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
999936 Samuel (#1) 62.8 7 9.0 75 100.0 %
999944 Haley (#2) 54.8 12 4.6 37 100.0 %
999945 James (#3) 53.6 7 7.7 58 100.0 %
999950 Jason (#4) 49.2 7 7.0 54 100.0 %
999952 Heather (#5) 46.7 9 5.2 29 100.0 %
999954 Kimberly (#6) 44.5 20 2.3 24 100.0 %
999953 Erin (#7) 45.8 13 3.5 38 100.0 %
999956 Samantha (#8) 47.8 9 5.3 50 88.9 %
999954 Eric (#9) 45.0 8 5.6 36 100.0 %
999954 Emily (#10) 44.5 10 4.5 40 100.0 %
999956 Jacob (#11) 43.0 8 5.4 54 100.0 %
999956 Danielle (#12) 43.4 10 4.3 30 100.0 %
999958 Patrick (#13) 41.2 10 4.1 48 100.0 %
999967 Joshua (#14) 37.4 23 1.6 21 87.0 %
999960 Morgan (#15) 38.7 11 3.6 43 100.0 %
999960 Robert (#16) 39.4 8 4.9 62 100.0 %
999958 Ryan (#17) 40.7 7 5.9 44 100.0 %
999965 Sarah (#18) 43.6 9 4.9 57 77.8 %
999969 Olivia (#19) 37.3 11 3.4 44 81.8 %
999962 Juan (#20) 39.2 18 2.2 18 94.4 %
999962 Michelle (#21) 39.0 16 2.4 31 93.8 %
999963 Kyle (#22) 37.8 16 2.4 21 93.8 %
999959 Rachel (#23) 39.6 7 5.7 45 100.0 %
999966 Chelsea (#24) 36.1 13 2.8 33 92.3 %
999968 Charles (#25) 34.6 18 1.9 25 88.9 %
999971 Courtney (#26) 33.0 14 2.4 33 85.7 %
999962 Matthew (#27) 37.5 13 2.9 25 100.0 %
999967 Benjamin (#28) 34.1 16 2.1 26 93.8 %
999964 Sara (#29) 35.0 6 5.8 53 100.0 %
999971 Austin (#30) 34.0 24 1.4 20 83.3 %
999970 Mary (#31) 33.9 13 2.6 36 84.6 %
999963 Hannah (#32) 35.9 7 5.1 57 100.0 %
999973 Allison (#33) 29.8 28 1.1 17 85.7 %
999966 Nathan (#34) 32.9 8 4.1 40 100.0 %
999966 Daniel (#35) 32.9 11 3.0 38 100.0 %
999967 Elizabeth (#36) 32.2 10 3.2 43 100.0 %
999970 Christian (#37) 28.9 10 2.9 31 100.0 %
999979 Joseph (#38) 27.0 20 1.4 25 75.0 %
999974 Alyssa (#39) 28.2 21 1.3 21 90.5 %
999977 Dylan (#40) 28.8 13 2.2 36 76.9 %
999968 Brandon (#41) 30.8 12 2.6 27 100.0 %
999973 Amanda (#42) 27.6 14 2.0 23 92.9 %
999975 Richard (#43) 26.7 9 3.0 49 88.9 %
999978 Kevin (#44) 25.9 17 1.5 30 82.4 %
999978 Mark (#45) 25.8 15 1.7 34 80.0 %
999981 Lauren (#46) 26.6 32 0.8 16 65.6 %
999983 Melissa (#47) 23.9 21 1.1 23 66.7 %
999982 Kayla (#48) 22.2 25 0.9 20 76.0 %
999977 Rebecca (#49) 24.1 12 2.0 36 91.7 %
999983 Christina (#50) 20.5 20 1.0 23 80.0 %
999983 Alexis (#51) 20.4 29 0.7 17 79.3 %
999984 Ashley (#52) 19.4 24 0.8 20 79.2 %
999985 Madison (#53) 22.1 22 1.0 22 63.6 %
999982 Cody (#54) 22.0 14 1.6 33 78.6 %
999981 Michael (#55) 22.4 15 1.5 30 80.0 %
999985 Katherine (#56) 19.0 37 0.5 15 73.0 %
999984 Cameron (#57) 18.9 17 1.1 27 76.5 %
999985 Kelsey (#58) 18.0 20 0.9 24 80.0 %
999987 Maria (#59) 17.3 17 1.0 27 70.6 %
999986 David (#60) 17.7 14 1.3 33 71.4 %
999987 Jonathan (#61) 17.7 41 0.4 13 65.9 %
999987 Anthony (#62) 15.9 29 0.6 17 75.9 %
999989 Brianna (#63) 14.7 28 0.5 18 67.9 %
999988 Nicole (#64) 16.8 11 1.6 40 63.6 %
999988 Justin (#65) 16.7 76 0.2 8 61.8 %
999990 Alexandra (#66) 11.7 33 0.4 15 72.7 %
999990 Brittany (#67) 12.4 19 0.6 24 79.0 %
999991 Megan (#68) 13.1 32 0.4 17 62.5 %
999991 Alexander (#69) 10.7 44 0.3 12 72.7 %
999991 John (#70) 13.0 57 0.2 10 64.9 %
999992 Christopher (#71) 10.3 16 0.6 28 75.0 %
999992 Laura (#72) 10.3 50 0.2 11 66.0 %
999996 Nicholas (#73) 6.3 19 0.3 26 57.9 %
999993 Adam (#74) 7.8 54 0.2 10 72.2 %
999992 Brian (#75) 9.9 35 0.3 15 71.4 %
999994 Jesse (#76) 9.0 144 0.1 4 61.1 %
999996 Anna (#77) 4.7 33 0.2 16 66.7 %
999995 Jose (#78) 5.3 23 0.2 21 73.9 %
999993 Jessica (#79) 8.9 75 0.1 8 66.7 %
999995 Jordan (#80) 5.8 29 0.2 17 72.4 %
999995 Andrew (#81) 4.8 46 0.1 12 71.7 %
999995 Kaitlyn (#82) 5.9 52 0.1 10 67.3 %
1000000 Abigail (#83) -1.6 67 -0.0 8 68.7 %
999999 Amber (#84) 0.3 57 0.0 10 70.2 %
1000000 Aaron (#85) -1.5 87 -0.0 7 67.8 %
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