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
999940 Alyssa (#1) 63.5 47 1.4 14 91.5 %
999948 Benjamin (#2) 56.9 41 1.4 15 90.2 %
999951 Richard (#3) 55.1 16 3.4 47 87.5 %
999950 Haley (#4) 60.0 17 3.5 38 82.4 %
999956 Samantha (#5) 55.2 18 3.1 44 77.8 %
999951 Morgan (#6) 53.9 19 2.8 34 89.5 %
999957 Patrick (#7) 48.8 15 3.3 42 86.7 %
999955 Erin (#8) 51.7 20 2.6 36 85.0 %
999955 Mary (#9) 48.2 23 2.1 29 91.3 %
999956 Elizabeth (#10) 50.6 18 2.8 38 83.3 %
999956 Michelle (#11) 49.1 23 2.1 33 87.0 %
999957 Eric (#12) 47.5 9 5.2 52 88.9 %
999956 Daniel (#13) 47.8 20 2.4 30 90.0 %
999957 Chelsea (#14) 47.2 28 1.7 23 89.3 %
999958 Jacob (#15) 46.2 10 4.6 60 90.0 %
999959 Robert (#16) 44.4 12 3.7 54 91.7 %
999960 Emily (#17) 45.8 13 3.5 45 84.6 %
999964 Olivia (#18) 44.6 18 2.5 41 77.8 %
999958 Samuel (#19) 45.2 10 4.5 71 90.0 %
999963 Christian (#20) 42.3 13 3.2 39 84.6 %
999961 Courtney (#21) 44.4 22 2.0 33 86.4 %
999960 Nicole (#22) 49.2 24 2.0 31 79.2 %
999962 Allison (#23) 42.2 49 0.9 16 87.8 %
999963 Austin (#24) 41.1 38 1.1 20 86.8 %
999964 Charles (#25) 41.9 29 1.5 26 82.8 %
999962 Amanda (#26) 41.1 20 2.1 26 90.0 %
999964 Danielle (#27) 38.5 10 3.9 48 90.0 %
999965 Michael (#28) 45.0 25 1.8 32 76.0 %
999963 James (#29) 40.1 9 4.4 61 88.9 %
999964 Jose (#30) 43.5 47 0.9 18 80.9 %
999963 Mark (#31) 40.6 26 1.6 30 88.5 %
999967 Heather (#32) 37.8 6 6.3 87 83.3 %
999964 Cameron (#33) 40.8 37 1.1 22 86.5 %
999964 Brandon (#34) 39.8 16 2.5 31 87.5 %
999965 Kimberly (#35) 37.8 29 1.3 24 89.7 %
999966 Ashley (#36) 38.6 45 0.9 18 84.4 %
999965 Christopher (#37) 40.6 35 1.2 23 82.9 %
999969 Matthew (#38) 36.8 11 3.4 55 81.8 %
999967 Hannah (#39) 35.9 10 3.6 57 90.0 %
999968 Joshua (#40) 34.5 35 1.0 20 88.6 %
999971 Nicholas (#41) 41.1 37 1.1 23 67.6 %
999969 Joseph (#42) 36.1 45 0.8 18 84.4 %
999969 Dylan (#43) 37.2 21 1.8 36 81.0 %
999972 Maria (#44) 36.3 35 1.0 23 74.3 %
999971 David (#45) 35.8 28 1.3 27 78.6 %
999972 Sarah (#46) 33.6 10 3.4 71 80.0 %
999968 Kelsey (#47) 37.3 40 0.9 21 82.5 %
999972 Rachel (#48) 31.3 7 4.4 82 85.7 %
999977 Nathan (#49) 30.3 11 2.7 55 72.7 %
999973 Kyle (#50) 30.9 12 2.6 44 83.3 %
999974 Juan (#51) 29.9 17 1.8 31 82.4 %
999976 Alexis (#52) 29.5 47 0.6 18 76.6 %
999977 Rebecca (#53) 32.0 26 1.2 33 69.2 %
999977 Cody (#54) 27.6 27 1.0 29 77.8 %
999979 Brianna (#55) 27.3 56 0.5 15 73.2 %
999978 Katherine (#56) 28.8 64 0.5 13 73.4 %
999981 Lauren (#57) 26.4 54 0.5 16 70.4 %
999978 Kevin (#58) 26.3 34 0.8 23 79.4 %
999979 Kayla (#59) 25.7 54 0.5 16 75.9 %
999981 Brittany (#60) 23.2 40 0.6 20 77.5 %
999982 Madison (#61) 23.4 46 0.5 18 76.1 %
999984 Laura (#62) 23.7 88 0.3 11 61.4 %
999981 Anthony (#63) 21.6 52 0.4 16 80.8 %
999986 Justin (#64) 19.9 132 0.2 7 65.2 %
999985 Alexandra (#65) 19.0 65 0.3 13 75.4 %
999989 Megan (#66) 15.6 54 0.3 16 63.0 %
999985 Jordan (#67) 18.0 61 0.3 14 78.7 %
999986 Christina (#68) 16.7 42 0.4 20 78.6 %
999989 Melissa (#69) 15.0 39 0.4 21 66.7 %
999988 Alexander (#70) 15.1 78 0.2 11 73.1 %
999990 Jonathan (#71) 12.0 73 0.2 12 72.6 %
999998 Kaitlyn (#72) 0.9 90 0.0 10 63.3 %
1000000 Aaron (#73) -0.5 144 -0.0 7 68.1 %
999999 Jessica (#74) -0.4 133 0.0 7 64.7 %
999999 Anna (#75) 0.3 59 0.0 14 69.5 %
1000002 Abigail (#76) -3.5 120 -0.0 8 71.7 %
999999 Brian (#77) -0.2 62 0.0 14 69.4 %
1000003 Andrew (#78) -5.8 74 -0.1 12 67.6 %
1000004 Jesse (#79) -7.9 232 -0.0 5 59.5 %
1000009 Adam (#80) -15.0 89 -0.2 10 67.4 %
1000011 Amber (#81) -18.3 96 -0.2 9 68.8 %
1000012 John (#82) -20.5 97 -0.2 9 65.0 %
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