• helenslunch@feddit.nl
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    10 months ago

    if you know where to look.

    I obviously don’t.

    I’m training a trading AI to spot patterns in numbers and indicators that aren’t necessarily common knowledge.

    For what purpose?

    • 520@kbin.social
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      10 months ago

      For what purpose?

      The short version: making trading decisions based on technical data.

      The long version: there are traders out there that do their operations using statistical formulas called indicators.

      There are lots of such indicators out there, and hey, it’s pretty easy when they all point one direction, but what happens if they don’t? What happens if you only get a few conclusive indicators and the rest are inconclusive? What if you were to combine specific indicators to get a more conclusive answer?

      If there is one thing AI is good at, it is exploiting numbers and patterns in service of a very specific and easily measurable goal. Mine is trading profits.

      • helenslunch@feddit.nl
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        10 months ago

        Yeah I don’t buy it. People have been trying to create such algorithms for decades. Problem is no algorithm can account for the complexity and completely illogical decisions of humans.

        • jj4211@lemmy.world
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          9 months ago

          Also, stock prediction can change the thing being predicted. Once a critucal mass of people believe in a certain prediction strategy, then their own actions screw up the prediction. It’s not like predicting some natural or external thing.

        • 520@kbin.social
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          10 months ago

          Oh yeah, this thing will never be able to predict events like GME or that kind of thing.

          The thing is though, I don’t have to beat the first couple or even the first 50 trades. I just have to beat the babdwagoning masses by detecting upticks and downward trends, something my software can do and act upon faster than any human.