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 "Philip Morris International (PM)"

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

Find The Lastest Buy Signals for PM Below.



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Algorithms Results since Jan/2010


  to  
Sort Factor Algorithm % Result # Trades % Result/Trade Days/Trade Hit % Detailed View
999979 Juan (#1) 22.5 13 1.7 36 92.3 %
999983 Kyle (#2) 19.3 12 1.6 40 83.3 %
999983 Amanda (#3) 19.4 14 1.4 36 85.7 %
999986 Christian (#4) 15.0 8 1.9 64 87.5 %
999986 Matthew (#5) 14.7 8 1.9 59 87.5 %
999986 Brandon (#6) 15.5 9 1.7 57 88.9 %
999988 Nathan (#7) 13.0 7 1.9 67 85.7 %
999991 Megan (#8) 12.2 23 0.5 15 69.6 %
999991 Lauren (#9) 11.6 26 0.5 14 65.4 %
999992 Benjamin (#10) 10.3 12 0.8 42 75.0 %
999993 Daniel (#11) 8.4 7 1.1 71 71.4 %
999993 Alyssa (#12) 8.1 13 0.6 32 76.9 %
999992 Chelsea (#13) 8.9 10 0.9 50 80.0 %
999994 Morgan (#14) 8.0 6 1.3 81 66.7 %
999994 Madison (#15) 6.9 17 0.4 22 70.6 %
999995 Erin (#16) 7.1 7 1.0 70 57.1 %
999995 Christina (#17) 4.7 18 0.3 22 77.8 %
999996 Mary (#18) 4.9 7 0.7 70 57.1 %
999996 Alexandra (#19) 3.9 24 0.2 16 75.0 %
999996 Anthony (#20) 4.3 22 0.2 18 72.7 %
999996 Allison (#21) 4.0 15 0.3 27 80.0 %
999996 Elizabeth (#22) 4.2 7 0.6 70 71.4 %
999997 Alexis (#23) 2.7 23 0.1 18 73.9 %
999997 Ashley (#24) 2.7 16 0.2 25 81.3 %
999997 Joshua (#25) 2.4 9 0.2 56 77.8 %
999997 Kimberly (#26) 2.8 8 0.4 63 75.0 %
999997 Emily (#27) 3.1 6 0.5 83 66.7 %
999998 Austin (#28) 2.0 12 0.2 34 75.0 %
999998 Brittany (#29) 1.5 20 0.1 20 75.0 %
999998 Dylan (#30) 2.0 7 0.3 61 57.1 %
999998 Brianna (#31) 1.4 20 0.1 19 75.0 %
999998 Laura (#32) 1.1 33 0.0 11 66.7 %
999998 Michael (#33) 0.9 10 0.1 36 70.0 %
999998 Courtney (#34) 0.7 7 0.1 70 57.1 %
999999 Rebecca (#35) -0.4 8 0.0 46 62.5 %
1000000 David (#36) -1.0 8 -0.1 48 62.5 %
999999 Kelsey (#37) -0.3 13 0.0 29 69.2 %
1000001 Kayla (#38) -2.7 18 -0.2 21 55.6 %
1000000 Anna (#39) -2.3 23 -0.1 17 60.9 %
1000000 Melissa (#40) -2.5 15 -0.1 26 66.7 %
1000000 Jose (#41) -1.5 18 -0.1 21 66.7 %
1000000 Mark (#42) -2.1 9 -0.2 47 66.7 %
1000000 Christopher (#43) -1.5 13 -0.2 30 69.2 %
1000000 Cody (#44) -2.4 9 -0.2 48 66.7 %
1000001 Jordan (#45) -3.0 20 -0.2 19 60.0 %
1000001 Charles (#46) -3.0 9 -0.3 49 66.7 %
1000002 Abigail (#47) -4.2 46 -0.1 8 67.4 %
1000002 Adam (#48) -4.4 43 -0.1 9 65.1 %
1000002 Cameron (#49) -4.0 10 -0.4 40 70.0 %
1000001 Olivia (#50) -4.1 7 -0.6 59 57.1 %
1000002 Amber (#51) -5.1 37 -0.1 10 64.9 %
1000002 Brian (#52) -5.1 23 -0.2 16 56.5 %
1000003 Kevin (#53) -5.1 11 -0.5 39 72.7 %
1000002 Aaron (#54) -4.8 61 -0.1 7 65.6 %
1000004 Alexander (#55) -6.9 29 -0.2 13 65.5 %
1000003 Jesse (#56) -6.8 93 -0.1 5 62.4 %
1000003 Andrew (#57) -5.9 33 -0.2 12 66.7 %
1000003 Jonathan (#58) -7.2 28 -0.3 14 53.6 %
1000004 Joseph (#59) -7.9 12 -0.7 37 66.7 %
1000004 Kaitlyn (#60) -8.9 34 -0.3 11 55.9 %
1000005 Jessica (#61) -10.1 56 -0.2 7 55.4 %
1000008 John (#62) -16.8 36 -0.5 10 52.8 %
1000010 Justin (#63) -20.4 56 -0.4 7 55.4 %
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