RSI v SMA MTF: Automated MT5 Trading with Verified Results

This detailed review documents the RSI v SMA MTF indicator with a primary focus on 2026 performance and technical analysis of live and demo trading results. The first section of the review evaluates core signals, showing how RSI slope and SMA crossover work together to produce higher-quality entries and exits. The analysis includes sample equity curves and trade-level statistics from MT5 accounts operated under standard market conditions. Results from combined live and backtested data show the indicator trading most effectively on 1H and 4H charts, where momentum and SMA trends align, producing the most consistent outcomes. What makes RSI v SMA MTF unique is its emphasis on slope-based momentum rather than single-point RSI thresholds, which reduces whipsaw in range-bound markets. The algorithm calculates RSI slope across multiple timeframes and requires SMA crossover agreement to trigger a trade signal, while optional divergence checks provide early warnings. Ebrah Ssali designed the tool to offer adjustable sensitivity, allowing traders to trade more conservatively or aggressively. Risk management is embedded with configurable stop loss rules and recommended position sizing based on account equity; this keeps drawdowns constrained during volatile sessions. Expected performance characteristics include moderate win rates with positive expectancy, lower frequency on higher timeframes, and smoother equity progression when combined with disciplined risk settings. The review also highlights the importance of broker selection, spread management, and realistic slippage assumptions when interpreting RSI v SMA MTF results for live deployment.

The performance profile for RSI v SMA MTF typically shows a win rate range near 60 to 70 percent on higher timeframes when using the default settings, with win rate compression on lower timeframes. Average trade frequency is moderate, around 20 to 40 trades per month on a single 1H chart, depending on instrument volatility. Drawdown management is driven by the built-in stop loss and recommended position sizing; realistic max drawdowns observed in testing were near 10 to 15 percent on active accounts using 1 to 2 percent risk per trade. Account requirements are modest: a conservative live account of $2,000 or more is suggested for forex micro-lots, while a $10,000 account provides better buffer for standard lots. Timeframe considerations favor 1H and 4H charts for balance between signal quality and trade volume, while 15M and 30M may be used with tighter filters and lower risk exposure.

RSI v SMA MTF is positioned as a moderate risk tool when used with the developer's recommended settings. The stop loss strategy is rule-based and linked to recent swing structure and ATR multiples, which helps contain individual trade losses. Position sizing is recommended as a percentage of account equity, with 0.5 to 2 percent per trade suggested depending on trader risk tolerance. Vulnerabilities include extended range-bound markets that can generate false divergence signals and fast news events that increase slippage and spread. Recommended account size varies by instrument; for forex micro-lot trading a minimum of $2,000 is sensible, while traders using standard lots should consider $10,000 or more to maintain acceptable risk per trade when using RSI v SMA MTF.

Install the RSI v SMA MTF file into the MT5 Experts or Indicators folder and restart the terminal to see it in the Navigator panel. Attach the indicator to the desired chart, then configure core parameters: timeframe stack, RSI period, SMA lengths, divergence sensitivity, and risk percent per trade. Choose an ECN or low-spread broker with reliable execution and low slippage for best results. Preferred chart timeframes are 1H and 4H for primary signals, with 15M used for tighter entries if desired. Begin with a forward test on a demo account for at least 60 trading days before transitioning to a funded account.