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
999952 Jacob (#1) 57.6 11 5.3 72 81.8 %
999956 Patrick (#2) 50.9 12 4.3 66 83.3 %
999965 Sarah (#3) 54.3 8 6.8 101 62.5 %
999962 Christian (#4) 42.2 16 2.6 61 87.5 %
999965 Danielle (#5) 41.1 12 3.4 82 83.3 %
999964 Juan (#6) 40.3 23 1.7 41 87.0 %
999967 Mary (#7) 44.1 19 2.3 43 73.7 %
999972 Samuel (#8) 48.6 9 5.4 89 55.6 %
999968 Kyle (#9) 38.8 20 2.0 47 80.0 %
999967 Jasmine (#10) 36.9 8 4.6 129 87.5 %
999971 Daniel (#11) 38.8 14 2.8 61 71.4 %
999972 Hannah (#12) 38.2 10 3.8 84 70.0 %
999974 Emily (#13) 35.9 13 2.8 65 69.2 %
999969 James (#14) 37.6 9 4.2 95 77.8 %
999968 Benjamin (#15) 34.8 24 1.5 36 87.5 %
999971 Courtney (#16) 35.5 16 2.2 50 81.3 %
999970 Robert (#17) 36.5 9 4.1 88 77.8 %
999974 Heather (#18) 29.3 8 3.6 123 87.5 %
999973 Kimberly (#19) 32.4 21 1.5 39 81.0 %
999976 Amanda (#20) 28.6 20 1.5 49 80.0 %
999977 Haley (#21) 32.8 12 2.8 69 66.7 %
999980 Eric (#22) 26.7 10 2.7 97 70.0 %
999976 Elizabeth (#23) 31.3 16 1.9 50 75.0 %
999977 Chelsea (#24) 28.3 18 1.6 48 77.8 %
999979 Matthew (#25) 26.1 17 1.5 56 76.5 %
999980 Brandon (#26) 25.4 17 1.5 57 76.5 %
999976 Alyssa (#27) 26.3 30 0.9 29 90.0 %
999984 Nathan (#28) 23.4 11 2.1 85 63.6 %
999980 Samantha (#29) 28.2 13 2.2 59 69.2 %
999979 Joshua (#30) 25.5 23 1.1 36 78.3 %
999982 Rebecca (#31) 27.5 19 1.4 39 63.2 %
999979 Dylan (#32) 27.3 16 1.7 48 75.0 %
999984 Erin (#33) 23.2 12 1.9 65 66.7 %
999988 Morgan (#34) 19.0 15 1.3 55 60.0 %
999988 Jason (#35) 17.0 6 2.8 149 66.7 %
999991 Rachel (#36) 13.9 7 2.0 132 57.1 %
999986 Richard (#37) 18.0 10 1.8 75 70.0 %
999985 Kevin (#38) 18.3 24 0.8 32 79.2 %
999992 Charles (#39) 9.4 18 0.5 44 77.8 %
999993 Mark (#40) 8.2 17 0.5 45 70.6 %
999993 David (#41) 8.4 21 0.4 36 71.4 %
999995 Michael (#42) 7.1 18 0.4 40 61.1 %
999994 Nicholas (#43) 8.0 27 0.3 28 59.3 %
999994 Michelle (#44) 5.6 12 0.5 63 75.0 %
999996 Austin (#45) 4.0 23 0.2 35 78.3 %
999996 Nicole (#46) 5.3 17 0.3 42 64.7 %
999997 Jessica (#47) 2.7 121 0.0 7 69.4 %
999997 Allison (#48) 3.0 28 0.1 29 82.1 %
999998 Joseph (#49) 1.2 26 0.0 30 76.9 %
1000002 Jesse (#50) -4.9 197 -0.0 5 60.9 %
999998 Maria (#51) 1.5 22 0.1 33 63.6 %
1000000 Justin (#52) -0.5 112 -0.0 8 64.3 %
1000000 Aaron (#53) -0.6 125 -0.0 7 74.4 %
999999 Cody (#54) 0.1 17 0.0 45 70.6 %
999995 Adam (#55) 5.5 83 0.1 10 79.5 %
999998 Amber (#56) 1.3 85 0.0 9 76.5 %
1000002 Kelsey (#57) -3.5 30 -0.1 24 73.3 %
1000000 Abigail (#58) -1.3 99 -0.0 8 76.8 %
1000002 Cameron (#59) -4.1 22 -0.2 35 77.3 %
1000002 Jose (#60) -4.2 36 -0.1 21 72.2 %
1000005 Christopher (#61) -8.2 23 -0.4 32 69.6 %
1000003 Alexis (#62) -5.7 36 -0.2 22 72.2 %
1000003 Andrew (#63) -5.3 66 -0.1 12 75.8 %
1000004 Alexander (#64) -6.7 56 -0.1 13 71.4 %
1000006 Ashley (#65) -10.5 28 -0.4 27 75.0 %
1000007 Anthony (#66) -12.3 37 -0.3 20 70.3 %
1000010 Brittany (#67) -15.6 27 -0.6 27 70.4 %
1000011 John (#68) -16.7 79 -0.2 10 69.6 %
1000012 Melissa (#69) -21.5 26 -0.8 28 61.5 %
1000011 Christina (#70) -19.3 28 -0.7 26 64.3 %
1000012 Megan (#71) -20.0 39 -0.5 19 64.1 %
1000014 Brianna (#72) -20.8 36 -0.6 20 69.4 %
1000015 Anna (#73) -22.5 45 -0.5 16 71.1 %
1000015 Jordan (#74) -22.3 41 -0.5 18 70.7 %
1000017 Kaitlyn (#75) -24.7 71 -0.4 11 70.4 %
1000017 Alexandra (#76) -26.0 41 -0.6 18 68.3 %
1000019 Jonathan (#77) -29.4 59 -0.5 12 69.5 %
1000022 Brian (#78) -31.7 48 -0.7 15 72.9 %
1000021 Lauren (#79) -33.9 43 -0.8 17 65.1 %
1000019 Katherine (#80) -31.5 49 -0.6 15 63.3 %
1000022 Kayla (#81) -36.2 33 -1.1 22 63.6 %
1000026 Laura (#82) -42.5 72 -0.6 11 62.5 %
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