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


  to  
Sort Factor Algorithm % Result # Trades % Result/Trade Days/Trade Hit % Detailed View
999925 Megan (#1) 98.0 33 3.0 17 75.8 %
999935 Nicholas (#2) 84.2 25 3.4 20 76.0 %
999928 Madison (#3) 83.2 27 3.1 19 85.2 %
999933 Melissa (#4) 78.8 24 3.3 21 83.3 %
999937 Michael (#5) 74.1 19 3.9 25 84.2 %
999943 Maria (#6) 65.1 21 3.1 22 85.7 %
999954 Brianna (#7) 61.8 37 1.7 13 73.0 %
999951 Christina (#8) 61.2 29 2.1 16 79.3 %
999952 Christopher (#9) 57.1 24 2.4 19 83.3 %
999950 Anthony (#10) 61.7 38 1.6 13 79.0 %
999946 Kelsey (#11) 60.3 26 2.3 18 88.5 %
999942 Allison (#12) 62.2 27 2.3 15 92.6 %
999958 Brittany (#13) 52.0 29 1.8 16 79.3 %
999954 Alexandra (#14) 55.5 42 1.3 12 81.0 %
999958 Kayla (#15) 51.3 31 1.7 16 80.7 %
999957 Lauren (#16) 55.8 31 1.8 17 74.2 %
999947 Austin (#17) 57.0 22 2.6 18 90.9 %
999955 Cody (#18) 49.7 16 3.1 26 87.5 %
999961 Jordan (#19) 48.0 37 1.3 13 78.4 %
999957 Cameron (#20) 49.4 21 2.3 20 85.7 %
999954 David (#21) 52.2 16 3.3 27 87.5 %
999949 Eric (#22) 49.8 10 5.0 20 100.0 %
999964 Anna (#23) 46.4 39 1.2 13 76.9 %
999966 Alexis (#24) 44.1 33 1.3 13 75.8 %
999950 Amanda (#25) 49.1 19 2.6 12 100.0 %
999950 Christian (#26) 49.0 11 4.5 19 100.0 %
999961 Jose (#27) 46.3 30 1.5 15 83.3 %
999962 Ashley (#28) 45.3 29 1.6 15 82.8 %
999949 Brandon (#29) 49.9 16 3.1 14 100.0 %
999952 Danielle (#30) 46.7 10 4.7 22 100.0 %
999952 Charles (#31) 49.8 18 2.8 22 94.4 %
999962 Katherine (#32) 45.9 34 1.4 16 79.4 %
999956 Alyssa (#33) 44.8 22 2.1 16 95.5 %
999960 Heather (#34) 39.4 6 6.5 27 100.0 %
999973 Alexander (#35) 35.6 44 0.8 12 72.7 %
999969 Kevin (#36) 36.5 19 1.9 21 84.2 %
999968 Joseph (#37) 35.6 22 1.6 19 86.4 %
999960 Benjamin (#38) 40.6 18 2.3 19 94.4 %
999974 Mark (#39) 28.8 14 2.1 29 85.7 %
999978 Brian (#40) 30.1 34 0.9 16 70.6 %
999970 Nathan (#41) 33.8 7 4.9 58 85.7 %
999964 Chelsea (#42) 37.8 13 2.9 26 92.3 %
999968 Daniel (#43) 34.3 10 3.4 33 90.0 %
999980 Jonathan (#44) 26.8 40 0.7 14 70.0 %
999974 Dylan (#45) 30.5 13 2.3 30 84.6 %
999974 Emily (#46) 29.4 7 4.1 47 85.7 %
999981 Olivia (#47) 27.1 9 3.0 41 66.7 %
999974 Richard (#48) 29.6 6 5.0 58 83.3 %
999980 Michelle (#49) 24.4 10 2.4 39 80.0 %
999975 Matthew (#50) 30.0 10 3.0 41 80.0 %
999983 Amber (#51) 25.8 52 0.5 11 61.5 %
999986 Laura (#52) 21.4 52 0.4 11 61.5 %
999986 Andrew (#53) 19.6 40 0.5 14 65.0 %
999975 Juan (#54) 26.0 12 2.2 33 91.7 %
999977 Nicole (#55) 26.7 16 1.7 34 81.3 %
999978 Kyle (#56) 23.3 11 2.1 36 90.9 %
999977 Erin (#57) 26.4 6 4.3 59 83.3 %
999979 Courtney (#58) 23.3 8 2.9 43 87.5 %
999988 Kaitlyn (#59) 20.3 56 0.4 10 57.1 %
999982 Elizabeth (#60) 20.1 6 3.3 58 83.3 %
999986 Abigail (#61) 20.8 67 0.3 9 61.2 %
999985 Joshua (#62) 16.6 10 1.7 35 80.0 %
999984 Kimberly (#63) 17.0 8 2.1 44 87.5 %
999986 Mary (#64) 14.8 6 2.5 60 83.3 %
999994 Jesse (#65) 9.3 136 0.1 5 60.3 %
999990 Rebecca (#66) 12.2 16 0.8 33 75.0 %
999998 Adam (#67) 2.4 51 0.0 12 60.8 %
1000000 Jessica (#68) -0.7 79 -0.0 8 55.7 %
1000000 John (#69) -1.9 59 -0.0 10 57.6 %
1000001 Aaron (#70) -4.2 87 -0.1 7 62.1 %
1000005 Justin (#71) -11.9 79 -0.2 8 53.2 %
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