Whale RSI and SMA (MT5) — review, price and free alternatives

Whale RSI and SMA review for 2026 focuses on measurable performance and objective analysis of a reversal-style Expert Advisor for MT5. This review highlights how the EA combines a 50-centered RSI extreme filter with a 200-period simple moving average proximity rule, and it reports on observable results users have logged alongside author-supplied parameters. The analysis pays particular attention to the EA's closed-bar approach (shift=1) which reduces in-bar flicker and tends to produce fewer but cleaner signals. Performance notes from users and testing environments corroborate a methodical design intent rather than a high-frequency scalp approach.

What makes Whale RSI and SMA unique is the single-parameter symmetry that creates both buy and sell thresholds around RSI=50 and the explicit proximity rule to the 200 SMA, which favors mean-reversion opportunities near longer-term structure. The algorithm computes RSI thresholds and only acts on a new candle on the chosen timeframe, minimizing false entries from intrabar volatility. This EA handles range-bound pullbacks and corrective swings more effectively than strong directional trends. Its risk management is rule-driven: fixed logic for entries and the recommendation to use ATR-based or percentage stop losses externally in account settings. Expected performance characteristics include moderate trade frequency, disciplined drawdown control when properly sized, and dependence on timeframe and instrument volatility, so results vary across EURUSD, GBPUSD, and major indices.

Whale RSI and SMA presents a moderate risk profile when used with conservative sizing and sensible stop placement. The EA itself filters signals but does not enforce dynamic money management, so users should adopt a stop loss strategy such as ATR-based stops or fixed percentage risk per trade. Position sizing of 0.5 to 2.0 percent risk per trade is recommended depending on account equity and volatility. Vulnerabilities include extended trending moves away from the 200 SMA and high-impact news events that produce intrabar gaps; the closed-bar approach mitigates but does not eliminate those risks. For practical deployment, a recommended account size starts at $2,000 or higher for micro-lot testing on major pairs, with larger capital advised before scaling positions.

Install the Whale RSI and SMA expert on MT5 by copying the EA file into the Experts folder and restarting the terminal, then attach it to a chart. Set the InpTF parameter to your preferred timeframe and confirm the 200 SMA and InpRSIThresholdDist values; default logic uses closed-bar data (shift=1). Choose an ECN or low-spread STP broker, enable automated trading and allow DLL imports if required. Optimal chart timeframes are H1 or H4 for balanced trade frequency and noise control. Backtest at least two years of tick or 1-minute data and forward test on a demo account to verify Results before live deployment.