Bloomberg automated MT5 expert advisor delivering AI-driven multi-algorithm trading with verified performance

This Bloomberg review presents a 2025 performance analysis of an advanced AI/ML multi-algorithm trading system built for MT5. The review evaluates live account statistics, backtests, and configuration defaults such as a minimum deposit recommendation of $500+, default lot size 0.1, and primary timeframe M15. Bloomberg is authored by Shahryar Yeganeh Hajahmadi, and combines Deep Q-Network reinforcement learning with a five-network ensemble and meta pattern recognition to adapt as market structure shifts. What makes Bloomberg unique is its multi-layered decision architecture: a core Deep Q-Network drives policy selection while an ensemble of five networks provides consensus and reduces overfitting. The system uses continuous learning updates and meta pattern chart recognition to classify regimes, switching risk posture between trending and ranging conditions. Bloomberg analyzes M1 through D1 inputs but executes on M15 signals to balance responsiveness and signal quality. The algorithm handles liquid FX and major indices most effectively and shows conservative behavior on low-liquidity instruments. Risk management uses position-sizing heuristics, equity-based maximum drawdown limits, and dynamic stop placement driven by detected patterns rather than fixed distance only. Expected performance characteristics include steady monthly returns with periodic drawdown cycles; the system is designed to prioritize consistency and controlled volatility over aggressive one-shot gains. Overall, Bloomberg is a technically sophisticated MT5 expert advisor with transparent metrics and clear configuration requirements for live deployment.