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baostock-mcp

Automate A-share stock data analysis with technical indicators and signal detection via MCP Server.

Updated Apr 30, 2026
Search Tags:#real-time data#technical indicators#stock analysis#MCP server#signal detection
One-click install
npx skills add https://github.com/lxh755818-bot/obsidian-vault --skill baostock-mcp
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: baostock-mcp
Source: https://github.com/lxh755818-bot/obsidian-vault/tree/main/backup/skills/mlops/baostock-mcp
Command: npx skills add https://github.com/lxh755818-bot/obsidian-vault --skill baostock-mcp

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, pandas, numpy, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates stock analysis and MCP server management for A-share data, providing real-time行情, technical indicators, and signal detection, streamlining investment decision-making processes.

Core Features & Use Cases

  • Real-time Stock Data: Fetches live stock prices, K-line data, and technical indicators.
  • Signal Detection: Identifies golden/death cross, BOLL breakouts, support/resistance levels, and sector rotation.
  • MCP Server Integration: Manages and integrates the MCP Server for automated stock analysis.
  • Use Case: Imagine you are an investor looking for real-time stock signals. Use this Skill to automatically fetch and analyze stock data, receive signals, and make informed investment decisions.

Quick Start

Use the baostock-mcp skill to fetch real-time stock data for 'sh600036' and analyze its technical indicators.

Frequently Asked Questions about baostock-mcp

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate A-share stock signal detection for technical indicators?▼

Automate A-share stock signal detection by integrating an MCP server to fetch real-time K-line data and calculate technical indicators like BOLL breakouts and golden crosses. This streamlines investment decisions by identifying support and resistance levels automatically.

Can I fetch real-time stock data for specific A-share tickers using Python?▼

Fetch real-time stock data for specific A-share tickers using Python by passing the stock code to the MCP server. The server utilizes requests, pandas, and numpy to fetch live stock prices and process the data for immediate analysis.

Does this MCP server integration support sector rotation analysis?▼

MCP server integration supports sector rotation analysis by detecting BOLL breakouts and identifying golden or death crosses across A-share stocks. It processes real-time K-line data to pinpoint sector momentum and support resistance levels.

What technical indicators are available for A-share stock analysis?▼

Technical indicators available for A-share stock analysis include BOLL breakouts, golden cross, death cross, and support resistance levels. The system detects these signals by processing live K-line data fetched through the MCP server.

Do I need pandas and numpy to run automated stock analysis?▼

Pandas and numpy are required to run automated stock analysis as they handle data fetching and processing. The requests library is also necessary to fetch live A-share stock prices and technical indicators from the MCP server.

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