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


  to  
Sort Factor Algorithm % Result # Trades % Result/Trade Days/Trade Hit % Detailed View
999978 Benjamin (#1) 23.1 14 1.6 24 92.9 %
999981 Chelsea (#2) 20.0 10 2.0 35 90.0 %
999984 Kaitlyn (#3) 18.6 40 0.5 9 80.0 %
999981 Christopher (#4) 21.3 15 1.4 21 86.7 %
999986 Nicholas (#5) 20.5 15 1.4 23 60.0 %
999989 Alyssa (#6) 11.4 17 0.7 20 94.1 %
999986 Andrew (#7) 16.2 37 0.4 9 78.4 %
999984 Cameron (#8) 17.1 14 1.2 23 85.7 %
999987 Laura (#9) 17.4 36 0.5 11 72.2 %
999986 Adam (#10) 16.4 42 0.4 8 78.6 %
999982 Brianna (#11) 19.8 23 0.9 14 87.0 %
999984 Jose (#12) 16.6 19 0.9 16 89.5 %
999988 Mary (#13) 15.5 6 2.7 51 66.7 %
999987 Alexis (#14) 13.6 25 0.6 12 88.0 %
999983 Maria (#15) 18.6 13 1.5 24 84.6 %
999990 Kimberly (#16) 10.0 11 0.9 28 90.9 %
999991 Amber (#17) 10.5 43 0.2 8 76.7 %
999986 Jordan (#18) 14.7 25 0.6 13 88.0 %
999990 Ashley (#19) 10.6 19 0.6 16 84.2 %
999989 Cody (#20) 13.3 10 1.3 31 80.0 %
999986 Michael (#21) 18.1 10 1.8 31 70.0 %
999984 Nicole (#22) 18.9 9 2.1 35 77.8 %
999988 Alexander (#23) 14.0 33 0.4 10 81.8 %
999989 Lauren (#24) 13.2 25 0.5 14 80.0 %
999992 Morgan (#25) 11.3 6 1.8 50 66.7 %
999988 Alexandra (#26) 11.9 29 0.4 11 89.7 %
999990 Brian (#27) 10.1 28 0.4 12 85.7 %
999992 Brittany (#28) 9.1 18 0.5 17 83.3 %
999993 Megan (#29) 10.3 23 0.4 15 60.9 %
999989 David (#30) 12.1 13 0.9 23 84.6 %
999993 Charles (#31) 8.1 10 0.8 32 80.0 %
999990 Kayla (#32) 11.7 19 0.6 17 79.0 %
999992 Anthony (#33) 7.5 25 0.3 13 88.0 %
999995 John (#34) 6.4 40 0.2 9 72.5 %
999992 Anna (#35) 8.2 29 0.3 11 86.2 %
999996 Jonathan (#36) 4.3 31 0.1 11 77.4 %
999993 Allison (#37) 6.7 19 0.4 18 89.5 %
999992 Michelle (#38) 10.6 9 1.2 35 66.7 %
999993 Madison (#39) 7.9 15 0.5 23 73.3 %
999994 Mark (#40) 6.6 10 0.7 32 70.0 %
999996 Joshua (#41) 3.4 12 0.3 26 91.7 %
999996 Katherine (#42) 4.0 26 0.2 13 76.9 %
999997 Daniel (#43) 2.3 7 0.3 51 85.7 %
1000000 Justin (#44) -2.5 56 -0.0 7 69.6 %
999997 Christina (#45) 3.2 15 0.2 21 80.0 %
999996 Courtney (#46) 3.5 7 0.6 47 71.4 %
999994 Kelsey (#47) 5.8 15 0.4 20 86.7 %
999995 Dylan (#48) 5.3 8 0.6 40 75.0 %
999992 Olivia (#49) 9.9 8 1.3 38 75.0 %
1000000 Austin (#50) -1.0 15 -0.1 22 86.7 %
999996 Rebecca (#51) 3.6 8 0.5 36 75.0 %
1000002 Melissa (#52) -3.6 15 -0.3 22 66.7 %
1000010 Juan (#53) -13.1 7 -1.9 44 85.7 %
1000008 Abigail (#54) -10.6 52 -0.2 7 78.9 %
1000005 Richard (#55) -8.0 8 -1.0 34 75.0 %
1000006 Joseph (#56) -10.0 12 -0.8 27 75.0 %
1000008 Kevin (#57) -13.4 10 -1.3 31 70.0 %
1000010 Jessica (#58) -17.3 56 -0.3 7 66.1 %
1000017 Aaron (#59) -25.1 59 -0.4 6 71.2 %
1000026 Jesse (#60) -42.4 94 -0.5 4 63.8 %
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