@violet-mewtwo Thanks, you are right and we will work in that direction. Best regards

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

@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.

@magenta-grimer Yes, we are going to add it soon, important!

@support It's working now, thanks!

@support
ok I did what @antinomy said below and the 'state' strategy worked.
https://quantiacs.com/community/topic/46/macroeconomic-data-with-quantiacs/3?_=1619554449031

However, it broke my old strategies. So he further suggested to:
https://quantiacs.com/community/topic/46/macroeconomic-data-with-quantiacs/5?_=1619556376479
And my old strategies are running again.

Ok, so looks like for now for all strategies without a state I have to output and pass None to weights for the state & pass a state variable to the strategy.
Will keep you updated. Thanks for looking into the issue.

@support yes, stocktwits or something like it would be the best! With Tiingo I couldn't develop competitive strategies, but stocktwits or even twitter sentiment are really promising, even for daily resolution strategies !

@vyacheslav_b Hello, the template is ready in the Examples page. It uses Ridge regression, trades the BTC Futures and scikit-learn. The structure of the template should allow for simple extensions to more features/models in the context of supervised learning. You can read more at: https://medium.com/swlh/predicting-markets-on-quantiacs-using-machine-learning-a-ridge-regression-example-f64d9e782dc9

@vyacheslav_b OK, will make one soon please stay tuned.