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 "Yum! Brands Inc (YUM)"

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

Find The Lastest Buy Signals for YUM Below.



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Algorithms Results since Jan/2010


  to  
Sort Factor Algorithm % Result # Trades % Result/Trade Days/Trade Hit % Detailed View
999961 Juan (#1) 41.8 11 3.8 37 90.9 %
999957 Kyle (#2) 42.0 8 5.3 50 100.0 %
999971 Amanda (#3) 32.4 9 3.6 42 88.9 %
999975 Brandon (#4) 27.5 7 4.0 54 85.7 %
999979 Brianna (#5) 25.7 23 1.1 16 78.3 %
999983 Rebecca (#6) 25.4 11 2.3 33 63.6 %
999979 Alexandra (#7) 22.6 29 0.8 13 86.2 %
999982 Matthew (#8) 21.4 6 3.5 69 83.3 %
999987 Jessica (#9) 17.9 51 0.4 8 68.6 %
999980 Kayla (#10) 22.6 21 1.1 17 81.0 %
999986 Lauren (#11) 19.8 22 0.9 15 63.6 %
999982 Allison (#12) 20.8 15 1.4 26 80.0 %
999982 Anthony (#13) 19.9 26 0.8 14 84.6 %
999983 Brittany (#14) 20.7 18 1.2 20 77.8 %
999984 Jose (#15) 17.7 17 1.1 20 82.4 %
999986 Madison (#16) 18.2 18 1.0 20 72.2 %
999988 Laura (#17) 17.5 33 0.5 11 63.6 %
999984 Alexis (#18) 18.9 18 1.1 20 77.8 %
999983 Austin (#19) 19.2 14 1.4 28 85.7 %
999984 Christina (#20) 19.0 19 1.0 18 79.0 %
999990 Abigail (#21) 13.4 46 0.3 8 71.7 %
999987 Brian (#22) 17.1 28 0.6 12 71.4 %
999986 Jordan (#23) 16.6 28 0.6 14 78.6 %
999986 Anna (#24) 16.5 28 0.6 13 78.6 %
999985 Joseph (#25) 16.6 13 1.3 27 84.6 %
999990 Katherine (#26) 14.8 23 0.7 14 60.9 %
999989 Jonathan (#27) 13.9 30 0.5 12 70.0 %
999991 Megan (#28) 13.3 23 0.6 15 60.9 %
999991 Alexander (#29) 11.2 33 0.3 12 72.7 %
999990 Cameron (#30) 12.1 9 1.3 39 77.8 %
999991 Nicholas (#31) 13.0 14 0.9 27 64.3 %
999989 Kelsey (#32) 13.4 15 0.9 22 80.0 %
999991 Ashley (#33) 11.5 12 0.9 29 75.0 %
999991 Christian (#34) 10.3 6 1.7 64 83.3 %
999989 Christopher (#35) 11.6 15 0.8 23 80.0 %
999995 Andrew (#36) 6.8 32 0.2 12 62.5 %
999993 Adam (#37) 8.3 37 0.2 10 70.3 %
999996 Kaitlyn (#38) 6.2 35 0.2 10 57.1 %
999995 Amber (#39) 5.2 40 0.1 10 72.5 %
999992 Maria (#40) 8.6 8 1.1 42 75.0 %
999996 Jesse (#41) 4.5 88 0.1 5 63.6 %
999997 John (#42) 2.7 38 0.1 10 63.2 %
999997 Benjamin (#43) 1.8 9 0.2 44 77.8 %
999998 Dylan (#44) 2.0 7 0.3 49 71.4 %
999998 Aaron (#45) 0.8 58 0.0 7 65.5 %
1000000 Justin (#46) -1.3 51 -0.0 7 56.9 %
1000000 Kevin (#47) -2.3 10 -0.2 35 70.0 %
1000001 Alyssa (#48) -2.1 10 -0.2 40 80.0 %
1000002 Charles (#49) -3.8 8 -0.5 48 62.5 %
1000001 Cody (#50) -3.4 8 -0.4 44 75.0 %
1000000 Erin (#51) -2.4 7 -0.3 50 71.4 %
1000001 Morgan (#52) -3.0 7 -0.4 53 57.1 %
1000002 Olivia (#53) -3.8 6 -0.7 59 66.7 %
1000003 Mark (#54) -4.8 8 -0.6 44 75.0 %
1000001 Michelle (#55) -4.4 7 -0.6 51 57.1 %
1000003 Kimberly (#56) -6.2 8 -0.8 43 62.5 %
1000004 Joshua (#57) -6.8 9 -0.8 38 77.8 %
1000003 Mary (#58) -5.3 7 -0.7 50 71.4 %
1000003 Michael (#59) -5.3 7 -0.7 46 71.4 %
1000003 Nicole (#60) -5.6 8 -0.8 42 62.5 %
1000004 Melissa (#61) -7.3 15 -0.5 24 66.7 %
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