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optimize long and optimize short aspiring to meet contest constraints

Hi Qsters,
Please chip in your smarts if possible. I have two pipelines feeding two separate optimize api instances. Check it out! I believe (from an engineering POV) I'm approaching the model building process differently than from what I've seen within the rich Q community. No dis, as I'm truly appreciative of the community as well as the organization's modeling guidelines/recommendations... but instead of going long/short on quantiles over a factor, I wanted to isolate a long factor, and a short factor, and optimize on each one separately, within a single algorithm. This has been challenging for me. Now I'm scratching my head on how one would satisfy constraints given that I'm feeding different pipelines to different optimizers.

If you choose to reply, please focus on any Leverage Constraint suggestions you may have, for now. I'm hoping to deconstruct this, one constraint at a time. While I believe the long pipe (R&D timing) and short pipe(deceptive accounting) likely have persistent alpha - to be clear, I'm more interested in the engineering of a model using multiple Optimize Api instances, than improving on particular factor's in this given example.

Blue Seahawk helped me with meeting Tradable Universe Constraint:
https://www.quantopian.com/posts/run-multiple-order-optimal-portfolios

This post is also related to this post:
https://www.quantopian.com/posts/generic-delta-calc

Thanks!