Machine learning in trading: theory, models, practice and algo-trading - page 2043
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Hmm... I'll have a look. I haven't worked with TF above M15 yet...
Where's your signal? I put it in my favorites to watch it, and now it's gone. What happened?
Where's your signal? I put it in my favorites for easy viewing, and now it's gone. What happened?
He must have found the Grail and gone to the Quiet House. )
Interesting video, Maxim Is this the approach you are taking?
Interesting video, Maxim Are you engaged in this approach?
Sort of, yes, but I haven't done it yet) as I have little faith in the success of this activity.
Networks work better on homogeneous data such as images or signals. Trees are better on heterogeneous like a lot of different non-normalized features.
how long has yandexair been around? i didn't know there was a youtube counterpart before
HOWEVER, here are some examples of the coolest thing you can find for time series at the moment - transformers
https://timeseriestransformer.readthedocs.io/en/latest/notebooks/trainings/training_2020_04_27__093505.html
but it all looks like a lagged forecast, just like with LSTM. Like the current value of the series is the best predictor of the next one, like in SBThere is a request !!!
It is necessary to write a simple script for mt4 !
The essence is as follows
1) I click on a specific candlestick
2) The script writes in a notebook the date and time and closing price of this candle
That's it!
sort of, yes, but I haven't done it yet) as I have little faith in the success of this endeavor.
Networks work better on homogeneous data, such as images or signals. Trees are better on heterogeneous like a bunch of different non-normalized features.
how long has yandexair been around? i didn't know there was a youtube counterpart before
HOWEVER, here are some examples of the coolest thing you can get for time series - transformers
https://timeseriestransformer.readthedocs.io/en/latest/notebooks/trainings/training_2020_04_27__093505.html
This is another one about transformers.
I'm not sure how to translate it, but it's more or less understandable.
I have it in my favorites) like, threw before
GRU on random marks on small dataset
Epoch 20 train err: 0.3469601273536682 tst err: 0.40891700983047485
What could be the pros and cons of this random label sampling?
now i'll put the cuda pack for my videocard and use the videocard to do the math on the big data
the chips are just sequences of increments, 15 pieces per input. you can scale up
sort of, yes, but I haven't done it yet) as I have little faith in the success of this activity.
If I understand correctly from the video, there is a function / library, which is looking for signs in the convolutional network, ie, ready-made templates that should be found patterns / predictors - I wonder what is expected to find there, how this mask was made - what is the logic, do not know by any chance?
how long has yandexair existed? i didn't know there was a youtube analog before
For a long time, about two years, I think there is.
Z.Y. Here are some examples of the coolest thing available for time series at the moment - Transformers
https://timeseriestransformer.readthedocs.io/en/latest/notebooks/trainings/training_2020_04_27__093505.html
but it all looks like a lagged forecast, just like with LSTM. Like the current value of the series is the best predictor of the next one, like in SBI'm not sure if our input data is suitable for this network, it looks very cool in the pictures.