@vyacheslav_b Thank you so much

@antinomy Ty

@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!

@iron-tentacruel Sorry for the delay in the answer. We recommend conda as we can better track dependencies. With conda you can create locally an environment which mirrors the one on the Quantiacs server and you can work locally as you would on the server. If you need a specific version of a package, please let us know.

@black-magmar You are correct, but this kind of forward-looking is always present when you have all the data at your disposal. The important point is that there is no forward-looking in the live results, and that should not happen as the prediction will be done for a day for which data are not yet available.

@antinomy
Thanks for your advice !

@eddiee

Hello.

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

@newbiequant96 no problem.
I think the issue now is unrelated to the the previous issue. If you can show what is written above return code 1, I can maybe help.
It seems to be an issue in the code.
Regards

@gjhernandezp yes, correct, 2/(n+1), sorry for the typo, thanks for correcting

@support no worries, I've been able to recover the strategy thank you!

@illustrious-felice Hello. please look at this post
https://quantiacs.com/community/topic/515/what-is-forward-looking-and-why-it-s-effective-badly-to-strategy/6?_=1711712434795

@xiaolan Ok, but please note that you can work all the time with xarray, the documentation is very good:

http://xarray.pydata.org/en/stable/

@eddiee

This code works for me. I can give you ideas on what to try.

Update the qnt library or reinstall.

If it doesn't help, clone the repository

https://github.com/quantiacs/toolbox

git clone https://github.com/quantiacs/toolbox.git

run
qnt/examples/005-01-optimizer.py
and other examples.

You may need to specify API_KEY

You might be able to see exactly where the error occurs in the code.
And you can modify the library code by adding logging for optimize_strategy

@support Thanks for your respond. Now I understand the cause and fixed it

@support Hello. My strategy has the id #16934018 and was submitted in early May, but pnl OS has not been updated yet. Please check this issue. Thank you.

@illustrious-felice Hi, just insist and test other ideas, it is not easy but you will manage!

@algotime Hello, on 1st November allocations will start, you will receive a mail soon today!

@gjhernandezp Thank you for sharing your solution!

@yonasbo Hi, sorry for delay, we will start soon a new contest, in the next 2 weeks

@eddiee Dear eddiee, no, please, for the moment do not resubmit. The timed out submissions are stored as timed out submissions and we can reprocess them. In case you need resubmission, we will let you know.