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


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Sort Factor Algorithm % Result # Trades % Result/Trade Days/Trade Hit % Detailed View
999979 Megan (#1) 32.0 45 0.7 17 62.2 %
999986 Sarah (#2) 19.1 6 3.2 135 66.7 %
999988 Jessica (#3) 17.1 111 0.2 7 67.6 %
999987 Adam (#4) 16.2 75 0.2 10 77.3 %
999984 Christina (#5) 19.7 35 0.6 22 77.1 %
999987 Jonathan (#6) 15.7 60 0.3 12 76.7 %
999985 Brianna (#7) 16.7 41 0.4 18 80.5 %
999988 Alexis (#8) 13.8 35 0.4 20 80.0 %
999988 Amber (#9) 13.8 76 0.2 9 75.0 %
999983 Anthony (#10) 19.6 41 0.5 18 78.1 %
999988 Kaitlyn (#11) 14.7 68 0.2 11 70.6 %
999991 John (#12) 10.4 75 0.1 10 76.0 %
999986 Kelsey (#13) 17.0 33 0.5 23 75.8 %
999992 Abigail (#14) 10.0 93 0.1 8 71.0 %
999991 Justin (#15) 11.7 107 0.1 7 70.1 %
999991 Lauren (#16) 11.9 44 0.3 17 65.9 %
999989 Brittany (#17) 13.4 34 0.4 21 79.4 %
999989 Andrew (#18) 13.2 63 0.2 12 77.8 %
999989 Katherine (#19) 13.7 53 0.3 14 71.7 %
999988 Alexandra (#20) 12.6 50 0.3 15 82.0 %
999991 Ashley (#21) 10.8 29 0.4 25 75.9 %
999990 Christopher (#22) 12.3 24 0.5 30 70.8 %
999991 Cameron (#23) 11.4 26 0.4 28 69.2 %
999988 Jose (#24) 13.0 39 0.3 19 82.1 %
999992 Madison (#25) 9.5 34 0.3 22 73.5 %
999994 Charles (#26) 7.1 20 0.4 38 70.0 %
999994 Kayla (#27) 7.4 42 0.2 18 76.2 %
999996 Erin (#28) 4.4 14 0.3 53 71.4 %
999996 Mark (#29) 4.3 19 0.2 37 68.4 %
999997 Laura (#30) 3.2 69 0.0 11 62.3 %
999996 Michelle (#31) 4.5 17 0.2 42 64.7 %
999998 Robert (#32) 0.6 7 0.1 115 57.1 %
999996 Brian (#33) 4.2 53 0.1 14 73.6 %
999996 Anna (#34) 4.4 50 0.1 15 78.0 %
999995 Austin (#35) 5.4 26 0.2 29 73.1 %
999996 Cody (#36) 4.8 20 0.3 36 70.0 %
999998 Joseph (#37) 0.9 26 0.0 28 76.9 %
999996 Aaron (#38) 3.8 119 0.0 7 69.8 %
999996 Melissa (#39) 4.2 28 0.1 27 71.4 %
999996 Alexander (#40) 4.2 59 0.1 12 79.7 %
999995 Jordan (#41) 4.9 47 0.1 16 76.6 %
999998 Joshua (#42) 1.2 20 0.1 40 75.0 %
1000000 Elizabeth (#43) -1.4 10 -0.1 80 70.0 %
999998 Samantha (#44) 1.3 9 0.1 82 55.6 %
999998 Allison (#45) 1.0 27 0.0 28 74.1 %
1000001 Samuel (#46) -2.8 7 -0.4 117 57.1 %
1000001 Courtney (#47) -3.2 16 -0.2 48 62.5 %
1000001 Dylan (#48) -3.4 14 -0.2 51 64.3 %
1000000 Kevin (#49) -2.3 19 -0.1 38 63.2 %
999998 Maria (#50) 1.4 26 0.0 28 69.2 %
1000002 Olivia (#51) -4.0 12 -0.3 60 66.7 %
1000003 Matthew (#52) -5.2 7 -0.7 120 71.4 %
1000000 David (#53) -0.6 20 -0.1 36 70.0 %
1000004 Kimberly (#54) -7.4 15 -0.5 54 73.3 %
1000003 Nicole (#55) -5.9 17 -0.4 43 58.8 %
1000003 Morgan (#56) -5.8 9 -0.7 91 66.7 %
1000002 Jesse (#57) -5.4 185 -0.0 5 61.1 %
1000005 Jacob (#58) -8.5 6 -1.5 144 66.7 %
1000004 Mary (#59) -9.7 11 -0.9 74 54.6 %
1000007 Alyssa (#60) -9.6 21 -0.5 39 76.2 %
1000005 Patrick (#61) -10.9 7 -1.6 117 57.1 %
1000006 Richard (#62) -11.3 9 -1.2 78 66.7 %
1000006 Emily (#63) -10.6 9 -1.2 94 66.7 %
1000005 Michael (#64) -8.8 17 -0.5 42 64.7 %
1000009 Juan (#65) -14.2 7 -2.0 119 71.4 %
1000007 Chelsea (#66) -14.1 11 -1.3 74 54.6 %
1000008 Hannah (#67) -12.8 6 -2.2 142 66.7 %
1000007 Rebecca (#68) -14.1 15 -0.9 47 60.0 %
1000008 Benjamin (#69) -15.5 13 -1.2 63 61.5 %
1000011 Kyle (#70) -17.3 7 -2.4 119 71.4 %
1000012 Amanda (#71) -22.3 7 -3.1 122 57.1 %
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