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I Need a Expert Advisor

MQL5 지표 EA Trading robot/indicator debugging

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Identification of Daily Support and Resistance Levels:

  • The EA should accurately identify daily support and resistance levels based on historical price data.
  • Utilize methods like pivot points, previous day's high/low, or other technical indicators to determine these levels.

Customization of Parameters:

  • Allow customization of sensitivity settings for detecting support and resistance levels.
  • Provide options to adjust parameters such as timeframe, method of calculation, and validation criteria for support and resistance.

Entry and Exit Conditions:

  • Define clear rules for entering trades when price breaks above resistance or below support levels.
  • Specify conditions for opening long positions on breakout above resistance and short positions on breakout below support.

Risk Management:

  • Implement position sizing algorithms based on account equity, risk per trade, or percentage of capital.
  • Include features for dynamic stop-loss adjustments, trailing stops, or breakeven levels to manage risk and protect profits.

Trade Execution:

  • Ensure timely execution of trades following breakout signals.
  • Provide options for order types such as market orders or pending orders (buy stop and sell stop) to execute trades at predefined levels.

  1. User Interface:

    • Design an intuitive user interface for configuring settings, monitoring performance, and managing trades.
    • Incorporate features for user notifications, alerts, and customization options to enhance usability and user experience.



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