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
999943 Nicholas (#1) 69.8 39 1.8 22 79.5 %
999960 Kayla (#2) 50.0 50 1.0 17 78.0 %
999966 Jonathan (#3) 49.6 72 0.7 12 66.7 %
999957 Madison (#4) 53.0 43 1.2 20 79.1 %
999968 Melissa (#5) 40.8 36 1.1 23 75.0 %
999963 Kaitlyn (#6) 53.9 88 0.6 10 67.1 %
999968 John (#7) 48.1 100 0.5 9 65.0 %
999971 Jordan (#8) 36.4 56 0.6 16 78.6 %
999978 Lauren (#9) 28.8 59 0.5 15 71.2 %
999976 Katherine (#10) 36.0 64 0.6 14 64.1 %
999967 Alexander (#11) 40.5 77 0.5 12 79.2 %
999968 Anna (#12) 38.9 65 0.6 14 78.5 %
999975 Michael (#13) 32.0 24 1.3 34 75.0 %
999972 Brian (#14) 37.1 64 0.6 14 73.4 %
999974 Adam (#15) 33.5 100 0.3 9 73.0 %
999981 Benjamin (#16) 23.9 25 1.0 35 76.0 %
999975 Amber (#17) 33.0 105 0.3 9 72.4 %
999976 Justin (#18) 36.6 134 0.3 7 61.9 %
999979 Andrew (#19) 27.2 77 0.4 12 72.7 %
999979 Brianna (#20) 28.3 52 0.5 17 73.1 %
999978 Austin (#21) 25.7 31 0.8 27 80.7 %
999994 Megan (#22) 8.1 56 0.1 16 62.5 %
999983 Mark (#23) 21.2 22 1.0 37 77.3 %
999988 Michelle (#24) 15.0 20 0.8 40 75.0 %
999988 Maria (#25) 14.9 26 0.6 32 73.1 %
999989 Daniel (#26) 14.6 12 1.3 73 66.7 %
999996 Eric (#27) 5.0 7 0.7 148 57.1 %
999991 Jessica (#28) 12.6 134 0.1 7 62.7 %
999988 Mary (#29) 14.7 14 1.1 58 71.4 %
999979 Kevin (#30) 22.8 29 0.8 28 86.2 %
999982 Laura (#31) 27.4 90 0.3 10 63.3 %
999983 Allison (#32) 20.4 37 0.5 23 81.1 %
999987 Charles (#33) 14.8 25 0.6 33 80.0 %
999991 Chelsea (#34) 10.9 16 0.7 55 68.8 %
999992 Christina (#35) 9.5 35 0.3 24 74.3 %
999989 Christopher (#36) 12.9 29 0.5 29 79.3 %
999986 Dylan (#37) 15.8 19 0.8 42 79.0 %
999992 Courtney (#38) 9.3 19 0.5 42 79.0 %
999999 Danielle (#39) 0.0 7 0.0 147 57.1 %
999993 Abigail (#40) 8.6 121 0.1 8 71.1 %
999987 Alexandra (#41) 16.4 61 0.3 14 77.1 %
999993 David (#42) 7.5 22 0.4 36 77.3 %
999992 Nicole (#43) 11.3 21 0.5 39 66.7 %
999996 Alyssa (#44) 3.8 26 0.2 33 76.9 %
1000000 Kyle (#45) -1.4 11 -0.1 88 72.7 %
999991 Joshua (#46) 11.1 24 0.5 34 75.0 %
999992 Kimberly (#47) 8.5 22 0.4 37 77.3 %
999998 Hannah (#48) 1.6 9 0.2 99 55.6 %
999996 Morgan (#49) 3.8 13 0.3 62 69.2 %
1000000 Nathan (#50) -0.8 8 -0.1 132 62.5 %
999988 Cody (#51) 14.2 23 0.6 35 78.3 %
1000002 Amanda (#52) -4.9 14 -0.4 71 64.3 %
999993 Olivia (#53) 9.3 14 0.6 58 64.3 %
1000000 Matthew (#54) -1.9 10 -0.2 97 60.0 %
999990 Anthony (#55) 12.4 48 0.3 17 75.0 %
999999 Brittany (#56) -0.4 32 0.0 26 71.9 %
1000001 Richard (#57) -2.8 12 -0.3 66 66.7 %
1000007 Juan (#58) -11.0 14 -0.8 69 71.4 %
999993 Cameron (#59) 7.0 32 0.2 26 81.3 %
999997 Joseph (#60) 1.6 29 0.1 28 86.2 %
1000000 Erin (#61) -0.7 13 -0.1 61 69.2 %
999997 Ashley (#62) 3.1 37 0.1 23 81.1 %
1000004 Patrick (#63) -7.5 10 -0.8 80 60.0 %
1000006 Emily (#64) -11.7 10 -1.2 88 60.0 %
1000003 Elizabeth (#65) -5.8 16 -0.4 52 68.8 %
1000007 Christian (#66) -14.4 7 -2.0 146 57.1 %
1000001 Jose (#67) -3.3 45 -0.1 19 77.8 %
999996 Alexis (#68) 3.6 44 0.1 19 84.1 %
1000001 Kelsey (#69) -3.3 33 -0.1 25 78.8 %
1000004 Haley (#70) -9.2 10 -0.9 85 60.0 %
1000006 Robert (#71) -11.8 9 -1.3 88 55.6 %
1000010 Aaron (#72) -15.7 147 -0.1 7 71.4 %
1000011 Samuel (#73) -22.3 9 -2.4 99 55.6 %
1000011 Rebecca (#74) -17.6 22 -0.8 37 68.2 %
1000015 Jesse (#75) -26.4 222 -0.1 5 62.2 %
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