About

I'm Shaurya, an MBBS student interested in how rigorous evidence and decision-making frameworks translate across disciplines.

Pre-specifying a hypothesis before testing it, holding out data the method has never seen, correcting for how many things you tested, and reporting negative results honestly are standard practice in evidence-based medicine. This project applies the same discipline to financial markets — treating a trading hypothesis the way a clinical hypothesis would be treated: something to be disproven, not confirmed.

This project is active and ongoing — not a closed body of work.

coolshaurya2002@gmail.com