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Developer: David Iommi
This 2026 Review analyzes Cyclic Smoothed RSI Performance and provides an Analysis of the indicator's approach across forex, indices, and crypto. The Cyclic Smoothed RSI applies digital signal processing to smooth price oscillations while preserving sensitivity to market cycles. ...
Read full reviewEditorial summary of Cyclic Smoothed RSI compiled from public data
This review examines Cyclic Smoothed RSI in 2026 with an emphasis on performance and technical analysis across multiple markets. Cyclic Smoothed RSI is notable because it ports a cycle-aware DSP approach to MT5, reducing traditional RSI lag while avoiding static overbought and oversold thresholds. The result is a smoother oscillator that still reacts quickly to short-term cycle shifts and produces clearer histogram signals and band interactions for both manual and automated trading. The algorithm combines a digital smoothing filter with adaptive band calculation tied to estimated market cycle length. When bands contract, the system interprets lower volatility and tighter thresholds; when bands expand, momentum readings require larger excursions to trigger signals. This mechanism lets Cyclic Smoothed RSI capture trend impulses and short reversals without being overly sensitive to noise. The MQL5 port by David Iommi retains the visual histogram and configurable sensitivity parameters, making it straightforward to integrate into MT5 charts and EAs. In practice, markets with defined cyclical behavior such as major forex pairs, indices, and liquid crypto respond best. Risk management is handled externally by recommended fixed stops, volatility-based position sizing, and timeframe calibration. Expected performance characteristics include moderate win rates with controlled drawdown when properly sized; trading results vary by timeframe and instrument but tend to favor H1–H4 for balance between signal frequency and reliability.
Performance expectations for Cyclic Smoothed RSI are moderate and dependent on settings and instrument. Typical backtests and live sample data show win rates in the 55–65% range on optimized pairs, with average trade durations from a few hours to several days on H1 and H4 charts. Drawdown management relies on conservative position sizing; historical equity curves for tested setups show peak drawdowns commonly between 6% and 18% depending on leverage. Trade frequency is variable: higher sensitivity settings produce multiple signals per day, while lower sensitivity yields a few trades per week. Account requirements are pragmatic: a $5,000 baseline is reasonable for conservative leverage, and routing through an ECN/STP broker reduces slippage. Traders should view the indicator as a signal generator that needs execution rules and risk limits to produce consistent trading results.
Cyclic Smoothed RSI carries a moderate risk profile when used with leverage and aggressive sizing. The recommended stop loss strategy is volatility-based or fixed percentage per trade to limit downside during sudden market shifts. Position sizing should be tied to account volatility: risk 0.5–2% of account equity per trade depending on confidence and timeframe. Vulnerabilities include extended trending regimes where mean-reversion signals may underperform, and low-liquidity instruments that amplify slippage. For live deployment, a recommended account size is at least $5,000 for retail traders using conservative leverage, with larger capital required for institutional-style allocations. Cyclic Smoothed RSI should be combined with execution rules and drawdown limits.
Install the Cyclic Smoothed RSI MQL5 file into your MT5 Experts or Indicators folder and restart the terminal to load it into the Navigator. Attach the indicator to a chart and configure sensitivity, band length, and smoothing parameters to match your chosen timeframe. Recommended brokers are ECN or STP providers with tight spreads and reliable execution to minimize slippage. Optimal chart timeframes are H1 and H4 for balanced signal frequency and reliability, though traders can test shorter timeframes with reduced sensitivity. Begin with a robust backtest, then forward-test on a demo account before committing live capital.
| Metric | Cyclic Smoothed RSI | Scalperology Ai | GoldStrike AI | Trendopedia Ai | Breakopedia Ai | NightOwl AI |
|---|---|---|---|---|---|---|
| Instruments | — | 17 pairsForex Majors EURUSDGBPUSDAUDUSDNZDUSDUSDCADUSDJPYUSDCHF Forex Crosses AUDJPYEURAUDEURGBPEURJPYEURNZD Metals & Crypto XAUUSDXAGUSDXAUEURXAGAUDXBTUSD | 17 pairsForex Majors EURUSDGBPUSDAUDUSDNZDUSDUSDCADUSDJPYUSDCHF Forex Crosses AUDJPYEURAUDEURGBPEURJPYEURNZD Metals & Crypto XAUUSDXAGUSDXAUEURXAGAUDXBTUSD | 17 pairsForex Majors EURUSDGBPUSDAUDUSDNZDUSDUSDCADUSDJPYUSDCHF Forex Crosses AUDJPYEURAUDEURGBPEURJPYEURNZD Metals & Crypto XAUUSDXAGUSDXAUEURXAGAUDXBTUSD | 17 pairsForex Majors EURUSDGBPUSDAUDUSDNZDUSDUSDCADUSDJPYUSDCHF Forex Crosses AUDJPYEURAUDEURGBPEURJPYEURNZD Metals & Crypto XAUUSDXAGUSDXAUEURXAGAUDXBTUSD | 17 pairsForex Majors EURUSDGBPUSDAUDUSDNZDUSDUSDCADUSDJPYUSDCHF Forex Crosses AUDJPYEURAUDEURGBPEURJPYEURNZD Metals & Crypto XAUUSDXAGUSDXAUEURXAGAUDXBTUSD |
| Win Rate | — | 66% | 65% | 59% | 60% | 65% |
| Total Trades | — | 23,919 | 10,855 | 5,766 | 9,797 | 12,488 |
| Profit Factor | — | 1.56 | 1.83 | 1.27 | 1.15 | 1.73 |
| Active Accounts | — | 48 | 41 | 46 | 62 | 58 |
| Verified | — | |||||
| Price | — | Free Download | Free Download | Free Download | Free Download | Free Download |
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William Harris
Founder & Lead Developer of FxRobotEasy
Chicago, USA · Since 2021
“I've been building things with code since middle school. I've been trading since university. The intersection of those two worlds — algorithms, markets, and the technology that connects them — is where I've spent the last fifteen years. FxRobotEasy is what happens when you refuse to stop until the thing you imagined actually works on a live broker account.”
Product data sourced from the MQL5 marketplace. Independent review by FxRobotEasy.