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 "Union Pacific Corp (UNP)"

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

Find The Lastest Buy Signals for UNP Below.



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Algorithms Results since Jan/2010


  to  
Sort Factor Algorithm % Result # Trades % Result/Trade Days/Trade Hit % Detailed View
999948 John (#1) 64.7 67 1.0 8 79.1 %
999959 Laura (#2) 57.3 60 1.0 9 70.0 %
999958 Kaitlyn (#3) 55.7 61 0.9 9 73.8 %
999957 Amber (#4) 54.2 65 0.8 8 76.9 %
999970 Abigail (#5) 40.6 74 0.6 7 71.6 %
999973 Lauren (#6) 36.8 34 1.1 15 70.6 %
999973 Justin (#7) 37.3 88 0.4 7 70.5 %
999972 Adam (#8) 36.1 62 0.6 8 74.2 %
999972 Brian (#9) 35.1 41 0.9 12 78.1 %
999977 Katherine (#10) 30.7 35 0.9 14 71.4 %
999976 Aaron (#11) 33.4 91 0.4 6 70.3 %
999977 Alexander (#12) 27.6 43 0.7 12 79.1 %
999981 Jonathan (#13) 26.2 47 0.6 11 70.2 %
999980 Anna (#14) 25.5 41 0.6 12 75.6 %
999988 Megan (#15) 19.6 31 0.7 16 54.8 %
999981 Jessica (#16) 26.3 83 0.3 7 67.5 %
999980 Christina (#17) 23.3 26 0.9 18 84.6 %
999981 Jordan (#18) 23.4 35 0.7 14 77.1 %
999981 Andrew (#19) 24.4 46 0.5 11 76.1 %
999983 Kayla (#20) 21.1 29 0.7 17 75.9 %
999983 Alexandra (#21) 19.6 33 0.6 15 81.8 %
999983 Brianna (#22) 19.1 29 0.7 17 82.8 %
999987 Madison (#23) 14.7 23 0.7 21 78.3 %
999990 Maria (#24) 12.1 13 0.9 38 76.9 %
999988 Anthony (#25) 13.4 27 0.5 18 85.2 %
999993 Michael (#26) 8.1 10 0.8 49 80.0 %
999994 Olivia (#27) 7.3 6 1.2 75 66.7 %
999994 Nicholas (#28) 7.2 18 0.4 28 66.7 %
999995 Dylan (#29) 5.1 8 0.6 55 75.0 %
999996 Melissa (#30) 5.0 21 0.2 24 66.7 %
999994 Nicole (#31) 7.1 10 0.7 50 70.0 %
999997 Rebecca (#32) 4.1 13 0.3 39 53.9 %
999997 David (#33) 2.3 10 0.2 47 80.0 %
999997 Chelsea (#34) 2.3 9 0.2 44 77.8 %
999998 Elizabeth (#35) 2.0 7 0.3 59 71.4 %
999997 Michelle (#36) 2.6 8 0.4 56 75.0 %
1000000 Alyssa (#37) -0.6 11 -0.1 36 81.8 %
1000000 Charles (#38) -0.6 10 -0.1 44 80.0 %
1000000 Benjamin (#39) -0.9 9 -0.1 43 77.8 %
1000002 Mark (#40) -3.6 8 -0.5 56 75.0 %
1000000 Daniel (#41) -1.8 8 -0.3 49 75.0 %
999998 Cameron (#42) 1.0 12 0.1 38 83.3 %
1000000 Erin (#43) -2.3 7 -0.3 60 71.4 %
1000000 Brittany (#44) -1.4 17 -0.1 28 76.5 %
1000002 Courtney (#45) -3.8 8 -0.5 53 75.0 %
1000003 Mary (#46) -5.5 7 -0.9 61 71.4 %
1000004 Morgan (#47) -7.7 6 -1.3 70 66.7 %
1000003 Alexis (#48) -4.8 17 -0.3 27 88.2 %
1000005 Kelsey (#49) -7.5 15 -0.5 32 80.0 %
1000004 Allison (#50) -6.2 12 -0.5 37 83.3 %
1000004 Kimberly (#51) -6.4 8 -0.8 54 75.0 %
1000006 Austin (#52) -7.9 11 -0.7 40 81.8 %
1000006 Kevin (#53) -9.9 9 -1.1 49 66.7 %
1000006 Cody (#54) -10.0 9 -1.1 50 66.7 %
1000006 Christopher (#55) -8.7 12 -0.8 40 83.3 %
1000006 Joseph (#56) -9.7 12 -0.8 37 66.7 %
1000006 Jose (#57) -8.9 17 -0.5 28 82.4 %
1000007 Joshua (#58) -10.2 10 -1.0 43 80.0 %
1000007 Ashley (#59) -8.7 14 -0.6 33 85.7 %
1000008 Jesse (#60) -15.0 132 -0.1 5 59.1 %
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