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Securities Analysis

bydruce
•
4
Analytics & Monitoring
Web Scraping & Data Collection
Data Science & ML

Automate securities analysis and market data collection through a specialized server for financial insights.

About

This project provides a Python-based framework for comprehensive securities analysis, leveraging the Model Context Protocol (MCP). It integrates a FastMCP server to bundle various tools for data collection, parsing, analytics, and visualization. This enables local or remote consumption by any MCP-aware client, such as Claude Desktop or LangChain, facilitating the semi-autonomous generation of deep research reports by combining market data, SEC filings, news sentiment, and technical analysis with advanced AI capabilities.

Key Features

  • FastMCP server exposing market data, news, charts, SEC filings, and research tools
  • Real-time and historical market data integration via yfinance and OpenBB
  • Automatic downloading and parsing of SEC filings for fundamental data
  • News and social sentiment analysis, including Reddit scraping
  • Hundreds of technical analysis indicators from pandas_ta and TA-Lib
  • 2 GitHub stars

Use Cases

  • Automating data collection and analysis workflows for financial assets
  • Generating deep research reports on securities using AI-powered clients
  • Integrating diverse market data and analytical tools with MCP-aware AI agents