How I tracked my stocks with Python

In this talk, I’ll share how I began trading stocks and why I turned to Python to track my performance—along with the abundance of surprises that came with it. We’ll walk through the building blocks of two Python-powered apps: one that extracts stock transactions from screenshots, and another that generates summaries of my trading to uncover valuable insights

Basic Python skills

What started as a curiosity about stock trading turned into a Python-powered journey of discovery. In this talk, I’ll share how I built a system to track my trades, analyze performance, and gain insights that even the trading platforms themselves didn’t offer.

We’ll explore two small but powerful apps: one that extracts stock transactions directly from screenshots using OCR and regex, and another that imports CSV data to generate summaries of trading performance. Along the way, you’ll see how I designed a regex lab to iteratively refine data extraction, how I structured and stored data with DuckDB, and how I visualized everything using Streamlit—all with simplicity and reusability in mind.

This isn’t just about trading. It’s about using Python to build small, personal automations that grow into tools you rely on. Whether you’re interested in OCR, regex, data analysis, or just looking for ideas to automate your own workflows, you’ll leave with something practical—and maybe inspired to track your own story in code