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
999950 Alexander (#1) 64.4 100 0.6 11 77.0 %
999962 Kaitlyn (#2) 53.5 115 0.5 10 70.4 %
999959 Brian (#3) 50.7 82 0.6 13 79.3 %
999961 Anna (#4) 47.8 80 0.6 13 80.0 %
999964 John (#5) 49.1 121 0.4 9 71.1 %
999962 Andrew (#6) 48.1 102 0.5 11 76.5 %
999967 Katherine (#7) 44.4 80 0.6 13 72.5 %
999966 Amber (#8) 44.6 124 0.4 9 73.4 %
999968 Allison (#9) 40.5 43 1.0 24 76.7 %
999969 Ashley (#10) 38.5 45 0.8 23 77.8 %
999970 Austin (#11) 39.7 37 1.1 28 73.0 %
999968 Adam (#12) 41.2 119 0.3 9 74.8 %
999970 Aaron (#13) 40.3 194 0.2 6 71.7 %
999974 Justin (#14) 38.1 174 0.2 7 66.7 %
999973 Samantha (#15) 41.7 16 2.6 64 62.5 %
999958 Jennifer (#16) 48.9 6 8.2 178 83.3 %
999975 Jonathan (#17) 33.3 92 0.4 12 73.9 %
999970 Kevin (#18) 38.0 33 1.2 31 75.8 %
999961 Jasmine (#19) 42.9 8 5.4 132 87.5 %
999975 Sarah (#20) 36.0 9 4.0 106 66.7 %
999969 Abigail (#21) 39.7 152 0.3 8 75.7 %
999972 Joseph (#22) 33.6 38 0.9 27 79.0 %
999976 Jessica (#23) 34.7 174 0.2 7 66.1 %
999976 Alexis (#24) 29.5 54 0.5 19 79.6 %
999977 Laura (#25) 33.3 113 0.3 10 66.4 %
999979 Charles (#26) 28.9 28 1.0 36 67.9 %
999981 Cameron (#27) 24.3 34 0.7 29 73.5 %
999982 Christina (#28) 23.2 46 0.5 22 73.9 %
999982 Anthony (#29) 21.6 53 0.4 19 75.5 %
999982 Cody (#30) 24.9 28 0.9 35 67.9 %
999973 Sara (#31) 30.6 6 5.2 178 83.3 %
999988 Brianna (#32) 15.8 59 0.3 17 69.5 %
999987 Kelsey (#33) 16.7 38 0.5 27 71.1 %
999989 Kayla (#34) 14.9 55 0.3 19 69.1 %
999987 Christopher (#35) 15.9 33 0.5 30 75.8 %
999988 Jose (#36) 15.0 45 0.3 23 73.3 %
999981 Ryan (#37) 22.4 6 3.7 178 83.3 %
999988 Mark (#38) 16.7 25 0.7 41 64.0 %
999992 Lauren (#39) 10.4 64 0.2 16 67.2 %
999988 Erin (#40) 15.0 18 0.8 55 72.2 %
999983 Heather (#41) 18.7 7 2.7 150 85.7 %
999993 Brittany (#42) 7.7 42 0.2 24 73.8 %
999995 Madison (#43) 7.0 47 0.2 21 63.8 %
999992 Alexandra (#44) 10.2 62 0.2 17 71.0 %
999993 Samuel (#45) 9.4 9 1.0 104 66.7 %
999993 David (#46) 9.2 28 0.3 35 67.9 %
999997 Jordan (#47) 3.0 61 0.1 17 73.8 %
999993 Olivia (#48) 8.6 17 0.5 59 64.7 %
999996 Dylan (#49) 4.3 21 0.2 47 66.7 %
999994 Jesse (#50) 7.5 268 0.0 5 61.6 %
999990 Juan (#51) 9.7 17 0.6 64 94.1 %
999995 Michelle (#52) 5.5 19 0.3 53 73.7 %
999996 Richard (#53) 5.2 14 0.4 70 57.1 %
999994 Jason (#54) 6.0 7 0.9 151 85.7 %
999997 Courtney (#55) 3.5 19 0.2 53 68.4 %
1000000 Maria (#56) -2.4 32 -0.1 32 68.8 %
999996 Christian (#57) 5.3 9 0.6 118 66.7 %
999996 Rachel (#58) 2.6 6 0.5 178 83.3 %
999998 Nicole (#59) 0.6 22 0.1 45 68.2 %
1000004 Megan (#60) -8.4 65 -0.1 16 60.0 %
1000000 Matthew (#61) -2.3 10 -0.2 108 70.0 %
1000000 Kyle (#62) -1.4 11 -0.1 98 90.9 %
1000000 Jacob (#63) -0.9 10 -0.1 100 60.0 %
1000000 Danielle (#64) -0.7 8 -0.1 133 75.0 %
1000002 Emily (#65) -3.6 11 -0.4 92 63.6 %
1000000 Eric (#66) -1.9 8 -0.3 131 62.5 %
1000001 Brandon (#67) -2.6 12 -0.3 89 75.0 %
1000000 Haley (#68) -2.4 11 -0.2 91 63.6 %
1000004 Michael (#69) -8.7 27 -0.3 38 59.3 %
1000002 Elizabeth (#70) -5.9 12 -0.5 82 58.3 %
1000003 Nathan (#71) -6.4 7 -0.9 153 71.4 %
1000005 Amanda (#72) -6.7 15 -0.5 71 80.0 %
1000004 Alyssa (#73) -6.8 27 -0.3 38 74.1 %
1000004 Patrick (#74) -8.8 10 -0.9 99 60.0 %
1000003 Mary (#75) -5.7 16 -0.4 61 68.8 %
1000006 Rebecca (#76) -13.5 24 -0.5 42 54.2 %
1000006 Daniel (#77) -9.9 12 -0.8 85 66.7 %
1000005 Morgan (#78) -9.8 12 -0.8 83 58.3 %
1000009 Joshua (#79) -13.3 24 -0.5 41 75.0 %
1000008 Kimberly (#80) -10.8 18 -0.6 54 77.8 %
1000007 Chelsea (#81) -13.0 16 -0.8 64 62.5 %
1000010 Benjamin (#82) -15.0 21 -0.7 48 71.4 %
1000012 Melissa (#83) -20.5 37 -0.6 27 62.2 %
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