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
999958 Haley (#1) 45.5 10 4.5 43 90.0 %
999962 Kimberly (#2) 39.2 19 2.1 26 94.7 %
999970 Katherine (#3) 38.2 45 0.8 12 75.6 %
999967 Joshua (#4) 37.0 22 1.7 23 86.4 %
999972 Adam (#5) 35.0 68 0.5 8 77.9 %
999969 Alexis (#6) 35.7 32 1.1 15 84.4 %
999966 Erin (#7) 36.2 11 3.3 44 90.9 %
999973 Samuel (#8) 36.4 7 5.1 75 71.4 %
999972 Jonathan (#9) 37.1 47 0.8 11 72.3 %
999974 Lauren (#10) 35.8 37 1.0 13 70.3 %
999971 Melissa (#11) 35.3 20 1.8 23 80.0 %
999969 Allison (#12) 34.7 28 1.3 17 85.7 %
999969 Austin (#13) 34.8 23 1.5 20 87.0 %
999972 Samantha (#14) 36.1 8 4.5 57 75.0 %
999963 Jacob (#15) 35.8 7 5.1 57 100.0 %
999972 Charles (#16) 33.2 17 1.9 27 82.4 %
999972 Joseph (#17) 31.5 19 1.7 26 84.2 %
999970 Benjamin (#18) 33.0 17 1.9 24 88.2 %
999965 Heather (#19) 33.7 6 5.7 46 100.0 %
999971 Patrick (#20) 31.9 9 3.6 54 88.9 %
999974 Alexandra (#21) 31.8 40 0.8 12 77.5 %
999975 Madison (#22) 32.9 21 1.6 22 71.4 %
999966 Eric (#23) 33.4 6 5.5 48 100.0 %
999972 Mary (#24) 32.3 13 2.5 37 84.6 %
999976 Jessica (#25) 32.5 83 0.4 7 71.1 %
999977 Anthony (#26) 29.1 30 1.0 16 76.7 %
999974 Kayla (#27) 31.4 24 1.3 19 79.2 %
999979 Megan (#28) 30.5 35 0.9 14 65.7 %
999971 Morgan (#29) 31.4 10 3.1 49 90.0 %
999977 Justin (#30) 31.1 80 0.4 7 70.0 %
999969 Kyle (#31) 29.5 11 2.7 31 100.0 %
999973 Courtney (#32) 31.2 13 2.4 35 84.6 %
999976 Olivia (#33) 30.2 9 3.3 55 77.8 %
999975 Sarah (#34) 32.2 8 4.0 75 75.0 %
999975 Christina (#35) 28.3 21 1.3 21 85.7 %
999971 Nathan (#36) 28.3 6 4.7 57 100.0 %
999975 Chelsea (#37) 28.7 11 2.6 38 81.8 %
999974 Elizabeth (#38) 27.7 9 3.1 49 88.9 %
999978 Aaron (#39) 28.3 96 0.3 6 76.0 %
999978 Ashley (#40) 26.4 26 1.0 18 80.8 %
999970 Danielle (#41) 29.4 7 4.1 42 100.0 %
999974 Alyssa (#42) 29.0 23 1.3 18 87.0 %
999974 Robert (#43) 28.6 7 4.1 71 85.7 %
999979 John (#44) 28.0 64 0.4 9 71.9 %
999976 Juan (#45) 24.9 11 2.3 29 90.9 %
999982 Brianna (#46) 24.3 29 0.8 16 69.0 %
999980 Amber (#47) 25.2 67 0.4 8 74.6 %
999979 Alexander (#48) 26.4 48 0.5 11 77.1 %
999981 Brian (#49) 24.6 38 0.7 14 73.7 %
999981 Laura (#50) 26.5 56 0.5 10 67.9 %
999977 Daniel (#51) 24.7 9 2.8 45 88.9 %
999976 Emily (#52) 26.2 8 3.3 48 87.5 %
999980 Abigail (#53) 25.1 77 0.3 7 76.6 %
999980 Andrew (#54) 24.1 54 0.4 10 77.8 %
999982 Kaitlyn (#55) 24.0 58 0.4 9 70.7 %
999982 Brittany (#56) 21.3 20 1.1 22 80.0 %
999984 Mark (#57) 21.4 13 1.6 38 69.2 %
999983 Kelsey (#58) 21.3 21 1.0 21 76.2 %
999982 Dylan (#59) 24.2 11 2.2 42 72.7 %
999979 Michelle (#60) 23.8 13 1.9 38 84.6 %
999977 Matthew (#61) 22.5 7 3.1 48 100.0 %
999984 Jesse (#62) 22.9 147 0.2 4 65.3 %
999985 Cody (#63) 19.4 12 1.6 37 75.0 %
999980 Rebecca (#64) 21.3 11 1.9 41 90.9 %
999982 Amanda (#65) 18.9 11 1.7 27 90.9 %
999981 Brandon (#66) 20.2 11 1.8 27 90.9 %
999984 Jordan (#67) 20.5 30 0.7 16 73.3 %
999983 Cameron (#68) 21.0 16 1.3 28 75.0 %
999984 Christopher (#69) 19.9 16 1.3 27 75.0 %
999980 Christian (#70) 20.7 9 2.3 33 88.9 %
999986 Maria (#71) 17.6 17 1.1 27 70.6 %
999985 Michael (#72) 18.0 14 1.3 32 78.6 %
999986 Richard (#73) 16.9 8 2.1 57 75.0 %
999986 Anna (#74) 18.8 34 0.6 15 67.7 %
999985 Kevin (#75) 18.5 15 1.2 33 80.0 %
999988 Jose (#76) 14.5 26 0.6 18 73.1 %
999991 Nicholas (#77) 11.7 21 0.6 22 66.7 %
999990 David (#78) 12.3 11 1.1 40 72.7 %
999993 Nicole (#79) 9.3 11 0.8 40 63.6 %
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