A comprehensive financial analysis tool that provides automated insights for stocks by analyzing multiple data sources including financial statements, earnings call transcripts, and recent news articles.
This project implements an intelligent financial analysis system that combines web scraping, PDF processing, and AI-powered analysis to provide comprehensive investment insights. The system uses LangGraph to orchestrate different analysis workflows based on user queries.
- Multi-Source Data Analysis: Processes financial data from various publically available sources, earnings call transcripts, and news articles
- Auto Query Routing: Automatically determines the type of analysis needed based on user input
- Transcript Processing: analyzes PDF transcripts from earnings calls
- News Aggregation: analyzes recent news from news outlets using Tavily API
- AI-Powered Insights: Uses Google Gemini and Groq models for analysis
- Workflow Orchestration: LangGraph for complex analysis pipelines
- Financial Analysis: Focus on financial ratios, metrics, and company performance
- News Analysis: Sentiment analysis of recent news and market impact
- Transcript Analysis: Earnings call insights and management commentary
- Full Analysis: Comprehensive analysis combining all data sources
This tool is for informational purposes only and should not be considered as financial advice. Always consult with qualified financial professionals before making investment decisions.