Gold Moving Average Trading Expert Advisor

Gold 1H Trend Strategy EA – MA15/45 Professional Trading System

The Gold 1H Trend Strategy EA is a professional automated trading system designed specifically for gold market trend trading.
It uses a Moving Average crossover strategy (MA15 / MA45) combined with strict risk management to capture medium-term momentum opportunities on the H1 timeframe.

This EA focuses on clear trend entries, disciplined risk control, and stable trade management, making it suitable for both beginner and experienced algorithmic traders.

Core Strategy Logic

The system identifies trend shifts using a fast and slow moving average crossover:

  • MA15 crosses above MA45 → Buy signal

  • MA15 crosses below MA45 → Exit signal

The algorithm filters noise and only enters trades when the market shows a clear directional momentum.

Risk Management System

Risk control is the core design principle of this EA.

Key features include:

Fixed percentage stop loss (4%) to protect capital
Take profit target (12%) to maximize reward potential
Break-even protection once profit exceeds 8%
Maximum holding time protection (7 days) to avoid stagnating trades
Spread filter to prevent trading in high-cost conditions
Minimum trade interval filter to avoid over-trading

These mechanisms help maintain a balanced risk-reward profile.

Intelligent Trade Execution

The EA also includes several practical execution protections:

• Automatic safe lot size calculation
• Margin safety checks before opening trades
• Automatic adjustment for broker lot requirements
• Works with different gold symbol formats (XAUUSD, GOLD, etc.)

This ensures the EA can run reliably across various brokers.

Recommended Trading Conditions

Market: Gold (XAUUSD / GOLD)
Timeframe: H1
Strategy Type: Trend Following
Risk Profile: Medium
Trading Style: Medium-term momentum

Advantages

• Simple and robust trend strategy
• Fully automated trading
• Built-in risk management system
• Broker-compatible order sizing
• Designed specifically for gold market behavior


Altri dall’autore
HedgeMarti001
Jia Xi Quan
3 (1)
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