Syntetic Mean Reversion: Automated MT5 Trading with Verified Results and Consistent Entries

This Syntetic Mean Reversion review presents a 2026 performance analysis that examines live and backtested results, risk metrics, and real-world applicability on MT5. The review highlights how the indicator identifies overextension zones, explosive breakouts, and probable reversal levels by measuring price deviation from a dynamic equilibrium. Performance Results across sample live accounts show consistent signal clarity and a stable edge when combined with disciplined risk rules. Syntetic Mean Reversion is unique because it consolidates multiple momentum and extension measures into one clean window with discrete, non-repainting signals. The algorithm computes distance from a dynamic equilibrium and applies thresholds that classify signals as exhaustion, explosion, or reversal. It handles trending bursts and mean-reversion episodes well, making it suited to varying market regimes. Risk management is left to the user, but recommended approaches include fixed fractional sizing, short-duration stops for scalps, and wider stops for swing entries. Expected performance characteristics include moderate trade frequency, measurable win rates above 60% in optimized conditions, and controlled drawdowns when position sizing aligns with account equity. The indicator integrates easily into MT5 workflows and complements automated systems developed by Danny Giovanni Romero Lozano.