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
999927 Katherine (#1) 95.6 51 1.9 13 74.5 %
999936 Jonathan (#2) 87.0 62 1.4 11 72.6 %
999936 Kaitlyn (#3) 90.8 75 1.2 9 69.3 %
999940 Amber (#4) 78.6 79 1.0 9 74.7 %
999947 John (#5) 72.6 83 0.9 9 71.1 %
999959 Samuel (#6) 56.3 7 8.0 75 71.4 %
999944 Brian (#7) 75.1 49 1.5 14 73.5 %
999946 Laura (#8) 80.4 69 1.2 10 66.7 %
999960 Lauren (#9) 56.3 46 1.2 14 69.6 %
999954 Brandon (#10) 51.6 16 3.3 30 87.5 %
999959 Samantha (#11) 51.4 9 5.7 66 77.8 %
999954 Andrew (#12) 61.6 62 1.0 11 72.6 %
999956 Adam (#13) 57.4 77 0.7 9 75.3 %
999971 Jessica (#14) 42.6 114 0.4 7 64.9 %
999952 Alexander (#15) 62.7 63 1.0 10 74.6 %
999957 Amanda (#16) 47.3 19 2.5 25 89.5 %
999961 Abigail (#17) 51.2 98 0.5 7 74.5 %
999954 Anna (#18) 65.9 48 1.4 13 68.8 %
999960 Christian (#19) 45.0 14 3.2 33 85.7 %
999959 Brianna (#20) 53.6 43 1.3 15 74.4 %
999964 Jordan (#21) 44.5 44 1.0 15 77.3 %
999967 Jesse (#22) 51.4 185 0.3 5 62.7 %
999968 Richard (#23) 38.7 10 3.9 61 80.0 %
999967 Justin (#24) 48.9 109 0.5 7 66.1 %
999966 Kayla (#25) 49.3 34 1.4 19 67.7 %
999974 Aaron (#26) 34.8 122 0.3 6 72.1 %
999962 Chelsea (#27) 41.9 16 2.6 32 87.5 %
999976 Patrick (#28) 30.3 9 3.3 58 77.8 %
999967 Daniel (#29) 38.2 12 3.2 43 83.3 %
999970 Haley (#30) 34.6 11 3.2 46 81.8 %
999965 Joshua (#31) 38.2 21 1.8 25 90.5 %
999965 Alyssa (#32) 40.8 25 1.6 21 84.0 %
999974 Emily (#33) 31.4 10 3.1 50 80.0 %
999975 Elizabeth (#34) 31.5 12 2.7 47 75.0 %
999970 Alexandra (#35) 39.8 50 0.8 13 72.0 %
999980 Hannah (#36) 26.2 8 3.3 61 75.0 %
999975 Anthony (#37) 32.9 42 0.8 14 73.8 %
999977 Megan (#38) 35.0 44 0.8 15 63.6 %
999978 Kyle (#39) 25.8 11 2.4 47 81.8 %
999971 Eric (#40) 31.6 8 4.0 59 87.5 %
999974 Danielle (#41) 31.6 9 3.6 51 77.8 %
999966 Benjamin (#42) 35.6 21 1.7 25 90.5 %
999980 Matthew (#43) 25.2 9 2.8 57 77.8 %
999981 Juan (#44) 22.8 13 1.8 40 76.9 %
999974 Mary (#45) 28.6 13 2.2 41 84.6 %
999973 Kimberly (#46) 29.8 15 2.0 35 86.7 %
999983 Robert (#47) 21.0 8 2.6 65 75.0 %
999985 Jacob (#48) 19.9 7 2.9 70 71.4 %
999972 Kelsey (#49) 34.6 25 1.4 24 76.0 %
999985 James (#50) 20.7 6 3.5 75 66.7 %
999976 Madison (#51) 35.5 30 1.2 21 66.7 %
999982 Morgan (#52) 20.7 10 2.1 53 80.0 %
999980 Alexis (#53) 26.6 35 0.8 17 71.4 %
999972 Maria (#54) 35.9 21 1.7 30 76.2 %
999979 Melissa (#55) 33.2 29 1.1 22 62.1 %
999981 Erin (#56) 21.6 11 2.0 53 81.8 %
999982 Heather (#57) 20.3 6 3.3 81 83.3 %
999985 Olivia (#58) 17.7 10 1.8 62 80.0 %
999985 Cameron (#59) 20.3 24 0.8 25 70.8 %
999982 Allison (#60) 21.1 26 0.8 22 80.8 %
999985 Courtney (#61) 15.9 16 1.0 35 87.5 %
999981 Christina (#62) 25.8 28 0.9 21 67.9 %
999981 Brittany (#63) 24.9 27 0.9 22 70.4 %
999985 Mark (#64) 17.5 14 1.3 45 78.6 %
999988 Charles (#65) 13.4 21 0.6 26 81.0 %
999989 Joseph (#66) 12.0 22 0.6 28 81.8 %
999983 Jose (#67) 22.8 27 0.9 22 70.4 %
999987 Austin (#68) 14.4 24 0.6 24 83.3 %
999991 Cody (#69) 10.7 17 0.7 35 76.5 %
999988 Rachel (#70) 12.8 6 2.2 86 83.3 %
999986 Christopher (#71) 18.5 21 0.9 29 66.7 %
999983 Michael (#72) 21.7 22 1.0 29 72.7 %
999985 Rebecca (#73) 24.2 12 2.0 50 58.3 %
999994 Michelle (#74) 6.8 13 0.5 47 76.9 %
999992 Nicholas (#75) 11.9 27 0.4 24 55.6 %
999998 Sarah (#76) 1.6 6 0.3 82 66.7 %
999996 Kevin (#77) 4.2 17 0.2 36 70.6 %
999994 David (#78) 7.0 17 0.4 36 70.6 %
1000001 Dylan (#79) -2.7 12 -0.3 51 66.7 %
999998 Ashley (#80) 0.9 26 0.0 23 65.4 %
1000007 Nicole (#81) -15.1 16 -0.9 38 56.3 %
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