| # The Proxy Quotes (pxyq) library | |
| includes a fuction for calling the cell value with respect to a column and row of the csv dataset table. It calls for proxy `stoploss distance, lotsize, and margins with leverages covering a betsize of 1 cash, commissions, swaps, spread,` and more. It only have one simple function call, and that is `pxyq.column('ASSET')`. | |
| - step 1: make sure you have `pxyq.py` in your directory. No need pip installations. | |
| - step 2: make an `import pxyq` is written on top of your code. | |
| - step 3: try calling the cell value by using the fuction call `pxyq.column('ASSET')`. | |
| The CSV file contents are in `dataset.csv`, and the only main python library is `pxyq.py`. | |
| --- | |
| # Sample dummy.py | |
| ##Function call exampple format: `pxyq.column('ASSET')` | |
| ```python | |
| import pxyq | |
| # Examples | |
| stoploss_distance = pxyq.proxy_stoploss_distance_covering_1_cash('NZDJPYc') | |
| print(stoploss_distance) # 0.041 | |
| dec_of_AUDJPYc = pxyq.true_decimal_digits('AUDJPYc') | |
| print(dec_of_AUDJPYc) # 3 | |
| margin_100 = pxyq.proxy_margin_with_leverage_1000_covering_1_cash('EURUSDc') | |
| print(margin_100) # 22.86 | |
| ``` | |
| --- | |
| # All ASSET for function call `pxyq.column('ASSET')` | |
| ```txt | |
| AUDCADc | |
| AUDCHFc | |
| AUDJPYc | |
| AUDNZDc | |
| AUDUSDc | |
| CADJPYc | |
| CHFJPYc | |
| EURAUDc | |
| EURCADc | |
| EURCHFc | |
| EURGBPc | |
| EURJPYc | |
| EURNZDc | |
| EURUSDc | |
| GBPAUDc | |
| GBPCADc | |
| GBPCHFc | |
| GBPJPYc | |
| GBPNZDc | |
| GBPUSDc | |
| NZDJPYc | |
| NZDUSDc | |
| USDCADc | |
| USDCHFc | |
| USDJPYc | |
| XAGUSDc | |
| XAUUSDc | |
| ``` | |
| --- | |
| # All columns for function call `pxyq.column('ASSET')` | |
| ```txt | |
| category | |
| true_decimal_digits | |
| proxy_stoploss_distance_covering_1_cash | |
| proxy_lotsize_covering_1_cash | |
| true_contract_size | |
| true_contract_type | |
| proxy_margin_with_leverage_50_covering_1_cash | |
| proxy_margin_with_leverage_100_covering_1_cash | |
| proxy_margin_with_leverage_200_covering_1_cash | |
| proxy_margin_with_leverage_1000_covering_1_cash | |
| true_tick_size | |
| proxy_bid_price | |
| proxy_ask_price | |
| proxy_spread_in_ticks | |
| proxy_spread_in_pips | |
| proxy_long_swap_in_pips_for_standard_accounts | |
| proxy_short_swap_in_pips_for_standard_accounts | |
| proxy_commission_per_lot_per_side_for_pro_accounts | |
| proxy_long_swap_in_pips_for_pro_accounts | |
| proxy_short_swap_in_pips_for_pro_accounts | |
| proxy_commission_per_lot_per_side_for_zero_accounts | |
| proxy_long_swap_in_pips_for_zero_accounts | |
| proxy_short_swap_in_pips_for_zero_accounts | |
| proxy_commission_per_lot_per_side_for_rawspread_accounts | |
| proxy_long_swap_in_pips_for_rawspread_accounts | |
| proxy_short_swap_in_pips_for_rawspread_accounts | |
| ``` | |
| # NOTE: the function call `pxyq.column('ASSET')` will get the value of a cell of the input column with its corresponding input ASSET (or the row) | |
| # Author: algorembrant |