Advanced Topics

This section explores advanced configuration and customization options for Algo.Py.

Customizing the Data Layer

• Extend FinStore to support additional data sources or file formats.
• Fine-tune caching strategies to maximize performance.

Extending OMS and RMS

• Integrate with additional brokers or create custom order management modules.
• Adjust risk management settings to suit complex trading strategies.

Performance Optimization

• Use libraries such as NumPy and Numba to optimize numerical computations.
• Profile your code to identify and resolve performance bottlenecks.

Debugging and Logging

• Set up advanced logging configurations for detailed troubleshooting.
• Monitor live deployments with enhanced logging and alerting tools.