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 "Abbott Laboratories (ABT)"

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

Find The Lastest Buy Signals for ABT Below.



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Algorithms Results since Jan/2010


  to  
Sort Factor Algorithm % Result # Trades % Result/Trade Days/Trade Hit % Detailed View
999988 Jessica (#1) 16.6 56 0.3 7 66.1 %
999994 Emily (#2) 7.7 6 1.3 50 66.7 %
999992 Jesse (#3) 10.1 88 0.1 5 65.9 %
999993 Kevin (#4) 7.2 15 0.5 24 80.0 %
999994 Amanda (#5) 6.4 8 0.8 37 75.0 %
999990 Alexis (#6) 10.1 22 0.5 16 86.4 %
999991 Brittany (#7) 9.2 20 0.5 16 85.0 %
999996 Alyssa (#8) 4.4 13 0.3 25 84.6 %
999997 Benjamin (#9) 2.7 10 0.3 31 80.0 %
999996 Brandon (#10) 4.3 6 0.7 49 66.7 %
999995 John (#11) 5.7 43 0.1 9 72.1 %
999995 Laura (#12) 5.6 36 0.2 10 66.7 %
999997 Austin (#13) 2.6 12 0.3 28 75.0 %
999995 Anthony (#14) 4.9 22 0.2 15 81.8 %
999997 Joshua (#15) 3.1 8 0.4 40 75.0 %
999997 Daniel (#16) 2.9 6 0.5 49 66.7 %
999997 Abigail (#17) 3.3 43 0.1 9 67.4 %
999997 Justin (#18) 3.3 51 0.1 8 62.8 %
999997 Kaitlyn (#19) 3.4 35 0.1 11 68.6 %
999994 Joseph (#20) 6.1 17 0.4 22 76.5 %
999996 Ashley (#21) 4.3 18 0.2 19 83.3 %
999999 Christopher (#22) 0.3 14 0.0 23 71.4 %
999996 Maria (#23) 2.6 12 0.3 27 83.3 %
999999 Chelsea (#24) -0.1 6 0.0 49 66.7 %
1000000 Kimberly (#25) -1.6 6 -0.3 54 66.7 %
999998 Aaron (#26) 1.1 59 0.0 7 62.7 %
999997 Andrew (#27) 2.2 29 0.1 13 79.3 %
999998 Alexandra (#28) 1.9 25 0.1 14 72.0 %
999998 Jose (#29) 1.5 17 0.1 20 82.4 %
1000000 Brian (#30) -0.8 21 -0.1 17 71.4 %
1000000 Charles (#31) -1.0 9 -0.1 35 77.8 %
1000000 Cody (#32) -1.5 7 -0.1 48 71.4 %
999999 Kelsey (#33) 0.4 13 0.0 25 69.2 %
999997 Mark (#34) 1.8 9 0.2 39 77.8 %
999997 David (#35) 1.9 11 0.2 32 81.8 %
999997 Michael (#36) 2.6 9 0.3 36 77.8 %
999998 Amber (#37) 1.9 36 0.1 10 72.2 %
999998 Allison (#38) 0.9 13 0.1 26 76.9 %
999997 Christina (#39) 2.8 14 0.2 23 78.6 %
1000002 Erin (#40) -4.8 6 -0.8 51 66.7 %
1000001 Madison (#41) -3.2 14 -0.2 24 78.6 %
1000001 Melissa (#42) -2.8 13 -0.2 25 61.5 %
1000001 Rebecca (#43) -3.2 8 -0.4 37 75.0 %
1000000 Jonathan (#44) -1.4 24 -0.0 14 70.8 %
1000001 Katherine (#45) -3.0 20 -0.2 17 65.0 %
1000000 Cameron (#46) -1.4 12 -0.1 28 66.7 %
1000003 Jordan (#47) -5.2 21 -0.2 16 71.4 %
1000001 Nicholas (#48) -2.9 15 -0.2 22 53.3 %
1000001 Olivia (#49) -3.0 6 -0.5 56 66.7 %
1000001 Alexander (#50) -1.6 25 -0.1 14 76.0 %
1000000 Anna (#51) -1.5 22 -0.1 16 72.7 %
1000000 Brianna (#52) -2.1 18 -0.1 19 72.2 %
1000002 Courtney (#53) -5.3 6 -0.8 49 66.7 %
1000004 Kayla (#54) -7.1 16 -0.4 21 75.0 %
1000004 Dylan (#55) -8.0 6 -1.3 53 66.7 %
1000002 Michelle (#56) -5.7 7 -0.9 49 57.1 %
1000003 Adam (#57) -5.4 31 -0.2 12 74.2 %
1000002 Lauren (#58) -4.5 18 -0.2 19 72.2 %
1000007 Megan (#59) -12.9 18 -0.7 19 61.1 %
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