Python

A deep dive into building a regime-aware trading system that uses Hidden Markov Models to classify market conditions and dynamically allocate across a strategy pool — from feature engineering to live paper trading.

A detailed walkthrough of how I built a dynamic and customizable Stocks Screener using Python, Streamlit, and real financial data. This project combines finance and data science principles to empower investment research through factor-based strategies.