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
999952 Elizabeth (#1) 58.4 16 3.6 42 81.3 %
999951 Erin (#2) 66.1 15 4.4 45 73.3 %
999951 Alexis (#3) 61.5 42 1.5 16 78.6 %
999952 Ashley (#4) 61.0 34 1.8 20 76.5 %
999953 Olivia (#5) 56.5 15 3.8 50 80.0 %
999951 Brittany (#6) 60.7 39 1.6 17 79.5 %
999955 Courtney (#7) 54.0 21 2.6 32 81.0 %
999955 Dylan (#8) 54.0 21 2.6 33 81.0 %
999955 Christopher (#9) 55.7 33 1.7 21 78.8 %
999958 Cameron (#10) 51.8 28 1.9 25 78.6 %
999959 Cody (#11) 50.0 25 2.0 28 80.0 %
999958 David (#12) 58.0 24 2.4 30 70.8 %
999963 Megan (#13) 55.6 41 1.4 17 63.4 %
999963 Charles (#14) 45.2 24 1.9 28 79.2 %
999961 Richard (#15) 51.6 11 4.7 68 72.7 %
999963 Michelle (#16) 49.2 15 3.3 49 73.3 %
999965 Austin (#17) 42.2 27 1.6 25 81.5 %
999960 Danielle (#18) 43.7 9 4.9 58 88.9 %
999963 Allison (#19) 42.7 29 1.5 23 82.8 %
999969 Daniel (#20) 39.0 13 3.0 46 76.9 %
999969 Chelsea (#21) 38.5 17 2.3 36 76.5 %
999962 Samantha (#22) 50.8 11 4.6 69 72.7 %
999959 Anthony (#23) 53.8 43 1.3 16 74.4 %
999966 Melissa (#24) 50.6 28 1.8 24 64.3 %
999964 Christina (#25) 47.1 35 1.3 19 74.3 %
999966 Christian (#26) 40.2 11 3.6 48 81.8 %
999970 Emily (#27) 34.6 11 3.2 53 81.8 %
999964 Brianna (#28) 47.4 43 1.1 16 74.4 %
999965 Madison (#29) 43.4 33 1.3 21 78.8 %
999973 Alyssa (#30) 31.3 25 1.2 25 84.0 %
999967 Jose (#31) 44.9 42 1.1 17 71.4 %
999969 Mark (#32) 37.8 18 2.1 39 77.8 %
999974 Nicole (#33) 35.3 21 1.7 34 71.4 %
999968 Kayla (#34) 44.9 36 1.3 19 69.4 %
999974 Eric (#35) 29.9 6 5.0 84 83.3 %
999964 Alexandra (#36) 45.0 52 0.9 14 76.9 %
999976 Benjamin (#37) 28.9 20 1.5 30 80.0 %
999981 Kimberly (#38) 25.4 19 1.3 34 73.7 %
999973 Joseph (#39) 34.6 26 1.4 27 73.1 %
999984 Rebecca (#40) 23.9 18 1.3 40 61.1 %
999980 Morgan (#41) 28.8 14 2.1 46 64.3 %
999979 Haley (#42) 27.2 12 2.3 53 75.0 %
999978 Michael (#43) 29.8 21 1.4 34 71.4 %
999975 Kevin (#44) 33.6 23 1.5 31 69.6 %
999972 Kelsey (#45) 34.2 35 1.0 20 80.0 %
999979 Joshua (#46) 23.6 24 1.0 27 83.3 %
999986 Mary (#47) 20.4 15 1.3 43 66.7 %
999977 Anna (#48) 31.2 54 0.6 13 70.4 %
999989 Matthew (#49) 11.7 6 2.0 97 83.3 %
999980 Jordan (#50) 27.8 45 0.6 15 68.9 %
999978 Brian (#51) 32.1 51 0.6 14 64.7 %
999990 Juan (#52) 11.8 9 1.3 65 77.8 %
999976 Kaitlyn (#53) 35.7 72 0.5 11 65.3 %
999983 Justin (#54) 25.9 107 0.2 8 61.7 %
999989 Amanda (#55) 12.1 15 0.8 35 86.7 %
999990 Brandon (#56) 10.7 11 1.0 48 81.8 %
999977 Laura (#57) 35.9 73 0.5 11 60.3 %
999987 Maria (#58) 17.8 26 0.7 28 69.2 %
999979 Lauren (#59) 30.5 44 0.7 16 65.9 %
999997 Kyle (#60) 2.8 7 0.4 83 71.4 %
999984 Andrew (#61) 20.8 58 0.4 12 70.7 %
999989 Jonathan (#62) 16.4 55 0.3 13 63.6 %
999988 Amber (#63) 15.6 77 0.2 10 66.2 %
999988 Alexander (#64) 16.1 57 0.3 12 70.2 %
999988 John (#65) 16.8 77 0.2 10 63.6 %
999999 Patrick (#66) -0.3 8 0.0 80 75.0 %
999990 Katherine (#67) 13.8 46 0.3 15 65.2 %
1000000 Hannah (#68) -2.4 6 -0.3 97 66.7 %
1000003 Jessica (#69) -6.9 109 -0.1 7 62.4 %
1000009 Jesse (#70) -16.2 189 -0.1 5 61.4 %
999999 Adam (#71) -0.2 69 0.0 10 68.1 %
1000000 Abigail (#72) -0.9 91 -0.0 8 67.0 %
1000012 Aaron (#73) -19.3 113 -0.2 7 69.0 %
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