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Discover Blackout 2026 review with verified 68% win rate and 8% average monthly returns. See performance data, risk metrics, and actionable setup guidance.

Core approach and methodology
Powerful capabilities designed for professional trading
Combines trend, momentum, and volatility indicators for confluence
Adaptive filter automatically tunes sensitivity to current market regimes
Built for MetaTrader 5 with low-latency order execution
Configurable risk settings including fixed and percent position sizing
Supports multi-currency operation with customizable trade frequency
Detailed trade logging and performance reporting for optimization
This expert advisor is designed for these trader profiles
Active traders seeking automated MT5 strategies with statistical edge
Developers and quants testing adaptive multi-indicator systems on MT5
Swing traders wanting algorithmic entries with disciplined risk controls
Portfolio managers adding low-correlation automated strategies to accounts
Blackout review 2026 performance analysis begins with the core concept: confluence-based entries combined with adaptive filtering. In this review the Blackout algorithm is evaluated on live and demo accounts to assess real-world results, variability, and drawdown behavior. The performance analysis shows that Blackout prioritizes trade quality over quantity by requiring multiple indicator agreement before execution, which reduces whipsaw trades in choppy markets. What makes Blackout unique is its layered approach to signal validation. The expert evaluates trend direction, momentum strength, and volatility breakout conditions and then applies an adaptive threshold that tightens or loosens criteria based on recent outcomes. The algorithm operates on MT5 and uses optimized order management including partial profit taking and trailing stop adjustments. Blackout handles trending and range-bound conditions by altering sensitivity; in strong trends it increases trade participation, while in sideways markets it becomes more selective. Risk management is explicit: stop loss and position sizing are central to the system and are configurable to match account tolerance. Expected performance characteristics include moderate trade frequency, a focus on higher win probability setups, and controlled maximum drawdowns. Overall Blackout shows consistent signal discipline and transparent trade logs that simplify further analysis and optimization for traders and advisors.
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
Potential equity decline during losing streaks
Impact of borrowed capital on position sizing
Sensitivity to market volatility and trends
Built-in protection mechanisms and controls
Based on historical data and strategy analysis
Potential equity decline during losing streaks
Impact of borrowed capital on position sizing
Sensitivity to market volatility and trends
Built-in protection mechanisms and controls
Step-by-step instructions to get Blackout running on your MT5 platform
Install Blackout by copying the expert file into the MT5 Experts folder, then restart MetaTrader 5 so the EA appears in the navigator pane. Attach Blackout to the chosen chart and enable automated trading in the platform toolbar. Configure key parameters including risk per trade, maximum simultaneous trades, stop loss method, and adaptive filter sensitivity. Recommended brokers are low-spread ECN or STP providers with fast execution and low slippage. Optimal chart timeframes are H1 or H4 for balanced signal quality. Begin with backtests and forward testing on a demo account for at least 30-90 days before deploying on live accounts.
Download Blackout 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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|---|---|---|---|---|---|---|
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Blackout 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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