AI-Powered Technical Stock Analysis Dashboard

A Streamlit-based dashboard for real-time stock market analysis with technical indicators, interactive charts, and AI-powered analysis using the Gemini API.

Features

• Real-time stock price tracking
• Interactive candlestick and line charts
• Technical indicators (SMA, EMA, Bollinger Bands, VWAP)
• Multiple timeframe analysis
• Live price updates for major stocks
• Customizable chart parameters
• Historical data visualization
• AI-powered analysis using the Gemini API

Installation

# Clone the repository
git clone https://github.com/yourusername/stock-dashboard.git
cd stock-dashboard

# Install required packages
pip install -r requirements.txt

Usage

streamlit run app.py

Visit http://localhost:8501 in your browser to view the dashboard.

Dependencies

• streamlit
• yfinance==0.2.40
• pandas
• plotly
• python-dotenv
• google-generativeai
• kaleido
• ta (Technical Analysis Library)

Configuration

The dashboard supports various time periods:

• 1 day (1-minute intervals)
• 1 week (30-minute intervals)
• 1 month (daily intervals)
• 1 year (weekly intervals)
• Max (weekly intervals)

Technical Indicators

Currently supported indicators:

• Simple Moving Average (SMA-20)
• Exponential Moving Average (EMA-20)
• Bollinger Bands (20-Day)
• Volume Weighted Average Price (VWAP)

AI-Powered Analysis

The dashboard includes AI-powered analysis using the Gemini API. To use this feature, set the GEMINI_API_KEY environment variable in a .env file:

GEMINI_API_KEY=your_api_key_here

Screenshots

Contributing

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

• Data provided by Yahoo Finance
• Technical Analysis library by Technical Analysis Library
• Built with Streamlit