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
999984 Jesse (#1) 25.3 201 0.1 5 58.2 %
999986 Jessica (#2) 18.9 120 0.2 7 65.8 %
999986 Justin (#3) 20.1 115 0.2 8 63.5 %
999989 Aaron (#4) 15.1 129 0.1 7 69.8 %
999987 Danielle (#5) 14.8 11 1.4 77 81.8 %
999989 Abigail (#6) 13.7 104 0.1 8 70.2 %
999988 Christian (#7) 12.7 12 1.1 70 83.3 %
999993 Alyssa (#8) 6.7 26 0.3 32 88.5 %
999996 Kyle (#9) 4.5 14 0.3 58 71.4 %
999995 Mary (#10) 5.3 16 0.3 49 75.0 %
999997 Juan (#11) 3.3 15 0.2 54 80.0 %
999996 Amanda (#12) 3.7 17 0.2 50 82.4 %
999997 Eric (#13) 3.2 9 0.3 91 66.7 %
999997 John (#14) 2.8 81 0.0 10 64.2 %
999997 Brandon (#15) 2.7 15 0.2 56 80.0 %
999996 Michael (#16) 4.1 21 0.2 38 66.7 %
999997 Benjamin (#17) 2.0 21 0.1 40 85.7 %
999998 Matthew (#18) 1.0 14 0.1 58 64.3 %
999997 Kimberly (#19) 2.1 18 0.1 43 77.8 %
999999 Nathan (#20) 0.2 8 0.0 99 62.5 %
999999 Amber (#21) 0.5 81 0.0 10 67.9 %
999999 Emily (#22) 0.4 10 0.0 77 60.0 %
999998 Kaitlyn (#23) 2.3 70 0.0 12 67.1 %
999999 Daniel (#24) 0.1 11 0.0 70 63.6 %
1000001 Chelsea (#25) -2.8 13 -0.2 60 69.2 %
1000000 David (#26) -2.3 19 -0.1 41 63.2 %
1000000 Courtney (#27) -1.3 13 -0.1 61 76.9 %
1000001 Patrick (#28) -3.1 9 -0.3 84 66.7 %
1000000 Nicole (#29) -0.9 19 -0.1 40 57.9 %
1000001 Jonathan (#30) -2.8 55 -0.1 14 69.1 %
1000000 Jose (#31) -1.6 38 -0.1 21 68.4 %
999999 Rebecca (#32) -0.4 17 0.0 46 58.8 %
1000001 Brian (#33) -2.6 49 -0.1 16 65.3 %
1000000 Megan (#34) -2.1 42 -0.1 19 64.3 %
1000002 Kelsey (#35) -4.2 33 -0.1 24 63.6 %
1000000 Lauren (#36) -2.4 44 -0.1 18 65.9 %
1000003 Andrew (#37) -4.9 65 -0.1 13 72.3 %
1000000 Madison (#38) -2.2 29 -0.1 27 62.1 %
1000003 Robert (#39) -6.8 7 -1.0 106 57.1 %
1000002 Nicholas (#40) -6.0 29 -0.2 27 55.2 %
1000003 Christopher (#41) -6.8 23 -0.3 35 60.9 %
1000004 Morgan (#42) -9.3 12 -0.8 64 58.3 %
1000004 Elizabeth (#43) -7.9 11 -0.7 70 63.6 %
1000005 Dylan (#44) -9.1 13 -0.7 59 61.5 %
1000005 Haley (#45) -9.6 9 -1.1 87 55.6 %
1000003 Katherine (#46) -6.0 48 -0.1 16 62.5 %
1000005 Joshua (#47) -8.9 18 -0.5 43 66.7 %
1000006 Kevin (#48) -10.0 18 -0.6 42 66.7 %
1000006 Cameron (#49) -9.9 22 -0.5 35 68.2 %
1000008 Adam (#50) -11.6 78 -0.2 11 71.8 %
1000007 Mark (#51) -13.2 16 -0.8 48 62.5 %
1000007 Jordan (#52) -10.6 40 -0.3 19 72.5 %
1000005 Kayla (#53) -9.3 34 -0.3 22 64.7 %
1000008 Austin (#54) -12.4 20 -0.6 39 75.0 %
1000008 Michelle (#55) -12.8 12 -1.1 64 66.7 %
1000006 Brittany (#56) -11.2 29 -0.4 27 65.5 %
1000005 Maria (#57) -11.3 24 -0.5 33 54.2 %
1000006 Alexander (#58) -12.5 50 -0.2 16 58.0 %
1000009 Charles (#59) -12.7 18 -0.7 44 77.8 %
1000009 Joseph (#60) -14.6 20 -0.8 38 65.0 %
1000008 Alexandra (#61) -13.2 45 -0.3 18 66.7 %
1000008 Brianna (#62) -14.0 34 -0.4 23 64.7 %
1000011 Cody (#63) -18.4 14 -1.3 55 64.3 %
1000010 Anthony (#64) -17.2 36 -0.5 22 63.9 %
1000010 Christina (#65) -18.3 27 -0.7 29 59.3 %
1000010 Anna (#66) -19.2 43 -0.4 19 60.5 %
1000008 Laura (#67) -17.9 73 -0.3 11 52.1 %
1000015 Ashley (#68) -21.6 24 -0.9 32 70.8 %
1000017 Allison (#69) -23.6 23 -1.0 34 73.9 %
1000017 Alexis (#70) -27.3 31 -0.9 25 67.7 %
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