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MT4 expert advisorfree on MQL5by Rajeev Ranjan Sharma
What the developer says
RRS Martingale is based on the Martingale strategy, which involves increasing the lot size opposite to the price movement and waiting for recovery.
Quoted from the listing. We have not tested these claims.
Compiled from its public MQL5 listing. FxRobotEasy has not traded RRS Martingale; what these notes say about how it works comes from that listing.
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.
RRS Martingale presents a moderate to aggressive risk profile depending on input configuration. Stop loss strategy is typically managed via exposure caps and optional hard stops rather than per-trade fixed SLs, which can limit catastrophic loss but may allow larger interim drawdowns. Position sizing uses calculated lot multipliers tied to TakeProfit values; this mathematical sizing reduces arbitrary increases but increases absolute exposure as sequences extend. Vulnerabilities include persistent trending moves and low-liquidity events where recovery may take longer than expected. Recommended account size depends on settings; for conservative LotMultiplier values a $2,000 to $5,000 account is suggested, while aggressive configurations may require significantly more.
Listed strengths
Worth checking
Install the EA by placing the RRS Martingale.ex4 or .mq4 file in the MT4 Experts folder and restart the terminal. Prefer brokers offering micro lots, low spreads, and reliable execution for recovery strategies. Optimal timeframes are M15 to H1 for balance between trade frequency and noise reduction.
Free to try · from FxRobotEasy
Our robots at work. Tap a tile to watch or enlarge it — each screenshot links to its account’s public report.
Scalperology AIby FxRobotEasy
Our multi-pair AI scalper — majors, gold and crypto
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The team's notes, every day
| RRS Martingale | Scalperology AI | |
|---|---|---|
| How you get it | Free on MQL5 | Free installer; runs on a demo account first |
| Platform | MT4 | MT5 |
| Public account reports | — | Yes — see the screenshots above |
| Made by | Rajeev Ranjan Sharma | FxRobotEasy |
Product data from the MQL5 marketplace. Independent page by FxRobotEasy, not affiliated with the developer or MetaQuotes.