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
999968 Katherine (#1) 46.3 31 1.5 14 67.7 %
999967 Lauren (#2) 42.6 28 1.5 16 75.0 %
999974 Jonathan (#3) 34.4 37 0.9 12 73.0 %
999974 Brianna (#4) 32.3 30 1.1 15 76.7 %
999988 Megan (#5) 17.4 26 0.7 16 65.4 %
999972 Anna (#6) 33.8 39 0.9 12 79.5 %
999987 Jesse (#7) 21.2 98 0.2 5 59.2 %
999971 Brian (#8) 36.1 35 1.0 13 77.1 %
999987 Madison (#9) 18.7 21 0.9 20 61.9 %
999980 Kayla (#10) 28.9 26 1.1 17 65.4 %
999979 Jordan (#11) 27.9 28 1.0 16 71.4 %
999994 Melissa (#12) 6.7 19 0.4 22 68.4 %
999990 Kelsey (#13) 11.9 18 0.7 26 72.2 %
999991 Anthony (#14) 11.0 25 0.4 19 76.0 %
999999 Elizabeth (#15) -0.5 8 0.0 68 62.5 %
999993 Christina (#16) 9.1 22 0.4 21 68.2 %
999996 Brittany (#17) 4.3 21 0.2 22 76.2 %
1000002 Haley (#18) -6.0 7 -0.9 81 57.1 %
999991 Alexandra (#19) 10.0 30 0.3 16 80.0 %
999992 Alexander (#20) 9.0 40 0.2 12 77.5 %
999990 Justin (#21) 15.2 59 0.3 8 61.0 %
1000004 Joshua (#22) -5.8 16 -0.4 35 75.0 %
999996 Maria (#23) 5.0 16 0.3 29 68.8 %
999998 Nicholas (#24) 1.6 18 0.1 23 55.6 %
1000002 Chelsea (#25) -5.0 9 -0.6 67 66.7 %
1000003 Kimberly (#26) -6.0 14 -0.4 40 71.4 %
999998 Jose (#27) 2.1 22 0.1 22 72.7 %
1000002 Cody (#28) -4.8 10 -0.5 48 70.0 %
1000000 David (#29) -1.5 9 -0.1 51 66.7 %
1000004 Dylan (#30) -8.4 7 -1.1 68 57.1 %
999996 Aaron (#31) 5.1 69 0.1 7 66.7 %
1000005 Ashley (#32) -9.8 16 -0.6 31 62.5 %
1000005 Erin (#33) -8.7 7 -1.3 70 71.4 %
999996 Adam (#34) 4.5 50 0.1 9 74.0 %
1000005 Alexis (#35) -8.4 23 -0.4 22 73.9 %
1000005 Michael (#36) -7.6 11 -0.7 41 72.7 %
999998 Andrew (#37) 2.1 42 0.1 11 69.1 %
1000008 Courtney (#38) -13.6 9 -1.6 58 66.7 %
1000008 Austin (#39) -13.8 12 -1.2 43 66.7 %
1000008 Mark (#40) -14.3 8 -1.8 59 62.5 %
1000006 Christopher (#41) -11.2 14 -0.8 33 64.3 %
1000006 Allison (#42) -9.2 17 -0.5 31 76.5 %
1000009 Kyle (#43) -14.2 7 -2.0 83 71.4 %
1000010 Daniel (#44) -16.4 6 -2.7 102 66.7 %
999999 Jessica (#45) 0.0 61 0.0 7 52.5 %
1000004 Rebecca (#46) -7.9 7 -1.1 63 57.1 %
1000010 Mary (#47) -20.3 9 -2.2 61 55.6 %
1000014 Joseph (#48) -20.7 13 -1.6 38 69.2 %
1000009 Cameron (#49) -18.4 11 -1.6 44 54.6 %
1000014 Benjamin (#50) -21.2 10 -2.1 59 70.0 %
1000008 Michelle (#51) -15.4 7 -2.1 67 57.1 %
1000011 Kevin (#52) -19.8 10 -2.0 49 60.0 %
1000007 Amber (#53) -10.7 47 -0.2 10 70.2 %
1000007 Nicole (#54) -12.5 10 -1.2 44 70.0 %
1000017 Juan (#55) -20.8 7 -3.0 83 85.7 %
1000013 Alyssa (#56) -22.5 11 -2.0 54 63.6 %
1000007 Kaitlyn (#57) -12.7 40 -0.3 11 62.5 %
1000012 Abigail (#58) -17.4 54 -0.3 9 75.9 %
1000005 John (#59) -10.1 46 -0.2 9 60.9 %
1000006 Laura (#60) -11.2 39 -0.3 12 64.1 %
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