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  
2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024
Sort Factor Algorithm % Result # Trades % Result/Trade Days/Trade Hit % Detailed View
999953 Nicholas (#1) 59.8 25 2.4 21 76.0 %
999955 Megan (#2) 58.6 31 1.9 18 74.2 %
999951 Maria (#3) 55.1 23 2.4 22 87.0 %
999952 Michael (#4) 55.2 20 2.8 25 85.0 %
999953 Madison (#5) 55.6 29 1.9 18 82.8 %
999956 Christopher (#6) 51.3 25 2.0 19 84.0 %
999950 Kelsey (#7) 55.3 26 2.1 19 88.5 %
999953 Ashley (#8) 51.7 33 1.6 14 87.9 %
999959 Melissa (#9) 48.3 25 1.9 20 84.0 %
999957 Eric (#10) 46.4 12 3.8 28 91.7 %
999962 Alexis (#11) 45.8 37 1.2 12 81.1 %
999960 Cameron (#12) 45.7 21 2.2 21 85.7 %
999967 Christina (#13) 40.7 28 1.5 18 78.6 %
999963 Allison (#14) 40.7 27 1.5 16 88.9 %
999964 Cody (#15) 40.2 15 2.7 28 86.7 %
999965 Christian (#16) 37.3 11 3.4 30 90.9 %
999964 Danielle (#17) 37.6 11 3.5 31 90.9 %
999959 Heather (#18) 39.8 8 5.0 41 100.0 %
999967 Brianna (#19) 40.5 36 1.1 14 80.6 %
999967 Anthony (#20) 39.7 36 1.1 14 80.6 %
999965 Austin (#21) 40.1 21 1.9 19 85.7 %
999968 Kevin (#22) 38.5 20 2.0 21 80.0 %
999965 Brandon (#23) 36.6 14 2.6 24 92.9 %
999970 Alexandra (#24) 37.2 43 0.9 12 79.1 %
999969 Jose (#25) 37.4 31 1.2 16 80.7 %
999966 Amanda (#26) 35.2 17 2.1 20 94.1 %
999969 Brittany (#27) 37.5 27 1.4 18 77.8 %
999973 Kayla (#28) 32.9 29 1.1 17 79.3 %
999969 David (#29) 34.5 17 2.0 26 88.2 %
999971 Mark (#30) 31.8 17 1.9 25 88.2 %
999978 Olivia (#31) 31.2 9 3.4 44 66.7 %
999975 Jordan (#32) 31.2 38 0.8 13 76.3 %
999977 Anna (#33) 29.1 37 0.8 14 75.7 %
999977 Lauren (#34) 31.0 30 1.0 18 70.0 %
999974 Charles (#35) 29.3 16 1.8 24 87.5 %
999975 Joseph (#36) 29.3 24 1.2 18 83.3 %
999977 Richard (#37) 31.4 7 4.4 54 71.4 %
999976 Jason (#38) 27.4 6 4.5 61 83.3 %
999983 Samantha (#39) 29.5 9 3.2 49 55.6 %
999979 Emily (#40) 28.2 7 4.0 50 71.4 %
999976 Nicole (#41) 26.7 15 1.8 34 86.7 %
999976 Alyssa (#42) 24.7 23 1.1 16 91.3 %
999982 Hannah (#43) 26.3 6 4.3 58 66.7 %
999982 Jacob (#44) 25.2 6 4.2 65 66.7 %
999980 Dylan (#45) 22.6 13 1.8 31 84.6 %
999981 Daniel (#46) 23.0 9 2.6 38 77.8 %
999986 Alexander (#47) 18.5 44 0.4 12 72.7 %
999982 Juan (#48) 19.1 8 2.4 47 87.5 %
999982 Kyle (#49) 20.4 8 2.5 47 87.5 %
999986 Nathan (#50) 20.1 6 3.3 64 66.7 %
999985 Matthew (#51) 18.5 8 2.4 48 75.0 %
999990 Brian (#52) 13.3 33 0.4 16 66.7 %
999987 Benjamin (#53) 14.5 15 0.9 24 86.7 %
999988 Elizabeth (#54) 14.7 7 2.1 52 71.4 %
999989 Morgan (#55) 14.7 6 2.5 61 66.7 %
999991 Amber (#56) 12.6 49 0.3 11 65.3 %
999990 Jonathan (#57) 13.0 40 0.3 14 67.5 %
999989 Katherine (#58) 14.2 33 0.4 17 72.7 %
999985 Rebecca (#59) 18.8 15 1.3 34 73.3 %
999987 Kimberly (#60) 15.1 9 1.7 42 77.8 %
999990 Joshua (#61) 12.4 11 1.1 34 72.7 %
999991 Mary (#62) 11.6 6 2.0 62 66.7 %
999989 Michelle (#63) 13.0 10 1.3 41 80.0 %
999989 Chelsea (#64) 11.8 10 1.2 35 80.0 %
999990 Erin (#65) 13.0 6 2.2 62 66.7 %
999993 Laura (#66) 10.2 48 0.2 12 58.3 %
999993 Courtney (#67) 7.7 8 1.0 45 75.0 %
999998 John (#68) 2.5 54 0.0 11 59.3 %
999998 Kaitlyn (#69) 1.3 52 0.0 11 53.9 %
999998 Jesse (#70) 1.5 142 0.0 5 63.4 %
999998 Adam (#71) 1.4 48 0.0 12 64.6 %
1000001 Abigail (#72) -2.9 61 -0.1 9 59.0 %
1000000 Andrew (#73) -1.8 39 -0.1 14 61.5 %
1000002 Aaron (#74) -4.4 89 -0.0 7 62.9 %
1000003 Jessica (#75) -6.6 77 -0.1 8 55.8 %
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