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 "Ipg Photonics Corp (IPGP)"

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

Find The Lastest Buy Signals for IPGP Below.



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Algorithms Results since Jan/2010


  to  
Sort Factor Algorithm % Result # Trades % Result/Trade Days/Trade Hit % Detailed View
999969 Lauren (#1) 40.8 37 1.1 16 73.0 %
999974 Katherine (#2) 38.0 40 1.0 16 65.0 %
999987 Jesse (#3) 20.6 146 0.1 5 58.2 %
999989 Elizabeth (#4) 15.5 11 1.5 65 63.6 %
999978 Jonathan (#5) 29.1 48 0.6 13 70.8 %
999990 Haley (#6) 14.7 10 1.5 74 60.0 %
999991 Joshua (#7) 10.8 19 0.6 39 73.7 %
999978 Brian (#8) 29.1 45 0.6 14 73.3 %
999994 Kimberly (#9) 7.4 17 0.4 43 70.6 %
999993 Cody (#10) 8.4 14 0.6 48 71.4 %
999986 Anna (#11) 18.5 48 0.4 13 75.0 %
999999 Megan (#12) 0.1 33 0.0 18 63.6 %
999991 David (#13) 11.2 13 0.9 50 69.2 %
999996 Madison (#14) 4.1 27 0.2 22 63.0 %
999990 Brianna (#15) 12.4 37 0.3 17 73.0 %
999996 Chelsea (#16) 3.7 14 0.3 55 71.4 %
999986 Adam (#17) 17.9 67 0.3 10 70.2 %
1000004 Melissa (#18) -6.6 24 -0.3 25 66.7 %
999989 Justin (#19) 18.1 88 0.2 8 55.7 %
1000001 Dylan (#20) -2.5 10 -0.3 66 60.0 %
999991 Jordan (#21) 12.2 37 0.3 17 70.3 %
999994 Kayla (#22) 9.1 33 0.3 19 57.6 %
1000000 Courtney (#23) -1.5 12 -0.1 59 66.7 %
1000001 Richard (#24) -2.7 7 -0.4 96 57.1 %
1000001 Erin (#25) -3.3 9 -0.3 75 66.7 %
1000004 Ashley (#26) -6.8 22 -0.3 31 68.2 %
1000000 Kelsey (#27) -2.1 22 -0.1 30 72.7 %
1000001 Mary (#28) -4.0 12 -0.3 60 58.3 %
999991 Kaitlyn (#29) 13.2 57 0.2 11 64.9 %
1000007 Alexis (#30) -9.8 29 -0.3 24 75.9 %
1000006 Daniel (#31) -10.2 9 -1.1 86 66.7 %
1000004 Emily (#32) -7.1 7 -1.0 110 71.4 %
1000003 Jacob (#33) -6.8 7 -1.0 112 57.1 %
1000004 Anthony (#34) -6.7 31 -0.2 21 74.2 %
1000005 Christina (#35) -8.9 27 -0.3 24 66.7 %
1000000 Aaron (#36) -1.4 100 -0.0 7 65.0 %
1000001 Alexandra (#37) -2.3 39 -0.1 17 79.5 %
1000007 Mark (#38) -12.0 11 -1.1 59 63.6 %
999992 John (#39) 11.3 64 0.2 10 64.1 %
999993 Jessica (#40) 9.8 90 0.1 7 55.6 %
1000004 Hannah (#41) -5.9 6 -1.0 126 83.3 %
1000010 Kyle (#42) -13.9 8 -1.8 91 75.0 %
1000000 Amber (#43) -0.7 62 -0.0 10 66.1 %
1000006 Jose (#44) -9.9 27 -0.4 25 74.1 %
1000009 Allison (#45) -12.8 20 -0.7 35 75.0 %
1000009 Benjamin (#46) -14.2 15 -0.9 51 73.3 %
1000001 Andrew (#47) -3.4 53 -0.1 12 67.9 %
1000010 Brittany (#48) -14.7 25 -0.6 27 76.0 %
1000010 Austin (#49) -17.5 15 -1.1 46 66.7 %
1000006 Kevin (#50) -11.4 13 -0.9 52 61.5 %
1000008 Cameron (#51) -14.5 16 -0.9 42 62.5 %
1000006 Alexander (#52) -10.4 51 -0.2 13 74.5 %
1000006 Michelle (#53) -10.6 10 -1.1 65 60.0 %
1000009 Michael (#54) -14.3 14 -1.0 47 71.4 %
1000006 Nicole (#55) -10.3 12 -0.8 53 66.7 %
1000011 Alyssa (#56) -17.2 16 -1.1 47 68.8 %
1000009 Olivia (#57) -18.3 7 -2.6 94 57.1 %
1000011 Charles (#58) -22.7 13 -1.8 53 53.9 %
1000016 Juan (#59) -21.7 8 -2.8 91 75.0 %
1000011 Maria (#60) -19.1 19 -1.0 35 63.2 %
1000018 Joseph (#61) -27.4 16 -1.7 42 68.8 %
1000015 Christopher (#62) -24.3 18 -1.3 36 66.7 %
1000010 Abigail (#63) -16.5 74 -0.2 9 70.3 %
1000015 Amanda (#64) -21.9 7 -3.1 98 71.4 %
1000007 Laura (#65) -12.2 55 -0.2 12 63.6 %
1000016 Robert (#66) -25.2 6 -4.2 123 66.7 %
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