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 "Marriott International cl A (MAR)"

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

Find The Lastest Buy Signals for MAR Below.



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Algorithms Results since Jan/2010


  to  
Sort Factor Algorithm % Result # Trades % Result/Trade Days/Trade Hit % Detailed View
999960 Dylan (#1) 48.9 19 2.6 38 79.0 %
999969 Ashley (#2) 42.5 29 1.5 24 72.4 %
999957 Samuel (#3) 48.6 7 7.0 98 85.7 %
999970 Christopher (#4) 40.3 30 1.3 24 73.3 %
999968 Jesse (#5) 50.0 189 0.3 5 63.0 %
999972 Melissa (#6) 38.7 27 1.4 26 70.4 %
999976 Alexis (#7) 30.1 32 0.9 22 75.0 %
999976 Brittany (#8) 32.2 31 1.0 23 71.0 %
999980 Jose (#9) 27.0 37 0.7 20 70.3 %
999977 Alexandra (#10) 29.1 44 0.7 16 75.0 %
999963 Eric (#11) 36.2 8 4.5 69 100.0 %
999972 Heather (#12) 32.6 6 5.5 95 83.3 %
999976 David (#13) 34.8 23 1.5 32 65.2 %
999979 Brianna (#14) 29.3 37 0.8 19 70.3 %
999978 Cody (#15) 32.0 21 1.5 34 66.7 %
999977 Cameron (#16) 31.5 24 1.3 30 70.8 %
999970 Brandon (#17) 34.2 14 2.4 41 85.7 %
999980 Michael (#18) 33.5 22 1.5 34 59.1 %
999975 Danielle (#19) 27.2 9 3.0 63 88.9 %
999983 Anthony (#20) 22.6 33 0.7 21 69.7 %
999977 Megan (#21) 33.0 38 0.9 18 65.8 %
999972 Amanda (#22) 31.6 14 2.3 41 85.7 %
999980 Christina (#23) 25.5 29 0.9 24 72.4 %
999976 Mark (#24) 28.7 18 1.6 42 77.8 %
999979 Samantha (#25) 30.2 9 3.3 82 66.7 %
999978 Olivia (#26) 28.4 12 2.3 64 75.0 %
999973 Joshua (#27) 32.3 22 1.5 31 81.8 %
999977 Christian (#28) 26.7 11 2.5 52 81.8 %
999982 Kelsey (#29) 24.0 31 0.8 24 71.0 %
999981 Aaron (#30) 24.9 111 0.2 7 70.3 %
999980 Madison (#31) 27.7 29 1.0 24 69.0 %
999983 Nicole (#32) 25.4 19 1.3 40 63.2 %
999978 James (#33) 25.0 6 4.2 99 83.3 %
999978 Kimberly (#34) 28.6 18 1.6 37 72.2 %
999986 Robert (#35) 22.4 7 3.1 95 57.1 %
999987 Anna (#36) 17.6 47 0.4 15 66.0 %
999981 Maria (#37) 26.3 25 1.0 29 68.0 %
999986 Charles (#38) 18.1 20 0.9 34 70.0 %
999985 Elizabeth (#39) 20.4 13 1.5 50 69.2 %
999982 Mary (#40) 23.7 14 1.7 47 71.4 %
999984 Michelle (#41) 20.7 13 1.6 57 69.2 %
999978 Sarah (#42) 32.2 6 5.3 119 66.7 %
999987 Morgan (#43) 19.4 11 1.7 60 63.6 %
999983 Kayla (#44) 23.6 31 0.8 23 67.7 %
999983 Courtney (#45) 21.5 16 1.3 42 75.0 %
999988 Kevin (#46) 17.2 22 0.8 33 63.6 %
999985 Nathan (#47) 16.7 6 2.8 105 83.3 %
999982 Alyssa (#48) 19.9 23 0.9 27 82.6 %
999982 Katherine (#49) 24.9 47 0.5 15 68.1 %
999985 Benjamin (#50) 18.1 17 1.1 36 76.5 %
999993 Rebecca (#51) 8.9 18 0.5 42 66.7 %
999989 Allison (#52) 14.0 22 0.6 31 68.2 %
999991 Nicholas (#53) 15.4 28 0.5 25 53.6 %
999988 Erin (#54) 17.9 12 1.5 58 58.3 %
999991 Richard (#55) 13.9 9 1.6 84 55.6 %
999992 Patrick (#56) 11.5 8 1.4 84 62.5 %
999992 Austin (#57) 10.9 20 0.6 34 65.0 %
999987 Chelsea (#58) 16.8 14 1.2 44 71.4 %
999992 Emily (#59) 11.2 9 1.2 67 66.7 %
999990 Jordan (#60) 12.8 39 0.3 18 66.7 %
999992 Joseph (#61) 11.3 24 0.5 31 62.5 %
999992 Haley (#62) 12.3 9 1.3 70 55.6 %
999992 Alexander (#63) 10.1 53 0.2 14 67.9 %
999991 Matthew (#64) 10.5 8 1.4 78 75.0 %
999988 Justin (#65) 18.1 97 0.2 8 60.8 %
999989 Kyle (#66) 11.5 11 1.1 57 81.8 %
999988 Lauren (#67) 17.0 41 0.4 17 63.4 %
999994 Daniel (#68) 9.0 9 1.0 67 55.6 %
999992 Juan (#69) 9.1 11 0.8 57 81.8 %
999989 Abigail (#70) 14.9 90 0.2 8 67.8 %
999990 Andrew (#71) 13.3 59 0.2 12 71.2 %
999992 John (#72) 11.6 71 0.2 10 62.0 %
999988 Jonathan (#73) 16.5 53 0.3 13 66.0 %
999997 Brian (#74) 3.4 43 0.1 16 60.5 %
999993 Adam (#75) 9.3 70 0.1 10 70.0 %
999996 Laura (#76) 5.0 64 0.1 12 59.4 %
999997 Amber (#77) 3.2 72 0.0 10 68.1 %
999997 Jessica (#78) 3.3 99 0.0 8 52.5 %
1000001 Kaitlyn (#79) -3.5 64 -0.1 12 62.5 %
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