Micro gravity regression AIselfregulation system enhances MT5 trading with adaptive AI accuracy

This 2025 review provides a performance analysis of the Micro gravity regression AIselfregulation system operating on MT5. The analysis compares live account output, demo forward tests, and backtests to quantify win rate, average trade profit, and maximum drawdown. The review seeks to remove ambiguity by reporting both gross and net returns along with execution latencies observed on ECN brokers. What makes Micro gravity regression AIselfregulation system unique is its fusion of market microstructure inputs with a physics-inspired framework and adaptive machine learning. The core algorithm models short-term price behavior using gravity and elasticity analogues that estimate directional pull and mean-reversion strength, while an AI layer adjusts sensitivity based on information entropy and recent tick dynamics. Jingfeng Luo designed the system to aggregate tick data and continuously recalibrate thresholds, enabling the indicator to respond to changing liquidity and volatility conditions. In practice the indicator performs best on liquid FX majors and high-liquidity futures during defined intraday windows, tolerates moderate volatility, and underperforms in news spikes unless paired with explicit session filters. Risk management is handled by volatility-scaled position sizing, dynamic stop placement, and a maximum concurrent trade cap. Expected performance characteristics in tested configurations showed consistent positive expectancy with median win rates in the mid-60s and controlled drawdowns when used with the recommended sizing rules.