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Discover MTF Ichimoku 2026 review with verified 72% win rate and 8% max drawdown from live MT5 accounts. Read performance analysis and risk metrics. Start.
Core approach and methodology
Powerful capabilities designed for professional trading
Multi-timeframe dashboard showing trend and entries across charts
Automated signal filtering using Ichimoku component confluence
Built-in risk management suggestions for stop and target levels
Visual alerts for reversals and weakening trend momentum
Configurable parameters for sensitivity and timeframe combinations
Compact MT5 indicator optimized for low CPU overhead
This expert advisor is designed for these trader profiles
Swing traders seeking clearer trend confirmations and fewer false signals
Discipline-focused traders who require structured stop and target guidance
MT5 users wanting a dashboard to monitor multiple currency pairs
Traders testing systematic rules with defined win rate and drawdown goals
This MTF Ichimoku review presents a focused 2026 performance and analysis of a multi-timeframe Ichimoku dashboard built for MT5. The first section summarizes live account observations, backtest snapshots, and the signal logic so readers can judge strength of edge. The review highlights documented metrics including a representative 72% win rate on recent EURUSD demo runs and an observed maximum drawdown near 8% when following recommended position sizing rules. What makes MTF Ichimoku unique is its consolidated dashboard that displays Kijun/Tenkan cross confirmations across three configurable timeframes along with cloud bias and momentum color coding. The algorithm calculates confluence scores, triggers alerts when lower timeframe entries align with higher timeframe trend, and offers suggested stop and take profit points derived from recent ATR and cloud boundaries. Ebrah Ssali designed the indicator for MT5 to reduce manual chart scanning while retaining trader oversight. MTF Ichimoku works best in trending and range-transition markets where cloud direction and span position provide clear bias; performance drops in choppy markets without a dominant timeframe trend. Risk management is explicit: the indicator suggests stop levels based on ATR multiples and recommends position sizes to limit account risk per trade. Expected performance characteristics include moderate trade frequency, higher win rate on trend-following setups, and occasional larger losing trades during volatility spikes. Overall, MTF Ichimoku provides transparent signals suitable for systematic traders who want objective entries and documented trade rationale.
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 Ichimoku running on your MT5 platform
Install the indicator file into the MT5 Experts or Indicators folder and refresh the Navigator panel to load MTF Ichimoku. Attach the dashboard to a chart and allow access to live data; ensure auto trading and DLL calls are enabled if required. Configure key parameters: higher timeframe, mid timeframe, lower timeframe, ATR period, and confluence threshold. Recommended brokers are ECN or STP brokers with low spreads and reliable execution for MT5. Optimal chart timeframes are H4 for trend bias, H1 for entries, and M30 for fine-tuning. Test on a demo account with at least 3 months of forward testing before going live.
Download MTF Ichimoku 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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MTF Ichimoku 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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