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  
2015 2016 2017 2018 2019 2020 2021 2022 2023 2024
Sort Factor Algorithm % Result # Trades % Result/Trade Days/Trade Hit % Detailed View
999974 Katherine (#1) 33.9 29 1.2 14 72.4 %
999970 Brandon (#2) 32.2 11 2.9 34 90.9 %
999972 Amanda (#3) 30.1 11 2.7 34 90.9 %
999969 Eric (#4) 29.6 6 5.0 60 100.0 %
999981 Megan (#5) 30.4 23 1.3 17 60.9 %
999975 Joshua (#6) 29.0 12 2.4 30 83.3 %
999977 Jonathan (#7) 30.8 32 1.0 13 71.9 %
999980 Jesse (#8) 32.0 102 0.3 5 59.8 %
999981 Michael (#9) 29.3 11 2.6 39 63.6 %
999975 Kimberly (#10) 29.4 11 2.6 33 81.8 %
999980 David (#11) 27.1 13 2.1 33 69.2 %
999978 Dylan (#12) 27.1 9 3.0 47 77.8 %
999981 Kayla (#13) 24.1 19 1.3 22 73.7 %
999983 Cameron (#14) 22.4 14 1.6 30 71.4 %
999983 Lauren (#15) 25.4 25 1.0 16 64.0 %
999981 Maria (#16) 24.6 14 1.8 31 71.4 %
999984 Erin (#17) 20.6 7 3.0 56 71.4 %
999981 Christian (#18) 21.5 8 2.6 47 87.5 %
999984 Ashley (#19) 21.4 15 1.4 27 73.3 %
999984 Cody (#20) 21.6 12 1.8 35 66.7 %
999982 Mary (#21) 22.1 9 2.4 40 77.8 %
999984 Madison (#22) 20.6 17 1.2 24 70.6 %
999981 Courtney (#23) 21.6 10 2.2 40 80.0 %
999981 Mark (#24) 21.9 11 2.0 39 81.8 %
999985 Christopher (#25) 18.7 14 1.4 30 71.4 %
999985 Olivia (#26) 19.1 7 2.7 63 71.4 %
999983 Alyssa (#27) 19.2 14 1.4 27 85.7 %
999983 Benjamin (#28) 18.8 12 1.6 32 83.3 %
999984 Danielle (#29) 18.4 6 3.0 61 83.3 %
999985 Chelsea (#30) 18.3 10 1.8 38 80.0 %
999986 Elizabeth (#31) 16.5 8 2.1 47 75.0 %
999987 Jordan (#32) 16.1 23 0.7 18 73.9 %
999987 Abigail (#33) 18.3 50 0.4 8 66.0 %
999987 Michelle (#34) 16.6 7 2.4 61 71.4 %
999987 Melissa (#35) 14.6 14 1.1 29 78.6 %
999989 Brianna (#36) 14.4 19 0.7 22 73.7 %
999988 Andrew (#37) 15.6 35 0.5 12 71.4 %
999990 Christina (#38) 13.3 14 0.9 29 71.4 %
999990 Kelsey (#39) 13.1 14 0.9 30 71.4 %
999990 Nicole (#40) 14.9 10 1.5 45 60.0 %
999990 Morgan (#41) 14.0 6 2.3 59 66.7 %
999990 Brittany (#42) 12.3 14 0.9 30 71.4 %
999987 Kyle (#43) 12.6 9 1.4 43 88.9 %
999990 Adam (#44) 13.4 37 0.4 11 70.3 %
999990 John (#45) 14.5 39 0.4 11 61.5 %
999993 Justin (#46) 11.3 50 0.2 9 58.0 %
999991 Kevin (#47) 11.4 14 0.8 29 71.4 %
999992 Matthew (#48) 10.2 7 1.4 55 71.4 %
999992 Allison (#49) 9.7 13 0.8 30 69.2 %
999992 Alexandra (#50) 9.2 20 0.5 21 75.0 %
999992 Charles (#51) 9.5 12 0.8 34 75.0 %
999990 Juan (#52) 9.8 9 1.1 43 88.9 %
999993 Kaitlyn (#53) 9.2 34 0.3 12 70.6 %
999993 Laura (#54) 9.2 34 0.3 12 61.8 %
999995 Anna (#55) 7.4 25 0.3 17 60.0 %
999993 Aaron (#56) 9.2 58 0.2 8 65.5 %
999993 Emily (#57) 8.8 6 1.5 61 66.7 %
999994 Anthony (#58) 7.1 15 0.5 27 73.3 %
999994 Joseph (#59) 6.7 14 0.5 29 64.3 %
999995 Nicholas (#60) 6.6 13 0.5 31 53.9 %
999996 Austin (#61) 5.1 12 0.4 33 66.7 %
999995 Alexis (#62) 4.7 15 0.3 27 73.3 %
999997 Brian (#63) 3.6 24 0.2 17 58.3 %
999996 Amber (#64) 5.2 38 0.1 11 68.4 %
999997 Alexander (#65) 3.1 28 0.1 15 64.3 %
999998 Jose (#66) 1.3 14 0.1 29 57.1 %
1000003 Rebecca (#67) -8.3 9 -0.9 49 55.6 %
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