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
999955 Justin (#1) 73.6 82 0.9 8 59.8 %
999970 Michael (#2) 36.7 18 2.1 34 77.8 %
999969 Allison (#3) 40.2 31 1.3 22 74.2 %
999969 Adam (#4) 43.2 62 0.7 10 69.4 %
999980 Nicole (#5) 27.7 16 1.8 38 68.8 %
999974 Austin (#6) 34.1 26 1.3 25 73.1 %
999977 Kaitlyn (#7) 38.3 52 0.7 11 57.7 %
999985 Benjamin (#8) 19.7 16 1.3 43 68.8 %
999982 Ashley (#9) 24.1 29 0.8 21 69.0 %
999988 Kevin (#10) 16.1 18 0.9 37 66.7 %
999988 Cody (#11) 18.2 19 1.0 33 63.2 %
999988 Juan (#12) 11.7 20 0.6 36 90.0 %
999990 Rachel (#13) 12.6 7 1.9 100 71.4 %
999981 Chelsea (#14) 24.7 15 1.7 47 73.3 %
999985 Daniel (#15) 20.6 12 1.8 59 66.7 %
999981 Jessica (#16) 31.0 85 0.4 7 57.7 %
999971 Alexander (#17) 38.7 49 0.8 12 71.4 %
999989 Dylan (#18) 13.1 15 0.9 42 73.3 %
999982 Jose (#19) 23.4 30 0.8 20 73.3 %
999985 Kelsey (#20) 23.3 25 0.9 24 60.0 %
999986 Maria (#21) 18.6 22 0.9 28 68.2 %
999988 Rebecca (#22) 13.6 14 1.0 42 78.6 %
999995 Courtney (#23) 5.2 13 0.4 51 76.9 %
999984 Kimberly (#24) 21.2 15 1.4 46 73.3 %
999984 Alexis (#25) 20.5 36 0.6 18 75.0 %
999991 Charles (#26) 10.9 17 0.7 39 70.6 %
999991 Joseph (#27) 11.4 22 0.5 30 72.7 %
999992 Michelle (#28) 8.9 12 0.8 53 83.3 %
999996 Amanda (#29) 3.3 22 0.1 34 86.4 %
999993 Matthew (#30) 7.1 11 0.6 64 81.8 %
999997 Ryan (#31) 3.2 6 0.5 118 66.7 %
999991 Richard (#32) 10.2 9 1.1 71 77.8 %
999980 Brian (#33) 27.6 42 0.7 14 69.1 %
999986 Joshua (#34) 16.9 21 0.8 33 76.2 %
999982 Brianna (#35) 27.1 30 0.9 20 63.3 %
999980 Jordan (#36) 26.8 39 0.7 16 69.2 %
999993 David (#37) 11.4 18 0.6 33 55.6 %
999996 Kyle (#38) 3.5 13 0.3 55 84.6 %
999996 Nathan (#39) 5.3 8 0.6 87 62.5 %
999997 Eric (#40) 3.3 7 0.4 105 71.4 %
1000000 Heather (#41) -0.8 6 -0.2 123 66.7 %
999998 Erin (#42) 1.8 10 0.2 66 70.0 %
999992 Alyssa (#43) 9.3 18 0.5 39 72.2 %
999981 Abigail (#44) 26.0 75 0.4 8 69.3 %
999983 Andrew (#45) 23.6 47 0.5 13 66.0 %
999986 Jonathan (#46) 20.9 41 0.5 14 61.0 %
999994 Brittany (#47) 7.1 29 0.2 21 69.0 %
999998 Christopher (#48) 1.7 22 0.1 27 63.6 %
999983 Alexandra (#49) 21.8 45 0.5 14 73.3 %
999987 Aaron (#50) 17.7 94 0.2 7 64.9 %
999979 Anna (#51) 27.8 40 0.7 15 70.0 %
999995 Cameron (#52) 5.7 24 0.3 26 66.7 %
999995 Mark (#53) 5.3 16 0.3 41 75.0 %
999996 Nicholas (#54) 5.8 19 0.3 30 57.9 %
1000002 Elizabeth (#55) -4.4 10 -0.4 67 70.0 %
999992 Anthony (#56) 10.5 37 0.3 16 70.3 %
999994 Laura (#57) 8.7 52 0.2 12 53.9 %
1000002 Robert (#58) -4.0 6 -0.7 120 66.7 %
999991 Amber (#59) 14.3 58 0.2 11 60.3 %
1000003 Brandon (#60) -5.4 13 -0.4 57 84.6 %
1000008 Olivia (#61) -14.1 9 -1.6 70 66.7 %
1000007 Haley (#62) -11.1 8 -1.4 86 75.0 %
999998 John (#63) 1.6 57 0.0 10 61.4 %
999992 Katherine (#64) 11.0 38 0.3 16 60.5 %
999993 Kayla (#65) 9.9 31 0.3 19 64.5 %
1000007 Christian (#66) -10.4 11 -0.9 67 81.8 %
1000008 Emily (#67) -14.0 8 -1.8 91 62.5 %
1000006 Samantha (#68) -12.4 9 -1.3 72 55.6 %
1000006 Patrick (#69) -12.0 7 -1.7 101 57.1 %
1000008 Danielle (#70) -12.5 7 -1.9 105 71.4 %
1000011 Hannah (#71) -18.1 6 -3.0 122 66.7 %
1000002 Megan (#72) -4.9 35 -0.1 18 57.1 %
1000004 Christina (#73) -7.4 28 -0.3 22 64.3 %
1000011 Morgan (#74) -22.0 9 -2.4 77 55.6 %
1000017 Jesse (#75) -30.4 141 -0.2 5 59.6 %
1000018 Lauren (#76) -33.8 33 -1.0 18 54.6 %
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