MQL4 and MQL5 Programming Articles
Study the MQL5 language for programming trading strategies in numerous published articles mostly written by you - the community members. The articles are grouped into categories to help you quicker find answers to any questions related to programming: Integration, Tester, Trading Strategies, etc.
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Coyote Optimization Algorithm (COA)
Introducing an MQL5 implementation of the Coyote Optimization Algorithm: packs with local alphas, a median-based tendency, and built-in crossover enable parallel exploration of regions of the search space while keeping premature convergence in check. The algorithm is integrated into C_AO and has been tested on the standard test bench and in a composite anti-cheat test. The article includes code, pseudocode, and an analysis of the operators that enable the use of COA to optimize the parameters of a trading system.
Self-Learning SuperTrend: An Adaptive Machine Learning-Based Trend Indicator
The classic SuperTrend loses accuracy when the market regime changes because it uses fixed ATR parameters and a fixed multiplier. The article examines the architecture of ML SuperTrend Pro v2.00 written entirely in MQL5: a background test matrix with adaptive parameter updates, a regime grid as a context detector, an accuracy layer consisting of five filters, and Parabolic-style rendering with well-designed buffers. The article presents the principles of L1 regularization, the results of a comparison with the classic SuperTrend, and practical recommendations for deployment and integration via iCustom.