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 "Mohawk Industries Inc (MHK)"

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

Find The Lastest Buy Signals for MHK Below.



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Algorithms Results since Jan/2010


  to  
Sort Factor Algorithm % Result # Trades % Result/Trade Days/Trade Hit % Detailed View
999959 Justin (#1) 59.2 139 0.4 7 68.4 %
999967 Megan (#2) 41.8 60 0.7 15 76.7 %
999958 Lauren (#3) 56.1 54 1.0 16 74.1 %
999983 Christina (#4) 21.0 41 0.5 19 75.6 %
999972 Anna (#5) 34.1 64 0.5 13 79.7 %
999972 Brianna (#6) 34.3 54 0.6 15 79.6 %
999988 Melissa (#7) 14.3 33 0.4 24 78.8 %
999970 Katherine (#8) 37.2 58 0.6 15 79.3 %
999976 Cameron (#9) 30.1 22 1.4 34 77.3 %
999979 Haley (#10) 27.8 10 2.8 77 70.0 %
999981 Brandon (#11) 22.8 17 1.4 58 76.5 %
1000004 Madison (#12) -7.5 34 -0.2 22 73.5 %
999986 Jordan (#13) 17.1 52 0.3 16 76.9 %
999990 Morgan (#14) 13.0 9 1.4 81 66.7 %
999985 Amanda (#15) 17.7 18 1.0 55 77.8 %
999992 Patrick (#16) 11.5 9 1.2 81 66.7 %
1000002 Jesse (#17) -5.4 225 -0.0 5 60.4 %
999990 Christian (#18) 11.1 14 0.8 70 85.7 %
999985 Michael (#19) 22.4 21 1.1 37 61.9 %
1000000 Brittany (#20) -1.0 33 -0.0 23 78.8 %
1000003 Kayla (#21) -4.6 44 -0.1 18 77.3 %
1000003 Aaron (#22) -5.7 149 -0.0 7 71.8 %
999983 Laura (#23) 22.6 83 0.3 11 68.7 %
999986 Jonathan (#24) 18.0 65 0.3 13 72.3 %
999976 Emily (#25) 29.5 10 2.9 80 80.0 %
1000000 Ashley (#26) -1.8 26 -0.1 28 69.2 %
999994 Juan (#27) 6.3 13 0.5 66 84.6 %
999992 Kaitlyn (#28) 10.2 82 0.1 11 70.7 %
1000007 Jose (#29) -10.9 34 -0.3 22 76.5 %
999995 Heather (#30) 5.1 7 0.7 143 71.4 %
999996 Cody (#31) 4.4 17 0.2 43 70.6 %
999997 Anthony (#32) 2.9 49 0.1 16 77.6 %
1000013 Nicholas (#33) -21.9 33 -0.7 26 63.6 %
999989 Kyle (#34) 11.6 10 1.2 85 80.0 %
999997 Danielle (#35) 1.8 11 0.2 90 81.8 %
999998 Alexandra (#36) 0.7 56 0.0 14 80.4 %
1000003 Brian (#37) -5.2 57 -0.1 15 75.4 %
999993 John (#38) 8.5 87 0.1 10 70.1 %
999997 Eric (#39) 3.1 7 0.4 141 71.4 %
999999 Charles (#40) -0.4 14 0.0 52 71.4 %
1000005 Alexander (#41) -7.9 66 -0.1 12 80.3 %
999998 David (#42) 1.6 18 0.1 39 61.1 %
999983 Jacob (#43) 21.0 8 2.6 96 75.0 %
999999 Kevin (#44) 0.1 20 0.0 38 75.0 %
1000002 Jessica (#45) -4.5 132 -0.0 7 67.4 %
1000013 Alexis (#46) -18.9 33 -0.6 22 75.8 %
1000000 Andrew (#47) -1.5 71 -0.0 12 74.7 %
999997 Alyssa (#48) 3.4 24 0.1 34 79.2 %
1000003 Sarah (#49) -5.7 6 -1.0 124 66.7 %
1000002 Amber (#50) -3.5 92 -0.0 9 73.9 %
1000007 Rachel (#51) -10.7 7 -1.6 133 71.4 %
1000000 Matthew (#52) -2.3 8 -0.3 108 62.5 %
999994 Joshua (#53) 6.3 17 0.4 44 82.4 %
1000008 Joseph (#54) -11.1 22 -0.5 34 77.3 %
1000016 Maria (#55) -26.7 24 -1.1 32 62.5 %
1000013 Courtney (#56) -20.8 12 -1.8 61 66.7 %
1000014 Kelsey (#57) -21.4 29 -0.7 27 72.4 %
1000005 Mark (#58) -9.6 13 -0.8 58 61.5 %
1000003 Kimberly (#59) -4.8 12 -0.4 62 75.0 %
1000011 Elizabeth (#60) -19.6 10 -2.0 75 60.0 %
1000011 Nathan (#61) -16.6 7 -2.4 122 71.4 %
1000010 Erin (#62) -17.6 10 -1.8 73 60.0 %
1000011 Austin (#63) -16.6 21 -0.8 36 71.4 %
1000000 Mary (#64) -1.4 10 -0.1 73 70.0 %
1000008 Allison (#65) -11.2 27 -0.4 28 77.8 %
1000011 Dylan (#66) -19.0 14 -1.4 52 64.3 %
1000011 Adam (#67) -16.4 85 -0.2 10 76.5 %
1000004 Benjamin (#68) -6.5 18 -0.3 45 77.8 %
1000008 Daniel (#69) -13.5 10 -1.3 79 70.0 %
1000018 Rebecca (#70) -32.6 17 -1.9 47 58.8 %
1000024 Christopher (#71) -38.2 20 -1.9 36 65.0 %
1000012 Samuel (#72) -19.7 6 -3.3 118 66.7 %
1000018 Hannah (#73) -26.7 7 -3.9 121 71.4 %
1000012 Chelsea (#74) -14.7 12 -1.3 66 83.3 %
1000013 Robert (#75) -24.1 7 -3.4 104 57.1 %
1000020 Michelle (#76) -38.2 11 -3.5 67 54.6 %
1000033 Nicole (#77) -57.5 17 -3.4 47 58.8 %
1000040 Abigail (#78) -58.6 100 -0.6 9 69.0 %
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