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
999921 John (#1) 109.0 167 0.7 9 71.3 %
999945 Sarah (#2) 79.4 16 4.9 77 68.8 %
999933 Abigail (#3) 91.8 198 0.5 8 72.2 %
999941 Jessica (#4) 85.6 219 0.4 7 67.1 %
999941 Samuel (#5) 81.2 14 5.8 90 71.4 %
999931 Courtney (#6) 80.5 39 2.1 34 84.6 %
999943 Haley (#7) 74.0 21 3.5 61 76.2 %
999943 Kimberly (#8) 67.8 33 2.1 40 81.8 %
999952 Patrick (#9) 61.7 20 3.1 64 75.0 %
999945 Elizabeth (#10) 67.5 26 2.6 51 80.8 %
999955 Laura (#11) 68.0 149 0.5 10 64.4 %
999949 Erin (#12) 62.9 24 2.6 56 79.2 %
999949 Benjamin (#13) 62.2 37 1.7 35 81.1 %
999952 Mary (#14) 59.5 24 2.5 54 79.2 %
999945 Charles (#15) 63.1 41 1.5 33 85.4 %
999956 Rebecca (#16) 62.1 32 1.9 44 68.8 %
999962 Chelsea (#17) 47.0 27 1.7 47 77.8 %
999963 Justin (#18) 55.7 219 0.3 7 63.5 %
999958 Joshua (#19) 48.9 38 1.3 35 84.2 %
999973 Jesse (#20) 43.4 368 0.1 5 60.1 %
999974 Nicholas (#21) 39.3 52 0.8 28 65.4 %
999975 Nicole (#22) 37.9 28 1.4 49 64.3 %
999961 Aaron (#23) 54.3 234 0.2 7 70.1 %
999961 Austin (#24) 46.0 45 1.0 30 82.2 %
999969 Madison (#25) 44.8 62 0.7 23 66.1 %
999961 Cody (#26) 47.1 36 1.3 38 80.6 %
999966 Michelle (#27) 43.1 27 1.6 49 77.8 %
999968 Richard (#28) 42.2 19 2.2 68 73.7 %
999975 Lauren (#29) 35.6 87 0.4 17 66.7 %
999968 Dylan (#30) 40.2 31 1.3 43 77.4 %
999967 Cameron (#31) 39.9 46 0.9 30 80.4 %
999970 Kaitlyn (#32) 45.9 146 0.3 10 63.0 %
999980 Robert (#33) 28.6 15 1.9 85 66.7 %
999974 Morgan (#34) 32.2 22 1.5 60 77.3 %
999986 James (#35) 19.1 16 1.2 78 68.8 %
999969 Amber (#36) 42.7 166 0.3 9 69.9 %
999967 Allison (#37) 37.8 53 0.7 25 84.9 %
999979 Mark (#38) 26.8 31 0.9 43 74.2 %
999981 Megan (#39) 28.6 85 0.3 17 62.4 %
999972 Alyssa (#40) 34.1 43 0.8 30 79.1 %
999982 Melissa (#41) 28.4 52 0.5 28 61.5 %
999988 Emily (#42) 16.3 19 0.8 67 68.4 %
999973 Kevin (#43) 33.0 41 0.8 33 78.1 %
999981 Christopher (#44) 25.0 44 0.6 32 70.5 %
999988 Michael (#45) 17.0 34 0.5 41 61.8 %
999982 David (#46) 23.9 33 0.7 41 69.7 %
999978 Joseph (#47) 26.4 44 0.6 31 79.6 %
999984 Christina (#48) 22.0 53 0.4 27 69.8 %
999980 Olivia (#49) 26.2 22 1.2 59 72.7 %
999982 Katherine (#50) 25.0 100 0.3 15 69.0 %
999985 Ashley (#51) 18.0 53 0.3 26 77.4 %
999992 Daniel (#52) 10.2 23 0.4 55 73.9 %
999985 Jonathan (#53) 20.2 122 0.2 12 68.9 %
999982 Jordan (#54) 24.4 77 0.3 19 71.4 %
999996 Hannah (#55) 4.8 16 0.3 80 68.8 %
999990 Alexis (#56) 12.5 58 0.2 24 74.1 %
999993 Jacob (#57) 8.6 13 0.7 98 61.5 %
999987 Brianna (#58) 16.8 71 0.2 20 71.8 %
999989 Kayla (#59) 13.6 70 0.2 21 72.9 %
999992 Maria (#60) 11.0 40 0.3 35 62.5 %
999990 Brittany (#61) 12.8 53 0.3 27 69.8 %
999989 Samantha (#62) 15.5 16 0.9 79 68.8 %
1000002 Amanda (#63) -3.9 27 -0.2 48 77.8 %
999996 Kelsey (#64) 4.6 49 0.1 28 65.3 %
1000005 Brandon (#65) -8.1 21 -0.4 62 76.2 %
999997 Brian (#66) 3.1 91 0.0 16 70.3 %
1000006 Christian (#67) -10.2 16 -0.6 79 68.8 %
999995 Adam (#68) 5.2 150 0.0 10 70.7 %
1000000 Alexander (#69) -0.6 105 -0.0 14 72.4 %
999996 Andrew (#70) 3.8 123 0.0 12 71.5 %
1000000 Jose (#71) -2.3 54 -0.0 26 70.4 %
1000000 Anna (#72) -1.5 87 -0.0 17 73.6 %
1000004 Alexandra (#73) -7.3 78 -0.1 18 74.4 %
1000012 Nathan (#74) -23.5 11 -2.2 118 54.6 %
1000010 Danielle (#75) -19.2 12 -1.6 105 58.3 %
1000015 Juan (#76) -22.4 18 -1.2 73 72.2 %
1000013 Matthew (#77) -26.0 11 -2.4 119 54.6 %
1000006 Anthony (#78) -10.5 62 -0.2 22 72.6 %
1000013 Eric (#79) -25.9 9 -2.9 138 55.6 %
1000017 Kyle (#80) -28.8 13 -2.2 101 61.5 %
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