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
999955 Jesse (#1) 66.7 186 0.4 4 66.1 %
999944 Samuel (#2) 55.3 6 9.2 86 100.0 %
999967 Rebecca (#3) 42.1 17 2.5 33 76.5 %
999966 Jose (#4) 43.3 33 1.3 17 75.8 %
999960 Dylan (#5) 48.2 16 3.0 34 81.3 %
999958 Heather (#6) 40.6 6 6.8 68 100.0 %
999971 Alexis (#7) 37.1 28 1.3 19 75.0 %
999971 Christopher (#8) 38.4 26 1.5 21 73.1 %
999956 Sarah (#9) 52.4 6 8.7 104 83.3 %
999964 Danielle (#10) 34.8 8 4.4 52 100.0 %
999964 Olivia (#11) 39.1 10 3.9 57 90.0 %
999963 Eric (#12) 36.1 6 6.0 66 100.0 %
999967 Aaron (#13) 42.5 111 0.4 6 75.7 %
999975 Brittany (#14) 33.6 28 1.2 19 71.4 %
999972 Samantha (#15) 36.0 8 4.5 72 75.0 %
999974 Richard (#16) 32.6 8 4.1 73 75.0 %
999980 Melissa (#17) 30.4 22 1.4 27 63.6 %
999977 Ashley (#18) 31.9 23 1.4 23 69.6 %
999972 Alexandra (#19) 35.0 40 0.9 14 77.5 %
999970 Christian (#20) 31.5 11 2.9 39 90.9 %
999971 Kyle (#21) 31.0 11 2.8 39 90.9 %
999966 Joshua (#22) 36.7 19 2.0 28 89.5 %
999973 Morgan (#23) 33.2 10 3.3 52 80.0 %
999970 Mary (#24) 34.7 12 2.9 42 83.3 %
999971 Matthew (#25) 28.0 8 3.5 53 100.0 %
999977 Elizabeth (#26) 28.3 10 2.8 50 80.0 %
999973 John (#27) 35.9 69 0.5 9 71.0 %
999970 Kimberly (#28) 36.1 16 2.3 32 81.3 %
999973 Mark (#29) 32.8 15 2.2 37 80.0 %
999979 Nicole (#30) 29.7 15 2.0 37 66.7 %
999972 Robert (#31) 32.0 6 5.3 86 83.3 %
999979 Anthony (#32) 28.1 30 0.9 18 70.0 %
999971 Nathan (#33) 27.7 6 4.7 70 100.0 %
999972 Amanda (#34) 29.2 15 1.9 28 93.3 %
999982 David (#35) 27.3 17 1.6 32 64.7 %
999973 Emily (#36) 28.7 9 3.2 50 88.9 %
999975 Juan (#37) 26.5 11 2.4 39 90.9 %
999973 Brandon (#38) 27.7 12 2.3 35 91.7 %
999975 Patrick (#39) 26.6 8 3.4 65 87.5 %
999979 Megan (#40) 28.7 31 0.9 19 67.7 %
999981 Cody (#41) 26.0 17 1.5 32 70.6 %
999978 Haley (#42) 27.6 8 3.5 61 75.0 %
999981 Allison (#43) 25.4 19 1.3 27 73.7 %
999976 Courtney (#44) 29.8 13 2.3 39 76.9 %
999981 Charles (#45) 24.6 18 1.4 28 72.2 %
999981 Brianna (#46) 26.4 33 0.8 17 69.7 %
999980 Daniel (#47) 25.2 9 2.8 52 77.8 %
999982 Kelsey (#48) 23.5 25 0.9 22 72.0 %
999982 Christina (#49) 23.9 25 1.0 22 72.0 %
999982 Erin (#50) 25.0 10 2.5 53 70.0 %
999981 Jessica (#51) 28.6 100 0.3 7 62.0 %
999979 Justin (#52) 31.6 97 0.3 7 62.9 %
999984 Cameron (#53) 22.2 18 1.2 30 66.7 %
999985 Michael (#54) 22.1 17 1.3 32 64.7 %
999980 Chelsea (#55) 25.5 12 2.1 40 75.0 %
999978 Alyssa (#56) 25.3 20 1.3 23 85.0 %
999982 Michelle (#57) 23.2 11 2.1 50 72.7 %
999986 Joseph (#58) 20.3 19 1.1 29 63.2 %
999984 Austin (#59) 21.0 17 1.2 30 70.6 %
999985 Kevin (#60) 20.9 17 1.2 32 64.7 %
999985 Madison (#61) 19.6 23 0.9 25 69.6 %
999985 Anna (#62) 21.4 40 0.5 15 67.5 %
999983 Benjamin (#63) 20.2 14 1.4 33 78.6 %
999985 Maria (#64) 19.7 20 1.0 28 70.0 %
999990 Nicholas (#65) 15.0 24 0.6 23 58.3 %
999983 Abigail (#66) 21.7 86 0.3 8 70.9 %
999986 Kaitlyn (#67) 19.1 62 0.3 10 67.7 %
999987 Amber (#68) 17.0 68 0.3 9 72.1 %
999990 Kayla (#69) 13.6 24 0.6 23 62.5 %
999991 Alexander (#70) 11.2 45 0.2 13 68.9 %
999993 Jordan (#71) 8.5 32 0.3 18 65.6 %
999991 Andrew (#72) 11.3 51 0.2 12 72.6 %
999996 Laura (#73) 5.4 63 0.1 11 63.5 %
999995 Brian (#74) 5.9 37 0.2 15 62.2 %
999993 Adam (#75) 7.9 63 0.1 10 73.0 %
999996 Katherine (#76) 4.0 40 0.1 15 62.5 %
999999 Jonathan (#77) 0.4 48 0.0 13 66.7 %
1000002 Lauren (#78) -5.6 34 -0.2 17 55.9 %
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