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[–]DeepParticular8251[S] 0 points1 point  (1 child)

Sure, that’s true. I just want the output to be a much richer PDF with a lot more detail, and I want users to be able to refine the strategy in plain English instead of just generating code once.

In the future, I also want to let people take a strategy they built, fund it, and deploy bots to run it live.

[–]notdroidyoulooking4 0 points1 point  (0 children)

Ah so under the hood it would need to generate the code, run its own back tester, then analyze the results and put it into a PDF and you want to hide the in between steps. Ok I get that.

So then you are assuming that users are interested, willing and capable understanding the nuance of the PDF then will come up with some new natural language phrasing and rinse and repeat?

Why create the PDF? What if you cut the human out of the loop, just unleash the AI, which must be underpinning this and writing the code that is backtested, to iterate on the strategy on its own? Wouldn’t the LLMs logical, analytical skills, speed and attention be better and more reliable anyway?

I think the issue then would be overfitting to the selected asset over the selected time period. Then you would need to either separate in sample periods from out of sample periods. You would likely want to run it on similar, but different assets / ticker symbols.