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
999997 Joshua (#1) 2.2 25 0.1 38 80.0 %
1000016 Sarah (#2) -30.1 7 -4.3 129 57.1 %
999998 Kimberly (#3) 1.4 24 0.0 40 75.0 %
1000003 Mary (#4) -5.2 17 -0.3 55 76.5 %
999988 Alyssa (#5) 13.4 32 0.4 35 84.4 %
1000000 Hannah (#6) -1.2 10 -0.1 113 70.0 %
1000016 Samantha (#7) -32.2 13 -2.5 74 53.9 %
999988 Austin (#8) 13.0 37 0.4 27 81.1 %
999990 Courtney (#9) 11.9 22 0.6 44 72.7 %
1000011 Patrick (#10) -18.0 12 -1.5 77 66.7 %
999996 Dylan (#11) 3.7 25 0.2 38 76.0 %
999995 Allison (#12) 4.7 44 0.1 23 81.8 %
999970 Cody (#13) 37.3 27 1.4 35 77.8 %
999984 Nicholas (#14) 20.2 31 0.7 31 74.2 %
1000008 Brandon (#15) -10.0 14 -0.7 83 85.7 %
999969 Joseph (#16) 34.6 39 0.9 25 84.6 %
999982 Kevin (#17) 23.0 33 0.7 29 75.8 %
999967 Aaron (#18) 47.1 155 0.3 7 68.4 %
1000009 Amanda (#19) -10.8 17 -0.7 68 88.2 %
999960 Ashley (#20) 47.9 41 1.2 23 80.5 %
999994 Mark (#21) 6.0 24 0.3 40 75.0 %
1000007 Christian (#22) -10.0 13 -0.8 91 84.6 %
1000000 Benjamin (#23) -1.5 25 -0.0 44 80.0 %
999960 Alexis (#24) 48.2 48 1.0 21 81.3 %
1000000 Olivia (#25) -1.3 16 -0.1 60 56.3 %
1000024 Morgan (#26) -36.3 13 -2.8 71 69.2 %
1000017 Emily (#27) -27.2 9 -3.0 123 66.7 %
1000005 Charles (#28) -8.4 24 -0.3 41 75.0 %
1000012 Laura (#29) -20.7 83 -0.3 12 60.2 %
1000018 Danielle (#30) -25.6 8 -3.3 149 75.0 %
1000010 Eric (#31) -17.1 6 -2.8 201 66.7 %
1000002 Erin (#32) -5.0 14 -0.4 66 64.3 %
1000006 James (#33) -9.9 7 -1.4 169 71.4 %
999997 Michelle (#34) 2.6 18 0.2 53 66.7 %
999968 Jose (#35) 38.6 37 1.1 26 78.4 %
999987 David (#36) 15.3 26 0.6 37 76.9 %
999973 Alexandra (#37) 34.4 58 0.6 17 75.9 %
999978 Christopher (#38) 26.6 32 0.8 30 78.1 %
1000030 Juan (#39) -41.8 11 -3.8 108 72.7 %
1000032 Kyle (#40) -40.9 10 -4.1 119 80.0 %
1000007 Chelsea (#41) -9.7 19 -0.5 58 79.0 %
1000016 Elizabeth (#42) -26.6 14 -1.9 69 64.3 %
1000003 Michael (#43) -4.7 25 -0.2 39 72.0 %
1000000 Cameron (#44) -1.5 28 -0.0 34 75.0 %
999995 Melissa (#45) 5.9 35 0.2 27 74.3 %
999964 Anthony (#46) 44.9 48 0.9 20 77.1 %
1000027 Nathan (#47) -38.9 7 -5.6 171 71.4 %
1000006 Jesse (#48) -12.4 236 -0.1 5 54.7 %
999989 Brianna (#49) 13.8 50 0.3 19 74.0 %
1000025 Matthew (#50) -45.1 7 -6.4 169 57.1 %
1000005 Maria (#51) -8.2 30 -0.3 32 73.3 %
999998 Jordan (#52) 2.4 50 0.0 19 70.0 %
999978 Brittany (#53) 26.5 36 0.8 27 77.8 %
999995 Kelsey (#54) 5.1 32 0.2 30 78.1 %
1000003 Kayla (#55) -4.6 47 -0.1 20 70.2 %
1000011 Nicole (#56) -20.4 23 -0.9 42 60.9 %
1000024 Daniel (#57) -37.7 15 -2.5 74 66.7 %
1000011 Lauren (#58) -18.2 58 -0.3 16 69.0 %
1000028 Rebecca (#59) -54.7 19 -2.9 50 52.6 %
1000021 Madison (#60) -34.4 38 -0.9 25 65.8 %
999994 Brian (#61) 6.6 58 0.1 16 74.1 %
1000001 Katherine (#62) -2.9 65 -0.1 14 73.9 %
1000006 John (#63) -10.8 102 -0.1 10 66.7 %
1000001 Anna (#64) -2.5 56 -0.1 17 73.2 %
999990 Kaitlyn (#65) 13.9 88 0.2 11 67.1 %
1000000 Christina (#66) -1.5 35 -0.0 28 71.4 %
1000003 Jonathan (#67) -6.5 73 -0.1 13 71.2 %
1000002 Megan (#68) -5.3 54 -0.1 18 61.1 %
1000018 Alexander (#69) -27.5 67 -0.4 14 68.7 %
1000028 Abigail (#70) -39.7 123 -0.3 8 73.2 %
1000030 Justin (#71) -53.7 135 -0.4 7 57.8 %
1000027 Jessica (#72) -45.2 137 -0.3 7 61.3 %
1000037 Adam (#73) -55.9 87 -0.6 11 67.8 %
1000035 Amber (#74) -52.2 95 -0.6 10 69.5 %
1000036 Andrew (#75) -53.3 74 -0.7 13 70.3 %
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