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
999952 Joshua (#1) 50.1 17 2.9 19 94.1 %
999950 Morgan (#2) 48.7 9 5.4 36 100.0 %
999952 Eric (#3) 46.9 6 7.8 45 100.0 %
999952 Hannah (#4) 47.4 6 7.8 50 100.0 %
999952 Haley (#5) 46.8 8 5.9 41 100.0 %
999959 Kimberly (#6) 43.5 15 2.9 21 93.3 %
999954 Elizabeth (#7) 45.0 9 5.0 36 100.0 %
999954 James (#8) 45.4 6 7.5 49 100.0 %
999954 Patrick (#9) 44.7 6 7.5 56 100.0 %
999955 Olivia (#10) 43.9 6 7.3 59 100.0 %
999956 Christian (#11) 42.8 9 4.8 32 100.0 %
999958 Danielle (#12) 41.2 7 5.9 40 100.0 %
999958 Emily (#13) 40.6 7 5.9 43 100.0 %
999960 Heather (#14) 39.1 6 6.5 47 100.0 %
999971 Nicholas (#15) 36.1 14 2.6 27 78.6 %
999966 Dylan (#16) 36.6 9 4.1 38 88.9 %
999961 Michelle (#17) 37.5 7 5.4 49 100.0 %
999970 Brian (#18) 34.8 30 1.2 13 83.3 %
999964 Mary (#19) 35.1 10 3.5 32 100.0 %
999968 Cody (#20) 34.4 11 3.1 32 90.9 %
999974 Jose (#21) 34.1 19 1.8 19 73.7 %
999964 Daniel (#22) 35.4 7 5.0 42 100.0 %
999968 Benjamin (#23) 34.0 10 3.4 31 90.0 %
999965 Erin (#24) 34.5 7 4.9 49 100.0 %
999976 Brittany (#25) 33.0 17 1.9 22 70.6 %
999966 Chelsea (#26) 33.3 9 3.7 33 100.0 %
999977 Laura (#27) 33.4 39 0.9 10 66.7 %
999969 Juan (#28) 33.1 12 2.8 24 91.7 %
999967 Charles (#29) 32.1 10 3.2 33 100.0 %
999973 Allison (#30) 32.3 15 2.1 22 80.0 %
999975 Austin (#31) 32.2 12 2.7 27 75.0 %
999966 Brandon (#32) 32.6 9 3.7 32 100.0 %
999973 Anna (#33) 31.8 29 1.1 13 82.8 %
999974 Alexander (#34) 30.7 31 1.0 12 80.7 %
999968 Courtney (#35) 31.1 8 3.9 40 100.0 %
999968 Amanda (#36) 31.4 10 3.1 29 100.0 %
999977 David (#37) 30.3 11 2.7 31 72.7 %
999978 Maria (#38) 29.9 13 2.3 26 69.2 %
999973 Mark (#39) 30.5 7 4.3 49 85.7 %
999973 Nathan (#40) 30.7 6 5.2 46 83.3 %
999968 Rachel (#41) 31.3 6 5.2 46 100.0 %
999982 Christopher (#42) 29.3 12 2.4 29 58.3 %
999976 Alexis (#43) 28.6 20 1.5 18 80.0 %
999978 Cameron (#44) 28.5 11 2.6 31 72.7 %
999977 Kyle (#45) 27.8 9 3.1 31 77.8 %
999974 Alyssa (#46) 28.1 10 2.8 31 90.0 %
999979 Ashley (#47) 27.6 14 2.0 25 71.4 %
999978 Kelsey (#48) 27.9 15 1.9 24 73.3 %
999975 Matthew (#49) 28.0 7 4.0 40 85.7 %
999979 Anthony (#50) 27.1 20 1.4 19 75.0 %
999980 Melissa (#51) 26.0 15 1.7 25 73.3 %
999982 Kayla (#52) 25.4 20 1.3 19 70.0 %
999977 Jonathan (#53) 27.2 31 0.9 13 80.7 %
999981 Jordan (#54) 24.9 22 1.1 17 72.7 %
999983 Lauren (#55) 24.4 25 1.0 15 68.0 %
999981 Kevin (#56) 24.5 8 3.0 44 75.0 %
999978 Katherine (#57) 25.4 28 0.9 14 85.7 %
999986 Christina (#58) 22.9 14 1.6 26 57.1 %
999983 Kaitlyn (#59) 21.8 40 0.6 10 72.5 %
999985 Brianna (#60) 21.3 19 1.1 20 68.4 %
999981 Andrew (#61) 22.6 35 0.7 11 80.0 %
999984 Joseph (#62) 20.4 8 2.5 43 75.0 %
999985 Amber (#63) 18.6 40 0.5 10 75.0 %
999988 John (#64) 17.1 40 0.4 10 67.5 %
999987 Jessica (#65) 17.8 56 0.3 7 67.9 %
999985 Nicole (#66) 17.7 9 2.0 45 77.8 %
999987 Alexandra (#67) 15.2 22 0.7 17 77.3 %
999987 Adam (#68) 15.6 39 0.4 10 74.4 %
999990 Madison (#69) 13.3 15 0.9 24 66.7 %
999992 Michael (#70) 10.6 9 1.2 45 66.7 %
999991 Jesse (#71) 12.2 89 0.1 5 64.0 %
999992 Rebecca (#72) 9.8 9 1.1 45 66.7 %
999995 Abigail (#73) 6.2 45 0.1 9 66.7 %
999995 Justin (#74) 5.7 52 0.1 8 65.4 %
999995 Aaron (#75) 5.7 57 0.1 7 68.4 %
1000001 Megan (#76) -2.7 20 -0.2 19 60.0 %
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