nutdnuy GitHub avatar

webull-openapi-thai-lab

nutdnuy

A safe, educational Python lab for learning Webull OpenAPI with UAT-first guardrails, notebooks, and a structured learning path.

Stars

54

7-day growth

No data

Forks

7

Open issues

0

License

MIT

Last updated

2026-07-14

AI repository intelligence
FR-AI / ANALYSIS

Why it is worth attention

It provides a complete, security-focused curriculum (API key setup, market data, order preview) with Quantopian-style research notebooks and explicit AI assistant integration, making it a unique resource for Thai quants.

Who it is for

  • Thai investors and quant developers exploring Webull OpenAPI
  • Python learners wanting hands-on API examples with safety practices
  • Developers using AI coding assistants who need guidance on secret management
  • Traders testing Webull UAT before moving to live trading

Use cases

  • Step-by-step learning of Webull OpenAPI endpoints via Jupyter notebooks
  • Safely practicing order preview and guardrails without risking real funds
  • Running Quantopian-style research notebooks using Webull historical data
  • Using the repo as a reference when asking AI assistants to write Webull API code

Strengths

  • Strong security emphasis: defaults to UAT, requires explicit flag for live orders, prevents secret commits
  • Comprehensive learning materials: beginner notebook, endpoint tutorials, Quantopian-style notebooks, and detailed docs in Thai
  • Automated CI workflow that runs notebooks safely (offline mode) and publishes results to GitHub Pages
  • Includes dedicated files (AGENTS.md, CLAUDE.md, llms.txt) for seamless AI assistant integration

Considerations

  • Targeted at the Webull Thailand platform (api.webull.co.th); not tested for Webull US or other regions
  • Requires a Webull developer account and valid API keys to execute live API calls
  • Documentation primarily in Thai, which may limit accessibility for non-Thai-speaking developers

README quick start

Quick Start

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