This article discusses the integration of machine learning capabilities within MQL5, a programming language used for trading strategies. By using Python’s data processing and machine learning libraries, traders can create sophisticated, data-driven models that adapt to market conditions. The process involves training predictive models with historical data, testing their effectiveness, and deploying them for real-time trading decisions.