@eddiee

Hello.

This code looks to the future.
It is needed to train the model.
Pay attention to the name of the variable.

@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.

@support
Thanks a lot !

@support
Thanks
I got it !

@antinomy

I got it !
Thanks a lot !!

@magenta-muskrat Yes, we would have said crypto and stocks otherwise.

@antinomy
Thanks for your advice !

@stefanm Thank you!

@vyacheslav_b thank you!

@pillocktailor Thank you for the interesting proposal.

@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

@sun-73 Dear @Sun-73, there is no ticker for cash. Allocations smaller than 100% will result in a part in cash.