when i am working on new features, i sometimes come up with different variations of the signal I am working on. but testing them in bulk through entire datasets takes some time, so i just built this queue pool where i can be working on new features, while the others run in the background, and then i get a warning when they're done.

just a neat way of not getting stuck waiting for results. also i'll get alerts when its completed so if i have a large set i can just go off desk and chill out while I wait for the results.
this then follows a pipeline where if they have acceptable results based on metrics I've set it then follows into the backtest using standard portfolio parameters and then i either approve it to be shipped to prod or not.