Examining Nas100_Mom9_PHL252_SumRanks screen

I took a close look at this mentioned screen: Nas100_Mom9_PHL252_SumRanks.
First, removed the BCC timing to get the base statistics.
gtr1.net: GTR1 Backtester - Nas100_Mom9_PHL252_SumRanks

          Avg       Min       Max       SD
CAGR:     29.973089 27.146143 33.724144 1.828301  

Then experimenting with potential simplifications:
Experimentation showed that the "product(1,MomRank,1,PHLRank) bottom 50" can be replaced with "trm(1,189) > 1"
That lets us get rid of MomRank, which lets us get rid of Mom9m.

CAGR:     29.709515 27.094103 33.061382 1.715787  

Does that "AA > 0" do anything?
Backtest says no, so remove of that rule which lets us get rid of AA.

CAGR:     29.709515 27.094103 33.061382 1.715787  

Absolutely no change, so it didn't do anything. Cool.
gtr1.net: GTR1 Backtester - Nas100_Mom9_PHL252_SumRanks

Hmm, those returns are right up there with the PHL-52 screen. Interesting.

That last rule "ratio(GeoMom,PHLRank) top 5" is a bit puzzling. My long-ago physics professor told us "always look at the units in the math to get the real-world meaning of your numbers".
GeoMom is a combination of the returns for the last 1, 3, 6, and 12 months.
So this is the ratio of price momentum to the PHL ranking. That seems ... odd.

Happily, when you Run Screener it shows all the fields in the calculations.
Here's a snippet from the original screen, the top 10 picks.

Symbol    [PHLRank] [GeoMom]  GeoMom/PHLRank (field16)
WBD       1         26.97713  26.97713
MU        2         29.95168  14.97584
AVGO      3         11.9003    3.966767
GOOGL     4         11.86686   2.966716
GOOG      5         11.46521   2.293043
LRCX      7         12.87333   1.839047
IDXX      6         6.192769   1.032128
AMAT      8         6.401706   0.8002132
KLAC      9         6.157335   0.6841484
INTC      20        9.451485   0.4725742

The last ranking is by high GeoMom and low PHLRank.
For the #2 stock to move up to #1, it must have TWICE the GeoMom of the #1 stock.
For the #3 stock to move up to #1, it must have TRIPLE the GeoMom of the #1 stock.
This is highly, highly unlikely.
The net outcome of this screen is almost completely the PHLRank.

Which is why the statistics are almost identical to the PHL-52 screen.

Darn, I really want to find some kind of overlap screen.