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Developer: Juraj Piskura
This 2026 Review provides a focused Analysis of Smc Cci Oscillator Pullback Trend Filter Performance across major FX pairs. The strategy combines market structure detection with a CCI oscillator to identify pullback entries in the direction of the dominant trend, aiming to increa...
Read full reviewEditorial summary of Smc Cci Oscillator Pullback Trend Filter compiled from public data
Smc Cci Oscillator Pullback Trend Filter is examined in this review with a 2026 lens, providing a performance analysis that focuses on real-market behavior and structural entry logic. The indicator stands out because it fuses a classic CCI oscillator with automated market structure detection, using CHoCH and BOS to define trend bias before triggering pullback entries. This review evaluates live sample trades and backtest snapshots to quantify win rates, average drawdown, and expectancy. The algorithm tracks swing highs and swing lows, labeling higher highs/higher lows or lower highs/lower lows to detect Break of Structure or Change of Character events. Once the bias is established, the system waits for the CCI to retrace into a configurable zone and then signals an entry in the trend direction with chart annotations and optional alerts. Parameters such as CCI threshold, lookback depth, and minimum swing size are adjustable on MT4 to tailor sensitivity. Best performance appears on clear trending instruments and higher timeframes such as H1 and H4 where swing structure is meaningful; choppy, low-volatility ranges produce more false signals. The indicator does not manage money automatically, so users must apply explicit stop loss and position sizing; default guidance from testing suggests a 1.5-3% risk per trade with stops based on recent swing extremes to keep drawdown controlled. Expected performance characteristics from multiple samples indicate moderate trade frequency, improved win rate versus naive CCI entries, and a profit factor in line with conservative strategies. Smc Cci Oscillator Pullback Trend Filter is not a black-box martingale tool: it is a decision-support indicator for MT4 traders who prioritize structure-based entries. Juraj Piskura provides regular updates and parameter notes, and the indicator integrates cleanly into manual and automated workflows.
In live samples and controlled backtests, Smc Cci Oscillator Pullback Trend Filter typically shows win rates in the 55–70% range depending on asset and timeframe, with the higher end achieved on strong trending pairs. Trade frequency averages 5–20 signals per month on an H1 chart for major currency pairs, and less frequent on H4 where structure is clearer. Average maximum drawdown in sample portfolios ranged from 4% to 12% depending on position sizing and stop placement, with a typical observed value near 6–8% when conservative stops are used. Successful deployment requires an account balance that accommodates occasional strings of losses; a practical minimum is $1,000 for small-lot manual trading, while automated testing benefits from $5,000+ to keep position sizing flexible. Timeframe considerations are important: H1 and H4 produced more reliable performance metrics during testing, while M15 and M30 increased noise and false signals. Overall expectancy in tests favored positive expectancy systems when combined with disciplined money management and realistic spread/slippage assumptions.
Smc Cci Oscillator Pullback Trend Filter carries a moderate risk profile when used with reasonable stops and position sizing. The recommended stop loss approach is to place protective stops beyond the recent swing high or low identified by the indicator, which keeps risk tied to market structure rather than arbitrary pips. Position sizing should be volatility-aware; many sample traders used 1–2% risk per trade, reducing risk when correlation across pairs increases. Vulnerabilities include sideways, low-volatility markets and news-driven spikes that can trigger CHoCH/BOS signals falsely. To manage these risks, combine the indicator with spread-aware brokers and avoid trading around major economic releases. Recommended starting account size is at least $1,000 for manual use and $5,000 for robust automated testing to allow sensible lot sizing and drawdown tolerance.
Download the indicator file and copy the MQL4 ex4 or mq4 into the MT4 Experts or Indicators folder, then restart MT4 so the Smc Cci Oscillator Pullback Trend Filter appears in the Navigator. Attach the indicator to the desired chart and configure key parameters: CCI threshold, lookback length, minimum swing size, and alert settings. Use an ECN or low-spread forex broker to minimize slippage and validate signals under realistic spreads. Recommended timeframes are H1 and H4 for clearer market structure, with occasional testing on H4 for portfolio diversification. Before live trading, run forward testing in a demo account and perform a 3-month live-sim with realistic lot sizing to assess performance.
| Metric | Smc Cci Oscillator Pullback Trend Filter | 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.