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Statistically Sound Indicators For Financial Market Prediction: Algorithms in C Paperback
Whether you compute a few indicators and trade by watching their plots on a computer screen, or do simple automated algorithmic trading, or employ sophisticated predictive models, this book provides tools that help you take your trading to a higher, more profitable level.
Statistically Sound Indicators For Financial Market Prediction: Algorithms in C Paperback
Item #: 41674838

Statistically Sound Indicators For Financial Market Prediction: Algorithms in C Paperback

Item #: 41674838

GBP 48

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Whether you compute a few indicators and trade by watching their plots on a computer screen, or do simple automated algorithmic trading, or employ sophisticated predictive models, this book provides tools that help you take your trading to a higher, more profitable level.
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What Stands Out

In-depth Algorithms
This book offers comprehensive insights into advanced algorithms specifically designed for financial market prediction, making it an essential resource for students and professionals seeking to enhance their quantitative analysis skills.
Practical C++ Use
Combining statistical theory with practical C++ coding, this title empowers readers to implement and fine-tune predictive models effectively, bridging the gap between academic concepts and real-world application.
Statistical Validity
Emphasizing statistically sound indicators, the book equips users with proven methodologies for making informed trading decisions, significantly enhancing the accuracy of market predictions and mitigating risks.

Product Details

Shop Statistically Sound Indicators For Financial Market Prediction: Algorithms in C Paperback online at a best price in UK. 478103991
  • Book of the Year award by The Technical Analyst
  • Focus on the importance of indicator quality over trading algorithm
  • Presentation of traditional and modern indicators with predictive information
  • Discussion on indicator information-carrying capacity tests and transformations
  • Identification of regions with maximum predictive power in indicators
  • Introduction of powerful indicators such as Follow-Through Index and The JANUS Factor
Book formatPaperback
Fiction/nonfictionNon-Fiction
GenreBusiness & Investing
Publication dateOctober, 2019
Pages394
EditionStandard Edition
PublisherIndependently Published
Original languagesEnglish
LanguageEnglish
Awards wonBook of the Year
Assembled product dimensions (l x w x h)9.00 x 6.00 x 1.50 in (22.9 x 15.2 x 3.8 cm)
Assembled product weight1 lb (450 grams)
Bisac subject headingBusiness & Economics

Who Should Buy?

Suitable For
  • Finance Students

    Ideal for students studying finance or quantitative methods, seeking practical algorithms for market analysis in C++.

  • Algorithm Developers

    Developers focusing on financial applications will benefit from understanding and implementing the algorithms presented in this book.

  • Data Analysts

    Analysts interested in statistical methods for financial prediction will find robust techniques and coding examples applicable to their work.

Not Suitable For
  • Beginner Programmers

    Beginners may struggle with complex algorithms and C++ coding without prior programming knowledge or experience.

  • Casual Investors

    Casual investors looking for simple strategies may find the content overly technical and not directly applicable.

  • Non-Technical Readers

    Readers lacking technical backgrounds may find the mathematical and programming concepts challenging and confusing to grasp.

Product Description

Statistically Sound Indicators For Financial Market Prediction: Algorithms in C Paperback

About This Item

Are you looking for a comprehensive and reliable resource to help you predict financial market trends? Look no further than "Statistically Sound Indicators For Financial Market Prediction: Algorithms in C++". This paperback book is your go-to guide for mastering the art of financial market forecasting using powerful algorithms. Inside this book, you'll discover a treasure trove of valuable insights and techniques to help you make informed investment decisions. The authors delve deep into the world of statistically solid indicators and show you how to leverage them to your advantage.

Whether you're a seasoned trader or just starting out in the world of finance, this book is packed with knowledge that will take your understanding of the market to new heights. One of the highlights of this book is its focus on C++ programming algorithms. By understanding and utilizing these algorithms effectively, you'll be able to uncover patterns, analyze data, and develop algorithmic trading strategies. The authors provide step-by-step instructions and real-world examples to ensure you fully grasp the concepts and can apply them confidently. This book goes beyond theoretical discussions and provides practical applications of statistical analysis in market trends.

The authors explore predictive analytics in finance, equipping you with the tools needed to make accurate predictions based on historical data and market patterns. Dive into statistical models for market prediction and discover how to interpret the results to gain a competitive edge. What sets this book apart is its emphasis on coded algorithms for financial analysis. You'll learn how to use these algorithms to extract valuable insights from large datasets, giving you a data-driven approach to financial market insights.

With code samples and explanations, you'll have everything you need to apply these algorithms effectively in real-world scenarios. If you're serious about becoming a successful trader or investor, "Statistically Sound Indicators For Financial Market Prediction: Algorithms in C++" is a must-have addition to your library. Gain a deeper understanding of market trends, develop algorithmic trading strategies, and elevate your financial analysis skills. Don't miss out on this invaluable resource for unlocking the secrets of financial market prediction.

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Customer Questions & Answers

  • Question: What is the importance of indicators in trading?

    Answer: Quality of indicators is vastly more important than the quality of the trading algorithm or predictive model.
  • Question: What does the book provide?

    Answer: The book provides numerous indicators that carry significant predictive information, techniques to measure and raise the information-carrying capacity of indicators, and tools to compute statistically sound probabilities for indicator performance.
  • Question: Who devised the Follow-Through Index indicator?

    Answer: The Follow-Through Index indicator was devised by Govinda Khalsa.

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