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[
{
"id": "building_winning_algorithmic_trading_systems_kevin_j_davey",
"title": "Building Winning Algorithmic Trading Systems",
"author": "Kevin J. Davey",
"totalPages": 284,
"fileSize": 6309632,
"pdfUrl": "data/pdfs/building_winning_algorithmic_trading_systems_kevin_j_davey.pdf",
"coverUrl": "data/covers/building_winning_algorithmic_trading_systems_kevin_j_davey.jpg",
"layoutUrl": "data/layouts/building_winning_algorithmic_trading_systems_kevin_j_davey.json",
"toc": [
{
"level": 1,
"title": "BUILDING WINNING ALGORITHMIC TRADING SYSTEMS",
"page": 3
},
{
"level": 1,
"title": "CONTENTS",
"page": 9
},
{
"level": 1,
"title": "ACKNOWLEDGMENTS",
"page": 11
},
{
"level": 1,
"title": "ABOUT THE AUTHOR",
"page": 13
},
{
"level": 1,
"title": "INTRODUCTION",
"page": 15
},
{
"level": 2,
"title": "Who Can Benefit from This Book?",
"page": 17
},
{
"level": 1,
"title": "PART I A Trader’s Journey",
"page": 21
},
{
"level": 2,
"title": "CHAPTER 1 The Birth of a Trader",
"page": 23
},
{
"level": 3,
"title": "My Moving Average Debacle",
"page": 26
},
{
"level": 2,
"title": "CHAPTER 2 Enough Is Enough",
"page": 29
},
{
"level": 3,
"title": "Research",
"page": 29
},
{
"level": 3,
"title": "You Can’t Lose—Or Can You?",
"page": 31
},
{
"level": 3,
"title": "Averaging Down—Adding to Losers",
"page": 32
},
{
"level": 3,
"title": "The Wild Man Emerges",
"page": 34
},
{
"level": 3,
"title": "Time to Evaluate",
"page": 34
},
{
"level": 2,
"title": "CHAPTER 3 World Cup Championship of Futures Trading® Triumph",
"page": 37
},
{
"level": 3,
"title": "2005",
"page": 39
},
{
"level": 3,
"title": "2006",
"page": 41
},
{
"level": 3,
"title": "2007",
"page": 43
},
{
"level": 3,
"title": "Reflections on the Contest",
"page": 44
},
{
"level": 2,
"title": "CHAPTER 4 Making the Leap—Transitioning to Full Time",
"page": 47
},
{
"level": 3,
"title": "Confidence",
"page": 48
},
{
"level": 4,
"title": "What I Did Right",
"page": 48
},
{
"level": 4,
"title": "What I Did Wrong",
"page": 48
},
{
"level": 3,
"title": "Capital",
"page": 48
},
{
"level": 4,
"title": "What I Did Right",
"page": 49
},
{
"level": 4,
"title": "What I Did Wrong",
"page": 49
},
{
"level": 3,
"title": "Living Expenses",
"page": 50
},
{
"level": 4,
"title": "What I Did Right",
"page": 50
},
{
"level": 4,
"title": "What I Did Wrong",
"page": 50
},
{
"level": 3,
"title": "Family Support",
"page": 50
},
{
"level": 4,
"title": "What I Did Right",
"page": 50
},
{
"level": 4,
"title": "What I Did Wrong",
"page": 51
},
{
"level": 3,
"title": "Home Office Setup",
"page": 51
},
{
"level": 4,
"title": "What I Did Right",
"page": 51
},
{
"level": 4,
"title": "What I Did Wrong",
"page": 51
},
{
"level": 3,
"title": "Trading Strategies",
"page": 51
},
{
"level": 4,
"title": "What I Did Right",
"page": 51
},
{
"level": 4,
"title": "What I Did Wrong",
"page": 51
},
{
"level": 3,
"title": "Brokers",
"page": 52
},
{
"level": 4,
"title": "What I Did Right",
"page": 52
},
{
"level": 4,
"title": "What I Did Wrong",
"page": 52
},
{
"level": 3,
"title": "Free Time",
"page": 52
},
{
"level": 4,
"title": "What I Did Right",
"page": 53
},
{
"level": 4,
"title": "What I Did Wrong",
"page": 53
},
{
"level": 3,
"title": "Taking the Plunge",
"page": 53
},
{
"level": 1,
"title": "PART II Your Trading System",
"page": 55
},
{
"level": 2,
"title": "CHAPTER 5 Testing and Evaluating a Trading System",
"page": 57
},
{
"level": 3,
"title": "Historical Back Testing",
"page": 62
},
{
"level": 3,
"title": "Out-of-Sample Testing",
"page": 63
},
{
"level": 3,
"title": "Walk-Forward Analysis",
"page": 64
},
{
"level": 3,
"title": "Real-Time Analysis",
"page": 65
},
{
"level": 2,
"title": "CHAPTER 6 Preliminary Analysis",
"page": 67
},
{
"level": 2,
"title": "CHAPTER 7 Detailed Analysis",
"page": 75
},
{
"level": 3,
"title": "What Is Monte Carlo Analysis?",
"page": 75
},
{
"level": 3,
"title": "Inputs to Monte Carlo Simulator",
"page": 77
},
{
"level": 3,
"title": "Limitations of the Simulator",
"page": 78
},
{
"level": 3,
"title": "Simulator Output",
"page": 78
},
{
"level": 4,
"title": "Starting Equity",
"page": 78
},
{
"level": 4,
"title": "Risk of Ruin",
"page": 78
},
{
"level": 4,
"title": "Median Drawdown",
"page": 80
},
{
"level": 4,
"title": "Median $ Profit, Median Return",
"page": 82
},
{
"level": 4,
"title": "Return/Drawdown",
"page": 82
},
{
"level": 4,
"title": "Prob > 0",
"page": 83
},
{
"level": 3,
"title": "Summary",
"page": 83
},
{
"level": 2,
"title": "CHAPTER 8 Designing and Developing Systems",
"page": 85
},
{
"level": 3,
"title": "Isn’t It All Just Optimizing?",
"page": 89
},
{
"level": 1,
"title": "PART III Developing a Strategy",
"page": 91
},
{
"level": 2,
"title": "CHAPTER 9 Strategy Development–Goals and Objectives",
"page": 93
},
{
"level": 2,
"title": "CHAPTER 10 Trading Idea",
"page": 97
},
{
"level": 3,
"title": "How Will You Enter a Market?",
"page": 97
},
{
"level": 3,
"title": "How Will You Exit a Market?",
"page": 99
},
{
"level": 3,
"title": "What Markets Will You Trade?",
"page": 100
},
{
"level": 3,
"title": "What Type of System Do You Want?",
"page": 101
},
{
"level": 3,
"title": "What Time Frame/Bar Size Will You Trade?",
"page": 103
},
{
"level": 3,
"title": "How Will You Program the Strategy?",
"page": 105
},
{
"level": 2,
"title": "CHAPTER 11 Let’s Talk about Data",
"page": 107
},
{
"level": 3,
"title": "How Much?",
"page": 107
},
{
"level": 3,
"title": "Pit or Electronic Data?",
"page": 108
},
{
"level": 3,
"title": "Continuous Contracts",
"page": 110
},
{
"level": 3,
"title": "The Impact of Electronic Markets",
"page": 113
},
{
"level": 3,
"title": "Testing with Forex Data",
"page": 113
},
{
"level": 3,
"title": "Summary",
"page": 115
},
{
"level": 2,
"title": "CHAPTER 12 Limited Testing",
"page": 117
},
{
"level": 3,
"title": "Entry Testing",
"page": 118
},
{
"level": 4,
"title": "Fixed-Stop and Target Exit",
"page": 119
},
{
"level": 4,
"title": "Fixed-Bar Exit",
"page": 119
},
{
"level": 4,
"title": "Random Exit",
"page": 119
},
{
"level": 4,
"title": "Entry Evaluation Criteria",
"page": 119
},
{
"level": 3,
"title": "Exit Testing",
"page": 120
},
{
"level": 4,
"title": "Similar-Approach Entry",
"page": 120
},
{
"level": 4,
"title": "Random Entry",
"page": 121
},
{
"level": 3,
"title": "Exit Evaluation Criteria",
"page": 121
},
{
"level": 3,
"title": "Core System Testing",
"page": 121
},
{
"level": 3,
"title": "Monkey See, Monkey Do",
"page": 123
},
{
"level": 4,
"title": "Test 1: “Monkey Entry”",
"page": 123
},
{
"level": 4,
"title": "Test 2: “Monkey Exit”",
"page": 124
},
{
"level": 4,
"title": "Test 3: “Monkey Entry, Monkey Exit”",
"page": 124
},
{
"level": 4,
"title": "Time Frames",
"page": 124
},
{
"level": 4,
"title": "Monkey Testing—Example",
"page": 125
},
{
"level": 2,
"title": "CHAPTER 13 In-Depth Testing/Walk-Forward Analysis",
"page": 129
},
{
"level": 3,
"title": "No Parameters",
"page": 130
},
{
"level": 3,
"title": "A Walk-Forward Primer",
"page": 131
},
{
"level": 3,
"title": "Walk-Forward Inputs",
"page": 135
},
{
"level": 4,
"title": "In Period",
"page": 136
},
{
"level": 4,
"title": "Out Period",
"page": 136
},
{
"level": 3,
"title": "Fitness Function",
"page": 136
},
{
"level": 4,
"title": "Net Profit",
"page": 137
},
{
"level": 4,
"title": "Linearity of Equity Curve",
"page": 137
},
{
"level": 4,
"title": "Return on Account",
"page": 137
},
{
"level": 3,
"title": "Anchored/Unanchored",
"page": 138
},
{
"level": 3,
"title": "Running the Analysis",
"page": 139
},
{
"level": 3,
"title": "Put the Walk-Forward Strategy Together",
"page": 141
},
{
"level": 2,
"title": "CHAPTER 14 Monte Carlo Analysis and Incubation",
"page": 143
},
{
"level": 3,
"title": "Incubation",
"page": 144
},
{
"level": 3,
"title": "Evaluating Incubation",
"page": 146
},
{
"level": 2,
"title": "CHAPTER 15 Diversification",
"page": 147
},
{
"level": 3,
"title": "Designing with Diversification in Mind",
"page": 148
},
{
"level": 3,
"title": "Measuring Diversification",
"page": 149
},
{
"level": 4,
"title": "Daily Return Correlation",
"page": 149
},
{
"level": 4,
"title": "Linearity of Equity Curve",
"page": 150
},
{
"level": 4,
"title": "Maximum Drawdown",
"page": 150
},
{
"level": 4,
"title": "Monte Carlo, Return/Drawdown",
"page": 150
},
{
"level": 2,
"title": "CHAPTER 16 Position Sizing and Money Management",
"page": 153
},
{
"level": 3,
"title": "No Optimum Position Sizing",
"page": 153
},
{
"level": 3,
"title": "Risk and Reward Are a Team",
"page": 154
},
{
"level": 3,
"title": "Position Sizing Can Be Optimized",
"page": 154
},
{
"level": 3,
"title": "Losing Systems Cannot Become Winners",
"page": 154
},
{
"level": 3,
"title": "Winning Systems Can Become Losers",
"page": 155
},
{
"level": 3,
"title": "The Fantasy of Size",
"page": 155
},
{
"level": 3,
"title": "Short Term—Go for Broke",
"page": 156
},
{
"level": 3,
"title": "No Position Sizing = No Good!",
"page": 156
},
{
"level": 3,
"title": "Strategy, Then Position Size, or Strategy and Position Size Together?",
"page": 156
},
{
"level": 3,
"title": "Positioning Size—Single System",
"page": 157
},
{
"level": 3,
"title": "Positioning Size—Multiple Systems",
"page": 158
},
{
"level": 2,
"title": "CHAPTER 17 Documenting the Process",
"page": 161
},
{
"level": 3,
"title": "Trading Goals",
"page": 161
},
{
"level": 3,
"title": "Trading Idea",
"page": 161
},
{
"level": 3,
"title": "Limited Testing",
"page": 164
},
{
"level": 3,
"title": "Walk-Forward Testing",
"page": 165
},
{
"level": 3,
"title": "Monte Carlo Testing",
"page": 165
},
{
"level": 3,
"title": "Incubation Testing",
"page": 165
},
{
"level": 3,
"title": "Diversification Check",
"page": 166
},
{
"level": 3,
"title": "Position-Sizing Check",
"page": 166
},
{
"level": 3,
"title": "Final Notes",
"page": 166
},
{
"level": 3,
"title": "One Final List",
"page": 166
},
{
"level": 1,
"title": "PART IV Creating a System",
"page": 167
},
{
"level": 2,
"title": "CHAPTER 18 Goals, Initial and Walk-Forward Testing",
"page": 169
},
{
"level": 3,
"title": "Developing a New Strategy",
"page": 169
},
{
"level": 3,
"title": "Limited Testing",
"page": 173
},
{
"level": 3,
"title": "Walk-Forward Testing",
"page": 175
},
{
"level": 2,
"title": "CHAPTER 19 Monte Carlo Testing and Incubation",
"page": 177
},
{
"level": 3,
"title": "Euro Day Strategy",
"page": 177
},
{
"level": 3,
"title": "Euro Night Strategy",
"page": 178
},
{
"level": 3,
"title": "Euro Day and Night Strategy",
"page": 181
},
{
"level": 3,
"title": "Incubation",
"page": 183
},
{
"level": 3,
"title": "Are Results Similar?",
"page": 184
},
{
"level": 3,
"title": "Final Information",
"page": 185
},
{
"level": 3,
"title": "Position Sizing",
"page": 186
},
{
"level": 3,
"title": "Correlation with Other Strategies",
"page": 186
},
{
"level": 3,
"title": "Monte Carlo—Consistency",
"page": 186
},
{
"level": 3,
"title": "Eliminating Big Days",
"page": 188
},
{
"level": 3,
"title": "Outlier Days",
"page": 188
},
{
"level": 1,
"title": "PART V Considerations before Going Live",
"page": 189
},
{
"level": 2,
"title": "CHAPTER 20 Account and Position Sizing",
"page": 191
},
{
"level": 3,
"title": "When to Quit",
"page": 191
},
{
"level": 3,
"title": "Minimum Funding Size",
"page": 194
},
{
"level": 3,
"title": "Position Sizing",
"page": 194
},
{
"level": 3,
"title": "Unequal Position Sizing",
"page": 199
},
{
"level": 2,
"title": "CHAPTER 21 Trading Psychology",
"page": 201
},
{
"level": 3,
"title": "When to Begin Trading",
"page": 202
},
{
"level": 3,
"title": "When to Quit",
"page": 204
},
{
"level": 2,
"title": "CHAPTER 22 Other Considerations before Going Live",
"page": 209
},
{
"level": 3,
"title": "Accounting, Trading Brokers",
"page": 209
},
{
"level": 3,
"title": "Automation, Unattended, VPS, Where Are Orders Kept?",
"page": 210
},
{
"level": 4,
"title": "Backup Plans",
"page": 210
},
{
"level": 4,
"title": "To Automate or Not to Automate?",
"page": 211
},
{
"level": 4,
"title": "Attended, Unattended?",
"page": 211
},
{
"level": 4,
"title": "VPS",
"page": 211
},
{
"level": 4,
"title": "Where Orders Are Kept",
"page": 211
},
{
"level": 3,
"title": "Rollover Considerations",
"page": 212
},
{
"level": 4,
"title": "Real World—What Your Actual Trading Account Sees",
"page": 213
},
{
"level": 4,
"title": "Strategy World—What Your Strategy, Acting on a Back-Adjusted Continuous Contract, Thinks Is Happening",
"page": 213
},
{
"level": 4,
"title": "Method 1: Quick Roll (Most Expensive Typically)",
"page": 213
},
{
"level": 4,
"title": "Method 2: Leg in Roll (Cheapest Method Typically if Done Correctly)",
"page": 214
},
{
"level": 4,
"title": "Method 3: Exchange Supported Spread Roll (Cost Usually between Methods 1 and 2)",
"page": 214
},
{
"level": 1,
"title": "PART VI Monitoring a Live Strategy",
"page": 217
},
{
"level": 2,
"title": "CHAPTER 23 The Ins and Outs of Monitoring a Live Strategy",
"page": 219
},
{
"level": 3,
"title": "How to Build an Equity Curve (and a Drawdown Curve, Too!)",
"page": 220
},
{
"level": 4,
"title": "Equity Curve",
"page": 220
},
{
"level": 4,
"title": "Drawdown Curve",
"page": 221
},
{
"level": 3,
"title": "Monthly Summary Chart",
"page": 221
},
{
"level": 3,
"title": "How to Use This Graph",
"page": 229
},
{
"level": 3,
"title": "Tracking Expected and Actual Performance",
"page": 230
},
{
"level": 2,
"title": "CHAPTER 24 Real Time",
"page": 233
},
{
"level": 3,
"title": "Four-Week Review—September 13, 2013, End Date",
"page": 233
},
{
"level": 3,
"title": "Update after Week 7",
"page": 234
},
{
"level": 3,
"title": "Week 8 Review",
"page": 236
},
{
"level": 3,
"title": "Week 9—Automated Trading Issues",
"page": 238
},
{
"level": 3,
"title": "Week 9—Limit Order Fills (October 28, 2013)",
"page": 240
},
{
"level": 3,
"title": "Week 12 Review",
"page": 241
},
{
"level": 3,
"title": "Week 13—Time Limit Review",
"page": 243
},
{
"level": 3,
"title": "Week 15 Review",
"page": 243
},
{
"level": 3,
"title": "Future Reviews",
"page": 245
},
{
"level": 1,
"title": "PART VII Cautionary Tales",
"page": 247
},
{
"level": 2,
"title": "CHAPTER 25 Delusions of Grandeur",
"page": 249
},
{
"level": 3,
"title": "Don Demo",
"page": 250
},
{
"level": 3,
"title": "Gus the Guru",
"page": 250
},
{
"level": 3,
"title": "Paul the Predictor",
"page": 250
},
{
"level": 3,
"title": "Cal the Complication King",
"page": 251
},
{
"level": 3,
"title": "Pay Me Peter",
"page": 251
},
{
"level": 3,
"title": "Frank Five Hundred",
"page": 252
},
{
"level": 3,
"title": "Billy the Boaster",
"page": 252
},
{
"level": 3,
"title": "Connie the Compounder",
"page": 253
},
{
"level": 3,
"title": "Ian versus the Illuminati",
"page": 253
},
{
"level": 3,
"title": "Suki the Spinner",
"page": 253
},
{
"level": 3,
"title": "Paolo the Plagiarizer",
"page": 254
},
{
"level": 3,
"title": "Slick Sam",
"page": 254
},
{
"level": 3,
"title": "The Delusion Conclusion",
"page": 255
},
{
"level": 1,
"title": "CONCLUSION",
"page": 257
},
{
"level": 1,
"title": "APPENDIX A Monkey Trading Example, TradeStation Easy Language Code",
"page": 261
},
{
"level": 2,
"title": "Strategy 1: Baseline Strategy (No Randomness)",
"page": 261
},
{
"level": 2,
"title": "Strategy 2: Random Entry, Baseline Exit Strategy",
"page": 263
},
{
"level": 2,
"title": "Strategy 3: Baseline Entry, Random Exit Strategy",
"page": 265
},
{
"level": 2,
"title": "Strategy 4: Random Entry, Random Exit Strategy",
"page": 266
},
{
"level": 1,
"title": "APPENDIX B Euro Night Strategy, TradeStation Easy Language Format",
"page": 269
},
{
"level": 1,
"title": "APPENDIX C Euro Day Strategy, TradeStation Easy Language Format",
"page": 273
},
{
"level": 1,
"title": "ABOUT THE COMPANION WEBSITE",
"page": 277
},
{
"level": 1,
"title": "INDEX",
"page": 279
},
{
"level": 1,
"title": "EULA",
"page": 284
}
],
"category": "Trading",
"tags": [
"Algorithmic",
"Quantitative",
"Trading Systems"
]
},
{
"id": "definitive_guide_to_position_sizing_van_k_tharp",
"title": "Definitive Guide to Position Sizing",
"author": "Van K. Tharp",
"totalPages": 399,
"fileSize": 28576510,
"pdfUrl": "data/pdfs/definitive_guide_to_position_sizing_van_k_tharp.pdf",
"coverUrl": "data/covers/definitive_guide_to_position_sizing_van_k_tharp.jpg",
"layoutUrl": "data/layouts/definitive_guide_to_position_sizing_van_k_tharp.json",
"toc": [],
"category": "Trading",
"tags": [
"Position Sizing",
"Risk Management",
"Money Management"
]
},
{
"id": "evidence_based_technical_analysis_david_aronson",
"title": "Evidence-Based Technical Analysis",
"author": "David Aronson",
"totalPages": 528,
"fileSize": 3130487,
"pdfUrl": "data/pdfs/evidence_based_technical_analysis_david_aronson.pdf",
"coverUrl": "data/covers/evidence_based_technical_analysis_david_aronson.jpg",
"layoutUrl": "data/layouts/evidence_based_technical_analysis_david_aronson.json",
"toc": [],
"category": "Trading",
"tags": [
"Technical Analysis",
"Quantitative",
"Scientific Method"
]
},
{
"id": "fa_kathylein_day_trading_and_swing_trading_the_currency_mark",
"title": "Day Trading and Swing Trading the Currency Market",
"author": "Kathy Lien",
"totalPages": 307,
"fileSize": 5984848,
"pdfUrl": "data/pdfs/fa_kathylein_day_trading_and_swing_trading_the_currency_mark.pdf",
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"layoutUrl": "data/layouts/fa_kathylein_day_trading_and_swing_trading_the_currency_mark.json",
"toc": [
{
"level": 1,
"title": "Day Trading & Swing Trading the Currency Market",
"page": 1
},
{
"level": 2,
"title": "Contents",
"page": 7
},
{
"level": 2,
"title": "Preface",
"page": 9
},
{
"level": 3,
"title": "FOREIGN EXCHANGE—THE FASTEST-GROWING MARKET OF OUR TIME",
"page": 10
},
{
"level": 3,
"title": "HISTORICAL EVENTS IN THE FX MARKET",
"page": 10
},
{
"level": 3,
"title": "DIFFERENT WAYS TO TRADE THE FX MARKET",
"page": 10
},
{
"level": 3,
"title": "WHAT MOVES THE CURRENCY MARKET?",
"page": 11
},
{
"level": 3,
"title": "WHAT ARE THE BEST TIMES TO TRADE FOR INDIVIDUAL CURRENCY PAIRS?",
"page": 11
},
{
"level": 3,
"title": "WHAT ARE THE MOST MARKET-MOVING ECONOMIC DATA?",
"page": 11
},
{
"level": 3,
"title": "WHAT ARE CURRENCY CORRELATIONS AND HOW DO TRADERS USE THEM?",
"page": 12
},
{
"level": 3,
"title": "HOW TO TRADE LIKE A HEDGE FUND MANAGER",
"page": 12
},
{
"level": 3,
"title": "SEASONALITY IN THE CURRENCY MARKET",
"page": 12
},
{
"level": 3,
"title": "TRADE PARAMETERS FOR DIFFERENT MARKET CONDITIONS",
"page": 13
},
{
"level": 3,
"title": "TECHNICAL TRADING STRATEGIES",
"page": 13
},
{
"level": 3,
"title": "FUNDAMENTAL TRADING STRATEGIES",
"page": 13
},
{
"level": 3,
"title": "PROFILES AND UNIQUE CHARACTERISTICS OF THE MAJOR CURRENCY PAIRS",
"page": 14
},
{
"level": 2,
"title": "Acknowledgments",
"page": 15
},
{
"level": 2,
"title": "Chapter 1: Foreign Exchange—The Fastest-Growing Market of Our Time",
"page": 17
},
{
"level": 3,
"title": "EFFECTS OF CURRENCIES ON STOCKS AND BONDS",
"page": 17
},
{
"level": 3,
"title": "COMPARING THE FX MARKET WITH FUTURES AND EQUITIES",
"page": 19
},
{
"level": 3,
"title": "DIFFERENT WAYS TO TRADE FX",
"page": 29
},
{
"level": 3,
"title": "WHO ARE THE PLAYERS IN THE FX MARKET?",
"page": 32
},
{
"level": 2,
"title": "Chapter 2: Historical Events in the FX Market",
"page": 37
},
{
"level": 3,
"title": "BRETTON WOODS: ANOINTING THE DOLLAR AS THE WORLD CURRENCY (1944)",
"page": 37
},
{
"level": 3,
"title": "END OF BRETTON WOODS: FREE MARKET CAPITALISM IS BORN (1971)",
"page": 39
},
{
"level": 3,
"title": "PLAZA ACCORD—DEVALUATION OF U. S. DOLLAR (1985)",
"page": 40
},
{
"level": 3,
"title": "GEORGE SOROS—THE MAN WHO BROKE THE BANK OF ENGLAND",
"page": 43
},
{
"level": 3,
"title": "ASIAN FINANCIAL CRISIS (1997– 1998)",
"page": 46
},
{
"level": 3,
"title": "INTRODUCTION OF THE EURO (1999)",
"page": 49
},
{
"level": 2,
"title": "Chapter 3: What Moves the Currency Market in the Long Term?",
"page": 53
},
{
"level": 3,
"title": "FUNDAMENTAL ANALYSIS",
"page": 54
},
{
"level": 3,
"title": "TECHNICAL ANALYSIS",
"page": 60
},
{
"level": 3,
"title": "CURRENCY FORECASTING—WHAT BOOKWORMS AND ECONOMISTS LOOK AT",
"page": 62
},
{
"level": 2,
"title": "Chapter 4: What Moves the Market in the Short Term?",
"page": 75
},
{
"level": 3,
"title": "NOT ALL ECONOMIC RELEASES ARE CREATED EQUAL",
"page": 75
},
{
"level": 3,
"title": "RELATIVE IMPORTANCE OF ECONOMIC DATA CHANGES WITH TIME",
"page": 78
},
{
"level": 3,
"title": "GROSS DOMESTIC PRODUCT—NO LONGER A BIG DEAL",
"page": 79
},
{
"level": 3,
"title": "HOW CAN YOU USE THIS TO YOUR BENEFIT?",
"page": 79
},
{
"level": 3,
"title": "RESOURCE",
"page": 81
},
{
"level": 2,
"title": "Chapter 5: What Are the Best Times to Trade for Individual Currency Pairs?",
"page": 83
},
{
"level": 3,
"title": "ASIAN SESSION (TOKYO): 7pm-4am est",
"page": 83
},
{
"level": 3,
"title": "U. S. SESSION (NEW YORK): 8am-5pm est",
"page": 86
},
{
"level": 3,
"title": "EUROPEAN SESSION (LONDON): 2am-12pm est",
"page": 87
},
{
"level": 3,
"title": "U. S.– EUROPEAN OVERLAP: 8am-12pm est",
"page": 89
},
{
"level": 3,
"title": "EUROPEAN– ASIAN OVERLAP: 2am-4am est",
"page": 89
},
{
"level": 2,
"title": "Chapter 6: What Are Currency Correlations and How Do Traders Use Them?",
"page": 91
},
{
"level": 3,
"title": "POSITIVE/NEGATIVE CORRELATIONS: WHAT THEY MEAN AND HOW TO USE THEM",
"page": 92
},
{
"level": 3,
"title": "IMPORTANT FACT ABOUT CORRELATIONS: THEY CHANGE",
"page": 93
},
{
"level": 3,
"title": "CALCULATING CORRELATIONS YOURSELF",
"page": 93
},
{
"level": 3,
"title": "SAMPLE CORRELATIONS RESULTS",
"page": 94
},
{
"level": 2,
"title": "Chapter 7: Seasonality—How It Applies to the FX Market",
"page": 97
},
{
"level": 3,
"title": "SEASONALITY IN JANUARY",
"page": 98
},
{
"level": 3,
"title": "SUMMER SEASONALITY",
"page": 101
},
{
"level": 3,
"title": "OTHER CASES OF SEASONALITY",
"page": 103
},
{
"level": 3,
"title": "INCORPORATING SEASONALITY INTO YOUR TRADING",
"page": 105
},
{
"level": 2,
"title": "Chapter 8: Trade Parameters for Different Market Conditions",
"page": 107
},
{
"level": 3,
"title": "KEEPING A TRADING JOURNAL",
"page": 107
},
{
"level": 3,
"title": "HAVE A TOOLBOX—USE WHAT WORKS FOR THE CURRENT MARKET ENVIRONMENT",
"page": 114
},
{
"level": 3,
"title": "STEP ONE—PROFILE TRADING ENVIRONMENT",
"page": 115
},
{
"level": 3,
"title": "STEP TWO—DETERMINE TRADING TIME HORIZON",
"page": 118
},
{
"level": 3,
"title": "RISK MANAGEMENT",
"page": 120
},
{
"level": 3,
"title": "PSYCHOLOGICAL OUTLOOK",
"page": 123
},
{
"level": 2,
"title": "Chapter 9: Technical Trading Strategies",
"page": 125
},
{
"level": 3,
"title": "MULTIPLE TIME FRAME ANALYSIS",
"page": 125
},
{
"level": 3,
"title": "FADING THE DOUBLE ZEROS",
"page": 131
},
{
"level": 3,
"title": "WAITING FOR THE REAL DEAL",
"page": 136
},
{
"level": 3,
"title": "INSIDE DAY BREAKOUT PLAY",
"page": 140
},
{
"level": 3,
"title": "THE FADER",
"page": 145
},
{
"level": 3,
"title": "FILTERING FALSE BREAKOUTS",
"page": 148
},
{
"level": 3,
"title": "CHANNEL STRATEGY",
"page": 151
},
{
"level": 3,
"title": "PERFECT ORDER",
"page": 154
},
{
"level": 3,
"title": "HOW TO TRADE NEWS RELEASES",
"page": 156
},
{
"level": 3,
"title": "20–100 SHORT-TERM MOMENTUM STRATEGY",
"page": 166
},
{
"level": 3,
"title": "HIGH-PROBABILITY TURN STRATEGY",
"page": 171
},
{
"level": 2,
"title": "Chapter 10: Fundamental Trading Strategies",
"page": 181
},
{
"level": 3,
"title": "PICKING THE STRONGEST PAIRING",
"page": 181
},
{
"level": 3,
"title": "LEVERAGED CARRY TRADE",
"page": 184
},
{
"level": 3,
"title": "FUNDAMENTAL TRADING STRATEGY: STAYING ON TOP OF MACROECONOMIC EVENTS",
"page": 192
},
{
"level": 3,
"title": "COMMODITY PRICES AS A LEADING INDICATOR",
"page": 196
},
{
"level": 3,
"title": "USING BOND SPREADS AS A LEADING INDICATOR FOR FX",
"page": 201
},
{
"level": 3,
"title": "FUNDAMENTAL TRADING STRATEGY: RISK REVERSALS",
"page": 205
},
{
"level": 3,
"title": "USING OPTION VOLATILITIES TO TIME MARKET MOVEMENTS",
"page": 207
},
{
"level": 3,
"title": "FUNDAMENTAL TRADING STRATEGY: INTERVENTION",
"page": 211
},
{
"level": 3,
"title": "USING EQUITIES TO TRADE FX",
"page": 216
},
{
"level": 3,
"title": "TRADING THE CORRELATION WITH FUNDAMENTALS",
"page": 219
},
{
"level": 3,
"title": "TRADING THE CORRELATION WITH TECHNICALS",
"page": 220
},
{
"level": 2,
"title": "Chapter 11: How to Trade Like a Hedge Fund Manager",
"page": 223
},
{
"level": 3,
"title": "PROPERLY DEFINING THE TRADING STRATEGY",
"page": 224
},
{
"level": 3,
"title": "THE ART OF ENTERING AND EXITING",
"page": 226
},
{
"level": 3,
"title": "TEST DRIVE",
"page": 227
},
{
"level": 3,
"title": "GETTING INTIMATE",
"page": 228
},
{
"level": 3,
"title": "SELF-REFLECTION",
"page": 229
},
{
"level": 2,
"title": "Chapter 12: Profiles and Unique Characteristics of Major Currency Pairs",
"page": 231
},
{
"level": 3,
"title": "CURRENCY PROFILE: U.S. DOLLAR (USD)",
"page": 231
},
{
"level": 3,
"title": "CURRENCY PROFILE: EURO (EUR)",
"page": 240
},
{
"level": 3,
"title": "CURRENCY PROFILE: BRITISH POUND (GBP)",
"page": 249
},
{
"level": 3,
"title": "CURRENCY PROFILE: SWISS FRANC (CHF)",
"page": 257
},
{
"level": 3,
"title": "CURRENCY PROFILE: JAPANESE YEN (JPY)",
"page": 263
},
{
"level": 3,
"title": "CURRENCY PROFILE: AUSTRALIAN DOLLAR (AUD)",
"page": 270
},
{
"level": 3,
"title": "CURRENCY PROFILE: NEW ZEALAND DOLLAR (NZD)",
"page": 276
},
{
"level": 3,
"title": "CURRENCY PROFILE: CANADIAN DOLLAR (CAD)",
"page": 283
},
{
"level": 2,
"title": "About the Author",
"page": 289
},
{
"level": 2,
"title": "Index",
"page": 291
}
],
"category": "Trading",
"tags": [
"Forex",
"Day Trading",
"Swing Trading"
]
},
{
"id": "quantitative_trading_ernest_p_chan_z_library_sk_1lib_sk_z_li",
"title": "Quantitative Trading",
"author": "Ernest P. Chan",
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"page": 1
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{
"level": 1,
"title": "Title Page",
"page": 5
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{
"level": 1,
"title": "Copyright Page",
"page": 6
},
{
"level": 1,
"title": "Contents",
"page": 9
},
{
"level": 1,
"title": "Preface to the 2nd Edition",
"page": 13
},
{
"level": 1,
"title": "Preface",
"page": 17
},
{
"level": 1,
"title": "Acknowledgments",
"page": 23
},
{
"level": 1,
"title": "Chapter 1 The Whats, Whos, and Whys of Quantitative Trading",
"page": 25
},
{
"level": 2,
"title": "Who Can Become a Quantitative Trader?",
"page": 26
},
{
"level": 2,
"title": "The Business Case for Quantitative Trading",
"page": 28
},
{
"level": 3,
"title": "Scalability",
"page": 29
},
{
"level": 3,
"title": "Demand on Time",
"page": 29
},
{
"level": 3,
"title": "The Nonnecessity of Marketing",
"page": 31
},
{
"level": 2,
"title": "The Way Forward",
"page": 32
},
{
"level": 1,
"title": "Chapter 2 Fishing for Ideas",
"page": 35
},
{
"level": 2,
"title": "How to Identify a Strategy that Suits You",
"page": 38
},
{
"level": 3,
"title": "Your Working Hours",
"page": 38
},
{
"level": 3,
"title": "Your Programming Skills",
"page": 39
},
{
"level": 3,
"title": "Your Trading Capital",
"page": 39
},
{
"level": 3,
"title": "Your Goal",
"page": 43
},
{
"level": 2,
"title": "A Taste for Plausible Strategies and Their Pitfalls",
"page": 44
},
{
"level": 3,
"title": "How Does It Compare with a Benchmark, and How Consistent Are Its Returns?",
"page": 44
},
{
"level": 3,
"title": "How Deep and Long Is the Drawdown?",
"page": 47
},
{
"level": 3,
"title": "How Will Transaction Costs Affect the Strategy?",
"page": 48
},
{
"level": 3,
"title": "Does the Data Suffer from Survivorship Bias?",
"page": 50
},
{
"level": 3,
"title": "How Did the Performance of the Strategy Change over the Years?",
"page": 51
},
{
"level": 3,
"title": "Does the Strategy Suffer from Data-Snooping Bias?",
"page": 52
},
{
"level": 3,
"title": "Does the Strategy “Fly under the Radar” of Institutional Money Managers?",
"page": 54
},
{
"level": 2,
"title": "Summary",
"page": 54
},
{
"level": 2,
"title": "References",
"page": 55
},
{
"level": 1,
"title": "Chapter 3 Backtesting",
"page": 57
},
{
"level": 2,
"title": "Common Backtesting Platforms",
"page": 58
},
{
"level": 3,
"title": "Excel",
"page": 58
},
{
"level": 3,
"title": "MATLAB",
"page": 58
},
{
"level": 3,
"title": "Python",
"page": 60
},
{
"level": 3,
"title": "R",
"page": 62
},
{
"level": 3,
"title": "QuantConnect",
"page": 64
},
{
"level": 3,
"title": "Blueshift",
"page": 64
},
{
"level": 2,
"title": "Finding and Using Historical Databases",
"page": 64
},
{
"level": 3,
"title": "Are the Data Split and Dividend Adjusted?",
"page": 65
},
{
"level": 3,
"title": "Are the Data Survivorship-Bias Free?",
"page": 68
},
{
"level": 3,
"title": "Does Your Strategy Use High and Low Data?",
"page": 70
},
{
"level": 2,
"title": "Performance Measurement",
"page": 71
},
{
"level": 2,
"title": "Common Backtesting Pitfalls to Avoid",
"page": 81
},
{
"level": 3,
"title": "Look-Ahead Bias",
"page": 82
},
{
"level": 3,
"title": "Data-Snooping Bias",
"page": 83
},
{
"level": 2,
"title": "Transaction Costs",
"page": 96
},
{
"level": 2,
"title": "Strategy Refinement",
"page": 101
},
{
"level": 2,
"title": "Summary",
"page": 102
},
{
"level": 2,
"title": "References",
"page": 103
},
{
"level": 1,
"title": "Chapter 4 Setting Up Your Business",
"page": 105
},
{
"level": 2,
"title": "Business Structure: Retail or Proprietary?",
"page": 105
},
{
"level": 2,
"title": "Choosing a Brokerage or Proprietary Trading Firm",
"page": 109
},
{
"level": 2,
"title": "Physical Infrastructure",
"page": 111
},
{
"level": 2,
"title": "Summary",
"page": 113
},
{
"level": 2,
"title": "References",
"page": 115
},
{
"level": 1,
"title": "Chapter 5 ExecutionSystems",
"page": 117
},
{
"level": 2,
"title": "What an Automated Trading System Can Do for You",
"page": 117
},
{
"level": 3,
"title": "Building a Semiautomated Trading System",
"page": 119
},
{
"level": 3,
"title": "Building a Fully Automated Trading System",
"page": 122
},
{
"level": 2,
"title": "Minimizing Transaction Costs",
"page": 125
},
{
"level": 2,
"title": "Testing Your System by Paper Trading",
"page": 127
},
{
"level": 2,
"title": "Why Does Actual Performance Diverge from Expectations?",
"page": 128
},
{
"level": 2,
"title": "Summary",
"page": 131
},
{
"level": 1,
"title": "Chapter 6 Money and Risk Management",
"page": 133
},
{
"level": 2,
"title": "Optimal Capital Allocation and Leverage",
"page": 133
},
{
"level": 2,
"title": "Risk Management",
"page": 144
},
{
"level": 3,
"title": "Model Risk",
"page": 148
},
{
"level": 3,
"title": "Software Risk",
"page": 149
},
{
"level": 3,
"title": "Natural Disaster Risk",
"page": 149
},
{
"level": 2,
"title": "Psychological Preparedness",
"page": 149
},
{
"level": 2,
"title": "Summary",
"page": 154
},
{
"level": 2,
"title": "Appendix: A Simple Derivation of the Kelly Formula when Return Distribution Is Gaussian",
"page": 155
},
{
"level": 2,
"title": "References",
"page": 156
},
{
"level": 1,
"title": "Chapter 7 Special Topics in Quantitative Trading",
"page": 157
},
{
"level": 2,
"title": "Mean-Reverting versus Momentum Strategies",
"page": 158
},
{
"level": 2,
"title": "Regime Change and Conditional Parameter Optimization",
"page": 161
},
{
"level": 2,
"title": "Stationarity and Cointegration",
"page": 171
},
{
"level": 2,
"title": "Factor Models",
"page": 184
},
{
"level": 2,
"title": "What Is Your Exit Strategy?",
"page": 193
},
{
"level": 2,
"title": "Seasonal Trading Strategies",
"page": 198
},
{
"level": 2,
"title": "High-Frequency Trading Strategies",
"page": 210
},
{
"level": 2,
"title": "Is It Better to Have a High-Leverage versus a High-Beta Portfolio?",
"page": 212
},
{
"level": 2,
"title": "Summary",
"page": 214
},
{
"level": 2,
"title": "References",
"page": 216
},
{
"level": 1,
"title": "Chapter 8 Conclusion: Can Independent Traders Succeed?",
"page": 217
},
{
"level": 2,
"title": "Next Steps",
"page": 221
},
{
"level": 2,
"title": "References",
"page": 222
},
{
"level": 1,
"title": "A Quick Surveyof MATLAB",
"page": 223
},
{
"level": 1,
"title": "Bibliography",
"page": 229
},
{
"level": 1,
"title": "About the Author",
"page": 233
},
{
"level": 1,
"title": "Index",
"page": 235
},
{
"level": 1,
"title": "EULA",
"page": 256
}
],
"category": "Trading",
"tags": [
"Quantitative",
"Algorithmic",
"Statistical Arbitrage"
]
},
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"id": "study_guide_for_the_new_trading_for_a_living_alexander_elder",
"title": "Study Guide for The New Trading for a Living",
"author": "Alexander Elder",
"totalPages": 162,
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"title": "CONTENTS",
"page": 7
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{
"level": 1,
"title": "ABOUT THIS STUDY GUIDE",
"page": 9
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{
"level": 1,
"title": "PART 1 Questions and Rating Scales",
"page": 13
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"level": 2,
"title": "Introduction",
"page": 15
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{
"level": 2,
"title": "ONE Individual Psychology",
"page": 19
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{
"level": 2,
"title": "TWO Mass Psychology",
"page": 25
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{
"level": 2,
"title": "THREE Classical Chart Analysis",
"page": 31
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"level": 2,
"title": "FOUR Computerized Technical Analysis",
"page": 39
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"level": 2,
"title": "FIVE Volume and Time",
"page": 49
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{
"level": 2,
"title": "SIX General Market Indicators",
"page": 61
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{
"level": 2,
"title": "SEVEN Trading Systems",
"page": 69
},
{
"level": 2,
"title": "EIGHT Trading Vehicles",
"page": 77
},
{
"level": 2,
"title": "NINE Risk Management",
"page": 83
},
{
"level": 2,
"title": "TEN Practical Details",
"page": 91
},
{
"level": 2,
"title": "ELEVEN Good Record-Keeping",
"page": 97
},
{
"level": 1,
"title": "PART TWO Answers and Comments",
"page": 101
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{
"level": 2,
"title": "Introduction",
"page": 103
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{
"level": 3,
"title": "Rating Yourself",
"page": 105
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{
"level": 2,
"title": "ONE Individual Psychology",
"page": 107
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{
"level": 3,
"title": "Rating Yourself",
"page": 110
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{
"level": 3,
"title": "Recommended Reading",
"page": 110
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{
"level": 2,
"title": "TWO Mass Psychology",
"page": 111
},
{
"level": 3,
"title": "Rating Yourself",
"page": 114
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{
"level": 3,
"title": "Recommended Reading",
"page": 114
},
{
"level": 2,
"title": "THREE Classical Chart Analysis",
"page": 115
},
{
"level": 3,
"title": "Rating Yourself",
"page": 118
},
{
"level": 3,
"title": "Recommended Reading",
"page": 118
},
{
"level": 2,
"title": "FOUR Computerized Technical Analysis",
"page": 119
},
{
"level": 3,
"title": "Rating Yourself",
"page": 124
},
{
"level": 3,
"title": "Recommended Reading",
"page": 124
},
{
"level": 2,
"title": "FIVE Volume and Time",
"page": 125
},
{
"level": 3,
"title": "Rating Yourself",
"page": 129
},
{
"level": 3,
"title": "Recommended Reading",
"page": 129
},
{
"level": 2,
"title": "SIX General Market Indicators",
"page": 131
},
{
"level": 3,
"title": "Rating Yourself",
"page": 134
},
{
"level": 3,
"title": "Recommended Reading",
"page": 134
},
{
"level": 2,
"title": "SEVEN Trading Systems",
"page": 135
},
{
"level": 3,
"title": "Rating Yourself",
"page": 139
},
{
"level": 3,
"title": "Recommended Reading",
"page": 139
},
{
"level": 2,
"title": "EIGHT Trading Vehicles",
"page": 141
},
{
"level": 3,
"title": "Rating Yourself",
"page": 144
},
{
"level": 2,
"title": "NINE Risk Management",
"page": 145
},
{
"level": 3,
"title": "Rating Yourself",
"page": 148
},
{
"level": 3,
"title": "Recommended Reading",
"page": 148
},
{
"level": 2,
"title": "TEN Practical Details",
"page": 149
},
{
"level": 3,
"title": "Rating Yourself",
"page": 152
},
{
"level": 2,
"title": "ELEVEN Good Record-Keeping",
"page": 153
},
{
"level": 3,
"title": "Rating Yourself",
"page": 155
},
{
"level": 2,
"title": "Afterword",
"page": 157
},
{
"level": 2,
"title": "Sources",
"page": 159
},
{
"level": 2,
"title": "About the Author",
"page": 161
},
{
"level": 2,
"title": "EULA",
"page": 162
}
],
"category": "Trading",
"tags": [
"Study Guide",
"Psychology",
"Technical Analysis"
]
},
{
"id": "technical_analysis_of_the_financial_market_john_j_murphy",
"title": "Technical Analysis of the Financial Markets",
"author": "John J. Murphy",
"totalPages": 494,
"fileSize": 17534809,
"pdfUrl": "data/pdfs/technical_analysis_of_the_financial_market_john_j_murphy.pdf",
"coverUrl": "data/covers/technical_analysis_of_the_financial_market_john_j_murphy.jpg",
"layoutUrl": "data/layouts/technical_analysis_of_the_financial_market_john_j_murphy.json",
"toc": [
{
"level": 1,
"title": "Title Page",
"page": 3
},
{
"level": 1,
"title": "Copyright",
"page": 4
},
{
"level": 1,
"title": "Dedication",
"page": 6
},
{
"level": 1,
"title": "Contents",
"page": 7
},
{
"level": 1,
"title": "About the Author",
"page": 19
},
{
"level": 1,
"title": "About the Contributors",
"page": 20
},
{
"level": 1,
"title": "Introduction",
"page": 21
},
{
"level": 1,
"title": "Acknowledgments",
"page": 23
},
{
"level": 1,
"title": "1 Philosophy of Technical Analysis",
"page": 24
},
{
"level": 2,
"title": "Introduction",
"page": 24
},
{
"level": 2,
"title": "Philosophy or Rationale",
"page": 24
},
{
"level": 2,
"title": "Technical versus Fundamental Forecasting",
"page": 27
},
{
"level": 2,
"title": "Analysis versus Timing",
"page": 28
},
{
"level": 2,
"title": "Flexibility and Adaptability of Technical Analysis",
"page": 29
},
{
"level": 2,
"title": "Technical Analysis Applied to Different Trading Mediums",
"page": 30
},
{
"level": 2,
"title": "Technical Analysis Applied to Different Time Dimensions",
"page": 30
},
{
"level": 2,
"title": "Economic Forecasting",
"page": 31
},
{
"level": 2,
"title": "Technician or Chartist?",
"page": 31
},
{
"level": 2,
"title": "A Brief Comparison of Technical Analysis in Stocks and Futures",
"page": 32
},
{
"level": 2,
"title": "Less Reliance on Market Averages and Indicators",
"page": 35
},
{
"level": 2,
"title": "Some Criticisms of the Technical Approach",
"page": 35
},
{
"level": 2,
"title": "Random Walk Theory",
"page": 38
},
{
"level": 2,
"title": "Universal Principles",
"page": 40
},
{
"level": 1,
"title": "2 Dow Theory",
"page": 41
},
{
"level": 2,
"title": "Introduction",
"page": 41
},
{
"level": 2,
"title": "Basic Tenets",
"page": 42
},
{
"level": 2,
"title": "The Use of Closing Prices and the Presence of Lines",
"page": 47
},
{
"level": 2,
"title": "Some Criticisms of Dow Theory",
"page": 48
},
{
"level": 2,
"title": "Stocks as Economic Indicators",
"page": 49
},
{
"level": 2,
"title": "Dow Theory Applied to Futures Trading",
"page": 49
},
{
"level": 2,
"title": "Conclusion",
"page": 50
},
{
"level": 1,
"title": "3 Chart Construction",
"page": 51
},
{
"level": 2,
"title": "Introduction",
"page": 51
},
{
"level": 2,
"title": "Types of Charts Available",
"page": 51
},
{
"level": 2,
"title": "Candlesticks",
"page": 53
},
{
"level": 2,
"title": "Arithmetic versus Logarithmic Scale",
"page": 54
},
{
"level": 2,
"title": "Construction of the Daily Bar Chart",
"page": 55
},
{
"level": 2,
"title": "Volume",
"page": 56
},
{
"level": 2,
"title": "Futures Open Interest",
"page": 57
},
{
"level": 2,
"title": "Weekly and Monthly Bar Charts",
"page": 59
},
{
"level": 2,
"title": "Conclusion",
"page": 61
},
{
"level": 1,
"title": "4 Basic Concepts of Trend",
"page": 62
},
{
"level": 2,
"title": "Definition of Trend",
"page": 62
},
{
"level": 2,
"title": "Trend Has Three Directions",
"page": 64
},
{
"level": 2,
"title": "Trend Has Three Classifications",
"page": 65
},
{
"level": 2,
"title": "Support and Resistance",
"page": 67
},
{
"level": 2,
"title": "Trendlines",
"page": 75
},
{
"level": 2,
"title": "The Fan Principle",
"page": 83
},
{
"level": 2,
"title": "The Importance of the Number Three",
"page": 85
},
{
"level": 2,
"title": "The Relative Steepness of the Trendline",
"page": 85
},
{
"level": 2,
"title": "The Channel Line",
"page": 89
},
{
"level": 2,
"title": "Percentage Retracements",
"page": 94
},
{
"level": 2,
"title": "Speed Resistance Lines",
"page": 96
},
{
"level": 2,
"title": "Gann and Fibonacci Fan Lines",
"page": 98
},
{
"level": 2,
"title": "Internal Trendlines",
"page": 99
},
{
"level": 2,
"title": "Reversal Days",
"page": 99
},
{
"level": 2,
"title": "Price Gaps",
"page": 102
},
{
"level": 2,
"title": "Conclusion",
"page": 105
},
{
"level": 1,
"title": "5 Major Reversal Patterns",
"page": 106
},
{
"level": 2,
"title": "Introduction",
"page": 106
},
{
"level": 2,
"title": "Price Patterns",
"page": 106
},
{
"level": 2,
"title": "Two Types of Patterns: Reversal and Continuation",
"page": 107
},
{
"level": 2,
"title": "The Head and Shoulders Reversal Pattern",
"page": 109
},
{
"level": 2,
"title": "The Importance of Volume",
"page": 113
},
{
"level": 2,
"title": "Finding a Price Objective",
"page": 113
},
{
"level": 2,
"title": "The Inverse Head and Shoulders",
"page": 115
},
{
"level": 2,
"title": "Complex Head and Shoulders Patterns",
"page": 117
},
{
"level": 2,
"title": "Triple Tops and Bottoms",
"page": 119
},
{
"level": 2,
"title": "Double Tops and Bottoms",
"page": 121
},
{
"level": 2,
"title": "Variations from the Ideal Pattern",
"page": 124
},
{
"level": 2,
"title": "Saucers and Spikes",
"page": 128
},
{
"level": 2,
"title": "Conclusion",
"page": 129
},
{
"level": 1,
"title": "6 Continuation Patterns",
"page": 130
},
{
"level": 2,
"title": "Introduction",
"page": 130
},
{
"level": 2,
"title": "Triangles",
"page": 131
},
{
"level": 2,
"title": "The Symmetrical Triangle",
"page": 132
},
{
"level": 2,
"title": "The Ascending Triangle",
"page": 135
},
{
"level": 2,
"title": "The Descending Triangle",
"page": 137
},
{
"level": 2,
"title": "The Broadening Formation",
"page": 139
},
{
"level": 2,
"title": "Flags and Pennants",
"page": 140
},
{
"level": 2,
"title": "The Wedge Formation",
"page": 144
},
{
"level": 2,
"title": "The Rectangle Formation",
"page": 145
},
{
"level": 2,
"title": "The Measured Move",
"page": 149
},
{
"level": 2,
"title": "The Continuation Head and Shoulders Pattern",
"page": 150
},
{
"level": 2,
"title": "Confirmation and Divergence",
"page": 152
},
{
"level": 2,
"title": "Conclusion",
"page": 153
},
{
"level": 1,
"title": "7 Volume and Open Interest",
"page": 154
},
{
"level": 2,
"title": "Introduction",
"page": 154
},
{
"level": 2,
"title": "Volume and Open Interest as Secondary Indicators",
"page": 154
},
{
"level": 2,
"title": "Interpretation of Volume for All Markets",
"page": 158
},
{
"level": 2,
"title": "Interpretation of Open Interest in Futures",
"page": 164
},
{
"level": 2,
"title": "Summary of Volume and Open Interest Rules",
"page": 169
},
{
"level": 2,
"title": "Blowoffs and Selling Climaxes",
"page": 169
},
{
"level": 2,
"title": "Commitments of Traders Report",
"page": 169
},
{
"level": 2,
"title": "Watch the Commercials",
"page": 170
},
{
"level": 2,
"title": "Net Trader Positions",
"page": 171
},
{
"level": 2,
"title": "Open Interest In Options",
"page": 171
},
{
"level": 2,
"title": "Put/Call Ratios",
"page": 172
},
{
"level": 2,
"title": "Combine Option Sentiment With Technicals",
"page": 173
},
{
"level": 2,
"title": "Conclusion",
"page": 173
},
{
"level": 1,
"title": "8 Long Term Charts",
"page": 175
},
{
"level": 2,
"title": "Introduction",
"page": 175
},
{
"level": 2,
"title": "The Importance of Longer Range Perspective",
"page": 175
},
{
"level": 2,
"title": "Construction of Continuation Charts for Futures",
"page": 176
},
{
"level": 2,
"title": "The Perpetual Contract™",
"page": 177
},
{
"level": 2,
"title": "Long Term Trends Dispute Randomness",
"page": 178
},
{
"level": 2,
"title": "Patterns on Charts: Weekly and Monthly Reversals",
"page": 178
},
{
"level": 2,
"title": "Long Term to Short Term Charts",
"page": 178
},
{
"level": 2,
"title": "Why Should Long Range Charts Be Adjusted for Inflation?",
"page": 179
},
{
"level": 2,
"title": "Long Term Charts Not Intended for Trading Purposes",
"page": 180
},
{
"level": 2,
"title": "Examples of Long Term Charts",
"page": 181
},
{
"level": 1,
"title": "9 Moving Averages",
"page": 187
},
{
"level": 2,
"title": "Introduction",
"page": 187
},
{
"level": 2,
"title": "The Moving Average: A Smoothing Device with a Time Lag",
"page": 188
},
{
"level": 2,
"title": "Moving Average Envelopes",
"page": 197
},
{
"level": 2,
"title": "Bollinger Bands",
"page": 198
},
{
"level": 2,
"title": "Using Bollinger Bands as Targets",
"page": 200
},
{
"level": 2,
"title": "Band Width Measures Volatility",
"page": 200
},
{
"level": 2,
"title": "Moving Averages Tied to Cycles",
"page": 201
},
{
"level": 2,
"title": "Fibonacci Numbers Used as Moving Averages",
"page": 202
},
{
"level": 2,
"title": "Moving Averages Applied to Long Term Charts",
"page": 202
},
{
"level": 2,
"title": "The Weekly Rule",
"page": 204
},
{
"level": 2,
"title": "To Optimize or Not",
"page": 209
},
{
"level": 2,
"title": "Summary",
"page": 209
},
{
"level": 2,
"title": "The Adaptive Moving Average",
"page": 210
},
{
"level": 2,
"title": "Alternatives to the Moving Average",
"page": 210
},
{
"level": 1,
"title": "10 Oscillators and Contrary Opinion",
"page": 212
},
{
"level": 2,
"title": "Introduction",
"page": 212
},
{
"level": 2,
"title": "Oscillator Usage in Conjunction with Trend",
"page": 213
},
{
"level": 2,
"title": "Measuring Momentum",
"page": 214
},
{
"level": 2,
"title": "Measuring Rate of Change (ROC)",
"page": 219
},
{
"level": 2,
"title": "Constructing an Oscillator Using Two Moving Averages",
"page": 219
},
{
"level": 2,
"title": "Commodity Channel Index",
"page": 222
},
{
"level": 2,
"title": "The Relative Strength Index (RSI)",
"page": 224
},
{
"level": 2,
"title": "Using the 70 and 30 Lines to Generate Signals",
"page": 230
},
{
"level": 2,
"title": "Stochastics (K%D)",
"page": 230
},
{
"level": 2,
"title": "Larry Williams %R",
"page": 233
},
{
"level": 2,
"title": "The Importance of Trend",
"page": 234
},
{
"level": 2,
"title": "When Oscillators are Most Useful",
"page": 235
},
{
"level": 2,
"title": "Moving Average Convergence/Divergence (MACD)",
"page": 236
},
{
"level": 2,
"title": "MACD Histogram",
"page": 238
},
{
"level": 2,
"title": "Combine Weeklies and Dailies",
"page": 239
},
{
"level": 2,
"title": "The Principle of Contrary Opinion in Futures",
"page": 240
},
{
"level": 2,
"title": "Investor Sentiment Readings",
"page": 243
},
{
"level": 2,
"title": "Investors Intelligence Numbers",
"page": 244
},
{
"level": 1,
"title": "11 Point and Figure Charting",
"page": 246
},
{
"level": 2,
"title": "Introduction",
"page": 246
},
{
"level": 2,
"title": "The Point and Figure Versus the Bar Chart",
"page": 246
},
{
"level": 2,
"title": "Construction of the Intraday Point and Figure Chart",
"page": 250
},
{
"level": 2,
"title": "The Horizontal Count",
"page": 253
},
{
"level": 2,
"title": "Price Patterns",
"page": 254
},
{
"level": 2,
"title": "3 Box Reversal Point and Figure Charting",
"page": 256
},
{
"level": 2,
"title": "Construction of the 3 Point Reversal Chart",
"page": 257
},
{
"level": 2,
"title": "The Drawing of Trendlines",
"page": 261
},
{
"level": 2,
"title": "Measuring Techniques",
"page": 264
},
{
"level": 2,
"title": "Trading Tactics",
"page": 265
},
{
"level": 2,
"title": "Advantages of Point and Figure Charts",
"page": 266
},
{
"level": 2,
"title": "P&F Technical Indicators",
"page": 270
},
{
"level": 2,
"title": "Computerized P&F Charting",
"page": 270
},
{
"level": 2,
"title": "P&F Moving Averages",
"page": 272
},
{
"level": 2,
"title": "Conclusion",
"page": 273
},
{
"level": 1,
"title": "12 Japanese Candlesticks",
"page": 274
},
{
"level": 2,
"title": "Introduction",
"page": 274
},
{
"level": 2,
"title": "Candlestick Charting",
"page": 274
},
{
"level": 2,
"title": "Basic Candlesticks",
"page": 276
},
{
"level": 2,
"title": "Candle Pattern Analysis",
"page": 278
},
{
"level": 2,
"title": "Filtered Candle Patterns",
"page": 283
},
{
"level": 2,
"title": "Conclusion",
"page": 284
},
{
"level": 2,
"title": "Candle Patterns",
"page": 285
},
{
"level": 1,
"title": "13 Elliott Wave Theory",
"page": 294
},
{
"level": 2,
"title": "Historical Background",
"page": 294
},
{
"level": 2,
"title": "Basic Tenets of the Elliott Wave Principle",
"page": 294
},
{
"level": 2,
"title": "Connection Between Elliott Wave and Dow Theory",
"page": 298
},
{
"level": 2,
"title": "Corrective Waves",
"page": 299
},
{
"level": 2,
"title": "The Rule of Alternation",
"page": 307
},
{
"level": 2,
"title": "Channeling",
"page": 308
},
{
"level": 2,
"title": "Wave 4 as a Support Area",
"page": 309
},
{
"level": 2,
"title": "Fibonacci Numbers as the Basis of the Wave Principle",
"page": 309
},
{
"level": 2,
"title": "Fibonacci Ratios and Retracements",
"page": 310
},
{
"level": 2,
"title": "Fibonacci Time Targets",
"page": 313
},
{
"level": 2,
"title": "Combining All Three Aspects of Wave Theory",
"page": 313
},
{
"level": 2,
"title": "Elliott Wave Applied to Stocks Versus Commodities",
"page": 315
},
{
"level": 2,
"title": "Summary and Conclusions",
"page": 315
},
{
"level": 2,
"title": "Reference Material",
"page": 317
},
{
"level": 1,
"title": "14 Time Cycles",
"page": 318
},
{
"level": 2,
"title": "Introduction",
"page": 318
},
{
"level": 2,
"title": "Cycles",
"page": 319
},
{
"level": 2,
"title": "How Cyclic Concepts Help Explain Charting Techniques",
"page": 328
},
{
"level": 2,
"title": "Dominant Cycles",
"page": 331
},
{
"level": 2,
"title": "Combining Cycle Lengths",
"page": 333
},
{
"level": 2,
"title": "The Importance of Trend",
"page": 334
},
{
"level": 2,
"title": "Left and Right Translation",
"page": 335
},
{
"level": 2,
"title": "How to Isolate Cycles",
"page": 335
},
{
"level": 2,
"title": "Seasonal Cycles",
"page": 340
},
{
"level": 2,
"title": "Stock Market Cycles",
"page": 344
},
{
"level": 2,
"title": "The January Barometer",
"page": 344
},
{
"level": 2,
"title": "The Presidential Cycle",
"page": 345
},
{
"level": 2,
"title": "Combining Cycles with Other Technical Tools",
"page": 345
},
{
"level": 2,
"title": "Maximum Entropy Spectral Analysis",
"page": 345
},
{
"level": 2,
"title": "Cycle Reading and Software",
"page": 346
},
{
"level": 1,
"title": "15 Computers and Trading Systems",
"page": 347
},
{
"level": 2,
"title": "Introduction",
"page": 347
},
{
"level": 2,
"title": "Some Computer Needs",
"page": 348
},
{
"level": 2,
"title": "Grouping Tools and Indicators",
"page": 349
},
{
"level": 2,
"title": "Using the Tools and Indicators",
"page": 349
},
{
"level": 2,
"title": "Welles Wilder’s Parabolic and Directional Movement Systems",
"page": 350
},
{
"level": 2,
"title": "Pros and Cons of System Trading",
"page": 356
},
{
"level": 2,
"title": "Need Expert Help?",
"page": 357
},
{
"level": 2,
"title": "Test Systems or Create Your Own",
"page": 358
},
{
"level": 2,
"title": "Conclusion",
"page": 358
},
{
"level": 1,
"title": "16 Money Management and Trading Tactics",
"page": 360
},
{
"level": 2,
"title": "Introduction",
"page": 360
},
{
"level": 2,
"title": "The Three Elements of Successful Trading",
"page": 360
},
{
"level": 2,
"title": "Money Management",
"page": 361
},
{
"level": 2,
"title": "Reward to Risk Ratios",
"page": 363
},
{
"level": 2,
"title": "Trading Multiple Positions: Trending versus Trading Units",
"page": 364
},
{
"level": 2,
"title": "What to Do After Periods of Success and Adversity",
"page": 364
},
{
"level": 2,
"title": "Trading Tactics",
"page": 365
},
{
"level": 2,
"title": "Combining Technical Factors and Money Management",
"page": 367
},
{
"level": 2,
"title": "Types of Trading Orders",
"page": 368
},
{
"level": 2,
"title": "From Daily Charts to Intraday Price Charts",
"page": 369
},
{
"level": 2,
"title": "The Use of Intraday Pivot Points",
"page": 371
},
{
"level": 2,
"title": "Summary of Money Management and Trading Guidelines",
"page": 372
},
{
"level": 2,
"title": "Application to Stocks",
"page": 373
},
{
"level": 2,
"title": "Asset Allocation",
"page": 373
},
{
"level": 2,
"title": "Managed Accounts and Mutual Funds",
"page": 373
},
{
"level": 2,
"title": "Market Profile",
"page": 374
},
{
"level": 1,
"title": "17 The Link Between Stocks and Futures: Intermarket Analysis",
"page": 375
},
{
"level": 2,
"title": "Intermarket Analysis",
"page": 376
},
{
"level": 2,
"title": "Program Trading: The Ultimate Link",
"page": 376
},
{
"level": 2,
"title": "The Link Between Bonds and Stocks",
"page": 378
},
{
"level": 2,
"title": "The Link Between Bonds and Commodities",
"page": 379
},
{
"level": 2,
"title": "The Link Between Commodities and the Dollar",
"page": 379
},
{
"level": 2,
"title": "Stock Sectors and Industry Groups",
"page": 381
},
{
"level": 2,
"title": "The Dollar and Large Caps",
"page": 382
},
{
"level": 2,
"title": "Intermarket Analysis and Mutual Funds",
"page": 382
},
{
"level": 2,
"title": "Relative Strength Analysis",
"page": 383
},
{
"level": 2,
"title": "Relative Strength and Sectors",
"page": 385
},
{
"level": 2,
"title": "Relative Strength and Individual Stocks",
"page": 386
},
{
"level": 2,
"title": "Top-Down Market Approach",
"page": 386
},
{
"level": 2,
"title": "Deflation Scenario",
"page": 387
},
{
"level": 2,
"title": "Intermarket Correlation",
"page": 388
},
{
"level": 2,
"title": "Intermarket Neural Network Software",
"page": 389
},
{
"level": 2,
"title": "Conclusion",
"page": 389
},
{
"level": 1,
"title": "18 Stock Market Indicators",
"page": 391
},
{
"level": 2,
"title": "Measuring Market Breadth",
"page": 391
},
{
"level": 2,
"title": "Sample Data",
"page": 391
},
{
"level": 2,
"title": "Comparing Market Averages",
"page": 392
},
{
"level": 2,
"title": "The Advance-Decline Line",
"page": 393
},
{
"level": 2,
"title": "AD Divergence",
"page": 394
},
{
"level": 2,
"title": "Daily Versus Weekly AD Lines",
"page": 394
},
{
"level": 2,
"title": "Variations in AD Line",
"page": 395
},
{
"level": 2,
"title": "McClellan Oscillator",
"page": 395
},
{
"level": 2,
"title": "McClellan Summation Index",
"page": 396
},
{
"level": 2,
"title": "New Highs Versus New Lows",
"page": 397
},
{
"level": 2,
"title": "New High-New Low Index",
"page": 398
},
{
"level": 2,
"title": "Upside Versus Downside Volume",
"page": 399
},
{
"level": 2,
"title": "The Arms Index",
"page": 400
},
{
"level": 2,
"title": "TRIN Versus TICK",
"page": 401
},
{
"level": 2,
"title": "Smoothing the Arms Index",
"page": 401
},
{
"level": 2,
"title": "Open Arms",
"page": 402
},
{
"level": 2,
"title": "Equivolume Charting",
"page": 402
},
{
"level": 2,
"title": "Candlepower",
"page": 404
},
{
"level": 2,
"title": "Comparing Market Averages",
"page": 405
},
{
"level": 2,
"title": "Conclusion",
"page": 407
},
{
"level": 1,
"title": "19 Pulling It All Together—A Checklist",
"page": 408
},
{
"level": 2,
"title": "Technical Checklist",
"page": 408
},
{
"level": 2,
"title": "How to Coordinate Technical and Fundamental Analysis",
"page": 410
},
{
"level": 2,
"title": "Chartered Market Technician (CMT)",
"page": 410
},
{
"level": 2,
"title": "Market Technicians Association (MTA)",
"page": 411
},
{
"level": 2,
"title": "The Global Reach of Technical Analysis",
"page": 411
},
{
"level": 2,
"title": "Technical Analysis by Any Name",
"page": 412
},
{
"level": 2,
"title": "Federal Reserve Finally Approves",
"page": 412
},
{
"level": 2,
"title": "Conclusion",
"page": 413
},
{
"level": 1,
"title": "A Advanced Technical Indicators",
"page": 416
},
{
"level": 2,
"title": "Demand Index (DI)",
"page": 416
},
{
"level": 2,
"title": "Herrick Payoff Index (HPI)",
"page": 418
},
{
"level": 2,
"title": "Starc Bands and Keltner Channels",
"page": 420
},
{
"level": 2,
"title": "Formula for Demand Index",
"page": 423
},
{
"level": 1,
"title": "B Market Profile",
"page": 425
},
{
"level": 2,
"title": "Introduction",
"page": 425
},
{
"level": 2,
"title": "Market Profile Graphic",
"page": 427
},
{
"level": 2,
"title": "Market Structure",
"page": 428
},
{
"level": 2,
"title": "Market Profile Organizing Principles",
"page": 429
},
{
"level": 2,
"title": "Range Development and Profile Patterns",
"page": 433
},
{
"level": 2,
"title": "Tracking Longer Term Market Activity",
"page": 434
},
{
"level": 2,
"title": "Conclusion",
"page": 438
},
{
"level": 1,
"title": "C The Essentials of Building a Trading System",
"page": 440
},
{
"level": 2,
"title": "5-Step Plan",
"page": 441
},
{
"level": 2,
"title": "Step 1: Start with a Concept (an Idea)",
"page": 441
},
{
"level": 2,
"title": "Step 2: Turn Your Idea into a Set of Objective Rules",
"page": 443
},
{
"level": 2,
"title": "Step 3: Visually Check It Out on the Charts",
"page": 443
},
{
"level": 2,
"title": "Step 4: Formally Test It with a Computer",
"page": 443
},
{
"level": 2,
"title": "Step 5: Evaluate Results",
"page": 446
},
{
"level": 2,
"title": "Money Management",
"page": 446
},
{
"level": 2,
"title": "Conclusion",
"page": 447
},
{
"level": 1,
"title": "D Continuous Futures Contracts",
"page": 450
},
{
"level": 2,
"title": "Nearest Contract",
"page": 450
},
{
"level": 2,
"title": "Next Contract",
"page": 451
},
{
"level": 2,
"title": "Gann Contract",
"page": 451
},
{
"level": 2,
"title": "Continuous Contracts",
"page": 452
},
{
"level": 2,
"title": "Constant Forward Continuous Contracts",
"page": 452
},
{
"level": 1,
"title": "Glossary",
"page": 454
},
{
"level": 1,
"title": "Selected Bibliography",
"page": 462
},
{
"level": 1,
"title": "Selected Resources",
"page": 466
},
{
"level": 1,
"title": "Index",
"page": 469
}
],
"category": "Trading",
"tags": [
"Technical Analysis",
"Chart Patterns",
"Indicators"
]
},
{
"id": "the_new_trading_for_a_living",
"title": "The New Trading for a Living",
"author": "Alexander Elder",
"totalPages": 303,
"fileSize": 15716534,
"pdfUrl": "data/pdfs/the_new_trading_for_a_living.pdf",
"coverUrl": "data/covers/the_new_trading_for_a_living.jpg",
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"toc": [
{
"level": 1,
"title": "The New Trading for a Living",
"page": 3
},
{
"level": 1,
"title": "CONTENTS",
"page": 9
},
{
"level": 1,
"title": "PREFACE",
"page": 13
},
{
"level": 1,
"title": "Introduction",
"page": 17
},
{
"level": 2,
"title": "1. Trading—The Last Frontier",
"page": 17
},
{
"level": 3,
"title": "How I Began to Trade",
"page": 17
},
{
"level": 3,
"title": "Do You Really Want to Succeed?",
"page": 18
},
{
"level": 2,
"title": "2. Psychology Is the Key",
"page": 19
},
{
"level": 3,
"title": "Getting Off the Roller Coaster",
"page": 19
},
{
"level": 3,
"title": "A Man’s Game?",
"page": 19
},
{
"level": 3,
"title": "How This Book Is Organized",
"page": 20
},
{
"level": 2,
"title": "3. The Odds against You",
"page": 21
},
{
"level": 3,
"title": "A Minus-Sum Game",
"page": 21
},
{
"level": 3,
"title": "Commissions",
"page": 22
},
{
"level": 3,
"title": "Slippage",
"page": 23
},
{
"level": 3,
"title": "Bid-Ask Spreads",
"page": 24
},
{
"level": 3,
"title": "The Barriers to Success",
"page": 24
},
{
"level": 1,
"title": "PART 1 Individual Psychology",
"page": 25
},
{
"level": 2,
"title": "4. Why Trade?",
"page": 25
},
{
"level": 3,
"title": "Self-Fulfillment",
"page": 25
},
{
"level": 2,
"title": "5. Reality versus Fantasy",
"page": 26
},
{
"level": 3,
"title": "The Brain Myth",
"page": 27
},
{
"level": 3,
"title": "The Undercapitalization Myth",
"page": 27
},
{
"level": 3,
"title": "The Autopilot Myth",
"page": 28
},
{
"level": 3,
"title": "The Cult of Personality",
"page": 29
},
{
"level": 3,
"title": "Trade with Your Eyes Open",
"page": 32
},
{
"level": 2,
"title": "6. Self-Destructiveness",
"page": 32
},
{
"level": 3,
"title": "Gambling",
"page": 33
},
{
"level": 3,
"title": "Self-Sabotage",
"page": 33
},
{
"level": 3,
"title": "The Demolition Derby",
"page": 34
},
{
"level": 3,
"title": "Controlling Self-Destructiveness",
"page": 35
},
{
"level": 2,
"title": "7. Trading Psychology",
"page": 35
},
{
"level": 3,
"title": "Bending the Rules",
"page": 35
},
{
"level": 3,
"title": "The Insight That Changed My Trading",
"page": 36
},
{
"level": 2,
"title": "8. Trading Lessons from AA",
"page": 37
},
{
"level": 3,
"title": "Denial",
"page": 37
},
{
"level": 3,
"title": "Rock Bottom",
"page": 38
},
{
"level": 3,
"title": "The First Step",
"page": 38
},
{
"level": 3,
"title": "One Day at a Time",
"page": 38
},
{
"level": 3,
"title": "An AA Meeting",
"page": 39
},
{
"level": 2,
"title": "9. Losers Anonymous",
"page": 39
},
{
"level": 3,
"title": "The Urge to Trade",
"page": 39
},
{
"level": 3,
"title": "Into the Hole",
"page": 40
},
{
"level": 3,
"title": "Trader’s Rock Bottom",
"page": 40
},
{
"level": 3,
"title": "Trader’s First Step",
"page": 41
},
{
"level": 3,
"title": "A Meeting for One",
"page": 42
},
{
"level": 2,
"title": "10. Winners and Losers",
"page": 43
},
{
"level": 3,
"title": "Like an Ocean",
"page": 43
},
{
"level": 3,
"title": "Emotional Trading",
"page": 44
},
{
"level": 3,
"title": "In Charge of Your Life",
"page": 45
},
{
"level": 1,
"title": "PART 2 Mass Psychology",
"page": 47
},
{
"level": 2,
"title": "11. What Is Price?",
"page": 48
},
{
"level": 3,
"title": "A Consensus of Value",
"page": 48
},
{
"level": 3,
"title": "Behavior Patterns",
"page": 48
},
{
"level": 2,
"title": "12. What Is the Market?",
"page": 49
},
{
"level": 3,
"title": "Worldwide Crowds",
"page": 50
},
{
"level": 3,
"title": "Groups, Not Individuals",
"page": 50
},
{
"level": 3,
"title": "The Source of Money",
"page": 50
},
{
"level": 3,
"title": "Inside Information",
"page": 51
},
{
"level": 2,
"title": "13. The Trading Scene",
"page": 52
},
{
"level": 3,
"title": "Individual Traders",
"page": 52
},
{
"level": 3,
"title": "Institutional Traders",
"page": 53
},
{
"level": 3,
"title": "The Sword Makers",
"page": 54
},
{
"level": 3,
"title": "Advisors",
"page": 55
},
{
"level": 2,
"title": "14. The Market Crowd and You",
"page": 55
},
{
"level": 3,
"title": "Experts on Crowds",
"page": 56
},
{
"level": 3,
"title": "Why Join?",
"page": 56
},
{
"level": 3,
"title": "Crowd Mentality",
"page": 57
},
{
"level": 3,
"title": "Who Leads?",
"page": 57
},
{
"level": 3,
"title": "Independence",
"page": 58
},
{
"level": 3,
"title": "A Positive Group",
"page": 58
},
{
"level": 2,
"title": "15. Psychology of Trends",
"page": 59
},
{
"level": 3,
"title": "Strong Feelings",
"page": 59
},
{
"level": 3,
"title": "Rallies and Declines",
"page": 60
},
{
"level": 3,
"title": "Price Shocks",
"page": 60
},
{
"level": 3,
"title": "Social Psychology",
"page": 61
},
{
"level": 2,
"title": "16. Managing versus Forecasting",
"page": 62
},
{
"level": 3,
"title": "Poll-Taking",
"page": 63
},
{
"level": 3,
"title": "A Crystal Ball",
"page": 63
},
{
"level": 3,
"title": "Read the Market, Manage Yourself",
"page": 64
},
{
"level": 1,
"title": "PART 3 Classical Chart Analysis",
"page": 65
},
{
"level": 2,
"title": "17. Charting",
"page": 66
},
{
"level": 3,
"title": "Brief History",
"page": 66
},
{
"level": 3,
"title": "The Meaning of a Bar Chart",
"page": 67
},
{
"level": 3,
"title": "Japanese Candlesticks",
"page": 69
},
{
"level": 3,
"title": "Efficient Markets, Random Walk, Chaos Theory, and “Nature’s Law”",
"page": 70
},
{
"level": 2,
"title": "18. Support and Resistance",
"page": 71
},
{
"level": 3,
"title": "Memories, Pain, and Regret",
"page": 72
},
{
"level": 3,
"title": "Strength of Support and Resistance",
"page": 74
},
{
"level": 3,
"title": "Trading Rules",
"page": 74
},
{
"level": 3,
"title": "True and False Breakouts",
"page": 75
},
{
"level": 2,
"title": "19. Trends and Trading Ranges",
"page": 76
},
{
"level": 3,
"title": "Mass Psychology",
"page": 78
},
{
"level": 3,
"title": "The Hard Right Edge",
"page": 78
},
{
"level": 3,
"title": "Methods and Techniques",
"page": 78
},
{
"level": 3,
"title": "Trade or Wait",
"page": 80
},
{
"level": 3,
"title": "Conflicting Timeframes",
"page": 80
},
{
"level": 2,
"title": "20. Kangaroo Tails",
"page": 81
},
{
"level": 1,
"title": "PART 4 Computerized Technical Analysis",
"page": 85
},
{
"level": 2,
"title": "21. Computers in Trading",
"page": 85
},
{
"level": 3,
"title": "Toolboxes",
"page": 86
},
{
"level": 3,
"title": "Black Boxes and Gray Boxes",
"page": 87
},
{
"level": 3,
"title": "Computers",
"page": 87
},
{
"level": 3,
"title": "Market Data",
"page": 88
},
{
"level": 3,
"title": "Three Major Groups of Indicators",
"page": 89
},
{
"level": 2,
"title": "22. Moving Averages",
"page": 90
},
{
"level": 3,
"title": "Twice as Much Bark",
"page": 91
},
{
"level": 3,
"title": "Market Psychology",
"page": 91
},
{
"level": 3,
"title": "Exponential Moving Averages",
"page": 92
},
{
"level": 3,
"title": "Choosing the Length of a Moving Average",
"page": 92
},
{
"level": 3,
"title": "Trading Rules",
"page": 93
},
{
"level": 3,
"title": "More on Moving Averages",
"page": 94
},
{
"level": 3,
"title": "Dual EMAs",
"page": 94
},
{
"level": 3,
"title": "Moving Averages and Channels",
"page": 95
},
{
"level": 3,
"title": "Prices, Values, and the Value Zone",
"page": 95
},
{
"level": 2,
"title": "23. Moving Average Convergence-Divergence: MACD Lines and MACD-Histogram",
"page": 96
},
{
"level": 3,
"title": "How to Create MACD",
"page": 97
},
{
"level": 3,
"title": "Market Psychology",
"page": 97
},
{
"level": 3,
"title": "Trading Rules for MACD Lines",
"page": 97
},
{
"level": 3,
"title": "More on MACD Lines",
"page": 98
},
{
"level": 3,
"title": "MACD-Histogram",
"page": 99
},
{
"level": 3,
"title": "Market Psychology",
"page": 100
},
{
"level": 3,
"title": "Trading Rules",
"page": 100
},
{
"level": 3,
"title": "When to Expect a New Peak or Valley",
"page": 101
},
{
"level": 3,
"title": "More on MACD-Histogram",
"page": 101
},
{
"level": 3,
"title": "Divergences",
"page": 102
},
{
"level": 3,
"title": "The Hound of the Baskervilles",
"page": 105
},
{
"level": 2,
"title": "24. The Directional System",
"page": 105
},
{
"level": 3,
"title": "How to Construct the Directional System",
"page": 105
},
{
"level": 3,
"title": "Crowd Behavior",
"page": 107
},
{
"level": 3,
"title": "Trading Rules",
"page": 109
},
{
"level": 3,
"title": "Average True Range—Help from Volatility",
"page": 109
},
{
"level": 2,
"title": "25. Oscillators",
"page": 111
},
{
"level": 3,
"title": "Overbought and Oversold",
"page": 111
},
{
"level": 2,
"title": "26. Stochastic",
"page": 111
},
{
"level": 3,
"title": "Crowd Psychology",
"page": 112
},
{
"level": 3,
"title": "Trading Rules",
"page": 113
},
{
"level": 3,
"title": "More on Stochastic",
"page": 115
},
{
"level": 2,
"title": "27. Relative Strength Index",
"page": 115
},
{
"level": 3,
"title": "Mass Psychology",
"page": 116
},
{
"level": 3,
"title": "Trading Rules",
"page": 117
},
{
"level": 1,
"title": "PART 5 Volume and Time",
"page": 119
},
{
"level": 2,
"title": "28. Volume",
"page": 119
},
{
"level": 3,
"title": "Crowd Psychology",
"page": 121
},
{
"level": 3,
"title": "Trading Pointers",
"page": 122
},
{
"level": 2,
"title": "29. Volume-Based Indicators",
"page": 123
},
{
"level": 3,
"title": "On-Balance Volume",
"page": 123
},
{
"level": 3,
"title": "Crowd Psychology",
"page": 124
},
{
"level": 3,
"title": "Trading Signals",
"page": 124
},
{
"level": 3,
"title": "More on OBV",
"page": 124
},
{
"level": 3,
"title": "Accumulation/Distribution",
"page": 126
},
{
"level": 3,
"title": "Crowd Behavior",
"page": 126
},
{
"level": 3,
"title": "Trading Rules",
"page": 127
},
{
"level": 3,
"title": "More on Accumulation/Distribution",
"page": 128
},
{
"level": 2,
"title": "30. Force Index",
"page": 128
},
{
"level": 3,
"title": "How to Construct Force Index",
"page": 128
},
{
"level": 3,
"title": "Trading Psychology",
"page": 129
},
{
"level": 3,
"title": "Trading Rules",
"page": 129
},
{
"level": 2,
"title": "31. Open Interest",
"page": 133
},
{
"level": 3,
"title": "Crowd Psychology",
"page": 134
},
{
"level": 3,
"title": "Trading Rules",
"page": 136
},
{
"level": 3,
"title": "More on Open Interest",
"page": 137
},
{
"level": 2,
"title": "32. Time",
"page": 137
},
{
"level": 3,
"title": "Cycles",
"page": 138
},
{
"level": 3,
"title": "Indicator Seasons",
"page": 138
},
{
"level": 3,
"title": "Market Time",
"page": 140
},
{
"level": 3,
"title": "The Factor of Five",
"page": 141
},
{
"level": 2,
"title": "33. Trading Timeframes",
"page": 142
},
{
"level": 3,
"title": "Investing",
"page": 142
},
{
"level": 3,
"title": "Swing Trading",
"page": 144
},
{
"level": 3,
"title": "Day-Trading",
"page": 147
},
{
"level": 1,
"title": "PART 6 General Market Indicators",
"page": 149
},
{
"level": 2,
"title": "34. The New High–New Low Index",
"page": 149
},
{
"level": 3,
"title": "How to Construct NH-NL",
"page": 150
},
{
"level": 3,
"title": "Crowd Psychology",
"page": 150
},
{
"level": 3,
"title": "Trading Rules for NH-NL",
"page": 151
},
{
"level": 3,
"title": "NH-NL in Multiple Timeframes and Look-Back Periods",
"page": 153
},
{
"level": 2,
"title": "35. Stocks above 50-Day MA",
"page": 155
},
{
"level": 2,
"title": "36. Other Stock Market Indicators",
"page": 156
},
{
"level": 3,
"title": "Advance/Decline",
"page": 156
},
{
"level": 2,
"title": "37. Consensus and Commitment Indicators",
"page": 158
},
{
"level": 3,
"title": "Tracking Advisory Opinion",
"page": 159
},
{
"level": 3,
"title": "Signals from the Press",
"page": 160
},
{
"level": 3,
"title": "Signals from Advertisers",
"page": 160
},
{
"level": 3,
"title": "Commitments of Futures Traders",
"page": 161
},
{
"level": 3,
"title": "Legal Insider Trading",
"page": 163
},
{
"level": 3,
"title": "Short Interest",
"page": 163
},
{
"level": 1,
"title": "PART 7 Trading Systems",
"page": 165
},
{
"level": 2,
"title": "38. System Testing, Paper Trading, and the Three Key Demands for Every Trade",
"page": 167
},
{
"level": 3,
"title": "Paper Trading",
"page": 168
},
{
"level": 3,
"title": "Three Key Demands for Every Trade",
"page": 169
},
{
"level": 2,
"title": "39. Triple Screen Trading System",
"page": 170
},
{
"level": 3,
"title": "Trend-Following Indicators and Oscillators",
"page": 171
},
{
"level": 3,
"title": "Choosing Timeframes—the Factor of Five",
"page": 171
},
{
"level": 3,
"title": "First Screen—Market Tide",
"page": 172
},
{
"level": 3,
"title": "Second Screen—Market Wave",
"page": 174
},
{
"level": 3,
"title": "Third Screen—Entry Technique",
"page": 174
},
{
"level": 3,
"title": "Triple Screen Summary",
"page": 176
},
{
"level": 3,
"title": "Triple Screen in Day-Trading",
"page": 177
},
{
"level": 3,
"title": "Stops and Profit Targets",
"page": 178
},
{
"level": 2,
"title": "40. The Impulse System",
"page": 178
},
{
"level": 3,
"title": "Entries",
"page": 180
},
{
"level": 3,
"title": "Exits",
"page": 182
},
{
"level": 2,
"title": "41. Channel Trading Systems",
"page": 182
},
{
"level": 3,
"title": "Two Ways to Construct a Channel",
"page": 183
},
{
"level": 3,
"title": "Symmetrical Channels",
"page": 183
},
{
"level": 3,
"title": "Mass Psychology",
"page": 184
},
{
"level": 3,
"title": "Trading Rules",
"page": 186
},
{
"level": 3,
"title": "Standard Deviation Channels (Bollinger Bands)",
"page": 188
},
{
"level": 1,
"title": "PART 8 Trading Vehicles",
"page": 189
},
{
"level": 2,
"title": "42. Stocks",
"page": 191
},
{
"level": 2,
"title": "43. ETFs",
"page": 192
},
{
"level": 2,
"title": "44. Options",
"page": 194
},
{
"level": 3,
"title": "Buying Options",
"page": 196
},
{
"level": 3,
"title": "Writing Options",
"page": 197
},
{
"level": 3,
"title": "Writer’s Choice",
"page": 198
},
{
"level": 3,
"title": "Limiting Risk",
"page": 199
},
{
"level": 3,
"title": "Can Option Buying Be Intelligent?",
"page": 201
},
{
"level": 2,
"title": "45. CFDs",
"page": 202
},
{
"level": 2,
"title": "46. Futures",
"page": 203
},
{
"level": 3,
"title": "Futures and Cash Trades",
"page": 204
},
{
"level": 3,
"title": "Hedging",
"page": 205
},
{
"level": 3,
"title": "Supply, Demand, and Seasonality",
"page": 206
},
{
"level": 3,
"title": "Floors and Ceilings",
"page": 207
},
{
"level": 3,
"title": "Contango, Inversion, and Spreads",
"page": 207
},
{
"level": 3,
"title": "Commitments of Traders",
"page": 208
},
{
"level": 3,
"title": "Margins and Risk Control",
"page": 209
},
{
"level": 2,
"title": "47. Forex",
"page": 210
},
{
"level": 1,
"title": "PART 9 Risk Management",
"page": 213
},
{
"level": 2,
"title": "48. Emotions and Probabilities",
"page": 213
},
{
"level": 3,
"title": "Why Johnny Can’t Sell",
"page": 214
},
{
"level": 3,
"title": "Probability and Innumeracy",
"page": 216
},
{
"level": 3,
"title": "A Positive Expectation",
"page": 217
},
{
"level": 3,
"title": "Businessman’s Risk or Loss",
"page": 217
},
{
"level": 2,
"title": "49. The Two Main Rules of Risk Control",
"page": 218
},
{
"level": 3,
"title": "The Two Worst Mistakes",
"page": 218
},
{
"level": 2,
"title": "50. The Two Percent Rule",
"page": 219
},
{
"level": 3,
"title": "The Iron Triangle of Risk Control",
"page": 220
},
{
"level": 3,
"title": "The 2% Rule in the Futures Markets",
"page": 221
},
{
"level": 2,
"title": "51. The Six Percent Rule",
"page": 224
},
{
"level": 3,
"title": "The Concept of Available Risk",
"page": 224
},
{
"level": 2,
"title": "52. A Comeback from a Drawdown",
"page": 226
},
{
"level": 3,
"title": "A Trading Manager",
"page": 228
},
{
"level": 1,
"title": "PART 10 Practical Details",
"page": 231
},
{
"level": 2,
"title": "53. How to Set Profit Targets: “Enough” Is the Power Word",
"page": 231
},
{
"level": 2,
"title": "54. How to Set Stops: Say No to Wishful Thinking",
"page": 235
},
{
"level": 3,
"title": "Place Stops outside the Zone of “Market Noise”",
"page": 236
},
{
"level": 3,
"title": "Don’t Place Your Stops at Obvious Levels",
"page": 236
},
{
"level": 3,
"title": "Don’t Let a Winning Trade Turn into a Loss",
"page": 239
},
{
"level": 3,
"title": "Move Your Stop Only in the Direction of Your Trade",
"page": 240
},
{
"level": 3,
"title": "Catastrophic Stops: A Professional’s Life Jacket",
"page": 240
},
{
"level": 3,
"title": "Stops and Overnight Gaps: Only for the Pros",
"page": 241
},
{
"level": 2,
"title": "55. Is This an A-Trade?",
"page": 241
},
{
"level": 2,
"title": "56. Scanning for Possible Trades",
"page": 246
},
{
"level": 1,
"title": "PART 11 Good Record-Keeping",
"page": 249
},
{
"level": 2,
"title": "57. Your Daily Homework",
"page": 250
},
{
"level": 3,
"title": "Are You Ready to Trade Today?",
"page": 252
},
{
"level": 2,
"title": "58. Creating and Scoring Trade Plans",
"page": 254
},
{
"level": 3,
"title": "Scoring Your Trade Plans (a Trade Apgar)",
"page": 254
},
{
"level": 3,
"title": "Using a Tradebill",
"page": 256
},
{
"level": 2,
"title": "59. Trade Journal",
"page": 259
},
{
"level": 3,
"title": "Three Benefits",
"page": 261
},
{
"level": 1,
"title": "CONCLUSION A Journey without an End: How to Continue Learning",
"page": 265
},
{
"level": 1,
"title": "Sources",
"page": 269
},
{
"level": 1,
"title": "Acknowledgments",
"page": 273
},
{
"level": 1,
"title": "About the Author",
"page": 275
},
{
"level": 1,
"title": "INDEX",
"page": 277
},
{
"level": 1,
"title": "EULA",
"page": 303
}
],
"category": "Trading",
"tags": [
"Psychology",
"Risk Management",
"Trading Tactics"
]
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"id": "the_art_and_science_of_trading_course_workbook_adam_grimes",
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{
"level": 1,
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{
"level": 1,
"title": "5: Anti",
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{
"level": 1,
"title": "6: Failure Test",
"page": 209
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{
"level": 1,
"title": "7: Breakout",
"page": 275
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{
"level": 1,
"title": "8: Pattern Failure",
"page": 312
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{
"level": 1,
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"page": 333
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"level": 1,
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"page": 385
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{
"level": 1,
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"page": 412
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{
"level": 1,
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"level": 1,
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"level": 1,
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"level": 1,
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"page": 533
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{
"level": 1,
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"page": 546
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{
"level": 1,
"title": "Backmatter",
"page": 584
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"Workbook",
"Technical Analysis"
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{
"level": 1,
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{
"level": 1,
"title": "Foreword",
"page": 7
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{
"level": 1,
"title": "About the Author",
"page": 10
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{
"level": 1,
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"page": 11
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{
"level": 1,
"title": "CHAPTER ONE - The Essentials",
"page": 14
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{
"level": 2,
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{
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{
"level": 2,
"title": "Section Three - Basic Market Strategies",
"page": 30
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{
"level": 1,
"title": "CHAPTER TWO - Single Candle Lines",
"page": 37
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{
"level": 2,
"title": "Section One - Spinning Tops and High Wave Candles",
"page": 37
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{
"level": 2,
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"page": 52
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{
"level": 2,
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"page": 63
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{
"level": 1,
"title": "CHAPTER THREE - The Power of Candle Patterns",
"page": 71
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{
"level": 2,
"title": "Section One - Close Cousins: Piercing, Dark Cloud Covers, Engulfing and Counterattacks",
"page": 71
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{
"level": 2,
"title": "Section Two - The Harami and Harami Cross, Morning and Evening Stars",
"page": 89
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{
"level": 2,
"title": "Section Three - Picturesque Storytellers: Tweezers, Crows and Soldiers",
"page": 99
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{
"level": 2,
"title": "Section Four - Disjointed Candles: Rising and Falling Windows",
"page": 110
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{
"level": 1,
"title": "CHAPTER FOUR - Taking Advantage of Market Opportunities",
"page": 120
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{
"level": 2,
"title": "Section One - Candle Chart Applications",
"page": 122
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{
"level": 2,
"title": "Section Two - Trading Guidelines",
"page": 130
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{
"level": 1,
"title": "CHAPTER FIVE - Progressive Charting",
"page": 132
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{
"level": 1,
"title": "CHAPTER SIX - Bringing It All Together: Real-World Charts",
"page": 185
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{
"level": 1,
"title": "Conclusion",
"page": 213
},
{
"level": 1,
"title": "Visual Glossary of Candlestick Terms Used in This Book",
"page": 214
},
{
"level": 1,
"title": "Index",
"page": 223
}
],
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"tags": [
"Candlesticks",
"Chart Patterns",
"Price Action"
]
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{
"level": 1,
"title": "Title Page",
"page": 8
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{
"level": 1,
"title": "Copyright",
"page": 9
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{
"level": 1,
"title": "Dedication",
"page": 11
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{
"level": 1,
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"page": 12
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{
"level": 1,
"title": "Acknowledgments",
"page": 17
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{
"level": 1,
"title": "Part I: The Foundation of Technical Analysis",
"page": 19
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{
"level": 2,
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"page": 20
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{
"level": 3,
"title": "DEFINING A TRADING EDGE",
"page": 21
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{
"level": 3,
"title": "FINDING AND DEVELOPING YOUR EDGE",
"page": 25
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{
"level": 3,
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"page": 27
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{
"level": 3,
"title": "INDICATORS",
"page": 33
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{
"level": 3,
"title": "THE TWO FORCES: TOWARD A NEW UNDERSTANDING OF MARKET ACTION",
"page": 34
},
{
"level": 3,
"title": "PRICE ACTION AND MARKET STRUCTURE ON CHARTS",
"page": 37
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{
"level": 3,
"title": "CHARTING BY HAND",
"page": 57
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{
"level": 2,
"title": "Chapter 2: The Market Cycle and the Four Trades",
"page": 60
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{
"level": 3,
"title": "WYCKOFF’S MARKET CYCLE",
"page": 61
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{
"level": 3,
"title": "THE FOUR TRADES",
"page": 73
},
{
"level": 3,
"title": "SUMMARY",
"page": 80
},
{
"level": 1,
"title": "Part II: Market Structure",
"page": 82
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{
"level": 2,
"title": "Chapter 3: On Trends",
"page": 83
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{
"level": 3,
"title": "THE FUNDAMENTAL PATTERN",
"page": 83
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{
"level": 3,
"title": "TREND STRUCTURE",
"page": 87
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{
"level": 3,
"title": "A DEEPER LOOK AT PULLBACKS: THE QUINTESSENTIAL TREND TRADING PATTERN",
"page": 104
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{
"level": 3,
"title": "TREND ANALYSIS",
"page": 121
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{
"level": 3,
"title": "SUMMARY",
"page": 145
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{
"level": 2,
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{
"level": 3,
"title": "SUPPORT AND RESISTANCE",
"page": 147
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{
"level": 3,
"title": "TRADING RANGES AS FUNCTIONAL STRUCTURES",
"page": 168
},
{
"level": 3,
"title": "SUMMARY",
"page": 179
},
{
"level": 2,
"title": "Chapter 5: Interfaces between Trends and Ranges",
"page": 181
},
{
"level": 3,
"title": "BREAKOUT TRADE: TRADING RANGE TO TREND",
"page": 182
},
{
"level": 3,
"title": "TREND TO TRADING RANGE",
"page": 199
},
{
"level": 3,
"title": "TREND TO OPPOSITE TREND (TREND REVERSAL)",
"page": 205
},
{
"level": 3,
"title": "TREND TO SAME TREND (FAILURE OF TREND REVERSAL)",
"page": 215
},
{
"level": 3,
"title": "SUMMARY",
"page": 216
},
{
"level": 1,
"title": "Part III: Trading Strategies",
"page": 219
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{
"level": 2,
"title": "CHAPTER 6: Practical Trading Templates",
"page": 220
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{
"level": 3,
"title": "FAILURE TEST",
"page": 221
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{
"level": 3,
"title": "PULLBACK, BUYING SUPPORT OR SHORTING RESISTANCE",
"page": 227
},
{
"level": 3,
"title": "PULLBACK, ENTERING LOWER TIME FRAME BREAKOUT",
"page": 239
},
{
"level": 3,
"title": "TRADING COMPLEX PULLBACKS",
"page": 244
},
{
"level": 3,
"title": "THE ANTI",
"page": 251
},
{
"level": 3,
"title": "BREAKOUTS, ENTERING IN THE PRECEDING BASE",
"page": 256
},
{
"level": 3,
"title": "BREAKOUTS, ENTERING ON FIRST PULLBACK FOLLOWING",
"page": 267
},
{
"level": 3,
"title": "FAILED BREAKOUTS",
"page": 270
},
{
"level": 3,
"title": "SUMMARY",
"page": 275
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{
"level": 2,
"title": "CHAPTER 7: Tools for Confirmation",
"page": 278
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{
"level": 3,
"title": "THE MOVING AVERAGE—THE STILL CENTER",
"page": 279
},
{
"level": 3,
"title": "CHANNELS: EMOTIONAL EXTREMES",
"page": 286
},
{
"level": 3,
"title": "INDICATORS: MACD",
"page": 295
},
{
"level": 3,
"title": "MULTIPLE TIME FRAME ANALYSIS",
"page": 311
},
{
"level": 2,
"title": "CHAPTER 8: Trade Management",
"page": 334
},
{
"level": 3,
"title": "PLACING THE INITIAL STOP",
"page": 336
},
{
"level": 3,
"title": "SETTING PRICE TARGETS",
"page": 339
},
{
"level": 3,
"title": "ACTIVE MANAGEMENT",
"page": 345
},
{
"level": 3,
"title": "PORTFOLIO CONSIDERATIONS",
"page": 361
},
{
"level": 3,
"title": "PRACTICAL ISSUES",
"page": 364
},
{
"level": 2,
"title": "CHAPTER 9: Risk Management",
"page": 376
},
{
"level": 3,
"title": "RISK AND POSITION SIZING",
"page": 376
},
{
"level": 3,
"title": "THEORETICAL PERSPECTIVES ON RISK",
"page": 397
},
{
"level": 3,
"title": "MISUNDERSTOOD RISK",
"page": 401
},
{
"level": 3,
"title": "PRACTICAL RISKS IN TRADING",
"page": 403
},
{
"level": 3,
"title": "SUMMARY",
"page": 412
},
{
"level": 2,
"title": "CHAPTER 10: Trade Examples",
"page": 413
},
{
"level": 3,
"title": "TREND CONTINUATION",
"page": 415
},
{
"level": 3,
"title": "TREND TERMINATION",
"page": 442
},
{
"level": 3,
"title": "FAILURE TEST FAILURES",
"page": 449
},
{
"level": 3,
"title": "TRADING PARABOLIC CLIMAXES",
"page": 454
},
{
"level": 3,
"title": "THE ANTI",
"page": 460
},
{
"level": 3,
"title": "TRADING AT SUPPORT AND RESISTANCE",
"page": 471
},
{
"level": 3,
"title": "SUMMARY",
"page": 481
},
{
"level": 1,
"title": "Part IV: The Individual, Self-Directed Trader",
"page": 482
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{
"level": 2,
"title": "CHAPTER 11: The Trader’s Mind",
"page": 483
},
{
"level": 3,
"title": "PSYCHOLOGICAL CHALLENGES OF THE MARKETPLACE",
"page": 485
},
{
"level": 3,
"title": "EVOLUTIONARY ADAPTATIONS",
"page": 485
},
{
"level": 3,
"title": "COGNITIVE BIASES",
"page": 491
},
{
"level": 3,
"title": "THE RANDOM REINFORCEMENT PROBLEM",
"page": 496
},
{
"level": 3,
"title": "EMOTIONS: THE ENEMY WITHIN",
"page": 498
},
{
"level": 3,
"title": "INTUITION",
"page": 501
},
{
"level": 3,
"title": "FLOW",
"page": 506
},
{
"level": 3,
"title": "PRACTICAL PSYCHOLOGY",
"page": 511
},
{
"level": 3,
"title": "SUMMARY",
"page": 518
},
{
"level": 2,
"title": "CHAPTER 12: Becoming a Trader",
"page": 520
},
{
"level": 3,
"title": "THE PROCESS",
"page": 521
},
{
"level": 3,
"title": "RECORD KEEPING",
"page": 534
},
{
"level": 3,
"title": "STATISTICAL ANALYSIS OF TRADING RESULTS",
"page": 539
},
{
"level": 3,
"title": "SUMMARY",
"page": 550
},
{
"level": 1,
"title": "Appendix A: Trading Primer",
"page": 552
},
{
"level": 2,
"title": "THE SPREAD",
"page": 553
},
{
"level": 2,
"title": "TWO TYPES OF ORDERS",
"page": 556
},
{
"level": 2,
"title": "CHARTS",
"page": 558
},
{
"level": 1,
"title": "Appendix B: A Deeper Look at Moving Averages and the MACD",
"page": 565
},
{
"level": 2,
"title": "MOVING AVERAGES",
"page": 565
},
{
"level": 2,
"title": "THE MACD",
"page": 574
},
{
"level": 1,
"title": "Appendix C: Sample Trade Data",
"page": 586
},
{
"level": 1,
"title": "Glossary",
"page": 589
},
{
"level": 1,
"title": "Bibliography",
"page": 618
},
{
"level": 1,
"title": "About the Author",
"page": 622
},
{
"level": 1,
"title": "Index",
"page": 623
}
],
"category": "Trading",
"tags": [
"Market Structure",
"Price Action",
"Trading Strategy"
]
},
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"level": 1,
"title": "Half Title",
"page": 2
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{
"level": 1,
"title": "Series Page",
"page": 3
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{
"level": 1,
"title": "Title Page",
"page": 4
},
{
"level": 1,
"title": "Copyright Page",
"page": 6
},
{
"level": 1,
"title": "Dedication",
"page": 8
},
{
"level": 1,
"title": "Epigraph",
"page": 9
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{
"level": 1,
"title": "Table of Contents",
"page": 10
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{
"level": 1,
"title": "Foreword",
"page": 12
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{
"level": 1,
"title": "Acknowledgments",
"page": 14
},
{
"level": 1,
"title": "Introduction",
"page": 15
},
{
"level": 1,
"title": "Chapter 1: Where to Find Trades",
"page": 20
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{
"level": 1,
"title": "Chapter 2: Drawing Lines",
"page": 23
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{
"level": 1,
"title": "Chapter 3: The Story of the Lines",
"page": 41
},
{
"level": 1,
"title": "Chapter 4: The Logic of Reading Bar Charts",
"page": 66
},
{
"level": 1,
"title": "Chapter 5: Springs",
"page": 98
},
{
"level": 1,
"title": "Chapter 6: Upthrusts",
"page": 124
},
{
"level": 1,
"title": "Chapter 7: Absorption",
"page": 138
},
{
"level": 1,
"title": "Chapter 8: Chart Studies",
"page": 149
},
{
"level": 1,
"title": "Chapter 9: Tape ReadingPart I",
"page": 159
},
{
"level": 1,
"title": "Chapter 10: Tape Reading Part II",
"page": 202
},
{
"level": 1,
"title": "Chapter 11: Point-and-Figure and Renko",
"page": 221
},
{
"level": 1,
"title": "About the Author",
"page": 245
},
{
"level": 1,
"title": "Index",
"page": 246
}
],
"category": "Trading",
"tags": [
"Wyckoff Method",
"Price Action",
"Tape Reading"
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"level": 1,
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"page": 3
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{
"level": 1,
"title": "Contents",
"page": 9
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{
"level": 1,
"title": "Preface to the Fifth Edition",
"page": 17
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{
"level": 1,
"title": "CHAPTER 1 Introduction",
"page": 21
},
{
"level": 2,
"title": "THE EXPANDING ROLE OF TECHNICAL ANALYSIS",
"page": 21
},
{
"level": 2,
"title": "CONVERGENCE OF TRADING STYLES IN STOCKS AND FUTURES",
"page": 22
},
{
"level": 2,
"title": "A LINE IN THE SAND BETWEEN FUNDAMENTALS AND TECHNICAL ANALYSIS",
"page": 24
},
{
"level": 2,
"title": "PROFESSIONAL AND AMATEUR",
"page": 25
},
{
"level": 2,
"title": "RANDOM WALK",
"page": 26
},
{
"level": 2,
"title": "DECIDING ON A TRADING STYLE",
"page": 28
},
{
"level": 2,
"title": "MEASURING NOISE",
"page": 30
},
{
"level": 3,
"title": "Other Measurements of Noise",
"page": 31
},
{
"level": 3,
"title": "Impact on Trading",
"page": 33
},
{
"level": 2,
"title": "MATURING MARKETS AND GLOBALIZATION",
"page": 34
},
{
"level": 2,
"title": "BACKGROUND MATERIAL",
"page": 36
},
{
"level": 2,
"title": "RESEARCH GUIDELINES",
"page": 38
},
{
"level": 2,
"title": "OBJECTIVES OF THIS BOOK",
"page": 39
},
{
"level": 2,
"title": "PROFILE OF A TRADING SYSTEM",
"page": 40
},
{
"level": 3,
"title": "Changing Markets and System Longevity",
"page": 40
},
{
"level": 3,
"title": "The Choice of Data",
"page": 41
},
{
"level": 3,
"title": "Diversifi cation",
"page": 41
},
{
"level": 3,
"title": "Trade Selection",
"page": 41
},
{
"level": 3,
"title": "Testing",
"page": 42
},
{
"level": 3,
"title": "Risk Control",
"page": 42
},
{
"level": 3,
"title": "Transaction Costs",
"page": 42
},
{
"level": 3,
"title": "Performance Monitoring and Feedback",
"page": 42
},
{
"level": 2,
"title": "A WORD ABOUT THE NOTATION USED IN THIS BOOK",
"page": 43
},
{
"level": 2,
"title": "AND FINALLY . . .",
"page": 43
},
{
"level": 1,
"title": "CHAPTER 2 Basic Concepts and Calculations",
"page": 45
},
{
"level": 2,
"title": "Helpful Software",
"page": 46
},
{
"level": 2,
"title": "ABOUT DATA AND AVERAGING",
"page": 46
},
{
"level": 3,
"title": "The Law of Averages",
"page": 46
},
{
"level": 3,
"title": "In-Sample and Out-of-Sample Data",
"page": 47
},
{
"level": 3,
"title": "How Much Data Is Enough?",
"page": 47
},
{
"level": 2,
"title": "ON AVERAGE",
"page": 50
},
{
"level": 3,
"title": "Geometric Mean",
"page": 51
},
{
"level": 3,
"title": "Quadratic Mean",
"page": 52
},
{
"level": 3,
"title": "Harmonic Mean",
"page": 52
},
{
"level": 2,
"title": "PRICE DISTRIBUTION",
"page": 53
},
{
"level": 3,
"title": "Frequency Distributions",
"page": 53
},
{
"level": 3,
"title": "Median and Mode",
"page": 56
},
{
"level": 3,
"title": "Characteristics of the Principal Averages",
"page": 57
},
{
"level": 2,
"title": "MOMENTS OF THE DISTRIBUTION: VARIANCE, SKEWNESS, AND KURTOSIS",
"page": 57
},
{
"level": 3,
"title": "Variance (2nd Moment)",
"page": 58
},
{
"level": 3,
"title": "Skewness (3rd moment",
"page": 59
},
{
"level": 3,
"title": "Kurtosis (4th Moment)",
"page": 62
},
{
"level": 3,
"title": "Choosing between Frequency Distribution and Standard Deviation",
"page": 63
},
{
"level": 3,
"title": "Probability of Achieving a Return",
"page": 64
},
{
"level": 3,
"title": "Standard Error",
"page": 66
},
{
"level": 3,
"title": "t-Statistic and Degrees of Freedom",
"page": 67
},
{
"level": 2,
"title": "STANDARDIZING RISK AND RETURN",
"page": 68
},
{
"level": 3,
"title": "Calculating Returns",
"page": 69
},
{
"level": 3,
"title": "Risk and Volatility",
"page": 71
},
{
"level": 2,
"title": "THE INDEX",
"page": 74
},
{
"level": 3,
"title": "Constructing an Index",
"page": 75
},
{
"level": 3,
"title": "Calculating the Net Asset Value—Indexing Returns",
"page": 75
},
{
"level": 3,
"title": "Leveraged Long or Short Index Funds",
"page": 76
},
{
"level": 3,
"title": "Cross-Market and Weighted Index",
"page": 77
},
{
"level": 3,
"title": "U.S. Dollar Index",
"page": 77
},
{
"level": 2,
"title": "STANDARD MEASUREMENTS OF PERFORMANCE",
"page": 78
},
{
"level": 2,
"title": "PROBABILITY",
"page": 79
},
{
"level": 3,
"title": "Laws of Probability",
"page": 80
},
{
"level": 3,
"title": "Joint and Marginal Probability",
"page": 81
},
{
"level": 3,
"title": "Contingent Probability",
"page": 81
},
{
"level": 3,
"title": "Markov Chains",
"page": 82
},
{
"level": 3,
"title": "Bayes’ Theorem",
"page": 85
},
{
"level": 2,
"title": "SUPPLY AND DEMAND",
"page": 86
},
{
"level": 3,
"title": "Demand",
"page": 86
},
{
"level": 3,
"title": "Supply",
"page": 88
},
{
"level": 3,
"title": "Equilibrium",
"page": 89
},
{
"level": 3,
"title": "Cobweb Charts",
"page": 90
},
{
"level": 3,
"title": "Building a Model",
"page": 91
},
{
"level": 3,
"title": "Changing Factors",
"page": 94
},
{
"level": 3,
"title": "Economic Reports",
"page": 96
},
{
"level": 1,
"title": "CHAPTER 3 Charting",
"page": 99
},
{
"level": 2,
"title": "FINDING CONSISTENT PATTERNS",
"page": 100
},
{
"level": 3,
"title": "What Causes Chart Patterns?",
"page": 101
},
{
"level": 2,
"title": "WHAT CAUSES THE MAJOR PRICE MOVES AND TRENDS?",
"page": 102
},
{
"level": 2,
"title": "THE BAR CHART AND ITS INTERPRETATION BY CHARLES DOW",
"page": 103
},
{
"level": 3,
"title": "The Dow Theory",
"page": 104
},
{
"level": 3,
"title": "The Basic Tenets of the Dow Theory",
"page": 105
},
{
"level": 3,
"title": "Interpreting Today’s S&P Using Dow Theory",
"page": 110
},
{
"level": 3,
"title": "Dow Theory and Futures Markets",
"page": 112
},
{
"level": 2,
"title": "CHART FORMATIONS",
"page": 112
},
{
"level": 3,
"title": "The Trend in Retrospect",
"page": 113
},
{
"level": 2,
"title": "TRENDLINES",
"page": 114
},
{
"level": 3,
"title": "Redrawing Trendlines",
"page": 114
},
{
"level": 3,
"title": "Support and Resistance Lines",
"page": 115
},
{
"level": 3,
"title": "Rules for Trading Using Trendlines",
"page": 117
},
{
"level": 3,
"title": "Trading Rules for Horizontal Support and Resistance Levels",
"page": 118
},
{
"level": 3,
"title": "Creating a Channel with Trendlines",
"page": 120
},
{
"level": 2,
"title": "ONE-DAY PATTERNS",
"page": 122
},
{
"level": 3,
"title": "Gaps",
"page": 122
},
{
"level": 3,
"title": "Trading Rules for Gaps",
"page": 125
},
{
"level": 3,
"title": "Spikes",
"page": 125
},
{
"level": 3,
"title": "Island Reversals",
"page": 127
},
{
"level": 3,
"title": "Reversal Days and Key Reversal Days",
"page": 129
},
{
"level": 3,
"title": "Wide-Ranging Days, Inside Days, and Outside Days",
"page": 132
},
{
"level": 2,
"title": "CONTINUATION PATTERNS",
"page": 133
},
{
"level": 3,
"title": "Symmetric, Descending, and Ascending Triangles",
"page": 134
},
{
"level": 3,
"title": "Formation of a Descending Triangle",
"page": 134
},
{
"level": 3,
"title": "Flags",
"page": 135
},
{
"level": 3,
"title": "Pennants",
"page": 135
},
{
"level": 3,
"title": "Wedges",
"page": 135
},
{
"level": 2,
"title": "BASIC CONCEPTS IN CHART TRADING",
"page": 137
},
{
"level": 3,
"title": "Major and Minor Formations",
"page": 137
},
{
"level": 3,
"title": "Market Noise",
"page": 138
},
{
"level": 2,
"title": "ACCUMULATION AND DISTRIBUTION—BOTTOMS AND TOPS",
"page": 138
},
{
"level": 3,
"title": "V-Tops and V-Bottoms",
"page": 139
},
{
"level": 3,
"title": "Double and Triple Tops and Bottoms",
"page": 142
},
{
"level": 3,
"title": "Extended Rectangle Bottom",
"page": 146
},
{
"level": 3,
"title": "Rounded Tops and Bottoms",
"page": 148
},
{
"level": 3,
"title": "Wedge Top and Bottom Patterns",
"page": 149
},
{
"level": 3,
"title": "Head-and-Shoulders Formation",
"page": 149
},
{
"level": 2,
"title": "EPISODIC PATTERNS",
"page": 152
},
{
"level": 2,
"title": "PRICE OBJECTIVES FOR BAR CHARTING",
"page": 153
},
{
"level": 3,
"title": "Common Elements of Profit Objectives",
"page": 154
},
{
"level": 3,
"title": "Profit Targets for Consolidation Areas and Channels",
"page": 154
},
{
"level": 3,
"title": "Targeting Profits after Tops and Bottoms",
"page": 156
},
{
"level": 2,
"title": "IMPLIED STRATEGIES IN CANDLESTICK CHARTS",
"page": 159
},
{
"level": 3,
"title": "Quantifying Candle Formations",
"page": 162
},
{
"level": 3,
"title": "Qstick",
"page": 163
},
{
"level": 3,
"title": "Pivot Points and Candle Charts",
"page": 163
},
{
"level": 3,
"title": "The Best of the Candles",
"page": 164
},
{
"level": 2,
"title": "PRACTICAL USE OF THE BAR CHART",
"page": 164
},
{
"level": 3,
"title": "Trends Are Easier to See in Retrospect",
"page": 164
},
{
"level": 3,
"title": "Long-Term Trends Are More Reliable than Short-Term Trends",
"page": 164
},
{
"level": 3,
"title": "Multiple Signals",
"page": 165
},
{
"level": 3,
"title": "Pattern Failures",
"page": 166
},
{
"level": 3,
"title": "Testing Your Skill",
"page": 167
},
{
"level": 2,
"title": "EVOLUTION IN PRICE PATTERNS",
"page": 168
},
{
"level": 3,
"title": "Globalization: The Similarity of Asian Markets",
"page": 169
},
{
"level": 1,
"title": "CHAPTER 4 Charting Systems and Techniques",
"page": 171
},
{
"level": 2,
"title": "DUNNIGAN AND THE THRUST METHOD",
"page": 172
},
{
"level": 3,
"title": "The Thrust Method",
"page": 172
},
{
"level": 3,
"title": "One-Way Formula",
"page": 174
},
{
"level": 3,
"title": "The Square Root Theory",
"page": 175
},
{
"level": 2,
"title": "NOFRI’S CONGESTION-PHASE SYSTEM",
"page": 175
},
{
"level": 3,
"title": "Implementing the Congestion-Phase System",
"page": 176
},
{
"level": 2,
"title": "OUTSIDE DAYS WITH AN OUTSIDE CLOSE",
"page": 177
},
{
"level": 2,
"title": "INSIDE DAYS",
"page": 178
},
{
"level": 2,
"title": "PIVOT POINTS",
"page": 178
},
{
"level": 2,
"title": "ACTION AND REACTION",
"page": 179
},
{
"level": 3,
"title": "Fibonacci Ratios",
"page": 180
},
{
"level": 3,
"title": "Tubbs’ Law of Proportion",
"page": 180
},
{
"level": 3,
"title": "Trident",
"page": 182
},
{
"level": 3,
"title": "An Overview of Percentage Retracements",
"page": 183
},
{
"level": 3,
"title": "Clustering",
"page": 186
},
{
"level": 2,
"title": "CHANNEL BREAKOUT",
"page": 187
},
{
"level": 2,
"title": "MOVING CHANNELS",
"page": 190
},
{
"level": 2,
"title": "COMMODITY CHANNEL INDEX",
"page": 191
},
{
"level": 2,
"title": "WYCKOFF’S COMBINED TECHNIQUES",
"page": 192
},
{
"level": 2,
"title": "COMPLEX PATTERNS",
"page": 193
},
{
"level": 3,
"title": "DeMark’s Sequential™",
"page": 193
},
{
"level": 3,
"title": "Thinking about Complex Patterns",
"page": 195
},
{
"level": 2,
"title": "A STUDY OF CHARTING PATTERNS",
"page": 196
},
{
"level": 3,
"title": "Computer Recognition of Chart Patterns",
"page": 196
},
{
"level": 3,
"title": "Results of the Study",
"page": 197
},
{
"level": 2,
"title": "BULKOWSKI’S CHART PATTERN RANKINGS",
"page": 198
},
{
"level": 1,
"title": "CHAPTER 5 Event-DrivenT rends",
"page": 201
},
{
"level": 2,
"title": "SWING TRADING",
"page": 202
},
{
"level": 3,
"title": "Constructing a Classic Swing Chart",
"page": 202
},
{
"level": 2,
"title": "CONSTRUCTING A SWING CHART USING A SWING FILTER",
"page": 204
},
{
"level": 3,
"title": "S&P Example",
"page": 205
},
{
"level": 3,
"title": "Percentage Swings",
"page": 207
},
{
"level": 3,
"title": "Rules for Swing Trading",
"page": 208
},
{
"level": 3,
"title": "The Swing Philosophy",
"page": 209
},
{
"level": 3,
"title": "The Livermore System",
"page": 209
},
{
"level": 3,
"title": "Programming the Swing High and Low Points",
"page": 211
},
{
"level": 3,
"title": "Keltner’s Minor Trend Rule",
"page": 211
},
{
"level": 3,
"title": "Pivot Points",
"page": 212
},
{
"level": 3,
"title": "Wilder’s Swing Index",
"page": 212
},
{
"level": 2,
"title": "POINT-AND-FIGURE CHARTING",
"page": 215
},
{
"level": 3,
"title": "Plotting Prices Using the Point-and-Figure Method",
"page": 217
},
{
"level": 3,
"title": "Point-and-Figure Chart Formations",
"page": 219
},
{
"level": 3,
"title": "Point-and-Figure Trendlines",
"page": 221
},
{
"level": 3,
"title": "Point-and-Figure Trading Techniques",
"page": 227
},
{
"level": 3,
"title": "Selecting Trades",
"page": 233
},
{
"level": 3,
"title": "Price Objectives",
"page": 233
},
{
"level": 3,
"title": "Point-and-Figure with Variable Box Sizes",
"page": 238
},
{
"level": 3,
"title": "Recent Applications of Point-and-Figure",
"page": 241
},
{
"level": 2,
"title": "THE N-DAY BREAKOUT",
"page": 242
},
{
"level": 3,
"title": "Donchian’s 4-Week Rule",
"page": 243
},
{
"level": 3,
"title": "Modifying the N-Day Rule",
"page": 244
},
{
"level": 3,
"title": "Testing the N-Day Rule",
"page": 245
},
{
"level": 3,
"title": "The N-Day Breakout Applied to Stocks",
"page": 248
},
{
"level": 3,
"title": "The Turtles",
"page": 249
},
{
"level": 1,
"title": "CHAPTER 6 Regression Analysis",
"page": 255
},
{
"level": 2,
"title": "COMPONENTS OF A TIME SERIES",
"page": 255
},
{
"level": 2,
"title": "CHARACTERISTICS OF THE PRICE DATA",
"page": 256
},
{
"level": 3,
"title": "Selection of the Calculation Period",
"page": 257
},
{
"level": 2,
"title": "LINEAR REGRESSION",
"page": 258
},
{
"level": 3,
"title": "Explaining, Not Predicting",
"page": 258
},
{
"level": 3,
"title": "Calculating the Best Straight-Line Fit",
"page": 259
},
{
"level": 3,
"title": "Excel Regression",
"page": 262
},
{
"level": 3,
"title": "Corn Explained by Soybeans",
"page": 262
},
{
"level": 3,
"title": "Gold Bullion and Barrick Gold Corporation",
"page": 264
},
{
"level": 2,
"title": "LINEAR CORRELATION",
"page": 268
},
{
"level": 3,
"title": "Correlation Adjustments When Using a Time Series",
"page": 269
},
{
"level": 3,
"title": "Forecasting Using Regression",
"page": 270
},
{
"level": 2,
"title": "NONLINEAR APPROXIMATIONS FOR TWO VARIABLES",
"page": 272
},
{
"level": 3,
"title": "Second-Order Least-Squares Solution",
"page": 273
},
{
"level": 2,
"title": "TRANSFORMING NONLINEAR TO LINEAR",
"page": 276
},
{
"level": 2,
"title": "EVALUATION OF TWO-VARIABLE TECHNIQUES",
"page": 277
},
{
"level": 3,
"title": "Direct Relationships",
"page": 278
},
{
"level": 2,
"title": "MULTIVARIATE APPROXIMATIONS",
"page": 279
},
{
"level": 3,
"title": "Selecting Data for an S&P Model",
"page": 283
},
{
"level": 3,
"title": "Generalized Multivariate Solution",
"page": 285
},
{
"level": 3,
"title": "Least-Squares Sinusoidal",
"page": 286
},
{
"level": 2,
"title": "ARIMA",
"page": 287
},
{
"level": 3,
"title": "Forecast Results",
"page": 290
},
{
"level": 3,
"title": "ARIMA Trading Strategies",
"page": 291
},
{
"level": 3,
"title": "Kalman Filters",
"page": 292
},
{
"level": 2,
"title": "BASIC TRADING SIGNALS USING A LINEAR REGRESSION MODEL",
"page": 293
},
{
"level": 3,
"title": "Adding Confidence Bands",
"page": 293
},
{
"level": 3,
"title": "Using the Linear Regression Slope",
"page": 295
},
{
"level": 3,
"title": "Adding Correlations",
"page": 295
},
{
"level": 3,
"title": "Forecast Oscillator",
"page": 296
},
{
"level": 2,
"title": "MEASURING MARKET STRENGTH",
"page": 296
},
{
"level": 1,
"title": "CHAPTER 7 Time-Based Trend Calculations",
"page": 299
},
{
"level": 2,
"title": "FORECASTING AND FOLLOWING",
"page": 299
},
{
"level": 3,
"title": "Least-Squares Model",
"page": 301
},
{
"level": 3,
"title": "Error Analysis",
"page": 301
},
{
"level": 3,
"title": "Limiting the Forecast to Direction",
"page": 303
},
{
"level": 2,
"title": "PRICE CHANGE OVER TIME",
"page": 304
},
{
"level": 2,
"title": "THE MOVING AVERAGE",
"page": 304
},
{
"level": 3,
"title": "User-Friendly Software",
"page": 306
},
{
"level": 3,
"title": "What Do You Average?",
"page": 306
},
{
"level": 3,
"title": "Types of Moving Averages",
"page": 307
},
{
"level": 3,
"title": "Triangular Weighting",
"page": 309
},
{
"level": 3,
"title": "Pivot-Point Weighting",
"page": 310
},
{
"level": 3,
"title": "Standard Deviation Moving Average",
"page": 311
},
{
"level": 2,
"title": "GEOMETRIC MOVING AVERAGE",
"page": 312
},
{
"level": 2,
"title": "ACCUMULATIVE AVERAGE",
"page": 313
},
{
"level": 2,
"title": "RESET ACCUMULATIVE AVERAGE",
"page": 313
},
{
"level": 2,
"title": "DROP-OFF EFFECT",
"page": 313
},
{
"level": 2,
"title": "EXPONENTIAL SMOOTHING",
"page": 313
},
{
"level": 3,
"title": "The Common Form of Exponential Smoothing",
"page": 314
},
{
"level": 3,
"title": "The Smoothing Constant Expressed in Days",
"page": 315
},
{
"level": 3,
"title": "Estimating Residual Impact",
"page": 316
},
{
"level": 3,
"title": "Relating Exponential and Standard Averages",
"page": 318
},
{
"level": 3,
"title": "Correcting for the Lag",
"page": 321
},
{
"level": 3,
"title": "Double Smoothing",
"page": 321
},
{
"level": 3,
"title": "Double Smoothing of Price Changes",
"page": 323
},
{
"level": 3,
"title": "Comparison of Exponential Smoothing Methods",
"page": 324
},
{
"level": 3,
"title": "Regularization",
"page": 325
},
{
"level": 3,
"title": "Hull Moving Average",
"page": 326
},
{
"level": 2,
"title": "PLOTTING LAGS AND LEADS",
"page": 327
},
{
"level": 1,
"title": "CHAPTER 8 Trend Systems",
"page": 329
},
{
"level": 2,
"title": "WHY TREND SYSTEMS WORK",
"page": 329
},
{
"level": 3,
"title": "How Often Do Markets Trend?",
"page": 330
},
{
"level": 3,
"title": "The Fat Tail",
"page": 330
},
{
"level": 3,
"title": "Distribution of Profits and Losses",
"page": 331
},
{
"level": 3,
"title": "Time Intervals, Market Maturity, and Trends",
"page": 333
},
{
"level": 2,
"title": "BASIC BUY AND SELL SIGNALS",
"page": 334
},
{
"level": 3,
"title": "Using the Trendline for Signals",
"page": 335
},
{
"level": 3,
"title": "Comparing Basic Trading Signals",
"page": 335
},
{
"level": 3,
"title": "Anticipating the Trend Signal",
"page": 336
},
{
"level": 3,
"title": "Profile of a Simple Moving Average System",
"page": 337
},
{
"level": 2,
"title": "BANDS AND CHANNELS",
"page": 340
},
{
"level": 3,
"title": "Bands Formed by Highs and Lows",
"page": 340
},
{
"level": 3,
"title": "Keltner Channels",
"page": 341
},
{
"level": 3,
"title": "Percentage Bands",
"page": 341
},
{
"level": 3,
"title": "Volatility Bands",
"page": 342
},
{
"level": 3,
"title": "Bollinger Bands",
"page": 343
},
{
"level": 3,
"title": "Rules for Using Bands",
"page": 346
},
{
"level": 3,
"title": "Timing the Order",
"page": 348
},
{
"level": 3,
"title": "The Compromise between Reliability and Delay",
"page": 349
},
{
"level": 3,
"title": "Bollinger on Bollinger Bands",
"page": 349
},
{
"level": 3,
"title": "Combining Bollinger with Other Indicators",
"page": 350
},
{
"level": 2,
"title": "APPLICATIONS OF A SINGLE TREND",
"page": 350
},
{
"level": 3,
"title": "A Simple Momentum System",
"page": 351
},
{
"level": 3,
"title": "A Step-Weighted Moving Average",
"page": 351
},
{
"level": 3,
"title": "The Volatility System",
"page": 353
},
{
"level": 3,
"title": "The 10-Day Moving Average Rule",
"page": 353
},
{
"level": 3,
"title": "TRIX, Triple Exponential Smoothing",
"page": 354
},
{
"level": 3,
"title": "Raschke’s First Cross",
"page": 355
},
{
"level": 2,
"title": "COMPARISON OF MAJOR TREND SYSTEMS",
"page": 356
},
{
"level": 3,
"title": "Trading Rules",
"page": 357
},
{
"level": 3,
"title": "Spreadsheet Example",
"page": 358
},
{
"level": 3,
"title": "Comparative Results",
"page": 360
},
{
"level": 3,
"title": "Different Trend Philosophies",
"page": 362
},
{
"level": 3,
"title": "Different Risk Profiles",
"page": 362
},
{
"level": 3,
"title": "Expectations",
"page": 366
},
{
"level": 3,
"title": "Robust Testing",
"page": 368
},
{
"level": 3,
"title": "Which System Is Best?",
"page": 369
},
{
"level": 3,
"title": "Programs for the Six Systems",
"page": 369
},
{
"level": 2,
"title": "TECHNIQUES USING TWO TRENDLINES",
"page": 370
},
{
"level": 3,
"title": "Donchian’s 5- and 20-Day Moving Average System",
"page": 372
},
{
"level": 3,
"title": "Donchian’s 20- and 40-Day Breakout",
"page": 373
},
{
"level": 3,
"title": "The Golden Cross and the Death Cross",
"page": 374
},
{
"level": 3,
"title": "Staying Ahead of the Crowd",
"page": 375
},
{
"level": 2,
"title": "MULTIPLE TRENDS AND COMMON SENSE",
"page": 376
},
{
"level": 3,
"title": "Three Trends",
"page": 377
},
{
"level": 3,
"title": "Modified 3-Crossover Model",
"page": 378
},
{
"level": 3,
"title": "4-9-18 Crossover Model",
"page": 378
},
{
"level": 2,
"title": "COMPREHENSIVE STUDIES",
"page": 379
},
{
"level": 2,
"title": "SELECTING THE RIGHT TREND METHOD AND SPEED",
"page": 379
},
{
"level": 3,
"title": "Selecting the Trend Speed",
"page": 380
},
{
"level": 2,
"title": "MOVING AVERAGE SEQUENCES: SIGNAL PROGRESSION",
"page": 383
},
{
"level": 3,
"title": "Averaging the Sequences",
"page": 384
},
{
"level": 2,
"title": "EARLY EXITS FROM A TREND",
"page": 386
},
{
"level": 2,
"title": "MOVING AVERAGE PROJECTED CROSSOVERS",
"page": 386
},
{
"level": 1,
"title": "CHAPTER 9 Momentum and Oscillators",
"page": 389
},
{
"level": 2,
"title": "MOMENTUM",
"page": 390
},
{
"level": 3,
"title": "Characteristics of Momentum",
"page": 392
},
{
"level": 3,
"title": "Momentum as a Percentage",
"page": 393
},
{
"level": 3,
"title": "Momentum as the Difference between Price and Trend",
"page": 394
},
{
"level": 3,
"title": "Momentum as a Trend Indicator",
"page": 394
},
{
"level": 3,
"title": "Timing an Entry",
"page": 396
},
{
"level": 3,
"title": "Identifying and Fading Price Extremes",
"page": 397
},
{
"level": 3,
"title": "High-Momentum Trading",
"page": 401
},
{
"level": 3,
"title": "Moving Average Convergence/Divergence (MACD)",
"page": 402
},
{
"level": 2,
"title": "DIVERGENCE INDEX",
"page": 404
},
{
"level": 2,
"title": "OSCILLATORS",
"page": 405
},
{
"level": 3,
"title": "Relative Strength Index",
"page": 406
},
{
"level": 3,
"title": "Stochastics",
"page": 412
},
{
"level": 3,
"title": "Left and Right Crossovers",
"page": 415
},
{
"level": 3,
"title": "Creating a Stochastic from the RSI",
"page": 416
},
{
"level": 3,
"title": "Williams’s Oscillators",
"page": 417
},
{
"level": 3,
"title": "Relative Vigor Index",
"page": 423
},
{
"level": 2,
"title": "DOUBLE-SMOOTHED MOMENTUM",
"page": 424
},
{
"level": 3,
"title": "True Strength Index",
"page": 424
},
{
"level": 3,
"title": "Double-Smoothed Stochastics",
"page": 426
},
{
"level": 3,
"title": "TRIX",
"page": 426
},
{
"level": 3,
"title": "Changing the Divisor",
"page": 428
},
{
"level": 3,
"title": "An Oscillator to Distinguish between Trending and Sideways Markets",
"page": 428
},
{
"level": 3,
"title": "Adding Volume to Momentum",
"page": 428
},
{
"level": 3,
"title": "Scaling by a Percentage or Volatility",
"page": 429
},
{
"level": 3,
"title": "Volume-Weighted RSI",
"page": 429
},
{
"level": 3,
"title": "Herrick Payoff Index",
"page": 430
},
{
"level": 3,
"title": "Comments on the Use of Volume",
"page": 431
},
{
"level": 2,
"title": "VELOCITY AND ACCELERATION",
"page": 432
},
{
"level": 3,
"title": "Finding the Velocity and Acceleration of Different Techniques",
"page": 434
},
{
"level": 3,
"title": "Using Velocity and Acceleration to Identify a Sideways Market",
"page": 435
},
{
"level": 3,
"title": "Quick Calculation of Velocity and Acceleration",
"page": 435
},
{
"level": 2,
"title": "HYBRID MOMENTUM TECHNIQUES",
"page": 436
},
{
"level": 3,
"title": "Combining a Trend and an Oscillator",
"page": 436
},
{
"level": 3,
"title": "Cambridge Hook",
"page": 438
},
{
"level": 2,
"title": "MOMENTUM DIVERGENCE",
"page": 438
},
{
"level": 3,
"title": "An Amazon.com Example Using Momentum Peaks",
"page": 440
},
{
"level": 3,
"title": "Trading Rules for Divergence",
"page": 441
},
{
"level": 3,
"title": "Programming Divergence",
"page": 443
},
{
"level": 3,
"title": "Slope Divergence",
"page": 444
},
{
"level": 2,
"title": "SOME FINAL COMMENTS ON MOMENTUM",
"page": 446
},
{
"level": 1,
"title": "CHAPTER 10 Seasonality and Calendar Patterns",
"page": 447
},
{
"level": 2,
"title": "A CONSISTENT FACTOR",
"page": 448
},
{
"level": 2,
"title": "THE SEASONAL PATTERN",
"page": 449
},
{
"level": 2,
"title": "POPULAR METHODS FOR CALCULATING SEASONALITY",
"page": 450
},
{
"level": 3,
"title": "An Important Note about the Data",
"page": 450
},
{
"level": 3,
"title": "Seasonal Decomposition",
"page": 450
},
{
"level": 3,
"title": "Detrending",
"page": 451
},
{
"level": 3,
"title": "Basic Calculation Components",
"page": 451
},
{
"level": 3,
"title": "A Program to Create a Table of Monthly Price Changes",
"page": 453
},
{
"level": 3,
"title": "Removing the Trend with First Differences",
"page": 458
},
{
"level": 3,
"title": "Effects of a Few Volatile Years",
"page": 460
},
{
"level": 3,
"title": "Method of Yearly Averages",
"page": 461
},
{
"level": 3,
"title": "The Method of Link Relatives",
"page": 464
},
{
"level": 3,
"title": "The Moving Average Method",
"page": 467
},
{
"level": 3,
"title": "X-11 and X-12 ARIMA Methods",
"page": 467
},
{
"level": 3,
"title": "Winter’s Method",
"page": 471
},
{
"level": 3,
"title": "Changes in Seasonal Patterns",
"page": 472
},
{
"level": 3,
"title": "Seasonal Volatility",
"page": 473
},
{
"level": 3,
"title": "Weather Sensitivity",
"page": 474
},
{
"level": 3,
"title": "Measuring Weather Sensitivity",
"page": 475
},
{
"level": 2,
"title": "SEASONAL FILTERS",
"page": 476
},
{
"level": 3,
"title": "Years with Similar Characteristics",
"page": 479
},
{
"level": 3,
"title": "Seasonal and Nonseasonal Market Patterns",
"page": 480
},
{
"level": 3,
"title": "Seasonal Patterns in Stocks",
"page": 489
},
{
"level": 3,
"title": "Seasonality for Trading",
"page": 490
},
{
"level": 3,
"title": "Seasonal Studies and Key Dates",
"page": 491
},
{
"level": 2,
"title": "SEASONALITY AND THE STOCK MARKET",
"page": 498
},
{
"level": 3,
"title": "The Holiday Effect for Stocks",
"page": 499
},
{
"level": 3,
"title": "The Month-End Effect",
"page": 500
},
{
"level": 3,
"title": "The Hirsch Strategy",
"page": 500
},
{
"level": 3,
"title": "The January Effect",
"page": 501
},
{
"level": 3,
"title": "Risks of September and October",
"page": 503
},
{
"level": 2,
"title": "COMMON SENSE AND SEASONALITY",
"page": 503
},
{
"level": 3,
"title": "Being Too Specific about Targets",
"page": 504
},
{
"level": 1,
"title": "CHAPTER 11 Cycle Analysis",
"page": 505
},
{
"level": 2,
"title": "CYCLE BASICS",
"page": 505
},
{
"level": 3,
"title": "Observing the Cycle",
"page": 506
},
{
"level": 3,
"title": "Basic Cycle Identification",
"page": 507
},
{
"level": 3,
"title": "The Business Cycle",
"page": 510
},
{
"level": 3,
"title": "The Kondratieff Wave",
"page": 510
},
{
"level": 3,
"title": "Presidential Election Cycle",
"page": 512
},
{
"level": 2,
"title": "UNCOVERING THE CYCLE",
"page": 514
},
{
"level": 3,
"title": "Removing the Trend",
"page": 514
},
{
"level": 3,
"title": "Terminology",
"page": 516
},
{
"level": 3,
"title": "Trigonometric Price Analysis",
"page": 517
},
{
"level": 3,
"title": "2-Frequency Trigonometric Regression",
"page": 522
},
{
"level": 3,
"title": "Fourier Analysis: Complex Trigonometric Regression",
"page": 525
},
{
"level": 3,
"title": "Using Excel’s Fourier Analysis",
"page": 531
},
{
"level": 2,
"title": "MAXIMUM ENTROPY",
"page": 534
},
{
"level": 3,
"title": "Using the Phase Angle",
"page": 534
},
{
"level": 3,
"title": "Finding the Cycle Using the Hilbert Transform",
"page": 536
},
{
"level": 3,
"title": "The Fisher Transform",
"page": 538
},
{
"level": 2,
"title": "CYCLE CHANNEL INDEX",
"page": 540
},
{
"level": 2,
"title": "SHORT CYCLE INDICATOR",
"page": 541
},
{
"level": 2,
"title": "PHASING",
"page": 543
},
{
"level": 1,
"title": "CHAPTER 12 Volume, Open Interest, and Breadth",
"page": 547
},
{
"level": 2,
"title": "A SPECIAL CASE FOR FUTURES VOLUME",
"page": 547
},
{
"level": 3,
"title": "Tick Volume",
"page": 548
},
{
"level": 2,
"title": "VARIATIONS FROM THE NORMAL PATTERNS",
"page": 549
},
{
"level": 3,
"title": "The W Intraday Pattern",
"page": 549
},
{
"level": 3,
"title": "Variance in Volume",
"page": 549
},
{
"level": 3,
"title": "Volume Spikes",
"page": 550
},
{
"level": 3,
"title": "Drop in Volume",
"page": 550
},
{
"level": 2,
"title": "STANDARD INTERPRETATION",
"page": 551
},
{
"level": 3,
"title": "Volume and Open Interest",
"page": 552
},
{
"level": 3,
"title": "Exceptions",
"page": 553
},
{
"level": 3,
"title": "Richard Arms’ Equivolume",
"page": 554
},
{
"level": 3,
"title": "Herrick Payoff Index",
"page": 554
},
{
"level": 3,
"title": "Volume Is a Predictor of Volatility",
"page": 554
},
{
"level": 2,
"title": "VOLUME INDICATORS",
"page": 555
},
{
"level": 3,
"title": "Average Volume",
"page": 555
},
{
"level": 3,
"title": "Normalizing the Volume",
"page": 555
},
{
"level": 3,
"title": "Volume Momentum and Percentage Change",
"page": 555
},
{
"level": 3,
"title": "Force Index",
"page": 556
},
{
"level": 3,
"title": "Volume Oscillator",
"page": 556
},
{
"level": 3,
"title": "On-Balance Volume",
"page": 557
},
{
"level": 3,
"title": "Volume Accumulator",
"page": 560
},
{
"level": 3,
"title": "Accumulation Distribution",
"page": 561
},
{
"level": 3,
"title": "Intraday Intensity",
"page": 561
},
{
"level": 3,
"title": "Price and Volume Trend, the Positive Volume Index, and the Negative Volume Index",
"page": 561
},
{
"level": 3,
"title": "Aspray’s Demand Oscillator",
"page": 562
},
{
"level": 3,
"title": "Tick Volume Indicator",
"page": 563
},
{
"level": 3,
"title": "Volume-Weighted MACD",
"page": 563
},
{
"level": 3,
"title": "Variably Weighted Moving Average Using Volume",
"page": 564
},
{
"level": 3,
"title": "Substituting Open Interest for Volume Using Futures",
"page": 565
},
{
"level": 3,
"title": "VWAP",
"page": 566
},
{
"level": 2,
"title": "BREADTH INDICATORS",
"page": 566
},
{
"level": 3,
"title": "Separating Advancing from Declining Volume",
"page": 567
},
{
"level": 3,
"title": "Sibbett’s Demand Index",
"page": 568
},
{
"level": 3,
"title": "Bolton-Tremblay",
"page": 568
},
{
"level": 3,
"title": "Schultz",
"page": 568
},
{
"level": 3,
"title": "McClellan Oscillator",
"page": 569
},
{
"level": 3,
"title": "Upside/Downside Ratio",
"page": 570
},
{
"level": 3,
"title": "Arms Index (TRIN)",
"page": 570
},
{
"level": 3,
"title": "Thrust Oscillator",
"page": 570
},
{
"level": 3,
"title": "New Highs and Lows",
"page": 571
},
{
"level": 3,
"title": "Baskets of New Highs and Lows",
"page": 572
},
{
"level": 3,
"title": "Is One Volume or Breadth Indicator Better than Another?",
"page": 572
},
{
"level": 3,
"title": "Breadth as a Countertrend Indicator",
"page": 573
},
{
"level": 2,
"title": "INTERPRETING VOLUME AND BREADTH SYSTEMATICALLY",
"page": 574
},
{
"level": 3,
"title": "Identifying a Volume Spike",
"page": 574
},
{
"level": 3,
"title": "Moving Average Approaches",
"page": 576
},
{
"level": 3,
"title": "Advance-Decline System",
"page": 577
},
{
"level": 3,
"title": "Breadth as a Counter-Trend Indicator",
"page": 578
},
{
"level": 2,
"title": "AN INTEGRATED PROBABILITY MODEL",
"page": 578
},
{
"level": 2,
"title": "INTRADAY VOLUME PATTERNS",
"page": 579
},
{
"level": 3,
"title": "Time Stamps",
"page": 580
},
{
"level": 3,
"title": "Intraday Patterns",
"page": 580
},
{
"level": 3,
"title": "Relative Changes in Volume",
"page": 582
},
{
"level": 2,
"title": "FILTERING LOW VOLUME",
"page": 582
},
{
"level": 3,
"title": "Removing Low-Volume Periods",
"page": 583
},
{
"level": 3,
"title": "Removing Volume Associated with Small Price Moves",
"page": 583
},
{
"level": 2,
"title": "MARKET FACILITATION INDEX",
"page": 584
},
{
"level": 1,
"title": "CHAPTER 13 Spreads and Arbitrage",
"page": 585
},
{
"level": 2,
"title": "DYNAMICS OF FUTURES INTRAMARKET SPREADS",
"page": 586
},
{
"level": 2,
"title": "CARRYING CHARGES",
"page": 587
},
{
"level": 2,
"title": "SPREADS IN STOCKS",
"page": 589
},
{
"level": 3,
"title": "Globalization",
"page": 590
},
{
"level": 2,
"title": "SPREAD AND ARBITRAGE RELATIONSHIPS",
"page": 590
},
{
"level": 2,
"title": "RISK REDUCTION IN SPREADS",
"page": 591
},
{
"level": 2,
"title": "ARBITRAGE",
"page": 592
},
{
"level": 3,
"title": "Pricing of Futures Contracts",
"page": 592
},
{
"level": 3,
"title": "Interest Rate Parity",
"page": 594
},
{
"level": 3,
"title": "Program Trading",
"page": 596
},
{
"level": 3,
"title": "Merger Arbitrage",
"page": 599
},
{
"level": 3,
"title": "Single Stock Futures and the Underlying Stock",
"page": 600
},
{
"level": 3,
"title": "Intermarket Index Spreads",
"page": 601
},
{
"level": 3,
"title": "Pairs Trading",
"page": 603
},
{
"level": 3,
"title": "Stock and Futures Relationships",
"page": 606
},
{
"level": 3,
"title": "Product Spreads",
"page": 607
},
{
"level": 3,
"title": "Intercrop Spreads",
"page": 609
},
{
"level": 3,
"title": "Butterfly Spreads",
"page": 611
},
{
"level": 3,
"title": "The Yield Curve",
"page": 612
},
{
"level": 3,
"title": "Implied Interest Rates",
"page": 615
},
{
"level": 2,
"title": "THE CARRY TRADE",
"page": 616
},
{
"level": 3,
"title": "The Basic Carry Trade",
"page": 617
},
{
"level": 2,
"title": "CHANGING SPREAD RELATIONSHIPS",
"page": 620
},
{
"level": 3,
"title": "Gold/Silver and Platinum/Gold Ratios",
"page": 620
},
{
"level": 2,
"title": "INTERMARKET SPREADS",
"page": 622
},
{
"level": 3,
"title": "Increased Spread Risk",
"page": 624
},
{
"level": 3,
"title": "Creating New Markets to Trade",
"page": 624
},
{
"level": 3,
"title": "Trending or Mean Reverting?",
"page": 628
},
{
"level": 3,
"title": "Timing the Relative-Value Trade",
"page": 632
},
{
"level": 3,
"title": "Rating Services",
"page": 632
},
{
"level": 3,
"title": "Generalized Market Neutral Strategies",
"page": 633
},
{
"level": 3,
"title": "Other Spread Issues",
"page": 634
},
{
"level": 1,
"title": "CHAPTER 14 Behavioral Techniques",
"page": 637
},
{
"level": 2,
"title": "MEASURING THE NEWS",
"page": 638
},
{
"level": 3,
"title": "Ranking and Measuring",
"page": 640
},
{
"level": 3,
"title": "Trading on the News",
"page": 641
},
{
"level": 3,
"title": "Market Selectivity",
"page": 642
},
{
"level": 3,
"title": "Media Indicators",
"page": 642
},
{
"level": 2,
"title": "EVENT TRADING",
"page": 643
},
{
"level": 3,
"title": "Market Reactions to Reports",
"page": 644
},
{
"level": 3,
"title": "Measuring an Event",
"page": 646
},
{
"level": 3,
"title": "Trading the Event Lag",
"page": 646
},
{
"level": 3,
"title": "Results of Event Studies",
"page": 647
},
{
"level": 3,
"title": "Raschke Trades the News",
"page": 650
},
{
"level": 3,
"title": "Finding Recent Patterns",
"page": 650
},
{
"level": 3,
"title": "Conditional Analysis of Shocks",
"page": 654
},
{
"level": 2,
"title": "COMMITMENT OF TRADERS REPORT",
"page": 655
},
{
"level": 3,
"title": "Creating an Oscillator for the COT Numbers",
"page": 659
},
{
"level": 2,
"title": "OPINION AND CONTRARY OPINION",
"page": 661
},
{
"level": 3,
"title": "Contrary Opinion",
"page": 661
},
{
"level": 3,
"title": "Commitment of Traders Sentiment Index",
"page": 665
},
{
"level": 3,
"title": "A Lesson from Put-Call Ratios",
"page": 666
},
{
"level": 3,
"title": "Dogs of the Dow and the Small Dogs",
"page": 666
},
{
"level": 3,
"title": "Watching the Big Block Transactions",
"page": 667
},
{
"level": 2,
"title": "FIBONACCI AND HUMAN BEHAVIOR",
"page": 668
},
{
"level": 3,
"title": "Application of Fibonacci Ratios",
"page": 671
},
{
"level": 2,
"title": "ELLIOTT’S WAVE PRINCIPLE",
"page": 671
},
{
"level": 3,
"title": "Elliott’s Sideways Markets",
"page": 674
},
{
"level": 3,
"title": "Fitting the Market to the Patterns",
"page": 674
},
{
"level": 3,
"title": "Elliott’s Use of the Fibonacci Series",
"page": 674
},
{
"level": 3,
"title": "Trading Elliott",
"page": 676
},
{
"level": 3,
"title": "The Super Cycle",
"page": 676
},
{
"level": 3,
"title": "Automating Elliott’s Wave Analysis",
"page": 678
},
{
"level": 3,
"title": "A Comment on Elliott Wave Theory",
"page": 679
},
{
"level": 2,
"title": "PRICE TARGET CONSTRUCTIONS USING THE FIBONACCI RATIO",
"page": 680
},
{
"level": 3,
"title": "Alternate Arc Measurement",
"page": 682
},
{
"level": 2,
"title": "FISCHER’S GOLDEN SECTION COMPASS SYSTEM",
"page": 682
},
{
"level": 3,
"title": "Price Goals",
"page": 684
},
{
"level": 3,
"title": "Filtering Highs and Lows",
"page": 685
},
{
"level": 2,
"title": "W. D. GANN—TIME AND SPACE",
"page": 686
},
{
"level": 3,
"title": "Time and Price",
"page": 686
},
{
"level": 3,
"title": "Geometric Angles",
"page": 687
},
{
"level": 3,
"title": "The Hexagon Chart",
"page": 689
},
{
"level": 3,
"title": "Gann Software",
"page": 691
},
{
"level": 2,
"title": "FINANCIAL ASTROLOGY",
"page": 691
},
{
"level": 3,
"title": "The Jupiter-Saturn Cycle",
"page": 692
},
{
"level": 3,
"title": "Major Physical Events",
"page": 694
},
{
"level": 3,
"title": "The Moon: Buy Full, Sell New",
"page": 697
},
{
"level": 3,
"title": "Calculation of a New Moon, Full Moon, Solar and Lunar Eclipse",
"page": 697
},
{
"level": 3,
"title": "Example: Solar Eclipse of May 21, 1993",
"page": 702
},
{
"level": 1,
"title": "CHAPTER 15 Pattern Recognition",
"page": 705
},
{
"level": 2,
"title": "PROJECTING DAILY HIGHS AND LOWS",
"page": 707
},
{
"level": 3,
"title": "Pivot Points",
"page": 707
},
{
"level": 3,
"title": "DeMark’s Projected Ranges",
"page": 708
},
{
"level": 3,
"title": "Comparing the Two Ranges",
"page": 708
},
{
"level": 2,
"title": "TIME OF DAY",
"page": 709
},
{
"level": 3,
"title": "Trading Habits Form Lasting Patterns",
"page": 709
},
{
"level": 3,
"title": "Tubbs’ Intraday Patterns",
"page": 710
},
{
"level": 3,
"title": "Merrill’s Intraday Patterns",
"page": 711
},
{
"level": 3,
"title": "Updating Intraday Time Patterns, 2000–2011",
"page": 711
},
{
"level": 3,
"title": "Intraday Highs and Lows",
"page": 716
},
{
"level": 2,
"title": "OPENING GAPS",
"page": 719
},
{
"level": 3,
"title": "Gaps in Futures Markets",
"page": 720
},
{
"level": 3,
"title": "Do Individual Stocks Show Unique Gap Patterns?",
"page": 727
},
{
"level": 3,
"title": "A Simple Gap Trading Method for Stocks",
"page": 727
},
{
"level": 2,
"title": "WEEKDAY, WEEKEND, AND REVERSAL PATTERNS",
"page": 731
},
{
"level": 3,
"title": "Weekday Patterns",
"page": 731
},
{
"level": 3,
"title": "emini S&P",
"page": 733
},
{
"level": 3,
"title": "Bank of America and Intel",
"page": 733
},
{
"level": 3,
"title": "Weekend Patterns",
"page": 743
},
{
"level": 3,
"title": "Combining Weekend and Weekday Patterns",
"page": 745
},
{
"level": 3,
"title": "A Comment on Testing and Holidays",
"page": 745
},
{
"level": 3,
"title": "Day of the Month",
"page": 746
},
{
"level": 3,
"title": "Days-of-the-Month Summary",
"page": 749
},
{
"level": 3,
"title": "Reversal Patterns",
"page": 749
},
{
"level": 2,
"title": "COMPUTER-BASED PATTERN RECOGNITION",
"page": 752
},
{
"level": 3,
"title": "Repeated Patterns",
"page": 754
},
{
"level": 2,
"title": "ARTIFICIAL INTELLIGENCE METHODS",
"page": 755
},
{
"level": 1,
"title": "CHAPTER 16 Day Trading",
"page": 757
},
{
"level": 2,
"title": "IMPACT OF TRANSACTION COSTS",
"page": 758
},
{
"level": 3,
"title": "Costs and Volatility",
"page": 758
},
{
"level": 3,
"title": "Costs and Trading Strategy",
"page": 760
},
{
"level": 3,
"title": "Liquidity",
"page": 761
},
{
"level": 3,
"title": "Estimating Slippage Costs",
"page": 763
},
{
"level": 3,
"title": "Volatility-Adjusted Slippage",
"page": 764
},
{
"level": 2,
"title": "KEY ELEMENTS OF DAY TRADING",
"page": 764
},
{
"level": 3,
"title": "Migration of Trading Techniques",
"page": 765
},
{
"level": 3,
"title": "Point-and-Figure for Short-Term Trading",
"page": 765
},
{
"level": 3,
"title": "Moving Averages",
"page": 766
},
{
"level": 3,
"title": "Choosing the Intraday Bar Size",
"page": 767
},
{
"level": 3,
"title": "Time-of-Day Patterns",
"page": 768
},
{
"level": 3,
"title": "Trading in the Wrong Time Zone",
"page": 769
},
{
"level": 2,
"title": "TRADING USING PRICE PATTERNS",
"page": 773
},
{
"level": 3,
"title": "Variations on Support and Resistance",
"page": 773
},
{
"level": 3,
"title": "The Taylor Trading Technique",
"page": 775
},
{
"level": 2,
"title": "INTRADAY BREAKOUT SYSTEMS",
"page": 779
},
{
"level": 3,
"title": "Opening Range Breakout",
"page": 779
},
{
"level": 3,
"title": "Fading the Opening Range",
"page": 792
},
{
"level": 2,
"title": "INTRADAY VOLUME PATTERNS",
"page": 794
},
{
"level": 2,
"title": "INTRADAY PRICE SHOCKS",
"page": 795
},
{
"level": 1,
"title": "CHAPTER 17 Adaptive Techniques",
"page": 799
},
{
"level": 2,
"title": "ADAPTIVE TREND CALCULATIONS",
"page": 799
},
{
"level": 3,
"title": "Kaufman’s Adaptive Moving Average",
"page": 799
},
{
"level": 3,
"title": "Chande’s Variable Index Dynamic Average (VIDYA)",
"page": 804
},
{
"level": 3,
"title": "MESA Adaptive Moving Average",
"page": 806
},
{
"level": 3,
"title": "Comparison of Adaptive Methods",
"page": 806
},
{
"level": 2,
"title": "ADAPTIVE VARIATIONS",
"page": 808
},
{
"level": 3,
"title": "Making Momentum Calculations Adaptive",
"page": 808
},
{
"level": 3,
"title": "McGinley Dynamics",
"page": 810
},
{
"level": 3,
"title": "The Parabolic Time/Price System",
"page": 810
},
{
"level": 3,
"title": "The Master Trading Formula",
"page": 812
},
{
"level": 2,
"title": "OTHER ADAPTIVE MOMENTUM CALCULATIONS",
"page": 813
},
{
"level": 3,
"title": "Trend-Adjusted Oscillator",
"page": 813
},
{
"level": 3,
"title": "Dynamic Momentum Index",
"page": 815
},
{
"level": 2,
"title": "ADAPTIVE INTRADAY BREAKOUT SYSTEM",
"page": 816
},
{
"level": 2,
"title": "AN ADAPTIVE PROCESS",
"page": 817
},
{
"level": 3,
"title": "A Development Example",
"page": 817
},
{
"level": 2,
"title": "CONSIDERING ADAPTIVE METHODS",
"page": 818
},
{
"level": 1,
"title": "CHAPTER 18 Price Distribution Systems",
"page": 821
},
{
"level": 2,
"title": "MEASURING DISTRIBUTION",
"page": 821
},
{
"level": 3,
"title": "Standard Deviation Bands",
"page": 822
},
{
"level": 3,
"title": "Avoiding the Lag Problem",
"page": 823
},
{
"level": 2,
"title": "USE OF PRICE DISTRIBUTIONS AND PATTERNSTO ANTICIPATE MOVES",
"page": 825
},
{
"level": 3,
"title": "Analysis of Zones",
"page": 825
},
{
"level": 3,
"title": "Zones for Forecasting Range and Controlling Risk",
"page": 827
},
{
"level": 3,
"title": "Zones Based on Daily Price Levels",
"page": 828
},
{
"level": 2,
"title": "DISTRIBUTION OF PRICES",
"page": 831
},
{
"level": 3,
"title": "Long-Term Price Distributions",
"page": 831
},
{
"level": 3,
"title": "Short-Term Distributions",
"page": 836
},
{
"level": 3,
"title": "Identifying Potential Price Moves",
"page": 838
},
{
"level": 3,
"title": "Using Skewness to Identify a Trend",
"page": 838
},
{
"level": 3,
"title": "Trading Using Kurtosis and Skew",
"page": 839
},
{
"level": 2,
"title": "STEIDLMAYER’S MARKET PROFILE",
"page": 842
},
{
"level": 3,
"title": "Construction of Market Profile",
"page": 844
},
{
"level": 3,
"title": "Time/Price Opportunities",
"page": 845
},
{
"level": 3,
"title": "Typical Patterns",
"page": 846
},
{
"level": 3,
"title": "What Are the Buyers and Sellers Doing?",
"page": 847
},
{
"level": 3,
"title": "Quantifying the Value Area",
"page": 848
},
{
"level": 3,
"title": "Trending Markets",
"page": 848
},
{
"level": 3,
"title": "Some Points to Remember about Market Profile",
"page": 850
},
{
"level": 3,
"title": "Other Trading Platforms",
"page": 850
},
{
"level": 2,
"title": "USING DAILY DISTRIBUTIONS TO IDENTIFY SUPPORT AND RESISTANCE",
"page": 850
},
{
"level": 1,
"title": "CHAPTER 19 Multiple Time Frames",
"page": 853
},
{
"level": 2,
"title": "TUNING TWO TIME FRAMES TO WORK TOGETHER",
"page": 853
},
{
"level": 2,
"title": "ELDER’S TRIPLE-SCREEN TRADING SYSTEM",
"page": 855
},
{
"level": 3,
"title": "Screen 1: The Major Move (Lowest Frequency Data)",
"page": 856
},
{
"level": 3,
"title": "Screen 2: The Intermediate Move (Middle Frequency Data)",
"page": 856
},
{
"level": 3,
"title": "Screen 3: Timing (High Frequency Data)",
"page": 857
},
{
"level": 3,
"title": "Stop-Loss",
"page": 858
},
{
"level": 2,
"title": "ROBERT KRAUSZ’S MULTIPLE TIME FRAMES",
"page": 858
},
{
"level": 3,
"title": "Laws of Multiple Time Frames",
"page": 859
},
{
"level": 3,
"title": "More on Selecting the Three Time Frames",
"page": 861
},
{
"level": 2,
"title": "MARTIN PRING’S KST SYSTEM",
"page": 862
},
{
"level": 3,
"title": "Creating a Composite Indicator",
"page": 863
},
{
"level": 1,
"title": "CHAPTER 20 Advanced Techniques",
"page": 865
},
{
"level": 2,
"title": "MEASURING VOLATILITY",
"page": 865
},
{
"level": 3,
"title": "The Price-Volatility Relationship",
"page": 866
},
{
"level": 3,
"title": "Adjusting for a Base Price",
"page": 867
},
{
"level": 3,
"title": "Exceptions",
"page": 867
},
{
"level": 3,
"title": "Determining the Base Price",
"page": 867
},
{
"level": 3,
"title": "The Time Interval",
"page": 869
},
{
"level": 3,
"title": "Volatility Measures",
"page": 870
},
{
"level": 3,
"title": "Ratio Measurements",
"page": 873
},
{
"level": 3,
"title": "Relative Volatility",
"page": 874
},
{
"level": 3,
"title": "Implied Volatility, VIX",
"page": 875
},
{
"level": 2,
"title": "USING VOLATILITY FOR TRADING",
"page": 876
},
{
"level": 3,
"title": "Intraday Volatility and Volume",
"page": 876
},
{
"level": 3,
"title": "Predicting Volatility with Trading Ranges",
"page": 877
},
{
"level": 3,
"title": "Thomas Bierovic—On-Balance True Range",
"page": 878
},
{
"level": 3,
"title": "VIX Trading Systems",
"page": 878
},
{
"level": 3,
"title": "Volatility System",
"page": 880
},
{
"level": 3,
"title": "Profit Targets and Stop-Loss Orders",
"page": 881
},
{
"level": 2,
"title": "TRADE SELECTION USING VOLATILITY",
"page": 881
},
{
"level": 3,
"title": "Eliminate or Delay?",
"page": 882
},
{
"level": 3,
"title": "Trade Selection Summary",
"page": 886
},
{
"level": 2,
"title": "LIQUIDITY",
"page": 887
},
{
"level": 2,
"title": "TRENDS AND PRICE NOISE",
"page": 888
},
{
"level": 2,
"title": "TRENDS AND INTEREST RATE CARRY",
"page": 891
},
{
"level": 2,
"title": "EXPERT SYSTEMS",
"page": 891
},
{
"level": 3,
"title": "Forward Chaining",
"page": 893
},
{
"level": 3,
"title": "A Technical Expert System",
"page": 893
},
{
"level": 2,
"title": "FUZZY LOGIC",
"page": 895
},
{
"level": 3,
"title": "Fuzzy Reasoning",
"page": 896
},
{
"level": 3,
"title": "Common Approach to Fuzzy Solutions",
"page": 896
},
{
"level": 3,
"title": "A Candlestick Example",
"page": 898
},
{
"level": 2,
"title": "FRACTALS, CHAOS, AND ENTROPY",
"page": 900
},
{
"level": 3,
"title": "Fractal Dimension",
"page": 900
},
{
"level": 3,
"title": "Using Fractal Efficiency",
"page": 901
},
{
"level": 3,
"title": "Chaotic Patterns and Market Behavior",
"page": 902
},
{
"level": 3,
"title": "Entropy—Predicting by Similar Situations",
"page": 903
},
{
"level": 2,
"title": "NEURAL NETWORKS",
"page": 906
},
{
"level": 3,
"title": "Terminology of Neural Networks",
"page": 906
},
{
"level": 3,
"title": "Artificial Neural Networks",
"page": 907
},
{
"level": 3,
"title": "Selecting and Preprocessing the Inputs",
"page": 910
},
{
"level": 3,
"title": "Selecting the Success Criteria",
"page": 910
},
{
"level": 3,
"title": "The Training Process",
"page": 911
},
{
"level": 3,
"title": "A Training Example",
"page": 911
},
{
"level": 3,
"title": "Success Criteria",
"page": 913
},
{
"level": 3,
"title": "Reducing the Number of Decision Levels and Neurons",
"page": 914
},
{
"level": 3,
"title": "Modeling Human Behavior",
"page": 914
},
{
"level": 3,
"title": "A Final Comment about Neural Networks",
"page": 915
},
{
"level": 2,
"title": "GENETIC ALGORITHMS",
"page": 915
},
{
"level": 3,
"title": "Representation of a Genetic Algorithm",
"page": 916
},
{
"level": 3,
"title": "Initial Chromosome Pool",
"page": 917
},
{
"level": 3,
"title": "Fitness",
"page": 918
},
{
"level": 3,
"title": "Propagation",
"page": 919
},
{
"level": 3,
"title": "Mating",
"page": 920
},
{
"level": 3,
"title": "Mutation",
"page": 920
},
{
"level": 3,
"title": "Converging on a Solution",
"page": 921
},
{
"level": 3,
"title": "Putting It into Practice: Simulated Performance",
"page": 921
},
{
"level": 3,
"title": "Multiple Seeding",
"page": 922
},
{
"level": 2,
"title": "REPLICATION OF HEDGE FUNDS",
"page": 922
},
{
"level": 1,
"title": "CHAPTER 21 System Testing",
"page": 925
},
{
"level": 2,
"title": "EXPECTATIONS",
"page": 927
},
{
"level": 3,
"title": "Setting Your Objective and Measuring Success",
"page": 927
},
{
"level": 2,
"title": "IDENTIFYING THE PARAMETERS",
"page": 928
},
{
"level": 3,
"title": "Range of Parameter Settings",
"page": 928
},
{
"level": 3,
"title": "Distribution of Values to Be Tested",
"page": 929
},
{
"level": 3,
"title": "Types of Test Variables",
"page": 930
},
{
"level": 2,
"title": "SELECTING THE TEST DATA",
"page": 930
},
{
"level": 3,
"title": "Cash Data",
"page": 933
},
{
"level": 3,
"title": "Problems with Adjusted Data Series",
"page": 934
},
{
"level": 3,
"title": "Which Data Series Is Best?",
"page": 934
},
{
"level": 3,
"title": "Synthetic Data",
"page": 935
},
{
"level": 2,
"title": "TESTING INTEGRITY",
"page": 936
},
{
"level": 3,
"title": "In-Sample and Out-of-Sample Data",
"page": 936
},
{
"level": 3,
"title": "Out-of-Sample Testing",
"page": 937
},
{
"level": 3,
"title": "Step-Forward Testing",
"page": 938
},
{
"level": 2,
"title": "SEARCHING FOR THE BEST RESULT",
"page": 939
},
{
"level": 3,
"title": "Mathematical Optimization",
"page": 940
},
{
"level": 3,
"title": "More on Test Continuity",
"page": 941
},
{
"level": 2,
"title": "VISUALIZING AND INTERPRETING TEST RESULTS",
"page": 942
},
{
"level": 3,
"title": "Seeing Continuity in Test Results",
"page": 944
},
{
"level": 3,
"title": "Two-Parameter Tests",
"page": 945
},
{
"level": 3,
"title": "Alternate Ways of Visualizing Results",
"page": 948
},
{
"level": 3,
"title": "Standardizing Test Results",
"page": 950
},
{
"level": 2,
"title": "LARGE-SCALE TESTING",
"page": 952
},
{
"level": 3,
"title": "Genetic Algorithms",
"page": 952
},
{
"level": 3,
"title": "Monte Carlo Sampling",
"page": 955
},
{
"level": 2,
"title": "REFINING THE STRATEGY RULES",
"page": 957
},
{
"level": 2,
"title": "ARRIVING AT VALID TEST RESULTS",
"page": 958
},
{
"level": 3,
"title": "Common Sense versus Statistics",
"page": 958
},
{
"level": 3,
"title": "Searching for Robustness",
"page": 959
},
{
"level": 3,
"title": "Performance Criteria",
"page": 960
},
{
"level": 3,
"title": "Sensitivity Testing",
"page": 963
},
{
"level": 3,
"title": "Reading between the Lines",
"page": 964
},
{
"level": 3,
"title": "The Signifi cance of “Signifi cant”",
"page": 965
},
{
"level": 3,
"title": "Systems That Work in Only One Market",
"page": 965
},
{
"level": 2,
"title": "COMPARING THE RESULTS OF TWO SYSTEMS",
"page": 966
},
{
"level": 3,
"title": "Which System Is Better?",
"page": 966
},
{
"level": 2,
"title": "PROFITING FROM THE WORST RESULTS",
"page": 970
},
{
"level": 2,
"title": "RETESTING FOR CHANGING PARAMETERS",
"page": 971
},
{
"level": 2,
"title": "TESTING ACROSS A WIDE RANGE OF MARKETS",
"page": 974
},
{
"level": 3,
"title": "Classic Tests by Davis and Thiel, Maxwell, and Hochheimer",
"page": 974
},
{
"level": 3,
"title": "Davis and Thiel",
"page": 974
},
{
"level": 3,
"title": "Maxwell",
"page": 975
},
{
"level": 3,
"title": "Comparing Methods of Calculation across Selected Markets",
"page": 976
},
{
"level": 3,
"title": "Comparing the Five Strategies",
"page": 983
},
{
"level": 3,
"title": "Crossover Strategy",
"page": 984
},
{
"level": 3,
"title": "More on Comparing Strategies and Markets",
"page": 987
},
{
"level": 2,
"title": "PRICE SHOCKS",
"page": 990
},
{
"level": 3,
"title": "Misinterpreting the Past",
"page": 990
},
{
"level": 2,
"title": "ANATOMY OF AN OPTIMIZATION",
"page": 992
},
{
"level": 2,
"title": "SUMMARIZING ROBUSTNESS",
"page": 996
},
{
"level": 3,
"title": "A Final Comment on Testing",
"page": 1001
},
{
"level": 1,
"title": "CHAPTER 22 Practical Considerations",
"page": 1003
},
{
"level": 2,
"title": "USE AND ABUSE OF THE COMPUTER",
"page": 1004
},
{
"level": 3,
"title": "Acquiring Data",
"page": 1005
},
{
"level": 3,
"title": "Combining Standard Techniques into a System",
"page": 1006
},
{
"level": 3,
"title": "Programming a New Idea",
"page": 1007
},
{
"level": 3,
"title": "Too Much Power",
"page": 1007
},
{
"level": 3,
"title": "Looking into the Past",
"page": 1008
},
{
"level": 3,
"title": "Paper Trading",
"page": 1008
},
{
"level": 3,
"title": "It Should Work, but It Doesn’t",
"page": 1008
},
{
"level": 3,
"title": "Vertical or Integrated Solutions",
"page": 1009
},
{
"level": 3,
"title": "Taking Control",
"page": 1012
},
{
"level": 2,
"title": "EXTREME EVENTS",
"page": 1012
},
{
"level": 3,
"title": "Money Moves the Markets",
"page": 1012
},
{
"level": 3,
"title": "Fooling Yourself with Hindsight",
"page": 1013
},
{
"level": 3,
"title": "Identifying Price Shocks",
"page": 1017
},
{
"level": 3,
"title": "Crisis Management",
"page": 1017
},
{
"level": 2,
"title": "GAMBLING TECHNIQUES—THE THEORY OF RUNS",
"page": 1020
},
{
"level": 3,
"title": "Martingales and Anti-Martingales",
"page": 1021
},
{
"level": 3,
"title": "Anti-Martingales",
"page": 1023
},
{
"level": 3,
"title": "The Theory of Runs Applied to Trading",
"page": 1024
},
{
"level": 3,
"title": "Fractional Martingales",
"page": 1030
},
{
"level": 2,
"title": "SELECTIVE TRADING",
"page": 1031
},
{
"level": 3,
"title": "Filtering Out the Losing Trades",
"page": 1031
},
{
"level": 2,
"title": "SYSTEM TRADE-OFFS",
"page": 1032
},
{
"level": 3,
"title": "Trend-Following Systems",
"page": 1032
},
{
"level": 3,
"title": "Mean-Reverting Systems",
"page": 1033
},
{
"level": 3,
"title": "Trade-Offs",
"page": 1034
},
{
"level": 3,
"title": "The Commodex Method of Combining Elements",
"page": 1035
},
{
"level": 3,
"title": "Combining Trends and Trading Ranges",
"page": 1036
},
{
"level": 2,
"title": "TRADING LIMITS AND DISCONNECTED MARKETS",
"page": 1038
},
{
"level": 3,
"title": "Effects of Limits on Trading Systems",
"page": 1038
},
{
"level": 3,
"title": "Similar to Price Shocks",
"page": 1040
},
{
"level": 2,
"title": "SILVER AND NASDAQ—TOO GOOD TO BE TRUE",
"page": 1040
},
{
"level": 2,
"title": "SIMILARITY OF SYSTEMATIC TRADING SIGNALS",
"page": 1041
},
{
"level": 3,
"title": "Comparison of Moving Average Systems",
"page": 1043
},
{
"level": 3,
"title": "Similarity of Long-Term Performance",
"page": 1045
},
{
"level": 3,
"title": "High Correlation at the Best and Worst Times",
"page": 1046
},
{
"level": 1,
"title": "CHAPTER 23 Risk Control",
"page": 1047
},
{
"level": 2,
"title": "MISTAKING LUCK FOR SKILL",
"page": 1047
},
{
"level": 2,
"title": "RISK AVERSION",
"page": 1048
},
{
"level": 3,
"title": "Risk Preference",
"page": 1050
},
{
"level": 3,
"title": "The Efficient Frontier",
"page": 1050
},
{
"level": 3,
"title": "Common Sense Management of Risk",
"page": 1052
},
{
"level": 2,
"title": "LIQUIDITY",
"page": 1053
},
{
"level": 2,
"title": "MEASURING RETURN AND RISK",
"page": 1054
},
{
"level": 3,
"title": "Risk Characteristics of a Trading Model",
"page": 1054
},
{
"level": 3,
"title": "The Sharpe Ratio and Information Ratio",
"page": 1055
},
{
"level": 3,
"title": "Average Maximum Retracement",
"page": 1056
},
{
"level": 3,
"title": "Largest Loss and the Calmar Ratio",
"page": 1057
},
{
"level": 3,
"title": "Sortino Ratio",
"page": 1058
},
{
"level": 3,
"title": "Ulcer Index",
"page": 1058
},
{
"level": 3,
"title": "Potential Risk",
"page": 1059
},
{
"level": 3,
"title": "Risk Characteristics of Systems",
"page": 1065
},
{
"level": 3,
"title": "It’s Not the Markets, It’s the Money",
"page": 1066
},
{
"level": 2,
"title": "LEVERAGE",
"page": 1066
},
{
"level": 3,
"title": "Reserves and Targeted Risk Levels",
"page": 1068
},
{
"level": 2,
"title": "LEVERAGE BASED ON EXPOSURE",
"page": 1069
},
{
"level": 2,
"title": "INDIVIDUAL TRADE RISK",
"page": 1070
},
{
"level": 3,
"title": "Position Sizing",
"page": 1070
},
{
"level": 3,
"title": "Initial Position Risk",
"page": 1074
},
{
"level": 3,
"title": "Stop-Losses",
"page": 1074
},
{
"level": 2,
"title": "KAUFMAN ON STOPS AND PROFIT-TAKING",
"page": 1079
},
{
"level": 3,
"title": "Managing Risk without Stops",
"page": 1081
},
{
"level": 2,
"title": "RANKING OF MARKETS FOR SELECTION",
"page": 1082
},
{
"level": 3,
"title": "Commodity Selection Index",
"page": 1083
},
{
"level": 3,
"title": "Directional Movement",
"page": 1083
},
{
"level": 3,
"title": "Retesting Directional Movement",
"page": 1087
},
{
"level": 3,
"title": "Ranking Trends Using Prices",
"page": 1089
},
{
"level": 3,
"title": "Kaufman’s Strategy Selection Indicator",
"page": 1090
},
{
"level": 2,
"title": "PROBABILITY OF SUCCESS AND RUIN",
"page": 1092
},
{
"level": 3,
"title": "Wins Not Equal to Losses",
"page": 1093
},
{
"level": 2,
"title": "ENTERING A POSITION",
"page": 1096
},
{
"level": 3,
"title": "Averaging into a Position",
"page": 1096
},
{
"level": 3,
"title": "Waiting for a Better Price",
"page": 1098
},
{
"level": 3,
"title": "Using Timing for a Better Price",
"page": 1100
},
{
"level": 2,
"title": "COMPOUNDING A POSITION",
"page": 1100
},
{
"level": 3,
"title": "Adding on Profits",
"page": 1102
},
{
"level": 3,
"title": "Averaging Down",
"page": 1104
},
{
"level": 2,
"title": "EQUITY TRENDS",
"page": 1105
},
{
"level": 3,
"title": "Trading on Equity Trends",
"page": 1106
},
{
"level": 2,
"title": "INVESTING AND REINVESTING: OPTIMAL f",
"page": 1108
},
{
"level": 3,
"title": "Risk Assessment",
"page": 1108
},
{
"level": 3,
"title": "Finding Optimal f",
"page": 1109
},
{
"level": 3,
"title": "Observations of Optimal f",
"page": 1111
},
{
"level": 2,
"title": "COMPARING EXPECTED AND ACTUAL RESULTS",
"page": 1112
},
{
"level": 3,
"title": "Binomial Probability",
"page": 1112
},
{
"level": 3,
"title": "χ2—Chi-Square Test",
"page": 1114
},
{
"level": 1,
"title": "CHAPTER 24 Diversification and Portfolio Allocation",
"page": 1119
},
{
"level": 2,
"title": "DIVERSIFICATION",
"page": 1120
},
{
"level": 3,
"title": "Selecting Individual Assets from Unrelated Groups",
"page": 1121
},
{
"level": 2,
"title": "CHANGING CORRELATIONS",
"page": 1125
},
{
"level": 2,
"title": "TYPES OF PORTFOLIO MODELS",
"page": 1125
},
{
"level": 3,
"title": "Equal-Dollar Weighting",
"page": 1127
},
{
"level": 3,
"title": "Equal-Risk Weighting",
"page": 1127
},
{
"level": 3,
"title": "Alpha-Driven Weighting",
"page": 1127
},
{
"level": 3,
"title": "Decision-Tree Models",
"page": 1127
},
{
"level": 2,
"title": "CLASSIC PORTFOLIO ALLOCATION CALCULATIONS",
"page": 1127
},
{
"level": 3,
"title": "Spreadsheet Approach",
"page": 1129
},
{
"level": 2,
"title": "FINDING OPTIMAL PORTFOLIO ALLOCATION USING EXCEL’S SOLVER",
"page": 1129
},
{
"level": 3,
"title": "Solver Settings",
"page": 1131
},
{
"level": 2,
"title": "KAUFMAN’S GENETIC ALGORITHM SOLUTION TO PORTFOLIO ALLOCATION (GASP)",
"page": 1134
},
{
"level": 3,
"title": "Modern Portfolio Theory",
"page": 1135
},
{
"level": 3,
"title": "A Special Case for Active Trading",
"page": 1135
},
{
"level": 3,
"title": "The Objective Function and Target Risk Level",
"page": 1137
},
{
"level": 3,
"title": "The Optimal Portfolio",
"page": 1139
},
{
"level": 3,
"title": "Portfolio Constraints",
"page": 1140
},
{
"level": 3,
"title": "Constraining Diversification",
"page": 1140
},
{
"level": 3,
"title": "The Genetic Algorithm Solution",
"page": 1141
},
{
"level": 3,
"title": "Initializing the Pool",
"page": 1142
},
{
"level": 3,
"title": "Evaluating Each String in the Pool",
"page": 1145
},
{
"level": 3,
"title": "Test for Completion",
"page": 1146
},
{
"level": 3,
"title": "Propagation",
"page": 1147
},
{
"level": 3,
"title": "Propagation of the Best Results",
"page": 1148
},
{
"level": 3,
"title": "Mating Parents to Create Offspring",
"page": 1149
},
{
"level": 3,
"title": "Mutating: Introducing New Genes into the Pool",
"page": 1151
},
{
"level": 3,
"title": "Continue with the Evaluation Step",
"page": 1151
},
{
"level": 3,
"title": "Optimal Subsets",
"page": 1151
},
{
"level": 3,
"title": "Is It the Best Portfolio?",
"page": 1153
},
{
"level": 3,
"title": "An Example of a GASP Solution",
"page": 1154
},
{
"level": 3,
"title": "Test Interval for Portfolio Allocation",
"page": 1161
},
{
"level": 3,
"title": "VOLATILITY STABILIZATION",
"page": 1162
},
{
"level": 3,
"title": "Switching Costs",
"page": 1164
},
{
"level": 3,
"title": "Capping Exposure",
"page": 1164
},
{
"level": 1,
"title": "APPENDIX 1 Statistical Tables",
"page": 1167
},
{
"level": 1,
"title": "APPENDIX 2 Matrix Solution to",
"page": 1171
},
{
"level": 1,
"title": "APPENDIX 3 Trigonometric",
"page": 1181
},
{
"level": 1,
"title": "Bibliography",
"page": 1195
},
{
"level": 1,
"title": "About the Companion Website",
"page": 1211
},
{
"level": 1,
"title": "Index",
"page": 1213
}
],
"category": "Trading",
"tags": [
"Trading Systems",
"Algorithms",
"Reference"
]
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{
"level": 1,
"title": "Preface",
"page": 7
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{
"level": 2,
"title": "Who This Book Is For",
"page": 8
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{
"level": 2,
"title": "What This Book Is Not",
"page": 10
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{
"level": 2,
"title": "Navigating This Book",
"page": 12
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{
"level": 2,
"title": "GitHub Repository and Community",
"page": 13
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{
"level": 2,
"title": "Conventions Used in This Book",
"page": 13
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{
"level": 2,
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"page": 14
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{
"level": 2,
"title": "O’Reilly Online Learning",
"page": 15
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{
"level": 2,
"title": "How to Contact Us",
"page": 15
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{
"level": 2,
"title": "Acknowledgments",
"page": 16
},
{
"level": 1,
"title": "1. Overview of Machine Learning Systems",
"page": 18
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{
"level": 2,
"title": "When to Use Machine Learning",
"page": 20
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{
"level": 3,
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"page": 28
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{
"level": 2,
"title": "Understanding Machine Learning Systems",
"page": 32
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{
"level": 3,
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"page": 32
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{
"level": 3,
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"page": 45
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{
"level": 2,
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{
"level": 1,
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"page": 50
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{
"level": 2,
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{
"level": 2,
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"page": 54
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{
"level": 3,
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"page": 55
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{
"level": 3,
"title": "Scalability",
"page": 55
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{
"level": 3,
"title": "Maintainability",
"page": 57
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{
"level": 3,
"title": "Adaptability",
"page": 57
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{
"level": 2,
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"page": 58
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{
"level": 2,
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"page": 62
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{
"level": 3,
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"page": 62
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{
"level": 3,
"title": "Objective Functions",
"page": 68
},
{
"level": 2,
"title": "Mind Versus Data",
"page": 71
},
{
"level": 2,
"title": "Summary",
"page": 75
},
{
"level": 1,
"title": "3. Data Engineering Fundamentals",
"page": 79
},
{
"level": 2,
"title": "Data Sources",
"page": 80
},
{
"level": 2,
"title": "Data Formats",
"page": 82
},
{
"level": 3,
"title": "JSON",
"page": 84
},
{
"level": 3,
"title": "Row-Major Versus Column-Major Format",
"page": 85
},
{
"level": 3,
"title": "Text Versus Binary Format",
"page": 87
},
{
"level": 2,
"title": "Data Models",
"page": 88
},
{
"level": 3,
"title": "Relational Model",
"page": 89
},
{
"level": 3,
"title": "NoSQL",
"page": 94
},
{
"level": 3,
"title": "Structured Versus Unstructured Data",
"page": 97
},
{
"level": 2,
"title": "Data Storage Engines and Processing",
"page": 100
},
{
"level": 3,
"title": "Transactional and Analytical Processing",
"page": 101
},
{
"level": 3,
"title": "ETL: Extract, Transform, and Load",
"page": 103
},
{
"level": 2,
"title": "Modes of Dataflow",
"page": 104
},
{
"level": 3,
"title": "Data Passing Through Databases",
"page": 104
},
{
"level": 3,
"title": "Data Passing Through Services",
"page": 105
},
{
"level": 3,
"title": "Data Passing Through Real-Time Transport",
"page": 106
},
{
"level": 2,
"title": "Batch Processing Versus Stream Processing",
"page": 109
},
{
"level": 2,
"title": "Summary",
"page": 110
},
{
"level": 1,
"title": "4. Training Data",
"page": 114
},
{
"level": 2,
"title": "Sampling",
"page": 114
},
{
"level": 3,
"title": "Nonprobability Sampling",
"page": 115
},
{
"level": 3,
"title": "Simple Random Sampling",
"page": 116
},
{
"level": 3,
"title": "Stratified Sampling",
"page": 116
},
{
"level": 3,
"title": "Weighted Sampling",
"page": 116
},
{
"level": 3,
"title": "Reservoir Sampling",
"page": 117
},
{
"level": 3,
"title": "Importance Sampling",
"page": 117
},
{
"level": 2,
"title": "Labeling",
"page": 118
},
{
"level": 3,
"title": "Hand Labels",
"page": 118
},
{
"level": 3,
"title": "Natural Labels",
"page": 121
},
{
"level": 3,
"title": "Handling the Lack of Labels",
"page": 124
},
{
"level": 2,
"title": "Class Imbalance",
"page": 132
},
{
"level": 3,
"title": "Challenges of Class Imbalance",
"page": 132
},
{
"level": 3,
"title": "Handling Class Imbalance",
"page": 134
},
{
"level": 2,
"title": "Data Augmentation",
"page": 148
},
{
"level": 3,
"title": "Simple Label-Preserving Transformations",
"page": 149
},
{
"level": 3,
"title": "Perturbation",
"page": 151
},
{
"level": 3,
"title": "Data Synthesis",
"page": 152
},
{
"level": 2,
"title": "Summary",
"page": 154
},
{
"level": 1,
"title": "5. Feature Engineering",
"page": 157
},
{
"level": 2,
"title": "Learned Features Versus Engineered Features",
"page": 157
},
{
"level": 2,
"title": "Common Feature Engineering Operations",
"page": 160
},
{
"level": 3,
"title": "Handling Missing Values",
"page": 161
},
{
"level": 3,
"title": "Scaling",
"page": 164
},
{
"level": 3,
"title": "Discretization",
"page": 165
},
{
"level": 3,
"title": "Encoding Categorical Features",
"page": 166
},
{
"level": 3,
"title": "Feature Crossing",
"page": 168
},
{
"level": 3,
"title": "Discrete and Continuous Positional Embeddings",
"page": 170
},
{
"level": 2,
"title": "Data Leakage",
"page": 172
},
{
"level": 3,
"title": "Common Causes for Data Leakage",
"page": 173
},
{
"level": 3,
"title": "Detecting Data Leakage",
"page": 174
},
{
"level": 2,
"title": "Engineering Good Features",
"page": 175
},
{
"level": 3,
"title": "Feature Importance",
"page": 175
},
{
"level": 3,
"title": "Feature Generalization",
"page": 177
},
{
"level": 2,
"title": "Summary",
"page": 178
},
{
"level": 1,
"title": "6. Model Development and Offline Evaluation",
"page": 180
},
{
"level": 2,
"title": "Model Development and Training",
"page": 180
},
{
"level": 3,
"title": "Evaluating ML Models",
"page": 180
},
{
"level": 3,
"title": "Ensembles",
"page": 184
},
{
"level": 3,
"title": "Experiment Tracking and Versioning",
"page": 190
},
{
"level": 3,
"title": "Distributed Training",
"page": 194
},
{
"level": 3,
"title": "AutoML",
"page": 197
},
{
"level": 2,
"title": "Model Offline Evaluation",
"page": 201
},
{
"level": 3,
"title": "Baselines",
"page": 201
},
{
"level": 3,
"title": "Evaluation Methods",
"page": 205
},
{
"level": 2,
"title": "Summary",
"page": 214
},
{
"level": 1,
"title": "7. Model Deployment and Prediction Service",
"page": 217
},
{
"level": 2,
"title": "Machine Learning Deployment Myths",
"page": 221
},
{
"level": 3,
"title": "Myth 1: You Only Deploy One or Two ML Models at a Time",
"page": 221
},
{
"level": 3,
"title": "Myth 2: If We Don’t Do Anything, Model Performance Remains the Same",
"page": 222
},
{
"level": 3,
"title": "Myth 3: You Won’t Need to Update Your Models as Much",
"page": 223
},
{
"level": 3,
"title": "Myth 4: Most ML Engineers Don’t Need to Worry About Scale",
"page": 223
},
{
"level": 2,
"title": "Batch Prediction Versus Online Prediction",
"page": 224
},
{
"level": 3,
"title": "From Batch Prediction to Online Prediction",
"page": 231
},
{
"level": 3,
"title": "Unifying Batch Pipeline and Streaming Pipeline",
"page": 234
},
{
"level": 2,
"title": "Model Compression",
"page": 237
},
{
"level": 3,
"title": "Low-Rank Factorization",
"page": 238
},
{
"level": 3,
"title": "Knowledge Distillation",
"page": 240
},
{
"level": 3,
"title": "Pruning",
"page": 240
},
{
"level": 3,
"title": "Quantization",
"page": 241
},
{
"level": 2,
"title": "ML on the Cloud and on the Edge",
"page": 245
},
{
"level": 3,
"title": "Compiling and Optimizing Models for Edge Devices",
"page": 247
},
{
"level": 3,
"title": "ML in Browsers",
"page": 256
},
{
"level": 2,
"title": "Summary",
"page": 257
},
{
"level": 1,
"title": "8. Data Distribution Shifts and Monitoring",
"page": 264
},
{
"level": 2,
"title": "Causes of ML System Failures",
"page": 264
},
{
"level": 3,
"title": "Software System Failures",
"page": 265
},
{
"level": 3,
"title": "ML-Specific Failures",
"page": 266
},
{
"level": 2,
"title": "Data Distribution Shifts",
"page": 272
},
{
"level": 3,
"title": "Types of Data Distribution Shifts",
"page": 273
},
{
"level": 3,
"title": "General Data Distribution Shifts",
"page": 275
},
{
"level": 3,
"title": "Detecting Data Distribution Shifts",
"page": 275
},
{
"level": 3,
"title": "Addressing Data Distribution Shifts",
"page": 279
},
{
"level": 2,
"title": "Monitoring and Observability",
"page": 280
},
{
"level": 3,
"title": "ML-Specific Metrics",
"page": 281
},
{
"level": 3,
"title": "Monitoring Toolbox",
"page": 283
},
{
"level": 3,
"title": "Observability",
"page": 286
},
{
"level": 2,
"title": "Summary",
"page": 287
},
{
"level": 1,
"title": "9. Continual Learning and Test in Production",
"page": 290
},
{
"level": 2,
"title": "Continual Learning",
"page": 291
},
{
"level": 3,
"title": "Stateless Retraining Versus Stateful Training",
"page": 292
},
{
"level": 3,
"title": "Why Continual Learning?",
"page": 296
},
{
"level": 3,
"title": "Continual Learning Challenges",
"page": 299
},
{
"level": 3,
"title": "Four Stages of Continual Learning",
"page": 304
},
{
"level": 3,
"title": "How Often to Update Your Models",
"page": 310
},
{
"level": 2,
"title": "Test in Production",
"page": 313
},
{
"level": 3,
"title": "Shadow Deployment",
"page": 314
},
{
"level": 3,
"title": "A/B Testing",
"page": 314
},
{
"level": 3,
"title": "Canary Release",
"page": 317
},
{
"level": 3,
"title": "Interleaving Experiments",
"page": 318
},
{
"level": 3,
"title": "Bandits",
"page": 320
},
{
"level": 2,
"title": "Summary",
"page": 325
},
{
"level": 1,
"title": "10. Infrastructure and Tooling for MLOps",
"page": 329
},
{
"level": 2,
"title": "Storage and Compute",
"page": 333
},
{
"level": 3,
"title": "Public Cloud Versus Private Data Centers",
"page": 336
},
{
"level": 2,
"title": "Development Environment",
"page": 340
},
{
"level": 3,
"title": "Dev Environment Setup",
"page": 341
},
{
"level": 3,
"title": "Standardizing Dev Environments",
"page": 345
},
{
"level": 3,
"title": "From Dev to Prod: Containers",
"page": 348
},
{
"level": 2,
"title": "Resource Management",
"page": 351
},
{
"level": 3,
"title": "Cron, Schedulers, and Orchestrators",
"page": 352
},
{
"level": 3,
"title": "Data Science Workflow Management",
"page": 355
},
{
"level": 2,
"title": "ML Platform",
"page": 362
},
{
"level": 3,
"title": "Model Deployment",
"page": 363
},
{
"level": 3,
"title": "Model Store",
"page": 364
},
{
"level": 3,
"title": "Feature Store",
"page": 369
},
{
"level": 2,
"title": "Build Versus Buy",
"page": 372
},
{
"level": 2,
"title": "Summary",
"page": 374
},
{
"level": 1,
"title": "11. The Human Side of Machine Learning",
"page": 379
},
{
"level": 2,
"title": "User Experience",
"page": 379
},
{
"level": 3,
"title": "Ensuring User Experience Consistency",
"page": 380
},
{
"level": 3,
"title": "Combatting “Mostly Correct” Predictions",
"page": 381
},
{
"level": 3,
"title": "Smooth Failing",
"page": 382
},
{
"level": 2,
"title": "Team Structure",
"page": 383
},
{
"level": 3,
"title": "Cross-functional Teams Collaboration",
"page": 384
},
{
"level": 3,
"title": "End-to-End Data Scientists",
"page": 385
},
{
"level": 2,
"title": "Responsible AI",
"page": 390
},
{
"level": 3,
"title": "Irresponsible AI: Case Studies",
"page": 391
},
{
"level": 3,
"title": "A Framework for Responsible AI",
"page": 399
},
{
"level": 2,
"title": "Summary",
"page": 407
},
{
"level": 1,
"title": "Epilogue",
"page": 411
},
{
"level": 1,
"title": "Index",
"page": 412
},
{
"level": 1,
"title": "About the Author",
"page": 460
}
]
},
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{
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"page": 1
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{
"level": 1,
"title": "Copyright",
"page": 4
},
{
"level": 1,
"title": "Table of Contents",
"page": 5
},
{
"level": 1,
"title": "Preface",
"page": 13
},
{
"level": 2,
"title": "The Machine Learning Tsunami",
"page": 13
},
{
"level": 2,
"title": "Machine Learning in Your Projects",
"page": 13
},
{
"level": 2,
"title": "Objective and Approach",
"page": 14
},
{
"level": 2,
"title": "Prerequisites",
"page": 15
},
{
"level": 2,
"title": "Roadmap",
"page": 15
},
{
"level": 2,
"title": "Other Resources",
"page": 17
},
{
"level": 2,
"title": "Conventions Used in This Book",
"page": 18
},
{
"level": 2,
"title": "Code Examples",
"page": 19
},
{
"level": 2,
"title": "Using Code Examples",
"page": 20
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{
"level": 2,
"title": "O’Reilly Safari",
"page": 20
},
{
"level": 2,
"title": "How to Contact Us",
"page": 20
},
{
"level": 2,
"title": "Changes in the Second Edition",
"page": 21
},
{
"level": 2,
"title": "Acknowledgments",
"page": 25
},
{
"level": 1,
"title": "Part I. The Fundamentals of Machine Learning",
"page": 27
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{
"level": 2,
"title": "Chapter 1. The Machine Learning Landscape",
"page": 29
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{
"level": 3,
"title": "What Is Machine Learning?",
"page": 30
},
{
"level": 3,
"title": "Why Use Machine Learning?",
"page": 30
},
{
"level": 3,
"title": "Types of Machine Learning Systems",
"page": 34
},
{
"level": 4,
"title": "Supervised/Unsupervised Learning",
"page": 34
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{
"level": 4,
"title": "Batch and Online Learning",
"page": 41
},
{
"level": 4,
"title": "Instance-Based Versus Model-Based Learning",
"page": 44
},
{
"level": 3,
"title": "Main Challenges of Machine Learning",
"page": 50
},
{
"level": 4,
"title": "Insufficient Quantity of Training Data",
"page": 50
},
{
"level": 4,
"title": "Nonrepresentative Training Data",
"page": 52
},
{
"level": 4,
"title": "Poor-Quality Data",
"page": 53
},
{
"level": 4,
"title": "Irrelevant Features",
"page": 53
},
{
"level": 4,
"title": "Overfitting the Training Data",
"page": 54
},
{
"level": 4,
"title": "Underfitting the Training Data",
"page": 56
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{
"level": 4,
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"page": 56
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{
"level": 3,
"title": "Testing and Validating",
"page": 57
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{
"level": 4,
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"page": 58
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{
"level": 4,
"title": "Data Mismatch",
"page": 59
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{
"level": 3,
"title": "Exercises",
"page": 60
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{
"level": 2,
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"page": 63
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{
"level": 3,
"title": "Working with Real Data",
"page": 64
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{
"level": 3,
"title": "Look at the Big Picture",
"page": 65
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{
"level": 4,
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"page": 65
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{
"level": 4,
"title": "Select a Performance Measure",
"page": 68
},
{
"level": 4,
"title": "Check the Assumptions",
"page": 71
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{
"level": 3,
"title": "Get the Data",
"page": 71
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{
"level": 4,
"title": "Create the Workspace",
"page": 71
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{
"level": 4,
"title": "Download the Data",
"page": 75
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{
"level": 4,
"title": "Take a Quick Look at the Data Structure",
"page": 76
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{
"level": 4,
"title": "Create a Test Set",
"page": 80
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{
"level": 3,
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"page": 84
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{
"level": 4,
"title": "Visualizing Geographical Data",
"page": 85
},
{
"level": 4,
"title": "Looking for Correlations",
"page": 88
},
{
"level": 4,
"title": "Experimenting with Attribute Combinations",
"page": 91
},
{
"level": 3,
"title": "Prepare the Data for Machine Learning Algorithms",
"page": 92
},
{
"level": 4,
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"page": 93
},
{
"level": 4,
"title": "Handling Text and Categorical Attributes",
"page": 95
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{
"level": 4,
"title": "Custom Transformers",
"page": 97
},
{
"level": 4,
"title": "Feature Scaling",
"page": 98
},
{
"level": 4,
"title": "Transformation Pipelines",
"page": 99
},
{
"level": 3,
"title": "Select and Train a Model",
"page": 101
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{
"level": 4,
"title": "Training and Evaluating on the Training Set",
"page": 101
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{
"level": 4,
"title": "Better Evaluation Using Cross-Validation",
"page": 102
},
{
"level": 3,
"title": "Fine-Tune Your Model",
"page": 105
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{
"level": 4,
"title": "Grid Search",
"page": 105
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{
"level": 4,
"title": "Randomized Search",
"page": 107
},
{
"level": 4,
"title": "Ensemble Methods",
"page": 108
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{
"level": 4,
"title": "Analyze the Best Models and Their Errors",
"page": 108
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{
"level": 4,
"title": "Evaluate Your System on the Test Set",
"page": 109
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{
"level": 3,
"title": "Launch, Monitor, and Maintain Your System",
"page": 110
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{
"level": 3,
"title": "Try It Out!",
"page": 111
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{
"level": 3,
"title": "Exercises",
"page": 111
},
{
"level": 2,
"title": "Chapter 3. Classification",
"page": 113
},
{
"level": 3,
"title": "MNIST",
"page": 113
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{
"level": 3,
"title": "Training a Binary Classifier",
"page": 116
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{
"level": 3,
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"page": 116
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{
"level": 4,
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"page": 117
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{
"level": 4,
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"page": 118
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{
"level": 4,
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"page": 120
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{
"level": 4,
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"page": 121
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{
"level": 4,
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"page": 125
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{
"level": 3,
"title": "Multiclass Classification",
"page": 128
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{
"level": 3,
"title": "Error Analysis",
"page": 130
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{
"level": 3,
"title": "Multilabel Classification",
"page": 134
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{
"level": 3,
"title": "Multioutput Classification",
"page": 135
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{
"level": 3,
"title": "Exercises",
"page": 136
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{
"level": 2,
"title": "Chapter 4. Training Models",
"page": 139
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{
"level": 3,
"title": "Linear Regression",
"page": 140
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{
"level": 4,
"title": "The Normal Equation",
"page": 142
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{
"level": 4,
"title": "Computational Complexity",
"page": 145
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{
"level": 3,
"title": "Gradient Descent",
"page": 145
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{
"level": 4,
"title": "Batch Gradient Descent",
"page": 149
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{
"level": 4,
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"page": 152
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{
"level": 4,
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"page": 155
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{
"level": 3,
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"page": 156
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{
"level": 3,
"title": "Learning Curves",
"page": 158
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{
"level": 3,
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"page": 162
},
{
"level": 4,
"title": "Ridge Regression",
"page": 163
},
{
"level": 4,
"title": "Lasso Regression",
"page": 165
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{
"level": 4,
"title": "Elastic Net",
"page": 168
},
{
"level": 4,
"title": "Early Stopping",
"page": 168
},
{
"level": 3,
"title": "Logistic Regression",
"page": 170
},
{
"level": 4,
"title": "Estimating Probabilities",
"page": 170
},
{
"level": 4,
"title": "Training and Cost Function",
"page": 171
},
{
"level": 4,
"title": "Decision Boundaries",
"page": 172
},
{
"level": 4,
"title": "Softmax Regression",
"page": 175
},
{
"level": 3,
"title": "Exercises",
"page": 179
},
{
"level": 2,
"title": "Chapter 5. Support Vector Machines",
"page": 181
},
{
"level": 3,
"title": "Linear SVM Classification",
"page": 181
},
{
"level": 4,
"title": "Soft Margin Classification",
"page": 182
},
{
"level": 3,
"title": "Nonlinear SVM Classification",
"page": 185
},
{
"level": 4,
"title": "Polynomial Kernel",
"page": 186
},
{
"level": 4,
"title": "Adding Similarity Features",
"page": 187
},
{
"level": 4,
"title": "Gaussian RBF Kernel",
"page": 188
},
{
"level": 4,
"title": "Computational Complexity",
"page": 189
},
{
"level": 3,
"title": "SVM Regression",
"page": 190
},
{
"level": 3,
"title": "Under the Hood",
"page": 192
},
{
"level": 4,
"title": "Decision Function and Predictions",
"page": 192
},
{
"level": 4,
"title": "Training Objective",
"page": 193
},
{
"level": 4,
"title": "Quadratic Programming",
"page": 195
},
{
"level": 4,
"title": "The Dual Problem",
"page": 196
},
{
"level": 4,
"title": "Kernelized SVM",
"page": 197
},
{
"level": 4,
"title": "Online SVMs",
"page": 200
},
{
"level": 3,
"title": "Exercises",
"page": 201
},
{
"level": 2,
"title": "Chapter 6. Decision Trees",
"page": 203
},
{
"level": 3,
"title": "Training and Visualizing a Decision Tree",
"page": 203
},
{
"level": 3,
"title": "Making Predictions",
"page": 205
},
{
"level": 3,
"title": "Estimating Class Probabilities",
"page": 207
},
{
"level": 3,
"title": "The CART Training Algorithm",
"page": 208
},
{
"level": 3,
"title": "Computational Complexity",
"page": 209
},
{
"level": 3,
"title": "Gini Impurity or Entropy?",
"page": 209
},
{
"level": 3,
"title": "Regularization Hyperparameters",
"page": 210
},
{
"level": 3,
"title": "Regression",
"page": 211
},
{
"level": 3,
"title": "Instability",
"page": 214
},
{
"level": 3,
"title": "Exercises",
"page": 215
},
{
"level": 2,
"title": "Chapter 7. Ensemble Learning and Random Forests",
"page": 217
},
{
"level": 3,
"title": "Voting Classifiers",
"page": 218
},
{
"level": 3,
"title": "Bagging and Pasting",
"page": 221
},
{
"level": 4,
"title": "Bagging and Pasting in Scikit-Learn",
"page": 222
},
{
"level": 4,
"title": "Out-of-Bag Evaluation",
"page": 223
},
{
"level": 3,
"title": "Random Patches and Random Subspaces",
"page": 224
},
{
"level": 3,
"title": "Random Forests",
"page": 225
},
{
"level": 4,
"title": "Extra-Trees",
"page": 226
},
{
"level": 4,
"title": "Feature Importance",
"page": 226
},
{
"level": 3,
"title": "Boosting",
"page": 227
},
{
"level": 4,
"title": "AdaBoost",
"page": 228
},
{
"level": 4,
"title": "Gradient Boosting",
"page": 231
},
{
"level": 3,
"title": "Stacking",
"page": 236
},
{
"level": 3,
"title": "Exercises",
"page": 239
},
{
"level": 2,
"title": "Chapter 8. Dimensionality Reduction",
"page": 241
},
{
"level": 3,
"title": "The Curse of Dimensionality",
"page": 242
},
{
"level": 3,
"title": "Main Approaches for Dimensionality Reduction",
"page": 244
},
{
"level": 4,
"title": "Projection",
"page": 244
},
{
"level": 4,
"title": "Manifold Learning",
"page": 246
},
{
"level": 3,
"title": "PCA",
"page": 248
},
{
"level": 4,
"title": "Preserving the Variance",
"page": 248
},
{
"level": 4,
"title": "Principal Components",
"page": 249
},
{
"level": 4,
"title": "Projecting Down to d Dimensions",
"page": 250
},
{
"level": 4,
"title": "Using Scikit-Learn",
"page": 250
},
{
"level": 4,
"title": "Explained Variance Ratio",
"page": 251
},
{
"level": 4,
"title": "Choosing the Right Number of Dimensions",
"page": 251
},
{
"level": 4,
"title": "PCA for Compression",
"page": 252
},
{
"level": 4,
"title": "Randomized PCA",
"page": 253
},
{
"level": 4,
"title": "Incremental PCA",
"page": 253
},
{
"level": 3,
"title": "Kernel PCA",
"page": 254
},
{
"level": 4,
"title": "Selecting a Kernel and Tuning Hyperparameters",
"page": 255
},
{
"level": 3,
"title": "LLE",
"page": 258
},
{
"level": 3,
"title": "Other Dimensionality Reduction Techniques",
"page": 260
},
{
"level": 3,
"title": "Exercises",
"page": 261
},
{
"level": 2,
"title": "Chapter 9. Unsupervised Learning Techniques",
"page": 263
},
{
"level": 3,
"title": "Clustering",
"page": 264
},
{
"level": 4,
"title": "K-Means",
"page": 266
},
{
"level": 4,
"title": "Limits of K-Means",
"page": 276
},
{
"level": 4,
"title": "Using clustering for image segmentation",
"page": 277
},
{
"level": 4,
"title": "Using Clustering for Preprocessing",
"page": 278
},
{
"level": 4,
"title": "Using Clustering for Semi-Supervised Learning",
"page": 280
},
{
"level": 4,
"title": "DBSCAN",
"page": 282
},
{
"level": 4,
"title": "Other Clustering Algorithms",
"page": 285
},
{
"level": 3,
"title": "Gaussian Mixtures",
"page": 286
},
{
"level": 4,
"title": "Anomaly Detection using Gaussian Mixtures",
"page": 292
},
{
"level": 4,
"title": "Selecting the Number of Clusters",
"page": 293
},
{
"level": 4,
"title": "Bayesian Gaussian Mixture Models",
"page": 296
},
{
"level": 4,
"title": "Other Anomaly Detection and Novelty Detection Algorithms",
"page": 300
},
{
"level": 1,
"title": "Part II. Neural Networks and Deep Learning",
"page": 301
},
{
"level": 2,
"title": "Chapter 10. Introduction to Artificial Neural Networks with Keras",
"page": 303
},
{
"level": 3,
"title": "From Biological to Artificial Neurons",
"page": 304
},
{
"level": 4,
"title": "Biological Neurons",
"page": 305
},
{
"level": 4,
"title": "Logical Computations with Neurons",
"page": 307
},
{
"level": 4,
"title": "The Perceptron",
"page": 307
},
{
"level": 4,
"title": "Multi-Layer Perceptron and Backpropagation",
"page": 312
},
{
"level": 4,
"title": "Regression MLPs",
"page": 315
},
{
"level": 4,
"title": "Classification MLPs",
"page": 316
},
{
"level": 3,
"title": "Implementing MLPs with Keras",
"page": 318
},
{
"level": 4,
"title": "Installing TensorFlow 2",
"page": 319
},
{
"level": 4,
"title": "Building an Image Classifier Using the Sequential API",
"page": 320
},
{
"level": 4,
"title": "Building a Regression MLP Using the Sequential API",
"page": 329
},
{
"level": 4,
"title": "Building Complex Models Using the Functional API",
"page": 330
},
{
"level": 4,
"title": "Building Dynamic Models Using the Subclassing API",
"page": 335
},
{
"level": 4,
"title": "Saving and Restoring a Model",
"page": 337
},
{
"level": 4,
"title": "Using Callbacks",
"page": 337
},
{
"level": 4,
"title": "Visualization Using TensorBoard",
"page": 339
},
{
"level": 3,
"title": "Fine-Tuning Neural Network Hyperparameters",
"page": 341
},
{
"level": 4,
"title": "Number of Hidden Layers",
"page": 345
},
{
"level": 4,
"title": "Number of Neurons per Hidden Layer",
"page": 346
},
{
"level": 4,
"title": "Learning Rate, Batch Size and Other Hyperparameters",
"page": 346
},
{
"level": 3,
"title": "Exercises",
"page": 348
},
{
"level": 2,
"title": "Chapter 11. Training Deep Neural Networks",
"page": 351
},
{
"level": 3,
"title": "Vanishing/Exploding Gradients Problems",
"page": 352
},
{
"level": 4,
"title": "Glorot and He Initialization",
"page": 353
},
{
"level": 4,
"title": "Nonsaturating Activation Functions",
"page": 355
},
{
"level": 4,
"title": "Batch Normalization",
"page": 359
},
{
"level": 4,
"title": "Gradient Clipping",
"page": 364
},
{
"level": 3,
"title": "Reusing Pretrained Layers",
"page": 365
},
{
"level": 4,
"title": "Transfer Learning With Keras",
"page": 367
},
{
"level": 4,
"title": "Unsupervised Pretraining",
"page": 369
},
{
"level": 4,
"title": "Pretraining on an Auxiliary Task",
"page": 370
},
{
"level": 3,
"title": "Faster Optimizers",
"page": 370
},
{
"level": 4,
"title": "Momentum Optimization",
"page": 371
},
{
"level": 4,
"title": "Nesterov Accelerated Gradient",
"page": 372
},
{
"level": 4,
"title": "AdaGrad",
"page": 373
},
{
"level": 4,
"title": "RMSProp",
"page": 375
},
{
"level": 4,
"title": "Adam and Nadam Optimization",
"page": 375
},
{
"level": 4,
"title": "Learning Rate Scheduling",
"page": 378
},
{
"level": 3,
"title": "Avoiding Overfitting Through Regularization",
"page": 382
},
{
"level": 4,
"title": "ℓ1 and ℓ2 Regularization",
"page": 382
},
{
"level": 4,
"title": "Dropout",
"page": 383
},
{
"level": 4,
"title": "Monte-Carlo (MC) Dropout",
"page": 386
},
{
"level": 4,
"title": "Max-Norm Regularization",
"page": 388
},
{
"level": 3,
"title": "Summary and Practical Guidelines",
"page": 389
},
{
"level": 3,
"title": "Exercises",
"page": 390
},
{
"level": 2,
"title": "Chapter 12. Custom Models and Training with TensorFlow",
"page": 393
},
{
"level": 3,
"title": "A Quick Tour of TensorFlow",
"page": 394
},
{
"level": 3,
"title": "Using TensorFlow like NumPy",
"page": 397
},
{
"level": 4,
"title": "Tensors and Operations",
"page": 397
},
{
"level": 4,
"title": "Tensors and NumPy",
"page": 399
},
{
"level": 4,
"title": "Type Conversions",
"page": 400
},
{
"level": 4,
"title": "Variables",
"page": 400
},
{
"level": 4,
"title": "Other Data Structures",
"page": 401
},
{
"level": 3,
"title": "Customizing Models and Training Algorithms",
"page": 402
},
{
"level": 4,
"title": "Custom Loss Functions",
"page": 402
},
{
"level": 4,
"title": "Saving and Loading Models That Contain Custom Components",
"page": 403
},
{
"level": 4,
"title": "Custom Activation Functions, Initializers, Regularizers, and Constraints",
"page": 405
},
{
"level": 4,
"title": "Custom Metrics",
"page": 406
},
{
"level": 4,
"title": "Custom Layers",
"page": 409
},
{
"level": 4,
"title": "Custom Models",
"page": 412
},
{
"level": 4,
"title": "Losses and Metrics Based on Model Internals",
"page": 414
},
{
"level": 4,
"title": "Computing Gradients Using Autodiff",
"page": 415
},
{
"level": 4,
"title": "Custom Training Loops",
"page": 419
},
{
"level": 3,
"title": "TensorFlow Functions and Graphs",
"page": 422
},
{
"level": 4,
"title": "Autograph and Tracing",
"page": 424
},
{
"level": 4,
"title": "TF Function Rules",
"page": 426
},
{
"level": 2,
"title": "Chapter 13. Loading and Preprocessing Data with TensorFlow",
"page": 429
},
{
"level": 3,
"title": "The Data API",
"page": 430
},
{
"level": 4,
"title": "Chaining Transformations",
"page": 431
},
{
"level": 4,
"title": "Shuffling the Data",
"page": 432
},
{
"level": 4,
"title": "Preprocessing the Data",
"page": 435
},
{
"level": 4,
"title": "Putting Everything Together",
"page": 436
},
{
"level": 4,
"title": "Prefetching",
"page": 437
},
{
"level": 4,
"title": "Using the Dataset With tf.keras",
"page": 439
},
{
"level": 3,
"title": "The TFRecord Format",
"page": 440
},
{
"level": 4,
"title": "Compressed TFRecord Files",
"page": 441
},
{
"level": 4,
"title": "A Brief Introduction to Protocol Buffers",
"page": 441
},
{
"level": 4,
"title": "TensorFlow Protobufs",
"page": 442
},
{
"level": 4,
"title": "Loading and Parsing Examples",
"page": 444
},
{
"level": 4,
"title": "Handling Lists of Lists Using the SequenceExample Protobuf",
"page": 445
},
{
"level": 3,
"title": "The Features API",
"page": 446
},
{
"level": 4,
"title": "Categorical Features",
"page": 447
},
{
"level": 4,
"title": "Crossed Categorical Features",
"page": 447
},
{
"level": 4,
"title": "Encoding Categorical Features Using One-Hot Vectors",
"page": 448
},
{
"level": 4,
"title": "Encoding Categorical Features Using Embeddings",
"page": 449
},
{
"level": 4,
"title": "Using Feature Columns for Parsing",
"page": 452
},
{
"level": 4,
"title": "Using Feature Columns in Your Models",
"page": 452
},
{
"level": 3,
"title": "TF Transform",
"page": 454
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{
"level": 3,
"title": "The TensorFlow Datasets (TFDS) Project",
"page": 455
},
{
"level": 2,
"title": "Chapter 14. Deep Computer Vision Using Convolutional Neural Networks",
"page": 457
},
{
"level": 3,
"title": "The Architecture of the Visual Cortex",
"page": 458
},
{
"level": 3,
"title": "Convolutional Layer",
"page": 460
},
{
"level": 4,
"title": "Filters",
"page": 462
},
{
"level": 4,
"title": "Stacking Multiple Feature Maps",
"page": 463
},
{
"level": 4,
"title": "TensorFlow Implementation",
"page": 465
},
{
"level": 4,
"title": "Memory Requirements",
"page": 467
},
{
"level": 3,
"title": "Pooling Layer",
"page": 468
},
{
"level": 4,
"title": "TensorFlow Implementation",
"page": 470
},
{
"level": 3,
"title": "CNN Architectures",
"page": 472
},
{
"level": 4,
"title": "LeNet-5",
"page": 475
},
{
"level": 4,
"title": "AlexNet",
"page": 476
},
{
"level": 4,
"title": "GoogLeNet",
"page": 478
},
{
"level": 4,
"title": "VGGNet",
"page": 482
},
{
"level": 4,
"title": "ResNet",
"page": 483
},
{
"level": 4,
"title": "Xception",
"page": 485
},
{
"level": 4,
"title": "SENet",
"page": 487
},
{
"level": 3,
"title": "Implementing a ResNet-34 CNN Using Keras",
"page": 490
},
{
"level": 3,
"title": "Using Pretrained Models From Keras",
"page": 491
},
{
"level": 3,
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"page": 493
},
{
"level": 3,
"title": "Classification and Localization",
"page": 495
},
{
"level": 3,
"title": "Object Detection",
"page": 497
},
{
"level": 4,
"title": "Fully Convolutional Networks (FCNs)",
"page": 499
},
{
"level": 4,
"title": "You Only Look Once (YOLO)",
"page": 501
},
{
"level": 3,
"title": "Semantic Segmentation",
"page": 504
},
{
"level": 3,
"title": "Exercises",
"page": 508
},
{
"level": 1,
"title": "About the Author",
"page": 510
},
{
"level": 1,
"title": "Colophon",
"page": 510
}
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{
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"page": 14
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{
"level": 2,
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{
"level": 1,
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{
"level": 3,
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{
"level": 3,
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{
"level": 3,
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{
"level": 3,
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{
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{
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{
"level": 3,
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{
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{
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{
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{
"level": 3,
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"page": 50
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{
"level": 3,
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{
"level": 3,
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{
"level": 3,
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{
"level": 3,
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{
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{
"level": 3,
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{
"level": 3,
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{
"level": 2,
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"page": 73
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{
"level": 3,
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"page": 73
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{
"level": 3,
"title": "Applied",
"page": 75
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{
"level": 1,
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"page": 78
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{
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{
"level": 3,
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{
"level": 3,
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{
"level": 3,
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{
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{
"level": 3,
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{
"level": 3,
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{
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{
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{
"level": 3,
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{
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{
"level": 2,
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{
"level": 2,
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{
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{
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{
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{
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{
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{
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{
"level": 3,
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{
"level": 3,
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{
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{
"level": 3,
"title": "Conceptual",
"page": 136
},
{
"level": 3,
"title": "Applied",
"page": 138
},
{
"level": 1,
"title": "4 Classification",
"page": 144
},
{
"level": 2,
"title": "4.1 An Overview of Classification",
"page": 144
},
{
"level": 2,
"title": "4.2 Why Not Linear Regression?",
"page": 145
},
{
"level": 2,
"title": "4.3 Logistic Regression",
"page": 147
},
{
"level": 3,
"title": "4.3.1 The Logistic Model",
"page": 148
},
{
"level": 3,
"title": "4.3.2 Estimating the Regression Coefficients",
"page": 149
},
{
"level": 3,
"title": "4.3.3 Making Predictions",
"page": 150
},
{
"level": 3,
"title": "4.3.4 Multiple Logistic Regression",
"page": 151
},
{
"level": 3,
"title": "4.3.5 Multinomial Logistic Regression",
"page": 153
},
{
"level": 2,
"title": "4.4 Generative Models for Classification",
"page": 155
},
{
"level": 3,
"title": "4.4.1 Linear Discriminant Analysis for p = 1",
"page": 156
},
{
"level": 3,
"title": "4.4.2 Linear Discriminant Analysis for p >1",
"page": 159
},
{
"level": 3,
"title": "4.4.3 Quadratic Discriminant Analysis",
"page": 165
},
{
"level": 3,
"title": "4.4.4 Naive Bayes",
"page": 167
},
{
"level": 2,
"title": "4.5 A Comparison of Classification Methods",
"page": 170
},
{
"level": 3,
"title": "4.5.1 An Analytical Comparison",
"page": 170
},
{
"level": 3,
"title": "4.5.2 An Empirical Comparison",
"page": 173
},
{
"level": 2,
"title": "4.6 Generalized Linear Models",
"page": 176
},
{
"level": 3,
"title": "4.6.1 Linear Regression on the Bikeshare Data",
"page": 176
},
{
"level": 3,
"title": "4.6.2 Poisson Regression on the Bikeshare Data",
"page": 178
},
{
"level": 3,
"title": "4.6.3 Generalized Linear Models in Greater Generality",
"page": 181
},
{
"level": 2,
"title": "4.7 Lab: Logistic Regression, LDA, QDA, and KNN",
"page": 182
},
{
"level": 3,
"title": "4.7.1 The Stock Market Data",
"page": 182
},
{
"level": 3,
"title": "4.7.2 Logistic Regression",
"page": 183
},
{
"level": 3,
"title": "4.7.3 Linear Discriminant Analysis",
"page": 188
},
{
"level": 3,
"title": "4.7.4 Quadratic Discriminant Analysis",
"page": 190
},
{
"level": 3,
"title": "4.7.5 Naive Bayes",
"page": 191
},
{
"level": 3,
"title": "4.7.6 K-Nearest Neighbors",
"page": 192
},
{
"level": 3,
"title": "4.7.7 Linear and Poisson Regression on the Bikeshare Data",
"page": 197
},
{
"level": 2,
"title": "4.8 Exercises",
"page": 202
},
{
"level": 3,
"title": "Conceptual",
"page": 202
},
{
"level": 3,
"title": "Applied",
"page": 205
},
{
"level": 1,
"title": "5 Resampling Methods",
"page": 209
},
{
"level": 2,
"title": "5.1 Cross-Validation",
"page": 210
},
{
"level": 3,
"title": "5.1.1 The Validation Set Approach",
"page": 210
},
{
"level": 3,
"title": "5.1.2 Leave-One-Out Cross-Validation",
"page": 212
},
{
"level": 3,
"title": "5.1.3 k-Fold Cross-Validation",
"page": 214
},
{
"level": 3,
"title": "5.1.4 Bias-Variance Trade-Off for k-Fold Cross-Validation",
"page": 216
},
{
"level": 3,
"title": "5.1.5 Cross-Validation on Classification Problems",
"page": 217
},
{
"level": 2,
"title": "5.2 The Bootstrap",
"page": 220
},
{
"level": 2,
"title": "5.3 Lab: Cross-Validation and the Bootstrap",
"page": 223
},
{
"level": 3,
"title": "5.3.1 The Validation Set Approach",
"page": 224
},
{
"level": 3,
"title": "5.3.2 Cross-Validation",
"page": 225
},
{
"level": 3,
"title": "5.3.3 The Bootstrap",
"page": 228
},
{
"level": 2,
"title": "5.4 Exercises",
"page": 232
},
{
"level": 3,
"title": "Conceptual",
"page": 232
},
{
"level": 3,
"title": "Applied",
"page": 233
},
{
"level": 1,
"title": "6 Linear Model Selection and Regularization",
"page": 237
},
{
"level": 2,
"title": "6.1 Subset Selection",
"page": 239
},
{
"level": 3,
"title": "6.1.1 Best Subset Selection",
"page": 239
},
{
"level": 3,
"title": "6.1.2 Stepwise Selection",
"page": 241
},
{
"level": 3,
"title": "6.1.3 Choosing the Optimal Model",
"page": 243
},
{
"level": 2,
"title": "6.2 Shrinkage Methods",
"page": 248
},
{
"level": 3,
"title": "6.2.1 Ridge Regression",
"page": 248
},
{
"level": 3,
"title": "6.2.2 The Lasso",
"page": 252
},
{
"level": 3,
"title": "6.2.3 Selecting the Tuning Parameter",
"page": 260
},
{
"level": 2,
"title": "6.3 Dimension Reduction Methods",
"page": 261
},
{
"level": 3,
"title": "6.3.1 Principal Components Regression",
"page": 262
},
{
"level": 3,
"title": "6.3.2 Partial Least Squares",
"page": 268
},
{
"level": 2,
"title": "6.4 Considerations in High Dimensions",
"page": 270
},
{
"level": 3,
"title": "6.4.1 High-Dimensional Data",
"page": 270
},
{
"level": 3,
"title": "6.4.2 What Goes Wrong in High Dimensions?",
"page": 271
},
{
"level": 3,
"title": "6.4.3 Regression in High Dimensions",
"page": 273
},
{
"level": 3,
"title": "6.4.4 Interpreting Results in High Dimensions",
"page": 274
},
{
"level": 2,
"title": "6.5 Lab: Linear Models and Regularization Methods",
"page": 275
},
{
"level": 3,
"title": "6.5.1 Subset Selection Methods",
"page": 276
},
{
"level": 3,
"title": "6.5.2 Ridge Regression and the Lasso",
"page": 281
},
{
"level": 3,
"title": "6.5.3 PCR and PLS Regression",
"page": 288
},
{
"level": 2,
"title": "6.6 Exercises",
"page": 291
},
{
"level": 3,
"title": "Conceptual",
"page": 291
},
{
"level": 3,
"title": "Applied",
"page": 294
},
{
"level": 1,
"title": "7 Moving Beyond Linearity",
"page": 297
},
{
"level": 2,
"title": "7.1 Polynomial Regression",
"page": 298
},
{
"level": 2,
"title": "7.2 Step Functions",
"page": 300
},
{
"level": 2,
"title": "7.3 Basis Functions",
"page": 301
},
{
"level": 2,
"title": "7.4 Regression Splines",
"page": 302
},
{
"level": 3,
"title": "7.4.1 Piecewise Polynomials",
"page": 302
},
{
"level": 3,
"title": "7.4.2 Constraints and Splines",
"page": 304
},
{
"level": 3,
"title": "7.4.3 The Spline Basis Representation",
"page": 304
},
{
"level": 3,
"title": "7.4.4 Choosing the Number and Locations of the Knots",
"page": 305
},
{
"level": 3,
"title": "7.4.5 Comparison to Polynomial Regression",
"page": 307
},
{
"level": 2,
"title": "7.5 Smoothing Splines",
"page": 308
},
{
"level": 3,
"title": "7.5.1 An Overview of Smoothing Splines",
"page": 308
},
{
"level": 3,
"title": "7.5.2 Choosing the Smoothing Parameter λ",
"page": 309
},
{
"level": 2,
"title": "7.6 Local Regression",
"page": 311
},
{
"level": 2,
"title": "7.7 Generalized Additive Models",
"page": 313
},
{
"level": 3,
"title": "7.7.1 GAMs for Regression Problems",
"page": 314
},
{
"level": 3,
"title": "7.7.2 GAMs for Classification Problems",
"page": 316
},
{
"level": 2,
"title": "7.8 Lab: Non-Linear Modeling",
"page": 317
},
{
"level": 3,
"title": "7.8.1 Polynomial Regression and Step Functions",
"page": 318
},
{
"level": 3,
"title": "7.8.2 Splines",
"page": 323
},
{
"level": 3,
"title": "7.8.3 Smoothing Splines and GAMs",
"page": 325
},
{
"level": 3,
"title": "7.8.4 Local Regression",
"page": 332
},
{
"level": 2,
"title": "7.9 Exercises",
"page": 333
},
{
"level": 3,
"title": "Conceptual",
"page": 333
},
{
"level": 3,
"title": "Applied",
"page": 335
},
{
"level": 1,
"title": "8 Tree-Based Methods",
"page": 338
},
{
"level": 2,
"title": "8.1 The Basics of Decision Trees",
"page": 338
},
{
"level": 3,
"title": "8.1.1 Regression Trees",
"page": 338
},
{
"level": 3,
"title": "8.1.2 Classification Trees",
"page": 344
},
{
"level": 3,
"title": "8.1.3 Trees Versus Linear Models",
"page": 348
},
{
"level": 3,
"title": "8.1.4 Advantages and Disadvantages of Trees",
"page": 348
},
{
"level": 2,
"title": "8.2 Bagging, Random Forests, Boosting, and Bayesian Additive Regression Trees",
"page": 350
},
{
"level": 3,
"title": "8.2.1 Bagging",
"page": 350
},
{
"level": 3,
"title": "8.2.2 Random Forests",
"page": 353
},
{
"level": 3,
"title": "8.2.3 Boosting",
"page": 354
},
{
"level": 3,
"title": "8.2.4 Bayesian Additive Regression Trees",
"page": 357
},
{
"level": 3,
"title": "8.2.5 Summary of Tree Ensemble Methods",
"page": 360
},
{
"level": 2,
"title": "8.3 Lab: Tree-Based Methods",
"page": 361
},
{
"level": 3,
"title": "8.3.1 Fitting Classification Trees",
"page": 362
},
{
"level": 3,
"title": "8.3.2 Fitting Regression Trees",
"page": 365
},
{
"level": 3,
"title": "8.3.3 Bagging and Random Forests",
"page": 367
},
{
"level": 3,
"title": "8.3.4 Boosting",
"page": 368
},
{
"level": 3,
"title": "8.3.5 Bayesian Additive Regression Trees",
"page": 369
},
{
"level": 2,
"title": "8.4 Exercises",
"page": 370
},
{
"level": 3,
"title": "Conceptual",
"page": 370
},
{
"level": 3,
"title": "Applied",
"page": 371
},
{
"level": 1,
"title": "9 Support Vector Machines",
"page": 374
},
{
"level": 2,
"title": "9.1 Maximal Margin Classifier",
"page": 374
},
{
"level": 3,
"title": "9.1.1 What Is a Hyperplane?",
"page": 375
},
{
"level": 3,
"title": "9.1.2 Classification Using a Separating Hyperplane",
"page": 375
},
{
"level": 3,
"title": "9.1.3 The Maximal Margin Classifier",
"page": 377
},
{
"level": 3,
"title": "9.1.4 Construction of the Maximal Margin Classifier",
"page": 379
},
{
"level": 3,
"title": "9.1.5 The Non-separable Case",
"page": 379
},
{
"level": 2,
"title": "9.2 Support Vector Classifiers",
"page": 380
},
{
"level": 3,
"title": "9.2.1 Overview of the Support Vector Classifier",
"page": 380
},
{
"level": 3,
"title": "9.2.2 Details of the Support Vector Classifier",
"page": 381
},
{
"level": 2,
"title": "9.3 Support Vector Machines",
"page": 384
},
{
"level": 3,
"title": "9.3.1 Classification with Non-Linear Decision Boundaries",
"page": 385
},
{
"level": 3,
"title": "9.3.2 The Support Vector Machine",
"page": 386
},
{
"level": 3,
"title": "9.3.3 An Application to the Heart Disease Data",
"page": 389
},
{
"level": 2,
"title": "9.4 SVMs with More than Two Classes",
"page": 390
},
{
"level": 3,
"title": "9.4.1 One-Versus-One Classification",
"page": 391
},
{
"level": 3,
"title": "9.4.2 One-Versus-All Classification",
"page": 391
},
{
"level": 2,
"title": "9.5 Relationship to Logistic Regression",
"page": 391
},
{
"level": 2,
"title": "9.6 Lab: Support Vector Machines",
"page": 394
},
{
"level": 3,
"title": "9.6.1 Support Vector Classifier",
"page": 394
},
{
"level": 3,
"title": "9.6.2 Support Vector Machine",
"page": 397
},
{
"level": 3,
"title": "9.6.3 ROC Curves",
"page": 399
},
{
"level": 3,
"title": "9.6.4 SVM with Multiple Classes",
"page": 400
},
{
"level": 3,
"title": "9.6.5 Application to Gene Expression Data",
"page": 401
},
{
"level": 2,
"title": "9.7 Exercises",
"page": 402
},
{
"level": 3,
"title": "Conceptual",
"page": 402
},
{
"level": 3,
"title": "Applied",
"page": 403
},
{
"level": 1,
"title": "10 Deep Learning",
"page": 406
},
{
"level": 2,
"title": "10.1 Single Layer Neural Networks",
"page": 407
},
{
"level": 2,
"title": "10.2 Multilayer Neural Networks",
"page": 409
},
{
"level": 2,
"title": "10.3 Convolutional Neural Networks",
"page": 413
},
{
"level": 3,
"title": "10.3.1 Convolution Layers",
"page": 414
},
{
"level": 3,
"title": "10.3.2 Pooling Layers",
"page": 417
},
{
"level": 3,
"title": "10.3.3 Architecture of a Convolutional Neural Network",
"page": 417
},
{
"level": 3,
"title": "10.3.4 Data Augmentation",
"page": 418
},
{
"level": 3,
"title": "10.3.5 Results Using a Pretrained Classifier",
"page": 419
},
{
"level": 2,
"title": "10.4 Document Classification",
"page": 420
},
{
"level": 2,
"title": "10.5 Recurrent Neural Networks",
"page": 423
},
{
"level": 3,
"title": "10.5.1 Sequential Models for Document Classification",
"page": 425
},
{
"level": 3,
"title": "10.5.2 Time Series Forecasting",
"page": 427
},
{
"level": 3,
"title": "10.5.3 Summary of RNNs",
"page": 431
},
{
"level": 2,
"title": "10.6 When to Use Deep Learning",
"page": 432
},
{
"level": 2,
"title": "10.7 Fitting a Neural Network",
"page": 434
},
{
"level": 3,
"title": "10.7.1 Backpropagation",
"page": 435
},
{
"level": 3,
"title": "10.7.2 Regularization and Stochastic Gradient Descent",
"page": 436
},
{
"level": 3,
"title": "10.7.3 Dropout Learning",
"page": 438
},
{
"level": 3,
"title": "10.7.4 Network Tuning",
"page": 438
},
{
"level": 2,
"title": "10.8 Interpolation and Double Descent",
"page": 439
},
{
"level": 2,
"title": "10.9 Lab: Deep Learning",
"page": 442
},
{
"level": 3,
"title": "10.9.1 Single Layer Network on Hitters Data",
"page": 444
},
{
"level": 3,
"title": "10.9.2 Multilayer Network on the MNIST Digit Data",
"page": 451
},
{
"level": 3,
"title": "10.9.3 Convolutional Neural Networks",
"page": 455
},
{
"level": 3,
"title": "10.9.4 Using Pretrained CNN Models",
"page": 459
},
{
"level": 3,
"title": "10.9.5 IMDB Document Classification",
"page": 461
},
{
"level": 3,
"title": "10.9.6 Recurrent Neural Networks",
"page": 465
},
{
"level": 2,
"title": "10.10 Exercises",
"page": 472
},
{
"level": 3,
"title": "Conceptual",
"page": 472
},
{
"level": 3,
"title": "Applied",
"page": 473
},
{
"level": 1,
"title": "11 Survival Analysis and Censored Data",
"page": 475
},
{
"level": 2,
"title": "11.1 Survival and Censoring Times",
"page": 476
},
{
"level": 2,
"title": "11.2 A Closer Look at Censoring",
"page": 476
},
{
"level": 2,
"title": "11.3 The Kaplan–Meier Survival Curve",
"page": 478
},
{
"level": 2,
"title": "11.4 The Log-Rank Test",
"page": 480
},
{
"level": 2,
"title": "11.5 Regression Models With a Survival Response",
"page": 482
},
{
"level": 3,
"title": "11.5.1 The Hazard Function",
"page": 482
},
{
"level": 3,
"title": "11.5.2 Proportional Hazards",
"page": 484
},
{
"level": 3,
"title": "11.5.3 Example: Brain Cancer Data",
"page": 488
},
{
"level": 3,
"title": "11.5.4 Example: Publication Data",
"page": 488
},
{
"level": 2,
"title": "11.6 Shrinkage for the Cox Model",
"page": 490
},
{
"level": 2,
"title": "11.7 Additional Topics",
"page": 492
},
{
"level": 3,
"title": "11.7.1 Area Under the Curve for Survival Analysis",
"page": 492
},
{
"level": 3,
"title": "11.7.2 Choice of Time Scale",
"page": 493
},
{
"level": 3,
"title": "11.7.3 Time-Dependent Covariates",
"page": 494
},
{
"level": 3,
"title": "11.7.4 Checking the Proportional Hazards Assumption",
"page": 494
},
{
"level": 3,
"title": "11.7.5 Survival Trees",
"page": 494
},
{
"level": 2,
"title": "11.8 Lab: Survival Analysis",
"page": 495
},
{
"level": 3,
"title": "11.8.1 Brain Cancer Data",
"page": 495
},
{
"level": 3,
"title": "11.8.2 Publication Data",
"page": 499
},
{
"level": 3,
"title": "11.8.3 Call Center Data",
"page": 500
},
{
"level": 2,
"title": "11.9 Exercises",
"page": 504
},
{
"level": 3,
"title": "Conceptual",
"page": 504
},
{
"level": 3,
"title": "Applied",
"page": 508
},
{
"level": 1,
"title": "12 Unsupervised Learning",
"page": 509
},
{
"level": 2,
"title": "12.1 The Challenge of Unsupervised Learning",
"page": 509
},
{
"level": 2,
"title": "12.2 Principal Components Analysis",
"page": 510
},
{
"level": 3,
"title": "12.2.1 What Are Principal Components?",
"page": 511
},
{
"level": 3,
"title": "12.2.2 Another Interpretation of Principal Components",
"page": 514
},
{
"level": 3,
"title": "12.2.3 The Proportion of Variance Explained",
"page": 516
},
{
"level": 3,
"title": "12.2.4 More on PCA",
"page": 518
},
{
"level": 3,
"title": "12.2.5 Other Uses for Principal Components",
"page": 521
},
{
"level": 2,
"title": "12.3 Missing Values and Matrix Completion",
"page": 521
},
{
"level": 2,
"title": "12.4 Clustering Methods",
"page": 526
},
{
"level": 3,
"title": "12.4.1 K-Means Clustering",
"page": 527
},
{
"level": 3,
"title": "12.4.2 Hierarchical Clustering",
"page": 531
},
{
"level": 3,
"title": "12.4.3 Practical Issues in Clustering",
"page": 538
},
{
"level": 2,
"title": "12.5 Lab: Unsupervised Learning",
"page": 541
},
{
"level": 3,
"title": "12.5.1 Principal Components Analysis",
"page": 541
},
{
"level": 3,
"title": "12.5.2 Matrix Completion",
"page": 545
},
{
"level": 3,
"title": "12.5.3 Clustering",
"page": 548
},
{
"level": 3,
"title": "12.5.4 NCI60 Data Example",
"page": 552
},
{
"level": 2,
"title": "12.6 Exercises",
"page": 558
},
{
"level": 3,
"title": "Conceptual",
"page": 558
},
{
"level": 3,
"title": "Applied",
"page": 560
},
{
"level": 1,
"title": "13 Multiple Testing",
"page": 563
},
{
"level": 2,
"title": "13.1 A Quick Review of Hypothesis Testing",
"page": 564
},
{
"level": 3,
"title": "13.1.1 Testing a Hypothesis",
"page": 564
},
{
"level": 3,
"title": "13.1.2 Type I and Type II Errors",
"page": 568
},
{
"level": 2,
"title": "13.2 The Challenge of Multiple Testing",
"page": 569
},
{
"level": 2,
"title": "13.3 The Family-Wise Error Rate",
"page": 571
},
{
"level": 3,
"title": "13.3.1 What is the Family-Wise Error Rate?",
"page": 571
},
{
"level": 3,
"title": "13.3.2 Approaches to Control the Family-Wise Error Rate",
"page": 573
},
{
"level": 3,
"title": "13.3.3 Trade-Off Between the FWER and Power",
"page": 578
},
{
"level": 2,
"title": "13.4 The False Discovery Rate",
"page": 579
},
{
"level": 3,
"title": "13.4.1 Intuition for the False Discovery Rate",
"page": 579
},
{
"level": 3,
"title": "13.4.2 The Benjamini–Hochberg Procedure",
"page": 581
},
{
"level": 2,
"title": "13.5 A Re-Sampling Approach to p-Values and False Discovery Rates",
"page": 583
},
{
"level": 3,
"title": "13.5.1 A Re-Sampling Approach to the p-Value",
"page": 584
},
{
"level": 3,
"title": "13.5.2 A Re-Sampling Approach to the False Discovery Rate",
"page": 585
},
{
"level": 3,
"title": "13.5.3 When Are Re-Sampling Approaches Useful?",
"page": 587
},
{
"level": 2,
"title": "13.6 Lab: Multiple Testing",
"page": 589
},
{
"level": 3,
"title": "13.6.1 Review of Hypothesis Tests",
"page": 589
},
{
"level": 3,
"title": "13.6.2 Family-Wise Error Rate",
"page": 591
},
{
"level": 3,
"title": "13.6.3 False Discovery Rate",
"page": 594
},
{
"level": 3,
"title": "13.6.4 A Re-Sampling Approach",
"page": 596
},
{
"level": 2,
"title": "13.7 Exercises",
"page": 599
},
{
"level": 3,
"title": "Conceptual",
"page": 599
},
{
"level": 3,
"title": "Applied",
"page": 601
},
{
"level": 1,
"title": "Index",
"page": 603
}
]
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"title": "Machine Learning Engineering",
"author": "Andriy Burkov",
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{
"id": "machine_learning_with_pytorch_and_scikit_learn_raschka",
"title": "Machine Learning with PyTorch and Scikit-Learn",
"author": "Sebastian Raschka, Yuxi Liu, Vahid Mirjalili",
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{
"level": 1,
"title": "Cover",
"page": 1
},
{
"level": 1,
"title": "Copyright",
"page": 3
},
{
"level": 1,
"title": "Foreword",
"page": 4
},
{
"level": 1,
"title": "Contributors",
"page": 6
},
{
"level": 1,
"title": "Table of Contents",
"page": 10
},
{
"level": 1,
"title": "Preface",
"page": 24
},
{
"level": 1,
"title": "Chapter 1: Giving Computers the Ability to Learn from Data",
"page": 30
},
{
"level": 2,
"title": "Building intelligent machines to transform data into knowledge",
"page": 30
},
{
"level": 2,
"title": "The three different types of machine learning",
"page": 31
},
{
"level": 3,
"title": "Making predictions about the future with supervised learning",
"page": 32
},
{
"level": 4,
"title": "Classification for predicting class labels",
"page": 33
},
{
"level": 4,
"title": "Regression for predicting continuous outcomes",
"page": 34
},
{
"level": 3,
"title": "Solving interactive problems with reinforcement learning",
"page": 35
},
{
"level": 3,
"title": "Discovering hidden structures with unsupervised learning",
"page": 36
},
{
"level": 4,
"title": "Finding subgroups with clustering",
"page": 37
},
{
"level": 4,
"title": "Dimensionality reduction for data compression",
"page": 37
},
{
"level": 2,
"title": "Introduction to the basic terminology and notations",
"page": 38
},
{
"level": 3,
"title": "Notation and conventions used in this book",
"page": 38
},
{
"level": 3,
"title": "Machine learning terminology",
"page": 40
},
{
"level": 2,
"title": "A roadmap for building machine learning systems",
"page": 41
},
{
"level": 3,
"title": "Preprocessing – getting data into shape",
"page": 42
},
{
"level": 3,
"title": "Training and selecting a predictive model",
"page": 42
},
{
"level": 3,
"title": "Evaluating models and predicting unseen data instances",
"page": 43
},
{
"level": 2,
"title": "Using Python for machine learning",
"page": 43
},
{
"level": 3,
"title": "Installing Python and packages from the Python Package Index",
"page": 43
},
{
"level": 3,
"title": "Using the Anaconda Python distribution and package manager",
"page": 44
},
{
"level": 3,
"title": "Packages for scientific computing, data science, and machine learning",
"page": 45
},
{
"level": 2,
"title": "Summary",
"page": 46
},
{
"level": 1,
"title": "Chapter 2: Training Simple Machine Learning Algorithms for Classification",
"page": 48
},
{
"level": 2,
"title": "Artificial neurons – a brief glimpse into the early history of machine learning",
"page": 48
},
{
"level": 3,
"title": "The formal definition of an artificial neuron",
"page": 49
},
{
"level": 3,
"title": "The perceptron learning rule",
"page": 51
},
{
"level": 2,
"title": "Implementing a perceptron learning algorithm in Python",
"page": 54
},
{
"level": 3,
"title": "An object-oriented perceptron API",
"page": 54
},
{
"level": 3,
"title": "Training a perceptron model on the Iris dataset",
"page": 58
},
{
"level": 2,
"title": "Adaptive linear neurons and the convergence of learning",
"page": 64
},
{
"level": 3,
"title": "Minimizing loss functions with gradient descent",
"page": 66
},
{
"level": 3,
"title": "Implementing Adaline in Python",
"page": 68
},
{
"level": 3,
"title": "Improving gradient descent through feature scaling",
"page": 72
},
{
"level": 3,
"title": "Large-scale machine learning and stochastic gradient descent",
"page": 74
},
{
"level": 2,
"title": "Summary",
"page": 80
},
{
"level": 1,
"title": "Chapter 3: A Tour of Machine Learning Classifiers Using Scikit-Learn",
"page": 82
},
{
"level": 2,
"title": "Choosing a classification algorithm",
"page": 82
},
{
"level": 2,
"title": "First steps with scikit-learn – training a perceptron",
"page": 83
},
{
"level": 2,
"title": "Modeling class probabilities via logistic regression",
"page": 88
},
{
"level": 3,
"title": "Logistic regression and conditional probabilities",
"page": 89
},
{
"level": 3,
"title": "Learning the model weights via the logistic loss function",
"page": 92
},
{
"level": 3,
"title": "Converting an Adaline implementation into an algorithm for logistic regression",
"page": 95
},
{
"level": 3,
"title": "Training a logistic regression model with scikit-learn",
"page": 99
},
{
"level": 3,
"title": "Tackling overfitting via regularization",
"page": 102
},
{
"level": 2,
"title": "Maximum margin classification with support vector machines",
"page": 105
},
{
"level": 3,
"title": "Maximum margin intuition",
"page": 106
},
{
"level": 3,
"title": "Dealing with a nonlinearly separable case using slack variables",
"page": 106
},
{
"level": 3,
"title": "Alternative implementations in scikit-learn",
"page": 108
},
{
"level": 2,
"title": "Solving nonlinear problems using a kernel SVM",
"page": 109
},
{
"level": 3,
"title": "Kernel methods for linearly inseparable data",
"page": 109
},
{
"level": 3,
"title": "Using the kernel trick to find separating hyperplanes in a high-dimensional space",
"page": 111
},
{
"level": 2,
"title": "Decision tree learning",
"page": 115
},
{
"level": 3,
"title": "Maximizing IG – getting the most bang for your buck",
"page": 117
},
{
"level": 3,
"title": "Building a decision tree",
"page": 121
},
{
"level": 3,
"title": "Combining multiple decision trees via random forests",
"page": 124
},
{
"level": 2,
"title": "K-nearest neighbors – a lazy learning algorithm",
"page": 127
},
{
"level": 2,
"title": "Summary",
"page": 131
},
{
"level": 1,
"title": "Chapter 4: Building Good Training Datasets – Data Preprocessing",
"page": 134
},
{
"level": 2,
"title": "Dealing with missing data",
"page": 134
},
{
"level": 3,
"title": "Identifying missing values in tabular data",
"page": 135
},
{
"level": 3,
"title": "Eliminating training examples or features with missing values",
"page": 136
},
{
"level": 3,
"title": "Imputing missing values",
"page": 137
},
{
"level": 3,
"title": "Understanding the scikit-learn estimator API",
"page": 138
},
{
"level": 2,
"title": "Handling categorical data",
"page": 140
},
{
"level": 3,
"title": "Categorical data encoding with pandas",
"page": 140
},
{
"level": 3,
"title": "Mapping ordinal features",
"page": 140
},
{
"level": 3,
"title": "Encoding class labels",
"page": 141
},
{
"level": 3,
"title": "Performing one-hot encoding on nominal features",
"page": 142
},
{
"level": 4,
"title": "Optional: encoding ordinal features",
"page": 145
},
{
"level": 2,
"title": "Partitioning a dataset into separate training and test datasets",
"page": 146
},
{
"level": 2,
"title": "Bringing features onto the same scale",
"page": 148
},
{
"level": 2,
"title": "Selecting meaningful features",
"page": 151
},
{
"level": 3,
"title": "L1 and L2 regularization as penalties against model complexity",
"page": 151
},
{
"level": 3,
"title": "A geometric interpretation of L2 regularization",
"page": 152
},
{
"level": 3,
"title": "Sparse solutions with L1 regularization",
"page": 154
},
{
"level": 3,
"title": "Sequential feature selection algorithms",
"page": 157
},
{
"level": 2,
"title": "Assessing feature importance with random forests",
"page": 163
},
{
"level": 2,
"title": "Summary",
"page": 166
},
{
"level": 1,
"title": "Chapter 5: Compressing Data via Dimensionality Reduction",
"page": 168
},
{
"level": 2,
"title": "Unsupervised dimensionality reduction via principal component analysis",
"page": 168
},
{
"level": 3,
"title": "The main steps in principal component analysis",
"page": 169
},
{
"level": 3,
"title": "Extracting the principal components step by step",
"page": 171
},
{
"level": 3,
"title": "Total and explained variance",
"page": 173
},
{
"level": 3,
"title": "Feature transformation",
"page": 175
},
{
"level": 3,
"title": "Principal component analysis in scikit-learn",
"page": 178
},
{
"level": 3,
"title": "Assessing feature contributions",
"page": 181
},
{
"level": 2,
"title": "Supervised data compression via linear discriminant analysis",
"page": 183
},
{
"level": 3,
"title": "Principal component analysis versus linear discriminant analysis",
"page": 183
},
{
"level": 3,
"title": "The inner workings of linear discriminant analysis",
"page": 185
},
{
"level": 3,
"title": "Computing the scatter matrices",
"page": 185
},
{
"level": 3,
"title": "Selecting linear discriminants for the new feature subspace",
"page": 187
},
{
"level": 3,
"title": "Projecting examples onto the new feature space",
"page": 190
},
{
"level": 3,
"title": "LDA via scikit-learn",
"page": 191
},
{
"level": 2,
"title": "Nonlinear dimensionality reduction and visualization",
"page": 192
},
{
"level": 3,
"title": "Why consider nonlinear dimensionality reduction?",
"page": 193
},
{
"level": 3,
"title": "Visualizing data via t-distributed stochastic neighbor embedding",
"page": 194
},
{
"level": 2,
"title": "Summary",
"page": 198
},
{
"level": 1,
"title": "Chapter 6: Learning Best Practices for Model Evaluation and Hyperparameter Tuning",
"page": 200
},
{
"level": 2,
"title": "Streamlining workflows with pipelines",
"page": 200
},
{
"level": 3,
"title": "Loading the Breast Cancer Wisconsin dataset",
"page": 201
},
{
"level": 3,
"title": "Combining transformers and estimators in a pipeline",
"page": 202
},
{
"level": 2,
"title": "Using k-fold cross-validation to assess model performance",
"page": 204
},
{
"level": 3,
"title": "The holdout method",
"page": 204
},
{
"level": 3,
"title": "K-fold cross-validation",
"page": 205
},
{
"level": 2,
"title": "Debugging algorithms with learning and validation curves",
"page": 209
},
{
"level": 3,
"title": "Diagnosing bias and variance problems with learning curves",
"page": 209
},
{
"level": 3,
"title": "Addressing over- and underfitting with validation curves",
"page": 212
},
{
"level": 2,
"title": "Fine-tuning machine learning models via grid search",
"page": 214
},
{
"level": 3,
"title": "Tuning hyperparameters via grid search",
"page": 215
},
{
"level": 3,
"title": "Exploring hyperparameter configurations more widely with randomized search",
"page": 216
},
{
"level": 3,
"title": "More resource-efficient hyperparameter search with successive halving",
"page": 218
},
{
"level": 3,
"title": "Algorithm selection with nested cross-validation",
"page": 220
},
{
"level": 2,
"title": "Looking at different performance evaluation metrics",
"page": 222
},
{
"level": 3,
"title": "Reading a confusion matrix",
"page": 222
},
{
"level": 3,
"title": "Optimizing the precision and recall of a classification model",
"page": 224
},
{
"level": 3,
"title": "Plotting a receiver operating characteristic",
"page": 227
},
{
"level": 3,
"title": "Scoring metrics for multiclass classification",
"page": 229
},
{
"level": 3,
"title": "Dealing with class imbalance",
"page": 230
},
{
"level": 2,
"title": "Summary",
"page": 232
},
{
"level": 1,
"title": "Chapter 7: Combining Different Models for Ensemble Learning",
"page": 234
},
{
"level": 2,
"title": "Learning with ensembles",
"page": 234
},
{
"level": 2,
"title": "Combining classifiers via majority vote",
"page": 238
},
{
"level": 3,
"title": "Implementing a simple majority vote classifier",
"page": 238
},
{
"level": 3,
"title": "Using the majority voting principle to make predictions",
"page": 243
},
{
"level": 3,
"title": "Evaluating and tuning the ensemble classifier",
"page": 246
},
{
"level": 2,
"title": "Bagging – building an ensemble of classifiers from bootstrap samples",
"page": 252
},
{
"level": 3,
"title": "Bagging in a nutshell",
"page": 253
},
{
"level": 3,
"title": "Applying bagging to classify examples in the Wine dataset",
"page": 254
},
{
"level": 2,
"title": "Leveraging weak learners via adaptive boosting",
"page": 258
},
{
"level": 3,
"title": "How adaptive boosting works",
"page": 258
},
{
"level": 3,
"title": "Applying AdaBoost using scikit-learn",
"page": 262
},
{
"level": 2,
"title": "Gradient boosting – training an ensemble based on loss gradients",
"page": 266
},
{
"level": 3,
"title": "Comparing AdaBoost with gradient boosting",
"page": 266
},
{
"level": 3,
"title": "Outlining the general gradient boosting algorithm",
"page": 266
},
{
"level": 3,
"title": "Explaining the gradient boosting algorithm for classification",
"page": 268
},
{
"level": 3,
"title": "Illustrating gradient boosting for classification",
"page": 270
},
{
"level": 3,
"title": "Using XGBoost",
"page": 272
},
{
"level": 2,
"title": "Summary",
"page": 274
},
{
"level": 1,
"title": "Chapter 8: Applying Machine Learning to Sentiment Analysis",
"page": 276
},
{
"level": 2,
"title": "Preparing the IMDb movie review data for text processing",
"page": 276
},
{
"level": 3,
"title": "Obtaining the movie review dataset",
"page": 277
},
{
"level": 3,
"title": "Preprocessing the movie dataset into a more convenient format",
"page": 277
},
{
"level": 2,
"title": "Introducing the bag-of-words model",
"page": 279
},
{
"level": 3,
"title": "Transforming words into feature vectors",
"page": 279
},
{
"level": 3,
"title": "Assessing word relevancy via term frequency-inverse document frequency",
"page": 281
},
{
"level": 3,
"title": "Cleaning text data",
"page": 283
},
{
"level": 3,
"title": "Processing documents into tokens",
"page": 285
},
{
"level": 2,
"title": "Training a logistic regression model for document classification",
"page": 287
},
{
"level": 2,
"title": "Working with bigger data – online algorithms and out-of-core learning",
"page": 289
},
{
"level": 2,
"title": "Topic modeling with latent Dirichlet allocation",
"page": 293
},
{
"level": 3,
"title": "Decomposing text documents with LDA",
"page": 293
},
{
"level": 3,
"title": "LDA with scikit-learn",
"page": 294
},
{
"level": 2,
"title": "Summary",
"page": 297
},
{
"level": 1,
"title": "Chapter 9: Predicting Continuous Target Variables with Regression Analysis",
"page": 298
},
{
"level": 2,
"title": "Introducing linear regression",
"page": 298
},
{
"level": 3,
"title": "Simple linear regression",
"page": 299
},
{
"level": 3,
"title": "Multiple linear regression",
"page": 300
},
{
"level": 2,
"title": "Exploring the Ames Housing dataset",
"page": 301
},
{
"level": 3,
"title": "Loading the Ames Housing dataset into a DataFrame",
"page": 301
},
{
"level": 3,
"title": "Visualizing the important characteristics of a dataset",
"page": 303
},
{
"level": 3,
"title": "Looking at relationships using a correlation matrix",
"page": 305
},
{
"level": 2,
"title": "Implementing an ordinary least squares linear regression model",
"page": 307
},
{
"level": 3,
"title": "Solving regression for regression parameters with gradient descent",
"page": 307
},
{
"level": 3,
"title": "Estimating the coefficient of a regression model via scikit-learn",
"page": 312
},
{
"level": 2,
"title": "Fitting a robust regression model using RANSAC",
"page": 314
},
{
"level": 2,
"title": "Evaluating the performance of linear regression models",
"page": 317
},
{
"level": 2,
"title": "Using regularized methods for regression",
"page": 321
},
{
"level": 2,
"title": "Turning a linear regression model into a curve – polynomial regression",
"page": 323
},
{
"level": 3,
"title": "Adding polynomial terms using scikit-learn",
"page": 323
},
{
"level": 3,
"title": "Modeling nonlinear relationships in the Ames Housing dataset",
"page": 326
},
{
"level": 2,
"title": "Dealing with nonlinear relationships using random forests",
"page": 328
},
{
"level": 3,
"title": "Decision tree regression",
"page": 329
},
{
"level": 3,
"title": "Random forest regression",
"page": 330
},
{
"level": 2,
"title": "Summary",
"page": 333
},
{
"level": 1,
"title": "Chapter 10: Working with Unlabeled Data – Clustering Analysis",
"page": 334
},
{
"level": 2,
"title": "Grouping objects by similarity using k-means",
"page": 334
},
{
"level": 3,
"title": "k-means clustering using scikit-learn",
"page": 334
},
{
"level": 3,
"title": "A smarter way of placing the initial cluster centroids using k-means++",
"page": 339
},
{
"level": 3,
"title": "Hard versus soft clustering",
"page": 340
},
{
"level": 3,
"title": "Using the elbow method to find the optimal number of clusters",
"page": 342
},
{
"level": 3,
"title": "Quantifying the quality of clustering via silhouette plots",
"page": 343
},
{
"level": 2,
"title": "Organizing clusters as a hierarchical tree",
"page": 348
},
{
"level": 3,
"title": "Grouping clusters in a bottom-up fashion",
"page": 349
},
{
"level": 3,
"title": "Performing hierarchical clustering on a distance matrix",
"page": 350
},
{
"level": 3,
"title": "Attaching dendrograms to a heat map",
"page": 354
},
{
"level": 3,
"title": "Applying agglomerative clustering via scikit-learn",
"page": 356
},
{
"level": 2,
"title": "Locating regions of high density via DBSCAN",
"page": 357
},
{
"level": 2,
"title": "Summary",
"page": 363
},
{
"level": 1,
"title": "Chapter 11: Implementing a Multilayer Artificial Neural Network from Scratch",
"page": 364
},
{
"level": 2,
"title": "Modeling complex functions with artificial neural networks",
"page": 364
},
{
"level": 3,
"title": "Single-layer neural network recap",
"page": 366
},
{
"level": 3,
"title": "Introducing the multilayer neural network architecture",
"page": 367
},
{
"level": 3,
"title": "Activating a neural network via forward propagation",
"page": 369
},
{
"level": 2,
"title": "Classifying handwritten digits",
"page": 372
},
{
"level": 3,
"title": "Obtaining and preparing the MNIST dataset",
"page": 372
},
{
"level": 3,
"title": "Implementing a multilayer perceptron",
"page": 376
},
{
"level": 3,
"title": "Coding the neural network training loop",
"page": 381
},
{
"level": 3,
"title": "Evaluating the neural network performance",
"page": 386
},
{
"level": 2,
"title": "Training an artificial neural network",
"page": 389
},
{
"level": 3,
"title": "Computing the loss function",
"page": 389
},
{
"level": 3,
"title": "Developing your understanding of backpropagation",
"page": 391
},
{
"level": 3,
"title": "Training neural networks via backpropagation",
"page": 392
},
{
"level": 2,
"title": "About convergence in neural networks",
"page": 396
},
{
"level": 2,
"title": "A few last words about the neural network implementation",
"page": 397
},
{
"level": 2,
"title": "Summary",
"page": 397
},
{
"level": 1,
"title": "Chapter 12: Parallelizing Neural Network Training with PyTorch",
"page": 398
},
{
"level": 2,
"title": "PyTorch and training performance",
"page": 398
},
{
"level": 3,
"title": "Performance challenges",
"page": 398
},
{
"level": 3,
"title": "What is PyTorch?",
"page": 400
},
{
"level": 3,
"title": "How we will learn PyTorch",
"page": 401
},
{
"level": 2,
"title": "First steps with PyTorch",
"page": 401
},
{
"level": 3,
"title": "Installing PyTorch",
"page": 401
},
{
"level": 3,
"title": "Creating tensors in PyTorch",
"page": 402
},
{
"level": 3,
"title": "Manipulating the data type and shape of a tensor",
"page": 403
},
{
"level": 3,
"title": "Applying mathematical operations to tensors",
"page": 404
},
{
"level": 3,
"title": "Split, stack, and concatenate tensors",
"page": 405
},
{
"level": 2,
"title": "Building input pipelines in PyTorch",
"page": 407
},
{
"level": 3,
"title": "Creating a PyTorch DataLoader from existing tensors",
"page": 407
},
{
"level": 3,
"title": "Combining two tensors into a joint dataset",
"page": 408
},
{
"level": 3,
"title": "Shuffle, batch, and repeat",
"page": 409
},
{
"level": 3,
"title": "Creating a dataset from files on your local storage disk",
"page": 411
},
{
"level": 3,
"title": "Fetching available datasets from the torchvision.datasets library",
"page": 415
},
{
"level": 2,
"title": "Building an NN model in PyTorch",
"page": 418
},
{
"level": 3,
"title": "The PyTorch neural network module (torch.nn)",
"page": 419
},
{
"level": 3,
"title": "Building a linear regression model",
"page": 419
},
{
"level": 3,
"title": "Model training via the torch.nn and torch.optim modules",
"page": 423
},
{
"level": 3,
"title": "Building a multilayer perceptron for classifying flowers in the Iris dataset",
"page": 424
},
{
"level": 3,
"title": "Evaluating the trained model on the test dataset",
"page": 427
},
{
"level": 3,
"title": "Saving and reloading the trained model",
"page": 428
},
{
"level": 2,
"title": "Choosing activation functions for multilayer neural networks",
"page": 429
},
{
"level": 3,
"title": "Logistic function recap",
"page": 429
},
{
"level": 3,
"title": "Estimating class probabilities in multiclass classification via the softmax function",
"page": 431
},
{
"level": 3,
"title": "Broadening the output spectrum using a hyperbolic tangent",
"page": 432
},
{
"level": 3,
"title": "Rectified linear unit activation",
"page": 434
},
{
"level": 2,
"title": "Summary",
"page": 435
},
{
"level": 1,
"title": "Chapter 13: Going Deeper – The Mechanics of PyTorch",
"page": 438
},
{
"level": 2,
"title": "The key features of PyTorch",
"page": 439
},
{
"level": 2,
"title": "PyTorch’s computation graphs",
"page": 439
},
{
"level": 3,
"title": "Understanding computation graphs",
"page": 439
},
{
"level": 3,
"title": "Creating a graph in PyTorch",
"page": 440
},
{
"level": 2,
"title": "PyTorch tensor objects for storing and updating model parameters",
"page": 441
},
{
"level": 2,
"title": "Computing gradients via automatic differentiation",
"page": 444
},
{
"level": 3,
"title": "Computing the gradients of the loss with respect to trainable variables",
"page": 444
},
{
"level": 3,
"title": "Understanding automatic differentiation",
"page": 445
},
{
"level": 3,
"title": "Adversarial examples",
"page": 445
},
{
"level": 2,
"title": "Simplifying implementations of common architectures via the torch.nn module",
"page": 446
},
{
"level": 3,
"title": "Implementing models based on nn.Sequential",
"page": 446
},
{
"level": 3,
"title": "Choosing a loss function",
"page": 447
},
{
"level": 3,
"title": "Solving an XOR classification problem",
"page": 448
},
{
"level": 3,
"title": "Making model building more flexible with nn.Module",
"page": 453
},
{
"level": 3,
"title": "Writing custom layers in PyTorch",
"page": 455
},
{
"level": 2,
"title": "Project one – predicting the fuel efficiency of a car",
"page": 460
},
{
"level": 3,
"title": "Working with feature columns",
"page": 460
},
{
"level": 3,
"title": "Training a DNN regression model",
"page": 464
},
{
"level": 2,
"title": "Project two – classifying MNIST handwritten digits",
"page": 465
},
{
"level": 2,
"title": "Higher-level PyTorch APIs: a short introduction to PyTorch-Lightning",
"page": 468
},
{
"level": 3,
"title": "Setting up the PyTorch Lightning model",
"page": 469
},
{
"level": 3,
"title": "Setting up the data loaders for Lightning",
"page": 472
},
{
"level": 3,
"title": "Training the model using the PyTorch Lightning Trainer class",
"page": 473
},
{
"level": 3,
"title": "Evaluating the model using TensorBoard",
"page": 474
},
{
"level": 2,
"title": "Summary",
"page": 478
},
{
"level": 1,
"title": "Chapter 14: Classifying Images with Deep Convolutional Neural Networks",
"page": 480
},
{
"level": 2,
"title": "The building blocks of CNNs",
"page": 480
},
{
"level": 3,
"title": "Understanding CNNs and feature hierarchies",
"page": 481
},
{
"level": 3,
"title": "Performing discrete convolutions",
"page": 483
},
{
"level": 4,
"title": "Discrete convolutions in one dimension",
"page": 483
},
{
"level": 4,
"title": "Padding inputs to control the size of the output feature maps",
"page": 486
},
{
"level": 4,
"title": "Determining the size of the convolution output",
"page": 487
},
{
"level": 4,
"title": "Performing a discrete convolution in 2D",
"page": 488
},
{
"level": 3,
"title": "Subsampling layers",
"page": 492
},
{
"level": 2,
"title": "Putting everything together – implementing a CNN",
"page": 493
},
{
"level": 3,
"title": "Working with multiple input or color channels",
"page": 493
},
{
"level": 3,
"title": "Regularizing an NN with L2 regularization and dropout",
"page": 496
},
{
"level": 3,
"title": "Loss functions for classification",
"page": 500
},
{
"level": 2,
"title": "Implementing a deep CNN using PyTorch",
"page": 502
},
{
"level": 3,
"title": "The multilayer CNN architecture",
"page": 502
},
{
"level": 3,
"title": "Loading and preprocessing the data",
"page": 503
},
{
"level": 3,
"title": "Implementing a CNN using the torch.nn module",
"page": 505
},
{
"level": 4,
"title": "Configuring CNN layers in PyTorch",
"page": 505
},
{
"level": 4,
"title": "Constructing a CNN in PyTorch",
"page": 506
},
{
"level": 2,
"title": "Smile classification from face images using a CNN",
"page": 511
},
{
"level": 3,
"title": "Loading the CelebA dataset",
"page": 512
},
{
"level": 3,
"title": "Image transformation and data augmentation",
"page": 513
},
{
"level": 3,
"title": "Training a CNN smile classifier",
"page": 519
},
{
"level": 2,
"title": "Summary",
"page": 526
},
{
"level": 1,
"title": "Chapter 15: Modeling Sequential Data Using Recurrent Neural Networks",
"page": 528
},
{
"level": 2,
"title": "Introducing sequential data",
"page": 528
},
{
"level": 3,
"title": "Modeling sequential data – order matters",
"page": 529
},
{
"level": 3,
"title": "Sequential data versus time series data",
"page": 529
},
{
"level": 3,
"title": "Representing sequences",
"page": 529
},
{
"level": 3,
"title": "The different categories of sequence modeling",
"page": 530
},
{
"level": 2,
"title": "RNNs for modeling sequences",
"page": 531
},
{
"level": 3,
"title": "Understanding the dataflow in RNNs",
"page": 531
},
{
"level": 3,
"title": "Computing activations in an RNN",
"page": 533
},
{
"level": 3,
"title": "Hidden recurrence versus output recurrence",
"page": 535
},
{
"level": 3,
"title": "The challenges of learning long-range interactions",
"page": 538
},
{
"level": 3,
"title": "Long short-term memory cells",
"page": 540
},
{
"level": 2,
"title": "Implementing RNNs for sequence modeling in PyTorch",
"page": 542
},
{
"level": 3,
"title": "Project one – predicting the sentiment of IMDb movie reviews",
"page": 542
},
{
"level": 4,
"title": "Preparing the movie review data",
"page": 542
},
{
"level": 4,
"title": "Embedding layers for sentence encoding",
"page": 546
},
{
"level": 4,
"title": "Building an RNN model",
"page": 549
},
{
"level": 4,
"title": "Building an RNN model for the sentiment analysis task",
"page": 550
},
{
"level": 3,
"title": "Project two – character-level language modeling in PyTorch",
"page": 554
},
{
"level": 4,
"title": "Preprocessing the dataset",
"page": 555
},
{
"level": 4,
"title": "Building a character-level RNN model",
"page": 560
},
{
"level": 4,
"title": "Evaluation phase – generating new text passages",
"page": 562
},
{
"level": 2,
"title": "Summary",
"page": 566
},
{
"level": 1,
"title": "Chapter 16: Transformers – Improving Natural Language Processing with Attention Mechanisms",
"page": 568
},
{
"level": 2,
"title": "Adding an attention mechanism to RNNs",
"page": 569
},
{
"level": 3,
"title": "Attention helps RNNs with accessing information",
"page": 569
},
{
"level": 3,
"title": "The original attention mechanism for RNNs",
"page": 571
},
{
"level": 3,
"title": "Processing the inputs using a bidirectional RNN",
"page": 572
},
{
"level": 3,
"title": "Generating outputs from context vectors",
"page": 572
},
{
"level": 3,
"title": "Computing the attention weights",
"page": 573
},
{
"level": 2,
"title": "Introducing the self-attention mechanism",
"page": 573
},
{
"level": 3,
"title": "Starting with a basic form of self-attention",
"page": 574
},
{
"level": 3,
"title": "Parameterizing the self-attention mechanism: scaled dot-product attention",
"page": 578
},
{
"level": 2,
"title": "Attention is all we need: introducing the original transformer architecture",
"page": 581
},
{
"level": 3,
"title": "Encoding context embeddings via multi-head attention",
"page": 583
},
{
"level": 3,
"title": "Learning a language model: decoder and masked multi-head attention",
"page": 587
},
{
"level": 3,
"title": "Implementation details: positional encodings and layer normalization",
"page": 588
},
{
"level": 2,
"title": "Building large-scale language models by leveraging unlabeled data",
"page": 590
},
{
"level": 3,
"title": "Pre-training and fine-tuning transformer models",
"page": 590
},
{
"level": 3,
"title": "Leveraging unlabeled data with GPT",
"page": 592
},
{
"level": 3,
"title": "Using GPT-2 to generate new text",
"page": 595
},
{
"level": 3,
"title": "Bidirectional pre-training with BERT",
"page": 598
},
{
"level": 3,
"title": "The best of both worlds: BART",
"page": 601
},
{
"level": 2,
"title": "Fine-tuning a BERT model in PyTorch",
"page": 603
},
{
"level": 3,
"title": "Loading the IMDb movie review dataset",
"page": 604
},
{
"level": 3,
"title": "Tokenizing the dataset",
"page": 606
},
{
"level": 3,
"title": "Loading and fine-tuning a pre-trained BERT model",
"page": 607
},
{
"level": 3,
"title": "Fine-tuning a transformer more conveniently using the Trainer API",
"page": 611
},
{
"level": 2,
"title": "Summary",
"page": 615
},
{
"level": 1,
"title": "Chapter 17: Generative Adversarial Networks for Synthesizing New Data",
"page": 618
},
{
"level": 2,
"title": "Introducing generative adversarial networks",
"page": 618
},
{
"level": 3,
"title": "Starting with autoencoders",
"page": 619
},
{
"level": 3,
"title": "Generative models for synthesizing new data",
"page": 621
},
{
"level": 3,
"title": "Generating new samples with GANs",
"page": 622
},
{
"level": 3,
"title": "Understanding the loss functions of the generator and discriminator networks in a GAN model",
"page": 623
},
{
"level": 2,
"title": "Implementing a GAN from scratch",
"page": 625
},
{
"level": 3,
"title": "Training GAN models on Google Colab",
"page": 625
},
{
"level": 3,
"title": "Implementing the generator and the discriminator networks",
"page": 629
},
{
"level": 3,
"title": "Defining the training dataset",
"page": 633
},
{
"level": 3,
"title": "Training the GAN model",
"page": 634
},
{
"level": 2,
"title": "Improving the quality of synthesized images using a convolutional and Wasserstein GAN",
"page": 641
},
{
"level": 3,
"title": "Transposed convolution",
"page": 641
},
{
"level": 3,
"title": "Batch normalization",
"page": 643
},
{
"level": 3,
"title": "Implementing the generator and discriminator",
"page": 645
},
{
"level": 3,
"title": "Dissimilarity measures between two distributions",
"page": 653
},
{
"level": 3,
"title": "Using EM distance in practice for GANs",
"page": 656
},
{
"level": 3,
"title": "Gradient penalty",
"page": 657
},
{
"level": 3,
"title": "Implementing WGAN-GP to train the DCGAN model",
"page": 658
},
{
"level": 3,
"title": "Mode collapse",
"page": 662
},
{
"level": 2,
"title": "Other GAN applications",
"page": 664
},
{
"level": 2,
"title": "Summary",
"page": 664
},
{
"level": 1,
"title": "Chapter 18: Graph Neural Networks for Capturing Dependencies in Graph Structured Data",
"page": 666
},
{
"level": 2,
"title": "Introduction to graph data",
"page": 667
},
{
"level": 3,
"title": "Undirected graphs",
"page": 667
},
{
"level": 3,
"title": "Directed graphs",
"page": 668
},
{
"level": 3,
"title": "Labeled graphs",
"page": 669
},
{
"level": 3,
"title": "Representing molecules as graphs",
"page": 669
},
{
"level": 2,
"title": "Understanding graph convolutions",
"page": 670
},
{
"level": 3,
"title": "The motivation behind using graph convolutions",
"page": 670
},
{
"level": 3,
"title": "Implementing a basic graph convolution",
"page": 673
},
{
"level": 2,
"title": "Implementing a GNN in PyTorch from scratch",
"page": 677
},
{
"level": 3,
"title": "Defining the NodeNetwork model",
"page": 678
},
{
"level": 3,
"title": "Coding the NodeNetwork’s graph convolution layer",
"page": 679
},
{
"level": 3,
"title": "Adding a global pooling layer to deal with varying graph sizes",
"page": 681
},
{
"level": 3,
"title": "Preparing the DataLoader",
"page": 684
},
{
"level": 3,
"title": "Using the NodeNetwork to make predictions",
"page": 687
},
{
"level": 2,
"title": "Implementing a GNN using the PyTorch Geometric library",
"page": 688
},
{
"level": 2,
"title": "Other GNN layers and recent developments",
"page": 694
},
{
"level": 3,
"title": "Spectral graph convolutions",
"page": 694
},
{
"level": 3,
"title": "Pooling",
"page": 696
},
{
"level": 3,
"title": "Normalization",
"page": 697
},
{
"level": 3,
"title": "Pointers to advanced graph neural network literature",
"page": 698
},
{
"level": 2,
"title": "Summary",
"page": 700
},
{
"level": 1,
"title": "Chapter 19: Reinforcement Learning for Decision Making in Complex Environments",
"page": 702
},
{
"level": 2,
"title": "Introduction – learning from experience",
"page": 703
},
{
"level": 3,
"title": "Understanding reinforcement learning",
"page": 703
},
{
"level": 3,
"title": "Defining the agent-environment interface of a reinforcement learning system",
"page": 704
},
{
"level": 2,
"title": "The theoretical foundations of RL",
"page": 705
},
{
"level": 3,
"title": "Markov decision processes",
"page": 706
},
{
"level": 4,
"title": "The mathematical formulation of Markov decision processes",
"page": 706
},
{
"level": 4,
"title": "Visualization of a Markov process",
"page": 708
},
{
"level": 3,
"title": "Episodic versus continuing tasks",
"page": 708
},
{
"level": 3,
"title": "RL terminology: return, policy, and value function",
"page": 709
},
{
"level": 4,
"title": "The return",
"page": 709
},
{
"level": 4,
"title": "Policy",
"page": 711
},
{
"level": 4,
"title": "Value function",
"page": 711
},
{
"level": 3,
"title": "Dynamic programming using the Bellman equation",
"page": 713
},
{
"level": 2,
"title": "Reinforcement learning algorithms",
"page": 713
},
{
"level": 3,
"title": "Dynamic programming",
"page": 714
},
{
"level": 4,
"title": "Policy evaluation – predicting the value function with dynamic programming",
"page": 715
},
{
"level": 4,
"title": "Improving the policy using the estimated value function",
"page": 715
},
{
"level": 4,
"title": "Policy iteration",
"page": 716
},
{
"level": 4,
"title": "Value iteration",
"page": 716
},
{
"level": 3,
"title": "Reinforcement learning with Monte Carlo",
"page": 716
},
{
"level": 4,
"title": "State-value function estimation using MC",
"page": 717
},
{
"level": 4,
"title": "Action-value function estimation using MC",
"page": 717
},
{
"level": 4,
"title": "Finding an optimal policy using MC control",
"page": 717
},
{
"level": 4,
"title": "Policy improvement – computing the greedy policy from the action-value function",
"page": 718
},
{
"level": 3,
"title": "Temporal difference learning",
"page": 718
},
{
"level": 4,
"title": "TD prediction",
"page": 718
},
{
"level": 4,
"title": "On-policy TD control (SARSA)",
"page": 720
},
{
"level": 4,
"title": "Off-policy TD control (Q-learning)",
"page": 720
},
{
"level": 2,
"title": "Implementing our first RL algorithm",
"page": 720
},
{
"level": 3,
"title": "Introducing the OpenAI Gym toolkit",
"page": 721
},
{
"level": 4,
"title": "Working with the existing environments in OpenAI Gym",
"page": 721
},
{
"level": 4,
"title": "A grid world example",
"page": 723
},
{
"level": 4,
"title": "Implementing the grid world environment in OpenAI Gym",
"page": 723
},
{
"level": 3,
"title": "Solving the grid world problem with Q-learning",
"page": 730
},
{
"level": 2,
"title": "A glance at deep Q-learning",
"page": 735
},
{
"level": 3,
"title": "Training a DQN model according to the Q-learning algorithm",
"page": 735
},
{
"level": 4,
"title": "Replay memory",
"page": 736
},
{
"level": 4,
"title": "Determining the target values for computing the loss",
"page": 737
},
{
"level": 3,
"title": "Implementing a deep Q-learning algorithm",
"page": 739
},
{
"level": 2,
"title": "Chapter and book summary",
"page": 743
},
{
"level": 1,
"title": "Other Books You May Enjoy",
"page": 748
},
{
"level": 1,
"title": "Index",
"page": 752
}
]
},
{
"id": "deep_learning_with_python_francois_chollet",
"title": "Deep Learning with Python",
"author": "François Chollet",
"totalPages": 493,
"fileSize": 13329442,
"pdfUrl": "data/pdfs/deep_learning_with_python_francois_chollet.pdf",
"coverUrl": "data/covers/deep_learning_with_python_francois_chollet.jpg",
"layoutUrl": "data/layouts/deep_learning_with_python_francois_chollet.json",
"category": "Machine Learning",
"tags": [
"Deep Learning",
"Python",
"Keras",
"Neural Networks"
],
"toc": [
{
"level": 1,
"title": "Copyright",
"page": 3
},
{
"level": 1,
"title": "Brief Table of Contents",
"page": 5
},
{
"level": 1,
"title": "Table of Contents",
"page": 7
},
{
"level": 1,
"title": "Preface",
"page": 18
},
{
"level": 1,
"title": "Acknowledgments",
"page": 20
},
{
"level": 1,
"title": "About this Book",
"page": 22
},
{
"level": 1,
"title": "About the Author",
"page": 26
},
{
"level": 1,
"title": "About the Cover",
"page": 27
},
{
"level": 1,
"title": "Part 1. Fundamentals of deep learning",
"page": 28
},
{
"level": 2,
"title": "Chapter 1. What is deep learning?",
"page": 29
},
{
"level": 2,
"title": "Chapter 2. Before we begin: the mathematical building blocks of neural networks",
"page": 58
},
{
"level": 2,
"title": "Chapter 3. Getting started with neural networks",
"page": 94
},
{
"level": 2,
"title": "Chapter 4. Fundamentals of machine learning",
"page": 139
},
{
"level": 1,
"title": "Part 2. Deep learning in practice",
"page": 170
},
{
"level": 2,
"title": "Chapter 5. Deep learning for computer vision",
"page": 171
},
{
"level": 2,
"title": "Chapter 6. Deep learning for text and sequences",
"page": 238
},
{
"level": 2,
"title": "Chapter 7. Advanced deep-learning best practices",
"page": 305
},
{
"level": 2,
"title": "Chapter 8. Generative deep learning",
"page": 351
},
{
"level": 2,
"title": "Chapter 9. Conclusions",
"page": 411
},
{
"level": 1,
"title": "Appendix A. Installing Keras and its dependencies on Ubuntu",
"page": 440
},
{
"level": 1,
"title": "Appendix B. Running Jupyter notebooks on an EC2 GPU instance",
"page": 445
},
{
"level": 1,
"title": "Index",
"page": 453
},
{
"level": 1,
"title": "List of Figures",
"page": 476
},
{
"level": 1,
"title": "List of Tables",
"page": 485
},
{
"level": 1,
"title": "List of Listings",
"page": 486
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"title": "The Hundred-Page Machine Learning Book",
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"title": "Understanding Deep Learning",
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"page": 679
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"title": "Index",
"page": 746
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]
}
]