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
999918 Nicholas (#1) 103.1 46 2.2 22 78.3 %
999947 Melissa (#2) 67.9 43 1.6 23 76.7 %
999946 Michael (#3) 69.1 30 2.3 33 76.7 %
999958 Michelle (#4) 51.5 25 2.0 38 80.0 %
999959 Jonathan (#5) 60.5 91 0.7 12 64.8 %
999957 John (#6) 63.5 128 0.5 9 65.6 %
999955 Kayla (#7) 55.9 60 0.9 17 78.3 %
999955 Kaitlyn (#8) 67.5 115 0.6 10 65.2 %
999958 Olivia (#9) 55.3 19 2.9 50 73.7 %
999955 Madison (#10) 59.7 50 1.2 20 74.0 %
999962 Nicole (#11) 50.0 27 1.9 36 74.1 %
999972 Lauren (#12) 38.9 71 0.6 15 70.4 %
999958 Amber (#13) 56.7 132 0.4 9 72.7 %
999965 Jordan (#14) 42.5 66 0.7 16 78.8 %
999982 Megan (#15) 28.9 69 0.4 16 58.0 %
999972 Katherine (#16) 42.4 79 0.5 14 64.6 %
999965 Anna (#17) 45.9 77 0.6 14 74.0 %
999965 Brian (#18) 47.6 77 0.6 14 70.1 %
999963 Mark (#19) 44.3 27 1.6 35 81.5 %
999966 Adam (#20) 45.6 120 0.4 9 71.7 %
999975 Jessica (#21) 37.2 170 0.2 7 64.7 %
999964 Alexander (#22) 46.1 91 0.5 12 75.8 %
999972 Maria (#23) 35.5 33 1.1 30 75.8 %
999973 Benjamin (#24) 33.1 29 1.1 33 79.3 %
999979 Richard (#25) 26.9 16 1.7 59 75.0 %
999970 Brianna (#26) 38.5 64 0.6 16 75.0 %
999963 Kevin (#27) 40.2 37 1.1 26 89.2 %
999971 Austin (#28) 34.9 37 1.0 26 81.1 %
999971 Laura (#29) 43.7 114 0.4 10 63.2 %
999977 Mary (#30) 28.6 17 1.7 55 76.5 %
999972 Justin (#31) 44.0 168 0.3 7 60.7 %
999970 Allison (#32) 35.3 46 0.8 21 82.6 %
999978 David (#33) 26.5 28 1.0 34 78.6 %
999976 Christopher (#34) 28.7 35 0.8 29 80.0 %
999980 Daniel (#35) 26.3 15 1.7 64 73.3 %
999982 Rebecca (#36) 22.5 28 0.8 35 75.0 %
999981 Christina (#37) 23.3 44 0.5 23 77.3 %
999979 Abigail (#38) 27.7 151 0.2 8 71.5 %
999976 Charles (#39) 28.3 31 0.9 30 80.7 %
999973 Dylan (#40) 30.9 24 1.3 39 83.3 %
999978 Andrew (#41) 30.4 92 0.3 12 69.6 %
999991 Eric (#42) 13.4 8 1.6 130 62.5 %
999975 Cody (#43) 31.2 28 1.1 34 78.6 %
999984 Chelsea (#44) 21.2 19 1.1 51 73.7 %
999981 Courtney (#45) 22.0 22 1.0 42 81.8 %
999980 Joshua (#46) 24.1 30 0.8 31 80.0 %
999983 Kimberly (#47) 20.1 28 0.7 34 82.1 %
999981 Alexandra (#48) 23.5 73 0.3 14 75.3 %
999989 Alyssa (#49) 12.4 30 0.4 32 80.0 %
999991 Hannah (#50) 12.2 11 1.1 90 63.6 %
999986 Morgan (#51) 16.6 16 1.1 57 75.0 %
999994 Kyle (#52) 7.2 13 0.5 81 76.9 %
999991 Brittany (#53) 10.9 41 0.3 24 75.6 %
999982 Anthony (#54) 22.4 58 0.4 17 75.9 %
999991 Robert (#55) 13.3 12 1.1 76 58.3 %
999992 Aaron (#56) 9.9 188 0.1 7 73.4 %
999997 Amanda (#57) 2.7 17 0.2 61 70.6 %
999989 Jose (#58) 12.8 56 0.2 18 76.8 %
999987 Erin (#59) 15.6 16 1.0 56 75.0 %
999995 Matthew (#60) 5.6 12 0.5 88 66.7 %
999995 Emily (#61) 5.6 13 0.5 75 69.2 %
999999 Danielle (#62) 0.0 7 0.0 147 57.1 %
999986 Joseph (#63) 14.7 38 0.4 25 86.8 %
1000000 Juan (#64) -0.7 17 -0.1 63 76.5 %
999998 Samuel (#65) 0.6 10 0.1 93 60.0 %
999987 Ashley (#66) 14.6 47 0.3 21 83.0 %
999991 Haley (#67) 11.3 14 0.8 68 71.4 %
999984 Alexis (#68) 16.9 58 0.3 17 86.2 %
999990 Jesse (#69) 14.3 284 0.1 5 62.0 %
999987 Cameron (#70) 14.7 37 0.4 27 81.1 %
999996 Patrick (#71) 4.2 13 0.3 70 69.2 %
1000000 Nathan (#72) -0.8 8 -0.1 132 62.5 %
999995 Elizabeth (#73) 6.4 19 0.3 50 73.7 %
999992 Kelsey (#74) 9.2 41 0.2 25 78.1 %
1000000 Jacob (#75) -1.4 10 -0.1 98 60.0 %
1000004 Brandon (#76) -9.0 12 -0.8 86 58.3 %
1000005 Christian (#77) -10.3 8 -1.3 129 62.5 %
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