Portfolio Optimizer

A Python-based financial portfolio optimization tool leveraging Markowitz Mean-Variance Analysis and live AI news sentiment scoring.

Live Demo

(https://portfolio-optimizer-m29d.onrender.com/)

Project Structure

Portfolio-Optimizer/
│
├── app.py                  # Main Streamlit application
├── requirements.txt        # Pinned Python dependencies
├── .gitignore              # Git ignore file
├── .streamlit/
│   └── config.toml         # Custom Streamlit theme configuration
│
├── data/
│   ├── __init__.py
│   └── nifty50.py          # Nifty 50 constituents and sector mappings
│
└── news/
    ├── __init__.py
    ├── fetcher.py          # RSS feed aggregator
    ├── macro.py            # Macroeconomic event detection
    └── sentiment.py        # FinBERT sentiment analysis engine

How to Run Locally

1. Create and activate a virtual environment:

python -m venv venv
venv\Scripts\activate

2. Install the required dependencies:

pip install -r requirements.txt

3. Run the Streamlit application:

streamlit run app.py

4. Open your browser and navigate to the local server address provided in the terminal (usually http://localhost:8501).