Machine learning in trading: theory, models, practice and algo-trading - page 2393
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Got to the fit, then the error: fit() missing 1 required positional argument: 'timeseries_data'
Probably need some other format for feeding time series
I'll get to it later, I don't have time yet. I wanted to write my generative using lstm.
Apparently you need some other format for the time series
https://sdv.dev/SDV/user_guides/timeseries/par.htmlYes, there is in the description
sent a new article for review, with new ideas
the article is not approved? something it does not appear in the list
Didn't you approve the article? It doesn't appear on the list.
I decided to hold back, there were some changes, which have no time to finish
I've decided to hold back, there are some things I have no time to finish yet
If you want to convert your EA to MQL4, should I rewrite everything? Or it can be done with a single includeMT4Orders?
to convert your EA to mq4 do you need to rewrite everything? or it is done with a single includeMT4Orders?
you need to remove mt4Orders and see what other compilation errors you need to fix in your code, because the languages are a bit different
Hi!
Here's an article about neuro-prediction -https://otexts.com/fpp2/nnetar.html
Read it if you're interested. There are many examples, codes, etc.
Hi!
Here's an article about neuro-prediction -https://otexts.com/fpp2/nnetar.html
Read it if you're interested. There are lots of examples, codes, etc.
Nah, it doesn't work for the market...
First, only price is taken into account, and this is a single-domain vector... And what if you want to work with 3k signs?
The solutions are dimensional reduction methods.
Secondly, the market is NOT a time series, so in fact it is, but in fact it isn't, the market doesn't obey those laws of those algorithms that are made for time series prediction...
The solution is to look at the market from the point of view of levels or limit orders.