Bazooka EA: Automated MT4 trading for trend-following momentum and controlled risk

This Bazooka EA review includes a 2026 performance analysis that examines how the expert advisor performed from 2024 through the current year using default M15 backtest Open Price methods. The review compares backtested expectancy with forward-tested live metrics, noting win rate, typical drawdown, and trade frequency. The analysis focuses on objective numbers and behavior under different volatility regimes to inform realistic expectations. Bazooka EA stands out for combining trend confirmation with momentum filters, rejecting low probability setups and avoiding impulsive entries. The algorithm monitors higher timeframe bias while executing on M15 signals, which reduces noise and increases the chance of sustained moves. Davit Beridze coded position sizing tied to account equity and optional fixed lot sizing; risk per trade is configurable so the system can suit conservative to moderate risk profiles. In practice, Bazooka EA performs best in trending environments where momentum aligns with the higher timeframe trend and can underperform in choppy, low-volatility ranges unless filters are tightened. The EA includes measures for drawdown control such as session filtering, daily loss limits, and configurable stop loss placement. Expected performance characteristics include moderate win rate with positive expectancy, limited average trades per week to avoid overtrading, and steady equity growth when placed on appropriate pairs and brokers. Overall, this review highlights transparent settings, measurable metrics, and practical setup advice for traders evaluating Bazooka EA.