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 "Dxc Technology Co (DXC)"

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

Find The Lastest Buy Signals for DXC Below.



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Algorithms Results since Jan/2010


  to  
Sort Factor Algorithm % Result # Trades % Result/Trade Days/Trade Hit % Detailed View
999989 Samantha (#1) 15.1 14 1.1 63 64.3 %
999938 Aaron (#2) 83.4 181 0.5 6 72.9 %
999973 Jesse (#3) 44.4 287 0.2 4 58.9 %
999997 Laura (#4) 3.4 104 0.0 11 64.4 %
1000020 Sarah (#5) -35.9 7 -5.1 110 57.1 %
999962 John (#6) 50.8 127 0.4 9 73.2 %
1000025 Samuel (#7) -45.9 7 -6.6 107 57.1 %
999977 Alexandra (#8) 29.0 70 0.4 14 77.1 %
999978 Cody (#9) 27.3 26 1.0 32 76.9 %
999986 Jordan (#10) 17.3 66 0.3 16 75.8 %
1000034 Joshua (#11) -51.0 16 -3.2 46 68.8 %
999969 Kaitlyn (#12) 41.8 109 0.4 10 70.6 %
1000025 Kimberly (#13) -43.7 15 -2.9 49 60.0 %
1000009 Dylan (#14) -13.0 24 -0.5 34 75.0 %
999986 Brianna (#15) 16.0 61 0.3 16 78.7 %
999997 Jose (#16) 2.9 44 0.1 22 79.6 %
999973 Anthony (#17) 31.5 56 0.6 17 80.4 %
999991 Joseph (#18) 10.2 36 0.3 24 83.3 %
1000023 Hannah (#19) -35.6 6 -6.0 147 66.7 %
1000019 Austin (#20) -25.3 33 -0.8 25 81.8 %
1000001 Kayla (#21) -1.9 59 -0.0 17 79.7 %
999996 Jessica (#22) 5.0 166 0.0 7 68.7 %
999993 Abigail (#23) 6.7 146 0.1 8 78.8 %
1000001 Kevin (#24) -2.1 32 -0.1 26 78.1 %
1000007 Nicholas (#25) -11.6 34 -0.4 29 67.7 %
1000030 Mary (#26) -45.5 13 -3.5 55 69.2 %
999986 Ashley (#27) 16.0 43 0.4 20 81.4 %
1000003 Kelsey (#28) -5.2 40 -0.1 24 82.5 %
1000007 Olivia (#29) -14.2 17 -0.8 49 58.8 %
1000027 Juan (#30) -30.7 10 -3.1 90 90.0 %
1000025 Allison (#31) -30.9 41 -0.8 20 82.9 %
999991 Alexis (#32) 10.4 49 0.2 18 83.7 %
999984 Christina (#33) 18.0 42 0.4 23 81.0 %
1000027 Kyle (#34) -31.6 9 -3.6 100 88.9 %
1000025 Emily (#35) -36.5 7 -5.1 125 71.4 %
999984 Brian (#36) 19.8 71 0.3 14 76.1 %
1000016 Courtney (#37) -26.4 18 -1.4 42 66.7 %
1000004 David (#38) -6.6 27 -0.3 32 77.8 %
1000021 Matthew (#39) -25.6 6 -4.3 148 83.3 %
1000004 Lauren (#40) -7.4 70 -0.1 15 68.6 %
999993 Christopher (#41) 6.9 34 0.2 27 82.4 %
1000011 Madison (#42) -15.9 44 -0.4 23 75.0 %
1000008 Cameron (#43) -10.8 29 -0.4 29 79.3 %
999993 Katherine (#44) 8.4 81 0.1 13 72.8 %
1000003 Justin (#45) -6.2 161 -0.0 7 61.5 %
1000031 Brandon (#46) -36.8 8 -4.6 109 87.5 %
1000031 Rebecca (#47) -51.5 21 -2.5 47 61.9 %
1000033 Alyssa (#48) -43.1 23 -1.9 38 78.3 %
999993 Anna (#49) 7.5 69 0.1 14 75.4 %
1000023 Charles (#50) -31.8 23 -1.4 34 73.9 %
1000019 Mark (#51) -27.6 22 -1.3 38 72.7 %
1000003 Melissa (#52) -6.4 39 -0.2 25 71.8 %
1000003 Amber (#53) -4.9 119 -0.0 9 74.0 %
1000032 Amanda (#54) -36.7 10 -3.7 87 90.0 %
1000023 Nathan (#55) -28.9 6 -4.8 150 83.3 %
999996 Brittany (#56) 3.9 39 0.1 24 79.5 %
1000036 Christian (#57) -42.8 7 -6.1 125 85.7 %
999994 Jonathan (#58) 7.1 91 0.1 12 70.3 %
1000006 Alexander (#59) -9.2 90 -0.1 11 76.7 %
999991 Megan (#60) 11.9 65 0.2 17 67.7 %
1000017 Maria (#61) -27.0 36 -0.8 26 66.7 %
1000020 Michelle (#62) -32.2 17 -1.9 49 64.7 %
1000016 Adam (#63) -22.6 110 -0.2 10 74.6 %
1000005 Andrew (#64) -7.8 96 -0.1 11 77.1 %
1000023 Erin (#65) -39.1 13 -3.0 58 61.5 %
1000031 Michael (#66) -44.6 27 -1.7 35 70.4 %
1000035 Benjamin (#67) -53.0 16 -3.3 55 68.8 %
1000031 Nicole (#68) -57.2 23 -2.5 42 56.5 %
1000040 Chelsea (#69) -58.7 13 -4.5 67 69.2 %
1000040 Daniel (#70) -74.6 11 -6.8 78 54.6 %
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