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

Spread Trading with Z-Score

Pairs trading exploits the principle of relative value. Like in physics, we sometimes do not care only about absolute values — we care about deviations from a reference...

Analyzing and Detrending Yearly Cumulative Returns

Stock prices — and even their cumulative returns — often show long-term upward or downward trends that can mask underlying behavior. In this post, we’ll use Python to...

A Practical Guide to Retrieving Options Data

Understanding options data is essential if you want to move from theory to actual, structured trading strategies. Whether you’re tracking implied volatility, evaluating...

Trading Options on Seasonal Edge

Beyond just seasonal market patterns, learn to trade them using options can give you more flexibility and defined risk...

SPY Seasonality Revealed

End of year seasonality of the S&P500 ETF (SPY) is one of the most persistent pattern among the seasonal effects study. In this post, I'll take a systematic look at this...

The Hidden Patterns of Seasonal Trading

Markets may look chaotic, but under the intrinsic noise and unpredictability, some patterns quietly repeat. These seasonal effects — recurring behaviors tied to the...