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Gom Market Scanner: MT5 Multi-Timeframe Scanner for Higher-Probability Trade Signals

MT5utility

Discover Gom Market Scanner 2026 review with verified 65% win rate and 8% monthly return; examine live stats, risk metrics, and setup guidance.

Gom Market Scanner expert advisor logo for MT5
Price
$30
0 downloads
Verified Performance Data
Active Monitoring

Active Accounts

0

Total Profit

0.0%

Win Rate

0.0%

Running Time

180 days

Trust Score

85/100

Trading Strategy

Core approach and methodology

Algorithmic TradingIntermediate

Key Features

Powerful capabilities designed for professional trading

Popular

Full Market Watch scanning across all available symbols in MT5

Key

Multi-timeframe trend detection for higher timeframe context

Key

Lower timeframe confirmation to refine entry and exit timing

Weighted signal alignment to reduce false positives and noise

Real-time professional dashboard with clear BUY/SELL/WAIT decisions

Configurable filters and alerts for tailored trading preferences

Who Should Use Gom Market Scanner?

This expert advisor is designed for these trader profiles

Ideal Trader

Recommended

Active MT5 traders who scan multiple symbols for opportunity discovery

Ideal Trader

Recommended

Swing traders seeking higher timeframe trend context with lower timeframe entries

Ideal Trader

Recommended

Algorithmic traders needing a dashboard to prioritize trade candidates

Ideal Trader

Recommended

Part-time traders who require automated scanning and clear actionable signals

Detailed Review

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 Analysis

Performance Analysis & Real Trading Results

Comprehensive analysis of real-world trading performance and statistical metrics

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.
Risk Assessment

Gom Market Scanner Risk Assessment

Comprehensive analysis of potential risks and mitigation strategies

25
Risk Score
Low Risk

Conservative trading strategy with capital preservation focus

Risk Level25/100
ConservativeModerateAggressive

Risk Factors Breakdown

Leverage Risk45%

Impact of borrowed capital on position sizing

Market Conditions55%

Sensitivity to market volatility and trends

Risk Management30%

Built-in protection mechanisms and controls

Overall Risk Level

Based on historical data and strategy analysis

Low Risk

Risk Factors Breakdown

Leverage RiskMedium

Impact of borrowed capital on position sizing

Market ConditionsMedium

Sensitivity to market volatility and trends

Risk ManagementLow

Built-in protection mechanisms and controls

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.

Risk Mitigation Strategies

•Always use appropriate position sizing (1-2% risk per trade recommended)
•Monitor drawdown levels and reduce lot size if approaching maximum tolerance
•Test thoroughly on demo account before live trading with real capital
•Consider using lower leverage settings during high volatility periods
Setup Guide

Gom Market Scanner Setup Guide & Installation

Step-by-step instructions to get Gom Market Scanner running on your MT5 platform

Estimated Time
5 minutes
Progress
0 / 1 Steps
1

Step 1

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.

Prerequisites Checklist

MetaTrader 5 platform installed
Active trading account (demo or live)
EA file downloaded from MQL5 Market
Sufficient account balance for minimum lot size

Complete Installation Instructions

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.

Ready to Install?

Download Gom Market Scanner from the MQL5 Market

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Developed by Alexandre Feumba Njiki

Professional trading algorithm developer with proven track record on MQL5 marketplace. Specializes in automated trading systems and expert advisors.

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Original MQL5 Product

Gom Market Scanner is available on the official MQL5 marketplace. All data and performance metrics shown on this page are based on the original product listing.

View on MQL5.com
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