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
999940 Sara (#1) 68.4 8 8.5 71 87.5 %
999942 Jennifer (#2) 56.8 7 8.1 54 100.0 %
999946 Ryan (#3) 52.9 8 6.6 70 100.0 %
999947 Matthew (#4) 52.2 11 4.7 51 100.0 %
999947 Jasmine (#5) 52.2 6 8.7 74 100.0 %
999954 Danielle (#6) 50.2 10 5.0 45 90.0 %
999964 Aaron (#7) 46.6 129 0.4 6 75.2 %
999952 Jason (#8) 47.5 6 7.8 90 100.0 %
999951 Eric (#9) 48.1 7 6.9 64 100.0 %
999958 Amanda (#10) 42.9 19 2.3 26 94.7 %
999960 Christian (#11) 41.7 13 3.2 36 92.3 %
999959 Brandon (#12) 42.8 16 2.7 30 93.8 %
999961 Robert (#13) 37.7 8 4.8 81 100.0 %
999964 Emily (#14) 37.8 12 3.2 48 91.7 %
999960 Rachel (#15) 39.2 8 4.9 70 100.0 %
999963 Kyle (#16) 38.5 14 2.8 40 92.9 %
999962 Hannah (#17) 37.3 9 4.1 64 100.0 %
999962 Juan (#18) 38.6 16 2.4 35 93.8 %
999970 Jacob (#19) 35.1 11 3.2 55 81.8 %
999968 Richard (#20) 33.7 12 2.8 53 91.7 %
999976 Samantha (#21) 32.9 13 2.5 53 69.2 %
999964 Heather (#22) 35.2 7 5.0 65 100.0 %
999967 James (#23) 32.5 7 4.6 80 100.0 %
999974 Erin (#24) 33.2 13 2.5 49 76.9 %
999967 Samuel (#25) 32.2 7 4.6 96 100.0 %
999973 Mary (#26) 32.3 17 1.9 36 82.4 %
999976 Joseph (#27) 30.2 29 1.0 23 75.9 %
999975 Nathan (#28) 27.1 9 3.0 62 88.9 %
999976 Kaitlyn (#29) 32.6 70 0.5 10 70.0 %
999977 Alyssa (#30) 26.6 26 1.0 22 80.8 %
999981 Elizabeth (#31) 25.3 14 1.8 43 71.4 %
999980 Jessica (#32) 27.8 108 0.3 7 68.5 %
999981 Morgan (#33) 23.9 12 2.0 51 75.0 %
999979 Allison (#34) 24.4 37 0.7 17 83.8 %
999982 Joshua (#35) 22.4 23 1.0 27 78.3 %
999984 Rebecca (#36) 23.4 17 1.4 42 64.7 %
999979 Daniel (#37) 24.0 12 2.0 45 83.3 %
999984 Haley (#38) 22.2 10 2.2 62 70.0 %
999982 Patrick (#39) 22.2 9 2.4 70 77.8 %
999983 Benjamin (#40) 22.7 21 1.1 27 71.4 %
999983 Kevin (#41) 21.1 24 0.9 28 75.0 %
999984 Abigail (#42) 21.1 96 0.2 7 72.9 %
999984 Justin (#43) 25.3 107 0.2 7 61.7 %
999981 Chelsea (#44) 21.9 18 1.2 31 83.3 %
999986 Olivia (#45) 19.8 12 1.7 54 66.7 %
999983 Austin (#46) 20.1 30 0.7 21 80.0 %
999985 Kimberly (#47) 18.9 19 1.0 32 73.7 %
999985 Cody (#48) 18.5 25 0.7 26 76.0 %
999986 Mark (#49) 15.7 19 0.8 35 79.0 %
999985 John (#50) 18.6 77 0.3 9 72.7 %
999989 Dylan (#51) 15.8 16 1.0 40 62.5 %
999990 Michelle (#52) 13.2 13 1.0 51 69.2 %
999990 Sarah (#53) 13.2 6 2.2 111 66.7 %
999991 Jesse (#54) 12.5 189 0.1 4 61.9 %
999990 David (#55) 12.1 22 0.6 30 72.7 %
999991 Cameron (#56) 11.0 28 0.4 23 75.0 %
999992 Courtney (#57) 10.3 14 0.7 43 71.4 %
999992 Charles (#58) 9.2 19 0.5 32 73.7 %
999993 Nicole (#59) 8.9 17 0.5 40 64.7 %
999993 Amber (#60) 7.9 72 0.1 9 70.8 %
999993 Alexis (#61) 7.2 41 0.2 15 80.5 %
999994 Christopher (#62) 7.5 24 0.3 27 66.7 %
999991 Alexander (#63) 10.5 57 0.2 12 77.2 %
999996 Ashley (#64) 3.7 32 0.1 20 75.0 %
999995 Alexandra (#65) 5.1 50 0.1 13 76.0 %
1000000 Brianna (#66) -1.1 40 -0.0 17 72.5 %
999999 Kelsey (#67) 0.3 27 0.0 25 66.7 %
999998 Andrew (#68) 0.8 58 0.0 12 70.7 %
999998 Laura (#69) 1.6 69 0.0 10 53.6 %
1000000 Jordan (#70) -2.1 41 -0.1 17 70.7 %
1000002 Anthony (#71) -3.5 40 -0.1 17 72.5 %
1000001 Michael (#72) -3.6 21 -0.2 32 57.1 %
1000002 Kayla (#73) -3.5 36 -0.1 20 69.4 %
1000002 Maria (#74) -3.9 23 -0.2 29 65.2 %
1000002 Christina (#75) -4.1 30 -0.1 22 70.0 %
1000002 Brittany (#76) -4.4 31 -0.1 21 71.0 %
1000001 Jonathan (#77) -3.4 56 -0.1 12 62.5 %
1000002 Melissa (#78) -5.4 26 -0.2 28 61.5 %
1000002 Anna (#79) -5.2 47 -0.1 14 66.0 %
1000003 Madison (#80) -6.1 29 -0.2 24 62.1 %
1000003 Adam (#81) -6.3 67 -0.1 10 71.6 %
1000003 Lauren (#82) -7.3 42 -0.2 17 57.1 %
1000006 Jose (#83) -9.6 33 -0.3 20 66.7 %
1000005 Brian (#84) -8.7 44 -0.2 16 61.4 %
1000004 Nicholas (#85) -8.9 26 -0.4 27 53.9 %
1000005 Katherine (#86) -9.8 47 -0.2 15 61.7 %
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