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
999940 Alexander (#1) 72.1 67 1.1 9 82.1 %
999947 Andrew (#2) 64.8 67 1.0 9 80.6 %
999953 Kaitlyn (#3) 62.5 76 0.8 9 73.7 %
999937 Jasmine (#4) 61.9 6 10.3 76 100.0 %
999937 Sara (#5) 62.2 6 10.3 85 100.0 %
999956 John (#6) 60.2 84 0.7 8 71.4 %
999953 Katherine (#7) 59.2 55 1.1 12 78.2 %
999959 Jessica (#8) 58.8 115 0.5 7 67.8 %
999953 Amber (#9) 58.9 84 0.7 8 78.6 %
999952 Anna (#10) 56.8 54 1.1 11 83.3 %
999946 Ryan (#11) 52.6 6 8.8 87 100.0 %
999960 Austin (#12) 51.1 21 2.4 24 76.2 %
999959 Allison (#13) 50.0 24 2.1 21 79.2 %
999963 Laura (#14) 52.4 79 0.7 9 68.4 %
999961 Aaron (#15) 49.5 134 0.4 6 76.9 %
999956 Adam (#16) 53.0 77 0.7 8 81.8 %
999964 Charles (#17) 46.7 19 2.5 27 73.7 %
999968 Justin (#18) 48.1 119 0.4 6 65.6 %
999962 Ashley (#19) 45.4 28 1.6 19 82.1 %
999961 Brian (#20) 46.9 52 0.9 11 80.8 %
999961 Sarah (#21) 46.0 6 7.7 77 83.3 %
999959 Rachel (#22) 40.3 7 5.7 76 100.0 %
999960 Abigail (#23) 48.6 102 0.5 7 79.4 %
999967 Jonathan (#24) 41.9 56 0.8 11 76.8 %
999959 Juan (#25) 40.2 16 2.5 34 100.0 %
999977 Samantha (#26) 35.8 10 3.6 52 60.0 %
999969 Cameron (#27) 37.1 20 1.9 25 80.0 %
999973 David (#28) 35.4 20 1.8 25 75.0 %
999963 Jason (#29) 36.4 6 6.0 84 100.0 %
999974 Cody (#30) 34.6 18 1.9 28 72.2 %
999972 Joseph (#31) 34.8 21 1.7 24 76.2 %
999963 Kyle (#32) 35.8 11 3.3 49 100.0 %
999967 Matthew (#33) 34.6 11 3.2 50 90.9 %
999965 Nathan (#34) 33.8 7 4.9 78 100.0 %
999972 Erin (#35) 32.6 11 3.0 44 81.8 %
999969 Christian (#36) 33.7 9 3.8 51 88.9 %
999975 Kevin (#37) 30.6 17 1.8 30 76.5 %
999976 Kelsey (#38) 31.0 22 1.4 24 72.7 %
999974 Alexis (#39) 31.5 33 0.9 16 81.8 %
999973 Alexandra (#40) 32.7 40 0.8 14 80.0 %
999979 Kayla (#41) 29.4 34 0.9 16 67.7 %
999982 Mark (#42) 26.1 15 1.7 33 66.7 %
999978 Dylan (#43) 26.8 13 2.1 38 76.9 %
999979 Courtney (#44) 27.1 12 2.3 42 75.0 %
999978 Christopher (#45) 27.2 21 1.3 25 76.2 %
999977 Anthony (#46) 29.3 33 0.9 16 75.8 %
999977 Nicole (#47) 27.5 15 1.9 35 80.0 %
999979 Jesse (#48) 30.6 188 0.2 4 66.0 %
999980 Jose (#49) 27.4 26 1.0 21 69.2 %
999980 Lauren (#50) 27.4 42 0.6 15 71.4 %
999978 Christina (#51) 27.8 27 1.0 20 74.1 %
999975 Danielle (#52) 24.0 7 3.4 66 100.0 %
999979 Mary (#53) 26.6 12 2.3 41 75.0 %
999981 Brianna (#54) 24.8 36 0.7 16 72.2 %
999983 Richard (#55) 21.1 8 2.6 60 75.0 %
999985 Emily (#56) 20.3 7 2.9 72 71.4 %
999982 Alyssa (#57) 22.1 21 1.1 24 76.2 %
999985 Haley (#58) 20.4 7 2.9 72 71.4 %
999983 Jordan (#59) 21.7 38 0.6 15 73.7 %
999980 Brandon (#60) 20.8 10 2.1 46 90.0 %
999985 Jacob (#61) 19.8 7 2.9 72 71.4 %
999982 Kimberly (#62) 20.4 13 1.5 37 84.6 %
999983 Samuel (#63) 18.7 6 3.2 79 83.3 %
999987 Maria (#64) 17.9 19 1.0 28 68.4 %
999987 Olivia (#65) 17.2 11 1.6 45 72.7 %
999981 Amanda (#66) 19.7 12 1.7 39 91.7 %
999986 Madison (#67) 18.7 30 0.6 18 70.0 %
999983 Eric (#68) 19.0 6 3.2 75 83.3 %
999985 Brittany (#69) 18.1 25 0.7 21 76.0 %
999988 Michelle (#70) 13.7 11 1.3 44 81.8 %
999987 Daniel (#71) 16.3 8 2.0 62 75.0 %
999989 Benjamin (#72) 13.9 15 0.9 33 73.3 %
999988 Elizabeth (#73) 14.9 7 2.1 71 71.4 %
999990 Morgan (#74) 13.5 8 1.8 63 62.5 %
999991 Chelsea (#75) 12.3 11 1.1 45 63.6 %
999992 Patrick (#76) 9.9 6 1.7 84 66.7 %
999993 Michael (#77) 10.2 15 0.7 35 60.0 %
999990 Joshua (#78) 12.0 16 0.8 31 75.0 %
999993 Megan (#79) 9.2 40 0.2 15 65.0 %
999997 Rebecca (#80) 2.9 14 0.2 38 57.1 %
999997 Melissa (#81) 3.1 22 0.1 24 68.2 %
1000000 Nicholas (#82) -1.6 25 -0.1 22 52.0 %
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