The physicist’s systematic approach to trading

Dive into expert insights on applying a physicist’s mindset to quantitative trading, option strategies, and financial technology — all powered by Python.

Latest Posts

Adjusted vs. Unadjusted Prices: The Backtest

When you’re running a backtest, every line of code depends on a silent assumption: "The data actually reflects what happened in the market". But that assumption can break...

Adjusted vs. Unadjusted Prices: The Hidden Trap

In quantitative trading, like in physics, every model starts with data — and often, that means historical prices. But not all price data is created equal. One of the...

Building Walk-Forward Date Splits for Backtesting

When I first started backtesting strategies, I thought one long backtest was enough. It wasn’t. Markets change, conditions shift, and what worked in one year might fail...

Get the S&P 500 List: A Smarter Way

Like many traders, I started by scraping Wikipedia for S&P 500 tickers. It worked until it didn’t. In this post, I’ll share a cleaner, more professional and repeatable...

Welcome to The Quantitative Edge

It started with curiosity — a simple question that has guided me for years: Could a physicist’s systematic mindset unlock insights in financial markets? I began exploring...