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  • Financial Analysis: Build a ChatGPT Pairs Trading Bot

Financial Analysis: Build a ChatGPT Pairs Trading Bot

  • By admin
  • Finance & Accounting
    (0.0/ 0 Rating)
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  • Description
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19111

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)

Getting Setup
  • 1
    Introduction
    Video lesson
  • 2
    Project Scope
    Video lesson
  • 3
    Course Tools
    Video lesson
Pairs Trading with ChatGPT
  • 4
    How to Succeed in this Course
    Video lesson
  • 5
    Where to Get the Code
    Video lesson
Sanity Check
  • 6
    Pairs Trading Intuition
    Video lesson
  • 7
    The Initial Prompt
    Video lesson
  • 8
    Correcting the Trading Signal
    Video lesson
  • 9
    Correcting the Z-Score Computation
    Video lesson
  • 10
    Correcting the Return Computation
    Video lesson
  • 11
    Correcting How We Measure Strategy Performance
    Video lesson
  • 12
    Returns, Log Returns, Cumulative Returns
    Video lesson
  • 13
    More About Log Returns (Optional)
    Video lesson
  • 14
    Strategy Performance Computation (Optional)
    Video lesson
  • 15
    Asking ChatGPT for Pairs
    Video lesson
  • 16
    Testing the Strategy
    Video lesson
  • 17
    Benchmark Against Buy-and-Hold
    Video lesson
  • 18
    Fixing the Spread
    Video lesson
  • 19
    Extending the Position
    Video lesson
  • 20
    Extending the Position (Code)
    Video lesson
  • 21
    Asking ChatGPT to Fix an Error
    Video lesson
  • 22
    More Pairs
    Video lesson
  • 23
    Long-Only Strategy
    Video lesson
  • 24
    Long-Only Strategy (Code)
    Video lesson
  • 25
    Return Computation Revisited and Other Extensions (Optional)
    Video lesson
  • 26
    Return Computation Revisited (Code)
    Video lesson
  • 27
    Suggestion Box
    Video lesson
Course Summary
  • 28
    Mean Reversion Test
    Video lesson
  • 29
    Pairs Trading Test
    Video lesson
Setting Up Your Environment (Appendix/FAQ by Student Request)
  • 30
    Conclusion and Lessons
    Video lesson
  • 31
    Why So Many Errors?
    Video lesson
  • 32
    ChatGPT Knows Who I Am!?
    Video lesson
Extra Help With Python Coding for Beginners (Appendix/FAQ by Student Request)
  • 33
    Pre-Installation Check
    Video lesson
  • 34
    Anaconda Environment Setup
    Video lesson
  • 35
    How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow
    Video lesson
Effective Learning Strategies for Machine Learning (Appendix/FAQ)
  • 36
    How to Code Yourself (part 1)
    Video lesson
  • 37
    How to Code Yourself (part 2)
    Video lesson
  • 38
    Proof that using Jupyter Notebook is the same as not using it
    Video lesson
  • 39
    How to use Github & Extra Coding Tips (Optional)
    Video lesson
Appendix / FAQ Finale
  • 40
    How to Succeed in this Course (Long Version)
    Video lesson
  • 41
    Is this for Beginners or Experts? Academic or Practical? Fast or slow-paced?
    Video lesson
  • 42
    What order should I take your courses in? (part 1)
    Video lesson
  • 43
    What order should I take your courses in? (part 2)
    Video lesson
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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Course Includes:

  • Price:Free
  • Instructor:admin
  • Duration:7 total hours
  • Lessons:1
  • Students:5399
  • Certifications:No
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