An object-oriented, Walk-Forward quantitative risk engine designed to estimate 99% Value at Risk (VaR) and 97.5% Expected Shortfall (ES) for a multi-asset portfolio. This model bypasses the flawed ...

GitHub Trends is a place that tells you in real-time what engineers around the world are building and using right now. This week (the fourth week of June 2026), a wide variety of repositories have ...

But unlike most quants, I run a concentrated, fundamentals-based portfolio. More than 50% of my fund is invested in only eight companies, and they're the kinds of stocks that Peter Lynch and Charlie ...

I built this project to practice turning trading ideas into a structured Python model. The main goal was not to create a production trading system, but to better understand how signal logic, position ...

Trading as a lifetime career option was generally considered taboo in India a few years back. However, times have changed and trading has been one of the most rewarding choices of all time. There are ...

Moving from Python lists to NumPy arrays made it possible to use optimized vectorized dot product operations instead of manually looping through values in Python. The project has given me a much ...

When modelling the impact of events that have never happened before, historical data fails us. No time series can tell you what happens when the Strait of Hormuz — through which 20% of the world's oil ...