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
999946 Matthew (#1) 60.6 8 7.6 47 87.5 %
999951 Cody (#2) 54.9 15 3.7 27 86.7 %
999958 Rebecca (#3) 49.5 12 4.1 36 83.3 %
999952 Dylan (#4) 54.7 13 4.2 32 84.6 %
999959 Samantha (#5) 52.9 8 6.6 49 75.0 %
999966 Rachel (#6) 49.7 6 8.3 62 66.7 %
999960 Nathan (#7) 45.8 7 6.6 54 85.7 %
999963 David (#8) 43.4 13 3.3 31 84.6 %
999965 Mark (#9) 42.7 15 2.9 28 80.0 %
999965 Michelle (#10) 40.7 12 3.4 35 83.3 %
999961 Danielle (#11) 44.3 7 6.3 49 85.7 %
999966 Brandon (#12) 36.8 10 3.7 35 90.0 %
999964 Juan (#13) 39.1 10 3.9 37 90.0 %
999961 Kyle (#14) 42.6 8 5.4 46 87.5 %
999964 Christian (#15) 39.7 8 5.0 43 87.5 %
999965 Amanda (#16) 36.7 11 3.4 31 90.9 %
999963 Eric (#17) 42.9 6 7.2 56 83.3 %
999970 Chelsea (#18) 35.4 11 3.2 37 81.8 %
999972 Richard (#19) 36.4 8 4.5 46 75.0 %
999966 Charles (#20) 38.5 14 2.8 31 85.7 %
999969 Morgan (#21) 37.5 9 4.2 47 77.8 %
999966 Kimberly (#22) 39.2 14 2.8 30 85.7 %
999976 Nicholas (#23) 34.0 19 1.8 24 68.4 %
999967 Courtney (#24) 37.9 12 3.2 36 83.3 %
999975 Olivia (#25) 37.6 11 3.5 36 63.6 %
999979 Nicole (#26) 27.2 12 2.3 36 75.0 %
999968 Joshua (#27) 34.9 16 2.2 27 87.5 %
999974 Mary (#28) 31.4 10 3.1 42 80.0 %
999975 Cameron (#29) 28.5 17 1.7 25 82.4 %
999966 Kevin (#30) 36.8 18 2.1 24 88.9 %
999975 Daniel (#31) 31.0 9 3.4 44 77.8 %
999977 Alyssa (#32) 24.8 16 1.6 25 87.5 %
999979 Erin (#33) 26.1 9 2.9 45 77.8 %
999972 Joseph (#34) 29.9 20 1.5 21 90.0 %
999979 Benjamin (#35) 23.5 13 1.9 31 84.6 %
999979 Austin (#36) 23.4 16 1.4 27 87.5 %
999978 Patrick (#37) 28.1 8 3.5 51 75.0 %
999982 Elizabeth (#38) 21.7 8 2.8 51 75.0 %
999985 Jesse (#39) 22.4 132 0.2 5 65.2 %
999987 Allison (#40) 15.0 18 0.8 25 77.8 %
999995 Michael (#41) 7.7 11 0.7 37 54.6 %
999992 Melissa (#42) 10.8 18 0.6 25 66.7 %
999990 Emily (#43) 13.6 6 2.3 65 66.7 %
999992 Ashley (#44) 9.2 18 0.5 22 72.2 %
999993 Alexis (#45) 8.5 21 0.4 20 76.2 %
999995 Christopher (#46) 5.9 14 0.4 29 64.3 %
999995 Jose (#47) 6.5 19 0.3 21 68.4 %
999997 Kelsey (#48) 3.2 18 0.2 22 66.7 %
999998 Aaron (#49) 2.1 84 0.0 6 71.4 %
1000002 Adam (#50) -3.6 45 -0.1 10 66.7 %
999998 Alexander (#51) 2.2 35 0.1 13 68.6 %
999996 Alexandra (#52) 3.6 26 0.2 17 73.1 %
1000000 Anthony (#53) -1.3 22 -0.1 19 72.7 %
999998 Anna (#54) 0.7 29 0.0 16 65.5 %
1000000 John (#55) -1.6 52 -0.0 9 69.2 %
1000001 Megan (#56) -3.1 28 -0.1 18 53.6 %
1000003 Madison (#57) -7.0 20 -0.4 23 55.0 %
999998 Justin (#58) 1.6 72 0.0 7 65.3 %
1000004 Brianna (#59) -8.5 22 -0.4 20 68.2 %
1000008 Brittany (#60) -14.9 16 -0.9 26 62.5 %
1000006 Lauren (#61) -12.5 30 -0.4 16 56.7 %
1000008 Amber (#62) -13.9 49 -0.3 10 67.4 %
1000005 Jordan (#63) -9.3 27 -0.3 18 66.7 %
1000010 Abigail (#64) -15.9 59 -0.3 8 71.2 %
1000009 Jonathan (#65) -15.8 38 -0.4 13 60.5 %
1000006 Jessica (#66) -10.3 76 -0.1 7 72.4 %
1000009 Kaitlyn (#67) -15.7 48 -0.3 10 64.6 %
1000008 Brian (#68) -14.1 28 -0.5 16 60.7 %
1000012 Christina (#69) -25.5 17 -1.5 25 52.9 %
1000013 Andrew (#70) -25.0 33 -0.8 13 57.6 %
1000014 Katherine (#71) -27.4 31 -0.9 15 54.8 %
1000015 Laura (#72) -23.4 47 -0.5 10 68.1 %
1000015 Kayla (#73) -25.5 21 -1.2 22 61.9 %
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