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. observed · 2026-08-28
Health v2 · maintenance only
77/100
- Activity 94
- Release rhythm 95
- Longevity 7
Flags: young
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: 15.5
- age_days: 105
- days_rel: 38
- days_push: 38
- n_releases_24m: 5
Adoption not part of the score
1490 stars · 233 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
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
library · maturity active
sdk http-client data-science developer-tools cli fintech apis artificial-intelligence large-language-models developer-tools python cli cross-platform market-data options-data sec-edgar cboe finra 0dte ai-skill claude-code zero-auth stock-screener financial-data trading
1 source
- readme: https://github.com/simonlin1212/global-stock-data · fetched 2026-08-28 · 24816ad74d57
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| simonlin1212/global-stock-data | main | 77 |
For agents
markdown · JSON · MCP: product_card(name="simonlin1212/global-stock-data")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem