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
999988 Abigail (#1) 15.5 47 0.3 8 72.3 %
999988 Jessica (#2) 16.2 55 0.3 7 67.3 %
999989 Justin (#3) 14.3 52 0.3 8 69.2 %
999989 Alexis (#4) 12.5 19 0.7 20 79.0 %
999992 Kaitlyn (#5) 10.3 32 0.3 12 68.8 %
999992 John (#6) 9.2 37 0.2 10 75.7 %
999993 Megan (#7) 9.5 19 0.5 20 57.9 %
999995 Adam (#8) 6.3 34 0.2 11 73.5 %
999994 Brianna (#9) 7.4 19 0.4 20 73.7 %
999995 Erin (#10) 6.8 7 1.0 61 57.1 %
999993 Michelle (#11) 8.7 9 1.0 44 66.7 %
999994 Mark (#12) 6.6 10 0.7 39 70.0 %
999995 Ashley (#13) 5.3 14 0.4 29 71.4 %
999996 Amber (#14) 4.2 34 0.1 11 70.6 %
999996 Olivia (#15) 5.1 7 0.7 59 57.1 %
999996 Richard (#16) 3.9 6 0.7 67 66.7 %
999997 Aaron (#17) 3.5 57 0.1 7 66.7 %
999997 Christina (#18) 3.2 15 0.2 28 66.7 %
999996 Melissa (#19) 4.4 15 0.3 26 73.3 %
999996 Jordan (#20) 3.9 22 0.2 17 68.2 %
999997 Jose (#21) 3.1 20 0.2 21 80.0 %
999998 Cody (#22) 2.2 9 0.2 46 66.7 %
999997 Joshua (#23) 3.1 9 0.3 51 66.7 %
999997 Kimberly (#24) 2.6 8 0.4 58 75.0 %
999997 Jesse (#25) 2.7 90 0.0 5 60.0 %
999997 Brittany (#26) 2.6 17 0.2 24 76.5 %
999996 Madison (#27) 3.8 16 0.3 25 68.8 %
999996 Jonathan (#28) 4.2 25 0.2 15 72.0 %
999997 Joseph (#29) 2.5 14 0.2 29 78.6 %
999998 Anna (#30) 1.2 22 0.1 17 68.2 %
999999 Anthony (#31) 0.5 19 0.0 20 68.4 %
999997 Kayla (#32) 3.0 19 0.2 20 63.2 %
999997 Christopher (#33) 2.7 11 0.3 36 63.6 %
999998 Kelsey (#34) 1.8 15 0.1 28 66.7 %
1000000 Austin (#35) -1.0 11 -0.1 39 63.6 %
999998 Andrew (#36) 0.6 28 0.0 14 71.4 %
999999 Alexandra (#37) 0.4 22 0.0 18 72.7 %
999999 Kevin (#38) -0.3 10 0.0 39 60.0 %
1000000 Katherine (#39) -2.1 23 -0.1 17 60.9 %
1000000 Alexander (#40) -2.2 26 -0.1 14 69.2 %
1000000 Allison (#41) -1.3 11 -0.1 39 63.6 %
1000000 Dylan (#42) -2.2 7 -0.3 58 57.1 %
1000002 Brian (#43) -3.9 24 -0.2 16 66.7 %
1000001 Laura (#44) -2.8 31 -0.1 13 58.1 %
1000001 Lauren (#45) -3.5 17 -0.2 23 58.8 %
1000004 David (#46) -6.8 9 -0.8 46 66.7 %
1000002 Michael (#47) -5.2 8 -0.6 50 62.5 %
1000003 Alyssa (#48) -7.0 8 -0.9 58 62.5 %
1000003 Maria (#49) -7.7 11 -0.7 37 54.6 %
1000003 Rebecca (#50) -7.3 7 -1.0 57 57.1 %
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