Description
A-Stock Data is a robust toolkit designed for accessing a wide range of A-share market data. It offers a comprehensive suite of features including K-lines, tick data, research reports, trading signals, fund flow analysis, news, financial statements, and public filings. Additionally, it covers ETF options, macroeconomic indicators, futures, and convertible bonds. The toolkit is structured with 15 layers and provides access to 87 endpoints sourced from 34 different data providers.
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This tool is particularly beneficial for AI agents and financial analysts who require detailed and diverse data sets for analysis and decision-making. The repository is hosted on GitHub, allowing developers to easily clone and integrate the toolkit into their own systems. The open-source nature of the project ensures that users can customize and extend its functionalities to suit their specific needs.
A-Stock Data is designed to be user-friendly, with clear documentation and a straightforward setup process. Users can install dependencies, configure the system, and execute data retrieval tasks with ease. The toolkit's extensive data coverage and versatility make it an invaluable resource for those involved in financial market analysis, investment research, and algorithmic trading.
While the toolkit is comprehensive, users should be aware that it excludes certain data sources like iwencai, which may require additional integration efforts. Overall, A-Stock Data stands out as a powerful tool for accessing and analyzing A-share market data, supporting a wide range of financial and investment applications.
- CategoryAI Trading & Investing Tools
- Pricing ModelOpen source
- DeploymentCloud, Self-hosted
- PlatformsWeb
A-Stock Data's Core Features
Comprehensive A-share market data
87 endpoints for data access
34 data sources integrated
K-lines and tick data
Research reports and trading signals
Fund flow and financial analysis
ETF options and macroeconomic indicators
Futures and convertible bonds data
Getting Started with A-Stock Data
Clone: Download the repository from GitHub
Install dependencies: Set up required libraries
Configure: Adjust settings for data retrieval
Execute: Run data access scripts
Optimize: Customize and extend functionalities
A-Stock Data's Use Cases
- Market Analysis
- Investment Research
- Algorithmic Trading
- Financial Reporting
- AI Agent Development
