ML-Enhanced Value at Risk (VaR) Dashboard for Institutional Portfolio Risk Monitoring and Backtesting.
- Historical, Parametric, and Monte Carlo VaR
- Expected Shortfall (ES) calculation
- Market Regime Detection using GMM
- Backtesting using Kupiec’s POF Test
- Interactive Visualizations (Plotly)
- Stress Testing for Financial Crises
- Python, Streamlit
- yFinance, NumPy, SciPy, scikit-learn
- Plotly, Seaborn, Matplotlib
pip install -r requirements.txt
streamlit run var_streamlit_dashboard.py