Permutation and Randomization Tests for Trading System Development
- Algorithms in C++
- Indbinding:
- Paperback
- Sideantal:
- 174
- Udgivet:
- 12. februar 2020
- Størrelse:
- 189x246x9 mm.
- Vægt:
- 322 g.
- 2-3 uger.
- 6. december 2024
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Abonnementspris
- Rabat på køb af fysiske bøger
- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding
Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.
- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding
Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.
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?
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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