Building Winning Algorithmic Trading Systems, + Website
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Building Winning Algorithmic Trading Systems, + Website: A Trader's Journey From Data Mining to Monte Carlo Simulation to Live Trading

Building Winning Algorithmic Trading Systems, + Website: A Trader's Journey From Data Mining to Monte Carlo Simulation to Live Trading

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About the Book

Develop your own trading system with practical guidance and expert advice In Building Algorithmic Trading Systems: A Trader's Journey From Data Mining to Monte Carlo Simulation to Live Training, award-winning trader Kevin Davey shares his secrets for developing trading systems that generate triple-digit returns. With both explanation and demonstration, Davey guides you step-by-step through the entire process of generating and validating an idea, setting entry and exit points, testing systems, and implementing them in live trading. You'll find concrete rules for increasing or decreasing allocation to a system, and rules for when to abandon one. The companion website includes Davey's own Monte Carlo simulator and other tools that will enable you to automate and test your own trading ideas. A purely discretionary approach to trading generally breaks down over the long haul. With market data and statistics easily available, traders are increasingly opting to employ an automated or algorithmic trading system—enough that algorithmic trades now account for the bulk of stock trading volume. Building Algorithmic Trading Systems teaches you how to develop your own systems with an eye toward market fluctuations and the impermanence of even the most effective algorithm. Learn the systems that generated triple-digit returns in the World Cup Trading Championship Develop an algorithmic approach for any trading idea using off-the-shelf software or popular platforms Test your new system using historical and current market data Mine market data for statistical tendencies that may form the basis of a new system Market patterns change, and so do system results. Past performance isn't a guarantee of future success, so the key is to continually develop new systems and adjust established systems in response to evolving statistical tendencies. For individual traders looking for the next leap forward, Building Algorithmic Trading Systems provides expert guidance and practical advice.

Table of Contents:
Acknowledgments ix About the Author x Introduction 1 Part I A Trader’s Journey 7 Chapter 1 The Birth of a Trader 9 Chapter 2 Enough Is Enough 15 Chapter 3 World Cup Championship of Futures Trading ® Triumph 23 Chapter 4 Making the Leap—Transitioning to Full Time 33 Part II Your Trading System 41 Chapter 5 Testing and Evaluating a Trading System 43 Chapter 6 Preliminary Analysis 53 Chapter 7 Detailed Analysis 61 Chapter 8 Designing and Developing Systems 71 Part III Developing a Strategy 77 Chapter 9 Strategy Development—Goals and Objectives 79 Chapter 10 Trading Idea 83 Chapter 11 Let’s Talk about Data 93 Chapter 12 Limited Testing 103 Chapter 13 In-Depth Testing/Walk-Forward Analysis 115 Chapter 14 Monte Carlo Analysis and Incubation 129 Chapter 15 Diversification 133 Chapter 16 Position Sizing and Money Management 139 Chapter 17 Documenting the Process 147 Part IV Creating a System 153 Chapter 18 Goals, Initial and Walk-Forward Testing 155 Chapter 19 Monte Carlo Testing and Incubation 163 Part V Considerations Before Going Live 175 Chapter 20 Account and Position Sizing 177 Chapter 21 Trading Psychology 187 Chapter 22 Other Considerations before Going Live 195 Part VI Monitoring a Live Strategy 203 Chapter 23 The Ins and Outs of Monitoring a Live Strategy 205 Chapter 24 Real Time 219 Part VII Cautionary Tales 233 Chapter 25 Delusions of Grandeur 235 Conclusion 243 Appendix A Monkey Trading Example, TradeStation Easy Language Code 247 Appendix B Euro Night Strategy, TradeStation Easy Language Format 255 Appendix C Euro Day Strategy, TradeStation Easy Language Format 259 About the Companion Web Site 263 Index 265


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Product Details
  • ISBN-13: 9781118778982
  • Publisher: John Wiley & Sons Inc
  • Publisher Imprint: John Wiley & Sons Inc
  • Height: 234 mm
  • No of Pages: 288
  • Returnable: N
  • Sub Title: A Trader's Journey From Data Mining to Monte Carlo Simulation to Live Trading
  • Width: 185 mm
  • ISBN-10: 1118778987
  • Publisher Date: 02 Sep 2014
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Spine Width: 20 mm
  • Weight: 526 gr


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Building Winning Algorithmic Trading Systems, + Website: A Trader's Journey From Data Mining to Monte Carlo Simulation to Live Trading
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