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 "Procter & Gamble Co/the (PG)"

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

Find The Lastest Buy Signals for PG Below.



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Algorithms Results since Jan/2010


  to  
Sort Factor Algorithm % Result # Trades % Result/Trade Days/Trade Hit % Detailed View
999978 Jesse (#1) 31.8 245 0.1 5 66.5 %
999978 Jessica (#2) 29.6 147 0.2 7 69.4 %
999979 Justin (#3) 29.6 143 0.2 7 67.8 %
999978 Eric (#4) 26.4 11 2.4 61 81.8 %
999983 Laura (#5) 24.5 92 0.3 10 63.0 %
999979 Rachel (#6) 24.7 11 2.3 69 81.8 %
999980 Jonathan (#7) 25.1 76 0.3 11 75.0 %
999979 Jordan (#8) 24.4 57 0.4 14 82.5 %
999981 Heather (#9) 21.8 11 2.0 59 81.8 %
999982 Danielle (#10) 20.4 13 1.5 53 84.6 %
999984 Daniel (#11) 20.4 17 1.2 46 76.5 %
999985 Ryan (#12) 19.4 7 2.7 108 71.4 %
999985 Joshua (#13) 19.3 28 0.7 29 75.0 %
999984 Jason (#14) 18.9 9 2.1 82 77.8 %
999985 Nicholas (#15) 19.0 33 0.6 23 72.7 %
999985 Morgan (#16) 17.9 14 1.3 58 78.6 %
999987 Aaron (#17) 17.2 151 0.1 7 68.2 %
999985 Sara (#18) 15.9 7 2.3 106 85.7 %
999988 Katherine (#19) 15.9 62 0.3 14 71.0 %
999984 Brandon (#20) 16.5 17 1.0 42 88.2 %
999984 Christian (#21) 17.4 15 1.1 47 86.7 %
999988 John (#22) 15.3 102 0.2 9 72.6 %
999986 Amanda (#23) 15.5 19 0.8 38 89.5 %
999986 Chelsea (#24) 16.2 19 0.8 42 79.0 %
999987 Matthew (#25) 14.4 15 0.9 50 86.7 %
999986 Benjamin (#26) 16.0 22 0.7 36 81.8 %
999988 Mary (#27) 15.4 17 0.9 47 70.6 %
999990 Sarah (#28) 14.7 8 1.9 105 62.5 %
999986 Alyssa (#29) 15.6 24 0.7 33 83.3 %
999990 Shelby (#30) 13.4 6 2.2 118 66.7 %
999989 Kaitlyn (#31) 13.6 89 0.2 10 69.7 %
999987 Allison (#32) 14.0 31 0.5 24 83.9 %
999989 Elizabeth (#33) 14.4 15 0.9 53 73.3 %
999990 Samantha (#34) 13.5 10 1.3 76 70.0 %
999987 Haley (#35) 14.6 13 1.2 60 76.9 %
999988 Samuel (#36) 13.9 8 1.8 103 75.0 %
999988 Nathan (#37) 13.0 11 1.2 68 81.8 %
999988 Kimberly (#38) 13.0 21 0.6 38 81.0 %
999989 Abigail (#39) 13.2 125 0.1 8 73.6 %
999991 Megan (#40) 11.8 53 0.2 16 66.0 %
999988 Jose (#41) 13.7 43 0.3 19 79.1 %
999989 Courtney (#42) 13.1 14 0.9 51 78.6 %
999991 Jasmine (#43) 12.0 6 2.0 99 66.7 %
999990 Kevin (#44) 11.0 22 0.5 34 77.3 %
999991 Kyle (#45) 10.4 17 0.6 45 82.4 %
999991 Cody (#46) 10.3 22 0.5 34 77.3 %
999992 Amber (#47) 9.3 101 0.1 9 73.3 %
999993 Lauren (#48) 8.7 54 0.2 15 64.8 %
999992 Robert (#49) 8.6 9 1.0 91 77.8 %
999992 Erin (#50) 10.2 12 0.8 59 75.0 %
999992 Rebecca (#51) 10.5 15 0.7 51 60.0 %
999992 James (#52) 8.8 9 1.0 84 77.8 %
999992 Austin (#53) 8.7 23 0.4 32 82.6 %
999992 Kayla (#54) 8.9 42 0.2 19 76.2 %
999992 Juan (#55) 7.9 22 0.4 35 86.4 %
999994 Olivia (#56) 10.2 13 0.8 56 53.9 %
999994 Andrew (#57) 6.7 78 0.1 11 69.2 %
999994 Brianna (#58) 5.7 47 0.1 17 76.6 %
999994 Charles (#59) 6.0 18 0.3 40 83.3 %
999995 Brian (#60) 5.2 58 0.1 14 75.9 %
999995 Jacob (#61) 4.6 10 0.5 78 80.0 %
999996 Patrick (#62) 4.8 11 0.5 72 63.6 %
999995 Alexandra (#63) 4.6 55 0.1 15 78.2 %
999996 Brittany (#64) 4.5 35 0.1 22 80.0 %
999998 Emily (#65) 2.3 11 0.2 68 63.6 %
999996 Joseph (#66) 4.3 24 0.2 31 70.8 %
999997 Anna (#67) 2.7 59 0.1 14 78.0 %
999997 Hannah (#68) 1.6 9 0.2 84 77.8 %
999998 David (#69) 2.5 21 0.1 36 71.4 %
999998 Dylan (#70) 1.1 15 0.1 48 66.7 %
999998 Mark (#71) 1.0 17 0.1 43 70.6 %
999999 Alexander (#72) 0.4 71 0.0 12 77.5 %
999997 Alexis (#73) 1.6 37 0.1 21 81.1 %
999999 Adam (#74) 0.3 95 0.0 9 72.6 %
999999 Michelle (#75) -0.1 14 0.0 54 64.3 %
999999 Anthony (#76) -0.4 45 0.0 18 80.0 %
1000000 Cameron (#77) -0.9 23 -0.0 33 78.3 %
1000000 Christina (#78) -1.1 37 -0.0 21 78.4 %
1000000 Michael (#79) -0.6 18 -0.1 44 55.6 %
1000002 Christopher (#80) -3.7 24 -0.2 32 75.0 %
1000001 Madison (#81) -2.6 33 -0.1 24 72.7 %
1000002 Maria (#82) -4.3 25 -0.2 31 76.0 %
1000002 Nicole (#83) -4.5 16 -0.3 49 56.3 %
1000002 Ashley (#84) -4.5 29 -0.1 26 75.9 %
1000003 Kelsey (#85) -4.7 30 -0.2 27 73.3 %
1000003 Melissa (#86) -6.5 27 -0.2 29 63.0 %
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