# simonlin1212/global-stock-data

US stock market data for AI coding assistants — zero-auth, official sources. CBOE options with full Greeks + 0DTE flow, FINRA market-wide short volume, SEC EDGAR filing stream, and a free market-wide screener. 13 layers, 30+ endpoints, 11 sources. Every source labeled with its compliance tier.

Repository: https://github.com/simonlin1212/global-stock-data
Canonical: https://ross.abutalabs.com/products/global-stock-data
License: Apache-2.0
License Family: permissive
Topics: 0dte, ai-skill, cboe, claude-code, financial-data, finra, fintech, llm-tools, market-data, options-data, python, sec-edgar, trading, us-stocks
Last push: 2026-07-26T08:24:52+00:00

## Health v2 (maintenance only)
Score: 77/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 94, release rhythm 95, longevity 7
- inputs: {"age_days": 105, "days_push": 38, "days_rel": 38, "gap_med": 15.5, "n_releases_24m": 5}
- flags: young
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1490, forks 233 (observed 2026-08-28T04:04:52.372487+00:00)

## What it is
A self-contained Python-based Skill file that gives AI coding assistants (Claude Code, Codex, etc.) direct access to US stock market data from official sources like CBOE, FINRA, and SEC EDGAR, with zero authentication required. It packages 13 layers and 30+ endpoints covering options Greeks, 0DTE flow, filings, short volume, fundamentals, and a market-wide screener, with each data source labeled by compliance tier.

## Use cases
- fetch US stock options data with Greeks and 0DTE flow for analysis
- pull SEC EDGAR filings for a company without dealing with CIK mappings
- get FINRA market-wide short volume data
- screen the entire US market for stocks matching fundamental criteria
- get real-time US stock quotes and historical K-line data in an AI coding session
- compute technical indicators like MACD, RSI, and Bollinger Bands on stock data
- let an AI assistant query market data without API keys or auth flows

## When to choose
- you use an AI coding assistant and want it to fetch US market data directly
- you want zero-auth access to official sources like CBOE, FINRA, and SEC EDGAR
- you need options data with full Greeks including 0DTE flow
- you want compliance-tier labeling so you know which sources are safe for commercial use
- you prefer a single self-contained file with minimal dependencies (only requests)

## When to avoid
- you need non-US international market data as a primary focus
- you require guaranteed commercial-grade data licensing — only tier-S sources qualify
- you need a hosted API service rather than code you run yourself
- you need real-time streaming data rather than request-based fetching

## Facets
- artifact type: library
- maturity: active
- function: sdk, http-client, data-science, developer-tools, cli
- domain: fintech, apis, artificial-intelligence, large-language-models, developer-tools
- platform: python, cli, cross-platform
- tags: market-data, options-data, sec-edgar, cboe, finra, 0dte, ai-skill, claude-code, zero-auth, stock-screener, financial-data, trading

## Member repositories
- simonlin1212/global-stock-data (main) score 77

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:52.372487+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:33:38.142487+00:00, confidence not recorded.
  - readme: https://github.com/simonlin1212/global-stock-data (fetched 2026-08-28T04:04:52.372487+00:00, sha 24816ad74d57)
- Data as of 2026-08-30T08:39:29.467469+00:00.