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 "Aflac Inc (AFL)"

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

Find The Lastest Buy Signals for AFL Below.



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Algorithms Results since Jan/2010


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Sort Factor Algorithm % Result # Trades % Result/Trade Days/Trade Hit % Detailed View
999952 Brandon (#1) 53.4 17 3.1 26 88.2 %
999950 Kyle (#2) 52.5 14 3.8 32 92.9 %
999955 Nathan (#3) 50.1 9 5.6 49 88.9 %
999955 Rachel (#4) 52.7 6 8.8 74 83.3 %
999959 Amanda (#5) 45.0 18 2.5 25 88.9 %
999955 Juan (#6) 47.3 14 3.4 32 92.9 %
999969 Jessica (#7) 45.2 87 0.5 7 66.7 %
999960 Matthew (#8) 44.5 9 4.9 49 88.9 %
999968 Christian (#9) 34.4 11 3.1 41 90.9 %
999976 Amber (#10) 31.1 62 0.5 9 74.2 %
999976 Kaitlyn (#11) 32.2 54 0.6 11 72.2 %
999977 Adam (#12) 29.1 56 0.5 10 75.0 %
999978 Aaron (#13) 29.9 92 0.3 7 69.6 %
999978 Danielle (#14) 24.2 8 3.0 58 87.5 %
999981 Laura (#15) 29.2 57 0.5 10 63.2 %
999981 John (#16) 24.7 58 0.4 10 70.7 %
999981 Andrew (#17) 23.9 47 0.5 11 76.6 %
999978 Emily (#18) 24.0 7 3.4 59 85.7 %
999987 Justin (#19) 19.4 82 0.2 7 64.6 %
999985 Abigail (#20) 20.0 71 0.3 8 70.4 %
999984 Alyssa (#21) 18.4 17 1.1 25 82.4 %
999991 Christina (#22) 11.4 24 0.5 21 70.8 %
999989 Jordan (#23) 12.5 35 0.4 14 77.1 %
999989 Jesse (#24) 15.0 134 0.1 5 63.4 %
999988 Benjamin (#25) 14.5 14 1.0 30 78.6 %
999990 Chelsea (#26) 12.9 11 1.2 38 72.7 %
999988 Daniel (#27) 14.6 8 1.9 51 75.0 %
999992 Anthony (#28) 9.0 31 0.3 15 77.4 %
999990 Allison (#29) 11.0 19 0.6 23 79.0 %
999990 Joseph (#30) 10.7 18 0.6 24 83.3 %
999993 Michelle (#31) 8.5 8 1.0 56 75.0 %
999993 Brian (#32) 9.2 34 0.3 15 70.6 %
999993 Austin (#33) 8.0 16 0.5 27 75.0 %
999989 Megan (#34) 14.4 29 0.5 19 69.0 %
999996 David (#35) 5.4 10 0.5 47 70.0 %
999998 Richard (#36) 2.3 7 0.3 65 57.1 %
999992 Alexandra (#37) 8.7 36 0.3 13 77.8 %
999992 Jonathan (#38) 9.4 40 0.2 13 72.5 %
999993 Charles (#39) 8.2 12 0.7 36 75.0 %
999996 Dylan (#40) 4.8 9 0.6 49 66.7 %
999994 Anna (#41) 7.4 36 0.2 14 75.0 %
999994 Katherine (#42) 8.2 35 0.2 15 62.9 %
999998 Cameron (#43) 0.7 14 0.1 33 71.4 %
1000002 Olivia (#44) -4.0 8 -0.5 56 62.5 %
999996 Courtney (#45) 3.9 10 0.4 41 70.0 %
999999 Brittany (#46) -0.3 23 0.0 21 73.9 %
999998 Brianna (#47) 1.9 31 0.1 16 71.0 %
1000002 Nicholas (#48) -4.9 17 -0.3 27 58.8 %
1000000 Erin (#49) -2.0 7 -0.3 59 57.1 %
1000002 Kayla (#50) -4.3 29 -0.1 17 69.0 %
999999 Cody (#51) 0.1 11 0.0 42 63.6 %
1000002 Elizabeth (#52) -5.6 7 -0.9 55 57.1 %
1000000 Alexander (#53) -1.7 40 -0.1 13 75.0 %
999997 Lauren (#54) 3.3 30 0.1 17 60.0 %
1000003 Maria (#55) -6.6 15 -0.5 32 60.0 %
1000008 Kimberly (#56) -10.7 9 -1.2 47 77.8 %
1000004 Mark (#57) -9.1 9 -1.0 48 55.6 %
1000005 Melissa (#58) -9.3 21 -0.4 24 61.9 %
1000005 Mary (#59) -9.3 6 -1.5 70 66.7 %
1000008 Christopher (#60) -14.6 16 -0.9 30 62.5 %
1000009 Kevin (#61) -15.6 11 -1.5 40 63.6 %
1000009 Madison (#62) -16.5 27 -0.6 19 63.0 %
1000009 Jose (#63) -15.0 21 -0.7 22 66.7 %
1000008 Joshua (#64) -14.0 11 -1.3 39 63.6 %
1000013 Alexis (#65) -20.7 21 -1.0 22 66.7 %
1000010 Kelsey (#66) -18.5 16 -1.1 30 62.5 %
1000010 Ashley (#67) -16.5 17 -0.9 27 70.6 %
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