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
999964 Justin (#1) 51.5 142 0.4 7 69.0 %
999983 Christina (#2) 20.9 41 0.5 19 75.6 %
999988 Melissa (#3) 13.2 34 0.4 24 82.4 %
999991 Madison (#4) 10.2 37 0.3 21 75.7 %
999989 Kayla (#5) 13.0 47 0.3 17 78.7 %
999986 Brianna (#6) 15.9 52 0.3 16 78.9 %
999987 Anna (#7) 15.2 66 0.2 13 80.3 %
999994 Nicholas (#8) 7.2 34 0.2 24 64.7 %
999982 Aaron (#9) 22.8 157 0.2 6 74.5 %
999988 Brittany (#10) 13.8 38 0.4 20 81.6 %
999990 Megan (#11) 12.5 60 0.2 15 75.0 %
999989 Jordan (#12) 12.8 56 0.2 15 80.4 %
999988 Cameron (#13) 13.1 27 0.5 28 81.5 %
999992 Alexis (#14) 9.2 39 0.2 20 79.5 %
999979 Brandon (#15) 22.7 15 1.5 49 86.7 %
999994 Kaitlyn (#16) 7.5 85 0.1 11 71.8 %
999997 Jose (#17) 3.4 41 0.1 19 80.5 %
999981 Amanda (#18) 21.3 16 1.3 46 87.5 %
999990 Haley (#19) 13.5 9 1.4 83 66.7 %
999994 Ashley (#20) 7.0 29 0.2 26 75.9 %
999994 Laura (#21) 7.9 88 0.1 10 68.2 %
999998 Lauren (#22) 1.8 59 0.0 15 74.6 %
999995 Courtney (#23) 4.6 17 0.3 44 76.5 %
1000000 Jesse (#24) -0.9 233 0.0 5 61.4 %
999982 Christian (#25) 17.9 13 1.4 57 92.3 %
999999 Cody (#26) 0.5 21 0.0 36 76.2 %
999996 Charles (#27) 4.4 18 0.2 41 77.8 %
999999 Katherine (#28) 0.4 62 0.0 14 75.8 %
999998 Jonathan (#29) 0.7 69 0.0 13 72.5 %
999986 Juan (#30) 14.8 15 1.0 48 86.7 %
999997 Erin (#31) 2.8 12 0.3 62 66.7 %
1000002 Michael (#32) -5.3 21 -0.2 36 66.7 %
999997 Morgan (#33) 2.8 7 0.4 103 71.4 %
1000002 Anthony (#34) -4.2 48 -0.1 16 77.1 %
1000003 Alexander (#35) -5.1 72 -0.1 12 81.9 %
1000005 Kelsey (#36) -7.9 33 -0.2 23 78.8 %
1000000 Elizabeth (#37) -2.2 11 -0.2 68 63.6 %
1000004 Brian (#38) -6.4 61 -0.1 14 75.4 %
1000003 Joseph (#39) -5.0 24 -0.2 32 79.2 %
999990 Kyle (#40) 10.2 12 0.8 59 91.7 %
999992 Danielle (#41) 7.8 10 0.8 73 90.0 %
1000005 Alexandra (#42) -7.1 61 -0.1 14 82.0 %
1000008 Maria (#43) -13.4 24 -0.5 31 66.7 %
1000002 Andrew (#44) -4.0 73 -0.1 12 76.7 %
1000003 Kevin (#45) -4.9 23 -0.2 34 78.3 %
1000005 Amber (#46) -7.6 97 -0.1 9 74.2 %
1000002 Nicole (#47) -4.5 18 -0.2 44 72.2 %
1000001 Patrick (#48) -2.9 7 -0.4 103 71.4 %
1000006 Mark (#49) -10.0 15 -0.7 52 66.7 %
999995 Daniel (#50) 6.5 10 0.6 74 70.0 %
999995 Allison (#51) 5.0 34 0.2 22 85.3 %
1000004 Jessica (#52) -7.0 135 -0.1 7 68.2 %
999997 Matthew (#53) 2.7 10 0.3 72 70.0 %
1000001 Austin (#54) -3.0 24 -0.1 32 75.0 %
1000011 David (#55) -18.9 18 -1.1 41 61.1 %
1000009 Dylan (#56) -14.2 16 -0.9 47 68.8 %
1000010 Adam (#57) -13.8 89 -0.2 10 76.4 %
1000008 Michelle (#58) -13.9 15 -0.9 51 66.7 %
1000001 Rachel (#59) -1.7 7 -0.3 100 85.7 %
1000000 Nathan (#60) -1.1 8 -0.1 89 75.0 %
1000011 John (#61) -17.4 94 -0.2 10 68.1 %
1000008 Rebecca (#62) -16.4 19 -0.8 43 57.9 %
1000002 Kimberly (#63) -4.3 15 -0.3 48 80.0 %
1000016 Christopher (#64) -22.0 24 -0.9 31 75.0 %
1000001 Emily (#65) -3.2 8 -0.4 94 75.0 %
1000009 Joshua (#66) -12.3 17 -0.7 43 82.4 %
1000000 Jacob (#67) -2.3 7 -0.3 107 71.4 %
1000014 Abigail (#68) -20.1 109 -0.2 8 73.4 %
1000012 Samantha (#69) -20.6 8 -2.6 97 62.5 %
1000012 Alyssa (#70) -15.7 23 -0.7 32 78.3 %
1000006 Chelsea (#71) -8.9 10 -0.9 73 80.0 %
1000007 Mary (#72) -12.1 9 -1.3 81 66.7 %
1000007 Hannah (#73) -11.1 7 -1.6 109 71.4 %
1000011 Benjamin (#74) -15.9 16 -1.0 46 75.0 %
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