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
999960 Haley (#1) 39.1 7 5.6 31 100.0 %
999965 Kimberly (#2) 34.0 14 2.4 18 100.0 %
999968 Patrick (#3) 30.8 6 5.2 42 100.0 %
999974 Chelsea (#4) 27.8 8 3.5 27 87.5 %
999975 Mary (#5) 26.6 8 3.4 30 87.5 %
999978 Joshua (#6) 24.8 14 1.8 18 85.7 %
999973 Morgan (#7) 25.9 6 4.3 41 100.0 %
999974 Erin (#8) 25.1 6 4.2 39 100.0 %
999979 Allison (#9) 21.6 14 1.6 16 92.9 %
999980 Benjamin (#10) 21.4 9 2.3 23 88.9 %
999977 Daniel (#11) 21.8 6 3.7 34 100.0 %
999981 Courtney (#12) 21.4 7 3.0 30 85.7 %
999976 Elizabeth (#13) 23.5 6 3.8 36 100.0 %
999980 Austin (#14) 21.2 12 1.8 18 91.7 %
999979 Joseph (#15) 21.5 11 2.0 21 90.9 %
999980 Alexis (#16) 21.7 16 1.4 13 87.5 %
999983 Ashley (#17) 19.0 14 1.4 14 85.7 %
999980 Kyle (#18) 18.7 7 2.7 26 100.0 %
999984 Charles (#19) 16.5 7 2.4 29 85.7 %
999988 Melissa (#20) 13.7 8 1.8 24 75.0 %
999987 Cameron (#21) 14.4 8 1.8 24 87.5 %
999985 Kevin (#22) 16.0 9 1.8 25 88.9 %
999987 Cody (#23) 14.5 7 2.0 29 85.7 %
999986 Michelle (#24) 14.9 8 1.9 29 87.5 %
999984 Rebecca (#25) 14.7 6 2.5 30 100.0 %
999987 Dylan (#26) 14.2 6 2.3 36 83.3 %
999986 Juan (#27) 15.3 7 2.1 25 85.7 %
999986 Alyssa (#28) 13.9 10 1.4 20 90.0 %
999985 Brandon (#29) 14.2 6 2.3 26 100.0 %
999987 Brittany (#30) 12.8 9 1.4 21 88.9 %
999988 Kayla (#31) 11.8 8 1.5 23 87.5 %
999990 Madison (#32) 12.1 8 1.5 24 75.0 %
999989 Amanda (#33) 12.3 6 2.0 27 83.3 %
999989 Alexandra (#34) 13.1 17 0.8 12 76.5 %
999987 Kelsey (#35) 13.3 9 1.4 21 88.9 %
999990 Anthony (#36) 11.8 14 0.9 14 78.6 %
999988 Christina (#37) 13.4 8 1.6 23 87.5 %
999988 Michael (#38) 12.9 7 1.9 27 85.7 %
999991 Megan (#39) 13.0 14 0.9 14 64.3 %
999989 Christopher (#40) 10.5 8 1.4 24 87.5 %
999991 Maria (#41) 11.0 8 1.4 25 75.0 %
999991 Mark (#42) 10.6 7 1.6 33 71.4 %
999994 Katherine (#43) 7.7 16 0.5 13 68.8 %
999992 David (#44) 7.8 6 1.3 34 83.3 %
999995 Jordan (#45) 4.8 11 0.5 17 72.7 %
999996 Brianna (#46) 5.5 11 0.5 17 63.6 %
999995 Nicholas (#47) 5.5 8 0.8 25 62.5 %
999996 Jose (#48) 3.6 10 0.4 19 70.0 %
999998 Adam (#49) 2.4 23 0.1 9 69.6 %
999999 Brian (#50) 0.3 14 0.0 14 64.3 %
999999 Alexander (#51) 0.0 17 0.0 12 64.7 %
999998 Anna (#52) 1.0 14 0.1 15 57.1 %
1000000 Jonathan (#53) -1.2 16 -0.1 12 56.3 %
1000000 Andrew (#54) -2.3 18 -0.1 11 66.7 %
1000000 Justin (#55) -2.1 26 -0.1 8 61.5 %
1000002 Amber (#56) -5.2 21 -0.2 9 66.7 %
1000004 Laura (#57) -7.5 18 -0.4 11 61.1 %
1000003 Abigail (#58) -5.5 24 -0.3 8 70.8 %
1000003 Jessica (#59) -6.0 25 -0.2 8 64.0 %
1000004 Aaron (#60) -7.0 30 -0.2 7 70.0 %
1000003 Jesse (#61) -6.8 50 -0.1 5 60.0 %
1000003 John (#62) -5.5 21 -0.3 9 71.4 %
1000007 Kaitlyn (#63) -14.1 20 -0.7 10 60.0 %
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