231–240 of 319 posts
Would have been better to have variants of each, locked to specific industries.
It also sounds like they were -forced- to make trades every day. Why? deciding not to trade is a good strategy too.
> 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.
LLMs are trained to predict the next word in a text. In what way, shape or form does that have anything to do with stock market prediction? Completely ridiculous AI bubble nonsense.
If the strategy is long, there might be alpha to be found. But day trading? No way.
Earlier quoted context omitted.
Hedge funds suck though. They don’t invest in FAANG, they do risky stuff that doesn’t pay off, you are still comparing incomparable things. I’m obviously a genius because 90% of my stock is in tech, most of us on HN are geniuses in your opinion?
What do you think hedge funds do?
Exactly. Makes no sense with models like grok. DeepSeek also likely has this leak as was trained later.
Earlier quoted context omitted.
Yeah I mean if you generally believe the tech sector is going to do well because it has been doing well you will beat the overall market. The problem is that you don’t know if and when there might be a correction. But since there is this one segment of the overall market that has this steady upwards trend and it hasn’t had a large crash, then yeah any pattern seeking system will identify “hey this line keeps going up…
You believe in the tech sector because technology always goes well and it's what humans strive to achieve, not because it has done well recently. It has always.
Agriculture would have been considered tech 200 years ago.
What is the point of this? LLMs are trained to predict the next word in a text. In what way, shape or form does that have anything to do with stock market prediction? Completely ridiculous AI bubble nonsense.
Anyways this criticism is now dated given that modern day LLMs can solve unseen reasoning problems such as those found in the IMO.
It does have something to do with the stock market, since its about making hypotheses and trading based off that. However, I'd agree that making a proper trading AI here would require reasoning based fine tuning for stock market trading actions. Sort of like running GRPO taking market feedback as the reward. the article simply cant do that due to not having access to the underlying model weight.