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
999948 Jason (#1) 51.3 7 7.3 74 100.0 %
999948 Jasmine (#2) 51.4 6 8.5 77 100.0 %
999959 Samuel (#3) 48.1 6 8.0 98 83.3 %
999950 Eric (#4) 48.5 12 4.1 44 100.0 %
999950 Danielle (#5) 48.7 13 3.8 41 100.0 %
999958 Kyle (#6) 43.3 21 2.1 25 95.2 %
999956 Matthew (#7) 45.0 18 2.5 30 94.4 %
999956 Jacob (#8) 43.3 10 4.3 56 100.0 %
999959 James (#9) 47.4 7 6.7 73 85.7 %
999958 Robert (#10) 45.8 9 5.1 63 88.9 %
999953 Sara (#11) 45.8 7 6.6 71 100.0 %
999959 Juan (#12) 41.7 24 1.8 23 95.8 %
999962 Emily (#13) 41.1 11 3.7 50 90.9 %
999957 Patrick (#14) 42.4 9 4.7 61 100.0 %
999963 Heather (#15) 39.9 9 4.4 54 88.9 %
999962 Amanda (#16) 37.5 26 1.5 22 96.2 %
999962 Brandon (#17) 38.9 19 2.1 29 94.7 %
999960 Hannah (#18) 38.9 11 3.6 50 100.0 %
999965 Nathan (#19) 36.9 12 3.1 45 91.7 %
999967 Haley (#20) 35.0 12 2.9 47 91.7 %
999967 Christian (#21) 33.9 14 2.4 38 92.9 %
999967 Rachel (#22) 36.6 8 4.6 66 87.5 %
999971 Samantha (#23) 33.6 11 3.1 52 81.8 %
999967 Ryan (#24) 37.4 8 4.6 65 87.5 %
999973 Erin (#25) 31.0 12 2.6 47 83.3 %
999971 Morgan (#26) 30.5 12 2.6 46 91.7 %
999976 Nicole (#27) 32.1 14 2.3 39 71.4 %
999977 Kaitlyn (#28) 29.7 55 0.6 11 72.7 %
999974 Benjamin (#29) 28.2 21 1.3 28 90.5 %
999975 Rebecca (#30) 31.3 13 2.4 43 76.9 %
999972 Daniel (#31) 29.0 12 2.4 46 91.7 %
999974 Charles (#32) 27.7 20 1.4 29 90.0 %
999974 Richard (#33) 28.4 9 3.1 64 88.9 %
999977 Alyssa (#34) 23.9 23 1.0 25 91.3 %
999976 Kimberly (#35) 25.9 15 1.7 38 86.7 %
999976 Chelsea (#36) 26.4 16 1.6 36 87.5 %
999983 Michael (#37) 26.5 16 1.6 35 62.5 %
999979 Courtney (#38) 24.7 14 1.8 40 78.6 %
999976 Elizabeth (#39) 25.4 11 2.3 51 90.9 %
999979 Michelle (#40) 24.0 13 1.9 44 84.6 %
999983 Joseph (#41) 22.3 25 0.9 24 72.0 %
999980 Joshua (#42) 23.1 19 1.2 30 84.2 %
999983 Olivia (#43) 21.0 12 1.8 47 75.0 %
999981 Mary (#44) 23.7 13 1.9 43 76.9 %
999981 Mark (#45) 20.5 14 1.5 41 85.7 %
999984 David (#46) 21.7 19 1.2 31 68.4 %
999982 Dylan (#47) 21.8 14 1.6 41 78.6 %
999984 Jose (#48) 18.6 31 0.6 19 77.4 %
999985 Jonathan (#49) 19.7 43 0.5 14 72.1 %
999984 Allison (#50) 18.4 25 0.7 24 84.0 %
999986 Maria (#51) 20.1 19 1.1 29 63.2 %
999982 Cody (#52) 21.2 15 1.4 38 80.0 %
999987 Sarah (#53) 17.9 6 3.0 85 66.7 %
999985 Cameron (#54) 20.2 22 0.9 27 68.2 %
999984 Austin (#55) 17.8 22 0.8 26 81.8 %
999987 Christopher (#56) 16.9 22 0.8 26 72.7 %
999987 Alexander (#57) 16.8 49 0.4 12 73.5 %
999988 Anthony (#58) 16.3 31 0.5 19 71.0 %
999987 Brianna (#59) 16.5 33 0.5 18 72.7 %
999988 John (#60) 17.5 60 0.3 10 63.3 %
999987 Katherine (#61) 16.9 39 0.4 15 71.8 %
999987 Laura (#62) 19.0 52 0.4 11 65.4 %
999985 Kevin (#63) 16.6 18 0.9 32 83.3 %
999987 Alexandra (#64) 15.5 39 0.4 15 76.9 %
999988 Anna (#65) 14.1 41 0.3 15 75.6 %
999989 Brian (#66) 14.1 38 0.4 15 71.1 %
999989 Justin (#67) 15.9 79 0.2 8 63.3 %
999988 Ashley (#68) 14.7 26 0.6 22 73.1 %
999990 Lauren (#69) 14.4 33 0.4 17 63.6 %
999990 Andrew (#70) 12.6 47 0.3 12 70.2 %
999988 Jordan (#71) 14.0 37 0.4 16 78.4 %
999989 Kelsey (#72) 14.0 23 0.6 25 69.6 %
999991 Alexis (#73) 10.9 31 0.4 19 71.0 %
999992 Kayla (#74) 9.9 31 0.3 19 67.7 %
999995 Adam (#75) 6.3 56 0.1 10 73.2 %
999993 Amber (#76) 8.2 59 0.1 10 69.5 %
999993 Brittany (#77) 8.3 24 0.3 24 70.8 %
999995 Megan (#78) 7.8 35 0.2 16 54.3 %
999996 Madison (#79) 5.7 23 0.3 25 56.5 %
999996 Jessica (#80) 3.9 79 0.1 8 64.6 %
999998 Christina (#81) 1.6 23 0.1 24 65.2 %
1000002 Abigail (#82) -5.1 71 -0.1 8 67.6 %
1000002 Jesse (#83) -4.2 136 -0.0 5 63.2 %
1000006 Aaron (#84) -11.4 82 -0.1 7 62.2 %
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