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I’ve been doing this as well it also works well when you hook it up to Edgar or feed in investor relations documents or earnings transcripts. You can extract a lot of data at scale for regressions using small models with few shot prompts running locally.

What do you mean by "regressions"?

Scraping the documents with llm to generate numerical metrics and applying statistics on numbers

OP likely means statistical regressions.

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