Phalanx Neural AI: Automated MT5 Gold Trading with Verified Performance

This 2025 review of Phalanx Neural AI provides a detailed performance analysis based on historical backtests, forward tests, and live-sample records for XAUUSD on MT5. The review centers on measurable outcomes and implementation realities, showing where the EA adds value and where limitations remain. Phalanx Neural AI distinguishes itself by using a DNN63 neural architecture tuned specifically for the M30 gold market and by emphasizing flow analysis and market microstructure rather than brute-force signal generation. The algorithm combines neural pattern recognition with a layered filter system that rejects low-quality contexts and seeks directional moves supported by liquidity flow. Angelo Marcelo Serafin developed the system with no grid and no martingale logic; trade decisions include strict entry criteria, dynamic stops, and profit management adapted to ECN execution. Phalanx Neural AI is programmed to minimize slippage and to operate reliably on prop-firm and retail ECN accounts when adequate spreads and execution are available. In practical terms, the EA performs best in trending or well-defined range break conditions on gold, where microstructure signals are consistent. Risk management uses per-trade sizing rules and time-based trade limits to control exposure. Expected performance characteristics include moderate trade frequency, a measured win rate, and drawdowns that are constrained by position-sizing rules. Overall, Phalanx Neural AI offers a transparent, data-driven approach to automated XAUUSD trading on MT5 suitable for users seeking reproducible, validated performance.