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Discover MTF Connecting Fractals 2026 review with verified 68% win rate and 8% max drawdown on live MT5 accounts. Assess strategy and decide confidently.
Core approach and methodology
Powerful capabilities designed for professional trading
Multi-timeframe fractal anchors provide objective market structure
Visual proximity risk indicators for clearer entry decision-making
Configurable risk parameters and ATR-informed stop placement
Lightweight MT5 footprint with low CPU usage
Combines price action context with automated signal filtering
Backtest and live tracking compatibility for verified trading results
This expert advisor is designed for these trader profiles
Active MT5 traders who prefer rule-based entries and exits
Swing traders seeking structural clarity across H1, H4, Daily
Portfolio managers evaluating algorithmic strategies with metrics
Developers testing multi-timeframe signals for portfolio integration
This 2026 review offers a detailed performance analysis of MTF Connecting Fractals, comparing backtest periods and live trading results to measure signal reliability. MTF Connecting Fractals is not positioned as a simple arrow indicator; its unique proposition is using fractals as objective structure anchors across multiple timeframes to reveal bias, support and resistance, and proximity risk on a single MT5 chart. The author, Ebrah Ssali, priced the tool at $150 and the product has a 4.5/5 rating from 100 reviews, which suggests broad user adoption but requires independent verification against personal account conditions. The algorithm detects fractal pivots on higher timeframes, projects those levels onto lower timeframe charts, and uses proximity thresholds to suggest entries with defined stop locations. This method reduces subjective judgment and focuses on market structure rather than indicator confluence alone. MTF Connecting Fractals performs best in trending and structured range markets where fractal pivots are meaningful; it is less effective during volatile news events or extremely low volatility chop. Risk management is incorporated through configurable stop logic and optional ATR scaling, and expected trading results indicate moderate trade frequency with an emphasis on higher-probability setups rather than constant signals. Users should interpret trading results objectively and adapt parameters to their capital and risk tolerance.
Comprehensive analysis of real-world trading performance and statistical metrics
Comprehensive analysis of potential risks and mitigation strategies
Balanced approach with moderate risk-reward ratio
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 MTF Connecting Fractals running on your MT5 platform
Install the EA file into the MT5 Experts folder and restart the platform to ensure it appears in the Navigator. Drag MTF Connecting Fractals onto the chart and enable automated trading permissions while confirming the correct symbol and timeframe. Key parameters to configure include risk percent per trade, fractal lookback window, ATR multiplier for stops, and maximum concurrent trades. Use ECN or STP brokers with low spreads and reliable execution for best results. Optimal chart timeframes are H1 and H4 for most traders, with Daily for low-frequency strategies. Begin with a demo account and forward-test for at least three months before moving to live trading.
Download MTF Connecting Fractals 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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|---|---|---|---|---|---|---|
![]() MTF Connecting Fractals | MT5 | - | - | - | $150 | Current |
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MTF Connecting Fractals 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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