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
999959 Nicholas (#1) 59.7 60 1.0 27 66.7 %
999963 Melissa (#2) 56.4 60 0.9 27 65.0 %
999932 John (#3) 96.0 185 0.5 9 69.7 %
999938 Abigail (#4) 85.9 223 0.4 8 71.3 %
999950 Samuel (#5) 74.2 15 4.9 93 66.7 %
999963 Madison (#6) 52.7 70 0.8 23 67.1 %
999956 Sarah (#7) 66.0 17 3.9 80 64.7 %
999940 Courtney (#8) 70.8 41 1.7 35 82.9 %
999952 Jessica (#9) 70.0 240 0.3 7 66.7 %
999970 Christopher (#10) 40.0 50 0.8 31 72.0 %
999977 Michael (#11) 35.3 39 0.9 39 64.1 %
999975 Lauren (#12) 37.3 100 0.4 16 66.0 %
999972 Nicole (#13) 42.9 33 1.3 46 63.6 %
999953 Kimberly (#14) 58.0 35 1.7 42 80.0 %
999975 Megan (#15) 39.4 97 0.4 17 61.9 %
999955 Haley (#16) 61.0 22 2.8 66 72.7 %
999982 Daniel (#17) 23.1 25 0.9 57 76.0 %
999973 David (#18) 35.7 38 1.0 39 71.1 %
999982 James (#19) 23.8 17 1.4 81 70.6 %
999966 Chelsea (#20) 43.1 29 1.5 49 75.9 %
999955 Elizabeth (#21) 56.3 27 2.1 54 77.8 %
999955 Benjamin (#22) 55.4 39 1.4 37 79.5 %
999952 Charles (#23) 56.1 44 1.3 33 84.1 %
999963 Patrick (#24) 50.1 21 2.4 69 71.4 %
999959 Erin (#25) 53.1 25 2.1 58 76.0 %
999960 Austin (#26) 47.4 50 0.9 29 82.0 %
999976 Christina (#27) 33.1 60 0.6 26 70.0 %
999964 Michelle (#28) 44.6 30 1.5 49 76.7 %
999961 Cody (#29) 46.8 40 1.2 38 80.0 %
999962 Mary (#30) 49.5 25 2.0 58 76.0 %
999982 Maria (#31) 26.0 46 0.6 33 65.2 %
999960 Rebecca (#32) 56.2 36 1.6 43 69.4 %
999980 Jonathan (#33) 27.0 138 0.2 12 69.6 %
999967 Joshua (#34) 39.0 40 1.0 37 82.5 %
999971 Richard (#35) 39.2 21 1.9 68 71.4 %
999970 Kevin (#36) 36.8 46 0.8 33 78.3 %
999973 Amber (#37) 37.4 186 0.2 9 69.4 %
999980 Jordan (#38) 27.0 86 0.3 19 72.1 %
999979 Olivia (#39) 27.7 24 1.2 60 70.8 %
999996 Amanda (#40) 3.5 29 0.1 50 79.3 %
999990 Emily (#41) 12.7 21 0.6 68 66.7 %
999985 Brittany (#42) 19.9 59 0.3 26 69.5 %
999986 Kayla (#43) 18.3 78 0.2 21 73.1 %
999973 Dylan (#44) 34.2 34 1.0 43 76.5 %
999970 Aaron (#45) 41.4 261 0.2 7 70.1 %
999983 Katherine (#46) 23.2 114 0.2 14 68.4 %
999970 Allison (#47) 35.4 59 0.6 25 83.1 %
999972 Cameron (#48) 33.2 51 0.7 30 80.4 %
999979 Jesse (#49) 32.7 410 0.1 5 60.5 %
999983 Morgan (#50) 22.2 23 1.0 64 73.9 %
1000005 Juan (#51) -8.1 20 -0.4 73 75.0 %
1000004 Nathan (#52) -8.8 12 -0.8 120 58.3 %
999984 Mark (#53) 21.4 34 0.6 44 73.5 %
999996 Hannah (#54) 4.1 18 0.2 80 66.7 %
999971 Laura (#55) 42.7 164 0.3 11 64.0 %
999979 Joseph (#56) 24.7 49 0.5 31 79.6 %
1000007 Matthew (#57) -13.8 12 -1.2 121 58.3 %
999985 Ashley (#58) 17.6 60 0.3 26 76.7 %
1000003 Christian (#59) -5.6 17 -0.4 83 70.6 %
1000005 Ryan (#60) -10.4 7 -1.4 204 57.1 %
999990 Brianna (#61) 13.2 80 0.2 20 71.3 %
999990 Alexis (#62) 11.8 66 0.2 23 74.2 %
999982 Kaitlyn (#63) 27.8 160 0.2 10 61.9 %
999983 Alyssa (#64) 21.0 45 0.5 31 77.8 %
1000009 Eric (#65) -16.0 10 -1.6 138 60.0 %
999992 Robert (#66) 11.6 16 0.8 89 62.5 %
1000008 Danielle (#67) -15.2 13 -1.2 107 61.5 %
1000008 Sara (#68) -13.2 6 -2.2 240 66.7 %
1000007 Brandon (#69) -11.4 22 -0.5 65 72.7 %
999997 Kelsey (#70) 2.8 55 0.1 28 67.3 %
1000016 Kyle (#71) -25.5 14 -1.9 104 64.3 %
1000002 Alexander (#72) -3.6 120 -0.0 14 73.3 %
1000001 Jacob (#73) -4.2 14 -0.3 102 57.1 %
1000003 Anna (#74) -6.1 100 -0.1 16 74.0 %
1000000 Andrew (#75) -1.3 139 -0.0 12 72.7 %
1000001 Brian (#76) -2.8 104 -0.0 16 71.2 %
1000001 Jose (#77) -3.1 62 -0.1 25 71.0 %
1000007 Alexandra (#78) -9.9 89 -0.1 18 75.3 %
999988 Justin (#79) 17.4 241 0.1 7 61.8 %
1000003 Adam (#80) -5.7 170 -0.0 10 70.6 %
1000004 Samantha (#81) -7.5 18 -0.4 78 61.1 %
1000013 Anthony (#82) -19.9 70 -0.3 22 71.4 %
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