Democratizing Quantitative Financial Analysis

Hi everyone!

I built a comprehensive portfolio risk management dashboard for cryptocurrency analysis. It’s designed to help traders and investors understand their portfolio risk through industry-standard metrics.

Live App: https://cbqra-pro.streamlit.app/

https://github.com/JCP9415/crypto-risk-management-pro-dashboard

Key Features

Risk Metrics: Value at Risk (VaR), Conditional VaR, Sharpe Ratio, Expected Volatility, and Worst Case Drawdown

Risk Profiles: Choose from conservative, moderate, or aggressive strategies

Backtesting Engine: Test portfolio performance with historical simulations

Smart Glossary: 102 financial terms with definitions built into the sidebar

Default Dataset: Pre-loaded with 5 crypto assets (XRP, XLM, XMR, TRX, DOGE) or upload your own CSV files

Interactive Visualizations: Built with Plotly for dynamic exploration

Tech Stack

Streamlit for the UI

Pandas & NumPy for data processing

Plotly for interactive charts

Monte Carlo simulations for risk modeling

The app is particularly useful for anyone wanting to quantify portfolio risk beyond simple price charts.

All calculations follow standard financial risk management methodologies.

Would love to hear feedback from the community!

Let me know if you have suggestions for additional features or improvements.

In Lak'ech,

JaiChai