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
999973 Jason (#1) 25.8 7 3.7 86 100.0 %
999975 Juan (#2) 26.2 15 1.7 35 93.3 %
999984 Megan (#3) 22.7 33 0.7 16 66.7 %
999979 Amanda (#4) 23.1 16 1.4 34 87.5 %
999984 Lauren (#5) 23.8 36 0.7 16 63.9 %
999980 Kelsey (#6) 23.2 22 1.1 25 81.8 %
999979 Allison (#7) 22.9 25 0.9 22 88.0 %
999984 Madison (#8) 22.3 26 0.9 21 69.2 %
999980 Kyle (#9) 22.3 14 1.6 37 85.7 %
999979 Nathan (#10) 22.1 9 2.4 58 88.9 %
999982 Jose (#11) 22.7 29 0.8 19 75.9 %
999981 Morgan (#12) 22.7 9 2.6 66 77.8 %
999979 Brandon (#13) 21.8 11 2.0 49 90.9 %
999982 Dylan (#14) 22.4 14 1.6 40 78.6 %
999983 Rebecca (#15) 22.6 13 1.8 41 69.2 %
999982 Erin (#16) 21.5 12 1.8 51 75.0 %
999980 Christian (#17) 20.7 10 2.1 54 90.0 %
999986 Michelle (#18) 20.7 14 1.5 40 64.3 %
999981 Eric (#19) 22.0 6 3.7 91 83.3 %
999981 Matthew (#20) 20.5 10 2.0 52 90.0 %
999983 Anthony (#21) 20.1 35 0.6 16 80.0 %
999981 Ashley (#22) 20.7 26 0.8 21 84.6 %
999984 Maria (#23) 20.7 17 1.2 31 70.6 %
999983 Benjamin (#24) 20.0 16 1.3 36 81.3 %
999982 Kimberly (#25) 20.1 14 1.4 44 85.7 %
999982 Alyssa (#26) 20.2 20 1.0 25 85.0 %
999984 Alexis (#27) 19.4 34 0.6 16 79.4 %
999986 Nicholas (#28) 19.8 20 1.0 29 65.0 %
999984 Chelsea (#29) 18.4 14 1.3 42 85.7 %
999983 Rachel (#30) 19.2 7 2.7 76 85.7 %
999984 Danielle (#31) 18.0 7 2.6 78 85.7 %
999985 Christina (#32) 17.1 26 0.7 21 80.8 %
999984 Michael (#33) 18.8 15 1.3 34 80.0 %
999986 Nicole (#34) 19.4 13 1.5 39 69.2 %
999988 Mary (#35) 17.0 11 1.6 54 63.6 %
999986 Samuel (#36) 16.4 6 2.7 100 83.3 %
999985 Austin (#37) 17.1 19 0.9 28 84.2 %
999985 Elizabeth (#38) 16.5 12 1.4 50 83.3 %
999986 Kevin (#39) 16.2 19 0.8 31 84.2 %
999986 Daniel (#40) 15.6 10 1.6 58 80.0 %
999986 Joshua (#41) 14.9 15 1.0 41 86.7 %
999986 Brittany (#42) 15.6 28 0.6 20 78.6 %
999986 Christopher (#43) 16.1 19 0.8 28 79.0 %
999987 Mark (#44) 15.0 17 0.9 34 82.4 %
999987 David (#45) 14.9 14 1.1 38 78.6 %
999988 Courtney (#46) 14.1 12 1.2 51 75.0 %
999989 Brianna (#47) 12.6 30 0.4 19 73.3 %
999987 Cameron (#48) 14.0 17 0.8 32 82.4 %
999989 Alexandra (#49) 13.2 38 0.3 15 76.3 %
999989 Cody (#50) 13.1 15 0.9 38 80.0 %
999990 Joseph (#51) 11.4 24 0.5 25 83.3 %
999993 Kayla (#52) 10.1 28 0.4 20 60.7 %
999992 Haley (#53) 9.5 6 1.7 102 66.7 %
999992 Robert (#54) 10.1 6 1.7 104 66.7 %
999993 Melissa (#55) 9.4 22 0.4 26 68.2 %
999992 Charles (#56) 9.0 14 0.6 40 78.6 %
999993 Patrick (#57) 8.6 7 1.3 85 71.4 %
999995 Katherine (#58) 7.6 37 0.2 16 54.1 %
999994 Jacob (#59) 7.2 6 1.2 97 66.7 %
999994 Emily (#60) 7.4 8 0.9 72 75.0 %
999994 Olivia (#61) 6.9 12 0.6 47 75.0 %
999996 Laura (#62) 4.9 49 0.1 11 61.2 %
999997 Jesse (#63) 4.4 141 0.0 4 61.7 %
999998 Anna (#64) 1.6 34 0.1 17 61.8 %
1000000 Brian (#65) -0.9 34 -0.0 16 58.8 %
999999 Jordan (#66) -0.5 29 0.0 19 58.6 %
1000001 Kaitlyn (#67) -2.9 50 -0.1 11 56.0 %
1000002 Alexander (#68) -5.2 43 -0.1 13 65.1 %
1000002 Aaron (#69) -4.8 86 -0.1 7 65.1 %
1000002 Adam (#70) -4.6 57 -0.1 10 63.2 %
1000003 Amber (#71) -5.7 51 -0.1 11 62.8 %
1000003 Andrew (#72) -6.5 46 -0.2 12 63.0 %
1000004 Abigail (#73) -7.3 66 -0.1 9 66.7 %
1000003 Jonathan (#74) -7.7 41 -0.2 14 53.7 %
1000006 Jessica (#75) -10.7 80 -0.1 7 60.0 %
1000006 John (#76) -11.6 54 -0.2 10 57.4 %
1000013 Justin (#77) -25.7 80 -0.3 7 55.0 %
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