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
999966 Danielle (#1) 38.4 8 4.8 65 87.5 %
999969 David (#2) 44.9 18 2.5 30 66.7 %
999973 Christian (#3) 33.4 9 3.7 57 77.8 %
999974 Eric (#4) 29.9 6 5.0 84 83.3 %
999972 Melissa (#5) 41.6 20 2.1 26 65.0 %
999971 Alexis (#6) 35.8 31 1.2 17 77.4 %
999983 Emily (#7) 20.2 9 2.2 57 77.8 %
999983 Elizabeth (#8) 22.6 10 2.3 54 70.0 %
999985 Morgan (#9) 21.7 11 2.0 49 63.6 %
999977 Christopher (#10) 30.6 25 1.2 21 72.0 %
999982 Nicholas (#11) 32.3 22 1.5 23 54.6 %
999980 Dylan (#12) 26.3 16 1.6 34 75.0 %
999977 Ashley (#13) 30.6 24 1.3 22 70.8 %
999988 Daniel (#14) 17.2 9 1.9 58 66.7 %
999981 Olivia (#15) 22.1 11 2.0 51 81.8 %
999978 Jose (#16) 28.5 30 0.9 18 73.3 %
999990 Mary (#17) 14.4 11 1.3 49 63.6 %
999985 Cameron (#18) 20.4 19 1.1 28 68.4 %
999979 Brittany (#19) 27.5 27 1.0 19 74.1 %
999984 Courtney (#20) 21.3 14 1.5 38 71.4 %
999990 Haley (#21) 14.1 8 1.8 65 62.5 %
999984 Cody (#22) 19.7 19 1.1 28 73.7 %
999987 Charles (#23) 17.4 17 1.0 31 70.6 %
999985 Michelle (#24) 21.8 11 2.0 50 63.6 %
999986 Erin (#25) 22.4 10 2.2 53 60.0 %
999978 Alexandra (#26) 27.0 38 0.7 14 79.0 %
999991 Chelsea (#27) 12.0 11 1.1 48 63.6 %
999978 Anthony (#28) 27.5 30 0.9 17 73.3 %
999988 Allison (#29) 14.0 20 0.7 27 75.0 %
999996 Amanda (#30) 3.8 12 0.3 43 83.3 %
999986 Christina (#31) 19.0 24 0.8 20 70.8 %
999991 Nicole (#32) 11.9 15 0.8 34 66.7 %
999997 Brandon (#33) 3.4 9 0.3 57 77.8 %
999992 Austin (#34) 10.2 18 0.6 29 72.2 %
999986 Kelsey (#35) 17.0 25 0.7 21 76.0 %
999999 Juan (#36) -0.2 7 0.0 78 71.4 %
999998 Kimberly (#37) 1.9 13 0.2 42 61.5 %
999990 Samantha (#38) 14.0 8 1.8 70 62.5 %
999992 Joseph (#39) 10.7 18 0.6 31 66.7 %
999986 Brianna (#40) 18.2 31 0.6 16 71.0 %
999988 Megan (#41) 18.1 27 0.7 19 63.0 %
1000000 Patrick (#42) -2.0 7 -0.3 74 71.4 %
1000001 Kyle (#43) -3.1 6 -0.5 91 66.7 %
999992 Kevin (#44) 11.3 17 0.7 32 64.7 %
999992 Mark (#45) 9.8 13 0.8 42 69.2 %
999997 Joshua (#46) 3.0 18 0.2 30 77.8 %
999993 Richard (#47) 10.4 8 1.3 70 62.5 %
999988 Kayla (#48) 16.9 23 0.7 22 65.2 %
999993 Justin (#49) 10.2 79 0.1 8 60.8 %
999992 Jordan (#50) 9.5 30 0.3 16 66.7 %
999999 Alyssa (#51) -0.3 15 0.0 35 73.3 %
999996 Michael (#52) 4.2 14 0.3 37 64.3 %
1000000 Benjamin (#53) -1.2 12 -0.1 43 66.7 %
999991 Anna (#54) 11.0 37 0.3 14 70.3 %
999993 Madison (#55) 9.3 20 0.5 25 70.0 %
999995 John (#56) 5.9 59 0.1 10 64.4 %
999993 Brian (#57) 8.1 37 0.2 14 70.3 %
1000002 Maria (#58) -4.6 18 -0.3 29 66.7 %
999993 Laura (#59) 9.9 53 0.2 11 58.5 %
999994 Kaitlyn (#60) 8.4 53 0.2 11 62.3 %
1000000 Alexander (#61) -2.4 41 -0.1 13 73.2 %
1000009 Rebecca (#62) -19.3 13 -1.5 40 53.9 %
1000002 Amber (#63) -3.7 56 -0.1 10 66.1 %
1000002 Andrew (#64) -3.7 42 -0.1 13 71.4 %
1000013 Jessica (#65) -22.6 80 -0.3 8 62.5 %
1000000 Lauren (#66) -2.4 29 -0.1 18 62.1 %
1000020 Jesse (#67) -35.2 143 -0.2 5 60.8 %
1000008 Jonathan (#68) -13.9 38 -0.4 14 65.8 %
1000010 Abigail (#69) -17.1 67 -0.3 9 65.7 %
1000008 Katherine (#70) -14.5 31 -0.5 16 67.7 %
1000014 Adam (#71) -22.2 50 -0.4 11 68.0 %
1000025 Aaron (#72) -37.9 82 -0.5 7 68.3 %
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