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
999973 Jasmine (#1) 30.1 7 4.3 77 85.7 %
999980 Ashley (#2) 24.5 29 0.8 18 79.3 %
999976 Amanda (#3) 25.2 22 1.1 25 90.9 %
999975 Heather (#4) 26.7 8 3.4 65 87.5 %
999978 Jason (#5) 24.7 6 4.2 109 83.3 %
999978 Sarah (#6) 31.2 6 5.2 108 66.7 %
999981 Joseph (#7) 22.0 23 1.0 22 82.6 %
999977 Cameron (#8) 27.7 23 1.2 23 78.3 %
999977 Brandon (#9) 25.4 18 1.4 30 88.9 %
999975 Christian (#10) 25.6 16 1.6 33 93.8 %
999976 Eric (#11) 26.5 8 3.3 65 87.5 %
999982 Robert (#12) 24.7 6 4.2 98 66.7 %
999980 Ryan (#13) 27.3 7 3.9 86 71.4 %
999973 Jennifer (#14) 30.5 6 5.2 134 83.3 %
999976 Rebecca (#15) 26.7 12 2.3 43 83.3 %
999985 Jose (#16) 19.8 23 0.9 23 69.6 %
999988 Charles (#17) 16.1 17 0.9 33 70.6 %
999983 Juan (#18) 17.0 14 1.2 42 92.9 %
999984 Kyle (#19) 17.4 11 1.6 53 90.9 %
999984 Matthew (#20) 17.5 9 1.9 65 88.9 %
999985 Nathan (#21) 19.4 8 2.4 73 75.0 %
999987 Kelsey (#22) 18.1 19 1.0 28 68.4 %
999985 Dylan (#23) 19.2 14 1.4 34 71.4 %
999983 Olivia (#24) 19.1 11 1.7 47 81.8 %
999982 Richard (#25) 21.6 9 2.4 59 77.8 %
999982 Alexis (#26) 20.5 35 0.6 16 82.9 %
999982 Danielle (#27) 19.2 11 1.7 48 90.9 %
999983 Samantha (#28) 20.8 8 2.6 82 75.0 %
999981 Rachel (#29) 22.3 6 3.7 96 83.3 %
999986 Austin (#30) 16.6 23 0.7 22 73.9 %
999987 Michael (#31) 16.9 14 1.2 38 71.4 %
999983 Nicole (#32) 21.0 13 1.6 39 76.9 %
999982 Michelle (#33) 19.6 12 1.7 42 83.3 %
999988 Benjamin (#34) 14.9 17 0.9 34 70.6 %
999988 Chelsea (#35) 13.9 14 1.0 42 78.6 %
999986 Allison (#36) 16.4 28 0.6 19 78.6 %
999991 Maria (#37) 11.4 17 0.7 31 70.6 %
999992 Kevin (#38) 10.0 16 0.6 32 68.8 %
999991 Kaitlyn (#39) 11.2 59 0.2 10 69.5 %
999990 Haley (#40) 9.8 8 1.3 73 87.5 %
999990 Anthony (#41) 11.5 30 0.4 18 76.7 %
999991 Christopher (#42) 11.7 20 0.6 26 70.0 %
999988 Cody (#43) 15.0 18 0.8 28 72.2 %
999992 David (#44) 10.9 16 0.7 32 62.5 %
999987 Mark (#45) 15.5 15 1.1 34 73.3 %
999996 Adam (#46) 4.1 58 0.1 10 74.1 %
999995 Elizabeth (#47) 4.9 9 0.6 64 77.8 %
999992 Emily (#48) 9.3 8 1.1 75 75.0 %
999993 Patrick (#49) 8.1 7 1.1 84 71.4 %
999992 Brittany (#50) 9.4 25 0.4 21 80.0 %
999993 Nicholas (#51) 8.9 20 0.5 26 65.0 %
999992 Erin (#52) 8.6 9 1.0 57 77.8 %
999996 Brianna (#53) 4.9 27 0.2 20 66.7 %
999993 Alyssa (#54) 7.8 19 0.4 31 73.7 %
999993 Daniel (#55) 6.7 11 0.6 54 81.8 %
999994 Hannah (#56) 5.6 7 0.9 90 85.7 %
999993 Jacob (#57) 8.6 7 1.3 89 71.4 %
999996 Jesse (#58) 5.6 149 0.0 5 55.7 %
999996 Andrew (#59) 4.4 45 0.1 12 68.9 %
999995 Kimberly (#60) 5.0 15 0.3 39 73.3 %
999997 Alexandra (#61) 3.1 34 0.1 16 76.5 %
999998 Melissa (#62) 1.4 19 0.1 27 68.4 %
999997 Abigail (#63) 3.0 74 0.0 8 73.0 %
999998 Amber (#64) 0.6 58 0.0 10 72.4 %
999998 Justin (#65) 1.1 84 0.0 7 59.5 %
999995 Jordan (#66) 5.3 32 0.2 17 75.0 %
999998 Courtney (#67) 1.1 12 0.1 46 66.7 %
999997 Joshua (#68) 3.5 18 0.2 33 72.2 %
999997 Christina (#69) 2.9 23 0.1 23 73.9 %
1000002 Jonathan (#70) -4.7 40 -0.1 15 65.0 %
1000001 Katherine (#71) -3.3 39 -0.1 15 69.2 %
1000002 Aaron (#72) -5.4 93 -0.1 7 65.6 %
1000000 Jessica (#73) -0.6 83 -0.0 7 55.4 %
1000001 Brian (#74) -2.5 40 -0.1 15 70.0 %
1000002 Madison (#75) -3.6 24 -0.2 24 75.0 %
1000000 Anna (#76) -1.4 32 -0.0 17 68.8 %
1000000 John (#77) -0.6 57 -0.0 10 66.7 %
1000002 Laura (#78) -5.0 54 -0.1 11 64.8 %
1000004 Alexander (#79) -6.6 38 -0.2 15 65.8 %
1000000 Morgan (#80) -1.6 8 -0.3 72 75.0 %
1000004 Mary (#81) -7.6 10 -0.8 58 60.0 %
1000003 Kayla (#82) -6.8 27 -0.3 21 63.0 %
1000012 Lauren (#83) -23.1 32 -0.7 18 56.3 %
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