Machine learning in trading: theory, models, practice and algo-trading - page 2973
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I don't know what there is not to learn - for me, something is to learn. For example, my Accuracy can be as high as 70%, but this is still not an objective indicator.
In general, the problem is not in the possibility of getting a model that will continue to work, but in the following:
1. Obtaining a stable segment of the initial predictor (for example, based on an indicator), which will retain its statistical characteristics in the future.
2. selecting a model from a set of models that are more likely to be effective in the future on new data.
I have shown all this in the corresponding thread, and I think it is necessary to solve the problem starting from the first point. What I am doing, but I need ideas from non-standard approaches of descriptive statistics.
My idea is to get a model, which will select stable quantum segments by a number of statistical features. Anyone interested is welcome to join this project.
Again, it's an optimisation problem. Nothing complicated.
It's a question of predictors.
A question about predictors.
Optimisation problem
Could you try to elaborate your point of view more fully?
Try to state your point of view in more detail?
Try to be more specific.
So you're giving a solution without understanding the problem?
I'm confused. Would you like to help?
So you're giving a solution without understanding the problem?
I'm confused. Do you want to help?
Yeah, no.
Then what was all that idle chatter about?
Then what was the point of this idle conversation?
And it's gonna be empty anyway
Well, yes, if you don't want to.