Topic: OOS in repository multitester?

Is there some means adjusting out of sample within the multitester?  I'd like to use the generator to populate a collection with a smaller oos percent and then increase it and run it in bulk against the larger sample set to see if a strategy holds up. 

I saw someone mentioning doing different datasources based off different sets of time ranges which might accomplish a similar goal but was curious if there was a means to do it via altering the oos so I didn't have to maintain separate datasets.

Re: OOS in repository multitester?

You experience OOS testing effect every time when you run the Multi Tester on newer data.