The pipeline definition first creates the factor named 'closerank' as shown below
closerank = USEquityPricing.close.latest.rank()
Since there are no qualifiers, filters, or masks provided, the rank
method will use the entire universe (~8000) of stocks. Since you want to apply the ranking only to the smaller Q500US, defined as 'universe', then use the mask
parameter. Something like this
closerank = USEquityPricing.close.latest.rank(mask=universe)
That will limit the ranking to just those stocks which meet the mask criteria. In this case only those stocks in the Q500US. Adding the screen=universe
parameter to the final pipeline definition only limits the stocks which the pipeline will output. This is after the rank factor has been calculated.
Good luck.
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