Alphasquared-py

- Updated get_strategy_value_for_risk method to return both action and value
- Updated tests
- Fixed bug in CI/CD

Please refer to the README for detailed usage instructions

-Added new method to fetch comprehensive asset data
-Implemented caching mechanism with configurable TTL
-Introduced force refresh and current risk methods
-Added strategy value retrieval for specific risk levels
-Improved rate limiting and error handling
-Fixed bug in CI/CD

Please refer to the README for detailed usage instructions

- Added new method to fetch comprehensive asset data
- Implemented caching mechanism with configurable TTL
- Introduced force refresh and current risk methods
- Added strategy value retrieval for specific risk levels
- Improved rate limiting and error handling

Please refer to the README for detailed usage instructions

What's New

- Implemented a Python wrapper for the AlphaSquared API
- Added support for token-based authentication
- Introduced methods to retrieve asset information, strategy values, and hypothetical data
- Implemented automatic rate limiting to comply with API usage rules
- Added built-in error handling and logging functionality
- Improved documentation with clear usage examples

Key Features

- Easy-to-use interface for interacting with the AlphaSquared API
- Support for retrieving detailed asset information
- Ability to fetch strategy values based on custom strategy names
- Access to hypothetical data for various assets
- Automatic handling of API rate limits (6 requests per minute)
- Comprehensive error handling and informative error messages

Documentation

Please refer to the updated README for detailed usage instructions and examples of the new features.

Feedback

We welcome your feedback and suggestions! If you encounter any issues or have ideas for improvements, please open an issue on the GitHub repository.

Thank you for using the AlphaSquared Python Client!