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Discover Candle Liquidity Detector 2026 review with win rates, drawdown and trade frequency to identify untouched liquidity zones and improve entries.
Core approach and methodology
Powerful capabilities designed for professional trading
Automatically plots untouched liquidity highs and lows from higher timeframes
Multi-timeframe scanning for HTF-to-LTF level translation and clarity
Configurable lookback period to adjust sensitivity and historical depth
Visual alerts and customizable level styling for clear on-chart signals
Optimized for MT4 with low CPU usage and fast chart rendering
This expert advisor is designed for these trader profiles
Swing traders using MT4 who prefer clear HTF liquidity reference points
Discretionary traders seeking objective levels for entries and exits
Algorithmic developers testing liquidity-based conditions on demo accounts
This review examines Candle Liquidity Detector in 2026 with a focused performance analysis that considers backtest and forward-test metrics. Candle Liquidity Detector is an MT4 indicator developed by Mohammadhossein Yoosefiizad and priced at $30 as an indicator on the MQL5 ecosystem. What makes Candle Liquidity Detector unique is its automated scan of higher timeframe candle bodies and structure to identify highs and lows that price has not yet taken, giving traders a concise map of potential liquidity collection zones. The algorithm works by iterating a configurable number of HTF candles, marking extreme wick and body levels, and filtering those levels by whether subsequent price action has tested them. It then projects surviving levels onto active charts with optional timeframe alignment and alert triggers. The indicator handles trending and range-bound markets by highlighting zones rather than forcing directional bias, which makes it adaptable across major forex pairs, indices, and commodity CFDs. Risk management is not automated in the indicator; instead it supports conservative approaches with suggested stop placement beyond the plotted liquidity levels and position sizing tied to account risk percentages. Expected performance characteristics include moderate trade frequency on H4 and D1 charts, clearer entries around liquidity reclaims, and reliance on complementary confirmation such as price action or momentum indicators. Candle Liquidity Detector appears best used as a decision-support tool rather than a standalone trade executor.
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
Potential equity decline during losing streaks
Sensitivity to market volatility and trends
Built-in protection mechanisms and controls
Based on historical data and strategy analysis
Potential equity decline during losing streaks
Sensitivity to market volatility and trends
Built-in protection mechanisms and controls
Step-by-step instructions to get Candle Liquidity Detector running on your MT5 platform
Install the indicator by copying the Candle Liquidity Detector.ex4 file into the MT4 Indicators folder and restart the platform. Attach the indicator to a chart and select your higher timeframe source, lookback candle count, and sensitivity parameter to control how many untouched levels are shown. Recommended brokers are ECN or STP accounts with low spreads and reliable execution; avoid brokers with frequent requotes. Optimal chart timeframes are H4 and D1 for primary signals, with H1 available for intraday confirmation. Backtest settings for at least 6 months on historical data, then forward-test on a demo account for 1 to 3 months before live trading.
Download Candle Liquidity Detector from the MQL5 Market
Professional trading algorithm developer with proven track record on MQL5 marketplace. Specializes in automated trading systems and expert advisors.
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|---|---|---|---|---|---|---|
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Candle Liquidity Detector 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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