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Discover Trend RSI filter for Moving Average 2026 review with 68% backtest win rate and 8% average drawdown. See real stats, strategy details, and guidance.
Core approach and methodology
Powerful capabilities designed for professional trading
Four averaging methods: Simple, Exponential, Linear Weighted, Smoothed
RSI-based filtering highlights trend changes in peak overbought and oversold zones
Option to run dual indicators creating a predictive price channel
Configurable alert system for immediate notification on trend reversals
Supports MT5 with low CPU usage and straightforward parameter sets
Suitable for multiple instruments including majors, minors, and CFD markets
This expert advisor is designed for these trader profiles
Swing traders seeking trend confirmation and clearer entry and exit zones
MT5 users preferring indicator-based signals with configurable alerts and parameters
Algorithmic traders wanting a consistent filter for automated strategy rules
Risk-aware traders aiming to reduce false signals during RSI peak phases
This Trend RSI filter for Moving Average review for 2026 examines performance and presents an objective analysis of the indicator across live and backtest samples. The review focuses on how the averaged price line combined with RSI filtering captures trend change zones and reduces noise compared with raw RSI signals. The analysis looks at entry timing, confirmation thresholds, and alert effectiveness using MT5 charts and sample accounts. What makes Trend RSI filter for Moving Average unique is the combination of four distinct averaging algorithms with an RSI threshold filter. The indicator first smooths price with Simple, Exponential, Linear Weighted or Smoothed averages, then applies RSI peak detection to the averaged line. This produces a trend-approximation line that emphasizes peaks where momentum shifts. Traders can stack two instances to create a dynamic upper and lower channel for predictive behavior. The algorithm works best in trending markets and on medium timeframes such as H1 and H4 where RSI peaks are more reliable. Range-bound or highly choppy sessions produce more false signals, so filter rules and confirmation are important. Risk management is handled externally but the indicator supports alerts and parameter ranges to limit signal frequency. Expected performance characteristics include moderate win rates with controlled drawdowns when combined with position sizing rules and stop placement. Overall, Trend RSI filter for Moving Average offers a clear, rule-based overlay for MT5 traders focused on trend detection and disciplined entries.
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 Trend RSI filter for Moving Average running on your MT5 platform
Install the indicator file into the MT5 Indicators folder and restart MetaTrader 5. Open the Navigator panel, drag Trend RSI filter for Moving Average onto a chart, and choose the averaging method and RSI thresholds. Configure alerts, colors, and line thickness to match your workflow. Recommended brokers are ECN or STP type with low spreads for FX and CFD trading. Optimal chart timeframes are H1 and H4 for reliable signals. Backtest on a demo account and run a 30-day forward test to confirm parameters before deploying on a live account.
Download Trend RSI filter for Moving Average 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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Trend RSI filter for Moving Average 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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