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
999966 Samuel (#1) 51.7 11 4.7 99 63.6 %
999959 Abigail (#2) 54.8 172 0.3 8 72.1 %
999961 Jessica (#3) 57.8 182 0.3 8 65.9 %
999985 Nicholas (#4) 21.8 45 0.5 28 64.4 %
999964 Sarah (#5) 54.9 14 3.9 80 64.3 %
999987 Daniel (#6) 16.4 21 0.8 55 76.2 %
999962 John (#7) 53.2 140 0.4 10 69.3 %
999986 James (#8) 17.7 14 1.3 78 71.4 %
999982 Jonathan (#9) 23.7 109 0.2 12 71.6 %
999997 Melissa (#10) 3.7 46 0.1 27 60.9 %
999969 Courtney (#11) 36.8 32 1.2 35 81.3 %
999977 Jesse (#12) 36.4 313 0.1 5 60.4 %
999985 Katherine (#13) 20.1 89 0.2 14 70.8 %
999971 Rebecca (#14) 37.8 27 1.4 45 74.1 %
999979 Amber (#15) 28.6 142 0.2 9 70.4 %
999995 Christopher (#16) 6.4 39 0.2 30 71.8 %
1000002 Juan (#17) -4.5 17 -0.2 69 76.5 %
999998 Maria (#18) 1.7 36 0.1 33 63.9 %
999986 Michelle (#19) 17.2 23 0.7 49 73.9 %
999994 Hannah (#20) 7.4 15 0.5 76 66.7 %
999998 Amanda (#21) 1.0 24 0.0 49 79.2 %
999996 Madison (#22) 4.5 54 0.1 23 63.0 %
1000000 David (#23) -0.6 29 -0.0 39 69.0 %
999985 Benjamin (#24) 18.2 31 0.6 37 77.4 %
999990 Chelsea (#25) 11.8 22 0.6 51 72.7 %
999997 Lauren (#26) 2.6 78 0.0 16 64.1 %
999994 Jordan (#27) 7.4 68 0.1 18 72.1 %
999998 Christina (#28) 0.5 47 0.0 26 68.1 %
999988 Austin (#29) 13.9 39 0.4 29 82.1 %
999984 Elizabeth (#30) 20.4 21 1.0 54 76.2 %
999986 Patrick (#31) 20.1 15 1.3 76 66.7 %
999996 Emily (#32) 4.6 17 0.3 67 64.7 %
999984 Aaron (#33) 20.6 201 0.1 7 70.7 %
999990 Richard (#34) 12.7 15 0.9 74 66.7 %
1000006 Nathan (#35) -13.2 9 -1.4 127 55.6 %
999985 Charles (#36) 17.5 34 0.5 33 82.4 %
999990 Erin (#37) 13.0 17 0.8 67 70.6 %
999990 Haley (#38) 13.5 15 0.9 76 66.7 %
1000000 Kayla (#39) -2.4 62 -0.0 20 72.6 %
1000000 Brittany (#40) -0.6 46 -0.0 26 67.4 %
1000006 Michael (#41) -11.5 29 -0.4 40 62.1 %
999993 Kevin (#42) 7.0 34 0.2 34 79.4 %
1000003 Christian (#43) -4.8 15 -0.3 77 73.3 %
999996 Brianna (#44) 4.1 63 0.1 20 71.4 %
999986 Kaitlyn (#45) 20.0 125 0.2 11 64.0 %
1000007 Megan (#46) -12.7 74 -0.2 17 58.1 %
999990 Kimberly (#47) 12.4 23 0.5 50 78.3 %
1000008 Eric (#48) -15.4 8 -1.9 142 62.5 %
999991 Dylan (#49) 11.0 27 0.4 42 74.1 %
999998 Olivia (#50) 1.0 17 0.1 65 64.7 %
999992 Mary (#51) 9.5 18 0.6 64 72.2 %
999996 Morgan (#52) 4.4 17 0.2 68 70.6 %
999998 Alexander (#53) 1.0 98 0.0 13 75.5 %
999994 Cody (#54) 6.7 31 0.2 37 77.4 %
999999 Nicole (#55) -0.2 23 0.0 50 52.2 %
1000010 Matthew (#56) -20.0 9 -2.2 128 55.6 %
999995 Brian (#57) 5.4 84 0.1 15 73.8 %
999991 Allison (#58) 10.2 47 0.2 24 83.0 %
1000009 Danielle (#59) -15.3 11 -1.4 104 63.6 %
999996 Andrew (#60) 3.7 110 0.0 12 74.6 %
1000002 Anna (#61) -4.3 80 -0.1 16 75.0 %
1000002 Adam (#62) -4.1 134 -0.0 10 71.6 %
999996 Robert (#63) 5.7 12 0.5 94 58.3 %
1000010 Brandon (#64) -15.5 18 -0.8 65 72.2 %
1000000 Cameron (#65) -1.4 40 -0.0 29 80.0 %
999999 Alyssa (#66) 0.2 35 0.0 31 80.0 %
1000004 Joshua (#67) -6.2 25 -0.2 46 76.0 %
1000017 Kyle (#68) -28.7 11 -2.6 106 63.6 %
999991 Justin (#69) 12.3 185 0.1 8 62.7 %
999990 Laura (#70) 13.3 125 0.1 11 68.0 %
1000009 Ashley (#71) -14.1 47 -0.3 25 74.5 %
1000009 Mark (#72) -13.6 24 -0.6 48 70.8 %
1000011 Joseph (#73) -14.8 36 -0.4 32 77.8 %
1000001 Samantha (#74) -3.4 14 -0.2 80 57.1 %
1000012 Kelsey (#75) -19.9 40 -0.5 29 67.5 %
1000014 Alexis (#76) -21.3 50 -0.4 23 72.0 %
1000018 Alexandra (#77) -25.2 68 -0.4 18 76.5 %
1000014 Jose (#78) -22.0 46 -0.5 26 69.6 %
1000024 Anthony (#79) -36.7 53 -0.7 22 67.9 %
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