Financial Analysis - Build a ChatGPT Pairs Trading Bot - Correcting the Return Computation

The video tutorial discusses using ChatGPT to identify and correct errors in code, focusing on calculating portfolio returns. It highlights the importance of basing returns on actual asset returns rather than Z scores. The tutorial explains the process of calculating returns, including cumulative returns, and discusses trading simulations using daily data. The video also reflects on the capabilities of ChatGPT in correcting code based on natural language input, emphasizing the technological advancements it represents.

What approximations are made when trading in the simulations discussed?

What are the implications of using the close price for trading simulations?

How does the teacher feel about the capabilities of ChatGPT in correcting code?