Pro Anomaly Regime detector: MT4 market state analysis for precise regime-based entries

This Pro Anomaly Regime detector review for 2026 examines performance and presents a methodical analysis of how the indicator identifies market regimes. Pro Anomaly Regime detector applies a rolling percentile distribution to a 750-period lookback window, calculating the mathematical rank of current price relative to history. That rank-based approach distinguishes it from momentum or moving-average systems by focusing on distributional anomalies rather than price derivatives. What makes Pro Anomaly Regime detector unique is its emphasis on statistical context: signals derive from where price sits in its empirical distribution, which can flag overbought or oversold regimes and transitions between trending and mean-reverting states. The algorithm computes percentile ranks and exposes configurable thresholds so traders can tune sensitivity. It performs best in markets with clear regime alternation, such as FX majors and liquid indices, and provides fewer reliable signals in extremely low-liquidity or one-off event-driven moves. Risk management is primarily left to the user, but the indicator is designed to be combined with volatility-adjusted stops and position-sizing rules. Expected performance characteristics include moderate win rates with controlled drawdowns when used as a filter; the tool is not an automatic order executor but a regime detector to improve decision quality. Tom Norbart built the MT4 implementation to be lightweight and integrative with existing EAs and manual workflows.