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. #DecodingTheQuantMarket #QuantitativeTrading #MachineLearning #AI #ChatGPT4
Out of curiosity, is it hallucinations cleaned up?
I assume it also generated the references. That is incredibly cool, but I’m kind of lost with how they are directly connected to the text, e.g. I do remember the Sculley et al paper from SIGKDD ‘12, though iirc it’s about large scale classification with extreme imbalances 🤷♂️ maybe it sees something I don’t lol.
What would it's output be if we ask "Summarize and reference all the papers applying NLP to financial market forecasting"?
Impressive improvements. Has anybody connected GPT4 to an Interactive Brokers paper account?
Hanyu(Jeff) Duan look at this
Getting ridiculous. 😀 It would be very interesting to see a guide/walkthrough on how to create such a document.
Thanks for sharing! 👌
Cryptocurrency Derivatives
2yCan you pls re-explain how this was produced. Tks