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
999986 Melissa (#1) 20.0 27 0.7 28 63.0 %
999986 Nicholas (#2) 21.1 26 0.8 29 61.5 %
999983 Christopher (#3) 22.1 22 1.0 29 72.7 %
999989 Maria (#4) 15.5 21 0.7 33 66.7 %
999984 David (#5) 19.3 17 1.1 35 76.5 %
999990 Daniel (#6) 11.4 11 1.0 65 81.8 %
999993 Megan (#7) 9.7 45 0.2 17 57.8 %
999972 Cody (#8) 31.1 17 1.8 28 88.2 %
999982 Abigail (#9) 23.8 102 0.2 8 72.6 %
999994 Madison (#10) 7.6 31 0.3 23 64.5 %
999994 Michael (#11) 6.7 18 0.4 41 66.7 %
999977 Austin (#12) 25.1 18 1.4 25 88.9 %
999979 Kevin (#13) 22.6 18 1.3 26 88.9 %
1000000 Juan (#14) -0.6 10 -0.1 73 80.0 %
999989 Nicole (#15) 17.4 15 1.1 41 60.0 %
999980 Rebecca (#16) 26.8 14 1.9 45 71.4 %
999982 Michelle (#17) 22.4 13 1.7 55 76.9 %
999999 Jonathan (#18) -0.4 63 0.0 12 69.8 %
999998 Christina (#19) 1.9 26 0.1 27 65.4 %
999996 Brittany (#20) 4.2 25 0.2 28 64.0 %
999986 Jesse (#21) 21.4 181 0.1 5 60.2 %
999989 Richard (#22) 14.8 9 1.7 78 66.7 %
1000000 James (#23) -1.8 6 -0.3 117 66.7 %
999986 Aaron (#24) 18.4 113 0.2 7 69.9 %
999981 Allison (#25) 20.9 24 0.9 19 87.5 %
999992 Olivia (#26) 10.3 10 1.0 70 70.0 %
999988 Kimberly (#27) 14.4 11 1.3 40 81.8 %
1000006 Kayla (#28) -9.9 34 -0.3 21 70.6 %
999988 Jessica (#29) 16.8 102 0.2 8 64.7 %
999990 Joseph (#30) 10.9 18 0.6 26 83.3 %
999985 Courtney (#31) 17.1 15 1.1 45 80.0 %
999991 Cameron (#32) 8.5 22 0.4 28 86.4 %
1000002 Hannah (#33) -4.0 8 -0.5 92 62.5 %
999998 Amber (#34) 1.5 81 0.0 9 69.1 %
1000006 Jordan (#35) -9.8 37 -0.3 19 67.6 %
999995 Ashley (#36) 4.8 27 0.2 23 77.8 %
999992 Elizabeth (#37) 10.3 12 0.8 58 75.0 %
999994 Joshua (#38) 5.6 12 0.5 37 75.0 %
1000012 Amanda (#39) -18.0 7 -2.6 102 71.4 %
999996 Erin (#40) 5.3 9 0.6 77 66.7 %
999996 John (#41) 5.1 78 0.1 10 62.8 %
1000000 Alexis (#42) -2.4 30 -0.1 23 73.3 %
999998 Benjamin (#43) 2.3 15 0.1 47 73.3 %
1000011 Kyle (#44) -18.5 6 -3.0 121 66.7 %
1000002 Kelsey (#45) -4.8 22 -0.2 31 68.2 %
999997 Charles (#46) 2.6 16 0.2 43 81.3 %
1000005 Emily (#47) -9.9 9 -1.1 80 55.6 %
1000013 Lauren (#48) -25.4 43 -0.6 17 55.8 %
1000006 Brianna (#49) -11.1 31 -0.4 22 64.5 %
999997 Dylan (#50) 2.8 14 0.2 50 78.6 %
1000004 Chelsea (#51) -7.7 9 -0.9 79 66.7 %
1000013 Katherine (#52) -22.0 51 -0.4 14 64.7 %
1000004 Jose (#53) -7.4 25 -0.3 27 68.0 %
1000000 Mary (#54) -1.5 9 -0.2 78 66.7 %
1000008 Alexander (#55) -12.3 55 -0.2 13 72.7 %
1000001 Mark (#56) -1.9 14 -0.1 51 78.6 %
1000008 Andrew (#57) -12.5 62 -0.2 12 72.6 %
1000010 Brian (#58) -14.9 47 -0.3 15 72.3 %
1000003 Patrick (#59) -7.1 7 -1.0 101 57.1 %
1000013 Adam (#60) -19.7 77 -0.3 10 70.1 %
1000002 Haley (#61) -5.9 7 -0.9 101 57.1 %
1000006 Morgan (#62) -12.7 7 -1.9 102 57.1 %
1000015 Anna (#63) -22.0 42 -0.5 17 71.4 %
1000013 Alexandra (#64) -19.1 36 -0.5 19 72.2 %
1000012 Alyssa (#65) -17.3 16 -1.1 42 75.0 %
1000014 Anthony (#66) -23.8 30 -0.8 23 63.3 %
1000011 Laura (#67) -18.4 67 -0.3 11 65.7 %
1000016 Kaitlyn (#68) -28.7 69 -0.4 11 58.0 %
1000011 Justin (#69) -19.5 103 -0.2 8 60.2 %
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