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Statistically Sound Indicators For Financial Market Prediction: Algorithms in C++
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Č. položky:
90507773
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What Stands Out
Algorithmic Focus
Offers in-depth algorithms specifically designed for financial market predictions, providing readers a solid foundation for modeling and understanding market behavior.
C++ Implementation
Utilizes C++, a powerful programming language, ensuring efficient computation and performance in financial analysis, appealing to developers and finance professionals alike.
Statistical Methods
Incorporates proven statistical methods tailored for finance, helping users minimize risks and maximize decision-making accuracy in volatile markets.
Detaily produktu
- Awarded Book of the Year by The Technical Analyst
- Focuses on the significance of high-quality indicators in trading
- Presents traditional and modern indicators with predictive information
- Discusses tests to measure indicator information capacity and transformations to enhance it
- Teaches how to compute statistically sound probabilities for indicator performance
- Includes the essential theory and implementation in C++ of powerful indicators such as the Follow-Through Index and The JANUS Factor
| Publisher | Independently published |
| Publication date | 22 Oct. 2019 |
| Language | English |
| Print length | 393 pages |
| ISBN-10 | 1698339992 |
| ISBN-13 | 978-1698339993 |
| Item weight | 703 g |
| Dimensions | 18.9 x 2.26 x 24.61 cm |
Who Should Buy?
-
Finance Students
Ideal for students studying finance, providing practical applications of statistical algorithms for market predictions.
-
C++ Developers
C++ programmers interested in finance can learn how to implement statistical models efficiently in their code.
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Market Analysts
Market analysts seeking to enhance their predictive capabilities using data-driven algorithms suited for financial markets.
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Beginner Coders
Less suitable for individuals with no programming experience, as it requires knowledge of C++ to understand the content.
OPIS PRODUKTU
Statistically Sound Indicators For Financial Market Prediction: Algorithms in C++
About This Item
Introducing "Statistically Sound Indicators For Financial Market Prediction: Algorithms in C" Are you looking for reliable tools to predict financial market trends accurately? Look no further than "Statistically Sound Indicators For Financial Market Prediction: Algorithms in C." This comprehensive guidebook is designed to equip traders, investors, and financial analysts with the necessary knowledge and strategies to make informed decisions in the ever-changing market. With a focus on statistical indicators and algorithms implemented in the C programming language, this book provides a practical and hands-on approach to analyzing and predicting financial markets. Written by experts in the field, you can trust that the techniques and methods shared within these pages are based on solid research and proven practices. Whether you are a seasoned trader or just starting in the financial industry, "Statistically Sound Indicators For Financial Market Prediction: Algorithms in C" offers something for everyone. The book starts with the fundamentals of financial markets and statistical analysis, making it accessible to beginners.
As you progress through the chapters, you'll delve deeper into advanced concepts, algorithms, and strategies for accurately predicting market trends. Why choose "Statistically Sound Indicators For Financial Market Prediction: Algorithms in C"? Here are some key features that set this book apart: 1. Extensive Coverage: From statistical indicators to prediction algorithms and market analysis, this book covers all aspects of financial market prediction. 2. Hands-on Approach: The authors provide practical examples, code snippets, and exercises to help you apply the concepts in real-world scenarios. 3.
In-depth Explanations: Complex topics are explained in a clear and concise manner, ensuring that even the most challenging concepts are easily understood. 4. C Programming Language: The use of the C language ensures that the algorithms and techniques can be easily implemented in various platforms and systems. 5. Updated Information: The book was published recently, ensuring that you have access to the latest research and advancements in the field of financial market prediction. By investing in "Statistically Sound Indicators For Financial Market Prediction: Algorithms in C," you'll gain the knowledge and skills necessary to make better informed decisions in the financial market.
Don't leave your success to chance – equip yourself with the tools and strategies needed to navigate the complex world of finance. Order your copy of "Statistically Sound Indicators For Financial Market Prediction: Algorithms in C" today and take the first step towards becoming a successful trader, investor, or financial analyst.
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Econometrics Editorial Review
Statistically Sound Indicators For Financial Market Prediction Algorithms In C++ is a comprehensive guide published independently on October 22, 2019, offering an in-depth exploration of financial prediction algorithms, spanning 393 pages. The book is presented in English and features a systematic approach towards understanding statistical indicators essential for analyzing financial markets. Readers have found this resource invaluable for enhancing their programming skills in C++, with a particular emphasis on practical application in financial analysis. The technical depth paired with clear explanations makes it suitable for both novices and experienced programmers looking to refine their financial algorithmic strategies.
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Pros
- In-depth exploration of financial prediction algorithms
- Covers statistical indicators comprehensively
- Suitable for both beginners and experienced programmers
- Practical applications in financial analysis
- Well-structured and clear explanations
Zápory
- Might be dense for readers new to programming
Product Price History
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Funkcie a výhody
- Presents traditional and modern indicators with predictive information for algorithmic trading.
- Describes simple transformations to raise the information-carrying capacity of indicators.
- Helps to locate the regions in an indicator’s domain where maximum predictive power occurs.
- Teaches to compute statistically sound probabilities for the indicator's performance.
- Examines pairs of markets, or even large collections of markets simultaneously to provide valuable indicators.
- Provides tools for taking the trading to a higher, more profitable level.
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