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
999932 Dylan (#1) 84.0 35 2.4 34 80.0 %
999932 Melissa (#2) 88.8 52 1.7 25 75.0 %
999935 Christopher (#3) 82.1 54 1.5 23 77.8 %
999940 Jesse (#4) 94.0 368 0.3 5 62.5 %
999940 Brittany (#5) 77.1 61 1.3 20 77.1 %
999958 Ashley (#6) 55.7 53 1.1 23 73.6 %
999947 Samuel (#7) 63.6 11 5.8 106 81.8 %
999942 Cody (#8) 76.4 39 2.0 31 74.4 %
999945 Alexandra (#9) 68.4 93 0.7 14 79.6 %
999947 Jose (#10) 67.3 70 1.0 18 77.1 %
999948 Brianna (#11) 67.5 72 0.9 18 75.0 %
999959 Alexis (#12) 51.1 64 0.8 19 78.1 %
999952 David (#13) 69.0 38 1.8 33 68.4 %
999947 Michael (#14) 74.2 43 1.7 29 69.8 %
999946 Cameron (#15) 69.7 44 1.6 28 75.0 %
999936 Kelsey (#16) 81.8 61 1.3 21 77.1 %
999949 Megan (#17) 72.9 80 0.9 17 68.8 %
999946 Anthony (#18) 68.4 75 0.9 17 77.3 %
999952 Olivia (#19) 64.8 22 3.0 57 72.7 %
999947 Mark (#20) 64.8 36 1.8 34 80.6 %
999947 Christina (#21) 69.4 58 1.2 22 75.9 %
999938 Maria (#22) 81.1 48 1.7 26 75.0 %
999959 Nicole (#23) 58.8 35 1.7 36 68.6 %
999943 Amanda (#24) 63.1 26 2.4 35 88.5 %
999965 Heather (#25) 44.4 9 4.9 100 77.8 %
999956 Aaron (#26) 61.0 227 0.3 7 70.0 %
999954 Joshua (#27) 56.6 38 1.5 30 79.0 %
999949 Brandon (#28) 57.4 25 2.3 36 88.0 %
999961 Patrick (#29) 55.0 16 3.4 72 68.8 %
999954 Madison (#30) 62.8 55 1.2 24 70.9 %
999953 Kevin (#31) 61.9 47 1.3 26 74.5 %
999960 Richard (#32) 55.6 20 2.8 63 70.0 %
999960 Eric (#33) 43.0 11 3.9 79 90.9 %
999953 Courtney (#34) 60.5 31 1.9 36 77.4 %
999966 Samantha (#35) 45.4 18 2.5 68 72.2 %
999963 Nicholas (#36) 59.4 52 1.1 25 61.5 %
999960 Michelle (#37) 53.7 26 2.1 48 73.1 %
999964 Danielle (#38) 41.1 14 2.9 63 85.7 %
999958 Kimberly (#39) 57.4 32 1.8 35 71.9 %
999960 Christian (#40) 47.1 18 2.6 50 83.3 %
999964 Jennifer (#41) 40.0 8 5.0 112 87.5 %
999968 Elizabeth (#42) 43.8 24 1.8 46 70.8 %
999962 Mary (#43) 49.1 24 2.0 47 75.0 %
999971 Robert (#44) 41.0 13 3.2 88 69.2 %
999953 Justin (#45) 71.3 203 0.4 8 65.0 %
999968 Morgan (#46) 44.9 20 2.3 57 70.0 %
999951 Alyssa (#47) 56.0 47 1.2 22 85.1 %
999964 Erin (#48) 52.8 23 2.3 50 65.2 %
999969 Jasmine (#49) 42.5 7 6.0 130 71.4 %
999957 Allison (#50) 52.1 50 1.0 23 80.0 %
999965 Charles (#51) 44.7 36 1.3 32 75.0 %
999959 Kayla (#52) 57.5 62 0.9 21 69.4 %
999947 Laura (#53) 81.4 131 0.6 11 64.1 %
999954 Benjamin (#54) 55.2 37 1.5 28 81.1 %
999959 Lauren (#55) 59.4 81 0.7 16 67.9 %
999979 Rebecca (#56) 30.5 34 0.9 37 67.7 %
999962 Austin (#57) 48.0 42 1.1 27 76.2 %
999971 Haley (#58) 41.7 18 2.3 61 66.7 %
999965 James (#59) 40.0 13 3.1 75 84.6 %
999962 Emily (#60) 50.0 19 2.6 54 73.7 %
999974 Anna (#61) 36.3 88 0.4 15 70.5 %
999965 Joseph (#62) 46.2 51 0.9 24 74.5 %
999964 Chelsea (#63) 45.6 30 1.5 35 76.7 %
999970 Daniel (#64) 41.5 20 2.1 51 70.0 %
999965 Alexander (#65) 46.0 105 0.4 13 73.3 %
999962 Abigail (#66) 52.7 182 0.3 8 69.8 %
999968 Katherine (#67) 43.0 93 0.5 14 71.0 %
999974 Sarah (#68) 40.2 11 3.6 106 63.6 %
999965 Andrew (#69) 45.4 114 0.4 12 75.4 %
999962 John (#70) 54.7 146 0.4 10 66.4 %
999980 Jacob (#71) 28.2 12 2.3 88 66.7 %
999975 Jordan (#72) 34.5 77 0.4 17 71.4 %
999985 Nathan (#73) 18.7 8 2.4 124 75.0 %
999967 Jonathan (#74) 46.2 108 0.4 12 70.4 %
999985 Rachel (#75) 18.8 7 2.7 143 71.4 %
999977 Hannah (#76) 32.8 12 2.8 83 66.7 %
999967 Adam (#77) 44.8 140 0.3 10 70.7 %
999981 Brian (#78) 26.2 81 0.3 16 67.9 %
999984 Kyle (#79) 19.2 15 1.3 66 80.0 %
999986 Jason (#80) 19.7 8 2.5 125 62.5 %
999978 Jessica (#81) 35.1 205 0.2 7 59.5 %
999987 Matthew (#82) 15.7 11 1.5 90 72.7 %
999985 Juan (#83) 17.3 16 1.1 62 81.3 %
999977 Amber (#84) 32.1 144 0.2 10 70.1 %
999971 Kaitlyn (#85) 42.0 134 0.3 11 67.2 %
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