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
999953 David (#1) 64.8 24 2.7 30 70.8 %
999952 Danielle (#2) 51.8 11 4.7 61 90.9 %
999958 Melissa (#3) 58.1 30 1.9 26 70.0 %
999955 Christian (#4) 50.6 14 3.6 48 85.7 %
999957 Heather (#5) 42.4 7 6.0 94 100.0 %
999960 Eric (#6) 44.8 8 5.6 82 87.5 %
999951 Dylan (#7) 59.1 22 2.7 33 81.8 %
999964 Morgan (#8) 47.7 15 3.2 44 73.3 %
999960 Alexis (#9) 48.5 39 1.3 18 79.5 %
999956 Olivia (#10) 48.9 16 3.1 47 87.5 %
999962 Christopher (#11) 49.2 34 1.4 21 76.5 %
999966 Emily (#12) 38.9 13 3.0 49 84.6 %
999959 Jose (#13) 51.7 43 1.2 17 76.7 %
999967 Mary (#14) 41.6 17 2.5 39 76.5 %
999969 Elizabeth (#15) 38.2 14 2.7 48 78.6 %
999971 Sarah (#16) 44.9 8 5.6 92 62.5 %
999961 Courtney (#17) 48.0 20 2.4 34 80.0 %
999963 Ashley (#18) 48.4 32 1.5 22 75.0 %
999972 Nicholas (#19) 46.0 32 1.4 23 59.4 %
999964 Michelle (#20) 46.6 16 2.9 46 75.0 %
999968 Justin (#21) 49.5 128 0.4 7 63.3 %
999972 Daniel (#22) 35.4 13 2.7 50 76.9 %
999973 Haley (#23) 35.7 11 3.3 59 72.7 %
999964 Brittany (#24) 46.3 37 1.2 19 75.7 %
999971 Charles (#25) 36.1 26 1.4 27 76.9 %
999959 Alexandra (#26) 49.2 55 0.9 14 81.8 %
999971 Chelsea (#27) 36.4 17 2.1 39 76.5 %
999970 Cody (#28) 38.1 25 1.5 29 76.0 %
999967 Erin (#29) 43.9 15 2.9 46 73.3 %
999971 Kimberly (#30) 36.7 21 1.8 32 76.2 %
999972 Cameron (#31) 37.5 26 1.4 27 73.1 %
999979 Nathan (#32) 23.1 7 3.3 96 85.7 %
999975 Nicole (#33) 34.4 21 1.6 35 71.4 %
999965 Anthony (#34) 44.4 42 1.1 17 76.2 %
999973 Allison (#35) 32.6 28 1.2 25 78.6 %
999969 Joshua (#36) 36.0 26 1.4 26 84.6 %
999969 Christina (#37) 39.3 34 1.2 21 76.5 %
999977 Samuel (#38) 26.3 7 3.7 90 85.7 %
999967 Mark (#39) 40.4 21 1.9 35 81.0 %
999984 Jason (#40) 22.5 6 3.7 99 66.7 %
999980 Amanda (#41) 21.4 18 1.2 37 88.9 %
999980 Brandon (#42) 22.4 15 1.5 44 86.7 %
999971 Kelsey (#43) 36.2 35 1.0 21 77.1 %
999978 Jesse (#44) 31.5 234 0.1 5 64.5 %
999970 Brianna (#45) 39.5 44 0.9 17 75.0 %
999978 Austin (#46) 27.5 26 1.0 26 76.9 %
999983 Patrick (#47) 20.0 10 2.0 64 80.0 %
999987 Matthew (#48) 14.5 9 1.6 76 88.9 %
999973 Megan (#49) 39.1 42 0.9 18 66.7 %
999979 Joseph (#50) 28.6 27 1.1 27 70.4 %
999976 Kevin (#51) 31.9 25 1.3 29 72.0 %
999970 Kayla (#52) 40.7 34 1.2 21 70.6 %
999977 Alyssa (#53) 25.5 25 1.0 26 84.0 %
999976 Samantha (#54) 32.2 11 2.9 66 72.7 %
999973 John (#55) 38.4 92 0.4 9 68.5 %
999979 Richard (#56) 28.3 11 2.6 69 72.7 %
999987 Juan (#57) 13.6 13 1.1 52 84.6 %
999987 James (#58) 14.1 6 2.3 101 83.3 %
999989 Kyle (#59) 12.3 12 1.0 57 83.3 %
999982 Benjamin (#60) 20.7 19 1.1 34 79.0 %
999978 Jordan (#61) 28.7 43 0.7 17 72.1 %
999977 Madison (#62) 31.1 32 1.0 24 71.9 %
999985 Michael (#63) 21.3 21 1.0 35 66.7 %
999978 Anna (#64) 30.1 55 0.6 14 70.9 %
999993 Robert (#65) 8.4 7 1.1 89 71.4 %
999993 Hannah (#66) 8.4 7 1.1 88 71.4 %
999991 Jessica (#67) 11.7 130 0.1 7 63.1 %
999997 Jacob (#68) 3.1 6 0.5 104 66.7 %
999976 Kaitlyn (#69) 35.2 81 0.4 10 66.7 %
999986 Maria (#70) 18.1 27 0.7 27 70.4 %
999984 Brian (#71) 21.5 53 0.4 14 67.9 %
999984 Amber (#72) 20.5 90 0.2 9 71.1 %
1000001 Rebecca (#73) -2.7 20 -0.2 36 65.0 %
999988 Alexander (#74) 15.0 61 0.3 13 72.1 %
999983 Laura (#75) 25.4 82 0.3 11 62.2 %
999984 Andrew (#76) 19.6 69 0.3 12 73.9 %
1000000 Aaron (#77) -1.3 137 -0.0 7 73.0 %
999992 Abigail (#78) 9.6 110 0.1 8 70.0 %
999994 Katherine (#79) 8.2 52 0.2 15 67.3 %
999991 Lauren (#80) 12.3 47 0.3 16 63.8 %
999998 Adam (#81) 1.8 83 0.0 10 72.3 %
999996 Jonathan (#82) 4.1 63 0.1 13 68.3 %
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