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
999949 Alyssa (#1) 55.9 40 1.4 15 90.0 %
999952 Haley (#2) 54.9 14 3.9 36 85.7 %
999947 Jacob (#3) 52.3 9 5.8 43 100.0 %
999956 Benjamin (#4) 48.6 35 1.4 17 88.6 %
999955 Richard (#5) 47.6 13 3.7 47 92.3 %
999951 Robert (#6) 47.9 10 4.8 43 100.0 %
999956 Patrick (#7) 47.5 12 3.9 34 91.7 %
999957 Eric (#8) 46.6 10 4.7 59 90.0 %
999955 Samuel (#9) 43.9 7 6.3 66 100.0 %
999961 Daniel (#10) 42.7 19 2.3 29 89.5 %
999964 Jasmine (#11) 41.0 7 5.9 86 85.7 %
999961 Amanda (#12) 42.2 22 1.9 27 90.9 %
999965 Samantha (#13) 39.6 14 2.9 45 85.7 %
999964 Morgan (#14) 40.2 16 2.5 35 87.5 %
999962 Danielle (#15) 40.7 11 3.7 54 90.9 %
999959 James (#16) 40.3 6 6.7 54 100.0 %
999963 Chelsea (#17) 41.2 25 1.6 23 88.0 %
999965 Mary (#18) 38.2 19 2.0 30 89.5 %
999967 Emily (#19) 38.4 13 2.9 42 84.6 %
999964 Brandon (#20) 39.0 18 2.2 33 88.9 %
999967 Elizabeth (#21) 39.6 15 2.7 43 80.0 %
999965 Hannah (#22) 34.2 9 3.8 38 100.0 %
999971 Heather (#23) 34.5 6 5.7 96 83.3 %
999970 Charles (#24) 34.8 23 1.5 27 82.6 %
999973 Matthew (#25) 31.9 11 2.9 56 81.8 %
999970 Ashley (#26) 33.0 37 0.9 18 86.5 %
999969 Allison (#27) 33.8 39 0.9 17 87.2 %
999972 Erin (#28) 35.2 17 2.1 39 76.5 %
999970 Rachel (#29) 32.5 8 4.1 80 87.5 %
999973 Christian (#30) 31.2 12 2.6 50 83.3 %
999971 Austin (#31) 32.0 31 1.0 21 87.1 %
999971 Kimberly (#32) 31.7 24 1.3 25 87.5 %
999974 Nathan (#33) 30.8 10 3.1 61 80.0 %
999977 Olivia (#34) 31.4 14 2.2 47 71.4 %
999974 Courtney (#35) 32.3 18 1.8 37 77.8 %
999976 Sarah (#36) 30.3 9 3.3 52 77.8 %
999976 Joshua (#37) 27.0 26 1.0 23 84.6 %
999974 Jose (#38) 30.8 39 0.8 19 82.1 %
999975 Mark (#39) 27.9 21 1.3 33 85.7 %
999978 Joseph (#40) 26.1 34 0.8 20 79.4 %
999980 Michelle (#41) 26.7 18 1.5 38 72.2 %
999981 Alexis (#42) 24.1 38 0.6 18 76.3 %
999980 Cameron (#43) 23.2 28 0.8 25 82.1 %
999980 Maria (#44) 24.3 28 0.9 26 78.6 %
999983 Lauren (#45) 22.1 48 0.5 15 70.8 %
999981 Christopher (#46) 22.5 28 0.8 25 82.1 %
999982 David (#47) 22.3 23 1.0 30 78.3 %
999983 Dylan (#48) 21.5 18 1.2 37 77.8 %
999985 Kyle (#49) 18.9 12 1.6 51 75.0 %
999984 Juan (#50) 19.5 16 1.3 38 75.0 %
999984 Rebecca (#51) 21.0 18 1.2 42 72.2 %
999985 Katherine (#52) 20.4 56 0.4 13 67.9 %
999984 Kevin (#53) 18.7 28 0.7 24 78.6 %
999989 Megan (#54) 16.1 47 0.3 16 61.7 %
999983 Michael (#55) 22.0 19 1.2 39 73.7 %
999984 Kelsey (#56) 18.0 31 0.6 23 80.7 %
999985 Cody (#57) 17.5 22 0.8 31 77.3 %
999983 Nicole (#58) 22.9 19 1.2 39 68.4 %
999988 Laura (#59) 18.7 68 0.3 11 57.4 %
999989 Anthony (#60) 12.5 44 0.3 16 79.6 %
999990 Brianna (#61) 12.5 44 0.3 16 68.2 %
999990 Brittany (#62) 11.9 32 0.4 21 78.1 %
999996 Melissa (#63) 5.0 30 0.2 24 70.0 %
999994 Alexandra (#64) 7.2 53 0.1 14 69.8 %
999993 Jonathan (#65) 9.1 64 0.1 11 68.8 %
999994 Nicholas (#66) 9.6 27 0.4 28 51.9 %
999993 Alexander (#67) 8.9 66 0.1 11 71.2 %
999995 Christina (#68) 5.1 33 0.2 21 75.8 %
999996 Justin (#69) 4.5 106 0.1 7 65.1 %
999999 Jordan (#70) -0.4 47 0.0 15 74.5 %
999999 Madison (#71) -0.5 33 0.0 22 66.7 %
1000000 Jessica (#72) -0.7 104 -0.0 8 66.4 %
1000001 Kayla (#73) -3.1 37 -0.1 19 67.6 %
1000002 Brian (#74) -3.9 52 -0.1 14 65.4 %
1000003 Aaron (#75) -6.1 116 -0.1 7 65.5 %
1000005 Abigail (#76) -8.6 93 -0.1 8 72.0 %
1000005 Kaitlyn (#77) -9.8 69 -0.1 11 58.0 %
1000006 Andrew (#78) -10.0 61 -0.2 12 65.6 %
1000006 Anna (#79) -10.7 51 -0.2 14 64.7 %
1000005 Jesse (#80) -10.4 193 -0.1 5 57.5 %
1000009 Adam (#81) -14.3 69 -0.2 11 68.1 %
1000010 Amber (#82) -14.6 78 -0.2 10 70.5 %
1000016 John (#83) -25.7 77 -0.3 10 63.6 %
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