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
999960 Samuel (#1) 61.2 14 4.4 97 64.3 %
999964 Sarah (#2) 56.2 16 3.5 83 62.5 %
999982 Daniel (#3) 23.1 25 0.9 57 76.0 %
999982 James (#4) 23.8 17 1.4 81 70.6 %
999985 Nicholas (#5) 21.4 52 0.4 29 65.4 %
999972 Patrick (#6) 40.2 19 2.1 74 68.4 %
999962 John (#7) 54.1 164 0.3 9 68.9 %
999969 Jessica (#8) 45.0 214 0.2 8 65.9 %
999995 Melissa (#9) 7.3 53 0.1 28 62.3 %
999969 Courtney (#10) 37.3 36 1.0 38 80.6 %
999972 Abigail (#11) 37.9 200 0.2 8 70.5 %
999996 Amanda (#12) 3.5 29 0.1 50 79.3 %
999986 Chelsea (#13) 18.4 26 0.7 54 73.1 %
999990 Emily (#14) 12.7 21 0.6 68 66.7 %
999980 Haley (#15) 28.1 19 1.5 75 68.4 %
999978 Elizabeth (#16) 28.4 25 1.1 56 76.0 %
999980 Kimberly (#17) 24.1 30 0.8 48 80.0 %
999993 Lauren (#18) 8.9 89 0.1 17 66.3 %
1000005 Juan (#19) -8.1 20 -0.4 73 75.0 %
1000004 Nathan (#20) -8.8 12 -0.8 120 58.3 %
999998 Megan (#21) 1.5 85 0.0 17 61.2 %
999984 Erin (#22) 20.1 22 0.9 64 72.7 %
999996 Hannah (#23) 4.1 18 0.2 80 66.7 %
999999 Christopher (#24) -0.3 44 0.0 33 70.5 %
999996 Nicole (#25) 5.7 28 0.2 50 57.1 %
999985 Benjamin (#26) 18.0 35 0.5 41 77.1 %
999996 Madison (#27) 3.8 62 0.1 23 64.5 %
1000007 Matthew (#28) -13.8 12 -1.2 121 58.3 %
999989 Michelle (#29) 13.6 27 0.5 51 74.1 %
999987 Mary (#30) 16.6 22 0.8 65 72.7 %
1000005 Michael (#31) -10.1 34 -0.3 41 61.8 %
1000003 Christian (#32) -5.6 17 -0.4 83 70.6 %
1000005 Ryan (#33) -10.4 7 -1.4 204 57.1 %
999992 Morgan (#34) 9.5 21 0.5 69 71.4 %
999998 Jonathan (#35) 2.0 123 0.0 12 69.9 %
1000003 David (#36) -6.0 34 -0.2 41 67.7 %
999992 Austin (#37) 9.4 44 0.2 32 79.6 %
1000003 Maria (#38) -6.8 41 -0.2 35 63.4 %
999988 Charles (#39) 14.4 38 0.4 37 81.6 %
1000009 Eric (#40) -16.0 10 -1.6 138 60.0 %
999994 Joshua (#41) 5.7 33 0.2 44 78.8 %
999987 Jesse (#42) 18.9 360 0.1 5 60.6 %
999996 Richard (#43) 5.3 18 0.3 76 66.7 %
1000008 Danielle (#44) -15.2 13 -1.2 107 61.5 %
1000005 Christina (#45) -9.4 54 -0.2 27 68.5 %
1000008 Sara (#46) -13.2 6 -2.2 240 66.7 %
999995 Cody (#47) 4.5 36 0.1 39 77.8 %
1000003 Kayla (#48) -5.7 70 -0.1 21 72.9 %
1000007 Brandon (#49) -11.4 22 -0.5 65 72.7 %
999994 Robert (#50) 8.2 15 0.5 92 60.0 %
999995 Dylan (#51) 6.5 31 0.2 45 74.2 %
999990 Rebecca (#52) 13.5 31 0.4 46 67.7 %
1000000 Jordan (#53) -1.1 76 -0.0 20 71.1 %
1000000 Kevin (#54) -1.4 40 -0.0 36 75.0 %
1000016 Kyle (#55) -25.5 14 -1.9 104 64.3 %
999998 Allison (#56) 1.1 53 0.0 27 81.1 %
1000003 Brianna (#57) -5.8 72 -0.1 20 70.8 %
1000005 Katherine (#58) -7.7 100 -0.1 15 69.0 %
1000004 Olivia (#59) -7.2 21 -0.3 65 66.7 %
1000001 Jacob (#60) -4.2 14 -0.3 102 57.1 %
999996 Aaron (#61) 3.6 235 0.0 7 69.8 %
999998 Amber (#62) 2.2 166 0.0 9 68.7 %
999989 Laura (#63) 14.6 144 0.1 11 65.3 %
1000008 Mark (#64) -11.9 29 -0.4 48 72.4 %
1000008 Cameron (#65) -12.1 45 -0.3 32 77.8 %
1000014 Brittany (#66) -23.1 52 -0.4 28 67.3 %
1000013 Joseph (#67) -17.7 42 -0.4 34 76.2 %
1000011 Brian (#68) -16.3 95 -0.2 16 72.6 %
1000012 Alyssa (#69) -16.9 40 -0.4 35 75.0 %
1000003 Kaitlyn (#70) -6.6 143 -0.1 11 62.2 %
1000020 Anna (#71) -28.6 90 -0.3 16 73.3 %
1000021 Ashley (#72) -29.5 52 -0.6 27 73.1 %
1000019 Alexander (#73) -27.4 110 -0.3 14 73.6 %
1000007 Samantha (#74) -14.0 17 -0.8 80 58.8 %
1000020 Andrew (#75) -28.6 125 -0.2 12 73.6 %
1000026 Alexis (#76) -38.1 56 -0.7 26 71.4 %
1000026 Alexandra (#77) -36.3 79 -0.5 19 74.7 %
1000025 Kelsey (#78) -39.2 46 -0.9 31 67.4 %
1000007 Justin (#79) -12.5 217 -0.1 7 60.8 %
1000026 Adam (#80) -39.4 151 -0.3 10 70.2 %
1000030 Jose (#81) -44.9 52 -0.9 27 69.2 %
1000034 Anthony (#82) -51.2 62 -0.8 23 69.4 %
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