A few of the randomness-inspired algorithms of discussion lately (https://www.quantopian.com/posts/getting-sid-programmatically or https://www.quantopian.com/posts/further-experiments-with-randomness) would benefit from mulitple-runs type capability. By this I mean the user would be able to select some # of backtest-runs to execute, instead of just one, and the resulting data and metrics be available as a data frame.
Running a non-deterministic algorithm once only really gives you a snapshot, what you really want to do is run it thousands of times and be able to measure the variance of variables between runs.