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
999982 Jessica (#1) 25.4 93 0.3 7 68.8 %
999984 Justin (#2) 22.2 87 0.3 7 70.1 %
999982 Rachel (#3) 19.6 7 2.9 61 85.7 %
999987 Morgan (#4) 16.5 8 2.0 65 75.0 %
999985 Daniel (#5) 17.0 12 1.4 40 83.3 %
999986 Nathan (#6) 15.2 7 2.1 62 85.7 %
999986 Heather (#7) 14.6 7 2.1 55 85.7 %
999989 Haley (#8) 13.0 8 1.6 61 75.0 %
999988 Chelsea (#9) 12.7 12 1.1 41 83.3 %
999990 Joshua (#10) 11.9 16 0.8 32 75.0 %
999989 Benjamin (#11) 11.9 13 0.9 37 84.6 %
999989 Robert (#12) 12.2 6 2.0 88 83.3 %
999988 Matthew (#13) 11.7 9 1.3 48 88.9 %
999988 Eric (#14) 12.8 6 2.2 67 83.3 %
999990 Jesse (#15) 12.6 148 0.1 5 65.5 %
999989 Elizabeth (#16) 12.6 9 1.4 55 77.8 %
999991 Kaitlyn (#17) 10.7 51 0.2 10 70.6 %
999992 Mary (#18) 10.4 10 1.0 51 70.0 %
999991 Kimberly (#19) 10.1 13 0.8 39 84.6 %
999991 Jordan (#20) 10.1 34 0.3 15 82.4 %
999991 Courtney (#21) 10.0 9 1.1 54 77.8 %
999992 John (#22) 9.7 60 0.2 9 75.0 %
999992 Kevin (#23) 9.0 15 0.6 35 73.3 %
999992 Erin (#24) 9.3 8 1.1 62 75.0 %
999990 Alyssa (#25) 10.2 14 0.7 35 85.7 %
999993 Patrick (#26) 9.8 7 1.4 73 57.1 %
999992 Jonathan (#27) 9.3 44 0.2 12 72.7 %
999991 Allison (#28) 8.6 20 0.5 25 85.0 %
999993 Emily (#29) 8.1 7 1.1 65 71.4 %
999994 Samantha (#30) 8.2 6 1.3 80 66.7 %
999992 Jacob (#31) 9.0 6 1.5 80 83.3 %
999992 Kyle (#32) 8.8 11 0.8 40 81.8 %
999992 Christian (#33) 7.6 9 0.9 47 88.9 %
999994 Jose (#34) 7.2 27 0.3 19 74.1 %
999994 Amanda (#35) 6.1 12 0.5 37 91.7 %
999996 Mark (#36) 5.4 13 0.4 40 69.2 %
999994 Juan (#37) 5.7 12 0.5 36 83.3 %
999995 Cody (#38) 5.9 15 0.4 33 73.3 %
999995 Megan (#39) 5.6 32 0.2 16 59.4 %
999994 Brandon (#40) 5.7 10 0.6 43 90.0 %
999993 Danielle (#41) 6.6 7 1.0 59 85.7 %
999995 Kayla (#42) 5.3 28 0.2 18 75.0 %
999996 Olivia (#43) 5.3 9 0.6 56 55.6 %
999996 Aaron (#44) 4.0 90 0.0 7 68.9 %
999996 Nicholas (#45) 4.4 22 0.2 23 68.2 %
999996 Charles (#46) 3.7 11 0.4 45 81.8 %
999997 Laura (#47) 2.9 51 0.1 11 64.7 %
999996 Dylan (#48) 4.1 11 0.4 45 63.6 %
999998 Katherine (#49) 2.4 35 0.1 15 65.7 %
999996 Madison (#50) 3.6 24 0.2 22 75.0 %
999997 Brianna (#51) 2.7 29 0.1 18 72.4 %
999997 Austin (#52) 2.6 14 0.2 35 78.6 %
999997 Brittany (#53) 2.0 22 0.1 23 77.3 %
1000000 Abigail (#54) -0.7 73 -0.0 8 71.2 %
999998 Maria (#55) 1.6 17 0.1 30 70.6 %
1000000 Michelle (#56) -0.7 10 -0.1 52 60.0 %
1000000 Alexis (#57) -1.1 25 -0.0 20 80.0 %
1000000 Lauren (#58) -1.6 31 -0.1 16 54.8 %
1000000 Joseph (#59) -1.8 16 -0.1 32 62.5 %
1000001 Christina (#60) -2.5 22 -0.1 23 77.3 %
1000002 Alexandra (#61) -3.8 33 -0.1 16 75.8 %
1000002 Christopher (#62) -4.3 16 -0.3 32 68.8 %
1000002 Amber (#63) -4.4 57 -0.1 9 71.9 %
1000002 Anna (#64) -3.8 33 -0.1 15 72.7 %
1000002 Anthony (#65) -4.1 27 -0.2 19 74.1 %
1000003 Cameron (#66) -5.0 15 -0.3 33 73.3 %
1000003 Ashley (#67) -5.5 20 -0.3 25 75.0 %
1000004 Brian (#68) -6.8 33 -0.2 15 69.7 %
1000003 Kelsey (#69) -5.4 21 -0.2 25 71.4 %
1000003 David (#70) -6.8 13 -0.5 38 61.5 %
1000004 Andrew (#71) -8.3 39 -0.2 13 61.5 %
1000006 Alexander (#72) -10.3 38 -0.3 13 71.1 %
1000007 Adam (#73) -12.2 51 -0.2 10 68.6 %
1000005 Melissa (#74) -12.1 19 -0.6 27 52.6 %
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