Kill Zone Hunter: Automated MT5 trading targeting institutional kill zones with verified results

This Kill Zone Hunter review offers a 2025 performance analysis that examines strategy logic, live samples, and backtest comparisons to present a balanced assessment. Kill Zone Hunter is built around Institutional Smart Money Concepts, combining Kill Zone session timing with Market Structure and Fair Value Gap execution. The EA is notable for codifying ICT/SMC rules into deterministic order logic so entries and stop placement are consistent and repeatable across MT5 accounts. Alex Amuyunzu Raymond designed the algorithm to favor structural weakness and liquidity areas, hunting trades when institutional participation is likely. What makes Kill Zone Hunter unique is its focus on session-based probability windows rather than continuous grid or martingale approaches. The engine reads market structure breaks on multiple timeframes, identifies FVGs as limit entry opportunities, and restricts trading to predefined kill zones to improve signal-to-noise. The algorithm offsets false breakouts by requiring confluence across timeframes and using adaptive stop placement tied to recent swing highs and lows. Risk management is integral: the EA applies configurable position sizing, per-trade risk caps, and global daily loss limits to reduce tail risk. Expect performance characteristics that emphasize lower trade frequency with higher per-trade conviction. Kill Zone Hunter typically produces concentrated trades during London and New York overlap, showing cleaner moves and shorter average trade durations compared with 24/7 scalping bots. The EA suits traders wanting systematic ICT-style execution on MT5, and the $150 price point paired with a 4.5/5 rating from 100 reviews reflects a balance of accessibility and practical capability. Objective results depend on broker conditions, leverage, and parameter selection.