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Discover Clean Fractal Pro 2025 review with verified 62% H4 win rate on indices. See live performance, drawdown metrics, and practical trading guidance.
Core approach and methodology
Powerful capabilities designed for professional trading
Designed for H4 timeframe with trend-confirmed fractal signals
Filters signals by volatility to reduce false positive entries
Clear entry, stop loss, and target levels for each signal
Optimized for indices and large-cap stock instruments on MT4
Low signal frequency focusing on high-confidence trade setups
Lightweight MQL4 code with adjustable sensitivity and alerts
This expert advisor is designed for these trader profiles
Swing traders who prefer H4 charts and controlled trade frequency
Traders focusing on indices and large-cap stocks with clear trends
Discretionary traders seeking objective signal confirmation on MT4
Portfolio managers needing a low-noise indicator for position timing
This Clean Fractal Pro review for 2025 examines indicator performance through a transparent analysis of live and backtested data. The review focuses on win rate, average return per trade, drawdown, and trade frequency observed on H4 charts. Clean Fractal Pro differentiates itself by prioritizing signal quality over quantity: it only signals when multi-layer fractal validation and volatility filtering align. The result is fewer arrows and clearer decision points for traders using MT4. Clean Fractal Pro applies a fractal detection algorithm that identifies local highs and lows and then confirms those points with trend direction and a volatility gate. The indicator computes a short-term volatility measure and a trend filter derived from a smoothed moving average to avoid counter-trend noise. When conditions align, Clean Fractal Pro marks entries with a suggested stop and target, allowing traders to follow a consistent, repeatable plan. The algorithm works best in directional markets and on indices and large-cap stocks where fractal patterns persist longer than in highly volatile, range-bound forex pairs. Risk controls are embedded in recommended stop placement and suggested position sizing rules. In practice, Clean Fractal Pro shows moderate trade frequency and aims for positive expectancy by focusing on high-probability setups. Installation and parameter tuning are straightforward on MT4, and the indicator can be combined with broader portfolio risk rules. Overall, Clean Fractal Pro offers a systematic, lower-noise approach to fractal-based timing without overwhelming traders with signals.
Comprehensive analysis of real-world trading performance and statistical metrics
Comprehensive analysis of potential risks and mitigation strategies
Conservative trading strategy with capital preservation focus
Impact of borrowed capital on position sizing
Sensitivity to market volatility and trends
Built-in protection mechanisms and controls
Based on historical data and strategy analysis
Impact of borrowed capital on position sizing
Sensitivity to market volatility and trends
Built-in protection mechanisms and controls
Step-by-step instructions to get Clean Fractal Pro running on your MT5 platform
Install the Clean Fractal Pro MQL4 file into your MT4 indicators folder and restart the platform to load the indicator. Attach Clean Fractal Pro to H4 charts for indices or large-cap stocks and set sensitivity to default for initial testing. Configure key parameters including volatility threshold, trend filter length, and suggested stop/target multipliers before live use. Use regulated brokers offering tight spreads and reliable execution to minimize slippage. Run a two-week demo followed by a three-month forward test on a micro account to validate settings under live conditions before scaling.
Download Clean Fractal Pro from the MQL5 Market
Professional trading algorithm developer with proven track record on MQL5 marketplace. Specializes in automated trading systems and expert advisors.
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|---|---|---|---|---|---|---|
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Clean Fractal Pro is available on the official MQL5 marketplace. All data and performance metrics shown on this page are based on the original product listing.
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