Machine learning in trading: theory, models, practice and algo-trading - page 3367

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Apparently, I'm far from high matter - I didn't understand anything again. You don't have to write for me.
If a certain strategy parameter has been optimised once and forgotten (it works in the future as well as on the previous data), then such a parameter can be called conditionally static.
If we have to systematically optimise the parameter to update it, then such a parameter can be represented as a function in time (at the points of optimisation). It is this function that is suggested to be used instead of systematic repeated optimisations.
Of course, this is utopia, it is tantamount to discovering the formula of the market, according to which it functions.
So we deny the science of adaptive filtering, the theory of adaptive systems..... it's utopia, it doesn't exist? ))))))).
If the machine 's period is controlled by ATR, it's also impossible... utopia?
Or is it utopia in the brain?
when the MA period is controlled by ATR (or vice versa), but it is necessary to reveal both formulas and not to scare your brain with optimisations
If you don't have a brain, that's what happens.)
when the MA period is controlled by ATR (or vice versa), but it is necessary to reveal both formulas and not to scare your brain with optimisations
Well, yes, that's the "idea" of some comrades, to get rid of optimisation. Do you know the answer to the question "How to build a self-adaptive system with the help of mashka and not to scare your brain with optimisations?"? - please tell me. As we see, many people know it but keep silent for some reason.
Naturally, whatever else such an "adaptive system" would not leak)).