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
999960 Laura (#1) 58.3 39 1.5 10 66.7 %
999971 Kelsey (#2) 36.2 19 1.9 20 79.0 %
999975 John (#3) 34.3 42 0.8 10 71.4 %
999976 Kaitlyn (#4) 32.0 39 0.8 10 71.8 %
999981 Austin (#5) 22.4 16 1.4 23 81.3 %
999983 Courtney (#6) 21.7 11 2.0 33 72.7 %
999980 Kevin (#7) 23.9 15 1.6 25 80.0 %
999976 Maria (#8) 29.2 14 2.1 28 78.6 %
999980 Christopher (#9) 23.5 16 1.4 24 81.3 %
999981 Allison (#10) 20.9 19 1.1 20 84.2 %
999985 Mark (#11) 18.3 13 1.4 29 76.9 %
999979 Amanda (#12) 22.9 9 2.6 35 88.9 %
999980 Brittany (#13) 23.8 19 1.3 20 79.0 %
999983 Cameron (#14) 21.1 13 1.6 29 76.9 %
999979 Christina (#15) 26.5 17 1.5 22 76.5 %
999984 Cody (#16) 20.4 11 1.8 34 72.7 %
999983 Justin (#17) 24.0 54 0.4 8 66.7 %
999983 Alexander (#18) 20.9 31 0.7 13 77.4 %
999982 Anthony (#19) 20.9 24 0.9 16 79.2 %
999984 Joseph (#20) 18.9 16 1.2 25 81.3 %
999983 Jose (#21) 20.4 21 1.0 18 81.0 %
999984 Alyssa (#22) 19.4 16 1.2 22 81.3 %
999986 Benjamin (#23) 17.4 13 1.3 27 76.9 %
999985 Emily (#24) 18.8 7 2.7 51 71.4 %
999987 Jesse (#25) 21.1 91 0.2 5 59.3 %
999988 Charles (#26) 14.9 11 1.4 33 72.7 %
999985 Christian (#27) 16.7 6 2.8 52 83.3 %
999988 Dylan (#28) 14.9 11 1.4 34 72.7 %
999987 Nicholas (#29) 16.9 14 1.2 28 71.4 %
999986 Brandon (#30) 15.5 8 1.9 39 87.5 %
999987 Andrew (#31) 15.6 32 0.5 12 75.0 %
999989 Chelsea (#32) 13.6 10 1.4 35 70.0 %
999987 Adam (#33) 17.6 39 0.5 10 69.2 %
999987 Alexandra (#34) 15.6 27 0.6 15 77.8 %
999987 Madison (#35) 18.6 14 1.4 28 64.3 %
999993 Erin (#36) 10.6 7 1.6 51 57.1 %
999991 Michelle (#37) 12.2 9 1.3 44 66.7 %
999990 Daniel (#38) 12.4 8 1.5 43 75.0 %
999993 Mary (#39) 9.3 6 1.5 63 66.7 %
999989 Aaron (#40) 14.0 64 0.2 7 68.8 %
999989 Brianna (#41) 13.8 19 0.7 20 73.7 %
999990 Lauren (#42) 14.2 21 0.7 17 61.9 %
999987 Kayla (#43) 17.8 17 1.1 23 64.7 %
999991 David (#44) 12.4 9 1.3 43 66.7 %
999988 Melissa (#45) 15.4 14 1.1 27 71.4 %
999990 Abigail (#46) 13.1 48 0.3 9 66.7 %
999990 Amber (#47) 12.8 39 0.3 10 69.2 %
999993 Alexis (#48) 8.3 21 0.4 18 76.2 %
999990 Jonathan (#49) 13.3 30 0.4 13 66.7 %
999992 Michael (#50) 8.6 13 0.7 29 76.9 %
999996 Richard (#51) 3.8 7 0.6 57 71.4 %
999995 Joshua (#52) 5.6 10 0.6 36 60.0 %
999996 Elizabeth (#53) 5.5 7 0.7 50 57.1 %
999995 Olivia (#54) 6.9 7 1.0 56 57.1 %
999995 Katherine (#55) 5.8 25 0.2 15 68.0 %
999994 Brian (#56) 7.2 21 0.3 18 66.7 %
999998 Ashley (#57) 0.8 16 0.1 24 68.8 %
999996 Anna (#58) 4.0 23 0.2 17 65.2 %
999998 Jessica (#59) 0.8 53 0.0 8 60.4 %
999998 Megan (#60) 1.5 20 0.1 20 65.0 %
999998 Jordan (#61) 1.1 20 0.1 19 65.0 %
1000000 Nicole (#62) -1.2 10 -0.1 38 60.0 %
1000004 Rebecca (#63) -10.5 11 -0.9 33 54.6 %
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