Skip to content

I developed a pair trading-based strategy, where I used unsupervised learning to identify correlated stocks and employs supervised methods like Linear Regression to analyze and execute trades, aiming to minimize risks and maximize returns. The trading execution is based on the z-score, which is (spread)/(standard deviation of spread)

Notifications You must be signed in to change notification settings

wanghaoxue0/quant-strat

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

I developed a pair trading-based strategy, where I used unsupervised learning to identify correlated stocks and employs supervised methods like Linear Regression to analyze and execute trades, aiming to minimize risks and maximize returns. The trading execution is based on the z-score, which is (spread)/(standard deviation of spread) and the spread is calculated based on the stock pair's price history image The performance of the matching is shown as below, image image image

About

I developed a pair trading-based strategy, where I used unsupervised learning to identify correlated stocks and employs supervised methods like Linear Regression to analyze and execute trades, aiming to minimize risks and maximize returns. The trading execution is based on the z-score, which is (spread)/(standard deviation of spread)

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published