FinBert: Financial Analysis Dashboard 📈

A comprehensive financial analysis dashboard combining real-time market data, technical analysis, and NLP-powered sentiment analysis using FinBERT.

🚀 Features

• Real-time Market Data Analysis

  • Live stock price tracking
  • Historical data visualization
  • Volume analysis

• Advanced Technical Analysis

  • Moving Averages (20, 50 day)
  • RSI (Relative Strength Index)
  • MACD (Moving Average Convergence Divergence)
  • Bollinger Bands

• Fundamental Analysis

  • Company overview
  • Key financial metrics
  • Performance indicators
  • Risk metrics

• NLP Sentiment Analysis

  • FinBERT-powered sentiment analysis
  • Company description analysis
  • Sentiment visualization

• Interactive Visualization

  • Candlestick charts
  • Technical indicators
  • Sentiment graphs
  • Performance metrics

🛠️ Installation

1. Clone the repository:

git clone https://github.com/miladnasiri/FinBert.git
cd FinBert

2. Create and activate virtual environment:

python -m venv finbert_env
source finbert_env/bin/activate  # On Windows use: finbert_env\Scripts\activate

3. Install required packages:

pip install -r requirements.txt

🚦 Getting Started

1. Start the backend server:

uvicorn src.backend.main:app --reload

2. In a new terminal, start the frontend:

streamlit run src/frontend/app.py

3. Open your browser and navigate to:

• Frontend: http://localhost:8501
• API docs: http://localhost:8000/docs

🎯 Usage

1. Enter a stock symbol (e.g., AAPL, GOOGL)
2. Select analysis type:
   • Technical Analysis
   • Fundamental Analysis
   • Sentiment Analysis
3. Choose time period
4. Explore interactive visualizations and metrics

🏗️ Architecture

graph LR
    A[Yahoo Finance API] --> B[FastAPI Backend]
    B --> C[Data Processing]
    C --> D[FinBERT Analysis]
    D --> E[Streamlit Frontend]
    E --> F[Interactive Dashboard]

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🔧 Technical Stack

• Backend

  • FastAPI
  • yfinance
  • pandas
  • numpy
  • ta (Technical Analysis)
  • transformers (FinBERT)

• Frontend

  • Streamlit
  • Plotly
  • pandas

• ML/NLP

  • FinBERT
  • PyTorch
  • transformers

📈 Sample Analysis

Technical Analysis

Fundamental Analysis

Sentiment Analysis

🤝 Contributing

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

1. Fork the repository
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

📝 License

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

🙏 Acknowledgments

• FinBERT for NLP model
• yfinance for market data
• Streamlit for the interactive dashboard
• FastAPI for the backend framework

📬 Contact

Milad Nasiri - @miladnasiri

Project Link: https://github.com/miladnasiri/FinBert