Discussing the article: "The MQL5 Standard Library Explorer (Part 16): Building a Regime-Adaptive Expert Advisor"
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Check out the new article: The MQL5 Standard Library Explorer (Part 16): Building a Regime-Adaptive Expert Advisor.
We convert the Part 15 decision‑forest classifier into a regime‑adaptive Expert Advisor that decouples statistical inference from trading authority. The EA trains on completed bars, scores each new completed bar, and confirms stable bullish, neutral, or bearish regimes before acting. It then applies spread, ownership, risk, and execution checks to authorize opening, holding, closing, or blocking a position.
In Part 15, we defined three target classes from the following bar's return. A return below the negative threshold became bearish, a return inside the threshold band became neutral, and a return above the positive threshold became bullish. These are directional classes. They should not be confused with broader descriptions such as trending, ranging, or high-volatility conditions. Throughout this article, regime is shorthand for the classifier's persistent directional state, not a complete market-structure regime such as trend or range.
In this part, we preserve the same five input features and three labels. The change is architectural: the script becomes a reusable classifier class, while an EA decides whether a classification is sufficiently stable and safe to affect a position. This takes us from Point A, where the model prints diagnostic results, to Point B, where the model supplies a guarded directional state to a complete trading program.
Author: Clemence Benjamin