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
999980 Ryan (#1) 21.9 7 3.1 123 85.7 %
999984 Shelby (#2) 18.0 7 2.6 123 85.7 %
999988 Sara (#3) 17.3 6 2.8 144 66.7 %
999988 Matthew (#4) 15.9 14 1.1 64 71.4 %
999986 Juan (#5) 15.0 20 0.8 46 85.0 %
999990 Rebecca (#6) 15.4 17 0.9 48 58.8 %
999988 Nathan (#7) 14.1 10 1.4 90 80.0 %
999991 Kyle (#8) 10.1 14 0.7 64 78.6 %
999992 Morgan (#9) 9.5 14 0.6 64 78.6 %
999992 Eric (#10) 8.7 9 1.0 102 77.8 %
999993 Mary (#11) 7.3 15 0.5 60 80.0 %
999995 Amanda (#12) 5.5 18 0.3 52 83.3 %
999993 Alexandra (#13) 7.9 48 0.2 17 70.8 %
999995 Danielle (#14) 5.5 9 0.7 104 66.7 %
999995 Kelsey (#15) 6.9 32 0.2 24 62.5 %
999995 Jose (#16) 6.2 36 0.2 21 72.2 %
999996 Haley (#17) 4.3 11 0.4 84 72.7 %
999997 Rachel (#18) 3.4 8 0.4 109 62.5 %
999996 Alyssa (#19) 3.2 25 0.1 37 84.0 %
999997 Cody (#20) 2.8 19 0.2 45 63.2 %
999998 Hannah (#21) 1.9 9 0.2 102 66.7 %
999997 Anthony (#22) 3.3 42 0.1 19 69.1 %
999996 Nicole (#23) 4.4 20 0.2 39 65.0 %
999997 Christian (#24) 2.5 12 0.3 78 75.0 %
999998 Dylan (#25) 2.3 18 0.1 48 72.2 %
999996 Nicholas (#26) 4.5 26 0.2 30 65.4 %
999998 Maria (#27) 2.1 24 0.1 32 58.3 %
999997 Brandon (#28) 1.7 14 0.1 67 78.6 %
999997 Kimberly (#29) 2.2 16 0.1 57 81.3 %
999998 David (#30) 2.3 17 0.1 47 52.9 %
999997 Michael (#31) 3.4 22 0.1 35 59.1 %
999997 Sarah (#32) 2.5 7 0.4 128 71.4 %
999998 Patrick (#33) 1.5 12 0.1 73 75.0 %
999998 Christopher (#34) 1.4 25 0.0 31 60.0 %
999999 Emily (#35) -0.1 10 0.0 92 70.0 %
999997 Aaron (#36) 3.1 126 0.0 7 68.3 %
1000000 Austin (#37) -1.4 28 -0.0 32 78.6 %
1000001 Chelsea (#38) -2.1 13 -0.2 72 76.9 %
1000000 Elizabeth (#39) -0.7 12 -0.1 75 75.0 %
1000000 Mark (#40) -0.9 17 -0.1 52 64.7 %
999999 Brianna (#41) 0.2 35 0.0 22 65.7 %
1000000 James (#42) -1.9 7 -0.3 125 57.1 %
999999 Abigail (#43) -0.3 101 0.0 8 71.3 %
1000001 Benjamin (#44) -2.1 18 -0.1 52 77.8 %
1000001 Courtney (#45) -2.6 15 -0.2 61 66.7 %
1000001 Robert (#46) -3.4 9 -0.3 95 66.7 %
999998 Megan (#47) 1.3 40 0.0 21 62.5 %
1000002 Daniel (#48) -4.1 12 -0.3 78 75.0 %
1000002 Cameron (#49) -3.9 24 -0.2 36 66.7 %
1000000 Brian (#50) -1.1 47 -0.0 17 68.1 %
1000002 Jacob (#51) -4.9 9 -0.6 100 66.7 %
1000001 Erin (#52) -3.7 12 -0.3 76 58.3 %
1000000 Anna (#53) -2.1 44 -0.1 18 68.2 %
1000000 Jesse (#54) -1.3 190 -0.0 5 60.0 %
1000002 Katherine (#55) -4.3 45 -0.1 18 66.7 %
1000001 Madison (#56) -3.2 32 -0.1 24 59.4 %
1000002 Alexander (#57) -4.6 53 -0.1 15 67.9 %
1000005 Allison (#58) -7.7 30 -0.3 30 73.3 %
1000004 Charles (#59) -6.8 20 -0.4 46 70.0 %
1000005 Joshua (#60) -8.2 17 -0.5 53 70.6 %
1000002 Jonathan (#61) -4.8 53 -0.1 15 69.8 %
1000004 Kevin (#62) -7.7 21 -0.4 42 61.9 %
1000002 Amber (#63) -5.2 80 -0.1 10 67.5 %
1000003 John (#64) -7.3 81 -0.1 10 61.7 %
1000005 Joseph (#65) -8.9 23 -0.4 39 65.2 %
1000004 Brittany (#66) -8.7 30 -0.3 26 56.7 %
1000003 Lauren (#67) -6.1 44 -0.1 18 68.2 %
1000004 Jordan (#68) -8.3 37 -0.2 21 64.9 %
1000006 Richard (#69) -12.0 10 -1.2 91 60.0 %
1000005 Christina (#70) -10.4 30 -0.3 26 56.7 %
1000007 Alexis (#71) -11.5 39 -0.3 22 66.7 %
1000006 Kayla (#72) -10.5 33 -0.3 23 63.6 %
1000008 Andrew (#73) -12.3 58 -0.2 14 72.4 %
1000006 Justin (#74) -10.9 112 -0.1 8 62.5 %
1000008 Kaitlyn (#75) -13.8 69 -0.2 12 63.8 %
1000008 Laura (#76) -15.2 67 -0.2 12 58.2 %
1000009 Adam (#77) -13.7 67 -0.2 12 70.2 %
1000010 Ashley (#78) -17.2 30 -0.6 29 63.3 %
1000010 Jessica (#79) -17.0 111 -0.2 8 64.0 %
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