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 "Idexx Laboratories Inc (IDXX)"

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

Find The Lastest Buy Signals for IDXX Below.



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Algorithms Results since Jan/2010


  to  
Sort Factor Algorithm % Result # Trades % Result/Trade Days/Trade Hit % Detailed View
999912 Aaron (#1) 107.9 133 0.8 6 80.5 %
999935 Jesse (#2) 94.5 194 0.5 4 68.6 %
999950 Abigail (#3) 65.1 99 0.7 7 75.8 %
999959 Rebecca (#4) 56.2 17 3.3 38 70.6 %
999961 Nicholas (#5) 47.3 27 1.7 24 81.5 %
999957 Samantha (#6) 53.7 9 6.0 67 77.8 %
999973 Alexander (#7) 31.9 55 0.6 11 81.8 %
999976 Jonathan (#8) 31.8 59 0.5 11 72.9 %
999981 Melissa (#9) 25.9 26 1.0 24 69.2 %
999980 Jordan (#10) 25.4 44 0.6 15 75.0 %
999978 Andrew (#11) 28.0 62 0.5 10 74.2 %
999981 Kayla (#12) 23.9 35 0.7 18 74.3 %
999946 Samuel (#13) 63.7 6 10.7 96 83.3 %
999983 Kelsey (#14) 19.6 27 0.7 24 81.5 %
999988 Anna (#15) 14.4 46 0.3 14 78.3 %
999985 Brian (#16) 17.6 46 0.4 14 78.3 %
999982 Jessica (#17) 25.2 109 0.2 7 67.0 %
999988 Alexandra (#18) 16.0 45 0.4 13 71.1 %
999986 Madison (#19) 18.5 28 0.7 22 67.9 %
999987 Cameron (#20) 16.2 22 0.7 27 77.3 %
999983 Joseph (#21) 19.2 21 0.9 28 85.7 %
999988 Nicole (#22) 16.5 15 1.1 42 66.7 %
999990 Michael (#23) 14.3 18 0.8 36 61.1 %
999988 Katherine (#24) 15.1 45 0.3 14 73.3 %
999991 Justin (#25) 11.7 108 0.1 7 65.7 %
999986 Amber (#26) 18.4 75 0.2 9 73.3 %
999994 Christina (#27) 6.6 28 0.3 22 71.4 %
999989 Olivia (#28) 15.4 11 1.4 53 63.6 %
999994 Dylan (#29) 6.8 13 0.5 44 69.2 %
999996 Brianna (#30) 4.7 33 0.2 18 66.7 %
999994 David (#31) 8.5 18 0.4 34 66.7 %
999994 Lauren (#32) 8.2 40 0.2 16 65.0 %
999973 Robert (#33) 30.8 6 5.2 99 83.3 %
999994 Ashley (#34) 5.9 24 0.3 25 83.3 %
999996 Maria (#35) 4.3 21 0.2 30 71.4 %
999996 Elizabeth (#36) 4.3 9 0.4 62 66.7 %
999999 Brittany (#37) 0.0 25 0.0 25 76.0 %
999997 Kevin (#38) 3.0 17 0.2 34 76.5 %
999993 Laura (#39) 10.3 68 0.2 10 55.9 %
999999 Jose (#40) -0.1 29 0.0 22 82.8 %
999995 Adam (#41) 5.9 71 0.1 9 74.7 %
1000000 Christopher (#42) -1.4 19 -0.1 33 68.4 %
999998 Michelle (#43) 2.3 13 0.2 45 61.5 %
999995 Hannah (#44) 4.8 6 0.8 87 83.3 %
1000001 Allison (#45) -1.6 22 -0.1 25 77.3 %
999993 Kimberly (#46) 6.5 12 0.6 48 83.3 %
999992 Richard (#47) 11.6 9 1.3 67 55.6 %
1000001 Charles (#48) -2.7 15 -0.2 36 66.7 %
999996 Juan (#49) 3.7 7 0.6 66 85.7 %
999996 Erin (#50) 4.2 9 0.4 63 66.7 %
1000002 John (#51) -4.5 74 -0.1 9 67.6 %
1000000 Kaitlyn (#52) -1.7 65 -0.0 10 67.7 %
1000003 Anthony (#53) -4.8 32 -0.2 19 71.9 %
999998 Morgan (#54) 1.5 8 0.1 72 75.0 %
1000004 Cody (#55) -7.0 16 -0.4 37 68.8 %
1000000 Megan (#56) -1.3 36 -0.0 17 69.4 %
1000000 Alexis (#57) -0.7 30 -0.0 20 70.0 %
1000001 Mary (#58) -2.0 8 -0.3 71 87.5 %
1000001 Amanda (#59) -1.8 9 -0.2 51 88.9 %
1000002 Christian (#60) -3.2 7 -0.4 65 85.7 %
1000003 Mark (#61) -6.8 13 -0.5 45 53.9 %
1000002 Brandon (#62) -4.2 7 -0.6 66 85.7 %
1000006 Austin (#63) -10.0 16 -0.6 33 68.8 %
1000004 Joshua (#64) -7.4 13 -0.5 44 76.9 %
1000005 Emily (#65) -7.4 7 -1.0 75 85.7 %
1000004 Haley (#66) -8.2 8 -1.0 73 62.5 %
1000010 Daniel (#67) -13.4 8 -1.6 66 87.5 %
1000011 Chelsea (#68) -15.7 8 -2.0 67 75.0 %
1000012 Benjamin (#69) -17.4 9 -1.9 59 77.8 %
1000013 Alyssa (#70) -18.1 9 -2.0 59 77.8 %
1000008 Patrick (#71) -11.6 7 -1.7 84 71.4 %
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