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
999962 Jonathan (#1) 47.5 51 0.9 11 76.5 %
999967 Laura (#2) 46.5 55 0.8 11 69.1 %
999968 Kaitlyn (#3) 44.4 56 0.8 10 71.4 %
999964 Andrew (#4) 44.6 56 0.8 10 76.8 %
999965 Katherine (#5) 43.8 46 1.0 12 78.3 %
999962 Jordan (#6) 44.3 40 1.1 13 85.0 %
999967 Lauren (#7) 43.8 39 1.1 14 71.8 %
999964 Brian (#8) 42.7 45 1.0 12 82.2 %
999964 Madison (#9) 44.4 29 1.5 17 79.3 %
999973 Justin (#10) 38.4 89 0.4 7 69.7 %
999967 Alexander (#11) 38.9 55 0.7 10 81.8 %
999963 Maria (#12) 39.7 21 1.9 22 90.5 %
999964 Christopher (#13) 39.1 22 1.8 22 90.9 %
999969 Anna (#14) 35.8 44 0.8 12 84.1 %
999963 Morgan (#15) 39.4 12 3.3 30 91.7 %
999974 Amber (#16) 33.7 65 0.5 9 73.9 %
999968 Brianna (#17) 36.7 35 1.1 14 82.9 %
999976 John (#18) 33.4 63 0.5 9 68.3 %
999967 Juan (#19) 32.0 13 2.5 19 100.0 %
999969 Anthony (#20) 35.9 34 1.1 14 82.4 %
999968 Christina (#21) 35.6 27 1.3 18 85.2 %
999970 Kayla (#22) 36.4 33 1.1 16 81.8 %
999967 Daniel (#23) 35.1 13 2.7 23 92.3 %
999965 Haley (#24) 37.6 9 4.2 37 88.9 %
999966 Kyle (#25) 32.7 11 3.0 22 100.0 %
999965 Chelsea (#26) 36.3 15 2.4 20 93.3 %
999970 Brittany (#27) 33.8 27 1.3 17 85.2 %
999976 Nicholas (#28) 33.9 24 1.4 22 66.7 %
999966 Elizabeth (#29) 36.4 13 2.8 28 92.3 %
999965 Erin (#30) 37.2 11 3.4 36 90.9 %
999978 Adam (#31) 28.6 65 0.5 9 73.9 %
999972 Alexandra (#32) 31.9 38 0.8 13 84.2 %
999979 Abigail (#33) 27.2 73 0.4 8 72.6 %
999969 Courtney (#34) 31.8 14 2.3 26 92.9 %
999972 Alyssa (#35) 29.1 25 1.2 13 92.0 %
999974 Matthew (#36) 25.2 7 3.6 33 100.0 %
999980 Melissa (#37) 27.7 24 1.2 21 66.7 %
999977 Kimberly (#38) 27.7 18 1.6 21 77.8 %
999972 Mary (#39) 28.7 13 2.2 28 92.3 %
999974 Benjamin (#40) 28.0 21 1.3 15 90.5 %
999974 Joseph (#41) 27.5 26 1.0 16 92.3 %
999977 Brandon (#42) 22.3 7 3.1 27 100.0 %
999975 Jose (#43) 26.9 31 0.9 16 87.1 %
999979 Megan (#44) 28.7 38 0.8 15 68.4 %
999975 Ashley (#45) 27.0 27 1.0 16 88.9 %
999975 David (#46) 27.6 19 1.5 23 84.2 %
999975 Mark (#47) 26.7 17 1.6 26 88.2 %
999974 Dylan (#48) 27.1 13 2.1 31 92.3 %
999976 Cameron (#49) 24.8 22 1.1 19 90.9 %
999978 Emily (#50) 24.3 8 3.0 35 87.5 %
999973 Michelle (#51) 28.4 12 2.3 36 91.7 %
999976 Nicole (#52) 26.8 13 2.1 38 84.6 %
999976 Kelsey (#53) 25.8 25 1.0 19 88.0 %
999978 Robert (#54) 23.7 7 3.4 55 85.7 %
999979 Alexis (#55) 23.7 29 0.8 15 82.8 %
999979 Joshua (#56) 23.4 21 1.1 18 85.7 %
999980 Jacob (#57) 23.0 6 3.8 50 83.3 %
999986 Aaron (#58) 18.3 95 0.2 6 74.7 %
999978 Michael (#59) 23.9 15 1.6 32 86.7 %
999979 Cody (#60) 23.2 15 1.5 27 86.7 %
999979 Patrick (#61) 23.5 9 2.6 38 88.9 %
999983 Hannah (#62) 19.1 6 3.2 42 83.3 %
999981 Kevin (#63) 20.3 20 1.0 22 90.0 %
999983 Rebecca (#64) 23.0 14 1.6 36 71.4 %
999985 Amanda (#65) 16.3 8 2.0 25 87.5 %
999982 Richard (#66) 21.8 9 2.4 49 77.8 %
999984 Allison (#67) 17.2 21 0.8 19 85.7 %
999984 Austin (#68) 17.0 17 1.0 23 88.2 %
999985 Charles (#69) 16.1 16 1.0 24 87.5 %
999988 Samuel (#70) 16.0 7 2.3 55 71.4 %
999991 Jesse (#71) 14.0 143 0.1 5 60.1 %
999985 Samantha (#72) 17.2 10 1.7 46 80.0 %
999992 Jessica (#73) 11.1 84 0.1 7 65.5 %
999986 Olivia (#74) 15.0 10 1.5 43 90.0 %
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