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
999931 Erin (#1) 74.1 12 6.2 35 91.7 %
999946 Elizabeth (#2) 58.0 12 4.8 34 91.7 %
999948 Courtney (#3) 57.7 16 3.6 26 87.5 %
999952 Olivia (#4) 56.8 12 4.8 41 83.3 %
999961 Chelsea (#5) 44.3 14 3.1 27 85.7 %
999962 Megan (#6) 57.0 31 1.8 16 64.5 %
999952 Richard (#7) 54.3 8 6.8 61 87.5 %
999956 Michelle (#8) 53.0 11 4.8 42 81.8 %
999953 David (#9) 56.8 16 3.6 29 81.3 %
999959 Cameron (#10) 47.4 20 2.4 22 85.0 %
999958 Cody (#11) 46.2 18 2.6 25 88.9 %
999962 Daniel (#12) 40.6 10 4.1 36 90.0 %
999960 Allison (#13) 43.3 22 2.0 19 90.9 %
999962 Austin (#14) 41.3 21 2.0 20 90.5 %
999961 Charles (#15) 42.6 18 2.4 23 88.9 %
999957 Brittany (#16) 49.4 27 1.8 17 85.2 %
999959 Kaitlyn (#17) 56.2 54 1.0 10 72.2 %
999971 Kimberly (#18) 33.3 14 2.4 27 85.7 %
999971 Justin (#19) 44.9 84 0.5 7 63.1 %
999961 Kayla (#20) 51.1 28 1.8 18 75.0 %
999958 Madison (#21) 47.6 26 1.9 19 84.6 %
999968 Alyssa (#22) 35.4 18 1.9 21 88.9 %
999962 Christina (#23) 45.7 25 1.8 19 80.0 %
999962 Ashley (#24) 45.2 22 2.1 20 81.8 %
999960 Samantha (#25) 43.7 8 5.5 60 87.5 %
999969 Benjamin (#26) 33.8 16 2.1 24 87.5 %
999965 Dylan (#27) 39.6 13 3.1 34 84.6 %
999962 Christopher (#28) 42.6 21 2.1 22 85.7 %
999966 Mark (#29) 39.3 13 3.0 34 84.6 %
999970 Nicole (#30) 36.4 15 2.4 32 80.0 %
999971 Emily (#31) 32.3 8 4.0 43 87.5 %
999968 Christian (#32) 35.0 8 4.4 41 87.5 %
999970 Danielle (#33) 34.9 6 5.8 54 83.3 %
999967 Joseph (#34) 37.7 19 2.0 23 84.2 %
999966 Alexis (#35) 39.6 27 1.5 17 81.5 %
999972 Haley (#36) 29.9 9 3.3 42 88.9 %
999963 Anthony (#37) 45.1 31 1.5 15 80.7 %
999978 Morgan (#38) 30.4 10 3.0 36 70.0 %
999972 Michael (#39) 31.8 14 2.3 35 85.7 %
999971 Melissa (#40) 39.6 20 2.0 24 70.0 %
999968 Brianna (#41) 39.5 30 1.3 16 80.0 %
999970 Kevin (#42) 35.1 17 2.1 26 82.4 %
999975 Joshua (#43) 27.1 16 1.7 23 87.5 %
999988 Rebecca (#44) 18.6 12 1.6 41 58.3 %
999970 Laura (#45) 45.3 55 0.8 10 63.6 %
999973 Jordan (#46) 33.7 33 1.0 15 75.8 %
999982 Mary (#47) 22.5 11 2.1 33 72.7 %
999970 Kelsey (#48) 32.7 23 1.4 20 87.0 %
999970 Lauren (#49) 40.8 34 1.2 15 70.6 %
999981 Maria (#50) 24.2 19 1.3 26 73.7 %
999976 Jose (#51) 32.4 27 1.2 18 70.4 %
999979 Jonathan (#52) 30.0 42 0.7 12 66.7 %
999973 Alexandra (#53) 32.4 37 0.9 13 81.1 %
999977 Brian (#54) 33.5 38 0.9 13 65.8 %
999989 Juan (#55) 12.4 7 1.7 49 85.7 %
999980 John (#56) 28.9 58 0.5 9 65.5 %
999981 Amber (#57) 27.1 57 0.5 9 68.4 %
999989 Jessica (#58) 14.7 85 0.2 7 65.9 %
999989 Amanda (#59) 10.6 12 0.9 28 91.7 %
999979 Andrew (#60) 27.8 43 0.7 12 72.1 %
999979 Anna (#61) 26.9 40 0.7 12 72.5 %
999983 Katherine (#62) 24.5 35 0.7 14 68.6 %
999984 Nicholas (#63) 28.4 19 1.5 26 52.6 %
999991 Brandon (#64) 8.8 8 1.1 41 87.5 %
999990 Adam (#65) 12.6 51 0.3 10 70.6 %
999988 Alexander (#66) 16.4 41 0.4 12 70.7 %
1000003 Jesse (#67) -5.8 141 -0.0 5 61.0 %
999992 Abigail (#68) 9.6 67 0.2 8 67.2 %
1000007 Aaron (#69) -12.1 85 -0.1 7 68.2 %
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