simonlin1212

simonlin1212 / global-stock-data

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美股港股全栈数据工具包 (AI Skill) — 7层架构 · 17端点 · 5数据源 · 零鉴权 | US & HK Stock Full-Stack Data Toolkit for AI Coding Assistants

17
5
85% credibility
Found May 21, 2026 at 27 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

This is an open-source tool that helps you gather US and Hong Kong stock market information through an AI assistant. Instead of visiting multiple financial websites and manually piecing together data, you simply tell your AI helper what you want to know — like stock prices, company financials, or market trends — and it fetches everything for you from free public sources. The tool covers real-time quotes, historical charts, technical indicators like MACD and RSI, company financial statements, money flow data, and official SEC filings. It's designed to work with AI coding assistants so you can ask questions conversationally and get organized results back.

How It Works

1
📊 You want to research a stock

You have a question about a stock — maybe you want to see its price, check financial health, or understand recent trends.

2
🤖 You ask your AI assistant

Instead of opening multiple websites, you simply tell your AI coding assistant what you want to know — like 'Show me Apple's recent financials' or 'What's the price and PE ratio for Tesla?'

3
🔄 Everything connects automatically

The tool reaches out to several financial data sources in the background, finds the information you need, and brings it all back to your conversation.

4
You choose what to explore
📉
Technical analysis

You want to see price trends, MACD charts, RSI indicators, and other market signals to understand momentum and potential signals

💼
Financial health

You want to see profit statements, balance sheets, and cash flow reports to understand the company's fundamentals

💰
Money flow

You want to see where money is moving — whether big investors are buying or selling, and how much cash is flowing in or out

📝
SEC filings

You want to see the company's official filings with the securities regulator for the most authoritative financial data

5
📋 Everything comes back to you

All the data is pulled together and presented in an easy-to-read format right in your conversation, with clear labels and organized sections.

✨ You have everything you need

In one place, you now have real-time prices, historical charts, financial statements, and market analysis — ready to help you understand the stock you were researching.

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AI-Generated Review

What is global-stock-data?

This is a Python toolkit that gives AI coding assistants access to US and Hong Kong stock market data through a unified interface. Instead of wrestling with authentication flows for Yahoo Finance or memorizing Eastmoney API quirks, developers get structured data from 5 free sources. It covers real-time quotes, historical K-line data, technical indicators, financial statements, fund flows, options chains, and SEC filings—all without requiring API keys.

Why is it gaining traction?

The zero-auth requirement is the main draw. Most stock data APIs demand paid subscriptions or complex OAuth flows, but this project scrapes publicly available endpoints directly. Technical indicators like MACD, RSI, KDJ, and Bollinger Bands are computed in pure Python, so you get analysis-ready data without extra dependencies. The skill-based architecture means you can ask an AI assistant "show me AAPL's financials" and get structured results. Five data sources with automatic fallbacks reduce the risk of single-source failures.

Who should use this?

Quant traders building automated strategies will appreciate the fund flow and technical indicator layers. Developers working on financial dashboards or trading bots can leverage the real-time quotes and K-line data. Researchers needing SEC XBRL data for fundamental analysis will find the EDGAR integration valuable. Anyone tired of wrangling multiple stock API providers should consider this a solid alternative.

Verdict

With a 0.85% credibility score and only 17 stars, this is a young project with minimal community validation. The documentation is thorough and the zero-dependency approach is practical, but the lack of test coverage means you're relying on the maintainer's reliability for production systems. Worth exploring for prototyping or personal trading tools, but wait for more maturity before betting the farm on it.

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