Apache MHL Moving Average: Automated MT4 Trading with Verified Results

The Apache MHL Moving Average review for 2025 includes a detailed performance analysis based on live and backtested XAUUSD results. This evaluation highlights how the advisor applies multiple moving averages on different timeframes to identify likely breakout points and confirm the direction of a trade. The review emphasizes verified metrics such as win rate, average trade duration, and observed drawdowns across sample live accounts. Paulo Roberto Da Costa designed the algorithm with a focus on systematic entries and configurable Martingale risk rules so traders can align settings with their risk tolerance and capital. What makes Apache MHL Moving Average unique is the combination of multi-timeframe moving average alignment with breakout verification logic and automated Martingale scaling. The EA monitors price relative to a set of moving averages on, for example, H1 and H4, waiting for synchronized breaks before initiating trades. It then uses a predefined multiplier chain to increase lot sizes after losses up to user-imposed limits, while fixed take profit levels attempt to capture momentum moves. The algorithm works best in trending conditions and when volatility provides clear breakout moves, but it includes parameters to avoid trading during low-liquidity times. Risk management is explicit in the settings: maximum consecutive Martingale steps, maximum lot cap, and account drawdown stop are all configurable. Expected performance characteristics typically show moderate monthly returns in trending months, higher variance during choppy sideways markets, and occasional extended drawdown sequences in extreme market shocks. Users should calibrate the EA on MT4 with realistic account sizing and stress-test with forward testing before live deployment.