---
product_id: 170113561
title: "Statistically Sound Indicators For Financial Market Prediction: Algorithms in C++"
price: "€ 115.07"
currency: EUR
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reviews_count: 12
url: https://www.desertcart.fr/products/170113561-statistically-sound-indicators-for-financial-market-prediction-algorithms-in-c
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region: France
---

# Statistically Sound Indicators For Financial Market Prediction: Algorithms in C++

**Price:** € 115.07
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- **How much does it cost?** € 115.07 with free shipping
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- **Where can I buy it?** [www.desertcart.fr](https://www.desertcart.fr/products/170113561-statistically-sound-indicators-for-financial-market-prediction-algorithms-in-c)

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## Description

NEWS FLASH... This book was just awarded "Book of the Year" by The Technical Analyst! In my decades of professional experience as a statistical consultant in the field of financial market trading, the single most important lesson that I’ve learned about trading is this: the quality of the indicators is vastly more important than the quality of the trading algorithm or predictive model. If you are sloppy about your indicator computation, no high-tech model or algorithm is going to bail you out. Garbage in, garbage out still rules. This book presents numerous traditional and modern indicators that have been shown to carry significant predictive information. But it will do far more than just that. In addition to a wealth of useful indicators, you will see the following issues discussed: -->There are simple tests that let you measure the potential information-carrying capacity of an indicator. If your proposed indicator fails this information-capacity test, you should consider revising it. This book describes simple transformations that raise the information-carrying capacity of your indicators and make them more useful for algorithmic trading. -->You will learn how to locate the regions in your indicator’s domain where maximum predictive power occurs so that you can focus on these important values. --> You will learn how to compute statistically sound probabilities to help you decide whether the performance of an indicator is legitimate or just the product of random good luck. --> Most traditional indicators examine one market at a time. But you will learn how examining pairs of markets, or even large collections of markets simultaneously, can provide valuable indicators that quantify complex inter-market relationships. --> Govinda Khalsa devised a powerful indicator called the Follow-Through Index which reveals how likely it is that an existing trend will continue. This indicator is extremely useful to trend-following traders, but due to its complexity it is not widely employed. This book presents its essential theory and implementation in C++. --> Gary Anderson developed a detailed and profound theory of market behavior that he calls The JANUS Factor. This theory enables computation of several powerful indicators that tell us, among other things, when trading opportunities are most likely to be profitable and when we should stay out of the market. This book provides the fundamental theory behind The JANUS Factor along with extensive C++ code. 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.

Review: Mathematically sound methods to identify trading system problems and fix them in plain English - One of those books that pretty much every trader should both have on his/her shelf and should read. Masters addresses techniques for ascertaining whether "here today, gone tomorrow, back the day after" results are an artifact of your system or market doldrums. If it is your system, some of his techniques could, possibly, cure the problem. Masters also uses several well known indicators such as RSI, MACD and On Balance Volume to demonstrate how at least one of the methods he provides does improve performance. This allows the reader to see how to use the math (C++ code provided) so that each of us can use the approach on our own inventions. Dr. Masters also provides sections on amalgamating two or more markets into systems, and the problems one can encounter as a result. I have not gone through these sections in detail in no small part because I am a day-trader in futures and have found no application for an amalgamation, at least not in the approaches I have been using. However, the math seems solid. Finally, the author provides a section on using selected portions of The Janus Theory which he personally uses and has found to be profitable. I have coded in several of his ideas. Some made no difference which was nice in that it implied statistical stability for that bit of code. One idea that I use idiosyncratically actually behave less well after the "standard stabilization fix" and a couple other were improved. I am not finished combining the author's ideas with my own, but, inasmuch as I posted a complaint against desertcart service, which desertcart quickly took down, under the aegis of a very negative score on this book, I thought it best to get my actual opinion of the book up quickly (now that I actually have it, only a little after the quick delivery I pay for -- he said grumpily) lest there be confusion as to my view of the importance (quite) and value (much) of this book.
Review: Unique (I think) - A unique book for anyone who uses technical indicators to inform his trading or investment decisions--or at least I have never seen another book like it. Statistically sound computation of indicators.

## Technical Specifications

| Specification | Value |
|---------------|-------|
| Best Sellers Rank | #886,521 in Books ( See Top 100 in Books ) #331 in Business Statistics #333 in Business Planning & Forecasting (Books) #735 in Statistics (Books) |
| Customer Reviews | 4.3 out of 5 stars 33 Reviews |

## Images

![Statistically Sound Indicators For Financial Market Prediction: Algorithms in C++ - Image 1](https://m.media-amazon.com/images/I/71Zn75EWN-L.jpg)

## Customer Reviews

### ⭐⭐⭐⭐⭐ Mathematically sound methods to identify trading system problems and fix them in plain English
*by R***N on December 2, 2019*

One of those books that pretty much every trader should both have on his/her shelf and should read. Masters addresses techniques for ascertaining whether "here today, gone tomorrow, back the day after" results are an artifact of your system or market doldrums. If it is your system, some of his techniques could, possibly, cure the problem. Masters also uses several well known indicators such as RSI, MACD and On Balance Volume to demonstrate how at least one of the methods he provides does improve performance. This allows the reader to see how to use the math (C++ code provided) so that each of us can use the approach on our own inventions. Dr. Masters also provides sections on amalgamating two or more markets into systems, and the problems one can encounter as a result. I have not gone through these sections in detail in no small part because I am a day-trader in futures and have found no application for an amalgamation, at least not in the approaches I have been using. However, the math seems solid. Finally, the author provides a section on using selected portions of The Janus Theory which he personally uses and has found to be profitable. I have coded in several of his ideas. Some made no difference which was nice in that it implied statistical stability for that bit of code. One idea that I use idiosyncratically actually behave less well after the "standard stabilization fix" and a couple other were improved. I am not finished combining the author's ideas with my own, but, inasmuch as I posted a complaint against Amazon service, which Amazon quickly took down, under the aegis of a very negative score on this book, I thought it best to get my actual opinion of the book up quickly (now that I actually have it, only a little after the quick delivery I pay for -- he said grumpily) lest there be confusion as to my view of the importance (quite) and value (much) of this book.

### ⭐⭐⭐⭐⭐ Unique (I think)
*by G***N on September 14, 2025*

A unique book for anyone who uses technical indicators to inform his trading or investment decisions--or at least I have never seen another book like it. Statistically sound computation of indicators.

### ⭐⭐⭐⭐⭐ In depth code samples of primary stock indicators
*by R***K on December 1, 2020*

The book is written in Master's semi-introductory style, which may take a bit of getting used to it. However, he delivers a depth of insight formed from years of testing and modifying stock indicator code. His insights are highly valuable and can rapidly save you years of hit and miss effort on your part. The most valuable part of the book is how to stabilize leading indicators for general statistical reliability. If you use Master's suggestions and apply them well your stock buy and sell positions should be significantly more profitable than those given by standard stock review sites. Be advised, Masters is not giving away his final code. You will have to apply his advice and do some rigorous testing to confirm his advice. This is not a book for amateurs. You will have to be able to program in C++ expertly to take advantage of his extensive experience or know someone who does.

## Frequently Bought Together

- Statistically Sound Indicators For Financial Market Prediction: Algorithms in C++
- Permutation and Randomization Tests for Trading System Development: Algorithms in C++
- Testing and Tuning Market Trading Systems: Algorithms in C++

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*Product available on Desertcart France*
*Store origin: FR*
*Last updated: 2026-09-25*