This project implements a robust automated trading system that can execute trades in real-time across multiple cryptocurrency symbols using MetaTrader 5 (MT5) and Python. The system incorporates risk management, performance tracking, logging, and visualization features to ensure effective and secure trading operations.

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• Strategy Implementation: Multi-Timeframe Breakout Strategy.
• Live Trading Module: Execute trades in real-time with defined risk management.
• Risk Management: Dynamic position sizing, stop-loss, and take-profit mechanisms.
• Logging and Reporting: Detailed logs of trading activities and performance metrics.
• live intergration with mt5 : Connected to Peperstone Papertrading Account
• Telegram Bot Signal Notification: Real-time notifications of trading signals and performance updates on by telegram bot

• :Adding any VPS Provider: that can run our algorithm 24/7 - still this feature yet to be implemented but soon i will be adding this feature
• :Thinking of Connecting it to Cloud Services : AWS or linode
• : Docker Containers: Containerize your trading strategy using Docker to ensure consistency across environments and simplify deployment.

• Programming Language: Python 3.9
• Trading Platform: MetaTrader 5 (MT5)
• Libraries:
  • MetaTrader5
  • pandas
  • numpy
  • ta-lib
  • matplotlib
  • plotly
  • dash
  • python-dotenv

Comprehensive Multi-Symbol Automated Trading System with MetaTrader 5 and Python GitHub: github.com/karaz-debug/Qafary-Framework

Developed a robust automated trading system capable of executing real-time trades across multiple cryptocurrency symbols using MetaTrader 5 (MT5) and Python. The system integrates advanced risk management, performance tracking, logging, and visualization features to ensure effective and secure trading operations.

Key Features:

Designed and implemented a Multi-Timeframe Breakout Strategy to capitalize on market volatility across different timeframes.

Enabled real-time trade execution with dynamic position sizing, leveraging defined risk management protocols.

Incorporated dynamic position sizing, stop-loss, and take-profit mechanisms to mitigate potential losses and secure profits.

Developed comprehensive logging of trading activities and generated performance metrics for in-depth analysis.

Connected to a Peperstone Paper Trading Account for live market data and trade execution.

Implemented real-time notifications of trading signals and performance updates via a Telegram bot, enhancing monitoring and responsiveness.

• VPS Integration: Plan to integrate with VPS providers to ensure the algorithm runs 24/7 without interruptions.
• Cloud Services Connection: Intend to connect the system to cloud platforms like AWS or Linode for scalability and reliability.
• Docker Containerization: Aim to containerize the trading strategy using Docker to ensure consistency across environments and simplify deployment.

• Programming Language: Python 3.9
• Trading Platform: MetaTrader 5 (MT5)
• Libraries & Tools:
• MetaTrader5 for API integration
• pandas and numpy for data manipulation and analysis
• ta-lib for technical analysis indicators
• matplotlib and plotly for data visualization
• dash for building interactive dashboards
• python-dotenv for environment variable management

• Successfully backtested the Multi-Timeframe Breakout Strategy, demonstrating its effectiveness across multiple cryptocurrency symbols.
• Implemented a Telegram bot that improved real-time monitoring and decision-making processes.
• Established a scalable project structure, facilitating future integrations with cloud services and containerization technologies.