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 "General Mills Inc (GIS)"

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    Please select the "Detailed View" button to see how it performs!

Find The Lastest Buy Signals for GIS Below.



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Algorithms Results since Jan/2010


  to  
Sort Factor Algorithm % Result # Trades % Result/Trade Days/Trade Hit % Detailed View
999955 Joshua (#1) 51.4 44 1.2 25 86.4 %
999970 Kimberly (#2) 33.0 37 0.9 29 86.5 %
999976 Courtney (#3) 31.2 27 1.2 40 74.1 %
999975 Erin (#4) 30.1 21 1.4 51 81.0 %
999979 Megan (#5) 31.1 65 0.5 17 63.1 %
999976 Charles (#6) 29.5 28 1.1 38 75.0 %
999982 Sarah (#7) 28.0 10 2.8 104 60.0 %
999973 Alyssa (#8) 29.4 44 0.7 24 88.6 %
999976 Michelle (#9) 30.0 25 1.2 42 76.0 %
999979 Olivia (#10) 27.3 19 1.4 56 73.7 %
999977 Allison (#11) 26.1 48 0.5 23 85.4 %
999981 Mark (#12) 24.2 26 0.9 40 76.9 %
999979 Elizabeth (#13) 23.6 18 1.3 61 83.3 %
999983 Alexis (#14) 21.3 54 0.4 20 77.8 %
999981 Brittany (#15) 22.0 49 0.5 22 79.6 %
999981 Melissa (#16) 22.6 44 0.5 25 77.3 %
999984 Samantha (#17) 22.3 16 1.4 67 68.8 %
999982 Ashley (#18) 20.9 44 0.5 24 81.8 %
999982 Austin (#19) 20.0 38 0.5 28 84.2 %
999982 Joseph (#20) 20.2 40 0.5 27 87.5 %
999987 Amber (#21) 17.5 116 0.2 10 73.3 %
999985 Benjamin (#22) 17.2 28 0.6 38 82.1 %
999988 Abigail (#23) 16.0 142 0.1 8 71.8 %
999985 Adam (#24) 18.7 109 0.2 10 73.4 %
999983 Christina (#25) 21.3 47 0.5 23 74.5 %
999987 Kaitlyn (#26) 18.4 107 0.2 11 69.2 %
999985 Dylan (#27) 18.6 22 0.9 48 72.7 %
999986 Richard (#28) 16.2 16 1.0 65 81.3 %
999987 Chelsea (#29) 14.8 25 0.6 42 80.0 %
999988 Nicole (#30) 16.4 27 0.6 40 66.7 %
999989 Mary (#31) 15.0 26 0.6 41 69.2 %
999988 Samuel (#32) 14.8 12 1.3 87 75.0 %
999986 Jesse (#33) 19.5 285 0.1 4 63.9 %
999989 Jessica (#34) 14.8 166 0.1 7 66.9 %
999986 Jose (#35) 17.2 50 0.3 22 78.0 %
999988 Cody (#36) 14.4 26 0.5 40 76.9 %
999989 Haley (#37) 12.8 16 0.8 67 75.0 %
999986 Andrew (#38) 17.6 91 0.2 12 72.5 %
999986 Kelsey (#39) 17.5 42 0.4 26 73.8 %
999986 Cameron (#40) 16.8 34 0.5 31 76.5 %
999988 Morgan (#41) 14.2 21 0.7 51 76.2 %
999988 Daniel (#42) 14.1 20 0.7 53 75.0 %
999987 Alexandra (#43) 16.3 68 0.2 16 75.0 %
999988 Christopher (#44) 14.9 34 0.4 31 73.5 %
999989 Jonathan (#45) 13.5 88 0.2 13 71.6 %
999987 Anthony (#46) 16.9 57 0.3 19 70.2 %
999989 Emily (#47) 11.9 16 0.8 66 81.3 %
999991 Aaron (#48) 12.2 183 0.1 7 70.5 %
999993 Robert (#49) 8.8 13 0.7 80 69.2 %
999994 Jason (#50) 8.4 6 1.3 164 66.7 %
999990 Kayla (#51) 11.8 58 0.2 19 72.4 %
999992 Kevin (#52) 9.1 29 0.3 36 72.4 %
999992 Brianna (#53) 9.4 56 0.2 20 73.2 %
999992 Alexander (#54) 10.2 87 0.1 13 74.7 %
999993 Juan (#55) 6.6 18 0.4 54 88.9 %
999995 James (#56) 6.7 8 0.9 123 62.5 %
999994 Lauren (#57) 8.1 63 0.1 17 61.9 %
999992 David (#58) 9.4 26 0.4 41 76.9 %
999992 Jacob (#59) 7.6 12 0.7 87 83.3 %
999995 Matthew (#60) 5.2 11 0.5 87 81.8 %
999994 Katherine (#61) 8.0 75 0.1 15 66.7 %
999996 Patrick (#62) 4.2 14 0.3 77 64.3 %
999996 Justin (#63) 5.4 162 0.0 7 68.5 %
999996 John (#64) 4.9 115 0.0 10 69.6 %
999993 Jordan (#65) 7.8 65 0.1 17 70.8 %
999995 Madison (#66) 6.2 49 0.1 22 71.4 %
999995 Rebecca (#67) 5.2 24 0.2 45 70.8 %
999998 Kyle (#68) 1.0 16 0.1 61 87.5 %
999998 Hannah (#69) 1.1 10 0.1 102 80.0 %
999998 Anna (#70) 1.6 67 0.0 17 71.6 %
999999 Brian (#71) -0.4 72 0.0 16 68.1 %
1000000 Amanda (#72) -1.1 18 -0.1 53 83.3 %
1000000 Nathan (#73) -2.2 10 -0.2 97 70.0 %
999999 Michael (#74) -0.2 28 0.0 38 71.4 %
999999 Maria (#75) 0.1 35 0.0 31 68.6 %
1000002 Laura (#76) -3.9 108 -0.0 11 63.0 %
1000004 Brandon (#77) -6.7 12 -0.6 79 75.0 %
1000004 Eric (#78) -8.5 6 -1.3 153 66.7 %
1000006 Danielle (#79) -10.3 8 -1.3 115 75.0 %
1000006 Nicholas (#80) -12.6 44 -0.3 25 52.3 %
1000008 Christian (#81) -11.1 9 -1.2 105 77.8 %
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