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Because they have the money.


I just don't see the value prop for LLM for financial markets specifically but I guess I'm not familiar with the workflows of analysts.

"Backtest this for me"

"Analyze this"

"Find a pattern"

"Beat the market"


I'd imagine the main use case is to whitewash insider trading signals ...


Your imagination is pretty bad then


Reading tons of reports, no?


> Reading tons of reports, no?

  Reading != Understanding


Sure. I'm not saying it's a good idea. It was a glaring omission from the provided list.


It is an excellent idea - the first useful LLM most in finance have / will interact with is to throw the 1000's of daily reports into a vector database and query against that.

"Whats the consensus in todays research about AAPL?" Out comes a distilled report with clickable links back to the ai slop Goldmans et al sent out this morning.


> a distilled report with clickable links back to the ai slop Goldmans et al sent out this morning.

A summary with links back to AI slop is a _useful_ outcome? Why?


> Ai slop summary with links back to AI slop is a _useful_ outcome? Why?

Saves the junior from coming in at 4am to spend 3 hours doing it. They can spend more time fixing the slide deck.


Are you being sarcastic, or does finance really involve this much garbage-in/garbage-out?




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