Global Stock Data
About
A full-stack US market data toolkit for AI coding assistants: Options Greeks, 0DTE flow, SEC EDGAR filings, short volume, fundamentals, screener — 13 layers, 30+ endpoints, zero-auth.
Our Verdict
Global Stock Data is a well-crafted, self-contained Skill for AI coding assistants that need US stock market data. Its 13-layer architecture, 30+ endpoints, and zero-auth design make it easy to use. Best for developers who trade US equities and use AI coding assistants.
Pricing
Use Cases
- Getting real-time US stock quotes and options Greeks via AI coding assistant
- Analyzing SEC filings and short volume data programmatically
- Building trading strategies with fundamentals and technical indicators
Pros
- 13-layer architecture covering 30+ endpoints across all US stock data domains
- Zero-auth: only requires the requests library
- Official-source-first approach with compliance tiers for each data source
- Self-contained Skill file — easy to add to any AI coding assistant
- Apache 2.0 licensed, comprehensive documentation
Cons
- Personal account maintenance (bus factor risk)
- Missing SECURITY.md
- Data depends on third-party source availability and terms
- US market only — no global stock coverage
Installation
Add the Skill file to your AI coding assistant's context. Compatible with Claude Code, Codex, and OpenClaw.Frequently Asked Questions
What is Global Stock Data?
It's a self-contained AI coding assistant Skill file that turns raw US stock data scattered across many sources into a toolkit an AI coding assistant can call directly. 13-layer architecture covers real-time quotes, K-lines, technical indicators, Options Greeks (including 0DTE), SEC filings, short volume, fundamentals, screener — all zero-auth, only requests library needed.
How to install?
Add the Skill file (global-stock-data.md) to your AI coding assistant's context. Supports Claude Code, Codex, and OpenClaw. Requires Python 3.9+ and the requests library. After cloning the repo, the AI assistant can access 30+ data endpoints via function calls.
Is it free? Are the data sources reliable?
Free and open source (Apache 2.0). The project itself distributes code, not data — it fetches from 11 official/public sources (CBOE, FINRA, SEC EDGAR, Sina, Tencent, etc.), each labeled with compliance tiers. Users must comply with each source's terms.