Remember: The returns an asset made in the past don't mean that future returns will be the same.
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  • The Interpreter

    Hi Friend, The Interpreter here. Here are all the backtests I have performed within "Paychex Inc (PAYX)"

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    Please select the "Detailed View" button to see how it performs!

Find The Lastest Buy Signals for PAYX Below.



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Algorithms Results since Jan/2010


  to  
Sort Factor Algorithm % Result # Trades % Result/Trade Days/Trade Hit % Detailed View
999934 Ryan (#1) 64.9 8 8.1 52 100.0 %
999934 Heather (#2) 64.6 9 7.2 37 100.0 %
999935 Sara (#3) 63.5 6 10.7 71 100.0 %
999940 Eric (#4) 59.4 9 6.6 40 100.0 %
999941 Jason (#5) 57.9 6 9.7 82 100.0 %
999942 Samuel (#6) 56.8 6 9.5 106 100.0 %
999954 Sarah (#7) 53.2 7 7.6 96 85.7 %
999948 Matthew (#8) 50.6 12 4.3 33 100.0 %
999949 James (#9) 50.0 7 7.1 76 100.0 %
999949 Rachel (#10) 49.6 8 6.3 52 100.0 %
999958 Olivia (#11) 48.8 13 3.8 52 84.6 %
999957 Kyle (#12) 45.4 16 2.8 25 93.8 %
999957 Nathan (#13) 46.6 10 4.7 41 90.0 %
999953 Danielle (#14) 46.3 10 4.6 36 100.0 %
999955 Daniel (#15) 43.5 14 3.1 41 100.0 %
999952 Jasmine (#16) 47.0 6 7.8 42 100.0 %
999955 Erin (#17) 43.9 12 3.7 54 100.0 %
999959 Emily (#18) 39.7 11 3.6 52 100.0 %
999958 Hannah (#19) 41.5 8 5.1 68 100.0 %
999963 Elizabeth (#20) 39.1 15 2.6 42 93.3 %
999960 Juan (#21) 38.8 17 2.3 24 100.0 %
999961 Brandon (#22) 38.3 15 2.5 24 100.0 %
999960 Haley (#23) 38.7 9 4.3 68 100.0 %
999963 Amanda (#24) 35.6 18 2.0 20 100.0 %
999964 Christian (#25) 35.1 12 2.9 29 100.0 %
999971 Richard (#26) 34.0 11 3.1 67 81.8 %
999964 Jacob (#27) 35.2 7 5.0 85 100.0 %
999969 Benjamin (#28) 31.7 19 1.7 30 94.7 %
999973 Chelsea (#29) 29.9 15 2.0 37 86.7 %
999967 Robert (#30) 31.9 6 5.3 103 100.0 %
999970 Courtney (#31) 34.0 15 2.3 41 86.7 %
999967 Patrick (#32) 31.8 8 4.0 76 100.0 %
999975 Michelle (#33) 33.5 14 2.4 48 71.4 %
999970 Samantha (#34) 32.4 10 3.2 71 90.0 %
999978 Rebecca (#35) 28.5 15 1.9 45 73.3 %
999975 Charles (#36) 29.8 20 1.5 31 80.0 %
999977 Alyssa (#37) 27.4 23 1.2 25 82.6 %
999972 Morgan (#38) 26.9 8 3.4 76 100.0 %
999976 Dylan (#39) 26.9 15 1.8 42 86.7 %
999981 Nicholas (#40) 27.5 28 1.0 24 64.3 %
999978 Joshua (#41) 25.0 14 1.8 43 85.7 %
999977 Kimberly (#42) 25.9 12 2.2 50 83.3 %
999981 Nicole (#43) 25.3 15 1.7 44 73.3 %
999983 Mary (#44) 18.5 9 2.0 67 88.9 %
999988 Mark (#45) 18.1 15 1.2 44 60.0 %
999987 Austin (#46) 18.5 25 0.7 24 64.0 %
999988 Megan (#47) 18.1 38 0.5 17 60.5 %
999988 Allison (#48) 15.7 28 0.6 21 71.4 %
999989 Ashley (#49) 16.3 27 0.6 23 63.0 %
999988 Jose (#50) 15.3 32 0.5 21 71.9 %
999985 Kaitlyn (#51) 20.6 66 0.3 10 68.2 %
999988 Maria (#52) 16.1 19 0.8 36 68.4 %
999989 Cody (#53) 17.5 18 1.0 35 55.6 %
999986 Alexander (#54) 17.7 55 0.3 12 74.6 %
999987 Christopher (#55) 16.9 25 0.7 26 68.0 %
999989 Melissa (#56) 15.5 25 0.6 27 68.0 %
999989 Alexis (#57) 14.6 33 0.5 19 63.6 %
999986 Jonathan (#58) 17.1 56 0.3 12 76.8 %
999991 Brittany (#59) 12.5 28 0.4 23 67.9 %
999990 Michael (#60) 13.8 16 0.9 42 62.5 %
999990 Lauren (#61) 16.9 43 0.4 16 51.2 %
999990 Kevin (#62) 13.3 15 0.9 43 66.7 %
999989 Brian (#63) 14.0 47 0.3 14 74.5 %
999990 Kelsey (#64) 13.0 24 0.5 27 66.7 %
999991 Anna (#65) 11.0 48 0.2 14 72.9 %
999991 Jordan (#66) 12.5 45 0.3 15 64.4 %
999990 Madison (#67) 14.3 30 0.5 22 66.7 %
999994 Christina (#68) 7.3 27 0.3 24 66.7 %
999992 John (#69) 10.4 74 0.1 9 66.2 %
999994 Alexandra (#70) 7.0 44 0.2 15 70.5 %
999992 Andrew (#71) 9.1 59 0.2 12 74.6 %
999994 Brianna (#72) 7.4 37 0.2 18 70.3 %
999995 David (#73) 6.6 15 0.5 42 53.3 %
999996 Anthony (#74) 4.1 33 0.1 20 63.6 %
999994 Katherine (#75) 8.1 48 0.2 14 66.7 %
999997 Jesse (#76) 3.6 180 0.0 5 61.1 %
999996 Justin (#77) 4.5 106 0.1 7 66.0 %
999996 Laura (#78) 4.9 67 0.1 10 55.2 %
999996 Adam (#79) 4.0 67 0.1 10 73.1 %
999996 Aaron (#80) 3.9 121 0.0 6 68.6 %
1000000 Amber (#81) -0.6 67 -0.0 10 70.2 %
1000000 Kayla (#82) -1.2 37 -0.0 18 62.2 %
1000000 Jessica (#83) -2.3 106 -0.0 7 66.0 %
1000006 Abigail (#84) -12.2 80 -0.2 9 62.5 %
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