Marks fractal swing highs/lows as liquidity levels, then flags the exact bar where price wicks beyond one and closes back inside — a liquidity sweep / stop hunt — with an arrow and an optional price label. Sweep checks run only on closed bars, so signals never repaint.

This allows mt5 chart to scroll like tradingview chart with auto button to reset

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.

An interactive GUI panel for MetaTrader 5 designed for manual traders and quant developers. It automates dynamic position sizing based on exact account equity risk percentage, features one-click order execution (Buy/Sell), instant BreakEven, Close All functionality, and continuous real-time Trailing Stop management.