Datasets:
Sync 25 books across Trading and Machine Learning categories with vector OCR layouts
4e9fe34 verified | [ | |
| { | |
| "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", | |
| "coverUrl": "data/covers/fa_kathylein_day_trading_and_swing_trading_the_currency_mark.jpg", | |
| "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", | |
| "totalPages": 256, | |
| "fileSize": 9499083, | |
| "pdfUrl": "data/pdfs/quantitative_trading_ernest_p_chan_z_library_sk_1lib_sk_z_li.pdf", | |
| "coverUrl": "data/covers/quantitative_trading_ernest_p_chan_z_library_sk_1lib_sk_z_li.jpg", | |
| "layoutUrl": "data/layouts/quantitative_trading_ernest_p_chan_z_library_sk_1lib_sk_z_li.json", | |
| "toc": [ | |
| { | |
| "level": 1, | |
| "title": "Cover", | |
| "page": 1 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "Title Page", | |
| "page": 5 | |
| }, | |
| { | |
| "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" | |
| ] | |
| }, | |
| { | |
| "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, | |
| "fileSize": 3244460, | |
| "pdfUrl": "data/pdfs/study_guide_for_the_new_trading_for_a_living_alexander_elder.pdf", | |
| "coverUrl": "data/covers/study_guide_for_the_new_trading_for_a_living_alexander_elder.jpg", | |
| "layoutUrl": "data/layouts/study_guide_for_the_new_trading_for_a_living_alexander_elder.json", | |
| "toc": [ | |
| { | |
| "level": 1, | |
| "title": "Study Guide for The New Trading for a Living", | |
| "page": 3 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "CONTENTS", | |
| "page": 7 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "ABOUT THIS STUDY GUIDE", | |
| "page": 9 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "PART 1 Questions and Rating Scales", | |
| "page": 13 | |
| }, | |
| { | |
| "level": 2, | |
| "title": "Introduction", | |
| "page": 15 | |
| }, | |
| { | |
| "level": 2, | |
| "title": "ONE Individual Psychology", | |
| "page": 19 | |
| }, | |
| { | |
| "level": 2, | |
| "title": "TWO Mass Psychology", | |
| "page": 25 | |
| }, | |
| { | |
| "level": 2, | |
| "title": "THREE Classical Chart Analysis", | |
| "page": 31 | |
| }, | |
| { | |
| "level": 2, | |
| "title": "FOUR Computerized Technical Analysis", | |
| "page": 39 | |
| }, | |
| { | |
| "level": 2, | |
| "title": "FIVE Volume and Time", | |
| "page": 49 | |
| }, | |
| { | |
| "level": 2, | |
| "title": "SIX General Market Indicators", | |
| "page": 61 | |
| }, | |
| { | |
| "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 | |
| }, | |
| { | |
| "level": 2, | |
| "title": "Introduction", | |
| "page": 103 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "Rating Yourself", | |
| "page": 105 | |
| }, | |
| { | |
| "level": 2, | |
| "title": "ONE Individual Psychology", | |
| "page": 107 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "Rating Yourself", | |
| "page": 110 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "Recommended Reading", | |
| "page": 110 | |
| }, | |
| { | |
| "level": 2, | |
| "title": "TWO Mass Psychology", | |
| "page": 111 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "Rating Yourself", | |
| "page": 114 | |
| }, | |
| { | |
| "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", | |
| "layoutUrl": "data/layouts/the_new_trading_for_a_living.json", | |
| "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" | |
| ] | |
| }, | |
| { | |
| "id": "the_art_and_science_of_trading_course_workbook_adam_grimes", | |
| "title": "The Art and Science of Trading - Course Workbook", | |
| "author": "Adam Grimes", | |
| "totalPages": 590, | |
| "fileSize": 16300880, | |
| "pdfUrl": "data/pdfs/the_art_and_science_of_trading_course_workbook_adam_grimes.pdf", | |
| "coverUrl": "data/covers/the_art_and_science_of_trading_course_workbook_adam_grimes.jpg", | |
| "layoutUrl": "data/layouts/the_art_and_science_of_trading_course_workbook_adam_grimes.json", | |
| "toc": [ | |
| { | |
| "level": 1, | |
| "title": "Frontmatter", | |
| "page": 2 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "1: Chartreading 101", | |
| "page": 14 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "2: Chartreading, Going Deeper", | |
| "page": 75 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "3: Market Structure & Price Action", | |
| "page": 104 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "4: Pullback", | |
| "page": 156 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "5: Anti", | |
| "page": 182 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "6: Failure Test", | |
| "page": 209 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "7: Breakout", | |
| "page": 275 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "8: Pattern Failure", | |
| "page": 312 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "9: Practical Trading Psychology", | |
| "page": 333 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "10: Academic Theories of Market Behavior", | |
| "page": 385 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "11: Tools for Quantitative Analysis of Market Data", | |
| "page": 412 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "12: Test Universe & Methodology", | |
| "page": 455 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "13: Fibonacci Retracements", | |
| "page": 473 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "14: Moving Averages", | |
| "page": 492 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "15: The Opening Range Phenomenon", | |
| "page": 533 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "16: Quantitative Evidence of the Two Forces", | |
| "page": 546 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "Backmatter", | |
| "page": 584 | |
| } | |
| ], | |
| "category": "Trading", | |
| "tags": [ | |
| "Price Action", | |
| "Workbook", | |
| "Technical Analysis" | |
| ] | |
| }, | |
| { | |
| "id": "the_candlestick_course_steve_nison", | |
| "title": "The Candlestick Course", | |
| "author": "Steve Nison", | |
| "totalPages": 225, | |
| "fileSize": 19529776, | |
| "pdfUrl": "data/pdfs/the_candlestick_course_steve_nison.pdf", | |
| "coverUrl": "data/covers/the_candlestick_course_steve_nison.jpg", | |
| "layoutUrl": "data/layouts/the_candlestick_course_steve_nison.json", | |
| "toc": [ | |
| { | |
| "level": 1, | |
| "title": "Cover Book", | |
| "page": 1 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "Copyright", | |
| "page": 4 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "Contents", | |
| "page": 5 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "Foreword", | |
| "page": 7 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "About the Author", | |
| "page": 10 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "Introduction", | |
| "page": 11 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "CHAPTER ONE - The Essentials", | |
| "page": 14 | |
| }, | |
| { | |
| "level": 2, | |
| "title": "Section One - Candlestick Overview: Origins and Basic Applications", | |
| "page": 14 | |
| }, | |
| { | |
| "level": 2, | |
| "title": "Section Two - Candlestick Construction", | |
| "page": 21 | |
| }, | |
| { | |
| "level": 2, | |
| "title": "Section Three - Basic Market Strategies", | |
| "page": 30 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "CHAPTER TWO - Single Candle Lines", | |
| "page": 37 | |
| }, | |
| { | |
| "level": 2, | |
| "title": "Section One - Spinning Tops and High Wave Candles", | |
| "page": 37 | |
| }, | |
| { | |
| "level": 2, | |
| "title": "Section Two - The Dangerous Doji", | |
| "page": 52 | |
| }, | |
| { | |
| "level": 2, | |
| "title": "Section Three - Long Real Bodies, the Consummate Storytellers", | |
| "page": 63 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "CHAPTER THREE - The Power of Candle Patterns", | |
| "page": 71 | |
| }, | |
| { | |
| "level": 2, | |
| "title": "Section One - Close Cousins: Piercing, Dark Cloud Covers, Engulfing and Counterattacks", | |
| "page": 71 | |
| }, | |
| { | |
| "level": 2, | |
| "title": "Section Two - The Harami and Harami Cross, Morning and Evening Stars", | |
| "page": 89 | |
| }, | |
| { | |
| "level": 2, | |
| "title": "Section Three - Picturesque Storytellers: Tweezers, Crows and Soldiers", | |
| "page": 99 | |
| }, | |
| { | |
| "level": 2, | |
| "title": "Section Four - Disjointed Candles: Rising and Falling Windows", | |
| "page": 110 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "CHAPTER FOUR - Taking Advantage of Market Opportunities", | |
| "page": 120 | |
| }, | |
| { | |
| "level": 2, | |
| "title": "Section One - Candle Chart Applications", | |
| "page": 122 | |
| }, | |
| { | |
| "level": 2, | |
| "title": "Section Two - Trading Guidelines", | |
| "page": 130 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "CHAPTER FIVE - Progressive Charting", | |
| "page": 132 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "CHAPTER SIX - Bringing It All Together: Real-World Charts", | |
| "page": 185 | |
| }, | |
| { | |
| "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 | |
| } | |
| ], | |
| "category": "Trading", | |
| "tags": [ | |
| "Candlesticks", | |
| "Chart Patterns", | |
| "Price Action" | |
| ] | |
| }, | |
| { | |
| "id": "the_art_and_science_of_technical_analysis_adam_grimes", | |
| "title": "The Art & Science of Technical Analysis", | |
| "author": "Adam Grimes", | |
| "totalPages": 663, | |
| "fileSize": 11147053, | |
| "pdfUrl": "data/pdfs/the_art_and_science_of_technical_analysis_adam_grimes.pdf", | |
| "coverUrl": "data/covers/the_art_and_science_of_technical_analysis_adam_grimes.jpg", | |
| "layoutUrl": "data/layouts/the_art_and_science_of_technical_analysis_adam_grimes.json", | |
| "toc": [ | |
| { | |
| "level": 1, | |
| "title": "Series", | |
| "page": 7 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "Title Page", | |
| "page": 8 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "Copyright", | |
| "page": 9 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "Dedication", | |
| "page": 11 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "Preface", | |
| "page": 12 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "Acknowledgments", | |
| "page": 17 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "Part I: The Foundation of Technical Analysis", | |
| "page": 19 | |
| }, | |
| { | |
| "level": 2, | |
| "title": "Chapter 1: The Trader’s Edge", | |
| "page": 20 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "DEFINING A TRADING EDGE", | |
| "page": 21 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "FINDING AND DEVELOPING YOUR EDGE", | |
| "page": 25 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "GENERAL PRINCIPLES OF CHART READING", | |
| "page": 27 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "INDICATORS", | |
| "page": 33 | |
| }, | |
| { | |
| "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 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "CHARTING BY HAND", | |
| "page": 57 | |
| }, | |
| { | |
| "level": 2, | |
| "title": "Chapter 2: The Market Cycle and the Four Trades", | |
| "page": 60 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "WYCKOFF’S MARKET CYCLE", | |
| "page": 61 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "THE FOUR TRADES", | |
| "page": 73 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "SUMMARY", | |
| "page": 80 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "Part II: Market Structure", | |
| "page": 82 | |
| }, | |
| { | |
| "level": 2, | |
| "title": "Chapter 3: On Trends", | |
| "page": 83 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "THE FUNDAMENTAL PATTERN", | |
| "page": 83 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "TREND STRUCTURE", | |
| "page": 87 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "A DEEPER LOOK AT PULLBACKS: THE QUINTESSENTIAL TREND TRADING PATTERN", | |
| "page": 104 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "TREND ANALYSIS", | |
| "page": 121 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "SUMMARY", | |
| "page": 145 | |
| }, | |
| { | |
| "level": 2, | |
| "title": "Chapter 4: On Trading Ranges", | |
| "page": 147 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "SUPPORT AND RESISTANCE", | |
| "page": 147 | |
| }, | |
| { | |
| "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 | |
| }, | |
| { | |
| "level": 2, | |
| "title": "CHAPTER 6: Practical Trading Templates", | |
| "page": 220 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "FAILURE TEST", | |
| "page": 221 | |
| }, | |
| { | |
| "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 | |
| }, | |
| { | |
| "level": 2, | |
| "title": "CHAPTER 7: Tools for Confirmation", | |
| "page": 278 | |
| }, | |
| { | |
| "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 | |
| }, | |
| { | |
| "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" | |
| ] | |
| }, | |
| { | |
| "id": "trade_your_way_to_financial_freedom_van_k_tharp", | |
| "title": "Trade Your Way to Financial Freedom", | |
| "author": "Van K. Tharp", | |
| "totalPages": 181, | |
| "fileSize": 3463257, | |
| "pdfUrl": "data/pdfs/trade_your_way_to_financial_freedom_van_k_tharp.pdf", | |
| "coverUrl": "data/covers/trade_your_way_to_financial_freedom_van_k_tharp.jpg", | |
| "layoutUrl": "data/layouts/trade_your_way_to_financial_freedom_van_k_tharp.json", | |
| "toc": [], | |
| "category": "Trading", | |
| "tags": [ | |
| "Psychology", | |
| "Position Sizing", | |
| "Risk Management" | |
| ] | |
| }, | |
| { | |
| "id": "trades_about_to_happen_david_h_weis", | |
| "title": "Trades About to Happen: A Modern Adaptation of the Wyckoff Method", | |
| "author": "David H. Weis", | |
| "totalPages": 258, | |
| "fileSize": 6556959, | |
| "pdfUrl": "data/pdfs/trades_about_to_happen_david_h_weis.pdf", | |
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| "layoutUrl": "data/layouts/trades_about_to_happen_david_h_weis.json", | |
| "toc": [ | |
| { | |
| "level": 1, | |
| "title": "Half Title", | |
| "page": 2 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "Series Page", | |
| "page": 3 | |
| }, | |
| { | |
| "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 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "Table of Contents", | |
| "page": 10 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "Foreword", | |
| "page": 12 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "Acknowledgments", | |
| "page": 14 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "Introduction", | |
| "page": 15 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "Chapter 1: Where to Find Trades", | |
| "page": 20 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "Chapter 2: Drawing Lines", | |
| "page": 23 | |
| }, | |
| { | |
| "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" | |
| ] | |
| }, | |
| { | |
| "id": "trading_systems_and_methods_website_perry_j_kaufman", | |
| "title": "Trading Systems and Methods", | |
| "author": "Perry J. Kaufman", | |
| "totalPages": 1232, | |
| "fileSize": 26731739, | |
| "pdfUrl": "data/pdfs/trading_systems_and_methods_website_perry_j_kaufman.pdf", | |
| "coverUrl": "data/covers/trading_systems_and_methods_website_perry_j_kaufman.jpg", | |
| "layoutUrl": "data/layouts/trading_systems_and_methods_website_perry_j_kaufman.json", | |
| "toc": [ | |
| { | |
| "level": 1, | |
| "title": "Trading Systems and Methods", | |
| "page": 3 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "Contents", | |
| "page": 9 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "Preface to the Fifth Edition", | |
| "page": 17 | |
| }, | |
| { | |
| "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" | |
| ] | |
| }, | |
| { | |
| "id": "trading_in_the_zone_mark_douglas", | |
| "title": "Trading in the Zone", | |
| "author": "Mark Douglas", | |
| "totalPages": 143, | |
| "fileSize": 750151, | |
| "pdfUrl": "data/pdfs/trading_in_the_zone_mark_douglas.pdf", | |
| "coverUrl": "data/covers/trading_in_the_zone_mark_douglas.jpg", | |
| "layoutUrl": "data/layouts/trading_in_the_zone_mark_douglas.json", | |
| "toc": [], | |
| "category": "Trading", | |
| "tags": [ | |
| "Psychology", | |
| "Mindset", | |
| "Discipline" | |
| ] | |
| }, | |
| { | |
| "id": "steve_nison_japanese_candlestick_charting_techniquespdf_pdf_", | |
| "title": "Japanese Candlestick Charting Techniques", | |
| "author": "Steve Nison", | |
| "totalPages": 71, | |
| "fileSize": 5178349, | |
| "pdfUrl": "data/pdfs/steve_nison_japanese_candlestick_charting_techniquespdf_pdf_.pdf", | |
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| "layoutUrl": "data/layouts/steve_nison_japanese_candlestick_charting_techniquespdf_pdf_.json", | |
| "toc": [], | |
| "category": "Trading", | |
| "tags": [ | |
| "Candlesticks", | |
| "Price Action", | |
| "Classic" | |
| ] | |
| }, | |
| { | |
| "id": "study_guide_for_technical_analysis_of_the_financial_markets", | |
| "title": "Study Guide for Technical Analysis of the Financial Markets", | |
| "author": "John J. Murphy", | |
| "totalPages": 83, | |
| "fileSize": 3041506, | |
| "pdfUrl": "data/pdfs/study_guide_for_technical_analysis_of_the_financial_markets.pdf", | |
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| "layoutUrl": "data/layouts/study_guide_for_technical_analysis_of_the_financial_markets.json", | |
| "toc": [], | |
| "category": "Trading", | |
| "tags": [ | |
| "Study Guide", | |
| "Technical Analysis", | |
| "Exercises" | |
| ] | |
| }, | |
| { | |
| "id": "designing_machine_learning_systems_chip_huyen", | |
| "title": "Designing Machine Learning Systems", | |
| "author": "Chip Huyen", | |
| "totalPages": 461, | |
| "fileSize": 10003687, | |
| "pdfUrl": "data/pdfs/designing_machine_learning_systems_chip_huyen.pdf", | |
| "coverUrl": "data/covers/designing_machine_learning_systems_chip_huyen.jpg", | |
| "layoutUrl": "data/layouts/designing_machine_learning_systems_chip_huyen.json", | |
| "category": "Machine Learning", | |
| "tags": [ | |
| "Machine Learning", | |
| "System Design", | |
| "MLOps" | |
| ], | |
| "toc": [ | |
| { | |
| "level": 1, | |
| "title": "Preface", | |
| "page": 7 | |
| }, | |
| { | |
| "level": 2, | |
| "title": "Who This Book Is For", | |
| "page": 8 | |
| }, | |
| { | |
| "level": 2, | |
| "title": "What This Book Is Not", | |
| "page": 10 | |
| }, | |
| { | |
| "level": 2, | |
| "title": "Navigating This Book", | |
| "page": 12 | |
| }, | |
| { | |
| "level": 2, | |
| "title": "GitHub Repository and Community", | |
| "page": 13 | |
| }, | |
| { | |
| "level": 2, | |
| "title": "Conventions Used in This Book", | |
| "page": 13 | |
| }, | |
| { | |
| "level": 2, | |
| "title": "Using Code Examples", | |
| "page": 14 | |
| }, | |
| { | |
| "level": 2, | |
| "title": "O’Reilly Online Learning", | |
| "page": 15 | |
| }, | |
| { | |
| "level": 2, | |
| "title": "How to Contact Us", | |
| "page": 15 | |
| }, | |
| { | |
| "level": 2, | |
| "title": "Acknowledgments", | |
| "page": 16 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "1. Overview of Machine Learning Systems", | |
| "page": 18 | |
| }, | |
| { | |
| "level": 2, | |
| "title": "When to Use Machine Learning", | |
| "page": 20 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "Machine Learning Use Cases", | |
| "page": 28 | |
| }, | |
| { | |
| "level": 2, | |
| "title": "Understanding Machine Learning Systems", | |
| "page": 32 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "Machine Learning in Research Versus in Production", | |
| "page": 32 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "Machine Learning Systems Versus Traditional Software", | |
| "page": 45 | |
| }, | |
| { | |
| "level": 2, | |
| "title": "Summary", | |
| "page": 46 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "2. Introduction to Machine Learning Systems Design", | |
| "page": 50 | |
| }, | |
| { | |
| "level": 2, | |
| "title": "Business and ML Objectives", | |
| "page": 51 | |
| }, | |
| { | |
| "level": 2, | |
| "title": "Requirements for ML Systems", | |
| "page": 54 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "Reliability", | |
| "page": 55 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "Scalability", | |
| "page": 55 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "Maintainability", | |
| "page": 57 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "Adaptability", | |
| "page": 57 | |
| }, | |
| { | |
| "level": 2, | |
| "title": "Iterative Process", | |
| "page": 58 | |
| }, | |
| { | |
| "level": 2, | |
| "title": "Framing ML Problems", | |
| "page": 62 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "Types of ML Tasks", | |
| "page": 62 | |
| }, | |
| { | |
| "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 | |
| } | |
| ] | |
| }, | |
| { | |
| "id": "hands_on_machine_learning_aurelien_geron", | |
| "title": "Hands-On Machine Learning with Scikit-Learn and TensorFlow", | |
| "author": "Aurélien Géron", | |
| "totalPages": 510, | |
| "fileSize": 8140749, | |
| "pdfUrl": "data/pdfs/hands_on_machine_learning_aurelien_geron.pdf", | |
| "coverUrl": "data/covers/hands_on_machine_learning_aurelien_geron.jpg", | |
| "layoutUrl": "data/layouts/hands_on_machine_learning_aurelien_geron.json", | |
| "category": "Machine Learning", | |
| "tags": [ | |
| "Machine Learning", | |
| "Deep Learning", | |
| "Scikit-Learn", | |
| "TensorFlow" | |
| ], | |
| "toc": [ | |
| { | |
| "level": 1, | |
| "title": "Cover", | |
| "page": 1 | |
| }, | |
| { | |
| "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 | |
| }, | |
| { | |
| "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 | |
| }, | |
| { | |
| "level": 2, | |
| "title": "Chapter 1. The Machine Learning Landscape", | |
| "page": 29 | |
| }, | |
| { | |
| "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 | |
| }, | |
| { | |
| "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 | |
| }, | |
| { | |
| "level": 4, | |
| "title": "Stepping Back", | |
| "page": 56 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "Testing and Validating", | |
| "page": 57 | |
| }, | |
| { | |
| "level": 4, | |
| "title": "Hyperparameter Tuning and Model Selection", | |
| "page": 58 | |
| }, | |
| { | |
| "level": 4, | |
| "title": "Data Mismatch", | |
| "page": 59 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "Exercises", | |
| "page": 60 | |
| }, | |
| { | |
| "level": 2, | |
| "title": "Chapter 2. End-to-End Machine Learning Project", | |
| "page": 63 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "Working with Real Data", | |
| "page": 64 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "Look at the Big Picture", | |
| "page": 65 | |
| }, | |
| { | |
| "level": 4, | |
| "title": "Frame the Problem", | |
| "page": 65 | |
| }, | |
| { | |
| "level": 4, | |
| "title": "Select a Performance Measure", | |
| "page": 68 | |
| }, | |
| { | |
| "level": 4, | |
| "title": "Check the Assumptions", | |
| "page": 71 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "Get the Data", | |
| "page": 71 | |
| }, | |
| { | |
| "level": 4, | |
| "title": "Create the Workspace", | |
| "page": 71 | |
| }, | |
| { | |
| "level": 4, | |
| "title": "Download the Data", | |
| "page": 75 | |
| }, | |
| { | |
| "level": 4, | |
| "title": "Take a Quick Look at the Data Structure", | |
| "page": 76 | |
| }, | |
| { | |
| "level": 4, | |
| "title": "Create a Test Set", | |
| "page": 80 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "Discover and Visualize the Data to Gain Insights", | |
| "page": 84 | |
| }, | |
| { | |
| "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, | |
| "title": "Data Cleaning", | |
| "page": 93 | |
| }, | |
| { | |
| "level": 4, | |
| "title": "Handling Text and Categorical Attributes", | |
| "page": 95 | |
| }, | |
| { | |
| "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 | |
| }, | |
| { | |
| "level": 4, | |
| "title": "Training and Evaluating on the Training Set", | |
| "page": 101 | |
| }, | |
| { | |
| "level": 4, | |
| "title": "Better Evaluation Using Cross-Validation", | |
| "page": 102 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "Fine-Tune Your Model", | |
| "page": 105 | |
| }, | |
| { | |
| "level": 4, | |
| "title": "Grid Search", | |
| "page": 105 | |
| }, | |
| { | |
| "level": 4, | |
| "title": "Randomized Search", | |
| "page": 107 | |
| }, | |
| { | |
| "level": 4, | |
| "title": "Ensemble Methods", | |
| "page": 108 | |
| }, | |
| { | |
| "level": 4, | |
| "title": "Analyze the Best Models and Their Errors", | |
| "page": 108 | |
| }, | |
| { | |
| "level": 4, | |
| "title": "Evaluate Your System on the Test Set", | |
| "page": 109 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "Launch, Monitor, and Maintain Your System", | |
| "page": 110 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "Try It Out!", | |
| "page": 111 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "Exercises", | |
| "page": 111 | |
| }, | |
| { | |
| "level": 2, | |
| "title": "Chapter 3. Classification", | |
| "page": 113 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "MNIST", | |
| "page": 113 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "Training a Binary Classifier", | |
| "page": 116 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "Performance Measures", | |
| "page": 116 | |
| }, | |
| { | |
| "level": 4, | |
| "title": "Measuring Accuracy Using Cross-Validation", | |
| "page": 117 | |
| }, | |
| { | |
| "level": 4, | |
| "title": "Confusion Matrix", | |
| "page": 118 | |
| }, | |
| { | |
| "level": 4, | |
| "title": "Precision and Recall", | |
| "page": 120 | |
| }, | |
| { | |
| "level": 4, | |
| "title": "Precision/Recall Tradeoff", | |
| "page": 121 | |
| }, | |
| { | |
| "level": 4, | |
| "title": "The ROC Curve", | |
| "page": 125 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "Multiclass Classification", | |
| "page": 128 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "Error Analysis", | |
| "page": 130 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "Multilabel Classification", | |
| "page": 134 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "Multioutput Classification", | |
| "page": 135 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "Exercises", | |
| "page": 136 | |
| }, | |
| { | |
| "level": 2, | |
| "title": "Chapter 4. Training Models", | |
| "page": 139 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "Linear Regression", | |
| "page": 140 | |
| }, | |
| { | |
| "level": 4, | |
| "title": "The Normal Equation", | |
| "page": 142 | |
| }, | |
| { | |
| "level": 4, | |
| "title": "Computational Complexity", | |
| "page": 145 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "Gradient Descent", | |
| "page": 145 | |
| }, | |
| { | |
| "level": 4, | |
| "title": "Batch Gradient Descent", | |
| "page": 149 | |
| }, | |
| { | |
| "level": 4, | |
| "title": "Stochastic Gradient Descent", | |
| "page": 152 | |
| }, | |
| { | |
| "level": 4, | |
| "title": "Mini-batch Gradient Descent", | |
| "page": 155 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "Polynomial Regression", | |
| "page": 156 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "Learning Curves", | |
| "page": 158 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "Regularized Linear Models", | |
| "page": 162 | |
| }, | |
| { | |
| "level": 4, | |
| "title": "Ridge Regression", | |
| "page": 163 | |
| }, | |
| { | |
| "level": 4, | |
| "title": "Lasso Regression", | |
| "page": 165 | |
| }, | |
| { | |
| "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 | |
| }, | |
| { | |
| "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, | |
| "title": "Pretrained Models for Transfer Learning", | |
| "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 | |
| } | |
| ] | |
| }, | |
| { | |
| "id": "an_introduction_to_statistical_learning_python", | |
| "title": "An Introduction to Statistical Learning with Applications in Python", | |
| "author": "Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani", | |
| "totalPages": 613, | |
| "fileSize": 20053984, | |
| "pdfUrl": "data/pdfs/an_introduction_to_statistical_learning_python.pdf", | |
| "coverUrl": "data/covers/an_introduction_to_statistical_learning_python.jpg", | |
| "layoutUrl": "data/layouts/an_introduction_to_statistical_learning_python.json", | |
| "category": "Machine Learning", | |
| "tags": [ | |
| "Statistical Learning", | |
| "Python", | |
| "Data Science" | |
| ], | |
| "toc": [ | |
| { | |
| "level": 1, | |
| "title": "Preface", | |
| "page": 3 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "Contents", | |
| "page": 5 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "1 Introduction", | |
| "page": 12 | |
| }, | |
| { | |
| "level": 2, | |
| "title": "An Overview of Statistical Learning", | |
| "page": 12 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "Wage Data", | |
| "page": 12 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "Stock Market Data", | |
| "page": 13 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "Gene Expression Data", | |
| "page": 14 | |
| }, | |
| { | |
| "level": 2, | |
| "title": "A Brief History of Statistical Learning", | |
| "page": 16 | |
| }, | |
| { | |
| "level": 2, | |
| "title": "This Book", | |
| "page": 17 | |
| }, | |
| { | |
| "level": 2, | |
| "title": "Who Should Read This Book?", | |
| "page": 19 | |
| }, | |
| { | |
| "level": 2, | |
| "title": "Notation and Simple Matrix Algebra", | |
| "page": 19 | |
| }, | |
| { | |
| "level": 2, | |
| "title": "Organization of This Book", | |
| "page": 22 | |
| }, | |
| { | |
| "level": 2, | |
| "title": "Data Sets Used in Labs and Exercises", | |
| "page": 23 | |
| }, | |
| { | |
| "level": 2, | |
| "title": "Book Website", | |
| "page": 24 | |
| }, | |
| { | |
| "level": 2, | |
| "title": "Acknowledgements", | |
| "page": 24 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "2 Statistical Learning", | |
| "page": 25 | |
| }, | |
| { | |
| "level": 2, | |
| "title": "2.1 What Is Statistical Learning?", | |
| "page": 25 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "2.1.1 Why Estimate f?", | |
| "page": 27 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "2.1.2 How Do We Estimate f?", | |
| "page": 30 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "2.1.3 The Trade-Off Between Prediction Accuracy and Model Interpretability", | |
| "page": 33 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "2.1.4 Supervised Versus Unsupervised Learning", | |
| "page": 35 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "2.1.5 Regression Versus Classification Problems", | |
| "page": 37 | |
| }, | |
| { | |
| "level": 2, | |
| "title": "2.2 Assessing Model Accuracy", | |
| "page": 37 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "2.2.1 Measuring the Quality of Fit", | |
| "page": 38 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "2.2.2 The Bias-Variance Trade-Off", | |
| "page": 41 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "2.2.3 The Classification Setting", | |
| "page": 44 | |
| }, | |
| { | |
| "level": 2, | |
| "title": "2.3 Lab: Introduction to Python", | |
| "page": 50 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "2.3.1 Getting Started", | |
| "page": 50 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "2.3.2 Basic Commands", | |
| "page": 50 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "2.3.3 Introduction to Numerical Python", | |
| "page": 52 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "2.3.4 Graphics", | |
| "page": 58 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "2.3.5 Sequences and Slice Notation", | |
| "page": 61 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "2.3.6 Indexing Data", | |
| "page": 61 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "2.3.7 Loading Data", | |
| "page": 65 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "2.3.8 For Loops", | |
| "page": 69 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "2.3.9 Additional Graphical and Numerical Summaries", | |
| "page": 71 | |
| }, | |
| { | |
| "level": 2, | |
| "title": "2.4 Exercises", | |
| "page": 73 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "Conceptual", | |
| "page": 73 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "Applied", | |
| "page": 75 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "3 Linear Regression", | |
| "page": 78 | |
| }, | |
| { | |
| "level": 2, | |
| "title": "3.1 Simple Linear Regression", | |
| "page": 79 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "3.1.1 Estimating the Coefficients", | |
| "page": 80 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "3.1.2 Assessing the Accuracy of the Coefficient Estimates", | |
| "page": 81 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "3.1.3 Assessing the Accuracy of the Model", | |
| "page": 86 | |
| }, | |
| { | |
| "level": 2, | |
| "title": "3.2 Multiple Linear Regression", | |
| "page": 89 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "3.2.1 Estimating the Regression Coefficients", | |
| "page": 90 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "3.2.2 Some Important Questions", | |
| "page": 92 | |
| }, | |
| { | |
| "level": 2, | |
| "title": "3.3 Other Considerations in the Regression Model", | |
| "page": 100 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "3.3.1 Qualitative Predictors", | |
| "page": 100 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "3.3.2 Extensions of the Linear Model", | |
| "page": 103 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "3.3.3 Potential Problems", | |
| "page": 109 | |
| }, | |
| { | |
| "level": 2, | |
| "title": "3.4 The Marketing Plan", | |
| "page": 118 | |
| }, | |
| { | |
| "level": 2, | |
| "title": "3.5 Comparison of Linear Regression with K-Nearest Neighbors", | |
| "page": 120 | |
| }, | |
| { | |
| "level": 2, | |
| "title": "3.6 Lab: Linear Regression", | |
| "page": 125 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "3.6.1 Importing packages", | |
| "page": 125 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "3.6.2 Simple Linear Regression", | |
| "page": 126 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "3.6.3 Multiple Linear Regression", | |
| "page": 131 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "3.6.4 Multivariate Goodness of Fit", | |
| "page": 132 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "3.6.5 Interaction Terms", | |
| "page": 133 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "3.6.6 Non-linear Transformations of the Predictors", | |
| "page": 134 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "3.6.7 Qualitative Predictors", | |
| "page": 135 | |
| }, | |
| { | |
| "level": 2, | |
| "title": "3.7 Exercises", | |
| "page": 136 | |
| }, | |
| { | |
| "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 | |
| } | |
| ] | |
| }, | |
| { | |
| "id": "machine_learning_engineering_andriy_burkov", | |
| "title": "Machine Learning Engineering", | |
| "author": "Andriy Burkov", | |
| "totalPages": 296, | |
| "fileSize": 50498504, | |
| "pdfUrl": "data/pdfs/machine_learning_engineering_andriy_burkov.pdf", | |
| "coverUrl": "data/covers/machine_learning_engineering_andriy_burkov.jpg", | |
| "layoutUrl": "data/layouts/machine_learning_engineering_andriy_burkov.json", | |
| "category": "Machine Learning", | |
| "tags": [ | |
| "Machine Learning", | |
| "ML Engineering", | |
| "Best Practices" | |
| ], | |
| "toc": [] | |
| }, | |
| { | |
| "id": "machine_learning_with_pytorch_and_scikit_learn_raschka", | |
| "title": "Machine Learning with PyTorch and Scikit-Learn", | |
| "author": "Sebastian Raschka, Yuxi Liu, Vahid Mirjalili", | |
| "totalPages": 771, | |
| "fileSize": 30745878, | |
| "pdfUrl": "data/pdfs/machine_learning_with_pytorch_and_scikit_learn_raschka.pdf", | |
| "coverUrl": "data/covers/machine_learning_with_pytorch_and_scikit_learn_raschka.jpg", | |
| "layoutUrl": "data/layouts/machine_learning_with_pytorch_and_scikit_learn_raschka.json", | |
| "category": "Machine Learning", | |
| "tags": [ | |
| "Machine Learning", | |
| "PyTorch", | |
| "Scikit-Learn", | |
| "Deep Learning" | |
| ], | |
| "toc": [ | |
| { | |
| "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 | |
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| { | |
| "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 | |
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| { | |
| "level": 4, | |
| "title": "Working with the existing environments in OpenAI Gym", | |
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| }, | |
| { | |
| "level": 4, | |
| "title": "A grid world example", | |
| "page": 723 | |
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| { | |
| "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", | |
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| "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 | |
| } | |
| ] | |
| }, | |
| { | |
| "id": "the_hundred_page_machine_learning_book_andriy_burkov", | |
| "title": "The Hundred-Page Machine Learning Book", | |
| "author": "Andriy Burkov", | |
| "totalPages": 152, | |
| "fileSize": 7321330, | |
| "pdfUrl": "data/pdfs/the_hundred_page_machine_learning_book_andriy_burkov.pdf", | |
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| "layoutUrl": "data/layouts/the_hundred_page_machine_learning_book_andriy_burkov.json", | |
| "category": "Machine Learning", | |
| "tags": [ | |
| "Machine Learning", | |
| "Fundamentals" | |
| ], | |
| "toc": [ | |
| { | |
| "level": 1, | |
| "title": "Preface.pdf", | |
| "page": 1 | |
| }, | |
| { | |
| "level": 2, | |
| "title": "Preface", | |
| "page": 3 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "Who This Book is For", | |
| "page": 3 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "How to Use This Book", | |
| "page": 3 | |
| }, | |
| { | |
| "level": 3, | |
| "title": "Should You Buy This Book?", | |
| "page": 4 | |
| } | |
| ] | |
| }, | |
| { | |
| "id": "understanding_deep_learning_simon_j_d_prince", | |
| "title": "Understanding Deep Learning", | |
| "author": "Simon J.D. Prince", | |
| "totalPages": 782, | |
| "fileSize": 7366133, | |
| "pdfUrl": "data/pdfs/understanding_deep_learning_simon_j_d_prince.pdf", | |
| "coverUrl": "data/covers/understanding_deep_learning_simon_j_d_prince.jpg", | |
| "layoutUrl": "data/layouts/understanding_deep_learning_simon_j_d_prince.json", | |
| "category": "Machine Learning", | |
| "tags": [ | |
| "Deep Learning", | |
| "Neural Networks", | |
| "Mathematics" | |
| ], | |
| "toc": [ | |
| { | |
| "level": 1, | |
| "title": "Contents", | |
| "page": 6 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "Preface", | |
| "page": 8 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "Acknowledgments", | |
| "page": 10 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "Chapter 1: Introduction", | |
| "page": 12 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "Chapter 2: Supervised learning", | |
| "page": 33 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "Chapter 3: Shallow neural networks", | |
| "page": 44 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "Chapter 4: Deep neural networks", | |
| "page": 68 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "Chapter 5: Loss functions", | |
| "page": 89 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "Chapter 6: Fitting models", | |
| "page": 121 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "Chapter 7: Gradients and initialization", | |
| "page": 149 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "Chapter 8: Measuring performance", | |
| "page": 180 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "Chapter 9: Regularization", | |
| "page": 209 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "Chapter 10: Convolutional networks", | |
| "page": 243 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "Chapter 11: Residual networks", | |
| "page": 279 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "Chapter 12: Transformers", | |
| "page": 309 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "Chapter 13: Graph neural networks", | |
| "page": 359 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "Chapter 14: Unsupervised learning", | |
| "page": 399 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "Chapter 15: Generative Adversarial Networks", | |
| "page": 410 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "Chapter 16: Normalizing flows", | |
| "page": 451 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "Chapter 17: Variational autoencoders", | |
| "page": 484 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "Chapter 18: Diffusion models", | |
| "page": 515 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "Chapter 19: Reinforcement learning", | |
| "page": 551 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "Chapter 20: Why does deep learning work?", | |
| "page": 594 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "Chapter 21: Deep learning and ethics", | |
| "page": 621 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "Appendix A: Notation", | |
| "page": 644 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "Appendix B: Mathematics", | |
| "page": 648 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "Appendix C: Probability", | |
| "page": 660 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "Bibliography", | |
| "page": 679 | |
| }, | |
| { | |
| "level": 1, | |
| "title": "Index", | |
| "page": 746 | |
| } | |
| ] | |
| } | |
| ] |