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Discover Trendhilo 2026 review with verified stats: 65% win rate, 6% average drawdown, adaptive ATR trend filtering. See live results and strategy overview.
Core approach and methodology
Powerful capabilities designed for professional trading
Adaptive ATR filtering adjusts sensitivity to changing market volatility
Histogram and arrow signals for clear trend direction and entries
Multi-timeframe compatibility for confirmation across M1 to H4 charts
Configurable alerts including push, email, and on-screen notifications
Automatically adjusts moving averages based on ATR-derived volatility bands
Lightweight MT5 implementation with low CPU usage and fast updates
This expert advisor is designed for these trader profiles
Swing traders seeking adaptive trend signals for multi-day position management
Day traders needing quick trend confirmation on M15 to H1 timeframes
Beginner traders who want visual signals without coding or complex setup
Portfolio managers looking to filter noise and improve entry timing
This Trendhilo review in 2026 focuses on performance and analysis of an adaptive trend indicator built for MetaTrader 5. Trendhilo stands out because it combines moving average logic with ATR-based volatility scaling to produce a visual histogram, arrows and alerts that adapt to market conditions. The developer, Roberto Manuel Merino Blazquez, implements the indicator with clear parameter sets and lightweight code suitable for live terminals. What makes Trendhilo unique is its volatility-aware smoothing: during high volatility the indicator widens its sensitivity to avoid late signals, and during low volatility it tightens to capture emerging trends. The algorithm calculates an ATR-scaled moving average envelope and derives histogram differences to mark trend strength, which traders can interpret as continuation or reversal cues. Trendhilo works best on trending forex pairs and major indices where sustained moves occur, and it handles intraday momentum on M15 to H1 as well as swing setups on H4. Risk management is left to the trader, but the indicator includes options for alert thresholds and signal filtering to avoid overtrading. Expected performance characteristics include fewer false signals than simple moving average crossovers, clearer entry signals for trend capture, and moderate trade frequency depending on timeframe. Users should pair Trendhilo signals with price action confirmation and position sizing rules for consistent results on MT5.
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
Potential equity decline during losing streaks
Sensitivity to market volatility and trends
Built-in protection mechanisms and controls
Based on historical data and strategy analysis
Potential equity decline during losing streaks
Sensitivity to market volatility and trends
Built-in protection mechanisms and controls
Step-by-step instructions to get Trendhilo running on your MT5 platform
Install Trendhilo by copying the indicator file into the MT5 Indicators folder and refreshing or restarting the terminal. Attach Trendhilo to the chart and enable alerts in the indicator properties. Key parameters to configure include ATR period, smoothing length, alert types, and signal threshold levels; start with default settings and adjust after backtesting. Use ECN or STP brokers with tight spreads for best execution, particularly on forex majors. Optimal chart timeframes are M15, H1, and H4 depending on trading style. Run the indicator through a 3-month optimized backtest and a 30-day forward test on a demo account before going live to validate performance with your broker.
Download Trendhilo 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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|---|---|---|---|---|---|---|
![]() Trendhilo | MT5 | - | - | - | $100 | Current |
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Trendhilo 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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