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
999951 Megan (#1) 68.7 45 1.5 14 68.9 %
999954 Michael (#2) 61.5 19 3.2 30 73.7 %
999960 Lauren (#3) 53.6 44 1.2 15 72.7 %
999965 Jesse (#4) 54.9 190 0.3 4 62.1 %
999963 David (#5) 49.0 19 2.6 29 73.7 %
999960 Olivia (#6) 48.7 10 4.9 55 80.0 %
999964 Katherine (#7) 46.2 50 0.9 13 76.0 %
999960 Maria (#8) 50.2 23 2.2 25 78.3 %
999959 Dylan (#9) 47.3 14 3.4 37 85.7 %
999958 Melissa (#10) 49.3 25 2.0 24 84.0 %
999961 Richard (#11) 48.7 9 5.4 59 77.8 %
999956 Joshua (#12) 47.8 18 2.7 26 88.9 %
999963 Jonathan (#13) 47.3 57 0.8 12 77.2 %
999962 Nicole (#14) 49.6 16 3.1 36 75.0 %
999957 Kimberly (#15) 48.4 17 2.8 27 88.2 %
999962 Erin (#16) 44.9 11 4.1 45 81.8 %
999963 Cody (#17) 45.6 19 2.4 28 79.0 %
999962 Brandon (#18) 40.0 14 2.9 28 92.9 %
999963 Samantha (#19) 40.8 9 4.6 57 88.9 %
999963 Amanda (#20) 38.6 14 2.8 28 92.9 %
999969 Kayla (#21) 40.2 33 1.2 19 75.8 %
999964 Mark (#22) 39.6 16 2.5 34 87.5 %
999969 Cameron (#23) 39.5 21 1.9 26 76.2 %
999966 Courtney (#24) 38.9 14 2.8 35 85.7 %
999967 Mary (#25) 38.2 13 2.9 35 84.6 %
999970 Christopher (#26) 37.0 22 1.7 26 77.3 %
999971 Madison (#27) 37.0 29 1.3 21 75.9 %
999965 Benjamin (#28) 38.4 19 2.0 24 89.5 %
999969 Michelle (#29) 37.4 11 3.4 49 81.8 %
999974 Robert (#30) 37.7 6 6.3 74 66.7 %
999968 Abigail (#31) 42.9 94 0.5 8 71.3 %
999968 Brianna (#32) 38.9 35 1.1 18 80.0 %
999969 Jordan (#33) 36.8 41 0.9 15 80.5 %
999973 Justin (#34) 40.4 102 0.4 8 64.7 %
999971 Elizabeth (#35) 34.4 12 2.8 39 83.3 %
999969 Eric (#36) 29.6 6 5.0 60 100.0 %
999972 Ashley (#37) 33.8 23 1.5 23 78.3 %
999966 Alyssa (#38) 35.8 22 1.6 21 90.9 %
999970 Chelsea (#39) 33.4 16 2.1 28 87.5 %
999971 Haley (#40) 36.4 9 4.0 50 77.8 %
999972 James (#41) 32.0 7 4.6 56 85.7 %
999973 Morgan (#42) 32.4 10 3.2 46 80.0 %
999971 Kelsey (#43) 34.6 25 1.4 23 80.0 %
999973 Brittany (#44) 33.4 25 1.3 23 80.0 %
999978 Nicholas (#45) 33.8 23 1.5 26 60.9 %
999975 Patrick (#46) 32.9 7 4.7 66 71.4 %
999975 Jacob (#47) 33.3 7 4.7 61 71.4 %
999972 Alexandra (#48) 32.9 42 0.8 14 83.3 %
999974 Andrew (#49) 32.1 58 0.6 12 77.6 %
999975 Christina (#50) 30.7 26 1.2 23 76.9 %
999974 Kevin (#51) 32.2 24 1.3 22 79.2 %
999973 Anthony (#52) 32.0 33 1.0 17 81.8 %
999977 Hannah (#53) 30.7 7 4.4 57 71.4 %
999977 Christian (#54) 25.2 9 2.8 42 88.9 %
999977 Adam (#55) 31.3 68 0.5 10 72.1 %
999978 Daniel (#56) 27.7 8 3.5 55 75.0 %
999976 Emily (#57) 28.9 9 3.2 47 77.8 %
999979 Jessica (#58) 32.7 104 0.3 7 59.6 %
999981 Laura (#59) 27.3 62 0.4 12 66.1 %
999978 Aaron (#60) 31.2 110 0.3 7 68.2 %
999977 Allison (#61) 26.8 22 1.2 23 81.8 %
999981 Danielle (#62) 20.7 7 3.0 53 85.7 %
999984 John (#63) 23.3 72 0.3 10 65.3 %
999983 Kaitlyn (#64) 22.8 65 0.4 11 70.8 %
999982 Joseph (#65) 22.7 25 0.9 21 76.0 %
999983 Anna (#66) 22.1 43 0.5 15 72.1 %
999982 Rebecca (#67) 23.8 14 1.7 41 71.4 %
999982 Charles (#68) 21.3 17 1.2 29 82.4 %
999984 Kyle (#69) 16.5 10 1.7 39 90.0 %
999986 Brian (#70) 19.2 41 0.5 16 70.7 %
999984 Jose (#71) 21.2 26 0.8 21 73.1 %
999984 Amber (#72) 21.3 71 0.3 10 71.8 %
999983 Austin (#73) 19.8 18 1.1 28 77.8 %
999989 Matthew (#74) 12.8 8 1.6 49 75.0 %
999985 Alexis (#75) 17.4 26 0.7 21 80.8 %
999987 Juan (#76) 13.2 10 1.3 40 90.0 %
999986 Alexander (#77) 18.1 49 0.4 13 71.4 %
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