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.

Performance expectations for Bazooka EA center on a balance between win rate and risk-reward. Live and backtest samples typically show win rates in the 60-75% range depending on pair and timeframe, with an observed maximum drawdown between 6-12% in properly sized accounts. Trade frequency is modest: users can expect an average of 3-10 trades per week on major pairs when using the default M15 configuration. Account requirements recommend starting with at least $1,000 for micro lot testing and $5,000 for live deployment with conservative risk. Timeframe considerations stress using M15 default settings alongside higher timeframe trend confirmation for optimal results.

Bazooka EA falls into a moderate risk category when configured with default settings and conservative risk per trade in place. The stop loss strategy is configurable and can be fixed or volatility-based; the EA recommends a per-trade risk of 0.5-1.5% equity to manage drawdown exposure. Position sizing adapts to account size or uses fixed lots, allowing users to tailor risk to their tolerance. Vulnerabilities include erratic performance during low-volatility, sideways markets and sharp fundamental events, where signal noise may increase. Recommended account size for live use starts at $5,000 to absorb typical multi-week drawdowns while preserving compounding potential. Bazooka EA includes daily loss limits to limit prolonged adverse runs.

Install Bazooka EA by copying the expert file into the MT4 Experts folder and restart the platform to load the EA. Attach Bazooka EA to an M15 chart and enable automated trading; confirm Allow DLL imports if required by your broker. Key parameters to configure include per-trade risk percentage, maximum daily loss, and choice of fixed or equity-based lot sizing. Recommended brokers are low-spread ECN or STP providers with reliable order execution and low slippage. Run forward testing on a demo account for 4-8 weeks and perform a short optimization for your selected currency pairs before moving to live funds.