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


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Sort Factor Algorithm % Result # Trades % Result/Trade Days/Trade Hit % Detailed View
999972 Nicole (#1) 34.1 10 3.4 33 80.0 %
999976 Michelle (#2) 24.6 10 2.5 30 90.0 %
999976 Alyssa (#3) 25.3 20 1.3 14 90.0 %
999980 Mark (#4) 20.9 12 1.8 26 91.7 %
999982 Benjamin (#5) 19.1 17 1.1 16 88.2 %
999983 Amanda (#6) 18.3 8 2.3 33 87.5 %
999986 Michael (#7) 19.4 9 2.1 38 66.7 %
999985 Brandon (#8) 15.6 7 2.3 37 85.7 %
999985 Elizabeth (#9) 15.9 7 2.3 40 85.7 %
999987 Dylan (#10) 14.9 9 1.7 33 77.8 %
999985 Erin (#11) 15.9 8 2.0 36 87.5 %
999989 Cameron (#12) 13.1 12 1.1 26 75.0 %
999989 Justin (#13) 13.7 54 0.3 7 68.5 %
999988 Christopher (#14) 14.0 13 1.1 25 76.9 %
999990 Richard (#15) 12.3 7 1.7 41 71.4 %
999992 Katherine (#16) 10.1 28 0.4 12 75.0 %
999990 Maria (#17) 12.1 12 1.0 29 75.0 %
999991 Rebecca (#18) 12.7 10 1.3 34 60.0 %
999993 Samantha (#19) 9.7 8 1.3 39 62.5 %
999988 Jose (#20) 13.9 17 0.8 19 76.5 %
999989 Kelsey (#21) 12.7 15 0.9 23 80.0 %
999989 Kevin (#22) 11.5 15 0.8 20 80.0 %
999989 Olivia (#23) 12.9 8 1.6 37 75.0 %
999988 Courtney (#24) 13.2 8 1.6 37 87.5 %
999995 Laura (#25) 8.4 36 0.2 10 55.6 %
999990 Allison (#26) 11.0 17 0.7 18 82.4 %
999992 Cody (#27) 10.8 9 1.2 34 66.7 %
999992 Austin (#28) 9.0 14 0.6 21 78.6 %
999991 Chelsea (#29) 9.2 8 1.1 33 87.5 %
999994 David (#30) 7.4 10 0.7 32 70.0 %
999994 Daniel (#31) 6.0 6 1.0 42 83.3 %
999996 Joseph (#32) 4.9 16 0.3 20 68.8 %
999995 Nicholas (#33) 6.3 15 0.4 24 60.0 %
999996 Charles (#34) 4.4 8 0.5 36 62.5 %
999996 Jonathan (#35) 4.0 30 0.1 12 73.3 %
999996 Juan (#36) 3.9 6 0.7 47 66.7 %
999997 Ashley (#37) 2.9 14 0.2 22 78.6 %
999998 Alexis (#38) 0.7 15 0.1 21 66.7 %
1000000 Abigail (#39) -0.7 47 -0.0 8 72.3 %
999999 Alexander (#40) -0.2 28 0.0 12 67.9 %
1000000 Mary (#41) -0.5 6 -0.2 40 83.3 %
1000000 Joshua (#42) -0.9 8 -0.1 33 87.5 %
1000001 Christina (#43) -1.9 16 -0.1 21 81.3 %
999999 Kimberly (#44) 0.1 7 0.0 36 85.7 %
1000000 Brianna (#45) -1.7 21 -0.1 17 66.7 %
1000002 Madison (#46) -4.3 19 -0.2 18 84.2 %
1000004 Kayla (#47) -5.8 21 -0.3 17 76.2 %
1000002 Jessica (#48) -5.4 51 -0.1 7 62.8 %
1000005 Kaitlyn (#49) -9.0 35 -0.3 10 62.9 %
1000005 Jordan (#50) -7.5 22 -0.4 16 72.7 %
1000004 Brittany (#51) -7.0 14 -0.5 23 71.4 %
1000004 Amber (#52) -7.2 38 -0.2 9 71.1 %
1000003 Brian (#53) -6.4 23 -0.3 14 69.6 %
1000003 Alexandra (#54) -5.7 20 -0.3 17 70.0 %
1000005 Melissa (#55) -8.9 15 -0.6 23 66.7 %
1000005 Lauren (#56) -9.7 20 -0.5 17 60.0 %
1000005 Aaron (#57) -9.4 52 -0.2 7 69.2 %
1000006 Andrew (#58) -9.8 29 -0.3 12 69.0 %
1000006 Anna (#59) -10.2 22 -0.5 15 68.2 %
1000007 Adam (#60) -11.2 36 -0.3 10 69.4 %
1000007 Anthony (#61) -11.3 14 -0.8 23 71.4 %
1000010 John (#62) -15.5 38 -0.4 9 68.4 %
1000009 Jesse (#63) -17.9 86 -0.2 5 57.0 %
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