u/Admitted_Lee

I'm looking for a cohort of folks who have outputs from their algo trading systems that would be interested in contributing to a crowd-sourced, data-driven durable recommendation system. The idea here would be to ingest, package, and publish recommendations from myriad systems to establish baselines to operate again. Long-term we'd unlock data analysis of output recommendations, annotate sources for strengths and weaknesses based on back-testing* and maybe build something great. Happy to spin up the infra for receiving and publishing, if there's enough interest.

I'm still fairly green, but through stubborness all things are possible. Comment or DM if this is interesting. If there are other community efforts, I'd love to know about them.