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
999955 Alyssa (#1) 48.8 37 1.3 14 89.2 %
999962 Eric (#2) 42.2 8 5.3 57 87.5 %
999961 Benjamin (#3) 42.5 32 1.3 16 87.5 %
999963 Richard (#4) 42.2 13 3.2 44 84.6 %
999969 Samantha (#5) 37.1 15 2.5 40 80.0 %
999967 Heather (#6) 37.8 6 6.3 87 83.3 %
999967 Robert (#7) 36.3 10 3.6 57 90.0 %
999968 Jacob (#8) 34.8 8 4.4 62 87.5 %
999971 James (#9) 33.5 7 4.7 70 85.7 %
999969 Samuel (#10) 34.4 8 4.3 77 87.5 %
999970 Mary (#11) 32.9 18 1.8 30 88.9 %
999971 Morgan (#12) 31.6 15 2.1 35 86.7 %
999971 Daniel (#13) 31.5 16 2.0 31 87.5 %
999974 Haley (#14) 32.6 12 2.8 44 75.0 %
999974 Patrick (#15) 30.3 11 2.7 46 81.8 %
999972 Rachel (#16) 31.3 7 4.4 82 85.7 %
999972 Amanda (#17) 30.8 16 1.9 28 87.5 %
999974 Emily (#18) 31.0 11 2.8 45 81.8 %
999973 Michelle (#19) 32.4 17 1.9 34 82.4 %
999974 Danielle (#20) 28.5 8 3.6 55 87.5 %
999975 Erin (#21) 30.1 15 2.0 37 80.0 %
999977 Christian (#22) 28.0 10 2.8 45 80.0 %
999974 Chelsea (#23) 29.1 22 1.3 23 86.4 %
999976 Elizabeth (#24) 30.0 13 2.3 41 76.9 %
999979 Sarah (#25) 27.1 8 3.4 75 75.0 %
999979 Olivia (#26) 28.5 14 2.0 41 71.4 %
999977 Austin (#27) 27.4 29 0.9 21 82.8 %
999976 Brandon (#28) 27.0 13 2.1 35 84.6 %
999980 Matthew (#29) 25.2 9 2.8 63 77.8 %
999977 Kimberly (#30) 24.7 22 1.1 25 86.4 %
999977 Courtney (#31) 27.2 16 1.7 36 81.3 %
999977 Mark (#32) 25.9 20 1.3 29 85.0 %
999984 Nathan (#33) 22.9 9 2.6 62 66.7 %
999977 Allison (#34) 25.8 36 0.7 17 83.3 %
999980 Cameron (#35) 23.7 26 0.9 24 80.8 %
999980 Hannah (#36) 21.6 8 2.8 59 87.5 %
999981 Joshua (#37) 21.1 25 0.8 22 84.0 %
999978 Nicole (#38) 27.8 19 1.5 34 73.7 %
999982 Charles (#39) 22.1 20 1.1 29 75.0 %
999984 Ashley (#40) 20.1 31 0.7 20 77.4 %
999984 Joseph (#41) 20.1 31 0.7 20 77.4 %
999985 Christopher (#42) 19.4 25 0.8 25 76.0 %
999984 Dylan (#43) 20.3 16 1.3 36 75.0 %
999985 Michael (#44) 21.2 18 1.2 36 66.7 %
999985 Juan (#45) 18.2 13 1.4 37 76.9 %
999985 David (#46) 19.4 21 0.9 29 76.2 %
999985 Kyle (#47) 17.9 9 2.0 53 77.8 %
999983 Jose (#48) 21.0 35 0.6 19 74.3 %
999986 Cody (#49) 18.4 20 0.9 30 75.0 %
999986 Justin (#50) 19.0 106 0.2 7 66.0 %
999987 Katherine (#51) 17.5 52 0.3 13 71.2 %
999987 Maria (#52) 16.8 25 0.7 26 72.0 %
999988 Kelsey (#53) 15.0 28 0.5 23 75.0 %
999988 Kevin (#54) 13.7 25 0.6 24 76.0 %
999989 Alexis (#55) 13.8 33 0.4 19 69.7 %
999993 Lauren (#56) 9.0 42 0.2 17 69.1 %
999992 Brianna (#57) 10.8 43 0.3 16 67.4 %
999992 Nicholas (#58) 13.1 27 0.5 25 55.6 %
999993 Laura (#59) 10.8 71 0.2 10 56.3 %
999992 Rebecca (#60) 11.8 18 0.7 37 61.1 %
999998 Megan (#61) 2.0 44 0.1 16 59.1 %
999996 Anthony (#62) 4.0 38 0.1 17 76.3 %
999996 Aaron (#63) 3.9 114 0.0 7 70.2 %
999995 Jonathan (#64) 4.8 59 0.1 11 71.2 %
999997 Alexandra (#65) 2.8 48 0.1 14 70.8 %
999998 Kayla (#66) 1.8 40 0.1 17 70.0 %
999995 Alexander (#67) 5.3 61 0.1 11 70.5 %
999998 Madison (#68) 0.8 35 0.0 19 74.3 %
999998 Brittany (#69) 1.7 29 0.1 22 72.4 %
1000000 Kaitlyn (#70) -1.4 72 -0.0 10 62.5 %
1000000 Melissa (#71) -1.4 30 -0.0 23 66.7 %
1000000 Jessica (#72) -0.6 105 -0.0 7 66.7 %
1000000 Abigail (#73) -2.3 95 -0.0 8 74.7 %
1000000 Christina (#74) -2.1 31 -0.1 22 74.2 %
1000001 Jordan (#75) -2.8 46 -0.1 15 73.9 %
1000004 Jesse (#76) -9.2 191 -0.1 4 58.6 %
1000006 Brian (#77) -9.7 48 -0.2 14 66.7 %
1000007 Anna (#78) -11.7 46 -0.3 15 65.2 %
1000009 Amber (#79) -13.9 78 -0.2 9 73.1 %
1000009 John (#80) -15.2 79 -0.2 9 67.1 %
1000006 Andrew (#81) -11.1 59 -0.2 12 67.8 %
1000008 Adam (#82) -13.3 71 -0.2 10 70.4 %
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