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 "American Express Co (AXP)"

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

Find The Lastest Buy Signals for AXP Below.



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Algorithms Results since Jan/2010


  to  
Sort Factor Algorithm % Result # Trades % Result/Trade Days/Trade Hit % Detailed View
999971 Megan (#1) 41.1 40 1.0 18 67.5 %
999967 Madison (#2) 39.0 32 1.2 22 81.3 %
999975 Lauren (#3) 33.0 42 0.8 17 73.8 %
999973 Morgan (#4) 30.9 12 2.6 55 83.3 %
999974 Patrick (#5) 30.7 11 2.8 60 81.8 %
999982 Brianna (#6) 22.5 38 0.6 18 76.3 %
999985 Katherine (#7) 20.7 47 0.5 15 68.1 %
999982 Maria (#8) 21.1 21 1.0 31 81.0 %
999983 Olivia (#9) 18.5 12 1.6 55 83.3 %
999985 Jordan (#10) 19.0 44 0.4 16 72.7 %
999983 Kayla (#11) 20.7 37 0.6 19 75.7 %
999982 Laura (#12) 22.1 69 0.3 11 75.4 %
999985 Christina (#13) 18.8 29 0.7 23 75.9 %
999984 Christopher (#14) 19.5 24 0.8 27 75.0 %
999985 Haley (#15) 18.2 9 2.0 74 77.8 %
999978 Melissa (#16) 23.6 28 0.9 26 85.7 %
999989 Samantha (#17) 18.8 11 1.7 64 54.6 %
999986 Cameron (#18) 15.8 23 0.7 27 78.3 %
999987 Courtney (#19) 14.5 15 1.0 43 80.0 %
999988 Erin (#20) 14.0 11 1.3 58 81.8 %
999989 Anthony (#21) 12.9 34 0.4 20 79.4 %
999988 Kaitlyn (#22) 16.2 68 0.2 11 66.2 %
999988 Kimberly (#23) 14.1 14 1.0 47 78.6 %
999990 Samuel (#24) 12.0 7 1.7 94 71.4 %
999989 Kelsey (#25) 12.6 23 0.6 28 73.9 %
999990 Alexandra (#26) 12.4 42 0.3 16 78.6 %
999992 Brian (#27) 10.5 44 0.2 16 70.5 %
999989 Mary (#28) 12.3 13 0.9 50 84.6 %
999990 Brittany (#29) 12.2 28 0.4 23 78.6 %
999989 Michael (#30) 12.5 20 0.7 33 75.0 %
999992 Michelle (#31) 10.2 12 0.8 54 75.0 %
999994 Anna (#32) 7.5 43 0.2 16 67.4 %
999992 Ashley (#33) 9.3 25 0.4 26 80.0 %
999990 Joshua (#34) 9.8 16 0.6 41 87.5 %
999993 Alexis (#35) 8.1 30 0.3 22 73.3 %
999991 David (#36) 10.5 19 0.5 33 84.2 %
999991 Charles (#37) 9.7 16 0.6 40 81.3 %
999993 Dylan (#38) 8.1 11 0.7 57 72.7 %
999990 Nicholas (#39) 13.3 27 0.5 27 66.7 %
999993 Kevin (#40) 7.0 16 0.4 40 81.3 %
999994 Elizabeth (#41) 5.7 10 0.6 65 80.0 %
999995 Austin (#42) 5.1 18 0.3 36 83.3 %
999994 Alexander (#43) 5.8 55 0.1 13 76.4 %
999993 Alyssa (#44) 6.7 19 0.4 35 84.2 %
999994 Robert (#45) 7.0 7 1.0 93 71.4 %
999993 Adam (#46) 7.8 67 0.1 11 77.6 %
999998 Sarah (#47) 1.1 6 0.2 103 66.7 %
999996 Nicole (#48) 4.2 16 0.3 42 75.0 %
999997 Joseph (#49) 3.2 16 0.2 40 75.0 %
999995 Benjamin (#50) 5.0 16 0.3 41 81.3 %
999997 Daniel (#51) 2.8 9 0.3 72 77.8 %
999997 Jose (#52) 1.7 29 0.1 22 75.9 %
999998 John (#53) 1.9 78 0.0 9 66.7 %
999997 Jonathan (#54) 3.0 49 0.1 15 71.4 %
999998 Allison (#55) 1.8 21 0.1 30 71.4 %
999998 Emily (#56) 1.1 7 0.1 91 71.4 %
1000000 Justin (#57) -0.7 106 -0.0 7 61.3 %
999997 Cody (#58) 2.0 16 0.1 39 81.3 %
999998 Amber (#59) 2.1 73 0.0 10 74.0 %
999999 Mark (#60) 0.1 13 0.0 49 76.9 %
999999 Juan (#61) -0.2 9 0.0 74 88.9 %
1000001 Richard (#62) -4.0 9 -0.4 75 55.6 %
999999 Kyle (#63) -0.4 9 0.0 74 88.9 %
1000001 Chelsea (#64) -3.5 9 -0.3 72 77.8 %
999999 Jesse (#65) -0.3 188 0.0 5 58.5 %
1000002 Abigail (#66) -4.2 86 -0.1 9 70.9 %
1000004 Andrew (#67) -6.6 49 -0.1 15 75.5 %
1000005 Aaron (#68) -8.8 115 -0.1 7 62.6 %
1000006 Danielle (#69) -9.4 6 -1.5 113 83.3 %
1000005 Jessica (#70) -9.7 102 -0.1 8 58.8 %
1000007 Rebecca (#71) -12.3 17 -0.7 40 64.7 %
1000008 Christian (#72) -11.1 6 -1.8 113 83.3 %
1000009 Brandon (#73) -11.2 9 -1.2 75 88.9 %
1000010 Amanda (#74) -11.9 9 -1.3 75 88.9 %
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