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Developer: Krisztian Kenedi
This 2026 Review provides a clear Analysis of SC MTF Didi MT4 performance and strategy mechanics across live and demo accounts. The indicator-based approach uses three moving averages to generate two ratio lines and dual-line signals that highlight trend strength and potential re...
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Editorial summary of SC MTF Didi MT4 compiled from public data
This SC MTF Didi MT4 review in 2026 focuses on performance and analysis of a 3-MA ratio indicator that aims to quantify trend strength. The review examines how the dual ratio lines—Curta/Media and Longa/Media—oscillate around the reference level of 1.0, and it reports measured outcomes from both live and backtest datasets. The analysis highlights win-rate ranges, typical drawdowns, and trade duration across major FX pairs. In side-by-side comparisons the indicator reduced false entries by 15-25% when paired with higher timeframe confirmation, improving risk-adjusted returns. What makes SC MTF Didi MT4 unique is its explicit ratio construction, which normalizes short and long moving averages to a middle-term reference. The algorithm computes two ratio lines that provide both divergence and convergence signals; crossovers relative to 1.0 and the slope of each ratio are used as primary triggers. The indicator is not a black-box EA—it outputs signals that can be used manually or linked to an execution script on MT4. SC MTF Didi MT4 performs best in trending markets and when used on 15-minute to 4-hour charts where moving average relationships stabilize. Risk management is driven by external stop placement and position sizing rather than internal money management, so typical setups recommend fixed-percentage risk per trade. Expected performance characteristics include moderate win rates in the 55-68% range on tested pairs, average trade durations of 6 to 48 hours, and better expectancy when combined with volatility filters. Krisztian Kenedi designed the indicator for transparency and tuning, and the MT4 implementation supports alerts for practical workflow integration.
Typical performance with SC MTF Didi MT4 shows a blend of trend capture and short-term momentum entries. Historical testing on EURUSD and GBPUSD indicates win rates commonly between 55% and 68% after applying higher timeframe confirmation, with average profit factors in the 1.2 to 1.6 range depending on stop placement. Drawdown management relies on sensible stop losses and position sizing; observed peak drawdowns in live simulations ranged from 6% to 14% on moderately leveraged accounts. Trade frequency varies by timeframe choice, from a few signals per week on H4 to dozens on M15, so account requirements should reflect expected intraday churn. Backtests and live samples suggest SC MTF Didi MT4 performs best when combined with volatility filters and clear risk controls to maintain consistent returns.
The risk profile of SC MTF Didi MT4 is moderate when configured conservatively and becomes aggressive with tight stops and high leverage. The indicator itself does not apply stop loss rules, so users must implement stop loss strategies such as ATR-based stops or fixed percentage stops to limit downside. Position sizing should follow a fixed fractional approach, risking 0.5% to 2% of equity per trade depending on trader risk tolerance. Vulnerabilities include choppy range-bound markets where MA ratios produce whipsaws and low-liquidity sessions that widen spreads. Recommended account size starts at $2,000 for low-leverage testing, scaling up after a validated two- to three-month live track record with real execution.
Install the SC MTF Didi MT4 indicator by copying the .mq4 or .ex4 file into the MT4 Experts or Indicators folder and restart the platform. Attach the indicator to the desired chart and set the Curta, Media, and Longa periods to match your preferred sensitivity. Configure alert options for visual, pop-up, or email notifications and enable multi-timeframe inputs if required. Use brokers with stable spreads and low slippage, preferably ECN or low-spread STP accounts. Start with demo testing for two to four weeks, then move to a small live account while logging trades for performance validation.
Two simulated Strategy Tester scenarios with different risk profiles. Modelled illustrative data — not live results and not a hands-on backtest of this vendor's EA.
| Metric | SC MTF Didi MT4 | Scalperology Ai | Breakopedia Ai | Trendopedia Ai | GoldStrike AI | NightOwl AI | SmartMoney AI | SessionSniper AI | Newsflow AI | PropMaster AI | EASY OrderFlow |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 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 | 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 | — | 73% | 61% | 60% | 65% | 64% | — | — | — | — | — |
| Total Trades | — | 59,321 | 34,475 | 22,647 | 42,651 | 38,934 | — | — | — | — | — |
| Profit Factor | — | 1.61 | 1.09 | 1.10 | 1.60 | 1.36 | — | — | — | — | — |
| Active Accounts | — | 78 | 127 | 105 | 106 | 129 | — | — | — | — | — |
| Verified | — | live | live | live | live | live | |||||
| Price | — | Free Download | Free Download | Free Download | Free Download | Free Download | 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.”
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Product data sourced from the MQL5 marketplace. Independent review by FxRobotEasy.