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
999963 Alyssa (#1) 40.4 29 1.4 15 89.7 %
999967 Haley (#2) 39.6 10 4.0 30 80.0 %
999967 Richard (#3) 36.5 10 3.6 44 90.0 %
999962 Jacob (#4) 36.9 6 6.2 45 100.0 %
999969 Benjamin (#5) 33.5 24 1.4 17 87.5 %
999967 Robert (#6) 31.6 7 4.6 42 100.0 %
999973 Eric (#7) 30.8 6 5.2 65 83.3 %
999972 Patrick (#8) 29.7 9 3.3 30 88.9 %
999975 Amanda (#9) 28.1 14 2.0 28 85.7 %
999977 Samantha (#10) 26.7 11 2.5 41 81.8 %
999976 Mary (#11) 25.7 15 1.7 28 86.7 %
999978 Morgan (#12) 25.1 12 2.1 35 83.3 %
999977 Danielle (#13) 26.2 7 3.7 56 85.7 %
999978 Daniel (#14) 25.3 14 1.8 29 85.7 %
999979 Chelsea (#15) 23.8 19 1.3 22 84.2 %
999980 Emily (#16) 24.5 9 2.8 44 77.8 %
999979 Brandon (#17) 23.7 11 2.2 36 81.8 %
999981 Elizabeth (#18) 25.2 11 2.3 40 72.7 %
999983 Christian (#19) 21.4 8 2.6 50 75.0 %
999979 Hannah (#20) 20.0 6 3.3 36 100.0 %
999979 Austin (#21) 23.0 23 1.0 21 87.0 %
999985 Nathan (#22) 20.0 7 2.9 71 71.4 %
999983 Michelle (#23) 20.8 13 1.6 35 76.9 %
999982 Charles (#24) 21.4 17 1.2 28 82.4 %
999986 Matthew (#25) 18.2 7 2.6 72 71.4 %
999981 Allison (#26) 21.0 29 0.7 17 86.2 %
999982 Courtney (#27) 22.0 13 1.7 35 76.9 %
999982 Erin (#28) 22.0 12 1.8 37 75.0 %
999983 Kimberly (#29) 19.3 19 1.0 23 84.2 %
999985 Olivia (#30) 19.6 10 2.0 44 70.0 %
999983 Jose (#31) 20.8 27 0.8 19 77.8 %
999985 Mark (#32) 16.9 15 1.1 30 80.0 %
999986 Ashley (#33) 16.4 25 0.6 20 80.0 %
999985 Cameron (#34) 16.3 20 0.8 24 85.0 %
999988 Joshua (#35) 14.0 21 0.7 21 81.0 %
999986 David (#36) 15.8 16 1.0 29 81.3 %
999988 Christopher (#37) 14.5 19 0.7 25 79.0 %
999990 Juan (#38) 13.0 11 1.2 38 72.7 %
999989 Joseph (#39) 13.1 24 0.5 19 75.0 %
999988 Maria (#40) 15.1 19 0.8 26 73.7 %
999988 Cody (#41) 13.0 16 0.8 30 81.3 %
999989 Dylan (#42) 13.2 12 1.1 38 75.0 %
999992 Kyle (#43) 10.2 7 1.4 59 71.4 %
999988 Michael (#44) 15.5 14 1.1 36 71.4 %
999985 Nicole (#45) 18.6 14 1.4 36 71.4 %
999993 Lauren (#46) 9.1 33 0.3 16 69.7 %
999989 Kelsey (#47) 12.7 22 0.6 23 77.3 %
999991 Alexis (#48) 10.9 26 0.4 19 69.2 %
999993 Nicholas (#49) 10.9 19 0.6 28 52.6 %
999993 Laura (#50) 10.0 51 0.2 11 56.9 %
999994 Kevin (#51) 7.2 20 0.4 23 75.0 %
999994 Katherine (#52) 6.8 38 0.2 14 65.8 %
999999 Megan (#53) 0.5 34 0.0 16 55.9 %
999997 Anthony (#54) 1.6 31 0.1 16 77.4 %
999998 Brianna (#55) 2.2 32 0.1 16 62.5 %
999996 Rebecca (#56) 4.7 13 0.4 39 61.5 %
999998 Justin (#57) 0.8 77 0.0 8 64.9 %
1000000 Alexandra (#58) -0.7 38 -0.0 14 68.4 %
1000000 Brittany (#59) -1.1 22 -0.1 23 72.7 %
1000001 Madison (#60) -3.4 25 -0.1 21 72.0 %
1000002 Aaron (#61) -4.2 85 -0.1 7 67.1 %
1000003 Kayla (#62) -5.5 28 -0.2 19 67.9 %
1000003 Melissa (#63) -6.5 22 -0.3 25 63.6 %
1000001 Alexander (#64) -3.3 47 -0.1 11 68.1 %
1000003 Christina (#65) -5.9 23 -0.3 22 73.9 %
1000005 Jessica (#66) -9.3 77 -0.1 8 66.2 %
1000004 Jonathan (#67) -8.5 44 -0.2 12 65.9 %
1000008 Abigail (#68) -13.1 70 -0.2 8 71.4 %
1000007 Jordan (#69) -11.0 33 -0.3 16 72.7 %
1000006 Kaitlyn (#70) -12.4 52 -0.2 11 55.8 %
1000006 Jesse (#71) -12.4 150 -0.1 4 57.3 %
1000011 Brian (#72) -19.8 36 -0.6 15 61.1 %
1000013 Amber (#73) -20.4 58 -0.3 10 70.7 %
1000013 Andrew (#74) -21.6 43 -0.5 13 62.8 %
1000011 Anna (#75) -20.9 34 -0.6 16 58.8 %
1000014 Adam (#76) -21.8 50 -0.4 11 66.0 %
1000015 John (#77) -26.2 58 -0.5 10 62.1 %
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