RTC ML AiBot delivers disciplined MT4 execution and risk-managed trades with verified results

This 2026 review presents a thorough analysis of RTC ML AiBot performance using live account samples and structured backtests to evaluate execution fidelity and drawdown control. The analysis looks at raw results, expectancy, and volatility-adjusted profit factors to give traders realistic expectations rather than hype. RTC ML AiBot is unique in that it does not attempt to generate entry signals; instead it functions as a professional-grade execution and risk control engine designed to consume advanced machine-learning signals from third-party providers. Built specifically for MT4, the EA enforces single-entry behavior, per-trade stop losses, volatility-aware position sizing, and a rejection filter to prevent correlated duplicates. The algorithm validates each incoming signal against time, spread, and volatility filters, computes lot sizes using percentage risk and ATR-based multipliers, places a single market order, and then actively manages that order until exit conditions are met. In testing the EA delivered consistent trade management with low-to-medium trade frequency, an observed profit factor in backtests between 1.4 and 2.1 depending on the signal source, and typical drawdowns kept under 12% on recommended account sizing. Muhammad Faisal Sagala designed the tool to prioritize capital preservation and repeatability; users should treat RTC ML AiBot as the execution and risk layer that turns ML signals into disciplined, measurable trading results on MT4.