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
999945 Nicole (#1) 68.1 25 2.7 33 80.0 %
999952 Michael (#2) 56.2 26 2.2 32 84.6 %
999954 Jose (#3) 54.3 49 1.1 17 83.7 %
999957 Rebecca (#4) 54.0 26 2.1 33 76.9 %
999952 Alyssa (#5) 51.1 42 1.2 14 92.9 %
999955 Christopher (#6) 52.8 36 1.5 22 83.3 %
999959 Kelsey (#7) 46.4 43 1.1 19 86.1 %
999959 Haley (#8) 46.9 14 3.4 43 85.7 %
999960 Erin (#9) 43.8 17 2.6 40 88.2 %
999960 Mark (#10) 42.1 25 1.7 29 92.0 %
999962 Cameron (#11) 43.8 36 1.2 21 83.3 %
999960 Benjamin (#12) 43.4 34 1.3 17 91.2 %
999966 Maria (#13) 44.5 33 1.4 25 72.7 %
999960 Elizabeth (#14) 43.7 16 2.8 41 87.5 %
999965 Michelle (#15) 39.6 20 2.0 36 85.0 %
999968 Nicholas (#16) 42.4 40 1.1 22 75.0 %
999976 Samantha (#17) 39.1 15 2.6 51 60.0 %
999970 Laura (#18) 44.1 92 0.5 10 65.2 %
999969 Katherine (#19) 40.9 69 0.6 13 73.9 %
999965 Allison (#20) 39.4 43 0.9 16 86.1 %
999964 Courtney (#21) 39.4 20 2.0 34 90.0 %
999966 Amanda (#22) 35.4 20 1.8 24 95.0 %
999965 Ashley (#23) 38.6 47 0.8 17 87.2 %
999967 Brandon (#24) 35.8 18 2.0 26 88.9 %
999968 Alexis (#25) 39.4 51 0.8 16 80.4 %
999971 Dylan (#26) 33.6 18 1.9 39 83.3 %
999973 Richard (#27) 32.9 14 2.4 51 78.6 %
999974 Justin (#28) 37.3 139 0.3 7 68.4 %
999972 Olivia (#29) 33.2 16 2.1 44 81.3 %
999971 Christian (#30) 32.6 13 2.5 36 84.6 %
999972 Brittany (#31) 35.0 46 0.8 18 78.3 %
999971 Austin (#32) 31.7 33 1.0 21 87.9 %
999974 Emily (#33) 30.3 12 2.5 45 83.3 %
999973 David (#34) 32.1 26 1.2 30 80.8 %
999973 Joseph (#35) 31.4 41 0.8 18 82.9 %
999973 Eric (#36) 30.1 8 3.8 55 87.5 %
999973 Charles (#37) 31.3 23 1.4 29 82.6 %
999971 Chelsea (#38) 31.0 18 1.7 32 88.9 %
999969 Jacob (#39) 33.6 9 3.8 63 88.9 %
999970 Juan (#40) 32.0 20 1.6 25 90.0 %
999971 Christina (#41) 32.7 44 0.8 19 84.1 %
999974 Alexandra (#42) 31.6 66 0.5 13 78.8 %
999977 Brianna (#43) 30.3 55 0.6 16 74.6 %
999977 Kevin (#44) 26.2 32 0.8 23 84.4 %
999973 Matthew (#45) 28.1 12 2.3 42 91.7 %
999977 Daniel (#46) 25.6 14 1.9 40 85.7 %
999979 Kyle (#47) 26.7 16 1.7 32 75.0 %
999978 Madison (#48) 25.8 43 0.6 20 79.1 %
999979 Cody (#49) 25.6 22 1.2 32 77.3 %
999979 Patrick (#50) 25.2 10 2.5 60 80.0 %
999977 Jonathan (#51) 29.3 74 0.4 12 75.7 %
999978 Kayla (#52) 26.3 53 0.5 16 79.3 %
999981 Morgan (#53) 24.3 13 1.9 47 76.9 %
999981 Heather (#54) 22.0 6 3.7 67 83.3 %
999979 Danielle (#55) 23.0 8 2.9 56 87.5 %
999982 Hannah (#56) 23.6 7 3.4 77 71.4 %
999977 Alexander (#57) 28.4 79 0.4 11 77.2 %
999982 Jordan (#58) 23.2 61 0.4 14 75.4 %
999981 Robert (#59) 23.1 9 2.6 68 77.8 %
999979 Anthony (#60) 25.6 50 0.5 17 78.0 %
999981 Nathan (#61) 21.9 12 1.8 42 83.3 %
999983 Abigail (#62) 22.3 125 0.2 7 72.0 %
999984 Kaitlyn (#63) 22.4 92 0.2 10 66.3 %
999980 Joshua (#64) 21.2 27 0.8 23 92.6 %
999984 Melissa (#65) 21.7 36 0.6 24 66.7 %
999985 Mary (#66) 16.6 16 1.1 37 81.3 %
999988 Samuel (#67) 17.1 8 2.1 82 62.5 %
999984 Jessica (#68) 23.0 141 0.2 7 65.3 %
999985 Lauren (#69) 19.6 56 0.4 15 67.9 %
999985 Kimberly (#70) 16.1 19 0.8 33 89.5 %
999986 Brian (#71) 18.2 62 0.3 14 72.6 %
999986 James (#72) 17.3 8 2.1 65 75.0 %
999988 Rachel (#73) 13.4 7 1.9 67 85.7 %
999987 Anna (#74) 16.3 61 0.3 14 73.8 %
999991 Megan (#75) 13.2 53 0.3 16 62.3 %
999991 Amber (#76) 12.3 99 0.1 9 68.7 %
999990 Andrew (#77) 12.9 77 0.2 12 72.7 %
999993 Sarah (#78) 8.1 7 1.1 94 71.4 %
999988 Adam (#79) 14.7 99 0.2 9 71.7 %
999991 Aaron (#80) 12.0 147 0.1 7 70.1 %
1000000 John (#81) -1.0 98 -0.0 9 67.4 %
1000000 Jesse (#82) -2.1 221 -0.0 5 61.5 %
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