We gave 5 LLMs $100K to trade stocks for 8 months
11–20 of 319 posts
Re: We gave 5 LLMs $100K to trade stocks for 8 months
#12I'm not an investor or researcher, but this triggers my spidey sense... it seems to imply they aren't measuring what they think they are.
Re: We gave 5 LLMs $100K to trade stocks for 8 months
#13It’d be great to see how they perform within particular sectors so it’s not just a case of betting big on tech while tech stocks are booming
Re: We gave 5 LLMs $100K to trade stocks for 8 months
#14> Almost all the models had a tech-heavy portfolio which led them to do well. Gemini ended up in last place since it was the only one that had a large portfolio of non-tech stocks.
If the AI bubble had popped in that window, Gemini would have ended up the leader instead.
Re: We gave 5 LLMs $100K to trade stocks for 8 months
#15Re: We gave 5 LLMs $100K to trade stocks for 8 months
#16> Testing GPT-5, Claude, Gemini, Grok, and DeepSeek with $100K each over 8 months of backtested trading So the results are meaningless - these LLMs have the advantage of foresight over historical data.
Re: We gave 5 LLMs $100K to trade stocks for 8 months
#17Re: We gave 5 LLMs $100K to trade stocks for 8 months
#18> Grok ended up performing the best while DeepSeek came close to second. Almost all the models had a tech-heavy portfolio which led them to do well. Gemini ended up in last place since it was the only one that had a large portfolio of non-tech stocks. I'm not an investor or researcher, but this triggers my spidey sense... it seems to imply they aren't measuring what they think they are.
Re: We gave 5 LLMs $100K to trade stocks for 8 months
#19> Grok ended up performing the best while DeepSeek came close to second. Almost all the models had a tech-heavy portfolio which led them to do well. Gemini ended up in last place since it was the only one that had a large portfolio of non-tech stocks. I'm not an investor or researcher, but this triggers my spidey sense... it seems to imply they aren't measuring what they think they are.