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 "Ppl Corp (PPL)"

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

Find The Lastest Buy Signals for PPL Below.



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Algorithms Results since Jan/2010


  to  
Sort Factor Algorithm % Result # Trades % Result/Trade Days/Trade Hit % Detailed View
999957 Christian (#1) 41.6 12 3.5 36 100.0 %
999966 John (#2) 42.4 47 0.9 8 78.7 %
999972 Brandon (#3) 30.1 12 2.5 30 91.7 %
999976 Justin (#4) 31.9 59 0.5 7 71.2 %
999970 Emily (#5) 29.2 6 4.8 65 100.0 %
999974 Haley (#6) 30.4 6 5.0 63 83.3 %
999979 Danielle (#7) 23.3 7 3.3 62 85.7 %
999977 Amanda (#8) 24.4 14 1.7 26 92.9 %
999979 Laura (#9) 31.7 38 0.8 10 63.2 %
999975 Anna (#10) 29.5 28 1.1 13 78.6 %
999980 Juan (#11) 20.7 11 1.9 31 90.9 %
999978 Jessica (#12) 29.7 61 0.5 6 68.9 %
999981 Kaitlyn (#13) 26.3 44 0.6 9 68.2 %
999984 Kyle (#14) 17.5 7 2.4 47 85.7 %
999982 Daniel (#15) 19.7 6 3.3 54 83.3 %
999987 Morgan (#16) 17.2 7 2.4 54 71.4 %
999986 Patrick (#17) 18.7 6 3.2 63 66.7 %
999979 Adam (#18) 24.5 43 0.6 9 79.1 %
999988 Matthew (#19) 13.4 7 1.9 48 85.7 %
999982 Alexandra (#20) 20.1 29 0.7 12 82.8 %
999982 Amber (#21) 20.9 44 0.5 9 79.6 %
999986 Jose (#22) 16.9 18 0.9 18 77.8 %
999987 Eric (#23) 13.6 6 2.3 72 83.3 %
999984 Brian (#24) 20.3 26 0.8 14 76.9 %
999984 Katherine (#25) 20.5 27 0.8 14 70.4 %
999992 Joshua (#26) 8.8 14 0.6 23 78.6 %
999991 Elizabeth (#27) 10.1 6 1.7 63 83.3 %
999988 Anthony (#28) 14.0 20 0.7 17 75.0 %
999986 Alexander (#29) 15.7 32 0.5 11 78.1 %
999986 Andrew (#30) 17.0 34 0.5 11 76.5 %
999991 Chelsea (#31) 9.0 8 1.1 40 87.5 %
999989 Aaron (#32) 13.4 64 0.2 6 76.6 %
999993 Brianna (#33) 8.2 20 0.4 18 75.0 %
999995 Benjamin (#34) 4.5 10 0.4 33 90.0 %
999992 Erin (#35) 9.3 6 1.5 62 83.3 %
999991 Jordan (#36) 11.3 24 0.5 15 70.8 %
999993 Richard (#37) 8.7 6 1.5 54 66.7 %
999990 Jonathan (#38) 12.7 29 0.5 13 72.4 %
999994 Kayla (#39) 6.6 19 0.4 19 68.4 %
999998 Kimberly (#40) 0.8 9 0.1 35 66.7 %
999995 Brittany (#41) 5.9 14 0.4 25 64.3 %
999992 Abigail (#42) 8.4 52 0.2 8 82.7 %
999995 Alexis (#43) 4.9 19 0.3 18 79.0 %
999997 Alyssa (#44) 1.9 11 0.2 30 90.9 %
1000000 Jesse (#45) -1.4 90 -0.0 5 61.1 %
999999 Mary (#46) -0.3 7 0.0 44 57.1 %
999997 Christina (#47) 3.6 13 0.3 26 61.5 %
999996 Kelsey (#48) 4.6 15 0.3 21 66.7 %
999998 Olivia (#49) 1.2 6 0.2 56 83.3 %
1000002 Courtney (#50) -3.8 6 -0.7 52 83.3 %
1000000 Rebecca (#51) -0.5 7 -0.1 43 71.4 %
999999 Lauren (#52) -0.3 20 0.0 18 60.0 %
1000001 Cameron (#53) -3.4 14 -0.2 24 71.4 %
1000001 Ashley (#54) -3.3 15 -0.2 23 66.7 %
1000002 Allison (#55) -4.3 14 -0.3 24 78.6 %
1000002 Joseph (#56) -3.0 10 -0.3 31 90.0 %
1000003 Michelle (#57) -4.8 6 -0.8 56 83.3 %
1000004 Christopher (#58) -7.7 14 -0.6 24 64.3 %
1000004 Kevin (#59) -5.9 9 -0.7 34 77.8 %
1000006 Austin (#60) -8.9 10 -0.9 33 80.0 %
1000006 Charles (#61) -8.9 8 -1.1 39 75.0 %
1000003 Nicholas (#62) -7.0 11 -0.6 33 54.6 %
1000006 Dylan (#63) -9.1 6 -1.5 53 83.3 %
1000006 Madison (#64) -11.2 13 -0.9 27 61.5 %
1000008 Cody (#65) -11.8 8 -1.5 40 75.0 %
1000006 David (#66) -9.3 10 -0.9 33 80.0 %
1000007 Michael (#67) -13.6 9 -1.6 34 55.6 %
1000008 Mark (#68) -12.2 7 -1.7 48 71.4 %
1000007 Nicole (#69) -11.1 7 -1.6 43 71.4 %
1000008 Melissa (#70) -14.8 13 -1.2 27 61.5 %
1000010 Maria (#71) -19.6 9 -2.2 33 55.6 %
1000011 Megan (#72) -23.5 21 -1.1 18 52.4 %
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