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 "Teradyne Inc (TER)"

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

Find The Lastest Buy Signals for TER Below.



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Algorithms Results since Jan/2010


  to  
Sort Factor Algorithm % Result # Trades % Result/Trade Days/Trade Hit % Detailed View
999979 Nicholas (#1) 35.3 12 2.9 25 58.3 %
999969 Rebecca (#2) 40.4 8 5.0 33 75.0 %
999981 Melissa (#3) 25.5 11 2.3 26 72.7 %
999984 Jesse (#4) 25.4 90 0.3 5 60.0 %
999984 Michael (#5) 22.5 10 2.2 27 70.0 %
999980 Dylan (#6) 26.2 7 3.7 37 71.4 %
999982 Nicole (#7) 22.7 8 2.9 34 75.0 %
999980 Mark (#8) 24.4 9 2.7 29 77.8 %
999991 Madison (#9) 13.1 12 1.1 26 58.3 %
999983 Jose (#10) 20.4 14 1.4 19 78.6 %
999984 Alexis (#11) 19.1 15 1.3 17 80.0 %
999982 Samantha (#12) 26.1 6 4.3 42 66.7 %
999983 Cody (#13) 21.2 8 2.6 32 75.0 %
999982 Amanda (#14) 19.6 6 3.3 40 83.3 %
999987 David (#15) 16.9 7 2.4 35 71.4 %
999989 Maria (#16) 12.6 12 1.1 23 75.0 %
999987 Ashley (#17) 15.0 13 1.2 19 76.9 %
999992 Amber (#18) 10.3 39 0.3 9 66.7 %
999990 Anthony (#19) 10.5 20 0.6 14 80.0 %
999989 Michelle (#20) 16.4 8 2.0 32 62.5 %
999993 Adam (#21) 8.8 37 0.2 9 70.3 %
999991 Kelsey (#22) 10.3 13 0.8 21 76.9 %
999990 Alyssa (#23) 10.9 9 1.2 31 77.8 %
999992 Courtney (#24) 10.9 6 1.8 47 66.7 %
999993 Benjamin (#25) 8.4 7 1.1 39 71.4 %
999991 Kevin (#26) 9.6 11 0.9 25 81.8 %
999995 Alexander (#27) 5.4 26 0.2 12 73.1 %
999995 Alexandra (#28) 5.3 21 0.2 14 76.2 %
999993 Charles (#29) 8.6 7 1.3 40 71.4 %
1000000 Lauren (#30) -2.5 21 -0.1 15 61.9 %
999990 Cameron (#31) 10.6 9 1.2 28 77.8 %
1000000 Anna (#32) -1.7 21 -0.1 14 66.7 %
999996 Christopher (#33) 4.2 9 0.4 28 66.7 %
999991 Aaron (#34) 11.5 59 0.2 6 72.9 %
999995 Joseph (#35) 4.6 12 0.4 22 83.3 %
1000000 Brianna (#36) -1.5 16 -0.1 18 75.0 %
1000002 Brian (#37) -3.5 20 -0.2 15 65.0 %
999999 Allison (#38) 0.3 9 0.0 32 77.8 %
1000000 Brittany (#39) -1.1 15 -0.1 17 73.3 %
1000003 Megan (#40) -6.5 20 -0.3 16 60.0 %
1000001 John (#41) -4.1 35 -0.1 10 57.1 %
1000003 Jonathan (#42) -6.2 26 -0.2 12 65.4 %
999999 Austin (#43) 0.0 8 0.0 35 75.0 %
1000002 Abigail (#44) -5.2 43 -0.1 8 67.4 %
1000003 Justin (#45) -5.6 48 -0.1 8 64.6 %
1000008 Laura (#46) -14.6 34 -0.4 10 61.8 %
1000007 Andrew (#47) -12.4 25 -0.5 13 64.0 %
1000005 Christina (#48) -11.7 13 -0.9 22 53.9 %
1000009 Katherine (#49) -18.6 22 -0.9 14 54.6 %
1000011 Jordan (#50) -17.8 15 -1.2 21 66.7 %
1000010 Jessica (#51) -17.1 50 -0.3 7 66.0 %
1000015 Kaitlyn (#52) -28.1 33 -0.9 11 57.6 %
1000015 Kayla (#53) -27.0 12 -2.3 25 58.3 %
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