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
999967 Stephanie (#1) 32.4 6 5.3 187 100.0 %
999983 Sara (#2) 22.7 7 3.3 157 71.4 %
999980 Shelby (#3) 22.4 8 2.8 135 87.5 %
999986 Ryan (#4) 17.1 8 2.1 136 75.0 %
999986 Juan (#5) 15.4 24 0.6 48 83.3 %
999985 Amanda (#6) 16.0 26 0.6 45 84.6 %
999988 Matthew (#7) 14.7 18 0.8 64 72.2 %
999986 Danielle (#8) 15.7 14 1.1 84 78.6 %
999988 Kyle (#9) 14.2 18 0.8 64 77.8 %
999989 Nathan (#10) 12.8 12 1.1 95 75.0 %
999984 Abigail (#11) 21.5 147 0.1 8 72.8 %
999986 Aaron (#12) 18.1 187 0.1 7 70.1 %
999992 Eric (#13) 10.1 12 0.8 95 75.0 %
999990 Brandon (#14) 10.8 21 0.5 56 81.0 %
999993 Rebecca (#15) 11.4 24 0.5 48 58.3 %
999990 Christian (#16) 10.6 17 0.7 69 82.4 %
999992 Sarah (#17) 9.6 9 1.1 126 66.7 %
999993 Morgan (#18) 8.0 17 0.5 67 76.5 %
999988 Jonathan (#19) 14.9 81 0.2 14 71.6 %
999988 Katherine (#20) 16.1 69 0.2 17 68.1 %
999990 Jesse (#21) 15.6 284 0.1 5 58.8 %
999995 Hannah (#22) 6.8 11 0.6 103 63.6 %
999996 Jasmine (#23) 4.9 6 0.8 192 66.7 %
999991 John (#24) 11.6 121 0.1 10 66.9 %
999993 Mary (#25) 7.1 20 0.4 58 80.0 %
999989 Kaitlyn (#26) 13.5 105 0.1 12 68.6 %
999993 Alexandra (#27) 8.3 68 0.1 17 72.1 %
999991 Brian (#28) 11.9 71 0.2 16 70.4 %
999996 Alyssa (#29) 4.5 31 0.1 38 83.9 %
999995 Kimberly (#30) 5.0 21 0.2 55 81.0 %
999992 Jessica (#31) 10.7 169 0.1 8 65.1 %
999993 Amber (#32) 8.5 119 0.1 10 69.8 %
999996 David (#33) 4.6 26 0.2 44 57.7 %
999998 Patrick (#34) 1.3 14 0.1 80 71.4 %
999998 Haley (#35) 0.6 13 0.1 90 69.2 %
999996 Brianna (#36) 5.5 51 0.1 22 68.6 %
999994 Laura (#37) 9.0 102 0.1 12 58.8 %
999998 Chelsea (#38) 0.6 17 0.1 69 76.5 %
999997 Kelsey (#39) 3.2 47 0.1 24 61.7 %
1000000 Rachel (#40) -0.5 9 -0.1 122 55.6 %
1000000 James (#41) -1.1 9 -0.1 120 55.6 %
999997 Jose (#42) 2.7 52 0.1 21 69.2 %
999994 Justin (#43) 7.6 166 0.1 8 63.9 %
1000000 Daniel (#44) -1.3 16 -0.1 73 75.0 %
999998 Anthony (#45) 1.2 59 0.0 19 69.5 %
1000000 Jacob (#46) -1.5 11 -0.1 101 63.6 %
1000000 Emily (#47) -1.8 12 -0.2 94 66.7 %
999997 Alexander (#48) 2.7 77 0.0 15 68.8 %
1000000 Benjamin (#49) -1.1 24 -0.0 49 79.2 %
1000000 Cody (#50) -1.4 24 -0.0 47 66.7 %
999995 Lauren (#51) 6.4 65 0.1 18 69.2 %
999999 Nicole (#52) -0.3 27 0.0 42 59.3 %
1000000 Michael (#53) -0.7 29 -0.0 38 58.6 %
1000002 Robert (#54) -3.6 11 -0.4 100 63.6 %
1000000 Mark (#55) -2.1 24 -0.1 48 66.7 %
999998 Megan (#56) 2.3 60 0.0 20 63.3 %
999997 Andrew (#57) 3.1 90 0.0 13 75.6 %
1000000 Joshua (#58) -2.1 23 -0.1 50 69.6 %
1000000 Christopher (#59) -2.0 36 -0.1 31 58.3 %
1000001 Maria (#60) -4.1 34 -0.1 32 58.8 %
1000003 Austin (#61) -4.8 33 -0.2 36 78.8 %
1000003 Dylan (#62) -4.6 22 -0.2 51 72.7 %
999999 Kayla (#63) -0.1 50 0.0 22 68.0 %
1000000 Anna (#64) -2.5 65 -0.0 17 69.2 %
1000000 Adam (#65) -2.2 107 -0.0 11 73.8 %
1000003 Kevin (#66) -6.0 28 -0.2 41 64.3 %
1000004 Courtney (#67) -7.0 19 -0.4 62 68.4 %
1000003 Cameron (#68) -6.4 34 -0.2 34 70.6 %
1000000 Madison (#69) -2.1 45 -0.0 25 60.0 %
1000002 Jordan (#70) -4.4 55 -0.1 20 70.9 %
1000007 Charles (#71) -10.6 25 -0.4 47 72.0 %
1000005 Nicholas (#72) -10.7 37 -0.3 31 56.8 %
1000008 Elizabeth (#73) -11.8 14 -0.9 82 71.4 %
1000007 Joseph (#74) -11.6 31 -0.4 37 67.7 %
1000011 Allison (#75) -17.4 36 -0.5 33 72.2 %
1000010 Alexis (#76) -16.2 51 -0.3 23 68.6 %
1000009 Erin (#77) -16.9 14 -1.2 83 57.1 %
1000009 Richard (#78) -16.6 14 -1.2 82 57.1 %
1000007 Brittany (#79) -14.2 43 -0.3 26 60.5 %
1000009 Christina (#80) -16.7 42 -0.4 27 59.5 %
1000014 Ashley (#81) -23.4 39 -0.6 29 66.7 %
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