Support Vector Machines have long been used in fields such as bioinformatics and applied mathematics to assess complex data sets and extract useful patterns that can be used to classify data. This article looks at what a support vector machine is, how they work and why they can be so useful in extracting complex patterns. We then investigate how they can be applied to the market and potentially used to advise on trades. Using the Support Vector Machine Learning Tool, the article provides worked examples that allow readers to experiment with their own trading.
This is an easy-to-use tool for implementing Support Vector Machine Learning in your Expert Advisors, Indicators and other MetaTrader 5 projects.
Until now, the use of support vector machine classification has been limited only by advanced coders via external java and c++ dll libraries. This tool has been developed using only the standard MetaTrader 5 tools and provides advanced support vector machine functionality using a very simple interface.
Please note: this product is not an Expert...