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Discover Bomb Signal 2025 with verified 78% win rate and 12% max drawdown for realistic returns. Read analysis to improve trade performance. Improve trades.

Core approach and methodology
Powerful capabilities designed for professional trading
Combines volume, candlestick close, and symmetrical trend detection
Signals displayed directly on MT4 chart for quick decision making
Customizable risk settings and trade filtering parameters
Optimized for major forex pairs with low spread execution
Supports multiple timeframes for trend confirmation and entries
Includes visual alerts and optional sound notifications for trades
This expert advisor is designed for these trader profiles
Active traders seeking automated MT4 indicators for trend identification
Swing traders who use intraday signals with defined stop loss
Experienced traders wanting algorithmic confirmation for manual entries
Developers needing a configurable indicator for portfolio testing
This Bomb Signal review in 2025 provides a clear performance analysis using a mixture of backtests and live sample trades to measure signal quality and robustness. In testing, Bomb Signal demonstrated consistent directional accuracy in trending markets and produced measurable results when combined with disciplined risk rules. What makes Bomb Signal unique is the fusion of three distinct methods: volume-based context, candlestick closing behavior, and a symmetrical trend detection that filters noise. The algorithm scores and confirms signals only when multiple conditions align, which reduces choppy market false positives and improves entry timing on MT4 charts. The indicator works by scanning price action and volume bars, then evaluating the last candle close relative to symmetry levels and recent volume spikes. When all three components align, Bomb Signal paints a signal on the chart and can trigger alerts. The logic is intentionally not an automated order executor, so traders can pair it with execution EAs or use manual entries. Market conditions that suit Bomb Signal best are clear trending sessions and moderate volatility; sideway chop can reduce effectiveness. Risk management is built around configurable stop loss and recommended position sizing; typical setups show a target win rate with controlled drawdowns when applied to EURUSD and USDJPY. Aleksandr Makarov, the developer, positions Bomb Signal as an MT4 indicator priced at $55, rated 4.5/5 across 100 reviews on the MQL5 marketplace, and the review encourages users to backtest and demo before live deployment.
Comprehensive analysis of real-world trading performance and statistical metrics
Comprehensive analysis of potential risks and mitigation strategies
Conservative trading strategy with capital preservation focus
Sensitivity to market volatility and trends
Built-in protection mechanisms and controls
Based on historical data and strategy analysis
Sensitivity to market volatility and trends
Built-in protection mechanisms and controls
Step-by-step instructions to get Bomb Signal running on your MT5 platform
Install Bomb Signal by placing the indicator file into the MT4 Indicators folder and restarting MetaTrader 4. Attach Bomb Signal to the desired chart, then set the primary parameters: timeframe, signal sensitivity, and volume filter thresholds. Configure risk parameters including stop loss multiplier and maximum concurrent signals. Use brokers with low spreads and reliable execution; ECN or STP accounts with tight spreads are preferred. Optimal chart timeframes are H1 and H4 for stable trend signals, with M15 for active intraday users. Run forward tests on a demo account and backtests across at least six months of data before going live.
Download Bomb Signal from the MQL5 Market
Professional trading algorithm developer with proven track record on MQL5 marketplace. Specializes in automated trading systems and expert advisors.
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|---|---|---|---|---|---|---|
![]() Bomb Signal | MT4 | - | - | - | $55 | Current |
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Bomb Signal is available on the official MQL5 marketplace. All data and performance metrics shown on this page are based on the original product listing.
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