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


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Sort Factor Algorithm % Result # Trades % Result/Trade Days/Trade Hit % Detailed View
999988 Aaron (#1) 14.9 158 0.1 7 70.9 %
999988 Abigail (#2) 15.0 127 0.1 8 71.7 %
999991 Jesse (#3) 12.9 242 0.1 5 58.7 %
999995 Christian (#4) 5.4 15 0.3 71 80.0 %
999995 Amanda (#5) 5.5 21 0.2 52 81.0 %
999997 Ryan (#6) 2.6 6 0.5 163 66.7 %
999996 Danielle (#7) 4.1 12 0.3 89 75.0 %
999992 Jessica (#8) 9.9 143 0.1 7 65.7 %
999997 Brandon (#9) 2.1 17 0.1 64 76.5 %
999998 Kyle (#10) 1.4 14 0.1 73 71.4 %
999999 Juan (#11) 0.2 19 0.0 54 79.0 %
999999 Matthew (#12) -0.1 15 0.0 68 66.7 %
999999 Nathan (#13) -0.4 10 0.0 103 70.0 %
999998 Rebecca (#14) 0.9 20 0.1 49 55.0 %
999996 John (#15) 5.2 104 0.1 10 65.4 %
999995 Jonathan (#16) 6.0 68 0.1 15 70.6 %
999995 Justin (#17) 7.3 141 0.1 8 63.8 %
999996 Amber (#18) 4.2 102 0.0 10 68.6 %
1000001 Eric (#19) -2.9 10 -0.3 104 70.0 %
999996 Brian (#20) 5.2 60 0.1 16 68.3 %
999995 Katherine (#21) 6.3 56 0.1 18 66.1 %
1000000 Sarah (#22) -1.1 7 -0.1 139 57.1 %
1000001 Hannah (#23) -3.9 9 -0.4 108 55.6 %
999999 Alexandra (#24) -0.2 58 0.0 17 70.7 %
1000000 David (#25) -1.8 21 -0.1 46 57.1 %
1000003 Alyssa (#26) -5.0 25 -0.2 41 80.0 %
999998 Kaitlyn (#27) 2.0 88 0.0 12 65.9 %
1000001 Nicole (#28) -4.3 22 -0.2 44 59.1 %
1000003 Jacob (#29) -7.1 9 -0.8 106 55.6 %
1000002 Brianna (#30) -3.8 42 -0.1 23 66.7 %
1000001 Megan (#31) -3.0 49 -0.1 21 61.2 %
1000005 Patrick (#32) -8.6 11 -0.8 86 63.6 %
1000000 Andrew (#33) -2.1 77 -0.0 13 74.0 %
1000005 Dylan (#34) -8.1 17 -0.5 57 70.6 %
1000003 Kelsey (#35) -6.3 39 -0.2 24 61.5 %
1000003 Michael (#36) -6.7 24 -0.3 40 58.3 %
1000000 Lauren (#37) -1.0 53 -0.0 19 67.9 %
1000005 Cody (#38) -9.0 19 -0.5 50 63.2 %
1000006 Morgan (#39) -10.4 13 -0.8 73 69.2 %
1000005 Mark (#40) -9.1 20 -0.5 48 65.0 %
1000003 Alexander (#41) -6.0 64 -0.1 15 65.6 %
1000003 Adam (#42) -6.0 93 -0.1 11 73.1 %
1000004 Anthony (#43) -8.2 49 -0.2 20 67.4 %
1000004 Jose (#44) -7.8 42 -0.2 22 66.7 %
1000005 Michelle (#45) -11.1 16 -0.7 61 56.3 %
1000007 Kimberly (#46) -9.6 17 -0.6 57 76.5 %
1000007 Benjamin (#47) -11.0 19 -0.6 52 73.7 %
1000006 Emily (#48) -11.5 10 -1.1 97 60.0 %
1000001 Laura (#49) -4.0 87 -0.1 12 55.2 %
1000006 Mary (#50) -10.2 16 -0.6 60 75.0 %
1000005 Anna (#51) -8.9 54 -0.2 18 66.7 %
1000006 Kevin (#52) -11.2 22 -0.5 44 63.6 %
1000007 Haley (#53) -13.9 10 -1.4 99 60.0 %
1000004 Kayla (#54) -7.3 41 -0.2 23 65.9 %
1000007 Robert (#55) -15.0 9 -1.7 104 55.6 %
1000004 Madison (#56) -7.7 36 -0.2 27 58.3 %
1000006 Christopher (#57) -11.7 29 -0.4 33 55.2 %
1000008 Courtney (#58) -14.5 15 -0.9 65 66.7 %
1000009 Daniel (#59) -14.7 12 -1.3 82 66.7 %
1000011 Austin (#60) -15.4 26 -0.6 38 76.9 %
1000009 Cameron (#61) -14.6 28 -0.5 35 67.9 %
1000007 Jordan (#62) -11.0 46 -0.2 21 69.6 %
1000009 Joseph (#63) -15.3 26 -0.6 37 65.4 %
1000008 Joshua (#64) -15.1 19 -0.8 50 63.2 %
1000010 Chelsea (#65) -16.4 12 -1.3 82 66.7 %
1000009 Nicholas (#66) -17.6 32 -0.6 31 53.1 %
1000009 Maria (#67) -17.5 27 -0.7 35 55.6 %
1000013 Charles (#68) -18.9 19 -1.0 52 73.7 %
1000010 Richard (#69) -21.0 11 -1.9 89 54.6 %
1000011 Christina (#70) -21.1 34 -0.6 28 58.8 %
1000014 Elizabeth (#71) -24.0 11 -2.2 88 63.6 %
1000012 Brittany (#72) -21.6 35 -0.6 27 60.0 %
1000015 Alexis (#73) -23.9 42 -0.6 24 66.7 %
1000013 Erin (#74) -24.9 11 -2.3 88 54.6 %
1000011 Melissa (#75) -23.5 31 -0.7 31 51.6 %
1000018 Allison (#76) -26.9 29 -0.9 34 69.0 %
1000017 Ashley (#77) -27.0 32 -0.8 31 65.6 %
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