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 "West Pharmaceutical Services (WST)"

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

Find The Lastest Buy Signals for WST Below.



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Algorithms Results since Jan/2010


  to  
Sort Factor Algorithm % Result # Trades % Result/Trade Days/Trade Hit % Detailed View
999918 Samantha (#1) 94.8 7 13.6 63 85.7 %
999947 Samuel (#2) 61.7 6 10.3 82 83.3 %
999965 Jonathan (#3) 46.7 40 1.2 12 72.5 %
999969 Katherine (#4) 40.6 36 1.1 13 72.2 %
999975 Robert (#5) 38.9 8 4.9 61 62.5 %
999977 Brianna (#6) 31.0 27 1.2 17 70.4 %
999976 Alexandra (#7) 29.8 33 0.9 14 75.8 %
999968 Jessica (#8) 44.6 82 0.6 7 69.5 %
999975 Jordan (#9) 32.2 34 0.9 14 76.5 %
999978 Kimberly (#10) 25.4 13 1.9 35 84.6 %
999976 Lauren (#11) 32.3 30 1.1 17 73.3 %
999981 Kayla (#12) 25.1 27 0.9 17 70.4 %
999986 Joshua (#13) 14.6 13 1.2 35 84.6 %
999984 Christina (#14) 21.5 22 1.0 21 72.7 %
999969 Justin (#15) 47.5 82 0.6 7 63.4 %
999983 Megan (#16) 24.6 31 0.8 16 64.5 %
999980 Richard (#17) 31.1 8 3.9 55 62.5 %
999984 Anthony (#18) 20.1 28 0.7 17 75.0 %
999975 Jesse (#19) 37.8 135 0.3 5 63.0 %
999977 Brian (#20) 29.5 34 0.9 14 73.5 %
999985 Patrick (#21) 17.7 9 2.0 51 77.8 %
999984 Dylan (#22) 17.5 11 1.6 43 81.8 %
999988 Haley (#23) 15.5 8 1.9 57 75.0 %
999975 John (#24) 33.3 60 0.6 9 73.3 %
999977 Laura (#25) 32.7 49 0.7 10 65.3 %
999986 Melissa (#26) 17.9 19 1.0 24 73.7 %
999986 Elizabeth (#27) 16.9 8 2.1 57 75.0 %
999984 Joseph (#28) 17.3 16 1.1 29 87.5 %
999981 Alexander (#29) 24.7 40 0.6 12 72.5 %
999980 Andrew (#30) 24.7 43 0.6 11 76.7 %
999989 Brittany (#31) 14.1 20 0.7 23 70.0 %
999990 Rebecca (#32) 14.4 11 1.3 38 63.6 %
999991 Morgan (#33) 10.3 9 1.1 52 77.8 %
999986 Anna (#34) 17.9 34 0.5 14 70.6 %
999987 Kevin (#35) 14.3 15 0.9 31 86.7 %
999991 Mary (#36) 11.9 10 1.2 47 70.0 %
999982 Juan (#37) 19.2 10 1.9 41 90.0 %
999990 Erin (#38) 13.5 7 1.9 67 71.4 %
999994 Michelle (#39) 7.0 10 0.7 45 70.0 %
999990 Christopher (#40) 10.5 16 0.6 28 87.5 %
999995 Maria (#41) 6.5 16 0.4 28 68.8 %
999991 Madison (#42) 9.5 21 0.5 22 76.2 %
999990 Kelsey (#43) 12.4 22 0.6 21 77.3 %
999985 Jacob (#44) 21.4 6 3.5 73 66.7 %
999987 Adam (#45) 16.2 49 0.3 10 75.5 %
999987 Kaitlyn (#46) 16.6 51 0.3 10 70.6 %
999996 Mark (#47) 4.3 10 0.4 46 80.0 %
999986 Amber (#48) 16.7 53 0.3 9 75.5 %
1000000 Courtney (#49) -1.7 8 -0.3 58 75.0 %
999990 Matthew (#50) 10.9 6 1.8 70 83.3 %
999997 Ashley (#51) 2.6 22 0.1 21 77.3 %
1000002 Cody (#52) -4.4 11 -0.4 42 72.7 %
999992 Kyle (#53) 8.3 8 1.0 51 87.5 %
999997 Emily (#54) 3.2 6 0.5 70 66.7 %
1000000 David (#55) -0.9 13 -0.1 35 76.9 %
999998 Nicholas (#56) 1.3 21 0.1 22 52.4 %
1000000 Cameron (#57) -1.2 15 -0.1 31 80.0 %
1000002 Alexis (#58) -4.1 23 -0.2 20 73.9 %
999997 Jose (#59) 3.2 26 0.1 18 76.9 %
1000006 Charles (#60) -10.2 9 -1.1 51 66.7 %
999999 Daniel (#61) 0.0 6 0.0 70 66.7 %
1000005 Michael (#62) -11.1 14 -0.8 33 57.1 %
999996 Aaron (#63) 3.7 86 0.1 6 66.3 %
1000003 Olivia (#64) -5.1 7 -0.7 61 71.4 %
1000008 Austin (#65) -11.1 11 -1.0 43 81.8 %
1000004 Nicole (#66) -9.9 11 -0.9 39 54.6 %
1000005 Chelsea (#67) -9.0 7 -1.3 60 71.4 %
1000010 Alyssa (#68) -13.1 12 -1.1 35 83.3 %
1000000 Abigail (#69) -0.7 65 -0.0 8 70.8 %
1000012 Benjamin (#70) -17.4 8 -2.1 52 75.0 %
1000010 Sarah (#71) -15.2 7 -2.1 61 71.4 %
1000016 Allison (#72) -25.5 14 -1.9 33 64.3 %
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