Machine learning in trading: theory, models, practice and algo-trading - page 3342
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New from Google, TSMixer, seems to be superior to TimeGPT in benchmarks, just started reading.
I need good probabilistic forecasting for series, but not as cheesy as it is nowadays (quantile regression, for example). I didn't see anything about it in the article itself, although the list of references seems to contain some information on this topic.
We need a good probabilistic forecasting for series, but not as cheesy as it is nowadays (quantile regression, for example). I didn't see anything about it in the article itself, although there is some literature on this topic in the list of references.
https://www.r-bloggers.com/2023/12/be-part-of-the-global-r-community/?utm_source=phpList& utm_medium=email&utm_campaign=R-bloggers-daily&utm_content=HTML
I go to mechmat, I see girls sitting there.
If I don't go to the lecture, I'll lose my erection.
https://www.r-bloggers.com/2023/12/be-part-of-the-global-r-community/?utm_source=phpList& utm_medium=email&utm_campaign=R-bloggers-daily&utm_content=HTML
Sanych, what do you have to do with this post?
It's just a link to the R hangouts.
R is a whole universe.... and we're on the sidelines.
What kind of error can be attributed to the spread? This seemingly stupid problem does not give me a rest. If a model works well with a low spread, but when the spread is increased, it is worse. What exactly to fix? :) or how to train it to trade with a large spread. It would seem: make trades longer. But it doesn't work. I seem to put it in, but it is not fixed.
The spread is not an error.
It's a problem of formulating the target: there is no spread in increments between asks and increments between bits.
Simple, a link to the R hangouts.
R is a whole universe.... and we're on the sidelines.
So get involved, do something useful, show the universe.