Global Moderators

@sun-73 @RoyPalo, Hi,

Q23 Leaderboard was updated several days ago, all eligible submissions are there now, sorry for late notice. Please let us know if you find any submission that is missing.

@roypalo Hi,

can you please send the submission id?

Dear @sun-73,

All strategies that are sent before contest deadline will be processed and eligible for participating in the contest, even if they finish with processing later.

The limit of 15 strategies per contest remains the same, but that doesn't mean one user can't submit more than 50 strategies. He just has to pick which 15 of them to send to contest, and if he doesn't, then the 15 best sorted by Sharpe ratio will be considered as participating in the contest.

The strategies of other users, or their number, will not make your strategies exceed limits and filter them out. If you suspect that some strategy shouldn't be filtered out by time limit constraints, you are free to submit the same strategy again. Maybe it will work the next time, and if not, then there is probably some issue with the strategy itself.

Regards

Dear @gjhernandezp,

That strategy is filtered out because it exceeds limits (memory or time) that a strategy has. Your strategy is using machine learning, so that is risky section and could lead to something like this. The success status is irrelevant, it is probably some edge case. The only thing that matters is the status of the strategy which is filtered.

Best regards

Dear @antinomy,

There has been some lag in processing, thanks for pointing it out.

Regards

Dear @antinomy,

We didn't want to completely reprocess your strategy, but since it was filtered out before we had to manually return it to eligible candidates list.

Regarding your second question, we have updated our correlation service, and you could try submitting again and see if it will be filtered out.

Best regards

Dear @antinomy,

This issue has been resolved, and your strategy is now eligible to participate in the future contest. Thank you for bringing this up.

Best regards

@antinomy Hi,

sorry for late notice, we are checking what is the reason of such behavior, we will let you know soon.

Best regards,

@sun-73 Hi,

sorry for late answer, this has been fixed, please use the latest qnt library version. Thanks, that's correct, there is a typo in check() function, it will be changed in next update - cut_big_positions() is function from qnt.exposure module.

Best regards

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