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The Automated Trading System with Risk Management is a Python application that automates trading processes, including fetching market data, executing trades based on predefined strategies, and managing orders. It incorporates robust risk management strategies to enhance trading performance and profitability.

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OPCODE-Open-Spring-Fest/Quant

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Quant

Quant is an automated trading system with robust risk management capabilities. It fetches market data, generates trading signals based on predefined strategies, and executes trades on supported exchanges.

Features

  • Automated Trading: Quant automates the trading process, eliminating the need for manual intervention.
  • Risk Management: Incorporates robust risk management strategies to protect trading capital.
  • Multiple Strategies: Supports multiple trading strategies, including EMA crossover and Bollinger Bands.
  • Exchange Connectivity: Connects to supported exchanges using the CCXT library.
  • Logging and Error Handling: Includes logging functionality and robust error handling mechanisms.

Setup

To set up Quant, follow the Setup Guide in the documentation.

Usage

  1. Run python algo.py to start the automated trading system.

Contributing

We welcome contributions to Quant! If you wish to contribute, please follow the guidelines in CONTRIBUTING.md.

Support

For support or questions, please create an issue in the GitHub repository or reach out to the maintainers.

License

Quant is licensed under the MIT License. See LICENSE for more information.

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The Automated Trading System with Risk Management is a Python application that automates trading processes, including fetching market data, executing trades based on predefined strategies, and managing orders. It incorporates robust risk management strategies to enhance trading performance and profitability.

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