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Permutation and Randomization Tests for Trading System Development

- Algorithms in C++

Bag om Permutation and Randomization Tests for Trading System Development

This book provides the trading system developer with a powerful set of statistical tools for measuring vital aspects of performance that are ignored by most developers. All algorithms include intuitive justification, basic theory, all relevant equations, and highly commented C++ code for complete programs that run in a Windows Command Console. Reprogramming them in other languages should be easy, given the detailed explanations of each algorithm. The following topics are covered: Testing for overfitting at the earliest possible stage Evaluating the luckiness-versus-skill of a fully developed system before deploying it Testing the effectiveness and reliability of a trading system factory Removing selection bias when screening a large number of indicators Probability bounds for future mean returns Bounding typical and catastrophic future drawdowns Is the best indicator or model in a competition truly the best, or just the luckiest? Which markets provide truly superior profits for your trading system? What holding time for your system provides the best risk/return performance?

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9798607808105
  • Indbinding:
  • Paperback
  • Sideantal:
  • 174
  • Udgivet:
  • 12. februar 2020
  • Størrelse:
  • 189x246x9 mm.
  • Vægt:
  • 322 g.
  • BLACK FRIDAY
    : :
Leveringstid: 2-3 uger
Forventet levering: 16. december 2024
Forlænget returret til d. 31. januar 2025

Beskrivelse af Permutation and Randomization Tests for Trading System Development

This book provides the trading system developer with a powerful set of statistical tools for measuring vital aspects of performance that are ignored by most developers.
All algorithms include intuitive justification, basic theory, all relevant equations, and highly commented C++ code for complete programs that run in a Windows Command Console.
Reprogramming them in other languages should be easy, given the detailed explanations of each algorithm.
The following topics are covered:
Testing for overfitting at the earliest possible stage
Evaluating the luckiness-versus-skill of a fully developed system before deploying it
Testing the effectiveness and reliability of a trading system factory
Removing selection bias when screening a large number of indicators
Probability bounds for future mean returns
Bounding typical and catastrophic future drawdowns
Is the best indicator or model in a competition truly the best, or just the luckiest?
Which markets provide truly superior profits for your trading system?
What holding time for your system provides the best risk/return performance?

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