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-9/
A-Shares Data Analysis is a quantitative analysis tool built on the MCP protocol, designed to provide AI Agents with stock recommendations, market analysis, K-line chart plotting, and other functionalities for the A-share market. It addresses the limitations of large language models in the financial domain, such as the lack of real-time data and professional analytical capabilities, enabling AI to directly call brokerage-grade data APIs and complete the entire workflow from data acquisition to visual output.
The tool is highly flexible to use: simply configure it within an MCP-compatible AI client (such as Claude Desktop, Cursor, etc.), then issue instructions via natural language—for example, "Analyze Kweichow Moutai's trend over the past 30 days and plot a K-line chart." The AI will automatically invoke the tool to fetch historical data, calculate technical indicators, generate charts, and output analytical conclusions. The entire process requires no manual switching between software or writing code.
It is suitable for quantitative traders, data analysts, financial professionals, and individual investors with A-share investment needs. It is particularly useful for scenarios requiring rapid validation of trading strategies, reviewing individual stock trends, or providing data support for investment decisions. Users with programming experience can also leverage the MCP protocol to customize and extend analytical indicators.
Before use, ensure your network environment can access A-share data sources. Some high-frequency data APIs may have rate limits. It is recommended to cross-verify signals output by the tool before making live trading decisions and to treat them as supplementary references rather than sole bases for action.
Key Features
Unlike general stock query tools, it is natively integrated into AI conversations via the MCP protocol, supporting a complete quantitative analysis pipeline (recommendation → market data → indicators → K-line → crossover analysis). All operations are driven by natural language, eliminating the need to manually switch systems or write Python scripts.
Limitations
Not suitable for high-frequency trading or real-time market monitoring. Data refresh frequency depends on the underlying data source, and the tool does not provide direct order execution functionality.
FAQ
Which A-shares are supported?
It supports all A-share stocks listed on the Shanghai and Shenzhen exchanges, including the Main Board, ChiNext, and STAR Market. Data is sourced from public market interfaces.
Can it directly execute trades?
No, the tool only provides data analysis and visualization features. It does not connect to brokerage trading interfaces and should not be used for automated trading.