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A-Stock Data
A-Stock Data is a toolset for AI agents that integrates raw A-share market information from 34 sources into a format for AI programming assistants.
A-Stock Data integrates fragmented A-share market information, including K-line charts, financial reports, market signals, and news, into a unified toolset. It functions as a self-contained skill file written in structured Markdown and Python code. AI programming assistants use these files to access data through context injection without handling complex API authentication or specific data source protocols. The architecture organizes 87 endpoints across 15 categories, covering financial data, market signals, fund flows, and macroeconomic indicators. It is designed for developers building AI agents for financial analysis and research. A backup system maintains data accessibility even if primary sources encounter access restrictions.
A-Stock Data at a glance
Key features
- Integrates data from 34 sources into a standard toolset
- Provides K-line, financial reports, market signals, and news data
- Supports direct context injection for AI programming assistants
- Includes backup sources for high data availability
- Covers 15 data categories including futures and macro indicators
- Requires no authentication for 33 of 34 data sources
Use it for
- Retrieve historical and real-time stock valuation metrics
- Analyze industry sentiment through research report scraping
- Track north-bound capital flows and market fund distribution
- Monitor shareholder trends and equity pledge data
- Access macroeconomic indicators and commodity futures data
Alternatives to A-Stock Data
- TradingAgents A-Share — It features seven specialized A-share analysts and free direct data sources with no API key required.
- Global Stock Data — Connects AI coding assistants directly to official US financial data sources.
- Easy Stock — It combines market data, AI research, and local memory into a single workflow.
- FinSight AI — It features recoverable long-running workflows and evidence-grounded hybrid retrieval.
- Daily Stock Analysis — Integrates multi-source data, LLM decisions, and multi-channel notifications.
- Tick Stock Panel — Runs in a single Docker container with local Parquet storage and zero external databases.
- go-stock — Local AI stock research for Chinese and US markets
- AI Berkshire — It forces clear conclusions with specific price ranges and multi-agent debate.
- Vibe-Trading — Provides reproducible, inspectable research artifacts for financial markets.
- FinCatch Studio — Simulates forward scenarios and stress-tests financial models on primary facts.
- Daloopa — Extracts financials with source-linked data and cuts model building time by 70%.
- AlphaGBM Skills — Integrates real-time market data and analysis into tools like Cursor and Claude Code.
All A-Stock Data alternatives