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


2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024
  to  
2017 2018 2019 2020 2021 2022 2023 2024
Sort Factor Algorithm % Result # Trades % Result/Trade Days/Trade Hit % Detailed View
999971 Rebecca (#1) 37.4 13 2.9 34 76.9 %
999974 Jose (#2) 33.3 28 1.2 15 75.0 %
999979 Alexis (#3) 27.9 22 1.3 18 72.7 %
999979 Christopher (#4) 28.3 21 1.3 19 71.4 %
999983 Melissa (#5) 27.0 17 1.6 25 58.8 %
999978 Aaron (#6) 28.8 81 0.4 6 74.1 %
999982 Dylan (#7) 22.8 12 1.9 34 75.0 %
999983 Brittany (#8) 23.4 23 1.0 18 69.6 %
999981 Jesse (#9) 28.3 134 0.2 4 64.9 %
999980 Olivia (#10) 21.8 7 3.1 62 85.7 %
999986 Richard (#11) 20.5 6 3.3 74 66.7 %
999987 Ashley (#12) 19.4 17 1.1 23 64.7 %
999984 Alexandra (#13) 20.0 32 0.6 13 75.0 %
999987 Anthony (#14) 18.0 24 0.8 17 66.7 %
999986 Samantha (#15) 19.2 6 3.2 75 66.7 %
999988 Elizabeth (#16) 16.1 7 2.3 55 71.4 %
999986 Nicole (#17) 18.7 12 1.6 35 66.7 %
999987 Christian (#18) 14.4 6 2.3 45 83.3 %
999989 Cody (#19) 14.2 13 1.1 31 69.2 %
999990 David (#20) 13.7 13 1.1 32 61.5 %
999989 Morgan (#21) 14.1 7 2.0 59 71.4 %
999989 Christina (#22) 14.3 20 0.7 20 70.0 %
999991 Allison (#23) 11.8 13 0.9 30 69.2 %
999991 Charles (#24) 11.9 11 1.1 35 63.6 %
999991 Mary (#25) 11.3 7 1.6 58 71.4 %
999988 Amanda (#26) 11.5 9 1.3 30 88.9 %
999989 Kelsey (#27) 13.8 20 0.7 21 70.0 %
999990 Megan (#28) 11.7 21 0.6 20 71.4 %
999991 Haley (#29) 11.9 6 2.0 63 66.7 %
999989 Patrick (#30) 12.3 6 2.0 70 83.3 %
999991 Brianna (#31) 12.0 25 0.5 17 64.0 %
999988 Jessica (#32) 17.5 74 0.2 7 62.2 %
999990 John (#33) 12.6 49 0.3 9 67.4 %
999992 Mark (#34) 10.6 9 1.2 47 66.7 %
999992 Daniel (#35) 9.9 6 1.7 56 66.7 %
999990 Joshua (#36) 10.6 13 0.9 32 84.6 %
999992 Michael (#37) 11.1 14 0.8 29 64.3 %
999993 Cameron (#38) 9.7 13 0.8 31 61.5 %
999991 Nicholas (#39) 13.2 19 0.7 22 57.9 %
999993 Joseph (#40) 10.1 13 0.8 33 61.5 %
999988 Justin (#41) 18.1 72 0.3 7 62.5 %
999992 Brandon (#42) 8.7 6 1.5 45 83.3 %
999994 Austin (#43) 8.5 11 0.7 35 63.6 %
999994 Erin (#44) 8.8 7 1.3 59 57.1 %
999993 Kimberly (#45) 8.4 10 0.8 41 70.0 %
999993 Madison (#46) 9.2 16 0.6 26 68.8 %
999995 Kevin (#47) 7.5 11 0.7 38 54.6 %
999995 Courtney (#48) 6.6 8 0.9 47 62.5 %
999995 Michelle (#49) 6.4 8 0.8 54 62.5 %
999996 Chelsea (#50) 5.4 7 0.7 49 57.1 %
999993 Anna (#51) 8.2 30 0.3 14 70.0 %
999996 Maria (#52) 5.2 15 0.3 28 66.7 %
999996 Alyssa (#53) 4.4 12 0.3 28 75.0 %
999997 Benjamin (#54) 2.5 8 0.4 42 62.5 %
999998 Amber (#55) 2.2 48 0.0 10 68.8 %
999998 Abigail (#56) 2.2 59 0.0 8 67.8 %
999999 Kaitlyn (#57) 0.1 46 0.0 10 63.0 %
999998 Alexander (#58) 1.1 34 0.0 13 70.6 %
1000002 Laura (#59) -4.9 46 -0.1 11 60.9 %
1000002 Kayla (#60) -4.5 17 -0.3 25 52.9 %
1000004 Jordan (#61) -8.1 23 -0.4 18 56.5 %
1000003 Brian (#62) -6.3 27 -0.2 16 63.0 %
1000004 Andrew (#63) -7.4 33 -0.2 13 69.7 %
1000005 Adam (#64) -7.5 45 -0.2 10 71.1 %
1000009 Katherine (#65) -16.9 26 -0.7 16 61.5 %
1000009 Lauren (#66) -18.3 22 -0.8 19 54.6 %
1000010 Jonathan (#67) -18.4 31 -0.6 14 61.3 %
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