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
999927 Alyssa (#1) 79.1 58 1.4 14 91.4 %
999935 Haley (#2) 75.3 21 3.6 41 85.7 %
999934 Benjamin (#3) 71.9 52 1.4 16 90.4 %
999936 Morgan (#4) 69.1 23 3.0 35 91.3 %
999944 Samantha (#5) 68.1 21 3.2 46 81.0 %
999940 Richard (#6) 66.2 19 3.5 48 89.5 %
999939 Patrick (#7) 66.6 18 3.7 43 88.9 %
999941 Eric (#8) 63.3 13 4.9 51 92.3 %
999939 Daniel (#9) 65.3 25 2.6 30 92.0 %
999940 Chelsea (#10) 64.7 34 1.9 23 91.2 %
999943 Elizabeth (#11) 65.0 22 3.0 41 86.4 %
999944 Erin (#12) 64.9 25 2.6 37 84.0 %
999942 Jacob (#13) 61.6 13 4.8 56 92.3 %
999943 Mary (#14) 60.7 27 2.3 30 92.6 %
999942 Robert (#15) 60.7 15 4.1 52 93.3 %
999946 Emily (#16) 59.6 17 3.5 44 88.2 %
999946 Samuel (#17) 58.2 12 4.8 70 91.7 %
999956 Olivia (#18) 56.3 22 2.6 44 77.3 %
999948 Amanda (#19) 55.1 28 2.0 25 92.9 %
999949 Brandon (#20) 55.0 23 2.4 30 91.3 %
999951 Ashley (#21) 55.3 57 1.0 17 87.7 %
999950 Danielle (#22) 53.0 14 3.8 49 92.9 %
999954 Michelle (#23) 55.0 28 2.0 35 82.1 %
999952 Courtney (#24) 54.7 27 2.0 34 85.2 %
999951 Allison (#25) 54.9 59 0.9 16 88.1 %
999953 Charles (#26) 55.3 35 1.6 26 82.9 %
999953 Christian (#27) 52.0 17 3.1 41 88.2 %
999954 James (#28) 49.0 11 4.5 61 90.9 %
999955 Matthew (#29) 50.5 15 3.4 48 86.7 %
999953 Kimberly (#30) 50.2 34 1.5 25 91.2 %
999953 Hannah (#31) 50.1 13 3.9 54 92.3 %
999952 Mark (#32) 51.5 32 1.6 31 90.6 %
999957 Joseph (#33) 49.1 55 0.9 19 85.5 %
999956 Austin (#34) 50.1 46 1.1 20 87.0 %
999955 Jose (#35) 53.4 59 0.9 18 83.1 %
999958 Cameron (#36) 47.7 45 1.1 23 84.4 %
999956 Joshua (#37) 47.6 40 1.2 21 90.0 %
999960 Michael (#38) 51.5 30 1.7 35 76.7 %
999958 Nicole (#39) 53.5 29 1.9 34 75.9 %
999958 Christopher (#40) 48.6 44 1.1 23 84.1 %
999960 Heather (#41) 44.5 8 5.6 78 87.5 %
999962 Dylan (#42) 45.5 27 1.7 36 81.5 %
999963 Rebecca (#43) 48.3 31 1.6 36 74.2 %
999963 Maria (#44) 45.5 44 1.1 23 77.3 %
999967 Nathan (#45) 41.1 14 2.9 51 78.6 %
999964 Jasmine (#46) 41.0 7 5.9 86 85.7 %
999965 Alexis (#47) 42.7 59 0.7 17 79.7 %
999963 Rachel (#48) 40.4 10 4.0 73 90.0 %
999966 Kyle (#49) 39.6 17 2.4 42 82.4 %
999967 David (#50) 42.3 35 1.2 28 77.1 %
999971 Jason (#51) 39.2 7 5.6 94 71.4 %
999968 Sarah (#52) 40.2 14 2.9 62 78.6 %
999971 Lauren (#53) 39.4 69 0.6 15 71.0 %
999963 Kelsey (#54) 42.6 49 0.9 21 83.7 %
999968 Katherine (#55) 42.4 82 0.5 13 73.2 %
999968 Kevin (#56) 37.9 42 0.9 24 81.0 %
999970 Juan (#57) 36.5 22 1.6 33 81.8 %
999970 Brianna (#58) 37.5 68 0.6 15 75.0 %
999979 Megan (#59) 31.2 67 0.5 16 65.7 %
999970 Brittany (#60) 36.2 50 0.7 20 80.0 %
999973 Nicholas (#61) 39.8 45 0.9 24 64.4 %
999973 Anthony (#62) 32.5 65 0.5 16 81.5 %
999975 Cody (#63) 32.2 33 1.0 30 75.8 %
999979 Laura (#64) 32.4 105 0.3 11 61.0 %
999977 Jonathan (#65) 29.5 93 0.3 11 73.1 %
999976 Jordan (#66) 28.6 75 0.4 14 78.7 %
999977 Christina (#67) 27.8 52 0.5 20 78.9 %
999982 Ryan (#68) 25.1 6 4.2 107 66.7 %
999978 Kayla (#69) 28.2 63 0.4 16 74.6 %
999980 Melissa (#70) 26.5 47 0.6 22 70.2 %
999979 Alexandra (#71) 26.9 80 0.3 13 75.0 %
999980 Madison (#72) 26.3 54 0.5 19 72.2 %
999979 Alexander (#73) 27.3 97 0.3 11 74.2 %
999983 Justin (#74) 23.7 161 0.2 7 65.2 %
999988 Brian (#75) 15.8 78 0.2 13 70.5 %
999991 Anna (#76) 10.6 76 0.1 14 71.1 %
999994 Jessica (#77) 8.2 160 0.1 7 65.0 %
999995 Andrew (#78) 5.8 92 0.1 12 68.5 %
999997 Kaitlyn (#79) 3.4 107 0.0 10 63.6 %
999998 Abigail (#80) 0.9 143 0.0 8 72.0 %
1000000 Aaron (#81) -2.5 175 -0.0 7 66.9 %
1000003 Jesse (#82) -6.0 275 -0.0 5 59.3 %
1000004 Adam (#83) -7.5 108 -0.1 10 68.5 %
1000007 Amber (#84) -12.5 116 -0.1 9 69.0 %
1000012 John (#85) -20.0 116 -0.2 9 65.5 %
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