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
999939 Samantha (#1) 86.1 13 6.6 66 69.2 %
999961 Aaron (#2) 51.9 183 0.3 6 73.2 %
999977 Laura (#3) 32.0 112 0.3 10 67.9 %
999977 Jesse (#4) 36.0 277 0.1 5 62.5 %
999994 Sarah (#5) 7.1 9 0.8 82 77.8 %
999965 John (#6) 45.0 131 0.3 8 76.3 %
999993 Joshua (#7) 8.2 23 0.4 29 78.3 %
999990 Samuel (#8) 10.9 9 1.2 79 77.8 %
999991 Richard (#9) 12.8 14 0.9 59 64.3 %
999994 Kimberly (#10) 6.7 18 0.4 36 72.2 %
999990 Dylan (#11) 10.6 24 0.5 31 79.2 %
999977 Jordan (#12) 26.6 75 0.4 13 80.0 %
1000000 Robert (#13) -1.4 9 -0.1 73 77.8 %
999989 Cody (#14) 12.1 27 0.4 28 81.5 %
1000001 Rebecca (#15) -2.8 21 -0.1 47 71.4 %
999996 Austin (#16) 4.4 36 0.1 20 83.3 %
999981 Brianna (#17) 23.2 66 0.4 15 80.3 %
999996 Mary (#18) 3.7 15 0.3 43 86.7 %
999990 Allison (#19) 11.0 44 0.3 17 84.1 %
999990 Nicholas (#20) 14.0 38 0.4 26 63.2 %
999988 Alexandra (#21) 14.2 66 0.2 14 78.8 %
999997 Jose (#22) 1.6 45 0.0 20 77.8 %
999991 Alyssa (#23) 9.4 31 0.3 23 83.9 %
999978 Kaitlyn (#24) 28.7 116 0.3 10 70.7 %
999991 Kelsey (#25) 9.4 43 0.2 21 83.7 %
999992 Olivia (#26) 10.7 16 0.7 50 62.5 %
999989 Cameron (#27) 11.7 34 0.4 23 82.4 %
999989 Madison (#28) 12.9 50 0.3 19 78.0 %
999996 David (#29) 4.2 30 0.1 28 83.3 %
1000004 Courtney (#30) -6.0 21 -0.3 32 76.2 %
1000007 Mark (#31) -9.6 21 -0.5 37 76.2 %
1000006 Kevin (#32) -7.7 30 -0.3 26 83.3 %
999990 Christopher (#33) 10.8 36 0.3 24 83.3 %
999994 Maria (#34) 7.2 40 0.2 23 70.0 %
1000012 Patrick (#35) -15.8 10 -1.6 63 80.0 %
1000006 Emily (#36) -9.1 10 -0.9 68 80.0 %
1000013 Jacob (#37) -19.4 7 -2.7 90 71.4 %
1000008 Charles (#38) -11.3 24 -0.5 29 79.2 %
1000012 Morgan (#39) -15.8 10 -1.6 63 80.0 %
999991 Anthony (#40) 9.9 54 0.2 17 83.3 %
999993 Amber (#41) 8.3 125 0.1 9 74.4 %
999998 Ashley (#42) 1.1 46 0.0 18 82.6 %
999985 Brian (#43) 18.1 78 0.2 13 79.5 %
999992 Anna (#44) 8.9 77 0.1 13 77.9 %
1000007 Joseph (#45) -10.1 30 -0.3 26 80.0 %
999988 Christina (#46) 12.4 45 0.3 21 88.9 %
1000002 Jessica (#47) -4.1 162 -0.0 7 68.5 %
1000004 Justin (#48) -8.1 161 -0.1 7 64.0 %
999991 Abigail (#49) 9.5 147 0.1 8 77.6 %
1000003 Alexis (#50) -5.2 51 -0.1 16 84.3 %
1000014 Haley (#51) -22.6 9 -2.6 71 66.7 %
999997 Brittany (#52) 3.2 40 0.1 22 77.5 %
999998 Melissa (#53) 1.1 41 0.0 24 68.3 %
999996 Katherine (#54) 4.3 81 0.1 13 74.1 %
1000007 Michelle (#55) -10.9 18 -0.6 44 72.2 %
999987 Andrew (#56) 15.1 103 0.2 10 78.6 %
1000005 Benjamin (#57) -6.8 24 -0.3 29 79.2 %
999998 Adam (#58) 0.5 119 0.0 9 75.6 %
999998 Jonathan (#59) 1.8 91 0.0 12 74.7 %
1000000 Alexander (#60) -0.6 97 -0.0 10 78.4 %
1000012 Michael (#61) -17.5 28 -0.6 33 75.0 %
1000016 Nicole (#62) -26.8 22 -1.2 43 63.6 %
1000015 Juan (#63) -17.0 17 -1.0 55 94.1 %
1000005 Chelsea (#64) -6.6 18 -0.4 38 88.9 %
1000012 Erin (#65) -20.5 14 -1.4 50 64.3 %
1000016 Elizabeth (#66) -23.7 14 -1.7 47 71.4 %
1000014 Daniel (#67) -19.6 13 -1.5 52 76.9 %
1000025 Brandon (#68) -29.0 11 -2.6 81 90.9 %
1000029 Kyle (#69) -33.3 11 -3.0 84 90.9 %
1000029 Amanda (#70) -33.5 12 -2.8 75 91.7 %
1000029 Matthew (#71) -33.8 8 -4.3 115 87.5 %
1000032 Christian (#72) -36.6 9 -4.1 100 88.9 %
1000032 Danielle (#73) -38.5 6 -6.5 148 83.3 %
1000026 Lauren (#74) -36.7 74 -0.5 15 71.6 %
1000031 Kayla (#75) -41.7 66 -0.6 16 77.3 %
1000030 Nathan (#76) -35.1 8 -4.4 116 87.5 %
1000026 Rachel (#77) -35.8 8 -4.5 116 75.0 %
1000038 James (#78) -47.0 6 -7.8 155 83.3 %
1000041 Megan (#79) -66.0 70 -0.9 16 64.3 %
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