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 "Global Payments Inc (GPN)"

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

Find The Lastest Buy Signals for GPN Below.



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Algorithms Results since Jan/2010


  to  
Sort Factor Algorithm % Result # Trades % Result/Trade Days/Trade Hit % Detailed View
999975 John (#1) 31.3 43 0.7 9 76.7 %
999975 Kaitlyn (#2) 32.3 43 0.7 9 74.4 %
999971 Kimberly (#3) 31.4 11 2.8 34 90.9 %
999971 Nathan (#4) 33.9 6 5.7 96 83.3 %
999975 Daniel (#5) 28.4 7 4.0 53 85.7 %
999976 Morgan (#6) 27.7 6 4.7 62 83.3 %
999978 Mary (#7) 25.5 6 4.2 60 83.3 %
999975 Kyle (#8) 25.8 11 2.4 52 90.9 %
999979 Patrick (#9) 24.1 6 4.0 61 83.3 %
999978 Amanda (#10) 22.7 14 1.6 39 92.9 %
999978 Matthew (#11) 23.6 7 3.4 81 85.7 %
999982 Emily (#12) 21.6 8 2.8 46 75.0 %
999988 Laura (#13) 20.1 40 0.5 10 57.5 %
999985 Aaron (#14) 20.2 63 0.3 7 68.3 %
999987 Justin (#15) 18.4 56 0.3 8 66.1 %
999984 Katherine (#16) 20.8 26 0.8 15 69.2 %
999983 Juan (#17) 19.0 11 1.7 52 81.8 %
999988 Elizabeth (#18) 15.8 7 2.3 53 71.4 %
999988 Erin (#19) 15.5 7 2.1 53 71.4 %
999992 Jessica (#20) 12.3 59 0.2 7 59.3 %
999986 Brandon (#21) 13.7 11 1.3 49 90.9 %
999985 Christian (#22) 15.7 9 1.8 60 88.9 %
999992 Kevin (#23) 10.8 11 1.0 37 63.6 %
999988 Amber (#24) 16.4 41 0.4 10 70.7 %
999991 Joshua (#25) 11.2 12 0.9 31 75.0 %
999992 Haley (#26) 10.0 7 1.4 52 71.4 %
999998 Melissa (#27) 2.0 14 0.1 27 71.4 %
999993 Chelsea (#28) 7.6 7 1.1 53 71.4 %
999993 Benjamin (#29) 7.3 11 0.6 35 81.8 %
999998 Joseph (#30) 1.4 15 0.1 27 80.0 %
999996 Olivia (#31) 5.1 6 0.8 67 66.7 %
999991 Adam (#32) 11.2 41 0.3 9 73.2 %
999993 Brian (#33) 9.3 25 0.4 15 68.0 %
999999 David (#34) -0.1 8 0.0 48 62.5 %
999996 Alyssa (#35) 2.7 13 0.2 30 84.6 %
999998 Christina (#36) 1.8 15 0.1 25 60.0 %
999995 Jonathan (#37) 5.3 28 0.2 14 71.4 %
1000001 Cameron (#38) -2.5 9 -0.3 43 66.7 %
999996 Abigail (#39) 5.2 45 0.1 9 64.4 %
999996 Alexander (#40) 4.3 30 0.1 13 73.3 %
1000001 Rebecca (#41) -3.1 7 -0.4 56 57.1 %
999998 Anna (#42) 1.1 26 0.0 15 65.4 %
1000000 Brianna (#43) -2.4 20 -0.1 19 65.0 %
1000000 Charles (#44) -0.8 8 -0.1 49 75.0 %
999998 Andrew (#45) 2.2 33 0.1 12 69.7 %
1000000 Courtney (#46) -0.9 7 -0.1 55 71.4 %
999998 Jesse (#47) 0.8 92 0.0 5 56.5 %
1000000 Dylan (#48) -1.5 7 -0.3 56 71.4 %
1000002 Austin (#49) -3.9 9 -0.4 44 77.8 %
1000002 Mark (#50) -4.4 9 -0.4 46 77.8 %
1000004 Brittany (#51) -8.8 14 -0.6 27 57.1 %
1000005 Christopher (#52) -9.2 9 -1.0 43 66.7 %
1000005 Madison (#53) -11.2 14 -0.8 26 57.1 %
1000005 Michelle (#54) -8.4 9 -0.9 45 77.8 %
1000008 Alexis (#55) -11.4 14 -0.8 28 78.6 %
1000007 Maria (#56) -12.7 11 -1.2 35 63.6 %
1000007 Michael (#57) -12.1 9 -1.3 43 66.7 %
1000007 Lauren (#58) -12.6 21 -0.6 18 61.9 %
1000009 Nicholas (#59) -15.1 12 -1.3 31 66.7 %
1000008 Kelsey (#60) -14.4 13 -1.1 29 61.5 %
1000007 Cody (#61) -11.3 7 -1.6 56 71.4 %
1000008 Anthony (#62) -15.4 18 -0.8 21 61.1 %
1000010 Kayla (#63) -19.4 20 -1.0 18 60.0 %
1000011 Jordan (#64) -19.5 22 -0.9 17 59.1 %
1000010 Alexandra (#65) -15.5 25 -0.6 15 68.0 %
1000014 Ashley (#66) -21.2 11 -1.9 36 72.7 %
1000016 Jose (#67) -25.0 16 -1.6 24 68.8 %
1000019 Allison (#68) -25.6 9 -2.9 44 77.8 %
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