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
999945 Erin (#1) 71.4 17 4.2 42 76.5 %
999948 Elizabeth (#2) 61.9 17 3.7 40 82.4 %
999945 Olivia (#3) 66.0 17 3.9 47 82.4 %
999944 Brittany (#4) 69.3 44 1.6 17 79.6 %
999947 Alexis (#5) 64.9 44 1.5 17 79.6 %
999948 Ashley (#6) 66.3 36 1.8 20 77.8 %
999949 Dylan (#7) 61.4 23 2.7 32 82.6 %
999947 Christopher (#8) 64.3 37 1.7 20 81.1 %
999952 Courtney (#9) 57.5 22 2.6 31 81.8 %
999954 Cameron (#10) 56.4 30 1.9 24 80.0 %
999953 Cody (#11) 56.6 27 2.1 28 81.5 %
999952 David (#12) 64.5 26 2.5 30 73.1 %
999956 Melissa (#13) 63.7 33 1.9 24 66.7 %
999958 Charles (#14) 51.2 26 2.0 27 80.8 %
999959 Megan (#15) 59.7 46 1.3 17 67.4 %
999955 Michelle (#16) 57.1 17 3.4 46 76.5 %
999956 Richard (#17) 57.3 12 4.8 68 75.0 %
999954 Christina (#18) 57.9 40 1.5 19 77.5 %
999959 Allison (#19) 47.6 31 1.6 23 83.9 %
999960 Austin (#20) 47.1 29 1.6 24 82.8 %
999953 Anthony (#21) 60.6 49 1.2 16 75.5 %
999966 Chelsea (#22) 42.8 18 2.4 34 77.8 %
999966 Daniel (#23) 41.9 14 3.0 43 78.6 %
999956 Jose (#24) 58.1 50 1.2 16 74.0 %
999960 Samantha (#25) 52.2 12 4.3 67 75.0 %
999956 Madison (#26) 54.8 38 1.5 21 79.0 %
999960 Danielle (#27) 43.7 9 4.9 58 88.9 %
999958 Brianna (#28) 54.3 48 1.1 16 75.0 %
999964 Nicole (#29) 46.9 24 2.0 33 75.0 %
999962 Mark (#30) 46.2 20 2.3 38 80.0 %
999966 Christian (#31) 40.2 11 3.6 48 81.8 %
999975 Rebecca (#32) 35.8 21 1.7 38 66.7 %
999966 Justin (#33) 51.8 131 0.4 7 63.4 %
999968 Alyssa (#34) 36.2 27 1.3 23 85.2 %
999970 Emily (#35) 34.6 11 3.2 53 81.8 %
999958 Alexandra (#36) 52.3 61 0.9 13 78.7 %
999963 Kayla (#37) 50.5 40 1.3 20 70.0 %
999967 Joseph (#38) 42.2 29 1.5 26 75.9 %
999975 Kimberly (#39) 32.4 21 1.5 32 76.2 %
999972 Benjamin (#40) 33.2 21 1.6 29 81.0 %
999975 Morgan (#41) 35.7 15 2.4 44 66.7 %
999974 Haley (#42) 33.1 13 2.5 50 76.9 %
999974 Eric (#43) 29.9 6 5.0 84 83.3 %
999964 Kelsey (#44) 43.7 40 1.1 20 80.0 %
999969 Kevin (#45) 40.9 25 1.6 30 72.0 %
999973 Michael (#46) 35.9 25 1.4 32 72.0 %
999974 Joshua (#47) 30.4 26 1.2 26 84.6 %
999982 Mary (#48) 24.1 16 1.5 42 68.8 %
999970 Kaitlyn (#49) 43.5 84 0.5 10 65.5 %
999972 Anna (#50) 37.1 62 0.6 13 72.6 %
999981 Maria (#51) 26.0 30 0.9 27 70.0 %
999978 Jordan (#52) 30.4 49 0.6 16 69.4 %
999974 Laura (#53) 41.0 85 0.5 10 61.2 %
999991 Jesse (#54) 12.2 228 0.1 5 63.2 %
999978 Brian (#55) 33.3 57 0.6 14 64.9 %
999989 Matthew (#56) 11.7 6 2.0 97 83.3 %
999979 Nicholas (#57) 37.2 34 1.1 23 52.9 %
999990 Juan (#58) 11.8 9 1.3 65 77.8 %
999989 Amanda (#59) 12.1 15 0.8 35 86.7 %
999992 Samuel (#60) 9.2 6 1.5 110 83.3 %
999990 Brandon (#61) 10.7 11 1.0 48 81.8 %
999977 Lauren (#62) 32.4 50 0.6 16 68.0 %
999989 Jessica (#63) 16.3 133 0.1 7 63.2 %
999982 John (#64) 26.0 90 0.3 10 64.4 %
999982 Amber (#65) 25.1 91 0.3 9 68.1 %
999981 Andrew (#66) 25.4 67 0.4 12 71.6 %
999993 Patrick (#67) 7.5 9 0.9 74 77.8 %
999983 Alexander (#68) 23.4 66 0.4 12 71.2 %
999997 Kyle (#69) 2.8 7 0.4 83 71.4 %
999989 Jonathan (#70) 15.6 63 0.3 13 63.5 %
999988 Katherine (#71) 15.5 53 0.3 15 66.0 %
1000000 Hannah (#72) -2.4 6 -0.3 97 66.7 %
1000001 Robert (#73) -2.7 6 -0.5 107 66.7 %
999996 Aaron (#74) 3.7 138 0.0 7 71.0 %
999993 Adam (#75) 8.5 84 0.1 10 70.2 %
999995 Abigail (#76) 6.2 107 0.1 8 68.2 %
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