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
999979 Kaitlyn (#1) 29.1 39 0.7 9 69.2 %
999979 Jessica (#2) 28.2 62 0.5 6 71.0 %
999977 Adam (#3) 27.6 45 0.6 8 80.0 %
999979 Aaron (#4) 25.8 65 0.4 6 75.4 %
999980 Abigail (#5) 24.3 53 0.5 7 77.4 %
999981 Amber (#6) 24.0 43 0.6 9 74.4 %
999980 Alexis (#7) 23.0 22 1.1 13 81.8 %
999983 Justin (#8) 22.6 59 0.4 7 71.2 %
999982 Alexandra (#9) 21.1 29 0.7 12 79.3 %
999984 Laura (#10) 22.7 39 0.6 9 66.7 %
999984 Brittany (#11) 20.5 21 1.0 16 76.2 %
999981 Rebecca (#12) 21.1 8 2.6 39 87.5 %
999985 John (#13) 19.8 42 0.5 9 71.4 %
999985 Jose (#14) 18.0 20 0.9 17 80.0 %
999983 Alexander (#15) 18.7 34 0.6 11 82.4 %
999985 Katherine (#16) 19.5 29 0.7 13 69.0 %
999985 Anthony (#17) 19.3 22 0.9 15 72.7 %
999985 Christopher (#18) 17.7 13 1.4 24 76.9 %
999985 Ashley (#19) 17.1 19 0.9 15 84.2 %
999988 Brianna (#20) 15.6 21 0.8 17 71.4 %
999986 Andrew (#21) 17.5 33 0.5 11 78.8 %
999985 Jonathan (#22) 18.1 30 0.6 12 76.7 %
999986 Christina (#23) 15.8 17 0.9 20 82.4 %
999983 Juan (#24) 16.4 10 1.6 18 100.0 %
999988 Brian (#25) 15.1 25 0.6 15 72.0 %
999988 Cameron (#26) 13.6 13 1.1 20 76.9 %
999987 Michael (#27) 13.0 10 1.3 33 90.0 %
999985 Nathan (#28) 14.0 6 2.3 29 100.0 %
999989 Jesse (#29) 14.5 94 0.2 4 64.9 %
999989 Anna (#30) 14.4 26 0.5 13 73.1 %
999991 Maria (#31) 12.9 11 1.2 30 63.6 %
999990 Melissa (#32) 14.2 12 1.2 29 66.7 %
999989 Megan (#33) 13.6 22 0.6 16 68.2 %
999990 Kelsey (#34) 11.4 16 0.7 20 81.3 %
999991 Kyle (#35) 12.0 9 1.3 21 66.7 %
999990 Lauren (#36) 12.0 24 0.5 15 70.8 %
999990 Allison (#37) 12.0 13 0.9 18 76.9 %
999990 Nicole (#38) 12.7 10 1.3 40 70.0 %
999987 Matthew (#39) 11.8 6 2.0 30 100.0 %
999989 Alyssa (#40) 11.1 12 0.9 17 91.7 %
999990 Benjamin (#41) 10.0 8 1.3 25 87.5 %
999992 Jordan (#42) 9.9 24 0.4 15 66.7 %
999991 Austin (#43) 9.1 10 0.9 23 90.0 %
999992 David (#44) 8.2 9 0.9 32 88.9 %
999991 Joseph (#45) 10.4 11 0.9 23 81.8 %
999992 Courtney (#46) 9.0 6 1.5 37 83.3 %
999991 Joshua (#47) 8.7 9 1.0 26 88.9 %
999994 Madison (#48) 7.4 13 0.5 26 69.2 %
999993 Nicholas (#49) 8.1 15 0.5 22 73.3 %
999992 Amanda (#50) 6.9 8 0.9 20 100.0 %
999993 Kayla (#51) 8.1 18 0.4 19 72.2 %
999993 Charles (#52) 7.1 6 1.2 38 83.3 %
999993 Mark (#53) 6.6 7 1.0 33 85.7 %
999993 Brandon (#54) 7.4 8 0.9 20 87.5 %
999994 Cody (#55) 5.7 6 1.0 38 83.3 %
999997 Kevin (#56) 2.1 8 0.3 31 87.5 %
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