Oh there are practical applications if you know where to look. For instance I’m training a trading AI to spot patterns in numbers and indicators that aren’t necessarily common knowledge.
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.
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.
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.
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.
Oh it can signal shorts already. I’d just need to plug it into a specific trading platform to execute it automatically (right now it just notifies me on its advice; I’m in the manual testing phase)
Oh there are practical applications if you know where to look. For instance I’m training a trading AI to spot patterns in numbers and indicators that aren’t necessarily common knowledge.
I obviously don’t.
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.
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.
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.
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.
Teach it how to short sticks and it can lose you infinite money.
It’ll be like wallstreetbets AI.
Haha maybe you’re right. But it hasn’t done me dirty yet, in fact it works pretty solid.
Teach it to short automatically and get back to me.
Oh it can signal shorts already. I’d just need to plug it into a specific trading platform to execute it automatically (right now it just notifies me on its advice; I’m in the manual testing phase)