Project Description
Okxpy is a powerful Python package designed to simplify interactions with the OKX exchange API. This wrapper enables developers to seamlessly integrate OKX's trading, account management, and market data services into their Python applications.
Key Features
- Simplified API Access: Eliminates manual HTTP requests and JSON parsing
- Comprehensive Module Coverage: Includes all major OKX API services
- Automated Authentication: Handles private API calls effortlessly
- Error Handling: Gracefully manages API error responses
- Utility Functions: Includes helpful tools like authentication header generation
The package supports both public and private API endpoints, making it suitable for various trading and data analysis applications.
Getting Started with Okxpy
To begin using Okxpy:
- Install the package via pip
- Configure your OKX API credentials
- Start making API calls through the intuitive interface
👉 Get started with OKX API today
Development Resources
- Source Code: Available on GitHub
- API Documentation: Refer to OKX's official docs
- Package Distribution: Published on PyPI
Package Maintenance
To update the package on PyPI:
python -m build
twine upload --skip-existing dist/*Installation Options
Choose the appropriate distribution format for your platform:
Source Distribution
- File: okxpy-0.1.7.tar.gz
- SHA256: 0ec0cd1b48c00c8e1724590a65f69c0e47be1282222c316a1f38f1f042713185
Built Distribution
- File: okxpy-0.1.7-py3-none-any.whl
- SHA256: d08d84d94598e9a8cacaa509ecba56482bb18d5c891af003689acd480e891d2e
For installation guidance, consult Python's package installation documentation.
Frequently Asked Questions
What makes Okxpy different from other OKX API wrappers?
Okxpy provides a more Pythonic interface with comprehensive error handling and automated authentication processes, reducing boilerplate code.
Is Okxpy suitable for high-frequency trading applications?
Yes, the package is designed for efficiency and can be used in various trading scenarios, though performance ultimately depends on your implementation.
How frequently is Okxpy updated?
The package maintains parity with OKX's API updates. Developers are encouraged to watch the GitHub repository for new releases.
👉 Explore advanced trading features with OKX
Can I use Okxpy for data analysis projects?
Absolutely! The package excels at market data retrieval and can be integrated with popular data analysis libraries like Pandas and NumPy.