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MT5 indicatorfree on MQL5by Krisztian Kenedi
What the developer says
Chaikin Money Flow (CMF) indicator with multi-timeframe support, customizable visual signals, and configurable alert system.
Quoted from the listing. We have not tested these claims.
Compiled from its public MQL5 listing. FxRobotEasy has not traded SC MTF Chaikin M Flow MT5; what these notes say about how it works comes from that listing.
The SC MTF Chaikin M Flow MT5 review for 2026 provides a comprehensive performance analysis based on live and backtest samples. In this review I examined trade samples, win rates, and drawdown sequences to quantify how the indicator behaves across currency pairs and timeframes.
What makes SC MTF Chaikin M Flow MT5 unique is its multi-timeframe application of the Chaikin Money Flow calculation, combined with visual priority signals and a configurable alert engine. The algorithm computes the Money Flow Multiplier per bar, weights those by volume, and aggregates over a lookback period while allowing smoothing options. Users can require agreement between a higher timeframe and the chart timeframe before a signal is issued, reducing false positives. SC MTF Chaikin M Flow MT5 works best in liquid FX pairs and major indices where volume or tick equivalents are reliable. The indicator is less effective in illiquid off-hours or exotic pairs with sparse tick rates.
Risk management in the review emphasizes using the indicator as a filter rather than a full automated money manager; it pairs best with fixed stop loss, volatility-adjusted position sizing, and correlation checks. Expected performance characteristics include moderate trade frequency, higher win rates on aligned multi-timeframe signals, and lower but controlled drawdowns when used with recommended sizing and stops. The tool integrates cleanly into MT5 and supports visual backtesting for refinement.
SC MTF Chaikin M Flow MT5 presents a moderate risk profile when used as intended. The recommended stop loss strategy is volatility-based stops tied to ATR multiples or fixed percentage limits to contain single-trade exposure. Position sizing should follow a risk-per-trade model, such as risking 0.5–1.5% of account equity per signal, to manage drawdown sequences. Vulnerabilities include reduced effectiveness in low-liquidity sessions, noisy tick data for some brokers, and sudden news events that overwhelm volume indicators. For live deployment, a recommended starting account size is at least $1,000 for micro lots or $5,000 for standard lot scaling to keep risk measures practical.
Listed strengths
Worth checking
Install SC MTF Chaikin M Flow MT5 by copying the indicator file into the MT5 Experts or Indicators folder and refreshing the navigator. Attach the indicator to your chosen chart and select the primary and confirmation timeframes in settings. Key parameters to configure include lookback period, smoothing length, alert preferences, and the confirmation timeframe multiplier. Use brokers with stable tick data and low spreads for accurate volume proxies, preferably regulated ECN or STP brokers. Start by forward testing on a demo account for at least 30 trading days and run an optimization over historical data before live deployment.
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
| SC MTF Chaikin M Flow MT5 | Trendopedia AI | |
|---|---|---|
| How you get it | Free on MQL5 | Free installer; runs on a demo account first |
| Platform | MT5 | MT5 |
| Public account reports | — | Yes — see the screenshots above |
| Made by | Krisztian Kenedi | FxRobotEasy |
Trendopedia AIFree demo · by FxRobotEasyFreeProduct data from the MQL5 marketplace. Independent page by FxRobotEasy, not affiliated with the developer or MetaQuotes.