White Dragon Alpha AI: Automated MT5 trading with verified live performance and risk control

This 2026 review and performance analysis examines White Dragon Alpha AI using live Exness account reporting and structured backtests. The Review highlights actual trade-level results, average return per trade, and maximum observed drawdowns to give a balanced view of real-world behavior. White Dragon Alpha AI is notable for combining ChatGPT-4.0 derived signals with a custom Deep Learning Volume AI that prioritizes trades showing institutional-like volume patterns. Sarfraz built layered entry filters, multi-timeframe confirmation, and adaptive stop placement so the system seeks higher probability setups rather than high-frequency noise. What makes White Dragon Alpha AI unique is the fusion of natural language contextual inputs with quantitative volume anomaly detection. The algorithm first identifies market context through AI-driven pattern recognition and then validates entries with volume and momentum filters. It handles trending and range-bound conditions by adjusting volume thresholds and tightening stops during low liquidity or news events. Risk management is explicit: the system uses per-trade position sizing rules, progressive stop adjustments, and configurable maximum drawdown limits. Expected performance characteristics include moderate trade frequency with higher expectancy per trade; live Exness samples show steady edge with emphasis on capital preservation rather than aggressive returns. The review recommends realistic expectations, routine monitoring on MT5, and initial deployment on a demo or small funded account before full scaling.