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 "Advance Auto Parts Inc (AAP)"

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

Find The Lastest Buy Signals for AAP Below.



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Algorithms Results since Jan/2010


  to  
Sort Factor Algorithm % Result # Trades % Result/Trade Days/Trade Hit % Detailed View
999964 Jessica (#1) 56.6 164 0.4 8 61.0 %
999971 Jesse (#2) 46.8 272 0.2 5 59.2 %
999966 Maria (#3) 42.3 32 1.3 32 78.1 %
999974 Aaron (#4) 37.6 173 0.2 7 67.1 %
999971 Michael (#5) 40.3 27 1.5 38 70.4 %
999975 Christopher (#6) 30.4 35 0.9 28 80.0 %
999976 David (#7) 27.8 26 1.1 38 80.8 %
999978 Abigail (#8) 28.9 133 0.2 9 71.4 %
999972 Laura (#9) 44.3 101 0.4 11 60.4 %
999976 Nicole (#10) 29.9 25 1.2 42 76.0 %
999978 Kaitlyn (#11) 33.1 96 0.3 12 64.6 %
999985 Nicholas (#12) 20.8 34 0.6 30 67.7 %
999978 Jordan (#13) 26.9 53 0.5 20 79.3 %
999977 Richard (#14) 27.1 16 1.7 63 81.3 %
999982 Brian (#15) 22.9 71 0.3 16 74.7 %
999985 Anna (#16) 19.1 66 0.3 16 75.8 %
999970 Amanda (#17) 31.2 28 1.1 29 92.9 %
999982 Sarah (#18) 24.9 9 2.8 93 66.7 %
999985 Alexis (#19) 17.7 50 0.4 20 78.0 %
999982 Joseph (#20) 21.0 41 0.5 24 82.9 %
999983 Cameron (#21) 19.7 32 0.6 30 78.1 %
999984 Kevin (#22) 19.9 31 0.7 32 77.4 %
999984 Cody (#23) 18.2 23 0.8 40 82.6 %
999984 Katherine (#24) 21.6 72 0.3 15 69.4 %
999988 Ashley (#25) 13.8 39 0.4 25 79.5 %
999979 Benjamin (#26) 22.6 29 0.8 30 86.2 %
999990 Alexander (#27) 11.8 83 0.1 13 77.1 %
999981 Jose (#28) 22.9 45 0.5 23 77.8 %
999990 Alexandra (#29) 10.8 61 0.2 17 80.3 %
999981 Brandon (#30) 20.1 19 1.1 42 89.5 %
999992 Jonathan (#31) 9.5 83 0.1 13 74.7 %
999987 Patrick (#32) 16.4 12 1.3 70 75.0 %
999991 John (#33) 11.0 107 0.1 11 70.1 %
999985 Christian (#34) 15.9 16 1.0 50 87.5 %
999995 Kelsey (#35) 6.3 38 0.2 27 68.4 %
999986 Rebecca (#36) 18.7 24 0.8 43 66.7 %
999985 Joshua (#37) 15.6 26 0.6 33 88.5 %
999986 Heather (#38) 16.6 8 2.1 97 75.0 %
999986 Alyssa (#39) 14.8 31 0.5 28 87.1 %
999986 Danielle (#40) 15.1 13 1.2 61 84.6 %
999985 Allison (#41) 16.7 40 0.4 23 85.0 %
999985 Kimberly (#42) 17.3 22 0.8 38 81.8 %
999992 Samantha (#43) 8.9 15 0.6 65 73.3 %
999991 Jennifer (#44) 12.2 6 2.0 124 66.7 %
999991 Olivia (#45) 10.4 16 0.6 61 81.3 %
999986 Jasmine (#46) 15.1 6 2.5 121 83.3 %
999990 Austin (#47) 9.6 29 0.3 31 86.2 %
999992 Rachel (#48) 10.1 7 1.4 103 71.4 %
999989 Hannah (#49) 12.4 10 1.2 79 80.0 %
999992 Morgan (#50) 9.4 16 0.6 52 81.3 %
999995 Justin (#51) 6.2 159 0.0 8 64.2 %
1000000 Andrew (#52) -1.7 87 -0.0 13 72.4 %
999990 Robert (#53) 11.9 9 1.3 96 77.8 %
999994 James (#54) 6.8 7 1.0 109 71.4 %
999991 Jacob (#55) 10.3 9 1.1 92 77.8 %
1000002 Adam (#56) -4.0 103 -0.0 11 72.8 %
999990 Juan (#57) 10.5 14 0.8 54 78.6 %
1000001 Anthony (#58) -2.1 52 -0.0 19 78.9 %
999991 Eric (#59) 10.0 9 1.1 87 77.8 %
999994 Melissa (#60) 9.0 33 0.3 31 60.6 %
999990 Chelsea (#61) 9.7 21 0.5 42 85.7 %
999994 Nathan (#62) 5.5 8 0.8 91 75.0 %
1000000 Brittany (#63) -1.0 40 -0.0 25 77.5 %
999994 Daniel (#64) 6.6 15 0.5 56 73.3 %
999994 Courtney (#65) 5.9 19 0.3 47 84.2 %
999994 Samuel (#66) 5.8 8 0.8 105 75.0 %
999997 Mark (#67) 3.1 23 0.1 43 69.6 %
999996 Matthew (#68) 3.8 9 0.4 82 77.8 %
999994 Charles (#69) 6.0 25 0.2 36 84.0 %
999996 Kyle (#70) 3.6 11 0.4 68 72.7 %
1000001 Lauren (#71) -2.6 59 -0.1 18 64.4 %
999998 Erin (#72) 0.9 13 0.1 69 76.9 %
999997 Elizabeth (#73) 2.1 14 0.1 63 78.6 %
1000003 Kayla (#74) -4.8 44 -0.1 24 72.7 %
1000003 Christina (#75) -6.5 37 -0.2 27 73.0 %
1000004 Dylan (#76) -6.3 20 -0.3 46 75.0 %
1000001 Haley (#77) -2.2 13 -0.2 67 76.9 %
1000000 Emily (#78) -2.3 11 -0.2 75 72.7 %
1000009 Brianna (#79) -13.2 46 -0.3 22 73.9 %
1000013 Amber (#80) -19.6 108 -0.2 11 70.4 %
1000001 Michelle (#81) -2.9 19 -0.2 50 79.0 %
1000001 Madison (#82) -3.1 37 -0.1 28 62.2 %
1000005 Mary (#83) -7.1 18 -0.4 46 83.3 %
1000018 Megan (#84) -29.1 58 -0.5 18 67.2 %
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