Lear to trade like institutions: MT5 institutional order flow education with verified results

This detailed review from 2025 examines Lear to trade like institutions performance with a focused analysis of its order flow methodology and execution metrics. The review compares live MT5 results to backtests and explains how footprint charts, bid-ask imbalance and volume clusters drive the decision engine. Lear to trade like institutions is unique because it blends instructional education on Sierra Chart concepts with an MT5 expert advisor that implements the derived signals for automated trading. The author, Domantas Juodenis, documents the signal pipeline and provides parameter transparency so users can see how trade triggers are generated. The algorithm works by scanning for liquidity imbalances at microstructural levels, then filtering entries with session-aware volatility thresholds and adaptive stop placement. Lear to trade like institutions uses a combination of volume-weighted price acceptance and discrete footprint-based rejection zones to define entries and exits. Market conditions that suit the approach are intraday trending moves and high-liquidity FX and futures instruments; thin or highly news-driven sessions increase noise and require manual oversight. Risk management is explicit: every trade has a defined stop, maximum position size relative to account equity, and daily loss limits. Expected performance characteristics are moderate trade frequency with a target win rate in the low 60s percent and peak drawdowns typically constrained below double-digit percentages in tested configurations.