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Securities Analysis
Automate securities analysis and market data collection through a specialized server for financial insights.
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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.
Data Science & ML
Analytics & Monitoring
Web Scraping & Data Collection
