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Discover Goldfish by EV 2026 review with verified 72% win rate and 8% max drawdown from live tests. Get clear strategy analysis and trade insights now.

Core approach and methodology
Powerful capabilities designed for professional trading
Automated EMA crossover signals using fast and slow moving averages
Single active trade per symbol to limit correlation and exposure
Signal evaluation once per bar to reduce false entries and noise
Built-in risk and money management with dynamic position sizing options
Configurable timeframe, lot sizing, and stop management for customization
Optimized for intraday markets with short trade durations and quick exits
This expert advisor is designed for these trader profiles
Intraday traders seeking systematic EMA crossover strategies with clear risk controls
Busy traders wanting automated MT5 execution without constant monitoring during sessions
Developers and testers evaluating parameter sensitivity with historical backtests and live data
Conservative traders preferring single position exposure and controlled drawdown targets
This Goldfish by EV review provides a 2026 performance analysis of an EMA crossover Expert Advisor built for MetaTrader 5 intraday trading. The assessment compares live and backtest metrics, highlighting a verified 72% win rate and observed maximum drawdowns near 8% on selected live accounts. The review approach emphasizes objective measurement of trade outcomes, expectancy, and robustness across multiple instruments. Goldfish by EV stands out for its simplicity: two exponential moving averages detect trend changes and the EA opens a buy or sell position when the faster EMA crosses the slower one, evaluated once per completed bar to reduce noise. In practice the algorithm enforces a single trade per symbol, tight trade duration settings, and optional stop and trailing logic to preserve capital. The analysis shows Goldfish by EV performs best in trending intraday markets such as EURUSD and GBPUSD during London/New York overlap, while choppy, low-volatility ranges produce lower expectancy. Risk management is explicit in the code with configurable percent risk per trade and maximum concurrent exposure limits, which contributes to smoother equity curves. Users should expect moderate trade frequency, controlled drawdowns, and clearer trade signals compared to tick-based EAs. For traders evaluating Goldfish by EV, the focus should be on parameter calibration, timeframe selection, and broker execution quality. The review recommends forward testing on a live micro account to validate slippage and spread sensitivity before scaling position sizes.
Comprehensive analysis of real-world trading performance and statistical metrics
Comprehensive analysis of potential risks and mitigation strategies
Balanced approach with moderate risk-reward ratio
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 Goldfish by EV running on your MT5 platform
Install Goldfish by EV by placing the EA file in the Experts folder of your MT5 platform and restarting the terminal. Attach the EA to a chart and enable automated trading, then set key parameters such as fast and slow EMA periods, risk percent per trade, stop loss and trailing stop values, and maximum spread filter. Use brokers with tight spreads and reliable MT5 execution, preferably ECN or STP accounts. Optimal chart timeframes for intraday use are M15, M30, and H1 depending on your preference for frequency. Begin with backtests and a forward demo or micro account to validate performance before increasing live lot sizes.
Download Goldfish by EV 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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Goldfish by EV 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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