🤖 Multi-Agent Stock Analyzer

🚀 A weekend experiment using CrewAI, Gemini LLM, and vector embeddings to orchestrate agent-based analysis of a stock ticker — combining technical indicators, news sentiment, and social media signals. The pipeline is modular and can be adapted to other research and monitoring use cases across industries.

What It Does

• Retrieves and processes stock-related data
• Analyzes technical indicators
• Fetches news and social media content
• Applies sentiment analysis using LLM
• Summarizes insights via agent-based orchestration

Tools Used

• CrewAI for multi-agent task orchestration
• Gemini (LLM) for summarization and sentiment classification
• Vector embeddings for semantic search and clustering

🖥️ Usage

GUI Mode (Recommended)

python main.py

The GUI will open in your browser at http://localhost:8501

CLI Mode

python main.py AAPL
python main.py TSLA
python main.py --help

📁 Project Structure

stock-analyzer/
├── main.py                      # Main entry point
├── src/
│   ├── gui.py                   # Streamlit GUI
│   ├── agents/                  # Multi-agent system
│   ├── data/                    # Data utilities
│   ├── utils/                   # Shared utilities
│   └── workflows/               # Workflow orchestration
├── tests/                       # Test files
├── chroma_db/                   # Vector database storage
├── requirements.txt             # Python dependencies
└── README.md                   # This file

🤝 Contributing

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Add tests if applicable
5. Submit a pull request

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Powered by Google Gemini AI, Vector Embeddings, and real-time market data 🚀