Quantitative Trading
Quantitative Trading_ How to Build Your Own Algorithmic Trading Business
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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 9
How to Identify a Strategy That Suits You 12
Your Working Hours 12
Your Programming Skills 13
Your Trading Capital 13
Your Goal 16
A Taste for Plausible Strategies and Their Pitfalls 17
How Does It Compare with a Benchmark and How Consistent
Are Its Returns? 18
How Deep and Long Is the Drawdown? 21
How Will Transaction Costs Affect the Strategy? 22
Does the Data Suffer from Survivorship Bias? 24
How Did the Performance of the Strategy Change over the Years? 24
Does the Strategy Suffer from Data-Snooping Bias? 25
Does the Strategy “Fly under the Radar" of Institutional
Money Managers? 27
Summary 28
CHAPTER 3 Backtesting 31
Common Backtesting Platforms 32
Excel 32
MATLAB 32
TradeStation 35
High-End Backtesting Platforms 35
Finding and Using Historical Databases 36
Are the Data Split and Dividend Adjusted? 36
Are the Data Survivorship Bias Free? 40
Does Your Strategy Use High and Low Data? 42
Performance Measurement 43
Common Backtesting Pitfalls to Avoid 50
Look-Ahead Bias 51
Data-Snooping Bias 52
Transaction Costs 60
Strategy Refinement 65
Summary 66
CHAPTER 4 Setting Up Your Business 69
Business Structure: Retail or Proprietary? 69
Choosing a Brokerage or Proprietary Trading Firm 71
Physical Infrastructure 75
Summary 77
CHAPTER 5 Execution Systems 79
What an Automated Trading System Can Do for You 79
Building a Semiautomated Trading System 81
Building a Fully Automated Trading System 84
Minimizing Transaction Costs 87
Testing Your System by Paper Trading 89
Why Does Actual Performance Diverge from Expectations? 90
Summary 92
CHAPTER 6 Money and Risk Management 95
Optimal Capital Allocation and Leverage 95
Risk Management 103
Psychological Preparedness 108
Summary 111
Appendix: A Simple Derivation of the Kelly Formula when
Return Distribution Is Gaussian 112
CHAPTER 7 Special Topics in Quantitative Trading 115
Mean-Reverting versus Momentum Strategies 116
Regime Switching 119
Stationarity and Cointegration 126
Factor Models 133
What Is Your Exit Strategy? 140
Seasonal Trading Strategies 143
High-Frequency Trading Strategies 151
Is It Better to Have a High-Leverage versus
a High-Beta Portfolio? 153
Summary 154
CHAPTER 8 Conclusion: Can Independent Traders
Succeed? 157
Next Steps 161
Appendix A Quick Survey of MATLAB 163
Bibliography 169
About the Author 173
Index 175