The project simonlin1212/a-stock-data is a comprehensive full-stack data toolkit for analyzing China A-Share market data, providing a wide range of endpoints and data sources for AI coding assistants.
Source: Description per README View on GitHub →This project is gaining attention due to its comprehensive coverage of A-Share market data, its modular architecture, and its focus on providing a full-stack solution with minimal third-party dependencies. The project addresses the pain point of scattered and fragmented data sources by offering a unified and structured approach to accessing market data.
Source: Synthesis of README and project traitsThe project features a seven-layer architecture that includes行情层, 研报层, 信号层, 资金面/筹码层, 新闻层, 基础数据, and 公告层, each providing specific data points and functionalities for market analysis.
Source: Architecture section per READMEThe project offers 27 endpoints covering various aspects of the market, such as stock quotes, research reports, trading signals, and financial news, providing a wide range of data for analysis.
Source: Endpoints list per READMEThe toolkit integrates data from 13 different sources, including mootdx, Tencent, Eastmoney, and Sina, ensuring a comprehensive view of the market.
Source: Description per READMEThe project is designed to be self-contained, with no reliance on external data wrappers, ensuring greater control and stability over the data sources.
Source: Description per READMEThe architecture of the project is modular, with each layer dedicated to a specific aspect of market data analysis. The layers are interconnected, with data flowing from one layer to another, and the project utilizes a seven-layer architecture to organize and structure the data. Key technical decisions include direct connections to HTTP APIs for data sources and a focus on minimizing third-party dependencies.
Source: Architecture section per READMECenter: project; inner ring: core feature modules; outer ring: key dependencies. Auto-generated from core_features and tech_stack.key_deps.
mootdxrequestspandasstockstatsThis project is suitable for AI coding assistants, financial analysts, and developers who need to analyze China A-Share market data. It can be used for tasks such as stock valuation, market trend analysis, and financial news monitoring.
Source: READMEv3.2.2 (2026-06-03): Fixed sector/concept membership, cninfo filing orgId, and other bugs.
Source: GitHub ReleasesThe simonlin1212/a-stock-data project is a valuable tool for anyone needing comprehensive and structured access to China A-Share market data. Its modular architecture and focus on minimizing dependencies make it a robust and flexible solution for various market analysis tasks. It is particularly well-suited for use with AI coding assistants and financial analysts.
The project simonlin1212/a-stock-data is a comprehensive full-stack data toolkit for analyzing China A-Share market data, providing a wide range of endpoints and data sources for AI coding assistants.
a-stock-data's core features include: 7-layer architecture, 27 endpoints, 13 data sources, Zero third-party dependencies.
This project is gaining attention due to its comprehensive coverage of A-Share market data, its modular architecture, and its focus on providing a full-stack solution with minimal third-party dependencies.
This project is suitable for AI coding assistants, financial analysts, and developers who need to analyze China A-Share market data.