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
999962 Danielle (#1) 39.8 12 3.3 60 91.7 %
999979 Jesse (#2) 33.1 194 0.2 5 61.9 %
999968 Christian (#3) 33.4 14 2.4 52 92.9 %
999970 Jasmine (#4) 33.6 7 4.9 103 85.7 %
999977 Sarah (#5) 33.0 6 5.5 112 66.7 %
999975 Eric (#6) 29.8 10 3.0 69 80.0 %
999981 Samuel (#7) 30.5 7 4.4 98 57.1 %
999978 Daniel (#8) 27.6 12 2.3 57 75.0 %
999977 Amanda (#9) 24.5 19 1.3 38 89.5 %
999976 Juan (#10) 26.3 18 1.4 38 88.9 %
999978 Kyle (#11) 25.6 16 1.6 43 81.3 %
999978 Mary (#12) 26.1 16 1.6 43 81.3 %
999980 Brandon (#13) 21.6 17 1.3 43 88.2 %
999983 Emily (#14) 22.8 10 2.3 67 70.0 %
999982 James (#15) 23.8 7 3.4 91 71.4 %
999979 Heather (#16) 22.5 7 3.3 99 85.7 %
999980 Kimberly (#17) 23.0 18 1.3 38 83.3 %
999983 Jacob (#18) 22.3 7 3.1 92 71.4 %
999981 Matthew (#19) 22.4 15 1.5 46 80.0 %
999982 Patrick (#20) 21.7 9 2.4 75 77.8 %
999980 Courtney (#21) 22.1 13 1.7 53 84.6 %
999985 Nathan (#22) 20.8 9 2.3 74 66.7 %
999986 Jessica (#23) 19.5 114 0.2 7 67.5 %
999989 Hannah (#24) 18.5 7 2.6 92 57.1 %
999984 Robert (#25) 19.7 8 2.5 84 75.0 %
999982 Alyssa (#26) 17.9 24 0.8 29 91.7 %
999985 Abigail (#27) 18.8 96 0.2 8 75.0 %
999986 Chelsea (#28) 16.1 14 1.1 50 78.6 %
999988 Rachel (#29) 17.1 6 2.8 109 66.7 %
999987 Aaron (#30) 15.7 120 0.1 7 73.3 %
999989 Justin (#31) 14.8 109 0.1 8 66.1 %
999987 Benjamin (#32) 12.7 18 0.7 39 88.9 %
999990 Haley (#33) 13.5 9 1.4 77 66.7 %
999990 Joshua (#34) 12.3 19 0.6 36 79.0 %
999990 Elizabeth (#35) 13.4 11 1.2 61 72.7 %
999990 Rebecca (#36) 13.0 18 0.7 42 66.7 %
999990 Richard (#37) 13.3 9 1.4 74 66.7 %
999992 Samantha (#38) 11.2 12 0.9 58 66.7 %
999992 Morgan (#39) 10.1 12 0.8 57 66.7 %
999991 Kaitlyn (#40) 11.4 71 0.2 11 73.2 %
999995 John (#41) 4.9 77 0.1 10 71.4 %
999995 Amber (#42) 4.8 80 0.1 10 73.8 %
999995 Dylan (#43) 5.4 12 0.4 56 75.0 %
999997 Kevin (#44) 2.8 18 0.2 38 77.8 %
999998 Michael (#45) 2.4 17 0.1 43 58.8 %
999997 Charles (#46) 2.4 16 0.1 42 81.3 %
999998 David (#47) 1.5 19 0.1 39 68.4 %
999997 Cameron (#48) 2.1 22 0.1 31 77.3 %
999997 Andrew (#49) 2.9 63 0.1 12 74.6 %
999996 Lauren (#50) 4.3 44 0.1 16 65.9 %
999999 Jonathan (#51) 0.4 56 0.0 13 71.4 %
999999 Mark (#52) -0.3 16 0.0 43 75.0 %
999998 Nicole (#53) 1.4 16 0.1 46 56.3 %
999999 Austin (#54) -0.4 16 0.0 43 75.0 %
999998 Laura (#55) 2.5 73 0.0 10 61.6 %
999999 Erin (#56) 0.2 8 0.0 84 62.5 %
1000001 Adam (#57) -1.9 76 -0.0 10 76.3 %
1000001 Christopher (#58) -2.9 22 -0.1 33 63.6 %
999999 Megan (#59) 0.3 39 0.0 19 61.5 %
1000000 Maria (#60) -2.1 22 -0.1 32 63.6 %
1000001 Jose (#61) -2.7 34 -0.1 21 64.7 %
1000002 Michelle (#62) -4.2 11 -0.4 61 81.8 %
1000000 Katherine (#63) -1.7 50 -0.0 14 64.0 %
1000003 Joseph (#64) -5.4 20 -0.3 34 80.0 %
1000002 Kelsey (#65) -5.1 28 -0.2 26 64.3 %
1000003 Brittany (#66) -6.3 27 -0.2 26 66.7 %
1000004 Christina (#67) -7.0 28 -0.3 26 64.3 %
1000004 Melissa (#68) -8.7 23 -0.4 31 52.2 %
1000005 Brian (#69) -8.4 46 -0.2 15 69.6 %
1000005 Ashley (#70) -9.0 23 -0.4 30 69.6 %
1000005 Anthony (#71) -9.3 34 -0.3 21 64.7 %
1000006 Cody (#72) -9.8 14 -0.7 48 71.4 %
1000005 Kayla (#73) -8.9 33 -0.3 21 66.7 %
1000004 Madison (#74) -8.6 27 -0.3 26 59.3 %
1000006 Brianna (#75) -11.1 34 -0.3 21 64.7 %
1000007 Allison (#76) -11.0 19 -0.6 36 73.7 %
1000007 Alexander (#77) -11.8 49 -0.2 15 63.3 %
1000008 Alexis (#78) -14.2 28 -0.5 24 64.3 %
1000010 Jordan (#79) -15.9 39 -0.4 18 71.8 %
1000009 Alexandra (#80) -15.7 38 -0.4 19 63.2 %
1000012 Anna (#81) -21.0 41 -0.5 18 63.4 %
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