A股数据分析
MCP-based Quantitative Analysis Tool for A-Shares
Install & Use
Copy this prompt and send it to your AI assistant (Claude / Cursor / TRAE / Codex / WorkBuddy etc.) to auto-install:
Help me install this AI Skill: A股数据分析. It is used for: MCP-based Quantitative Analysis Tool for A-Shares Details: https://321skill.com/en/skills/a-share-quant-analysis-4/
This tool addresses the lack of real-time data and professional analytical capabilities for AI Agents in A-share investment scenarios. Through standard interfaces based on the MCP protocol, it enables large language models to directly invoke functions such as stock recommendations, historical market data queries, technical indicator calculations, and K-line chart plotting, thereby assisting quantitative trading decisions and reducing the time cost of manual data collection.
Usage is straightforward: after configuring the tool in an MCP-compatible AI client (e.g., Claude Desktop, Cursor), users simply describe their needs in natural language, and the AI will automatically call the corresponding tool to execute the task. For example, saying "Analyze the trend of Kweichow Moutai over the past month and plot a K-line chart" will prompt the tool to fetch data, perform calculations, and generate visualizations.
It is suitable for quantitative traders, individual investors, data analysts, and developers interested in the A-share market. Whether for quick analysis during daily market monitoring or data preparation before strategy backtesting, it significantly improves efficiency. It is particularly well-suited for scenarios requiring frequent stock queries, indicator calculations, or chart generation.
It is recommended to confirm the coverage and update frequency of the data source before use. The tool focuses exclusively on A-shares and does not support Hong Kong or US stocks. For high-frequency real-time trading signals, it is advisable to integrate with broker APIs. Additionally, control the amount of data per request to avoid slow responses due to excessively long historical data.
Key Features
Unlike general-purpose financial data APIs, this tool is designed specifically for AI Agents. It seamlessly integrates into large language model conversations via the MCP protocol, allowing users to perform professional quantitative analysis operations—such as stock recommendations, K-line chart plotting, and technical indicator calculations—without writing any code.
Limitations
Supports only the A-share market. Data relies on third-party sources, and real-time performance may be limited by interface update frequency. Not suitable for scenarios requiring millisecond-level high-frequency trading.
FAQ
Which stocks can this tool analyze?
It supports all listed stocks in the A-share market (Shanghai and Shenzhen exchanges), including the Main Board, ChiNext, and STAR Market.
Is there a fee?
The tool itself may be open-source and free, but for real-time market data, users may need to apply for their own API keys or subscribe to paid data services.