Trading Robots for MetaTrader 5

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MetaTrader 5

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Deriv Cross Over

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Information

Experts
MetaTrader 5
01AActivate Solutions
1.1
5

Overview

Features:

  1. Moving Average Crossover Strategy:

    • The EA uses a moving average crossover strategy to identify entry signals. For example, it could use a combination of two moving averages (e.g., a faster one and a slower one).
    • Buy signal: When the faster moving average crosses above the slower one.
    • Sell signal: When the faster moving average crosses below the slower one.
  2. Multiple Time Frame Analysis:

    • The EA performs analysis on multiple time frames (e.g., 1-hour, 4-hour, and daily charts) to confirm the strength of the identified trend.
    • Higher time frames help filter out noise and provide a broader market perspective.
  3. Profit Trailing:

    • Once a trade is entered, the EA incorporates a dynamic profit trailing mechanism to lock in profits as the trade progresses.
    • The trailing stop-loss is adjusted based on market conditions, allowing for potential larger gains during strong trends.
  4. Risk Management:

    • The EA includes risk management features such as setting a fixed percentage of the trading account balance as the maximum risk per trade.
    • Additionally, it can adapt position sizes based on market volatility or other predefined criteria.
  5. Target-Oriented Trading:

    • The EA incorporates profit targets to automatically close positions when a certain level of profit is reached.
    • Targets can be set based on static pip values, ATR (Average True Range), or other customizable parameters.
  6. User-Friendly Interface:

    • The EA has a user-friendly interface within MetaTrader, allowing traders to customize parameters, set preferences, and monitor performance easily.
  7. Alerts and Notifications:

    • The EA provides alerts and notifications for key events, such as when a trade is executed, when the moving averages cross, or when a profit target is reached.
  8. Backtesting and Optimization:

    • Traders can backtest the EA using historical data to evaluate its performance under various market conditions.
    • The EA is designed for optimization, allowing users to fine-tune parameters for optimal results.


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