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
999958 Samantha (#1) 63.7 11 5.8 48 63.6 %
999960 Robert (#2) 52.4 8 6.5 59 75.0 %
999970 Richard (#3) 41.4 10 4.1 51 70.0 %
999957 Rebecca (#4) 54.0 13 4.2 40 76.9 %
999971 Patrick (#5) 36.8 8 4.6 61 75.0 %
999982 Jacob (#6) 22.8 8 2.9 66 75.0 %
999983 Emily (#7) 26.1 8 3.3 69 62.5 %
999980 Haley (#8) 24.5 8 3.1 61 75.0 %
999975 Chelsea (#9) 27.9 14 2.0 39 85.7 %
999984 Michelle (#10) 19.9 13 1.5 40 76.9 %
999982 Joshua (#11) 18.8 18 1.1 28 88.9 %
999979 Nicole (#12) 26.0 14 1.9 39 78.6 %
999991 Samuel (#13) 12.1 6 2.0 82 66.7 %
999990 Olivia (#14) 11.0 9 1.2 55 77.8 %
999979 Jessica (#15) 30.4 86 0.4 7 66.3 %
999989 Cody (#16) 13.4 14 0.9 40 78.6 %
999981 Justin (#17) 29.6 86 0.4 7 59.3 %
999989 Kimberly (#18) 13.1 15 0.9 34 73.3 %
999992 Hannah (#19) 10.2 6 1.7 98 66.7 %
999989 Charles (#20) 11.8 15 0.8 36 80.0 %
999991 Courtney (#21) 10.5 12 0.8 44 83.3 %
999992 Daniel (#22) 9.6 9 1.1 61 66.7 %
1000000 Mark (#23) -1.5 14 -0.1 37 78.6 %
999996 Kyle (#24) 4.0 8 0.5 82 62.5 %
999996 Brandon (#25) 3.9 6 0.7 114 66.7 %
999999 Dylan (#26) -0.1 12 0.0 44 83.3 %
999995 Morgan (#27) 5.8 9 0.7 55 66.7 %
1000000 Juan (#28) -1.5 8 -0.1 82 75.0 %
999998 Matthew (#29) 0.5 6 0.2 109 66.7 %
999985 Nicholas (#30) 21.6 21 1.1 26 61.9 %
999997 Mary (#31) 1.6 12 0.2 43 83.3 %
1000004 Kevin (#32) -6.4 15 -0.4 35 80.0 %
1000002 David (#33) -4.4 14 -0.3 40 78.6 %
1000000 Michael (#34) -0.6 15 -0.1 38 73.3 %
1000002 Erin (#35) -5.4 10 -0.5 50 70.0 %
1000001 Elizabeth (#36) -2.8 8 -0.4 62 75.0 %
1000002 Cameron (#37) -3.7 16 -0.3 35 75.0 %
1000006 Maria (#38) -10.1 16 -0.6 36 68.8 %
1000004 Benjamin (#39) -5.5 13 -0.5 42 76.9 %
1000008 Joseph (#40) -11.3 18 -0.6 29 77.8 %
1000007 Austin (#41) -10.5 17 -0.7 31 76.5 %
1000003 Jesse (#42) -5.6 143 -0.0 5 60.1 %
1000001 Alexis (#43) -2.7 22 -0.1 26 77.3 %
1000008 Alyssa (#44) -12.0 15 -0.8 37 73.3 %
1000007 Ashley (#45) -11.3 18 -0.6 32 72.2 %
1000012 Jose (#46) -18.2 23 -0.8 25 69.6 %
1000013 Allison (#47) -19.8 17 -1.2 31 70.6 %
1000015 Kelsey (#48) -22.7 17 -1.4 33 70.6 %
1000014 Christopher (#49) -21.5 16 -1.4 35 68.8 %
999998 John (#50) 2.3 56 0.0 10 69.6 %
1000001 Adam (#51) -2.4 58 -0.0 10 77.6 %
1000009 Aaron (#52) -13.6 89 -0.2 7 71.9 %
1000004 Abigail (#53) -7.2 70 -0.1 9 70.0 %
1000002 Amber (#54) -4.2 56 -0.1 10 73.2 %
1000013 Alexander (#55) -19.7 47 -0.4 12 70.2 %
1000014 Madison (#56) -24.4 23 -1.0 22 60.9 %
1000011 Andrew (#57) -16.4 47 -0.3 12 72.3 %
1000021 Christina (#58) -32.1 22 -1.5 25 68.2 %
1000000 Laura (#59) -1.3 53 -0.0 11 69.8 %
1000020 Brianna (#60) -29.2 29 -1.0 19 72.4 %
1000014 Jonathan (#61) -20.6 41 -0.5 14 73.2 %
1000024 Brittany (#62) -34.2 18 -1.9 32 72.2 %
1000020 Jordan (#63) -29.0 35 -0.8 15 71.4 %
1000007 Kaitlyn (#64) -13.3 51 -0.3 11 64.7 %
1000027 Alexandra (#65) -41.8 30 -1.4 18 66.7 %
1000022 Brian (#66) -33.4 35 -0.9 16 68.6 %
1000022 Lauren (#67) -35.4 30 -1.2 17 66.7 %
1000023 Kayla (#68) -38.0 29 -1.3 18 62.1 %
1000030 Anthony (#69) -46.8 23 -2.0 25 65.2 %
1000027 Anna (#70) -42.1 33 -1.3 17 66.7 %
1000026 Katherine (#71) -42.9 35 -1.2 16 62.9 %
1000035 Megan (#72) -66.4 31 -2.1 17 54.8 %
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