Perceptron Distance MA1: Automated MT5 Trading with Verified Performance and Risk Controls

The Perceptron Distance MA1 review for 2026 focuses on real-world performance and in-depth analysis of the underlying algorithm. This review highlights how Perceptron Distance MA1 combines a perceptron recruitment approach with engineered features derived from moving average distances, volatility bands, and momentum filters. The analysis uses live account samples and backtest validation to present monthly returns, win rate, and drawdown behavior over multiple market regimes. What makes Perceptron Distance MA1 unique is its explicit feature construction and retraining workflow, described by Roman Poshtar in his MQL5 articles that document geometry, optimization, and practical application. The algorithm does not rely on opaque deep learning layers; instead it uses a lightweight perceptron ensemble that selects and weights features dynamically, improving generalization and explainability. Perceptron Distance MA1 adapts thresholds based on recent volatility and uses distance-to-moving-average metrics to identify both trend continuation and short-term pullback entries. In practice, Perceptron Distance MA1 handles trending and mildly choppy markets best, reducing exposure during high-frequency noise and increasing participation when directional signals align. Risk management is explicit: ATR-based stop losses, fixed fractional risk per trade, and soft limits on consecutive losses. Expected performance characteristics include moderate win rates with asymmetric risk-reward profiling, sample live results showing consistent monthly volatility-adjusted returns. For traders using MT5, the EA offers reproducible configuration and clear logs for audit and parameter tuning.