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
999892 Eric (#1) 106.8 8 13.4 44 100.0 %
999901 Danielle (#2) 98.0 10 9.8 38 100.0 %
999898 Heather (#3) 100.9 6 16.8 57 100.0 %
999928 Brandon (#4) 83.3 14 5.9 27 85.7 %
999925 Amanda (#5) 85.3 15 5.7 26 86.7 %
999922 Christian (#6) 85.4 11 7.7 35 90.9 %
999935 Nicole (#7) 91.2 10 9.1 38 70.0 %
999953 Samantha (#8) 83.1 9 9.2 43 55.6 %
999942 Richard (#9) 68.4 6 11.3 61 83.3 %
999940 Olivia (#10) 69.0 7 9.9 53 85.7 %
999966 Elizabeth (#11) 46.0 7 6.6 56 71.4 %
999964 Nicholas (#12) 51.6 15 3.5 25 66.7 %
999971 Haley (#13) 42.3 6 7.0 65 66.7 %
999970 Morgan (#14) 44.0 6 7.3 65 66.7 %
999972 Michelle (#15) 42.7 8 5.4 46 62.5 %
999960 Erin (#16) 44.7 7 6.4 55 85.7 %
999967 Benjamin (#17) 38.7 11 3.6 37 81.8 %
999978 Chelsea (#18) 31.7 9 3.6 44 66.7 %
999966 Rebecca (#19) 55.2 10 5.5 37 60.0 %
999973 Kelsey (#20) 31.8 15 2.1 26 80.0 %
999976 Cody (#21) 27.9 12 2.3 32 83.3 %
999975 Courtney (#22) 31.1 9 3.4 44 77.8 %
999973 Michael (#23) 35.4 12 2.9 31 75.0 %
999978 Charles (#24) 26.3 10 2.6 39 80.0 %
999984 Daniel (#25) 21.4 7 3.0 56 71.4 %
999978 Melissa (#26) 30.2 16 1.9 23 68.8 %
999977 David (#27) 28.8 12 2.4 32 75.0 %
999979 Dylan (#28) 28.4 7 4.0 55 71.4 %
999988 Joshua (#29) 18.7 10 1.9 40 60.0 %
999984 Mary (#30) 20.9 7 3.0 57 71.4 %
999980 Jose (#31) 25.0 20 1.3 19 75.0 %
999984 Maria (#32) 24.4 14 1.7 27 64.3 %
999988 Lauren (#33) 21.4 21 1.0 17 52.4 %
999988 Cameron (#34) 15.6 14 1.1 28 71.4 %
999987 Christopher (#35) 17.6 13 1.4 30 69.2 %
999992 Mark (#36) 9.7 9 1.1 40 66.7 %
999988 Alyssa (#37) 15.2 11 1.4 37 72.7 %
999984 Ashley (#38) 19.6 16 1.3 24 75.0 %
999991 Kimberly (#39) 12.4 9 1.3 45 66.7 %
999994 Austin (#40) 7.3 13 0.5 30 76.9 %
999990 Madison (#41) 13.7 16 0.9 22 62.5 %
999990 Jessica (#42) 13.5 55 0.3 8 63.6 %
999997 Kevin (#43) 1.7 10 0.2 36 80.0 %
999991 Kaitlyn (#44) 14.6 31 0.5 12 54.8 %
999990 Alexis (#45) 11.8 17 0.7 23 76.5 %
999997 Allison (#46) 3.0 15 0.2 26 80.0 %
999997 Brianna (#47) 3.2 18 0.2 21 66.7 %
999998 Andrew (#48) 2.4 28 0.1 14 60.7 %
1000000 Brittany (#49) -0.9 14 -0.1 27 64.3 %
1000001 Christina (#50) -3.6 15 -0.3 25 60.0 %
1000008 Joseph (#51) -12.7 13 -1.0 28 69.2 %
1000003 Alexander (#52) -6.3 26 -0.2 15 69.2 %
999996 Jonathan (#53) 4.6 25 0.2 15 60.0 %
1000002 Kayla (#54) -4.9 17 -0.3 21 58.8 %
1000001 Alexandra (#55) -3.0 18 -0.2 21 66.7 %
1000001 Katherine (#56) -3.5 21 -0.1 17 61.9 %
1000008 Anna (#57) -16.4 22 -0.7 17 59.1 %
1000003 Brian (#58) -6.1 22 -0.3 17 63.6 %
1000007 Megan (#59) -11.8 19 -0.6 18 63.2 %
1000006 Anthony (#60) -10.9 14 -0.8 27 64.3 %
1000003 Jordan (#61) -7.3 19 -0.4 19 63.2 %
1000010 Jesse (#62) -18.7 94 -0.2 5 55.3 %
1000010 Abigail (#63) -16.9 46 -0.4 9 63.0 %
1000013 Aaron (#64) -22.6 59 -0.4 7 62.7 %
1000008 John (#65) -17.4 38 -0.5 10 55.3 %
1000017 Amber (#66) -31.2 40 -0.8 10 57.5 %
1000016 Adam (#67) -29.4 33 -0.9 12 57.6 %
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