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  
2016 2017 2018 2019 2020 2021 2022 2023 2024
Sort Factor Algorithm % Result # Trades % Result/Trade Days/Trade Hit % Detailed View
999961 Jesse (#1) 56.4 139 0.4 4 67.6 %
999959 Dylan (#2) 47.2 14 3.4 31 85.7 %
999972 Alexis (#3) 34.6 23 1.5 18 78.3 %
999971 Jose (#4) 35.7 28 1.3 16 78.6 %
999974 Ashley (#5) 33.6 20 1.7 21 75.0 %
999972 Alexandra (#6) 34.8 32 1.1 14 78.1 %
999975 Christopher (#7) 31.8 21 1.5 20 76.2 %
999977 Brittany (#8) 30.1 22 1.4 19 72.7 %
999981 Melissa (#9) 27.4 18 1.5 26 66.7 %
999978 Brianna (#10) 29.3 26 1.1 17 73.1 %
999981 Anthony (#11) 25.6 24 1.1 18 70.8 %
999977 Aaron (#12) 29.4 83 0.4 6 77.1 %
999974 Mark (#13) 29.1 13 2.2 34 84.6 %
999975 Olivia (#14) 26.5 8 3.4 57 87.5 %
999982 Rebecca (#15) 21.8 13 1.7 33 76.9 %
999977 Danielle (#16) 22.2 6 3.7 59 100.0 %
999974 Joshua (#17) 29.4 16 1.8 27 87.5 %
999983 Anna (#18) 23.4 32 0.7 14 68.8 %
999982 Samantha (#19) 25.4 6 4.2 76 66.7 %
999983 Cameron (#20) 21.6 15 1.5 29 73.3 %
999982 Christina (#21) 21.8 20 1.1 21 75.0 %
999984 Cody (#22) 22.2 13 1.7 33 69.2 %
999986 David (#23) 21.2 14 1.5 31 64.3 %
999981 Morgan (#24) 24.5 8 3.0 52 75.0 %
999980 Patrick (#25) 22.5 6 3.8 70 83.3 %
999984 Charles (#26) 21.3 15 1.4 27 73.3 %
999980 Christian (#27) 22.3 8 2.8 45 87.5 %
999984 Kelsey (#28) 20.6 22 1.0 20 72.7 %
999985 Nicole (#29) 21.4 12 1.8 37 66.7 %
999979 Mary (#30) 25.0 10 2.5 40 80.0 %
999981 Emily (#31) 21.1 7 3.0 52 85.7 %
999983 Michelle (#32) 21.0 9 2.3 49 77.8 %
999980 Brandon (#33) 20.9 9 2.3 39 88.9 %
999978 Kimberly (#34) 26.9 13 2.1 32 76.9 %
999986 Austin (#35) 18.3 14 1.3 29 71.4 %
999980 Courtney (#36) 23.0 11 2.1 36 81.8 %
999982 Amanda (#37) 19.1 9 2.1 39 88.9 %
999980 Alyssa (#38) 21.6 17 1.3 22 88.2 %
999985 Megan (#39) 19.6 25 0.8 18 68.0 %
999987 Kevin (#40) 19.2 14 1.4 31 64.3 %
999986 Haley (#41) 19.0 6 3.2 64 66.7 %
999986 Allison (#42) 18.0 15 1.2 27 73.3 %
999987 Elizabeth (#43) 16.0 8 2.0 48 75.0 %
999987 Madison (#44) 17.6 19 1.0 24 68.4 %
999987 Alexander (#45) 17.0 36 0.5 13 69.4 %
999987 Daniel (#46) 16.6 7 2.4 52 71.4 %
999989 Richard (#47) 15.1 6 2.5 78 66.7 %
999990 Joseph (#48) 14.8 16 0.9 28 62.5 %
999990 Michael (#49) 15.1 14 1.1 32 57.1 %
999985 John (#50) 20.5 52 0.4 9 69.2 %
999985 Benjamin (#51) 17.1 11 1.6 33 81.8 %
999984 Chelsea (#52) 18.6 9 2.1 41 77.8 %
999986 Justin (#53) 20.3 72 0.3 7 63.9 %
999987 Kyle (#54) 14.4 8 1.8 47 87.5 %
999987 Kayla (#55) 17.6 19 1.0 23 68.4 %
999988 Maria (#56) 16.2 16 1.0 28 68.8 %
999990 Jordan (#57) 13.2 25 0.5 18 68.0 %
999988 Juan (#58) 13.1 8 1.6 47 87.5 %
999992 Brian (#59) 12.0 29 0.4 15 62.1 %
999993 Nicholas (#60) 10.6 20 0.6 21 55.0 %
999987 Abigail (#61) 16.1 67 0.2 8 73.1 %
999987 Andrew (#62) 16.3 42 0.4 11 73.8 %
999990 Erin (#63) 13.5 8 1.8 52 62.5 %
999990 Amber (#64) 12.8 54 0.2 9 72.2 %
999991 Jessica (#65) 12.7 74 0.2 7 59.5 %
999991 Adam (#66) 11.3 51 0.2 9 72.6 %
999992 Katherine (#67) 11.9 32 0.4 14 62.5 %
999995 Laura (#68) 6.1 47 0.1 11 61.7 %
999997 Lauren (#69) 4.4 28 0.1 16 60.7 %
999996 Jonathan (#70) 4.4 38 0.1 13 65.8 %
999995 Kaitlyn (#71) 6.3 46 0.1 11 63.0 %
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