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 "Martin Marietta Materials (MLM)"

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

Find The Lastest Buy Signals for MLM Below.



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Algorithms Results since Jan/2010


  to  
Sort Factor Algorithm % Result # Trades % Result/Trade Days/Trade Hit % Detailed View
999946 Kaitlyn (#1) 77.6 72 1.1 11 68.1 %
999943 John (#2) 72.5 80 0.9 10 76.3 %
999938 Andrew (#3) 76.5 74 1.0 10 79.7 %
999941 Adam (#4) 72.8 88 0.8 9 79.6 %
999942 Jonathan (#5) 75.3 64 1.2 12 76.6 %
999949 Amber (#6) 67.2 83 0.8 9 74.7 %
999946 Alexander (#7) 67.4 69 1.0 11 79.7 %
999956 Katherine (#8) 60.6 54 1.1 14 70.4 %
999959 Laura (#9) 61.3 73 0.8 11 65.8 %
999961 Justin (#10) 59.2 113 0.5 7 63.7 %
999955 Anna (#11) 54.6 49 1.1 15 79.6 %
999968 Nicholas (#12) 46.3 28 1.6 25 67.9 %
999963 Abigail (#13) 49.2 101 0.5 8 74.3 %
999963 Melissa (#14) 45.6 27 1.7 26 77.8 %
999964 Brian (#15) 45.5 50 0.9 14 78.0 %
999969 Megan (#16) 44.4 45 1.0 16 68.9 %
999963 Alyssa (#17) 40.6 24 1.7 26 87.5 %
999968 Maria (#18) 41.9 22 1.9 31 72.7 %
999964 Benjamin (#19) 39.9 22 1.8 28 86.4 %
999967 Alexis (#20) 38.3 40 1.0 16 85.0 %
999972 Lauren (#21) 37.7 45 0.8 16 71.1 %
999977 Jessica (#22) 33.8 120 0.3 7 64.2 %
999971 Brittany (#23) 34.7 29 1.2 23 79.3 %
999973 Kayla (#24) 33.3 37 0.9 19 78.4 %
999970 Joshua (#25) 36.2 22 1.6 27 81.8 %
999972 Daniel (#26) 31.5 14 2.2 43 85.7 %
999972 Chelsea (#27) 33.3 17 1.9 36 82.4 %
999973 Christopher (#28) 31.3 24 1.3 27 83.3 %
999976 Brianna (#29) 31.5 37 0.8 19 75.7 %
999975 Alexandra (#30) 29.0 47 0.6 15 83.0 %
999981 Cameron (#31) 24.6 23 1.1 28 73.9 %
999979 Michael (#32) 27.0 19 1.4 35 73.7 %
999985 Eric (#33) 20.1 7 2.9 88 71.4 %
999982 Madison (#34) 24.2 30 0.8 23 70.0 %
999979 Jose (#35) 24.8 32 0.8 22 78.1 %
999982 Ashley (#36) 21.7 32 0.7 21 78.1 %
999981 Jordan (#37) 21.2 45 0.5 16 84.4 %
999986 Danielle (#38) 17.7 7 2.6 87 71.4 %
999983 Christina (#39) 20.6 27 0.8 24 77.8 %
999983 Mary (#40) 18.7 12 1.6 49 83.3 %
999986 Amanda (#41) 16.4 14 1.1 44 78.6 %
999986 Morgan (#42) 16.2 11 1.5 52 81.8 %
999989 Brandon (#43) 12.4 10 1.2 62 80.0 %
999986 Kelsey (#44) 18.1 27 0.7 25 70.4 %
999989 Christian (#45) 12.5 8 1.6 77 75.0 %
999988 Emily (#46) 14.8 12 1.3 50 75.0 %
999985 Jesse (#47) 22.5 190 0.1 5 62.6 %
999989 Allison (#48) 13.2 23 0.6 27 73.9 %
999991 David (#49) 9.8 18 0.6 36 77.8 %
999991 Austin (#50) 11.4 19 0.6 33 73.7 %
999989 Aaron (#51) 14.0 132 0.1 6 74.2 %
999992 Hannah (#52) 9.0 10 0.9 60 80.0 %
999989 Anthony (#53) 13.0 34 0.4 20 79.4 %
999993 Kimberly (#54) 8.6 13 0.7 45 69.2 %
999992 Samantha (#55) 11.1 9 1.2 67 66.7 %
999996 James (#56) 3.9 6 0.7 100 66.7 %
999994 Richard (#57) 8.3 9 0.9 69 66.7 %
999994 Haley (#58) 7.0 9 0.8 66 66.7 %
999996 Cody (#59) 5.3 16 0.3 40 68.8 %
999998 Kyle (#60) 1.8 7 0.3 96 71.4 %
999996 Courtney (#61) 3.8 13 0.3 49 84.6 %
999997 Erin (#62) 3.4 10 0.3 63 60.0 %
999998 Mark (#63) 1.0 13 0.1 49 69.2 %
999997 Robert (#64) 2.9 7 0.4 82 71.4 %
1000000 Sarah (#65) -1.3 6 -0.2 92 66.7 %
999999 Elizabeth (#66) 0.3 10 0.0 62 70.0 %
1000002 Charles (#67) -3.8 13 -0.3 48 84.6 %
999997 Nicole (#68) 1.8 18 0.1 38 77.8 %
1000002 Kevin (#69) -4.2 15 -0.3 43 66.7 %
1000003 Jacob (#70) -6.0 6 -1.0 98 66.7 %
1000005 Dylan (#71) -8.1 11 -0.7 58 72.7 %
1000004 Michelle (#72) -8.0 11 -0.7 58 63.6 %
1000005 Patrick (#73) -9.1 9 -1.0 63 66.7 %
1000006 Joseph (#74) -9.9 21 -0.5 30 66.7 %
1000006 Olivia (#75) -12.1 9 -1.3 70 55.6 %
1000000 Rebecca (#76) -2.3 14 -0.1 49 57.1 %
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