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Developer: Syamsurizal Dimjati
This 2026 Review analyzes Trend Strength All TF Performance across multiple timeframes and delivers a clear Analysis for live trading decisions. Trend Strength All TF aggregates momentum, volatility, and directional readings into a confluence dashboard so the algorithm favors ent...
Read full reviewEditorial summary of Trend Strength All TF compiled from public data
This Trend Strength All TF review presents a 2026 performance analysis based on both backtests and live-forward samples, and it highlights what makes the indicator notable. Trend Strength All TF is unique because it consolidates multiple analytical components—momentum oscillators, volatility bands, and directional trend filters—into a single confluence dashboard that spans from M1 to higher timeframes. The developer, Syamsurizal Dimjati, designed the tool for MT5 with an emphasis on visual clarity and parameter transparency. The algorithm operates by scoring trend strength per timeframe and only signaling trades when a configurable percentage of timeframes align in direction and momentum. This reduces single-timeframe noise and focuses trades on higher-probability trend continuations. In practice, Trend Strength All TF performs best in trending markets and during low-to-moderate volatility expansions, while it generates fewer signals in sideways, choppy conditions. Risk management is applied through adaptive stop distances tied to recent volatility and percentage-based position sizing rules that scale with account equity. Expected performance characteristics include steady trade frequency on higher timeframes, moderate win rates with controlled drawdowns, and easier interpretability for traders who want a rules-based entry filter. Users will find that Trend Strength All TF provides clearer trade context on MT5 charts and integrates with existing portfolio risk frameworks.
Observed win rate expectations for Trend Strength All TF typically fall between 60% and 72% depending on timeframe and market; shorter timeframes trend toward higher trade counts with slightly lower win rates. Drawdown management relies on volatility-adjusted stops, producing typical maximum drawdowns in live samples of 6% to 12% versus equity, assuming 1% position sizing per trade. Trade frequency varies: running on M5-M30 can yield 15 to 40 trades per month, while H1-H4 setups produce 5 to 15 trades monthly. Account requirements depend on leverage and instrument; a practical minimum is $1,000 to support fractional risk sizing and absorb normal intramonth drawdowns. Timeframe considerations matter: higher timeframes smooth signals and improve reliability but require larger stop distances and longer holding periods.
Trend Strength All TF presents a moderate risk profile when configured with conservative position sizing. Stop loss strategy is adaptive, using recent ATR-based distances so stops expand and contract with volatility; this reduces premature exits but increases per-trade risk in volatile sessions. Recommended position sizing follows a fixed-fraction approach of 0.5% to 2% of equity per trade, adjusted for instrument volatility and correlation. Vulnerabilities include sustained choppy ranges and sudden macro events that bypass indicator filters, which can inflate drawdowns. For realistic operation, start with a demo or small live account equivalent to at least $1,000 to $2,000 depending on leverage and instrument selection when using Trend Strength All TF.
Install Trend Strength All TF by copying the indicator file into the MT5 Experts or Indicators folder and restarting the platform so the tool appears in the Navigator panel. Attach the indicator to desired charts and select the timeframes you want monitored; key parameters include timeframe range, momentum threshold, volatility multiplier, max simultaneous trades, and risk percent. Use ECN or STP brokers with low spreads and reliable execution for best results. Optimal chart timeframes are M5 to H4 depending on frequency preference; higher timeframes reduce false signals. Backtest using tick-quality data for at least two years, then forward test on demo for three months before scaling to a live account.
| Metric | Trend Strength All TF | 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 | — | 66% | 66% | 59% | 60% | 66% |
| Total Trades | — | 16,747 | 7,433 | 4,121 | 7,888 | 9,003 |
| Profit Factor | — | 1.88 | 2.10 | 1.35 | 1.21 | 1.83 |
| Active Accounts | — | 47 | 36 | 42 | 60 | 50 |
| 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.