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
999947 Alexander (#1) 68.0 106 0.6 11 76.4 %
999956 Brian (#2) 54.9 87 0.6 13 78.2 %
999960 Kaitlyn (#3) 54.9 121 0.5 10 70.3 %
999958 Anna (#4) 52.0 86 0.6 13 79.1 %
999959 Andrew (#5) 52.8 109 0.5 11 76.2 %
999963 Katherine (#6) 48.8 85 0.6 13 72.9 %
999965 John (#7) 49.4 128 0.4 9 70.3 %
999962 Allison (#8) 46.8 46 1.0 23 78.3 %
999963 Ashley (#9) 46.4 48 1.0 22 79.2 %
999965 Austin (#10) 45.7 39 1.2 27 74.4 %
999964 Amber (#11) 48.2 132 0.4 9 73.5 %
999965 Adam (#12) 46.4 126 0.4 9 74.6 %
999966 Kevin (#13) 43.3 35 1.2 30 77.1 %
999972 Justin (#14) 40.1 182 0.2 7 66.5 %
999972 Jonathan (#15) 36.8 98 0.4 12 72.5 %
999969 Alexis (#16) 37.4 57 0.7 19 80.7 %
999967 Joseph (#17) 40.1 41 1.0 26 80.5 %
999973 Samantha (#18) 41.7 16 2.6 64 62.5 %
999958 Jennifer (#19) 48.9 6 8.2 178 83.3 %
999974 Laura (#20) 37.4 119 0.3 10 66.4 %
999967 Abigail (#21) 41.5 160 0.3 8 75.6 %
999961 Jasmine (#22) 42.9 8 5.4 132 87.5 %
999975 Sarah (#23) 36.0 9 4.0 106 66.7 %
999973 Aaron (#24) 36.1 203 0.2 6 70.9 %
999974 Cameron (#25) 32.8 37 0.9 28 75.7 %
999974 Charles (#26) 34.8 30 1.2 34 70.0 %
999977 Jessica (#27) 33.7 182 0.2 7 65.4 %
999976 Cody (#28) 32.7 31 1.1 33 71.0 %
999979 Christina (#29) 27.4 48 0.6 22 75.0 %
999980 Anthony (#30) 25.3 55 0.5 19 76.4 %
999983 Christopher (#31) 21.5 35 0.6 30 77.1 %
999985 Kelsey (#32) 18.9 39 0.5 27 71.8 %
999987 Brianna (#33) 17.0 62 0.3 18 69.4 %
999984 Mark (#34) 21.9 27 0.8 39 66.7 %
999973 Sara (#35) 30.6 6 5.2 178 83.3 %
999987 Kayla (#36) 17.0 58 0.3 19 69.0 %
999986 Jose (#37) 18.0 47 0.4 23 74.5 %
999989 Lauren (#38) 14.7 69 0.2 16 66.7 %
999981 Ryan (#39) 22.4 6 3.7 178 83.3 %
999985 Erin (#40) 19.2 19 1.0 52 73.7 %
999991 Brittany (#41) 10.8 44 0.3 24 75.0 %
999988 Alexandra (#42) 14.6 67 0.2 17 71.6 %
999990 David (#43) 13.4 29 0.5 35 69.0 %
999983 Heather (#44) 18.7 7 2.7 150 85.7 %
999993 Madison (#45) 9.9 50 0.2 21 64.0 %
999991 Dylan (#46) 11.2 23 0.5 44 69.6 %
999993 Samuel (#47) 9.4 9 1.0 104 66.7 %
999996 Jordan (#48) 3.6 64 0.1 17 71.9 %
999993 Courtney (#49) 7.7 20 0.4 51 70.0 %
999993 Olivia (#50) 8.6 17 0.5 59 64.7 %
999994 Michelle (#51) 6.9 20 0.4 52 75.0 %
999990 Juan (#52) 9.7 17 0.6 64 94.1 %
999996 Richard (#53) 5.2 14 0.4 70 57.1 %
999998 Maria (#54) 1.9 33 0.1 32 69.7 %
1000001 Megan (#55) -2.7 70 -0.0 16 60.0 %
999994 Jason (#56) 6.0 7 0.9 151 85.7 %
999996 Christian (#57) 5.3 9 0.6 118 66.7 %
999996 Rachel (#58) 2.6 6 0.5 178 83.3 %
999998 Jesse (#59) 0.9 282 0.0 5 61.4 %
999999 Nicole (#60) 0.2 24 0.0 43 66.7 %
1000002 Michael (#61) -4.7 28 -0.2 38 60.7 %
1000000 Matthew (#62) -2.3 10 -0.2 108 70.0 %
1000000 Kyle (#63) -1.4 11 -0.1 98 90.9 %
1000000 Elizabeth (#64) -1.3 13 -0.1 77 61.5 %
1000000 Jacob (#65) -0.9 10 -0.1 100 60.0 %
1000000 Danielle (#66) -0.7 8 -0.1 133 75.0 %
1000002 Emily (#67) -3.6 11 -0.4 92 63.6 %
1000000 Eric (#68) -1.9 8 -0.3 131 62.5 %
1000001 Brandon (#69) -2.6 12 -0.3 89 75.0 %
1000000 Haley (#70) -2.4 11 -0.2 91 63.6 %
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) -6.0 28 -0.2 37 75.0 %
1000005 Rebecca (#74) -11.2 25 -0.4 41 56.0 %
1000004 Kimberly (#75) -6.4 19 -0.3 52 79.0 %
1000004 Patrick (#76) -8.8 10 -0.9 99 60.0 %
1000003 Mary (#77) -5.7 16 -0.4 61 68.8 %
1000006 Daniel (#78) -9.9 12 -0.8 85 66.7 %
1000005 Morgan (#79) -9.8 12 -0.8 83 58.3 %
1000009 Joshua (#80) -12.7 25 -0.5 40 76.0 %
1000009 Benjamin (#81) -14.5 22 -0.6 46 72.7 %
1000007 Chelsea (#82) -13.0 16 -0.8 64 62.5 %
1000009 Melissa (#83) -14.8 39 -0.4 27 64.1 %
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