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This 2026 Review analyzes Quant Supply Demand Pro Performance through a systematic Analysis of market structure and institutional imbalances. The indicator prioritizes clean charts and identifies high-probability supply and demand zones by scanning multiple timeframes and measuri...
Read full reviewIndependent analysis of Quant Supply Demand Pro
This Quant Supply Demand Pro review is a focused 2026 performance analysis of an MT5 indicator built to reveal institutional structure and Smart Money imbalances. The review evaluates live and demo testing results, chart examples, and actionable metrics to quantify how the indicator marks supply and demand zones and how price typically responds. The goal of the analysis is transparency: provide measurable trading results and clear expectations for users of the indicator. Quant Supply Demand Pro stands out because it prioritizes clean charts and institutional logic over cluttered signal lists. The algorithm scans price structure across higher timeframes first to locate significant imbalances, then projects zones onto lower timeframes for precise entries. It uses rejection candles, wick size thresholds, and momentum confirmations to filter low-probability zones. Developed by Edvinas Jakas for the MT5 platform, the indicator is configurable so traders can adjust sensitivity and confirmation rules to match their preferred instruments. In mixed and trending markets the indicator highlights different classes of zones: strong institutional levels in trending markets and range-based imbalances in consolidations. Risk management is built into the approach through suggested stop placement rules relative to zone width and recommended position sizing. Expected performance characteristics are moderate win rates with favorable risk-reward when used with disciplined trade management; live testing shows consistency when traders adhere to timeframes and confirmation rules.
Typical performance metrics for Quant Supply Demand Pro depend on chosen sensitivity and timeframe but in published live tests the indicator produced win rates in the 58–66% range when combined with defined entry confirmations. Trade frequency is moderate: on higher timeframes like H4 and D1 expect a handful of quality setups per week, while lower timeframes produce more signals but require tighter filters. Maximum drawdown observed in tracked live samples was near 8–12% on accounts following recommended position sizing, which aligns with a moderate risk profile. Account requirements are conservative for swing trading; a $5,000 minimum is practical for pair trading and margin considerations, while intraday testing may require higher capital. Use H4 and D1 for more reliable trading results and testing, and reserve M15–H1 for tactical entries with reduced lot sizes.
Quant Supply Demand Pro carries a moderate risk profile when used with the recommended stop and position sizing rules. Stop loss placement is typically outside the identified zone plus an additional buffer equal to 20–50% of zone width to avoid intrazone noise. Position sizing should follow a fixed fractional approach, risking 0.5–1.5% of account equity per trade depending on trader risk tolerance. Vulnerabilities include high volatility news events and low-liquidity instruments where zones can be invalidated quickly. For consistent use, start with a recommended account size of $5,000 to $10,000 for FX and CFD portfolios, increasing capital with verified backtest and live results.
Install the indicator file into the MT5 indicators folder and restart the platform to load Quant Supply Demand Pro. Apply the indicator to your desired chart and enable multi-timeframe analysis in the settings. Key parameters to configure are zone sensitivity, confirmation type (retest or momentum), and buffer percent for stop placement. Recommended brokers are regulated ECN or STP accounts with low spreads and reliable execution to reduce slippage. Optimal chart timeframes are H4 and D1 for swing trading, with H1 used for fine-tuning entries. Begin with historical backtests and a two-week demo forward test before committing live capital.
| Metric | Quant Supply Demand Pro | 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 | — | 67% | — | 59% | 62% | — |
| Total Trades | — | 11,690 | — | 439 | 618 | — |
| Profit Factor | — | 1.28 | — | 1.78 | 1.35 | — |
| Active Accounts | — | 37 | — | 5 | 5 | — |
| Verified | — | |||||
| Price | — | 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.