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 "Tyler Technologies Inc (TYL)"

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

Find The Lastest Buy Signals for TYL Below.



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Algorithms Results since Jan/2010


  to  
Sort Factor Algorithm % Result # Trades % Result/Trade Days/Trade Hit % Detailed View
999924 Amber (#1) 90.9 70 1.3 8 82.9 %
999934 Abigail (#2) 79.6 80 1.0 7 81.3 %
999943 John (#3) 74.5 67 1.1 8 74.6 %
999944 Aaron (#4) 71.8 98 0.7 6 76.5 %
999931 Andrew (#5) 78.9 62 1.3 9 85.5 %
999941 Laura (#6) 79.4 63 1.3 9 73.0 %
999942 Adam (#7) 67.5 68 1.0 8 83.8 %
999937 Nathan (#8) 62.2 6 10.3 75 100.0 %
999951 Kaitlyn (#9) 65.6 63 1.1 9 73.0 %
999940 Alexander (#10) 67.5 54 1.3 10 87.0 %
999957 Jessica (#11) 63.2 86 0.7 7 66.3 %
999961 Justin (#12) 55.7 85 0.7 7 68.2 %
999959 Matthew (#13) 46.8 7 6.7 64 85.7 %
999960 Juan (#14) 38.9 9 4.3 42 100.0 %
999967 Kyle (#15) 36.9 7 5.3 54 85.7 %
999957 Jonathan (#16) 50.1 43 1.2 13 83.7 %
999962 Katherine (#17) 47.2 41 1.2 13 78.1 %
999960 Brian (#18) 45.6 43 1.1 13 83.7 %
999968 Brianna (#19) 35.2 33 1.1 16 87.9 %
999968 Anna (#20) 33.8 40 0.9 13 90.0 %
999975 Lauren (#21) 31.7 34 0.9 16 76.5 %
999986 Jesse (#22) 23.3 148 0.2 4 57.4 %
999975 Jordan (#23) 28.4 34 0.8 15 85.3 %
999997 Samantha (#24) 2.8 8 0.4 52 75.0 %
999985 Kayla (#25) 17.4 29 0.6 18 82.8 %
999988 Melissa (#26) 14.1 21 0.7 24 76.2 %
999987 Madison (#27) 13.5 24 0.6 21 83.3 %
999999 Alyssa (#28) 0.3 11 0.0 33 72.7 %
1000000 Benjamin (#29) -0.7 9 -0.1 40 66.7 %
999990 Maria (#30) 10.9 16 0.7 28 81.3 %
999988 Alexandra (#31) 11.8 35 0.3 14 91.4 %
999988 Anthony (#32) 11.5 29 0.4 16 89.7 %
999997 Megan (#33) 2.6 29 0.1 17 79.3 %
1000000 Rebecca (#34) -1.2 12 -0.1 38 58.3 %
999993 Christopher (#35) 6.7 16 0.4 28 81.3 %
1000000 Cameron (#36) -1.2 13 -0.1 32 76.9 %
1000000 Cody (#37) -2.3 12 -0.2 34 75.0 %
1000002 Courtney (#38) -6.2 7 -0.9 54 57.1 %
999999 Michael (#39) 0.3 10 0.0 44 70.0 %
1000000 Allison (#40) -0.9 17 -0.1 22 82.4 %
1000001 David (#41) -2.3 13 -0.2 34 76.9 %
1000005 Erin (#42) -9.7 7 -1.4 55 57.1 %
1000001 Mark (#43) -3.3 11 -0.3 38 72.7 %
1000001 Nicholas (#44) -3.6 21 -0.2 24 61.9 %
1000005 Nicole (#45) -9.2 8 -1.1 55 62.5 %
999997 Christina (#46) 2.1 19 0.1 24 79.0 %
1000005 Olivia (#47) -10.5 8 -1.3 52 62.5 %
1000000 Jose (#48) -0.9 23 -0.0 20 87.0 %
999998 Brittany (#49) 1.0 21 0.1 21 85.7 %
1000004 Austin (#50) -6.9 14 -0.5 27 78.6 %
1000007 Joseph (#51) -10.3 13 -0.8 31 76.9 %
1000006 Charles (#52) -9.9 11 -0.9 33 72.7 %
1000006 Ashley (#53) -7.9 16 -0.5 26 81.3 %
1000002 Kelsey (#54) -4.0 17 -0.2 27 82.4 %
1000007 Kevin (#55) -13.0 11 -1.2 37 63.6 %
1000010 Michelle (#56) -16.3 9 -1.8 46 66.7 %
1000011 Alexis (#57) -13.9 17 -0.8 25 82.4 %
1000011 Dylan (#58) -17.6 9 -2.0 43 66.7 %
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