Stock Bot | LLM-Augmentation

A financial analysis system that combines Large Language Models (LLMs) with real-time market data using Retrieval Augmented Generation (RAG).

Overview

This project creates an AI-powered financial analysis tool that:

• Fetches real-time market data from mutliple data sources using Polygon.io
• Processes and embeds financial information for efficient retrieval
• Uses LLMs to provide intelligent analysis and insights
• Implements RAG to ground AI responses in current market data

Components

RAG Engine

• Document processing and embedding using LangChain
• Vector storage using FAISS for efficient retrieval
• Integration with OpenAI's embedding and chat models

Financial Data Integration

• Real-time stock data fetching via Yahoo Finance
• Comprehensive financial information including:
  • Stock prices and historical data
  • Company financials (income statements, balance sheets, cash flow)
  • Dividend and split history
  • SEC filings and corporate events

AI Analysis

• Natural language processing of financial queries
• Context-aware responses using RAG
• Financial insight generation

Getting Started

[Installation and setup instructions to be added]

Usage

[Usage examples and documentation to be added]

Dependencies

• LangChain
• OpenAI
• yfinance
• FAISS
• Python 3.x

License

[License information to be added]