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
999937 Alexander (#1) 80.7 100 0.8 10 77.0 %
999948 Kaitlyn (#2) 71.2 112 0.6 10 71.4 %
999945 Anna (#3) 67.4 83 0.8 12 80.7 %
999948 Andrew (#4) 67.3 102 0.7 11 76.5 %
999950 Brian (#5) 62.0 81 0.8 13 79.0 %
999951 Katherine (#6) 63.1 82 0.8 13 75.6 %
999957 John (#7) 62.5 121 0.5 9 67.8 %
999959 Amber (#8) 54.5 123 0.5 9 73.2 %
999959 Adam (#9) 52.6 118 0.5 9 75.4 %
999964 Aaron (#10) 49.1 195 0.3 6 71.8 %
999964 Ashley (#11) 44.5 46 1.0 21 80.4 %
999967 Jonathan (#12) 43.2 90 0.5 12 73.3 %
999967 Laura (#13) 48.1 112 0.4 10 66.1 %
999961 Abigail (#14) 50.2 150 0.3 8 75.3 %
999971 Justin (#15) 43.0 173 0.3 7 65.3 %
999969 Jessica (#16) 46.4 172 0.3 7 66.3 %
999954 Jennifer (#17) 54.3 6 9.0 168 83.3 %
999970 Allison (#18) 37.9 39 1.0 25 76.9 %
999971 Austin (#19) 37.9 34 1.1 28 73.5 %
999968 Alexis (#20) 37.7 56 0.7 18 80.4 %
999971 Lauren (#21) 37.7 66 0.6 16 72.7 %
999973 Anthony (#22) 33.6 54 0.6 18 77.8 %
999974 Christina (#23) 33.0 46 0.7 21 76.1 %
999976 Sarah (#24) 33.6 9 3.8 101 66.7 %
999976 Cameron (#25) 30.1 33 0.9 29 75.8 %
999966 Jasmine (#26) 37.6 7 5.4 143 85.7 %
999980 Kayla (#27) 27.0 56 0.5 18 69.6 %
999982 Brianna (#28) 25.1 61 0.4 17 68.9 %
999976 Alexandra (#29) 30.2 64 0.5 16 75.0 %
999981 Christopher (#30) 23.1 35 0.7 27 77.1 %
999982 Charles (#31) 26.3 27 1.0 36 66.7 %
999982 Kelsey (#32) 23.5 38 0.6 26 73.7 %
999982 Jose (#33) 23.3 45 0.5 22 75.6 %
999969 Sara (#34) 35.1 7 5.0 151 85.7 %
999987 Samantha (#35) 23.2 15 1.5 64 53.3 %
999982 Joseph (#36) 22.1 36 0.6 27 75.0 %
999984 Cody (#37) 21.9 27 0.8 35 70.4 %
999984 Brittany (#38) 19.7 43 0.5 23 76.7 %
999976 Ryan (#39) 26.6 7 3.9 153 85.7 %
999985 Madison (#40) 19.8 47 0.4 21 68.1 %
999988 Megan (#41) 16.4 65 0.3 16 66.2 %
999987 Kevin (#42) 17.2 30 0.6 32 73.3 %
999986 Jordan (#43) 17.0 62 0.3 16 74.2 %
999986 Jesse (#44) 20.6 276 0.1 5 63.8 %
999991 David (#45) 11.0 29 0.4 32 72.4 %
999986 Heather (#46) 15.7 6 2.7 166 83.3 %
999987 Rachel (#47) 14.2 8 1.8 136 87.5 %
999990 Matthew (#48) 11.3 13 0.9 85 84.6 %
999988 Juan (#49) 12.5 18 0.7 61 94.4 %
999995 Mark (#50) 5.8 24 0.3 40 62.5 %
999990 Kyle (#51) 9.9 13 0.8 84 92.3 %
999996 Erin (#52) 3.8 16 0.3 58 68.8 %
999990 Jason (#53) 10.1 7 1.4 150 85.7 %
999993 Nathan (#54) 7.2 8 0.9 137 87.5 %
999998 Maria (#55) 1.7 33 0.1 30 72.7 %
999996 Nicole (#56) 4.3 22 0.2 43 68.2 %
999999 Dylan (#57) 0.5 20 0.0 47 65.0 %
999993 Christian (#58) 7.1 10 0.7 101 80.0 %
1000002 Samuel (#59) -4.1 8 -0.5 113 62.5 %
1000001 Courtney (#60) -2.6 17 -0.2 56 64.7 %
1000003 Michael (#61) -5.8 27 -0.2 36 59.3 %
1000000 Brandon (#62) -1.4 13 -0.1 78 84.6 %
1000003 Michelle (#63) -5.5 17 -0.3 55 70.6 %
1000003 Richard (#64) -6.5 12 -0.6 76 58.3 %
1000001 Danielle (#65) -2.4 8 -0.3 127 87.5 %
1000002 Amanda (#66) -2.8 15 -0.2 68 86.7 %
1000003 Alyssa (#67) -5.5 26 -0.2 37 73.1 %
1000003 James (#68) -6.5 7 -1.0 140 57.1 %
1000004 Emily (#69) -8.8 9 -1.0 107 55.6 %
1000003 Eric (#70) -5.6 7 -0.9 143 71.4 %
1000004 Melissa (#71) -7.4 37 -0.2 26 64.9 %
1000007 Olivia (#72) -12.5 15 -0.9 62 60.0 %
1000005 Jacob (#73) -10.5 9 -1.1 106 55.6 %
1000004 Mary (#74) -7.3 14 -0.5 67 64.3 %
1000006 Haley (#75) -12.1 9 -1.3 107 55.6 %
1000009 Joshua (#76) -14.2 22 -0.6 43 72.7 %
1000009 Kimberly (#77) -13.3 16 -0.8 58 75.0 %
1000007 Daniel (#78) -13.6 10 -1.4 96 60.0 %
1000010 Benjamin (#79) -15.8 19 -0.8 50 68.4 %
1000010 Rebecca (#80) -20.9 22 -1.0 43 54.6 %
1000010 Chelsea (#81) -20.5 13 -1.6 74 53.9 %
1000014 Nicholas (#82) -28.3 41 -0.7 24 53.7 %
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