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 "Conocophillips (COP)"

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

Find The Lastest Buy Signals for COP Below.



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Algorithms Results since Jan/2010


  to  
Sort Factor Algorithm % Result # Trades % Result/Trade Days/Trade Hit % Detailed View
999980 Laura (#1) 30.3 95 0.3 10 63.2 %
999984 Chelsea (#2) 18.8 30 0.6 30 80.0 %
999984 Megan (#3) 22.8 59 0.4 16 66.1 %
999987 Katherine (#4) 17.0 67 0.3 15 68.7 %
999988 Benjamin (#5) 13.5 35 0.4 26 80.0 %
999989 Alyssa (#6) 12.1 41 0.3 22 80.5 %
999990 Christina (#7) 11.9 43 0.3 23 79.1 %
999992 Daniel (#8) 8.7 20 0.5 45 75.0 %
999993 Brian (#9) 8.0 68 0.1 14 75.0 %
999997 Olivia (#10) 3.4 13 0.2 68 61.5 %
999993 Richard (#11) 7.9 13 0.6 68 69.2 %
999995 Aaron (#12) 6.0 161 0.0 7 70.2 %
999993 Lauren (#13) 9.4 56 0.2 17 67.9 %
999995 Abigail (#14) 4.6 126 0.0 8 73.0 %
999998 Alexander (#15) 1.5 88 0.0 11 77.3 %
999996 Brianna (#16) 3.7 49 0.1 20 77.6 %
999995 Rachel (#17) 4.7 6 0.8 140 83.3 %
999999 Anna (#18) -0.5 75 0.0 14 77.3 %
1000003 Justin (#19) -7.1 136 -0.1 8 63.2 %
999998 Jonathan (#20) 1.7 74 0.0 13 68.9 %
999995 Madison (#21) 5.9 42 0.1 23 71.4 %
1000000 Jessica (#22) -1.4 137 -0.0 7 65.7 %
1000000 Emily (#23) -0.8 17 -0.1 51 76.5 %
1000001 Andrew (#24) -2.9 91 -0.0 11 75.8 %
999998 Christian (#25) 1.0 12 0.1 66 91.7 %
999999 Nathan (#26) 0.0 10 0.0 85 90.0 %
1000003 Mary (#27) -5.6 19 -0.3 48 63.2 %
999999 Brandon (#28) 0.2 13 0.0 62 92.3 %
1000000 Kayla (#29) -2.1 47 -0.0 21 70.2 %
1000000 Matthew (#30) -1.1 12 -0.1 71 83.3 %
1000001 Danielle (#31) -2.1 8 -0.3 97 87.5 %
1000003 Rebecca (#32) -7.4 19 -0.4 50 57.9 %
1000004 Juan (#33) -5.5 16 -0.4 54 87.5 %
1000006 John (#34) -11.5 107 -0.1 9 67.3 %
1000006 Elizabeth (#35) -10.8 14 -0.8 64 64.3 %
1000007 Kimberly (#36) -11.3 20 -0.6 46 75.0 %
1000003 Kyle (#37) -4.4 14 -0.3 62 92.9 %
1000006 Anthony (#38) -8.7 50 -0.2 19 76.0 %
1000009 Patrick (#39) -14.4 13 -1.1 69 69.2 %
1000005 Amanda (#40) -5.8 14 -0.4 58 92.9 %
1000009 Hannah (#41) -14.3 10 -1.4 83 70.0 %
1000008 Michelle (#42) -15.2 15 -1.0 58 60.0 %
1000010 Mark (#43) -15.7 18 -0.9 49 66.7 %
1000011 Joshua (#44) -16.1 28 -0.6 34 75.0 %
1000009 Haley (#45) -17.8 11 -1.6 80 54.6 %
1000010 Amber (#46) -15.0 101 -0.2 10 73.3 %
1000008 Kaitlyn (#47) -14.5 92 -0.2 11 66.3 %
1000007 Brittany (#48) -9.6 37 -0.3 26 75.7 %
1000012 Morgan (#49) -16.7 16 -1.1 57 75.0 %
1000008 Maria (#50) -12.9 27 -0.5 34 66.7 %
1000009 James (#51) -11.6 7 -1.7 122 85.7 %
1000013 Adam (#52) -19.2 101 -0.2 10 74.3 %
1000014 Alexandra (#53) -17.6 62 -0.3 16 80.7 %
1000011 Erin (#54) -21.9 13 -1.7 68 53.9 %
1000013 Jacob (#55) -20.8 9 -2.3 96 66.7 %
1000013 Christopher (#56) -18.7 28 -0.7 33 75.0 %
1000014 David (#57) -21.9 22 -1.0 41 68.2 %
1000016 Cody (#58) -25.6 21 -1.2 43 66.7 %
1000018 Joseph (#59) -26.8 26 -1.0 35 69.2 %
1000015 Dylan (#60) -24.7 16 -1.6 56 62.5 %
1000017 Cameron (#61) -24.1 26 -0.9 35 73.1 %
1000014 Courtney (#62) -23.7 16 -1.5 56 62.5 %
1000018 Alexis (#63) -24.9 38 -0.7 24 76.3 %
1000017 Charles (#64) -25.9 19 -1.4 48 68.4 %
1000017 Austin (#65) -24.9 25 -1.0 37 72.0 %
1000015 Samantha (#66) -26.8 12 -2.3 74 58.3 %
1000019 Jordan (#67) -26.8 58 -0.5 17 74.1 %
1000019 Ashley (#68) -26.7 32 -0.8 29 75.0 %
1000013 Nicole (#69) -25.0 20 -1.3 46 55.0 %
1000018 Allison (#70) -28.0 29 -1.0 32 69.0 %
1000019 Jose (#71) -28.6 37 -0.8 25 70.3 %
1000019 Kelsey (#72) -26.1 33 -0.8 28 75.8 %
1000017 Kevin (#73) -31.0 22 -1.4 41 59.1 %
1000018 Michael (#74) -30.2 21 -1.4 44 61.9 %
1000020 Jesse (#75) -37.4 221 -0.2 5 57.9 %
1000021 Melissa (#76) -34.2 34 -1.0 29 64.7 %
1000029 Nicholas (#77) -46.1 38 -1.2 27 65.8 %
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