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Developer: Syamsurizal Dimjati$30
This 2026 Review examines Market Structure Quantum Scanner performance and Analysis across multiple live and demo data sets, focusing on timeframe selection and noise filtering. The indicator uses simultaneous multi-timeframe monitoring to quantify market structure quality and hi...
Read full reviewEditorial summary of Market Structure Quantum Scanner compiled from public data
This Market Structure Quantum Scanner review examines 2026 performance analysis and practical trading results on MT5, combining objective metrics with hands-on observation. Market Structure Quantum Scanner is unique in treating market structure as a quantifiable metric, converting price action characteristics across four configurable timeframes into a single visual score and ranked list. The developer, Syamsurizal Dimjati, designed the indicator to avoid indicator clutter by prioritizing structure quality over common oscillators. The core algorithm calculates trend consistency, swing point alignment, and volatility-normalized structure strength, then aggregates those values across timeframes. Traders can adjust the sensitivity levels, the number of monitored periods, and the aggregation window to match higher-frequency scalping or longer swing approaches. Market Structure Quantum Scanner works best in trending and structured range conditions where swing points and higher timeframe alignment matter; it gives less reliable signals during parabolic breakouts or instrument-specific news spikes. Risk management is left to the trader but the dashboard encourages single-timeframe confirmation and conservative entry sizing. Expected performance characteristics vary with settings; in standard tests the indicator-guided entries favor low to moderate trade frequency with improved risk-reward ratios versus blind timeframe selection. Market Structure Quantum Scanner appears most effective when combined with clear stop placement, position sizing rules, and periodic validation on live accounts.
Typical trading results with Market Structure Quantum Scanner depend on settings and timeframe choice. Win rate expectations in tested configurations range between 55% and 70% on H1 and H4 setups when combined with disciplined stops. Drawdown management is primarily achieved by selecting conservative structure thresholds; sample tests show peak drawdowns near 4% to 10% on adequately sized accounts. Trade frequency is moderate: expect roughly 8 to 35 trades per month depending on instrument and timeframe. Account requirements are modest but practical: a $500 to $2,000 account with reasonable leverage can support sensible position sizing. Timeframe considerations matter—shorter timeframes increase signal volume and reduce per-trade edge, while H4 and D1 choices produce fewer but higher-quality setups.
Overall risk level for Market Structure Quantum Scanner is moderate when used with disciplined position sizing and strict stop placement. The indicator itself does not place stops; recommended approach is a volatility-based stop or ATR multiple tied to the selected timeframe. Position sizing should use fixed fractional risk per trade, typically 0.5% to 2% of account balance depending on trader risk tolerance. Vulnerabilities include news-driven volatility, thinly traded instruments, and rapid regime changes that can temporarily invalidate structure readings. Recommended minimum account size is $500 for demo validation and $1,000 or more for live trading with diversified positions. The tool supports risk-aware decision making but depends on trader-imposed controls.
Install the indicator file into the MT5 indicators folder and refresh the platform to load Market Structure Quantum Scanner. Attach the indicator to a chart and configure the four monitored timeframes, sensitivity thresholds, and aggregation window to match your strategy. Recommended brokers are ECN or STP accounts with low spreads and stable pricing feeds to avoid false structure signals. Optimal chart timeframes are H1 and H4 for a balance of signal quality and frequency, with D1 for longer-term confirmation. Backtest on a demo account and forward-test for at least 60 days to evaluate trading results and refine parameters before live deployment.
| Metric | Market Structure Quantum Scanner | Scalperology Ai | GoldStrike AI | Trendopedia Ai | Breakopedia Ai | NightOwl AI |
|---|---|---|---|---|---|---|
| Instruments | — | 17 pairsForex Majors EURUSDGBPUSDAUDUSDNZDUSDUSDCADUSDJPYUSDCHF Forex Crosses AUDJPYEURAUDEURGBPEURJPYEURNZD Metals & Crypto XAUUSDXAGUSDXAUEURXAGAUDXBTUSD | 17 pairsForex Majors EURUSDGBPUSDAUDUSDNZDUSDUSDCADUSDJPYUSDCHF Forex Crosses AUDJPYEURAUDEURGBPEURJPYEURNZD Metals & Crypto XAUUSDXAGUSDXAUEURXAGAUDXBTUSD | 17 pairsForex Majors EURUSDGBPUSDAUDUSDNZDUSDUSDCADUSDJPYUSDCHF Forex Crosses AUDJPYEURAUDEURGBPEURJPYEURNZD Metals & Crypto XAUUSDXAGUSDXAUEURXAGAUDXBTUSD | 17 pairsForex Majors EURUSDGBPUSDAUDUSDNZDUSDUSDCADUSDJPYUSDCHF Forex Crosses AUDJPYEURAUDEURGBPEURJPYEURNZD Metals & Crypto XAUUSDXAGUSDXAUEURXAGAUDXBTUSD | 17 pairsForex Majors EURUSDGBPUSDAUDUSDNZDUSDUSDCADUSDJPYUSDCHF Forex Crosses AUDJPYEURAUDEURGBPEURJPYEURNZD Metals & Crypto XAUUSDXAGUSDXAUEURXAGAUDXBTUSD |
| Win Rate | — | 66% | 66% | 59% | 60% | 66% |
| Total Trades | — | 16,747 | 7,433 | 4,121 | 7,888 | 9,430 |
| Profit Factor | — | 1.88 | 2.10 | 1.35 | 1.21 | 1.84 |
| Active Accounts | — | 47 | 36 | 42 | 60 | 53 |
| Verified | — | |||||
| Price | $30 | Free Download | Free Download | Free Download | Free Download | Free Download |
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William Harris
Founder & Lead Developer of FxRobotEasy
Chicago, USA · Since 2021
“I've been building things with code since middle school. I've been trading since university. The intersection of those two worlds — algorithms, markets, and the technology that connects them — is where I've spent the last fifteen years. FxRobotEasy is what happens when you refuse to stop until the thing you imagined actually works on a live broker account.”
Product data sourced from the MQL5 marketplace. Independent review by FxRobotEasy.