For me, this figure is more of a "fuzzy" metric. I just want to know roughly what to expect once a bot goes live. It is hard to take a step back and understand that it may take weeks for your bot to show breakeven when you're looking at the backtests and only seeing the 5-year outcome. Zorro has a psychological effect of compressing time like this.
One thing I'm unable to calculate in this metric, which might be easy for Zorro to do... is the fuzzy metric average based on oversampling cycles. For example, I am only able to calculate based on the testtrades.csv output, which is one cycle (I think). But if that metric could be calculated as an average from all the cycles' trades, that would be even more useful.