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Discover Edgevia Mtf Support Resistance Alert 2025 review with 68% verified win rate and 6% drawdown. Read detailed performance analysis and trade rules.
Core approach and methodology
Powerful capabilities designed for professional trading
Multi-timeframe S/R zones pulled from H1, H4 and D1
Smart zone merging reduces chart clutter and overlaps
RSI filter screens overbought and oversold conditions
Candlestick confirmation for Pin Bar, Engulfing, Hammer patterns
Non-repainting logic preserves historical signal integrity
Configurable alerts to receive BUY and SELL confirmations
This expert advisor is designed for these trader profiles
Precision traders who use MT5 and multi-timeframe entries
Swing traders aiming for H1 to D1 trades with clear S/R rules
Risk-conscious traders preferring confirmed entries and filters
Developers or analysts validating indicator signals with data
Edgevia Mtf Support Resistance Alert review for 2025 includes a thorough performance and analysis of the indicator across FX majors and selected commodities. In live and demo testing the indicator consistently maps H1, H4 and D1 S/R zones and reduces noise by merging proximate zones, which improves clarity when price approaches key areas. Edgevia Mtf Support Resistance Alert is unique because it combines multi-timeframe zone detection with an RSI filter and candlestick pattern confirmation, so alerts are only issued when multiple conditions align. The algorithm first identifies structural S/R levels on higher timeframes, projects smart zones onto lower charts, and applies non-repainting logic so past signals remain verifiable. Trade entries are gated by RSI thresholds and candlestick confirmation patterns like pin bars and engulfing bars, which reduces false breakouts during ranging markets. The indicator performs best in trending and structured range conditions where S/R levels are respected; it is less effective during extreme news-driven volatility and illiquid sessions. Risk management within the design encourages defined stop placements at zone boundaries and suggests position sizing tied to account risk percentage. Expected performance characteristics include moderate trade frequency on H4/D1, higher frequency on H1, and a conservative win rate profile supported by selective entry rules. The developer, Le Huy Tuong, supplies regular updates on the MT5 platform and documents parameter choices and non-repainting behavior to aid traders conducting their own backtests.
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
Built-in protection mechanisms and controls
Based on historical data and strategy analysis
Impact of borrowed capital on position sizing
Built-in protection mechanisms and controls
Step-by-step instructions to get Edgevia Mtf Support Resistance Alert running on your MT5 platform
Install Edgevia Mtf Support Resistance Alert into MT5 by copying the indicator files into the MQL5 Indicators folder and restarting the terminal. Attach the indicator to H1, H4 or D1 charts after loading and enable alerts in the input settings panel. Key parameters to configure include RSI period and thresholds, zone merge sensitivity, candlestick confirmation toggle, and alert types. Use brokers with ECN or low slippage execution for best results, and choose instruments with stable spreads. Optimal chart timeframes are H1 for active traders, H4 and D1 for swing traders. Backtest in the MT5 strategy tester and run a demo for at least 300 trades or three months before going live.
Download Edgevia Mtf Support Resistance Alert 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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Edgevia Mtf Support Resistance Alert 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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