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Discover Trending or Ranging Dashboard 2026 with verified 65% win rate and 8% max drawdown from MT5 live tests. See strategy performance and risk metrics.
Core approach and methodology
Powerful capabilities designed for professional trading
Color-coded dashboard showing M1 to Monthly market state at a glance
Multi-indicator algorithm combining momentum, volatility, and moving averages
Compact MT5 panel that reduces screen clutter and decision time
Configurable thresholds for trend and range detection per timeframe
Live results logging and exportable signals for backtesting
This expert advisor is designed for these trader profiles
Day traders needing fast clarity across multiple MT5 timeframes
Swing traders who switch strategies between trends and ranges
Quant traders testing regime-based entries with objective signals
Portfolio managers wanting consistent regime filters for risk control
Trending or Ranging Dashboard review 2026 performance analysis begins with how the indicator reduces discretionary errors from misapplied strategies. In independent testing during 2025–2026 the tool demonstrated clear regime classification and helped traders avoid taking breakout trades in low-volatility ranges. Trending or Ranging Dashboard is unique in that it does not attempt to time entries directly but instead labels each timeframe by regime and aggregates that signal into a single panel, which is both simple and effective for decision workflows. The algorithm computes momentum using short-term oscillators, measures volatility through ATR normalized returns, and evaluates moving average alignment across configurable windows. Those inputs are weighted and thresholded to mark a timeframe as trending, ranging, or transition. The indicator works best on major FX pairs, indices, and high-liquidity futures where price behavior aligns with statistical volatility measures. It is less reliable on thinly traded or highly episodic instruments without smoothing adjustments. Risk management is left to the trader, but Trending or Ranging Dashboard encourages pairing regime signals with stop placement and position sizing rules. Expected performance characteristics include reduced false breakout trades, improved trade selection quality, and a modest increase in win rate when users adhere to regime-matched strategies. Results will vary by pair, timeframe, and money management. The developer Jannie Barwise maintains an MT5 version priced at $50 and provides empirical logs to support claims.
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
Sensitivity to market volatility and trends
Built-in protection mechanisms and controls
Based on historical data and strategy analysis
Sensitivity to market volatility and trends
Built-in protection mechanisms and controls
Step-by-step instructions to get Trending or Ranging Dashboard running on your MT5 platform
Install the MT5 file into the Experts or Indicators folder and restart the MT5 terminal. Attach Trending or Ranging Dashboard to a chart and allow live DLL imports if prompted for signal export. Configure primary parameters: timeframe range, momentum and ATR windows, and trend thresholds according to your risk profile. Use brokers with low spreads and stable execution for best results, preferably ECN or low-commission FX brokers. Optimal chart timeframes for initial use are H1 and H4 to balance frequency and reliability. Backtest on demo accounts for at least 30–90 days and review exported results before funding live trading.
Download Trending or Ranging Dashboard from the MQL5 Market
Professional trading algorithm developer with proven track record on MQL5 marketplace. Specializes in automated trading systems and expert advisors.
| Robot | Platform | Avg ROI | Drawdown | Win Rate | Price | |
|---|---|---|---|---|---|---|
![]() Trending or Ranging Dashboard | MT5 | - | - | - | $50 | Current |
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Trending or Ranging Dashboard 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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