A Streamlit web application that allows users to analyze stock performance by displaying OHLC (Open, High, Low, Close) data and calculating the 5-month growth rates for up to 5 stocks simultaneously.
- Real-time Stock Data: Fetches live stock data using the
yfinancelibrary. - Interactive UI: User-friendly interface for entering stock tickers and selecting date ranges.
- Side-by-Side Comparison: Displays data for multiple stocks in a clear, organized manner.
- Growth Rate Calculation: Calculates and displays the 5-month growth rate for each stock.
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Clone the repository:
git clone https://github.com/yourusername/momentum_portfolio.git cd momentum_portfolio -
Create a virtual environment (optional but recommended):
python -m venv venv source venv/bin/activate # On Windows use: venv\Scripts\activate
-
Install required packages:
pip install -r requirements.txt
-
Run the Streamlit app:
streamlit run momentum_portfolio.py
-
Open your web browser and go to
http://localhost:8501. -
Enter up to 5 stock tickers (comma-separated).
-
Select your desired date range.
The application shows:
- Open Price
- High Price
- Low Price
- Close Price
- 5-Month Growth Rate
- Python: 3.8+
- See
requirements.txtfor package dependencies.
- Fork the repository.
- Create your feature branch:
git checkout -b feature/AmazingFeature
- Commit your changes:
git commit -m 'Add some AmazingFeature' - Push to the branch:
git push origin feature/AmazingFeature
- Open a Pull Request.
This project is licensed under the MIT License - see the LICENSE file for details.
- Streamlit for the web framework.
- yfinance for stock data retrieval.
- Pandas for data manipulation.
- NumPy for numerical operations.
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