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
999950 Haley (#1) 53.4 12 4.4 42 91.7 %
999958 Alexis (#2) 48.6 44 1.1 13 84.1 %
999953 Jacob (#3) 46.3 9 5.1 52 100.0 %
999968 Alexandra (#4) 40.2 54 0.7 12 77.8 %
999970 Samantha (#5) 42.1 10 4.2 55 70.0 %
999960 Kimberly (#6) 41.1 21 2.0 26 95.2 %
999967 Anthony (#7) 41.7 44 1.0 15 77.3 %
999960 Erin (#8) 41.6 13 3.2 42 92.3 %
999961 Rebecca (#9) 41.4 16 2.6 36 93.8 %
999968 Samuel (#10) 42.1 8 5.3 77 75.0 %
999966 Allison (#11) 39.5 34 1.2 16 85.3 %
999964 Austin (#12) 39.3 28 1.4 19 89.3 %
999966 Ashley (#13) 39.3 37 1.1 15 83.8 %
999959 Eric (#14) 39.9 8 5.0 41 100.0 %
999959 Ryan (#15) 40.4 6 6.7 60 100.0 %
999964 James (#16) 41.4 7 5.9 60 85.7 %
999968 Adam (#17) 40.0 85 0.5 9 76.5 %
999960 Nathan (#18) 39.2 11 3.6 35 100.0 %
999964 Joshua (#19) 40.3 26 1.5 22 88.5 %
999958 Jason (#20) 41.3 6 6.8 68 100.0 %
999972 Melissa (#21) 37.4 27 1.4 23 74.1 %
999962 Danielle (#22) 37.2 9 4.1 36 100.0 %
999967 Robert (#23) 35.7 9 4.0 64 88.9 %
999971 Katherine (#24) 39.3 57 0.7 13 71.9 %
999965 Juan (#25) 36.0 19 1.9 20 94.7 %
999969 Joseph (#26) 35.8 25 1.4 23 84.0 %
999971 Brittany (#27) 35.2 34 1.0 18 79.4 %
999967 Christina (#28) 37.9 31 1.2 20 83.9 %
999960 Heather (#29) 39.0 7 5.6 43 100.0 %
999964 Patrick (#30) 38.0 11 3.5 51 90.9 %
999972 Alexander (#31) 34.4 65 0.5 11 78.5 %
999972 Jonathan (#32) 37.5 60 0.6 12 71.7 %
999970 Kyle (#33) 35.1 18 1.9 22 83.3 %
999969 Courtney (#34) 35.3 15 2.3 34 86.7 %
999969 Olivia (#35) 36.6 11 3.4 51 81.8 %
999971 Kayla (#36) 35.6 35 1.0 18 77.1 %
999970 Charles (#37) 35.2 19 1.8 27 84.2 %
999963 Rachel (#38) 35.6 7 5.1 53 100.0 %
999968 Benjamin (#39) 35.3 19 1.8 25 89.5 %
999976 Justin (#40) 33.5 108 0.3 7 66.7 %
999976 Lauren (#41) 33.6 46 0.7 15 67.4 %
999975 Madison (#42) 32.8 28 1.2 23 71.4 %
999975 Christopher (#43) 30.3 24 1.3 24 79.2 %
999968 Matthew (#44) 31.1 12 2.6 32 100.0 %
999969 Emily (#45) 32.8 11 3.0 40 90.9 %
999972 Mary (#46) 33.9 15 2.3 37 80.0 %
999975 Jessica (#47) 34.0 111 0.3 7 69.4 %
999970 Sarah (#48) 36.8 9 4.1 74 77.8 %
999976 Brianna (#49) 33.3 41 0.8 16 70.7 %
999976 Megan (#50) 33.8 44 0.8 15 68.2 %
999973 Kelsey (#51) 30.5 30 1.0 20 83.3 %
999972 Chelsea (#52) 32.3 13 2.5 36 84.6 %
999970 Elizabeth (#53) 31.6 11 2.9 46 90.9 %
999972 Morgan (#54) 33.4 12 2.8 47 83.3 %
999976 Cameron (#55) 29.5 24 1.2 22 79.2 %
999977 Jose (#56) 28.3 37 0.8 17 78.4 %
999972 Alyssa (#57) 31.3 26 1.2 18 88.5 %
999972 Hannah (#58) 31.0 7 4.4 61 85.7 %
999974 Michael (#59) 29.4 20 1.5 30 85.0 %
999979 Aaron (#60) 28.3 125 0.2 6 72.8 %
999979 Brian (#61) 28.1 50 0.6 14 72.0 %
999979 Laura (#62) 29.7 73 0.4 10 67.1 %
999974 Christian (#63) 26.5 11 2.5 31 90.9 %
999974 Daniel (#64) 27.5 11 2.6 42 90.9 %
999978 John (#65) 30.3 82 0.4 9 70.7 %
999980 Maria (#66) 27.3 23 1.2 27 69.6 %
999975 Brandon (#67) 26.2 15 1.7 23 93.3 %
999980 Amber (#68) 25.8 82 0.3 9 72.0 %
999981 Jordan (#69) 24.8 44 0.6 15 70.5 %
999979 Dylan (#70) 26.2 13 2.0 40 76.9 %
999981 Nicole (#71) 25.7 17 1.5 39 70.6 %
999979 Abigail (#72) 27.0 98 0.3 8 74.5 %
999978 Andrew (#73) 27.1 67 0.4 11 76.1 %
999980 Kaitlyn (#74) 27.6 75 0.4 9 68.0 %
999980 Cody (#75) 24.4 16 1.5 32 81.3 %
999980 Mark (#76) 25.0 17 1.5 33 76.5 %
999980 Richard (#77) 23.7 10 2.4 54 80.0 %
999981 Jesse (#78) 27.7 191 0.2 4 64.4 %
999982 Anna (#79) 23.6 48 0.5 14 68.8 %
999980 Kevin (#80) 21.5 20 1.1 28 85.0 %
999981 David (#81) 21.9 18 1.2 32 83.3 %
999980 Michelle (#82) 24.4 15 1.6 38 80.0 %
999978 Amanda (#83) 22.8 15 1.5 23 93.3 %
999986 Nicholas (#84) 18.2 29 0.6 22 72.4 %
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