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 "Aptiv Plc (APTV)"

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

Find The Lastest Buy Signals for APTV Below.



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Algorithms Results since Jan/2010


  to  
Sort Factor Algorithm % Result # Trades % Result/Trade Days/Trade Hit % Detailed View
999972 Melissa (#1) 44.4 23 1.9 24 60.9 %
999962 Anna (#2) 49.4 46 1.1 13 76.1 %
999971 Brianna (#3) 41.7 34 1.2 17 67.7 %
999970 Brian (#4) 39.4 43 0.9 13 74.4 %
999956 Katherine (#5) 58.9 41 1.4 13 73.2 %
999967 Kaitlyn (#6) 51.2 57 0.9 9 63.2 %
999966 Jonathan (#7) 42.8 45 1.0 12 77.8 %
999977 Alexander (#8) 29.3 49 0.6 12 75.5 %
999989 Madison (#9) 14.7 26 0.6 21 65.4 %
999987 Kayla (#10) 20.2 31 0.7 18 61.3 %
999994 Nicholas (#11) 8.5 22 0.4 25 54.6 %
999975 Laura (#12) 48.1 55 0.9 11 50.9 %
999991 Haley (#13) 10.1 9 1.1 56 77.8 %
999993 Christina (#14) 9.7 25 0.4 22 60.0 %
999993 Megan (#15) 10.1 36 0.3 16 61.1 %
999991 Anthony (#16) 11.4 32 0.3 17 71.9 %
1000000 Christopher (#17) -1.0 18 -0.1 30 72.2 %
999991 Jacob (#18) 11.2 7 1.6 68 71.4 %
999995 Morgan (#19) 5.1 9 0.6 57 77.8 %
999990 Austin (#20) 11.2 20 0.6 28 80.0 %
1000000 Nicole (#21) -2.5 13 -0.2 42 69.2 %
1000001 Brittany (#22) -2.8 24 -0.1 23 62.5 %
999988 Adam (#23) 16.1 59 0.3 10 66.1 %
1000000 Kelsey (#24) -1.4 20 -0.1 28 70.0 %
999994 Justin (#25) 7.6 74 0.1 8 67.6 %
999996 Patrick (#26) 4.1 8 0.5 63 62.5 %
999996 Charles (#27) 4.2 12 0.3 46 83.3 %
999996 Amber (#28) 5.2 62 0.1 10 66.1 %
999997 Jordan (#29) 3.1 34 0.1 17 64.7 %
1000001 Alexis (#30) -3.3 28 -0.1 19 71.4 %
999998 Courtney (#31) 1.9 11 0.2 49 72.7 %
1000003 Michael (#32) -5.6 13 -0.5 42 61.5 %
1000002 Kimberly (#33) -3.5 15 -0.3 34 86.7 %
1000000 Emily (#34) -2.2 6 -0.3 80 66.7 %
1000004 Joshua (#35) -5.7 17 -0.4 30 82.4 %
999998 Andrew (#36) 2.0 48 0.0 12 66.7 %
999993 John (#37) 10.4 59 0.2 10 57.6 %
999988 Lauren (#38) 15.6 35 0.5 16 71.4 %
1000001 Allison (#39) -2.5 22 -0.1 25 81.8 %
1000003 Alexandra (#40) -4.8 39 -0.1 14 71.8 %
1000002 Jose (#41) -4.4 25 -0.2 23 72.0 %
1000002 Alyssa (#42) -3.5 16 -0.2 31 87.5 %
1000000 Kyle (#43) -0.6 6 -0.2 80 83.3 %
1000003 Benjamin (#44) -5.2 14 -0.4 35 85.7 %
1000011 Cody (#45) -17.3 11 -1.6 49 72.7 %
1000008 Dylan (#46) -12.8 10 -1.3 54 70.0 %
1000007 Maria (#47) -10.7 17 -0.7 33 70.6 %
1000008 David (#48) -11.9 13 -0.9 41 76.9 %
1000007 Elizabeth (#49) -11.4 8 -1.4 67 75.0 %
1000004 Ashley (#50) -6.4 22 -0.3 25 77.3 %
1000011 Mark (#51) -17.4 10 -1.7 54 70.0 %
1000007 Daniel (#52) -9.7 9 -1.1 55 77.8 %
1000010 Cameron (#53) -13.9 14 -1.0 38 78.6 %
1000010 Mary (#54) -18.4 11 -1.6 46 63.6 %
1000001 Amanda (#55) -3.5 10 -0.3 48 80.0 %
1000005 Brandon (#56) -8.4 8 -1.0 60 75.0 %
1000013 Erin (#57) -20.2 7 -2.9 76 71.4 %
1000008 Richard (#58) -13.3 6 -2.2 90 66.7 %
1000002 Jessica (#59) -4.7 77 -0.1 8 59.7 %
1000012 Joseph (#60) -18.0 16 -1.1 34 75.0 %
1000008 Abigail (#61) -14.2 67 -0.2 9 65.7 %
1000013 Kevin (#62) -23.0 13 -1.8 42 61.5 %
1000007 Olivia (#63) -11.9 6 -2.0 92 66.7 %
1000013 Chelsea (#64) -17.9 9 -2.0 56 77.8 %
1000016 Rebecca (#65) -24.9 12 -2.1 45 66.7 %
1000024 Michelle (#66) -34.7 7 -5.0 78 71.4 %
1000022 Jesse (#67) -43.5 136 -0.3 5 51.5 %
1000029 Aaron (#68) -48.3 84 -0.6 7 63.1 %
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