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
999931 Laura (#1) 100.4 114 0.9 9 68.4 %
999921 Amber (#2) 101.0 121 0.8 8 76.9 %
999930 Kaitlyn (#3) 96.1 115 0.8 9 72.2 %
999928 Brian (#4) 90.0 84 1.1 11 78.6 %
999930 Nicholas (#5) 89.5 40 2.2 24 77.5 %
999936 John (#6) 87.4 121 0.7 9 72.7 %
999931 Anna (#7) 84.2 81 1.0 11 81.5 %
999926 Jordan (#8) 87.7 72 1.2 13 83.3 %
999937 Adam (#9) 81.7 119 0.7 8 75.6 %
999927 Alexandra (#10) 84.3 70 1.2 12 85.7 %
999938 Aaron (#11) 85.2 185 0.5 6 71.4 %
999937 Alexander (#12) 76.7 90 0.9 10 80.0 %
999939 Abigail (#13) 82.0 144 0.6 7 73.6 %
999937 Andrew (#14) 79.3 98 0.8 10 78.6 %
999943 Katherine (#15) 75.9 77 1.0 13 74.0 %
999934 Kayla (#16) 77.7 58 1.3 16 82.8 %
999933 Brianna (#17) 76.4 61 1.3 15 86.9 %
999929 Anthony (#18) 77.2 59 1.3 14 91.5 %
999938 Madison (#19) 73.5 47 1.6 19 83.0 %
999933 Christina (#20) 75.3 49 1.5 18 87.8 %
999947 Lauren (#21) 70.5 70 1.0 14 74.3 %
999946 Melissa (#22) 67.7 42 1.6 22 78.6 %
999953 Jessica (#23) 68.3 167 0.4 7 67.7 %
999951 Jonathan (#24) 67.5 92 0.7 11 70.7 %
999958 Justin (#25) 60.9 168 0.4 7 67.3 %
999940 Maria (#26) 66.9 32 2.1 26 87.5 %
999944 Michael (#27) 67.6 27 2.5 31 81.5 %
999961 Megan (#28) 60.0 68 0.9 15 63.2 %
999947 Nicole (#29) 68.0 25 2.7 34 76.0 %
999939 Alexis (#30) 65.1 53 1.2 15 92.5 %
999946 Brittany (#31) 62.1 43 1.4 19 86.1 %
999947 Kelsey (#32) 57.8 39 1.5 21 89.7 %
999945 Cameron (#33) 60.3 32 1.9 24 90.6 %
999943 Ashley (#34) 61.5 42 1.5 19 90.5 %
999951 Jose (#35) 54.9 47 1.2 18 87.2 %
999955 Olivia (#36) 52.7 17 3.1 42 82.4 %
999951 David (#37) 53.5 26 2.1 30 88.5 %
999964 Rebecca (#38) 54.2 26 2.1 33 65.4 %
999956 Dylan (#39) 49.8 20 2.5 35 85.0 %
999950 Christopher (#40) 54.3 33 1.6 25 90.9 %
999955 Charles (#41) 50.0 26 1.9 26 88.5 %
999956 Austin (#42) 48.2 31 1.6 22 90.3 %
999969 Jesse (#43) 50.1 282 0.2 5 59.9 %
999969 Richard (#44) 36.2 12 3.0 58 83.3 %
999963 Michelle (#45) 39.6 18 2.2 40 88.9 %
999957 Allison (#46) 46.3 36 1.3 19 91.7 %
999965 Elizabeth (#47) 38.7 16 2.4 37 87.5 %
999961 Alyssa (#48) 41.2 29 1.4 19 93.1 %
999957 Courtney (#49) 45.7 22 2.1 29 90.9 %
999964 Erin (#50) 40.2 16 2.5 40 87.5 %
999964 Mark (#51) 40.6 22 1.9 33 86.4 %
999963 Benjamin (#52) 38.9 23 1.7 24 91.3 %
999964 Joseph (#53) 41.1 32 1.3 23 84.4 %
999966 Chelsea (#54) 36.9 20 1.9 26 90.0 %
999976 Samantha (#55) 26.7 12 2.3 61 83.3 %
999970 Morgan (#56) 34.2 15 2.3 39 86.7 %
999970 Kevin (#57) 35.4 25 1.4 29 84.0 %
999971 Cody (#58) 34.4 23 1.5 32 82.6 %
999973 Daniel (#59) 30.0 16 1.9 32 87.5 %
999972 Mary (#60) 29.8 18 1.7 33 88.9 %
999973 Kimberly (#61) 28.8 22 1.3 28 90.9 %
999976 Patrick (#62) 28.3 12 2.3 49 83.3 %
999980 Robert (#63) 24.9 9 2.8 66 77.8 %
999981 Haley (#64) 21.6 12 1.8 45 83.3 %
999979 Joshua (#65) 22.0 25 0.9 25 92.0 %
999987 Samuel (#66) 14.9 9 1.7 66 77.8 %
999993 Jacob (#67) 7.5 7 1.1 70 71.4 %
999995 Emily (#68) 5.0 8 0.6 60 75.0 %
999998 Christian (#69) 1.1 6 0.2 77 83.3 %
1000002 Amanda (#70) -2.6 9 -0.3 52 88.9 %
1000002 Brandon (#71) -2.5 7 -0.4 66 85.7 %
1000007 Sarah (#72) -11.4 7 -1.6 88 71.4 %
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