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mql5

  1. Developing a trading robot in Python (Part 3): Implementing a model-based trading algorithm

    by , 01-11-2025 at 02:26 PM
    In the first article of the series, we loaded the dataset, placed labels, enriched the dataset and also performed dataset labeling. The second article was devoted to the creation and training of the model, as well as implementation of cross-validation and bagging.

    Now that our model is trained and tested, it is time to start real trading using the MetaTrader 5 library for Python. This powerful library allows us to automate trading directly through Python using the functions
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  2. Automating Trading Strategies in MQL5 (Part 3): The Zone Recovery RSI System for Dynamic Trade Management

    by , 01-10-2025 at 07:04 AM
    In the previous article (Part 2 of the series), we demonstrated how to transform the Kumo Breakout Strategy into a fully functional Expert Advisor (EA) using MetaQuotes Language 5 (MQL5). In this article (Part 3), we focus on the Zone Recovery RSI System, an advanced strategy designed to manage trades and recover from losses dynamically. This system combines the Relative Strength Index (RSI) to trigger entry signals with a Zone Recovery mechanism that places counter-trades when the market moves
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