Javascript simulation with graphs

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I wanted to be able to do something like the ranked Nifty 50 for other counts such as UBZ2, but the intensive with-and-without SCORE measurements in the Hi-Lo book are beyond me; so I generated risk-averse Hi-Lo indices using graphs of CE instead of EV, which is relatively simple. Index R2 correlation is 0.973; rank corrrelation is 0.840. The top nine are the same, with a few rearrangements. All but two of the top 20 are the same. 10 vs. T is in almost the same position.

The Nifty 50, 4.5/6 H17 DAS Play-All 1-12

hand index CE gain cumulative
16vT 1 0.08069 28.2%
12v3 1 0.03155 39.3%
T,Tv6 5 0.02745 48.9%
T,Tv5 6 0.01735 54.9%
15vT 4 0.0168 60.8%
12v2 3 0.01182 64.9%
9v2 2 0.00844 67.9%
16vA 4 0.00821 70.8%
10vA 3 0.00751 73.4%
11vA 0 0.0074 76.0%
12v4 0 0.00711 78.5%
A,8v5 2 0.00668 80.8%
T,Tv4 7 0.00468 82.4%
8v6 3 0.00418 83.9%
13v2 -1 0.00389 85.3%
9v3 0 0.00362 86.5%
9v7 4 0.00329 87.7%
12v5 -2 0.00313 88.8%
15vA 6 0.00313 89.9%
10vT 5 0.00245 90.7%
10v9 -1 0.00215 91.5%
A,8v4 4 0.00205 92.2%
A,2v5 1 0.00185 92.8%
A,9v6 5 0.00173 93.4%
13v3 -3 0.0017 94.0%
A,8v6 0 0.00159 94.6%
8v5 4 0.00156 95.1%
9,9vA 3 0.00156 95.7%
16v9 5 0.00134 96.2%
9v4 -2 0.0013 96.6%
A,3v4 3 0.00123 97.0%
A,7v2 1 0.00118 97.5%
A,9v5 5 0.00108 97.8%
12v6 -3 0.00081 98.1%
11vT -4 0.00077 98.4%
A,2v4 4 0.00072 98.6%
13v4 -4 0.00069 98.9%
14v2 -4 0.0005 99.1%
T,Tv3 9 0.00048 99.2%
A,8v3 6 0.00046 99.4%
4,4v4 4 0.00037 99.5%
A,9v4 7 0.0003 99.6%
13v5 -5 0.00026 99.7%
16v8 8 0.00021 99.8%
8v4 7 0.00017 99.8%
15v9 8 0.00015 99.9%
14v3 -5 0.00015 100.0%
17vA -5 0.00013 100.0%
16v7 10 1E-05 100.0%