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
999985 Jesse (#1) 24.3 148 0.2 5 59.5 %
999985 Katherine (#2) 18.8 35 0.5 17 71.4 %
999985 Lauren (#3) 19.1 35 0.5 17 74.3 %
999988 Brian (#4) 16.3 37 0.4 16 70.3 %
999990 Aaron (#5) 13.3 94 0.1 7 68.1 %
999988 Abigail (#6) 14.7 79 0.2 8 70.9 %
999990 Megan (#7) 14.2 34 0.4 18 64.7 %
999989 Jonathan (#8) 13.3 41 0.3 15 73.2 %
999991 Jessica (#9) 11.8 85 0.1 7 65.9 %
999992 Justin (#10) 10.7 85 0.1 8 63.5 %
999991 Kayla (#11) 11.2 25 0.4 23 72.0 %
999992 Madison (#12) 11.5 23 0.5 25 65.2 %
999995 John (#13) 7.4 61 0.1 10 63.9 %
999993 Brianna (#14) 9.5 26 0.4 23 69.2 %
999994 Amber (#15) 6.9 60 0.1 10 68.3 %
999994 Jose (#16) 7.3 28 0.3 21 71.4 %
999996 Michael (#17) 4.6 16 0.3 37 68.8 %
999994 Jordan (#18) 6.9 29 0.2 20 72.4 %
999996 Anna (#19) 5.1 34 0.2 17 64.7 %
999996 Kelsey (#20) 4.5 25 0.2 23 64.0 %
999995 Alexandra (#21) 5.6 34 0.2 18 67.7 %
999996 David (#22) 4.3 14 0.3 42 64.3 %
999997 Nicole (#23) 3.8 14 0.3 44 57.1 %
999995 Kaitlyn (#24) 7.1 50 0.1 12 64.0 %
999997 Christopher (#25) 3.7 18 0.2 33 61.1 %
999999 Matthew (#26) 0.1 9 0.0 57 66.7 %
999995 Laura (#27) 6.5 53 0.1 11 56.6 %
999999 Amanda (#28) 0.0 14 0.0 45 85.7 %
1000001 Juan (#29) -1.9 13 -0.2 40 84.6 %
999998 Andrew (#30) 1.9 46 0.0 14 73.9 %
1000000 Patrick (#31) -1.8 8 -0.3 66 75.0 %
1000001 Christian (#32) -2.7 10 -0.3 63 80.0 %
1000001 Robert (#33) -3.4 6 -0.5 86 66.7 %
1000000 Cody (#34) -2.2 12 -0.2 47 66.7 %
1000001 Dylan (#35) -3.1 10 -0.3 56 70.0 %
1000001 Brandon (#36) -3.4 11 -0.3 57 81.8 %
1000000 Brittany (#37) -0.8 21 -0.1 27 61.9 %
1000001 Mark (#38) -2.8 12 -0.3 46 75.0 %
1000001 Joseph (#39) -3.0 15 -0.2 37 73.3 %
1000000 Maria (#40) -2.2 18 -0.1 32 55.6 %
1000002 Michelle (#41) -3.5 11 -0.4 51 63.6 %
1000002 Nathan (#42) -4.4 6 -0.7 83 66.7 %
1000001 Kevin (#43) -2.7 13 -0.2 42 76.9 %
1000003 Morgan (#44) -4.7 9 -0.6 59 77.8 %
1000001 Alexander (#45) -3.2 37 -0.1 16 62.2 %
1000003 Kyle (#46) -5.1 8 -0.6 63 75.0 %
1000002 Danielle (#47) -4.5 7 -0.6 80 71.4 %
1000002 Kimberly (#48) -4.4 12 -0.3 45 83.3 %
1000001 Christina (#49) -3.2 21 -0.1 27 61.9 %
1000003 Hannah (#50) -6.2 6 -1.0 93 66.7 %
1000001 Anthony (#51) -3.0 27 -0.1 21 63.0 %
1000003 Emily (#52) -6.5 7 -0.9 80 71.4 %
1000004 Austin (#53) -6.0 16 -0.4 35 81.3 %
1000004 Alyssa (#54) -5.7 17 -0.4 34 88.2 %
1000002 Cameron (#55) -4.5 17 -0.3 34 64.7 %
1000002 Rebecca (#56) -6.0 11 -0.6 56 54.6 %
1000005 Mary (#57) -6.6 11 -0.6 49 81.8 %
1000003 Adam (#58) -6.0 52 -0.1 12 71.2 %
1000004 Jacob (#59) -7.9 6 -1.3 90 66.7 %
1000005 Benjamin (#60) -7.4 14 -0.5 41 85.7 %
1000005 Courtney (#61) -7.6 9 -0.9 62 77.8 %
1000005 Haley (#62) -8.1 7 -1.1 80 71.4 %
1000005 Alexis (#63) -8.5 25 -0.3 23 72.0 %
1000005 Ashley (#64) -9.0 20 -0.5 29 70.0 %
1000005 Joshua (#65) -9.2 13 -0.7 42 61.5 %
1000006 Richard (#66) -10.3 7 -1.4 81 71.4 %
1000007 Charles (#67) -10.2 12 -0.8 47 83.3 %
1000005 Nicholas (#68) -10.8 20 -0.6 30 55.0 %
1000007 Elizabeth (#69) -11.2 8 -1.4 68 75.0 %
1000007 Erin (#70) -11.5 7 -1.6 79 71.4 %
1000008 Chelsea (#71) -12.1 8 -1.5 71 75.0 %
1000009 Daniel (#72) -13.3 8 -1.6 70 75.0 %
1000010 Allison (#73) -17.5 17 -1.0 33 64.7 %
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