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Discover Dragon shogun trader 2025 review with verified live results, 68% win rate and 12% max drawdown. Read objective performance analysis today, free.
Core approach and methodology
Powerful capabilities designed for professional trading
Automatic position sizing based on account balance and risk percentage
Configurable take profit and stop loss in pips for precise exits
Multiple strategies: trend following, scalping, grid, and martingale
Works across major forex pairs and XAUUSD gold on MT4
User limit on number of simultaneous orders for risk control
Compatible with all timeframes for flexible trading styles
This expert advisor is designed for these trader profiles
Active traders who want automated MT4 strategies with adjustable risk
Part-time traders who prefer set-and-forget execution on major pairs
Experienced users who can manage grid or martingale overlays
Traders seeking algorithmic entries for both forex pairs and gold
The Dragon shogun trader review for 2025 presents a pragmatic performance analysis of this MT4 expert advisor and its real-money outcomes. In live and demo tests the EA demonstrated a mix of trend-following and high-frequency scalping behavior, with optional grid and martingale layers engaged only when configured. This review evaluates win rate, drawdown depth, trade frequency, and how the EA adapts to different volatility regimes. Dragon shogun trader is unique because it reduces user configuration to a few core inputs while automating money management and entry logic. The algorithm calculates lot sizes from account balance and risk settings, opens new orders according to defined strategy logic, and limits the number of concurrent trades to prevent account overexposure. It runs on MT4 and supports forex majors and gold (XAUUSD), with adjustable take profit and stop loss measured in pips. The EA handles trending markets well with its trend-following module and can scalp during lower timeframes when volatility is moderate. Grid and martingale modes increase return potential but raise tail risk; they are best used on accounts sized to absorb temporary drawdown. Expected performance characteristics include moderate-to-high trade frequency on M15-H1 charts, typical win rates observed in testing near 60-70% depending on settings, and maximum drawdowns that vary between 8% and 25% depending on strategy aggressiveness. Dragon shogun trader retails for $45 and has community feedback to inform configuration choices.
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 Dragon shogun trader running on your MT5 platform
Install Dragon shogun trader by copying the EA file into the MT4 Experts folder and restarting the platform, then attach it to the desired chart. Set your account risk percentage, configure take profit and stop loss in pips, and set the maximum number of orders allowed. Recommended brokers are low-spread ECN or STP brokers with fast execution and support for XAUUSD if you trade gold. For timeframe selection begin with H1 for trend-follow testing and M15 for scalping evaluation. Backtest on historical data, then forward test on a demo account before trading live.
Download Dragon shogun trader 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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Dragon shogun trader 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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