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Item #:
27192332
Permutation and Randomization Tests for Trading System Development: Algorithms in C++
86% of respondents would recommend this to a friend
Item #:
27192332
€ 37
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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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What Stands Out
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.
Product Details
| Package Weight | 1 Pound |
Who Should Buy?
-
Quantitative Analysts
Perfect for quantitative analysts seeking robust statistical methods for validating trading strategies using C programming.
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Algorithm Developers
Ideal for developers needing algorithms that leverage permutation and randomization tests to assess trading system performance.
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Finance Students
Beneficial for finance students wanting to understand the application of statistical tests in financial models effectively.
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Beginner Programmers
Not suitable for beginners who lack foundational programming knowledge, especially in C or statistical methods.
Product Description
Permutation and Randomization Tests for Trading System Development: Algorithms in C++
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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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Pros
- 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
Cons
- Some readers might prefer more extensive content
Product Price History
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€ 37
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Features & Benefits
- Includes intuitive justification, basic theory, relevant equations, and highly commented C++ code
- Topics covered: overfitting, luckiness-vs-skill evaluation, effectiveness testing, selection bias removal, probability bounds, and more
- Easy reprogramming in other languages
- Evaluates the best indicator or model's luck versus skill
- Identifies markets with truly superior profits
- Determines the best holding time for risk/return performance
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