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
999967 Eric (#1) 32.0 6 5.3 61 100.0 %
999970 Patrick (#2) 28.7 6 4.8 50 100.0 %
999974 Morgan (#3) 29.1 8 3.6 39 87.5 %
999970 Danielle (#4) 29.5 7 4.1 53 100.0 %
999974 Daniel (#5) 28.2 10 2.8 32 90.0 %
999977 Nathan (#6) 25.7 6 4.3 63 83.3 %
999978 Mary (#7) 24.2 9 2.7 35 88.9 %
999978 Matthew (#8) 24.9 7 3.6 55 85.7 %
999976 Samantha (#9) 22.7 7 3.3 48 100.0 %
999976 Richard (#10) 22.5 6 3.8 58 100.0 %
999980 Amanda (#11) 21.4 13 1.6 28 92.3 %
999980 Chelsea (#12) 22.1 13 1.7 25 84.6 %
999980 Benjamin (#13) 21.9 19 1.2 18 84.2 %
999981 Alyssa (#14) 20.7 20 1.1 17 85.0 %
999983 Kimberly (#15) 19.0 11 1.7 29 81.8 %
999985 Joshua (#16) 17.5 12 1.4 27 83.3 %
999986 Kyle (#17) 17.5 8 2.3 47 75.0 %
999986 Sarah (#18) 19.6 6 3.3 55 66.7 %
999983 Brandon (#19) 18.0 11 1.6 34 90.9 %
999987 Haley (#20) 17.1 7 2.4 53 71.4 %
999985 Christian (#21) 16.4 7 2.3 53 85.7 %
999987 Megan (#22) 17.0 24 0.7 16 70.8 %
999990 Erin (#23) 15.0 8 1.9 48 62.5 %
999986 Ashley (#24) 15.3 18 0.8 20 88.9 %
999988 Juan (#25) 13.8 10 1.4 38 80.0 %
999988 Elizabeth (#26) 14.9 7 2.1 54 71.4 %
999991 Olivia (#27) 14.5 7 2.0 56 57.1 %
999987 Emily (#28) 14.4 6 2.3 52 83.3 %
999988 Melissa (#29) 14.3 16 0.9 22 75.0 %
999990 Lauren (#30) 13.4 24 0.5 15 70.8 %
999991 Allison (#31) 10.3 17 0.6 21 82.4 %
999992 David (#32) 9.9 13 0.8 30 69.2 %
999992 Charles (#33) 10.4 10 1.0 34 70.0 %
999990 Joseph (#34) 11.1 15 0.7 27 80.0 %
999992 Courtney (#35) 10.8 9 1.2 42 66.7 %
999993 Alexis (#36) 7.0 18 0.4 20 83.3 %
999994 Cameron (#37) 7.1 14 0.5 28 71.4 %
999993 Austin (#38) 7.8 13 0.6 27 76.9 %
999992 Anthony (#39) 7.9 22 0.4 17 81.8 %
999992 Brittany (#40) 7.7 16 0.5 22 81.3 %
999995 Maria (#41) 5.3 14 0.4 28 78.6 %
999995 Kevin (#42) 5.2 12 0.4 33 75.0 %
999996 Mark (#43) 3.9 9 0.4 44 77.8 %
999995 Christopher (#44) 4.5 14 0.4 28 78.6 %
999997 Michael (#45) 3.0 10 0.3 41 70.0 %
999998 Cody (#46) 2.4 11 0.2 35 63.6 %
999997 Brianna (#47) 3.1 21 0.1 17 71.4 %
999997 Jose (#48) 2.0 18 0.1 23 83.3 %
999998 Dylan (#49) 0.6 9 0.1 42 66.7 %
999998 Madison (#50) 1.5 16 0.1 22 56.3 %
999998 Nicholas (#51) 2.0 14 0.1 27 57.1 %
999999 Christina (#52) -0.3 15 0.0 24 73.3 %
999999 Rebecca (#53) 0.2 9 0.0 46 66.7 %
999998 Jonathan (#54) 2.3 33 0.1 11 69.7 %
999999 Kelsey (#55) 0.1 14 0.0 28 78.6 %
999999 Alexander (#56) 0.4 34 0.0 11 73.5 %
1000001 Alexandra (#57) -3.2 27 -0.1 14 66.7 %
1000000 Brian (#58) -1.6 26 -0.1 14 65.4 %
1000001 Jordan (#59) -3.4 25 -0.1 15 72.0 %
1000000 Kayla (#60) -2.1 18 -0.1 20 61.1 %
999999 Laura (#61) -0.4 34 0.0 12 55.9 %
999999 Katherine (#62) -0.4 28 0.0 13 67.9 %
1000002 Kaitlyn (#63) -4.7 34 -0.2 11 58.8 %
1000002 Anna (#64) -4.9 27 -0.2 14 66.7 %
1000002 Justin (#65) -5.3 54 -0.1 7 63.0 %
1000003 Andrew (#66) -6.3 31 -0.2 12 64.5 %
1000005 John (#67) -9.1 38 -0.2 10 63.2 %
1000005 Nicole (#68) -9.6 9 -1.1 46 55.6 %
1000006 Jessica (#69) -10.1 51 -0.2 8 66.7 %
1000006 Jesse (#70) -11.9 92 -0.1 5 56.5 %
1000007 Adam (#71) -11.0 35 -0.3 11 68.6 %
1000009 Abigail (#72) -14.2 43 -0.3 9 69.8 %
1000008 Aaron (#73) -13.9 58 -0.2 7 63.8 %
1000009 Amber (#74) -15.0 37 -0.4 10 67.6 %
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