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We gave 5 LLMs $100K to trade stocks for 8 months

aitradearena.com

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Re: We gave 5 LLMs $100K to trade stocks for 8 months

#103
post #10

There's also this thing going on right now: https://nof1.ai/leaderboard Results are... underwhelming. All the AIs are focused on daytrading Mag7 stocks; almost all have lost money with gusto.

Let me guess, the mystery model is theirs

It says "Undisclosed frontier AI Lab (not Nof1)"

Re: We gave 5 LLMs $100K to trade stocks for 8 months

#104
Is it just prompting LLMs with "I have $100k to invest. Here are all publicly traded stocks and a few stats on them. Which stocks should I buy?" And repeat daily, rebalancing as needed?

This isn't the best use case for LLMs without a lot of prompt engineering and chaining prompts together, and that's probably more insightful than running them LLMs head-to-head.

Re: We gave 5 LLMs $100K to trade stocks for 8 months

#110

Earlier quoted context omitted.

> It would almost be more interesting to specifically train the model on half the available market data, then test it on another half. Yes, ideally you’d have a model trained only on data up to some date, say January 1, 2010, and then start running the agents in a simulation where you give them each day’s new data (news, stock prices, etc.) one day at a time.

I mean ultimately this is an exercise in frustration because if you do that you will have trained your model on market patterns that might not be in place anymore. For example after the 2008 recession regulations changed. So do market dynamics actually work the same in 2025 as in 2005? I honestly don’t know but intuitively I would say that it is possible that they do not. I think a potentially better way would be to…

> you will have trained your model on market patterns that might not be in place anymore

My working definition of technical analysis [0]

[0]: https://en.wikipedia.org/wiki/Technical_analysis

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