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) 63.1 20 3.2 29 85.0 %
999946 Michelle (#2) 56.3 20 2.8 30 95.0 %
999944 Alyssa (#3) 58.4 38 1.5 13 94.7 %
999945 Haley (#4) 58.2 14 4.1 35 92.9 %
999952 Benjamin (#5) 50.0 33 1.5 14 93.9 %
999952 Elizabeth (#6) 50.2 15 3.3 35 93.3 %
999957 Jose (#7) 51.4 41 1.2 16 82.9 %
999953 Mark (#8) 47.7 23 2.1 26 95.7 %
999952 Erin (#9) 49.9 17 2.9 32 94.1 %
999962 Rebecca (#10) 48.1 22 2.2 32 77.3 %
999967 Samantha (#11) 45.4 14 3.2 45 71.4 %
999958 Allison (#12) 44.6 42 1.1 14 90.5 %
999959 Charles (#13) 44.9 25 1.8 23 88.0 %
999966 Katherine (#14) 42.7 54 0.8 13 75.9 %
999961 Michael (#15) 48.5 20 2.4 32 80.0 %
999962 Richard (#16) 43.7 13 3.4 44 84.6 %
999959 Dylan (#17) 44.9 18 2.5 32 88.9 %
999958 Emily (#18) 45.2 11 4.1 39 90.9 %
999961 Austin (#19) 42.3 33 1.3 17 90.9 %
999961 Christopher (#20) 44.1 30 1.5 21 86.7 %
999957 Courtney (#21) 43.9 18 2.4 31 94.4 %
999964 Ashley (#22) 39.9 39 1.0 16 87.2 %
999962 Cameron (#23) 40.6 31 1.3 20 90.3 %
999958 Chelsea (#24) 42.5 21 2.1 22 95.2 %
999962 Kelsey (#25) 42.6 35 1.2 18 85.7 %
999963 Olivia (#26) 41.9 15 2.8 38 86.7 %
999968 Maria (#27) 40.3 30 1.3 21 76.7 %
999967 Patrick (#28) 37.9 12 3.2 39 83.3 %
999966 Joseph (#29) 38.0 40 1.0 16 87.5 %
999962 Morgan (#30) 40.0 15 2.7 32 93.3 %
999967 Christian (#31) 35.6 10 3.6 33 90.0 %
999965 Mary (#32) 36.5 18 2.0 27 94.4 %
999971 Alexis (#33) 35.8 41 0.9 16 78.1 %
999965 Brandon (#34) 37.0 12 3.1 27 91.7 %
999964 Daniel (#35) 37.1 15 2.5 29 93.3 %
999967 Jacob (#36) 36.9 8 4.6 55 87.5 %
999967 Amanda (#37) 33.7 15 2.3 23 93.3 %
999973 Brianna (#38) 34.4 47 0.7 14 76.6 %
999973 Nicholas (#39) 37.8 31 1.2 22 67.7 %
999972 Kevin (#40) 32.7 30 1.1 20 83.3 %
999973 David (#41) 32.4 22 1.5 27 81.8 %
999970 Robert (#42) 32.4 10 3.2 49 90.0 %
999978 Laura (#43) 32.8 71 0.5 10 63.4 %
999973 Jordan (#44) 32.0 50 0.6 14 82.0 %
999972 Eric (#45) 31.4 7 4.4 43 85.7 %
999969 Kimberly (#46) 31.2 23 1.4 22 95.7 %
999980 Justin (#47) 29.0 107 0.3 7 66.4 %
999975 Alexandra (#48) 30.1 53 0.6 13 79.3 %
999971 Joshua (#49) 30.1 28 1.1 18 92.9 %
999975 Kayla (#50) 30.3 45 0.7 15 80.0 %
999973 Hannah (#51) 30.0 8 3.8 51 87.5 %
999974 Cody (#52) 29.8 22 1.4 27 81.8 %
999977 Brittany (#53) 28.4 34 0.8 19 79.4 %
999979 Jonathan (#54) 27.3 60 0.5 11 75.0 %
999976 Christina (#55) 28.1 37 0.8 18 81.1 %
999974 Samuel (#56) 28.8 8 3.6 66 87.5 %
999979 Alexander (#57) 27.0 63 0.4 11 74.6 %
999981 Lauren (#58) 26.0 45 0.6 15 71.1 %
999979 Madison (#59) 24.8 38 0.7 17 79.0 %
999979 Anthony (#60) 24.6 43 0.6 15 81.4 %
999976 Matthew (#61) 25.6 8 3.3 43 87.5 %
999980 Juan (#62) 22.7 12 1.9 29 83.3 %
999978 Danielle (#63) 23.5 7 3.4 44 85.7 %
999987 Jessica (#64) 18.3 109 0.2 7 64.2 %
999981 Sarah (#65) 20.7 8 2.6 67 87.5 %
999979 Kyle (#66) 22.1 9 2.4 38 88.9 %
999980 James (#67) 21.8 7 3.1 53 85.7 %
999988 Abigail (#68) 15.1 100 0.2 7 73.0 %
999987 Brian (#69) 17.4 52 0.3 13 73.1 %
999990 Megan (#70) 14.1 43 0.3 16 62.8 %
999988 Nathan (#71) 15.4 8 1.9 42 75.0 %
999987 Anna (#72) 15.5 49 0.3 14 73.5 %
999991 Aaron (#73) 11.5 117 0.1 7 68.4 %
999994 Kaitlyn (#74) 8.2 73 0.1 10 65.8 %
999991 Andrew (#75) 12.1 61 0.2 11 70.5 %
999991 Melissa (#76) 12.3 31 0.4 21 67.7 %
999997 Amber (#77) 2.5 79 0.0 9 69.6 %
999995 Jesse (#78) 5.9 183 0.0 5 60.7 %
999997 Adam (#79) 3.5 73 0.0 10 68.5 %
1000006 John (#80) -10.9 78 -0.1 9 66.7 %
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