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 "Public Service Enterprise Gp (PEG)"

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

Find The Lastest Buy Signals for PEG Below.



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Algorithms Results since Jan/2010


  to  
Sort Factor Algorithm % Result # Trades % Result/Trade Days/Trade Hit % Detailed View
999962 Haley (#1) 42.5 9 4.7 41 88.9 %
999966 Kimberly (#2) 35.1 17 2.1 24 94.1 %
999965 Jacob (#3) 34.2 6 5.7 56 100.0 %
999972 Alexis (#4) 31.8 26 1.2 15 84.6 %
999972 Patrick (#5) 30.9 8 3.9 52 87.5 %
999974 Allison (#6) 28.9 21 1.4 18 85.7 %
999974 Benjamin (#7) 29.0 15 1.9 24 86.7 %
999974 Joshua (#8) 30.2 19 1.6 22 84.2 %
999975 Samantha (#9) 28.9 6 4.8 62 83.3 %
999978 Samuel (#10) 31.6 6 5.3 73 66.7 %
999979 Alexandra (#11) 25.8 32 0.8 12 78.1 %
999976 Austin (#12) 25.8 17 1.5 23 88.2 %
999977 Chelsea (#13) 27.8 10 2.8 35 80.0 %
999974 Joseph (#14) 27.7 16 1.8 25 87.5 %
999977 Mary (#15) 26.9 11 2.5 37 81.8 %
999975 Morgan (#16) 26.7 8 3.4 52 87.5 %
999979 Melissa (#17) 25.8 13 2.0 27 76.9 %
999978 Courtney (#18) 26.4 11 2.4 34 81.8 %
999975 Elizabeth (#19) 26.8 8 3.4 48 87.5 %
999979 Adam (#20) 24.9 51 0.5 8 78.4 %
999980 Katherine (#21) 26.1 33 0.8 12 72.7 %
999978 Emily (#22) 24.3 7 3.4 46 85.7 %
999976 Erin (#23) 26.0 8 3.3 50 87.5 %
999977 Robert (#24) 25.8 6 4.3 71 83.3 %
999974 Kyle (#25) 25.1 9 2.8 35 100.0 %
999982 Lauren (#26) 25.4 27 0.9 13 66.7 %
999973 Danielle (#27) 25.6 6 4.3 44 100.0 %
999985 Megan (#28) 23.2 27 0.9 14 63.0 %
999978 Alyssa (#29) 22.7 19 1.2 19 89.5 %
999981 Charles (#30) 21.6 11 2.0 34 81.8 %
999980 Ashley (#31) 23.2 22 1.1 17 81.8 %
999980 Daniel (#32) 22.3 8 2.8 43 87.5 %
999980 Juan (#33) 20.7 9 2.3 33 88.9 %
999982 Christina (#34) 19.6 15 1.3 23 86.7 %
999980 Matthew (#35) 19.4 6 3.2 53 100.0 %
999984 Jessica (#36) 20.6 59 0.4 7 71.2 %
999984 Brittany (#37) 19.4 16 1.2 22 81.3 %
999985 Madison (#38) 19.7 14 1.4 25 71.4 %
999984 Cameron (#39) 19.5 13 1.5 28 76.9 %
999985 Olivia (#40) 20.1 7 2.9 56 71.4 %
999984 Aaron (#41) 18.8 66 0.3 6 78.8 %
999986 Anthony (#42) 18.5 22 0.8 17 72.7 %
999986 Justin (#43) 18.2 57 0.3 7 73.7 %
999985 Christian (#44) 16.2 8 2.0 34 87.5 %
999985 Amber (#45) 18.3 49 0.4 8 75.5 %
999985 Christopher (#46) 17.8 13 1.4 27 76.9 %
999987 Jonathan (#47) 16.6 33 0.5 12 69.7 %
999988 Kelsey (#48) 15.5 16 0.9 22 75.0 %
999987 Michael (#49) 14.6 11 1.4 33 81.8 %
999989 Mark (#50) 13.7 10 1.4 40 70.0 %
999985 Brandon (#51) 15.7 10 1.6 28 90.0 %
999986 Abigail (#52) 16.8 56 0.3 7 78.6 %
999989 Maria (#53) 14.2 13 1.1 28 69.2 %
999986 Kayla (#54) 15.7 15 1.1 23 80.0 %
999986 Kevin (#55) 15.0 12 1.3 33 83.3 %
999987 Cody (#56) 15.1 9 1.7 41 77.8 %
999985 Rebecca (#57) 15.7 9 1.8 41 88.9 %
999988 Dylan (#58) 14.0 8 1.8 47 75.0 %
999986 Amanda (#59) 15.3 10 1.5 28 90.0 %
999990 John (#60) 12.0 45 0.3 9 73.3 %
999991 Brianna (#61) 12.2 20 0.6 18 65.0 %
999991 Richard (#62) 11.8 6 2.0 63 66.7 %
999991 Laura (#63) 12.0 40 0.3 10 65.0 %
999991 Brian (#64) 11.8 27 0.4 14 70.4 %
999990 Andrew (#65) 12.2 38 0.3 10 76.3 %
999989 Michelle (#66) 12.5 10 1.3 40 80.0 %
999992 Anna (#67) 10.5 26 0.4 15 65.4 %
999992 Jordan (#68) 10.4 21 0.5 17 71.4 %
999991 Kaitlyn (#69) 11.4 42 0.3 9 69.1 %
999991 Alexander (#70) 10.7 34 0.3 11 73.5 %
999994 Jose (#71) 7.8 19 0.4 19 68.4 %
999995 Nicholas (#72) 7.1 15 0.5 24 60.0 %
999994 David (#73) 6.5 8 0.9 46 75.0 %
999993 Sarah (#74) 9.1 6 1.5 74 66.7 %
999994 Nicole (#75) 8.3 9 0.9 40 66.7 %
999997 Jesse (#76) 2.9 100 0.0 4 64.0 %
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