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 "Netapp Inc (NTAP)"

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

Find The Lastest Buy Signals for NTAP Below.



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Algorithms Results since Jan/2010


  to  
Sort Factor Algorithm % Result # Trades % Result/Trade Days/Trade Hit % Detailed View
999984 Kimberly (#1) 17.8 11 1.6 32 81.8 %
999981 Justin (#2) 27.7 50 0.6 8 64.0 %
999986 Joshua (#3) 17.8 12 1.5 30 75.0 %
999981 Kaitlyn (#4) 25.7 35 0.7 11 68.6 %
999991 Mary (#5) 11.0 7 1.6 50 71.4 %
999986 Amber (#6) 17.2 42 0.4 9 78.6 %
999989 John (#7) 14.6 38 0.4 10 65.8 %
999986 Adam (#8) 16.3 37 0.4 10 78.4 %
999985 Anthony (#9) 15.9 22 0.7 16 86.4 %
999997 Morgan (#10) 2.8 6 0.5 57 66.7 %
999987 Alexander (#11) 15.3 29 0.5 12 82.8 %
999994 Benjamin (#12) 7.3 9 0.8 45 77.8 %
999992 Allison (#13) 8.4 16 0.5 24 87.5 %
999992 Austin (#14) 8.2 12 0.7 32 83.3 %
999997 Jesse (#15) 3.4 91 0.0 5 64.8 %
999989 Brianna (#16) 12.1 21 0.6 17 81.0 %
999995 Nicholas (#17) 5.2 14 0.4 23 78.6 %
999990 Brian (#18) 12.4 25 0.5 14 72.0 %
999997 Elizabeth (#19) 2.9 8 0.4 48 75.0 %
999995 Andrew (#20) 6.1 28 0.2 13 71.4 %
999992 Laura (#21) 11.9 34 0.4 11 61.8 %
999998 Courtney (#22) 0.6 8 0.1 46 75.0 %
999993 Jonathan (#23) 9.0 27 0.3 13 63.0 %
999992 Kayla (#24) 10.1 20 0.5 17 75.0 %
999997 Charles (#25) 3.0 10 0.3 38 80.0 %
999996 Jordan (#26) 4.4 23 0.2 15 78.3 %
1000001 Alyssa (#27) -3.5 10 -0.3 44 80.0 %
1000006 Amanda (#28) -8.6 8 -1.1 59 75.0 %
999994 Alexandra (#29) 6.0 25 0.2 14 84.0 %
999999 Erin (#30) -0.2 6 0.0 54 66.7 %
1000000 Abigail (#31) -0.9 47 -0.0 8 76.6 %
999994 Alexis (#32) 6.3 20 0.3 18 90.0 %
999992 Anna (#33) 8.0 24 0.3 15 83.3 %
999991 Madison (#34) 10.4 17 0.6 20 82.4 %
1000002 Lauren (#35) -4.1 24 -0.2 14 75.0 %
999997 Cody (#36) 3.2 10 0.3 34 80.0 %
999996 Cameron (#37) 4.0 12 0.3 29 83.3 %
1000000 Dylan (#38) -2.3 8 -0.3 41 75.0 %
1000002 Mark (#39) -3.8 10 -0.4 32 70.0 %
1000000 Katherine (#40) -0.5 25 -0.0 14 60.0 %
999999 Kevin (#41) 0.2 12 0.0 27 83.3 %
1000002 Ashley (#42) -3.6 14 -0.3 25 85.7 %
1000004 Nicole (#43) -8.0 8 -1.0 39 62.5 %
1000003 Maria (#44) -6.4 9 -0.7 35 66.7 %
1000007 Christina (#45) -10.0 14 -0.7 24 78.6 %
1000005 Michael (#46) -9.2 9 -1.0 36 66.7 %
1000006 Jessica (#47) -12.2 51 -0.2 8 58.8 %
1000012 Juan (#48) -19.8 6 -3.3 80 66.7 %
1000003 Kelsey (#49) -5.2 13 -0.4 25 76.9 %
1000010 Rebecca (#50) -16.5 8 -2.1 39 62.5 %
1000010 Michelle (#51) -15.0 7 -2.1 44 71.4 %
1000010 Aaron (#52) -15.4 57 -0.3 7 71.9 %
1000008 Joseph (#53) -10.6 13 -0.9 25 84.6 %
1000009 Brittany (#54) -13.4 13 -1.0 26 76.9 %
1000010 Jose (#55) -14.9 17 -0.9 19 76.5 %
1000011 David (#56) -15.6 8 -2.0 41 75.0 %
1000010 Christopher (#57) -13.6 10 -1.4 34 80.0 %
1000017 Melissa (#58) -24.4 12 -2.0 27 75.0 %
1000019 Megan (#59) -31.5 21 -1.5 16 61.9 %
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