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
999953 Aaron (#1) 61.4 128 0.5 6 75.8 %
999952 Alexander (#2) 55.4 65 0.9 9 86.2 %
999956 Kaitlyn (#3) 58.1 64 0.9 11 75.0 %
999955 Laura (#4) 63.1 70 0.9 10 70.0 %
999957 Jessica (#5) 58.2 114 0.5 7 72.8 %
999959 Justin (#6) 54.8 118 0.5 7 72.9 %
999960 Amber (#7) 51.3 78 0.7 8 76.9 %
999961 Katherine (#8) 50.4 52 1.0 12 76.9 %
999961 John (#9) 49.0 78 0.6 9 76.9 %
999962 Adam (#10) 48.1 75 0.6 8 77.3 %
999966 Andrew (#11) 45.0 64 0.7 10 73.4 %
999962 Jordan (#12) 45.3 50 0.9 12 82.0 %
999964 Abigail (#13) 44.6 91 0.5 7 76.9 %
999968 Jonathan (#14) 41.4 62 0.7 10 75.8 %
999968 Brian (#15) 40.2 49 0.8 12 77.6 %
999968 Anna (#16) 38.2 54 0.7 11 81.5 %
999971 Lauren (#17) 37.0 44 0.8 14 75.0 %
999970 Joseph (#18) 36.2 27 1.3 18 81.5 %
999972 Brianna (#19) 32.8 41 0.8 14 82.9 %
999965 Eric (#20) 40.0 7 5.7 47 85.7 %
999972 Kayla (#21) 33.1 41 0.8 14 82.9 %
999965 Allison (#22) 36.5 32 1.1 14 93.8 %
999969 Cody (#23) 35.0 22 1.6 23 86.4 %
999969 Nicholas (#24) 37.1 25 1.5 22 80.0 %
999973 Alexandra (#25) 31.8 49 0.7 11 81.6 %
999972 Kevin (#26) 33.2 24 1.4 21 83.3 %
999969 Brandon (#27) 33.2 11 3.0 33 90.9 %
999968 Danielle (#28) 36.0 8 4.5 42 87.5 %
999971 Amanda (#29) 30.6 12 2.6 30 91.7 %
999976 Megan (#30) 29.7 42 0.7 14 76.2 %
999979 Christina (#31) 24.0 29 0.8 18 82.8 %
999975 Matthew (#32) 26.9 10 2.7 40 90.0 %
999980 Anthony (#33) 23.9 37 0.7 15 81.1 %
999976 Cameron (#34) 27.3 24 1.1 21 83.3 %
999973 Christian (#35) 29.0 10 2.9 35 90.0 %
999980 Jesse (#36) 30.7 199 0.2 4 62.8 %
999981 Christopher (#37) 22.0 21 1.1 25 81.0 %
999977 Austin (#38) 24.4 23 1.0 19 91.3 %
999981 David (#39) 22.6 19 1.2 28 79.0 %
999979 Alexis (#40) 22.6 34 0.7 15 85.3 %
999983 Melissa (#41) 20.6 23 0.9 24 73.9 %
999982 Mary (#42) 22.5 12 1.8 42 75.0 %
999984 Brittany (#43) 18.4 27 0.7 19 85.2 %
999981 Juan (#44) 20.2 11 1.8 38 90.9 %
999984 Dylan (#45) 19.1 14 1.4 32 78.6 %
999986 Jose (#46) 17.1 32 0.5 17 78.1 %
999983 Mark (#47) 18.9 19 1.0 29 84.2 %
999983 Erin (#48) 19.6 11 1.8 45 81.8 %
999983 Kyle (#49) 18.8 11 1.7 37 81.8 %
999985 Heather (#50) 17.3 6 2.8 55 83.3 %
999983 Alyssa (#51) 17.8 16 1.1 24 87.5 %
999984 Joshua (#52) 18.9 19 1.0 23 79.0 %
999984 Ashley (#53) 17.6 26 0.7 19 80.8 %
999983 Chelsea (#54) 17.2 12 1.4 32 91.7 %
999983 Daniel (#55) 18.2 8 2.3 45 87.5 %
999989 Kelsey (#56) 13.4 22 0.6 25 77.3 %
999990 Samantha (#57) 16.7 9 1.9 59 55.6 %
999990 Madison (#58) 12.6 31 0.4 19 71.0 %
999988 Courtney (#59) 14.1 10 1.4 39 80.0 %
999989 Michelle (#60) 13.8 14 1.0 40 71.4 %
999987 Charles (#61) 13.9 15 0.9 27 86.7 %
999987 Elizabeth (#62) 13.5 8 1.8 48 87.5 %
999988 Benjamin (#63) 13.4 12 1.1 32 83.3 %
999991 Michael (#64) 11.3 16 0.7 33 68.8 %
999987 Kimberly (#65) 14.2 14 1.0 31 85.7 %
999991 Richard (#66) 12.1 10 1.2 51 70.0 %
999993 Maria (#67) 8.3 20 0.4 27 80.0 %
999990 Jacob (#68) 10.6 6 1.8 68 83.3 %
999991 Olivia (#69) 12.9 12 1.1 45 58.3 %
999991 Hannah (#70) 9.9 6 1.7 66 83.3 %
999989 Morgan (#71) 12.7 9 1.4 57 77.8 %
999991 Haley (#72) 10.6 7 1.6 70 71.4 %
999993 Rebecca (#73) 9.8 13 0.8 41 61.5 %
999992 Emily (#74) 7.8 7 1.1 54 85.7 %
999998 Nicole (#75) 1.2 13 0.1 40 69.2 %
999998 Nathan (#76) 2.0 6 0.3 66 66.7 %
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