@support It's working now, thanks!

@support Great! This route opens new possibilities in terms of model design. Thanks a lot!

@sun-73 it should be ok

@support Ohh, I understand. Thank you for your support.

Hi @stefanm ,

How reckless of me, "data" should have been f_es_data. They are perfectly synced now.
Thank you so much. I really appreciate the help.

sincerely

@alphastar Sorry for the issue, it has been fixed.

@commanderangle Dear commanderangle,

If you use ML in your strategy but not select that option we can't guarantee for how your strategy will be evaluated and it could be filtered out.

Regards

@multi_byte-wildebeest Hi. Without an example, it's unclear what the problem might be.

If you use a state and a function that returns the prediction for one day, you will not get correct results with precheck.

This was discussed here: https://quantiacs.com/community/topic/555/access-previous-weights/18

@captain-nidoran Hello, please try to add in a cell at the beginning:

pip install 'sklearn==0.0.post1'

or in the init file:

! apt update && apt install -y libgomp1 && rm -rf /var/lib/apt/lists/*

Best regards

@magenta-kabuto We support only Python 3.7 right now. But it can coexist with Python 3.9:

https://quantiacs.com/documentation/en/user_guide/local_development.html

Basically you can use Python 3.7 inside a conda environment.

@antinomy

I got it !
Thanks a lot !!

@support, thank you for the clarifications. Regards.

@support Yes, I can load now the stocks data. Thank you once again!

@antinomy thanks!

@vyacheslav_b Thank you so much

@vyacheslav_b perfect. It wasnt obvious to me that single pass was meant by that. Thank you

@support I have done that twice before my post, but now F_RY looks fine. There are several directories with scripts and notebooks I use with qnt, so maybe I deleted the wrong data-cache before...
Thanks for fixing the data!

@vyacheslav_b Thank you so much

@support
oh I see now what you mean.
15 strategies PER USER are selected.
At first, I thought you were only going to select 15 strategies total for all users.
Thanks.

@vyacheslav_b Thank you so much