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
999967 Sarah (#1) 53.0 15 3.5 84 60.0 %
999972 Samuel (#2) 46.2 12 3.8 104 58.3 %
999988 James (#3) 16.8 15 1.1 84 66.7 %
999976 Jesse (#4) 38.0 360 0.1 5 60.8 %
999968 Abigail (#5) 43.0 196 0.2 8 73.0 %
999968 Jessica (#6) 47.8 209 0.2 8 65.6 %
999968 John (#7) 44.6 159 0.3 10 68.6 %
999991 Nicholas (#8) 11.9 52 0.2 27 65.4 %
999973 Courtney (#9) 32.1 36 0.9 36 80.6 %
999975 Rebecca (#10) 33.5 31 1.1 44 71.0 %
999998 Daniel (#11) 1.1 22 0.1 60 72.7 %
999996 Hannah (#12) 4.0 16 0.3 82 62.5 %
1000001 Amanda (#13) -1.9 28 -0.1 49 78.6 %
999985 Amber (#14) 20.3 165 0.1 9 71.5 %
999997 Jonathan (#15) 3.5 123 0.0 12 69.1 %
1000003 Maria (#16) -5.9 40 -0.2 33 62.5 %
999988 Elizabeth (#17) 15.3 25 0.6 53 76.0 %
1000010 Juan (#18) -15.5 20 -0.8 69 75.0 %
1000004 Lauren (#19) -8.0 89 -0.1 16 65.2 %
1000009 Melissa (#20) -16.1 52 -0.3 27 61.5 %
1000010 Nathan (#21) -19.5 11 -1.8 123 54.6 %
999990 Charles (#22) 11.3 38 0.3 34 81.6 %
999993 Patrick (#23) 10.0 16 0.6 81 62.5 %
1000010 Eric (#24) -19.0 10 -1.9 132 60.0 %
999989 Aaron (#25) 14.2 231 0.1 7 71.4 %
999995 Kimberly (#26) 5.4 25 0.2 53 76.0 %
999997 Michelle (#27) 2.9 24 0.1 53 70.8 %
1000000 Katherine (#28) -1.4 101 -0.0 15 68.3 %
999999 Mary (#29) 0.4 19 0.0 69 68.4 %
1000009 David (#30) -13.8 32 -0.4 40 68.8 %
1000002 Nicole (#31) -6.4 27 -0.2 49 51.9 %
999996 Benjamin (#32) 4.1 34 0.1 39 76.5 %
1000011 Danielle (#33) -21.3 12 -1.8 111 58.3 %
1000012 Michael (#34) -20.7 33 -0.6 39 60.6 %
1000003 Morgan (#35) -5.7 18 -0.3 73 66.7 %
999999 Robert (#36) 0.4 13 0.0 99 53.9 %
1000011 Christian (#37) -17.4 16 -1.1 84 68.8 %
1000006 Madison (#38) -10.8 61 -0.2 23 63.9 %
999999 Austin (#39) 0.0 43 0.0 30 81.4 %
999994 Kaitlyn (#40) 8.3 141 0.1 11 63.1 %
999999 Erin (#41) -0.2 19 0.0 67 68.4 %
1000000 Dylan (#42) -0.7 30 -0.0 43 73.3 %
1000008 Christopher (#43) -13.1 42 -0.3 32 71.4 %
1000004 Chelsea (#44) -7.3 23 -0.3 56 69.6 %
1000007 Emily (#45) -12.7 18 -0.7 73 61.1 %
1000015 Matthew (#46) -30.1 11 -2.7 124 54.6 %
1000006 Kevin (#47) -8.5 37 -0.2 35 78.4 %
1000001 Haley (#48) -3.0 16 -0.2 81 62.5 %
1000015 Brandon (#49) -21.8 21 -1.1 65 71.4 %
1000001 Allison (#50) -3.2 51 -0.1 26 82.4 %
1000003 Richard (#51) -7.3 16 -0.4 77 62.5 %
1000009 Jordan (#52) -13.7 76 -0.2 18 72.4 %
1000004 Cody (#53) -6.1 34 -0.2 39 76.5 %
1000012 Adam (#54) -17.5 152 -0.1 10 71.7 %
1000011 Joshua (#55) -16.1 27 -0.6 48 74.1 %
1000009 Alyssa (#56) -12.4 39 -0.3 34 79.5 %
1000014 Christina (#57) -23.1 52 -0.4 26 67.3 %
1000011 Andrew (#58) -16.8 123 -0.1 12 73.2 %
1000009 Brian (#59) -13.8 95 -0.2 15 72.6 %
1000016 Kayla (#60) -24.1 69 -0.4 20 71.0 %
1000014 Brittany (#61) -23.0 51 -0.5 26 66.7 %
1000023 Kyle (#62) -39.4 13 -3.0 106 61.5 %
1000011 Olivia (#63) -20.2 18 -1.1 69 61.1 %
1000016 Alexander (#64) -21.9 108 -0.2 13 75.0 %
999998 Justin (#65) 0.8 211 0.0 8 63.0 %
1000013 Brianna (#66) -20.4 70 -0.3 20 71.4 %
1000013 Cameron (#67) -17.9 43 -0.4 31 79.1 %
1000009 Samantha (#68) -17.6 15 -1.2 83 53.3 %
1000002 Laura (#69) -3.6 142 -0.0 11 65.5 %
1000022 Megan (#70) -39.8 83 -0.5 18 57.8 %
1000017 Mark (#71) -25.2 27 -0.9 47 70.4 %
1000023 Joseph (#72) -31.2 39 -0.8 33 76.9 %
1000021 Anna (#73) -29.4 88 -0.3 16 75.0 %
1000026 Ashley (#74) -35.9 50 -0.7 26 74.0 %
1000025 Kelsey (#75) -39.4 44 -0.9 30 65.9 %
1000027 Jose (#76) -40.7 52 -0.8 25 69.2 %
1000030 Alexis (#77) -43.4 55 -0.8 24 72.7 %
1000036 Alexandra (#78) -48.4 76 -0.6 18 76.3 %
1000036 Anthony (#79) -54.2 60 -0.9 22 68.3 %
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