📊 TradeMaster EA (Expert Advisor)

ahmadzee26@gmail.com ┃ @zeeshanahmad4 ┃ zee#2655 ┃ Zeeshan Ahmad
For discussion, queries, and freelance work. Do reach me.👆👆👆

📚 Table of Contents

1. Project Overview
2. Features
   • Future Enhancements (To-Do)
3. Requirements
4. Usage Examples
   • Setup and Installation Instructions
5. Troubleshooting Tips
6. Contribution Guidelines

Project Overview

TradeMaster EA is a sophisticated trading strategy automation tool designed to aid traders in making informed decisions. Built with robustness and scalability in mind, it provides a seamless experience for configuring and deploying trading strategies.

Features

• 📈 Graph Marking: Analyze trading data and highlight significant points on the graph.
• ⏲️ Dynamic Time Frames: Easily switch between different time frames for detailed analysis.
• 💹 Adjustable Lot Size: Dynamically adjust the lot size for trading based on strategy requirements.
• 🚀 Automated Trade Execution: Execute trades at optimal times based on user-defined conditions.
• 🛡️ Safety Protocols: Set stop losses and take profit values to protect your investments.

Future Enhancements (To-Do):

• 🌐 Support for Multiple Brokers: Integrate with various brokers for wider accessibility.
• 📅 Historical Data Analysis: Evaluate the efficacy of strategies using past data.
• 📲 Mobile Support: Develop a companion mobile app for on-the-go trading insights.
• 🌍 Localization: Support for multiple languages to cater to a global user base.

Requirements

• Python 3.8+
• pip for package management
• TA-Lib for technical analysis functions

Usage Examples

from core import main

def run_example():
    """
    Demonstrates how to use the TradeMaster EA functionality.
    """
    main.execute()  # Run the main EA functionality

if __name__ == "__main__":
    run_example()

Setup and Installation Instructions

1. Clone the repository:
   git clone https://github.com/YourUsername/TradeMaster_EA.git
2. Navigate to the project directory:
   cd TradeMaster_EA
3. Install the required packages:
   pip install -r requirements.txt
4. Run the main.py file:
   python core/main.py

Troubleshooting Tips

• Ensure you have the correct Python version installed.
• Always install the required packages before running the application.
• Check the logs for detailed error information.
• Restart your application after making any configuration changes.

Contribution Guidelines

1. Fork the repository.
2. Create a new branch: git checkout -b feature/your-feature-name
3. Make your changes and commit: git commit -m "Detailed commit message"
4. Push to your branch: git push origin feature/your-feature-name
5. Create a pull request.