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
999954 Haley (#1) 50.4 11 4.6 40 90.9 %
999961 Alexis (#2) 44.7 38 1.2 13 84.2 %
999954 Jacob (#3) 44.7 8 5.6 50 100.0 %
999968 Ashley (#4) 36.1 33 1.1 15 84.9 %
999966 Rebecca (#5) 35.8 14 2.6 35 92.9 %
999973 Samuel (#6) 37.4 7 5.3 76 71.4 %
999964 Kimberly (#7) 37.0 19 2.0 25 94.7 %
999966 Patrick (#8) 36.9 10 3.7 49 90.0 %
999973 Brittany (#9) 33.3 30 1.1 17 80.0 %
999970 Allison (#10) 33.7 27 1.3 17 85.2 %
999969 Joshua (#11) 33.6 23 1.5 21 87.0 %
999973 Samantha (#12) 34.9 8 4.4 58 75.0 %
999972 Alexandra (#13) 34.1 46 0.7 12 78.3 %
999970 Robert (#14) 32.9 8 4.1 63 87.5 %
999970 James (#15) 35.3 6 5.8 60 83.3 %
999972 Benjamin (#16) 31.4 17 1.8 24 88.2 %
999971 Elizabeth (#17) 30.7 10 3.1 45 90.0 %
999969 Juan (#18) 31.7 17 1.9 21 94.1 %
999966 Danielle (#19) 33.4 8 4.1 38 100.0 %
999965 Heather (#20) 33.8 6 5.7 46 100.0 %
999967 Eric (#21) 32.2 7 4.6 43 100.0 %
999968 Rachel (#22) 31.4 6 5.2 58 100.0 %
999976 Anthony (#23) 31.1 36 0.9 15 75.0 %
999972 Austin (#24) 30.2 22 1.4 20 90.9 %
999973 Chelsea (#25) 31.5 12 2.6 34 83.3 %
999971 Joseph (#26) 32.0 22 1.5 22 86.4 %
999971 Erin (#27) 31.4 10 3.1 47 90.0 %
999974 Kyle (#28) 30.7 16 1.9 23 81.3 %
999967 Nathan (#29) 31.6 10 3.2 36 100.0 %
999976 Christopher (#30) 28.2 21 1.3 24 81.0 %
999976 Cameron (#31) 28.0 21 1.3 22 81.0 %
999974 Courtney (#32) 30.4 13 2.3 33 84.6 %
999976 Adam (#33) 30.0 68 0.4 8 76.5 %
999975 Christina (#34) 29.2 25 1.2 21 84.0 %
999971 Emily (#35) 30.9 10 3.1 38 90.0 %
999976 Morgan (#36) 28.7 10 2.9 48 80.0 %
999971 Matthew (#37) 28.0 11 2.6 33 100.0 %
999979 Melissa (#38) 27.8 20 1.4 27 70.0 %
999978 Olivia (#39) 26.6 9 3.0 52 77.8 %
999976 Hannah (#40) 28.4 6 4.7 62 83.3 %
999980 Katherine (#41) 27.2 45 0.6 13 68.9 %
999976 Michael (#42) 26.0 17 1.5 31 88.2 %
999977 Mary (#43) 28.4 13 2.2 36 76.9 %
999983 Maria (#44) 23.9 19 1.3 28 68.4 %
999976 Daniel (#45) 25.1 10 2.5 40 90.0 %
999981 Nicole (#46) 24.7 15 1.7 38 73.3 %
999978 Kelsey (#47) 24.7 25 1.0 21 84.0 %
999981 Megan (#48) 26.5 36 0.8 15 66.7 %
999976 Alyssa (#49) 25.0 22 1.1 19 90.9 %
999979 Charles (#50) 23.6 13 1.9 33 84.6 %
999984 Jessica (#51) 22.2 87 0.3 7 69.0 %
999984 Lauren (#52) 23.3 36 0.6 15 63.9 %
999982 Jose (#53) 21.6 30 0.7 18 76.7 %
999985 Brianna (#54) 21.1 32 0.7 17 68.8 %
999979 Brandon (#55) 21.7 14 1.6 23 92.9 %
999979 Christian (#56) 22.0 10 2.2 31 90.0 %
999984 Kayla (#57) 19.9 26 0.8 20 76.9 %
999985 Madison (#58) 19.5 21 1.0 25 71.4 %
999984 Alexander (#59) 18.7 51 0.4 11 76.5 %
999982 Cody (#60) 20.1 13 1.5 33 84.6 %
999981 Amanda (#61) 19.2 14 1.4 23 92.9 %
999985 Justin (#62) 20.6 85 0.3 7 68.2 %
999985 Richard (#63) 18.5 8 2.4 57 75.0 %
999985 Abigail (#64) 18.8 77 0.3 7 75.3 %
999985 Amber (#65) 18.9 64 0.3 9 71.9 %
999983 Kevin (#66) 18.1 17 1.1 28 88.2 %
999986 Dylan (#67) 16.0 10 1.6 44 80.0 %
999985 Aaron (#68) 18.8 95 0.2 6 73.7 %
999986 Mark (#69) 17.2 14 1.2 33 78.6 %
999985 David (#70) 16.1 15 1.1 33 86.7 %
999989 Jordan (#71) 14.7 35 0.4 15 68.6 %
999989 Kaitlyn (#72) 15.0 59 0.3 9 66.1 %
999989 Laura (#73) 15.1 57 0.3 10 64.9 %
999989 Brian (#74) 15.4 39 0.4 15 69.2 %
999987 Jonathan (#75) 16.9 46 0.4 12 69.6 %
999988 Andrew (#76) 15.2 51 0.3 11 74.5 %
999989 John (#77) 14.3 63 0.2 9 71.4 %
999989 Anna (#78) 15.4 40 0.4 14 67.5 %
999989 Nicholas (#79) 13.6 23 0.6 23 69.6 %
999989 Michelle (#80) 13.1 12 1.1 39 75.0 %
999989 Sarah (#81) 13.6 7 2.0 73 71.4 %
999994 Jesse (#82) 7.7 144 0.1 4 63.2 %
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