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
999960 Samantha (#1) 63.9 13 4.9 50 61.5 %
999948 Rebecca (#2) 70.3 18 3.9 39 72.2 %
999951 Robert (#3) 60.2 10 6.0 58 80.0 %
999971 Richard (#4) 42.3 12 3.5 53 66.7 %
999966 Patrick (#5) 41.1 10 4.1 60 80.0 %
999971 Emily (#6) 38.0 11 3.5 53 72.7 %
999969 Michelle (#7) 35.9 19 1.9 35 84.2 %
999969 Cody (#8) 36.4 23 1.6 30 82.6 %
999972 Jacob (#9) 32.0 12 2.7 50 83.3 %
999965 Nicole (#10) 43.0 19 2.3 39 79.0 %
999961 Chelsea (#11) 42.5 19 2.3 31 89.5 %
999969 Charles (#12) 35.3 22 1.6 29 86.4 %
999973 Haley (#13) 32.2 10 3.2 58 80.0 %
999969 Justin (#14) 49.4 114 0.4 7 61.4 %
999969 Joshua (#15) 32.9 25 1.3 24 92.0 %
999971 Jessica (#16) 42.0 114 0.4 7 66.7 %
999975 Courtney (#17) 27.3 18 1.5 35 88.9 %
999981 Kimberly (#18) 24.2 21 1.1 29 76.2 %
999984 Hannah (#19) 20.0 8 2.5 77 75.0 %
999987 Samuel (#20) 16.7 7 2.4 86 71.4 %
999987 Mark (#21) 15.5 21 0.7 31 81.0 %
999986 Olivia (#22) 17.4 12 1.4 52 75.0 %
999984 David (#23) 16.6 21 0.8 33 85.7 %
999982 Michael (#24) 20.6 22 1.0 33 81.8 %
999981 Cameron (#25) 21.0 26 0.8 27 84.6 %
999981 Daniel (#26) 22.8 13 1.8 45 76.9 %
999989 Maria (#27) 14.4 26 0.5 28 73.1 %
999988 Dylan (#28) 13.1 17 0.8 37 88.2 %
999990 Kevin (#29) 10.9 25 0.4 26 80.0 %
999980 Alexis (#30) 23.4 37 0.6 19 83.8 %
999988 Mary (#31) 12.7 16 0.8 38 87.5 %
999991 Joseph (#32) 8.6 30 0.3 22 86.7 %
999986 Ashley (#33) 16.4 30 0.5 24 83.3 %
999995 Erin (#34) 4.5 13 0.4 46 76.9 %
999983 Nicholas (#35) 28.9 32 0.9 22 56.3 %
999990 Austin (#36) 10.8 24 0.5 27 83.3 %
999991 Morgan (#37) 12.1 12 1.0 50 66.7 %
999995 Kyle (#38) 5.9 9 0.7 73 66.7 %
999992 Elizabeth (#39) 8.2 11 0.7 52 81.8 %
999996 Brandon (#40) 3.9 6 0.7 114 66.7 %
999993 Christopher (#41) 8.4 26 0.3 28 80.8 %
999992 Benjamin (#42) 7.6 20 0.4 30 85.0 %
999999 Amanda (#43) -0.2 7 0.0 99 57.1 %
999999 Juan (#44) 0.0 9 0.0 73 77.8 %
999998 Matthew (#45) 0.5 6 0.2 109 66.7 %
999998 Jose (#46) 0.8 34 0.0 21 76.5 %
1000000 Kelsey (#47) -1.3 28 -0.0 26 82.1 %
999997 Alyssa (#48) 1.8 23 0.1 26 82.6 %
1000001 Christina (#49) -2.2 35 -0.1 21 77.1 %
999999 Allison (#50) -0.4 25 0.0 25 80.0 %
999988 Adam (#51) 14.2 80 0.2 10 76.3 %
999987 John (#52) 17.4 76 0.2 10 69.7 %
999997 Aaron (#53) 3.3 121 0.0 7 69.4 %
1000004 Brittany (#54) -6.1 30 -0.2 24 80.0 %
1000002 Madison (#55) -4.4 33 -0.1 21 66.7 %
1000001 Jesse (#56) -3.6 186 -0.0 5 59.1 %
999999 Alexander (#57) -0.1 66 0.0 11 74.2 %
1000002 Jordan (#58) -4.3 52 -0.1 13 76.9 %
999994 Abigail (#59) 7.3 97 0.1 8 70.1 %
999997 Andrew (#60) 3.0 66 0.1 11 74.2 %
1000006 Brianna (#61) -8.8 44 -0.2 16 77.3 %
999992 Amber (#62) 9.0 76 0.1 10 73.7 %
1000001 Jonathan (#63) -2.5 60 -0.1 13 75.0 %
1000012 Alexandra (#64) -16.5 46 -0.4 16 76.1 %
1000010 Lauren (#65) -14.6 44 -0.3 16 70.5 %
999991 Laura (#66) 11.5 70 0.2 11 68.6 %
999998 Kaitlyn (#67) 1.0 68 0.0 11 64.7 %
1000011 Kayla (#68) -16.6 41 -0.4 17 70.7 %
1000009 Brian (#69) -13.7 50 -0.3 14 74.0 %
1000018 Anthony (#70) -26.1 35 -0.7 21 74.3 %
1000015 Anna (#71) -21.9 48 -0.5 15 72.9 %
1000013 Katherine (#72) -19.8 52 -0.4 14 71.2 %
1000016 Melissa (#73) -32.5 25 -1.3 28 52.0 %
1000025 Megan (#74) -44.2 45 -1.0 16 60.0 %
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