Machine learning in trading: theory, models, practice and algo-trading - page 2725

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There are methods that work.
Very curious!
Maybe at least for a while the amount of rubbish, not even rubbish, but just nonsense on the thread will decrease.
I guess there are a few traps that lead to overtraining
The main one is that the features are irrelevant to the target (as you wrote before)
The second is outliers that bias the model
The third is a large number of stationary but uninformative features. Overfitting is obtained due to the difference of features that are not relevant to the target
On a more personal note, has anyone got any results anywhere? Anything at all.
So far, I've heard one man say that his good friends know it's promising.
Here it is (DL NN) is still at this level. All attempts to drive profits out of abstract time series are still 50/50.
of course, there is a variant that who found it has gone to the land of eternal spring and swarthy maidens on a private yacht, and who had a bummer that embarrassedly keeps silent...but all others in terms of efficiency do not go anywhere from other methods.
So far, I've heard one man say that his good friends know it's a promising business.
On a more personal note, does anyone have any results anywhere? Anything at all.
So far, I've heard one man say that his good friends know it's a promising business.
Here it is (DL NN) is still at this level. All attempts to drive profits out of abstract time series are still 50/50.
Of course, there is a variant that who found it has gone to the land of eternal spring and swarthy maidens on a private yacht, and who has a bummer that embarrassedly silent...but all others in terms of efficiency do not go anywhere from other methods.
On a more personal note, does anyone have any results anywhere? Anything at all.
So far the results are the same as in other methods - you can create 100 models and 50 of them will work on completely new data, but how to determine which ones will work is a mystery.
Perhaps the solution is only in batch methods, in creating models that are not similar to each other for diversification.
I'm distracting from an interesting discussion, I have a practical question
I access a file to read it, but how do I know that it is currently available for reading?
if it is unavailable, what happens?
the help doesn't say anything clear about it.
to divert from an interesting discussion, I have a practical question.
I access a file to read it, but how do I know that it is currently available for reading?
if it is unavailable, what happens?
the help doesn't say anything clear about it.
if you can't open it for reading, INVALID_HANDLE will be returned and you can find out the cause of the error via GetLastError().
sometimes you can ask FileIsExists in advance just in case - to check if there is such a file at all.
to divert from an interesting discussion, I have a practical question.
I access a file to read it, but how do I know that it is currently available for reading?
if it is unavailable, what happens?
the help doesn't say anything clear about it.
The help says that there will be an error, there is a code example in the help
You can also check an already open file
https://www.mql5.com/ru/docs/constants/io_constants/enum_file_property_integer
FILE_IS_READABLE