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
999942 John (#1) 76.3 124 0.6 9 75.0 %
999935 Aaron (#2) 83.3 201 0.4 6 77.6 %
999954 Laura (#3) 66.4 115 0.6 10 68.7 %
999947 Andrew (#4) 68.2 102 0.7 10 76.5 %
999950 Jonathan (#5) 66.9 94 0.7 11 73.4 %
999943 Amber (#6) 73.2 126 0.6 9 77.0 %
999942 Maria (#7) 63.9 37 1.7 24 89.2 %
999953 Alexander (#8) 60.3 93 0.7 11 77.4 %
999944 Abigail (#9) 71.2 151 0.5 8 76.8 %
999957 Madison (#10) 53.2 48 1.1 19 79.2 %
999953 Christopher (#11) 54.0 39 1.4 23 84.6 %
999958 Kaitlyn (#12) 58.7 109 0.5 10 69.7 %
999953 Anna (#13) 58.9 80 0.7 12 77.5 %
999949 David (#14) 56.7 33 1.7 26 87.9 %
999949 Jose (#15) 55.9 59 1.0 16 89.8 %
999961 Brian (#16) 51.4 76 0.7 13 75.0 %
999961 Lauren (#17) 51.3 71 0.7 15 74.7 %
999949 Erin (#18) 54.9 21 2.6 35 90.5 %
999955 Anthony (#19) 50.9 63 0.8 14 85.7 %
999954 Brittany (#20) 50.5 47 1.1 18 89.4 %
999952 Alexandra (#21) 55.6 77 0.7 12 83.1 %
999956 Adam (#22) 56.7 122 0.5 9 76.2 %
999956 Richard (#23) 50.9 20 2.6 43 85.0 %
999963 Jordan (#24) 45.5 67 0.7 15 79.1 %
999958 Kelsey (#25) 49.6 47 1.1 19 83.0 %
999957 Rebecca (#26) 56.4 24 2.3 36 75.0 %
999953 Courtney (#27) 49.6 24 2.1 29 91.7 %
999954 Nicole (#28) 50.5 25 2.0 35 88.0 %
999962 Jesse (#29) 59.7 283 0.2 5 61.8 %
999956 Joseph (#30) 47.6 47 1.0 18 89.4 %
999969 Katherine (#31) 42.5 80 0.5 13 71.3 %
999956 Ashley (#32) 48.6 50 1.0 17 88.0 %
999953 Cameron (#33) 51.0 43 1.2 19 90.7 %
999960 Michael (#34) 45.2 30 1.5 29 86.7 %
999960 Jessica (#35) 59.2 181 0.3 7 65.8 %
999966 Justin (#36) 49.4 174 0.3 7 66.7 %
999959 Kevin (#37) 47.1 41 1.2 21 85.4 %
999955 Elizabeth (#38) 48.0 22 2.2 31 90.9 %
999961 Christina (#39) 43.4 48 0.9 19 87.5 %
999955 Alexis (#40) 49.8 59 0.9 15 88.1 %
999965 Brianna (#41) 43.0 57 0.8 16 79.0 %
999969 Melissa (#42) 43.6 43 1.0 22 67.4 %
999970 Kayla (#43) 37.3 58 0.6 16 77.6 %
999958 Cody (#44) 48.3 29 1.7 28 86.2 %
999961 Chelsea (#45) 40.7 25 1.6 24 92.0 %
999969 Morgan (#46) 33.8 16 2.1 41 87.5 %
999960 Benjamin (#47) 43.4 34 1.3 19 91.2 %
999973 Nicholas (#48) 37.5 41 0.9 23 68.3 %
999966 Michelle (#49) 37.2 20 1.9 41 90.0 %
999969 Dylan (#50) 33.2 21 1.6 37 90.5 %
999968 Olivia (#51) 36.5 18 2.1 46 83.3 %
999960 Alyssa (#52) 41.9 38 1.1 17 92.1 %
999968 Mary (#53) 34.4 21 1.6 32 90.5 %
999970 Mark (#54) 32.6 27 1.2 30 88.9 %
999976 Megan (#55) 35.1 72 0.5 15 66.7 %
999974 Haley (#56) 29.5 13 2.2 47 84.6 %
999968 Austin (#57) 35.1 35 1.0 22 88.6 %
999972 Charles (#58) 31.0 29 1.1 26 86.2 %
999974 Kimberly (#59) 30.1 26 1.2 26 84.6 %
999975 Allison (#60) 28.3 38 0.7 21 86.8 %
999976 Joshua (#61) 24.9 31 0.8 22 90.3 %
999978 Daniel (#62) 23.6 17 1.4 34 88.2 %
999992 Samantha (#63) 10.2 18 0.6 47 66.7 %
999976 Amanda (#64) 26.5 17 1.5 30 88.2 %
999987 Patrick (#65) 15.1 11 1.4 56 81.8 %
999988 Kyle (#66) 12.6 7 1.9 72 85.7 %
999985 Brandon (#67) 17.3 12 1.4 42 83.3 %
999993 Hannah (#68) 8.2 8 1.0 69 75.0 %
999995 Robert (#69) 4.7 8 0.6 78 75.0 %
999995 Jacob (#70) 6.3 6 1.0 101 66.7 %
999994 Sarah (#71) 7.8 8 1.0 83 62.5 %
999993 Christian (#72) 8.1 8 1.0 63 75.0 %
999999 Samuel (#73) -0.2 8 0.0 83 62.5 %
999994 Juan (#74) 5.8 7 0.9 71 85.7 %
999997 Emily (#75) 2.8 8 0.4 71 75.0 %
1000002 Danielle (#76) -3.6 6 -0.7 84 66.7 %
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