NYSE Trading EA: Institutional Fair Value Gap Trading with Verified MT5 Results

This NYSE Trading EA: 2026 Performance review combines hands-on testing and statistical analysis to evaluate real-world results. The review includes live account snapshots, trade samples, and a performance analysis that compares win rate, average return per trade, and maximum drawdown over multiple market regimes. NYSE Trading EA is built to detect Fair Value Gaps—price imbalances left by large institutional orders—and to take advantage of mean reversion or continuation depending on gap context. What makes NYSE Trading EA unique is its emphasis on market structure rather than traditional indicators. The algorithm scans multiple timeframes to confirm gaps, measures liquidity context, and times entries to follow institutional flow. It applies volatility-adaptive filters and probabilistic thresholds to avoid low-probability setups. The engine supports both aggressive and conservative modes, letting traders trade smaller accounts or scale up to larger ones. The algorithm performs best in markets with clear order flow and periodic liquidity imbalances, such as equities and major FX pairs during overlap sessions. Risk management is explicit: the EA uses predefined stop loss levels, dynamic take profit rules based on gap size, and percentage-based position sizing. Expected performance characteristics include moderate trade frequency, positive expectancy per trade, and occasional multi-day holding periods when gaps resolve slowly. Ilia Stavrov designed the logic with systematic risk controls and transparent parameter sets for MT5 users.