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- Framework: Use openctp_ctp as the base framework for the auto trading system.
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- Strategy: Prefer the Moving Average (MA) crossover strategy for trading decisions.
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- Code Style: Follow the Django style guide for code consistency and readability.
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- Database: Use PostgreSQL for production databases to ensure robust and scalable data storage.
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- API Development: Use Django REST Framework (DRF) for developing APIs to interact with the trading system.
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- Background Tasks: Use Celery for handling background tasks to ensure non -blocking operations.
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- Caching and Task Queues: Use Redis for caching and task queues to improve performance and manage task execution.
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- Documentation: Maintain comprehensive documentation for all code, including comments and docstrings, to facilitate understanding and maintenance.
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- Testing: Write unit tests and integration tests to ensure the reliability and correctness of the trading system.
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- Version Control: Use Git for version control and follow best practices for branching, committing, and merging.
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- Security: Implement security best practices, including data encryption, secure authentication, and protection against common vulnerabilities.
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- Logging: Implement logging to track system behavior, errors, and performance metrics.
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- Continuous Integration/Continuous Deployment (CI/CD): Set up CI/CD pipelines to automate testing and deployment processes.
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- Performance Monitoring: Use monitoring tools to track system performance and identify bottlenecks.
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- User Feedback: Regularly collect and incorporate user feedback to improve the system.

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