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 "People's United Financial (PBCT)"

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    Please select the "Detailed View" button to see how it performs!

Find The Lastest Buy Signals for PBCT Below.



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Algorithms Results since Jan/2010


  to  
Sort Factor Algorithm % Result # Trades % Result/Trade Days/Trade Hit % Detailed View
999927 Adam (#1) 94.8 92 1.0 9 76.1 %
999932 Alexander (#2) 87.5 70 1.2 11 77.1 %
999958 Jessica (#3) 71.3 125 0.6 7 58.4 %
999949 Justin (#4) 86.8 117 0.7 7 57.3 %
999955 Michael (#5) 57.3 27 2.1 28 77.8 %
999946 Brian (#6) 72.2 57 1.3 14 73.7 %
999944 Anna (#7) 74.3 56 1.3 14 75.0 %
999949 Andrew (#8) 67.0 72 0.9 11 75.0 %
999966 Nicole (#9) 47.1 23 2.0 32 69.6 %
999953 Brianna (#10) 64.3 42 1.5 19 71.4 %
999950 Jordan (#11) 66.1 52 1.3 15 75.0 %
999963 Anthony (#12) 48.3 50 1.0 16 74.0 %
999958 Abigail (#13) 58.1 110 0.5 8 70.0 %
999964 John (#14) 53.2 85 0.6 10 65.9 %
999961 Jonathan (#15) 55.2 61 0.9 13 68.9 %
999968 Brittany (#16) 41.3 41 1.0 18 75.6 %
999965 Juan (#17) 36.8 27 1.4 29 92.6 %
999968 Matthew (#18) 35.0 17 2.1 46 88.2 %
999959 Alexandra (#19) 53.3 59 0.9 13 76.3 %
999962 Aaron (#20) 53.6 142 0.4 6 68.3 %
999959 Kaitlyn (#21) 63.2 76 0.8 11 63.2 %
999968 Kyle (#22) 35.3 19 1.8 41 89.5 %
999973 Rachel (#23) 33.1 10 3.3 77 80.0 %
999970 Benjamin (#24) 38.5 20 2.0 41 75.0 %
999965 Allison (#25) 46.1 35 1.3 23 74.3 %
999969 Jose (#26) 38.8 40 1.0 19 77.5 %
999975 Nicholas (#27) 34.7 31 1.1 25 67.7 %
999969 Chelsea (#28) 38.0 18 2.1 46 77.8 %
999970 Alexis (#29) 37.1 47 0.8 17 78.7 %
999973 Ashley (#30) 35.5 37 1.0 20 73.0 %
999967 Kayla (#31) 45.4 42 1.1 19 71.4 %
999980 Amanda (#32) 21.4 27 0.8 29 88.9 %
999969 Amber (#33) 44.9 85 0.5 10 65.9 %
999972 Austin (#34) 37.4 29 1.3 27 72.4 %
999977 Maria (#35) 32.0 30 1.1 25 70.0 %
999982 Nathan (#36) 22.3 12 1.8 64 75.0 %
999979 Eric (#37) 25.1 10 2.5 77 80.0 %
999974 Daniel (#38) 33.4 16 2.1 52 75.0 %
999990 Jesse (#39) 14.6 207 0.1 5 60.9 %
999982 Melissa (#40) 27.6 30 0.9 26 60.0 %
999981 Megan (#41) 28.7 50 0.6 17 62.0 %
999981 Alyssa (#42) 24.7 23 1.1 36 73.9 %
999984 Charles (#43) 20.1 19 1.1 42 73.7 %
999976 Laura (#44) 38.2 74 0.5 11 59.5 %
999980 Michelle (#45) 24.4 15 1.6 51 80.0 %
999986 Erin (#46) 18.4 12 1.5 66 75.0 %
999975 Kimberly (#47) 30.6 19 1.6 43 79.0 %
999979 Christina (#48) 27.9 39 0.7 20 71.8 %
999978 Joshua (#49) 25.8 25 1.0 32 80.0 %
999985 Dylan (#50) 19.9 17 1.2 45 70.6 %
999979 Kelsey (#51) 31.1 34 0.9 22 64.7 %
999980 Rebecca (#52) 25.1 20 1.3 36 75.0 %
999985 Ryan (#53) 19.0 8 2.4 98 75.0 %
999982 Richard (#54) 22.5 11 2.1 68 72.7 %
999987 Kevin (#55) 16.8 23 0.7 34 69.6 %
999988 Cody (#56) 17.0 22 0.8 34 63.6 %
999977 Katherine (#57) 34.0 55 0.6 14 63.6 %
999990 Christopher (#58) 13.7 28 0.5 26 67.9 %
999992 Heather (#59) 9.1 8 1.1 93 75.0 %
999988 Courtney (#60) 14.2 15 0.9 53 80.0 %
999984 Sarah (#61) 21.5 6 3.7 135 66.7 %
999987 Mark (#62) 15.9 19 0.8 42 73.7 %
999988 David (#63) 17.6 23 0.8 32 60.9 %
999987 Brandon (#64) 14.3 18 0.8 44 88.9 %
999990 Joseph (#65) 12.3 26 0.5 30 73.1 %
999991 Christian (#66) 8.6 14 0.6 56 85.7 %
999994 Olivia (#67) 6.7 12 0.6 63 66.7 %
999993 Elizabeth (#68) 7.6 12 0.7 67 75.0 %
999991 Cameron (#69) 10.5 29 0.4 26 69.0 %
999991 Madison (#70) 13.4 35 0.4 22 62.9 %
999995 Danielle (#71) 5.0 10 0.5 77 80.0 %
999994 Sara (#72) 8.4 7 1.1 108 57.1 %
1000001 Haley (#73) -2.0 10 -0.2 81 80.0 %
999998 Mary (#74) 1.4 15 0.1 54 60.0 %
1000003 Hannah (#75) -5.4 8 -0.6 103 75.0 %
1000001 Emily (#76) -3.5 10 -0.3 83 70.0 %
1000001 Patrick (#77) -3.4 9 -0.3 91 66.7 %
1000000 Robert (#78) -0.6 8 -0.1 103 62.5 %
1000008 Jacob (#79) -13.1 7 -1.9 119 71.4 %
1000007 Morgan (#80) -11.5 11 -1.1 73 63.6 %
1000005 Lauren (#81) -10.4 47 -0.2 17 61.7 %
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