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Financial Analysis: Multi-Agent Open Source LLM

An advanced stock analysis tool powered by AI agents that provides comprehensive financial analysis using open-source language models. This application combines technical analysis, fundamental analysis, and sentiment analysis to deliver detailed insights for stock market investments.

Features

  • Real-time stock data analysis
  • Technical analysis with chart pattern recognition
  • Fundamental analysis of company financials
  • Market sentiment analysis
  • Risk assessment
  • Competitor analysis
  • Investment strategy recommendations
  • Interactive charts and visualizations

Installation

  1. Clone the repository:
git clone https://github.com/imanoop7/Financial-Analysis--Multi-Agent-Open-Source-LLM
cd Financial-Analysis--Multi-Agent-Open-Source-LLM
  1. Install the required dependencies:
pip install -r requirements.txt
  1. Make sure you have Ollama installed and running on your system. Visit Ollama's website for installation instructions.

Usage

  1. Start the application:
streamlit run app.py
  1. Enter a stock symbol (e.g., AAPL for Apple Inc.) in the input field.

  2. Click "Analyze Stock" to generate a comprehensive analysis report.

The application will display:

  • Technical analysis insights
  • Chart patterns
  • Fundamental analysis
  • Market sentiment
  • Risk assessment
  • Competitor analysis
  • Investment strategy recommendations

Dependencies

  • crewai - For multi-agent orchestration
  • langchain - For LLM interactions
  • ollama - For running local LLMs
  • yfinance - For fetching stock data
  • streamlit - For the web interface
  • plotly - For interactive charts
  • And other data analysis libraries

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the MIT License - see the LICENSE file for details.

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