This repository was archived by the owner on May 4, 2025. It is now read-only.

Description
The docs mention: "(a somewhat brute-force method of) parameter optimisation"
I would like to know how is the parameter optimisation performed. does it use some library like scikit learn (as backtesting.py does) or some well known concept like walk forward optimization (like Ta4J) or is it just brute force and explores everything?