• Droplet [comrade/them]@hexbear.net
    link
    fedilink
    English
    arrow-up
    32
    ·
    edit-2
    2 days ago

    You cannot predict stock market, AI or not.

    In the past, you can use trend analysis to look at the historical movement of commodity prices, for example. But these days the US has gained such total control of various critical sectors (oil, energy, for example) which have significant impact on the global economy, and it can happen because of political decisions, not economic.

    For example, in 2015 oil price crash was a deliberate decision of the US to destroy the petroleum export dependent economies of Iran, Russia and Venezuela with its shale revolution. It was purely politically motivated. You literally cannot predict how the stocks will move because the world economy is dependent on what the US imperialists want to do at the spur of the moment.

    The US can bomb Nord Stream because it feels like it and there goes the European economy.

      • daniyeg@lemmy.ml
        link
        fedilink
        English
        arrow-up
        16
        ·
        2 days ago

        it says it’s using a quantitative model like all the other trading bots, not chatgpt. people were using machine learning models for trading long before gpt 4 but since the “AI” boom now everything has to be labelled AI or AI-powered.

        • invalidusernamelol [he/him]@hexbear.net
          link
          fedilink
          English
          arrow-up
          4
          ·
          2 days ago

          I remember helping a friend wrote one in R and Python like 10+ years ago when we were in highschool to predict the MISO energy market.

          Some dude paid us like $3000 to make one for him because he wanted to buy a $10k solar farm in Oklahoma so he could speculate on grid futures…

    • golli@lemm.ee
      link
      fedilink
      English
      arrow-up
      3
      ·
      2 days ago

      In recent times? Probably to some degree, but not completely.

      But I would argue that with stocks it isnt unusual for a small percentage to be the majority driver of gains. Even in smaller funds like the nasdaq100. This certainly holds true over the larger market see e.g. here.

      I am sure there was a time where your sentence would have been equally true if you replace Nvidia with Tesla, Apple, Microsoft, Google and so on. At any one time it might depend on only one or a few companies, but those stocks will change and aren’t set in stone forever.

    • context [fae/faer, fae/faer]@hexbear.netM
      link
      fedilink
      English
      arrow-up
      8
      ·
      2 days ago

      it’s having an outsized effect, i think. might be interesting if the machine learning algorithm is picking up that it’s overvalued or whatever else and that’s why it’s excluded.

      • Wheaties [comrade/them]@hexbear.net
        link
        fedilink
        English
        arrow-up
        8
        ·
        2 days ago

        I wonder if it’s just 'cus Nvidia isn’t being talked about much. “AI” is the buzzword, the There’s Gold in Them Thar Hills of this bubble. Hardware is the picks and shovels, where the real cash is being made. If they’re just training this on scrapping text from the web, that’s an easy fact to overlook.

        • golli@lemm.ee
          link
          fedilink
          English
          arrow-up
          2
          ·
          2 days ago

          So a bit like how thematic ETFs are usually not a good investment, because they follow the hype and jump on the bandwagon at a point in time where prices have already run up?

          • Wheaties [comrade/them]@hexbear.net
            link
            fedilink
            English
            arrow-up
            1
            ·
            1 day ago

            It’s pretty similar, yeah. A lot of casual investing (and even a worrying amount of professional investing) focuses too much on changes in exchange-value while overlooking use-vale. Exchange-value fluctuates with market trends, with how people feel about something and what they are willing to trade to have it. Use-value is sort of like the ‘floor’ – it’s the material value of something, its practical use.

            At the moment, the computer programmes that get called “AI” have an exchange value that almost certainly exceeds their actual use-value (which is still hazy at the moment; this stuff is pretty new). A hardware company like NVIDIA really benefits from this, because it drives up the exchange value of their computer chips, which already have an established use-value. There’s a risk here, though. At the moment, demand for chips is high and they are producing as much as they can to meet it. If it eventually turns out the use for “AI” is significantly less than its exchange value, they’ll find themselves producing more chips than people actually need.