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
999943 Nicholas (#1) 70.8 19 3.7 20 79.0 %
999969 David (#2) 40.4 12 3.3 40 75.0 %
999964 Nicole (#3) 41.0 13 3.2 35 84.6 %
999964 Kelsey (#4) 41.5 19 2.2 25 84.2 %
999969 Christina (#5) 40.5 22 1.9 20 72.7 %
999964 Megan (#6) 48.7 32 1.5 14 71.9 %
999950 Nathan (#7) 49.0 6 8.2 81 100.0 %
999968 Kayla (#8) 42.5 28 1.5 15 75.0 %
999974 Madison (#9) 35.4 24 1.5 18 70.8 %
999948 Rachel (#10) 50.6 6 8.5 82 100.0 %
999979 Maria (#11) 29.3 16 1.8 30 68.8 %
999979 Michael (#12) 27.5 14 2.0 34 71.4 %
999957 Matthew (#13) 42.0 6 7.0 81 100.0 %
999983 Melissa (#14) 27.2 22 1.2 19 59.1 %
999971 Christian (#15) 32.8 7 4.7 67 85.7 %
999987 Christopher (#16) 18.2 16 1.1 30 68.8 %
999975 Kyle (#17) 28.8 6 4.8 80 83.3 %
999978 Brandon (#18) 28.7 7 4.1 67 71.4 %
999983 Patrick (#19) 18.9 6 3.2 76 83.3 %
999980 Amanda (#20) 25.2 9 2.8 48 77.8 %
999986 Morgan (#21) 15.3 7 2.1 67 85.7 %
999982 Emily (#22) 20.4 7 2.9 68 85.7 %
999990 Brianna (#23) 13.4 27 0.5 15 70.4 %
1000000 Cody (#24) -1.2 11 -0.1 42 72.7 %
999999 Jose (#25) 0.4 18 0.0 24 66.7 %
999989 Mark (#26) 12.1 11 1.1 43 81.8 %
999995 Rebecca (#27) 5.2 11 0.5 42 72.7 %
999990 Anna (#28) 12.4 34 0.4 12 73.5 %
999983 Jesse (#29) 23.6 136 0.2 5 68.4 %
999993 Jordan (#30) 7.9 33 0.2 13 72.7 %
999992 Richard (#31) 10.0 6 1.7 80 66.7 %
999993 Daniel (#32) 6.9 6 1.2 78 83.3 %
1000001 Brittany (#33) -3.5 16 -0.2 28 62.5 %
999996 Alexander (#34) 3.9 39 0.1 11 74.4 %
1000004 Ashley (#35) -8.2 16 -0.5 29 62.5 %
999992 Elizabeth (#36) 8.0 6 1.3 77 83.3 %
999999 Juan (#37) 0.0 7 0.0 68 85.7 %
999992 Olivia (#38) 9.9 6 1.7 79 66.7 %
999994 Michelle (#39) 6.4 6 1.0 78 83.3 %
1000006 Anthony (#40) -11.2 19 -0.6 21 63.2 %
1000004 Lauren (#41) -6.8 32 -0.2 14 65.6 %
1000006 Joseph (#42) -8.6 16 -0.6 30 81.3 %
999989 Aaron (#43) 14.2 79 0.2 6 73.4 %
999999 Adam (#44) 0.2 52 0.0 9 76.9 %
1000000 Mary (#45) -1.3 7 -0.1 67 85.7 %
999996 Erin (#46) 2.7 6 0.5 78 83.3 %
1000002 Andrew (#47) -5.4 39 -0.1 11 69.2 %
1000007 Kevin (#48) -10.2 12 -0.8 39 83.3 %
1000004 Brian (#49) -7.3 30 -0.2 14 66.7 %
1000010 Cameron (#50) -17.7 13 -1.4 35 61.5 %
1000011 Alexis (#51) -19.3 17 -1.1 27 64.7 %
1000004 Katherine (#52) -6.9 35 -0.2 13 68.6 %
1000011 Chelsea (#53) -15.8 8 -2.0 59 75.0 %
1000002 Jonathan (#54) -4.1 40 -0.1 11 65.0 %
1000010 Courtney (#55) -13.8 9 -1.6 50 77.8 %
1000004 Amber (#56) -7.6 49 -0.2 10 67.4 %
1000016 Alexandra (#57) -23.5 24 -1.0 17 70.8 %
1000013 Dylan (#58) -19.2 7 -2.7 66 71.4 %
1000001 Abigail (#59) -2.7 58 -0.1 8 75.9 %
1000003 Justin (#60) -7.2 75 -0.1 7 64.0 %
1000017 Austin (#61) -21.7 12 -1.8 38 83.3 %
1000015 Joshua (#62) -19.7 9 -2.2 53 77.8 %
1000013 Kimberly (#63) -18.7 7 -2.7 67 71.4 %
1000017 Allison (#64) -23.9 12 -2.0 38 75.0 %
1000017 Charles (#65) -22.6 9 -2.6 50 77.8 %
1000017 Benjamin (#66) -23.5 9 -2.6 51 77.8 %
1000018 Alyssa (#67) -25.3 9 -2.8 51 77.8 %
1000002 Jessica (#68) -4.7 74 -0.1 7 66.2 %
1000010 Kaitlyn (#69) -15.9 46 -0.4 10 69.6 %
1000009 John (#70) -15.0 49 -0.3 10 65.3 %
1000013 Laura (#71) -20.7 47 -0.5 10 66.0 %
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