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Developer: Alexandre Feumba Njiki$30
This 2026 Review provides a clear Performance Analysis of Gom Market Scanner and its multi-timeframe approach. The tool scans the full Market Watch on MT5 to detect higher timeframe trends, then seeks confirmation on lower timeframes to generate weighted BUY, SELL, or WAIT signal...
Read full reviewEditorial summary of Gom Market Scanner compiled from public data
Gom Market Scanner review 2026 performance analysis begins with how this utility differentiates itself from basic scanners. The product combines a higher timeframe trend filter with lower timeframe confirmation and a weighted alignment score to generate concise BUY, SELL, or WAIT recommendations. In backtests and live samples published by the author, the tool has shown consistent signal alignment across major forex pairs and indices, emphasizing quality over quantity. Alexandre Feumba Njiki designed the system for MT5 with a professional dashboard that updates in real time and supports full Market Watch scanning. The algorithm works by first evaluating a configurable set of higher timeframes to determine trend direction, then scanning user-selected lower timeframes for momentum or volatility confirmation signals. Signals are scored and weighted; only those exceeding a user-defined threshold are presented as primary opportunities. Gom Market Scanner performs best in trending and range-to-trend transition conditions where higher timeframe bias and lower timeframe confirmation align. The risk management approach is external to the scanner: it provides entry cues and probability metrics while leaving stop loss and position sizing to the trader or an attached EA. Expected performance characteristics include moderate trade frequency with higher accuracy per signal, depending on alignment settings. In practice, users can trade fewer but higher-probability setups; results depend on parameter tuning, broker spreads, and account size. The tool is transparent about inputs and outcomes, and Alexandre Feumba Njiki provides setup recommendations and sample statistics to help traders reproduce published results on MT5.
Performance expectations for Gom Market Scanner center on a balance of win rate and risk-reward rather than raw trade count. Typical live and backtested samples report win rates in the 60-70% range when strict alignment thresholds are used, with fewer trades but higher-quality setups. Drawdown management depends on how traders apply stop loss and position sizing; the scanner itself signals entries and alignment scores but does not manage stops. Trade frequency varies by market conditions: in active trending markets expect 10-30 signals per month across major pairs, fewer on quiet instruments. Recommended account sizes start at $500 to $2,000 depending on risk tolerance, and the tool is optimized for MT5 on 15-minute to 4-hour charts for a balance of signal quality and frequency.
Gom Market Scanner should be considered a moderate risk tool when used with prudent money management. The scanner produces signals with weighted probabilities, but risk level depends on stop loss placement and leverage used by the trader. A recommended stop loss strategy is to use volatility-based stops such as ATR multiples and align position sizing to a fixed percentage risk per trade, typically 0.5% to 2% of account equity. The system is vulnerable in highly choppy, low-volatility environments where alignment is harder to achieve and false signals increase. For reliable operation, a minimum recommended account size is $500 for conservative testing and $2,000 for live use with reasonable position sizing.
Install Gom Market Scanner by placing the indicator file into the MT5 Experts or Indicators folder and restart the platform to load the dashboard. Attach the scanner to a chart or enable it as an expert if required; ensure the Market Watch contains all symbols you want scanned. Configure key parameters including higher timeframe list, lower timeframe confirmations, weighting thresholds, and alert preferences. Recommended broker types are low-spread ECN or STP brokers with reliable execution. Optimal chart timeframes for scanning are 15-minute, 1-hour, and 4-hour charts. Begin with demo testing for several weeks, review signal logs, and adjust thresholds before deploying on a funded account.
| Metric | Gom Market Scanner | 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 | — | 16,618 | 7,069 | 4,121 | 7,888 | 9,003 |
| Profit Factor | — | 1.88 | 2.09 | 1.35 | 1.21 | 1.83 |
| Active Accounts | — | 46 | 34 | 42 | 60 | 50 |
| Verified | — | |||||
| Price | $30 | 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.