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
999969 Jesse (#1) 47.7 250 0.2 5 61.6 %
999970 Danielle (#2) 34.3 14 2.4 72 85.7 %
999980 Aaron (#3) 26.2 159 0.2 6 71.7 %
999976 Christian (#4) 25.7 16 1.6 63 87.5 %
999984 Jessica (#5) 22.4 147 0.2 7 68.0 %
999983 Sarah (#6) 27.8 7 4.0 132 57.1 %
999981 Abigail (#7) 23.9 130 0.2 8 73.1 %
999981 Eric (#8) 23.5 12 2.0 82 75.0 %
999981 Kyle (#9) 22.2 20 1.1 48 80.0 %
999984 Justin (#10) 22.7 141 0.2 8 64.5 %
999981 Jasmine (#11) 23.6 8 3.0 128 75.0 %
999981 Juan (#12) 21.0 22 1.0 43 86.4 %
999984 Matthew (#13) 20.0 19 1.1 50 73.7 %
999986 Nathan (#14) 18.7 12 1.6 77 66.7 %
999984 Mary (#15) 19.3 19 1.0 50 79.0 %
999987 Emily (#16) 17.1 13 1.3 71 69.2 %
999985 Kimberly (#17) 16.5 22 0.8 43 81.8 %
999990 Rachel (#18) 15.1 8 1.9 112 62.5 %
999986 Alyssa (#19) 13.9 32 0.4 31 90.6 %
999988 Daniel (#20) 15.4 14 1.1 66 71.4 %
999989 James (#21) 15.9 8 2.0 110 62.5 %
999988 Amanda (#22) 13.4 21 0.6 48 85.7 %
999990 Jacob (#23) 13.9 9 1.6 98 66.7 %
999988 Heather (#24) 13.6 8 1.8 123 75.0 %
999988 Patrick (#25) 14.2 12 1.2 77 75.0 %
999989 Brandon (#26) 12.5 19 0.6 53 84.2 %
999991 Amber (#27) 11.2 104 0.1 10 72.1 %
999989 Courtney (#28) 11.7 16 0.8 59 81.3 %
999994 John (#29) 8.5 99 0.1 10 67.7 %
999992 Benjamin (#30) 8.1 24 0.3 41 87.5 %
999991 Robert (#31) 10.6 10 1.1 92 70.0 %
999994 Hannah (#32) 8.8 9 1.0 100 55.6 %
999994 Haley (#33) 7.5 12 0.6 79 66.7 %
999996 Chelsea (#34) 4.4 16 0.3 59 75.0 %
999996 Morgan (#35) 4.3 15 0.3 63 66.7 %
999994 Kaitlyn (#36) 7.0 88 0.1 11 69.3 %
999995 Elizabeth (#37) 5.7 14 0.4 67 71.4 %
999995 Rebecca (#38) 6.5 21 0.3 45 61.9 %
999997 Nicole (#39) 4.4 22 0.2 42 59.1 %
999998 Michael (#40) 2.3 24 0.1 40 62.5 %
999998 Dylan (#41) 2.1 16 0.1 58 68.8 %
999996 Megan (#42) 4.3 50 0.1 19 64.0 %
999998 David (#43) 0.8 23 0.0 41 65.2 %
999998 Jose (#44) 1.1 45 0.0 21 66.7 %
1000000 Kevin (#45) -1.3 23 -0.0 40 73.9 %
999998 Lauren (#46) 2.1 54 0.0 18 66.7 %
1000000 Joshua (#47) -0.9 22 -0.1 43 72.7 %
999999 Samantha (#48) -0.4 14 0.0 68 57.1 %
1000001 Jonathan (#49) -2.6 68 -0.0 14 70.6 %
1000002 Mark (#50) -3.9 20 -0.2 47 70.0 %
1000000 Kelsey (#51) -2.3 38 -0.1 25 65.8 %
1000000 Christopher (#52) -2.4 28 -0.1 34 64.3 %
1000002 Cameron (#53) -3.8 27 -0.2 35 70.4 %
1000000 Andrew (#54) -1.8 79 -0.0 13 73.4 %
1000003 Michelle (#55) -4.8 15 -0.3 63 73.3 %
1000003 Adam (#56) -4.8 96 -0.1 11 75.0 %
1000003 Brittany (#57) -5.9 35 -0.2 27 65.7 %
1000002 Nicholas (#58) -6.3 34 -0.2 28 55.9 %
1000004 Austin (#59) -7.2 24 -0.3 40 75.0 %
1000002 Brian (#60) -5.1 58 -0.1 16 67.2 %
1000002 Katherine (#61) -4.9 60 -0.1 15 63.3 %
1000001 Richard (#62) -3.8 10 -0.4 92 60.0 %
1000006 Joseph (#63) -9.9 26 -0.4 36 73.1 %
1000005 Charles (#64) -8.3 21 -0.4 45 81.0 %
1000003 Erin (#65) -7.0 11 -0.6 85 63.6 %
1000004 Maria (#66) -8.3 28 -0.3 34 57.1 %
1000003 Madison (#67) -7.0 34 -0.2 27 58.8 %
1000006 Anthony (#68) -10.5 43 -0.3 22 65.1 %
1000006 Christina (#69) -11.4 34 -0.3 28 61.8 %
1000007 Alexandra (#70) -12.2 52 -0.2 19 65.4 %
1000007 Brianna (#71) -12.3 41 -0.3 23 63.4 %
1000006 Kayla (#72) -10.9 40 -0.3 23 65.0 %
1000009 Jordan (#73) -13.7 48 -0.3 19 70.8 %
1000009 Cody (#74) -15.1 18 -0.8 52 66.7 %
1000008 Alexander (#75) -14.7 60 -0.3 16 60.0 %
1000010 Ashley (#76) -14.7 31 -0.5 30 71.0 %
1000013 Alexis (#77) -19.6 39 -0.5 24 69.2 %
1000014 Allison (#78) -20.0 28 -0.7 34 75.0 %
1000011 Anna (#79) -20.0 52 -0.4 18 61.5 %
1000008 Laura (#80) -16.2 92 -0.2 11 56.5 %
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