Financial Analysis: Build a ChatGPT Pairs Trading Bot

  • Welcome
  • Introduction
Introduction
01:20
Project Scope
04:15
Course Tools
00:48
How to Succeed in this Course
03:04
Where to get the code
02:06
Pairs Trading Intuition
06:42
The Initial Prompt
25:14
Correcting the Trading Signal
07:24
Correcting the Z-Score Computation
10:53
Correcting the Return Computation
05:28
Correcting How We Measure Strategy Performance
06:29
Returns, Log Returns, Cumulative Returns
18:42
More About Log Returns (Optional)
06:39
Strategy Performance Computation (Optional)
13:48
Asking ChatGPT for Pairs
13:27
Testing the Strategy
05:24
Benchmark Against Buy-and-Hold
05:33
Fixing the Spread
04:27
Extending the Position
05:14
Extending the Position (Code)
02:38
Asking ChatGPT to Fix an Error
06:49
More Pairs
05:59
Long-Only Strategy
04:11
Long-Only Strategy (Code)
05:10
Return Computation Revisited and Other Extensions (Optional)
27:52
Return Computation Revisited (Code)
01:49
Suggestion Box
03:10
Mean Reversion Test
24:36
Pairs Trading Test
12:15
Conclusion and Lessons
05:42
Remedial: Learning to Code With AI
15:50
Debugging AI Coding Errors
14:22
ChatGPT Knows Who I Am!?
07:56
What is the Appendix?
03:47
Pre-Installation Check
04:13
Anaconda Environment Setup
20:21
How to install Numpy, Scipy, Matplotlib, Pandas, PyTorch, and TensorFlow
17:33
How to Code Yourself (part 1)
15:55
How to Code Yourself (part 2)
09:24
Proof that using Jupyter Notebook is the same as not using it
12:29
How to use Github & Extra Coding Tips (Optional)
11:12
How to Succeed in this Course (Long Version)
10:25
Is this for Beginners or Experts? Academic or Practical? Fast or slow-paced?
22:05
What order should I take your courses in? (part 1)
11:19
What order should I take your courses in? (part 2)
16:07
Where to get discount coupons and FREE deep learning material
05:49
Introduction
01:20
Project Scope
04:15
Course Tools
00:48
How to Succeed in this Course
03:04
Where to get the code
02:06
Pairs Trading Intuition
06:42
The Initial Prompt
25:14
Correcting the Trading Signal
07:24
Correcting the Z-Score Computation
10:53
Correcting the Return Computation
05:28
Correcting How We Measure Strategy Performance
06:29
Returns, Log Returns, Cumulative Returns
18:42
More About Log Returns (Optional)
06:39
Strategy Performance Computation (Optional)
13:48
Asking ChatGPT for Pairs
13:27
Testing the Strategy
05:24
Benchmark Against Buy-and-Hold
05:33
Fixing the Spread
04:27
Extending the Position
05:14
Extending the Position (Code)
02:38
Asking ChatGPT to Fix an Error
06:49
More Pairs
05:59
Long-Only Strategy
04:11
Long-Only Strategy (Code)
05:10
Return Computation Revisited and Other Extensions (Optional)
27:52
Return Computation Revisited (Code)
01:49
Suggestion Box
03:10
Mean Reversion Test
24:36
Pairs Trading Test
12:15
Conclusion and Lessons
05:42
Remedial: Learning to Code With AI
15:50
Debugging AI Coding Errors
14:22
ChatGPT Knows Who I Am!?
07:56
What is the Appendix?
03:47
Pre-Installation Check
04:13
Anaconda Environment Setup
20:21
How to install Numpy, Scipy, Matplotlib, Pandas, PyTorch, and TensorFlow
17:33
How to Code Yourself (part 1)
15:55
How to Code Yourself (part 2)
09:24
Proof that using Jupyter Notebook is the same as not using it
12:29
How to use Github & Extra Coding Tips (Optional)
11:12
How to Succeed in this Course (Long Version)
10:25
Is this for Beginners or Experts? Academic or Practical? Fast or slow-paced?
22:05
What order should I take your courses in? (part 1)
11:19
What order should I take your courses in? (part 2)
16:07
Where to get discount coupons and FREE deep learning material
05:49

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