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
999965 Brandon (#1) 38.4 10 3.8 32 90.0 %
999971 Amanda (#2) 31.1 11 2.8 30 90.9 %
999977 Kyle (#3) 25.4 9 2.8 39 88.9 %
999982 Matthew (#4) 21.2 6 3.5 58 83.3 %
999982 Jessica (#5) 24.7 59 0.4 7 67.8 %
999978 Christian (#6) 23.8 7 3.4 46 85.7 %
999981 Danielle (#7) 21.2 7 3.0 49 85.7 %
999980 Nathan (#8) 23.0 6 3.8 58 83.3 %
999980 Juan (#9) 21.6 8 2.8 43 87.5 %
999984 Adam (#10) 20.5 41 0.5 9 75.6 %
999987 Michelle (#11) 14.1 7 2.0 47 85.7 %
999991 Richard (#12) 11.7 6 2.0 56 66.7 %
999991 Amber (#13) 11.0 40 0.3 10 72.5 %
999993 David (#14) 7.9 8 1.0 44 75.0 %
999991 Alyssa (#15) 9.6 11 0.9 29 81.8 %
999992 Daniel (#16) 8.4 6 1.3 50 83.3 %
999993 Aaron (#17) 8.5 60 0.2 7 66.7 %
999990 Andrew (#18) 12.2 35 0.3 11 77.1 %
999992 Dylan (#19) 9.1 8 1.1 40 75.0 %
999994 Jesse (#20) 6.6 88 0.1 5 64.8 %
999993 Laura (#21) 9.8 38 0.3 10 60.5 %
999998 Olivia (#22) 0.7 7 0.1 47 71.4 %
999995 Kaitlyn (#23) 6.1 35 0.2 11 71.4 %
999996 Joseph (#24) 4.4 14 0.3 23 85.7 %
999996 Benjamin (#25) 4.1 8 0.5 39 75.0 %
999995 Chelsea (#26) 5.1 7 0.7 44 71.4 %
999998 Courtney (#27) 2.3 7 0.3 44 71.4 %
999997 Abigail (#28) 2.8 43 0.1 9 65.1 %
1000000 Christina (#29) -1.3 17 -0.1 21 76.5 %
999998 Jordan (#30) 1.4 24 0.0 14 79.2 %
1000000 John (#31) -1.2 36 -0.0 11 69.4 %
999995 Jonathan (#32) 4.6 29 0.2 13 75.9 %
999998 Allison (#33) 0.6 12 0.1 27 83.3 %
999998 Charles (#34) 0.9 8 0.1 41 75.0 %
1000002 Austin (#35) -4.1 10 -0.4 33 80.0 %
1000000 Cody (#36) -2.2 8 -0.3 43 62.5 %
1000002 Michael (#37) -4.6 10 -0.5 37 60.0 %
1000002 Maria (#38) -5.1 12 -0.4 30 66.7 %
1000003 Justin (#39) -6.9 55 -0.1 8 63.6 %
1000004 Anthony (#40) -6.3 22 -0.3 16 77.3 %
1000003 Brian (#41) -4.5 23 -0.2 16 73.9 %
1000003 Anna (#42) -5.2 26 -0.2 14 76.9 %
1000005 Alexandra (#43) -8.1 23 -0.4 15 78.3 %
1000005 Alexander (#44) -8.3 29 -0.3 13 75.9 %
1000005 Brianna (#45) -8.0 22 -0.4 16 72.7 %
1000001 Lauren (#46) -4.3 21 -0.2 17 61.9 %
1000005 Melissa (#47) -9.1 13 -0.7 27 61.5 %
1000007 Nicholas (#48) -14.4 13 -1.1 28 53.9 %
1000008 Kevin (#49) -13.0 9 -1.4 36 66.7 %
1000003 Katherine (#50) -6.6 25 -0.3 15 64.0 %
1000007 Cameron (#51) -10.7 8 -1.4 43 75.0 %
1000000 Megan (#52) -2.3 20 -0.1 19 70.0 %
1000012 Kimberly (#53) -15.4 6 -2.5 52 83.3 %
1000010 Brittany (#54) -13.8 16 -0.9 22 75.0 %
1000005 Mark (#55) -10.5 7 -1.4 46 57.1 %
1000010 Kayla (#56) -15.9 19 -0.8 18 68.4 %
1000009 Jose (#57) -15.4 16 -0.9 22 68.8 %
1000010 Joshua (#58) -18.0 8 -2.3 40 62.5 %
1000014 Christopher (#59) -22.5 11 -2.1 33 63.6 %
1000012 Kelsey (#60) -19.4 12 -1.6 30 66.7 %
1000015 Madison (#61) -22.4 17 -1.3 20 70.6 %
1000015 Alexis (#62) -25.0 14 -1.8 25 64.3 %
1000016 Ashley (#63) -23.1 11 -2.1 32 72.7 %
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