--- product_id: 519039380 title: "Independently Published Statistically Sound Indicators For Financial Market Prediction: Algorithms in C++" price: "£109.74" currency: GBP in_stock: true reviews_count: 5 url: https://www.desertcart.co.uk/products/519039380-independently-published-statistically-sound-indicators-for-financial-market-prediction-algorithms store_origin: GB region: United Kingdom --- # C++ coded precision Market prediction focus Statistically sound algorithms Independently Published Statistically Sound Indicators For Financial Market Prediction: Algorithms in C++ **Price:** £109.74 **Availability:** ✅ In Stock ## Summary > 📈 Decode the market’s future with precision and confidence! ## Quick Answers - **What is this?** Independently Published Statistically Sound Indicators For Financial Market Prediction: Algorithms in C++ - **How much does it cost?** £109.74 with free shipping - **Is it available?** Yes, in stock and ready to ship - **Where can I buy it?** [www.desertcart.co.uk](https://www.desertcart.co.uk/products/519039380-independently-published-statistically-sound-indicators-for-financial-market-prediction-algorithms) ## Best For - Customers looking for quality international products ## Why This Product - Free international shipping included - Worldwide delivery with tracking - 15-day hassle-free returns ## Key Features - • **Trusted by Peers:** Benefit from a 4.4-star rating across 30 reviews, proving its value in practical financial prediction. - • **C++ Algorithmic Mastery:** Harness the power of efficient, high-performance C++ code for real-time market analysis. - • **Data-Driven Market Insights:** Leverage statistically validated indicators to forecast financial trends with confidence. - • **Top-Ranked Business Forecasting:** Join a community of forward-thinking professionals with a #91 bestseller in Business Planning & Forecasting. - • **Independently Published Expertise:** Access unique, unbiased strategies crafted by a dedicated financial algorithm specialist. ## Overview Independently Published Statistically Sound Indicators For Financial Market Prediction: Algorithms in C++ is a niche, expertly crafted book offering statistically validated financial forecasting tools coded in C++. Ranked #91 in Business Planning & Forecasting, it empowers professionals to make data-driven investment decisions with trusted, high-performance algorithms. ## 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: Finally a helpful book - Really good book. You can tell that the author knows what he is talking about, and that he is an experienced practitioner himself. Besides explanations of the indicators, there are valuable comments on what they’re good for and how choose parameters. Review: Stamp of approval: “The Technical Analyst: 2020 Book of the Year” - On the title of the book there is a stamp (of approval): “The Technical Analyst: 2020 Book of the Year”! Absolute correct! In the last weeks I read through the book completely and learned a lot about indicator design. Although I have programmed indicators for a decade, reading the book was refreshing and brough a wealth of new knowledge. Even if I have intuitive understood “stationarity and scaling” over the years, reading the detailed explanation finally sealed it. The largest part of the book is about indicators, some well-known, some novel and new (for me at least), a discussion of how they work and then comes the implementation. Now to be truthful: having detailed C coding for each indicator might not be everyone’s kettle of fish, but if you work at a technical “in depth” level, then this is exactly what is required. The coding and the description to each indicator is well written and clear. Based on the source code (available from the author’s web page), I have now “ported” many of the indicators to TradingView to further test them -- porting the indicators is a straightforward exercise! And this is a tribute to the quality of the book and the code. An interesting gem revealed in the book is a program called “VarScreen” (available on the author’s web page). This program allows for all types of statistical evaluation, given deep insight into indicators, and the “interaction” between indicators – to be exact: it is pure statistics at its best practically applied. Overall, for designing and implementing indicators, a highly recommended book! ## Features - Item Category: Abis Book - Item Trademark: INDEPENDENTLY PUBLISHED - Manufacturer: Independently Published ## Technical Specifications | Specification | Value | |---------------|-------| | Best Sellers Rank | #209,682 in Books ( See Top 100 in Books ) #116 in Business Planning & Forecasting | | Customer Reviews | 4.4 out of 5 stars 31 Reviews | ## Images ![Independently Published Statistically Sound Indicators For Financial Market Prediction: Algorithms in C++ - Image 1](https://m.media-amazon.com/images/I/71Zn75EWN-L.jpg) ## Customer Reviews ### ⭐⭐⭐⭐⭐ Finally a helpful book *by R***N on 23 December 2023* Really good book. You can tell that the author knows what he is talking about, and that he is an experienced practitioner himself. Besides explanations of the indicators, there are valuable comments on what they’re good for and how choose parameters. ### ⭐⭐⭐⭐⭐ Stamp of approval: “The Technical Analyst: 2020 Book of the Year” *by +***M on 11 December 2025* On the title of the book there is a stamp (of approval): “The Technical Analyst: 2020 Book of the Year”! Absolute correct! In the last weeks I read through the book completely and learned a lot about indicator design. Although I have programmed indicators for a decade, reading the book was refreshing and brough a wealth of new knowledge. Even if I have intuitive understood “stationarity and scaling” over the years, reading the detailed explanation finally sealed it. The largest part of the book is about indicators, some well-known, some novel and new (for me at least), a discussion of how they work and then comes the implementation. Now to be truthful: having detailed C coding for each indicator might not be everyone’s kettle of fish, but if you work at a technical “in depth” level, then this is exactly what is required. The coding and the description to each indicator is well written and clear. Based on the source code (available from the author’s web page), I have now “ported” many of the indicators to TradingView to further test them -- porting the indicators is a straightforward exercise! And this is a tribute to the quality of the book and the code. An interesting gem revealed in the book is a program called “VarScreen” (available on the author’s web page). This program allows for all types of statistical evaluation, given deep insight into indicators, and the “interaction” between indicators – to be exact: it is pure statistics at its best practically applied. Overall, for designing and implementing indicators, a highly recommended book! ### ⭐⭐⭐⭐ I wish I had read this book sooner *by S***O on 13 January 2024* A great book that will teach you how to establish whether or not an indicator can be effective, and how to make your custom indicator effective with less trial-and-error efforts. Its first three chapters alone would be worth of the investment in this book, and there is much more after them. One star less because of the space occupied by C++ code. Most of the points made by this book have been developed as C++ code, that is also available for download (free and anonymous) at the author's website. Nowadays Python is de facto the preferred programming language for statistics and machine learning. For instance, you can calculate entropy in Python with two lines of code, when the author's code sprawls across one entire page of this book. To avoid being dependent by the programming language, it would be better to occupy the same space with numerical examples of calculation. Apart from C++, I recommend this book; it helped my automated trading efforts. ## 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++ --- ## Why Shop on Desertcart? - 🛒 **Trusted by 1.3+ Million Shoppers** — Serving international shoppers since 2016 - 🌍 **Shop Globally** — Access 737+ million products across 21 categories - 💰 **No Hidden Fees** — All customs, duties, and taxes included in the price - 🔄 **15-Day Free Returns** — Hassle-free returns (30 days for PRO members) - 🔒 **Secure Payments** — Trusted payment options with buyer protection - ⭐ **TrustPilot Rated 4.5/5** — Based on 8,000+ happy customer reviews **Shop now:** [https://www.desertcart.co.uk/products/519039380-independently-published-statistically-sound-indicators-for-financial-market-prediction-algorithms](https://www.desertcart.co.uk/products/519039380-independently-published-statistically-sound-indicators-for-financial-market-prediction-algorithms) --- *Product available on Desertcart United Kingdom* *Store origin: GB* *Last updated: 2026-11-14*