I used AI to analyze every single US stock. Here’s what to look out for in 2025.

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I can already feel the vitriol from the anti-AI mafia, ready to jump in the comments to scream at me about “stochastic parrots”.

And in their defense, I understand where their knee-jerk reaction comes from. Large language models don’t truly understand (whatever the hell that means), so how is it going to know if Apple is a good stock or not?

This reaction is unfounded. There is a large body of research growing to support the efficacy of using LLMs for financial analysis.

For example, this paper from the University of Florida suggests that ChatGPT’s inferred sentiment is a better predictor of next-day stock price movement than traditional sentiment analysis.

Additionally, other researchers have used LLMs to create trading strategies and found that the strategies that were created outperform traditional sentiment methods. Even financial analysts at Morgan Stanley use a GPT-Powered assistant to help train their analysts.

If all of the big firms are investing into LLMs, there’s got to be a reason.

And so, I thought to be a little different than the folks at Morgan Stanley. I decided to make this type of analysis available to everybody with an internet connection.