
+2024-02-14,212.9499969482422,207.9499969482422
+2024-02-15,214.4900054931641,210.75
+2024-02-16,214.1199951171875,211.00999450683597
+2024-02-20,209.3600006103516,206.6100006103516
+2024-02-21,212.07000732421875,206.5800018310547
+",
+US,technical,"For Aroon Oscillator, what is the value of L3Harris on October 28, 2020? (Standard period: 25) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-100.0,easy,trend,AroonOsc = AroonUp - AroonDown; AroonUp = (n - i_{max}) / n * 100; AroonDown = (n - i_{min}) / n * 100,"date,high,low
+2020-09-23,183.8699951171875,177.5
+2020-09-24,177.85000610351562,172.6300048828125
+2020-09-25,178.5800018310547,174.8300018310547
+2020-09-28,181.17999267578125,178.35000610351562
+2020-09-29,178.3300018310547,175.42999267578125
+2020-09-30,175.6199951171875,168.39999389648438
+2020-10-01,174.88999938964844,171.47000122070312
+2020-10-02,174.14999389648438,169.97999572753906
+2020-10-05,175.8699951171875,172.4600067138672
+2020-10-06,177.3300018310547,173.64999389648438
+2020-10-07,177.3800048828125,174.8000030517578
+2020-10-08,178.13999938964844,175.0
+2020-10-09,179.49000549316406,174.47999572753906
+2020-10-12,175.83999633789062,174.27000427246094
+2020-10-13,175.49000549316406,173.55999755859375
+2020-10-14,177.3800048828125,174.3000030517578
+2020-10-15,176.02000427246094,172.9199981689453
+2020-10-16,175.41000366210938,174.16000366210938
+2020-10-19,176.47000122070312,170.89999389648438
+2020-10-20,173.32000732421875,170.1300048828125
+2020-10-21,172.25,169.80999755859375
+2020-10-22,172.0,169.50999450683594
+2020-10-23,172.8800048828125,169.80999755859375
+2020-10-26,170.50999450683594,167.14999389648438
+2020-10-27,170.02999877929688,166.19000244140625
+2020-10-28,166.19000244140625,161.1300048828125
+",
+US,technical,"Calculate the Aroon Oscillator value for Camden Property Trust on December 11, 2025. (Standard period: 25) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",56.0,easy,trend,AroonOsc = AroonUp - AroonDown; AroonUp = (n - i_{max}) / n * 100; AroonDown = (n - i_{min}) / n * 100,"date,high,low
+2025-11-05,102.16000366210938,100.77999877929688
+2025-11-06,101.88999938964844,99.25
+2025-11-07,102.33000183105467,99.44000244140624
+2025-11-10,102.45999908447266,101.04000091552734
+2025-11-11,103.93000030517578,101.80999755859376
+2025-11-12,103.63999938964844,102.2300033569336
+2025-11-13,102.93000030517578,101.55999755859376
+2025-11-14,102.80999755859376,101.26000213623048
+2025-11-17,103.77999877929688,101.77999877929688
+2025-11-18,102.56999969482422,101.47000122070312
+2025-11-19,102.6500015258789,101.5999984741211
+2025-11-20,104.31999969482422,102.75
+2025-11-21,105.8000030517578,103.77999877929688
+2025-11-24,105.25,104.08000183105467
+2025-11-25,106.94000244140624,104.51000213623048
+2025-11-26,106.9800033569336,105.76000213623048
+2025-11-28,106.81999969482422,105.68000030517578
+2025-12-01,106.97000122070312,105.70999908447266
+2025-12-02,106.55999755859376,105.47000122070312
+2025-12-03,106.7699966430664,105.30999755859376
+2025-12-04,106.43000030517578,104.4000015258789
+2025-12-05,105.01000213623048,103.45999908447266
+2025-12-08,103.88999938964844,102.47000122070312
+2025-12-09,103.79000091552734,101.58999633789062
+2025-12-10,103.7699966430664,101.81999969482422
+2025-12-11,104.51000213623048,102.95999908447266
+",
+US,technical,"What is the value of Relative Strength Index for IBM on April 18, 2024? (Standard period: 14; Gain/Loss calculation uses Wilder Smoothing, using the first data point as the initial value; Require 4n data points to warm up) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",36.7644,easy,momentum,"RSI = 100 - (100 / (1 + Gain / Loss)); Gain = Wilder_n(max(Change, 0)); Loss = Wilder_n(-min(Change, 0)); Wilder Smoothing alpha = 1/n","date,close
+2024-01-29,187.13999938964844
+2024-01-30,187.8699951171875
+2024-01-31,183.66000366210935
+2024-02-01,186.8999938964844
+2024-02-02,185.7899932861328
+2024-02-05,183.4199981689453
+2024-02-06,183.41000366210935
+2024-02-07,183.7400054931641
+2024-02-08,184.3600006103516
+2024-02-09,186.33999633789065
+2024-02-12,186.16000366210935
+2024-02-13,183.6999969482422
+2024-02-14,183.57000732421875
+2024-02-15,186.8699951171875
+2024-02-16,187.63999938964844
+2024-02-20,183.44000244140625
+2024-02-21,179.6999969482422
+2024-02-22,184.2100067138672
+2024-02-23,185.72000122070312
+2024-02-26,184.1300048828125
+2024-02-27,184.8699951171875
+2024-02-28,185.3000030517578
+2024-02-29,185.02999877929688
+2024-03-01,188.1999969482422
+2024-03-04,193.05999755859372
+2024-03-05,191.9499969482422
+2024-03-06,196.16000366210935
+2024-03-07,196.5399932861328
+2024-03-08,195.9499969482422
+2024-03-11,191.72999572753903
+2024-03-12,197.77999877929688
+2024-03-13,196.6999969482422
+2024-03-14,193.42999267578125
+2024-03-15,191.07000732421875
+2024-03-18,191.69000244140625
+2024-03-19,193.33999633789065
+2024-03-20,193.9600067138672
+2024-03-21,191.8999938964844
+2024-03-22,190.83999633789065
+2024-03-25,188.7899932861328
+2024-03-26,188.5
+2024-03-27,190.8000030517578
+2024-03-28,190.9600067138672
+2024-04-01,189.8300018310547
+2024-04-02,188.8800048828125
+2024-04-03,190.8999938964844
+2024-04-04,187.94000244140625
+2024-04-05,189.13999938964844
+2024-04-08,189.82000732421875
+2024-04-09,189.30999755859372
+2024-04-10,186.0399932861328
+2024-04-11,185.8999938964844
+2024-04-12,182.2700042724609
+2024-04-15,181.25
+2024-04-16,183.75
+2024-04-17,183.1000061035156
+2024-04-18,181.47000122070312
+",
+US,technical,"On January 15, 2020, what is the Relative Strength Index value for Applied Materials? (Standard period: 14; Gain/Loss calculation uses Wilder Smoothing, using the first data point as the initial value; Require 4n data points to warm up) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",58.5807,easy,momentum,"RSI = 100 - (100 / (1 + Gain / Loss)); Gain = Wilder_n(max(Change, 0)); Loss = Wilder_n(-min(Change, 0)); Wilder Smoothing alpha = 1/n","date,close
+2019-10-24,55.06999969482422
+2019-10-25,55.720001220703125
+2019-10-28,56.95000076293945
+2019-10-29,55.52000045776367
+2019-10-30,55.209999084472656
+2019-10-31,54.2599983215332
+2019-11-01,55.459999084472656
+2019-11-04,55.7400016784668
+2019-11-05,55.880001068115234
+2019-11-06,55.81999969482422
+2019-11-07,55.93999862670898
+2019-11-08,56.02999877929688
+2019-11-11,56.59000015258789
+2019-11-12,56.41999816894531
+2019-11-13,57.119998931884766
+2019-11-14,56.959999084472656
+2019-11-15,62.060001373291016
+2019-11-18,62.34999847412109
+2019-11-19,60.93999862670898
+2019-11-20,59.650001525878906
+2019-11-21,56.43999862670898
+2019-11-22,55.93999862670898
+2019-11-25,58.27999877929688
+2019-11-26,57.56999969482422
+2019-11-27,58.290000915527344
+2019-11-29,57.900001525878906
+2019-12-02,56.70000076293945
+2019-12-03,55.34000015258789
+2019-12-04,56.09000015258789
+2019-12-05,55.84000015258789
+2019-12-06,56.59999847412109
+2019-12-09,56.59999847412109
+2019-12-10,56.619998931884766
+2019-12-11,59.040000915527344
+2019-12-12,60.36000061035156
+2019-12-13,59.869998931884766
+2019-12-16,59.959999084472656
+2019-12-17,60.790000915527344
+2019-12-18,60.380001068115234
+2019-12-19,60.66999816894531
+2019-12-20,61.810001373291016
+2019-12-23,61.08000183105469
+2019-12-24,61.5
+2019-12-26,61.310001373291016
+2019-12-27,61.16999816894531
+2019-12-30,60.93000030517578
+2019-12-31,61.040000915527344
+2020-01-02,62.20000076293945
+2020-01-03,61.209999084472656
+2020-01-06,59.88999938964844
+2020-01-07,61.619998931884766
+2020-01-08,61.58000183105469
+2020-01-09,61.970001220703125
+2020-01-10,61.470001220703125
+2020-01-13,61.810001373291016
+2020-01-14,62.34999847412109
+2020-01-15,61.93000030517578
+",
+US,technical,"What was Broadcom's Relative Strength Index on January 16, 2020? (Standard period: 14; Gain/Loss calculation uses Wilder Smoothing, using the first data point as the initial value; Require 4n data points to warm up) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",45.944,easy,momentum,"RSI = 100 - (100 / (1 + Gain / Loss)); Gain = Wilder_n(max(Change, 0)); Loss = Wilder_n(-min(Change, 0)); Wilder Smoothing alpha = 1/n","date,close
+2019-10-25,28.98200035095215
+2019-10-28,29.155000686645508
+2019-10-29,28.81599998474121
+2019-10-30,29.02400016784668
+2019-10-31,29.28499984741211
+2019-11-01,29.65900039672852
+2019-11-04,30.5
+2019-11-05,31.40399932861328
+2019-11-06,31.31599998474121
+2019-11-07,31.173999786376957
+2019-11-08,31.340999603271484
+2019-11-11,31.274999618530277
+2019-11-12,31.55299949645996
+2019-11-13,31.367000579833984
+2019-11-14,30.89699935913086
+2019-11-15,31.291000366210938
+2019-11-18,31.10700035095215
+2019-11-19,31.770000457763672
+2019-11-20,31.16699981689453
+2019-11-21,31.524999618530277
+2019-11-22,31.492000579833984
+2019-11-25,31.96199989318848
+2019-11-26,31.62700080871582
+2019-11-27,31.8439998626709
+2019-11-29,31.621000289916992
+2019-12-02,31.07200050354004
+2019-12-03,30.652000427246094
+2019-12-04,30.972000122070312
+2019-12-05,31.11899948120117
+2019-12-06,31.604999542236328
+2019-12-09,31.4379997253418
+2019-12-10,31.506000518798828
+2019-12-11,31.972000122070312
+2019-12-12,32.779998779296875
+2019-12-13,31.54199981689453
+2019-12-16,32.3129997253418
+2019-12-17,32.380001068115234
+2019-12-18,32.74399948120117
+2019-12-19,32.40999984741211
+2019-12-20,31.899999618530277
+2019-12-23,31.952999114990234
+2019-12-24,32.04999923706055
+2019-12-26,31.79800033569336
+2019-12-27,31.652999877929688
+2019-12-30,31.34600067138672
+2019-12-31,31.601999282836918
+2020-01-02,32.23899841308594
+2020-01-03,31.41900062561035
+2020-01-06,31.371999740600582
+2020-01-07,31.263999938964844
+2020-01-08,30.874000549316406
+2020-01-09,30.625999450683597
+2020-01-10,29.92200088500977
+2020-01-13,30.118000030517575
+2020-01-14,30.81800079345703
+2020-01-15,30.31399917602539
+2020-01-16,30.70499992370605
+",
+US,technical,"For Relative Strength Index, what is the value of U.S. Bancorp on February 15, 2022? (Standard period: 14; Gain/Loss calculation uses Wilder Smoothing, using the first data point as the initial value; Require 4n data points to warm up) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",46.3211,easy,momentum,"RSI = 100 - (100 / (1 + Gain / Loss)); Gain = Wilder_n(max(Change, 0)); Loss = Wilder_n(-min(Change, 0)); Wilder Smoothing alpha = 1/n","date,close
+2021-11-24,59.84000015258789
+2021-11-26,57.5
+2021-11-29,57.400001525878906
+2021-11-30,55.34000015258789
+2021-12-01,54.84999847412109
+2021-12-02,56.59999847412109
+2021-12-03,55.59000015258789
+2021-12-06,56.880001068115234
+2021-12-07,57.68999862670898
+2021-12-08,57.040000915527344
+2021-12-09,57.209999084472656
+2021-12-10,57.77000045776367
+2021-12-13,56.81999969482422
+2021-12-14,57.310001373291016
+2021-12-15,56.7400016784668
+2021-12-16,57.43000030517578
+2021-12-17,55.72999954223633
+2021-12-20,54.869998931884766
+2021-12-21,55.84000015258789
+2021-12-22,56.06999969482422
+2021-12-23,56.310001373291016
+2021-12-27,56.7400016784668
+2021-12-28,56.75
+2021-12-29,56.59999847412109
+2021-12-30,56.150001525878906
+2021-12-31,56.16999816894531
+2022-01-03,57.27000045776367
+2022-01-04,58.77000045776367
+2022-01-05,58.459999084472656
+2022-01-06,60.04999923706055
+2022-01-07,61.0
+2022-01-10,61.36000061035156
+2022-01-11,62.119998931884766
+2022-01-12,62.4900016784668
+2022-01-13,63.18999862670898
+2022-01-14,63.25
+2022-01-18,62.18999862670898
+2022-01-19,57.369998931884766
+2022-01-20,56.93999862670898
+2022-01-21,55.09999847412109
+2022-01-24,56.810001373291016
+2022-01-25,57.40999984741211
+2022-01-26,57.560001373291016
+2022-01-27,57.43999862670898
+2022-01-28,58.08000183105469
+2022-01-31,58.18999862670898
+2022-02-01,59.27000045776367
+2022-02-02,59.77000045776367
+2022-02-03,59.150001525878906
+2022-02-04,59.70000076293945
+2022-02-07,59.58000183105469
+2022-02-08,59.58000183105469
+2022-02-09,59.75
+2022-02-10,59.209999084472656
+2022-02-11,58.54999923706055
+2022-02-14,57.869998931884766
+2022-02-15,58.61000061035156
+",
+US,technical,"Calculate the Relative Strength Index value for Xylem Inc. on September 28, 2021. (Standard period: 14; Gain/Loss calculation uses Wilder Smoothing, using the first data point as the initial value; Require 4n data points to warm up) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",39.7883,easy,momentum,"RSI = 100 - (100 / (1 + Gain / Loss)); Gain = Wilder_n(max(Change, 0)); Loss = Wilder_n(-min(Change, 0)); Wilder Smoothing alpha = 1/n","date,close
+2021-07-09,121.0500030517578
+2021-07-12,121.63999938964844
+2021-07-13,120.7699966430664
+2021-07-14,121.01000213623048
+2021-07-15,120.01000213623048
+2021-07-16,119.36000061035156
+2021-07-19,117.2300033569336
+2021-07-20,121.52999877929688
+2021-07-21,122.43000030517578
+2021-07-22,122.0
+2021-07-23,123.26000213623048
+2021-07-26,124.08000183105467
+2021-07-27,123.9499969482422
+2021-07-28,122.93000030517578
+2021-07-29,125.05999755859376
+2021-07-30,125.8499984741211
+2021-08-02,125.63999938964844
+2021-08-03,127.93000030517578
+2021-08-04,126.66000366210938
+2021-08-05,127.5199966430664
+2021-08-06,128.8000030517578
+2021-08-09,128.49000549316406
+2021-08-10,129.39999389648438
+2021-08-11,130.22000122070312
+2021-08-12,131.08999633789062
+2021-08-13,131.52999877929688
+2021-08-16,132.92999267578125
+2021-08-17,131.8000030517578
+2021-08-18,130.27000427246094
+2021-08-19,130.25
+2021-08-20,131.57000732421875
+2021-08-23,132.1999969482422
+2021-08-24,133.9600067138672
+2021-08-25,135.10000610351562
+2021-08-26,134.27999877929688
+2021-08-27,134.94000244140625
+2021-08-30,136.47999572753906
+2021-08-31,136.30999755859375
+2021-09-01,136.5500030517578
+2021-09-02,138.02999877929688
+2021-09-03,137.25
+2021-09-07,135.64999389648438
+2021-09-08,135.11000061035156
+2021-09-09,133.94000244140625
+2021-09-10,134.33999633789062
+2021-09-13,132.67999267578125
+2021-09-14,132.49000549316406
+2021-09-15,134.17999267578125
+2021-09-16,132.8800048828125
+2021-09-17,131.55999755859375
+2021-09-20,131.0399932861328
+2021-09-21,130.94000244140625
+2021-09-22,133.16000366210938
+2021-09-23,135.1699981689453
+2021-09-24,135.6199951171875
+2021-09-27,134.3000030517578
+2021-09-28,128.9199981689453
+",
+US,technical,"What is the value of Commodity Channel Index for UnitedHealth Group on January 30, 2024? (Standard period: 20) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-86.2339,easy,momentum,TP_t = (H_t + L_t + C_t) / 3; MD_t = 1 / n * \sum_{i=0}^{n-1} |TP_{t-i} - SMA_n(TP)|; CCI = (TP_t - SMA_n(TP)) / (0.015 * MD_t),"date,high,low,close
+2024-01-02,539.6599731445312,526.6699829101562,539.3400268554688
+2024-01-03,546.7899780273438,539.47998046875,542.030029296875
+2024-01-04,549.0,543.0,545.4199829101562
+2024-01-05,547.0,533.72998046875,537.3800048828125
+2024-01-08,540.25,528.0,536.52001953125
+2024-01-09,539.6099853515625,532.3300170898438,538.3699951171875
+2024-01-10,541.2000122070312,536.1500244140625,537.6400146484375
+2024-01-11,540.1599731445312,534.530029296875,539.6799926757812
+2024-01-12,528.47998046875,513.1300048828125,521.510009765625
+2024-01-16,524.5,516.5499877929688,519.1500244140625
+2024-01-17,530.6599731445312,520.0,524.9400024414062
+2024-01-18,516.8400268554688,497.4599914550781,516.3400268554688
+2024-01-19,517.5499877929688,501.8200073242188,503.55999755859375
+2024-01-22,513.5700073242188,496.5,512.989990234375
+2024-01-23,518.0800170898438,512.0800170898438,515.52001953125
+2024-01-24,521.72998046875,512.9500122070312,513.22998046875
+2024-01-25,495.510009765625,479.0,493.3999938964844
+2024-01-26,503.6900024414063,489.8999938964844,503.2000122070313
+2024-01-29,506.510009765625,501.1499938964844,504.5400085449219
+2024-01-30,506.0499877929688,499.2200012207031,503.6099853515625
+",
+US,technical,"On July 01, 2022, what is the Commodity Channel Index value for Dominion Energy? (Standard period: 20) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",63.5885,easy,momentum,TP_t = (H_t + L_t + C_t) / 3; MD_t = 1 / n * \sum_{i=0}^{n-1} |TP_{t-i} - SMA_n(TP)|; CCI = (TP_t - SMA_n(TP)) / (0.015 * MD_t),"date,high,low,close
+2022-06-03,83.6500015258789,82.66999816894531,82.70999908447266
+2022-06-06,83.44000244140625,82.62000274658203,82.7300033569336
+2022-06-07,83.16999816894531,81.93000030517578,83.0999984741211
+2022-06-08,82.55999755859375,81.08000183105469,81.19000244140625
+2022-06-09,81.98999786376953,79.30999755859375,79.33999633789062
+2022-06-10,79.97000122070312,78.29000091552734,79.30999755859375
+2022-06-13,78.69999694824219,75.95999908447266,76.31999969482422
+2022-06-14,76.9000015258789,73.25,74.5999984741211
+2022-06-15,76.0,73.83999633789062,74.87999725341797
+2022-06-16,74.87000274658203,73.37999725341797,74.37999725341797
+2022-06-17,74.58000183105469,72.63999938964844,73.41000366210938
+2022-06-21,74.83000183105469,73.33999633789062,74.58000183105469
+2022-06-22,75.94999694824219,74.5,75.41999816894531
+2022-06-23,77.23999786376953,75.73999786376953,77.1500015258789
+2022-06-24,78.3499984741211,77.16000366210938,78.13999938964844
+2022-06-27,78.87999725341797,77.44999694824219,78.62000274658203
+2022-06-28,79.37999725341797,78.4000015258789,78.52999877929688
+2022-06-29,79.22000122070312,78.5999984741211,79.0199966430664
+2022-06-30,80.5999984741211,78.37999725341797,79.80999755859375
+2022-07-01,81.29000091552734,79.44000244140625,81.23999786376953
+",
+US,technical,"What was Thermo Fisher Scientific's Commodity Channel Index on May 15, 2025? (Standard period: 20) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-179.0677,easy,momentum,TP_t = (H_t + L_t + C_t) / 3; MD_t = 1 / n * \sum_{i=0}^{n-1} |TP_{t-i} - SMA_n(TP)|; CCI = (TP_t - SMA_n(TP)) / (0.015 * MD_t),"date,high,low,close
+2025-04-17,436.0199890136719,425.0499877929688,427.5
+2025-04-21,426.5,416.6199951171875,421.8500061035156
+2025-04-22,437.010009765625,426.510009765625,434.7300109863281
+2025-04-23,461.6099853515625,429.4200134277344,431.6400146484375
+2025-04-24,432.4599914550781,417.7900085449219,426.6600036621094
+2025-04-25,426.7200012207031,416.8200073242188,424.239990234375
+2025-04-28,432.8500061035156,416.8399963378906,421.3399963378906
+2025-04-29,430.3399963378906,418.80999755859375,427.5299987792969
+2025-04-30,429.30999755859375,422.989990234375,429.0
+2025-05-01,428.8699951171875,415.3800048828125,419.8900146484375
+2025-05-02,431.4400024414063,422.4200134277344,423.5499877929688
+2025-05-05,424.9800109863281,417.8599853515625,422.2699890136719
+2025-05-06,423.55999755859375,406.5,407.0199890136719
+2025-05-07,413.3500061035156,404.5700073242188,407.8500061035156
+2025-05-08,415.75,402.80999755859375,410.7799987792969
+2025-05-09,412.489990234375,401.75,403.1300048828125
+2025-05-12,432.7300109863281,409.7000122070313,432.5899963378906
+2025-05-13,434.9800109863281,427.2999877929688,428.9500122070313
+2025-05-14,430.5499877929688,405.7799987792969,406.0499877929688
+2025-05-15,407.0400085449219,390.5,404.9299926757813
+",
+US,technical,"For Commodity Channel Index, what is the value of Lululemon Athletica on January 08, 2020? (Standard period: 20) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",142.1482,easy,momentum,TP_t = (H_t + L_t + C_t) / 3; MD_t = 1 / n * \sum_{i=0}^{n-1} |TP_{t-i} - SMA_n(TP)|; CCI = (TP_t - SMA_n(TP)) / (0.015 * MD_t),"date,high,low,close
+2019-12-10,231.6999969482422,227.07000732421875,229.6499938964844
+2019-12-11,235.5,228.0,233.19000244140625
+2019-12-12,228.82000732421875,218.17999267578125,224.47000122070312
+2019-12-13,225.5,218.80999755859372,223.5500030517578
+2019-12-16,227.32000732421875,223.75999450683597,225.3500061035156
+2019-12-17,226.44000244140625,221.4600067138672,222.97999572753903
+2019-12-18,225.6000061035156,223.3000030517578,224.30999755859372
+2019-12-19,224.75,222.2700042724609,224.1300048828125
+2019-12-20,230.57000732421875,224.38999938964844,230.2899932861328
+2019-12-23,231.13999938964844,227.07000732421875,228.1300048828125
+2019-12-24,229.41000366210935,227.1100006103516,229.02999877929688
+2019-12-26,233.4199981689453,229.30999755859372,231.1699981689453
+2019-12-27,232.7899932861328,229.75999450683597,230.0200042724609
+2019-12-30,231.75,227.52999877929688,230.8300018310547
+2019-12-31,232.0,229.6699981689453,231.6699981689453
+2020-01-02,233.47000122070312,231.7700042724609,233.4199981689453
+2020-01-03,234.5,230.22999572753903,232.63999938964844
+2020-01-06,235.52999877929688,230.8000030517578,235.42999267578125
+2020-01-07,236.8500061035156,233.33999633789065,233.6999969482422
+2020-01-08,238.00999450683597,234.00999450683597,237.2700042724609
+",
+US,technical,"Calculate the Commodity Channel Index value for Republic Services on February 17, 2023. (Standard period: 20) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",276.2547,easy,momentum,TP_t = (H_t + L_t + C_t) / 3; MD_t = 1 / n * \sum_{i=0}^{n-1} |TP_{t-i} - SMA_n(TP)|; CCI = (TP_t - SMA_n(TP)) / (0.015 * MD_t),"date,high,low,close
+2023-01-23,124.0199966430664,122.30999755859376,123.31999969482422
+2023-01-24,124.25,122.1999969482422,123.20999908447266
+2023-01-25,124.3000030517578,122.2300033569336,124.27999877929688
+2023-01-26,124.91000366210938,123.06999969482422,123.87000274658205
+2023-01-27,124.04000091552734,122.5199966430664,123.8499984741211
+2023-01-30,125.5,123.80999755859376,124.12000274658205
+2023-01-31,124.8499984741211,123.38999938964844,124.81999969482422
+2023-02-01,126.02999877929688,122.01000213623048,124.79000091552734
+2023-02-02,124.56999969482422,122.38999938964844,122.54000091552734
+2023-02-03,123.4000015258789,121.16999816894533,123.08000183105467
+2023-02-06,124.1999969482422,122.44000244140624,123.88999938964844
+2023-02-07,124.4499969482422,122.51000213623048,124.29000091552734
+2023-02-08,124.81999969482422,123.62000274658205,124.41999816894533
+2023-02-09,126.04000091552734,124.66999816894533,125.44000244140624
+2023-02-10,127.5199966430664,125.52999877929688,127.36000061035156
+2023-02-13,128.25999450683594,125.75,126.04000091552734
+2023-02-14,126.5,124.5199966430664,124.86000061035156
+2023-02-15,126.22000122070312,124.2699966430664,125.80999755859376
+2023-02-16,131.25,126.8000030517578,129.99000549316406
+2023-02-17,132.60000610351562,130.22000122070312,131.9600067138672
+",
+US,technical,"What is the value of Williams %R for Match Group on June 01, 2021? (Standard period: 14) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-36.129,easy,momentum,%R = (max_{i=0}^{n-1} H_{t-i} - C_t) / (max_{i=0}^{n-1} H_{t-i} - min_{i=0}^{n-1} L_{t-i}) * (-100),"date,high,low,close
+2021-05-12,144.0,140.25,141.6199951171875
+2021-05-13,144.25,135.50999450683594,138.39999389648438
+2021-05-14,142.83999633789062,139.00999450683594,142.19000244140625
+2021-05-17,141.14999389648438,138.27999877929688,139.99000549316406
+2021-05-18,142.77000427246094,136.5,136.86000061035156
+2021-05-19,139.1199951171875,132.3300018310547,138.83999633789062
+2021-05-20,143.22999572753906,137.02000427246094,142.77999877929688
+2021-05-21,145.49000549316406,142.75,143.32000732421875
+2021-05-24,148.42999267578125,143.3300018310547,147.3000030517578
+2021-05-25,149.3800048828125,142.85000610351562,144.25999450683594
+2021-05-26,146.39999389648438,143.1699981689453,144.63999938964844
+2021-05-27,145.4949951171875,142.4199981689453,143.00999450683594
+2021-05-28,145.3800048828125,142.17999267578125,143.3800048828125
+2021-06-01,145.6999969482422,141.52999877929688,143.22000122070312
+",
+US,technical,"On April 04, 2022, what is the Williams %R value for Baker Hughes? (Standard period: 14) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-46.5278,easy,momentum,%R = (max_{i=0}^{n-1} H_{t-i} - C_t) / (max_{i=0}^{n-1} H_{t-i} - min_{i=0}^{n-1} L_{t-i}) * (-100),"date,high,low,close
+2022-03-16,34.970001220703125,32.58000183105469,33.650001525878906
+2022-03-17,35.209999084472656,33.91999816894531,34.97999954223633
+2022-03-18,35.54999923706055,34.619998931884766,35.290000915527344
+2022-03-21,37.130001068115234,35.88999938964844,36.220001220703125
+2022-03-22,36.959999084472656,35.900001525878906,36.540000915527344
+2022-03-23,38.09000015258789,36.709999084472656,37.59000015258789
+2022-03-24,39.77999877929688,37.41999816894531,38.290000915527344
+2022-03-25,38.7400016784668,37.93000030517578,38.720001220703125
+2022-03-28,37.93999862670898,36.7400016784668,37.0
+2022-03-29,36.720001220703125,35.16999816894531,36.66999816894531
+2022-03-30,37.560001373291016,36.61000061035156,37.34999847412109
+2022-03-31,37.77000045776367,36.09999847412109,36.40999984741211
+2022-04-01,37.20000076293945,36.11000061035156,36.41999816894531
+2022-04-04,36.790000915527344,35.79999923706055,36.43000030517578
+",
+US,technical,"What was Automatic Data Processing's Williams %R on July 20, 2023? (Standard period: 14) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-6.5081,easy,momentum,%R = (max_{i=0}^{n-1} H_{t-i} - C_t) / (max_{i=0}^{n-1} H_{t-i} - min_{i=0}^{n-1} L_{t-i}) * (-100),"date,high,low,close
+2023-06-30,220.5500030517578,217.47000122070312,219.7899932861328
+2023-07-03,219.22999572753903,216.25,218.72999572753903
+2023-07-05,220.1999969482422,217.22000122070312,219.6999969482422
+2023-07-06,222.16000366210935,218.08999633789065,221.6499938964844
+2023-07-07,221.3500061035156,218.5200042724609,218.7400054931641
+2023-07-10,225.72999572753903,219.2100067138672,224.25999450683597
+2023-07-11,226.63999938964844,223.6199951171875,226.3800048828125
+2023-07-12,228.97000122070312,224.3699951171875,224.9900054931641
+2023-07-13,227.6100006103516,224.6100006103516,227.16000366210935
+2023-07-14,229.7100067138672,226.6199951171875,229.47000122070312
+2023-07-17,234.44000244140625,228.25999450683597,233.72000122070312
+2023-07-18,237.08999633789065,233.0,235.8999938964844
+2023-07-19,238.52999877929688,235.1100006103516,237.3300018310547
+2023-07-20,238.3300018310547,235.2899932861328,237.0800018310547
+",
+US,technical,"For Williams %R, what is the value of Quest Diagnostics on July 08, 2020? (Standard period: 14) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-6.8023,easy,momentum,%R = (max_{i=0}^{n-1} H_{t-i} - C_t) / (max_{i=0}^{n-1} H_{t-i} - min_{i=0}^{n-1} L_{t-i}) * (-100),"date,high,low,close
+2020-06-18,113.1500015258789,110.41000366210938,111.08999633789062
+2020-06-19,112.68000030517578,108.23999786376952,108.2699966430664
+2020-06-22,109.9800033569336,107.26000213623048,109.91000366210938
+2020-06-23,110.41000366210938,106.08999633789062,106.95999908447266
+2020-06-24,107.98999786376952,103.45999908447266,104.5500030517578
+2020-06-25,108.62999725341795,103.26000213623048,108.3000030517578
+2020-06-26,110.8000030517578,107.52999877929688,110.22000122070312
+2020-06-29,110.9000015258789,108.87999725341795,110.41999816894533
+2020-06-30,114.5,110.37999725341795,113.95999908447266
+2020-07-01,114.97000122070312,112.48999786376952,114.0500030517578
+2020-07-02,116.86000061035156,114.4000015258789,116.04000091552734
+2020-07-06,118.98999786376952,117.08999633789062,118.37000274658205
+2020-07-07,118.23999786376952,116.22000122070312,117.30999755859376
+2020-07-08,118.0,116.2699966430664,117.91999816894533
+",
+US,technical,"Calculate the Williams %R value for Regeneron Pharmaceuticals on October 18, 2021. (Standard period: 14) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-94.2204,easy,momentum,%R = (max_{i=0}^{n-1} H_{t-i} - C_t) / (max_{i=0}^{n-1} H_{t-i} - min_{i=0}^{n-1} L_{t-i}) * (-100),"date,high,low,close
+2021-09-29,612.739990234375,604.97998046875,606.7000122070312
+2021-09-30,613.5800170898438,604.6199951171875,605.1799926757812
+2021-10-01,578.0,556.0499877929688,570.7899780273438
+2021-10-04,568.1300048828125,553.0999755859375,555.4199829101562
+2021-10-05,564.72998046875,549.27001953125,550.9000244140625
+2021-10-06,553.9299926757812,543.4099731445312,546.5700073242188
+2021-10-07,559.75,547.3200073242188,552.02001953125
+2021-10-08,555.52001953125,543.25,550.02001953125
+2021-10-11,557.8699951171875,545.5999755859375,546.260009765625
+2021-10-12,549.3499755859375,541.5800170898438,544.4400024414062
+2021-10-13,556.1799926757812,546.969970703125,547.1199951171875
+2021-10-14,565.1099853515625,552.0700073242188,555.6199951171875
+2021-10-15,558.9299926757812,552.1599731445312,553.239990234375
+2021-10-18,552.489990234375,539.1799926757812,543.47998046875
+",
+US,technical,"What is the value of Bollinger %B for Host Hotels & Resorts on February 28, 2022? (Standard parameters: period 20, multiplier 2, use population standard deviation) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.5208,easy,volatility,Middle = SMA_n(P); Upper = Middle + 2 * \sigma_n(P); Lower = Middle - 2 * \sigma_n(P); %B = (P_t - Lower) / (Upper - Lower),"date,close
+2022-01-31,17.34000015258789
+2022-02-01,17.3700008392334
+2022-02-02,17.18000030517578
+2022-02-03,17.079999923706055
+2022-02-04,17.459999084472656
+2022-02-07,17.84000015258789
+2022-02-08,18.170000076293945
+2022-02-09,18.450000762939453
+2022-02-10,18.540000915527344
+2022-02-11,18.059999465942383
+2022-02-14,17.93000030517578
+2022-02-15,18.71999931335449
+2022-02-16,19.309999465942383
+2022-02-17,19.299999237060547
+2022-02-18,19.11000061035156
+2022-02-22,18.59000015258789
+2022-02-23,18.34000015258789
+2022-02-24,18.489999771118164
+2022-02-25,18.75
+2022-02-28,18.270000457763672
+",
+US,technical,"On February 10, 2025, what is the Bollinger %B value for Fair Isaac? (Standard parameters: period 20, multiplier 2, use population standard deviation) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.3942,easy,volatility,Middle = SMA_n(P); Upper = Middle + 2 * \sigma_n(P); Lower = Middle - 2 * \sigma_n(P); %B = (P_t - Lower) / (Upper - Lower),"date,close
+2025-01-13,1911.97998046875
+2025-01-14,1949.530029296875
+2025-01-15,2030.469970703125
+2025-01-16,1969.6800537109373
+2025-01-17,1900.5400390625
+2025-01-21,1894.18994140625
+2025-01-22,1880.3199462890625
+2025-01-23,1854.5999755859373
+2025-01-24,1814.8499755859373
+2025-01-27,1842.6400146484373
+2025-01-28,1851.0999755859373
+2025-01-29,1860.2099609375
+2025-01-30,1866.4200439453125
+2025-01-31,1873.56005859375
+2025-02-03,1827.9599609375
+2025-02-04,1809.699951171875
+2025-02-05,1847.800048828125
+2025-02-06,1887.300048828125
+2025-02-07,1858.8599853515625
+2025-02-10,1857.3499755859373
+",
+US,technical,"What was Digital Realty's Bollinger %B on June 09, 2022? (Standard parameters: period 20, multiplier 2, use population standard deviation) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.4789,easy,volatility,Middle = SMA_n(P); Upper = Middle + 2 * \sigma_n(P); Lower = Middle - 2 * \sigma_n(P); %B = (P_t - Lower) / (Upper - Lower),"date,close
+2022-05-12,127.11000061035156
+2022-05-13,131.19000244140625
+2022-05-16,128.41000366210938
+2022-05-17,128.64999389648438
+2022-05-18,125.29000091552734
+2022-05-19,127.66999816894533
+2022-05-20,131.10000610351562
+2022-05-23,133.52000427246094
+2022-05-24,136.6300048828125
+2022-05-25,137.85000610351562
+2022-05-26,136.7899932861328
+2022-05-27,141.50999450683594
+2022-05-31,139.58999633789062
+2022-06-01,137.44000244140625
+2022-06-02,138.3699951171875
+2022-06-03,134.49000549316406
+2022-06-06,134.91000366210938
+2022-06-07,135.25999450683594
+2022-06-08,132.85000610351562
+2022-06-09,133.22000122070312
+",
+US,technical,"For Bollinger %B, what is the value of Boston Scientific on June 30, 2025? (Standard parameters: period 20, multiplier 2, use population standard deviation) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0486,easy,volatility,Middle = SMA_n(P); Upper = Middle + 2 * \sigma_n(P); Lower = Middle - 2 * \sigma_n(P); %B = (P_t - Lower) / (Upper - Lower),"date,close
+2025-06-02,104.16999816894533
+2025-06-03,103.0999984741211
+2025-06-04,102.43000030517578
+2025-06-05,102.83000183105467
+2025-06-06,102.08999633789062
+2025-06-09,100.04000091552734
+2025-06-10,99.33999633789062
+2025-06-11,99.4000015258789
+2025-06-12,98.55999755859376
+2025-06-13,99.73999786376952
+2025-06-16,101.48999786376952
+2025-06-17,101.7300033569336
+2025-06-18,101.37000274658205
+2025-06-20,101.3000030517578
+2025-06-23,102.36000061035156
+2025-06-24,104.12000274658205
+2025-06-25,104.29000091552734
+2025-06-26,104.58000183105467
+2025-06-27,106.52999877929688
+2025-06-30,107.41000366210938
+",
+US,technical,"Calculate the Bollinger %B value for Netflix on August 17, 2021. (Standard parameters: period 20, multiplier 2, use population standard deviation) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.6805,easy,volatility,Middle = SMA_n(P); Upper = Middle + 2 * \sigma_n(P); Lower = Middle - 2 * \sigma_n(P); %B = (P_t - Lower) / (Upper - Lower),"date,close
+2021-07-21,51.36299896240234
+2021-07-22,51.17699813842773
+2021-07-23,51.54100036621094
+2021-07-26,51.64899826049805
+2021-07-27,51.89099884033203
+2021-07-28,51.93000030517578
+2021-07-29,51.42499923706055
+2021-07-30,51.75699996948242
+2021-08-02,51.51499938964844
+2021-08-03,51.08200073242188
+2021-08-04,51.73500061035156
+2021-08-05,52.48899841308594
+2021-08-06,52.05500030517578
+2021-08-09,51.99700164794922
+2021-08-10,51.58399963378906
+2021-08-11,51.2400016784668
+2021-08-12,51.071998596191406
+2021-08-13,51.59199905395508
+2021-08-16,51.79199981689453
+2021-08-17,51.89099884033203
+",
+US,technical,"What is the value of Average True Range for KeyCorp on October 01, 2021? (Standard period: 14; ATR calculation uses Wilder Smoothing, using the first data point as the initial value; Require 4n data points to warm up) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.5802,easy,volatility,"TR_t = max(H_t - L_t, |H_t - C_{t-1}|, |L_t - C_{t-1}|); ATR = Wilder_n(TR); Wilder Smoothing alpha = 1/n","date,high,low,close
+2021-07-14,20.399999618530277,19.68000030517578,19.989999771118164
+2021-07-15,20.32999992370605,19.700000762939453,20.15999984741211
+2021-07-16,20.34000015258789,19.299999237060547,19.350000381469727
+2021-07-19,19.01000022888184,18.350000381469727,18.489999771118164
+2021-07-20,19.399999618530277,17.899999618530273,19.100000381469727
+2021-07-21,19.65999984741211,19.299999237060547,19.40999984741211
+2021-07-22,19.34000015258789,18.8799991607666,19.0
+2021-07-23,19.530000686645508,19.01000022888184,19.100000381469727
+2021-07-26,19.530000686645508,19.15999984741211,19.350000381469727
+2021-07-27,19.540000915527344,18.989999771118164,19.36000061035156
+2021-07-28,19.809999465942383,19.209999084472656,19.59000015258789
+2021-07-29,20.059999465942383,19.6299991607666,19.8700008392334
+2021-07-30,20.06999969482422,19.549999237060547,19.65999984741211
+2021-08-02,20.309999465942383,19.530000686645508,19.540000915527344
+2021-08-03,20.06999969482422,19.299999237060547,20.01000022888184
+2021-08-04,20.100000381469727,19.59000015258789,19.6299991607666
+2021-08-05,19.989999771118164,19.76000022888184,19.899999618530277
+2021-08-06,20.559999465942383,20.15999984741211,20.32999992370605
+2021-08-09,20.46999931335449,20.0,20.200000762939453
+2021-08-10,20.68000030517578,20.07999992370605,20.57999992370605
+2021-08-11,20.920000076293945,20.3799991607666,20.8799991607666
+2021-08-12,20.93000030517578,20.6200008392334,20.82999992370605
+2021-08-13,20.989999771118164,20.57999992370605,20.68000030517578
+2021-08-16,20.63999938964844,20.21999931335449,20.520000457763672
+2021-08-17,20.459999084472656,19.920000076293945,20.209999084472656
+2021-08-18,20.420000076293945,19.989999771118164,20.020000457763672
+2021-08-19,19.979999542236328,19.56999969482422,19.739999771118164
+2021-08-20,19.920000076293945,19.59000015258789,19.90999984741211
+2021-08-23,20.270000457763672,20.020000457763672,20.15999984741211
+2021-08-24,20.479999542236328,20.18000030517578,20.40999984741211
+2021-08-25,20.979999542236328,20.38999938964844,20.850000381469727
+2021-08-26,20.940000534057617,20.420000076293945,20.51000022888184
+2021-08-27,20.940000534057617,20.479999542236328,20.88999938964844
+2021-08-30,20.75,20.15999984741211,20.170000076293945
+2021-08-31,20.479999542236328,20.1200008392334,20.31999969482422
+2021-09-01,20.36000061035156,19.920000076293945,20.01000022888184
+2021-09-02,20.31999969482422,19.93000030517578,20.1200008392334
+2021-09-03,21.11000061035156,19.899999618530277,20.049999237060547
+2021-09-07,20.38999938964844,20.030000686645508,20.040000915527344
+2021-09-08,20.059999465942383,19.700000762939453,19.739999771118164
+2021-09-09,20.15999984741211,19.61000061035156,19.96999931335449
+2021-09-10,20.15999984741211,19.84000015258789,19.8700008392334
+2021-09-13,20.76000022888184,20.020000457763672,20.71999931335449
+2021-09-14,20.940000534057617,20.459999084472656,20.600000381469727
+2021-09-15,21.13999938964844,20.700000762939453,21.0
+2021-09-16,21.21999931335449,20.850000381469727,20.88999938964844
+2021-09-17,21.18000030517578,20.68000030517578,20.76000022888184
+2021-09-20,20.190000534057617,19.68000030517578,20.059999465942383
+2021-09-21,20.25,19.799999237060547,19.93000030517578
+2021-09-22,20.530000686645508,20.18000030517578,20.309999465942383
+2021-09-23,21.13999938964844,20.489999771118164,20.96999931335449
+2021-09-24,21.34000015258789,20.96999931335449,21.13999938964844
+2021-09-27,21.93000030517578,21.38999938964844,21.81999969482422
+2021-09-28,22.11000061035156,21.700000762939453,21.75
+2021-09-29,22.06999969482422,21.65999984741211,21.989999771118164
+2021-09-30,22.18000030517578,21.6200008392334,21.6200008392334
+2021-10-01,22.5,21.780000686645508,22.34000015258789
+",
+US,technical,"On September 02, 2022, what is the Average True Range value for Idexx Laboratories? (Standard period: 14; ATR calculation uses Wilder Smoothing, using the first data point as the initial value; Require 4n data points to warm up) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",12.7413,easy,volatility,"TR_t = max(H_t - L_t, |H_t - C_{t-1}|, |L_t - C_{t-1}|); ATR = Wilder_n(TR); Wilder Smoothing alpha = 1/n","date,high,low,close
+2022-06-14,338.010009765625,322.7799987792969,328.989990234375
+2022-06-15,339.0599975585937,325.7699890136719,333.94000244140625
+2022-06-16,329.1499938964844,318.5,327.3699951171875
+2022-06-17,336.3099975585937,327.3800048828125,328.04998779296875
+2022-06-21,334.8399963378906,329.5299987792969,332.0299987792969
+2022-06-22,337.7300109863281,328.5,333.1099853515625
+2022-06-23,355.94000244140625,337.45001220703125,355.6199951171875
+2022-06-24,366.5499877929688,357.7699890136719,361.4800109863281
+2022-06-27,364.2999877929688,354.7799987792969,359.0299987792969
+2022-06-28,363.8500061035156,347.9200134277344,349.2099914550781
+2022-06-29,361.9200134277344,342.69000244140625,358.2200012207031
+2022-06-30,357.510009765625,342.510009765625,350.7300109863281
+2022-07-01,359.5299987792969,348.57000732421875,358.44000244140625
+2022-07-05,366.9700012207031,351.7799987792969,366.8699951171875
+2022-07-06,380.7799987792969,366.9800109863281,375.2200012207031
+2022-07-07,383.2000122070313,370.7300109863281,382.5199890136719
+2022-07-08,383.3800048828125,375.7099914550781,378.4500122070313
+2022-07-11,375.2000122070313,366.8200073242188,369.6600036621094
+2022-07-12,379.5899963378906,360.3900146484375,362.4599914550781
+2022-07-13,366.5899963378906,350.3900146484375,363.3299865722656
+2022-07-14,367.2000122070313,356.3500061035156,366.05999755859375
+2022-07-15,376.3399963378906,368.4200134277344,370.1400146484375
+2022-07-18,373.5400085449219,359.54998779296875,360.6000061035156
+2022-07-19,379.7000122070313,366.2999877929688,377.1000061035156
+2022-07-20,386.7300109863281,374.3900146484375,383.80999755859375
+2022-07-21,398.9100036621094,387.3699951171875,398.3500061035156
+2022-07-22,408.6000061035156,389.6199951171875,393.510009765625
+2022-07-25,383.8599853515625,371.8999938964844,375.55999755859375
+2022-07-26,381.6000061035156,373.0499877929688,377.0
+2022-07-27,387.4800109863281,376.8500061035156,385.9599914550781
+2022-07-28,399.0400085449219,383.6199951171875,398.55999755859375
+2022-07-29,403.2000122070313,391.9200134277344,399.1799926757813
+2022-08-01,401.9700012207031,392.5899963378906,398.1300048828125
+2022-08-02,410.0,380.3800048828125,398.9299926757813
+2022-08-03,410.5199890136719,396.6099853515625,406.8699951171875
+2022-08-04,410.1700134277344,401.30999755859375,405.0199890136719
+2022-08-05,409.739990234375,394.510009765625,407.7799987792969
+2022-08-08,417.7699890136719,406.3299865722656,407.0
+2022-08-09,407.010009765625,388.3599853515625,388.6000061035156
+2022-08-10,401.5700073242188,394.4100036621094,400.2900085449219
+2022-08-11,409.9500122070313,395.1400146484375,396.6799926757813
+2022-08-12,407.0899963378906,393.8800048828125,396.4299926757813
+2022-08-15,398.6300048828125,387.8699951171875,390.8500061035156
+2022-08-16,387.8999938964844,370.9599914550781,382.239990234375
+2022-08-17,379.3399963378906,368.1700134277344,374.010009765625
+2022-08-18,376.1000061035156,366.25,374.75
+2022-08-19,376.6700134277344,369.7799987792969,373.739990234375
+2022-08-22,369.0,356.1300048828125,358.3999938964844
+2022-08-23,359.1199951171875,352.29998779296875,356.9100036621094
+2022-08-24,362.75,355.5,360.5499877929688
+2022-08-25,371.8699951171875,360.8999938964844,371.2099914550781
+2022-08-26,374.5,349.1300048828125,349.8999938964844
+2022-08-29,351.8500061035156,345.75,349.04998779296875
+2022-08-30,353.69000244140625,345.6600036621094,348.8399963378906
+2022-08-31,356.07000732421875,346.25,347.6199951171875
+2022-09-01,350.5,337.8999938964844,349.92999267578125
+2022-09-02,355.5899963378906,341.1300048828125,343.8299865722656
+",
+US,technical,"What was Mosaic Company (The)'s Average True Range on December 28, 2023? (Standard period: 14; ATR calculation uses Wilder Smoothing, using the first data point as the initial value; Require 4n data points to warm up) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0629,easy,volatility,"TR_t = max(H_t - L_t, |H_t - C_{t-1}|, |L_t - C_{t-1}|); ATR = Wilder_n(TR); Wilder Smoothing alpha = 1/n","date,high,low,close
+2023-10-09,36.0099983215332,33.95000076293945,35.97999954223633
+2023-10-10,36.90999984741211,36.08000183105469,36.47999954223633
+2023-10-11,37.02000045776367,35.849998474121094,36.130001068115234
+2023-10-12,36.459999084472656,35.400001525878906,36.13999938964844
+2023-10-13,37.0,35.959999084472656,36.36000061035156
+2023-10-16,37.02999877929688,36.36000061035156,36.38999938964844
+2023-10-17,37.41999816894531,36.150001525878906,37.130001068115234
+2023-10-18,37.13999938964844,36.41999816894531,36.68000030517578
+2023-10-19,37.22999954223633,36.29999923706055,36.43999862670898
+2023-10-20,36.20000076293945,35.189998626708984,35.40999984741211
+2023-10-23,34.70000076293945,33.529998779296875,33.68000030517578
+2023-10-24,34.66999816894531,33.869998931884766,34.15999984741211
+2023-10-25,33.939998626708984,33.02000045776367,33.36000061035156
+2023-10-26,33.93000030517578,33.36000061035156,33.65999984741211
+2023-10-27,33.7400016784668,32.900001525878906,33.09000015258789
+2023-10-30,34.119998931884766,33.2400016784668,33.47999954223633
+2023-10-31,33.279998779296875,32.22999954223633,32.47999954223633
+2023-11-01,32.7400016784668,31.950000762939453,32.290000915527344
+2023-11-02,33.68000030517578,32.119998931884766,33.65999984741211
+2023-11-03,34.150001525878906,33.0,33.36000061035156
+2023-11-06,33.5099983215332,32.40999984741211,32.47999954223633
+2023-11-07,32.33000183105469,31.739999771118164,31.93000030517578
+2023-11-08,33.5099983215332,31.600000381469727,32.77000045776367
+2023-11-09,34.70000076293945,33.209999084472656,33.619998931884766
+2023-11-10,33.72999954223633,33.0099983215332,33.63999938964844
+2023-11-13,34.66999816894531,33.45000076293945,34.5
+2023-11-14,36.34999847412109,35.369998931884766,35.90999984741211
+2023-11-15,37.4900016784668,35.9900016784668,37.310001373291016
+2023-11-16,37.63999938964844,36.16999816894531,36.77999877929688
+2023-11-17,37.18000030517578,35.72999954223633,36.150001525878906
+2023-11-20,36.25,35.5099983215332,36.209999084472656
+2023-11-21,36.22999954223633,35.439998626708984,35.91999816894531
+2023-11-22,36.06999969482422,35.099998474121094,36.0099983215332
+2023-11-24,36.93999862670898,36.09999847412109,36.40999984741211
+2023-11-27,36.16999816894531,35.68000030517578,36.0
+2023-11-28,36.41999816894531,35.439998626708984,36.27999877929688
+2023-11-29,36.75,36.119998931884766,36.41999816894531
+2023-11-30,36.5,35.61000061035156,35.88999938964844
+2023-12-01,37.130001068115234,35.81999969482422,36.900001525878906
+2023-12-04,36.959999084472656,36.02000045776367,36.11000061035156
+2023-12-05,36.220001220703125,35.060001373291016,35.150001525878906
+2023-12-06,35.7599983215332,34.97999954223633,35.08000183105469
+2023-12-07,36.43999862670898,35.349998474121094,35.90999984741211
+2023-12-08,36.22999954223633,35.310001373291016,35.68000030517578
+2023-12-11,35.95000076293945,35.22999954223633,35.88999938964844
+2023-12-12,35.720001220703125,34.65999984741211,34.77000045776367
+2023-12-13,36.540000915527344,34.560001373291016,36.459999084472656
+2023-12-14,38.060001373291016,36.97999954223633,37.09999847412109
+2023-12-15,37.29999923706055,36.22999954223633,36.619998931884766
+2023-12-18,37.709999084472656,36.959999084472656,37.0
+2023-12-19,38.29999923706055,37.209999084472656,38.150001525878906
+2023-12-20,37.630001068115234,35.970001220703125,35.97999954223633
+2023-12-21,36.4900016784668,35.650001525878906,36.33000183105469
+2023-12-22,36.93000030517578,36.04999923706055,36.209999084472656
+2023-12-26,36.59999847412109,36.15999984741211,36.40999984741211
+2023-12-27,36.68999862670898,36.2400016784668,36.54999923706055
+2023-12-28,36.72999954223633,36.09000015258789,36.11000061035156
+",
+US,technical,"For Average True Range, what is the value of Synchrony Financial on October 23, 2024? (Standard period: 14; ATR calculation uses Wilder Smoothing, using the first data point as the initial value; Require 4n data points to warm up) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.3878,easy,volatility,"TR_t = max(H_t - L_t, |H_t - C_{t-1}|, |L_t - C_{t-1}|); ATR = Wilder_n(TR); Wilder Smoothing alpha = 1/n","date,high,low,close
+2024-08-05,44.060001373291016,41.994998931884766,43.77000045776367
+2024-08-06,45.01499938964844,43.560001373291016,44.310001373291016
+2024-08-07,45.959999084472656,44.220001220703125,44.29999923706055
+2024-08-08,45.97999954223633,44.869998931884766,45.7599983215332
+2024-08-09,46.59999847412109,45.77000045776367,46.56999969482422
+2024-08-12,46.93000030517578,45.415000915527344,45.650001525878906
+2024-08-13,45.97499847412109,45.33000183105469,45.7400016784668
+2024-08-14,46.584999084472656,45.619998931884766,46.31999969482422
+2024-08-15,47.744998931884766,45.81999969482422,45.88999938964844
+2024-08-16,46.68999862670898,45.84000015258789,46.619998931884766
+2024-08-19,47.650001525878906,46.70000076293945,47.630001068115234
+2024-08-20,47.5099983215332,46.77999877929688,47.11000061035156
+2024-08-21,47.36199951171875,46.7599983215332,47.2400016784668
+2024-08-22,47.56999969482422,47.0099983215332,47.20000076293945
+2024-08-23,48.790000915527344,47.20000076293945,48.59999847412109
+2024-08-26,49.10499954223633,48.560001373291016,48.869998931884766
+2024-08-27,49.20000076293945,48.59999847412109,48.810001373291016
+2024-08-28,49.54999923706055,48.52999877929688,49.52000045776367
+2024-08-29,50.220001220703125,49.27000045776367,49.77999877929688
+2024-08-30,50.560001373291016,49.65999984741211,50.2599983215332
+2024-09-03,49.959999084472656,49.0,49.29999923706055
+2024-09-04,49.93000030517578,48.77999877929688,49.18999862670898
+2024-09-05,49.720001220703125,48.310001373291016,48.66999816894531
+2024-09-06,49.53900146484375,47.150001525878906,47.40999984741211
+2024-09-09,48.54999923706055,47.65999984741211,48.16999816894531
+2024-09-10,47.630001068115234,44.0,46.150001525878906
+2024-09-11,46.16999816894531,44.630001068115234,45.84000015258789
+2024-09-12,46.43000030517578,45.44499969482422,46.40999984741211
+2024-09-13,47.34000015258789,46.68999862670898,47.130001068115234
+2024-09-16,47.459999084472656,46.51499938964844,47.33000183105469
+2024-09-17,49.58000183105469,47.52000045776367,49.18999862670898
+2024-09-18,49.650001525878906,48.36000061035156,48.88999938964844
+2024-09-19,51.22999954223633,49.58000183105469,51.02999877929688
+2024-09-20,51.15499877929688,50.38999938964844,50.58000183105469
+2024-09-23,51.31999969482422,49.67499923706055,49.70000076293945
+2024-09-24,49.90999984741211,47.59000015258789,48.209999084472656
+2024-09-25,48.5,47.89500045776367,48.20000076293945
+2024-09-26,49.209999084472656,47.959999084472656,49.040000915527344
+2024-09-27,50.18000030517578,48.95000076293945,49.650001525878906
+2024-09-30,49.90999984741211,49.150001525878906,49.880001068115234
+2024-10-01,49.7599983215332,48.27999877929688,49.0099983215332
+2024-10-02,50.26499938964844,48.880001068115234,49.58000183105469
+2024-10-03,49.91999816894531,48.69499969482422,49.560001373291016
+2024-10-04,51.93999862670898,50.619998931884766,51.86000061035156
+2024-10-07,51.959999084472656,51.220001220703125,51.56999969482422
+2024-10-08,51.86000061035156,51.02000045776367,51.18999862670898
+2024-10-09,52.0890007019043,51.13999938964844,52.0
+2024-10-10,52.290000915527344,51.40999984741211,51.58000183105469
+2024-10-11,53.29999923706055,51.77000045776367,53.150001525878906
+2024-10-14,53.91999816894531,52.625,53.68999862670898
+2024-10-15,54.790000915527344,53.18000030517578,53.290000915527344
+2024-10-16,56.59000015258789,54.0099983215332,56.52000045776367
+2024-10-17,57.26499938964844,56.02999877929688,56.70000076293945
+2024-10-18,56.47999954223633,55.040000915527344,56.41999816894531
+2024-10-21,56.58000183105469,55.54999923706055,55.810001373291016
+2024-10-22,55.810001373291016,55.18999862670898,55.66999816894531
+2024-10-23,55.84000015258789,54.55500030517578,55.0
+",
+US,technical,"Calculate the Average True Range value for Oracle Corporation on December 26, 2024. (Standard period: 14; ATR calculation uses Wilder Smoothing, using the first data point as the initial value; Require 4n data points to warm up) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",4.8355,easy,volatility,"TR_t = max(H_t - L_t, |H_t - C_{t-1}|, |L_t - C_{t-1}|); ATR = Wilder_n(TR); Wilder Smoothing alpha = 1/n","date,high,low,close
+2024-10-07,172.3300018310547,169.5500030517578,169.97000122070312
+2024-10-08,174.63999938964844,170.44000244140625,174.3699951171875
+2024-10-09,178.61000061035156,173.80999755859375,178.2899932861328
+2024-10-10,178.3000030517578,174.17999267578125,175.41000366210938
+2024-10-11,177.0,174.39999389648438,175.77000427246094
+2024-10-14,177.22000122070312,175.5,176.1199951171875
+2024-10-15,178.22000122070312,173.75,174.08999633789062
+2024-10-16,174.91000366210938,171.63999938964844,174.77000427246094
+2024-10-17,177.75,175.13999938964844,175.67999267578125
+2024-10-18,176.97000122070312,174.5800018310547,174.69000244140625
+2024-10-21,175.14999389648438,173.16000366210938,173.75999450683594
+2024-10-22,175.85000610351562,174.27999877929688,175.30999755859375
+2024-10-23,176.07000732421875,173.00999450683594,173.10000610351562
+2024-10-24,174.9499969482422,172.91000366210938,174.3800048828125
+2024-10-25,176.2899932861328,173.10000610351562,173.52000427246094
+2024-10-28,174.1699981689453,172.13999938964844,172.4199981689453
+2024-10-29,174.02000427246094,172.2899932861328,173.42999267578125
+2024-10-30,176.16000366210938,172.7899932861328,174.55999755859375
+2024-10-31,170.8800048828125,167.39999389648438,167.83999633789062
+2024-11-01,172.27000427246094,169.10000610351562,170.02000427246094
+2024-11-04,170.47999572753906,168.72999572753906,169.58999633789062
+2024-11-05,171.88999938964844,170.32000732421875,171.77999877929688
+2024-11-06,182.1000061035156,177.4199981689453,181.2400054931641
+2024-11-07,186.6699981689453,180.5399932861328,186.3699951171875
+2024-11-08,190.16000366210935,186.25999450683597,189.25
+2024-11-11,191.5,187.83999633789065,189.1300048828125
+2024-11-12,190.6100006103516,187.1999969482422,189.5800018310547
+2024-11-13,191.7700042724609,188.7899932861328,189.6300048828125
+2024-11-14,189.58999633789065,186.7100067138672,187.0500030517578
+2024-11-15,185.8000030517578,182.3300018310547,183.7400054931641
+2024-11-18,186.17999267578125,182.8800048828125,185.72999572753903
+2024-11-19,189.32000732421875,184.32000732421875,188.8999938964844
+2024-11-20,190.97000122070312,187.82000732421875,190.75
+2024-11-21,196.0399932861328,191.63999938964844,192.42999267578125
+2024-11-22,194.1999969482422,191.05999755859372,192.2899932861328
+2024-11-25,194.75,187.9900054931641,187.9900054931641
+2024-11-26,192.3999938964844,188.32000732421875,190.3699951171875
+2024-11-27,188.9600067138672,182.22000122070312,182.6999969482422
+2024-11-29,185.92999267578125,184.0,184.83999633789065
+2024-12-02,185.2899932861328,181.0,181.41000366210935
+2024-12-03,183.0399932861328,179.11000061035156,182.88999938964844
+2024-12-04,189.7899932861328,185.8999938964844,188.19000244140625
+2024-12-05,189.0200042724609,185.8500061035156,186.2400054931641
+2024-12-06,192.6300048828125,186.3800048828125,191.69000244140625
+2024-12-09,198.30999755859372,188.92999267578125,190.4499969482422
+2024-12-10,177.8000030517578,171.05999755859375,177.74000549316406
+2024-12-11,181.3800048828125,174.8300018310547,178.5800018310547
+2024-12-12,178.1699981689453,174.80999755859375,175.32000732421875
+2024-12-13,176.13999938964844,171.63999938964844,173.38999938964844
+2024-12-16,174.27000427246094,170.92999267578125,171.22999572753906
+2024-12-17,172.99000549316406,169.27000427246094,169.7100067138672
+2024-12-18,171.22999572753906,165.36000061035156,165.41000366210938
+2024-12-19,171.0,167.39999389648438,168.7899932861328
+2024-12-20,171.25999450683594,165.6300048828125,169.66000366210938
+2024-12-23,169.6199951171875,167.1699981689453,169.13999938964844
+2024-12-24,171.77000427246094,169.02999877929688,171.41000366210938
+2024-12-26,172.5500030517578,170.5,171.67999267578125
+",
+US,technical,"What is the value of Ease of Movement for Procter & Gamble on December 29, 2022? (Standard period: 14; volume is scaled in millions in the denominator to avoid extreme values) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0837,easy,volume,MidMove_t = ((H_t + L_t) / 2 - (H_{t-1} + L_{t-1}) / 2) / ((V_t / 10^6) / (H_t - L_t)); EMV = SMA_n(MidMove),"date,high,low,volume
+2022-12-08,151.3800048828125,149.00999450683594,5187100
+2022-12-09,151.9499969482422,150.22000122070312,5868200
+2022-12-12,152.55999755859375,151.0399932861328,6142400
+2022-12-13,154.22999572753906,150.7899932861328,7680600
+2022-12-14,154.44000244140625,152.1699981689453,7385600
+2022-12-15,152.0,149.74000549316406,7117200
+2022-12-16,151.07000732421875,149.02000427246094,19966400
+2022-12-19,151.3800048828125,149.24000549316406,5881800
+2022-12-20,150.89999389648438,149.27000427246094,5646100
+2022-12-21,152.6300048828125,150.72000122070312,5024700
+2022-12-22,152.41000366210938,150.8800048828125,5904900
+2022-12-23,152.9199981689453,151.6699981689453,3401800
+2022-12-27,154.32000732421875,152.66000366210938,4215100
+2022-12-28,154.64999389648438,151.89999389648438,4197500
+2022-12-29,153.24000549316406,152.13999938964844,3809100
+",
+US,technical,"On October 31, 2025, what is the Ease of Movement value for Baker Hughes? (Standard period: 14; volume is scaled in millions in the denominator to avoid extreme values) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0294,easy,volume,MidMove_t = ((H_t + L_t) / 2 - (H_{t-1} + L_{t-1}) / 2) / ((V_t / 10^6) / (H_t - L_t)); EMV = SMA_n(MidMove),"date,high,low,volume
+2025-10-13,45.93999862670898,45.040000915527344,11107900
+2025-10-14,45.36000061035156,43.91999816894531,9227800
+2025-10-15,45.66999816894531,44.220001220703125,7972200
+2025-10-16,45.119998931884766,44.25,8097300
+2025-10-17,45.5,44.41999816894531,8216300
+2025-10-20,46.38999938964844,45.20000076293945,6771900
+2025-10-21,47.40999984741211,45.630001068115234,11386600
+2025-10-22,48.33000183105469,46.720001220703125,8747500
+2025-10-23,49.08000183105469,48.0,9548800
+2025-10-24,50.41999816894531,46.84999847412109,13058600
+2025-10-27,48.20000076293945,46.119998931884766,8753600
+2025-10-28,47.97999954223633,46.38999938964844,9193800
+2025-10-29,48.84999847412109,47.58000183105469,7071700
+2025-10-30,49.15999984741211,47.70000076293945,6193500
+2025-10-31,48.97999954223633,47.95000076293945,6960400
+",
+US,technical,"What was Adobe Inc.'s Ease of Movement on April 28, 2022? (Standard period: 14; volume is scaled in millions in the denominator to avoid extreme values) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-11.7822,easy,volume,MidMove_t = ((H_t + L_t) / 2 - (H_{t-1} + L_{t-1}) / 2) / ((V_t / 10^6) / (H_t - L_t)); EMV = SMA_n(MidMove),"date,high,low,volume
+2022-04-07,455.9200134277344,440.760009765625,2757800
+2022-04-08,454.4100036621094,443.3699951171875,2260700
+2022-04-11,440.0,429.739990234375,2932100
+2022-04-12,444.4400024414063,425.1600036621094,2199000
+2022-04-13,433.5199890136719,425.6700134277344,3078900
+2022-04-14,435.9500122070313,420.0299987792969,2597000
+2022-04-18,429.6900024414063,418.7300109863281,2594700
+2022-04-19,437.489990234375,420.6400146484375,1962700
+2022-04-20,442.4400024414063,427.2000122070313,2094400
+2022-04-21,438.9400024414063,416.3599853515625,2390100
+2022-04-22,424.3299865722656,408.0199890136719,3198800
+2022-04-25,414.0799865722656,401.6700134277344,3368800
+2022-04-26,411.6099853515625,397.4700012207031,2820100
+2022-04-27,412.4599914550781,396.80999755859375,3080700
+2022-04-28,414.2699890136719,398.489990234375,2593900
+",
+US,technical,"For Ease of Movement, what is the value of Kraft Heinz on March 02, 2023? (Standard period: 14; volume is scaled in millions in the denominator to avoid extreme values) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-0.0038,easy,volume,MidMove_t = ((H_t + L_t) / 2 - (H_{t-1} + L_{t-1}) / 2) / ((V_t / 10^6) / (H_t - L_t)); EMV = SMA_n(MidMove),"date,high,low,volume
+2023-02-09,39.34000015258789,38.68000030517578,4941900
+2023-02-10,39.84999847412109,38.93999862670898,5555200
+2023-02-13,40.380001068115234,39.7599983215332,6591800
+2023-02-14,40.40999984741211,39.7400016784668,7316000
+2023-02-15,40.27999877929688,39.380001068115234,7756100
+2023-02-16,39.8849983215332,39.27999877929688,8923000
+2023-02-17,40.20000076293945,39.619998931884766,10134500
+2023-02-21,40.25,39.27999877929688,8349000
+2023-02-22,40.040000915527344,39.470001220703125,6589400
+2023-02-23,39.89500045776367,39.47999954223633,4959200
+2023-02-24,39.82500076293945,39.45000076293945,5082100
+2023-02-27,40.01499938964844,39.54100036621094,4497200
+2023-02-28,39.68999862670898,38.869998931884766,8956200
+2023-03-01,38.900001525878906,38.09999847412109,5550400
+2023-03-02,38.8849983215332,38.369998931884766,3976800
+",
+US,technical,"Calculate the Ease of Movement value for Gartner on June 30, 2025. (Standard period: 14; volume is scaled in millions in the denominator to avoid extreme values) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-14.4711,easy,volume,MidMove_t = ((H_t + L_t) / 2 - (H_{t-1} + L_{t-1}) / 2) / ((V_t / 10^6) / (H_t - L_t)); EMV = SMA_n(MidMove),"date,high,low,volume
+2025-06-09,426.2900085449219,420.3299865722656,509100
+2025-06-10,430.1900024414063,419.8599853515625,913200
+2025-06-11,424.8699951171875,411.5899963378906,1042100
+2025-06-12,416.739990234375,410.9200134277344,1023800
+2025-06-13,413.260009765625,404.510009765625,558800
+2025-06-16,409.9800109863281,405.7799987792969,680400
+2025-06-17,409.9500122070313,404.0,460000
+2025-06-18,406.6400146484375,398.8399963378906,712100
+2025-06-20,401.25,390.1600036621094,1951500
+2025-06-23,398.5199890136719,390.7099914550781,1715900
+2025-06-24,402.30999755859375,395.260009765625,936000
+2025-06-25,404.30999755859375,397.3800048828125,832100
+2025-06-26,404.9599914550781,398.4700012207031,897500
+2025-06-27,408.55999755859375,400.010009765625,1040400
+2025-06-30,406.5799865722656,402.1199951171875,957700
+",
+US,technical,"What is the value of Money Flow Index for Skyworks Solutions on December 26, 2025? (Standard period: 14) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",22.2554,easy,volume,TP_t = (H_t + L_t + C_t) / 3; MF_t = TP_t * V_t; PMF_t = MF_t * \mathbb{1}[TP_t > TP_{t-1}]; NMF_t = MF_t * \mathbb{1}[TP_t < TP_{t-1}]; MFR = \sum_{i=0}^{n-1} PMF_{t-i} / \sum_{i=0}^{n-1} NMF_{t-i}; MFI = 100 - 100 / (1 + MFR),"date,high,low,close,volume
+2025-12-05,70.0999984741211,68.47000122070312,69.31999969482422,2415700
+2025-12-08,70.30999755859375,68.61000061035156,69.20999908447266,2583700
+2025-12-09,69.44999694824219,68.04000091552734,68.54000091552734,2468400
+2025-12-10,69.5999984741211,67.72000122070312,68.80999755859375,2951900
+2025-12-11,68.5199966430664,67.08999633789062,68.25,2158300
+2025-12-12,68.80999755859375,66.5999984741211,66.97000122070312,3372900
+2025-12-15,68.11000061035156,66.16000366210938,66.37000274658203,2429100
+2025-12-16,66.93000030517578,65.05000305175781,66.0199966430664,2556400
+2025-12-17,66.77999877929688,64.4800033569336,65.0,2179100
+2025-12-18,66.33999633789062,64.44000244140625,64.48999786376953,2646000
+2025-12-19,65.5199966430664,64.1500015258789,64.68000030517578,5855300
+2025-12-22,65.80000305175781,64.87000274658203,65.23999786376953,2139900
+2025-12-23,65.25,64.29000091552734,64.4800033569336,1755200
+2025-12-24,65.11000061035156,64.20999908447266,64.51000213623047,743000
+2025-12-26,64.83999633789062,64.16999816894531,64.20999908447266,1433500
+",
+US,technical,"On March 26, 2020, what is the Money Flow Index value for Dow Inc.? (Standard period: 14) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",44.5612,easy,volume,TP_t = (H_t + L_t + C_t) / 3; MF_t = TP_t * V_t; PMF_t = MF_t * \mathbb{1}[TP_t > TP_{t-1}]; NMF_t = MF_t * \mathbb{1}[TP_t < TP_{t-1}]; MFR = \sum_{i=0}^{n-1} PMF_{t-i} / \sum_{i=0}^{n-1} NMF_{t-i}; MFI = 100 - 100 / (1 + MFR),"date,high,low,close,volume
+2020-03-06,39.68999862670898,38.310001373291016,38.970001220703125,6928400
+2020-03-09,34.939998626708984,30.43000030517578,30.530000686645508,15081500
+2020-03-10,33.33000183105469,29.315000534057617,31.399999618530277,12975400
+2020-03-11,30.32999992370605,27.850000381469727,27.989999771118164,12444100
+2020-03-12,26.38999938964844,22.38999938964844,23.670000076293945,18163300
+2020-03-13,28.01000022888184,22.57999992370605,25.690000534057617,17350800
+2020-03-16,25.43000030517578,21.950000762939453,22.0,12345400
+2020-03-17,27.600000381469727,22.739999771118164,26.600000381469727,19873300
+2020-03-18,28.290000915527344,24.51000022888184,26.440000534057617,16955900
+2020-03-19,31.350000381469727,25.93000030517578,28.1200008392334,13893400
+2020-03-20,29.690000534057617,26.59000015258789,27.440000534057617,12649100
+2020-03-23,28.43000030517578,26.01000022888184,26.57999992370605,11703100
+2020-03-24,29.959999084472656,26.899999618530277,28.46999931335449,12333600
+2020-03-25,32.42499923706055,28.600000381469727,30.3799991607666,10539200
+2020-03-26,31.299999237060547,28.950000762939453,29.68000030517578,14298600
+",
+US,technical,"What was Microchip Technology's Money Flow Index on January 28, 2025? (Standard period: 14) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",56.0,easy,volume,TP_t = (H_t + L_t + C_t) / 3; MF_t = TP_t * V_t; PMF_t = MF_t * \mathbb{1}[TP_t > TP_{t-1}]; NMF_t = MF_t * \mathbb{1}[TP_t < TP_{t-1}]; MFR = \sum_{i=0}^{n-1} PMF_{t-i} / \sum_{i=0}^{n-1} NMF_{t-i}; MFI = 100 - 100 / (1 + MFR),"date,high,low,close,volume
+2025-01-06,59.86000061035156,57.79999923706055,58.290000915527344,6946000
+2025-01-07,59.27999877929688,57.209999084472656,57.470001220703125,10217500
+2025-01-08,57.5,56.0099983215332,56.380001068115234,6226800
+2025-01-10,55.869998931884766,54.470001220703125,55.18999862670898,7634000
+2025-01-13,56.02999877929688,54.81999969482422,55.90999984741211,6656100
+2025-01-14,56.90999984741211,55.380001068115234,56.880001068115234,6015300
+2025-01-15,58.43000030517578,56.959999084472656,57.0,8972300
+2025-01-16,57.27000045776367,55.34000015258789,56.18999862670898,7925700
+2025-01-17,58.470001220703125,57.18000030517578,57.970001220703125,8272700
+2025-01-21,59.66999816894531,57.61000061035156,58.5099983215332,6996100
+2025-01-22,59.36000061035156,58.02999877929688,58.47999954223633,6901700
+2025-01-23,59.58000183105469,56.970001220703125,59.56999969482422,6335100
+2025-01-24,59.16999816894531,55.75,56.38999938964844,10300600
+2025-01-27,58.34000015258789,56.630001068115234,57.22999954223633,15094900
+2025-01-28,56.79999923706055,55.369998931884766,56.27999877929688,9813500
+",
+US,technical,"For Money Flow Index, what is the value of Applied Materials on May 06, 2021? (Standard period: 14) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",39.9292,easy,volume,TP_t = (H_t + L_t + C_t) / 3; MF_t = TP_t * V_t; PMF_t = MF_t * \mathbb{1}[TP_t > TP_{t-1}]; NMF_t = MF_t * \mathbb{1}[TP_t < TP_{t-1}]; MFR = \sum_{i=0}^{n-1} PMF_{t-i} / \sum_{i=0}^{n-1} NMF_{t-i}; MFI = 100 - 100 / (1 + MFR),"date,high,low,close,volume
+2021-04-16,134.74000549316406,133.00999450683594,133.72999572753906,7686300
+2021-04-19,135.27999877929688,128.6999969482422,130.88999938964844,12826400
+2021-04-20,131.6699981689453,128.30999755859375,128.58999633789062,7583300
+2021-04-21,135.16000366210938,129.0,135.0500030517578,12108800
+2021-04-22,135.74000549316406,130.4499969482422,131.75,11483500
+2021-04-23,135.1699981689453,132.75,134.86000061035156,8079100
+2021-04-26,138.6699981689453,134.1999969482422,137.3000030517578,7927200
+2021-04-27,138.25,135.5500030517578,136.77999877929688,5767400
+2021-04-28,136.9199981689453,134.57000732421875,135.69000244140625,6172700
+2021-04-29,137.60000610351562,133.08999633789062,135.38999938964844,6668400
+2021-04-30,134.39999389648438,131.39999389648438,132.7100067138672,8691800
+2021-05-03,135.61000061035156,131.6999969482422,132.85000610351562,7750200
+2021-05-04,130.67999267578125,125.31999969482422,128.72000122070312,14199100
+2021-05-05,132.52000427246094,128.75999450683594,130.2899932861328,7276600
+2021-05-06,131.88999938964844,127.76000213623048,131.72999572753906,7270500
+",
+US,technical,"Calculate the Money Flow Index value for Johnson & Johnson on February 13, 2020. (Standard period: 14) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",57.6964,easy,volume,TP_t = (H_t + L_t + C_t) / 3; MF_t = TP_t * V_t; PMF_t = MF_t * \mathbb{1}[TP_t > TP_{t-1}]; NMF_t = MF_t * \mathbb{1}[TP_t < TP_{t-1}]; MFR = \sum_{i=0}^{n-1} PMF_{t-i} / \sum_{i=0}^{n-1} NMF_{t-i}; MFI = 100 - 100 / (1 + MFR),"date,high,low,close,volume
+2020-01-24,148.9499969482422,147.92999267578125,148.32000732421875,9051900
+2020-01-27,149.4600067138672,147.0,148.75,7587100
+2020-01-28,150.57000732421875,148.14999389648438,149.5,7336600
+2020-01-29,151.19000244140625,149.1300048828125,150.5399932861328,6288600
+2020-01-30,150.50999450683594,149.0500030517578,150.36000061035156,6470600
+2020-01-31,150.0,148.63999938964844,148.8699951171875,8651700
+2020-02-03,150.49000549316406,149.24000549316406,150.1699981689453,5765200
+2020-02-04,152.75,151.1999969482422,151.60000610351562,6541400
+2020-02-05,154.02000427246094,151.30999755859375,153.99000549316406,5979900
+2020-02-06,154.5,152.74000549316406,153.52999877929688,6201200
+2020-02-07,153.4600067138672,151.5500030517578,151.88999938964844,5700300
+2020-02-10,151.91000366210938,150.88999938964844,151.86000061035156,4835600
+2020-02-11,152.3800048828125,151.5399932861328,151.99000549316406,3715300
+2020-02-12,152.14999389648438,150.9199981689453,151.08999633789062,5166800
+2020-02-13,151.0399932861328,149.8800048828125,150.08999633789062,5480200
+",
+US,technical,"What is the value of Stochastic %K for Loews Corporation on March 24, 2020? (Standard parameters: 14, 3, 3; Calculates Slow Stochastic by default) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",12.0821,easy,momentum,"K = SMA(RSV, k); RSV = (C - Low_n) / (High_n - Low_n) * 100","date,high,low,close
+2020-02-25,52.33000183105469,50.27999877929688,50.36000061035156
+2020-02-26,51.02000045776367,48.880001068115234,48.95000076293945
+2020-02-27,48.33000183105469,46.209999084472656,46.209999084472656
+2020-02-28,45.650001525878906,43.970001220703125,45.630001068115234
+2020-03-02,48.709999084472656,45.54999923706055,48.68999862670898
+2020-03-03,49.04999923706055,46.86000061035156,47.08000183105469
+2020-03-04,48.58000183105469,46.81999969482422,48.5
+2020-03-05,47.150001525878906,45.18000030517578,45.52999877929688
+2020-03-06,44.65999984741211,43.209999084472656,44.18000030517578
+2020-03-09,41.93999862670898,38.630001068115234,39.38999938964844
+2020-03-10,43.2400016784668,40.2599983215332,43.18000030517578
+2020-03-11,41.95000076293945,39.4900016784668,39.72999954223633
+2020-03-12,37.310001373291016,33.18000030517578,33.189998626708984
+2020-03-13,37.040000915527344,34.16999816894531,37.0099983215332
+2020-03-16,37.959999084472656,32.220001220703125,33.41999816894531
+2020-03-17,37.70000076293945,32.25,36.720001220703125
+2020-03-18,34.900001525878906,31.65999984741211,34.59000015258789
+2020-03-19,38.22999954223633,32.0,37.310001373291016
+2020-03-20,37.970001220703125,30.8700008392334,31.26000022888184
+2020-03-23,32.0,28.520000457763672,29.739999771118164
+2020-03-24,33.9900016784668,30.51000022888184,33.7400016784668
+",
+US,technical,"On July 07, 2020, what is the Stochastic %K value for Tapestry? (Standard parameters: 14, 3, 3; Calculates Slow Stochastic by default) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",20.0175,easy,momentum,"K = SMA(RSV, k); RSV = (C - Low_n) / (High_n - Low_n) * 100","date,high,low,close
+2020-06-08,18.149999618530277,17.170000076293945,17.979999542236328
+2020-06-09,17.31999969482422,16.520000457763672,16.549999237060547
+2020-06-10,16.5,15.4399995803833,15.479999542236328
+2020-06-11,14.579999923706056,13.93000030517578,14.119999885559082
+2020-06-12,15.149999618530272,14.039999961853027,14.479999542236328
+2020-06-15,14.390000343322754,13.649999618530272,14.1899995803833
+2020-06-16,15.68000030517578,14.789999961853027,14.989999771118164
+2020-06-17,14.989999771118164,14.210000038146973,14.220000267028809
+2020-06-18,14.449999809265137,13.800000190734863,13.979999542236328
+2020-06-19,14.6899995803833,13.520000457763672,13.529999732971191
+2020-06-22,13.859999656677246,13.300000190734863,13.710000038146973
+2020-06-23,14.06999969482422,13.489999771118164,13.779999732971191
+2020-06-24,13.579999923706056,12.6899995803833,12.800000190734863
+2020-06-25,12.6899995803833,12.3100004196167,12.600000381469728
+2020-06-26,12.770000457763672,12.300000190734863,12.550000190734863
+2020-06-29,13.369999885559082,12.40999984741211,13.350000381469728
+2020-06-30,13.520000457763672,12.970000267028809,13.279999732971191
+2020-07-01,13.9399995803833,12.920000076293944,12.970000267028809
+2020-07-02,13.619999885559082,12.920000076293944,13.010000228881836
+2020-07-06,13.5,12.890000343322754,13.18000030517578
+2020-07-07,13.15999984741211,12.630000114440918,12.649999618530272
+",
+US,technical,"What was SBA Communications's Stochastic %K on September 19, 2024? (Standard parameters: 14, 3, 3; Calculates Slow Stochastic by default) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",72.9371,easy,momentum,"K = SMA(RSV, k); RSV = (C - Low_n) / (High_n - Low_n) * 100","date,high,low,close
+2024-08-21,219.5800018310547,217.41000366210935,219.3000030517578
+2024-08-22,219.5399932861328,217.50999450683597,218.3699951171875
+2024-08-23,228.02999877929688,219.02999877929688,227.27999877929688
+2024-08-26,229.8999938964844,226.72000122070312,227.5399932861328
+2024-08-27,228.88999938964844,225.5399932861328,228.50999450683597
+2024-08-28,229.3500061035156,226.50999450683597,227.6699981689453
+2024-08-29,227.6300048828125,223.0500030517578,226.5399932861328
+2024-08-30,229.00999450683597,224.69000244140625,226.66000366210935
+2024-09-03,233.6499938964844,225.8300018310547,230.80999755859372
+2024-09-04,235.41000366210935,230.22000122070312,233.22000122070312
+2024-09-05,236.9900054931641,232.50999450683597,233.3699951171875
+2024-09-06,238.82000732421875,233.5399932861328,238.50999450683597
+2024-09-09,241.8300018310547,236.0200042724609,239.8300018310547
+2024-09-10,243.75,239.8999938964844,242.52999877929688
+2024-09-11,242.33999633789065,236.80999755859372,241.83999633789065
+2024-09-12,242.22999572753903,237.82000732421875,239.8500061035156
+2024-09-13,243.47999572753903,239.0,242.9499969482422
+2024-09-16,247.4499969482422,244.5,245.08999633789065
+2024-09-17,246.66000366210935,243.55999755859372,245.0
+2024-09-18,246.91000366210935,239.7700042724609,239.91000366210935
+2024-09-19,240.82000732421875,232.17999267578125,238.2899932861328
+",
+US,technical,"For Stochastic %K, what is the value of General Mills on May 25, 2021? (Standard parameters: 14, 3, 3; Calculates Slow Stochastic by default) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",47.3911,easy,momentum,"K = SMA(RSV, k); RSV = (C - Low_n) / (High_n - Low_n) * 100","date,high,low,close
+2021-04-27,60.75,60.13999938964844,60.540000915527344
+2021-04-28,61.34000015258789,60.52999877929688,60.79999923706055
+2021-04-29,61.65999984741211,60.79999923706055,61.43000030517578
+2021-04-30,61.619998931884766,60.619998931884766,60.86000061035156
+2021-05-03,62.02999877929688,60.86000061035156,61.59999847412109
+2021-05-04,62.2599983215332,61.33000183105469,61.79999923706055
+2021-05-05,61.90999984741211,60.9900016784668,61.83000183105469
+2021-05-06,64.23999786376953,62.38999938964844,63.63999938964844
+2021-05-07,63.68000030517578,62.400001525878906,63.04999923706055
+2021-05-10,64.13999938964844,63.15999984741211,63.83000183105469
+2021-05-11,64.30000305175781,62.81999969482422,63.11000061035156
+2021-05-12,63.63999938964844,62.75,62.959999084472656
+2021-05-13,64.6500015258789,62.43999862670898,63.97999954223633
+2021-05-14,64.6500015258789,63.369998931884766,63.400001525878906
+2021-05-17,63.61000061035156,62.540000915527344,62.790000915527344
+2021-05-18,63.16999816894531,62.33000183105469,62.93000030517578
+2021-05-19,63.040000915527344,62.16999816894531,62.59999847412109
+2021-05-20,63.380001068115234,62.38999938964844,62.900001525878906
+2021-05-21,63.880001068115234,62.95000076293945,63.130001068115234
+2021-05-24,63.63999938964844,63.040000915527344,63.04999923706055
+2021-05-25,63.20000076293945,62.31999969482422,62.84999847412109
+",
+US,technical,"Calculate the Stochastic %K value for Boston Scientific on June 10, 2025. (Standard parameters: 14, 3, 3; Calculates Slow Stochastic by default) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",9.5022,easy,momentum,"K = SMA(RSV, k); RSV = (C - Low_n) / (High_n - Low_n) * 100","date,high,low,close
+2025-05-12,104.5500030517578,101.81999969482422,102.87000274658205
+2025-05-13,103.68000030517578,102.26000213623048,102.9499969482422
+2025-05-14,103.4800033569336,102.56999969482422,102.9499969482422
+2025-05-15,105.05999755859376,102.77999877929688,104.86000061035156
+2025-05-16,106.23999786376952,104.72000122070312,106.04000091552734
+2025-05-19,106.72000122070312,105.5199966430664,106.66000366210938
+2025-05-20,106.66999816894533,105.3000030517578,106.54000091552734
+2025-05-21,107.05999755859376,104.37000274658205,104.63999938964844
+2025-05-22,105.0,103.56999969482422,104.5
+2025-05-23,104.87000274658205,103.58000183105467,104.5
+2025-05-27,106.66999816894533,105.22000122070312,106.16999816894533
+2025-05-28,105.72000122070312,103.5,104.51000213623048
+2025-05-29,105.0,103.87000274658205,104.5
+2025-05-30,105.37000274658205,104.08999633789062,105.26000213623048
+2025-06-02,105.26000213623048,102.81999969482422,104.16999816894533
+2025-06-03,104.1999969482422,102.31999969482422,103.0999984741211
+2025-06-04,103.48999786376952,102.4000015258789,102.43000030517578
+2025-06-05,103.23999786376952,102.12999725341795,102.83000183105467
+2025-06-06,105.77999877929688,100.95999908447266,102.08999633789062
+2025-06-09,101.54000091552734,99.62000274658205,100.04000091552734
+2025-06-10,100.45999908447266,98.98999786376952,99.33999633789062
+",
+US,technical,"What is the value of Stochastic %D for Nasdaq Inc. on October 18, 2021? (Standard parameters: 14, 3, 3) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",81.9057,easy,momentum,"D = SMA(K, k); K = SMA(RSV, k); RSV = (C - Low_n) / (High_n - Low_n) * 100","date,high,low,close
+2021-09-15,65.71333312988281,64.83333587646484,65.27999877929688
+2021-09-16,65.48666381835938,64.85333251953125,65.1433334350586
+2021-09-17,64.97000122070312,63.66666793823242,64.30000305175781
+2021-09-20,64.03666687011719,62.83666610717773,63.65999984741211
+2021-09-21,64.23999786376953,63.7400016784668,63.96666717529297
+2021-09-22,64.9000015258789,64.01667022705078,64.83333587646484
+2021-09-23,65.57666778564453,65.086669921875,65.1933364868164
+2021-09-24,65.70999908447266,64.79666900634766,65.59333038330078
+2021-09-27,65.54666900634766,64.83999633789062,65.26000213623047
+2021-09-28,64.77666473388672,63.12666702270508,63.6533317565918
+2021-09-29,64.80332946777344,63.63999938964844,64.663330078125
+2021-09-30,65.77666473388672,64.3066635131836,64.33999633789062
+2021-10-01,64.91666412353516,63.5533332824707,64.57666778564453
+2021-10-04,65.11000061035156,62.913333892822266,62.9900016784668
+2021-10-05,65.1933364868164,63.08666610717773,65.086669921875
+2021-10-06,65.30000305175781,64.0999984741211,64.87999725341797
+2021-10-07,66.36333465576172,65.33333587646484,65.97000122070312
+2021-10-08,66.38333129882812,65.51000213623047,65.80000305175781
+2021-10-11,67.5,65.41999816894531,65.8933334350586
+2021-10-12,66.30000305175781,65.39666748046875,65.82666778564453
+2021-10-13,66.27999877929688,65.05000305175781,65.8066635131836
+2021-10-14,67.07333374023438,66.29666900634766,66.87999725341797
+2021-10-15,67.8066635131836,66.77666473388672,67.67333221435547
+2021-10-18,68.17333221435547,67.27666473388672,67.83000183105469
+",
+US,technical,"On May 21, 2024, what is the Stochastic %D value for Arch Capital Group? (Standard parameters: 14, 3, 3) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",87.7009,easy,momentum,"D = SMA(K, k); K = SMA(RSV, k); RSV = (C - Low_n) / (High_n - Low_n) * 100","date,high,low,close
+2024-04-18,91.91999816894533,90.88999938964844,91.38999938964844
+2024-04-19,92.97000122070312,90.91000366210938,92.93000030517578
+2024-04-22,94.5999984741211,93.0,93.8499984741211
+2024-04-23,94.37000274658205,93.4499969482422,93.77999877929688
+2024-04-24,93.66999816894533,92.70999908447266,93.19000244140624
+2024-04-25,93.45999908447266,92.38999938964844,93.0500030517578
+2024-04-26,92.43000030517578,90.77999877929688,90.9000015258789
+2024-04-29,91.63999938964844,90.61000061035156,91.25
+2024-04-30,94.04000091552734,90.5500030517578,93.54000091552734
+2024-05-01,96.58000183105467,93.62999725341795,95.8000030517578
+2024-05-02,96.44000244140624,94.5,95.16999816894533
+2024-05-03,95.58999633789062,92.77999877929688,94.41000366210938
+2024-05-06,97.16999816894533,94.76000213623048,97.13999938964844
+2024-05-07,98.54000091552734,97.04000091552734,98.20999908447266
+2024-05-08,99.6999969482422,98.20999908447266,98.93000030517578
+2024-05-09,99.63999938964844,98.54000091552734,99.62999725341795
+2024-05-10,100.86000061035156,99.75,100.0500030517578
+2024-05-13,100.33000183105467,97.83999633789062,97.91000366210938
+2024-05-14,98.30999755859376,97.29000091552734,97.9000015258789
+2024-05-15,98.38999938964844,97.31999969482422,97.87000274658205
+2024-05-16,99.37000274658205,98.4499969482422,98.81999969482422
+2024-05-17,101.27999877929688,99.2699966430664,100.98999786376952
+2024-05-20,101.26000213623048,100.13999938964844,100.16999816894533
+2024-05-21,102.41000366210938,100.55999755859376,101.6500015258789
+",
+US,technical,"What was NextEra Energy's Stochastic %D on May 12, 2025? (Standard parameters: 14, 3, 3) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",78.279,easy,momentum,"D = SMA(K, k); K = SMA(RSV, k); RSV = (C - Low_n) / (High_n - Low_n) * 100","date,high,low,close
+2025-04-08,66.58000183105469,63.20000076293945,64.11000061035156
+2025-04-09,67.79000091552734,61.720001220703125,67.58000183105469
+2025-04-10,67.5,65.23999786376953,66.72000122070312
+2025-04-11,66.98999786376953,64.5999984741211,65.80999755859375
+2025-04-14,68.12000274658203,65.95999908447266,67.69000244140625
+2025-04-15,68.44000244140625,67.52999877929688,67.66000366210938
+2025-04-16,68.05000305175781,65.30000305175781,65.63999938964844
+2025-04-17,67.33999633789062,65.97000122070312,66.30999755859375
+2025-04-21,66.05999755859375,63.63999938964844,64.68000030517578
+2025-04-22,66.80000305175781,65.3499984741211,66.63999938964844
+2025-04-23,69.0999984741211,66.98999786376953,67.2699966430664
+2025-04-24,67.19999694824219,65.23999786376953,66.3499984741211
+2025-04-25,66.87000274658203,65.36000061035156,66.08999633789062
+2025-04-28,66.33999633789062,65.27999877929688,66.19000244140625
+2025-04-29,67.4000015258789,65.72000122070312,67.25
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+2025-05-01,67.62999725341797,65.94000244140625,66.05000305175781
+2025-05-02,67.37000274658203,65.98999786376953,67.08999633789062
+2025-05-05,67.02999877929688,65.87999725341797,66.0999984741211
+2025-05-06,66.88999938964844,65.3499984741211,66.54000091552734
+2025-05-07,67.9800033569336,65.97000122070312,67.36000061035156
+2025-05-08,69.37999725341797,66.91000366210938,68.31999969482422
+2025-05-09,70.48999786376953,68.44999694824219,70.30999755859375
+2025-05-12,70.98999786376953,68.69999694824219,69.69000244140625
+",
+US,technical,"For Stochastic %D, what is the value of Elevance Health on February 29, 2024? (Standard parameters: 14, 3, 3) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",50.1614,easy,momentum,"D = SMA(K, k); K = SMA(RSV, k); RSV = (C - Low_n) / (High_n - Low_n) * 100","date,high,low,close
+2024-01-26,485.6900024414063,479.7699890136719,483.7999877929688
+2024-01-29,487.2900085449219,480.9299926757813,486.5299987792969
+2024-01-30,492.8299865722656,486.6900024414063,492.3500061035156
+2024-01-31,497.2999877929688,492.5700073242188,493.4400024414063
+2024-02-01,496.989990234375,488.3999938964844,495.4299926757813
+2024-02-02,497.5299987792969,490.5799865722656,495.1199951171875
+2024-02-05,498.2300109863281,488.5799865722656,490.3299865722656
+2024-02-06,495.7900085449219,486.4700012207031,493.8299865722656
+2024-02-07,502.1400146484375,495.8999938964844,497.7900085449219
+2024-02-08,504.0799865722656,499.989990234375,502.1499938964844
+2024-02-09,506.8200073242188,500.1799926757813,506.0799865722656
+2024-02-12,506.9800109863281,503.7300109863281,505.239990234375
+2024-02-13,513.22998046875,503.510009765625,505.30999755859375
+2024-02-14,507.2699890136719,502.2999877929688,506.1099853515625
+2024-02-15,511.2099914550781,506.2699890136719,508.8299865722656
+2024-02-16,514.3499755859375,506.1199951171875,512.6300048828125
+2024-02-20,515.3499755859375,508.2900085449219,508.9100036621094
+2024-02-21,511.5299987792969,506.05999755859375,509.3800048828125
+2024-02-22,514.469970703125,506.3299865722656,512.1699829101562
+2024-02-23,514.239990234375,508.4200134277344,514.0900268554688
+2024-02-26,516.6099853515625,506.2000122070313,506.5499877929688
+2024-02-27,509.2000122070313,503.1799926757813,507.4100036621094
+2024-02-28,507.8500061035156,499.5899963378906,503.1099853515625
+2024-02-29,504.9800109863281,498.6499938964844,501.25
+",
+US,technical,"Calculate the Stochastic %D value for Garmin on March 04, 2022. (Standard parameters: 14, 3, 3) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",24.8194,easy,momentum,"D = SMA(K, k); K = SMA(RSV, k); RSV = (C - Low_n) / (High_n - Low_n) * 100","date,high,low,close
+2022-01-31,124.48999786376952,120.9000015258789,124.41999816894533
+2022-02-01,125.52999877929688,122.61000061035156,125.36000061035156
+2022-02-02,128.3000030517578,125.86000061035156,127.2300033569336
+2022-02-03,127.83000183105467,125.0199966430664,125.0999984741211
+2022-02-04,126.36000061035156,123.26000213623048,124.76000213623048
+2022-02-07,126.45999908447266,124.68000030517578,125.08999633789062
+2022-02-08,126.66000366210938,124.62000274658205,126.36000061035156
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+2022-02-10,129.07000732421875,124.05999755859376,124.20999908447266
+2022-02-11,125.76000213623048,122.66999816894533,123.2300033569336
+2022-02-14,123.51000213623048,120.12999725341795,120.76000213623048
+2022-02-15,122.98999786376952,118.7300033569336,119.87999725341795
+2022-02-16,121.0,114.25,119.58999633789062
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+2022-02-18,115.56999969482422,112.04000091552734,114.5199966430664
+2022-02-22,114.6500015258789,111.2300033569336,111.83000183105467
+2022-02-23,113.08000183105467,109.61000061035156,109.79000091552734
+2022-02-24,110.44000244140624,106.66000366210938,110.41000366210938
+2022-02-25,112.30999755859376,109.8499984741211,111.83000183105467
+2022-02-28,111.26000213623048,109.48999786376952,110.44000244140624
+2022-03-01,110.7300033569336,109.08000183105467,110.0
+2022-03-02,115.20999908447266,110.0,113.91000366210938
+2022-03-03,114.45999908447266,111.5,112.0500030517578
+2022-03-04,111.0,109.51000213623048,110.56999969482422
+",
+US,technical,"What is the value of Kaufman Adaptive Moving Average for Netflix on August 13, 2020? (ER period 10, fast period 2, slow period 30; Require 60 data points to warm up) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",49.3108,easy,moving average,ER_t = |C_t - C_{t-n_{er}}| / \sum_{i=0}^{n_{er}-1} |C_{t-i} - C_{t-i-1}|; SC_t = (ER_t * (2/(n_{fast}+1) - 2/(n_{slow}+1)) + 2/(n_{slow}+1))^2; KAMA_t = KAMA_{t-1} + SC_t * (C_t - KAMA_{t-1}),"date,close
+2020-05-19,45.104000091552734
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+2020-05-21,43.625
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+",
+US,technical,"On August 21, 2025, what is the Kaufman Adaptive Moving Average value for Lowe's? (ER period 10, fast period 2, slow period 30; Require 60 data points to warm up) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",250.295,easy,moving average,ER_t = |C_t - C_{t-n_{er}}| / \sum_{i=0}^{n_{er}-1} |C_{t-i} - C_{t-i-1}|; SC_t = (ER_t * (2/(n_{fast}+1) - 2/(n_{slow}+1)) + 2/(n_{slow}+1))^2; KAMA_t = KAMA_{t-1} + SC_t * (C_t - KAMA_{t-1}),"date,close
+2025-05-27,225.80999755859372
+2025-05-28,224.5200042724609
+2025-05-29,224.92999267578125
+2025-05-30,225.72999572753903
+2025-06-02,225.5200042724609
+2025-06-03,228.8000030517578
+2025-06-04,228.38999938964844
+2025-06-05,227.58999633789065
+2025-06-06,225.2700042724609
+2025-06-09,223.6100006103516
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+2025-08-19,256.3599853515625
+2025-08-20,257.1400146484375
+2025-08-21,255.6499938964844
+",
+US,technical,"What was Rollins's Kaufman Adaptive Moving Average on June 21, 2021? (ER period 10, fast period 2, slow period 30; Require 60 data points to warm up) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",33.5434,easy,moving average,ER_t = |C_t - C_{t-n_{er}}| / \sum_{i=0}^{n_{er}-1} |C_{t-i} - C_{t-i-1}|; SC_t = (ER_t * (2/(n_{fast}+1) - 2/(n_{slow}+1)) + 2/(n_{slow}+1))^2; KAMA_t = KAMA_{t-1} + SC_t * (C_t - KAMA_{t-1}),"date,close
+2021-03-25,33.90999984741211
+2021-03-26,34.189998626708984
+2021-03-29,34.18000030517578
+2021-03-30,33.91999816894531
+2021-03-31,34.41999816894531
+2021-04-01,34.83000183105469
+2021-04-05,35.38999938964844
+2021-04-06,35.290000915527344
+2021-04-07,34.47999954223633
+2021-04-08,34.959999084472656
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+2021-06-21,33.72999954223633
+",
+US,technical,"For Kaufman Adaptive Moving Average, what is the value of News Corp (Class B) on March 08, 2024? (ER period 10, fast period 2, slow period 30; Require 60 data points to warm up) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",26.9405,easy,moving average,ER_t = |C_t - C_{t-n_{er}}| / \sum_{i=0}^{n_{er}-1} |C_{t-i} - C_{t-i-1}|; SC_t = (ER_t * (2/(n_{fast}+1) - 2/(n_{slow}+1)) + 2/(n_{slow}+1))^2; KAMA_t = KAMA_{t-1} + SC_t * (C_t - KAMA_{t-1}),"date,close
+2023-12-11,23.100000381469727
+2023-12-12,23.040000915527344
+2023-12-13,23.780000686645508
+2023-12-14,24.420000076293945
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+2024-03-08,27.350000381469727
+",
+US,technical,"Calculate the Kaufman Adaptive Moving Average value for Williams Companies on February 14, 2020. (ER period 10, fast period 2, slow period 30; Require 60 data points to warm up) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",21.3724,easy,moving average,ER_t = |C_t - C_{t-n_{er}}| / \sum_{i=0}^{n_{er}-1} |C_{t-i} - C_{t-i-1}|; SC_t = (ER_t * (2/(n_{fast}+1) - 2/(n_{slow}+1)) + 2/(n_{slow}+1))^2; KAMA_t = KAMA_{t-1} + SC_t * (C_t - KAMA_{t-1}),"date,close
+2019-11-18,22.299999237060547
+2019-11-19,22.13999938964844
+2019-11-20,22.3799991607666
+2019-11-21,22.790000915527344
+2019-11-22,23.100000381469727
+2019-11-25,23.09000015258789
+2019-11-26,22.8700008392334
+2019-11-27,22.709999084472656
+2019-11-29,22.71999931335449
+2019-12-02,22.549999237060547
+2019-12-03,22.200000762939453
+2019-12-04,22.1299991607666
+2019-12-05,22.190000534057617
+2019-12-06,22.38999938964844
+2019-12-09,22.899999618530277
+2019-12-10,22.940000534057617
+2019-12-11,23.190000534057617
+2019-12-12,22.649999618530277
+2019-12-13,22.709999084472656
+2019-12-16,22.81999969482422
+2019-12-17,22.940000534057617
+2019-12-18,23.07999992370605
+2019-12-19,23.5
+2019-12-20,23.799999237060547
+2019-12-23,23.940000534057617
+2019-12-24,23.84000015258789
+2019-12-26,23.809999465942383
+2019-12-27,23.59000015258789
+2019-12-30,23.200000762939453
+2019-12-31,23.71999931335449
+2020-01-02,23.489999771118164
+2020-01-03,23.59000015258789
+2020-01-06,23.899999618530277
+2020-01-07,23.899999618530277
+2020-01-08,23.530000686645508
+2020-01-09,23.670000076293945
+2020-01-10,23.5
+2020-01-13,23.780000686645508
+2020-01-14,23.84000015258789
+2020-01-15,23.809999465942383
+2020-01-16,24.040000915527344
+2020-01-17,23.86000061035156
+2020-01-21,23.01000022888184
+2020-01-22,22.63999938964844
+2020-01-23,22.440000534057617
+2020-01-24,22.190000534057617
+2020-01-27,21.61000061035156
+2020-01-28,21.63999938964844
+2020-01-29,21.15999984741211
+2020-01-30,21.270000457763672
+2020-01-31,20.690000534057617
+2020-02-03,21.1200008392334
+2020-02-04,21.479999542236328
+2020-02-05,21.649999618530277
+2020-02-06,21.440000534057617
+2020-02-07,21.059999465942383
+2020-02-10,21.43000030517578
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+2020-02-12,21.549999237060547
+2020-02-13,21.6200008392334
+2020-02-14,21.540000915527344
+",
+US,technical,"What is the value of MACD Line for International Flavors & Fragrances on February 01, 2021? (Standard parameters: fast 12, slow 26; Require 104 data points to warm up; EMA uses the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.2717,easy,trend,MACD Line = EMA_{n_{fast}}(P) - EMA_{n_{slow}}(P),"date,close
+2020-09-01,124.73999786376952
+2020-09-02,125.95999908447266
+2020-09-03,123.87999725341795
+2020-09-04,123.12000274658205
+2020-09-08,121.62999725341795
+2020-09-09,122.0
+2020-09-10,120.36000061035156
+2020-09-11,121.02999877929688
+2020-09-14,122.9800033569336
+2020-09-15,124.23999786376952
+2020-09-16,124.23999786376952
+2020-09-17,124.18000030517578
+2020-09-18,122.54000091552734
+2020-09-21,120.43000030517578
+2020-09-22,120.61000061035156
+2020-09-23,116.12000274658205
+2020-09-24,116.5500030517578
+2020-09-25,118.97000122070312
+2020-09-28,121.4000015258789
+2020-09-29,121.5
+2020-09-30,122.4499969482422
+2020-10-01,120.08999633789062
+2020-10-02,119.16999816894533
+2020-10-05,118.36000061035156
+2020-10-06,115.30999755859376
+2020-10-07,116.51000213623048
+2020-10-08,116.1999969482422
+2020-10-09,119.41000366210938
+2020-10-12,118.63999938964844
+2020-10-13,117.16999816894533
+2020-10-14,116.91000366210938
+2020-10-15,116.01000213623048
+2020-10-16,116.2699966430664
+2020-10-19,113.5500030517578
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+2020-10-21,110.4499969482422
+2020-10-22,111.8499984741211
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+2020-10-27,105.62000274658205
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+2020-12-29,111.04000091552734
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+2021-01-04,105.08000183105467
+2021-01-05,107.98999786376952
+2021-01-06,112.91999816894533
+2021-01-07,118.6500015258789
+2021-01-08,119.0
+2021-01-11,122.4499969482422
+2021-01-12,125.9800033569336
+2021-01-13,121.5199966430664
+2021-01-14,119.94000244140624
+2021-01-15,117.72000122070312
+2021-01-19,120.33999633789062
+2021-01-20,120.08000183105467
+2021-01-21,116.0
+2021-01-22,115.80999755859376
+2021-01-25,116.33000183105467
+2021-01-26,113.77999877929688
+2021-01-27,110.94000244140624
+2021-01-28,115.0199966430664
+2021-01-29,112.37999725341795
+2021-02-01,130.14999389648438
+",
+US,technical,"On March 24, 2025, what is the MACD Line value for Vertex Pharmaceuticals? (Standard parameters: fast 12, slow 26; Require 104 data points to warm up; EMA uses the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",11.8497,easy,trend,MACD Line = EMA_{n_{fast}}(P) - EMA_{n_{slow}}(P),"date,close
+2024-10-21,478.0899963378906
+2024-10-22,474.9100036621094
+2024-10-23,470.0499877929688
+2024-10-24,471.9100036621094
+2024-10-25,477.7000122070313
+2024-10-28,476.3699951171875
+2024-10-29,470.3599853515625
+2024-10-30,475.0799865722656
+2024-10-31,475.9800109863281
+2024-11-01,471.1199951171875
+2024-11-04,472.7999877929688
+2024-11-05,499.8800048828125
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+2024-11-07,502.4500122070313
+2024-11-08,516.739990234375
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+2024-11-12,490.0
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+2024-11-14,483.9599914550781
+2024-11-15,465.7000122070313
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+2024-11-19,448.010009765625
+2024-11-20,451.2300109863281
+2024-11-21,450.3699951171875
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+2024-11-25,461.7099914550781
+2024-11-26,467.0700073242188
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+2024-11-29,468.1300048828125
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+2024-12-12,464.1199951171875
+2024-12-13,463.7300109863281
+2024-12-16,468.0899963378906
+2024-12-17,469.239990234375
+2024-12-18,447.5
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+2024-12-24,408.1799926757813
+2024-12-26,410.6499938964844
+2024-12-27,408.760009765625
+2024-12-30,399.3500061035156
+2024-12-31,402.7000122070313
+2025-01-02,405.760009765625
+2025-01-03,407.1099853515625
+2025-01-06,402.489990234375
+2025-01-07,408.3200073242188
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+2025-01-16,416.9599914550781
+2025-01-17,422.0
+2025-01-21,427.8900146484375
+2025-01-22,428.0
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+2025-01-24,439.6199951171875
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+2025-01-28,440.6799926757813
+2025-01-29,441.5199890136719
+2025-01-30,438.3999938964844
+2025-01-31,461.6799926757813
+2025-02-03,470.3699951171875
+2025-02-04,482.2799987792969
+2025-02-05,488.4400024414063
+2025-02-06,481.1600036621094
+2025-02-07,469.3200073242188
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+2025-02-11,455.2200012207031
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+2025-02-14,459.0
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+2025-02-20,480.3299865722656
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+2025-03-03,483.30999755859375
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+2025-03-05,491.6400146484375
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+2025-03-07,488.2900085449219
+2025-03-10,500.010009765625
+2025-03-11,488.3399963378906
+2025-03-12,495.4200134277344
+2025-03-13,502.9200134277344
+2025-03-14,504.7699890136719
+2025-03-17,513.760009765625
+2025-03-18,512.22998046875
+2025-03-19,512.52001953125
+2025-03-20,510.1799926757813
+2025-03-21,503.2000122070313
+2025-03-24,511.739990234375
+",
+US,technical,"What was Microsoft's MACD Line on September 27, 2023? (Standard parameters: fast 12, slow 26; Require 104 data points to warm up; EMA uses the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-3.6222,easy,trend,MACD Line = EMA_{n_{fast}}(P) - EMA_{n_{slow}}(P),"date,close
+2023-04-28,307.260009765625
+2023-05-01,305.5599975585937
+2023-05-02,305.4100036621094
+2023-05-03,304.3999938964844
+2023-05-04,305.4100036621094
+2023-05-05,310.6499938964844
+2023-05-08,308.6499938964844
+2023-05-09,307.0
+2023-05-10,312.3099975585937
+2023-05-11,310.1099853515625
+2023-05-12,308.9700012207031
+2023-05-15,309.4599914550781
+2023-05-16,311.739990234375
+2023-05-17,314.0
+2023-05-18,318.5199890136719
+2023-05-19,318.3399963378906
+2023-05-22,321.17999267578125
+2023-05-23,315.260009765625
+2023-05-24,313.8500061035156
+2023-05-25,325.9200134277344
+2023-05-26,332.8900146484375
+2023-05-30,331.2099914550781
+2023-05-31,328.3900146484375
+2023-06-01,332.5799865722656
+2023-06-02,335.3999938964844
+2023-06-05,335.94000244140625
+2023-06-06,333.67999267578125
+2023-06-07,323.3800048828125
+2023-06-08,325.260009765625
+2023-06-09,326.7900085449219
+2023-06-12,331.8500061035156
+2023-06-13,334.2900085449219
+2023-06-14,337.3399963378906
+2023-06-15,348.1000061035156
+2023-06-16,342.3299865722656
+2023-06-20,338.04998779296875
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+2023-06-27,334.57000732421875
+2023-06-28,335.8500061035156
+2023-06-29,335.04998779296875
+2023-06-30,340.5400085449219
+2023-07-03,337.989990234375
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+2023-07-07,337.2200012207031
+2023-07-10,331.8299865722656
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+2023-07-12,337.20001220703125
+2023-07-13,342.6600036621094
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+2023-07-27,330.7200012207031
+2023-07-28,338.3699951171875
+2023-07-31,335.9200134277344
+2023-08-01,336.3399963378906
+2023-08-02,327.5
+2023-08-03,326.6600036621094
+2023-08-04,327.7799987792969
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+2023-08-10,322.92999267578125
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+2023-08-14,324.0400085449219
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+2023-08-16,320.3999938964844
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+2023-08-18,316.4800109863281
+2023-08-21,321.8800048828125
+2023-08-22,322.4599914550781
+2023-08-23,327.0
+2023-08-24,319.9700012207031
+2023-08-25,322.9800109863281
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+2023-08-29,328.4100036621094
+2023-08-30,328.7900085449219
+2023-08-31,327.760009765625
+2023-09-01,328.6600036621094
+2023-09-05,333.54998779296875
+2023-09-06,332.8800048828125
+2023-09-07,329.9100036621094
+2023-09-08,334.2699890136719
+2023-09-11,337.94000244140625
+2023-09-12,331.7699890136719
+2023-09-13,336.0599975585937
+2023-09-14,338.70001220703125
+2023-09-15,330.2200012207031
+2023-09-18,329.0599975585937
+2023-09-19,328.6499938964844
+2023-09-20,320.7699890136719
+2023-09-21,319.5299987792969
+2023-09-22,317.010009765625
+2023-09-25,317.5400085449219
+2023-09-26,312.1400146484375
+2023-09-27,312.7900085449219
+",
+US,technical,"For MACD Line, what is the value of Waters Corporation on February 28, 2024? (Standard parameters: fast 12, slow 26; Require 104 data points to warm up; EMA uses the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",4.5796,easy,trend,MACD Line = EMA_{n_{fast}}(P) - EMA_{n_{slow}}(P),"date,close
+2023-09-28,275.3500061035156
+2023-09-29,274.2099914550781
+2023-10-02,270.5199890136719
+2023-10-03,265.010009765625
+2023-10-04,267.760009765625
+2023-10-05,265.989990234375
+2023-10-06,267.3999938964844
+2023-10-09,266.989990234375
+2023-10-10,268.79998779296875
+2023-10-11,266.20001220703125
+2023-10-12,251.0
+2023-10-13,252.6100006103516
+2023-10-16,255.1699981689453
+2023-10-17,256.6199951171875
+2023-10-18,248.50999450683597
+2023-10-19,252.3300018310547
+2023-10-20,253.63999938964844
+2023-10-23,255.66000366210935
+2023-10-24,249.17999267578125
+2023-10-25,242.3000030517578
+2023-10-26,244.4499969482422
+2023-10-27,244.75999450683597
+2023-10-30,236.6999969482422
+2023-10-31,238.52999877929688
+2023-11-01,240.83999633789065
+2023-11-02,245.41000366210935
+2023-11-03,260.489990234375
+2023-11-06,252.1499938964844
+2023-11-07,260.6700134277344
+2023-11-08,255.82000732421875
+2023-11-09,253.0800018310547
+2023-11-10,255.9199981689453
+2023-11-13,250.97999572753903
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+2023-11-15,266.94000244140625
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+2023-11-17,261.8800048828125
+2023-11-20,260.92999267578125
+2023-11-21,274.6499938964844
+2023-11-22,276.3299865722656
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+2023-11-27,277.0
+2023-11-28,275.95001220703125
+2023-11-29,279.739990234375
+2023-11-30,280.6099853515625
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+2023-12-06,289.5199890136719
+2023-12-07,293.3800048828125
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+2023-12-19,328.9700012207031
+2023-12-20,323.25
+2023-12-21,328.7900085449219
+2023-12-22,329.739990234375
+2023-12-26,331.9700012207031
+2023-12-27,333.0400085449219
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+2023-12-29,329.2300109863281
+2024-01-02,328.6199951171875
+2024-01-03,305.8800048828125
+2024-01-04,307.3699951171875
+2024-01-05,305.07000732421875
+2024-01-08,311.739990234375
+2024-01-09,302.5799865722656
+2024-01-10,307.6000061035156
+2024-01-11,304.42999267578125
+2024-01-12,307.9599914550781
+2024-01-16,308.1300048828125
+2024-01-17,302.510009765625
+2024-01-18,310.1600036621094
+2024-01-19,312.45001220703125
+2024-01-22,317.04998779296875
+2024-01-23,316.44000244140625
+2024-01-24,312.4200134277344
+2024-01-25,312.0
+2024-01-26,316.1199951171875
+2024-01-29,324.3599853515625
+2024-01-30,328.3800048828125
+2024-01-31,317.7099914550781
+2024-02-01,324.45001220703125
+2024-02-02,320.739990234375
+2024-02-05,324.8500061035156
+2024-02-06,330.3800048828125
+2024-02-07,323.5400085449219
+2024-02-08,326.69000244140625
+2024-02-09,322.82000732421875
+2024-02-12,320.20001220703125
+2024-02-13,311.5799865722656
+2024-02-14,317.5199890136719
+2024-02-15,322.8699951171875
+2024-02-16,325.2099914550781
+2024-02-20,323.95001220703125
+2024-02-21,329.5199890136719
+2024-02-22,330.54998779296875
+2024-02-23,331.25
+2024-02-26,327.0299987792969
+2024-02-27,332.6499938964844
+2024-02-28,337.67999267578125
+",
+US,technical,"Calculate the MACD Line value for Amazon on July 21, 2022. (Standard parameters: fast 12, slow 26; Require 104 data points to warm up; EMA uses the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.5571,easy,trend,MACD Line = EMA_{n_{fast}}(P) - EMA_{n_{slow}}(P),"date,close
+2022-02-18,152.60150146484375
+2022-02-22,150.19749450683594
+2022-02-23,144.82699584960938
+2022-02-24,151.35800170898438
+2022-02-25,153.7884979248047
+2022-02-28,153.56300354003906
+2022-03-01,151.14199829101562
+2022-03-02,152.05250549316406
+2022-03-03,147.89849853515625
+2022-03-04,145.64100646972656
+2022-03-07,137.4530029296875
+2022-03-08,136.01449584960938
+2022-03-09,139.2790069580078
+2022-03-10,146.8175048828125
+2022-03-11,145.52450561523438
+2022-03-14,141.85299682617188
+2022-03-15,147.3665008544922
+2022-03-16,153.10400390625
+2022-03-17,157.23899841308594
+2022-03-18,161.25050354003906
+2022-03-21,161.4915008544922
+2022-03-22,164.88900756835938
+2022-03-23,163.4080047607422
+2022-03-24,163.64950561523438
+2022-03-25,164.77349853515625
+2022-03-28,168.99049377441406
+2022-03-29,169.31500244140625
+2022-03-30,166.30099487304688
+2022-03-31,162.99749755859375
+2022-04-01,163.55999755859375
+2022-04-04,168.34649658203125
+2022-04-05,164.05499267578125
+2022-04-06,158.75599670410156
+2022-04-07,157.7845001220703
+2022-04-08,154.4604949951172
+2022-04-11,151.1219940185547
+2022-04-12,150.78750610351562
+2022-04-13,155.54100036621094
+2022-04-14,151.7064971923828
+2022-04-18,152.78500366210938
+2022-04-19,158.11549377441406
+2022-04-20,153.9980010986328
+2022-04-21,148.29600524902344
+2022-04-22,144.35000610351562
+2022-04-25,146.07400512695312
+2022-04-26,139.39100646972656
+2022-04-27,138.16700744628906
+2022-04-28,144.59649658203125
+2022-04-29,124.28150177001952
+2022-05-02,124.5
+2022-05-03,124.25350189208984
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+2022-05-05,116.40699768066406
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+2022-05-10,108.85900115966795
+2022-05-11,105.37200164794922
+2022-05-12,106.93049621582033
+2022-05-13,113.05500030517578
+2022-05-16,110.8105010986328
+2022-05-17,115.36849975585938
+2022-05-18,107.1125030517578
+2022-05-19,107.31900024414062
+2022-05-20,107.59100341796876
+2022-05-23,107.55699920654295
+2022-05-24,104.0999984741211
+2022-05-25,106.7750015258789
+2022-05-26,111.07749938964844
+2022-05-27,115.14649963378906
+2022-05-31,120.20950317382812
+2022-06-01,121.68399810791016
+2022-06-02,125.51100158691406
+2022-06-03,122.3499984741211
+2022-06-06,124.79000091552734
+2022-06-07,123.0
+2022-06-08,121.18000030517578
+2022-06-09,116.1500015258789
+2022-06-10,109.6500015258789
+2022-06-13,103.66999816894533
+2022-06-14,102.30999755859376
+2022-06-15,107.66999816894533
+2022-06-16,103.66000366210938
+2022-06-17,106.22000122070312
+2022-06-21,108.68000030517578
+2022-06-22,108.9499969482422
+2022-06-23,112.44000244140624
+2022-06-24,116.45999908447266
+2022-06-27,113.22000122070312
+2022-06-28,107.4000015258789
+2022-06-29,108.91999816894533
+2022-06-30,106.20999908447266
+2022-07-01,109.55999755859376
+2022-07-05,113.5
+2022-07-06,114.33000183105467
+2022-07-07,116.33000183105467
+2022-07-08,115.54000091552734
+2022-07-11,111.75
+2022-07-12,109.22000122070312
+2022-07-13,110.4000015258789
+2022-07-14,110.62999725341795
+2022-07-15,113.5500030517578
+2022-07-18,113.76000213623048
+2022-07-19,118.20999908447266
+2022-07-20,122.7699966430664
+2022-07-21,124.62999725341795
+",
+US,technical,"What is the value of MACD Signal for Weyerhaeuser on March 23, 2022? (Standard parameters: fast 12, slow 26, signal 9; Require 104 data points to warm up; EMA uses the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-0.1937,easy,trend,Signal Line = EMA_{n_{signal}}(MACD Line); MACD Line = EMA_{n_{fast}}(P) - EMA_{n_{slow}}(P),"date,close
+2021-10-22,37.13999938964844
+2021-10-25,37.72999954223633
+2021-10-26,36.7599983215332
+2021-10-27,35.709999084472656
+2021-10-28,36.400001525878906
+2021-10-29,35.720001220703125
+2021-11-01,36.97999954223633
+2021-11-02,36.150001525878906
+2021-11-03,38.27000045776367
+2021-11-04,38.13999938964844
+2021-11-05,38.33000183105469
+2021-11-08,37.72999954223633
+2021-11-09,37.54999923706055
+2021-11-10,36.88999938964844
+2021-11-11,36.810001373291016
+2021-11-12,36.93000030517578
+2021-11-15,37.40999984741211
+2021-11-16,38.36000061035156
+2021-11-17,38.52000045776367
+2021-11-18,37.93999862670898
+2021-11-19,38.040000915527344
+2021-11-22,38.84999847412109
+2021-11-23,38.540000915527344
+2021-11-24,38.97999954223633
+2021-11-26,38.41999816894531
+2021-11-29,38.75
+2021-11-30,37.61000061035156
+2021-12-01,37.63999938964844
+2021-12-02,38.5099983215332
+2021-12-03,38.33000183105469
+2021-12-06,38.459999084472656
+2021-12-07,39.34999847412109
+2021-12-08,39.47999954223633
+2021-12-09,39.75
+2021-12-10,40.02000045776367
+2021-12-13,40.04999923706055
+2021-12-14,38.88999938964844
+2021-12-15,39.470001220703125
+2021-12-16,39.630001068115234
+2021-12-17,39.63999938964844
+2021-12-20,38.130001068115234
+2021-12-21,38.459999084472656
+2021-12-22,38.83000183105469
+2021-12-23,38.63999938964844
+2021-12-27,39.65999984741211
+2021-12-28,39.86000061035156
+2021-12-29,40.68000030517578
+2021-12-30,40.970001220703125
+2021-12-31,41.18000030517578
+2022-01-03,40.56999969482422
+2022-01-04,41.09000015258789
+2022-01-05,40.06999969482422
+2022-01-06,40.38999938964844
+2022-01-07,40.34000015258789
+2022-01-10,40.150001525878906
+2022-01-11,40.72999954223633
+2022-01-12,41.04999923706055
+2022-01-13,41.65999984741211
+2022-01-14,40.97999954223633
+2022-01-18,39.27999877929688
+2022-01-19,39.18000030517578
+2022-01-20,38.290000915527344
+2022-01-21,38.0099983215332
+2022-01-24,38.84999847412109
+2022-01-25,38.470001220703125
+2022-01-26,38.08000183105469
+2022-01-27,37.88999938964844
+2022-01-28,39.650001525878906
+2022-01-31,40.43000030517578
+2022-02-01,40.630001068115234
+2022-02-02,41.470001220703125
+2022-02-03,41.31999969482422
+2022-02-04,40.4900016784668
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+2022-02-08,41.790000915527344
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+2022-02-10,41.81999969482422
+2022-02-11,41.560001373291016
+2022-02-14,40.90999984741211
+2022-02-15,41.83000183105469
+2022-02-16,41.86000061035156
+2022-02-17,39.16999816894531
+2022-02-18,39.18000030517578
+2022-02-22,38.47999954223633
+2022-02-23,37.27999877929688
+2022-02-24,38.22999954223633
+2022-02-25,39.20000076293945
+2022-02-28,38.880001068115234
+2022-03-01,38.619998931884766
+2022-03-02,39.4900016784668
+2022-03-03,39.16999816894531
+2022-03-04,39.29999923706055
+2022-03-07,38.470001220703125
+2022-03-08,38.52000045776367
+2022-03-09,38.9900016784668
+2022-03-10,40.09999847412109
+2022-03-11,39.619998931884766
+2022-03-14,38.77000045776367
+2022-03-15,39.470001220703125
+2022-03-16,39.27000045776367
+2022-03-17,39.5099983215332
+2022-03-18,39.9900016784668
+2022-03-21,39.18999862670898
+2022-03-22,38.20000076293945
+2022-03-23,38.150001525878906
+",
+US,technical,"On November 21, 2024, what is the MACD Signal value for McDonald's? (Standard parameters: fast 12, slow 26, signal 9; Require 104 data points to warm up; EMA uses the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-1.6828,easy,trend,Signal Line = EMA_{n_{signal}}(MACD Line); MACD Line = EMA_{n_{fast}}(P) - EMA_{n_{slow}}(P),"date,close
+2024-06-26,257.8299865722656
+2024-06-27,258.1700134277344
+2024-06-28,254.83999633789065
+2024-07-01,249.9900054931641
+2024-07-02,247.7899932861328
+2024-07-03,250.0
+2024-07-05,251.08999633789065
+2024-07-08,247.8500061035156
+2024-07-09,245.82000732421875
+2024-07-10,250.4900054931641
+2024-07-11,254.8000030517578
+2024-07-12,253.8999938964844
+2024-07-15,251.52999877929688
+2024-07-16,257.2699890136719
+2024-07-17,261.0
+2024-07-18,259.5199890136719
+2024-07-19,257.2799987792969
+2024-07-22,259.5400085449219
+2024-07-23,254.0500030517578
+2024-07-24,253.3699951171875
+2024-07-25,251.4600067138672
+2024-07-26,252.0
+2024-07-29,261.4200134277344
+2024-07-30,266.44000244140625
+2024-07-31,265.3999938964844
+2024-08-01,268.75
+2024-08-02,276.69000244140625
+2024-08-05,268.45001220703125
+2024-08-06,270.0599975585937
+2024-08-07,269.3699951171875
+2024-08-08,271.19000244140625
+2024-08-09,267.9100036621094
+2024-08-12,269.4599914550781
+2024-08-13,270.3099975585937
+2024-08-14,271.1499938964844
+2024-08-15,274.8699951171875
+2024-08-16,278.489990234375
+2024-08-19,287.54998779296875
+2024-08-20,285.6300048828125
+2024-08-21,289.7099914550781
+2024-08-22,289.2099914550781
+2024-08-23,289.5199890136719
+2024-08-26,288.67999267578125
+2024-08-27,289.6400146484375
+2024-08-28,287.04998779296875
+2024-08-29,287.8599853515625
+2024-08-30,288.6600036621094
+2024-09-03,285.5199890136719
+2024-09-04,288.0299987792969
+2024-09-05,287.9700012207031
+2024-09-06,289.510009765625
+2024-09-09,291.2900085449219
+2024-09-10,291.2699890136719
+2024-09-11,290.2300109863281
+2024-09-12,292.3500061035156
+2024-09-13,296.5299987792969
+2024-09-16,296.69000244140625
+2024-09-17,293.75
+2024-09-18,292.0299987792969
+2024-09-19,293.8500061035156
+2024-09-20,296.8299865722656
+2024-09-23,299.0599975585937
+2024-09-24,300.2699890136719
+2024-09-25,300.4700012207031
+2024-09-26,303.6499938964844
+2024-09-27,303.69000244140625
+2024-09-30,304.510009765625
+2024-10-01,302.9800109863281
+2024-10-02,303.760009765625
+2024-10-03,303.45001220703125
+2024-10-04,303.760009765625
+2024-10-07,300.8500061035156
+2024-10-08,301.8999938964844
+2024-10-09,303.8299865722656
+2024-10-10,304.0400085449219
+2024-10-11,305.0400085449219
+2024-10-14,309.8399963378906
+2024-10-15,313.3399963378906
+2024-10-16,312.9200134277344
+2024-10-17,314.70001220703125
+2024-10-18,316.5599975585937
+2024-10-21,314.8900146484375
+2024-10-22,314.69000244140625
+2024-10-23,298.57000732421875
+2024-10-24,301.5799865722656
+2024-10-25,292.6099853515625
+2024-10-28,296.7900085449219
+2024-10-29,295.0
+2024-10-30,291.5199890136719
+2024-10-31,292.1099853515625
+2024-11-01,295.2099914550781
+2024-11-04,292.8500061035156
+2024-11-05,297.32000732421875
+2024-11-06,294.0
+2024-11-07,294.6600036621094
+2024-11-08,298.9700012207031
+2024-11-11,301.5299987792969
+2024-11-12,298.6499938964844
+2024-11-13,297.3500061035156
+2024-11-14,298.5599975585937
+2024-11-15,292.6300048828125
+2024-11-18,291.1000061035156
+2024-11-19,290.7300109863281
+2024-11-20,290.9100036621094
+2024-11-21,288.4700012207031
+",
+US,technical,"What was Occidental Petroleum's MACD Signal on October 13, 2025? (Standard parameters: fast 12, slow 26, signal 9; Require 104 data points to warm up; EMA uses the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-0.1616,easy,trend,Signal Line = EMA_{n_{signal}}(MACD Line); MACD Line = EMA_{n_{fast}}(P) - EMA_{n_{slow}}(P),"date,close
+2025-05-14,43.81999969482422
+2025-05-15,43.369998931884766
+2025-05-16,43.040000915527344
+2025-05-19,42.310001373291016
+2025-05-20,41.900001525878906
+2025-05-21,41.130001068115234
+2025-05-22,41.08000183105469
+2025-05-23,41.290000915527344
+2025-05-27,41.619998931884766
+2025-05-28,41.119998931884766
+2025-05-29,41.459999084472656
+2025-05-30,40.77999877929688
+2025-06-02,41.43999862670898
+2025-06-03,42.68999862670898
+2025-06-04,41.90999984741211
+2025-06-05,41.81999969482422
+2025-06-06,42.540000915527344
+2025-06-09,43.2400016784668
+2025-06-10,43.90999984741211
+2025-06-11,44.84000015258789
+2025-06-12,44.7599983215332
+2025-06-13,46.45000076293945
+2025-06-16,45.33000183105469
+2025-06-17,45.97999954223633
+2025-06-18,45.34999847412109
+2025-06-20,45.630001068115234
+2025-06-23,43.95000076293945
+2025-06-24,42.47999954223633
+2025-06-25,42.41999816894531
+2025-06-26,43.15999984741211
+2025-06-27,42.59999847412109
+2025-06-30,42.0099983215332
+2025-07-01,42.86000061035156
+2025-07-02,43.93000030517578
+2025-07-03,43.79999923706055
+2025-07-07,43.34999847412109
+2025-07-08,45.75
+2025-07-09,45.56999969482422
+2025-07-10,45.84999847412109
+2025-07-11,46.310001373291016
+2025-07-14,45.06999969482422
+2025-07-15,42.68999862670898
+2025-07-16,42.630001068115234
+2025-07-17,43.54999923706055
+2025-07-18,43.619998931884766
+2025-07-21,43.0
+2025-07-22,43.560001373291016
+2025-07-23,44.43999862670898
+2025-07-24,44.630001068115234
+2025-07-25,44.709999084472656
+2025-07-28,45.54999923706055
+2025-07-29,45.459999084472656
+2025-07-30,44.40999984741211
+2025-07-31,43.93999862670898
+2025-08-01,43.40999984741211
+2025-08-04,42.86000061035156
+2025-08-05,43.08000183105469
+2025-08-06,42.540000915527344
+2025-08-07,43.59000015258789
+2025-08-08,44.31999969482422
+2025-08-11,43.709999084472656
+2025-08-12,44.150001525878906
+2025-08-13,44.75
+2025-08-14,44.77000045776367
+2025-08-15,44.61000061035156
+2025-08-18,44.209999084472656
+2025-08-19,43.959999084472656
+2025-08-20,44.27000045776367
+2025-08-21,44.560001373291016
+2025-08-22,45.83000183105469
+2025-08-25,46.400001525878906
+2025-08-26,46.040000915527344
+2025-08-27,46.869998931884766
+2025-08-28,47.5099983215332
+2025-08-29,47.61000061035156
+2025-09-02,48.04999923706055
+2025-09-03,46.29999923706055
+2025-09-04,46.61000061035156
+2025-09-05,45.90999984741211
+2025-09-08,45.380001068115234
+2025-09-09,45.13999938964844
+2025-09-10,46.310001373291016
+2025-09-11,46.02000045776367
+2025-09-12,45.66999816894531
+2025-09-15,45.470001220703125
+2025-09-16,47.7599983215332
+2025-09-17,47.18999862670898
+2025-09-18,47.36000061035156
+2025-09-19,46.09999847412109
+2025-09-22,45.7599983215332
+2025-09-23,46.41999816894531
+2025-09-24,46.88999938964844
+2025-09-25,46.9900016784668
+2025-09-26,47.470001220703125
+2025-09-29,48.09999847412109
+2025-09-30,47.25
+2025-10-01,47.720001220703125
+2025-10-02,44.22999954223633
+2025-10-03,44.84999847412109
+2025-10-06,45.400001525878906
+2025-10-07,45.33000183105469
+2025-10-08,45.040000915527344
+2025-10-09,44.52000045776367
+2025-10-10,42.150001525878906
+2025-10-13,42.41999816894531
+",
+US,technical,"For MACD Signal, what is the value of Schlumberger on April 11, 2024? (Standard parameters: fast 12, slow 26, signal 9; Require 104 data points to warm up; EMA uses the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0651,easy,trend,Signal Line = EMA_{n_{signal}}(MACD Line); MACD Line = EMA_{n_{fast}}(P) - EMA_{n_{slow}}(P),"date,close
+2023-11-09,52.7400016784668
+2023-11-10,53.29999923706055
+2023-11-13,54.0
+2023-11-14,54.34999847412109
+2023-11-15,53.68000030517578
+2023-11-16,52.11000061035156
+2023-11-17,52.84999847412109
+2023-11-20,52.7400016784668
+2023-11-21,52.720001220703125
+2023-11-22,52.52000045776367
+2023-11-24,52.59999847412109
+2023-11-27,52.54999923706055
+2023-11-28,52.310001373291016
+2023-11-29,51.869998931884766
+2023-11-30,52.040000915527344
+2023-12-01,52.38999938964844
+2023-12-04,52.02999877929688
+2023-12-05,50.61000061035156
+2023-12-06,49.130001068115234
+2023-12-07,48.459999084472656
+2023-12-08,48.79999923706055
+2023-12-11,49.150001525878906
+2023-12-12,49.040000915527344
+2023-12-13,49.18999862670898
+2023-12-14,52.41999816894531
+2023-12-15,52.18999862670898
+2023-12-18,52.27999877929688
+2023-12-19,52.97999954223633
+2023-12-20,52.54999923706055
+2023-12-21,52.58000183105469
+2023-12-22,53.08000183105469
+2023-12-26,53.68000030517578
+2023-12-27,53.02999877929688
+2023-12-28,52.2400016784668
+2023-12-29,52.040000915527344
+2024-01-02,51.97999954223633
+2024-01-03,52.650001525878906
+2024-01-04,51.68999862670898
+2024-01-05,51.86000061035156
+2024-01-08,50.31999969482422
+2024-01-09,48.560001373291016
+2024-01-10,48.45000076293945
+2024-01-11,48.79999923706055
+2024-01-12,49.95000076293945
+2024-01-16,48.29999923706055
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+2024-01-18,48.560001373291016
+2024-01-19,49.63999938964844
+2024-01-22,50.68000030517578
+2024-01-23,50.41999816894531
+2024-01-24,51.66999816894531
+2024-01-25,52.470001220703125
+2024-01-26,52.91999816894531
+2024-01-29,53.20000076293945
+2024-01-30,49.34999847412109
+2024-01-31,48.70000076293945
+2024-02-01,49.0
+2024-02-02,49.0
+2024-02-05,48.54999923706055
+2024-02-06,48.0099983215332
+2024-02-07,47.45000076293945
+2024-02-08,47.790000915527344
+2024-02-09,47.08000183105469
+2024-02-12,48.13999938964844
+2024-02-13,47.58000183105469
+2024-02-14,47.75
+2024-02-15,48.58000183105469
+2024-02-16,48.56999969482422
+2024-02-20,48.52000045776367
+2024-02-21,49.209999084472656
+2024-02-22,49.2599983215332
+2024-02-23,48.81999969482422
+2024-02-26,48.560001373291016
+2024-02-27,48.459999084472656
+2024-02-28,48.15999984741211
+2024-02-29,48.33000183105469
+2024-03-01,49.34999847412109
+2024-03-04,49.41999816894531
+2024-03-05,49.65999984741211
+2024-03-06,50.02999877929688
+2024-03-07,50.77999877929688
+2024-03-08,50.400001525878906
+2024-03-11,51.52999877929688
+2024-03-12,51.56999969482422
+2024-03-13,52.56999969482422
+2024-03-14,53.22999954223633
+2024-03-15,52.869998931884766
+2024-03-18,53.43000030517578
+2024-03-19,54.47999954223633
+2024-03-20,54.400001525878906
+2024-03-21,54.43999862670898
+2024-03-22,53.9900016784668
+2024-03-25,54.310001373291016
+2024-03-26,54.06999969482422
+2024-03-27,54.900001525878906
+2024-03-28,54.810001373291016
+2024-04-01,55.220001220703125
+2024-04-02,54.68000030517578
+2024-04-03,54.86000061035156
+2024-04-04,54.27000045776367
+2024-04-05,55.02999877929688
+2024-04-08,54.040000915527344
+2024-04-09,54.16999816894531
+2024-04-10,54.20000076293945
+2024-04-11,54.0
+",
+US,technical,"Calculate the MACD Signal value for Universal Health Services on September 25, 2025. (Standard parameters: fast 12, slow 26, signal 9; Require 104 data points to warm up; EMA uses the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.7861,easy,trend,Signal Line = EMA_{n_{signal}}(MACD Line); MACD Line = EMA_{n_{fast}}(P) - EMA_{n_{slow}}(P),"date,close
+2025-04-28,172.91000366210938
+2025-04-29,171.8800048828125
+2025-04-30,177.07000732421875
+2025-05-01,174.6300048828125
+2025-05-02,178.74000549316406
+2025-05-05,178.19000244140625
+2025-05-06,184.16000366210935
+2025-05-07,186.58999633789065
+2025-05-08,183.7700042724609
+2025-05-09,181.77999877929688
+2025-05-12,191.5500030517578
+2025-05-13,192.1699981689453
+2025-05-14,187.8300018310547
+2025-05-15,195.8800048828125
+2025-05-16,197.94000244140625
+2025-05-19,196.82000732421875
+2025-05-20,195.72999572753903
+2025-05-21,190.1499938964844
+2025-05-22,186.6499938964844
+2025-05-23,186.2100067138672
+2025-05-27,192.4199981689453
+2025-05-28,190.38999938964844
+2025-05-29,191.0500030517578
+2025-05-30,190.3500061035156
+2025-06-02,187.3800048828125
+2025-06-03,188.80999755859372
+2025-06-04,188.6499938964844
+2025-06-05,189.08999633789065
+2025-06-06,189.38999938964844
+2025-06-09,177.77000427246094
+2025-06-10,172.6699981689453
+2025-06-11,172.2899932861328
+2025-06-12,173.66000366210938
+2025-06-13,171.07000732421875
+2025-06-16,170.36000061035156
+2025-06-17,171.75999450683594
+2025-06-18,171.24000549316406
+2025-06-20,171.6999969482422
+2025-06-23,173.52000427246094
+2025-06-24,175.1999969482422
+2025-06-25,175.69000244140625
+2025-06-26,177.42999267578125
+2025-06-27,178.0800018310547
+2025-06-30,181.1499938964844
+2025-07-01,188.94000244140625
+2025-07-02,184.47000122070312
+2025-07-03,184.52999877929688
+2025-07-07,181.5200042724609
+2025-07-08,182.25
+2025-07-09,182.55999755859372
+2025-07-10,184.0500030517578
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+2025-07-15,176.94000244140625
+2025-07-16,170.27999877929688
+2025-07-17,170.82000732421875
+2025-07-18,168.94000244140625
+2025-07-21,168.75
+2025-07-22,162.67999267578125
+2025-07-23,164.82000732421875
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+2025-07-25,155.60000610351562
+2025-07-28,154.9499969482422
+2025-07-29,162.82000732421875
+2025-07-30,165.44000244140625
+2025-07-31,166.4499969482422
+2025-08-01,162.97999572753906
+2025-08-04,164.67999267578125
+2025-08-05,164.6999969482422
+2025-08-06,163.47999572753906
+2025-08-07,169.02000427246094
+2025-08-08,172.3000030517578
+2025-08-11,171.66000366210938
+2025-08-12,175.2100067138672
+2025-08-13,178.50999450683594
+2025-08-14,178.74000549316406
+2025-08-15,178.47000122070312
+2025-08-18,177.61000061035156
+2025-08-19,182.55999755859372
+2025-08-20,184.6999969482422
+2025-08-21,183.9499969482422
+2025-08-22,185.5800018310547
+2025-08-25,183.8800048828125
+2025-08-26,181.4499969482422
+2025-08-27,182.41000366210935
+2025-08-28,181.22000122070312
+2025-08-29,181.5800018310547
+2025-09-02,181.50999450683597
+2025-09-03,181.57000732421875
+2025-09-04,185.67999267578125
+2025-09-05,190.1199951171875
+2025-09-08,185.75999450683597
+2025-09-09,186.42999267578125
+2025-09-10,186.05999755859372
+2025-09-11,190.7899932861328
+2025-09-12,191.72000122070312
+2025-09-15,189.5800018310547
+2025-09-16,186.25999450683597
+2025-09-17,187.38999938964844
+2025-09-18,188.1100006103516
+2025-09-19,188.63999938964844
+2025-09-22,194.16000366210935
+2025-09-23,194.72000122070312
+2025-09-24,199.6999969482422
+2025-09-25,197.6199951171875
+",
+US,technical,"What is the value of MACD Histogram for Cigna on March 21, 2022? (Standard parameters: fast 12, slow 26, signal 9; Require 104 data points to warm up; EMA uses the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0551,easy,trend,MACD Histogram = MACD Line - Signal Line; MACD Line = EMA_{n_{fast}}(P) - EMA_{n_{slow}}(P); Signal Line = EMA_{n_{signal}}(MACD Line),"date,close
+2021-10-20,214.75999450683597
+2021-10-21,216.22999572753903
+2021-10-22,216.3999938964844
+2021-10-25,215.6199951171875
+2021-10-26,215.6699981689453
+2021-10-27,213.3999938964844
+2021-10-28,215.75
+2021-10-29,213.6100006103516
+2021-11-01,216.1300048828125
+2021-11-02,214.7100067138672
+2021-11-03,218.25
+2021-11-04,213.16000366210935
+2021-11-05,214.1199951171875
+2021-11-08,218.16000366210935
+2021-11-09,216.1999969482422
+2021-11-10,217.83999633789065
+2021-11-11,217.6999969482422
+2021-11-12,217.72999572753903
+2021-11-15,215.52999877929688
+2021-11-16,217.75999450683597
+2021-11-17,216.97999572753903
+2021-11-18,218.75
+2021-11-19,210.50999450683597
+2021-11-22,211.5500030517578
+2021-11-23,213.2400054931641
+2021-11-24,210.5800018310547
+2021-11-26,202.02999877929688
+2021-11-29,199.6100006103516
+2021-11-30,191.8999938964844
+2021-12-01,194.72000122070312
+2021-12-02,197.7899932861328
+2021-12-03,199.8600006103516
+2021-12-06,206.58999633789065
+2021-12-07,207.97000122070312
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+2021-12-09,211.3000030517578
+2021-12-10,214.94000244140625
+2021-12-13,215.1499938964844
+2021-12-14,216.6199951171875
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+2021-12-16,218.6699981689453
+2021-12-17,219.6199951171875
+2021-12-20,217.0
+2021-12-21,220.2400054931641
+2021-12-22,222.3300018310547
+2021-12-23,225.88999938964844
+2021-12-27,227.8600006103516
+2021-12-28,230.5399932861328
+2021-12-29,231.6499938964844
+2021-12-30,230.75
+2021-12-31,229.6300048828125
+2022-01-03,234.1999969482422
+2022-01-04,233.3000030517578
+2022-01-05,236.5200042724609
+2022-01-06,227.5399932861328
+2022-01-07,233.17999267578125
+2022-01-10,233.69000244140625
+2022-01-11,240.13999938964844
+2022-01-12,238.77999877929688
+2022-01-13,240.5500030517578
+2022-01-14,242.1699981689453
+2022-01-18,239.97999572753903
+2022-01-19,238.8000030517578
+2022-01-20,240.38999938964844
+2022-01-21,236.25
+2022-01-24,236.4199981689453
+2022-01-25,234.7400054931641
+2022-01-26,234.0200042724609
+2022-01-27,227.42999267578125
+2022-01-28,233.4499969482422
+2022-01-31,230.4600067138672
+2022-02-01,225.91000366210935
+2022-02-02,230.0200042724609
+2022-02-03,217.55999755859372
+2022-02-04,221.3699951171875
+2022-02-07,224.47999572753903
+2022-02-08,231.7700042724609
+2022-02-09,232.3800048828125
+2022-02-10,230.2700042724609
+2022-02-11,227.5
+2022-02-14,225.2400054931641
+2022-02-15,228.41000366210935
+2022-02-16,229.0
+2022-02-17,227.1100006103516
+2022-02-18,228.6499938964844
+2022-02-22,227.72999572753903
+2022-02-23,225.08999633789065
+2022-02-24,224.42999267578125
+2022-02-25,232.83999633789065
+2022-02-28,237.77999877929688
+2022-03-01,237.1000061035156
+2022-03-02,240.50999450683597
+2022-03-03,237.80999755859372
+2022-03-04,241.6300048828125
+2022-03-07,237.8500061035156
+2022-03-08,229.1000061035156
+2022-03-09,231.25999450683597
+2022-03-10,229.4600067138672
+2022-03-11,226.8600006103516
+2022-03-14,226.1999969482422
+2022-03-15,233.0800018310547
+2022-03-16,237.5
+2022-03-17,242.38999938964844
+2022-03-18,241.16000366210935
+2022-03-21,243.50999450683597
+",
+US,technical,"On May 29, 2024, what is the MACD Histogram value for AbbVie? (Standard parameters: fast 12, slow 26, signal 9; Require 104 data points to warm up; EMA uses the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-0.5256,easy,trend,MACD Histogram = MACD Line - Signal Line; MACD Line = EMA_{n_{fast}}(P) - EMA_{n_{slow}}(P); Signal Line = EMA_{n_{signal}}(MACD Line),"date,close
+2023-12-28,154.75
+2023-12-29,154.97000122070312
+2024-01-02,159.82000732421875
+2024-01-03,160.4600067138672
+2024-01-04,161.4600067138672
+2024-01-05,162.13999938964844
+2024-01-08,161.42999267578125
+2024-01-09,162.30999755859375
+2024-01-10,164.88999938964844
+2024-01-11,163.77999877929688
+2024-01-12,162.39999389648438
+2024-01-16,161.47999572753906
+2024-01-17,162.0399932861328
+2024-01-18,163.3000030517578
+2024-01-19,164.77000427246094
+2024-01-22,165.38999938964844
+2024-01-23,167.5
+2024-01-24,164.22000122070312
+2024-01-25,165.1300048828125
+2024-01-26,164.39999389648438
+2024-01-29,163.91000366210938
+2024-01-30,164.9199981689453
+2024-01-31,164.39999389648438
+2024-02-01,167.58999633789062
+2024-02-02,168.6699981689453
+2024-02-05,171.25999450683594
+2024-02-06,173.2899932861328
+2024-02-07,175.00999450683594
+2024-02-08,174.7899932861328
+2024-02-09,174.0800018310547
+2024-02-12,173.07000732421875
+2024-02-13,173.2899932861328
+2024-02-14,174.4199981689453
+2024-02-15,176.58999633789062
+2024-02-16,177.49000549316406
+2024-02-20,175.75
+2024-02-21,175.13999938964844
+2024-02-22,176.75
+2024-02-23,178.08999633789062
+2024-02-26,178.80999755859375
+2024-02-27,178.99000549316406
+2024-02-28,178.0
+2024-02-29,176.0500030517578
+2024-03-01,178.91000366210938
+2024-03-04,177.0500030517578
+2024-03-05,179.16000366210938
+2024-03-06,181.05999755859372
+2024-03-07,180.57000732421875
+2024-03-08,178.85000610351562
+2024-03-11,179.6300048828125
+2024-03-12,180.9199981689453
+2024-03-13,179.86000061035156
+2024-03-14,181.1999969482422
+2024-03-15,177.8800048828125
+2024-03-18,178.49000549316406
+2024-03-19,179.66000366210938
+2024-03-20,176.27000427246094
+2024-03-21,177.5
+2024-03-22,178.4499969482422
+2024-03-25,178.52999877929688
+2024-03-26,179.19000244140625
+2024-03-27,180.3500061035156
+2024-03-28,182.1000061035156
+2024-04-01,180.75999450683597
+2024-04-02,180.69000244140625
+2024-04-03,177.3300018310547
+2024-04-04,167.89999389648438
+2024-04-05,170.0
+2024-04-08,169.8000030517578
+2024-04-09,170.13999938964844
+2024-04-10,169.02999877929688
+2024-04-11,167.52000427246094
+2024-04-12,162.27999877929688
+2024-04-15,161.6699981689453
+2024-04-16,162.5399932861328
+2024-04-17,164.25
+2024-04-18,164.66000366210938
+2024-04-19,166.41000366210938
+2024-04-22,167.88999938964844
+2024-04-23,169.5399932861328
+2024-04-24,167.8000030517578
+2024-04-25,167.2899932861328
+2024-04-26,159.6199951171875
+2024-04-29,161.52000427246094
+2024-04-30,162.63999938964844
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+",
+US,technical,"What was Cintas's MACD Histogram on July 15, 2021? (Standard parameters: fast 12, slow 26, signal 9; Require 104 data points to warm up; EMA uses the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-0.426,easy,trend,MACD Histogram = MACD Line - Signal Line; MACD Line = EMA_{n_{fast}}(P) - EMA_{n_{slow}}(P); Signal Line = EMA_{n_{signal}}(MACD Line),"date,close
+2021-02-16,86.2750015258789
+2021-02-17,84.77749633789062
+2021-02-18,85.11250305175781
+2021-02-19,85.87249755859375
+2021-02-22,85.125
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+2021-02-24,84.57749938964844
+2021-02-25,82.01249694824219
+2021-02-26,81.08499908447266
+2021-03-01,86.22000122070312
+2021-03-02,85.5999984741211
+2021-03-03,84.07749938964844
+2021-03-04,81.68250274658203
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+2021-03-09,86.45999908447266
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+2021-03-16,86.98750305175781
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+2021-03-29,85.30000305175781
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+2021-06-10,87.77749633789062
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+2021-06-16,89.20999908447266
+2021-06-17,90.42250061035156
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+2021-06-22,93.625
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+2021-06-25,94.56500244140624
+2021-06-28,94.89749908447266
+2021-06-29,95.62999725341795
+2021-06-30,95.5
+2021-07-01,95.2300033569336
+2021-07-02,95.875
+2021-07-06,95.69499969482422
+2021-07-07,97.40249633789062
+2021-07-08,96.6999969482422
+2021-07-09,97.08000183105467
+2021-07-12,98.01750183105467
+2021-07-13,95.24500274658205
+2021-07-14,94.7375030517578
+2021-07-15,92.2874984741211
+",
+US,technical,"For MACD Histogram, what is the value of Mid-America Apartment Communities on April 15, 2020? (Standard parameters: fast 12, slow 26, signal 9; Require 104 data points to warm up; EMA uses the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.819,easy,trend,MACD Histogram = MACD Line - Signal Line; MACD Line = EMA_{n_{fast}}(P) - EMA_{n_{slow}}(P); Signal Line = EMA_{n_{signal}}(MACD Line),"date,close
+2019-11-13,134.64999389648438
+2019-11-14,136.72000122070312
+2019-11-15,138.3300018310547
+2019-11-18,137.6699981689453
+2019-11-19,137.38999938964844
+2019-11-20,137.44000244140625
+2019-11-21,135.3800048828125
+2019-11-22,134.39999389648438
+2019-11-25,134.16000366210938
+2019-11-26,137.07000732421875
+2019-11-27,137.11000061035156
+2019-11-29,136.11000061035156
+2019-12-02,133.66000366210938
+2019-12-03,134.1199951171875
+2019-12-04,134.75
+2019-12-05,135.0
+2019-12-06,134.7899932861328
+2019-12-09,135.0
+2019-12-10,133.42999267578125
+2019-12-11,131.63999938964844
+2019-12-12,130.77999877929688
+2019-12-13,130.5
+2019-12-16,130.5399932861328
+2019-12-17,128.0800018310547
+2019-12-18,128.8699951171875
+2019-12-19,129.32000732421875
+2019-12-20,130.05999755859375
+2019-12-23,129.0399932861328
+2019-12-24,129.36000061035156
+2019-12-26,129.42999267578125
+2019-12-27,130.0
+2019-12-30,130.5500030517578
+2019-12-31,131.86000061035156
+2020-01-02,129.61000061035156
+2020-01-03,131.07000732421875
+2020-01-06,131.25999450683594
+2020-01-07,129.3000030517578
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+2020-01-21,135.5500030517578
+2020-01-22,134.92999267578125
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+2020-01-28,137.44000244140625
+2020-01-29,136.5800018310547
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+2020-01-31,137.2100067138672
+2020-02-03,137.14999389648438
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+2020-02-05,139.13999938964844
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+2020-02-18,146.11000061035156
+2020-02-19,145.02999877929688
+2020-02-20,147.6999969482422
+2020-02-21,147.77000427246094
+2020-02-24,145.91000366210938
+2020-02-25,143.07000732421875
+2020-02-26,142.32000732421875
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+2020-02-28,129.25999450683594
+2020-03-02,135.39999389648438
+2020-03-03,137.27000427246094
+2020-03-04,145.0
+2020-03-05,144.77000427246094
+2020-03-06,143.3000030517578
+2020-03-09,134.3000030517578
+2020-03-10,140.07000732421875
+2020-03-11,133.8800048828125
+2020-03-12,117.61000061035156
+2020-03-13,126.0
+2020-03-16,104.9499969482422
+2020-03-17,113.16999816894533
+2020-03-18,100.0999984741211
+2020-03-19,99.47000122070312
+2020-03-20,87.5
+2020-03-23,84.66999816894531
+2020-03-24,89.18000030517578
+2020-03-25,97.83999633789062
+2020-03-26,102.79000091552734
+2020-03-27,107.5999984741211
+2020-03-30,107.12999725341795
+2020-03-31,103.02999877929688
+2020-04-01,98.73999786376952
+2020-04-02,94.25
+2020-04-03,94.30999755859376
+2020-04-06,105.27999877929688
+2020-04-07,103.79000091552734
+2020-04-08,110.93000030517578
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+2020-04-13,111.37000274658205
+2020-04-14,114.0199966430664
+2020-04-15,109.9800033569336
+",
+US,technical,"Calculate the MACD Histogram value for AppLovin on February 27, 2023. (Standard parameters: fast 12, slow 26, signal 9; Require 104 data points to warm up; EMA uses the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-0.2377,easy,trend,MACD Histogram = MACD Line - Signal Line; MACD Line = EMA_{n_{fast}}(P) - EMA_{n_{slow}}(P); Signal Line = EMA_{n_{signal}}(MACD Line),"date,close
+2022-09-27,20.3799991607666
+2022-09-28,21.3700008392334
+2022-09-29,19.68000030517578
+2022-09-30,19.489999771118164
+2022-10-03,20.420000076293945
+2022-10-04,21.239999771118164
+2022-10-05,20.76000022888184
+2022-10-06,20.540000915527344
+2022-10-07,19.21999931335449
+2022-10-10,18.479999542236328
+2022-10-11,17.770000457763672
+2022-10-12,18.100000381469727
+2022-10-13,18.34000015258789
+2022-10-14,17.829999923706055
+2022-10-17,18.440000534057617
+2022-10-18,18.6299991607666
+2022-10-19,17.440000534057617
+2022-10-20,17.799999237060547
+2022-10-21,17.520000457763672
+2022-10-24,17.670000076293945
+2022-10-25,18.799999237060547
+2022-10-26,17.989999771118164
+2022-10-27,17.579999923706055
+2022-10-28,17.389999389648438
+2022-10-31,16.959999084472656
+2022-11-01,17.1200008392334
+2022-11-02,16.06999969482422
+2022-11-03,15.289999961853027
+2022-11-04,14.84000015258789
+2022-11-07,14.9399995803833
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+2022-11-16,14.56999969482422
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+2023-01-03,10.729999542236328
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+2023-01-31,12.699999809265137
+2023-02-01,13.359999656677246
+2023-02-02,14.1899995803833
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+2023-02-06,12.600000381469728
+2023-02-07,12.850000381469728
+2023-02-08,12.68000030517578
+2023-02-09,16.110000610351562
+2023-02-10,15.289999961853027
+2023-02-13,15.859999656677246
+2023-02-14,15.970000267028809
+2023-02-15,16.8700008392334
+2023-02-16,15.600000381469728
+2023-02-17,14.989999771118164
+2023-02-21,14.199999809265137
+2023-02-22,15.170000076293944
+2023-02-23,14.489999771118164
+2023-02-24,14.210000038146973
+2023-02-27,13.40999984741211
+",
+US,technical,"What is the value of Parabolic SAR for McKesson Corporation on October 29, 2021? (Initial AF 0.02, step 0.02, max 0.20; Require 10 data points to warm up) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",202.61,easy,trend,"SAR_t = SAR_{t-1} + AF * (EP - SAR_{t-1}); EP is the extreme point of the current trend (high for long, low for short); AF starts at initial_af, accelerates by step_af each new extreme until max_af; on reversal SAR resets to the prior trend EP and AF resets to initial_af","date,high,low,close
+2021-10-15,205.5800018310547,203.0,204.1699981689453
+2021-10-18,203.75,200.7400054931641,200.8000030517578
+2021-10-19,203.72999572753903,201.58999633789065,202.58999633789065
+2021-10-20,207.42999267578125,202.8000030517578,206.08999633789065
+2021-10-21,207.25,204.72000122070312,207.19000244140625
+2021-10-22,209.30999755859372,206.8500061035156,209.08999633789065
+2021-10-25,210.1699981689453,207.27999877929688,207.4499969482422
+2021-10-26,209.1499938964844,206.0,207.97000122070312
+2021-10-27,208.4199981689453,202.6100006103516,203.02999877929688
+2021-10-28,206.05999755859372,203.32000732421875,205.0200042724609
+2021-10-29,208.6000061035156,203.33999633789065,207.8800048828125
+",
+US,technical,"On August 09, 2023, what is the Parabolic SAR value for NVR? (Initial AF 0.02, step 0.02, max 0.20; Require 10 data points to warm up) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",6391.4199,easy,trend,"SAR_t = SAR_{t-1} + AF * (EP - SAR_{t-1}); EP is the extreme point of the current trend (high for long, low for short); AF starts at initial_af, accelerates by step_af each new extreme until max_af; on reversal SAR resets to the prior trend EP and AF resets to initial_af","date,high,low,close
+2023-07-26,6443.89990234375,6340.5,6382.97998046875
+2023-07-27,6389.0,6265.2099609375,6301.7099609375
+2023-07-28,6374.97998046875,6300.0,6343.330078125
+2023-07-31,6369.72021484375,6262.72998046875,6306.43994140625
+2023-08-01,6350.0,6283.0,6324.0
+2023-08-02,6326.9501953125,6200.0,6303.83984375
+2023-08-03,6290.0,6180.0,6248.02001953125
+2023-08-04,6339.0,6246.77978515625,6320.97021484375
+2023-08-07,6391.419921875,6305.0,6387.740234375
+2023-08-08,6369.93994140625,6276.66015625,6348.759765625
+2023-08-09,6350.0,6251.81982421875,6261.60986328125
+",
+US,technical,"What was Domino's's Parabolic SAR on July 16, 2020? (Initial AF 0.02, step 0.02, max 0.20; Require 10 data points to warm up) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",385.4623,easy,trend,"SAR_t = SAR_{t-1} + AF * (EP - SAR_{t-1}); EP is the extreme point of the current trend (high for long, low for short); AF starts at initial_af, accelerates by step_af each new extreme until max_af; on reversal SAR resets to the prior trend EP and AF resets to initial_af","date,high,low,close
+2020-07-01,377.0199890136719,369.6000061035156,375.7099914550781
+2020-07-02,379.989990234375,372.1199951171875,374.0899963378906
+2020-07-06,387.010009765625,376.2099914550781,385.0
+2020-07-07,388.7300109863281,380.8800048828125,381.1400146484375
+2020-07-08,385.4299926757813,381.4599914550781,384.1400146484375
+2020-07-09,387.3399963378906,378.3800048828125,385.5
+2020-07-10,398.9100036621094,383.7099914550781,398.30999755859375
+2020-07-13,417.1499938964844,401.239990234375,401.3800048828125
+2020-07-14,405.4299926757813,390.5799865722656,402.2999877929688
+2020-07-15,417.3399963378906,399.4299926757813,413.6799926757813
+2020-07-16,422.1499938964844,403.6900024414063,407.5199890136719
+",
+US,technical,"For Parabolic SAR, what is the value of Palantir Technologies on June 12, 2024? (Initial AF 0.02, step 0.02, max 0.20; Require 10 data points to warm up) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",22.0292,easy,trend,"SAR_t = SAR_{t-1} + AF * (EP - SAR_{t-1}); EP is the extreme point of the current trend (high for long, low for short); AF starts at initial_af, accelerates by step_af each new extreme until max_af; on reversal SAR resets to the prior trend EP and AF resets to initial_af","date,high,low,close
+2024-05-29,20.989999771118164,20.63999938964844,20.940000534057617
+2024-05-30,21.959999084472656,21.020000457763672,21.729999542236328
+2024-05-31,22.200000762939453,21.309999465942383,21.68000030517578
+2024-06-03,21.790000915527344,21.0049991607666,21.31999969482422
+2024-06-04,22.26000022888184,21.040000915527344,22.100000381469727
+2024-06-05,22.979999542236328,22.21999931335449,22.959999084472656
+2024-06-06,23.950000762939453,22.979999542236328,23.790000915527344
+2024-06-07,23.56999969482422,23.059999465942383,23.309999465942383
+2024-06-10,23.15999984741211,22.65999984741211,23.1299991607666
+2024-06-11,23.950000762939453,22.88999938964844,23.850000381469727
+2024-06-12,24.32999992370605,23.56999969482422,23.770000457763672
+",
+US,technical,"Calculate the Parabolic SAR value for Ingersoll Rand on December 12, 2023. (Initial AF 0.02, step 0.02, max 0.20; Require 10 data points to warm up) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",70.8087,easy,trend,"SAR_t = SAR_{t-1} + AF * (EP - SAR_{t-1}); EP is the extreme point of the current trend (high for long, low for short); AF starts at initial_af, accelerates by step_af each new extreme until max_af; on reversal SAR resets to the prior trend EP and AF resets to initial_af","date,high,low,close
+2023-11-28,71.23999786376953,69.63999938964844,69.66000366210938
+2023-11-29,70.4000015258789,69.45999908447266,69.5999984741211
+2023-11-30,71.5199966430664,69.51000213623047,71.43000030517578
+2023-12-01,72.7300033569336,71.36000061035156,72.23999786376953
+2023-12-04,72.16000366210938,71.29000091552734,72.0199966430664
+2023-12-05,72.44000244140625,71.54000091552734,71.95999908447266
+2023-12-06,72.9800033569336,71.20999908447266,71.37999725341797
+2023-12-07,72.55999755859375,71.53500366210938,72.55000305175781
+2023-12-08,73.41999816894531,72.3949966430664,73.30999755859375
+2023-12-11,74.48999786376953,73.37999725341797,73.9800033569336
+2023-12-12,74.8499984741211,74.06600189208984,74.26000213623047
+",
+US,technical,"What is the value of Stochastic RSI for Coterra on February 01, 2021? (Standard parameters: RSI period 14, Stoch period 14, smooth 3; Gain/Loss calculation uses Wilder smoothing, using the first data point as the initial value; output smoothed with SMA; Require 73 data points to warm up) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0778,easy,momentum,"StochRSI_Smoothed = SMA_k(StochRSI); StochRSI = (RSI - min(RSI, k)) / (max(RSI, k) - min(RSI, k)) * 100; RSI = 100 - (100 / (1 + Gain / Loss)); Gain = Wilder_n(max(Change, 0)); Loss = Wilder_n(-min(Change, 0))","date,close
+2020-10-15,19.46999931335449
+2020-10-16,19.100000381469727
+2020-10-19,19.07999992370605
+2020-10-20,19.270000457763672
+2020-10-21,19.18000030517578
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+2021-01-14,19.299999237060547
+2021-01-15,19.06999969482422
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+2021-01-25,18.690000534057617
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+2021-01-28,18.3799991607666
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+",
+US,technical,"On September 24, 2020, what is the Stochastic RSI value for Jack Henry & Associates? (Standard parameters: RSI period 14, Stoch period 14, smooth 3; Gain/Loss calculation uses Wilder smoothing, using the first data point as the initial value; output smoothed with SMA; Require 73 data points to warm up) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.7647,easy,momentum,"StochRSI_Smoothed = SMA_k(StochRSI); StochRSI = (RSI - min(RSI, k)) / (max(RSI, k) - min(RSI, k)) * 100; RSI = 100 - (100 / (1 + Gain / Loss)); Gain = Wilder_n(max(Change, 0)); Loss = Wilder_n(-min(Change, 0))","date,close
+2020-06-11,174.89999389648438
+2020-06-12,172.25
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+2020-06-16,175.88999938964844
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+2020-06-19,181.2899932861328
+2020-06-22,183.1699981689453
+2020-06-23,182.1199951171875
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+2020-06-25,180.25
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+2020-09-22,163.1199951171875
+2020-09-23,159.41000366210938
+2020-09-24,157.6199951171875
+",
+US,technical,"What was Arthur J. Gallagher & Co.'s Stochastic RSI on March 25, 2025? (Standard parameters: RSI period 14, Stoch period 14, smooth 3; Gain/Loss calculation uses Wilder smoothing, using the first data point as the initial value; output smoothed with SMA; Require 73 data points to warm up) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.5519,easy,momentum,"StochRSI_Smoothed = SMA_k(StochRSI); StochRSI = (RSI - min(RSI, k)) / (max(RSI, k) - min(RSI, k)) * 100; RSI = 100 - (100 / (1 + Gain / Loss)); Gain = Wilder_n(max(Change, 0)); Loss = Wilder_n(-min(Change, 0))","date,close
+2024-12-05,303.5799865722656
+2024-12-06,296.7099914550781
+2024-12-09,291.8500061035156
+2024-12-10,283.739990234375
+2024-12-11,283.5799865722656
+2024-12-12,281.19000244140625
+2024-12-13,284.5899963378906
+2024-12-16,286.0
+2024-12-17,282.9100036621094
+2024-12-18,278.489990234375
+2024-12-19,279.0899963378906
+2024-12-20,283.1000061035156
+2024-12-23,284.510009765625
+2024-12-24,288.3500061035156
+2024-12-26,288.3599853515625
+2024-12-27,286.5400085449219
+2024-12-30,284.4599914550781
+2024-12-31,283.8500061035156
+2025-01-02,275.8900146484375
+2025-01-03,280.3999938964844
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+2025-01-07,279.7699890136719
+2025-01-08,285.5
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+2025-01-14,289.1099853515625
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+2025-01-17,294.82000732421875
+2025-01-21,296.7699890136719
+2025-01-22,293.5
+2025-01-23,288.0
+2025-01-24,289.510009765625
+2025-01-27,296.0
+2025-01-28,293.4100036621094
+2025-01-29,294.1000061035156
+2025-01-30,299.0299987792969
+2025-01-31,301.82000732421875
+2025-02-03,309.0
+2025-02-04,312.2099914550781
+2025-02-05,316.29998779296875
+2025-02-06,319.989990234375
+2025-02-07,322.3299865722656
+2025-02-10,324.2900085449219
+2025-02-11,322.0
+2025-02-12,324.6099853515625
+2025-02-13,328.5599975585937
+2025-02-14,321.5
+2025-02-18,326.29998779296875
+2025-02-19,327.3299865722656
+2025-02-20,325.1300048828125
+2025-02-21,325.5599975585937
+2025-02-24,328.489990234375
+2025-02-25,331.8299865722656
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+2025-02-28,337.739990234375
+2025-03-03,341.79998779296875
+2025-03-04,337.2699890136719
+2025-03-05,340.7900085449219
+2025-03-06,339.8500061035156
+2025-03-07,324.0
+2025-03-10,321.8500061035156
+2025-03-11,325.75
+2025-03-12,325.0799865722656
+2025-03-13,322.8500061035156
+2025-03-14,325.239990234375
+2025-03-17,329.1400146484375
+2025-03-18,329.6600036621094
+2025-03-19,326.6400146484375
+2025-03-20,334.44000244140625
+2025-03-21,331.7900085449219
+2025-03-24,337.6700134277344
+2025-03-25,337.3599853515625
+",
+US,technical,"For Stochastic RSI, what is the value of Fair Isaac on July 12, 2022? (Standard parameters: RSI period 14, Stoch period 14, smooth 3; Gain/Loss calculation uses Wilder smoothing, using the first data point as the initial value; output smoothed with SMA; Require 73 data points to warm up) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.6937,easy,momentum,"StochRSI_Smoothed = SMA_k(StochRSI); StochRSI = (RSI - min(RSI, k)) / (max(RSI, k) - min(RSI, k)) * 100; RSI = 100 - (100 / (1 + Gain / Loss)); Gain = Wilder_n(max(Change, 0)); Loss = Wilder_n(-min(Change, 0))","date,close
+2022-03-25,457.5
+2022-03-28,462.3900146484375
+2022-03-29,479.3599853515625
+2022-03-30,476.9599914550781
+2022-03-31,466.4599914550781
+2022-04-01,449.2900085449219
+2022-04-04,452.4299926757813
+2022-04-05,439.9100036621094
+2022-04-06,419.1000061035156
+2022-04-07,421.1799926757813
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+2022-04-11,411.010009765625
+2022-04-12,407.3999938964844
+2022-04-13,414.9800109863281
+2022-04-14,413.7200012207031
+2022-04-18,404.739990234375
+2022-04-19,409.5499877929688
+2022-04-20,408.0899963378906
+2022-04-21,386.6700134277344
+2022-04-22,382.6000061035156
+2022-04-25,386.5
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+2022-04-27,375.2799987792969
+2022-04-28,385.3800048828125
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+2022-05-02,374.0899963378906
+2022-05-03,370.5199890136719
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+2022-05-10,358.4100036621094
+2022-05-11,351.0899963378906
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+2022-05-16,364.3999938964844
+2022-05-17,379.6000061035156
+2022-05-18,375.6300048828125
+2022-05-19,378.7200012207031
+2022-05-20,395.4200134277344
+2022-05-23,398.7200012207031
+2022-05-24,390.8399963378906
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+2022-05-26,401.6199951171875
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+2022-05-31,409.5499877929688
+2022-06-01,406.25
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+2022-06-03,420.4500122070313
+2022-06-06,416.5899963378906
+2022-06-07,421.8800048828125
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+2022-06-15,395.7999877929688
+2022-06-16,374.7900085449219
+2022-06-17,379.0299987792969
+2022-06-21,385.010009765625
+2022-06-22,386.6300048828125
+2022-06-23,402.239990234375
+2022-06-24,416.1499938964844
+2022-06-27,415.0299987792969
+2022-06-28,401.3599853515625
+2022-06-29,401.05999755859375
+2022-06-30,400.8999938964844
+2022-07-01,408.260009765625
+2022-07-05,411.3299865722656
+2022-07-06,419.0
+2022-07-07,423.6099853515625
+2022-07-08,418.8500061035156
+2022-07-11,417.8200073242188
+2022-07-12,412.1300048828125
+",
+US,technical,"Calculate the Stochastic RSI value for Jabil on December 19, 2025. (Standard parameters: RSI period 14, Stoch period 14, smooth 3; Gain/Loss calculation uses Wilder smoothing, using the first data point as the initial value; output smoothed with SMA; Require 73 data points to warm up) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.2606,easy,momentum,"StochRSI_Smoothed = SMA_k(StochRSI); StochRSI = (RSI - min(RSI, k)) / (max(RSI, k) - min(RSI, k)) * 100; RSI = 100 - (100 / (1 + Gain / Loss)); Gain = Wilder_n(max(Change, 0)); Loss = Wilder_n(-min(Change, 0))","date,close
+2025-09-08,209.1699981689453
+2025-09-09,209.22000122070312
+2025-09-10,215.72000122070312
+2025-09-11,214.27999877929688
+2025-09-12,214.05999755859372
+2025-09-15,216.05999755859372
+2025-09-16,213.3300018310547
+2025-09-17,213.63999938964844
+2025-09-18,223.2899932861328
+2025-09-19,224.33999633789065
+2025-09-22,233.22999572753903
+2025-09-23,234.4499969482422
+2025-09-24,225.27999877929688
+2025-09-25,210.1999969482422
+2025-09-26,215.83999633789065
+2025-09-29,214.50999450683597
+2025-09-30,217.1699981689453
+2025-10-01,214.83999633789065
+2025-10-02,215.69000244140625
+2025-10-03,202.0800018310547
+2025-10-06,202.1999969482422
+2025-10-07,202.6199951171875
+2025-10-08,206.52999877929688
+2025-10-09,204.7100067138672
+2025-10-10,193.9900054931641
+2025-10-13,199.8999938964844
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+2025-10-15,206.8800048828125
+2025-10-16,209.7400054931641
+2025-10-17,209.33999633789065
+2025-10-20,204.0200042724609
+2025-10-21,201.1199951171875
+2025-10-22,198.75
+2025-10-23,206.57000732421875
+2025-10-24,212.44000244140625
+2025-10-27,211.22999572753903
+2025-10-28,214.5200042724609
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+2025-11-03,220.30999755859372
+2025-11-04,209.22000122070312
+2025-11-05,218.1499938964844
+2025-11-06,215.05999755859372
+2025-11-07,213.7100067138672
+2025-11-10,219.25999450683597
+2025-11-11,211.08999633789065
+2025-11-12,213.92999267578125
+2025-11-13,201.82000732421875
+2025-11-14,201.8699951171875
+2025-11-17,200.4600067138672
+2025-11-18,198.8800048828125
+2025-11-19,200.08999633789065
+2025-11-20,192.4900054931641
+2025-11-21,196.6999969482422
+2025-11-24,197.1499938964844
+2025-11-25,203.97999572753903
+2025-11-26,207.22999572753903
+2025-11-28,210.7100067138672
+2025-12-01,209.9900054931641
+2025-12-02,212.0500030517578
+2025-12-03,214.0500030517578
+2025-12-04,218.72000122070312
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+2025-12-08,225.4199981689453
+2025-12-09,228.08999633789065
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+2025-12-11,234.25
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+2025-12-17,216.3000030517578
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+",
+US,technical,"What is the value of Percentage Price Oscillator for Public Service Enterprise Group on November 14, 2022? (Standard parameters: fast 12, slow 26; Require 104 data points to warm up; EMA uses the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-0.0409,easy,trend,PPO = (EMA_{n_{fast}}(P) - EMA_{n_{slow}}(P)) / EMA_{n_{slow}}(P) * 100,"date,close
+2022-06-16,59.0
+2022-06-17,59.15999984741211
+2022-06-21,59.65999984741211
+2022-06-22,59.81999969482422
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+2022-06-27,62.83000183105469
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+2022-07-13,61.0
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+",
+US,technical,"On July 12, 2021, what is the Percentage Price Oscillator value for Oneok? (Standard parameters: fast 12, slow 26; Require 104 data points to warm up; EMA uses the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.1817,easy,trend,PPO = (EMA_{n_{fast}}(P) - EMA_{n_{slow}}(P)) / EMA_{n_{slow}}(P) * 100,"date,close
+2021-02-10,44.75
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+",
+US,technical,"What was Dexcom's Percentage Price Oscillator on January 26, 2022? (Standard parameters: fast 12, slow 26; Require 104 data points to warm up; EMA uses the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-7.6316,easy,trend,PPO = (EMA_{n_{fast}}(P) - EMA_{n_{slow}}(P)) / EMA_{n_{slow}}(P) * 100,"date,close
+2021-08-27,130.17750549316406
+2021-08-30,130.38499450683594
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+2021-09-01,136.22999572753906
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+",
+US,technical,"For Percentage Price Oscillator, what is the value of CVS Health on March 23, 2022? (Standard parameters: fast 12, slow 26; Require 104 data points to warm up; EMA uses the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.7819,easy,trend,PPO = (EMA_{n_{fast}}(P) - EMA_{n_{slow}}(P)) / EMA_{n_{slow}}(P) * 100,"date,close
+2021-10-22,87.5199966430664
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+2022-03-21,107.38999938964844
+2022-03-22,107.2300033569336
+2022-03-23,106.1999969482422
+",
+US,technical,"Calculate the Percentage Price Oscillator value for PPL Corporation on April 26, 2023. (Standard parameters: fast 12, slow 26; Require 104 data points to warm up; EMA uses the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0173,easy,trend,PPO = (EMA_{n_{fast}}(P) - EMA_{n_{slow}}(P)) / EMA_{n_{slow}}(P) * 100,"date,close
+2022-11-23,29.11000061035156
+2022-11-25,29.229999542236328
+2022-11-28,29.100000381469727
+2022-11-29,29.020000457763672
+2022-11-30,29.520000457763672
+2022-12-01,29.290000915527344
+2022-12-02,29.18000030517578
+2022-12-05,29.07999992370605
+2022-12-06,29.299999237060547
+2022-12-07,28.979999542236328
+2022-12-08,29.059999465942383
+2022-12-09,28.950000762939453
+2022-12-12,29.450000762939453
+2022-12-13,29.34000015258789
+2022-12-14,29.420000076293945
+2022-12-15,29.36000061035156
+2022-12-16,29.1299991607666
+2022-12-19,29.11000061035156
+2022-12-20,29.15999984741211
+2022-12-21,29.399999618530277
+2022-12-22,29.18000030517578
+2022-12-23,29.540000915527344
+2022-12-27,29.690000534057617
+2022-12-28,29.440000534057617
+2022-12-29,29.65999984741211
+2022-12-30,29.21999931335449
+2023-01-03,29.200000762939453
+2023-01-04,29.93000030517578
+2023-01-05,29.239999771118164
+2023-01-06,29.959999084472656
+2023-01-09,30.170000076293945
+2023-01-10,30.170000076293945
+2023-01-11,30.799999237060547
+2023-01-12,30.71999931335449
+2023-01-13,30.61000061035156
+2023-01-17,30.59000015258789
+2023-01-18,29.709999084472656
+2023-01-19,29.149999618530277
+2023-01-20,29.31999969482422
+2023-01-23,29.31999969482422
+2023-01-24,29.489999771118164
+2023-01-25,29.5
+2023-01-26,29.68000030517578
+2023-01-27,29.6299991607666
+2023-01-30,29.450000762939453
+2023-01-31,29.600000381469727
+2023-02-01,29.61000061035156
+2023-02-02,29.38999938964844
+2023-02-03,28.65999984741211
+2023-02-06,28.84000015258789
+2023-02-07,28.75
+2023-02-08,28.3700008392334
+2023-02-09,28.059999465942383
+2023-02-10,28.65999984741211
+2023-02-13,28.809999465942383
+2023-02-14,28.540000915527344
+2023-02-15,28.68000030517578
+2023-02-16,28.450000762939453
+2023-02-17,28.809999465942383
+2023-02-21,27.81999969482422
+2023-02-22,27.709999084472656
+2023-02-23,27.86000061035156
+2023-02-24,27.690000534057617
+2023-02-27,27.549999237060547
+2023-02-28,27.06999969482422
+2023-03-01,26.68000030517578
+2023-03-02,27.1200008392334
+2023-03-03,27.38999938964844
+2023-03-06,27.479999542236328
+2023-03-07,26.8799991607666
+2023-03-08,27.0
+2023-03-09,26.57999992370605
+2023-03-10,26.25
+2023-03-13,26.76000022888184
+2023-03-14,26.989999771118164
+2023-03-15,27.239999771118164
+2023-03-16,27.200000762939453
+2023-03-17,26.82999992370605
+2023-03-20,27.270000457763672
+2023-03-21,26.780000686645508
+2023-03-22,26.26000022888184
+2023-03-23,25.90999984741211
+2023-03-24,26.780000686645508
+2023-03-27,26.959999084472656
+2023-03-28,27.09000015258789
+2023-03-29,27.530000686645508
+2023-03-30,27.549999237060547
+2023-03-31,27.790000915527344
+2023-04-03,27.57999992370605
+2023-04-04,27.549999237060547
+2023-04-05,28.3799991607666
+2023-04-06,28.549999237060547
+2023-04-10,28.63999938964844
+2023-04-11,28.82999992370605
+2023-04-12,28.65999984741211
+2023-04-13,28.76000022888184
+2023-04-14,28.56999969482422
+2023-04-17,28.71999931335449
+2023-04-18,28.489999771118164
+2023-04-19,28.700000762939453
+2023-04-20,28.600000381469727
+2023-04-21,28.690000534057617
+2023-04-24,28.670000076293945
+2023-04-25,28.700000762939453
+2023-04-26,28.32999992370605
+",
+US,technical,"What is the value of True Range for Camden Property Trust on December 27, 2021? Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.74,easy,volatility,"TR_t = max(H_t - L_t, |H_t - C_{t-1}|, |L_t - C_{t-1}|)","date,high,low,close
+2021-12-23,175.50999450683594,172.1199951171875,173.49000549316406
+2021-12-27,176.63999938964844,172.89999389648438,176.55999755859375
+",
+US,technical,"On June 30, 2021, what is the True Range value for Electronic Arts? Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.49,easy,volatility,"TR_t = max(H_t - L_t, |H_t - C_{t-1}|, |L_t - C_{t-1}|)","date,high,low,close
+2021-06-29,144.52999877929688,142.22999572753906,144.10000610351562
+2021-06-30,144.63999938964844,143.14999389648438,143.8300018310547
+",
+US,technical,"What was Qualcomm's True Range on August 13, 2024? Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",6.67,easy,volatility,"TR_t = max(H_t - L_t, |H_t - C_{t-1}|, |L_t - C_{t-1}|)","date,high,low,close
+2024-08-12,163.38999938964844,157.4199981689453,162.88999938964844
+2024-08-13,169.55999755859375,163.27999877929688,169.47000122070312
+",
+US,technical,"For True Range, what is the value of Molina Healthcare on August 22, 2022? Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",4.0,easy,volatility,"TR_t = max(H_t - L_t, |H_t - C_{t-1}|, |L_t - C_{t-1}|)","date,high,low,close
+2022-08-19,334.739990234375,327.989990234375,331.7099914550781
+2022-08-22,331.20001220703125,327.7099914550781,329.5
+",
+US,technical,"Calculate the True Range value for Booking Holdings on March 22, 2022. Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.2332,easy,volatility,"TR_t = max(H_t - L_t, |H_t - C_{t-1}|, |L_t - C_{t-1}|)","date,high,low,close
+2022-03-21,88.18000030517578,85.68000030517578,86.45559692382812
+2022-03-22,88.68879699707031,86.5604019165039,88.07839965820312
+",
+US,technical,"What is the value of Chaikin Volatility for BXP on September 30, 2024? (Standard parameters: (10, 10); Require 50 bars to warm up; EMA uses the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-0.0758,easy,volatility,HL_EMA_t = EMA_n(H - L); ChaikinVol_t = HL_EMA_t / HL_EMA_{t-m} - 1,"date,high,low
+2024-07-19,67.55999755859375,66.06999969482422
+2024-07-22,67.91999816894531,66.06999969482422
+2024-07-23,69.69999694824219,67.20999908447266
+2024-07-24,70.19999694824219,66.93000030517578
+2024-07-25,69.37000274658203,66.91999816894531
+2024-07-26,70.55999755859375,68.63999938964844
+2024-07-29,71.6500015258789,70.01000213623047
+2024-07-30,72.8499984741211,70.04000091552734
+2024-07-31,73.37000274658203,69.0
+2024-08-01,73.0999984741211,69.51000213623047
+2024-08-02,68.77999877929688,65.47000122070312
+2024-08-05,67.0199966430664,62.4900016784668
+2024-08-06,69.91999816894531,65.69999694824219
+2024-08-07,70.06999969482422,67.11000061035156
+2024-08-08,68.88999938964844,67.55999755859375
+2024-08-09,69.05000305175781,67.58000183105469
+2024-08-12,68.61000061035156,66.62000274658203
+2024-08-13,68.91000366210938,67.33000183105469
+2024-08-14,69.41999816894531,68.30999755859375
+2024-08-15,70.62999725341797,68.76000213623047
+2024-08-16,70.5199966430664,69.01000213623047
+2024-08-19,71.4000015258789,69.97000122070312
+2024-08-20,71.27999877929688,69.97000122070312
+2024-08-21,70.73999786376953,69.55000305175781
+2024-08-22,71.2699966430664,69.79000091552734
+2024-08-23,74.1500015258789,71.01000213623047
+2024-08-26,74.91000366210938,73.19999694824219
+2024-08-27,74.44999694824219,73.05999755859375
+2024-08-28,74.5199966430664,73.72000122070312
+2024-08-29,74.87999725341797,73.5
+2024-08-30,75.7300033569336,74.6500015258789
+2024-09-03,75.2300033569336,73.72000122070312
+2024-09-04,75.47000122070312,73.95999908447266
+2024-09-05,75.72000122070312,74.5199966430664
+2024-09-06,75.18000030517578,73.87000274658203
+2024-09-09,74.62999725341797,73.47000122070312
+2024-09-10,74.73999786376953,73.06999969482422
+2024-09-11,76.37000274658203,73.2300033569336
+2024-09-12,79.0999984741211,76.31999969482422
+2024-09-13,80.58000183105469,79.18000030517578
+2024-09-16,81.73999786376953,79.30999755859375
+2024-09-17,82.41999816894531,80.12999725341797
+2024-09-18,83.37999725341797,80.4000015258789
+2024-09-19,83.8499984741211,81.77999877929688
+2024-09-20,82.08999633789062,80.80000305175781
+2024-09-23,82.20999908447266,81.11000061035156
+2024-09-24,82.98999786376953,81.69000244140625
+2024-09-25,82.91999816894531,80.30000305175781
+2024-09-26,81.83999633789062,79.8499984741211
+2024-09-27,81.45999908447266,79.9000015258789
+2024-09-30,80.83000183105469,79.30999755859375
+",
+US,technical,"On February 03, 2025, what is the Chaikin Volatility value for American International Group? (Standard parameters: (10, 10); Require 50 bars to warm up; EMA uses the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0937,easy,volatility,HL_EMA_t = EMA_n(H - L); ChaikinVol_t = HL_EMA_t / HL_EMA_{t-m} - 1,"date,high,low
+2024-11-18,76.54000091552734,75.41999816894531
+2024-11-19,75.68000030517578,74.77999877929688
+2024-11-20,75.6500015258789,74.54000091552734
+2024-11-21,76.23999786376953,74.52999877929688
+2024-11-22,76.91999816894531,75.62999725341797
+2024-11-25,77.2699966430664,75.79000091552734
+2024-11-26,76.37999725341797,75.4000015258789
+2024-11-27,77.58999633789062,76.4000015258789
+2024-11-29,77.70999908447266,76.83999633789062
+2024-12-02,77.20999908447266,75.94999694824219
+2024-12-03,76.4000015258789,75.08000183105469
+2024-12-04,76.0,74.80000305175781
+2024-12-05,76.91999816894531,75.87999725341797
+2024-12-06,76.44000244140625,74.63999938964844
+2024-12-09,76.16999816894531,73.93000030517578
+2024-12-10,74.26000213623047,72.7300033569336
+2024-12-11,73.69000244140625,72.54000091552734
+2024-12-12,74.16000366210938,72.37000274658203
+2024-12-13,73.51000213623047,72.45999908447266
+2024-12-16,73.05000305175781,71.97000122070312
+2024-12-17,71.7699966430664,70.91999816894531
+2024-12-18,71.6500015258789,69.97000122070312
+2024-12-19,71.95999908447266,70.51000213623047
+2024-12-20,73.43000030517578,70.6500015258789
+2024-12-23,72.56999969482422,71.94000244140625
+2024-12-24,73.13999938964844,72.25
+2024-12-26,73.55000305175781,72.3499984741211
+2024-12-27,73.7699966430664,72.62000274658203
+2024-12-30,73.0,71.97000122070312
+2024-12-31,73.0999984741211,72.55000305175781
+2025-01-02,73.44999694824219,72.58000183105469
+2025-01-03,73.30000305175781,72.45999908447266
+2025-01-06,73.94999694824219,72.30999755859375
+2025-01-07,73.44000244140625,72.0999984741211
+2025-01-08,71.86000061035156,69.5
+2025-01-10,70.72000122070312,69.23999786376953
+2025-01-13,70.87999725341797,69.97000122070312
+2025-01-14,72.69000244140625,70.63999938964844
+2025-01-15,74.01000213623047,72.73999786376953
+2025-01-16,74.73999786376953,72.93000030517578
+2025-01-17,75.69999694824219,74.66000366210938
+2025-01-21,75.93000030517578,75.11000061035156
+2025-01-22,75.79000091552734,74.69999694824219
+2025-01-23,75.20999908447266,74.55999755859375
+2025-01-24,74.80999755859375,73.36000061035156
+2025-01-27,76.13999938964844,73.9000015258789
+2025-01-28,76.93000030517578,75.04000091552734
+2025-01-29,76.56999969482422,75.02999877929688
+2025-01-30,76.01000213623047,75.0999984741211
+2025-01-31,75.36000061035156,73.4000015258789
+2025-02-03,73.48999786376953,71.73999786376953
+",
+US,technical,"What was Prologis's Chaikin Volatility on June 26, 2020? (Standard parameters: (10, 10); Require 50 bars to warm up; EMA uses the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0374,easy,volatility,HL_EMA_t = EMA_n(H - L); ChaikinVol_t = HL_EMA_t / HL_EMA_{t-m} - 1,"date,high,low
+2020-04-16,88.43000030517578,85.80000305175781
+2020-04-17,90.9499969482422,88.23999786376953
+2020-04-20,89.47000122070312,87.87999725341797
+2020-04-21,89.63999938964844,83.70999908447266
+2020-04-22,90.77999877929688,87.66999816894531
+2020-04-23,88.95999908447266,86.62999725341797
+2020-04-24,89.52999877929688,86.75
+2020-04-27,92.68000030517578,89.7300033569336
+2020-04-28,94.18000030517578,89.25
+2020-04-29,92.0,89.98999786376953
+2020-04-30,89.56999969482422,86.87999725341797
+2020-05-01,88.62999725341797,86.08999633789062
+2020-05-04,87.30999755859375,85.25
+2020-05-05,88.93000030517578,87.30999755859375
+2020-05-06,88.9800033569336,86.87000274658203
+2020-05-07,88.91999816894531,87.33999633789062
+2020-05-08,90.3000030517578,88.62999725341797
+2020-05-11,90.2300033569336,88.29000091552734
+2020-05-12,89.08999633789062,84.20999908447266
+2020-05-13,84.72000122070312,82.55999755859375
+2020-05-14,84.08000183105469,80.12000274658203
+2020-05-15,83.9800033569336,82.0
+2020-05-18,87.73999786376953,85.08000183105469
+2020-05-19,87.08999633789062,84.52999877929688
+2020-05-20,87.30000305175781,85.75
+2020-05-21,87.47000122070312,85.94999694824219
+2020-05-22,87.66000366210938,85.93000030517578
+2020-05-26,90.6999969482422,88.81999969482422
+2020-05-27,92.0,89.4800033569336
+2020-05-28,93.33999633789062,91.23999786376952
+2020-05-29,92.66000366210938,91.0199966430664
+2020-06-01,94.55999755859376,91.54000091552734
+2020-06-02,95.5500030517578,93.43000030517578
+2020-06-03,97.72000122070312,95.5
+2020-06-04,96.8000030517578,92.4800033569336
+2020-06-05,97.41999816894533,95.37999725341795
+2020-06-08,97.97000122070312,95.33999633789062
+2020-06-09,98.20999908447266,95.7300033569336
+2020-06-10,97.5500030517578,95.55999755859376
+2020-06-11,94.16000366210938,90.8000030517578
+2020-06-12,95.12000274658205,91.33000183105467
+2020-06-15,95.31999969482422,90.87000274658205
+2020-06-16,98.30999755859376,95.4499969482422
+2020-06-17,97.98999786376952,95.86000061035156
+2020-06-18,95.88999938964844,94.5500030517578
+2020-06-19,96.68000030517578,91.6500015258789
+2020-06-22,92.63999938964844,89.91999816894531
+2020-06-23,93.83000183105467,91.26000213623048
+2020-06-24,91.58000183105467,87.93000030517578
+2020-06-25,91.56999969482422,88.83000183105469
+2020-06-26,91.7300033569336,89.16000366210938
+",
+US,technical,"For Chaikin Volatility, what is the value of APA Corporation on June 03, 2021? (Standard parameters: (10, 10); Require 50 bars to warm up; EMA uses the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-0.1517,easy,volatility,HL_EMA_t = EMA_n(H - L); ChaikinVol_t = HL_EMA_t / HL_EMA_{t-m} - 1,"date,high,low
+2021-03-23,18.96999931335449,17.899999618530273
+2021-03-24,19.229999542236328,18.540000915527344
+2021-03-25,18.420000076293945,17.450000762939453
+2021-03-26,19.01000022888184,18.0
+2021-03-29,18.56999969482422,17.649999618530273
+2021-03-30,17.979999542236328,17.100000381469727
+2021-03-31,18.06999969482422,17.56999969482422
+2021-04-01,18.920000076293945,17.940000534057617
+2021-04-05,18.809999465942383,17.3700008392334
+2021-04-06,18.3799991607666,17.719999313354492
+2021-04-07,18.190000534057617,17.729999542236328
+2021-04-08,17.860000610351562,17.219999313354492
+2021-04-09,17.68000030517578,17.139999389648438
+2021-04-12,17.809999465942383,17.100000381469727
+2021-04-13,17.59000015258789,17.170000076293945
+2021-04-14,18.68000030517578,17.489999771118164
+2021-04-15,18.15999984741211,17.739999771118164
+2021-04-16,18.270000457763672,17.59000015258789
+2021-04-19,18.38999938964844,17.780000686645508
+2021-04-20,18.040000915527344,16.760000228881836
+2021-04-21,17.299999237060547,16.270000457763672
+2021-04-22,17.719999313354492,16.959999084472656
+2021-04-23,18.209999084472656,17.399999618530273
+2021-04-26,18.850000381469727,18.06999969482422
+2021-04-27,19.149999618530277,18.6200008392334
+2021-04-28,20.65999984741211,19.209999084472656
+2021-04-29,21.25,20.31999969482422
+2021-04-30,20.71999931335449,19.739999771118164
+2021-05-03,20.549999237060547,20.0
+2021-05-04,20.86000061035156,19.86000061035156
+2021-05-05,21.489999771118164,20.290000915527344
+2021-05-06,21.51000022888184,20.34000015258789
+2021-05-07,21.649999618530277,20.540000915527344
+2021-05-10,22.479999542236328,21.81999969482422
+2021-05-11,21.540000915527344,20.670000076293945
+2021-05-12,22.239999771118164,21.049999237060547
+2021-05-13,21.21999931335449,19.950000762939453
+2021-05-14,21.71999931335449,20.75
+2021-05-17,22.200000762939453,21.25
+2021-05-18,22.40999984741211,21.549999237060547
+2021-05-19,21.200000762939453,20.3799991607666
+2021-05-20,20.81999969482422,20.25
+2021-05-21,21.18000030517578,20.739999771118164
+2021-05-24,21.26000022888184,20.63999938964844
+2021-05-25,20.950000762939453,19.8700008392334
+2021-05-26,20.51000022888184,19.81999969482422
+2021-05-27,20.959999084472656,20.459999084472656
+2021-05-28,21.049999237060547,20.6200008392334
+2021-06-01,23.059999465942383,21.729999542236328
+2021-06-02,23.86000061035156,22.75
+2021-06-03,23.520000457763672,22.959999084472656
+",
+US,technical,"Calculate the Chaikin Volatility value for International Flavors & Fragrances on August 18, 2023. (Standard parameters: (10, 10); Require 50 bars to warm up; EMA uses the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-0.1713,easy,volatility,HL_EMA_t = EMA_n(H - L); ChaikinVol_t = HL_EMA_t / HL_EMA_{t-m} - 1,"date,high,low
+2023-06-07,81.98999786376953,80.37000274658203
+2023-06-08,81.91999816894531,79.7300033569336
+2023-06-09,78.63999938964844,76.68000030517578
+2023-06-12,79.45999908447266,77.66000366210938
+2023-06-13,79.73999786376953,78.05000305175781
+2023-06-14,80.56999969482422,77.93000030517578
+2023-06-15,79.69000244140625,77.62999725341797
+2023-06-16,80.93000030517578,78.95999908447266
+2023-06-20,80.75,78.70999908447266
+2023-06-21,79.41999816894531,77.69000244140625
+2023-06-22,77.80000305175781,76.44000244140625
+2023-06-23,76.9000015258789,75.18000030517578
+2023-06-26,76.87000274658203,75.19999694824219
+2023-06-27,77.36000061035156,76.30000305175781
+2023-06-28,76.98999786376953,75.31999969482422
+2023-06-29,77.91999816894531,76.06999969482422
+2023-06-30,79.76000213623047,77.83000183105469
+2023-07-03,80.45999908447266,79.16000366210938
+2023-07-05,79.80000305175781,78.12000274658203
+2023-07-06,78.26000213623047,76.83000183105469
+2023-07-07,79.8499984741211,78.12999725341797
+2023-07-10,80.29000091552734,78.36000061035156
+2023-07-11,80.54000091552734,78.66000366210938
+2023-07-12,82.2699966430664,81.37000274658203
+2023-07-13,82.05999755859375,80.5999984741211
+2023-07-14,81.73999786376953,79.23999786376953
+2023-07-17,80.51000213623047,78.63999938964844
+2023-07-18,82.3499984741211,79.4000015258789
+2023-07-19,84.36000061035156,82.87000274658203
+2023-07-20,83.95999908447266,82.5999984741211
+2023-07-21,84.41999816894531,81.3499984741211
+2023-07-24,85.47000122070312,84.0
+2023-07-25,87.56999969482422,84.80000305175781
+2023-07-26,88.69000244140625,86.5199966430664
+2023-07-27,87.75,83.83000183105469
+2023-07-28,85.8499984741211,84.6500015258789
+2023-07-31,86.66000366210938,83.86000061035156
+2023-08-01,84.7699966430664,83.66999816894531
+2023-08-02,83.3499984741211,82.18000030517578
+2023-08-03,82.38999938964844,80.1500015258789
+2023-08-04,81.76000213623047,80.41999816894531
+2023-08-07,80.62999725341797,79.69000244140625
+2023-08-08,67.52999877929688,62.27999877929688
+2023-08-09,65.02999877929688,62.79999923706055
+2023-08-10,64.97000122070312,63.22999954223633
+2023-08-11,64.37000274658203,63.0099983215332
+2023-08-14,64.98999786376953,63.630001068115234
+2023-08-15,64.91000366210938,63.88999938964844
+2023-08-16,64.37999725341797,63.29999923706055
+2023-08-17,63.83000183105469,62.790000915527344
+2023-08-18,63.709999084472656,62.11000061035156
+",
+US,technical,"What is the value of On-Balance Volume for Southern Company on October 17, 2023? (Requires 60 bars to warm up) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-21171100.0,easy,volume,OBV_t = OBV_{t-1} + sign(C_t - C_{t-1}) * V_t = \sum_{i=1}^{t} sign(C_i - C_{i-1}) * V_i,"date,close,volume
+2023-07-24,72.94999694824219,3446600
+2023-07-25,72.61000061035156,3997200
+2023-07-26,73.08999633789062,3005600
+2023-07-27,72.86000061035156,5379900
+2023-07-28,72.3499984741211,5362800
+2023-07-31,72.33999633789062,6777500
+2023-08-01,71.27999877929688,3892700
+2023-08-02,70.97000122070312,3746600
+2023-08-03,68.62000274658203,5397400
+2023-08-04,67.83999633789062,4105500
+2023-08-07,68.0199966430664,3197200
+2023-08-08,68.80999755859375,3567200
+2023-08-09,69.19000244140625,3729200
+2023-08-10,69.41000366210938,2583800
+2023-08-11,69.5,3230300
+2023-08-14,68.83000183105469,2773200
+2023-08-15,67.77999877929688,3450200
+2023-08-16,68.11000061035156,2246900
+2023-08-17,68.25,2620500
+2023-08-18,67.80999755859375,2682700
+2023-08-21,67.61000061035156,2308900
+2023-08-22,67.7300033569336,2060700
+2023-08-23,67.55000305175781,2655000
+2023-08-24,67.43000030517578,2414700
+2023-08-25,68.08999633789062,2227400
+2023-08-28,68.12999725341797,2380400
+2023-08-29,68.56999969482422,2535700
+2023-08-30,68.62000274658203,3583400
+2023-08-31,67.7300033569336,4063800
+2023-09-01,67.22000122070312,3505400
+2023-09-05,66.30000305175781,3197800
+2023-09-06,66.25,5730300
+2023-09-07,67.11000061035156,3728600
+2023-09-08,67.93000030517578,4412100
+2023-09-11,68.12999725341797,2838600
+2023-09-12,68.5999984741211,3754600
+2023-09-13,69.5,3632100
+2023-09-14,70.9000015258789,3698700
+2023-09-15,71.08999633789062,7353100
+2023-09-18,70.94999694824219,3686800
+2023-09-19,70.91000366210938,3961500
+2023-09-20,71.19999694824219,4072900
+2023-09-21,69.9000015258789,3982700
+2023-09-22,69.37000274658203,3528500
+2023-09-25,69.29000091552734,3038000
+2023-09-26,67.11000061035156,3948400
+2023-09-27,66.13999938964844,4712500
+2023-09-28,65.06999969482422,5083500
+2023-09-29,64.72000122070312,4928500
+2023-10-02,62.709999084472656,7772700
+2023-10-03,64.02999877929688,8589500
+2023-10-04,64.62000274658203,5147200
+2023-10-05,64.58999633789062,5269100
+2023-10-06,64.97000122070312,5158400
+2023-10-09,65.91000366210938,3845600
+2023-10-10,66.44000244140625,4253000
+2023-10-11,67.0999984741211,3908100
+2023-10-12,65.69999694824219,4192400
+2023-10-13,66.55000305175781,3368600
+2023-10-16,67.5,4242000
+2023-10-17,67.11000061035156,4596300
+",
+US,technical,"On April 28, 2023, what is the On-Balance Volume value for Honeywell? (Requires 60 bars to warm up) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",10796524.0,easy,volume,OBV_t = OBV_{t-1} + sign(C_t - C_{t-1}) * V_t = \sum_{i=1}^{t} sign(C_i - C_{i-1}) * V_i,"date,close,volume
+2023-02-01,194.83506774902344,5721124
+2023-02-02,195.4571228027344,7621694
+2023-02-03,191.0367584228516,4729620
+2023-02-06,192.30914306640625,3028306
+2023-02-07,193.65692138671875,3127616
+2023-02-08,190.59378051757807,3779494
+2023-02-09,187.7662506103516,3197111
+2023-02-10,188.94439697265625,3067033
+2023-02-13,191.6776580810547,3154565
+2023-02-14,189.4439239501953,3182363
+2023-02-15,190.11309814453125,2686664
+2023-02-16,187.8982086181641,2922949
+2023-02-17,189.8397674560547,3024274
+2023-02-21,185.44769287109372,3003585
+2023-02-22,184.25070190429688,3144061
+2023-02-23,183.80772399902344,2595843
+2023-02-24,180.99905395507807,3507136
+2023-02-27,181.38548278808597,3568249
+2023-02-28,180.47125244140625,3299816
+2023-03-01,181.79075622558597,3428834
+2023-03-02,183.2704925537109,4513812
+2023-03-03,185.50424194335935,3306607
+2023-03-06,185.7115936279297,2887830
+2023-03-07,184.37322998046875,2950641
+2023-03-08,184.32611083984372,2190859
+2023-03-09,181.79075622558597,3383105
+2023-03-10,182.2148895263672,3890793
+2023-03-13,181.99810791015625,3420240
+2023-03-14,181.87559509277344,5149245
+2023-03-15,177.30442810058594,4165804
+2023-03-16,178.2657928466797,4087184
+2023-03-17,174.02450561523438,7834106
+2023-03-20,178.96324157714844,3014089
+2023-03-21,180.16964721679688,3325068
+2023-03-22,176.39962768554688,2491759
+2023-03-23,176.1734161376953,2504066
+2023-03-24,177.34213256835938,2474570
+2023-03-27,177.18190002441406,2263219
+2023-03-28,177.1159210205078,2195952
+2023-03-29,178.19981384277344,2847936
+2023-03-30,178.24693298339844,2121363
+2023-03-31,180.1319580078125,2867459
+2023-04-03,182.1677703857422,3048890
+2023-04-04,179.96229553222656,2651545
+2023-04-05,178.5391082763672,3214618
+2023-04-06,179.50990295410156,2952020
+2023-04-10,180.6597595214844,2695152
+2023-04-11,181.1404266357422,2584172
+2023-04-12,182.12063598632807,3879865
+2023-04-13,184.6371307373047,3565597
+2023-04-14,185.2497711181641,2083698
+2023-04-17,186.4844512939453,1785345
+2023-04-18,185.60791015625,2546400
+2023-04-19,186.43731689453125,1977810
+2023-04-20,185.43826293945312,2065873
+2023-04-21,184.80679321289065,2090913
+2023-04-24,185.46653747558597,1703542
+2023-04-25,184.6936798095703,2381202
+2023-04-26,179.9246063232422,3797743
+2023-04-27,187.1913299560547,4098006
+2023-04-28,188.35061645507807,3037749
+",
+US,technical,"What was IDEX Corporation's On-Balance Volume on September 30, 2022? (Requires 60 bars to warm up) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-157400.0,easy,volume,OBV_t = OBV_{t-1} + sign(C_t - C_{t-1}) * V_t = \sum_{i=1}^{t} sign(C_i - C_{i-1}) * V_i,"date,close,volume
+2022-07-07,187.3600006103516,517600
+2022-07-08,185.69000244140625,389700
+2022-07-11,186.27999877929688,294500
+2022-07-12,182.2700042724609,327900
+2022-07-13,181.4199981689453,337300
+2022-07-14,181.3600006103516,326600
+2022-07-15,186.25999450683597,412100
+2022-07-18,182.75999450683597,317400
+2022-07-19,189.38999938964844,385300
+2022-07-20,189.3000030517578,493000
+2022-07-21,192.63999938964844,458500
+2022-07-22,192.7700042724609,343800
+2022-07-25,192.8699951171875,373200
+2022-07-26,194.6100006103516,538400
+2022-07-27,199.72000122070312,573500
+2022-07-28,206.0800018310547,421200
+2022-07-29,208.75,470900
+2022-08-01,208.3000030517578,362400
+2022-08-02,206.6199951171875,462900
+2022-08-03,209.8500061035156,325300
+2022-08-04,210.92999267578125,282200
+2022-08-05,211.92999267578125,438300
+2022-08-08,211.1300048828125,281400
+2022-08-09,209.4600067138672,271100
+2022-08-10,213.72000122070312,366200
+2022-08-11,214.0200042724609,251100
+2022-08-12,215.1999969482422,381100
+2022-08-15,216.1199951171875,452500
+2022-08-16,217.41000366210935,358100
+2022-08-17,215.8999938964844,230100
+2022-08-18,217.6300048828125,278800
+2022-08-19,215.5399932861328,966400
+2022-08-22,211.00999450683597,378500
+2022-08-23,211.42999267578125,258100
+2022-08-24,211.42999267578125,272400
+2022-08-25,213.4600067138672,174900
+2022-08-26,205.4600067138672,202300
+2022-08-29,204.8000030517578,204500
+2022-08-30,202.58999633789065,189600
+2022-08-31,201.2100067138672,455300
+2022-09-01,202.6100006103516,298100
+2022-09-02,200.0200042724609,189600
+2022-09-06,200.92999267578125,294200
+2022-09-07,207.2400054931641,474300
+2022-09-08,208.58999633789065,346800
+2022-09-09,210.0399932861328,316000
+2022-09-12,211.1699981689453,380700
+2022-09-13,207.97000122070312,555300
+2022-09-14,208.0399932861328,686400
+2022-09-15,205.83999633789065,476900
+2022-09-16,204.92999267578125,1066800
+2022-09-19,209.38999938964844,560700
+2022-09-20,206.22000122070312,481800
+2022-09-21,204.32000732421875,461800
+2022-09-22,201.75999450683597,410300
+2022-09-23,199.30999755859372,544000
+2022-09-26,199.6199951171875,654700
+2022-09-27,198.52999877929688,677100
+2022-09-28,202.94000244140625,427500
+2022-09-29,200.25,578000
+2022-09-30,199.8500061035156,796800
+",
+US,technical,"For On-Balance Volume, what is the value of Altria on October 02, 2025? (Requires 60 bars to warm up) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",161680800.0,easy,volume,OBV_t = OBV_{t-1} + sign(C_t - C_{t-1}) * V_t = \sum_{i=1}^{t} sign(C_i - C_{i-1}) * V_i,"date,close,volume
+2025-07-09,57.75,22224800
+2025-07-10,58.54999923706055,14342400
+2025-07-11,57.79999923706055,9431100
+2025-07-14,58.130001068115234,8320700
+2025-07-15,58.47999954223633,7739800
+2025-07-16,58.86000061035156,7054300
+2025-07-17,57.97999954223633,12501400
+2025-07-18,58.02000045776367,5688800
+2025-07-21,58.91999816894531,6946800
+2025-07-22,59.43999862670898,9649500
+2025-07-23,59.77000045776367,7172200
+2025-07-24,59.61000061035156,6933900
+2025-07-25,59.84000015258789,6368800
+2025-07-28,58.720001220703125,7419900
+2025-07-29,59.36000061035156,11825600
+2025-07-30,61.5,20487500
+2025-07-31,61.93999862670898,10623100
+2025-08-01,61.77999877929688,9689400
+2025-08-04,61.93999862670898,6384500
+2025-08-05,62.52000045776367,5889500
+2025-08-06,63.150001525878906,6482800
+2025-08-07,63.54999923706055,5124400
+2025-08-08,64.19000244140625,5434900
+2025-08-11,65.66999816894531,10650500
+2025-08-12,66.01000213623047,8848600
+2025-08-13,65.5,7508200
+2025-08-14,65.55000305175781,10791100
+2025-08-15,65.81999969482422,10137000
+2025-08-18,65.98999786376953,7371700
+2025-08-19,66.55999755859375,6482700
+2025-08-20,67.58000183105469,8893100
+2025-08-21,67.68000030517578,5963200
+2025-08-22,67.66999816894531,9603300
+2025-08-25,67.05000305175781,5706800
+2025-08-26,66.44999694824219,8535600
+2025-08-27,66.41000366210938,4973500
+2025-08-28,66.41999816894531,5807700
+2025-08-29,67.20999908447266,5930600
+2025-09-02,67.12999725341797,6919700
+2025-09-03,66.62999725341797,6722300
+2025-09-04,66.58999633789062,6388600
+2025-09-05,66.55000305175781,5935900
+2025-09-08,65.7699966430664,10316600
+2025-09-09,66.19000244140625,6918500
+2025-09-10,66.2300033569336,6677300
+2025-09-11,66.36000061035156,10022800
+2025-09-12,66.6500015258789,7975900
+2025-09-15,64.88999938964844,9129700
+2025-09-16,64.80999755859375,9536300
+2025-09-17,65.51000213623047,7261100
+2025-09-18,63.93999862670898,10329700
+2025-09-19,64.88999938964844,22705100
+2025-09-22,63.790000915527344,7628300
+2025-09-23,64.87000274658203,7417400
+2025-09-24,65.12999725341797,6838200
+2025-09-25,65.19000244140625,5747900
+2025-09-26,65.70999908447266,5513800
+2025-09-29,65.66999816894531,6867400
+2025-09-30,66.05999755859375,7797300
+2025-10-01,66.29000091552734,8514600
+2025-10-02,65.75,6043300
+",
+US,technical,"Calculate the On-Balance Volume value for Chipotle Mexican Grill on February 09, 2024. (Requires 60 bars to warm up) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",131930000.0,easy,volume,OBV_t = OBV_{t-1} + sign(C_t - C_{t-1}) * V_t = \sum_{i=1}^{t} sign(C_i - C_{i-1}) * V_i,"date,close,volume
+2023-11-13,43.00859832763672,12785000
+2023-11-14,43.32040023803711,11470000
+2023-11-15,43.1161994934082,9945000
+2023-11-16,43.46200180053711,12810000
+2023-11-17,43.24440002441406,6980000
+2023-11-20,43.73379898071289,10130000
+2023-11-21,43.95280075073242,9120000
+2023-11-22,44.37860107421875,8895000
+2023-11-24,44.39339828491211,3370000
+2023-11-27,44.18379974365234,10390000
+2023-11-28,44.133399963378906,7205000
+2023-11-29,43.78219985961914,8960000
+2023-11-30,44.04499816894531,12955000
+2023-12-01,44.67660140991211,10795000
+2023-12-04,44.38399887084961,8605000
+2023-12-05,44.525001525878906,5745000
+2023-12-06,44.20100021362305,8330000
+2023-12-07,44.525001525878906,6380000
+2023-12-08,44.85900115966797,8170000
+2023-12-11,45.90959930419922,12625000
+2023-12-12,46.40779876708984,7140000
+2023-12-13,46.79999923706055,9140000
+2023-12-14,45.51399993896485,13380000
+2023-12-15,45.42940139770508,12835000
+2023-12-18,45.94060134887695,10065000
+2023-12-19,46.54059982299805,8570000
+2023-12-20,46.27740097045898,7405000
+2023-12-21,46.141998291015625,6515000
+2023-12-22,46.08700180053711,5230000
+2023-12-26,46.39039993286133,5330000
+2023-12-27,46.14879989624024,7290000
+2023-12-28,45.56760025024414,7515000
+2023-12-29,45.739200592041016,9245000
+2024-01-02,44.89500045776367,9995000
+2024-01-03,44.67300033569336,8490000
+2024-01-04,44.409400939941406,8435000
+2024-01-05,44.25600051879883,9075000
+2024-01-08,44.72779846191406,16410000
+2024-01-09,44.63999938964844,10690000
+2024-01-10,44.900001525878906,10420000
+2024-01-11,45.53139877319336,9120000
+2024-01-12,45.4379997253418,6270000
+2024-01-16,45.79940032958984,7975000
+2024-01-17,46.20880126953125,9140000
+2024-01-18,46.45640182495117,7875000
+2024-01-19,46.69200134277344,15070000
+2024-01-22,46.5,10170000
+2024-01-23,46.4364013671875,7980000
+2024-01-24,46.69599914550781,8090000
+2024-01-25,46.23540115356445,8520000
+2024-01-26,46.525001525878906,7255000
+2024-01-29,48.090599060058594,16330000
+2024-01-30,48.38560104370117,9290000
+2024-01-31,48.17539978027344,10775000
+2024-02-01,48.84040069580078,13430000
+2024-02-02,49.645599365234375,10680000
+2024-02-05,49.41699981689453,18925000
+2024-02-06,49.75479888916016,22535000
+2024-02-07,53.33980178833008,45060000
+2024-02-08,52.40959930419922,19345000
+2024-02-09,52.766998291015625,10550000
+",
+US,technical,"What is the value of Force Index for Stanley Black & Decker on October 29, 2021? Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-11850798.5199,easy,volume,ForceIndex_t = (C_t - C_{t-1}) * V_t,"date,close,volume
+2021-10-28,185.0800018310547,2121000
+2021-10-29,179.72999572753906,2215100
+",
+US,technical,"On November 04, 2021, what is the Force Index value for Prologis? Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",351737.9517,easy,volume,ForceIndex_t = (C_t - C_{t-1}) * V_t,"date,close,volume
+2021-11-03,147.64999389648438,1739300
+2021-11-04,147.8699951171875,1598800
+",
+US,technical,"What was Vici Properties's Force Index on October 08, 2024? Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-258156.0608,easy,volume,ForceIndex_t = (C_t - C_{t-1}) * V_t,"date,close,volume
+2024-10-07,32.41999816894531,2483600
+2024-10-08,32.31999969482422,2581600
+",
+US,technical,"For Force Index, what is the value of American Tower on November 17, 2020? Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",121873.0408,easy,volume,ForceIndex_t = (C_t - C_{t-1}) * V_t,"date,close,volume
+2020-11-16,239.08999633789065,1433300
+2020-11-17,239.17999267578125,1354200
+",
+US,technical,"Calculate the Force Index value for Bank of America on December 18, 2025. Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-25361363.0653,easy,volume,ForceIndex_t = (C_t - C_{t-1}) * V_t,"date,close,volume
+2025-12-17,54.54999923706055,35304100
+2025-12-18,54.2599983215332,87452700
+",
+US,technical,"What is the value of Accumulation/Distribution Line for Lennox International on February 23, 2022? (Requires 60 bars to warm up) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-2327833.4886,easy,volume,MFM_t = ((C_t - L_t) - (H_t - C_t)) / (H_t - L_t); MFV_t = MFM_t * V_t; ADL_t = ADL_{t-1} + MFV_t = \sum_{i=1}^{t} MFV_i,"date,high,low,close,volume
+2021-11-26,322.8900146484375,315.17999267578125,317.4599914550781,161700
+2021-11-29,322.82000732421875,314.70001220703125,322.1199951171875,218100
+2021-11-30,328.1600036621094,309.0,309.0199890136719,582500
+2021-12-01,316.0799865722656,301.54998779296875,301.9599914550781,273800
+2021-12-02,313.7099914550781,301.25,311.6199951171875,170200
+2021-12-03,317.04998779296875,309.1700134277344,316.0400085449219,230300
+2021-12-06,329.4800109863281,320.9200134277344,327.82000732421875,420700
+2021-12-07,334.0299987792969,326.54998779296875,327.79998779296875,317400
+2021-12-08,333.92999267578125,326.4599914550781,332.70001220703125,349900
+2021-12-09,334.7799987792969,327.7300109863281,327.9100036621094,285100
+2021-12-10,331.8999938964844,325.3999938964844,331.739990234375,234800
+2021-12-13,334.0,328.92999267578125,331.29998779296875,253500
+2021-12-14,331.5899963378906,319.07000732421875,324.1000061035156,235100
+2021-12-15,326.989990234375,312.7900085449219,322.260009765625,352200
+2021-12-16,326.3900146484375,320.25,324.92999267578125,259800
+2021-12-17,325.1499938964844,311.8599853515625,312.4800109863281,488800
+2021-12-20,311.20001220703125,303.1099853515625,307.9599914550781,245400
+2021-12-21,314.1400146484375,306.8900146484375,313.95001220703125,157700
+2021-12-22,315.9800109863281,311.25,313.5199890136719,110700
+2021-12-23,317.8099975585937,313.6000061035156,316.1099853515625,148700
+2021-12-27,321.0299987792969,313.6400146484375,321.0299987792969,96600
+2021-12-28,325.6000061035156,321.1000061035156,322.8500061035156,120200
+2021-12-29,327.0899963378906,322.510009765625,326.4599914550781,86900
+2021-12-30,327.32000732421875,322.6600036621094,323.1099853515625,96400
+2021-12-31,326.1000061035156,321.45001220703125,324.3599853515625,81200
+2022-01-03,324.0400085449219,311.1300048828125,314.1199951171875,335800
+2022-01-04,323.8900146484375,313.5400085449219,315.1700134277344,208700
+2022-01-05,318.4100036621094,308.7099914550781,308.760009765625,193800
+2022-01-06,312.42999267578125,307.82000732421875,309.0400085449219,208500
+2022-01-07,312.9599914550781,304.3500061035156,304.9800109863281,247600
+2022-01-10,305.9800109863281,297.0,305.79998779296875,186000
+2022-01-11,308.6499938964844,303.2200012207031,308.5799865722656,216100
+2022-01-12,311.8800048828125,304.8800048828125,305.8800048828125,163200
+2022-01-13,309.2799987792969,299.2699890136719,300.95001220703125,223300
+2022-01-14,297.7200012207031,289.8299865722656,291.4200134277344,219700
+2022-01-18,294.2699890136719,283.0899963378906,292.8399963378906,269600
+2022-01-19,297.3099975585937,290.5,290.7699890136719,220800
+2022-01-20,295.5299987792969,283.0599975585937,283.8299865722656,233500
+2022-01-21,287.9800109863281,280.1400146484375,280.4599914550781,167400
+2022-01-24,289.19000244140625,273.9700012207031,288.6000061035156,275800
+2022-01-25,286.3399963378906,276.2099914550781,283.79998779296875,339400
+2022-01-26,288.8399963378906,271.5199890136719,275.1300048828125,265000
+2022-01-27,279.7200012207031,269.45001220703125,272.45001220703125,244700
+2022-01-28,279.5299987792969,269.0299987792969,279.2300109863281,256300
+2022-01-31,283.79998779296875,277.70001220703125,283.6199951171875,379700
+2022-02-01,287.32000732421875,271.3399963378906,277.2699890136719,500800
+2022-02-02,284.1400146484375,270.1199951171875,272.1499938964844,470500
+2022-02-03,271.239990234375,265.20001220703125,268.739990234375,352500
+2022-02-04,270.5199890136719,260.489990234375,266.9800109863281,336200
+2022-02-07,271.0299987792969,264.1199951171875,268.95001220703125,338300
+2022-02-08,276.8699951171875,267.2099914550781,273.260009765625,330900
+2022-02-09,279.5,273.0400085449219,275.5199890136719,1512200
+2022-02-10,273.1700134277344,264.8900146484375,266.5799865722656,332900
+2022-02-11,269.95001220703125,261.2200012207031,263.2300109863281,248800
+2022-02-14,265.5599975585937,260.32000732421875,262.75,344200
+2022-02-15,268.239990234375,263.69000244140625,265.1499938964844,192300
+2022-02-16,265.6300048828125,260.0,261.92999267578125,296700
+2022-02-17,259.1700134277344,252.57000732421875,252.7400054931641,546700
+2022-02-18,255.27999877929688,249.2400054931641,251.97999572753903,391800
+2022-02-22,253.82000732421875,246.3300018310547,251.8699951171875,354200
+2022-02-23,253.1999969482422,248.8600006103516,249.1499938964844,461700
+",
+US,technical,"On March 30, 2020, what is the Accumulation/Distribution Line value for Hormel Foods? (Requires 60 bars to warm up) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",7805248.8163,easy,volume,MFM_t = ((C_t - L_t) - (H_t - C_t)) / (H_t - L_t); MFV_t = MFM_t * V_t; ADL_t = ADL_{t-1} + MFV_t = \sum_{i=1}^{t} MFV_i,"date,high,low,close,volume
+2020-01-02,45.34999847412109,44.040000915527344,44.310001373291016,2405700
+2020-01-03,44.56999969482422,44.0099983215332,44.25,1858700
+2020-01-06,44.650001525878906,44.220001220703125,44.27000045776367,2276200
+2020-01-07,44.66999816894531,44.130001068115234,44.540000915527344,2076400
+2020-01-08,44.77000045776367,44.5099983215332,44.59000015258789,2016700
+2020-01-09,44.7599983215332,44.29999923706055,44.4900016784668,2242900
+2020-01-10,45.25,44.33000183105469,44.900001525878906,2356600
+2020-01-13,45.90999984741211,45.0,45.900001525878906,2379100
+2020-01-14,45.84000015258789,45.040000915527344,45.45000076293945,2676200
+2020-01-15,45.84999847412109,45.29999923706055,45.29999923706055,1558900
+2020-01-16,46.150001525878906,45.29999923706055,46.02000045776367,2061100
+2020-01-17,46.70000076293945,46.0,46.29999923706055,3373300
+2020-01-21,47.060001373291016,46.33000183105469,46.95000076293945,4061300
+2020-01-22,47.369998931884766,46.43000030517578,46.56999969482422,2262100
+2020-01-23,47.22999954223633,46.369998931884766,46.9900016784668,2872300
+2020-01-24,47.22999954223633,46.75,47.22999954223633,1667200
+2020-01-27,47.4900016784668,46.709999084472656,46.81999969482422,2318900
+2020-01-28,47.18999862670898,46.68999862670898,47.04999923706055,1441700
+2020-01-29,47.52000045776367,46.91999816894531,47.31999969482422,2281300
+2020-01-30,47.97999954223633,47.09000015258789,47.880001068115234,2476400
+2020-01-31,48.0099983215332,47.13999938964844,47.2599983215332,3577500
+2020-02-03,47.77999877929688,47.29999923706055,47.43000030517578,1898200
+2020-02-04,47.97999954223633,47.540000915527344,47.54999923706055,1688700
+2020-02-05,47.84999847412109,47.36000061035156,47.38999938964844,2133800
+2020-02-06,47.5,46.5099983215332,46.88999938964844,3810000
+2020-02-07,47.2400016784668,46.61000061035156,47.09000015258789,1654500
+2020-02-10,47.34999847412109,47.0,47.33000183105469,1616000
+2020-02-11,47.72999954223633,47.16999816894531,47.47999954223633,1512300
+2020-02-12,47.84999847412109,47.369998931884766,47.7599983215332,1397100
+2020-02-13,48.47999954223633,47.5,48.45000076293945,1818100
+2020-02-14,48.86000061035156,48.400001525878906,48.58000183105469,1466600
+2020-02-18,48.52000045776367,48.119998931884766,48.2599983215332,2114700
+2020-02-19,48.72999954223633,48.2400016784668,48.43999862670898,2092200
+2020-02-20,47.09000015258789,44.91999816894531,45.52999877929688,4520300
+2020-02-21,45.4900016784668,44.72999954223633,44.77000045776367,3623500
+2020-02-24,44.810001373291016,44.06999969482422,44.56999969482422,3433800
+2020-02-25,45.16999816894531,44.61000061035156,44.720001220703125,2521200
+2020-02-26,45.34999847412109,43.90999984741211,43.93999862670898,3147900
+2020-02-27,43.93000030517578,42.52000045776367,42.52999877929688,2669700
+2020-02-28,41.88999938964844,40.13999938964844,41.59999847412109,4121100
+2020-03-02,43.209999084472656,41.7599983215332,43.18999862670898,3812000
+2020-03-03,44.33000183105469,42.619998931884766,42.9900016784668,4089300
+2020-03-04,45.04999923706055,43.41999816894531,45.04999923706055,2005400
+2020-03-05,44.5,43.400001525878906,43.79999923706055,2355600
+2020-03-06,44.13999938964844,42.68000030517578,43.95000076293945,2611400
+2020-03-09,44.119998931884766,42.0,43.40999984741211,2570200
+2020-03-10,44.34000015258789,42.0099983215332,43.7599983215332,3485800
+2020-03-11,43.06999969482422,41.90999984741211,42.27000045776367,3227100
+2020-03-12,41.41999816894531,39.0099983215332,40.08000183105469,4250500
+2020-03-13,42.45000076293945,39.79999923706055,42.400001525878906,5237200
+2020-03-16,43.25,39.310001373291016,42.630001068115234,6520100
+2020-03-17,48.630001068115234,42.91999816894531,48.52999877929688,8303900
+2020-03-18,51.52999877929688,45.54999923706055,48.27000045776367,8444500
+2020-03-19,49.29999923706055,45.560001373291016,47.220001220703125,5974200
+2020-03-20,47.720001220703125,44.59999847412109,45.119998931884766,5160100
+2020-03-23,45.29999923706055,41.86000061035156,42.310001373291016,4950000
+2020-03-24,45.13999938964844,42.459999084472656,44.84999847412109,3415500
+2020-03-25,44.369998931884766,41.70000076293945,41.93999862670898,6298400
+2020-03-26,44.97999954223633,41.84999847412109,44.84999847412109,3487300
+2020-03-27,46.22999954223633,44.11000061035156,44.959999084472656,2457500
+2020-03-30,47.25,45.72999954223633,46.77999877929688,2387000
+",
+US,technical,"What was Jacobs Solutions's Accumulation/Distribution Line on October 06, 2020? (Requires 60 bars to warm up) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3924095.6557,easy,volume,MFM_t = ((C_t - L_t) - (H_t - C_t)) / (H_t - L_t); MFV_t = MFM_t * V_t; ADL_t = ADL_{t-1} + MFV_t = \sum_{i=1}^{t} MFV_i,"date,high,low,close,volume
+2020-07-13,66.42017364501953,64.98920440673828,65.12155151367188,823188
+2020-07-14,66.17202758789062,64.1124267578125,65.37796783447266,1885026
+2020-07-15,67.58645629882812,65.85771179199219,67.13152313232422,1842833
+2020-07-16,68.99261474609375,67.1067123413086,68.33916473388672,931995
+2020-07-17,69.3482894897461,68.53768157958984,69.08360290527344,659130
+2020-07-20,68.91816711425781,68.17373657226562,68.6369400024414,562655
+2020-07-21,69.88593292236328,68.98434448242188,69.44754791259766,580668
+2020-07-22,70.10926818847656,68.94298553466797,69.80322265625,454694
+2020-07-23,70.74617004394531,69.35655975341797,70.010009765625,613915
+2020-07-24,70.216796875,69.24903106689453,69.43099975585938,682343
+2020-07-27,69.85285186767578,68.58731079101562,69.65433502197266,618025
+2020-07-28,69.89420318603516,69.00088500976562,69.24076080322266,685244
+2020-07-29,71.73875427246094,69.41445922851562,71.73048400878906,925950
+2020-07-30,71.22592163085938,70.010009765625,70.62210083007812,686211
+2020-07-31,70.9115982055664,69.10014343261719,70.59728240966797,1096415
+2020-08-03,75.64290618896484,70.59728240966797,74.85710906982422,1560538
+2020-08-04,76.51141357421875,74.55106353759766,76.3956069946289,1167623
+2020-08-05,77.04078674316406,75.91586303710938,76.19709014892578,892703
+2020-08-06,76.2798080444336,74.46007537841797,74.8322982788086,836728
+2020-08-07,75.62635803222656,74.23674774169922,75.53536987304688,667110
+2020-08-10,75.73388671875,74.8322982788086,75.36994171142578,818956
+2020-08-11,76.45350646972656,74.79920959472656,75.25414276123047,1126639
+2020-08-12,76.47005462646484,74.55106353759766,74.84883880615234,1152874
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+2020-09-21,76.61894226074219,73.33515167236328,73.85625457763672,1281871
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+2020-09-24,75.09698486328125,72.9133071899414,74.46007537841797,657921
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+2020-10-05,80.49827575683594,78.149169921875,79.71248626708984,1000181
+2020-10-06,80.88703918457031,78.51311492919922,78.80261993408203,1005500
+",
+US,technical,"For Accumulation/Distribution Line, what is the value of Fortive on February 06, 2020? (Requires 60 bars to warm up) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-5826806.3951,easy,volume,MFM_t = ((C_t - L_t) - (H_t - C_t)) / (H_t - L_t); MFV_t = MFM_t * V_t; ADL_t = ADL_{t-1} + MFV_t = \sum_{i=1}^{t} MFV_i,"date,high,low,close,volume
+2019-11-08,45.990421295166016,45.35034942626953,45.958892822265625,1364868
+2019-11-11,45.92105484008789,45.35980987548828,45.454402923583984,1913067
+2019-11-12,45.81385040283203,45.25260543823242,45.46701431274414,2499007
+2019-11-13,45.31566619873047,44.74181365966797,44.7607307434082,1992672
+2019-11-14,45.239994049072266,44.74811935424805,44.85532379150391,2271291
+2019-11-15,45.873756408691406,44.9814453125,45.17062759399414,3004549
+2019-11-18,45.14540481567383,44.74181365966797,44.86793518066406,1941452
+2019-11-19,45.15171051025391,44.60307693481445,44.836402893066406,2536590
+2019-11-20,44.84270858764648,44.199485778808594,44.20579147338867,4170245
+2019-11-21,44.98775100708008,43.98508071899414,44.72919845581055,2862782
+2019-11-22,45.050811767578125,44.3697509765625,44.58415985107422,2091307
+2019-11-25,45.22107696533203,44.47064971923828,45.07603454589844,2904011
+2019-11-26,45.53007507324219,45.132789611816406,45.4985466003418,1761943
+2019-11-27,45.68457412719727,45.24629974365234,45.63097381591797,1535655
+2019-11-29,45.63097381591797,45.36611557006836,45.51115798950195,1208353
+2019-12-02,46.02195358276367,45.24629974365234,45.26522064208984,3134265
+2019-12-03,44.94991302490234,44.33191680908203,44.84270858764648,3003597
+2019-12-04,45.80754470825195,45.01297378540039,45.03189468383789,3184850
+2019-12-05,45.83907318115234,44.9814453125,45.59313583374024,3167883
+2019-12-06,46.38140106201172,45.939971923828125,45.95258331298828,2713561
+2019-12-09,48.00837326049805,46.5390510559082,46.75345993041992,4660088
+2019-12-10,46.89849853515625,46.51382827758789,46.56427764892578,2816477
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+2019-12-20,48.73988342285156,47.75613021850586,47.76243591308594,5684809
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+2019-12-26,48.47187423706055,47.87594604492188,48.10927200317383,1317136
+2019-12-27,48.34890365600586,48.0399055480957,48.29214859008789,1238958
+2019-12-30,48.46871948242188,47.93900680541992,48.10296630859375,1025831
+2019-12-31,48.26692581176758,47.91378402709961,48.17233276367188,1372480
+2020-01-02,48.91014862060547,48.25431442260742,48.903839111328125,2573062
+2020-01-03,48.77771759033203,47.9453125,48.70204544067383,1813322
+2020-01-06,48.55133056640625,47.90747833251953,48.44980239868164,3149488
+2020-01-07,48.62006759643555,48.0399055480957,48.607452392578125,2659645
+2020-01-08,48.74618911743164,48.17863845825195,48.56331253051758,3626962
+2020-01-09,49.60382080078125,48.83447265625,49.17500305175781,4416514
+2020-01-10,49.58489990234375,48.96690368652344,49.18761444091797,3349136
+2020-01-13,49.7425537109375,49.07410430908203,49.69210433959961,3727499
+2020-01-14,50.06731796264648,49.320045471191406,49.40202331542969,3040070
+2020-01-15,49.811920166015625,48.94798278808594,49.18761444091797,1891342
+2020-01-16,49.780391693115234,48.87231063842773,49.3515739440918,1698830
+2020-01-17,49.93173599243164,49.28851318359375,49.67949295043945,2301262
+2020-01-21,49.47138977050781,48.85969924926758,49.30112457275391,2347408
+2020-01-22,49.75831985473633,48.94167709350586,48.97320938110352,2225145
+2020-01-23,49.09933090209961,48.44349670410156,48.9290657043457,1485703
+2020-01-24,49.1497802734375,48.08404922485352,48.50025177001953,1829180
+2020-01-27,47.82234573364258,47.037235260009766,47.05615234375,2216424
+2020-01-28,47.68676376342773,46.94264221191406,47.31470489501953,2892753
+2020-01-29,47.90747833251953,47.40298843383789,47.49127578735352,2214521
+2020-01-30,48.10296630859375,47.11290740966797,48.05251693725586,2550069
+2020-01-31,47.88855743408203,47.018314361572266,47.25164031982422,3178666
+2020-02-03,47.99576187133789,47.02840423583984,47.15705108642578,2566719
+2020-02-04,48.370975494384766,47.71198654174805,48.23539352416992,3322336
+2020-02-05,48.98582077026367,48.51601409912109,48.91014862060547,1847733
+2020-02-06,49.20653533935547,48.48133087158203,49.080413818359375,3138546
+",
+US,technical,"Calculate the Accumulation/Distribution Line value for Automatic Data Processing on June 12, 2020. (Requires 60 bars to warm up) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",25865962.2972,easy,volume,MFM_t = ((C_t - L_t) - (H_t - C_t)) / (H_t - L_t); MFV_t = MFM_t * V_t; ADL_t = ADL_{t-1} + MFV_t = \sum_{i=1}^{t} MFV_i,"date,high,low,close,volume
+2020-03-18,122.58999633789062,103.11000061035156,117.5999984741211,5108600
+2020-03-19,123.16999816894533,110.0,117.37000274658205,4022100
+2020-03-20,119.47000122070312,107.0999984741211,112.05999755859376,6257600
+2020-03-23,112.05999755859376,104.88999938964844,109.06999969482422,4794500
+2020-03-24,122.04000091552734,114.3000030517578,120.95999908447266,4884100
+2020-03-25,130.0,116.48999786376952,122.58999633789062,3941600
+2020-03-26,138.13999938964844,122.5999984741211,137.05999755859375,4041000
+2020-03-27,136.0,128.9199981689453,131.3800048828125,2997800
+2020-03-30,138.5399932861328,131.77000427246094,137.82000732421875,2522300
+2020-03-31,139.39999389648438,134.22000122070312,136.67999267578125,3513000
+2020-04-01,133.41000366210938,128.08999633789062,129.72000122070312,2905400
+2020-04-02,132.61000061035156,127.43000030517578,131.5500030517578,3808200
+2020-04-03,132.52999877929688,126.69000244140624,128.57000732421875,1567500
+2020-04-06,140.4499969482422,134.35000610351562,139.64999389648438,3664100
+2020-04-07,147.1699981689453,136.75,136.9600067138672,2870600
+2020-04-08,139.60000610351562,136.35000610351562,138.52999877929688,2726600
+2020-04-09,143.80999755859375,139.91000366210938,142.52000427246094,2683400
+2020-04-13,140.9199981689453,136.02000427246094,139.52999877929688,1728700
+2020-04-14,143.99000549316406,140.47000122070312,143.8699951171875,2404400
+2020-04-15,140.66000366210938,137.17999267578125,137.63999938964844,2146300
+2020-04-16,138.9499969482422,134.4199981689453,136.9199981689453,1949100
+2020-04-17,142.1199951171875,138.6999969482422,141.0800018310547,3179500
+2020-04-20,141.64999389648438,138.0,139.82000732421875,2521400
+2020-04-21,137.63999938964844,133.1999969482422,133.61000061035156,2178100
+2020-04-22,139.75,135.0399932861328,138.6999969482422,1558400
+2020-04-23,141.14999389648438,135.4499969482422,135.9199981689453,2345000
+2020-04-24,139.72999572753906,135.3800048828125,139.22999572753906,2000300
+2020-04-27,142.32000732421875,139.47000122070312,142.22000122070312,1779500
+2020-04-28,146.19000244140625,142.60000610351562,143.00999450683594,2129400
+2020-04-29,146.75999450683594,141.60000610351562,145.83999633789062,2644300
+2020-04-30,147.32000732421875,143.57000732421875,146.69000244140625,2592300
+2020-05-01,144.6999969482422,139.4600067138672,140.4199981689453,2617000
+2020-05-04,144.63999938964844,138.38999938964844,144.47999572753906,2614300
+2020-05-05,147.77000427246094,144.82000732421875,145.82000732421875,1672000
+2020-05-06,147.6300048828125,143.1300048828125,144.55999755859375,1780200
+2020-05-07,149.32000732421875,146.6699981689453,147.77000427246094,1900200
+2020-05-08,149.77999877929688,144.72000122070312,146.0,1738400
+2020-05-11,145.8000030517578,143.6999969482422,144.61000061035156,1762700
+2020-05-12,145.63999938964844,141.38999938964844,141.72999572753906,2014200
+2020-05-13,141.72999572753906,132.8000030517578,134.5800018310547,2963900
+2020-05-14,135.16000366210938,130.63999938964844,134.9499969482422,2164900
+2020-05-15,134.97999572753906,131.85000610351562,134.85000610351562,4047700
+2020-05-18,137.47999572753906,134.50999450683594,136.39999389648438,3753600
+2020-05-19,137.6199951171875,133.0500030517578,133.10000610351562,2523000
+2020-05-20,136.08999633789062,133.99000549316406,134.77999877929688,5466000
+2020-05-21,135.0500030517578,132.6999969482422,133.32000732421875,2856300
+2020-05-22,135.72000122070312,131.89999389648438,134.8699951171875,2201100
+2020-05-26,139.55999755859375,136.6999969482422,138.9199981689453,3080400
+2020-05-27,145.1300048828125,139.5399932861328,144.6699981689453,3439600
+2020-05-28,146.50999450683594,143.52000427246094,144.8000030517578,2547000
+2020-05-29,146.97999572753906,142.1699981689453,146.49000549316406,3239500
+2020-06-01,146.97999572753906,144.55999755859375,145.5500030517578,2374100
+2020-06-02,148.32000732421875,145.00999450683594,148.25,2880900
+2020-06-03,152.25,148.9600067138672,151.67999267578125,2100300
+2020-06-04,151.9499969482422,149.14999389648438,149.97000122070312,2086400
+2020-06-05,161.0500030517578,153.57000732421875,160.1300048828125,3344600
+2020-06-08,161.3000030517578,158.2899932861328,161.14999389648438,2270400
+2020-06-09,160.75,157.02000427246094,157.69000244140625,1885700
+2020-06-10,158.2100067138672,153.9499969482422,156.0399932861328,1690800
+2020-06-11,154.2100067138672,142.80999755859375,142.99000549316406,2922100
+2020-06-12,148.97999572753906,143.08999633789062,147.00999450683594,2726000
+",
+US,technical,"What is the value of Chaikin Money Flow for T-Mobile US on October 18, 2024? (Standard period: 20) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.2604,easy,volume,MFM_t = ((C_t - L_t) - (H_t - C_t)) / (H_t - L_t); MFV_t = MFM_t * V_t; CMF = \sum_{i=0}^{n-1} MFV_{t-i} / \sum_{i=0}^{n-1} V_{t-i},"date,high,low,close,volume
+2024-09-23,202.8800048828125,198.69000244140625,202.4600067138672,4545600
+2024-09-24,203.72999572753903,200.8800048828125,201.44000244140625,4411300
+2024-09-25,203.88999938964844,201.7100067138672,203.30999755859372,2666800
+2024-09-26,208.16000366210935,201.82000732421875,203.25,2629200
+2024-09-27,205.72000122070312,202.80999755859372,205.17999267578125,3158000
+2024-09-30,207.47000122070312,204.7100067138672,206.3600006103516,3243600
+2024-10-01,206.3500061035156,202.7700042724609,206.1000061035156,3702000
+2024-10-02,208.3600006103516,205.38999938964844,208.0800018310547,2245100
+2024-10-03,209.25999450683597,207.44000244140625,208.02999877929688,2902100
+2024-10-04,208.72999572753903,206.17999267578125,208.27999877929688,2654800
+2024-10-07,210.0800018310547,207.41000366210935,208.3300018310547,2651400
+2024-10-08,212.2400054931641,208.6999969482422,211.1699981689453,3310400
+2024-10-09,213.47000122070312,210.50999450683597,212.08999633789065,2243600
+2024-10-10,215.17999267578125,210.94000244140625,211.4499969482422,2601700
+2024-10-11,213.83999633789065,212.1699981689453,213.0399932861328,1778500
+2024-10-14,216.25,213.72999572753903,215.91000366210935,2655700
+2024-10-15,218.3300018310547,215.63999938964844,217.02999877929688,3382500
+2024-10-16,220.69000244140625,216.08999633789065,219.75999450683597,2730100
+2024-10-17,222.72999572753903,219.8999938964844,221.9499969482422,3177700
+2024-10-18,223.4499969482422,220.91000366210935,223.2100067138672,3334300
+",
+US,technical,"On December 24, 2025, what is the Chaikin Money Flow value for Waste Management? (Standard period: 20) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-0.1357,easy,volume,MFM_t = ((C_t - L_t) - (H_t - C_t)) / (H_t - L_t); MFV_t = MFM_t * V_t; CMF = \sum_{i=0}^{n-1} MFV_{t-i} / \sum_{i=0}^{n-1} V_{t-i},"date,high,low,close,volume
+2025-11-26,218.1300048828125,215.8300018310547,217.3500061035156,1811300
+2025-11-28,218.32000732421875,216.0,217.8699951171875,779700
+2025-12-01,219.47999572753903,215.42999267578125,215.92999267578125,2809900
+2025-12-02,216.7700042724609,213.50999450683597,214.5399932861328,1886400
+2025-12-03,217.5200042724609,214.6199951171875,216.1499938964844,1615500
+2025-12-04,216.72000122070312,213.25999450683597,214.19000244140625,2403100
+2025-12-05,215.38999938964844,212.91000366210935,213.5800018310547,1277300
+2025-12-08,213.25,210.0,210.22999572753903,1709900
+2025-12-09,212.25,209.05999755859372,209.30999755859372,1808400
+2025-12-10,209.97000122070312,207.7400054931641,209.1499938964844,2474900
+2025-12-11,213.2700042724609,209.91000366210935,212.0500030517578,2512300
+2025-12-12,216.7899932861328,212.66000366210935,215.6100006103516,2572700
+2025-12-15,218.6100006103516,214.5399932861328,218.32000732421875,2013300
+2025-12-16,220.58999633789065,218.3999938964844,218.8999938964844,1591500
+2025-12-17,220.57000732421875,217.82000732421875,219.7700042724609,1628700
+2025-12-18,220.52999877929688,217.9199981689453,218.32000732421875,1476800
+2025-12-19,218.42999267578125,216.27999877929688,216.33999633789065,4209800
+2025-12-22,219.8000030517578,214.0,219.66000366210935,1575500
+2025-12-23,220.5399932861328,219.0500030517578,220.33999633789065,915200
+2025-12-24,221.82000732421875,220.63999938964844,221.3600006103516,460900
+",
+US,technical,"What was NXP Semiconductors's Chaikin Money Flow on February 10, 2021? (Standard period: 20) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-0.0715,easy,volume,MFM_t = ((C_t - L_t) - (H_t - C_t)) / (H_t - L_t); MFV_t = MFM_t * V_t; CMF = \sum_{i=0}^{n-1} MFV_{t-i} / \sum_{i=0}^{n-1} V_{t-i},"date,high,low,close,volume
+2021-01-13,177.99000549316406,176.17999267578125,177.4199981689453,1750300
+2021-01-14,181.08999633789065,178.6199951171875,180.0,2617400
+2021-01-15,179.83999633789062,168.4499969482422,172.22000122070312,3598600
+2021-01-19,178.5,174.5399932861328,175.0,2522300
+2021-01-20,180.30999755859372,173.7100067138672,174.49000549316406,2590700
+2021-01-21,176.75,171.72999572753906,173.6199951171875,2187400
+2021-01-22,175.1699981689453,171.9199981689453,172.3000030517578,1974000
+2021-01-25,176.75,171.02999877929688,174.4199981689453,2006000
+2021-01-26,174.4600067138672,168.66000366210938,168.75,2231100
+2021-01-27,164.42999267578125,156.02000427246094,160.55999755859375,3714500
+2021-01-28,166.8000030517578,162.3800048828125,164.3300018310547,2484700
+2021-01-29,167.5500030517578,159.80999755859375,160.47000122070312,3535400
+2021-02-01,172.44000244140625,166.10000610351562,171.52999877929688,4953000
+2021-02-02,183.0,170.6999969482422,177.2100067138672,6621800
+2021-02-03,181.7400054931641,173.11000061035156,174.10000610351562,3272600
+2021-02-04,181.4499969482422,175.14999389648438,181.4499969482422,2703100
+2021-02-05,184.1300048828125,181.05999755859372,181.9900054931641,3031400
+2021-02-08,188.1499938964844,184.0,188.1199951171875,2332800
+2021-02-09,188.3999938964844,184.47000122070312,188.0399932861328,1702800
+2021-02-10,191.92999267578125,183.38999938964844,187.8999938964844,2839800
+",
+US,technical,"For Chaikin Money Flow, what is the value of Allegion on June 25, 2020? (Standard period: 20) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0421,easy,volume,MFM_t = ((C_t - L_t) - (H_t - C_t)) / (H_t - L_t); MFV_t = MFM_t * V_t; CMF = \sum_{i=0}^{n-1} MFV_{t-i} / \sum_{i=0}^{n-1} V_{t-i},"date,high,low,close,volume
+2020-05-29,100.18000030517578,97.8499984741211,99.6999969482422,917200
+2020-06-01,102.01000213623048,99.43000030517578,100.6500015258789,480400
+2020-06-02,101.98999786376952,99.36000061035156,100.01000213623048,664100
+2020-06-03,105.38999938964844,100.5999984741211,105.04000091552734,714800
+2020-06-04,106.23999786376952,103.20999908447266,106.08999633789062,774900
+2020-06-05,117.48999786376952,109.29000091552734,115.3499984741211,1535500
+2020-06-08,116.6999969482422,114.31999969482422,115.54000091552734,707900
+2020-06-09,113.63999938964844,111.77999877929688,112.29000091552734,612100
+2020-06-10,112.41999816894533,108.76000213623048,109.0199966430664,663200
+2020-06-11,105.48999786376952,101.37999725341795,101.55999755859376,734400
+2020-06-12,104.91000366210938,99.37000274658205,102.41000366210938,732000
+2020-06-15,103.2300033569336,98.47000122070312,102.6500015258789,540700
+2020-06-16,106.80999755859376,102.05999755859376,104.52999877929688,472600
+2020-06-17,106.02999877929688,103.63999938964844,104.25,481300
+2020-06-18,105.26000213623048,102.16999816894533,102.98999786376952,563400
+2020-06-19,104.98999786376952,101.91000366210938,102.73999786376952,969000
+2020-06-22,102.86000061035156,100.41000366210938,102.6999969482422,709800
+2020-06-23,104.91000366210938,102.41999816894533,102.66000366210938,466700
+2020-06-24,101.97000122070312,97.70999908447266,97.83000183105467,560200
+2020-06-25,98.25,95.08000183105467,98.0,716200
+",
+US,technical,"Calculate the Chaikin Money Flow value for Arista Networks on July 14, 2025. (Standard period: 20) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.2227,easy,volume,MFM_t = ((C_t - L_t) - (H_t - C_t)) / (H_t - L_t); MFV_t = MFM_t * V_t; CMF = \sum_{i=0}^{n-1} MFV_{t-i} / \sum_{i=0}^{n-1} V_{t-i},"date,high,low,close,volume
+2025-06-13,94.94000244140624,92.12000274658205,92.3499984741211,6217300
+2025-06-16,95.33999633789062,92.5250015258789,95.08999633789062,7734700
+2025-06-17,94.697998046875,89.54000091552734,89.68000030517578,11797600
+2025-06-18,91.4739990234375,89.0,90.23999786376952,9164100
+2025-06-20,91.2300033569336,85.7750015258789,86.25,18552800
+2025-06-23,92.37999725341795,85.58000183105469,91.9499969482422,16234000
+2025-06-24,95.12000274658205,92.6999969482422,94.97000122070312,11279800
+2025-06-25,96.66000366210938,94.5,96.30999755859376,7883500
+2025-06-26,102.12000274658205,97.33000183105467,101.58999633789062,15262400
+2025-06-27,102.25,98.87999725341795,99.38999938964844,10396100
+2025-06-30,103.13200378417967,101.0,102.30999755859376,12519500
+2025-07-01,102.72000122070312,97.3499984741211,98.91000366210938,8685500
+2025-07-02,101.20999908447266,97.13999938964844,101.12999725341795,8326300
+2025-07-03,103.5,101.3000030517578,102.5199966430664,5296700
+2025-07-07,102.20999908447266,100.33000183105467,101.47000122070312,6245100
+2025-07-08,103.66999816894533,100.94499969482422,103.38999938964844,7297000
+2025-07-09,107.31999969482422,103.63700103759766,106.27999877929688,14511700
+2025-07-10,106.5500030517578,102.6780014038086,106.29000091552734,9371000
+2025-07-11,109.4499969482422,105.68000030517578,108.56999969482422,12954500
+2025-07-14,109.88999938964844,106.25,108.37000274658205,8871000
+",
+US,technical,"What is the value of Chaikin Oscillator for Baxter International on April 03, 2020? (Standard parameters: fast 3, slow 10; Require 60 bars to warm up; EMA uses the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2082114.2491,easy,volume,ChaikinOsc = EMA_{n_{fast}}(ADL) - EMA_{n_{slow}}(ADL),"date,high,low,close,volume
+2020-01-08,86.98999786376953,85.54000091552734,86.7300033569336,3576600
+2020-01-09,87.08000183105469,85.86000061035156,86.54000091552734,2098900
+2020-01-10,87.05000305175781,85.6500015258789,85.9000015258789,3118900
+2020-01-13,90.3000030517578,87.0999984741211,89.37000274658203,5007700
+2020-01-14,89.2699966430664,87.88999938964844,89.20999908447266,3836300
+2020-01-15,89.94999694824219,88.69000244140625,89.55999755859375,2561000
+2020-01-16,90.0,89.31999969482422,89.98999786376953,2243900
+2020-01-17,89.93000030517578,89.20999908447266,89.7300033569336,4474900
+2020-01-21,91.87000274658205,89.30999755859375,91.06999969482422,4284900
+2020-01-22,91.86000061035156,90.58000183105467,91.16000366210938,2815400
+2020-01-23,91.43000030517578,90.52999877929688,91.0999984741211,2129400
+2020-01-24,91.47000122070312,90.51000213623048,90.77999877929688,1610800
+2020-01-27,90.95999908447266,89.12000274658203,90.52999877929688,2222400
+2020-01-28,90.94000244140624,90.26000213623048,90.5500030517578,1952200
+2020-01-29,91.16999816894533,90.4800033569336,90.5,1548200
+2020-01-30,90.6999969482422,89.2699966430664,90.63999938964844,1608500
+2020-01-31,90.31999969482422,89.05000305175781,89.22000122070312,1796500
+2020-02-03,90.63999938964844,89.6500015258789,89.69000244140625,1498500
+2020-02-04,91.62000274658205,90.06999969482422,90.87000274658205,2213300
+2020-02-05,91.6500015258789,90.4499969482422,91.30999755859376,3185000
+2020-02-06,95.0,92.75,93.3000030517578,3888400
+2020-02-07,92.95999908447266,91.18000030517578,91.25,2306000
+2020-02-10,91.38999938964844,90.25,91.27999877929688,2597700
+2020-02-11,92.3000030517578,91.41999816894533,91.8499984741211,1706500
+2020-02-12,92.19000244140624,91.11000061035156,91.43000030517578,1590900
+2020-02-13,92.88999938964844,90.98999786376952,92.56999969482422,2146100
+2020-02-14,93.43000030517578,91.9000015258789,93.13999938964844,1740200
+2020-02-18,92.6500015258789,91.04000091552734,92.22000122070312,1820600
+2020-02-19,93.56999969482422,92.20999908447266,93.16000366210938,1616300
+2020-02-20,93.5,92.41000366210938,93.05999755859376,1778200
+2020-02-21,93.16000366210938,92.23999786376952,92.66999816894533,1529500
+2020-02-24,91.33000183105467,89.19000244140625,89.52999877929688,2380600
+2020-02-25,90.2300033569336,86.19999694824219,86.98999786376953,2620400
+2020-02-26,88.69999694824219,86.87999725341797,87.02999877929688,3126900
+2020-02-27,87.0199966430664,84.2300033569336,84.2699966430664,3004200
+2020-02-28,83.58999633789062,80.58999633789062,83.47000122070312,4659600
+2020-03-02,87.2300033569336,82.9000015258789,87.18000030517578,3370100
+2020-03-03,88.9800033569336,84.55999755859375,85.91000366210938,3240700
+2020-03-04,91.13999938964844,87.08999633789062,91.05999755859376,4342500
+2020-03-05,89.94000244140625,86.41999816894531,87.6500015258789,3821800
+2020-03-06,86.19000244140625,82.94999694824219,85.37999725341797,3442800
+2020-03-09,81.7300033569336,78.0999984741211,78.4000015258789,4109100
+2020-03-10,83.30999755859375,78.7300033569336,82.9800033569336,3490500
+2020-03-11,81.9000015258789,76.37999725341797,77.97000122070312,3652900
+2020-03-12,77.26000213623047,71.27999877929688,75.47000122070312,6982400
+2020-03-13,81.31999969482422,73.58999633789062,80.98999786376953,5774200
+2020-03-16,77.13999938964844,69.0999984741211,71.56999969482422,4351900
+2020-03-17,81.27999877929688,72.87999725341797,80.51000213623047,5921700
+2020-03-18,85.22000122070312,75.94999694824219,84.58999633789062,7524300
+2020-03-19,85.19999694824219,77.16000366210938,78.16999816894531,6492100
+2020-03-20,78.73999786376953,74.04000091552734,75.75,6097400
+2020-03-23,75.08999633789062,69.69000244140625,71.80999755859375,4664000
+2020-03-24,75.7300033569336,72.0999984741211,73.91000366210938,4685100
+2020-03-25,74.86000061035156,72.20999908447266,73.56999969482422,5993700
+2020-03-26,80.73999786376953,73.91000366210938,80.16999816894531,4465700
+2020-03-27,80.66999816894531,76.37000274658203,79.79000091552734,4446300
+2020-03-30,82.98999786376953,80.30999755859375,82.19000244140625,2371200
+2020-03-31,84.36000061035156,80.76000213623047,81.19000244140625,2767600
+2020-04-01,80.8499984741211,77.81999969482422,78.66000366210938,3017800
+2020-04-02,82.36000061035156,77.9800033569336,82.22000122070312,3161100
+2020-04-03,82.69000244140625,80.19999694824219,81.41999816894531,3271000
+",
+US,technical,"On August 25, 2021, what is the Chaikin Oscillator value for International Flavors & Fragrances? (Standard parameters: fast 3, slow 10; Require 60 bars to warm up; EMA uses the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",347448.9997,easy,volume,ChaikinOsc = EMA_{n_{fast}}(ADL) - EMA_{n_{slow}}(ADL),"date,high,low,close,volume
+2021-06-01,143.60000610351562,140.83999633789062,142.30999755859375,1973400
+2021-06-02,144.64999389648438,142.0,143.6699981689453,1888600
+2021-06-03,144.16000366210938,142.0,142.7100067138672,1092600
+2021-06-04,143.44000244140625,141.6999969482422,143.0,1415000
+2021-06-07,144.50999450683594,142.24000549316406,143.17999267578125,696100
+2021-06-08,144.99000549316406,142.6999969482422,144.80999755859375,994200
+2021-06-09,147.38999938964844,144.66000366210938,147.08999633789062,1137900
+2021-06-10,148.1699981689453,147.05999755859375,147.75,1493800
+2021-06-11,148.77000427246094,145.6300048828125,147.77999877929688,1835400
+2021-06-14,148.00999450683594,146.58999633789062,147.77000427246094,1303500
+2021-06-15,148.10000610351562,146.36000061035156,147.22999572753906,859000
+2021-06-16,148.24000549316406,146.52999877929688,147.27000427246094,791300
+2021-06-17,148.07000732421875,144.72000122070312,145.80999755859375,1412200
+2021-06-18,145.6300048828125,143.60000610351562,144.86000061035156,1842600
+2021-06-21,148.60000610351562,145.66000366210938,148.41000366210938,821000
+2021-06-22,149.74000549316406,147.52999877929688,149.10000610351562,900300
+2021-06-23,150.02999877929688,148.3800048828125,148.4499969482422,927100
+2021-06-24,148.99000549316406,147.25999450683594,148.4199981689453,617900
+2021-06-25,149.99000549316406,148.57000732421875,148.9600067138672,827100
+2021-06-28,149.27999877929688,147.66000366210938,148.7899932861328,1014400
+2021-06-29,150.02999877929688,148.22000122070312,148.75999450683594,664500
+2021-06-30,149.55999755859375,147.47999572753906,149.39999389648438,1462700
+2021-07-01,150.16000366210938,149.14999389648438,149.38999938964844,871500
+2021-07-02,150.07000732421875,148.36000061035156,149.99000549316406,955700
+2021-07-06,149.99000549316406,147.25999450683594,147.91000366210938,1060100
+2021-07-07,149.10000610351562,146.77000427246094,148.8000030517578,642500
+2021-07-08,147.9499969482422,146.25,147.8000030517578,1406200
+2021-07-09,149.6199951171875,147.05999755859375,147.6999969482422,1707900
+2021-07-12,149.02999877929688,146.9199981689453,148.5800018310547,2216100
+2021-07-13,148.61000061035156,144.52999877929688,145.4499969482422,1222700
+2021-07-14,145.6199951171875,144.13999938964844,144.7100067138672,2025500
+2021-07-15,145.6699981689453,143.35000610351562,144.0,1083200
+2021-07-16,145.1699981689453,142.67999267578125,143.4199981689453,1343500
+2021-07-19,142.91000366210938,139.6199951171875,140.11000061035156,2290300
+2021-07-20,144.39999389648438,140.08999633789062,143.7899932861328,1260200
+2021-07-21,145.27999877929688,143.61000061035156,144.97999572753906,656500
+2021-07-22,146.50999450683594,144.10000610351562,146.0500030517578,1298600
+2021-07-23,148.47000122070312,145.77000427246094,148.3300018310547,582700
+2021-07-26,149.1999969482422,147.91000366210938,148.8000030517578,692800
+2021-07-27,149.27000427246094,147.24000549316406,149.16000366210938,1003600
+2021-07-28,149.44000244140625,147.55999755859375,148.47000122070312,774200
+2021-07-29,150.10000610351562,148.63999938964844,149.1300048828125,720400
+2021-07-30,150.77000427246094,148.75,150.63999938964844,738000
+2021-08-02,151.99000549316406,149.47000122070312,149.58999633789062,1063600
+2021-08-03,150.67999267578125,148.35000610351562,150.11000061035156,981400
+2021-08-04,150.02999877929688,147.77000427246094,147.7899932861328,2313500
+2021-08-05,149.74000549316406,147.77999877929688,148.0800018310547,1045500
+2021-08-06,151.60000610351562,147.17999267578125,151.05999755859375,1697900
+2021-08-09,153.8300018310547,150.52999877929688,153.72999572753906,1632800
+2021-08-10,156.5,153.7100067138672,156.35000610351562,1269300
+2021-08-11,157.0800018310547,155.8800048828125,156.77999877929688,793500
+2021-08-12,156.80999755859375,155.27000427246094,156.08999633789062,1197800
+2021-08-13,157.05999755859375,155.60000610351562,156.75,555400
+2021-08-16,156.5500030517578,154.75999450683594,155.55999755859375,1085700
+2021-08-17,155.92999267578125,153.25999450683594,154.8300018310547,793300
+2021-08-18,154.55999755859375,151.4199981689453,151.50999450683594,1048000
+2021-08-19,151.35000610351562,149.27000427246094,149.39999389648438,1369000
+2021-08-20,150.0,148.3800048828125,149.75999450683594,930000
+2021-08-23,150.5500030517578,148.94000244140625,150.24000549316406,1088200
+2021-08-24,152.07000732421875,150.1999969482422,151.2899932861328,1395700
+2021-08-25,152.42999267578125,150.02000427246094,151.6699981689453,818300
+",
+US,technical,"What was Schlumberger's Chaikin Oscillator on March 30, 2020? (Standard parameters: fast 3, slow 10; Require 60 bars to warm up; EMA uses the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2188579.8984,easy,volume,ChaikinOsc = EMA_{n_{fast}}(ADL) - EMA_{n_{slow}}(ADL),"date,high,low,close,volume
+2020-01-02,40.720001220703125,40.08000183105469,40.16999816894531,9147400
+2020-01-03,41.13999938964844,40.0,40.560001373291016,9752000
+2020-01-06,41.08000183105469,40.18999862670898,40.81999969482422,15534100
+2020-01-07,40.61000061035156,39.72999954223633,40.61000061035156,10971700
+2020-01-08,40.43999862670898,39.310001373291016,39.40999984741211,11327600
+2020-01-09,40.09000015258789,38.72999954223633,39.86000061035156,12186000
+2020-01-10,40.09000015258789,39.5099983215332,39.83000183105469,8089700
+2020-01-13,39.84000015258789,38.970001220703125,39.22999954223633,11665600
+2020-01-14,39.52999877929688,38.38999938964844,39.52999877929688,13958700
+2020-01-15,39.36000061035156,38.13999938964844,38.33000183105469,13737700
+2020-01-16,38.93000030517578,38.34999847412109,38.77999877929688,11771100
+2020-01-17,39.970001220703125,38.18000030517578,38.369998931884766,17644600
+2020-01-21,37.72999954223633,36.88999938964844,36.95000076293945,16710200
+2020-01-22,36.81999969482422,36.22999954223633,36.68000030517578,12796800
+2020-01-23,36.52999877929688,35.56999969482422,36.43000030517578,11844000
+2020-01-24,36.220001220703125,35.349998474121094,35.77000045776367,10408600
+2020-01-27,34.7400016784668,33.869998931884766,33.959999084472656,17360600
+2020-01-28,34.22999954223633,33.4900016784668,33.959999084472656,10938000
+2020-01-29,34.630001068115234,33.720001220703125,33.72999954223633,9003800
+2020-01-30,34.08000183105469,33.0,34.040000915527344,10489600
+2020-01-31,33.86000061035156,33.18000030517578,33.5099983215332,16887900
+2020-02-03,33.70000076293945,33.189998626708984,33.459999084472656,9202500
+2020-02-04,34.72999954223633,33.95000076293945,34.06999969482422,12373600
+2020-02-05,35.65999984741211,34.72999954223633,35.06999969482422,11399900
+2020-02-06,35.220001220703125,34.41999816894531,34.5099983215332,7980300
+2020-02-07,34.7599983215332,33.880001068115234,34.41999816894531,8582100
+2020-02-10,34.369998931884766,33.810001373291016,34.349998474121094,7197400
+2020-02-11,34.349998474121094,33.869998931884766,34.290000915527344,8825600
+2020-02-12,35.380001068115234,34.439998626708984,35.04999923706055,9094900
+2020-02-13,35.02000045776367,33.970001220703125,34.66999816894531,11718000
+2020-02-14,34.869998931884766,34.13999938964844,34.41999816894531,7904500
+2020-02-18,33.9900016784668,32.880001068115234,33.650001525878906,11792800
+2020-02-19,34.34000015258789,33.63999938964844,34.290000915527344,6592300
+2020-02-20,34.709999084472656,33.779998779296875,33.83000183105469,7836000
+2020-02-21,33.54999923706055,32.869998931884766,33.38999938964844,7246300
+2020-02-24,31.989999771118164,30.809999465942383,30.93000030517578,16714900
+2020-02-25,31.049999237060547,29.21999931335449,29.34000015258789,18709700
+2020-02-26,29.739999771118164,28.3799991607666,28.3799991607666,19240700
+2020-02-27,28.280000686645508,26.81999969482422,26.84000015258789,23765700
+2020-02-28,27.15999984741211,25.450000762939453,27.09000015258789,26830600
+2020-03-02,27.790000915527344,26.170000076293945,27.790000915527344,23253000
+2020-03-03,27.90999984741211,26.270000457763672,26.809999465942383,22020400
+2020-03-04,27.3799991607666,26.26000022888184,27.07999992370605,16155900
+2020-03-05,26.25,25.239999771118164,25.82999992370605,15754600
+2020-03-06,25.15999984741211,23.520000457763672,23.850000381469727,23793200
+2020-03-09,17.899999618530273,12.90999984741211,17.309999465942383,86148000
+2020-03-10,19.229999542236328,17.1299991607666,18.190000534057617,40409000
+2020-03-11,18.13999938964844,17.049999237060547,17.3799991607666,33291900
+2020-03-12,16.690000534057617,14.40999984741211,14.420000076293944,47922900
+2020-03-13,16.170000076293945,14.31999969482422,16.15999984741211,29182100
+2020-03-16,16.040000915527344,13.260000228881836,14.40999984741211,24971100
+2020-03-17,14.5600004196167,13.109999656677246,14.0,25536500
+2020-03-18,13.720000267028809,11.890000343322754,12.050000190734863,28198200
+2020-03-19,14.279999732971191,11.869999885559082,13.869999885559082,25449300
+2020-03-20,14.579999923706056,13.100000381469728,14.279999732971191,32875200
+2020-03-23,14.43000030517578,12.600000381469728,12.829999923706056,24393500
+2020-03-24,14.93000030517578,13.5,14.649999618530272,25812600
+2020-03-25,15.869999885559082,13.579999923706056,14.600000381469728,24201200
+2020-03-26,15.640000343322754,14.380000114440918,15.520000457763672,22180200
+2020-03-27,14.699999809265137,13.739999771118164,13.760000228881836,21794500
+2020-03-30,13.6899995803833,12.949999809265137,13.279999732971191,25981500
+",
+US,technical,"For Chaikin Oscillator, what is the value of Rockwell Automation on June 10, 2022? (Standard parameters: fast 3, slow 10; Require 60 bars to warm up; EMA uses the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",243936.4008,easy,volume,ChaikinOsc = EMA_{n_{fast}}(ADL) - EMA_{n_{slow}}(ADL),"date,high,low,close,volume
+2022-03-16,269.19000244140625,262.44000244140625,268.4800109863281,755800
+2022-03-17,272.260009765625,266.92999267578125,271.0,569100
+2022-03-18,276.489990234375,268.8699951171875,275.8299865722656,949400
+2022-03-21,275.8699951171875,270.04998779296875,272.9100036621094,613700
+2022-03-22,275.6300048828125,272.0400085449219,274.1499938964844,534900
+2022-03-23,273.42999267578125,269.0599975585937,270.44000244140625,452800
+2022-03-24,275.0,270.4599914550781,275.0,422100
+2022-03-25,279.989990234375,274.7300109863281,279.17999267578125,526500
+2022-03-28,280.3800048828125,275.32000732421875,280.239990234375,481800
+2022-03-29,288.3800048828125,282.1600036621094,284.8900146484375,626200
+2022-03-30,283.5799865722656,279.6300048828125,280.7200012207031,656800
+2022-03-31,283.7099914550781,279.4800109863281,280.0299987792969,1083000
+2022-04-01,284.75,278.9700012207031,284.4800109863281,740500
+2022-04-04,284.0,279.6199951171875,281.1700134277344,666000
+2022-04-05,283.6499938964844,277.75,279.1000061035156,756100
+2022-04-06,275.1099853515625,269.20001220703125,272.2300109863281,814500
+2022-04-07,272.54998779296875,266.5,271.04998779296875,665200
+2022-04-08,275.010009765625,267.8299865722656,269.4100036621094,472100
+2022-04-11,270.92999267578125,265.4800109863281,266.0799865722656,495900
+2022-04-12,270.3999938964844,262.07000732421875,262.9100036621094,455800
+2022-04-13,267.2099914550781,262.04998779296875,267.0400085449219,460600
+2022-04-14,267.989990234375,261.4800109863281,261.6600036621094,509800
+2022-04-18,264.9800109863281,260.2200012207031,261.4700012207031,422300
+2022-04-19,271.2300109863281,261.67999267578125,270.9100036621094,529300
+2022-04-20,277.1600036621094,271.9800109863281,272.5400085449219,607500
+2022-04-21,280.4599914550781,271.6300048828125,271.760009765625,615000
+2022-04-22,269.6199951171875,260.3699951171875,260.5299987792969,594000
+2022-04-25,261.7699890136719,252.4900054931641,261.3099975585937,613900
+2022-04-26,260.5199890136719,252.02999877929688,252.2100067138672,752800
+2022-04-27,258.5799865722656,252.7899932861328,256.7900085449219,576000
+2022-04-28,264.2699890136719,256.5899963378906,263.3500061035156,464700
+2022-04-29,264.5199890136719,251.8500061035156,252.6699981689453,1077700
+2022-05-02,253.2400054931641,244.91000366210935,250.0399932861328,1572800
+2022-05-03,230.0,210.6199951171875,213.7400054931641,4018500
+2022-05-04,223.33999633789065,211.8500061035156,222.3500061035156,1792300
+2022-05-05,221.3999938964844,212.2700042724609,214.44000244140625,1271300
+2022-05-06,219.50999450683597,210.2100067138672,214.50999450683597,1306600
+2022-05-09,213.50999450683597,202.3800048828125,203.22000122070312,1744500
+2022-05-10,208.6300048828125,199.83999633789065,205.1199951171875,1403900
+2022-05-11,207.3800048828125,198.63999938964844,199.0,1100600
+2022-05-12,208.0,197.1000061035156,203.8300018310547,1555700
+2022-05-13,209.38999938964844,202.3000030517578,203.82000732421875,1386800
+2022-05-16,204.1300048828125,199.0,202.38999938964844,742800
+2022-05-17,205.6100006103516,200.66000366210935,204.2400054931641,812500
+2022-05-18,202.4900054931641,194.52999877929688,195.3999938964844,1072600
+2022-05-19,201.27999877929688,191.0800018310547,198.72000122070312,956900
+2022-05-20,201.6300048828125,195.2100067138672,199.50999450683597,910600
+2022-05-23,203.6100006103516,197.69000244140625,202.66000366210935,701800
+2022-05-24,199.3000030517578,193.9499969482422,198.17999267578125,1046200
+2022-05-25,199.6300048828125,195.25,198.8300018310547,899000
+2022-05-26,205.88999938964844,201.63999938964844,204.7400054931641,877900
+2022-05-27,212.0800018310547,207.1199951171875,211.0200042724609,1176200
+2022-05-31,214.8600006103516,207.22000122070312,213.1999969482422,2238300
+2022-06-01,219.52999877929688,213.72000122070312,217.00999450683597,1433300
+2022-06-02,220.42999267578125,214.8300018310547,220.16000366210935,1008200
+2022-06-03,219.58999633789065,215.4600067138672,218.2700042724609,794700
+2022-06-06,222.1699981689453,212.9900054931641,214.8600006103516,1197200
+2022-06-07,217.42999267578125,211.25,217.2899932861328,997000
+2022-06-08,218.22000122070312,214.22000122070312,214.8699951171875,824100
+2022-06-09,217.47000122070312,210.5500030517578,213.3000030517578,992400
+2022-06-10,212.6000061035156,208.55999755859372,208.7400054931641,1194700
+",
+US,technical,"Calculate the Chaikin Oscillator value for KLA Corporation on December 26, 2024. (Standard parameters: fast 3, slow 10; Require 60 bars to warm up; EMA uses the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-208434.1713,easy,volume,ChaikinOsc = EMA_{n_{fast}}(ADL) - EMA_{n_{slow}}(ADL),"date,high,low,close,volume
+2024-10-01,786.9099731445312,746.1599731445312,753.6900024414062,1279600
+2024-10-02,787.4400024414062,755.0,777.3599853515625,701800
+2024-10-03,783.989990234375,764.0,774.5599975585938,584200
+2024-10-04,800.4600219726562,777.2100219726562,787.3900146484375,757300
+2024-10-07,787.9000244140625,771.8400268554688,781.6699829101562,748100
+2024-10-08,793.6699829101562,774.239990234375,783.9000244140625,653400
+2024-10-09,806.780029296875,780.3499755859375,804.6300048828125,628500
+2024-10-10,799.8200073242188,787.0,797.97998046875,461900
+2024-10-11,806.4199829101562,792.6699829101562,803.72998046875,570800
+2024-10-14,833.0,809.3699951171875,829.6500244140625,567900
+2024-10-15,832.3800048828125,698.9600219726562,707.719970703125,2870900
+2024-10-16,720.760009765625,682.010009765625,682.5900268554688,2280600
+2024-10-17,701.219970703125,669.6799926757812,670.25,1936500
+2024-10-18,681.9000244140625,664.3200073242188,678.52001953125,1192800
+2024-10-21,679.75,667.4000244140625,673.6099853515625,739300
+2024-10-22,673.1500244140625,663.6599731445312,670.0800170898438,787400
+2024-10-23,672.3099975585938,654.6500244140625,664.6300048828125,846800
+2024-10-24,684.3900146484375,665.4400024414062,666.1599731445312,884700
+2024-10-25,682.8400268554688,668.0,673.0700073242188,954800
+2024-10-28,679.1400146484375,670.2100219726562,674.3499755859375,1051800
+2024-10-29,700.4000244140625,673.77001953125,696.22998046875,1333900
+2024-10-30,695.1900024414062,680.010009765625,691.7999877929688,1656800
+2024-10-31,681.0499877929688,656.0,666.22998046875,2001200
+2024-11-01,678.6500244140625,663.4400024414062,669.3800048828125,906400
+2024-11-04,670.5599975585938,662.3599853515625,663.3699951171875,637900
+2024-11-05,681.5499877929688,667.25,670.3300170898438,1016300
+2024-11-06,678.6400146484375,657.47998046875,669.6599731445312,1715400
+2024-11-07,687.8200073242188,675.0999755859375,686.1500244140625,1122200
+2024-11-08,694.3599853515625,681.3800048828125,687.4099731445312,1278100
+2024-11-11,685.2100219726562,656.739990234375,666.030029296875,1422800
+2024-11-12,669.260009765625,654.8599853515625,664.780029296875,1111300
+2024-11-13,655.989990234375,638.3200073242188,644.5499877929688,1505200
+2024-11-14,660.0,642.739990234375,645.0,1169900
+2024-11-15,630.0,612.3499755859375,614.4600219726562,1712000
+2024-11-18,623.77001953125,611.77001953125,620.260009765625,1223300
+2024-11-19,618.4099731445312,609.4000244140625,615.6599731445312,1408900
+2024-11-20,619.9500122070312,609.8900146484375,616.8300170898438,1195100
+2024-11-21,637.9600219726562,620.0,633.1599731445312,1386000
+2024-11-22,643.030029296875,630.0,639.5499877929688,981800
+2024-11-25,646.6900024414062,632.1099853515625,644.6699829101562,1913000
+2024-11-26,651.1799926757812,623.8599853515625,631.469970703125,923200
+2024-11-27,633.989990234375,621.22998046875,632.1400146484375,942600
+2024-11-29,661.5,643.27001953125,647.030029296875,925700
+2024-12-02,669.0700073242188,645.0,666.030029296875,1380200
+2024-12-03,667.1799926757812,656.8200073242188,665.719970703125,1376500
+2024-12-04,670.5,655.6699829101562,666.219970703125,1459200
+2024-12-05,662.9199829101562,641.3900146484375,642.6099853515625,1028200
+2024-12-06,650.7100219726562,638.1799926757812,648.3400268554688,862400
+2024-12-09,666.3400268554688,645.8200073242188,652.3699951171875,1093300
+2024-12-10,657.8300170898438,638.469970703125,641.8699951171875,914800
+2024-12-11,657.1199951171875,642.0800170898438,648.8400268554688,1107400
+2024-12-12,649.8900146484375,637.9099731445312,646.5999755859375,698200
+2024-12-13,663.8699951171875,647.5800170898438,653.760009765625,1463200
+2024-12-16,664.530029296875,645.4199829101562,656.1300048828125,1014300
+2024-12-17,668.9000244140625,652.0900268554688,654.8800048828125,1252400
+2024-12-18,669.0999755859375,625.6099853515625,630.77001953125,1452100
+2024-12-19,635.280029296875,620.5800170898438,622.1799926757812,1115700
+2024-12-20,641.0499877929688,613.4000244140625,629.3699951171875,2652200
+2024-12-23,649.510009765625,631.5800170898438,647.989990234375,886400
+2024-12-24,652.0,641.260009765625,650.530029296875,349500
+2024-12-26,653.8900146484375,642.0499877929688,648.5499877929688,454100
+",
+US,technical,"What is the value of Annualized Return for Broadridge Financial Solutions from August 02, 2020 to December 04, 2020? (252 trading days per year; unit: %) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",27.9716,easy,return,((P_T / P_0)^{252 / N} - 1) * 100%,"date,close
+2020-08-03,137.0399932861328
+2020-12-04,149.22000122070312
+",
+US,technical,"From November 19, 2023 to November 13, 2024, what is Expeditors International's Annualized Return? (252 trading days per year; unit: %) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.7104,easy,return,((P_T / P_0)^{252 / N} - 1) * 100%,"date,close
+2023-11-20,117.52999877929688
+2024-11-13,119.5
+",
+US,technical,"What was JPMorgan Chase's Annualized Return during the period May 07, 2022 to June 12, 2022? (252 trading days per year; unit: %) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-18.9162,easy,return,((P_T / P_0)^{252 / N} - 1) * 100%,"date,close
+2022-05-09,121.86000061035156
+2022-06-10,119.5500030517578
+",
+US,technical,"For Annualized Return, what is Hubbell Incorporated's value from September 11, 2024 to August 24, 2025? (252 trading days per year; unit: %) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",13.034,easy,return,((P_T / P_0)^{252 / N} - 1) * 100%,"date,close
+2024-09-11,392.8699951171875
+2025-08-22,440.8500061035156
+",
+US,technical,"Calculate Honeywell's Annualized Return from October 04, 2024 to November 26, 2024. (252 trading days per year; unit: %) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",130.759,easy,return,((P_T / P_0)^{252 / N} - 1) * 100%,"date,close
+2024-10-04,192.0640869140625
+2024-11-26,217.15362548828125
+",
+US,technical,"What is the value of Annualized Volatility for Garmin from August 01, 2024 to May 03, 2025? (252 trading days per year; unit: %) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",45.1469,easy,risk,r_t = P_t / P_{t-1} - 1; AnnVol = \sigma(r) * \sqrt{252} * 100%,"date,close
+2024-07-31,171.25
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+US,technical,"From November 29, 2024 to January 08, 2025, what is Coinbase's Annualized Volatility? (252 trading days per year; unit: %) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",75.0982,easy,risk,r_t = P_t / P_{t-1} - 1; AnnVol = \sigma(r) * \sqrt{252} * 100%,"date,close
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+US,technical,"What was FedEx's Annualized Volatility during the period July 11, 2023 to May 02, 2024? (252 trading days per year; unit: %) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",25.2319,easy,risk,r_t = P_t / P_{t-1} - 1; AnnVol = \sigma(r) * \sqrt{252} * 100%,"date,close
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+US,technical,"For Annualized Volatility, what is Equinix's value from January 19, 2021 to October 10, 2021? (252 trading days per year; unit: %) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",25.2698,easy,risk,r_t = P_t / P_{t-1} - 1; AnnVol = \sigma(r) * \sqrt{252} * 100%,"date,close
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+US,technical,"Calculate Fiserv's Annualized Volatility from January 12, 2021 to April 08, 2021. (252 trading days per year; unit: %) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",25.1422,easy,risk,r_t = P_t / P_{t-1} - 1; AnnVol = \sigma(r) * \sqrt{252} * 100%,"date,close
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+US,technical,"What is the value of Skewness for L3Harris from December 03, 2022 to December 21, 2022? Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-0.6476,easy,risk,Skew(r) = E[(r - \mu)^3] / \sigma^3,"date,close
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+US,technical,"From January 04, 2020 to October 21, 2020, what is DTE Energy's Skewness? Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-0.4887,easy,risk,Skew(r) = E[(r - \mu)^3] / \sigma^3,"date,close
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+US,technical,"What was Fidelity National Information Services's Skewness during the period February 17, 2024 to March 21, 2024? Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.5522,easy,risk,Skew(r) = E[(r - \mu)^3] / \sigma^3,"date,close
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+2024-03-05,69.75
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+2024-03-07,69.1500015258789
+2024-03-08,69.6500015258789
+2024-03-11,69.75
+2024-03-12,69.55000305175781
+2024-03-13,68.9000015258789
+2024-03-14,68.22000122070312
+2024-03-15,69.12000274658203
+2024-03-18,69.30000305175781
+2024-03-19,69.86000061035156
+2024-03-20,70.69999694824219
+2024-03-21,72.26000213623047
+",
+US,technical,"For Skewness, what is Royal Caribbean Group's value from April 26, 2024 to December 21, 2024? Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-0.083,easy,risk,Skew(r) = E[(r - \mu)^3] / \sigma^3,"date,close
+2024-04-25,137.47000122070312
+2024-04-26,140.58999633789062
+2024-04-29,143.36000061035156
+2024-04-30,139.6300048828125
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+2024-05-02,137.3800048828125
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+2024-05-06,143.25
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+2024-05-10,141.0399932861328
+2024-05-13,140.83999633789062
+2024-05-14,140.8000030517578
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+2024-05-16,142.86000061035156
+2024-05-17,141.9199981689453
+2024-05-20,147.6999969482422
+2024-05-21,150.75
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+2024-06-14,148.5
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+2024-11-11,234.82000732421875
+2024-11-12,237.4199981689453
+2024-11-13,234.25
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+2024-11-15,231.4900054931641
+2024-11-18,231.75999450683597
+2024-11-19,234.6699981689453
+2024-11-20,235.8699951171875
+2024-11-21,237.57000732421875
+2024-11-22,241.4900054931641
+2024-11-25,240.38999938964844
+2024-11-26,244.5
+2024-11-27,241.6199951171875
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+2024-12-02,246.41000366210935
+2024-12-03,245.8999938964844
+2024-12-04,249.7400054931641
+2024-12-05,251.13999938964844
+2024-12-06,258.0899963378906
+2024-12-09,247.13999938964844
+2024-12-10,245.66000366210935
+2024-12-11,245.5200042724609
+2024-12-12,244.1499938964844
+2024-12-13,245.1699981689453
+2024-12-16,243.0
+2024-12-17,242.07000732421875
+2024-12-18,229.52999877929688
+2024-12-19,230.75999450683597
+2024-12-20,238.42999267578125
+",
+US,technical,"Calculate Digital Realty's Skewness from August 27, 2024 to October 03, 2024. Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.6314,easy,risk,Skew(r) = E[(r - \mu)^3] / \sigma^3,"date,close
+2024-08-26,150.58999633789062
+2024-08-27,150.61000061035156
+2024-08-28,150.11000061035156
+2024-08-29,149.5
+2024-08-30,151.61000061035156
+2024-09-03,149.7899932861328
+2024-09-04,149.08999633789062
+2024-09-05,149.91000366210938
+2024-09-06,148.22000122070312
+2024-09-09,149.33999633789062
+2024-09-10,156.75999450683594
+2024-09-11,158.4199981689453
+2024-09-12,160.49000549316406
+2024-09-13,158.92999267578125
+2024-09-16,160.8699951171875
+2024-09-17,157.5800018310547
+2024-09-18,158.25
+2024-09-19,158.89999389648438
+2024-09-20,158.6999969482422
+2024-09-23,160.9600067138672
+2024-09-24,162.1300048828125
+2024-09-25,162.89999389648438
+2024-09-26,162.05999755859375
+2024-09-27,161.16000366210938
+2024-09-30,161.8300018310547
+2024-10-01,160.27000427246094
+2024-10-02,159.60000610351562
+2024-10-03,157.3000030517578
+",
+US,technical,"What is the value of Excess Kurtosis for Aptiv from January 29, 2024 to November 07, 2024? Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",12.4977,easy,risk,Kurt(r) = E[(r - \mu)^4] / \sigma^4 - 3,"date,close
+2024-01-26,86.04000091552734
+2024-01-29,87.44000244140625
+2024-01-30,86.72000122070312
+2024-01-31,81.33000183105469
+2024-02-01,83.5
+2024-02-02,83.5
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+2024-02-08,81.29000091552734
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+2024-02-12,83.77999877929688
+2024-02-13,79.08999633789062
+2024-02-14,79.13999938964844
+2024-02-15,79.41000366210938
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+2024-02-20,77.76000213623047
+2024-02-21,77.62999725341797
+2024-02-22,77.80000305175781
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+2024-02-27,78.83000183105469
+2024-02-28,78.7699966430664
+2024-02-29,79.48999786376953
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+2024-03-05,79.43000030517578
+2024-03-06,78.12999725341797
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+2024-03-08,78.19000244140625
+2024-03-11,78.51000213623047
+2024-03-12,78.70999908447266
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+2024-03-14,76.19999694824219
+2024-03-15,77.23999786376953
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+2024-03-19,77.91999816894531
+2024-03-20,79.01000213623047
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+2024-03-25,79.08999633789062
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+2024-03-27,78.63999938964844
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+2024-04-22,70.0999984741211
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+2024-04-24,71.4000015258789
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+2024-04-26,71.20999908447266
+2024-04-29,72.41000366210938
+2024-04-30,71.0
+2024-05-01,69.75
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+2024-06-20,73.25
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+2024-07-11,71.75
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+2024-07-22,69.93000030517578
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+2024-07-24,67.08000183105469
+2024-07-25,67.83000183105469
+2024-07-26,68.73999786376953
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+2024-07-30,67.62999725341797
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+2024-08-01,73.12999725341797
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+2024-10-10,70.75
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+2024-10-15,70.0
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+2024-10-17,69.9000015258789
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+2024-10-21,70.0999984741211
+2024-10-22,69.68000030517578
+2024-10-23,69.52999877929688
+2024-10-24,68.30999755859375
+2024-10-25,69.30999755859375
+2024-10-28,70.4000015258789
+2024-10-29,69.1500015258789
+2024-10-30,69.06999969482422
+2024-10-31,56.83000183105469
+2024-11-01,56.369998931884766
+2024-11-04,55.93000030517578
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+2024-11-07,55.63999938964844
+",
+US,technical,"From April 01, 2024 to April 13, 2024, what is McCormick & Company's Excess Kurtosis? Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.2936,easy,risk,Kurt(r) = E[(r - \mu)^4] / \sigma^4 - 3,"date,close
+2024-03-28,76.80999755859375
+2024-04-01,76.62000274658203
+2024-04-02,78.2699966430664
+2024-04-03,76.25
+2024-04-04,76.41000366210938
+2024-04-05,75.47000122070312
+2024-04-08,75.62999725341797
+2024-04-09,75.62999725341797
+2024-04-10,74.77999877929688
+2024-04-11,73.41999816894531
+2024-04-12,71.76000213623047
+",
+US,technical,"What was CDW Corporation's Excess Kurtosis during the period June 24, 2024 to February 16, 2025? Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",8.4851,easy,risk,Kurt(r) = E[(r - \mu)^4] / \sigma^4 - 3,"date,close
+2024-06-21,235.4900054931641
+2024-06-24,231.6100006103516
+2024-06-25,224.6199951171875
+2024-06-26,223.1300048828125
+2024-06-27,224.05999755859372
+2024-06-28,223.83999633789065
+2024-07-01,219.19000244140625
+2024-07-02,219.1199951171875
+2024-07-03,218.1100006103516
+2024-07-05,216.3000030517578
+2024-07-08,216.8699951171875
+2024-07-09,214.8000030517578
+2024-07-10,218.8699951171875
+2024-07-11,223.82000732421875
+2024-07-12,228.5
+2024-07-15,232.7700042724609
+2024-07-16,239.83999633789065
+2024-07-17,236.97999572753903
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+",
+US,technical,"For Excess Kurtosis, what is TE Connectivity's value from June 19, 2023 to February 03, 2024? Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",4.2443,easy,risk,Kurt(r) = E[(r - \mu)^4] / \sigma^4 - 3,"date,close
+2023-06-16,135.64999389648438
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+",
+US,technical,"Calculate Edwards Lifesciences's Excess Kurtosis from May 10, 2021 to January 30, 2022. Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.2756,easy,risk,Kurt(r) = E[(r - \mu)^4] / \sigma^4 - 3,"date,close
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+",
+US,technical,"What is the value of Downside Deviation for Synchrony Financial from June 17, 2020 to July 04, 2020? (Default target return is 0; not annualized) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0304,easy,risk,"DD = \sqrt{1 / N * \sum_{t=1}^{N} min(r_t - rf, 0)^2}","date,close
+2020-06-16,25.15999984741211
+2020-06-17,24.75
+2020-06-18,24.25
+2020-06-19,23.770000457763672
+2020-06-22,23.790000915527344
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+2020-06-25,22.75
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+2020-06-30,22.15999984741211
+2020-07-01,21.61000061035156
+2020-07-02,21.86000061035156
+",
+US,technical,"From June 21, 2022 to September 23, 2022, what is Pfizer's Downside Deviation? (Default target return is 0; not annualized) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0109,easy,risk,"DD = \sqrt{1 / N * \sum_{t=1}^{N} min(r_t - rf, 0)^2}","date,close
+2022-06-17,46.52999877929688
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+",
+US,technical,"What was Boston Scientific's Downside Deviation during the period December 11, 2019 to July 26, 2020? (Default target return is 0; not annualized) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0244,easy,risk,"DD = \sqrt{1 / N * \sum_{t=1}^{N} min(r_t - rf, 0)^2}","date,close
+2019-12-10,44.0099983215332
+2019-12-11,43.81999969482422
+2019-12-12,44.66999816894531
+2019-12-13,45.09000015258789
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+",
+US,technical,"For Downside Deviation, what is Dollar General's value from October 15, 2021 to April 01, 2022? (Default target return is 0; not annualized) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0113,easy,risk,"DD = \sqrt{1 / N * \sum_{t=1}^{N} min(r_t - rf, 0)^2}","date,close
+2021-10-14,212.8000030517578
+2021-10-15,212.8000030517578
+2021-10-18,213.6999969482422
+2021-10-19,213.7899932861328
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+2021-11-12,225.0
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+",
+US,technical,"Calculate American Water Works's Downside Deviation from July 31, 2024 to August 20, 2024. (Default target return is 0; not annualized) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0099,easy,risk,"DD = \sqrt{1 / N * \sum_{t=1}^{N} min(r_t - rf, 0)^2}","date,close
+2024-07-30,143.6699981689453
+2024-07-31,142.36000061035156
+2024-08-01,144.5
+2024-08-02,147.35000610351562
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+2024-08-09,142.27999877929688
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+2024-08-13,141.38999938964844
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+2024-08-15,142.02999877929688
+2024-08-16,140.97999572753906
+2024-08-19,141.57000732421875
+2024-08-20,141.27000427246094
+",
+US,technical,"What is the value of Maximum Drawdown for Coinbase from May 12, 2021 to September 22, 2021? (Reported as a positive number; unit: %) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",22.2136,easy,risk,MDD = max_{t} (1 - P_t / max_{s \le t} P_s) * 100%,"date,close
+2021-05-12,283.6099853515625
+2021-05-13,265.1000061035156
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+",
+US,technical,"From November 01, 2024 to November 29, 2024, what is Block's Maximum Drawdown? (Reported as a positive number; unit: %) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",4.4768,easy,risk,MDD = max_{t} (1 - P_t / max_{s \le t} P_s) * 100%,"date,close
+2024-11-01,72.1500015258789
+2024-11-04,72.69000244140625
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+2024-11-06,77.63999938964844
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+",
+US,technical,"What was Amazon's Maximum Drawdown during the period March 03, 2022 to August 31, 2022? (Reported as a positive number; unit: %) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",39.5742,easy,risk,MDD = max_{t} (1 - P_t / max_{s \le t} P_s) * 100%,"date,close
+2022-03-03,147.89849853515625
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+",
+US,technical,"For Maximum Drawdown, what is Salesforce's value from July 18, 2022 to September 25, 2022? (Reported as a positive number; unit: %) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",23.1401,easy,risk,MDD = max_{t} (1 - P_t / max_{s \le t} P_s) * 100%,"date,close
+2022-07-18,167.88999938964844
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+",
+US,technical,"Calculate Monster Beverage's Maximum Drawdown from April 11, 2021 to July 29, 2021. (Reported as a positive number; unit: %) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",9.3332,easy,risk,MDD = max_{t} (1 - P_t / max_{s \le t} P_s) * 100%,"date,close
+2021-04-12,47.709999084472656
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+",
+US,technical,"What is the value of Tracking Error for JPMorgan Chase from December 27, 2021 to September 09, 2022? (Annualized; 252 trading days per year) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.2161,easy,risk,TE = \sigma(r - r_b) * \sqrt{252}; r_b is the benchmark daily return,"date,close,benchmark_close
+2021-12-23,157.25999450683594,4725.7900390625
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+",
+US,technical,"From August 05, 2020 to June 29, 2021, what is F5's Tracking Error? (Annualized; 252 trading days per year) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.2505,easy,risk,TE = \sigma(r - r_b) * \sqrt{252}; r_b is the benchmark daily return,"date,close,benchmark_close
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+US,technical,"What was T. Rowe Price's Tracking Error during the period June 23, 2019 to March 29, 2020? (Annualized; 252 trading days per year) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.2441,easy,risk,TE = \sigma(r - r_b) * \sqrt{252}; r_b is the benchmark daily return,"date,close,benchmark_close
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+US,technical,"For Tracking Error, what is GE Aerospace's value from November 06, 2020 to February 09, 2021? (Annualized; 252 trading days per year) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.3366,easy,risk,TE = \sigma(r - r_b) * \sqrt{252}; r_b is the benchmark daily return,"date,close,benchmark_close
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+US,technical,"Calculate Paycom's Tracking Error from January 03, 2023 to November 17, 2023. (Annualized; 252 trading days per year) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.5276,easy,risk,TE = \sigma(r - r_b) * \sqrt{252}; r_b is the benchmark daily return,"date,close,benchmark_close
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+US,technical,"What is the value of Information Ratio for Walt Disney Company (The) from September 12, 2025 to December 07, 2025? (Annualized (US standard uses arithmetic mean excess return); 252 trading days per year) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-2.6921,easy,risk-adjusted return,IR = E[r - r_b] * 252 / TE; TE = \sigma(r - r_b) * \sqrt{252}; r_b is the benchmark daily return,"date,close,benchmark_close
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+US,technical,"From October 22, 2024 to March 23, 2025, what is Analog Devices's Information Ratio? (Annualized (US standard uses arithmetic mean excess return); 252 trading days per year) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-0.4504,easy,risk-adjusted return,IR = E[r - r_b] * 252 / TE; TE = \sigma(r - r_b) * \sqrt{252}; r_b is the benchmark daily return,"date,close,benchmark_close
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+",
+US,technical,"What was Ingersoll Rand's Information Ratio during the period September 15, 2019 to February 04, 2020? (Annualized (US standard uses arithmetic mean excess return); 252 trading days per year) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.8899,easy,risk-adjusted return,IR = E[r - r_b] * 252 / TE; TE = \sigma(r - r_b) * \sqrt{252}; r_b is the benchmark daily return,"date,close,benchmark_close
+2019-09-13,31.229999542236328,3007.389892578125
+2019-09-16,31.850000381469727,2997.9599609375
+2019-09-17,31.059999465942383,3005.699951171875
+2019-09-18,30.75,3006.72998046875
+2019-09-19,30.030000686645508,3006.7900390625
+2019-09-20,29.5,2992.070068359375
+2019-09-23,29.299999237060547,2991.780029296875
+2019-09-24,28.93000030517578,2966.60009765625
+2019-09-25,29.309999465942383,2984.8701171875
+2019-09-26,29.18000030517578,2977.6201171875
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+2019-10-03,27.82999992370605,2910.6298828125
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+2020-01-10,35.13999938964844,3265.35009765625
+2020-01-13,35.439998626708984,3288.1298828125
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+",
+US,technical,"For Information Ratio, what is Federal Realty Investment Trust's value from June 23, 2021 to July 29, 2021? (Annualized (US standard uses arithmetic mean excess return); 252 trading days per year) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-1.8315,easy,risk-adjusted return,IR = E[r - r_b] * 252 / TE; TE = \sigma(r - r_b) * \sqrt{252}; r_b is the benchmark daily return,"date,close,benchmark_close
+2021-06-22,118.05999755859376,4246.43994140625
+2021-06-23,118.8499984741211,4241.83984375
+2021-06-24,117.75,4266.490234375
+2021-06-25,119.2699966430664,4280.7001953125
+2021-06-28,117.2300033569336,4290.60986328125
+2021-06-29,117.68000030517578,4291.7998046875
+2021-06-30,117.16999816894533,4297.5
+2021-07-01,118.08000183105467,4319.93994140625
+2021-07-02,117.86000061035156,4352.33984375
+2021-07-06,116.83000183105467,4343.5400390625
+2021-07-07,114.5500030517578,4358.1298828125
+2021-07-08,114.4000015258789,4320.81982421875
+2021-07-09,118.0500030517578,4369.5498046875
+2021-07-12,120.33999633789062,4384.6298828125
+2021-07-13,117.43000030517578,4369.2099609375
+2021-07-14,118.2699966430664,4374.2998046875
+2021-07-15,117.48999786376952,4360.02978515625
+2021-07-16,117.1500015258789,4327.16015625
+2021-07-19,112.23999786376952,4258.490234375
+2021-07-20,116.83999633789062,4323.06005859375
+2021-07-21,118.47000122070312,4358.68994140625
+2021-07-22,115.8499984741211,4367.47998046875
+2021-07-23,116.5999984741211,4411.7900390625
+2021-07-26,116.5999984741211,4422.2998046875
+2021-07-27,117.91999816894533,4401.4599609375
+2021-07-28,116.26000213623048,4400.64013671875
+2021-07-29,117.33000183105467,4419.14990234375
+",
+US,technical,"Calculate Jack Henry & Associates's Information Ratio from September 16, 2023 to January 30, 2024. (Annualized (US standard uses arithmetic mean excess return); 252 trading days per year) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-0.0836,easy,risk-adjusted return,IR = E[r - r_b] * 252 / TE; TE = \sigma(r - r_b) * \sqrt{252}; r_b is the benchmark daily return,"date,close,benchmark_close
+2023-09-15,154.49000549316406,4450.31982421875
+2023-09-18,155.19000244140625,4453.52978515625
+2023-09-19,152.69000244140625,4443.9501953125
+2023-09-20,152.8800048828125,4402.2001953125
+2023-09-21,148.61000061035156,4330.0
+2023-09-22,147.88999938964844,4320.06005859375
+2023-09-25,147.74000549316406,4337.43994140625
+2023-09-26,147.5399932861328,4273.52978515625
+2023-09-27,148.44000244140625,4274.509765625
+2023-09-28,151.6699981689453,4299.7001953125
+2023-09-29,151.13999938964844,4288.0498046875
+2023-10-02,149.8699951171875,4288.39013671875
+2023-10-03,146.63999938964844,4229.4501953125
+2023-10-04,147.5,4263.75
+2023-10-05,148.5800018310547,4258.18994140625
+2023-10-06,148.97000122070312,4308.5
+2023-10-09,147.8000030517578,4335.66015625
+2023-10-10,148.82000732421875,4358.240234375
+2023-10-11,147.17999267578125,4376.9501953125
+2023-10-12,144.4600067138672,4349.60986328125
+2023-10-13,145.42999267578125,4327.77978515625
+2023-10-16,147.89999389648438,4373.6298828125
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+2023-10-18,147.0800018310547,4314.60009765625
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+2023-10-20,143.1199951171875,4224.16015625
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+2023-11-21,152.9199981689453,4538.18994140625
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+2023-12-11,164.3800048828125,4622.43994140625
+2023-12-12,166.1199951171875,4643.7001953125
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+2023-12-15,164.36000061035156,4719.18994140625
+2023-12-18,166.27999877929688,4740.56005859375
+2023-12-19,165.25,4768.3701171875
+2023-12-20,162.82000732421875,4698.35009765625
+2023-12-21,163.27000427246094,4746.75
+2023-12-22,165.0800018310547,4754.6298828125
+2023-12-26,165.55999755859375,4774.75
+2023-12-27,163.24000549316406,4781.580078125
+2023-12-28,163.8800048828125,4783.35009765625
+2023-12-29,163.41000366210938,4769.830078125
+2024-01-02,164.66000366210938,4742.830078125
+2024-01-03,163.42999267578125,4704.81005859375
+2024-01-04,166.6699981689453,4688.68017578125
+2024-01-05,166.72000122070312,4697.240234375
+2024-01-08,169.6999969482422,4763.5400390625
+2024-01-09,167.19000244140625,4756.5
+2024-01-10,167.61000061035156,4783.4501953125
+2024-01-11,167.27000427246094,4780.240234375
+2024-01-12,167.58999633789062,4783.830078125
+2024-01-16,165.17999267578125,4765.97998046875
+2024-01-17,165.75999450683594,4739.2099609375
+2024-01-18,165.5399932861328,4780.93994140625
+2024-01-19,166.38999938964844,4839.81005859375
+2024-01-22,168.80999755859375,4850.43017578125
+2024-01-23,168.0500030517578,4864.60009765625
+2024-01-24,166.6300048828125,4868.5498046875
+2024-01-25,168.2899932861328,4894.16015625
+2024-01-26,169.57000732421875,4890.97021484375
+2024-01-29,169.5399932861328,4927.93017578125
+2024-01-30,169.4499969482422,4924.97021484375
+",
+US,technical,"What is the value of Sharpe Ratio for NextEra Energy from October 16, 2024 to October 15, 2025? (Default risk-free rate is 0; annualized (US standard uses arithmetic mean return); 252 trading days per year) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.2688,easy,risk-adjusted return,SR = (AnnRet - rf) / (\sigma(r) * \sqrt{252}),"date,close
+2024-10-15,82.79000091552734
+2024-10-16,84.38999938964844
+2024-10-17,83.77999877929688
+2024-10-18,84.37999725341797
+2024-10-21,84.02999877929688
+2024-10-22,83.69999694824219
+2024-10-23,84.95999908447266
+2024-10-24,82.80999755859375
+2024-10-25,81.43000030517578
+2024-10-28,82.87000274658203
+2024-10-29,79.55999755859375
+2024-10-30,79.08999633789062
+2024-10-31,79.25
+2024-11-01,77.3499984741211
+2024-11-04,78.37000274658203
+2024-11-05,78.6500015258789
+2024-11-06,74.5199966430664
+2024-11-07,74.62000274658203
+2024-11-08,76.97000122070312
+2024-11-11,75.91000366210938
+2024-11-12,74.26000213623047
+2024-11-13,74.23999786376953
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+US,technical,"From September 04, 2021 to March 21, 2022, what is Visa Inc.'s Sharpe Ratio? (Default risk-free rate is 0; annualized (US standard uses arithmetic mean return); 252 trading days per year) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-0.0531,easy,risk-adjusted return,SR = (AnnRet - rf) / (\sigma(r) * \sqrt{252}),"date,close
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+US,technical,"What was Exelon's Sharpe Ratio during the period February 26, 2022 to October 13, 2022? (Default risk-free rate is 0; annualized (US standard uses arithmetic mean return); 252 trading days per year) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-0.6482,easy,risk-adjusted return,SR = (AnnRet - rf) / (\sigma(r) * \sqrt{252}),"date,close
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+2022-07-01,46.06999969482422
+2022-07-05,43.619998931884766
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+2022-09-22,41.68000030517578
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+2022-09-26,40.58000183105469
+2022-09-27,40.150001525878906
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+2022-09-29,37.75
+2022-09-30,37.459999084472656
+2022-10-03,38.47999954223633
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+2022-10-05,38.70000076293945
+2022-10-06,37.7599983215332
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+2022-10-10,37.810001373291016
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+2022-10-12,35.959999084472656
+2022-10-13,37.22999954223633
+",
+US,technical,"For Sharpe Ratio, what is Pool Corporation's value from November 14, 2022 to February 08, 2023? (Default risk-free rate is 0; annualized (US standard uses arithmetic mean return); 252 trading days per year) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.1803,easy,risk-adjusted return,SR = (AnnRet - rf) / (\sigma(r) * \sqrt{252}),"date,close
+2022-11-11,351.3599853515625
+2022-11-14,340.8900146484375
+2022-11-15,346.25
+2022-11-16,337.45001220703125
+2022-11-17,319.6000061035156
+2022-11-18,321.9800109863281
+2022-11-21,320.239990234375
+2022-11-22,326.42999267578125
+2022-11-23,332.3900146484375
+2022-11-25,328.82000732421875
+2022-11-28,315.2300109863281
+2022-11-29,320.75
+2022-11-30,329.4100036621094
+2022-12-01,338.1300048828125
+2022-12-02,330.42999267578125
+2022-12-05,320.1099853515625
+2022-12-06,317.989990234375
+2022-12-07,321.0799865722656
+2022-12-08,329.2300109863281
+2022-12-09,331.010009765625
+2022-12-12,331.1199951171875
+2022-12-13,335.4700012207031
+2022-12-14,334.8099975585937
+2022-12-15,320.0400085449219
+2022-12-16,313.0199890136719
+2022-12-19,308.1400146484375
+2022-12-20,303.7699890136719
+2022-12-21,311.67999267578125
+2022-12-22,305.0799865722656
+2022-12-23,305.6000061035156
+2022-12-27,306.010009765625
+2022-12-28,296.4800109863281
+2022-12-29,306.9200134277344
+2022-12-30,302.3299865722656
+2023-01-03,300.8299865722656
+2023-01-04,304.42999267578125
+2023-01-05,303.0
+2023-01-06,315.3099975585937
+2023-01-09,317.8099975585937
+2023-01-10,325.0599975585937
+2023-01-11,342.8099975585937
+2023-01-12,346.7900085449219
+2023-01-13,349.0899963378906
+2023-01-17,353.9700012207031
+2023-01-18,359.6499938964844
+2023-01-19,344.7799987792969
+2023-01-20,352.739990234375
+2023-01-23,359.2799987792969
+2023-01-24,364.260009765625
+2023-01-25,363.5
+2023-01-26,364.4100036621094
+2023-01-27,379.3900146484375
+2023-01-30,376.4800109863281
+2023-01-31,385.6099853515625
+2023-02-01,398.1400146484375
+2023-02-02,422.1700134277344
+2023-02-03,403.5700073242188
+2023-02-06,392.0400085449219
+2023-02-07,391.8299865722656
+2023-02-08,385.1300048828125
+",
+US,technical,"Calculate Weyerhaeuser's Sharpe Ratio from March 03, 2024 to June 09, 2024. (Default risk-free rate is 0; annualized (US standard uses arithmetic mean return); 252 trading days per year) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-3.2462,easy,risk-adjusted return,SR = (AnnRet - rf) / (\sigma(r) * \sqrt{252}),"date,close
+2024-03-01,34.90999984741211
+2024-03-04,35.36000061035156
+2024-03-05,34.439998626708984
+2024-03-06,34.560001373291016
+2024-03-07,34.369998931884766
+2024-03-08,34.84000015258789
+2024-03-11,35.06999969482422
+2024-03-12,34.470001220703125
+2024-03-13,34.560001373291016
+2024-03-14,34.2599983215332
+2024-03-15,34.33000183105469
+2024-03-18,34.150001525878906
+2024-03-19,34.529998779296875
+2024-03-20,35.310001373291016
+2024-03-21,35.529998779296875
+2024-03-22,35.61000061035156
+2024-03-25,35.4900016784668
+2024-03-26,35.45000076293945
+2024-03-27,35.93000030517578
+2024-03-28,35.90999984741211
+2024-04-01,35.560001373291016
+2024-04-02,35.43000030517578
+2024-04-03,34.939998626708984
+2024-04-04,34.63999938964844
+2024-04-05,34.59000015258789
+2024-04-08,34.41999816894531
+2024-04-09,35.029998779296875
+2024-04-10,33.599998474121094
+2024-04-11,33.650001525878906
+2024-04-12,33.2400016784668
+2024-04-15,32.689998626708984
+2024-04-16,31.96999931335449
+2024-04-17,31.520000457763672
+2024-04-18,31.350000381469727
+2024-04-19,31.46999931335449
+2024-04-22,31.46999931335449
+2024-04-23,31.709999084472656
+2024-04-24,31.540000915527344
+2024-04-25,31.459999084472656
+2024-04-26,31.049999237060547
+2024-04-29,31.18000030517578
+2024-04-30,30.170000076293945
+2024-05-01,30.200000762939453
+2024-05-02,31.01000022888184
+2024-05-03,31.09000015258789
+2024-05-06,31.07999992370605
+2024-05-07,30.850000381469727
+2024-05-08,30.729999542236328
+2024-05-09,31.1299991607666
+2024-05-10,30.96999931335449
+2024-05-13,31.209999084472656
+2024-05-14,31.190000534057617
+2024-05-15,31.36000061035156
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+2024-05-17,31.170000076293945
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+2024-05-21,31.11000061035156
+2024-05-22,30.700000762939453
+2024-05-23,30.11000061035156
+2024-05-24,30.200000762939453
+2024-05-28,29.76000022888184
+2024-05-29,29.36000061035156
+2024-05-30,29.71999931335449
+2024-05-31,30.030000686645508
+2024-06-03,29.709999084472656
+2024-06-04,29.46999931335449
+2024-06-05,29.450000762939453
+2024-06-06,29.76000022888184
+2024-06-07,29.36000061035156
+",
+US,technical,"What is the value of Sortino Ratio for Microchip Technology from May 26, 2023 to February 16, 2024? (Default target return is 0; annualized (US standard uses arithmetic mean return); 252 trading days per year) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.8394,easy,risk-adjusted return,Sortino = (AnnRet - rf) / \sqrt{DD^2 * 252},"date,close
+2023-05-25,74.13999938964844
+2023-05-26,78.31999969482422
+2023-05-30,76.8499984741211
+2023-05-31,75.26000213623047
+2023-06-01,76.66000366210938
+2023-06-02,77.19999694824219
+2023-06-05,75.2699966430664
+2023-06-06,77.5
+2023-06-07,80.98999786376953
+2023-06-08,80.75
+2023-06-09,80.06999969482422
+2023-06-12,82.91999816894531
+2023-06-13,85.70999908447266
+2023-06-14,86.63999938964844
+2023-06-15,85.37000274658203
+2023-06-16,85.48999786376953
+2023-06-20,84.38999938964844
+2023-06-21,82.95999908447266
+2023-06-22,83.12000274658203
+2023-06-23,81.97000122070312
+2023-06-26,82.83999633789062
+2023-06-27,86.77999877929688
+2023-06-28,85.87999725341797
+2023-06-29,86.9800033569336
+2023-06-30,89.58999633789062
+2023-07-03,90.69000244140624
+2023-07-05,88.43000030517578
+2023-07-06,86.88999938964844
+2023-07-07,86.62000274658203
+2023-07-10,88.88999938964844
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+2023-07-12,90.70999908447266
+2023-07-13,92.36000061035156
+2023-07-14,89.72000122070312
+2023-07-17,92.18000030517578
+2023-07-18,93.33999633789062
+2023-07-19,91.7300033569336
+2023-07-20,88.23999786376953
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+2023-09-06,81.05999755859375
+2023-09-07,79.0999984741211
+2023-09-08,78.77999877929688
+2023-09-11,79.45999908447266
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+2023-09-14,80.02999877929688
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+2023-09-19,77.77999877929688
+2023-09-20,76.72000122070312
+2023-09-21,76.08999633789062
+2023-09-22,77.08000183105469
+2023-09-25,77.43000030517578
+2023-09-26,76.05000305175781
+2023-09-27,76.5
+2023-09-28,78.61000061035156
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+2023-10-02,78.37000274658203
+2023-10-03,76.75
+2023-10-04,77.7699966430664
+2023-10-05,77.3499984741211
+2023-10-06,79.54000091552734
+2023-10-09,79.43000030517578
+2023-10-10,80.77999877929688
+2023-10-11,81.2300033569336
+2023-10-12,80.51000213623047
+2023-10-13,77.45999908447266
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+2023-10-17,78.91000366210938
+2023-10-18,77.98999786376953
+2023-10-19,76.79000091552734
+2023-10-20,75.36000061035156
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+2023-10-25,71.37999725341797
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+2023-10-27,72.26000213623047
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+2023-10-31,71.29000091552734
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+2023-11-02,73.5999984741211
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+2023-11-06,75.12000274658203
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+2023-11-10,77.55999755859375
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+2023-11-14,81.27999877929688
+2023-11-15,82.5
+2023-11-16,82.16000366210938
+2023-11-17,83.52999877929688
+2023-11-20,84.70999908447266
+2023-11-21,82.51000213623047
+2023-11-22,82.45999908447266
+2023-11-24,83.26000213623047
+2023-11-27,81.76000213623047
+2023-11-28,81.81999969482422
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+2023-11-30,83.44000244140625
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+2023-12-05,83.55000305175781
+2023-12-06,83.62000274658203
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+2023-12-08,86.08000183105469
+2023-12-11,88.91000366210938
+2023-12-12,89.2300033569336
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+2023-12-14,92.95999908447266
+2023-12-15,92.1999969482422
+2023-12-18,91.30999755859376
+2023-12-19,91.38999938964844
+2023-12-20,88.55000305175781
+2023-12-21,89.87999725341797
+2023-12-22,90.19000244140624
+2023-12-26,91.30999755859376
+2023-12-27,91.12000274658205
+2023-12-28,90.83999633789062
+2023-12-29,90.18000030517578
+2024-01-02,86.55999755859375
+2024-01-03,84.56999969482422
+2024-01-04,83.4000015258789
+2024-01-05,83.98999786376953
+2024-01-08,85.63999938964844
+2024-01-09,85.33999633789062
+2024-01-10,85.44000244140625
+2024-01-11,85.69999694824219
+2024-01-12,85.41000366210938
+2024-01-16,85.16000366210938
+2024-01-17,83.33999633789062
+2024-01-18,86.16000366210938
+2024-01-19,89.44000244140625
+2024-01-22,90.73999786376952
+2024-01-23,91.98999786376952
+2024-01-24,90.55999755859376
+2024-01-25,89.6500015258789
+2024-01-26,86.91999816894531
+2024-01-29,87.2300033569336
+2024-01-30,85.95999908447266
+2024-01-31,85.18000030517578
+2024-02-01,85.6500015258789
+2024-02-02,84.29000091552734
+2024-02-05,85.45999908447266
+2024-02-06,83.25
+2024-02-07,83.30999755859375
+2024-02-08,84.3499984741211
+2024-02-09,85.44000244140625
+2024-02-12,83.94999694824219
+2024-02-13,80.66999816894531
+2024-02-14,80.58000183105469
+2024-02-15,82.51000213623047
+2024-02-16,81.61000061035156
+",
+US,technical,"From March 08, 2022 to December 25, 2022, what is Bank of America's Sortino Ratio? (Default target return is 0; annualized (US standard uses arithmetic mean return); 252 trading days per year) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-0.7299,easy,risk-adjusted return,Sortino = (AnnRet - rf) / \sqrt{DD^2 * 252},"date,close
+2022-03-07,38.34000015258789
+2022-03-08,38.59000015258789
+2022-03-09,41.040000915527344
+2022-03-10,40.66999816894531
+2022-03-11,40.33000183105469
+2022-03-14,41.20000076293945
+2022-03-15,41.5
+2022-03-16,42.79999923706055
+2022-03-17,43.02999877929688
+2022-03-18,42.900001525878906
+2022-03-21,42.84000015258789
+2022-03-22,44.18000030517578
+2022-03-23,43.09000015258789
+2022-03-24,43.06999969482422
+2022-03-25,43.72999954223633
+2022-03-28,43.54999923706055
+2022-03-29,43.43999862670898
+2022-03-30,43.0
+2022-03-31,41.220001220703125
+2022-04-01,40.900001525878906
+2022-04-04,40.83000183105469
+2022-04-05,40.13999938964844
+2022-04-06,39.70000076293945
+2022-04-07,39.38999938964844
+2022-04-08,39.66999816894531
+2022-04-11,39.59000015258789
+2022-04-12,39.16999816894531
+2022-04-13,38.81999969482422
+2022-04-14,37.56999969482422
+2022-04-18,38.84999847412109
+2022-04-19,39.56999969482422
+2022-04-20,39.65999984741211
+2022-04-21,38.90999984741211
+2022-04-22,37.560001373291016
+2022-04-25,37.290000915527344
+2022-04-26,36.45000076293945
+2022-04-27,36.25
+2022-04-28,36.810001373291016
+2022-04-29,35.68000030517578
+2022-05-02,36.13999938964844
+2022-05-03,37.130001068115234
+2022-05-04,38.619998931884766
+2022-05-05,37.540000915527344
+2022-05-06,37.45000076293945
+2022-05-09,36.369998931884766
+2022-05-10,35.7599983215332
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+",
+US,technical,"What was Fox Corporation (Class A)'s Sortino Ratio during the period November 21, 2025 to December 24, 2025? (Default target return is 0; annualized (US standard uses arithmetic mean return); 252 trading days per year) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",15.9825,easy,risk-adjusted return,Sortino = (AnnRet - rf) / \sqrt{DD^2 * 252},"date,close
+2025-11-20,65.13999938964844
+2025-11-21,65.69000244140625
+2025-11-24,64.30000305175781
+2025-11-25,64.7300033569336
+2025-11-26,65.05000305175781
+2025-11-28,65.5
+2025-12-01,66.38999938964844
+2025-12-02,66.25
+2025-12-03,66.44999694824219
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+2025-12-05,68.4000015258789
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+2025-12-10,71.73999786376953
+2025-12-11,71.81999969482422
+2025-12-12,71.0999984741211
+2025-12-15,71.2300033569336
+2025-12-16,70.36000061035156
+2025-12-17,71.16999816894531
+2025-12-18,71.26000213623047
+2025-12-19,71.7699966430664
+2025-12-22,73.62000274658203
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+2025-12-24,73.91000366210938
+",
+US,technical,"For Sortino Ratio, what is Blackstone Inc.'s value from November 26, 2022 to December 06, 2022? (Default target return is 0; annualized (US standard uses arithmetic mean return); 252 trading days per year) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-8.4063,easy,risk-adjusted return,Sortino = (AnnRet - rf) / \sqrt{DD^2 * 252},"date,close
+2022-11-25,90.0
+2022-11-28,88.0999984741211
+2022-11-29,88.20999908447266
+2022-11-30,91.52999877929688
+2022-12-01,85.04000091552734
+2022-12-02,85.16000366210938
+2022-12-05,81.97000122070312
+2022-12-06,78.7300033569336
+",
+US,technical,"Calculate Apollo Global Management's Sortino Ratio from June 10, 2022 to May 20, 2023. (Default target return is 0; annualized (US standard uses arithmetic mean return); 252 trading days per year) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.7022,easy,risk-adjusted return,Sortino = (AnnRet - rf) / \sqrt{DD^2 * 252},"date,close
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+2023-04-14,65.01000213623047
+2023-04-17,65.25
+2023-04-18,65.33999633789062
+2023-04-19,65.80000305175781
+2023-04-20,64.29000091552734
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+2023-04-24,63.29999923706055
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+2023-05-08,61.83000183105469
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+2023-05-12,62.5099983215332
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+",
+US,technical,"What is the value of Calmar Ratio for Evergy from January 28, 2024 to February 29, 2024? (Return annualized (using CAGR); 252 trading days per year) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-3.5603,easy,risk-adjusted return,Calmar = AnnRet / MDD,"date,close
+2024-01-29,50.59999847412109
+2024-01-30,50.68999862670898
+2024-01-31,50.77000045776367
+2024-02-01,51.75
+2024-02-02,50.70000076293945
+2024-02-05,49.66999816894531
+2024-02-06,49.65999984741211
+2024-02-07,49.380001068115234
+2024-02-08,48.619998931884766
+2024-02-09,49.08000183105469
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+2024-02-15,49.93999862670898
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+2024-02-27,50.20000076293945
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+2024-02-29,49.540000915527344
+",
+US,technical,"From January 06, 2022 to October 02, 2022, what is Vulcan Materials Company's Calmar Ratio? (Return annualized (using CAGR); 252 trading days per year) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-0.9936,easy,risk-adjusted return,Calmar = AnnRet / MDD,"date,close
+2022-01-06,209.9499969482422
+2022-01-07,207.9199981689453
+2022-01-10,200.0800018310547
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+2022-01-12,202.8800048828125
+2022-01-13,199.07000732421875
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+",
+US,technical,"What was Everest Group's Calmar Ratio during the period August 18, 2021 to March 14, 2022? (Return annualized (using CAGR); 252 trading days per year) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0229,easy,risk-adjusted return,Calmar = AnnRet / MDD,"date,close
+2021-08-18,271.5799865722656
+2021-08-19,271.42999267578125
+2021-08-20,271.94000244140625
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+2022-01-20,287.1000061035156
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+2022-01-28,280.75
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+",
+US,technical,"For Calmar Ratio, what is NRG Energy's value from November 02, 2021 to August 30, 2022? (Return annualized (using CAGR); 252 trading days per year) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.1968,easy,risk-adjusted return,Calmar = AnnRet / MDD,"date,close
+2021-11-02,39.540000915527344
+2021-11-03,40.0
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+2021-12-03,36.560001373291016
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+",
+US,technical,"Calculate Jacobs Solutions's Calmar Ratio from April 16, 2021 to January 09, 2022. (Return annualized (using CAGR); 252 trading days per year) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.3002,easy,risk-adjusted return,Calmar = AnnRet / MDD,"date,close
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+",
+US,technical,"What is the value of Treynor Ratio for Elevance Health from June 07, 2024 to November 13, 2024? (Default risk-free rate is 0; return annualized (US standard uses arithmetic mean return); 252 trading days per year) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-1.1894,easy,risk-adjusted return,"Treynor = (AnnRet - rf) / \beta; \beta = cov(r, r_m) / var(r_m)","date,close,market_close
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+US,technical,"From January 25, 2021 to December 21, 2021, what is IQVIA's Treynor Ratio? (Default risk-free rate is 0; return annualized (US standard uses arithmetic mean return); 252 trading days per year) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.4596,easy,risk-adjusted return,"Treynor = (AnnRet - rf) / \beta; \beta = cov(r, r_m) / var(r_m)","date,close,market_close
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+US,technical,"What was Verisk Analytics's Treynor Ratio during the period March 14, 2020 to November 23, 2020? (Default risk-free rate is 0; return annualized (US standard uses arithmetic mean return); 252 trading days per year) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.5147,easy,risk-adjusted return,"Treynor = (AnnRet - rf) / \beta; \beta = cov(r, r_m) / var(r_m)","date,close,market_close
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+US,technical,"For Treynor Ratio, what is Parker Hannifin's value from July 20, 2021 to March 24, 2022? (Default risk-free rate is 0; return annualized (US standard uses arithmetic mean return); 252 trading days per year) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0286,easy,risk-adjusted return,"Treynor = (AnnRet - rf) / \beta; \beta = cov(r, r_m) / var(r_m)","date,close,market_close
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+US,technical,"Calculate CrowdStrike's Treynor Ratio from November 09, 2023 to August 29, 2024. (Default risk-free rate is 0; return annualized (US standard uses arithmetic mean return); 252 trading days per year) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.3059,easy,risk-adjusted return,"Treynor = (AnnRet - rf) / \beta; \beta = cov(r, r_m) / var(r_m)","date,close,market_close
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+US,technical,"What is the value of Modigliani Ratio for Xcel Energy from September 12, 2023 to January 18, 2024? (Default risk-free rate is 0; return annualized (US standard uses arithmetic mean return); 252 trading days per year) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0761,easy,risk-adjusted return,M^2 = rf + (AnnRet - rf) / \sigma(r) * \sigma(r_b),"date,close,benchmark_close
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+US,technical,"From June 04, 2023 to March 28, 2024, what is Sysco's Modigliani Ratio? (Default risk-free rate is 0; return annualized (US standard uses arithmetic mean return); 252 trading days per year) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0995,easy,risk-adjusted return,M^2 = rf + (AnnRet - rf) / \sigma(r) * \sigma(r_b),"date,close,benchmark_close
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+",
+US,technical,"For Modigliani Ratio, what is Builders FirstSource's value from December 19, 2022 to January 04, 2023? (Default risk-free rate is 0; return annualized (US standard uses arithmetic mean return); 252 trading days per year) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-0.1545,easy,risk-adjusted return,M^2 = rf + (AnnRet - rf) / \sigma(r) * \sigma(r_b),"date,close,benchmark_close
+2022-12-16,67.54000091552734,3852.360107421875
+2022-12-19,65.5999984741211,3817.659912109375
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+2023-01-04,66.66999816894531,3852.969970703125
+",
+US,technical,"Calculate Essex Property Trust's Modigliani Ratio from June 09, 2024 to December 25, 2024. (Default risk-free rate is 0; return annualized (US standard uses arithmetic mean return); 252 trading days per year) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0965,easy,risk-adjusted return,M^2 = rf + (AnnRet - rf) / \sigma(r) * \sigma(r_b),"date,close,benchmark_close
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+",
+US,technical,"What is the value of Ulcer Index for Kraft Heinz from October 15, 2020 to December 13, 2020? Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0318,easy,risk,UI = \sqrt{1 / N * \sum_{t=1}^{N} (1 - P_t / max_{s \le t} P_s)^2},"date,close
+2020-10-15,32.29999923706055
+2020-10-16,32.15999984741211
+2020-10-19,31.75
+2020-10-20,31.989999771118164
+2020-10-21,31.440000534057617
+2020-10-22,31.229999542236328
+2020-10-23,31.3700008392334
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+2020-10-28,29.21999931335449
+2020-10-29,30.040000915527344
+2020-10-30,30.59000015258789
+2020-11-02,31.670000076293945
+2020-11-03,31.780000686645508
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+2020-11-20,32.2599983215332
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+2020-11-27,32.84000015258789
+2020-11-30,32.939998626708984
+2020-12-01,33.13999938964844
+2020-12-02,32.779998779296875
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+2020-12-10,34.099998474121094
+2020-12-11,34.06999969482422
+",
+US,technical,"From March 21, 2023 to April 01, 2023, what is Microsoft's Ulcer Index? Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0083,easy,risk,UI = \sqrt{1 / N * \sum_{t=1}^{N} (1 - P_t / max_{s \le t} P_s)^2},"date,close
+2023-03-21,273.7799987792969
+2023-03-22,272.2900085449219
+2023-03-23,277.6600036621094
+2023-03-24,280.57000732421875
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+2023-03-29,280.510009765625
+2023-03-30,284.04998779296875
+2023-03-31,288.29998779296875
+",
+US,technical,"What was L3Harris's Ulcer Index during the period June 11, 2025 to November 13, 2025? Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0292,easy,risk,UI = \sqrt{1 / N * \sum_{t=1}^{N} (1 - P_t / max_{s \le t} P_s)^2},"date,close
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+",
+US,technical,"For Ulcer Index, what is Regency Centers's value from November 02, 2022 to May 29, 2023? Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0848,easy,risk,UI = \sqrt{1 / N * \sum_{t=1}^{N} (1 - P_t / max_{s \le t} P_s)^2},"date,close
+2022-11-02,60.5099983215332
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+",
+US,technical,"Calculate Corteva's Ulcer Index from August 03, 2025 to September 12, 2025. Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0187,easy,risk,UI = \sqrt{1 / N * \sum_{t=1}^{N} (1 - P_t / max_{s \le t} P_s)^2},"date,close
+2025-08-04,71.91999816894531
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+2025-08-25,73.5999984741211
+2025-08-26,73.94000244140625
+2025-08-27,75.02999877929688
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+2025-09-11,72.98999786376953
+2025-09-12,74.29000091552734
+",
+US,technical,"What is the value of Martin Ratio for Ralph Lauren Corporation from December 22, 2021 to February 06, 2022? (Numerator and denominator both annualized; 252 trading days per year) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.5443,easy,risk-adjusted return,Martin = AnnRet / \sqrt{UI^2 * 252},"date,close
+2021-12-22,111.5999984741211
+2021-12-23,112.13999938964844
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+2021-12-28,116.75
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+2022-02-03,117.68000030517578
+2022-02-04,118.62999725341795
+",
+US,technical,"From August 01, 2021 to July 05, 2022, what is Generac's Martin Ratio? (Numerator and denominator both annualized; 252 trading days per year) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-0.0854,easy,risk-adjusted return,Martin = AnnRet / \sqrt{UI^2 * 252},"date,close
+2021-08-02,400.0
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+2022-04-13,268.0899963378906
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+2022-04-21,241.0
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+2022-05-11,204.6199951171875
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+2022-05-13,226.4900054931641
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+2022-06-10,261.5
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+",
+US,technical,"What was Trane Technologies's Martin Ratio during the period January 03, 2024 to February 17, 2024? (Numerator and denominator both annualized; 252 trading days per year) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",12.3221,easy,risk-adjusted return,Martin = AnnRet / \sqrt{UI^2 * 252},"date,close
+2024-01-03,235.9600067138672
+2024-01-04,239.69000244140625
+2024-01-05,240.55999755859372
+2024-01-08,243.1300048828125
+2024-01-09,244.4900054931641
+2024-01-10,245.8800048828125
+2024-01-11,245.9900054931641
+2024-01-12,246.1499938964844
+2024-01-16,245.5200042724609
+2024-01-17,244.42999267578125
+2024-01-18,247.3300018310547
+2024-01-19,248.9199981689453
+2024-01-22,252.6300048828125
+2024-01-23,253.1499938964844
+2024-01-24,251.1300048828125
+2024-01-25,252.1199951171875
+2024-01-26,251.50999450683597
+2024-01-29,254.75999450683597
+2024-01-30,257.75
+2024-01-31,252.0500030517578
+2024-02-01,270.739990234375
+2024-02-02,276.7799987792969
+2024-02-05,271.79998779296875
+2024-02-06,270.2300109863281
+2024-02-07,273.42999267578125
+2024-02-08,269.94000244140625
+2024-02-09,275.44000244140625
+2024-02-12,272.0199890136719
+2024-02-13,269.3699951171875
+2024-02-14,272.8099975585937
+2024-02-15,272.9599914550781
+2024-02-16,272.1700134277344
+",
+US,technical,"For Martin Ratio, what is PNC Financial Services's value from October 10, 2019 to February 22, 2020? (Numerator and denominator both annualized; 252 trading days per year) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.6933,easy,risk-adjusted return,Martin = AnnRet / \sqrt{UI^2 * 252},"date,close
+2019-10-10,138.4199981689453
+2019-10-11,140.39999389648438
+2019-10-14,140.52000427246094
+2019-10-15,141.8699951171875
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+2019-10-17,142.66000366210938
+2019-10-18,143.52000427246094
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+2019-10-25,146.6699981689453
+2019-10-28,147.77000427246094
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+2019-10-30,147.75
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+2019-11-21,151.69000244140625
+2019-11-22,152.85000610351562
+2019-11-25,153.39999389648438
+2019-11-26,152.88999938964844
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+2019-11-29,153.2100067138672
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+2019-12-10,155.60000610351562
+2019-12-11,155.0
+2019-12-12,159.0
+2019-12-13,158.63999938964844
+2019-12-16,159.0
+2019-12-17,160.36000061035156
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+2019-12-26,161.14999389648438
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+2020-01-02,160.3699951171875
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+2020-01-15,154.0800018310547
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+",
+US,technical,"Calculate Phillips 66's Martin Ratio from March 09, 2025 to April 16, 2025. (Numerator and denominator both annualized; 252 trading days per year) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-0.3974,easy,risk-adjusted return,Martin = AnnRet / \sqrt{UI^2 * 252},"date,close
+2025-03-10,126.12999725341795
+2025-03-11,123.5500030517578
+2025-03-12,123.9800033569336
+2025-03-13,122.5
+2025-03-14,126.7300033569336
+2025-03-17,129.19000244140625
+2025-03-18,128.41000366210938
+2025-03-19,129.0
+2025-03-20,128.82000732421875
+2025-03-21,125.48999786376952
+2025-03-24,126.47000122070312
+2025-03-25,125.48999786376952
+2025-03-26,126.56999969482422
+2025-03-27,124.72000122070312
+2025-03-28,121.76000213623048
+2025-03-31,123.4800033569336
+2025-04-01,124.3499984741211
+2025-04-02,124.05999755859376
+2025-04-03,107.18000030517578
+2025-04-04,98.80999755859376
+2025-04-07,96.58999633789062
+2025-04-08,92.87000274658205
+2025-04-09,103.12999725341795
+2025-04-10,96.98999786376952
+2025-04-11,97.37999725341795
+2025-04-14,97.81999969482422
+2025-04-15,96.20999908447266
+2025-04-16,96.56999969482422
+",
+US,technical,"What is the value of Beta for Kraft Heinz from February 19, 2022 to May 15, 2022? Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.2203,easy,risk,"\beta = cov(r, r_m) / var(r_m)","date,close,market_close
+2022-02-18,38.459999084472656,4348.8701171875
+2022-02-22,40.400001525878906,4304.759765625
+2022-02-23,40.09999847412109,4225.5
+2022-02-24,38.97999954223633,4288.7001953125
+2022-02-25,39.72999954223633,4384.64990234375
+2022-02-28,39.220001220703125,4373.93994140625
+2022-03-01,38.68000030517578,4306.259765625
+2022-03-02,39.06999969482422,4386.5400390625
+2022-03-03,39.95000076293945,4363.490234375
+2022-03-04,39.84000015258789,4328.8701171875
+2022-03-07,40.150001525878906,4201.08984375
+2022-03-08,38.65999984741211,4170.7001953125
+2022-03-09,38.18000030517578,4277.8798828125
+2022-03-10,37.540000915527344,4259.52001953125
+2022-03-11,37.36000061035156,4204.31005859375
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+2022-03-15,37.81999969482422,4262.4501953125
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+2022-03-18,37.619998931884766,4463.1201171875
+2022-03-21,37.619998931884766,4461.18017578125
+2022-03-22,37.95000076293945,4511.60986328125
+2022-03-23,38.27999877929688,4456.240234375
+2022-03-24,38.630001068115234,4520.16015625
+2022-03-25,39.290000915527344,4543.06005859375
+2022-03-28,39.38999938964844,4575.52001953125
+2022-03-29,39.369998931884766,4631.60009765625
+2022-03-30,39.400001525878906,4602.4501953125
+2022-03-31,39.38999938964844,4530.41015625
+2022-04-01,39.93000030517578,4545.85986328125
+2022-04-04,39.88999938964844,4582.64013671875
+2022-04-05,39.59000015258789,4525.1201171875
+2022-04-06,40.040000915527344,4481.14990234375
+2022-04-07,40.310001373291016,4500.2099609375
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+2022-04-11,41.25,4412.52978515625
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+2022-04-13,42.0,4446.58984375
+2022-04-14,42.290000915527344,4392.58984375
+2022-04-18,42.15999984741211,4391.68994140625
+2022-04-19,42.61000061035156,4462.2099609375
+2022-04-20,43.34999847412109,4459.4501953125
+2022-04-21,44.0,4393.66015625
+2022-04-22,43.18000030517578,4271.77978515625
+2022-04-25,43.040000915527344,4296.1201171875
+2022-04-26,42.310001373291016,4175.2001953125
+2022-04-27,42.880001068115234,4183.9599609375
+2022-04-28,43.61000061035156,4287.5
+2022-04-29,42.630001068115234,4131.93017578125
+2022-05-02,41.97999954223633,4155.3798828125
+2022-05-03,42.380001068115234,4175.47998046875
+2022-05-04,43.31999969482422,4300.169921875
+2022-05-05,43.13999938964844,4146.8701171875
+2022-05-06,43.59000015258789,4123.33984375
+2022-05-09,44.18999862670898,3991.239990234375
+2022-05-10,43.459999084472656,4001.050048828125
+2022-05-11,43.5,3935.179931640625
+2022-05-12,43.04999923706055,3930.080078125
+2022-05-13,44.290000915527344,4023.889892578125
+",
+US,technical,"From December 13, 2020 to February 07, 2021, what is Baker Hughes's Beta? Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.7806,easy,risk,"\beta = cov(r, r_m) / var(r_m)","date,close,market_close
+2020-12-11,22.670000076293945,3663.4599609375
+2020-12-14,21.68000030517578,3647.489990234375
+2020-12-15,22.01000022888184,3694.6201171875
+2020-12-16,21.5,3701.169921875
+2020-12-17,21.5,3722.47998046875
+2020-12-18,21.170000076293945,3709.409912109375
+2020-12-21,21.25,3694.919921875
+2020-12-22,21.190000534057617,3687.260009765625
+2020-12-23,21.1299991607666,3690.010009765625
+2020-12-24,21.01000022888184,3703.06005859375
+2020-12-28,20.8799991607666,3735.360107421875
+2020-12-29,20.75,3727.0400390625
+2020-12-30,21.209999084472656,3732.0400390625
+2020-12-31,20.850000381469727,3756.070068359375
+2021-01-04,21.020000457763672,3700.64990234375
+2021-01-05,21.26000022888184,3726.860107421875
+2021-01-06,22.15999984741211,3748.139892578125
+2021-01-07,22.670000076293945,3803.7900390625
+2021-01-08,22.46999931335449,3824.679931640625
+2021-01-11,22.649999618530277,3799.610107421875
+2021-01-12,23.040000915527344,3801.18994140625
+2021-01-13,23.0,3809.840087890625
+2021-01-14,23.709999084472656,3795.5400390625
+2021-01-15,22.8700008392334,3768.25
+2021-01-19,22.8700008392334,3798.909912109375
+2021-01-20,22.88999938964844,3851.85009765625
+2021-01-21,22.549999237060547,3853.070068359375
+2021-01-22,22.170000076293945,3841.469970703125
+2021-01-25,21.049999237060547,3855.360107421875
+2021-01-26,20.61000061035156,3849.6201171875
+2021-01-27,20.40999984741211,3750.77001953125
+2021-01-28,20.600000381469727,3787.3798828125
+2021-01-29,20.09000015258789,3714.239990234375
+2021-02-01,20.309999465942383,3773.860107421875
+2021-02-02,20.38999938964844,3826.31005859375
+2021-02-03,21.399999618530277,3830.169921875
+2021-02-04,22.36000061035156,3871.739990234375
+2021-02-05,22.07999992370605,3886.830078125
+",
+US,technical,"What was Williams-Sonoma's Beta during the period April 14, 2025 to June 25, 2025? Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.6741,easy,risk,"\beta = cov(r, r_m) / var(r_m)","date,close,market_close
+2025-04-11,148.25,5363.35986328125
+2025-04-14,145.25999450683594,5405.97021484375
+2025-04-15,142.89999389648438,5396.6298828125
+2025-04-16,137.6199951171875,5275.7001953125
+2025-04-17,139.2100067138672,5282.7001953125
+2025-04-21,137.8699951171875,5158.2001953125
+2025-04-22,141.92999267578125,5287.759765625
+2025-04-23,145.8800048828125,5375.85986328125
+2025-04-24,151.39999389648438,5484.77001953125
+2025-04-25,151.19000244140625,5525.2099609375
+2025-04-28,152.5399932861328,5528.75
+2025-04-29,153.39999389648438,5560.830078125
+2025-04-30,154.47000122070312,5569.06005859375
+2025-05-01,155.82000732421875,5604.14013671875
+2025-05-02,160.55999755859375,5686.669921875
+2025-05-05,158.38999938964844,5650.3798828125
+2025-05-06,154.41000366210938,5606.91015625
+2025-05-07,157.63999938964844,5631.27978515625
+2025-05-08,160.88999938964844,5663.93994140625
+2025-05-09,160.30999755859375,5659.91015625
+2025-05-12,173.8000030517578,5844.18994140625
+2025-05-13,174.44000244140625,5886.5498046875
+2025-05-14,171.6199951171875,5892.580078125
+2025-05-15,171.6699981689453,5916.93017578125
+2025-05-16,173.83999633789062,5958.3798828125
+2025-05-19,174.27999877929688,5963.60009765625
+2025-05-20,172.52000427246094,5940.4599609375
+2025-05-21,167.9199981689453,5844.60986328125
+2025-05-22,160.38999938964844,5842.009765625
+2025-05-23,157.85000610351562,5802.81982421875
+2025-05-27,166.8300018310547,5921.5400390625
+2025-05-28,164.50999450683594,5888.5498046875
+2025-05-29,164.50999450683594,5912.169921875
+2025-05-30,161.75999450683594,5911.68994140625
+2025-06-02,158.22000122070312,5935.93994140625
+2025-06-03,161.5399932861328,5970.3701171875
+2025-06-04,159.97000122070312,5970.81005859375
+2025-06-05,157.97999572753906,5939.2998046875
+2025-06-06,157.8000030517578,6000.35986328125
+2025-06-09,156.74000549316406,6005.8798828125
+2025-06-10,158.10000610351562,6038.81005859375
+2025-06-11,155.5800018310547,6022.240234375
+2025-06-12,154.80999755859375,6045.259765625
+2025-06-13,153.9600067138672,5976.97021484375
+2025-06-16,158.14999389648438,6033.10986328125
+2025-06-17,156.92999267578125,5982.72021484375
+2025-06-18,160.44000244140625,5980.8701171875
+2025-06-20,158.83999633789062,5967.83984375
+2025-06-23,157.88999938964844,6025.169921875
+2025-06-24,157.8800048828125,6092.18017578125
+2025-06-25,158.89999389648438,6092.16015625
+",
+US,technical,"For Beta, what is Diamondback Energy's value from December 14, 2021 to September 13, 2022? Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.748,easy,risk,"\beta = cov(r, r_m) / var(r_m)","date,close,market_close
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+",
+US,technical,"Calculate Phillips 66's Beta from April 04, 2025 to August 28, 2025. Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.2573,easy,risk,"\beta = cov(r, r_m) / var(r_m)","date,close,market_close
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+2025-04-14,97.81999969482422,5405.97021484375
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+2025-08-22,129.94000244140625,6466.91015625
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+",
+US,technical,"What is the value of Jensen's Alpha for Northrop Grumman from October 28, 2022 to April 13, 2023? (Default risk-free rate is 0; return annualized (US standard uses arithmetic mean return); 252 trading days per year) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-0.2693,easy,risk-adjusted return,"\alpha = AnnRet - [rf + \beta * (AnnRet_m - rf)]; \beta = cov(r, r_m) / var(r_m)","date,close,market_close
+2022-10-27,535.510009765625,3807.300048828125
+2022-10-28,548.1099853515625,3901.06005859375
+2022-10-31,549.010009765625,3871.97998046875
+2022-11-01,535.8800048828125,3856.10009765625
+2022-11-02,530.2999877929688,3759.68994140625
+2022-11-03,525.510009765625,3719.889892578125
+2022-11-04,522.77001953125,3770.550048828125
+2022-11-07,534.77001953125,3806.800048828125
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+US,technical,"From January 30, 2025 to February 20, 2025, what is Intuit's Jensen's Alpha? (Default risk-free rate is 0; return annualized (US standard uses arithmetic mean return); 252 trading days per year) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-0.6166,easy,risk-adjusted return,"\alpha = AnnRet - [rf + \beta * (AnnRet_m - rf)]; \beta = cov(r, r_m) / var(r_m)","date,close,market_close
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+US,technical,"What was Cintas's Jensen's Alpha during the period November 22, 2019 to February 05, 2020? (Default risk-free rate is 0; return annualized (US standard uses arithmetic mean return); 252 trading days per year) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.3983,easy,risk-adjusted return,"\alpha = AnnRet - [rf + \beta * (AnnRet_m - rf)]; \beta = cov(r, r_m) / var(r_m)","date,close,market_close
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+US,technical,"For Jensen's Alpha, what is CVS Health's value from March 02, 2022 to February 06, 2023? (Default risk-free rate is 0; return annualized (US standard uses arithmetic mean return); 252 trading days per year) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-0.1468,easy,risk-adjusted return,"\alpha = AnnRet - [rf + \beta * (AnnRet_m - rf)]; \beta = cov(r, r_m) / var(r_m)","date,close,market_close
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+US,technical,"Calculate eBay Inc.'s Jensen's Alpha from August 27, 2025 to December 11, 2025. (Default risk-free rate is 0; return annualized (US standard uses arithmetic mean return); 252 trading days per year) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",-0.581,easy,risk-adjusted return,"\alpha = AnnRet - [rf + \beta * (AnnRet_m - rf)]; \beta = cov(r, r_m) / var(r_m)","date,close,market_close
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+US,technical,"What is the value of VaR (Parametric) for Vici Properties from September 30, 2024 to January 27, 2025? (1-day VaR; loss expressed as a positive number; assumes normality; default confidence 95%) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0216,easy,risk,VaR_c = \Phi^{-1}(c) * \sigma(r) - \mu(r),"date,close
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+",
+US,technical,"From May 21, 2023 to October 03, 2023, what is Cisco's VaR (Parametric)? (1-day VaR; loss expressed as a positive number; assumes normality; default confidence 95%) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0166,easy,risk,VaR_c = \Phi^{-1}(c) * \sigma(r) - \mu(r),"date,close
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+US,technical,"What was Lilly (Eli)'s VaR (Parametric) during the period June 11, 2023 to May 21, 2024? (1-day VaR; loss expressed as a positive number; assumes normality; default confidence 95%) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.029,easy,risk,VaR_c = \Phi^{-1}(c) * \sigma(r) - \mu(r),"date,close
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+US,technical,"For VaR (Parametric), what is Otis Worldwide's value from May 28, 2020 to February 23, 2021? (1-day VaR; loss expressed as a positive number; assumes normality; default confidence 95%) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0261,easy,risk,VaR_c = \Phi^{-1}(c) * \sigma(r) - \mu(r),"date,close
+2020-05-27,52.380001068115234
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+",
+US,technical,"Calculate Williams Companies's VaR (Parametric) from December 04, 2021 to December 23, 2021. (1-day VaR; loss expressed as a positive number; assumes normality; default confidence 95%) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0269,easy,risk,VaR_c = \Phi^{-1}(c) * \sigma(r) - \mu(r),"date,close
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+",
+US,technical,"What is the value of VaR (Historical Simulation) for Devon Energy from June 11, 2019 to January 14, 2020? (1-day VaR; loss expressed as a positive number; default confidence 95%) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0439,easy,risk,VaR_c = -Q_{1-c}(r); Q_p is the p-th quantile,"date,close
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+",
+US,technical,"From December 22, 2020 to August 05, 2021, what is Baker Hughes's VaR (Historical Simulation)? (1-day VaR; loss expressed as a positive number; default confidence 95%) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0387,easy,risk,VaR_c = -Q_{1-c}(r); Q_p is the p-th quantile,"date,close
+2020-12-21,21.25
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+",
+US,technical,"What was Viatris's VaR (Historical Simulation) during the period November 14, 2023 to August 06, 2024? (1-day VaR; loss expressed as a positive number; default confidence 95%) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0225,easy,risk,VaR_c = -Q_{1-c}(r); Q_p is the p-th quantile,"date,close
+2023-11-13,8.949999809265137
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+2024-07-15,11.0
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+2024-07-23,11.5
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+",
+US,technical,"For VaR (Historical Simulation), what is Hartford (The)'s value from April 28, 2022 to November 14, 2022? (1-day VaR; loss expressed as a positive number; default confidence 95%) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0281,easy,risk,VaR_c = -Q_{1-c}(r); Q_p is the p-th quantile,"date,close
+2022-04-27,69.98999786376953
+2022-04-28,71.2699966430664
+2022-04-29,69.93000030517578
+2022-05-02,70.0999984741211
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+2022-05-05,72.01000213623047
+2022-05-06,72.11000061035156
+2022-05-09,70.80000305175781
+2022-05-10,70.0199966430664
+2022-05-11,69.80000305175781
+2022-05-12,69.0999984741211
+2022-05-13,69.55000305175781
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+2022-05-19,67.44000244140625
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+2022-05-23,68.62999725341797
+2022-05-24,68.94999694824219
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+2022-06-01,71.27999877929688
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+2022-06-09,69.77999877929688
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+2022-06-13,66.08999633789062
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+2022-09-06,65.0
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+2022-09-12,67.80000305175781
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+2022-11-01,73.73999786376953
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+2022-11-09,71.91000366210938
+2022-11-10,74.30000305175781
+2022-11-11,73.62999725341797
+2022-11-14,72.30999755859375
+",
+US,technical,"Calculate Clorox's VaR (Historical Simulation) from October 29, 2021 to February 11, 2022. (1-day VaR; loss expressed as a positive number; default confidence 95%) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0303,easy,risk,VaR_c = -Q_{1-c}(r); Q_p is the p-th quantile,"date,close
+2021-10-28,161.86000061035156
+2021-10-29,163.00999450683594
+2021-11-01,163.39999389648438
+2021-11-02,165.38999938964844
+2021-11-03,165.36000061035156
+2021-11-04,164.44000244140625
+2021-11-05,163.25999450683594
+2021-11-08,164.27000427246094
+2021-11-09,166.14999389648438
+2021-11-10,165.44000244140625
+2021-11-11,165.94000244140625
+2021-11-12,166.0399932861328
+2021-11-15,169.8800048828125
+2021-11-16,169.91000366210938
+2021-11-17,169.25
+2021-11-18,165.77000427246094
+2021-11-19,166.97999572753906
+2021-11-22,167.61000061035156
+2021-11-23,168.83999633789062
+2021-11-24,168.07000732421875
+2021-11-26,174.2100067138672
+2021-11-29,169.16000366210938
+2021-11-30,162.85000610351562
+2021-12-01,165.75999450683594
+2021-12-02,166.47000122070312
+2021-12-03,168.16000366210938
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+2021-12-10,168.52999877929688
+2021-12-13,172.0800018310547
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+2021-12-15,176.1300048828125
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+2021-12-21,171.16000366210938
+2021-12-22,170.77000427246094
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+2022-01-14,186.6000061035156
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+2022-01-28,166.94000244140625
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+2022-02-09,142.8300018310547
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+2022-02-11,144.0399932861328
+",
+US,technical,"What is the value of Expected Shortfall (Parametric) for Trade Desk (The) from December 22, 2021 to August 01, 2022? (1-day ES; assumes normality; default confidence 95%) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.1166,easy,risk,ES_c = \phi(\Phi^{-1}(c)) / (1 - c) * \sigma(r) - \mu(r),"date,close
+2021-12-21,93.52999877929688
+2021-12-22,93.48999786376952
+2021-12-23,96.0500030517578
+2021-12-27,97.68000030517578
+2021-12-28,94.79000091552734
+2021-12-29,92.56999969482422
+2021-12-30,94.2699966430664
+2021-12-31,91.63999938964844
+2022-01-03,90.11000061035156
+2022-01-04,85.36000061035156
+2022-01-05,79.63999938964844
+2022-01-06,76.93000030517578
+2022-01-07,78.94000244140625
+2022-01-10,81.0
+2022-01-11,84.87999725341797
+2022-01-12,82.38999938964844
+2022-01-13,75.76000213623047
+2022-01-14,75.47000122070312
+2022-01-18,71.0
+2022-01-19,69.0
+2022-01-20,67.7300033569336
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+2022-01-28,63.59999847412109
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+2022-04-28,60.79999923706055
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+2022-05-03,60.29999923706055
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+2022-05-12,44.84000015258789
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+2022-06-13,45.58000183105469
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+2022-06-29,43.34000015258789
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+2022-07-01,41.65999984741211
+2022-07-05,44.290000915527344
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+2022-07-07,45.52999877929688
+2022-07-08,45.630001068115234
+2022-07-11,43.5099983215332
+2022-07-12,45.150001525878906
+2022-07-13,44.15999984741211
+2022-07-14,41.209999084472656
+2022-07-15,43.09999847412109
+2022-07-18,43.619998931884766
+2022-07-19,46.02000045776367
+2022-07-20,49.77999877929688
+2022-07-21,50.9900016784668
+2022-07-22,47.27000045776367
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+2022-07-26,42.72999954223633
+2022-07-27,46.630001068115234
+2022-07-28,47.130001068115234
+2022-07-29,45.0
+2022-08-01,45.43000030517578
+",
+US,technical,"From April 07, 2022 to July 29, 2022, what is Brown & Brown's Expected Shortfall (Parametric)? (1-day ES; assumes normality; default confidence 95%) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0433,easy,risk,ES_c = \phi(\Phi^{-1}(c)) / (1 - c) * \sigma(r) - \mu(r),"date,close
+2022-04-06,72.87999725341797
+2022-04-07,73.4000015258789
+2022-04-08,72.95999908447266
+2022-04-11,72.51000213623047
+2022-04-12,71.94000244140625
+2022-04-13,71.8499984741211
+2022-04-14,71.26000213623047
+2022-04-18,69.91999816894531
+2022-04-19,70.16000366210938
+2022-04-20,71.05999755859375
+2022-04-21,70.68000030517578
+2022-04-22,67.7300033569336
+2022-04-25,68.44999694824219
+2022-04-26,65.68000030517578
+2022-04-27,64.70999908447266
+2022-04-28,65.7699966430664
+2022-04-29,61.97999954223633
+2022-05-02,60.08000183105469
+2022-05-03,59.959999084472656
+2022-05-04,61.5099983215332
+2022-05-05,58.959999084472656
+2022-05-06,58.2400016784668
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+US,technical,"What was KLA Corporation's Expected Shortfall (Parametric) during the period October 11, 2024 to August 04, 2025? (1-day ES; assumes normality; default confidence 95%) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0577,easy,risk,ES_c = \phi(\Phi^{-1}(c)) / (1 - c) * \sigma(r) - \mu(r),"date,close
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+US,technical,"For Expected Shortfall (Parametric), what is Skyworks Solutions's value from October 22, 2023 to July 30, 2024? (1-day ES; assumes normality; default confidence 95%) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0431,easy,risk,ES_c = \phi(\Phi^{-1}(c)) / (1 - c) * \sigma(r) - \mu(r),"date,close
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+US,technical,"Calculate Fox Corporation (Class B)'s Expected Shortfall (Parametric) from June 06, 2024 to April 18, 2025. (1-day ES; assumes normality; default confidence 95%) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0328,easy,risk,ES_c = \phi(\Phi^{-1}(c)) / (1 - c) * \sigma(r) - \mu(r),"date,close
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+",
+US,technical,"What is the value of Expected Shortfall (Historical Simulation) for Weyerhaeuser from April 29, 2019 to March 19, 2020? (1-day ES; default confidence 95%) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0834,easy,risk,ES_c = -E[r | r \le Q_{1-c}(r)],"date,close
+2019-04-26,27.3700008392334
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+",
+US,technical,"From April 01, 2021 to December 21, 2021, what is Paramount Skydance Corporation's Expected Shortfall (Historical Simulation)? (1-day ES; default confidence 95%) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0418,easy,risk,ES_c = -E[r | r \le Q_{1-c}(r)],"date,close
+2021-03-31,45.09999847412109
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+US,technical,"What was Targa Resources's Expected Shortfall (Historical Simulation) during the period February 19, 2020 to March 31, 2020? (1-day ES; default confidence 95%) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.4365,easy,risk,ES_c = -E[r | r \le Q_{1-c}(r)],"date,close
+2020-02-18,36.86000061035156
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+",
+US,technical,"For Expected Shortfall (Historical Simulation), what is T-Mobile US's value from March 17, 2023 to January 26, 2024? (1-day ES; default confidence 95%) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0277,easy,risk,ES_c = -E[r | r \le Q_{1-c}(r)],"date,close
+2023-03-16,141.50999450683594
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+US,technical,"Calculate Intercontinental Exchange's Expected Shortfall (Historical Simulation) from November 20, 2023 to June 09, 2024. (1-day ES; default confidence 95%) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0172,easy,risk,ES_c = -E[r | r \le Q_{1-c}(r)],"date,close
+2023-11-17,111.4000015258789
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+US,technical,"What is the percentage of days with long alignment for the 10, 20, 30-day Simple Moving Average lines for Mondelez International from January 08, 2020 to October 29, 2020? (Unit: %) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",41.7476,hard,moving average,SMA_n = 1 / n * \sum_{i=0}^{n-1} P_{t-i},"date,close,low,open
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+US,technical,"From August 30, 2022 to June 22, 2023, what proportion of days had the 10, 20, 30-day Simple Moving Average lines of EQT Corporation in long alignment? (Unit: %) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",27.451,hard,moving average,SMA_n = 1 / n * \sum_{i=0}^{n-1} P_{t-i},"date,close,low,open
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+US,technical,"During August 29, 2023 to March 27, 2024, what percentage of trading days showed short alignment of Leidos's 5, 10, 20-day Simple Moving Average lines? Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",14.3836,hard,moving average,SMA_n = 1 / n * \sum_{i=0}^{n-1} P_{t-i},"date,close,low,open
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+US,technical,"For Costco from July 28, 2022 to August 13, 2022, what percentage of days were the 10, 20, 30-day Simple Moving Average lines in short alignment? (Unit: %) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0,hard,moving average,SMA_n = 1 / n * \sum_{i=0}^{n-1} P_{t-i},"date,close,low,open
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+","date,10-day,20-day,30-day
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+"
+US,technical,"Calculate the percentage of days with long alignment in the 5, 10, 20-day Simple Moving Average lines for Arch Capital Group from December 09, 2021 to April 16, 2022. Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",48.8636,hard,moving average,SMA_n = 1 / n * \sum_{i=0}^{n-1} P_{t-i},"date,close,low,open
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+US,technical,"What is the percentage of days with long alignment for the 5, 20, 60-day Weighted Moving Average lines for Travelers Companies (The) from January 21, 2025 to June 13, 2025? (Unit: %) (Weights are 1, 2, ..., n) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",55.4455,hard,moving average,WMA_n = \sum_{i=0}^{n-1} (n-i) * P_{t-i} / \sum_{j=1}^{n} j,"date,close,open,low,high
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+US,technical,"From May 01, 2023 to May 13, 2023, what proportion of days had the 5, 20, 60-day Weighted Moving Average lines of Texas Pacific Land Corporation in short alignment? (Unit: %) (Weights are 1, 2, ..., n) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",100.0,hard,moving average,WMA_n = \sum_{i=0}^{n-1} (n-i) * P_{t-i} / \sum_{j=1}^{n} j,"date,close,open,low,high
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+US,technical,"During May 28, 2024 to November 16, 2024, what percentage of trading days showed long alignment of Jack Henry & Associates's 5, 10, 20-day Weighted Moving Average lines? (Weights are 1, 2, ..., n) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",40.4959,hard,moving average,WMA_n = \sum_{i=0}^{n-1} (n-i) * P_{t-i} / \sum_{j=1}^{n} j,"date,close,open,low,high
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+US,technical,"For Vici Properties from May 31, 2020 to December 31, 2020, what percentage of days were the 10, 20, 30-day Weighted Moving Average lines in long alignment? (Unit: %) (Weights are 1, 2, ..., n) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",55.3333,hard,moving average,WMA_n = \sum_{i=0}^{n-1} (n-i) * P_{t-i} / \sum_{j=1}^{n} j,"date,close,open,low,high
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+"
+US,technical,"Calculate the percentage of days with short alignment in the 10, 20, 30-day Weighted Moving Average lines for Cognizant from September 11, 2024 to August 08, 2025. (Weights are 1, 2, ..., n) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",44.2982,hard,moving average,WMA_n = \sum_{i=0}^{n-1} (n-i) * P_{t-i} / \sum_{j=1}^{n} j,"date,close,open,low,high
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+US,technical,"What is the percentage of days with long alignment for the 5, 10, 20-day Exponential Moving Average lines for Ross Stores from October 16, 2022 to July 31, 2023? (Unit: %) (Smoothing factor alpha = 2 / (n + 1); Require 4n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",50.7752,hard,moving average,"EMA_t = \alpha * P_t + (1 - \alpha) * EMA_{t-1}, \quad \alpha = 2 / (n + 1)","date,close,high,open
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+US,technical,"From September 20, 2022 to October 06, 2022, what proportion of days had the 5, 10, 20-day Exponential Moving Average lines of Welltower in short alignment? (Unit: %) (Smoothing factor alpha = 2 / (n + 1); Require 4n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",71.6216,hard,moving average,"EMA_t = \alpha * P_t + (1 - \alpha) * EMA_{t-1}, \quad \alpha = 2 / (n + 1)","date,close,high,open
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+US,technical,"During March 02, 2025 to July 08, 2025, what percentage of trading days showed long alignment of Intercontinental Exchange's 5, 20, 60-day Exponential Moving Average lines? (Smoothing factor alpha = 2 / (n + 1); Require 4n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",68.7732,hard,moving average,"EMA_t = \alpha * P_t + (1 - \alpha) * EMA_{t-1}, \quad \alpha = 2 / (n + 1)","date,close,high,open
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+US,technical,"For Cigna from May 06, 2022 to November 30, 2022, what percentage of days were the 5, 20, 60-day Exponential Moving Average lines in short alignment? (Unit: %) (Smoothing factor alpha = 2 / (n + 1); Require 4n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",15.0769,hard,moving average,"EMA_t = \alpha * P_t + (1 - \alpha) * EMA_{t-1}, \quad \alpha = 2 / (n + 1)","date,close,high,open
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+US,technical,"Calculate the percentage of days with long alignment in the 10, 20, 30-day Exponential Moving Average lines for American Water Works from July 15, 2022 to May 29, 2023. (Smoothing factor alpha = 2 / (n + 1); Require 4n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",42.9032,hard,moving average,"EMA_t = \alpha * P_t + (1 - \alpha) * EMA_{t-1}, \quad \alpha = 2 / (n + 1)","date,close,high,open
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+US,technical,"What is the percentage of days with long alignment for the 5, 20, 60-day Double Exponential Moving Average lines for Labcorp from October 31, 2022 to May 26, 2023? (Unit: %) (Smoothing factor alpha = 2 / (n + 1); Require 5n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",30.0613,hard,moving average,DEMA = 2 * EMA1 - EMA2; EMA1 = EMA_n(P); EMA2 = EMA_n(EMA1),"date,close,high,open
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+US,technical,"From July 23, 2022 to February 06, 2023, what proportion of days had the 5, 10, 20-day Double Exponential Moving Average lines of Caterpillar Inc. in long alignment? (Unit: %) (Smoothing factor alpha = 2 / (n + 1); Require 5n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",33.8384,hard,moving average,DEMA = 2 * EMA1 - EMA2; EMA1 = EMA_n(P); EMA2 = EMA_n(EMA1),"date,close,high,open
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+US,technical,"During October 30, 2020 to January 16, 2021, what percentage of trading days showed long alignment of Garmin's 10, 20, 30-day Double Exponential Moving Average lines? (Smoothing factor alpha = 2 / (n + 1); Require 5n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",19.3103,hard,moving average,DEMA = 2 * EMA1 - EMA2; EMA1 = EMA_n(P); EMA2 = EMA_n(EMA1),"date,close,high,open
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+US,technical,"Calculate the percentage of days with short alignment in the 5, 20, 60-day Double Exponential Moving Average lines for Progressive Corporation from February 26, 2022 to July 03, 2022. (Smoothing factor alpha = 2 / (n + 1); Require 5n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",30.1115,hard,moving average,DEMA = 2 * EMA1 - EMA2; EMA1 = EMA_n(P); EMA2 = EMA_n(EMA1),"date,close,high,open
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+US,technical,"What is the percentage of days with long alignment for the 5, 20, 60-day Triple Exponential Moving Average lines for Teledyne Technologies from October 25, 2019 to October 09, 2020? (Unit: %) (Smoothing factor alpha = 2 / (n + 1); Require 6n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",23.5294,hard,moving average,TEMA = 3 * EMA1 - 3 * EMA2 + EMA3; EMA1 = EMA_n(P); EMA2 = EMA_n(EMA1); EMA3 = EMA_n(EMA2),"date,close,open
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+US,technical,"From November 29, 2022 to May 27, 2023, what proportion of days had the 5, 10, 20-day Triple Exponential Moving Average lines of PTC Inc. in short alignment? (Unit: %) (Smoothing factor alpha = 2 / (n + 1); Require 6n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",28.3422,hard,moving average,TEMA = 3 * EMA1 - 3 * EMA2 + EMA3; EMA1 = EMA_n(P); EMA2 = EMA_n(EMA1); EMA3 = EMA_n(EMA2),"date,close,open
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+US,technical,"During April 12, 2023 to December 25, 2023, what percentage of trading days showed long alignment of PPL Corporation's 10, 20, 30-day Triple Exponential Moving Average lines? (Smoothing factor alpha = 2 / (n + 1); Require 6n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",30.2583,hard,moving average,TEMA = 3 * EMA1 - 3 * EMA2 + EMA3; EMA1 = EMA_n(P); EMA2 = EMA_n(EMA1); EMA3 = EMA_n(EMA2),"date,close,open
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+US,technical,"For Smurfit Westrock from March 13, 2022 to April 14, 2022, what percentage of days were the 5, 20, 60-day Triple Exponential Moving Average lines in short alignment? (Unit: %) (Smoothing factor alpha = 2 / (n + 1); Require 6n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",22.7053,hard,moving average,TEMA = 3 * EMA1 - 3 * EMA2 + EMA3; EMA1 = EMA_n(P); EMA2 = EMA_n(EMA1); EMA3 = EMA_n(EMA2),"date,close,open
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+US,technical,"Calculate the percentage of days with short alignment in the 5, 20, 60-day Triple Exponential Moving Average lines for Paccar from April 27, 2022 to June 17, 2022. (Smoothing factor alpha = 2 / (n + 1); Require 6n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",20.9091,hard,moving average,TEMA = 3 * EMA1 - 3 * EMA2 + EMA3; EMA1 = EMA_n(P); EMA2 = EMA_n(EMA1); EMA3 = EMA_n(EMA2),"date,close,open
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+US,technical,"What is the percentage of days with short alignment for the 5, 10, 20-day Hull Moving Average lines for American Water Works from November 14, 2021 to May 16, 2022? (Unit: %) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",31.3433,hard,moving average,HMA = WMA_{\sqrt{n}}(2 * WMA_{n/2}(P) - WMA_n(P)),"date,close,high,open
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+2022-05-06,148.4284417046441,147.73063482419408,148.4329585556757
+2022-05-09,146.27021484374998,146.91717828307486,146.9809064037769
+2022-05-10,143.2153313530816,145.5146230832495,145.4107523362461
+2022-05-11,142.40088704427083,143.9902892758148,143.99316956160905
+2022-05-12,144.4166690402561,143.45141284056385,142.98504697791424
+2022-05-13,146.54489067925348,143.82642372208414,142.55656676057097
+2022-05-16,146.79533250596788,144.60173799148714,142.54652649982668
+"
+US,technical,"From July 27, 2025 to August 13, 2025, what proportion of days had the 5, 20, 60-day Hull Moving Average lines of Williams-Sonoma in long alignment? (Unit: %) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",57.8947,hard,moving average,HMA = WMA_{\sqrt{n}}(2 * WMA_{n/2}(P) - WMA_n(P)),"date,close,high,open
+2025-03-18,172.27999877929688,176.25,171.14999389648438
+2025-03-19,166.27000427246094,167.16000366210938,157.8000030517578
+2025-03-20,164.99000549316406,170.3300018310547,165.05999755859375
+2025-03-21,163.64999389648438,165.2899932861328,161.13999938964844
+2025-03-24,170.3000030517578,171.0800018310547,166.5800018310547
+2025-03-25,169.1699981689453,171.2899932861328,170.0
+2025-03-26,165.36000061035156,169.8800048828125,169.3000030517578
+2025-03-27,164.4199981689453,167.86000061035156,163.8800048828125
+2025-03-28,158.97999572753906,164.35000610351562,163.10000610351562
+2025-03-31,158.10000610351562,159.72000122070312,155.4600067138672
+2025-04-01,158.8699951171875,160.72999572753906,157.52000427246094
+2025-04-02,165.00999450683594,166.33999633789062,156.6300048828125
+2025-04-03,138.86000061035156,143.1699981689453,142.35000610351562
+2025-04-04,141.67999267578125,150.55999755859375,131.55999755859375
+2025-04-07,145.08999633789062,152.9199981689453,140.5399932861328
+2025-04-08,139.2100067138672,152.80999755859375,149.5
+2025-04-09,158.25,160.88999938964844,138.00999450683594
+2025-04-10,147.88999938964844,153.22000122070312,153.22000122070312
+2025-04-11,148.25,149.30999755859375,147.88999938964844
+2025-04-14,145.25999450683594,155.7100067138672,151.94000244140625
+2025-04-15,142.89999389648438,147.0,144.85000610351562
+2025-04-16,137.6199951171875,142.32000732421875,141.13999938964844
+2025-04-17,139.2100067138672,140.14999389648438,138.2100067138672
+2025-04-21,137.8699951171875,138.8699951171875,137.07000732421875
+2025-04-22,141.92999267578125,144.8000030517578,139.4199981689453
+2025-04-23,145.8800048828125,156.50999450683594,148.44000244140625
+2025-04-24,151.39999389648438,151.69000244140625,145.82000732421875
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+2025-04-30,154.47000122070312,154.88999938964844,150.52999877929688
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+2025-05-02,160.55999755859375,162.10000610351562,158.4600067138672
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+2025-05-06,154.41000366210938,157.27999877929688,155.8300018310547
+2025-05-07,157.63999938964844,158.47000122070312,155.6999969482422
+2025-05-08,160.88999938964844,162.13999938964844,160.0399932861328
+2025-05-09,160.30999755859375,161.99000549316406,161.19000244140625
+2025-05-12,173.8000030517578,180.07000732421875,173.25999450683594
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+2025-05-21,167.9199981689453,171.47000122070312,170.2899932861328
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+2025-05-27,166.8300018310547,166.8300018310547,160.63999938964844
+2025-05-28,164.50999450683594,168.3300018310547,167.0500030517578
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+2025-05-30,161.75999450683594,164.38999938964844,163.5399932861328
+2025-06-02,158.22000122070312,161.27000427246094,160.88999938964844
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+2025-07-15,163.6199951171875,172.1999969482422,171.0
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+2025-07-21,172.1999969482422,174.74000549316406,171.72999572753906
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+2025-07-28,188.22999572753903,188.91000366210935,182.8800048828125
+2025-07-29,187.1100006103516,188.55999755859372,188.55999755859372
+2025-07-30,190.52999877929688,192.3800048828125,188.2899932861328
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+2025-08-06,200.75,205.3500061035156,202.82000732421875
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+2025-08-12,206.97000122070312,207.3500061035156,202.22000122070312
+2025-08-13,210.1999969482422,210.58999633789065,207.6999969482422
+","date,5-day,20-day,60-day
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+2025-07-07,172.23111707899307,169.85159242902483,161.14422831942517
+2025-07-08,168.72400953504777,171.32801403095195,161.87676233114536
+2025-07-09,171.2517791748047,172.70263171835896,162.73536704004027
+2025-07-10,176.33999633789065,174.22159409163837,163.73619236283403
+2025-07-11,177.23555874294706,175.5524521468522,164.7860549222435
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+2025-07-15,164.69755655924482,175.20936030202097,166.4877684642168
+2025-07-16,161.4348812527127,173.4778697640555,167.05760927614583
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+2025-07-22,177.61422186957466,171.11258070578305,169.44082789552567
+2025-07-23,184.2984412299262,172.86413961237125,170.48130357115073
+2025-07-24,184.8353257921007,174.91804322081722,171.67237906750302
+2025-07-25,182.58711174858942,177.14764208112442,172.97364160307603
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+2025-07-30,190.89088812934028,186.03157568399007,177.76841042761103
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+2025-08-13,211.0911095513238,206.75694055004038,197.26723720919125
+"
+US,technical,"During September 27, 2024 to July 02, 2025, what percentage of trading days showed short alignment of General Motors's 5, 20, 60-day Hull Moving Average lines? Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",22.3256,hard,moving average,HMA = WMA_{\sqrt{n}}(2 * WMA_{n/2}(P) - WMA_n(P)),"date,close,high,open
+2024-05-20,45.11000061035156,45.90999984741211,45.75
+2024-05-21,44.91999816894531,45.18000030517578,44.970001220703125
+2024-05-22,43.970001220703125,44.63999938964844,44.59999847412109
+2024-05-23,43.72999954223633,44.060001373291016,43.970001220703125
+2024-05-24,44.11000061035156,44.31999969482422,44.06999969482422
+2024-05-28,43.09000015258789,43.77000045776367,43.70000076293945
+2024-05-29,42.63999938964844,42.75,42.619998931884766
+2024-05-30,43.40999984741211,43.47999954223633,42.810001373291016
+2024-05-31,44.9900016784668,45.02000045776367,43.209999084472656
+2024-06-03,45.7400016784668,45.959999084472656,44.959999084472656
+2024-06-04,45.2599983215332,45.77000045776367,45.31999969482422
+2024-06-05,45.619998931884766,45.68999862670898,45.54999923706055
+2024-06-06,45.61000061035156,45.97999954223633,45.58000183105469
+2024-06-07,45.720001220703125,46.08000183105469,45.34999847412109
+2024-06-10,47.56999969482422,47.7599983215332,45.68999862670898
+2024-06-11,48.209999084472656,48.95000076293945,48.2599983215332
+2024-06-12,48.86000061035156,49.34999847412109,48.84000015258789
+2024-06-13,47.650001525878906,48.720001220703125,48.619998931884766
+2024-06-14,46.77000045776367,47.38999938964844,47.13999938964844
+2024-06-17,47.400001525878906,47.52999877929688,46.77999877929688
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+2024-06-25,46.40999984741211,48.09999847412109,48.0
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+2024-08-28,49.04999923706055,49.45000076293945,49.0
+2024-08-29,49.470001220703125,49.81999969482422,49.4900016784668
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+US,technical,"For PepsiCo from October 20, 2019 to March 24, 2020, what percentage of days were the 5, 20, 60-day Hull Moving Average lines in long alignment? (Unit: %) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",20.4545,hard,moving average,HMA = WMA_{\sqrt{n}}(2 * WMA_{n/2}(P) - WMA_n(P)),"date,close,high,open
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+US,technical,"Calculate the percentage of days with long alignment in the 10, 20, 30-day Hull Moving Average lines for Occidental Petroleum from November 04, 2020 to October 20, 2021. Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",37.7953,hard,moving average,HMA = WMA_{\sqrt{n}}(2 * WMA_{n/2}(P) - WMA_n(P)),"date,close,high,open
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+"
+US,technical,"What is the percentage of days where the low price is greater than the lower channel of Bollinger Bands for International Flavors & Fragrances from June 12, 2023 to July 05, 2023? (Unit: %) (Standard parameters: middle band SMA(20), band width multiplier 2, use population standard deviation) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",81.25,medium,channel,Middle = SMA_n(P); Upper = Middle + 2 * \sigma_n(P); Lower = Middle - 2 * \sigma_n(P),"date,close,low
+2023-05-15,84.36000061035156,82.41000366210938
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+2023-05-19,83.68000030517578,83.56999969482422
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+2023-05-23,83.02999877929688,82.94999694824219
+2023-05-24,80.33000183105469,80.30000305175781
+2023-05-25,78.26000213623047,78.04000091552734
+2023-05-26,78.26000213623047,76.83000183105469
+2023-05-30,78.20999908447266,77.04000091552734
+2023-05-31,77.29000091552734,76.95999908447266
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+","date,Upper,Middle,Lower,low
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+"
+US,technical,"From May 13, 2022 to March 20, 2023, what proportion of days had Verizon's high less than the middle of Bollinger Bands? (Unit: %) (Standard parameters: middle band SMA(20), band width multiplier 2, use population standard deviation) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",55.3991,medium,channel,Middle = SMA_n(P); Upper = Middle + 2 * \sigma_n(P); Lower = Middle - 2 * \sigma_n(P),"date,close,low,high
+2022-04-18,53.38999938964844,53.220001220703125,54.27999877929688
+2022-04-19,53.75,53.459999084472656,53.90999984741211
+2022-04-20,54.40999984741211,53.70000076293945,54.4900016784668
+2022-04-21,55.0099983215332,54.470001220703125,55.5099983215332
+2022-04-22,51.90999984741211,51.459999084472656,53.540000915527344
+2022-04-25,50.27999877929688,49.540000915527344,51.43999862670898
+2022-04-26,49.40999984741211,49.369998931884766,50.650001525878906
+2022-04-27,48.459999084472656,48.41999816894531,49.5099983215332
+2022-04-28,48.400001525878906,48.29999923706055,49.16999816894531
+2022-04-29,46.29999923706055,46.16999816894531,48.20000076293945
+2022-05-02,46.22999954223633,45.54999923706055,47.060001373291016
+2022-05-03,47.16999816894531,46.060001373291016,47.40999984741211
+2022-05-04,48.369998931884766,47.0,48.41999816894531
+2022-05-05,47.84000015258789,47.40999984741211,48.33000183105469
+2022-05-06,48.27000045776367,47.52000045776367,48.43999862670898
+2022-05-09,48.619998931884766,47.75,48.86000061035156
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+2022-05-11,47.880001068115234,47.619998931884766,48.52000045776367
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+2022-05-13,48.18000030517578,47.61000061035156,48.45000076293945
+2022-05-16,49.040000915527344,47.7599983215332,49.20000076293945
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+2022-05-20,49.52999877929688,48.91999816894531,49.59999847412109
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+2022-05-27,51.400001525878906,50.52999877929688,51.43000030517578
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+2022-06-01,51.400001525878906,51.04999923706055,51.630001068115234
+2022-06-02,51.290000915527344,50.38999938964844,51.59000015258789
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+2022-06-07,51.650001525878906,50.93000030517578,51.70000076293945
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+2023-03-17,40.08223894215091,37.96500034332276,35.847761744494605,36.83000183105469
+2023-03-20,39.681597668388655,37.825500297546384,35.96940292670411,37.709999084472656
+"
+US,technical,"During March 31, 2022 to June 15, 2022, what percentage of days had Eversource Energy's open price less the upper channel of Bollinger Bands? (Standard parameters: middle band SMA(20), band width multiplier 2, use population standard deviation) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",96.2264,medium,channel,Middle = SMA_n(P); Upper = Middle + 2 * \sigma_n(P); Lower = Middle - 2 * \sigma_n(P),"date,close,low,high,open
+2022-03-04,85.94000244140625,82.91000366210938,86.55000305175781,83.22000122070312
+2022-03-07,86.66000366210938,84.86000061035156,86.91000366210938,85.7699966430664
+2022-03-08,85.08999633789062,84.45999908447266,86.9000015258789,86.56999969482422
+2022-03-09,84.19000244140625,84.01000213623047,85.13999938964844,84.77999877929688
+2022-03-10,84.36000061035156,83.4000015258789,84.6500015258789,83.9000015258789
+2022-03-11,83.80999755859375,83.72000122070312,85.12000274658203,84.55999755859375
+2022-03-14,83.22000122070312,82.77999877929688,85.04000091552734,84.41999816894531
+2022-03-15,84.16999816894531,83.36000061035156,84.2699966430664,84.01000213623047
+2022-03-16,84.02999877929688,82.3499984741211,84.36000061035156,84.08999633789062
+2022-03-17,84.26000213623047,83.69000244140625,85.12999725341797,83.87999725341797
+2022-03-18,83.43000030517578,83.05000305175781,84.86000061035156,84.56999969482422
+2022-03-21,84.5199966430664,83.48999786376953,84.77999877929688,83.48999786376953
+2022-03-22,84.19999694824219,83.61000061035156,84.87000274658203,84.87000274658203
+2022-03-23,84.68000030517578,83.91999816894531,85.3499984741211,84.33000183105469
+2022-03-24,85.41999816894531,84.48999786376953,85.55999755859375,84.75
+2022-03-25,86.66000366210938,85.52999877929688,86.68000030517578,85.93000030517578
+2022-03-28,87.02999877929688,86.18000030517578,87.04000091552734,86.95999908447266
+2022-03-29,87.77999877929688,86.72000122070312,87.83999633789062,87.54000091552734
+2022-03-30,88.63999938964844,87.41000366210938,88.68000030517578,87.7699966430664
+2022-03-31,88.19000244140625,88.13999938964844,89.20999908447266,88.62999725341797
+2022-04-01,89.83999633789062,87.62000274658203,89.87000274658203,88.19000244140625
+2022-04-04,89.12000274658203,87.95999908447266,89.58000183105469,89.44999694824219
+2022-04-05,90.08999633789062,89.25,90.95999908447266,89.25
+2022-04-06,92.25,90.1500015258789,92.3499984741211,90.58000183105467
+2022-04-07,92.13999938964844,91.16999816894533,92.5500030517578,92.13999938964844
+2022-04-08,92.52999877929688,91.94000244140624,93.33000183105467,92.52999877929688
+2022-04-11,91.77999877929688,91.58999633789062,93.25,92.91000366210938
+2022-04-12,92.83999633789062,90.77999877929688,93.02999877929688,91.51000213623048
+2022-04-13,92.51000213623048,92.05999755859376,93.0,92.87999725341795
+2022-04-14,92.5999984741211,92.33999633789062,93.1999969482422,92.76000213623048
+2022-04-18,91.66999816894533,91.23999786376952,93.13999938964844,92.61000061035156
+2022-04-19,92.5,91.54000091552734,92.77999877929688,91.86000061035156
+2022-04-20,93.26000213623048,92.86000061035156,93.81999969482422,93.37999725341795
+2022-04-21,93.0999984741211,92.63999938964844,94.62999725341795,93.1500015258789
+2022-04-22,92.0,91.87999725341795,93.23999786376952,93.0
+2022-04-25,90.69000244140624,89.4800033569336,92.5199966430664,92.31999969482422
+2022-04-26,89.72000122070312,89.70999908447266,91.52999877929688,90.25
+2022-04-27,89.51000213623047,88.83999633789062,90.80999755859376,89.80999755859375
+2022-04-28,90.1999969482422,89.12000274658203,90.61000061035156,89.91999816894531
+2022-04-29,87.4000015258789,87.22000122070312,89.87000274658203,89.83000183105469
+2022-05-02,86.18000030517578,85.29000091552734,88.58999633789062,88.11000061035156
+2022-05-03,86.72000122070312,86.19000244140625,88.33000183105469,86.80999755859375
+2022-05-04,88.56999969482422,86.69000244140625,88.69999694824219,87.04000091552734
+2022-05-05,89.81999969482422,88.16999816894531,91.98999786376952,88.2699966430664
+2022-05-06,90.4000015258789,89.29000091552734,91.41000366210938,89.29000091552734
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+2022-05-20,90.37000274658205,88.86000061035156,90.44000244140624,89.6500015258789
+2022-05-23,91.29000091552734,90.20999908447266,91.87999725341795,91.33999633789062
+2022-05-24,92.63999938964844,90.04000091552734,92.68000030517578,91.62000274658205
+2022-05-25,92.1500015258789,91.88999938964844,92.95999908447266,92.80999755859376
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+2022-05-31,92.31999969482422,91.4499969482422,93.02999877929688,92.69000244140624
+2022-06-01,92.12000274658205,91.23999786376952,92.5500030517578,92.5500030517578
+2022-06-02,92.41999816894533,90.41000366210938,92.7300033569336,92.58000183105467
+2022-06-03,92.3000030517578,91.83000183105467,92.83000183105467,92.12999725341795
+2022-06-06,92.27999877929688,92.12000274658205,93.0500030517578,92.5199966430664
+2022-06-07,92.83999633789062,91.2699966430664,92.88999938964844,92.13999938964844
+2022-06-08,90.62000274658205,90.5199966430664,92.4800033569336,92.4800033569336
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+2022-06-10,88.02999877929688,86.6500015258789,88.73999786376953,87.01000213623047
+2022-06-13,83.9000015258789,83.51000213623047,87.44000244140625,87.12999725341797
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+2022-06-15,80.58000183105469,79.75,81.97000122070312,81.41000366210938
+","date,Upper,Middle,Lower,open
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+2022-04-11,93.66193128451212,87.53799934387207,81.41406740323202,92.91000366210938
+2022-04-12,94.30430287892509,87.97149925231933,81.63869562571358,91.51000213623048
+2022-04-13,94.75142686574796,88.39549942016602,82.03957197458408,92.87999725341795
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+2022-06-02,93.5242522401699,90.70950012207031,87.89474800397072,92.58000183105467
+2022-06-03,93.69863955907947,90.833500289917,87.96836102075453,92.12999725341795
+2022-06-06,93.8523192025873,90.9275001525879,88.0026811025885,92.5199966430664
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+2022-06-08,94.02992488024202,91.11700019836425,88.20407551648648,92.4800033569336
+2022-06-09,94.20102739050924,91.0435001373291,87.88597288414897,90.76000213623048
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+2022-06-15,97.36920685074404,89.8265007019043,82.28379455306455,81.41000366210938
+"
+US,technical,"For D. R. Horton from November 25, 2024 to July 03, 2025, what percentage of days had the close less than the Bollinger Bands lower channel? (Unit: %) (Standard parameters: middle band SMA(20), band width multiplier 2, use population standard deviation) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",10.0,medium,channel,Middle = SMA_n(P); Upper = Middle + 2 * \sigma_n(P); Lower = Middle - 2 * \sigma_n(P),"date,close,low,high,open
+2024-10-29,167.32000732421875,152.99000549316406,167.72999572753906,153.19000244140625
+2024-10-30,169.2899932861328,166.27999877929688,171.77000427246094,166.3000030517578
+2024-10-31,169.0,167.32000732421875,170.41000366210938,167.94000244140625
+2024-11-01,167.63999938964844,166.6199951171875,174.38999938964844,171.42999267578125
+2024-11-04,170.74000549316406,169.07000732421875,175.60000610351562,169.30999755859375
+2024-11-05,173.27000427246094,167.52000427246094,173.47999572753906,168.25
+2024-11-06,166.7100067138672,159.75999450683594,167.08999633789062,163.52000427246094
+2024-11-07,168.11000061035156,166.05999755859375,169.3000030517578,166.25
+2024-11-08,168.7899932861328,167.1199951171875,169.4499969482422,168.02000427246094
+2024-11-11,167.4600067138672,166.6699981689453,170.5,169.5
+2024-11-12,161.8300018310547,161.7100067138672,165.9499969482422,165.27000427246094
+2024-11-13,161.1300048828125,160.9199981689453,165.41000366210938,164.61000061035156
+2024-11-14,163.74000549316406,160.82000732421875,165.69000244140625,161.1300048828125
+2024-11-15,161.61000061035156,161.0,163.3800048828125,161.75
+2024-11-18,161.4499969482422,160.08999633789062,163.02000427246094,160.1199951171875
+2024-11-19,162.3000030517578,158.6300048828125,162.4499969482422,161.3000030517578
+2024-11-20,163.1199951171875,161.66000366210938,163.49000549316406,162.3300018310547
+2024-11-21,161.86000061035156,161.75999450683594,164.3300018310547,163.77000427246094
+2024-11-22,163.52999877929688,161.5,164.02000427246094,162.60000610351562
+2024-11-25,172.94000244140625,167.1999969482422,175.9199981689453,167.1999969482422
+2024-11-26,168.7100067138672,167.27999877929688,171.39999389648438,171.0
+2024-11-27,169.42999267578125,169.07000732421875,171.74000549316406,170.85000610351562
+2024-11-29,168.77999877929688,168.4499969482422,171.97000122070312,171.14999389648438
+2024-12-02,167.39999389648438,165.9199981689453,169.2899932861328,168.13999938964844
+2024-12-03,166.92999267578125,166.08999633789062,169.3699951171875,168.64999389648438
+2024-12-04,161.35000610351562,160.82000732421875,164.75,164.00999450683594
+2024-12-05,159.67999267578125,159.47000122070312,162.05999755859375,161.91000366210938
+2024-12-06,158.50999450683594,157.8300018310547,163.1300048828125,161.94000244140625
+2024-12-09,160.9600067138672,157.72000122070312,160.97999572753906,159.94000244140625
+2024-12-10,157.0,155.63999938964844,158.60000610351562,156.1300048828125
+2024-12-11,153.67999267578125,153.42999267578125,157.3300018310547,156.69000244140625
+2024-12-12,151.2100067138672,150.8300018310547,153.0,151.77999877929688
+2024-12-13,149.8699951171875,147.77999877929688,150.39999389648438,148.8699951171875
+2024-12-16,147.61000061035156,147.1999969482422,152.14999389648438,150.50999450683594
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+2024-12-18,141.77000427246094,141.6300048828125,148.10000610351562,147.13999938964844
+2024-12-19,137.24000549316406,135.0,140.72999572753906,135.39999389648438
+2024-12-20,139.61000061035156,137.3000030517578,140.77000427246094,137.92999267578125
+2024-12-23,140.08999633789062,137.82000732421875,140.19000244140625,139.25999450683594
+2024-12-24,141.0500030517578,139.10000610351562,141.25999450683594,139.2899932861328
+2024-12-26,141.47000122070312,139.88999938964844,142.35000610351562,140.0
+2024-12-27,140.27999877929688,139.69000244140625,142.08999633789062,140.5800018310547
+2024-12-30,139.55999755859375,137.82000732421875,140.47999572753906,139.6199951171875
+2024-12-31,139.82000732421875,139.36000061035156,141.25999450683594,140.55999755859375
+2025-01-02,137.63999938964844,137.07000732421875,141.72000122070312,141.36000061035156
+2025-01-03,139.88999938964844,138.22000122070312,140.4199981689453,139.1699981689453
+2025-01-06,139.36000061035156,139.14999389648438,142.11000061035156,140.77999877929688
+2025-01-07,137.83999633789062,137.4199981689453,141.19000244140625,139.19000244140625
+2025-01-08,139.89999389648438,136.38999938964844,140.47000122070312,136.9199981689453
+2025-01-10,136.52000427246094,136.27999877929688,139.7899932861328,139.0
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+"
+US,technical,"Calculate the percentage of days where Cigna's open was less than the upper channel of Bollinger Bands from April 12, 2021 to February 01, 2022. (Standard parameters: middle band SMA(20), band width multiplier 2, use population standard deviation) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",96.6019,medium,channel,Middle = SMA_n(P); Upper = Middle + 2 * \sigma_n(P); Lower = Middle - 2 * \sigma_n(P),"date,close,low,high,open
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+US,technical,"What is the percentage of days where the close price is less than the upper channel of Keltner Channel for Vulcan Materials Company from July 16, 2024 to May 03, 2025? (Unit: %) (Standard parameters: middle EMA(20), requiring 4n data points to warm up, using the first data point as the initial value; ATR(10) using Wilder smoothing, multiplier 1.5) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",88.5496,medium,channel,Middle = EMA_{n_{ema}}(C); Upper = Middle + 1.5 * ATR_{n_{atr}}^{Wilder}; Lower = Middle - 1.5 * ATR_{n_{atr}}^{Wilder},"date,close,high,low
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+US,technical,"From December 06, 2021 to August 02, 2022, what proportion of days had Qualcomm's high greater than the lower of Keltner Channel? (Unit: %) (Standard parameters: middle EMA(20), requiring 4n data points to warm up, using the first data point as the initial value; ATR(10) using Wilder smoothing, multiplier 1.5) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",91.1504,medium,channel,Middle = EMA_{n_{ema}}(C); Upper = Middle + 1.5 * ATR_{n_{atr}}^{Wilder}; Lower = Middle - 1.5 * ATR_{n_{atr}}^{Wilder},"date,close,high,low
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+US,technical,"During December 10, 2022 to October 01, 2023, what percentage of days had Consolidated Edison's open price greater the middle channel of Keltner Channel? (Standard parameters: middle EMA(20), requiring 4n data points to warm up, using the first data point as the initial value; ATR(10) using Wilder smoothing, multiplier 1.5) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",46.5649,medium,channel,Middle = EMA_{n_{ema}}(C); Upper = Middle + 1.5 * ATR_{n_{atr}}^{Wilder}; Lower = Middle - 1.5 * ATR_{n_{atr}}^{Wilder},"date,close,high,low,open
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+US,technical,"For Best Buy from March 28, 2024 to May 16, 2024, what percentage of days had the high greater than the Keltner Channel upper channel? (Unit: %) (Standard parameters: middle EMA(20), requiring 4n data points to warm up, using the first data point as the initial value; ATR(10) using Wilder smoothing, multiplier 1.5) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",13.5417,medium,channel,Middle = EMA_{n_{ema}}(C); Upper = Middle + 1.5 * ATR_{n_{atr}}^{Wilder}; Lower = Middle - 1.5 * ATR_{n_{atr}}^{Wilder},"date,close,high,low,open
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+2024-05-16,73.63999938964844,74.68000030517578,73.13999938964844,73.30000305175781
+","date,Upper,Middle,Lower,high
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+"
+US,technical,"Calculate the percentage of days where Vistra Corp.'s open was greater than the upper channel of Keltner Channel from September 22, 2022 to April 13, 2023. (Standard parameters: middle EMA(20), requiring 4n data points to warm up, using the first data point as the initial value; ATR(10) using Wilder smoothing, multiplier 1.5) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",5.9701,medium,channel,Middle = EMA_{n_{ema}}(C); Upper = Middle + 1.5 * ATR_{n_{atr}}^{Wilder}; Lower = Middle - 1.5 * ATR_{n_{atr}}^{Wilder},"date,close,high,low,open
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+2022-05-31,26.3700008392334,26.68600082397461,25.8799991607666,26.5
+2022-06-01,25.899999618530277,26.459999084472656,25.27199935913086,26.36000061035156
+2022-06-02,25.979999542236328,26.239999771118164,25.59499931335449,25.959999084472656
+2022-06-03,25.850000381469727,26.25,25.82999992370605,25.90999984741211
+2022-06-06,26.489999771118164,26.524999618530277,25.81999969482422,25.989999771118164
+2022-06-07,27.38999938964844,27.38999938964844,26.38999938964844,26.38999938964844
+2022-06-08,26.84000015258789,27.309999465942383,26.6200008392334,27.239999771118164
+2022-06-09,26.200000762939453,26.899999618530277,26.170000076293945,26.739999771118164
+2022-06-10,25.440000534057617,25.8799991607666,25.43000030517578,25.770000457763672
+2022-06-13,23.5,25.040000915527344,23.399999618530277,25.0
+2022-06-14,22.959999084472656,23.700000762939453,22.6299991607666,23.450000762939453
+2022-06-15,23.5,23.90999984741211,23.100000381469727,23.21999931335449
+2022-06-16,22.520000457763672,23.31999969482422,22.280000686645508,23.31999969482422
+2022-06-17,22.420000076293945,22.73500061035156,21.84000015258789,22.530000686645508
+2022-06-21,22.770000457763672,23.01000022888184,22.5,22.979999542236328
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+2022-07-07,22.229999542236328,22.38500022888184,21.975000381469727,22.0
+2022-07-08,22.07999992370605,22.32999992370605,21.8700008392334,22.209999084472656
+2022-07-11,22.09000015258789,22.334999084472656,21.790000915527344,22.020000457763672
+2022-07-12,22.520000457763672,22.649999618530277,21.96999931335449,21.979999542236328
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+2022-07-22,23.0,23.65999984741211,22.7450008392334,23.40999984741211
+2022-07-25,23.36000061035156,23.5,22.780000686645508,23.040000915527344
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+2022-07-27,23.82999992370605,23.959999084472656,23.440000534057617,23.799999237060547
+2022-07-28,24.81999969482422,24.8700008392334,24.03499984741211,24.38999938964844
+2022-07-29,25.850000381469727,25.86000061035156,24.93000030517578,25.0
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+"
+US,technical,"What is the percentage of days where the low price is greater than the lower channel of Moving Average Envelope for Dow Inc. from December 25, 2021 to January 19, 2022? (Unit: %) (Standard parameters: middle band SMA(20), upper and lower bands +/- 10%) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",100.0,medium,channel,Middle = SMA_n(P); Upper = Middle * 1.1; Lower = Middle * 0.9,"date,close,low
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+US,technical,"From September 14, 2019 to April 10, 2020, what proportion of days had Corteva's close greater than the middle of Moving Average Envelope? (Unit: %) (Standard parameters: middle band SMA(20), upper and lower bands +/- 10%) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",42.3611,medium,channel,Middle = SMA_n(P); Upper = Middle * 1.1; Lower = Middle * 0.9,"date,close,low
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+US,technical,"During June 08, 2023 to July 18, 2023, what percentage of days had Deckers Brands's low price less the middle channel of Moving Average Envelope? (Standard parameters: middle band SMA(20), upper and lower bands +/- 10%) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0,medium,channel,Middle = SMA_n(P); Upper = Middle * 1.1; Lower = Middle * 0.9,"date,close,low
+2023-05-11,81.73999786376953,81.57167053222656
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+","date,Upper,Middle,Lower,low
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+"
+US,technical,"For Campbell's Company (The) from August 05, 2020 to October 03, 2020, what percentage of days had the open greater than the Moving Average Envelope lower channel? (Unit: %) (Standard parameters: middle band SMA(20), upper and lower bands +/- 10%) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",92.8571,medium,channel,Middle = SMA_n(P); Upper = Middle * 1.1; Lower = Middle * 0.9,"date,close,low,open
+2020-07-09,49.40999984741211,49.2599983215332,49.34000015258789
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+2020-07-15,49.209999084472656,49.08000183105469,50.5099983215332
+2020-07-16,49.54999923706055,49.16999816894531,49.16999816894531
+2020-07-17,49.59999847412109,49.4900016784668,49.79999923706055
+2020-07-20,49.220001220703125,48.869998931884766,49.5
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+US,technical,"Calculate the percentage of days where Las Vegas Sands's high was greater than the lower channel of Moving Average Envelope from December 21, 2022 to April 11, 2023. (Standard parameters: middle band SMA(20), upper and lower bands +/- 10%) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",100.0,medium,channel,Middle = SMA_n(P); Upper = Middle * 1.1; Lower = Middle * 0.9,"date,close,low,open,high
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+US,technical,"What is the percentage of days where the open price is less than the middle channel of Donchian Channel for Vici Properties from April 27, 2021 to November 16, 2021? (Unit: %) (Standard parameters: 20-period high/low, middle band is their average) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",52.4476,medium,channel,Upper = max_{i=0}^{n-1} H_{t-i}; Lower = min_{i=0}^{n-1} L_{t-i}; Middle = (Upper + Lower) / 2,"date,high,low,open
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+US,technical,"From July 21, 2019 to June 29, 2020, what proportion of days had Micron Technology's open less than the upper of Donchian Channel? (Unit: %) (Standard parameters: 20-period high/low, middle band is their average) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",100.0,medium,channel,Upper = max_{i=0}^{n-1} H_{t-i}; Lower = min_{i=0}^{n-1} L_{t-i}; Middle = (Upper + Lower) / 2,"date,high,low,open
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+US,technical,"During January 20, 2022 to November 28, 2022, what percentage of days had Molson Coors Beverage Company's open price greater the upper channel of Donchian Channel? (Standard parameters: 20-period high/low, middle band is their average) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0,medium,channel,Upper = max_{i=0}^{n-1} H_{t-i}; Lower = min_{i=0}^{n-1} L_{t-i}; Middle = (Upper + Lower) / 2,"date,high,low,open
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+2022-09-12,56.869998931884766,53.65999984741211,50.45000076293945,52.61000061035156
+2022-09-13,56.869998931884766,53.65999984741211,50.45000076293945,52.650001525878906
+2022-09-14,56.869998931884766,53.56999969482422,50.27000045776367,51.2599983215332
+2022-09-15,56.869998931884766,53.56999969482422,50.27000045776367,50.68000030517578
+2022-09-16,56.869998931884766,53.454999923706055,50.040000915527344,50.869998931884766
+2022-09-19,56.869998931884766,53.43499946594238,50.0,50.0
+2022-09-20,56.869998931884766,53.21500015258789,49.560001373291016,50.810001373291016
+2022-09-21,56.869998931884766,53.079999923706055,49.290000915527344,50.08000183105469
+2022-09-22,56.869998931884766,52.98499870300293,49.09999847412109,49.540000915527344
+2022-09-23,55.900001525878906,51.375,46.84999847412109,48.2599983215332
+2022-09-26,53.75,50.29999923706055,46.84999847412109,47.310001373291016
+2022-09-27,53.560001373291016,50.204999923706055,46.84999847412109,47.93999862670898
+2022-09-28,53.43000030517578,50.13999938964844,46.84999847412109,47.810001373291016
+2022-09-29,53.43000030517578,50.13999938964844,46.84999847412109,48.45000076293945
+2022-09-30,53.43000030517578,50.13999938964844,46.84999847412109,48.34999847412109
+2022-10-03,53.43000030517578,50.13999938964844,46.84999847412109,48.290000915527344
+2022-10-04,53.43000030517578,50.13999938964844,46.84999847412109,49.02999877929688
+2022-10-05,53.43000030517578,50.13999938964844,46.84999847412109,48.66999816894531
+2022-10-06,53.43000030517578,50.13999938964844,46.84999847412109,48.25
+2022-10-07,53.43000030517578,50.05999946594238,46.68999862670898,47.52000045776367
+2022-10-10,53.02999877929688,49.85999870300293,46.68999862670898,47.150001525878906
+2022-10-11,51.58000183105469,49.135000228881836,46.68999862670898,47.34000015258789
+2022-10-12,51.380001068115234,49.03499984741211,46.68999862670898,48.02000045776367
+2022-10-13,51.27999877929688,48.98499870300293,46.68999862670898,48.27999877929688
+2022-10-14,51.27999877929688,48.98499870300293,46.68999862670898,49.619998931884766
+2022-10-17,50.810001373291016,48.75,46.68999862670898,49.459999084472656
+2022-10-18,50.54999923706055,48.619998931884766,46.68999862670898,49.68000030517578
+2022-10-19,49.959999084472656,48.32499885559082,46.68999862670898,49.09999847412109
+2022-10-20,49.959999084472656,48.32499885559082,46.68999862670898,48.43000030517578
+2022-10-21,49.959999084472656,48.32499885559082,46.68999862670898,48.41999816894531
+2022-10-24,50.27999877929688,48.48499870300293,46.68999862670898,49.4900016784668
+2022-10-25,50.75,48.71999931335449,46.68999862670898,49.72999954223633
+2022-10-26,51.09999847412109,48.89499855041503,46.68999862670898,50.59999847412109
+2022-10-27,51.09999847412109,48.89499855041503,46.68999862670898,50.31999969482422
+2022-10-28,51.130001068115234,48.90999984741211,46.68999862670898,50.119998931884766
+2022-10-31,51.56999969482422,49.1299991607666,46.68999862670898,51.15999984741211
+2022-11-01,51.56999969482422,49.1299991607666,46.68999862670898,50.34999847412109
+2022-11-02,51.56999969482422,49.1299991607666,46.68999862670898,49.130001068115234
+2022-11-03,51.56999969482422,49.1299991607666,46.68999862670898,48.84999847412109
+2022-11-04,51.56999969482422,49.19499969482422,46.81999969482422,50.150001525878906
+2022-11-07,51.880001068115234,49.35000038146973,46.81999969482422,51.5099983215332
+2022-11-08,51.880001068115234,49.39000129699707,46.900001525878906,51.0
+2022-11-09,51.880001068115234,49.39000129699707,46.900001525878906,51.040000915527344
+2022-11-10,52.11000061035156,49.505001068115234,46.900001525878906,50.900001525878906
+2022-11-11,52.13999938964844,49.52000045776367,46.900001525878906,51.459999084472656
+2022-11-14,52.63999938964844,49.77000045776367,46.900001525878906,51.900001525878906
+2022-11-15,52.63999938964844,49.77000045776367,46.900001525878906,52.150001525878906
+2022-11-16,52.63999938964844,49.77000045776367,46.900001525878906,52.27000045776367
+2022-11-17,53.06999969482422,49.98500061035156,46.900001525878906,51.619998931884766
+2022-11-18,53.7400016784668,50.32000160217285,46.900001525878906,53.56999969482422
+2022-11-21,54.619998931884766,50.760000228881836,46.900001525878906,53.09000015258789
+2022-11-22,55.150001525878906,51.025001525878906,46.900001525878906,54.650001525878906
+2022-11-23,55.310001373291016,51.10500144958496,46.900001525878906,54.88999938964844
+2022-11-25,55.650001525878906,51.275001525878906,46.900001525878906,55.27000045776367
+2022-11-28,55.70000076293945,51.30000114440918,46.900001525878906,55.16999816894531
+"
+US,technical,"For GoDaddy from February 26, 2023 to April 23, 2023, what percentage of days had the open greater than the Donchian Channel middle channel? (Unit: %) (Standard parameters: 20-period high/low, middle band is their average) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",53.8462,medium,channel,Upper = max_{i=0}^{n-1} H_{t-i}; Lower = min_{i=0}^{n-1} L_{t-i}; Middle = (Upper + Lower) / 2,"date,high,low,open
+2023-01-30,82.19999694824219,81.08000183105469,81.75
+2023-01-31,82.48999786376953,81.38999938964844,81.7300033569336
+2023-02-01,83.2030029296875,81.48999786376953,82.1500015258789
+2023-02-02,85.31999969482422,83.51000213623047,84.1500015258789
+2023-02-03,83.93000030517578,82.16999816894531,82.30999755859375
+2023-02-06,83.04499816894531,81.11000061035156,82.58000183105469
+2023-02-07,83.66000366210938,80.05999755859375,80.75
+2023-02-08,83.41000366210938,82.08999633789062,83.22000122070312
+2023-02-09,83.43000030517578,81.13999938964844,82.80999755859375
+2023-02-10,81.25,79.56999969482422,81.08000183105469
+2023-02-13,82.33000183105469,80.18000030517578,81.1500015258789
+2023-02-14,81.92500305175781,80.25,80.61000061035156
+2023-02-15,82.80000305175781,79.54000091552734,81.86000061035156
+2023-02-16,81.0199966430664,78.61000061035156,78.66999816894531
+2023-02-17,78.91000366210938,76.81999969482422,78.86000061035156
+2023-02-21,77.1449966430664,76.06500244140625,76.70999908447266
+2023-02-22,77.66000366210938,76.0,76.0
+2023-02-23,77.69999694824219,76.04000091552734,77.69999694824219
+2023-02-24,77.37000274658203,74.97000122070312,75.0
+2023-02-27,76.6500015258789,75.77999877929688,76.27999877929688
+2023-02-28,76.8499984741211,75.5999984741211,75.73999786376953
+2023-03-01,76.19999694824219,75.25,75.68000030517578
+2023-03-02,75.72000122070312,74.45999908447266,75.5
+2023-03-03,76.62999725341797,75.36000061035156,75.55000305175781
+2023-03-06,76.9000015258789,75.73999786376953,76.16000366210938
+2023-03-07,77.01499938964844,74.92500305175781,75.87999725341797
+2023-03-08,76.19499969482422,75.29000091552734,75.79000091552734
+2023-03-09,76.38999938964844,74.95999908447266,76.0199966430664
+2023-03-10,74.75,72.1449966430664,74.33999633789062
+2023-03-13,73.02999877929688,71.36000061035156,71.62999725341797
+2023-03-14,73.4800033569336,71.9800033569336,72.66000366210938
+2023-03-15,72.30500030517578,71.06999969482422,71.62999725341797
+2023-03-16,73.36000061035156,72.0,72.36000061035156
+2023-03-17,73.91000366210938,72.30999755859375,72.70999908447266
+2023-03-20,74.4000015258789,72.2699966430664,72.87999725341797
+2023-03-21,74.5,72.81999969482422,73.30999755859375
+2023-03-22,75.13999938964844,73.38999938964844,74.4800033569336
+2023-03-23,74.71499633789062,73.18000030517578,74.2699966430664
+2023-03-24,74.56999969482422,73.1500015258789,73.79000091552734
+2023-03-27,75.31999969482422,74.31999969482422,74.95999908447266
+2023-03-28,75.30999755859375,74.19999694824219,74.47000122070312
+2023-03-29,76.08000183105469,74.9800033569336,75.37000274658203
+2023-03-30,76.51000213623047,75.1449966430664,75.47000122070312
+2023-03-31,77.75,76.52999877929688,76.70999908447266
+2023-04-03,77.74500274658203,76.70999908447266,77.12000274658203
+2023-04-04,77.79000091552734,76.86000061035156,77.66999816894531
+2023-04-05,77.80999755859375,76.28500366210938,77.26000213623047
+2023-04-06,76.52999877929688,75.61000061035156,76.27999877929688
+2023-04-10,76.38999938964844,75.55999755859375,75.7300033569336
+2023-04-11,77.2750015258789,75.96499633789062,76.62000274658203
+2023-04-12,77.77999877929688,76.05999755859375,77.30999755859375
+2023-04-13,77.56500244140625,76.19000244140625,76.29000091552734
+2023-04-14,77.65499877929688,76.55000305175781,76.70999908447266
+2023-04-17,77.20999908447266,76.0999984741211,76.94000244140625
+2023-04-18,78.04000091552734,76.93000030517578,77.8499984741211
+2023-04-19,77.0,75.5999984741211,76.83000183105469
+2023-04-20,77.12000274658203,75.26000213623047,75.61000061035156
+2023-04-21,77.51000213623047,76.83300018310547,76.98999786376953
+","date,Upper,Middle,Lower,open
+2023-02-27,85.31999969482422,80.14500045776367,74.97000122070312,76.27999877929688
+2023-02-28,85.31999969482422,80.14500045776367,74.97000122070312,75.73999786376953
+2023-03-01,85.31999969482422,80.14500045776367,74.97000122070312,75.68000030517578
+2023-03-02,85.31999969482422,79.88999938964844,74.45999908447266,75.5
+2023-03-03,83.93000030517578,79.19499969482422,74.45999908447266,75.55000305175781
+2023-03-06,83.66000366210938,79.06000137329102,74.45999908447266,76.16000366210938
+2023-03-07,83.66000366210938,79.06000137329102,74.45999908447266,75.87999725341797
+2023-03-08,83.43000030517578,78.94499969482422,74.45999908447266,75.79000091552734
+2023-03-09,83.43000030517578,78.94499969482422,74.45999908447266,76.0199966430664
+2023-03-10,82.80000305175781,77.47249984741211,72.1449966430664,74.33999633789062
+2023-03-13,82.80000305175781,77.08000183105469,71.36000061035156,71.62999725341797
+2023-03-14,82.80000305175781,77.08000183105469,71.36000061035156,72.66000366210938
+2023-03-15,82.80000305175781,76.93500137329102,71.06999969482422,71.62999725341797
+2023-03-16,81.0199966430664,76.04499816894531,71.06999969482422,72.36000061035156
+2023-03-17,78.91000366210938,74.9900016784668,71.06999969482422,72.70999908447266
+2023-03-20,77.69999694824219,74.3849983215332,71.06999969482422,72.87999725341797
+2023-03-21,77.69999694824219,74.3849983215332,71.06999969482422,73.30999755859375
+2023-03-22,77.69999694824219,74.3849983215332,71.06999969482422,74.4800033569336
+2023-03-23,77.37000274658203,74.22000122070312,71.06999969482422,74.2699966430664
+2023-03-24,77.01499938964844,74.04249954223633,71.06999969482422,73.79000091552734
+2023-03-27,77.01499938964844,74.04249954223633,71.06999969482422,74.95999908447266
+2023-03-28,77.01499938964844,74.04249954223633,71.06999969482422,74.47000122070312
+2023-03-29,77.01499938964844,74.04249954223633,71.06999969482422,75.37000274658203
+2023-03-30,77.01499938964844,74.04249954223633,71.06999969482422,75.47000122070312
+2023-03-31,77.75,74.40999984741211,71.06999969482422,76.70999908447266
+2023-04-03,77.75,74.40999984741211,71.06999969482422,77.12000274658203
+2023-04-04,77.79000091552734,74.43000030517578,71.06999969482422,77.66999816894531
+2023-04-05,77.80999755859375,74.43999862670898,71.06999969482422,77.26000213623047
+2023-04-06,77.80999755859375,74.43999862670898,71.06999969482422,76.27999877929688
+2023-04-10,77.80999755859375,74.43999862670898,71.06999969482422,75.7300033569336
+2023-04-11,77.80999755859375,74.43999862670898,71.06999969482422,76.62000274658203
+2023-04-12,77.80999755859375,74.43999862670898,71.06999969482422,77.30999755859375
+2023-04-13,77.80999755859375,74.90499877929688,72.0,76.29000091552734
+2023-04-14,77.80999755859375,75.03999710083008,72.2699966430664,76.70999908447266
+2023-04-17,77.80999755859375,75.03999710083008,72.2699966430664,76.94000244140625
+2023-04-18,78.04000091552734,75.43000030517578,72.81999969482422,77.8499984741211
+2023-04-19,78.04000091552734,75.59500122070312,73.1500015258789,76.83000183105469
+2023-04-20,78.04000091552734,75.59500122070312,73.1500015258789,75.61000061035156
+2023-04-21,78.04000091552734,75.59500122070312,73.1500015258789,76.98999786376953
+"
+US,technical,"Calculate the percentage of days where TransDigm Group's high was greater than the upper channel of Donchian Channel from May 25, 2022 to September 16, 2022. (Standard parameters: 20-period high/low, middle band is their average) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0,medium,channel,Upper = max_{i=0}^{n-1} H_{t-i}; Lower = min_{i=0}^{n-1} L_{t-i}; Middle = (Upper + Lower) / 2,"date,high,low,open
+2022-04-28,624.239990234375,609.02001953125,620.5499877929688
+2022-04-29,617.7999877929688,593.6099853515625,614.5499877929688
+2022-05-02,607.4099731445312,586.1500244140625,594.989990234375
+2022-05-03,613.0399780273438,597.2899780273438,607.75
+2022-05-04,624.1799926757812,596.5800170898438,602.7899780273438
+2022-05-05,617.4600219726562,591.5399780273438,616.760009765625
+2022-05-06,598.8800048828125,576.52001953125,595.77001953125
+2022-05-09,577.1699829101562,540.280029296875,575.7999877929688
+2022-05-10,582.280029296875,550.9500122070312,564.0
+2022-05-11,589.9199829101562,563.5399780273438,563.5399780273438
+2022-05-12,570.5399780273438,537.5499877929688,569.0800170898438
+2022-05-13,570.2000122070312,555.3099975585938,555.3099975585938
+2022-05-16,565.3400268554688,545.780029296875,558.8800048828125
+2022-05-17,566.7100219726562,549.2000122070312,557.0599975585938
+2022-05-18,553.6300048828125,533.739990234375,547.0700073242188
+2022-05-19,550.969970703125,531.22998046875,531.260009765625
+2022-05-20,552.530029296875,538.2000122070312,548.2999877929688
+2022-05-23,567.72998046875,552.3800048828125,555.739990234375
+2022-05-24,582.1599731445312,561.5,573.3800048828125
+2022-05-25,593.8300170898438,573.8800048828125,578.739990234375
+2022-05-26,607.1699829101562,594.0,597.5
+2022-05-27,614.1500244140625,601.4299926757812,602.5599975585938
+2022-05-31,608.0,594.5900268554688,603.4099731445312
+2022-06-01,608.239990234375,588.1099853515625,607.6400146484375
+2022-06-02,616.8200073242188,598.510009765625,602.2000122070312
+2022-06-03,617.969970703125,605.3900146484375,609.6500244140625
+2022-06-06,628.4400024414062,615.2999877929688,625.2899780273438
+2022-06-07,633.3400268554688,618.25,618.6400146484375
+2022-06-08,627.8200073242188,614.8599853515625,627.0399780273438
+2022-06-09,614.77001953125,605.7000122070312,614.77001953125
+2022-06-10,598.6300048828125,580.0399780273438,593.8800048828125
+2022-06-13,565.0,542.0700073242188,565.0
+2022-06-14,549.97998046875,522.1300048828125,549.97998046875
+2022-06-15,554.1300048828125,532.77001953125,536.2000122070312
+2022-06-16,540.5599975585938,510.989990234375,536.239990234375
+2022-06-17,523.9199829101562,500.0799865722656,500.4800109863281
+2022-06-21,528.7100219726562,517.3300170898438,525.3499755859375
+2022-06-22,535.1699829101562,513.8400268554688,513.8400268554688
+2022-06-23,527.4500122070312,513.4600219726562,527.4500122070312
+2022-06-24,539.1699829101562,525.0,525.0
+2022-06-27,542.6699829101562,529.1900024414062,541.0
+2022-06-28,551.6699829101562,532.0599975585938,538.6500244140625
+2022-06-29,537.9400024414062,519.4600219726562,534.72998046875
+2022-06-30,539.719970703125,515.0499877929688,519.97998046875
+2022-07-01,542.6199951171875,530.5399780273438,534.3099975585938
+2022-07-05,531.0999755859375,514.8099975585938,529.219970703125
+2022-07-06,537.0,522.8599853515625,533.719970703125
+2022-07-07,541.530029296875,532.719970703125,533.97998046875
+2022-07-08,539.1099853515625,530.6300048828125,536.239990234375
+2022-07-11,535.9199829101562,529.530029296875,530.0
+2022-07-12,549.260009765625,530.6199951171875,530.6199951171875
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+US,technical,"What is the percentage of days where the low price is less than the middle channel of SuperTrend for Extra Space Storage from January 23, 2022 to August 07, 2022? (Unit: %) (Standard parameters: period 10, multiplier 3; Require 5n data points to warm up) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",100.0,medium,channel,"Mid_t = (H_t + L_t) / 2; BasicUpper_t = Mid_t + m * ATR_n^{Wilder}; BasicLower_t = Mid_t - m * ATR_n^{Wilder}; in long state Lower_t = max(BasicLower_t, Lower_{t-1}), flip to short if C_t < Lower_t; in short state Upper_t = min(BasicUpper_t, Upper_{t-1}), flip to long if C_t > Upper_t","date,high,low,close
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+US,technical,"From December 05, 2019 to January 21, 2020, what proportion of days had Waste Management's low less than the lower of SuperTrend? (Unit: %) (Standard parameters: period 10, multiplier 3; Require 5n data points to warm up) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",50.7042,medium,channel,"Mid_t = (H_t + L_t) / 2; BasicUpper_t = Mid_t + m * ATR_n^{Wilder}; BasicLower_t = Mid_t - m * ATR_n^{Wilder}; in long state Lower_t = max(BasicLower_t, Lower_{t-1}), flip to short if C_t < Lower_t; in short state Upper_t = min(BasicUpper_t, Upper_{t-1}), flip to long if C_t > Upper_t","date,high,low,close
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+"
+US,technical,"During March 03, 2024 to March 20, 2024, what percentage of days had Lululemon Athletica's low price less the lower channel of SuperTrend? (Standard parameters: period 10, multiplier 3; Require 5n data points to warm up) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",88.6792,medium,channel,"Mid_t = (H_t + L_t) / 2; BasicUpper_t = Mid_t + m * ATR_n^{Wilder}; BasicLower_t = Mid_t - m * ATR_n^{Wilder}; in long state Lower_t = max(BasicLower_t, Lower_{t-1}), flip to short if C_t < Lower_t; in short state Upper_t = min(BasicUpper_t, Upper_{t-1}), flip to long if C_t > Upper_t","date,high,low,close
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+"
+US,technical,"For Microsoft from August 04, 2022 to November 12, 2022, what percentage of days had the close less than the SuperTrend upper channel? (Unit: %) (Standard parameters: period 10, multiplier 3; Require 5n data points to warm up) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",73.8739,medium,channel,"Mid_t = (H_t + L_t) / 2; BasicUpper_t = Mid_t + m * ATR_n^{Wilder}; BasicLower_t = Mid_t - m * ATR_n^{Wilder}; in long state Lower_t = max(BasicLower_t, Lower_{t-1}), flip to short if C_t < Lower_t; in short state Upper_t = min(BasicUpper_t, Upper_{t-1}), flip to long if C_t > Upper_t","date,high,low,close
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+US,technical,"Calculate the percentage of days where Starbucks's high was less than the lower channel of SuperTrend from December 16, 2023 to March 20, 2024. (Standard parameters: period 10, multiplier 3; Require 5n data points to warm up) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",45.1923,medium,channel,"Mid_t = (H_t + L_t) / 2; BasicUpper_t = Mid_t + m * ATR_n^{Wilder}; BasicLower_t = Mid_t - m * ATR_n^{Wilder}; in long state Lower_t = max(BasicLower_t, Lower_{t-1}), flip to short if C_t < Lower_t; in short state Upper_t = min(BasicUpper_t, Upper_{t-1}), flip to long if C_t > Upper_t","date,high,low,close
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+US,technical,"From April 04, 2021 to May 28, 2021, how many times did a death cross occur between the 5-day and 30-day Simple Moving Average lines for Waters Corporation? Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",0.0,medium,moving average,SMA_n = 1 / n * \sum_{i=0}^{n-1} P_{t-i},"date,close
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+US,technical,"How many death cross occurred between the 5-day and 10-day Simple Moving Average lines for Conagra Brands from July 05, 2024 to December 20, 2024? Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",7.0,medium,moving average,SMA_n = 1 / n * \sum_{i=0}^{n-1} P_{t-i},"date,close
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+US,technical,"During May 06, 2024 to October 18, 2024, how many times did Salesforce's 5-day and 30-day Simple Moving Average lines form a death cross? Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.0,medium,moving average,SMA_n = 1 / n * \sum_{i=0}^{n-1} P_{t-i},"date,close
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+US,technical,"For Deckers Brands, how many times did the 60-day and 20-day Simple Moving Average lines produce a golden cross between May 12, 2021 and December 01, 2021? Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0,medium,moving average,SMA_n = 1 / n * \sum_{i=0}^{n-1} P_{t-i},"date,close
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+US,technical,"From November 03, 2019 to September 30, 2020, how many times did a death cross occur between the 60-day and 20-day Weighted Moving Average lines for Ares Management? (Weights are 1, 2, ..., n) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0,medium,moving average,WMA_n = \sum_{i=0}^{n-1} (n-i) * P_{t-i} / \sum_{j=1}^{n} j,"date,close
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+US,technical,"How many death cross occurred between the 60-day and 10-day Weighted Moving Average lines for West Pharmaceutical Services from September 28, 2025 to November 20, 2025? (Weights are 1, 2, ..., n) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",1.0,medium,moving average,WMA_n = \sum_{i=0}^{n-1} (n-i) * P_{t-i} / \sum_{j=1}^{n} j,"date,close
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+US,technical,"For HCA Healthcare, how many times did the 20-day and 5-day Weighted Moving Average lines produce a death cross between January 22, 2024 and October 30, 2024? (Weights are 1, 2, ..., n) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",6.0,medium,moving average,WMA_n = \sum_{i=0}^{n-1} (n-i) * P_{t-i} / \sum_{j=1}^{n} j,"date,close
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+US,technical,"From March 11, 2020 to June 28, 2020, count the number of golden cross occurrences between the 10-day and 5-day Weighted Moving Average lines for Lamb Weston. (Weights are 1, 2, ..., n) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",6.0,medium,moving average,WMA_n = \sum_{i=0}^{n-1} (n-i) * P_{t-i} / \sum_{j=1}^{n} j,"date,close
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+US,technical,"From July 05, 2023 to May 07, 2024, how many times did a golden cross occur between the 10-day and 5-day Exponential Moving Average lines for American International Group? (Smoothing factor alpha = 2 / (n + 1); Require 4n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",10.0,medium,moving average,"EMA_t = \alpha * P_t + (1 - \alpha) * EMA_{t-1}, \quad \alpha = 2 / (n + 1)","date,close
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+US,technical,"How many death cross occurred between the 30-day and 10-day Exponential Moving Average lines for IQVIA from April 06, 2022 to March 22, 2023? (Smoothing factor alpha = 2 / (n + 1); Require 4n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",6.0,medium,moving average,"EMA_t = \alpha * P_t + (1 - \alpha) * EMA_{t-1}, \quad \alpha = 2 / (n + 1)","date,close
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+US,technical,"For Albemarle Corporation, how many times did the 5-day and 10-day Exponential Moving Average lines produce a golden cross between October 06, 2023 and May 24, 2024? (Smoothing factor alpha = 2 / (n + 1); Require 4n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",9.0,medium,moving average,"EMA_t = \alpha * P_t + (1 - \alpha) * EMA_{t-1}, \quad \alpha = 2 / (n + 1)","date,close
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+US,technical,"From July 07, 2021 to October 25, 2021, count the number of death cross occurrences between the 20-day and 5-day Exponential Moving Average lines for Dow Inc.. (Smoothing factor alpha = 2 / (n + 1); Require 4n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",7.0,medium,moving average,"EMA_t = \alpha * P_t + (1 - \alpha) * EMA_{t-1}, \quad \alpha = 2 / (n + 1)","date,close
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+US,technical,"From April 28, 2022 to June 04, 2022, how many times did a golden cross occur between the 5-day and 10-day Double Exponential Moving Average lines for D. R. Horton? (Smoothing factor alpha = 2 / (n + 1); Require 5n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",8.0,medium,moving average,DEMA = 2 * EMA1 - EMA2; EMA1 = EMA_n(P); EMA2 = EMA_n(EMA1),"date,close
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+US,technical,"How many death cross occurred between the 5-day and 60-day Double Exponential Moving Average lines for GE Aerospace from June 11, 2022 to May 21, 2023? (Smoothing factor alpha = 2 / (n + 1); Require 5n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",15.0,medium,moving average,DEMA = 2 * EMA1 - EMA2; EMA1 = EMA_n(P); EMA2 = EMA_n(EMA1),"date,close
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+US,technical,"For Aptiv, how many times did the 30-day and 5-day Double Exponential Moving Average lines produce a death cross between February 07, 2025 and November 10, 2025? (Smoothing factor alpha = 2 / (n + 1); Require 5n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",13.0,medium,moving average,DEMA = 2 * EMA1 - EMA2; EMA1 = EMA_n(P); EMA2 = EMA_n(EMA1),"date,close
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+US,technical,"From July 22, 2024 to April 02, 2025, count the number of death cross occurrences between the 60-day and 5-day Double Exponential Moving Average lines for Align Technology. (Smoothing factor alpha = 2 / (n + 1); Require 5n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",8.0,medium,moving average,DEMA = 2 * EMA1 - EMA2; EMA1 = EMA_n(P); EMA2 = EMA_n(EMA1),"date,close
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+US,technical,"During December 09, 2022 to January 20, 2023, how many times did AvalonBay Communities's 60-day and 30-day Triple Exponential Moving Average lines form a golden cross? (Smoothing factor alpha = 2 / (n + 1); Require 6n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0,medium,moving average,TEMA = 3 * EMA1 - 3 * EMA2 + EMA3; EMA1 = EMA_n(P); EMA2 = EMA_n(EMA1); EMA3 = EMA_n(EMA2),"date,close
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+US,technical,"How many golden cross occurred between the 10-day and 30-day Hull Moving Average lines for Invesco from January 23, 2020 to October 02, 2020? Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",11.0,medium,moving average,HMA = WMA_{\sqrt{n}}(2 * WMA_{n/2}(P) - WMA_n(P)),"date,close
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+US,technical,"For Cisco, how many times did the 30-day and 10-day Hull Moving Average lines produce a death cross between November 30, 2021 and October 29, 2022? Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",14.0,medium,moving average,HMA = WMA_{\sqrt{n}}(2 * WMA_{n/2}(P) - WMA_n(P)),"date,close
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+US,technical,"From October 21, 2020 to August 29, 2021, count the number of golden cross occurrences between the 10-day and 5-day Hull Moving Average lines for Globe Life. Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",28.0,medium,moving average,HMA = WMA_{\sqrt{n}}(2 * WMA_{n/2}(P) - WMA_n(P)),"date,close
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+US,technical,"What is the percentage of days where the low price is greater than the 5-day Simple Moving Average line for Quest Diagnostics from June 16, 2019 to February 12, 2020? (Unit: %) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",76.6467,medium,moving average,SMA_n = 1 / n * \sum_{i=0}^{n-1} P_{t-i},"date,close,low
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+US,technical,"From March 13, 2025 to August 20, 2025, what proportion of days had Cigna's low price greater than its 5-day Simple Moving Average line? (Unit: %) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",79.2793,medium,moving average,SMA_n = 1 / n * \sum_{i=0}^{n-1} P_{t-i},"date,close,low
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+"
+US,technical,"During January 16, 2020 to December 18, 2020, what percentage of trading days had Huntington Bancshares's low less the 10-day Simple Moving Average line? Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",38.2979,medium,moving average,SMA_n = 1 / n * \sum_{i=0}^{n-1} P_{t-i},"date,close,low
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+US,technical,"For NRG Energy from November 12, 2021 to January 04, 2022, what percentage of days had the open greater than the 5-day Simple Moving Average line? (Unit: %) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",25.0,medium,moving average,SMA_n = 1 / n * \sum_{i=0}^{n-1} P_{t-i},"date,close,low,open
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+","date,5-day,open
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+"
+US,technical,"Calculate the percentage of days where Church & Dwight's low was greater than its 20-day Simple Moving Average line from August 27, 2023 to May 14, 2024. (Unit: %) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",45.5556,medium,moving average,SMA_n = 1 / n * \sum_{i=0}^{n-1} P_{t-i},"date,close,low,open
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+"
+US,technical,"What is the percentage of days where the open price is greater than the 20-day Weighted Moving Average line for Biogen from July 19, 2024 to March 22, 2025? (Unit: %) (Weights are 1, 2, ..., n) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",73.9645,medium,moving average,WMA_n = \sum_{i=0}^{n-1} (n-i) * P_{t-i} / \sum_{j=1}^{n} j,"date,close,open
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+US,technical,"From October 29, 2023 to February 09, 2024, what proportion of days had Meta Platforms's low price less than its 60-day Weighted Moving Average line? (Unit: %) (Weights are 1, 2, ..., n) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",87.3239,medium,moving average,WMA_n = \sum_{i=0}^{n-1} (n-i) * P_{t-i} / \sum_{j=1}^{n} j,"date,close,open,low
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+US,technical,"During December 21, 2024 to June 23, 2025, what percentage of trading days had Consolidated Edison's high less the 5-day Weighted Moving Average line? (Weights are 1, 2, ..., n) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",87.8049,medium,moving average,WMA_n = \sum_{i=0}^{n-1} (n-i) * P_{t-i} / \sum_{j=1}^{n} j,"date,close,open,low,high
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+"
+US,technical,"For Honeywell from January 28, 2022 to June 04, 2022, what percentage of days had the low less than the 5-day Weighted Moving Average line? (Unit: %) (Weights are 1, 2, ..., n) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",14.7727,medium,moving average,WMA_n = \sum_{i=0}^{n-1} (n-i) * P_{t-i} / \sum_{j=1}^{n} j,"date,close,open,low,high
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+","date,5-day,low
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+"
+US,technical,"Calculate the percentage of days where Hasbro's low was less than its 5-day Weighted Moving Average line from April 15, 2021 to March 31, 2022. (Unit: %) (Weights are 1, 2, ..., n) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",15.5738,medium,moving average,WMA_n = \sum_{i=0}^{n-1} (n-i) * P_{t-i} / \sum_{j=1}^{n} j,"date,close,open,low,high
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+US,technical,"What is the percentage of days where the high price is less than the 10-day Exponential Moving Average line for AES Corporation from July 28, 2022 to June 23, 2023? (Unit: %) (Smoothing factor alpha = 2 / (n + 1); Require 4n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",66.4093,medium,moving average,"EMA_t = \alpha * P_t + (1 - \alpha) * EMA_{t-1}, \quad \alpha = 2 / (n + 1)","date,close,high
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+US,technical,"From December 19, 2021 to August 26, 2022, what proportion of days had Royal Caribbean Group's open price greater than its 5-day Exponential Moving Average line? (Unit: %) (Smoothing factor alpha = 2 / (n + 1); Require 4n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",48.1481,medium,moving average,"EMA_t = \alpha * P_t + (1 - \alpha) * EMA_{t-1}, \quad \alpha = 2 / (n + 1)","date,close,high,open
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+US,technical,"During September 19, 2025 to October 02, 2025, what percentage of trading days had EOG Resources's high less the 60-day Exponential Moving Average line? (Smoothing factor alpha = 2 / (n + 1); Require 4n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",54.4503,medium,moving average,"EMA_t = \alpha * P_t + (1 - \alpha) * EMA_{t-1}, \quad \alpha = 2 / (n + 1)","date,close,high,open
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+US,technical,"For Uber from September 04, 2022 to January 26, 2023, what percentage of days had the high less than the 5-day Exponential Moving Average line? (Unit: %) (Smoothing factor alpha = 2 / (n + 1); Require 4n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",80.0,medium,moving average,"EMA_t = \alpha * P_t + (1 - \alpha) * EMA_{t-1}, \quad \alpha = 2 / (n + 1)","date,close,high,open
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+US,technical,"Calculate the percentage of days where Mettler Toledo's open was less than its 20-day Exponential Moving Average line from June 26, 2019 to February 25, 2020. (Unit: %) (Smoothing factor alpha = 2 / (n + 1); Require 4n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",58.5153,medium,moving average,"EMA_t = \alpha * P_t + (1 - \alpha) * EMA_{t-1}, \quad \alpha = 2 / (n + 1)","date,close,high,open
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+US,technical,"From March 17, 2021 to March 30, 2021, what proportion of days had Autodesk's high price less than its 60-day Double Exponential Moving Average line? (Unit: %) (Smoothing factor alpha = 2 / (n + 1); Require 5n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",52.0833,medium,moving average,DEMA = 2 * EMA1 - EMA2; EMA1 = EMA_n(P); EMA2 = EMA_n(EMA1),"date,close,high
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+US,technical,"For Steel Dynamics from May 04, 2024 to November 12, 2024, what percentage of days had the close less than the 5-day Double Exponential Moving Average line? (Unit: %) (Smoothing factor alpha = 2 / (n + 1); Require 5n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",50.0,medium,moving average,DEMA = 2 * EMA1 - EMA2; EMA1 = EMA_n(P); EMA2 = EMA_n(EMA1),"date,close,high
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+","date,5-day,close
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+US,technical,"Calculate the percentage of days where Cisco's open was less than its 10-day Double Exponential Moving Average line from January 31, 2022 to September 08, 2022. (Unit: %) (Smoothing factor alpha = 2 / (n + 1); Require 5n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",51.3514,medium,moving average,DEMA = 2 * EMA1 - EMA2; EMA1 = EMA_n(P); EMA2 = EMA_n(EMA1),"date,close,high,open
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+US,technical,"What is the percentage of days where the open price is greater than the 30-day Triple Exponential Moving Average line for Schlumberger from October 09, 2024 to October 27, 2024? (Unit: %) (Smoothing factor alpha = 2 / (n + 1); Require 6n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",45.283,medium,moving average,TEMA = 3 * EMA1 - 3 * EMA2 + EMA3; EMA1 = EMA_n(P); EMA2 = EMA_n(EMA1); EMA3 = EMA_n(EMA2),"date,close,open
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+US,technical,"For Air Products from January 10, 2020 to March 21, 2020, what percentage of days had the close less than the 60-day Triple Exponential Moving Average line? (Unit: %) (Smoothing factor alpha = 2 / (n + 1); Require 6n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",37.931,medium,moving average,TEMA = 3 * EMA1 - 3 * EMA2 + EMA3; EMA1 = EMA_n(P); EMA2 = EMA_n(EMA1); EMA3 = EMA_n(EMA2),"date,close,open
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+"
+US,technical,"What is the percentage of days where the high price is greater than the 10-day Hull Moving Average line for Mosaic Company (The) from July 07, 2024 to August 22, 2024? (Unit: %) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",23.6842,medium,moving average,HMA = WMA_{\sqrt{n}}(2 * WMA_{n/2}(P) - WMA_n(P)),"date,close,high
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+"
+US,technical,"From August 25, 2024 to September 10, 2024, what proportion of days had Carrier Global's high price less than its 10-day Hull Moving Average line? (Unit: %) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",80.0,medium,moving average,HMA = WMA_{\sqrt{n}}(2 * WMA_{n/2}(P) - WMA_n(P)),"date,close,high
+2024-08-05,63.54999923706055,63.625
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+2024-08-12,64.29000091552734,64.80000305175781
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+2024-08-21,69.66000366210938,69.93499755859375
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+2024-08-23,71.25,71.5199966430664
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+2024-09-09,70.7300033569336,71.41999816894531
+2024-09-10,71.83000183105469,72.08999633789062
+","date,10-day,high
+2024-08-20,68.89277636210123,69.06999969482422
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+"
+US,technical,"During September 03, 2024 to November 08, 2024, what percentage of trading days had Humana's open less the 10-day Hull Moving Average line? Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",62.2642,medium,moving average,HMA = WMA_{\sqrt{n}}(2 * WMA_{n/2}(P) - WMA_n(P)),"date,close,high,open
+2024-08-12,348.2900085449219,352.1300048828125,351.45001220703125
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+"
+US,technical,"For Realty Income from August 09, 2022 to May 12, 2023, what percentage of days had the close less than the 5-day Hull Moving Average line? (Unit: %) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",49.4845,medium,moving average,HMA = WMA_{\sqrt{n}}(2 * WMA_{n/2}(P) - WMA_n(P)),"date,close,high,open
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+"
+US,technical,"Calculate the percentage of days where J.M. Smucker Company (The)'s high was less than its 20-day Hull Moving Average line from November 02, 2020 to December 01, 2020. (Unit: %) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",75.8621,medium,moving average,HMA = WMA_{\sqrt{n}}(2 * WMA_{n/2}(P) - WMA_n(P)),"date,close,high,open
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+","date,20-day,high
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+"
+US,technical,"How many times did the price break above the 60-day Simple Moving Average line for American Tower from September 07, 2021 to January 17, 2022? Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",4.0,medium,moving average,SMA_n = 1 / n * \sum_{i=0}^{n-1} P_{t-i},"date,close,low,open
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+2021-06-22,266.6099853515625,266.4800109863281,267.7799987792969
+2021-06-23,264.2200012207031,263.5199890136719,266.0
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+US,technical,"From May 28, 2021 to October 28, 2021, how many times did Huntington Ingalls Industries's price break below the 20-day Simple Moving Average line? Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",8.0,medium,moving average,SMA_n = 1 / n * \sum_{i=0}^{n-1} P_{t-i},"date,close,low,open
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+US,technical,"For Tesla between May 04, 2023 and January 01, 2024, how many times did the price break above the 60-day Simple Moving Average line? Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",9.0,medium,moving average,SMA_n = 1 / n * \sum_{i=0}^{n-1} P_{t-i},"date,close,low,open
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+"
+US,technical,"How many break above events of the 60-day Simple Moving Average line occurred for Southwest Airlines from January 12, 2023 to December 05, 2023? Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",4.0,medium,moving average,SMA_n = 1 / n * \sum_{i=0}^{n-1} P_{t-i},"date,close,low,open
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+"
+US,technical,"During March 01, 2024 to September 26, 2024, count the number of times Microchip Technology's close price break below the 5-day Simple Moving Average line. Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",27.0,medium,moving average,SMA_n = 1 / n * \sum_{i=0}^{n-1} P_{t-i},"date,close,low,open
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+US,technical,"How many times did the price break above the 20-day Weighted Moving Average line for Global Payments from August 15, 2022 to July 31, 2023? (Weights are 1, 2, ..., n) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",17.0,medium,moving average,WMA_n = \sum_{i=0}^{n-1} (n-i) * P_{t-i} / \sum_{j=1}^{n} j,"date,close,open,low,high
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+"
+US,technical,"From December 04, 2024 to August 17, 2025, how many times did PPL Corporation's price break below the 20-day Weighted Moving Average line? (Weights are 1, 2, ..., n) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",12.0,medium,moving average,WMA_n = \sum_{i=0}^{n-1} (n-i) * P_{t-i} / \sum_{j=1}^{n} j,"date,close,open,low,high
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+US,technical,"For Freeport-McMoRan between June 16, 2023 and January 31, 2024, how many times did the price break above the 60-day Weighted Moving Average line? (Weights are 1, 2, ..., n) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",6.0,medium,moving average,WMA_n = \sum_{i=0}^{n-1} (n-i) * P_{t-i} / \sum_{j=1}^{n} j,"date,close,open,low,high
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+US,technical,"How many break below events of the 20-day Weighted Moving Average line occurred for Take-Two Interactive from December 23, 2024 to January 15, 2025? (Weights are 1, 2, ..., n) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0,medium,moving average,WMA_n = \sum_{i=0}^{n-1} (n-i) * P_{t-i} / \sum_{j=1}^{n} j,"date,close,open,low,high
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+US,technical,"During July 02, 2024 to January 15, 2025, count the number of times Aflac's close price break above the 20-day Weighted Moving Average line. (Weights are 1, 2, ..., n) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",9.0,medium,moving average,WMA_n = \sum_{i=0}^{n-1} (n-i) * P_{t-i} / \sum_{j=1}^{n} j,"date,close,open,low,high
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+"
+US,technical,"How many times did the price break above the 10-day Exponential Moving Average line for General Dynamics from October 02, 2021 to October 22, 2021? (Smoothing factor alpha = 2 / (n + 1); Require 4n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",3.0,medium,moving average,"EMA_t = \alpha * P_t + (1 - \alpha) * EMA_{t-1}, \quad \alpha = 2 / (n + 1)","date,close,high,open
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+"
+US,technical,"From December 26, 2021 to November 27, 2022, how many times did American Tower's price break above the 10-day Exponential Moving Average line? (Smoothing factor alpha = 2 / (n + 1); Require 4n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",20.0,medium,moving average,"EMA_t = \alpha * P_t + (1 - \alpha) * EMA_{t-1}, \quad \alpha = 2 / (n + 1)","date,close,high,open
+2021-10-28,286.010009765625,289.989990234375,285.5
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+2021-11-11,272.4800109863281,276.70001220703125,276.1300048828125
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+US,technical,"For Alexandria Real Estate Equities between June 23, 2022 and September 28, 2022, how many times did the price break above the 10-day Exponential Moving Average line? (Smoothing factor alpha = 2 / (n + 1); Require 4n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",6.0,medium,moving average,"EMA_t = \alpha * P_t + (1 - \alpha) * EMA_{t-1}, \quad \alpha = 2 / (n + 1)","date,close,high,open
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+US,technical,"How many break below events of the 5-day Exponential Moving Average line occurred for Halliburton from January 26, 2020 to October 04, 2020? (Smoothing factor alpha = 2 / (n + 1); Require 4n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",22.0,medium,moving average,"EMA_t = \alpha * P_t + (1 - \alpha) * EMA_{t-1}, \quad \alpha = 2 / (n + 1)","date,close,high,open
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+US,technical,"During July 27, 2024 to June 26, 2025, count the number of times Insulet Corporation's close price break below the 20-day Exponential Moving Average line. (Smoothing factor alpha = 2 / (n + 1); Require 4n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",27.0,medium,moving average,"EMA_t = \alpha * P_t + (1 - \alpha) * EMA_{t-1}, \quad \alpha = 2 / (n + 1)","date,close,high,open
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+"
+US,technical,"How many times did the price break above the 30-day Double Exponential Moving Average line for Devon Energy from March 31, 2022 to September 09, 2022? (Smoothing factor alpha = 2 / (n + 1); Require 5n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",16.0,medium,moving average,DEMA = 2 * EMA1 - EMA2; EMA1 = EMA_n(P); EMA2 = EMA_n(EMA1),"date,close,high,open
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+US,technical,"From February 18, 2021 to April 13, 2021, how many times did Southwest Airlines's price break above the 60-day Double Exponential Moving Average line? (Smoothing factor alpha = 2 / (n + 1); Require 5n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",12.0,medium,moving average,DEMA = 2 * EMA1 - EMA2; EMA1 = EMA_n(P); EMA2 = EMA_n(EMA1),"date,close,high,open
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+US,technical,"For KLA Corporation between April 15, 2024 and July 30, 2024, how many times did the price break below the 20-day Double Exponential Moving Average line? (Smoothing factor alpha = 2 / (n + 1); Require 5n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",14.0,medium,moving average,DEMA = 2 * EMA1 - EMA2; EMA1 = EMA_n(P); EMA2 = EMA_n(EMA1),"date,close,high,open
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+US,technical,"How many break below events of the 30-day Double Exponential Moving Average line occurred for Baker Hughes from July 14, 2019 to February 08, 2020? (Smoothing factor alpha = 2 / (n + 1); Require 5n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",13.0,medium,moving average,DEMA = 2 * EMA1 - EMA2; EMA1 = EMA_n(P); EMA2 = EMA_n(EMA1),"date,close,high,open
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+US,technical,"During October 12, 2019 to March 02, 2020, count the number of times Steel Dynamics's close price break below the 30-day Double Exponential Moving Average line. (Smoothing factor alpha = 2 / (n + 1); Require 5n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",9.0,medium,moving average,DEMA = 2 * EMA1 - EMA2; EMA1 = EMA_n(P); EMA2 = EMA_n(EMA1),"date,close,high,open
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+US,technical,"From February 14, 2022 to February 10, 2023, how many times did Monolithic Power Systems's price break below the 10-day Triple Exponential Moving Average line? (Smoothing factor alpha = 2 / (n + 1); Require 6n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",49.0,medium,moving average,TEMA = 3 * EMA1 - 3 * EMA2 + EMA3; EMA1 = EMA_n(P); EMA2 = EMA_n(EMA1); EMA3 = EMA_n(EMA2),"date,close,open
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+US,technical,"For AT&T between February 22, 2025 and June 29, 2025, how many times did the price break below the 20-day Triple Exponential Moving Average line? (Smoothing factor alpha = 2 / (n + 1); Require 6n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",22.0,medium,moving average,TEMA = 3 * EMA1 - 3 * EMA2 + EMA3; EMA1 = EMA_n(P); EMA2 = EMA_n(EMA1); EMA3 = EMA_n(EMA2),"date,close,open
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+US,technical,"How many break below events of the 60-day Triple Exponential Moving Average line occurred for Brown & Brown from February 10, 2023 to March 16, 2023? (Smoothing factor alpha = 2 / (n + 1); Require 6n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",11.0,medium,moving average,TEMA = 3 * EMA1 - 3 * EMA2 + EMA3; EMA1 = EMA_n(P); EMA2 = EMA_n(EMA1); EMA3 = EMA_n(EMA2),"date,close,open
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+US,technical,"During May 03, 2020 to March 25, 2021, count the number of times Live Nation Entertainment's close price break below the 20-day Triple Exponential Moving Average line. (Smoothing factor alpha = 2 / (n + 1); Require 6n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",30.0,medium,moving average,TEMA = 3 * EMA1 - 3 * EMA2 + EMA3; EMA1 = EMA_n(P); EMA2 = EMA_n(EMA1); EMA3 = EMA_n(EMA2),"date,close,open
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+"
+US,technical,"How many times did the price break above the 5-day Hull Moving Average line for Bristol Myers Squibb from May 07, 2025 to July 27, 2025? Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",11.0,medium,moving average,HMA = WMA_{\sqrt{n}}(2 * WMA_{n/2}(P) - WMA_n(P)),"date,close,high,open
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+"
+US,technical,"From February 12, 2024 to January 24, 2025, how many times did Arista Networks's price break above the 10-day Hull Moving Average line? Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",38.0,medium,moving average,HMA = WMA_{\sqrt{n}}(2 * WMA_{n/2}(P) - WMA_n(P)),"date,close,high,open
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+US,technical,"For KKR & Co. between May 02, 2021 and February 14, 2022, how many times did the price break below the 10-day Hull Moving Average line? Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",33.0,medium,moving average,HMA = WMA_{\sqrt{n}}(2 * WMA_{n/2}(P) - WMA_n(P)),"date,close,high,open
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+US,technical,"How many break below events of the 20-day Hull Moving Average line occurred for Occidental Petroleum from July 18, 2025 to August 12, 2025? Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",2.0,medium,moving average,HMA = WMA_{\sqrt{n}}(2 * WMA_{n/2}(P) - WMA_n(P)),"date,close,high,open
+2025-06-04,41.90999984741211,43.220001220703125,42.65999984741211
+2025-06-05,41.81999969482422,42.31999969482422,42.27999877929688
+2025-06-06,42.540000915527344,42.84000015258789,42.130001068115234
+2025-06-09,43.2400016784668,43.630001068115234,43.0
+2025-06-10,43.90999984741211,44.41999816894531,43.43999862670898
+2025-06-11,44.84000015258789,44.970001220703125,44.369998931884766
+2025-06-12,44.7599983215332,44.77000045776367,44.470001220703125
+2025-06-13,46.45000076293945,46.63999938964844,46.560001373291016
+2025-06-16,45.33000183105469,46.58000183105469,46.09000015258789
+2025-06-17,45.97999954223633,46.709999084472656,45.97999954223633
+2025-06-18,45.34999847412109,46.810001373291016,46.2599983215332
+2025-06-20,45.630001068115234,45.900001525878906,45.560001373291016
+2025-06-23,43.95000076293945,47.33000183105469,46.88999938964844
+2025-06-24,42.47999954223633,43.54999923706055,42.630001068115234
+2025-06-25,42.41999816894531,42.84000015258789,42.43000030517578
+2025-06-26,43.15999984741211,43.2400016784668,42.5
+2025-06-27,42.59999847412109,43.310001373291016,43.29999923706055
+2025-06-30,42.0099983215332,42.43999862670898,42.38999938964844
+2025-07-01,42.86000061035156,43.2400016784668,42.06999969482422
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+2025-07-03,43.79999923706055,44.060001373291016,43.75
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+2025-07-08,45.75,45.869998931884766,43.36000061035156
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+2025-08-07,43.59000015258789,45.130001068115234,43.900001525878906
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+2025-08-12,44.150001525878906,44.7400016784668,43.869998931884766
+","date,20-day,close
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+2025-08-12,43.319514300689036,44.150001525878906
+"
+US,technical,"During September 07, 2020 to March 27, 2021, count the number of times KeyCorp's close price break above the 5-day Hull Moving Average line. Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.",36.0,medium,moving average,HMA = WMA_{\sqrt{n}}(2 * WMA_{n/2}(P) - WMA_n(P)),"date,close,high,open
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+2020-09-11,12.359999656677246,12.470000267028809,12.279999732971191
+2020-09-14,12.8100004196167,12.859999656677246,12.5
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+","date,5-day,close
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