We didn't experience the expected performance improvements. Locally under
unit test there was aboout an order of magnitude throughput increase, but
when run against the history benchmark, this new approach was 60% slower.
We're reverting this for now to perform further analysis and better
understand the performance profiling of the python history stack.
This algorithm had a couple of issues:
- it was using a coarse universe with no data files available, so it has been changed to use a custom universe
- it was using algorithm time instead of selection time in the selector function
The regression stats have also been updated to match the new algorithm code.
Michael Handschuh