Earlier quoted context omitted.
> We were cautious to only run after each model’s training cutoff dates for the LLM models. That way we could be sure models couldn’t have memorized market outcomes.
Even if it is after the cut off date wouldn't the models be able to query external sources to get data that could positively impact them? If the returns were smaller I could reasonably believe it but beating the S&P500 returns by 4x+ strains credulity.
We gave 5 LLMs $100K to trade stocks for 8 months
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Re: We gave 5 LLMs $100K to trade stocks for 8 months
#52Time. That has been the best way to get returns. I setup a 212 account when I was looking to buy our first house. I bought in small tiny chunks of industry where I was comfortable and knowledgeable in. Over the years I worked up a nice portfolio. Anyway, long story short. I forgot about the account, we moved in, got a dog, had children. And then I logged in for the first time in ages, and to my shock. My returns were…
Also N=1
Re: We gave 5 LLMs $100K to trade stocks for 8 months
#53Earlier quoted context omitted.
> We were cautious to only run after each model’s training cutoff dates for the LLM models. That way we could be sure models couldn’t have memorized market outcomes.
I know very little about how the environment where they run these models look, but surely they have access to different tools like vector embeddings with more current data on various topics?
Re: We gave 5 LLMs $100K to trade stocks for 8 months
#54> We were cautious to only run after each model’s training cutoff dates for the LLM models Grok is constantly training and/or it has access to websearch internally. You cannot backtest LLMs. You can only "live" test them going forward.
Re: We gave 5 LLMs $100K to trade stocks for 8 months
#55Earlier quoted context omitted.
I don't feel like they measured anything. They just confirmed that tech stocks in the US did pretty well.
They measured the investment facility of all those LLMs. That's pretty much what the title says. And they had dramatically different outcomes. So that tells me something.
Re: We gave 5 LLMs $100K to trade stocks for 8 months
#56Re: We gave 5 LLMs $100K to trade stocks for 8 months
#57Re: We gave 5 LLMs $100K to trade stocks for 8 months
#58OP here. We realized there are a ton of limitations with backtest and paper money but still wanted to do this experiment and share the results. By no means is this statistically significant on whether or not these models can beat the market in the long term. But wanted to give everyone a way to see how these models think about and interact with the financial markets.
Re: We gave 5 LLMs $100K to trade stocks for 8 months
#59There'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.
Re: We gave 5 LLMs $100K to trade stocks for 8 months
#60Also just one time interval? Something as trivial as "buy AI" could do well in one interval, and given models are going to be pumped about AI, ...
100 independent runs on each model over 10 very different market behavior time intervals would producing meaningful results. Like actually credible, meaningful means and standard deviations.
This experiment, as is, is a very expensive unbalanced uncharacterizable random number generator.