A free MCP server to analyze and extract insights from public filings, earnings transcripts, financial metrics, stock market data, private market transactions, and deep web-based research within Claude Desktop and other popular MCP clients.

A set of tools for dealing with SEC EDGAR corporate filings

Exploring Causal Inferences in Finance with Graph Neural Networks

Streams new SEC Filings in real-time using Phoenix LiveView

This project predicts corporate default probability using sentiment analysis of annual reports and financial data from U.S. companies. Key steps included data preprocessing, textual analysis, feature selection, and testing machine learning models. A Random Forest classifier was identified as the best model, trained, optimized, and exported for use.

Stock market news API, developed by traders and investors for traders and investors.

EDGAR Analytics – Python Library for Extracting, Analyzing, and Forecasting SEC EDGAR Filings. Streamline your financial analysis with comprehensive metrics, growth rates, and automated reporting capabilities.

Scrapes ticker info from various sites

Real-Time SEC 8-K Filing Analyzer for Financial Modeling

Tournament game for terminal in C++ (final project for university CS1 course)

🍺 Homebrew tap for piquette/edgr

Multi-agent AI system for actionable stock insights using LLMs (DeepSeek), SEC filings, yFinance, LangSearch, and Ollama.

Ask questions. Get answers. Unlock insights from SEC 10-K filings with Generative AI.

This data pipeline collects SEC filings (10-Ks, 10-Qs) and stock prices, summarizes filings and news using Google Cloud tools, and calculates financial ratios. Results are stored in BigQuery and Cloud Storage to power our ML model and financial bot.