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 "Netflix Inc (NFLX)"

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    Please select the "Detailed View" button to see how it performs!

Find The Lastest Buy Signals for NFLX Below.



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Algorithms Results since Jan/2010


  to  
Sort Factor Algorithm % Result # Trades % Result/Trade Days/Trade Hit % Detailed View
999950 Jesse (#1) 77.6 130 0.6 5 62.3 %
999969 Aaron (#2) 43.0 91 0.5 7 70.3 %
999969 Andrew (#3) 41.6 47 0.9 12 72.3 %
999969 Justin (#4) 43.2 85 0.5 7 69.4 %
999966 Nicole (#5) 39.1 13 3.0 37 84.6 %
999975 Kaitlyn (#6) 36.2 53 0.7 11 67.9 %
999981 Adam (#7) 24.0 52 0.5 11 75.0 %
999979 John (#8) 28.1 59 0.5 10 71.2 %
999977 Alexander (#9) 29.4 40 0.7 14 77.5 %
999976 Katherine (#10) 32.7 37 0.9 15 70.3 %
999980 Jonathan (#11) 27.3 44 0.6 13 70.5 %
999980 Benjamin (#12) 19.5 18 1.1 27 94.4 %
999992 Abigail (#13) 9.8 65 0.2 9 69.2 %
999981 Jessica (#14) 26.6 87 0.3 7 65.5 %
999978 Michael (#15) 24.4 14 1.7 37 85.7 %
999984 Alyssa (#16) 15.6 18 0.9 27 94.4 %
999986 Anna (#17) 16.7 36 0.5 15 77.8 %
999992 Danielle (#18) 8.2 6 1.3 68 83.3 %
999987 Melissa (#19) 17.1 20 0.9 26 70.0 %
999983 Jordan (#20) 19.5 31 0.7 18 80.7 %
999982 Michelle (#21) 19.4 9 2.1 51 88.9 %
999991 Rebecca (#22) 11.7 11 1.1 43 63.6 %
999995 Mary (#23) 4.1 11 0.4 39 90.9 %
999984 Brianna (#24) 19.8 26 0.8 21 76.9 %
999984 Christina (#25) 17.8 22 0.8 25 81.8 %
999986 Lauren (#26) 18.8 30 0.6 18 70.0 %
1000001 Matthew (#27) -3.4 7 -0.4 54 71.4 %
999985 Alexandra (#28) 17.6 33 0.6 17 78.8 %
999979 Kelsey (#29) 23.5 22 1.1 24 81.8 %
999996 Megan (#30) 5.4 30 0.2 18 70.0 %
999990 Brian (#31) 12.8 33 0.4 17 72.7 %
999994 Dylan (#32) 4.6 11 0.5 42 90.9 %
999999 Amber (#33) 0.1 52 0.0 11 71.2 %
999982 Austin (#34) 17.6 17 1.1 28 94.1 %
1000002 David (#35) -2.6 15 -0.2 33 86.7 %
1000002 Christian (#36) -3.6 7 -0.6 58 85.7 %
1000004 Joshua (#37) -4.9 17 -0.3 26 94.1 %
1000001 Brandon (#38) -2.4 10 -0.2 40 90.0 %
1000005 Kimberly (#39) -5.6 13 -0.5 34 92.3 %
999984 Allison (#40) 16.8 22 0.8 22 86.4 %
1000012 Nathan (#41) -16.4 6 -2.7 63 83.3 %
999997 Jose (#42) 2.9 24 0.1 21 79.2 %
1000003 Laura (#43) -5.6 53 -0.1 11 62.3 %
999998 Madison (#44) 1.2 21 0.1 25 71.4 %
999993 Kayla (#45) 7.7 25 0.3 22 72.0 %
999993 Maria (#46) 7.6 15 0.5 34 80.0 %
999998 Robert (#47) 0.8 6 0.2 70 83.3 %
999994 Anthony (#48) 5.7 29 0.2 19 79.3 %
999989 Cameron (#49) 11.1 14 0.8 36 92.9 %
1000006 Amanda (#50) -7.7 11 -0.7 37 90.9 %
999999 Brittany (#51) 0.1 24 0.0 22 75.0 %
1000000 Patrick (#52) -1.4 6 -0.2 69 83.3 %
999999 Cody (#53) 0.1 11 0.0 44 90.9 %
1000007 Courtney (#54) -8.8 12 -0.8 37 91.7 %
1000003 Chelsea (#55) -4.4 11 -0.4 41 90.9 %
999999 Daniel (#56) 0.4 9 0.0 51 88.9 %
1000006 Christopher (#57) -7.7 16 -0.5 33 81.3 %
1000010 Morgan (#58) -13.3 7 -1.9 61 85.7 %
1000003 Charles (#59) -4.1 12 -0.3 38 91.7 %
1000004 Mark (#60) -6.0 11 -0.6 42 90.9 %
1000020 Kyle (#61) -24.1 7 -3.4 55 85.7 %
999989 Alexis (#62) 12.4 21 0.6 24 81.0 %
1000005 Nicholas (#63) -10.0 22 -0.5 24 59.1 %
1000015 Emily (#64) -19.1 6 -3.2 75 83.3 %
1000018 Juan (#65) -25.3 9 -2.8 44 77.8 %
1000010 Erin (#66) -12.0 8 -1.5 55 87.5 %
1000002 Joseph (#67) -4.0 15 -0.3 32 86.7 %
1000006 Kevin (#68) -7.9 13 -0.6 36 84.6 %
1000016 Jacob (#69) -20.8 6 -3.5 62 83.3 %
999999 Ashley (#70) -0.4 18 0.0 28 77.8 %
1000020 Elizabeth (#71) -24.9 7 -3.6 59 85.7 %
1000022 Richard (#72) -28.4 6 -4.7 75 83.3 %
1000016 Olivia (#73) -20.5 7 -2.9 63 85.7 %
1000012 Samantha (#74) -20.2 6 -3.3 76 66.7 %
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