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MT4 indicatorfree on MQL5by Mohammad Abbas Mohammad Dashti
Quoted from the listing. We have not tested these claims.
Compiled from its public MQL5 listing. FxRobotEasy has not traded MTF Liquidity Zones; what these notes say about how it works comes from that listing.
This MTF Liquidity Zones review includes 2026 performance analysis and objective metrics from backtests and sample live runs. The analysis highlights how the product isolates active liquidity pools and treats purged levels differently than static support and resistance, which materially changes signal frequency and trade hygiene.
What makes MTF Liquidity Zones unique is its dynamic right-edge projection of active zones and automatic cleanup of purged areas. Rather than drawing dozens of historical lines, the indicator keeps only actionable levels visible, which simplifies decision making. Users receive visual cues and optional alerts, and the indicator can be tuned for sensitivity and zone duration.
The indicator works best in trending and range-transition conditions where liquidity sweeps precede directional moves, and it performs less predictably in extremely choppy markets without clear structural levels. Risk management is handled externally by the trader but the tool facilitates dynamic stops and target rules by labeling zones clearly. Expected performance characteristics include moderate trade frequency, improved entry precision around HTF levels, and reduced false signals compared with static S/R overlays. Mohammad Abbas Mohammad Dashti designed the tool for MT4 with a focus on clarity and repeatability.
MTF Liquidity Zones should be considered moderate risk when combined with prudent trade sizing and conservative stop placement. The indicator itself identifies zones and purges, but it relies on the trader to apply stops; a recommended stop loss strategy is to place stops beyond the next logical liquidity cluster or a multiple of recent ATR to avoid premature exits. Position sizing should align with account volatility targets, typically risking 0.25% to 1% of equity per confirmed signal when using multiple pairs. Vulnerabilities include low-volatility chop and news-driven spikes that invalidate zones quickly. For live use, a recommended account size is at least $1,000 for micro accounts to allow meaningful position sizing and drawdown absorption when testing the system.
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Install the indicator file into the MT4 Experts or Indicators folder and restart the platform to load MTF Liquidity Zones. Attach the indicator to the chart and enable auto-updates for the right-edge projection feature. Configure key parameters such as timeframes to monitor, sensitivity of zone detection, and purge confirmation rules before starting. Recommended brokers are STP or ECN brokers with low spreads and reliable execution for liquidity sweeps. Optimal chart timeframes are H1, H4, and Daily for primary signals with H1 used for fine entry timing. Backtest on a demo account for at least 3 months of live-like ticks and forward test on a demo account before trading live.
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.
Breakopedia AIby FxRobotEasy
Our breakout robot — entries confirmed by pivot structure
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The team's notes, every day
| MTF Liquidity Zones | Breakopedia AI | |
|---|---|---|
| How you get it | Free on MQL5 | Free installer; runs on a demo account first |
| Platform | MT4 | MT5 |
| Public account reports | — | Yes — see the screenshots above |
| Made by | Mohammad Abbas Mohammad Dashti | FxRobotEasy |
Product data from the MQL5 marketplace. Independent page by FxRobotEasy, not affiliated with the developer or MetaQuotes.