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 "Intl Business Machines Corp (IBM)"

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

Find The Lastest Buy Signals for IBM Below.



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Algorithms Results since Jan/2010


  to  
Sort Factor Algorithm % Result # Trades % Result/Trade Days/Trade Hit % Detailed View
999981 Jesse (#1) 31.5 150 0.2 5 58.0 %
999978 Jessica (#2) 30.7 91 0.3 7 68.1 %
999981 Aaron (#3) 25.5 100 0.3 6 71.0 %
999979 Abigail (#4) 26.8 80 0.3 8 72.5 %
999982 Justin (#5) 26.3 86 0.3 8 64.0 %
999983 John (#6) 22.5 62 0.4 10 69.4 %
999983 Kaitlyn (#7) 23.0 53 0.4 11 69.8 %
999985 Amber (#8) 20.1 63 0.3 10 71.4 %
999987 Jonathan (#9) 16.7 40 0.4 15 72.5 %
999988 Brian (#10) 16.4 36 0.4 16 69.4 %
999988 Katherine (#11) 17.3 34 0.5 17 67.7 %
999991 Andrew (#12) 10.7 48 0.2 13 77.1 %
999992 Adam (#13) 8.6 60 0.2 11 76.7 %
999992 Lauren (#14) 10.4 31 0.3 19 71.0 %
999995 Danielle (#15) 4.7 7 0.7 74 85.7 %
999993 Kayla (#16) 8.4 24 0.3 23 70.8 %
999994 Jordan (#17) 6.2 27 0.2 21 77.8 %
999996 Alexander (#18) 4.4 35 0.1 17 62.9 %
999996 Megan (#19) 5.0 31 0.2 19 67.7 %
999996 Brianna (#20) 4.1 23 0.2 25 69.6 %
999998 Kyle (#21) 0.7 8 0.1 64 75.0 %
999996 Alexandra (#22) 3.9 34 0.1 17 73.5 %
999999 Christian (#23) 0.3 7 0.0 74 85.7 %
999998 David (#24) 1.6 13 0.2 42 61.5 %
999999 Brandon (#25) 0.0 9 0.0 58 77.8 %
999996 Laura (#26) 5.5 54 0.1 12 51.9 %
1000000 Amanda (#27) -0.5 10 -0.1 53 80.0 %
999998 Anna (#28) 0.7 32 0.0 18 65.6 %
999997 Madison (#29) 2.8 20 0.2 28 60.0 %
999999 Jose (#30) 0.4 27 0.0 21 66.7 %
1000000 Kelsey (#31) -1.0 25 -0.0 23 64.0 %
1000002 Alyssa (#32) -2.8 14 -0.2 39 85.7 %
1000000 Kevin (#33) -2.4 12 -0.2 44 66.7 %
1000000 Nicole (#34) -1.8 13 -0.2 41 53.9 %
1000002 Matthew (#35) -3.6 8 -0.5 64 62.5 %
1000002 Benjamin (#36) -3.5 12 -0.3 45 83.3 %
1000003 Juan (#37) -5.0 8 -0.6 64 75.0 %
1000001 Christopher (#38) -2.8 17 -0.2 34 58.8 %
1000002 Kimberly (#39) -3.7 9 -0.4 56 77.8 %
1000002 Mark (#40) -4.8 11 -0.5 47 63.6 %
1000001 Anthony (#41) -3.4 26 -0.1 22 69.2 %
1000002 Michael (#42) -4.2 14 -0.3 41 64.3 %
1000002 Brittany (#43) -5.1 21 -0.2 27 66.7 %
1000004 Joseph (#44) -7.1 14 -0.5 37 64.3 %
1000004 Morgan (#45) -7.4 6 -1.2 83 66.7 %
1000004 Mary (#46) -7.0 8 -0.9 63 75.0 %
1000003 Joshua (#47) -7.1 9 -0.8 56 55.6 %
1000005 Daniel (#48) -9.3 6 -1.5 79 66.7 %
1000005 Chelsea (#49) -9.0 6 -1.5 81 66.7 %
1000004 Cameron (#50) -8.3 15 -0.5 36 66.7 %
1000007 Austin (#51) -10.3 13 -0.8 41 76.9 %
1000006 Michelle (#52) -10.8 8 -1.4 65 62.5 %
1000007 Alexis (#53) -10.1 23 -0.4 24 78.3 %
1000005 Cody (#54) -9.5 9 -1.0 58 66.7 %
1000005 Dylan (#55) -10.2 8 -1.3 65 62.5 %
1000006 Christina (#56) -10.6 18 -0.6 32 61.1 %
1000005 Nicholas (#57) -11.2 19 -0.6 30 52.6 %
1000008 Ashley (#58) -12.0 17 -0.7 32 76.5 %
1000010 Charles (#59) -14.4 10 -1.4 53 80.0 %
1000010 Courtney (#60) -14.9 7 -2.1 75 71.4 %
1000013 Allison (#61) -18.7 15 -1.3 36 73.3 %
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