Discussing the article: "Building a Neural Loss-Pattern Auditor in MQL5"

[MetaQuotes]

Check out the new article: Building a Neural Loss-Pattern Auditor in MQL5.

Aggregate metrics like win rate or profit factor miss sequence-dependent behavior, such as sizing up right after a loss. This MQL5 script trains a small native neural network on closed-deal history to estimate loss probability from behavioral and market-context features. It reports accuracy uplift over a baseline, probability calibration, and permutation feature importance, then combines them into a configurable A-F grade with concise, plain-language recommendations.

Author: Cristian David Castillo Arrieta