Discussing the article: "Data Science and ML (Part 35): NumPy in MQL5 – The Art of Making Complex Algorithms with Less Code"
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Check out the new article: Data Science and ML (Part 35): NumPy in MQL5 – The Art of Making Complex Algorithms with Less Code.
NumPy library is powering almost all the machine learning algorithms to the core in Python programming language, In this article we are going to implement a similar module which has a collection of all the complex code to aid us in building sophisticated models and algorithms of any kind.
No programming language is entirely self-sufficient for every possible task we can think of creating through code, Every programming language depends on well-crafted tools which happen to be libraries, frameworks and modules to help tackle certain issues and convert some ideas into reality.
MQL5 is no exception. Designed primarily for algorithmic trading, its early functionality was mostly limited to trading operations. Unlike its predecessor, MQL4—considered a weaker language—MQL5 is far more powerful and capable. However, building a fully functional trading robot requires more than simply calling functions to place buy and sell trades.
To navigate the complexities of the financial markets, traders often deploy sophisticated mathematical operations including machine learning and Artificial Intelligence (AI). This has created a growing demand for optimized codebases and specialized frameworks that can handle complex computations efficiently.
A basic knowledge of Python and NumPy is required to fully grasp the contents of this Article.Author: Omega J Msigwa