Machine learning in trading: theory, models, practice and algo-trading - page 1937
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Anyway, my friends, patterns do exist, you just need to be able to see them, and algorithms can see them better than humans.)
I don't think it's an accident...
At what moment (during the event, after N bars?) were these patterns identified and how is their range formed (the width, the pattern is different, as I understand)?
Let's calm down and let's not get nervous!
Alexei you're wrong, I explained you as best I could, you want to call white black and black white, thereby distorting reality for yourself and others, your business, I do not want to get nervous and waste my energy on nonsense
Alexei you're wrong, I explained you as best I could, you want to call white black and black white, thus distorting reality and yourself and others, your business, I do not want to get nervous and waste my energy on nonsense
Thank you for trying, from the bottom of my heart, to bring me the truth!
However, now we have exchanged concepts and will understand each other better.
Guys, you've thrown so much code around lately that I'm embarrassed that I didn't save it. Be kind enough to squeeze it out afterwards, but in the meantime check out my avatar's history...
Dip dip trabble.
And a classic...
Bartman
Time Series Analysis with R
Here is another book on R - a fresh one
Time Series Analysis with R
I read it, and threw it in a branch here... nobody needs it))
2. what's holding you back?
I don't understand what he wants.
> PR <- predict(um , X) Error in cbind(t(d), t(spectators)) : number of rows of matrices must match (see arg 2)
I don't understand what he wants.
What's in "X"?
The data is the same as in the training or not?