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


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Sort Factor Algorithm % Result # Trades % Result/Trade Days/Trade Hit % Detailed View
999954 Morgan (#1) 47.6 14 3.4 30 92.9 %
999956 Patrick (#2) 47.5 12 3.9 34 91.7 %
999956 Mary (#3) 45.9 16 2.9 27 93.8 %
999951 Robert (#4) 47.9 10 4.8 43 100.0 %
999954 Jacob (#5) 44.7 8 5.6 46 100.0 %
999955 Samuel (#6) 43.9 7 6.3 66 100.0 %
999959 Daniel (#7) 43.0 15 2.9 26 93.3 %
999956 Eric (#8) 42.5 8 5.4 47 100.0 %
999959 James (#9) 40.3 6 6.7 54 100.0 %
999958 Richard (#10) 41.0 9 4.6 51 100.0 %
999959 Samantha (#11) 40.3 10 4.0 47 100.0 %
999960 Danielle (#12) 38.7 9 4.3 43 100.0 %
999964 Alyssa (#13) 39.1 28 1.4 15 89.3 %
999966 Haley (#14) 39.7 11 3.6 43 81.8 %
999964 Benjamin (#15) 38.5 26 1.5 16 88.5 %
999966 Chelsea (#16) 37.4 20 1.9 20 90.0 %
999966 Kimberly (#17) 37.0 20 1.9 22 90.0 %
999963 Rachel (#18) 35.6 6 6.0 71 100.0 %
999969 Joshua (#19) 35.1 22 1.6 20 86.4 %
999965 Hannah (#20) 34.2 9 3.8 38 100.0 %
999970 Ashley (#21) 33.8 29 1.2 17 86.2 %
999969 Matthew (#22) 34.3 9 3.8 44 88.9 %
999970 Nathan (#23) 33.3 8 4.1 49 87.5 %
999968 Emily (#24) 34.3 10 3.4 39 90.0 %
999976 Megan (#25) 31.5 36 0.9 15 72.2 %
999973 Charles (#26) 31.0 18 1.7 26 83.3 %
999974 Joseph (#27) 28.2 25 1.1 21 88.0 %
999976 Elizabeth (#28) 28.6 10 2.9 47 80.0 %
999976 Sarah (#29) 30.3 9 3.3 52 77.8 %
999975 Lauren (#30) 31.7 37 0.9 14 75.7 %
999974 Brandon (#31) 26.6 13 2.1 30 92.3 %
999980 Olivia (#32) 27.3 10 2.7 50 70.0 %
999975 Allison (#33) 27.5 29 1.0 17 86.2 %
999976 Austin (#34) 27.5 23 1.2 20 87.0 %
999979 Erin (#35) 27.4 12 2.3 40 75.0 %
999974 Amanda (#36) 26.6 16 1.7 24 93.8 %
999975 Christian (#37) 27.0 9 3.0 43 88.9 %
999979 Kyle (#38) 24.9 10 2.5 39 80.0 %
999978 Anthony (#39) 26.2 37 0.7 14 81.1 %
999978 Alexis (#40) 26.3 30 0.9 17 80.0 %
999981 Courtney (#41) 24.4 13 1.9 37 76.9 %
999982 Brianna (#42) 22.8 34 0.7 15 73.5 %
999981 Brittany (#43) 21.7 25 0.9 20 80.0 %
999982 Juan (#44) 20.8 12 1.8 33 83.3 %
999985 Melissa (#45) 19.0 23 0.8 22 73.9 %
999985 David (#46) 18.5 18 1.0 28 77.8 %
999985 Cameron (#47) 17.4 22 0.8 24 81.8 %
999984 Katherine (#48) 21.0 42 0.5 13 69.1 %
999985 Jose (#49) 17.0 30 0.6 18 80.0 %
999986 Jonathan (#50) 18.4 49 0.4 11 71.4 %
999985 Mark (#51) 16.0 14 1.1 37 85.7 %
999986 Alexander (#52) 17.7 52 0.4 10 75.0 %
999988 Dylan (#53) 13.7 13 1.1 38 76.9 %
999988 Christopher (#54) 13.5 21 0.6 25 81.0 %
999988 Maria (#55) 13.9 22 0.6 24 77.3 %
999990 Michelle (#56) 13.7 12 1.2 43 66.7 %
999987 Rebecca (#57) 15.4 13 1.2 44 76.9 %
999988 Kevin (#58) 13.7 18 0.8 29 77.8 %
999988 Jordan (#59) 15.3 38 0.4 14 76.3 %
999987 Alexandra (#60) 16.4 43 0.4 12 72.1 %
999990 Cody (#61) 12.2 17 0.7 30 76.5 %
999990 Brian (#62) 12.7 41 0.3 13 68.3 %
999990 Jessica (#63) 13.3 81 0.2 7 69.1 %
999992 Aaron (#64) 11.3 93 0.1 7 67.7 %
999993 Kayla (#65) 10.1 28 0.4 18 64.3 %
999991 Christina (#66) 11.0 25 0.4 20 72.0 %
999993 Kelsey (#67) 7.6 22 0.4 24 77.3 %
999993 Michael (#68) 8.3 14 0.6 38 71.4 %
999992 Jesse (#69) 10.6 148 0.1 5 59.5 %
999992 Andrew (#70) 10.3 48 0.2 11 68.8 %
999993 Kaitlyn (#71) 10.1 54 0.2 10 63.0 %
999993 Laura (#72) 11.0 52 0.2 11 57.7 %
999994 Madison (#73) 7.9 24 0.3 21 58.3 %
999993 Anna (#74) 8.7 41 0.2 13 68.3 %
999993 Justin (#75) 9.1 81 0.1 7 64.2 %
999995 Adam (#76) 5.4 54 0.1 10 72.2 %
999997 Abigail (#77) 2.9 71 0.0 8 76.1 %
999998 John (#78) 0.8 60 0.0 10 66.7 %
1000000 Nicole (#79) -1.9 14 -0.1 40 64.3 %
1000000 Amber (#80) -0.8 60 -0.0 9 73.3 %
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