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Permutation and Randomization Tests for Trading System Development: Algorithms in C++
Permutation and Randomization Tests for Trading System Development: Algorithms in C++
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.
Permutation and Randomization Tests for Trading System Development: Algorithms in C++
Vare #: 27192332

Permutation and Randomization Tests for Trading System Development: Algorithms in C++

Vare #: 27192332

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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.
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Hvad der skiller sig ud

Advanced Algorithms
Utilizes cutting-edge algorithms for efficient trading system development, providing users with robust and reliable tools for analyzing market behavior through permutation and randomization techniques.
C Language Focus
Developed specifically in C, offering high-performance execution and control over system resources, catering to developers and traders looking for optimized trading strategies.
Comprehensive Coverage
In-depth exploration of statistical tests relevant to trading, allowing users to confidently validate strategies while gaining a clear understanding of their effectiveness against market fluctuations.

Produktdetaljer

Shop a wide range of trading system development books, including algorithms in C. Discover permutation & randomization test methods for improved trading strategies at Ubuy Danmark.
  • 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 stageEvaluating the luckiness-versus-skill of a fully developed system before deploying itTesting the effectiveness and reliability of a trading system factoryRemoving selection bias when screening a large number of indicatorsProbability bounds for future mean returnsBounding typical and catastrophic future drawdownsIs 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?
Publisher Independently published
Publication date February 12, 2020
Language English
Print length 173 pages
ISBN-13 979-8607808105
Dimensions 7.44 x 0.39 x 9.69 inches (18.9 x 1 x 24.6 cm)
Package Weight1 Pound

Hvem bør købe?

Suitable For
  • Quantitative Analysts

    Perfect for quantitative analysts seeking robust statistical methods for validating trading strategies using C programming.

  • Algorithm Developers

    Ideal for developers needing algorithms that leverage permutation and randomization tests to assess trading system performance.

  • Finance Students

    Beneficial for finance students wanting to understand the application of statistical tests in financial models effectively.

Not Suitable For
  • Beginner Programmers

    Not suitable for beginners who lack foundational programming knowledge, especially in C or statistical methods.

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  • spørgsmål: Hvordan shopper man Permutation and Randomization Tests for Trading online fra Ubuy?

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  • spørgsmål: Er Permutation and Randomization Tests for Trading tilgængelig til at handle online i Denmark?

    svar: Ja, hos Ubuy Denmark er dette produkt tilgængeligt, så du kan handle til en rimelig pris.. Permutation and Randomization Tests for Trading er ikke tilgængelig lokalt, men du kan stole på os med vores ekspresforsendelsestjenester.
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Data Processing Editorial Review

Permutation and Randomization Tests for Trading System Development: Algorithms in C++ is a significant contribution to the field of trading system development by Tim Masters, who holds a Ph.D. in Statistics and is known for his authoritative publications on machine learning and trading methodologies. This book addresses the critical issue of utilizing out-of-sample data, emphasizing the importance of its single-use to provide unbiased performance estimates. The Monte Carlo Permutation method is a key statistical technique applied in this book, allowing system developers to assess their indicators against randomized data, ultimately testing their efficacy in a rigorous manner. Readers appreciate the depth of knowledge and practical insights that Masters provides, making this book a valuable resource for traders seeking scientific approaches to system development.

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Fordele

  • Packed with essential algorithmic insights
  • Emphasizes proper use of out-of-sample data
  • Monte Carlo methods help avoid overfitting
  • Rich content despite shorter length
  • Includes commented code for practical use

Ulemper

  • Some readers might prefer more extensive content

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