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
999945 Christian (#1) 54.5 14 3.9 35 100.0 %
999958 Emily (#2) 41.3 8 5.1 54 100.0 %
999966 Danielle (#3) 37.4 10 3.7 50 90.0 %
999968 John (#4) 39.7 72 0.6 8 76.4 %
999966 Brandon (#5) 34.7 14 2.5 30 92.9 %
999966 Haley (#6) 38.8 7 5.6 60 85.7 %
999971 Heather (#7) 34.1 6 5.7 80 83.3 %
999971 Daniel (#8) 32.2 8 4.0 46 87.5 %
999971 Amanda (#9) 29.8 17 1.8 25 94.1 %
999973 Juan (#10) 28.3 14 2.0 27 92.9 %
999976 James (#11) 28.1 6 4.7 70 83.3 %
999976 Jessica (#12) 33.3 91 0.4 7 70.3 %
999976 Kyle (#13) 25.5 10 2.6 37 90.0 %
999980 Morgan (#14) 25.8 8 3.3 52 75.0 %
999976 Hannah (#15) 26.9 6 4.5 71 83.3 %
999979 Patrick (#16) 27.8 7 4.0 60 71.4 %
999974 Adam (#17) 31.5 68 0.5 8 79.4 %
999978 Chelsea (#18) 23.2 11 2.1 34 90.9 %
999979 Matthew (#19) 22.5 9 2.4 40 88.9 %
999979 Eric (#20) 23.0 7 3.3 68 85.7 %
999982 Justin (#21) 23.5 90 0.3 7 70.0 %
999978 Amber (#22) 26.7 68 0.4 8 79.4 %
999978 Anna (#23) 27.7 40 0.7 13 75.0 %
999978 Erin (#24) 23.6 8 3.0 58 87.5 %
999982 Richard (#25) 22.1 8 2.8 52 75.0 %
999982 Elizabeth (#26) 20.2 7 2.9 59 85.7 %
999982 Andrew (#27) 22.4 51 0.4 11 78.4 %
999982 Alexandra (#28) 20.9 42 0.5 13 78.6 %
999983 Benjamin (#29) 17.1 13 1.3 29 92.3 %
999987 Aaron (#30) 15.3 97 0.2 6 77.3 %
999986 Laura (#31) 21.3 58 0.4 10 63.8 %
999990 Samantha (#32) 15.3 7 2.1 50 57.1 %
999988 Joshua (#33) 13.8 16 0.9 23 81.3 %
999986 Katherine (#34) 19.3 40 0.5 14 70.0 %
999991 Kaitlyn (#35) 12.2 62 0.2 10 62.9 %
999987 Alexander (#36) 15.6 47 0.3 12 76.6 %
999987 Brian (#37) 16.9 37 0.5 15 73.0 %
999988 Olivia (#38) 11.6 9 1.3 48 88.9 %
999992 Kimberly (#39) 9.8 10 1.0 35 70.0 %
999993 Mary (#40) 9.7 8 1.3 44 62.5 %
999993 Jesse (#41) 9.9 135 0.1 4 62.2 %
999992 Jordan (#42) 9.8 33 0.3 16 69.7 %
999993 Alexis (#43) 8.2 27 0.3 16 77.8 %
999987 Abigail (#44) 14.9 83 0.2 7 81.9 %
999992 Jose (#45) 10.3 25 0.4 21 68.0 %
999993 Alyssa (#46) 6.5 15 0.5 26 86.7 %
999993 Anthony (#47) 8.3 29 0.3 18 69.0 %
999989 Jonathan (#48) 14.0 46 0.3 12 73.9 %
999991 Michelle (#49) 8.7 9 1.0 47 88.9 %
999996 Joseph (#50) 3.0 14 0.2 29 92.9 %
999995 Brianna (#51) 4.8 28 0.2 19 71.4 %
999998 Cameron (#52) 1.9 19 0.1 23 73.7 %
999996 Courtney (#53) 3.0 8 0.4 44 87.5 %
1000000 Rebecca (#54) -2.3 12 -0.2 40 75.0 %
999998 Kevin (#55) 0.8 12 0.1 33 83.3 %
999999 Dylan (#56) -0.3 9 0.0 46 77.8 %
1000000 Nicholas (#57) -1.8 16 -0.1 34 56.3 %
1000000 Ashley (#58) -0.7 21 -0.1 21 66.7 %
1000001 Lauren (#59) -3.2 31 -0.1 18 61.3 %
1000003 Charles (#60) -5.0 10 -0.5 35 80.0 %
1000000 Kayla (#61) -0.9 28 -0.0 19 57.1 %
1000003 Allison (#62) -5.3 18 -0.3 24 72.2 %
1000004 Austin (#63) -7.1 13 -0.5 32 69.2 %
1000001 David (#64) -2.8 14 -0.2 31 78.6 %
1000003 Kelsey (#65) -6.9 20 -0.4 25 55.0 %
1000003 Nicole (#66) -6.1 11 -0.6 43 63.6 %
1000002 Brittany (#67) -5.4 19 -0.3 28 57.9 %
1000005 Cody (#68) -7.5 11 -0.7 38 72.7 %
1000002 Christina (#69) -5.0 19 -0.3 27 57.9 %
1000004 Mark (#70) -5.7 10 -0.6 43 80.0 %
1000004 Christopher (#71) -9.2 17 -0.5 26 58.8 %
1000005 Michael (#72) -12.4 13 -0.9 37 53.9 %
1000009 Madison (#73) -16.7 20 -0.9 26 60.0 %
1000009 Megan (#74) -19.4 32 -0.6 18 53.1 %
1000013 Melissa (#75) -22.0 19 -1.2 28 63.2 %
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