Is this possible in quantopian? Ranking stocks by given them a number and then combine different value rankings into a composite ranking? It looks a bit like the dollarvolume weighted universe, but how to give a number to a stock and how to re-normalization when different factors are combined. It is not the same as a Piotroski screen as this screens for some "hard" numbers, like ROA > 5% or something like that. That could eliminate stocks that score well on other value rankings and are still good candidates.
"Basically, rank computation is a straightforward task. For each factor (or formula), we sort companies
from best to worst (with the user choosing, in each case, whether higher or lower tallies are to be deemed
better) and then convert each to a percentile score, a scale of 100 for the best to zero for the worst. When
multiple factors are used, we combine them into an overall rank based on user-supplied weights.
There are, however, two important subtleties that must be understood to know how we calculate the exact