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 "News Corp Class A (NWSA)"

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

Find The Lastest Buy Signals for NWSA Below.



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Algorithms Results since Jan/2010


  to  
Sort Factor Algorithm % Result # Trades % Result/Trade Days/Trade Hit % Detailed View
999966 Jesse (#1) 49.3 196 0.3 5 66.8 %
999976 Megan (#2) 36.6 43 0.9 18 62.8 %
999978 Alexandra (#3) 28.7 52 0.6 16 71.2 %
999982 Anthony (#4) 22.6 43 0.5 20 74.4 %
999983 Brianna (#5) 23.4 41 0.6 20 68.3 %
999991 Brian (#6) 12.1 53 0.2 15 69.8 %
999991 Austin (#7) 11.7 25 0.5 36 68.0 %
999986 Joshua (#8) 15.2 18 0.8 47 83.3 %
999989 Alexander (#9) 13.8 63 0.2 13 69.8 %
999990 Katherine (#10) 15.0 51 0.3 15 56.9 %
999990 Charles (#11) 12.1 21 0.6 42 71.4 %
999986 Kimberly (#12) 15.8 15 1.1 55 80.0 %
999994 Jordan (#13) 6.6 43 0.2 20 72.1 %
999991 Madison (#14) 11.4 34 0.3 25 70.6 %
999994 Brittany (#15) 6.6 29 0.2 29 65.5 %
999991 Kaitlyn (#16) 13.6 71 0.2 11 59.2 %
999995 Alexis (#17) 5.5 39 0.1 22 74.4 %
999992 Anna (#18) 9.8 51 0.2 17 68.6 %
999994 Ashley (#19) 7.1 32 0.2 27 68.8 %
999996 Cameron (#20) 4.7 25 0.2 36 68.0 %
999995 Lauren (#21) 5.6 42 0.1 19 59.5 %
999990 Richard (#22) 13.0 12 1.1 74 66.7 %
999998 Kayla (#23) 1.4 38 0.0 22 65.8 %
999997 Jonathan (#24) 3.0 57 0.1 14 63.2 %
999999 Benjamin (#25) -0.3 19 0.0 44 68.4 %
1000001 Abigail (#26) -2.8 97 -0.0 8 70.1 %
999996 Laura (#27) 5.2 74 0.1 11 54.1 %
1000001 Andrew (#28) -3.0 66 -0.1 12 66.7 %
999999 Christina (#29) 0.1 30 0.0 28 66.7 %
999994 Mark (#30) 7.2 17 0.4 51 76.5 %
999995 Melissa (#31) 6.5 29 0.2 29 58.6 %
999995 Mary (#32) 4.8 11 0.5 75 72.7 %
999999 Jacob (#33) 0.3 7 0.0 122 57.1 %
1000000 Aaron (#34) -2.3 120 -0.0 7 66.7 %
1000005 Adam (#35) -9.4 75 -0.1 11 68.0 %
1000000 Rebecca (#36) -2.4 18 -0.1 47 66.7 %
1000001 Allison (#37) -3.3 27 -0.1 33 66.7 %
1000006 Jose (#38) -10.1 31 -0.3 28 71.0 %
1000000 Maria (#39) -1.6 21 -0.1 40 66.7 %
1000003 Cody (#40) -4.9 21 -0.2 42 71.4 %
1000001 Nicole (#41) -3.2 18 -0.2 47 61.1 %
1000001 Samantha (#42) -4.4 9 -0.4 97 55.6 %
1000004 Alyssa (#43) -7.2 22 -0.3 39 72.7 %
1000000 Erin (#44) -2.2 12 -0.2 71 66.7 %
1000000 Haley (#45) -1.5 9 -0.2 93 66.7 %
1000003 Matthew (#46) -6.4 9 -0.7 109 66.7 %
1000002 John (#47) -5.2 73 -0.1 11 60.3 %
1000004 Joseph (#48) -7.0 23 -0.3 39 73.9 %
999998 Kyle (#49) 0.7 12 0.1 83 75.0 %
1000004 Brandon (#50) -5.9 13 -0.5 75 76.9 %
999998 Morgan (#51) 1.4 9 0.1 92 66.7 %
1000001 Danielle (#52) -2.8 10 -0.3 95 70.0 %
1000002 Nathan (#53) -3.7 8 -0.5 123 62.5 %
1000006 Jessica (#54) -11.2 106 -0.1 8 60.4 %
1000004 Nicholas (#55) -9.2 29 -0.3 29 55.2 %
1000005 Dylan (#56) -10.7 14 -0.8 63 57.1 %
1000005 Juan (#57) -8.5 13 -0.6 77 76.9 %
1000005 Amanda (#58) -7.6 14 -0.6 70 78.6 %
1000008 Chelsea (#59) -12.6 15 -0.9 56 66.7 %
1000007 Daniel (#60) -11.3 10 -1.1 84 70.0 %
1000005 Hannah (#61) -10.1 7 -1.4 120 57.1 %
1000006 Kevin (#62) -9.4 19 -0.5 46 73.7 %
1000005 David (#63) -9.4 20 -0.5 43 70.0 %
1000005 Michelle (#64) -9.5 14 -0.7 62 57.1 %
1000006 Olivia (#65) -10.5 13 -0.9 67 61.5 %
1000007 Courtney (#66) -12.1 15 -0.8 56 66.7 %
1000007 Elizabeth (#67) -11.6 11 -1.1 75 63.6 %
1000003 Emily (#68) -6.3 10 -0.6 84 70.0 %
1000005 Christian (#69) -8.9 10 -0.9 97 70.0 %
1000010 Kelsey (#70) -16.8 27 -0.6 32 63.0 %
1000011 Christopher (#71) -18.9 22 -0.9 39 63.6 %
1000009 Michael (#72) -14.0 19 -0.7 44 73.7 %
1000010 Justin (#73) -21.0 107 -0.2 8 52.3 %
1000016 Amber (#74) -26.2 69 -0.4 12 63.8 %
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