Python OKX Exchange API Wrapper: Unofficial Python Extension Guide

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Project Status Update

πŸ”” Maintenance Notice: This project has been revived from its original inactive state. I'm committed to ongoing development, ensuring full API endpoint coverage and up-to-date functionality.

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Introduction to Python-OKX-Extension

This unofficial Python package provides comprehensive access to the OKX Exchange v5 API, designed for developers building automated trading systems.

Key Features


Getting Started Guide

System Requirements

Setup Process

  1. Account Preparation:

  2. Package Installation:

    pip install python-okx-ext
  3. Configuration:

    api_key = "YOUR_API_KEY"
    secret_key = "YOUR_SECRET_KEY"
    passphrase = "YOUR_PASSPHRASE"

Implementation Examples

REST API Usage

Spot Trading:

Derivatives Trading:

WebSocket Implementation

Private Channels:

Public Channels:

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Troubleshooting & Resources

Common WebSocket Issues

Essential Documentation


Frequently Asked Questions

Q: Is this package officially supported by OKX?

A: No, this is an independent community-maintained project providing Python access to OKX's official API.

Q: How often should I update the package?

A: We recommend checking for updates at least monthly, or whenever OKX releases API changes.

Q: What's the difference between live and demo trading modes?

A: Demo trading uses test funds on OKX's sandbox environment, while live trading executes real market orders.

Q: Can I use this for high-frequency trading?

A: While technically possible, consider rate limits and implement proper request throttling.

Q: Where can I report security vulnerabilities?

A: Please create a GitHub issue with "SECURITY" in the title for sensitive reports.


Best Practices for API Integration

  1. Rate Limit Management:

    • Implement request queueing
    • Monitor your usage metrics
  2. Error Handling:

    • Comprehensive connection recovery
    • API response validation
  3. Security:

    • Never hardcode credentials
    • Use environment variables for sensitive data

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