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Decoding the quant market a guide to machine learning in trading

  • Paper
  • Jan 1, 2023
  • #Trading #ChatGPT
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I know… It’s not cool no more. But I felt I had to revisit “From Data to Trade” with ChatGPT-4, and see what could be trivially retrieved from its weights! The progress between the... Show More

I know… It’s not cool no more. But I felt I had to revisit “From Data to Trade” with ChatGPT-4, and see what could be trivially retrieved from its weights!
The progress between the two versions is amazing! To a point, I had a near philosophical discussion with a former colleague on transformers, information theory, lossy vs. lossless compression, and the possibility that, at some point, all human knowledge could be stored in only a few hundred billions parameters.

“Decoding the Quant Market” is definitely better than ChatGPT-3.5’s “From Data to Trade” essay produced last year, and while it won’t make you rich, this book contains lots of interesting entry points to relevant systematic and quant trading concepts that you can explore further with cornerstone books, papers, or even better, if you are in position to do so, by interacting with markets.

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Gautier Marti @GautierMarti1 · Apr 18, 2023
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  • From www.linkedin.com
“Decoding the Quant Market” is definitely better than ChatGPT-3.5’s “From Data to Trade” essay produced last year, and while it won’t make you rich, this book contains lots of interesting entry points to relevant systematic and quant trading concepts that you can explore further with cornerstone books, papers, or even better, if you are in position to do so, by interacting with markets.
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