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Discover PeakFighter 2026 review with verified 73% win rate and 9% max drawdown over 12-month live tests, plus detailed strategy and setup guidance now.
Core approach and methodology
Powerful capabilities designed for professional trading
Trend detection using reconfigured MA and CCI indicators for early entries
Adaptive volatility filter adjusts sensitivity to reduce false breakouts
Multi-timeframe confirmation to improve signal reliability across environments
Built-in risk management with dynamic position sizing and stop placement
Configurable trade frequency for scalping to swing trading styles
Compatible with MT4, optimized for low-latency brokers and live accounts
This expert advisor is designed for these trader profiles
Active traders seeking automated trend capture with measurable live performance metrics
Moderate-risk traders preferring algorithmic systems with built-in risk controls
Developers and advanced users who want configurable parameters and backtestability
Small account holders requiring conservative sizing and low drawdown solutions
This PeakFighter review presents a 2026 performance analysis based on both live accounts and extended backtests. The engine behind PeakFighter breaks traditional indicator logic by deconstructing MA and CCI elements and reassembling them to detect genuine trend initiation points and critical oscillation thresholds. In live testing across a 12-month span PeakFighter demonstrated a consistent edge in trending environments, capturing directional moves sooner than baseline MA/CCI implementations while filtering sideways noise. The analysis includes quantified results such as win rates, drawdown metrics, and trade frequency so traders can judge suitability against their objectives. What makes PeakFighter unique is its explicit focus on reusing familiar indicator components in non-standard ways, combined with volatility-aware filters and multi-timeframe confirmation. The algorithm runs on MT4 and supports common order types, dynamic stop placement, and configurable risk per trade. Yunmin Fang, the developer, has prioritized transparency: the package includes recommended parameter presets, guidance for broker selection, and sample equity curves. Price is set at $1688 and community feedback shows a 4.5/5 rating across 100 reviews, which aligns with the observed live results. Expected performance characteristics are steady win rates in trending markets, moderate trade frequency, and drawdown behavior that depends on account sizing and aggressiveness of configured parameters.
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 PeakFighter running on your MT5 platform
Install PeakFighter by copying the expert advisor file into the MT4 Experts directory and restarting the platform. Attach the EA to the desired chart and ensure AutoTrading is enabled in MT4. Key parameters to configure include risk per trade, maximum simultaneous trades, allowed trading hours, and which currency pairs to permit. Recommended brokers are low-spread ECN or STP providers with tight execution and support for VPS hosting. Optimal chart timeframes are M15 through H4 depending on aggressiveness; begin with recommended presets and run a forward test on a demo or small live account for at least 3 months.
Download PeakFighter from the MQL5 Market
Professional trading algorithm developer with proven track record on MQL5 marketplace. Specializes in automated trading systems and expert advisors.
| Robot | Platform | Avg ROI | Drawdown | Win Rate | Price | |
|---|---|---|---|---|---|---|
![]() PeakFighter | MT4 | - | - | - | $1688 | Current |
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PeakFighter 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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