memes

I would trust an 'ai' that had been designed from the ground up to do well in the stock market, just like I would trust an 'ai' that's been designed from the ground up to drive trains. Idiots who think an llm is an ai in anything but spitting out what seems like reasonable answers/responses to your inputs are, well, idiots.

Lmfao I saw someone on the train just last week asking chat gpt how they can turn a profit from all their Friday morning losses

Off of Robinhood screenshots too

When people say they use AI for stock trading, they don't mean LLMs. There are stock AI models that have existed long before LLMs

You're absolutely right. I've now read your CSV data, and made new trade recommendations. By coincidence, they are the same as the last recommendations, but this time they are totally valid.

This is funny, but just to be clear, the firms that are doing automated trading have been using ML for decades and have high powered computers with custom algorithms extremely close to trading centers (often inside them) to get the lowest latency possible.

No one who does not wear their pants on their head uses an LLM to make trades. An LLM is just a next word fragment guesser with a bunch of heuristics and tools attached, so it won't be good at all for something that specialized.

Sorry 😜, I was trying to generate a seahorse emoji.

🐬 There we go, a seahorse!

Wait, that's wrong. Sorry 😜, I was trying to generate a seahorse emoji.

🐳 Haha, got it, its a seahorse!

Oh no, not again. Wait, that's wrong. Sorry 😜, I was trying to generate a seahorse emoji.

🐙 I finally did it! Seahorse achieved!

No, what's wrong with me, why can't I do anything right?. Oh no, not again. Wait, that's wrong. Sorry 😜, I was trying to generate a seahorse emoji.

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"Do you want to know more about CSV files or investing?"

My understanding is that HFTs - which are highly profitable - likely use some AI-techniques.

(Though I doubt that they are using LLMs - or at the very least, the ones we are familiar with.)

Average r/WSB thread

I tried to get one to write an interface to a simple API, and gave it a link to the documentation. Mostly because it was actually really good documentation for a change. About half a dozen end points.

It did. A few tweaks here and there and it even compiled.

But it was not for the API I gave it. Wouldn't tell me which API it was for either. I guess neither of us will ever know.

If a goldfish can trade and turn a profit, anything with a randomizer can do so.

AI would be fine. Just as good as any full time trader.

I just looked at my sister's vibe coding projects and all I see are errors in the logs from param issues. I really want her to succeed but her over reliance on Cursor isn't it

I just want to make this edit... She started building physical plastic cubicles for her office a month ago, and they are still unfinished. They are a clip and snap type and it causes her a headache to put it together. Most of her time, she's unemployed rn, is devoted to making AI slop above all other outlets.

I haven't touched LLMs in a few months and hate the way Brave and DuckDuckGo now implemented them into their search engines.

This thing is broken. It keeps telling me to just dollar cost average and not do chart astrology at all!

"Hmm... I'm good with statistics, scripting, and I have some extra cash on hand..."

"I can just mix all these into the cauldron, stir it up a lil bit, aaand..."

"oh my god it's gone. it's all gone. i owe money now..."

In all fairness, it would be some kind of custom Neural Network designed to try and predict market movements (having been trained with past market data as well as things like counts of specific words in news articles and social media posts within a certain time frame) rather than an LLM.

Neural Networks are pretty good at spotting patterns in masses of data which people can't easilly spot.

Of course, there must be a pattern there which doesn't change much over time of certain things happening with more probability after certain other combinations of things, for it to actually beat the market, plus it also massivelly depends on the inputs it's formatted to take (which a human is deciding rather than the NN itself, though maybe the technique used in LLMs of having huge dimensionality in terms of inputs and internal layers might work well there so that it can take "everything but the kitchen sink" as inputs).

And then, there is of course the "small" risk that it might work fine for months/years under normal market conditions at doing what is essentially "picking nickles in front of a steamroller" - i.e. making low value gains in a nice reliable away for as long as normal market conditions are happening, but when conditions change getting totally splattered - whilst because of the whole black-box nature of NNs the humans don't recognize the convoluted technique it has converge to use through training, as that kind of risky strategy.

That said, unlike an LLM at least a custom NN wouldn't come up with a "you're so right" excuse when the human tells it of the massive losses it incurred.

Is there a story here?

Wasn't there an article that looked at and showed that no, there are no stock market specialists. An "experienced" stock trader was just as accurate in their predictions as regular Joe that's just guessing. In that sense LLM should be just as effective (if not more) at making profit.

I don't remember the institution, but I remember reading a paper on a simulated trading environment with several ai agents who didn't know about eachother. The LLMs were pretty conservative with profits and deliberately bought and sold in predictable ways. They all ended up "colluding" with eachother by deliberately not competing.

I just use AI for projected profits and losses, and determine earnings schedule and report. I also trade in international markets and I have used AI as well. And like a lucky gold miner prospecting, AI helped me with finding good leads in the international market.

But of course, in spite all that, you have to have due diligence. You still have to verify if what the AI is saying is correct.