Machine learning in trading: theory, models, practice and algo-trading - page 2736
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No slang, of course. Representation as an image of an object in the mind is a long-used term. Representing an object as a string of numbers is a recent and deeply secondary concept. The list of predictors itself is built on the basis of our personal perception of the object and therefore it will never coincide in two different "machinists". This, by the way, is one of the reasons why a meaningful discussion of specifics in this thread is hardly possible.
there are suspicions that some forum persons, and even more so the filling of sites "profitable Expert Advisors and signals" is the result of AI. That is, NN are making money on the topic of near-trading.
Absolutely neural networks and big-data earn (trade) on trend analysis of social networks. That's why they are sponsored and therefore somewhat lopsided; but it's beyond our capabilities :-(
Personally, I dislike the original idea of quotes as a time series. If I formalise my idea of them mathematically, they are piecewise constant functions from time (continuous on the right). Moreover, the area of values can be of very different nature - for example, numbers, vectors, the state of the stack, etc. In addition to prices, there is other necessary information, which can be represented by the same functions (session state, news, etc.), and the area of values here can also be very diverse.
But meaningful computational work with continuous time functions is practically impossible, so some discretisation is always done. It can be done very differently and unanimity here is hardly achievable in principle.
You're still d-- the bible he gave you.
????? Which one is it?
I'm not interested in talking to you, or eating sunflower seeds with the boys.
Of course. What you say, you put your arse in a puddle.
You've either got a squirrel or you're getting delusions of grandeur.