# global-stock-data

A zero-authentication toolkit of US stock market data endpoints, including CBOE options Greeks, FINRA short volume and SEC EDGAR filings, packaged as a single Skill file for AI coding assistants.

global-stock-data is a single, self-contained Skill file that gives an AI coding assistant direct access to US equity market data spread across many sources, so the agent no longer needs to know each source's own authentication quirks. It covers 13 data layers and more than 30 endpoints from 11 sources, including CBOE options with full Greeks and 0DTE flow, FINRA market-wide short volume, an SEC EDGAR filing stream, a free market-wide screener, and Treasury, CFTC and earnings-calendar data.

Every data source is labeled with its own compliance tier and quoted terms of use, since official access does not always mean free commercial use; the project distributes code, not the market data itself, and each user fetches data under that source's own terms. It is compatible with Claude Code, Codex and OpenClaw, and depends only on the Python `requests` library.

Website: https://github.com/simonlin1212/global-stock-data