Quantitative Trading - Ernest P Chan
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Présentation Quantitative Trading de Ernest P Chan Format Broché
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Résumé : Foreword by Rishi K. Narang xi Preface to the 2 nd Edition xv Preface xix Acknowledgments xxv Chapter 1: The Whats, Whos, and Whys of Quantitative Trading 1 Who Can Become a Quantitative Trader? 2 The Business Case for Quantitative Trading 4 Scalability 5 Demand on Time 5 The Nonnecessity of Marketing 7 The Way Forward 8 Chapter 2: Fishing for Ideas 11 How to Identify a Strategy that Suits You 14 Your Working Hours 14 Your Programming Skills 15 Your Trading Capital 15 Your Goal 19 A Taste for Plausible Strategies and Their Pitfalls 20 How Does It Compare with a Benchmark, and How Consistent Are Its Returns? 20 How Deep and Long Is the Drawdown? 23 How Will Transaction Costs Affect the Strategy? 24 Does the Data Suffer from Survivorship Bias? 26 How Did the Performance of the Strategy Change over the Years? 27 Does the Strategy Suffer from Data-Snooping Bias? 28 Does the Strategy Fly under the Radar of Institutional Money Managers? 30 Summary 30 References 31 Chapter 3: Backtesting 33 Common Backtesting Platforms 34 Excel 34 MATLAB 34 Python 36 R 38 QuantConnect 40 Blueshift 40 Finding and Using Historical Databases 40 Are the Data Split and Dividend Adjusted? 41 Are the Data Survivorship-Bias Free? 44 Does Your Strategy Use High and Low Data? 46 Performance Measurement 47 Common Backtesting Pitfalls to Avoid 57 Look-Ahead Bias 58 Data-Snooping Bias 59 Transaction Costs 72 Strategy Refinement 77 Summary 78 References 79 Chapter 4: Setting Up Your Business 81 Business Structure: Retail or Proprietary? 81 Choosing a Brokerage or Proprietary Trading Firm 85 Physical Infrastructure 87 Summary 89 References 91 What an Automated Trading System Can Do for You 93 Building a Semiautomated Trading System 95 Building a Fully Automated Trading System 98 Minimizing Transaction Costs 101 Testing Your System by Paper Trading 103 Why Does Actual Performance Diverge from Expectations? 104 Summary 107 Chapter 6: Money and Risk Management 109 Optimal Capital Allocation and Leverage 109 Risk Management 120 Model Risk 124 Software Risk 125 Natural Disaster Risk 125 Psychological Preparedness 125 Summary 130 Appendix: A Simple Derivation of the Kelly Formula when Return Distribution Is Gaussian 131 References 132 Chapter 7: Special Topics in Quantitative Trading 133 Mean-Reverting versus Momentum Strategies 134 Regime Change and Conditional Parameter Optimization 137 Stationarity and Cointegration 147 Factor Models 160 What Is Your Exit Strategy? 169 Seasonal Trading Strategies 174 High-Frequency Trading Strategies 186 Is it Better to Have a High-Leverage versus a High-Beta Portfolio? 188 Summary 190 References 192 Chapter 8: Conclusion 193 Next Steps 197 References 198 Appendix: A Quick Survey of MATLAB 199 Bibliography 205 About the Author 209 Index 211
Chapter 5: Execution Systems 93
Biographie:
Founding Partner, Tudor Investment Corporation
Out of the many books and articles on quantitative trading that I've read over the years, very few have been of much use at all. In most instances, the authors have no real knowledge of the subject matter or do have something important to say but are unwilling to do so because of fears of having trade secrets stolen. Ernie subscribes to a different credo: Share meaningful information and have meaningful interactions with the quantitative community at large. Ernie successfully distills a large amount of detailed and difficult subject matter down to a very clear and comprehensive resource for novice and pro alike.
-STEVE HALPERN, Founder, HCC Capital, LLC
Often the hardest part of getting started is simply knowing what questions to ask. This holds especially true for fields like quantitative trading, which are shrouded in mystery and protected by impenetrable jargon. Readers of this book will not only learn the foundations of research and strategy development, but also gain pragmatic insight into the operational sides of the business. Ernie has written the ideal guide for those looking to go from zero-to-one in their quantitative trading journey.
-COREY HOFFSTEIN, Co-founder and CIO, Newfound Research
Sommaire:
Ernie makes the fundamentals as simple as possible, but no simpler (as Einstein would say) and strikes the perfect balance between intuition and technical depth. Those specifically interested in trading, and anyone generally interested in understanding how modern financial markets work, will benefit from reading the Second Edition of Quantitative Trading.
-CRAIG BETTS, mathematician and Founder, Solace
As technology has evolved, so has the ease in developing trading strategies. Ernest Chan does all traders, current and prospective, a real service by succinctly outlining the tremendous benefits, but also some of the pitfalls, in utilizing many of the recently implemented quantitative trading techniques.
-PETER BORISH, Chairman and CEO, Computer Trading Corporation...
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