RRS Martingale delivers automated MT4 recovery trading with controlled risk and math-based sizing

This RRS Martingale review in 2025 offers a practical performance analysis of a mathematically driven martingale EA running on MT4. The first objective is transparency: the developer Rajeev Ranjan Sharma provides an EA that replaces ad hoc martingale increases with formulas tied to TakeProfit and LotMultiplier so that recovery trades follow predetermined math rather than intuition. RRS Martingale is unique because it integrates these calculations directly into order placement, recalculating optimal lot sizes and sequencing based on user inputs and simulated expectancy models rather than fixed doubling patterns. In operation, RRS Martingale monitors open positions, calculates required recovery lots to reach a chosen TakeProfit, and opens additional positions according to the LotMultiplier parameter. The algorithm works best in markets that exhibit range-bound or mean-reverting behavior where recovery is likely within a defined horizon; it performs less predictably in extended trending phases without additional trend filters. Risk management is embedded through configurable maximum steps and exposure caps, and expected performance characteristics include higher recovery probability per sequence at the expense of occasional larger drawdowns. Users should note that RRS Martingale aims to minimize classic martingale risk but does not eliminate drawdown or capital requirements inherent to recovery strategies.