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
999963 Jessica (#1) 53.2 113 0.5 7 67.3 %
999966 John (#2) 47.3 85 0.6 9 70.6 %
999966 Abigail (#3) 46.2 107 0.4 8 72.0 %
999974 Aaron (#4) 34.7 126 0.3 7 71.4 %
999980 Jesse (#5) 32.1 181 0.2 5 60.8 %
999966 Courtney (#6) 37.6 21 1.8 34 85.7 %
999971 Benjamin (#7) 34.3 23 1.5 32 82.6 %
999979 Kaitlyn (#8) 30.0 80 0.4 10 66.3 %
999982 Laura (#9) 25.3 78 0.3 11 68.0 %
999978 Alyssa (#10) 24.9 27 0.9 27 85.2 %
999985 Amber (#11) 19.8 86 0.2 9 69.8 %
999987 Andrew (#12) 16.5 69 0.2 11 73.9 %
999986 Brianna (#13) 17.6 39 0.5 19 71.8 %
999981 Charles (#14) 21.0 21 1.0 35 85.7 %
999984 Elizabeth (#15) 19.9 13 1.5 56 76.9 %
999982 Erin (#16) 21.7 12 1.8 61 75.0 %
999989 Samuel (#17) 14.6 6 2.5 116 66.7 %
999986 Chelsea (#18) 15.6 15 1.1 48 80.0 %
999986 Dylan (#19) 17.3 17 1.0 42 76.5 %
999992 Justin (#20) 11.3 111 0.1 7 63.1 %
999990 Christopher (#21) 11.8 25 0.5 30 72.0 %
999991 Haley (#22) 11.4 10 1.1 72 70.0 %
999992 Brian (#23) 10.3 50 0.2 15 74.0 %
999984 Kimberly (#24) 18.2 16 1.1 46 81.3 %
999988 Cameron (#25) 14.5 25 0.6 29 80.0 %
999993 Jordan (#26) 9.2 42 0.2 18 71.4 %
999989 Mary (#27) 13.1 12 1.1 61 75.0 %
999988 Cody (#28) 13.8 19 0.7 39 79.0 %
999992 Patrick (#29) 10.3 10 1.0 72 70.0 %
999993 Alexander (#30) 8.4 59 0.1 13 76.3 %
999991 Brittany (#31) 10.5 29 0.4 26 69.0 %
999992 Jonathan (#32) 9.6 66 0.2 12 71.2 %
999993 Christina (#33) 7.5 29 0.3 26 69.0 %
999994 Katherine (#34) 6.7 54 0.1 14 72.2 %
999990 Allison (#35) 11.3 29 0.4 26 86.2 %
999988 Kevin (#36) 13.3 23 0.6 32 82.6 %
999996 Adam (#37) 4.1 81 0.1 10 69.1 %
999991 Austin (#38) 9.8 24 0.4 31 83.3 %
999996 Morgan (#39) 4.3 12 0.3 62 75.0 %
999993 Rebecca (#40) 8.5 14 0.6 53 71.4 %
999997 Kayla (#41) 3.0 40 0.1 19 72.5 %
999998 Maria (#42) 2.0 21 0.1 35 57.1 %
999994 Joshua (#43) 6.8 18 0.4 41 77.8 %
999993 Michelle (#44) 7.8 15 0.5 47 73.3 %
999999 Anna (#45) -0.1 48 0.0 16 72.9 %
999997 Amanda (#46) 2.0 17 0.1 45 82.4 %
999997 Nicole (#47) 3.1 12 0.3 60 58.3 %
999999 Brandon (#48) -0.2 14 0.0 55 78.6 %
999997 Madison (#49) 3.1 33 0.1 23 60.6 %
1000001 Daniel (#50) -3.2 13 -0.2 57 76.9 %
1000003 James (#51) -6.8 8 -0.9 88 62.5 %
1000000 Christian (#52) -0.5 11 -0.1 68 72.7 %
999998 David (#53) 2.4 16 0.1 44 68.8 %
999998 Samantha (#54) 1.5 8 0.1 87 62.5 %
1000002 Emily (#55) -5.4 10 -0.5 73 60.0 %
999999 Ashley (#56) -0.4 30 0.0 25 73.3 %
1000000 Melissa (#57) -2.0 28 -0.1 28 53.6 %
1000001 Robert (#58) -2.7 7 -0.4 103 57.1 %
1000000 Alexis (#59) -1.3 32 -0.0 23 71.9 %
999997 Joseph (#60) 2.7 25 0.1 30 80.0 %
1000003 Jose (#61) -6.5 28 -0.2 27 64.3 %
1000003 Lauren (#62) -7.3 45 -0.2 17 62.2 %
1000003 Olivia (#63) -5.6 11 -0.6 62 63.6 %
1000007 Hannah (#64) -13.2 8 -1.6 91 62.5 %
1000007 Alexandra (#65) -10.0 41 -0.2 19 75.6 %
1000003 Kelsey (#66) -6.4 25 -0.2 30 64.0 %
1000006 Eric (#67) -11.2 6 -1.8 123 66.7 %
1000004 Megan (#68) -9.3 43 -0.2 18 60.5 %
1000003 Nicholas (#69) -6.8 26 -0.3 30 61.5 %
1000003 Mark (#70) -4.7 16 -0.3 45 75.0 %
1000004 Richard (#71) -7.6 9 -0.9 77 66.7 %
1000005 Anthony (#72) -9.0 33 -0.3 23 69.7 %
1000006 Danielle (#73) -12.0 7 -1.7 106 57.1 %
1000007 Michael (#74) -14.8 15 -1.0 47 53.3 %
1000010 Juan (#75) -15.0 10 -1.5 73 70.0 %
1000012 Kyle (#76) -23.5 7 -3.3 105 57.1 %
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