@omohyoid Hi, we do not have such calls, sorry

@support Thank you!

@dark-pidgeot Hi! After the release of version qnt “0.0.402” the issue with data loading in the local environment has been resolved. The library now uses newer dependencies, including pandas version 2.2.2.

@plastic-panda

not sure what happened but I am now able to open my strategies.

@omohyoid Dear omohyoid,

Yes, that's right. After submitting your strategy shouldn't override environment variables.

Regards

@commanderangle Dear commanderangle,

You can now find your strategies in the "In contest" tab since the contest has begun.

Regards

@support I got it
Thanks for ur reply

@omohyoid Dear omohyoid,

You can send correlated strategies to the same contest but you cannot send a strategy that is highly correlated with the templates, your strategies from the past contests or prize winning strategies from previous contests.

Regards

@support Thx for ur reply
I'll try it

@support Thank you very much once again!

Thanks for the answer!

I still think something is wrong with this correlation checker. I even used this function to randomize the weights a few times, and I got the same correlation error:

def add_random_noise(weights, noise_level=0.01): noise = np.random.uniform(-noise_level, noise_level, size=weights.shape) return weights + noise

I am pretty sure it's impossible to have 90% correlation in this case.

@omohyoid Dear omohyoid,

You don't need to specify the output path nor any other environment variable when submitting your code. If you're using local development option to create a strategy, you should remove setting environment variables manually since those are created automatically after you submit your strategy so no need to worry about that and it is actually advisable to do it that way.

Regards

@support Thanks for ur help

Hi @support,
no problem.
I didnt check until now, the accepted strategies do not use machine learning 🙂
I will try out some machine learning strategies in the upcoming days and let you know.
Thanks again and Regards

@buyers_are_back Hello.
Here is a new example of stock prediction using index data.
I recommend using the single-pass version.
https://quantiacs.com/documentation/en/data/indexes.html

@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.

@blackpearl Hi, sorry for the missed answer, did you solve the issue? We can see that you managed to successfully submit code to the Q21 contest!