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 "Medtronic Plc (MDT)"

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

Find The Lastest Buy Signals for MDT Below.



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Algorithms Results since Jan/2010


  to  
Sort Factor Algorithm % Result # Trades % Result/Trade Days/Trade Hit % Detailed View
999968 Alexander (#1) 41.6 70 0.6 12 74.3 %
999974 Brian (#2) 32.7 61 0.5 14 77.1 %
999975 Anna (#3) 31.1 59 0.5 14 76.3 %
999978 Kaitlyn (#4) 30.1 83 0.4 10 68.7 %
999977 Allison (#5) 28.2 33 0.9 24 78.8 %
999977 Austin (#6) 29.4 28 1.0 29 75.0 %
999979 Alexis (#7) 25.3 42 0.6 19 81.0 %
999979 Ashley (#8) 25.4 34 0.7 24 79.4 %
999981 John (#9) 26.1 86 0.3 10 68.6 %
999981 Andrew (#10) 23.6 74 0.3 12 75.7 %
999979 Kevin (#11) 25.9 26 1.0 31 76.9 %
999985 Sarah (#12) 20.9 6 3.5 121 66.7 %
999982 Charles (#13) 23.5 21 1.1 37 71.4 %
999984 Amber (#14) 22.4 91 0.2 10 70.3 %
999984 Christina (#15) 19.4 35 0.5 23 77.1 %
999984 Adam (#16) 21.5 86 0.2 10 70.9 %
999982 Joseph (#17) 21.3 31 0.7 26 80.7 %
999981 Abigail (#18) 24.5 111 0.2 8 73.9 %
999985 Aaron (#19) 20.5 137 0.2 7 69.3 %
999985 Anthony (#20) 17.3 39 0.4 21 79.5 %
999988 Jonathan (#21) 14.7 70 0.2 12 70.0 %
999989 Katherine (#22) 14.1 57 0.3 15 71.9 %
999987 Cody (#23) 16.2 22 0.7 35 72.7 %
999989 Cameron (#24) 13.6 26 0.5 30 73.1 %
999991 Samantha (#25) 15.4 11 1.4 69 54.6 %
999989 Laura (#26) 14.9 79 0.2 11 65.8 %
999992 Kayla (#27) 9.9 41 0.2 20 70.7 %
999991 Christopher (#28) 11.1 25 0.4 32 76.0 %
999992 Brianna (#29) 10.2 44 0.2 19 68.2 %
999992 Kelsey (#30) 9.8 28 0.4 29 71.4 %
999992 Jose (#31) 9.5 34 0.3 24 79.4 %
999993 Justin (#32) 8.7 120 0.1 8 64.2 %
999993 Alexandra (#33) 9.1 49 0.2 17 71.4 %
999996 Brittany (#34) 3.8 32 0.1 25 75.0 %
999997 Madison (#35) 3.4 34 0.1 24 64.7 %
999998 Lauren (#36) 1.6 49 0.0 17 65.3 %
999995 Jessica (#37) 5.8 123 0.1 7 64.2 %
999999 Jordan (#38) -0.4 46 0.0 18 71.7 %
999997 Mark (#39) 3.0 20 0.2 40 65.0 %
1000000 Maria (#40) -2.0 23 -0.1 35 73.9 %
1000000 Dylan (#41) -1.1 17 -0.1 45 64.7 %
1000000 Courtney (#42) -1.5 14 -0.1 55 64.3 %
1000000 Erin (#43) -2.5 14 -0.1 54 64.3 %
1000001 David (#44) -2.9 19 -0.2 41 68.4 %
1000005 Megan (#45) -11.2 52 -0.2 16 57.7 %
1000006 Michael (#46) -10.6 21 -0.5 38 61.9 %
1000004 Olivia (#47) -9.4 11 -0.8 67 54.6 %
1000007 Michelle (#48) -13.3 14 -0.9 55 64.3 %
1000007 Nicole (#49) -14.4 17 -0.8 46 58.8 %
1000008 Rebecca (#50) -16.3 18 -0.9 44 55.6 %
1000013 Juan (#51) -15.7 8 -2.0 110 87.5 %
1000016 Kyle (#52) -20.4 6 -3.3 146 83.3 %
1000012 Jesse (#53) -21.7 192 -0.1 5 57.8 %
1000014 Amanda (#54) -24.4 8 -3.0 111 62.5 %
1000015 Melissa (#55) -26.5 28 -1.0 29 60.7 %
1000018 Alyssa (#56) -25.6 16 -1.6 50 75.0 %
1000020 Benjamin (#57) -30.6 13 -2.4 61 69.2 %
1000017 Kimberly (#58) -30.1 10 -3.0 76 60.0 %
1000022 Joshua (#59) -35.1 14 -2.5 55 64.3 %
1000026 Nicholas (#60) -48.5 27 -1.8 30 55.6 %
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