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
999943 Andrew (#1) 72.9 83 0.9 10 77.1 %
999953 Kaitlyn (#2) 67.4 89 0.8 10 68.5 %
999944 Alexander (#3) 67.6 82 0.8 10 80.5 %
999947 Jonathan (#4) 68.2 75 0.9 12 76.0 %
999945 Anna (#5) 66.4 70 0.9 11 81.4 %
999947 Lauren (#6) 67.5 60 1.1 14 76.7 %
999950 Brian (#7) 62.6 65 1.0 13 78.5 %
999955 Laura (#8) 65.2 89 0.7 10 67.4 %
999950 Katherine (#9) 62.6 70 0.9 12 78.6 %
999956 Amber (#10) 59.2 101 0.6 9 73.3 %
999960 John (#11) 59.4 101 0.6 9 66.3 %
999951 Jordan (#12) 59.8 61 1.0 13 80.3 %
999958 Abigail (#13) 55.8 117 0.5 8 72.7 %
999949 Alexandra (#14) 58.8 65 0.9 11 84.6 %
999955 Madison (#15) 58.0 42 1.4 19 76.2 %
999963 Adam (#16) 49.0 96 0.5 9 74.0 %
999952 Kyle (#17) 46.5 16 2.9 25 100.0 %
999954 Anthony (#18) 53.8 55 1.0 13 83.6 %
999957 Brianna (#19) 52.7 53 1.0 14 79.3 %
999970 Justin (#20) 45.5 144 0.3 7 63.9 %
999962 Aaron (#21) 48.5 158 0.3 6 76.6 %
999953 Christopher (#22) 53.9 34 1.6 20 85.3 %
999955 Juan (#23) 43.8 19 2.3 21 100.0 %
999955 Brittany (#24) 51.0 41 1.2 17 85.4 %
999956 Christina (#25) 52.3 42 1.2 18 83.3 %
999964 Nicholas (#26) 49.9 37 1.4 21 70.3 %
999953 Maria (#27) 52.6 31 1.7 23 87.1 %
999963 Megan (#28) 51.9 61 0.9 14 68.9 %
999962 Kayla (#29) 49.1 50 1.0 16 76.0 %
999960 Matthew (#30) 39.3 12 3.3 33 100.0 %
999962 Alexis (#31) 45.2 46 1.0 14 82.6 %
999960 Ashley (#32) 44.6 40 1.1 16 87.5 %
999961 Morgan (#33) 43.9 15 2.9 33 86.7 %
999965 Nathan (#34) 34.2 8 4.3 48 100.0 %
999961 Joseph (#35) 42.2 38 1.1 16 89.5 %
999962 David (#36) 43.2 28 1.5 23 85.7 %
999962 Elizabeth (#37) 41.7 16 2.6 32 87.5 %
999961 Erin (#38) 43.6 14 3.1 40 85.7 %
999975 Jesse (#39) 37.6 236 0.2 5 63.6 %
999962 Cameron (#40) 40.6 32 1.3 19 90.6 %
999964 Jose (#41) 40.8 48 0.9 15 85.4 %
999966 Chelsea (#42) 37.2 17 2.2 25 88.2 %
999964 Nicole (#43) 41.2 20 2.1 36 85.0 %
999968 Haley (#44) 37.8 11 3.5 41 81.8 %
999968 Alyssa (#45) 34.7 30 1.2 15 90.0 %
999969 Daniel (#46) 34.8 14 2.5 29 85.7 %
999964 Cody (#47) 39.6 22 1.8 27 86.4 %
999968 Kelsey (#48) 38.2 37 1.0 19 81.1 %
999968 Mary (#49) 35.7 16 2.3 31 87.5 %
999968 Courtney (#50) 35.3 18 1.9 28 88.9 %
999972 Rachel (#51) 26.7 7 3.9 54 100.0 %
999974 Melissa (#52) 37.2 35 1.1 22 68.6 %
999967 Dylan (#53) 36.2 18 2.0 32 88.9 %
999971 Brandon (#54) 27.5 10 2.8 29 100.0 %
999974 Kimberly (#55) 33.1 22 1.5 23 77.3 %
999966 Kevin (#56) 36.4 31 1.2 20 90.3 %
999972 Mark (#57) 31.4 24 1.3 25 87.5 %
999969 Michael (#58) 36.5 25 1.5 29 80.0 %
999974 Christian (#59) 25.5 8 3.1 36 100.0 %
999979 Jessica (#60) 30.6 141 0.2 7 63.1 %
999974 Benjamin (#61) 29.3 23 1.3 19 87.0 %
999971 Rebecca (#62) 36.5 20 1.9 37 75.0 %
999973 Richard (#63) 33.8 13 2.6 48 76.9 %
999973 Allison (#64) 29.7 28 1.1 20 85.7 %
999973 Austin (#65) 30.4 24 1.3 23 87.5 %
999974 Joshua (#66) 28.7 26 1.1 20 84.6 %
999975 Charles (#67) 28.3 23 1.2 24 87.0 %
999979 Amanda (#68) 21.9 11 2.0 28 90.9 %
999974 Michelle (#69) 28.6 16 1.8 38 87.5 %
999979 Patrick (#70) 25.2 11 2.3 43 81.8 %
999981 Emily (#71) 22.9 9 2.6 44 77.8 %
999984 Jacob (#72) 21.1 7 3.0 60 71.4 %
999982 Samuel (#73) 21.5 9 2.4 57 77.8 %
999983 Robert (#74) 21.1 8 2.6 63 75.0 %
999984 Danielle (#75) 14.6 6 2.5 48 100.0 %
999987 Hannah (#76) 16.6 7 2.4 52 71.4 %
999987 Sarah (#77) 14.4 6 2.3 86 83.3 %
999987 Samantha (#78) 18.7 14 1.4 45 64.3 %
999979 Olivia (#79) 23.3 14 1.6 43 85.7 %
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