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 "Mgm Resorts International (MGM)"

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    Please select the "Detailed View" button to see how it performs!

Find The Lastest Buy Signals for MGM Below.



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Algorithms Results since Jan/2010


  to  
Sort Factor Algorithm % Result # Trades % Result/Trade Days/Trade Hit % Detailed View
999924 Richard (#1) 98.1 13 7.5 56 76.9 %
999946 Charles (#2) 63.6 23 2.8 31 82.6 %
999939 Courtney (#3) 73.4 17 4.3 42 82.4 %
999954 Nicole (#4) 74.9 20 3.8 38 60.0 %
999953 Samantha (#5) 68.8 12 5.8 62 66.7 %
999956 Cody (#6) 52.9 22 2.4 34 81.8 %
999956 Mark (#7) 57.6 20 2.9 37 75.0 %
999954 David (#8) 57.2 23 2.5 32 78.3 %
999961 Nicholas (#9) 56.0 31 1.8 24 67.7 %
999947 Dylan (#10) 66.9 18 3.7 42 77.8 %
999940 Olivia (#11) 76.6 13 5.9 56 76.9 %
999951 Robert (#12) 66.6 7 9.6 97 71.4 %
999946 Jason (#13) 63.8 6 10.7 109 83.3 %
999956 Michelle (#14) 58.1 16 3.6 47 75.0 %
999952 Jacob (#15) 58.7 10 5.9 67 80.0 %
999960 Maria (#16) 54.5 28 2.0 27 71.4 %
999962 Michael (#17) 51.4 22 2.3 34 72.7 %
999963 Austin (#18) 45.2 26 1.7 28 80.8 %
999964 Kevin (#19) 42.1 23 1.8 32 82.6 %
999955 Erin (#20) 51.6 13 4.0 55 84.6 %
999962 Morgan (#21) 50.3 12 4.2 58 75.0 %
999968 Melissa (#22) 45.4 28 1.6 26 67.9 %
999958 Samuel (#23) 58.0 7 8.3 96 71.4 %
999961 Elizabeth (#24) 49.9 13 3.9 53 76.9 %
999969 Danielle (#25) 41.7 7 6.0 93 71.4 %
999972 Emily (#26) 35.7 12 3.0 55 75.0 %
999977 Mary (#27) 27.7 13 2.2 53 76.9 %
999963 Patrick (#28) 47.9 8 6.0 87 75.0 %
999966 Christopher (#29) 43.9 28 1.6 26 75.0 %
999972 Cameron (#30) 35.6 25 1.4 30 76.0 %
999974 Alyssa (#31) 29.9 24 1.3 29 83.3 %
999979 Haley (#32) 29.9 9 3.3 75 66.7 %
999976 Benjamin (#33) 27.6 16 1.8 42 81.3 %
999985 Daniel (#34) 20.0 10 2.0 66 70.0 %
999978 Kelsey (#35) 30.0 31 1.0 24 71.0 %
999984 Allison (#36) 19.2 26 0.7 27 80.8 %
999980 Jose (#37) 26.3 36 0.7 21 75.0 %
999978 Ashley (#38) 28.5 30 1.0 24 73.3 %
999987 Brittany (#39) 18.0 30 0.6 25 66.7 %
999986 Jordan (#40) 20.8 42 0.5 18 64.3 %
999987 Joshua (#41) 16.8 17 1.0 41 70.6 %
999987 Christian (#42) 21.1 7 3.0 85 57.1 %
999982 Joseph (#43) 20.3 27 0.7 28 85.2 %
999980 Hannah (#44) 28.3 6 4.7 109 66.7 %
999985 Alexis (#45) 18.1 33 0.6 22 75.8 %
999992 Kimberly (#46) 9.6 16 0.6 44 68.8 %
999990 Brandon (#47) 15.4 8 1.9 74 62.5 %
999988 Chelsea (#48) 16.6 12 1.4 55 66.7 %
999985 Megan (#49) 21.8 37 0.6 19 62.2 %
999992 Madison (#50) 11.0 31 0.4 24 64.5 %
999994 Amanda (#51) 8.6 9 1.0 65 55.6 %
999994 Christina (#52) 6.7 32 0.2 23 65.6 %
999993 Alexandra (#53) 8.0 44 0.2 17 75.0 %
999996 Anthony (#54) 4.6 37 0.1 20 67.6 %
999990 Brianna (#55) 12.9 36 0.4 20 69.4 %
1000000 Laura (#56) -1.1 62 -0.0 12 51.6 %
999998 Lauren (#57) 1.0 39 0.0 18 53.9 %
999996 Kayla (#58) 4.1 36 0.1 20 63.9 %
999991 Rebecca (#59) 14.1 18 0.8 41 55.6 %
1000009 Alexander (#60) -15.4 49 -0.3 15 65.3 %
1000005 Jonathan (#61) -9.6 47 -0.2 15 59.6 %
1000007 Katherine (#62) -11.7 42 -0.3 17 66.7 %
1000014 Anna (#63) -22.3 45 -0.5 16 66.7 %
1000004 Jesse (#64) -8.6 175 -0.1 5 56.0 %
1000006 Kaitlyn (#65) -11.9 61 -0.2 12 57.4 %
1000016 Brian (#66) -27.2 43 -0.6 17 62.8 %
1000020 Andrew (#67) -37.6 50 -0.8 15 56.0 %
1000022 John (#68) -38.2 66 -0.6 11 60.6 %
1000024 Abigail (#69) -40.5 82 -0.5 9 62.2 %
1000026 Aaron (#70) -46.2 106 -0.4 7 59.4 %
1000025 Justin (#71) -46.6 92 -0.5 8 55.4 %
1000025 Jessica (#72) -50.4 92 -0.5 8 51.1 %
1000034 Adam (#73) -60.8 56 -1.1 13 57.1 %
1000032 Amber (#74) -55.8 63 -0.9 12 58.7 %
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