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 "Textron Inc (TXT)"

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    Please select the "Detailed View" button to see how it performs!

Find The Lastest Buy Signals for TXT Below.



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Algorithms Results since Jan/2010


2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024
  to  
2015 2016 2017 2018 2019 2020 2021 2022 2023 2024
Sort Factor Algorithm % Result # Trades % Result/Trade Days/Trade Hit % Detailed View
999950 Ashley (#1) 54.4 33 1.6 14 90.9 %
999952 Christopher (#2) 52.9 25 2.1 19 88.0 %
999959 Megan (#3) 54.1 35 1.5 15 74.3 %
999956 Maria (#4) 52.1 24 2.2 21 83.3 %
999957 Alexis (#5) 49.7 39 1.3 12 84.6 %
999957 Cameron (#6) 46.2 23 2.0 19 91.3 %
999959 Alexandra (#7) 46.3 43 1.1 12 86.1 %
999961 Christina (#8) 45.0 31 1.5 16 83.9 %
999959 Austin (#9) 44.0 21 2.1 19 90.5 %
999957 Kelsey (#10) 46.5 28 1.7 18 89.3 %
999963 Madison (#11) 43.9 29 1.5 17 82.8 %
999965 Brianna (#12) 40.4 38 1.1 13 84.2 %
999961 Melissa (#13) 42.7 24 1.8 20 87.5 %
999967 Anna (#14) 39.5 39 1.0 13 82.1 %
999965 Kayla (#15) 39.2 31 1.3 16 87.1 %
999966 Anthony (#16) 38.5 34 1.2 14 85.3 %
999969 Brittany (#17) 36.7 27 1.4 18 81.5 %
999969 Jordan (#18) 37.1 41 0.9 12 80.5 %
999968 Kevin (#19) 39.0 24 1.6 18 79.2 %
999965 Cody (#20) 39.8 19 2.1 22 84.2 %
999964 Eric (#21) 39.5 11 3.6 28 90.9 %
999963 Allison (#22) 39.2 25 1.6 16 92.0 %
999967 Charles (#23) 36.3 17 2.1 22 88.2 %
999970 Jose (#24) 34.5 31 1.1 16 83.9 %
999973 Lauren (#25) 34.8 34 1.0 15 73.5 %
999970 Michael (#26) 33.8 20 1.7 25 85.0 %
999976 Nicholas (#27) 36.0 27 1.3 18 63.0 %
999969 Joseph (#28) 33.6 28 1.2 16 89.3 %
999971 Mark (#29) 32.7 19 1.7 23 84.2 %
999971 David (#30) 31.1 18 1.7 25 88.9 %
999977 Katherine (#31) 27.7 40 0.7 13 77.5 %
999977 Brian (#32) 28.6 38 0.8 13 76.3 %
999970 Christian (#33) 31.6 10 3.2 30 90.0 %
999979 Alexander (#34) 25.8 46 0.6 11 78.3 %
999972 Amanda (#35) 28.6 14 2.1 21 92.9 %
999972 Brandon (#36) 30.4 12 2.5 25 91.7 %
999972 Danielle (#37) 30.4 10 3.0 31 90.0 %
999982 Jonathan (#38) 24.3 46 0.5 12 71.7 %
999977 Alyssa (#39) 23.8 22 1.1 15 90.9 %
999979 Robert (#40) 24.4 6 4.0 62 83.3 %
999985 Andrew (#41) 19.3 47 0.4 11 72.3 %
999983 Amber (#42) 21.9 52 0.4 10 73.1 %
999978 Daniel (#43) 26.0 10 2.6 30 80.0 %
999982 Emily (#44) 24.4 7 3.4 41 71.4 %
999974 Heather (#45) 25.4 7 3.6 43 100.0 %
999985 John (#46) 20.3 56 0.4 10 67.9 %
999981 Dylan (#47) 20.6 13 1.6 30 84.6 %
999987 Abigail (#48) 18.5 66 0.3 8 68.2 %
999982 Joshua (#49) 21.4 15 1.4 24 80.0 %
999980 Jacob (#50) 24.0 9 2.7 38 77.8 %
999986 Olivia (#51) 20.4 9 2.2 46 66.7 %
999983 Courtney (#52) 18.5 12 1.6 29 83.3 %
999985 Michelle (#53) 17.1 13 1.3 33 84.6 %
999983 Kimberly (#54) 20.8 12 1.8 29 75.0 %
999982 Benjamin (#55) 18.6 16 1.2 20 87.5 %
999984 Elizabeth (#56) 19.7 8 2.5 42 75.0 %
999984 Hannah (#57) 21.6 6 3.7 49 66.7 %
999985 Chelsea (#58) 17.2 11 1.6 28 81.8 %
999986 Mary (#59) 18.4 8 2.3 45 75.0 %
999989 Aaron (#60) 14.9 89 0.2 6 65.2 %
999990 Kaitlyn (#61) 15.2 50 0.3 10 58.0 %
999989 Richard (#62) 16.9 7 2.4 56 57.1 %
999990 Adam (#63) 11.7 54 0.2 10 72.2 %
999991 Justin (#64) 14.1 75 0.2 8 57.3 %
999992 Laura (#65) 12.9 47 0.3 11 57.5 %
999988 Haley (#66) 17.0 6 2.8 58 66.7 %
999990 Erin (#67) 12.6 7 1.9 51 71.4 %
999992 Morgan (#68) 13.4 7 1.9 51 57.1 %
999991 Nicole (#69) 11.3 13 0.9 40 76.9 %
999987 Kyle (#70) 14.3 7 2.0 46 85.7 %
999992 Patrick (#71) 9.7 6 1.7 61 66.7 %
999994 Jessica (#72) 7.9 76 0.1 8 64.5 %
999990 Juan (#73) 11.2 7 1.6 47 85.7 %
999993 Rebecca (#74) 9.5 13 0.8 40 61.5 %
999994 Matthew (#75) 8.4 6 1.3 55 66.7 %
1000003 Jesse (#76) -6.2 140 -0.0 5 62.9 %
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