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
999953 Dylan (#1) 57.9 20 2.9 37 80.0 %
999957 Melissa (#2) 57.0 31 1.8 25 74.2 %
999962 Christopher (#3) 49.3 33 1.5 23 75.8 %
999964 Ashley (#4) 46.9 31 1.5 23 74.2 %
999962 Jesse (#5) 59.0 230 0.3 5 63.5 %
999957 Samuel (#6) 48.6 7 7.0 98 85.7 %
999971 Alexis (#7) 35.6 35 1.0 21 77.1 %
999960 Megan (#8) 54.9 49 1.1 16 71.4 %
999970 Brittany (#9) 39.5 34 1.2 22 73.5 %
999974 Jose (#10) 34.4 41 0.8 19 73.2 %
999969 David (#11) 43.5 25 1.8 31 68.0 %
999966 Michael (#12) 51.0 25 2.0 31 64.0 %
999962 Olivia (#13) 47.6 13 3.7 60 76.9 %
999972 Brianna (#14) 37.0 44 0.8 18 72.7 %
999972 Alexandra (#15) 34.8 50 0.7 15 76.0 %
999971 Cody (#16) 40.0 23 1.7 32 69.6 %
999971 Cameron (#17) 37.9 26 1.5 29 73.1 %
999969 Nicole (#18) 44.6 21 2.1 38 66.7 %
999963 Eric (#19) 36.2 8 4.5 69 100.0 %
999971 Samantha (#20) 40.4 10 4.0 77 70.0 %
999972 Heather (#21) 32.6 6 5.5 95 83.3 %
999978 Anthony (#22) 28.9 39 0.7 19 71.8 %
999974 Kelsey (#23) 33.0 35 0.9 22 74.3 %
999977 Christina (#24) 30.1 33 0.9 23 72.7 %
999973 Mark (#25) 33.1 19 1.7 41 79.0 %
999970 Brandon (#26) 34.2 14 2.4 41 85.7 %
999978 Robert (#27) 33.1 8 4.1 85 62.5 %
999977 Richard (#28) 37.0 10 3.7 79 60.0 %
999969 Joshua (#29) 35.7 23 1.6 30 82.6 %
999975 Danielle (#30) 27.2 9 3.0 63 88.9 %
999975 Aaron (#31) 34.1 136 0.3 7 70.6 %
999975 Madison (#32) 33.6 34 1.0 23 70.6 %
999977 Patrick (#33) 33.0 9 3.7 76 66.7 %
999972 Amanda (#34) 31.6 14 2.3 41 85.7 %
999971 Maria (#35) 38.0 29 1.3 27 72.4 %
999978 Elizabeth (#36) 29.2 14 2.1 48 71.4 %
999982 Rebecca (#37) 25.4 19 1.3 41 68.4 %
999978 Michelle (#38) 29.5 14 2.1 55 71.4 %
999977 Christian (#39) 26.7 11 2.5 52 81.8 %
999979 Morgan (#40) 30.0 12 2.5 57 66.7 %
999981 Nicholas (#41) 32.3 32 1.0 24 56.3 %
999977 Mary (#42) 29.6 15 2.0 45 73.3 %
999983 Anna (#43) 22.7 54 0.4 15 68.5 %
999975 Kimberly (#44) 32.0 19 1.7 36 73.7 %
999977 Kayla (#45) 31.5 37 0.8 21 70.3 %
999982 Haley (#46) 28.9 10 2.9 65 60.0 %
999979 Erin (#47) 32.5 13 2.5 55 61.5 %
999978 James (#48) 25.0 6 4.2 99 83.3 %
999974 Lauren (#49) 36.5 51 0.7 16 68.6 %
999985 Charles (#50) 19.7 21 1.0 33 71.4 %
999979 Courtney (#51) 26.5 17 1.5 40 76.5 %
999984 Kevin (#52) 21.5 24 0.9 31 66.7 %
999975 Katherine (#53) 34.1 57 0.6 14 71.9 %
999980 Benjamin (#54) 24.1 18 1.3 35 77.8 %
999978 Sarah (#55) 32.2 6 5.3 119 66.7 %
999979 Alyssa (#56) 23.7 24 1.0 26 83.3 %
999983 Jordan (#57) 23.1 47 0.5 17 70.2 %
999980 Justin (#58) 31.0 120 0.3 8 62.5 %
999984 Emily (#59) 20.6 10 2.1 62 70.0 %
999985 Nathan (#60) 16.7 6 2.8 105 83.3 %
999986 Allison (#61) 18.3 24 0.8 29 70.8 %
999982 Chelsea (#62) 22.8 15 1.5 42 73.3 %
999988 Jacob (#63) 19.0 7 2.7 88 57.1 %
999987 Daniel (#64) 19.9 10 2.0 61 60.0 %
999990 Austin (#65) 13.3 21 0.6 33 66.7 %
999989 Joseph (#66) 15.3 26 0.6 29 65.4 %
999981 Abigail (#67) 24.8 111 0.2 8 70.3 %
999978 Jonathan (#68) 29.0 66 0.4 12 71.2 %
999983 Andrew (#69) 22.1 70 0.3 12 74.3 %
999991 Alexander (#70) 12.5 61 0.2 13 68.9 %
999989 Kyle (#71) 11.5 11 1.1 57 81.8 %
999987 Laura (#72) 18.5 78 0.2 11 62.8 %
999991 Matthew (#73) 10.5 8 1.4 78 75.0 %
999986 Jessica (#74) 22.4 126 0.2 7 58.7 %
999993 Brian (#75) 8.7 50 0.2 16 64.0 %
999989 John (#76) 16.3 87 0.2 10 64.4 %
999992 Juan (#77) 9.1 11 0.8 57 81.8 %
999990 Amber (#78) 13.5 89 0.2 10 69.7 %
999988 Adam (#79) 15.3 85 0.2 10 70.6 %
999994 Kaitlyn (#80) 8.3 80 0.1 11 67.5 %
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