simonlin1212/global-stock-data

Overview

US and Hong Kong Stock Full-Stack Data Toolkit — 8-layer architecture · 18 endpoints · 5 data sources · All zero authentication · Relying solely on requests A self-contained Skill file integrates raw US and Hong Kong stock data scattered across five sources into a toolkit that AI programming assistants can use directly. You no longer need to memorize the East Finance secid prefix, Yahoo Crumb authentication process, or SEC EDGAR's CIK mapping—all packaged in place. Five functions (individual stock quotes/Yahoo K-line/daily capital flow/search/full market list) omitted params=params, the request was actually a bare URL, → completed all at once; Also fixed the market_stock_list bug in AttributeError (normalized dict→list) when returning dict in Dongcai diff. Strongly recommend upgrading. Thanks to @APTX4869-maker. Compatible with Claude Code · Codex · The OpenClaw Skill file is essentially a structured Markdown + embedded Python, and can be used by any AI programming assistant that supports context injection. Just paste the content of SKILL.md into your system prompt or project context file; the embedded Python code can be executed directly. All 5 data sources**. Yahoo crumb is automatically obtained from code, SEC EDGAR only requires a standard User-Agent. All are directly connected to HTTP APIs, with zero third-party data encapsulation dependencies. Yahoo crumb is automatically managed by helpers, while SEC EDGAR only requires a standard User-Agent. Sister projects. a-stock-data covers A-shares (Shanghai, Shenzhen, Beijing), global-stock-data covers both US and Hong Kong stocks. Both skills can be installed simultaneously without conflict.

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