Udemy

Financial Analysis: Build a ChatGPT Pairs Trading Bot

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  • 9,785 Students
  • Updated 2/2026
4.8
(1,567 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
7 Hour(s) 27 Minute(s)
Language
English
Rating
4.8
(1,567 Ratings)
1 views

Course Overview

Financial Analysis: Build a ChatGPT Pairs Trading Bot

Use ChatGPT for Algotrading, Crypto, Forex, Stock Investing, Making Money Online, +More in Python

Hello friends!


As one of the original artificial intelligence and machine learning instructors on this platform, how could I not create a course on ChatGPT?

ChatGPT and its successor, GPT-4, have already begun to change the world. People are excited about new opportunities, and terrified of the potential impacts on our society.

This course combines 2 of my favorite topics: AI and finance (algorithmic trading).

The premise of this course is simple: use ChatGPT to build a trading bot (specifically, using pairs trading which is what I was interested in at the time).

Throughout the course, we will learn about the amazing capabilities of ChatGPT and GPT models in general, such as GPT-3, GPT-3.5, GPT-4, etc. We will learn about the many pitfalls of these models, and why you need to keep your guard up. These models do make mistakes, but we will learn how to deal with them. We will learn the best ways to make use of ChatGPT to help us be more efficient and productive.

Important consideration: Why not just ask ChatGPT yourself and forego this course? Sure, you can tell ChatGPT if you get an error and maybe it'll fix it, but that only works for syntax errors (errors that break the rules of the Python language). What you'll miss, if you don't have foundational knowledge in Python, finance, and statistics, is semantic errors (errors in logic and reasoning), because you won't even notice them in the first place. That is what it means to "keep your guard up", and that is one of the major lessons in this course, which I'm already seeing is very easy for people to miss!

So what are you waiting for? Join me now on this exciting journey! ( And maybe learn how to make some money in the process :) )


Suggested Prerequisites:

  • Decent understanding of Python and data science libraries (Numpy, Matplotlib, Pandas)

  • Basic understanding of finance (stock prices, returns, log returns, cumulative returns)

Course Content

  • 10 section(s)
  • 46 lecture(s)
  • Section 1 Welcome
  • Section 2 Getting Setup
  • Section 3 Pairs Trading with ChatGPT
  • Section 4 Sanity Check
  • Section 5 Course Summary
  • Section 6 Appendix / FAQ Intro
  • Section 7 Setting Up Your Environment (Appendix/FAQ by Student Request)
  • Section 8 Extra Help With Python Coding for Beginners (Appendix/FAQ by Student Request)
  • Section 9 Effective Learning Strategies for Machine Learning (Appendix/FAQ)
  • Section 10 Appendix / FAQ Finale

What You’ll Learn

  • Use ChatGPT to build a pairs trading bot in Python, Common mistakes when using ChatGPT for coding, Pairs trading, algorithmic trading, algotrading, stock trading strategies, Computing z-scores, returns and log returns, cumulative returns, portfolio returns, Apply data science to financial analysis, Trading strategies for stocks, forex, cryptocurrencies, Bitcoin, Ethereum, altcoins

Reviews

  • P
    Patrick Ashby
    4.5

    So far, I am pleased with the pacing and the detailed breakdown of each step. Lazy Programmer's delivery is also quite detailed and communicative.

  • S
    Sonja Horn
    5.0

    Great course, providing solid statistical basis without only diving into the programming part. Also great information and response rate in the Q&As. All this in combination with using a practical example and putting all this knowledge in the context of AI. Some prior knowledge of Python and Numpy can be useful, but even without it, no worries, as the instructor has a free course going over the basics.

  • G
    Gino Fernandez
    5.0

    It's a really good and easy to follow course, with lots of exercises that challenge you the right amount for a good learning experience.

  • J
    Jose Miguel Mazo
    1.0

    disappointing

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