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
999946 Sarah (#1) 62.9 6 10.5 79 83.3 %
999961 John (#2) 51.8 64 0.8 9 73.4 %
999969 Samuel (#3) 45.3 6 7.5 79 66.7 %
999967 Haley (#4) 41.4 9 4.6 54 77.8 %
999972 Kimberly (#5) 34.5 14 2.5 36 78.6 %
999974 Patrick (#6) 32.8 8 4.1 60 75.0 %
999972 Joshua (#7) 30.7 17 1.8 30 88.2 %
999980 Nicole (#8) 24.8 12 2.1 43 75.0 %
999980 Nicholas (#9) 26.8 20 1.4 27 70.0 %
999979 Laura (#10) 35.4 57 0.6 10 57.9 %
999976 Mary (#11) 29.4 9 3.2 55 77.8 %
999975 Abigail (#12) 33.9 71 0.5 8 71.8 %
999978 Lauren (#13) 29.2 33 0.9 17 72.7 %
999978 Madison (#14) 28.2 21 1.3 25 76.2 %
999979 Megan (#15) 30.1 33 0.9 16 66.7 %
999978 Melissa (#16) 28.3 19 1.5 28 73.7 %
999981 Erin (#17) 22.2 10 2.2 48 80.0 %
999982 Elizabeth (#18) 21.8 9 2.4 55 77.8 %
999987 Michael (#19) 19.7 13 1.5 41 61.5 %
999981 Richard (#20) 24.4 8 3.0 61 75.0 %
999988 Chelsea (#21) 15.7 9 1.8 54 66.7 %
999983 Charles (#22) 20.0 14 1.4 36 78.6 %
999986 Courtney (#23) 17.7 12 1.5 41 75.0 %
999982 Rebecca (#24) 25.9 14 1.9 37 64.3 %
999989 Austin (#25) 13.4 15 0.9 34 73.3 %
999991 Cody (#26) 11.2 11 1.0 46 72.7 %
999993 Mark (#27) 8.6 12 0.8 42 66.7 %
999994 Robert (#28) 6.6 6 1.2 76 66.7 %
999988 Benjamin (#29) 14.8 10 1.5 49 70.0 %
999990 Morgan (#30) 11.7 8 1.5 61 75.0 %
999991 Jessica (#31) 12.2 81 0.2 7 69.1 %
999989 Olivia (#32) 13.5 9 1.4 54 77.8 %
999991 Joseph (#33) 10.9 15 0.7 34 73.3 %
999990 Michelle (#34) 11.7 9 1.3 54 77.8 %
999986 Justin (#35) 19.5 82 0.2 7 63.4 %
999988 Kaitlyn (#36) 17.7 51 0.4 11 60.8 %
999997 Emily (#37) 2.5 6 0.5 81 66.7 %
999995 Jacob (#38) 6.1 6 1.0 81 66.7 %
999989 Amber (#39) 13.9 62 0.2 9 69.4 %
999990 Katherine (#40) 14.3 37 0.4 15 64.9 %
999995 David (#41) 5.9 11 0.6 46 63.6 %
999996 Jonathan (#42) 5.2 43 0.1 13 67.4 %
999997 Christina (#43) 3.5 16 0.2 32 68.8 %
999995 Allison (#44) 5.4 16 0.3 31 75.0 %
999999 Ashley (#45) -0.2 16 0.0 32 75.0 %
999998 Cameron (#46) 2.5 13 0.2 39 69.2 %
999995 Kayla (#47) 4.5 22 0.2 24 72.7 %
1000000 Alexis (#48) -2.2 18 -0.1 29 72.2 %
1000000 Christopher (#49) -0.7 13 -0.1 40 61.5 %
999998 Dylan (#50) 0.7 9 0.1 54 66.7 %
1000004 Amanda (#51) -7.9 9 -0.9 57 66.7 %
999997 Kevin (#52) 3.5 14 0.2 37 64.3 %
1000006 Brandon (#53) -9.6 6 -1.7 86 66.7 %
1000006 Juan (#54) -9.8 7 -1.4 78 71.4 %
999996 Jordan (#55) 4.3 25 0.2 22 72.0 %
1000001 Maria (#56) -3.6 13 -0.3 40 61.5 %
1000000 Alyssa (#57) -2.5 12 -0.2 42 58.3 %
1000001 Kelsey (#58) -3.9 18 -0.2 29 61.1 %
1000001 Aaron (#59) -3.4 85 -0.0 7 69.4 %
1000007 Jesse (#60) -13.0 142 -0.1 5 59.2 %
1000004 Alexandra (#61) -7.3 27 -0.3 19 70.4 %
1000006 Brittany (#62) -10.1 16 -0.6 32 68.8 %
1000007 Brianna (#63) -12.4 23 -0.5 23 69.6 %
1000009 Anthony (#64) -12.6 20 -0.7 25 75.0 %
1000007 Jose (#65) -12.3 19 -0.6 27 68.4 %
1000005 Samantha (#66) -9.4 6 -1.5 74 66.7 %
1000005 Adam (#67) -8.8 51 -0.2 11 70.6 %
1000009 Brian (#68) -15.6 30 -0.5 18 63.3 %
1000009 Anna (#69) -13.9 28 -0.5 19 71.4 %
1000010 Alexander (#70) -18.1 32 -0.6 17 62.5 %
1000010 Andrew (#71) -15.8 41 -0.4 13 68.3 %
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