MT5 Vertical Scroll - MetaTrader 5용 지표

Neural Loss-Pattern Auditor trains a small feed-forward neural network, written from scratch in native MQL5, on closed-deal history to test whether behavioral and market-context features predict which trades are more likely to lose. It reports an accuracy uplift over a naive baseline, a probability-calibration table, a permutation feature-importance ranking, and a configurable A-F composite grade with recommendations. On first run it uses a built-in synthetic demo, so the output is visible immediately with no setup; switch one input to InpUseDemoData=false to analyze real account history instead. Pure MQL5: no external libraries, no Python, and no AI service of any kind.

Detects 3-candle Fair Value Gaps (price imbalances) and draws them as boxes that extend live until price trades back through the gap. Detection runs only on fully closed bars, so gaps never flicker in and out as the current candle forms.