@cyan-gloom Hi, we are busy with checking the submissions which are coming, as we are close to the end of the Q20 contest, sorry if we were not responsive so fast. We will inform as soon as we are ready.

@buyers_are_back We reprocessed the submission, it is formally correct and passes all the filters. Sorry for the issue, evidently on our side.

@support Thanks!

@captain-nidoran Fixed, sorry for issue

@magenta-kabuto thx a lot bro for your support and pointing out the mistakes👍 🙂
I will try the revised code now.
Good luck for the competition 👍

@support
Thanks !

@EDDIEE
Hello, sorry for late answer, for now it is best to use indicators shown in the table at https://quantiacs.com/documentation/en/data/fundamental.html. Recent qnt library version has obsolete methods for getting the list of all available fundamentals, it will be fixed in next qnt update.

@cyan-gloom
Hi, sorry for late answer. This number shows the total number of instruments that weights have been allocated to, at any point of entire time period. In your case, it means that 87 different instruments have been ranked in top5 or bottom5 by Sharpe Ratio.

@steel-camel Sorry for the issue, it has been fixed.

@antinomy

I got it !
Thanks a lot !!

@antinomy
Thanks for your advice !

@vyacheslav_b thank you!

@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.

@vg2001 Hello, the Q19 is a replica of the Q18, you ccan use the same examples.

@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