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
999951 Nicole (#1) 55.4 15 3.7 29 86.7 %
999961 Michelle (#2) 41.4 16 2.6 30 93.8 %
999962 Alyssa (#3) 40.0 30 1.3 13 93.3 %
999964 Michael (#4) 43.2 16 2.7 32 81.3 %
999965 Mark (#5) 35.6 18 2.0 27 94.4 %
999964 Erin (#6) 37.5 13 2.9 35 92.3 %
999966 Elizabeth (#7) 36.4 12 3.0 36 91.7 %
999968 Jose (#8) 36.4 29 1.2 17 86.2 %
999969 Christopher (#9) 35.1 23 1.5 21 87.0 %
999967 Haley (#10) 35.6 10 3.6 39 90.0 %
999968 Kelsey (#11) 35.0 27 1.3 19 88.9 %
999969 Benjamin (#12) 33.4 26 1.3 15 92.3 %
999972 Dylan (#13) 31.8 14 2.3 33 85.7 %
999975 Rebecca (#14) 32.9 18 1.8 30 72.2 %
999974 Maria (#15) 31.7 22 1.5 23 77.3 %
999973 Nicholas (#16) 34.4 25 1.4 21 76.0 %
999973 Cameron (#17) 30.2 23 1.3 22 87.0 %
999971 Courtney (#18) 30.4 14 2.1 32 92.9 %
999974 Brandon (#19) 28.4 10 2.8 31 90.0 %
999975 Olivia (#20) 29.0 12 2.4 38 83.3 %
999981 Samantha (#21) 27.8 11 2.6 45 63.6 %
999972 Amanda (#22) 28.5 12 2.4 27 91.7 %
999975 Allison (#23) 27.4 30 0.9 16 90.0 %
999974 Chelsea (#24) 27.3 14 1.9 27 92.9 %
999979 Kevin (#25) 24.1 24 1.0 20 83.3 %
999977 Christian (#26) 25.0 8 3.1 39 87.5 %
999979 Richard (#27) 25.2 10 2.5 46 80.0 %
999978 Emily (#28) 25.3 7 3.6 50 85.7 %
999981 David (#29) 23.8 17 1.4 28 76.5 %
999986 Laura (#30) 21.4 53 0.4 10 64.2 %
999979 Daniel (#31) 22.3 10 2.2 36 90.0 %
999979 Austin (#32) 22.6 23 1.0 20 87.0 %
999980 Ashley (#33) 21.5 28 0.8 18 89.3 %
999979 Charles (#34) 24.2 17 1.4 27 82.4 %
999983 Katherine (#35) 21.4 40 0.5 13 77.5 %
999982 Joseph (#36) 20.9 30 0.7 17 83.3 %
999979 Morgan (#37) 21.5 9 2.4 41 88.9 %
999984 Cody (#38) 19.9 16 1.3 30 75.0 %
999983 Patrick (#39) 19.1 6 3.2 60 83.3 %
999984 Kayla (#40) 18.1 35 0.5 15 82.9 %
999984 Madison (#41) 18.4 30 0.6 17 83.3 %
999986 Alexis (#42) 16.4 29 0.6 18 79.3 %
999985 Christina (#43) 16.8 27 0.6 19 85.2 %
999986 Matthew (#44) 16.2 6 2.7 54 83.3 %
999986 Juan (#45) 15.6 10 1.6 33 80.0 %
999986 Kyle (#46) 14.7 7 2.1 46 85.7 %
999989 Justin (#47) 14.6 80 0.2 7 66.3 %
999987 Brittany (#48) 14.5 25 0.6 20 80.0 %
999985 Mary (#49) 14.7 11 1.4 33 90.9 %
999988 Jordan (#50) 13.3 37 0.4 14 81.1 %
999987 Kimberly (#51) 13.1 14 0.9 28 92.9 %
999988 Brianna (#52) 14.7 34 0.4 15 76.5 %
999991 Jonathan (#53) 11.2 44 0.3 12 75.0 %
999990 Alexandra (#54) 10.5 37 0.3 14 78.4 %
999987 Joshua (#55) 12.5 18 0.7 22 94.4 %
999992 Alexander (#56) 9.7 45 0.2 11 73.3 %
999994 Lauren (#57) 7.7 32 0.3 16 65.6 %
999994 Nathan (#58) 7.8 6 1.3 54 66.7 %
999994 Anthony (#59) 6.3 28 0.2 18 82.1 %
999994 Melissa (#60) 7.5 24 0.3 21 66.7 %
999997 Brian (#61) 3.1 37 0.1 14 73.0 %
999998 Anna (#62) 1.8 35 0.1 15 74.3 %
1000000 Abigail (#63) -2.0 72 -0.0 8 68.1 %
999999 Megan (#64) -0.4 31 0.0 17 58.1 %
1000002 Andrew (#65) -4.5 44 -0.1 12 68.2 %
1000002 Jessica (#66) -5.1 79 -0.1 7 60.8 %
1000003 Kaitlyn (#67) -6.7 53 -0.1 10 64.2 %
1000007 Amber (#68) -11.7 56 -0.2 9 64.3 %
1000008 Aaron (#69) -13.8 82 -0.2 7 65.9 %
1000007 Adam (#70) -12.9 54 -0.2 10 64.8 %
1000009 Jesse (#71) -16.6 127 -0.1 5 59.1 %
1000012 John (#72) -20.8 56 -0.4 9 64.3 %
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