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Advanced VaR Risk Management Dashboard 📈

ML-Enhanced Value at Risk (VaR) Dashboard for Institutional Portfolio Risk Monitoring and Backtesting.

Features

  • 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

Tech Stack

  • Python, Streamlit
  • yFinance, NumPy, SciPy, scikit-learn
  • Plotly, Seaborn, Matplotlib

Live App

Live Demo

Installation

pip install -r requirements.txt
streamlit run var_streamlit_dashboard.py

About

ML-enhanced Streamlit app for estimating VaR, Expected Shortfall, and detecting market regimes.

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