@antinomy thanks!

Hi @support,
Thanks for getting back. No worries, I was able to get 6 strategies into the Q16 competition so far.
qnt3.PNG

@theflyingdutchman Hi, sorry for the delay, yes, all fine, more details by e-mail

Hello.

I checked this problem. The script which cut "###DEBUG###" cells was incorrect. I fixed this and resent your strategies (filtered by time out) to checking.

Regards.

@vyacheslav_b Thank you so much

@wool-dewgong Hello! We added one template which should address your issue and allow you to perform a rolling fast ML training with retraining. It is available in your user space in the Examples section and you can read it here also in the public docs:

https://quantiacs.com/documentation/en/examples/machine_learning_with_a_voting_classifier.html

@vyacheslav_b Thank you so much

@alexeigor Hello. Version 0.0.501 of the qnt library works correctly in Colab. Python version support has been extended from 3.10 to 3.13. The basic functionality of the library should work without issues.

To install, use the following command:

Note: Installing ta-lib in Colab is not working for me at the moment.

@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.

@scalpingaf Correct, all trades (buy or sell) are taken at the open of the next day you take the decision.

@magenta-grimer Hello, you can have at most 50 running submissions in your user area. You can stop any of them any moment and replace it with another one.

Before the end of the Q17 submission phase, you should select at most 15 of them. These will take part to the live contest.

@sun-73 Yes, we will, sorry for the issue.

@support, thank you for the clarifications. Regards.

@penrose-moore Thank you for the idea. For the Bitcoin Futures contest we are indeed patching the Bitcoin Futures data with the BTC spot price to build a meaningful time series. For the other Futures contracts, for the moment we will keep the futures histories only, but add spot prices + patching with spot prices to increase the length of the time series to our to-do list.

@antinomy
Thanks for your advice !

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

@magenta-grimer Hi, we cannot provide the list of strategies we are still trading and the payouts. However, all the statistics are public, the new ones (since Q15) and the old ones at:
https://legacy.quantiacs.com/Systems.aspx

@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

@eddiee

Hello.

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

@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