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90420699
Permutation and Randomization Tests for Trading System Development: Algorithms in C++
89% of respondents would recommend this to a friend
Nº de artículo:
90420699
NIO 1592
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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
Comprehensive Algorithms
Offers detailed algorithms specifically designed for trading system development, equipping readers with practical techniques for implementing effective trading strategies in C++.
Statistical Insights
Explains permutation and randomization tests in depth, enabling traders to evaluate the robustness of their trading systems through proven statistical methods.
Practical Application
Focuses on real-world applications, bridging theory and practice, which empowers traders to develop, test, and optimize profitable trading systems confidently.
Detalles de producto
- 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 | 12 Feb. 2020 |
| Language | English |
| Print length | 173 pages |
| ISBN-13 | 979-8607808105 |
| Item weight | 322 g |
| Dimensions | 18.9 x 0.99 x 24.61 cm |
Who Should Buy?
-
Quantitative Analysts
Ideal for analysts focusing on algorithmic trading and seeking advanced methods for performance evaluation and optimization.
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C++ Programmers
Beneficial for programmers who want to implement statistical tests for trading systems using familiar C++ coding practices.
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Finance Students
Great resource for finance students learning about practical applications of randomness and permutation tests in trading.
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Casual Traders
Not suitable for casual traders who require simpler strategies without the complexity of advanced statistical methods.
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Revisión editorial
Permutation And Randomization Tests For Trading System Development Algorithms In C++ is a comprehensive guide that explores innovative techniques in algorithm design. This book, published independently, delves into statistical methodologies that can enhance trading system development. With a print length of 173 pages, it provides extensive information suitable for both novice and experienced programmers. Readers appreciate the clear explanations and practical examples, making complex concepts more accessible. Additionally, the publication date of February 12, 2020, indicates that the content is relatively recent and relevant for current algorithmic trading practices.
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ventajas
- Provides innovative techniques for algorithm design
- Clear explanations enhance understanding of complex concepts
- Practical examples facilitate real-world application
- Suitable for novice and experienced programmers
- Relatively recent publication ensures current relevance
Contras
- Might not cover advanced topics in depth
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características y beneficios
- 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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