Machine learning in trading: theory, models, practice and algo-trading - page 1157
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Knowing in advance that no one will do any of what I suggest, but still.
1. Everyone knows that real BP and its increments are 98% like a stationary Laplace motion random process, except for the 2% abnormal outliers in the "heavy" tails.
Those 2% are the reason for the 98% loss) Think of it as an enhanced version of the 80/20 rule
That 2% is the reason for the 98% loss) Think of it as an enhanced version of the 80/20 rule
I agree.
So that's the problem - by all means remove, exclude these 2% from BP. For pure stationary Laplace motion, using Lyapunov's TSP, my TS gives the most confident "+".
I agree.
So that is the task - by all means remove, exclude these 2% from BP. For pure stationary Laplace motion, using Lyapunov's TSP, my TS gives the most confident "+".
I agree.
So that is the task - by all means remove, exclude these 2% from BP. For on pure stationary Laplace motion, using Lyapunov's TSP, my TS gives the most confident "+".
2%? Getting in the way? This is from the cycle of the bad dancer.
A 2% noise level for most signals is like no noise at all.
2%? Getting in the way? This is from the cycle of the bad dancer.
A 2% noise level for most signals is like no noise at all.
Yuri, please show us the original BP and the converted stationary BP. You can leave the filter as a secret. А?
Yuri, please show us the original BP and the converted stationary BP. You can leave the filter a secret. А?
I do not do this. And it's not in my plans).
This is an artificial series of Laplace motion with the start at 0 and nothing more.
So far my TS is giving the conditional +175.86 pips on the 1st series of 25 trades (+14/-11). I'll check it further...
Can the NS get anything out of them?
I'm sorry, but I can't work purely with numbers without logic, and I'm not interested in looking for logic in excel. I'll watch from the outside.
I'm sorry, but I can't work purely with numbers without logic, and I'm not interested in looking for logic in Exel. I will observe from the sidelines.
There's nothing to observe. On those stationary rows, which I have posted, my TS gives the most confident profit.
Therefore, for me, the main task is to convert the real BP to a stationary form.
I think the same should be in the first place for neural networkers. Everything else is a trifle.
There's nothing to see here. On those stationary series, which I posted, my TS gives the most confident profit.
Therefore, for me, the main task is to convert the real BP to a stationary form.
I think the same should be in the first place for neural networkers. Everything else is nonsense.
I don't know, I'm not a deep expert in neural networks, rather work with trees, but my file for finding solutions looks like a set of predictors with a target.
Is anyone working with anything other than time series/increments?
I need help, I have predictors, I have targets, but I don't know how to get the most out of the data - very little training experience (different models show different results with default settings).
Can anyone help on this issue?