qpbqr/Statistic-Arbitrage-in-US-tech-stocks

Jupyter Notebook4 stars0 forks

What it does

This repository implements a statistical arbitrage strategy focused on US tech stocks by utilizing mean reversion principles and PCA for risk management. It aims to enhance trading decisions by isolating idiosyncratic returns from common market movements.

Star history

Not enough history yet — 1 day(s) recorded. The daily snapshot builds this up.

Tracking

Last trending: 2026-02-21

Creator kit

Hook

Unlock the secrets of trading US tech stocks with this statistical arbitrage prototype that leverages mean reversion!

Content angles

Create a tutorial on implementing statistical arbitrage strategies using Python and Jupyter Notebooks.
Discuss the implications of using PCA for risk management in trading and how it can improve performance.
Analyze the performance of this trading strategy compared to traditional methods in a blog post.

Who should care

Traders, data scientists, and finance enthusiasts interested in algorithmic trading strategies.