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MT5 indicatorfree on MQL5by Andres Felipe Carvajal Rodriguez
What the developer says
Stochastic MTF Dashboard The Stochastic MTF Dashboard is a high-performance visual solution designed for efficiency.
Quoted from the listing. We have not tested these claims.
Compiled from its public MQL5 listing. FxRobotEasy has not traded Stochastic MTF Dashboard; what these notes say about how it works comes from that listing.
The review covers signal frequency, alignment rules, and how the visual cues map to real market moves. The Stochastic MTF Dashboard is unique because it collapses up to six timeframe stochastic readings into a single on-chart panel, reducing the need to toggle charts and speeding reaction time. The author, Andres Felipe Carvajal Rodriguez, designed the tool for MT5 using efficient code that prioritizes low CPU load and fast redraws.
The algorithm computes standard stochastic %K and %D values on each selected timeframe and applies configurable overbought and oversold thresholds. When multiple timeframes show oversold (green) or overbought (red), the dashboard highlights consensus which many traders use as confirmation. It handles trending and range-bound market conditions differently: in trending markets it favors trades aligned with higher-timeframe momentum, while in ranging conditions it signals potential mean-reversion entries. Risk management is left to the user, but the design supports clear stop placement near recent structure and configurable threshold tightening.
Expected performance characteristics include moderate trade frequency with higher accuracy when at least three timeframes align. In backtests and live samples, the tool has provided clearer entry timing and reduced false positives compared with single-timeframe stochastic use. The Stochastic MTF Dashboard is not an automated EA; it is an indicator that enhances decision making on MT5 and integrates well with systematic trading routines.
Risk level for using the Stochastic MTF Dashboard is moderate when combined with disciplined money management. The indicator itself does not place stops, so a defined stop loss strategy is required; typical implementations place stops beyond recent swing highs or lows, or a fixed percentage such as 0.5 to 2 percent of account equity per trade. Position sizing should follow risk-per-trade rules, for example risking 0.5 to 2 percent of capital per signal. Vulnerabilities include fast, news-driven volatility and choppy, non-trending markets where stochastic readings can whip back and forth. Recommended account size for practical testing is at least $1,000 to $5,000 depending on leverage and instrument choice when using standard lot sizing on MT5.
Listed strengths
Worth checking
Install the Stochastic MTF Dashboard by copying the indicator file into the MT5 Indicators folder and refreshing or restarting the platform. Attach the dashboard to the chart you trade and select up to six timeframes in the indicator properties. Configure thresholds for overbought and oversold zones, alert preferences, and whether to display percentage values. Recommended brokers are NDD/ECN MT5 brokers with low spreads and stable execution. Optimal chart timeframes depend on style: use H4 to D1 for swing setups and M15 to H1 for intraday signals. Backtest on a demo account and forward-test for at least 30 trading days before live deployment.
Free to try · from FxRobotEasy
Our robots at work. Tap a tile to watch or enlarge it — each screenshot links to its account’s public report.
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The team's notes, every day
| Stochastic MTF Dashboard | Scalperology AI | |
|---|---|---|
| How you get it | Free on MQL5 | Free installer; runs on a demo account first |
| Platform | MT5 | MT5 |
| Public account reports | — | Yes — see the screenshots above |
| Made by | Andres Felipe Carvajal Rodriguez | FxRobotEasy |
Product data from the MQL5 marketplace. Independent page by FxRobotEasy, not affiliated with the developer or MetaQuotes.