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 "Teleflex Inc (TFX)"

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

Find The Lastest Buy Signals for TFX Below.



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Algorithms Results since Jan/2010


  to  
Sort Factor Algorithm % Result # Trades % Result/Trade Days/Trade Hit % Detailed View
999964 Samuel (#1) 52.6 9 5.9 106 66.7 %
999963 Christian (#2) 43.6 17 2.6 52 82.4 %
999970 Nicholas (#3) 41.4 34 1.2 25 70.6 %
999958 Sarah (#4) 57.5 7 8.3 126 71.4 %
999969 Richard (#5) 41.1 15 2.7 61 73.3 %
999967 James (#6) 40.7 9 4.6 95 77.8 %
999970 Kaitlyn (#7) 41.0 97 0.4 10 71.1 %
999970 Samantha (#8) 40.7 14 2.9 66 71.4 %
999964 Ryan (#9) 41.9 6 7.0 136 83.3 %
999973 Amanda (#10) 29.9 24 1.3 37 87.5 %
999974 Brandon (#11) 29.1 20 1.5 44 85.0 %
999974 Danielle (#12) 31.2 11 2.8 82 81.8 %
999975 John (#13) 33.1 106 0.3 9 72.6 %
999981 Chelsea (#14) 20.7 21 1.0 40 85.7 %
999980 Eric (#15) 26.2 8 3.3 112 75.0 %
999973 Heather (#16) 30.8 6 5.2 152 83.3 %
999966 Jason (#17) 37.9 7 5.4 119 85.7 %
999986 Benjamin (#18) 16.2 24 0.7 35 83.3 %
999976 Juan (#19) 26.5 16 1.6 53 87.5 %
999987 Alyssa (#20) 15.1 28 0.5 31 82.1 %
999984 Amber (#21) 20.9 107 0.2 9 72.9 %
999986 Jacob (#22) 18.7 9 2.1 98 66.7 %
999989 Jonathan (#23) 15.3 70 0.2 14 68.6 %
999987 Patrick (#24) 17.7 9 2.0 100 66.7 %
999991 Christina (#25) 12.5 40 0.3 24 67.5 %
999991 Brittany (#26) 11.6 38 0.3 25 68.4 %
999981 Kyle (#27) 21.5 14 1.5 60 85.7 %
999992 Morgan (#28) 9.0 11 0.8 81 72.7 %
999991 Katherine (#29) 12.1 66 0.2 14 66.7 %
999990 Kimberly (#30) 9.9 21 0.5 43 85.7 %
999993 Michael (#31) 9.2 25 0.4 36 64.0 %
999994 Kayla (#32) 8.4 48 0.2 20 68.8 %
999992 Joshua (#33) 8.5 24 0.3 37 87.5 %
999993 Emily (#34) 8.1 11 0.7 77 72.7 %
999986 Matthew (#35) 15.0 10 1.5 83 90.0 %
999993 Olivia (#36) 8.7 14 0.6 63 64.3 %
999995 Ashley (#37) 5.6 36 0.2 26 69.4 %
999993 Robert (#38) 9.9 7 1.4 131 57.1 %
999993 Jose (#39) 7.7 45 0.2 22 71.1 %
999997 Joseph (#40) 2.9 35 0.1 28 71.4 %
999994 Brian (#41) 8.3 62 0.1 16 67.7 %
999996 Jordan (#42) 5.1 52 0.1 19 67.3 %
999999 Lauren (#43) 0.2 59 0.0 16 66.1 %
999987 Nathan (#44) 13.5 9 1.4 93 88.9 %
999993 Adam (#45) 7.9 98 0.1 10 73.5 %
999997 Cody (#46) 3.3 26 0.1 36 73.1 %
999999 Alexis (#47) 0.1 45 0.0 21 73.3 %
999995 Alexander (#48) 5.7 74 0.1 13 73.0 %
999996 Andrew (#49) 3.9 78 0.1 12 71.8 %
999998 Madison (#50) 1.8 37 0.1 26 59.5 %
999995 Allison (#51) 5.2 33 0.2 29 75.8 %
999998 Maria (#52) 1.4 30 0.0 31 66.7 %
1000000 Cameron (#53) -0.6 28 -0.0 33 71.4 %
999997 Hannah (#54) 3.6 10 0.4 88 60.0 %
1000001 Daniel (#55) -2.6 14 -0.2 60 78.6 %
1000001 Dylan (#56) -3.0 18 -0.2 48 66.7 %
1000000 Kelsey (#57) -1.1 39 -0.0 24 64.1 %
999997 Laura (#58) 3.3 94 0.0 11 63.8 %
1000001 Mary (#59) -3.0 13 -0.2 69 76.9 %
1000002 Courtney (#60) -3.9 16 -0.3 54 68.8 %
1000000 Austin (#61) -1.3 27 -0.0 35 74.1 %
1000001 Haley (#62) -2.7 9 -0.3 96 66.7 %
1000003 Nicole (#63) -6.1 22 -0.3 38 63.6 %
1000001 Anna (#64) -2.8 63 -0.1 16 68.3 %
1000000 Justin (#65) -1.8 152 -0.0 7 61.2 %
1000005 Kevin (#66) -9.2 27 -0.3 36 70.4 %
1000005 Erin (#67) -7.9 13 -0.6 68 69.2 %
999994 Rachel (#68) 7.4 6 1.2 138 66.7 %
1000003 Rebecca (#69) -6.6 22 -0.3 40 59.1 %
1000004 Elizabeth (#70) -7.5 11 -0.7 79 63.6 %
1000000 Abigail (#71) -1.8 123 -0.0 8 72.4 %
1000005 Anthony (#72) -8.3 47 -0.2 21 72.3 %
1000007 Brianna (#73) -12.0 49 -0.2 20 69.4 %
1000004 Charles (#74) -7.2 21 -0.3 41 76.2 %
1000007 Michelle (#75) -10.5 19 -0.6 47 68.4 %
999998 Jesse (#76) 1.8 253 0.0 5 58.9 %
1000005 Alexandra (#77) -7.9 57 -0.1 18 70.2 %
1000006 David (#78) -11.1 22 -0.5 42 63.6 %
1000004 Aaron (#79) -6.9 154 -0.1 7 72.1 %
1000009 Jessica (#80) -14.8 144 -0.1 7 63.9 %
1000013 Mark (#81) -23.6 20 -1.2 48 60.0 %
1000010 Christopher (#82) -17.3 29 -0.6 31 62.1 %
1000011 Melissa (#83) -22.7 32 -0.7 30 53.1 %
1000021 Megan (#84) -40.9 56 -0.7 17 53.6 %
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