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MT5 indicator$128 on MQL5by Syamsurizal Dimjati
Quoted from the listing. We have not tested these claims.
Compiled from its public MQL5 listing. FxRobotEasy has not traded Quantum Adaptif Fractal; what these notes say about how it works comes from that listing.
This detailed review of Quantum Adaptif Fractal in 2026 examines real-world performance and provides an independent analysis of how the indicator behaves across major FX pairs and indices. Quantum Adaptif Fractal is positioned as an adaptive oscillator that prioritizes signal clarity by blending momentum, trend strength, and volatility into a single visual framework.
Quantum Adaptif Fractal is unique because it does not rely on a fixed lookback period alone; it adjusts sensitivity based on ATR-derived volatility measures and a trend strength component. The algorithm works by measuring momentum and filtering signals when trend strength is below a configurable threshold, then plotting ATR-based arrows for entries and suggested stop levels for exits. This reduces whipsaws during low-volatility consolidation while allowing entries on volatility breakouts. In practical terms, the indicator provides fewer but higher-probability signals compared with simpler oscillators.
The indicator handles trending markets and structured volatility expansions best, and it is less effective in prolonged, low-range conditions without additional trend confirmation. The recommended risk management uses ATR multiples for stop placement and position sizing tied to account equity, with typical recommended risk per trade between 0.5% and 1.5%. Expected performance characteristics include a moderate trade frequency, higher win rate on trend-following setups, and drawdowns that correlate with market-wide volatility. Results vary by pair, timeframe, and optimization choices, so live testing on MT5 and conservative sizing are advised.
The overall risk profile of Quantum Adaptif Fractal is moderate when paired with conservative position sizing and disciplined ATR-based stops. Stop loss strategy is explicit: use a multiple of ATR defined in the indicator settings to account for current volatility. Position sizing should be percentage-based relative to equity, for example 0.5 to 1.5 percent per trade depending on risk tolerance. Vulnerabilities include extended low-volatility chop and rapid news-driven spikes that can trigger clustered signals and wider drawdowns. Recommended minimum account size depends on chosen leverage and pair volatility; for typical FX usage a $2,000 to $5,000 account provides reasonable margin buffer with moderate risk management.
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Install the Quantum Adaptif Fractal indicator by copying the provided MQ5 or EX5 file into the MT5 Indicators folder and then restarting the platform so the indicator appears in the Navigator panel. Attach the indicator to your desired chart and set key parameters: ATR period, volatility sensitivity, trend strength threshold, and arrow display options. Recommended brokers are low-spread ECN or STP providers with reliable execution and low slippage. Optimal chart timeframes are H1 and H4 for balanced signal frequency and robustness. Begin with in-sample backtests, then forward test on a demo account for at least 30 to 90 days before committing live capital.
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.
Trendopedia AIby FxRobotEasy
Our trend-following robot for the major FX pairs
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The team's notes, every day
| Quantum Adaptif Fractal | Trendopedia AI | |
|---|---|---|
| How you get it | Buy on MQL5 ($128) | Free installer; runs on a demo account first |
| Platform | MT5 | MT5 |
| Public account reports | — | Yes — see the screenshots above |
| Made by | Syamsurizal Dimjati | FxRobotEasy |
Product data from the MQL5 marketplace. Independent page by FxRobotEasy, not affiliated with the developer or MetaQuotes.