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Advanced Stock Market Analysis Server MCP Server

@edenmargolis

代码仓库

基本信息

分类

金融与商务

传输方式

stdio

作者

edenmargolis

关于 Advanced Stock Market Analysis Server MCP Server

暂无概览

Advanced Stock Market Analysis Server MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "Advanced-Stock-Market-Analysis-MCP-Server": {
      "command": "uv",
      "args": [
        "pip",
        "install",
        "-r",
        "requirements.txt"
      ]
    }
  }
}

Advanced Stock Market Analysis Server MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Advanced Stock Market Analysis Server?

A powerful, extensible server built using the Model Context Protocol (MCP) and yfinance for advanced stock market analysis. It provides a suite of tools for retrieving, analyzing, comparing stock data, and performing sector and market sentiment analysis. Designed for developers and analysts who need live financial data and technical indicators via an MCP-compatible client.

How to use Advanced Stock Market Analysis Server?

Clone the repository, install dependencies with uv pip install -r requirements.txt, then start the server with uv run mcp install main.py. Interact using any MCP-compatible client (e.g., Claude, Cursor) by making tool calls such as { "ticker": "AAPL" } to get stock info.

Key features of Advanced Stock Market Analysis Server

  • Retrieve basic stock info (name, price, market cap, P/E)
  • Fetch historical price and volume data with error handling
  • Technical trend analysis: moving averages, RSI, MACD, Bollinger Bands
  • Quantitative risk metrics: volatility, Sharpe ratio, beta, VaR
  • Compare multiple stocks on key metrics and performance
  • Analyze sector performance and market sentiment using indices and VIX

Use cases of Advanced Stock Market Analysis Server

  • Perform technical analysis on a stock's price trend
  • Assess risk and volatility of individual securities
  • Compare the performance of several stocks side-by-side
  • Evaluate sector-level performance across major market sectors
  • Gauge overall market sentiment using the VIX and major indices
  • Scrape latest stock news headlines for sentiment analysis

常见问题

1

What data sources does the server use?

All stock data is fetched live from Yahoo Finance via yfinance. News headlines and URLs are scraped from Finviz for the `get_stock_news` tool.

2

What are the runtime and dependency requirements?

The server requires Python 3.8+ and relies on yfinance, fastapi, requests, and beautifulsoup4. Dependencies are listed in `requirements.txt`.

3

How does the server handle errors or network issues?

Built-in error handling and retry logic ensure robust operation when fetching data or scraping news.

4

What transport or authentication does the server support?

The server runs as a standard MCP tool server—no authentication details are provided in the README. It is designed to be used with any MCP-compatible client.

5

Is there a recommended prompt for analyzing news sentiment?

The README suggests using the prompt: “Get the latest news of {{ticker}} stock. For each article, read the full content, assess whether the sentiment is positive, negative, or neutral, and then write a summary of the overall sentiment and your conclusions.”

评论

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