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 "Walmart Inc (WMT)"

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

Find The Lastest Buy Signals for WMT Below.



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Algorithms Results since Jan/2010


  to  
Sort Factor Algorithm % Result # Trades % Result/Trade Days/Trade Hit % Detailed View
999962 Jessica (#1) 54.4 119 0.5 7 68.1 %
999962 Aaron (#2) 48.8 132 0.4 6 75.8 %
999969 Jesse (#3) 45.5 197 0.2 5 66.0 %
999964 John (#4) 46.1 83 0.6 9 75.9 %
999963 Andrew (#5) 44.2 70 0.6 11 82.9 %
999966 Kaitlyn (#6) 44.8 68 0.7 11 73.5 %
999963 Jonathan (#7) 44.1 68 0.7 11 80.9 %
999968 Abigail (#8) 40.2 99 0.4 8 77.8 %
999975 Justin (#9) 35.9 116 0.3 7 65.5 %
999970 Katherine (#10) 36.9 55 0.7 13 78.2 %
999970 Adam (#11) 36.5 83 0.5 9 79.5 %
999970 Alexander (#12) 35.6 65 0.6 11 80.0 %
999970 Alexandra (#13) 35.0 55 0.6 13 83.6 %
999971 Brianna (#14) 36.1 43 0.8 16 76.7 %
999973 Brian (#15) 33.8 52 0.7 14 76.9 %
999975 Amber (#16) 31.9 81 0.4 9 76.5 %
999972 Anthony (#17) 32.9 44 0.8 16 81.8 %
999979 Laura (#18) 31.7 75 0.4 10 62.7 %
999975 Jordan (#19) 31.9 45 0.7 16 75.6 %
999976 Anna (#20) 29.5 50 0.6 14 76.0 %
999977 Kayla (#21) 30.1 39 0.8 18 74.4 %
999980 Madison (#22) 26.9 32 0.8 22 68.8 %
999981 Lauren (#23) 24.9 46 0.5 16 71.7 %
999985 Jose (#24) 18.4 26 0.7 24 76.9 %
999984 Matthew (#25) 16.4 14 1.1 44 92.9 %
999984 Alexis (#26) 18.7 37 0.5 19 81.1 %
999985 Christina (#27) 17.5 32 0.6 21 78.1 %
999981 Juan (#28) 18.9 16 1.2 39 93.8 %
999984 Danielle (#29) 17.0 10 1.7 59 90.0 %
999985 Christian (#30) 15.0 11 1.4 54 90.9 %
999988 Brittany (#31) 14.0 29 0.5 23 75.9 %
999985 Benjamin (#32) 16.7 18 0.9 35 83.3 %
999986 Heather (#33) 14.6 8 1.9 72 87.5 %
999990 Megan (#34) 15.1 46 0.3 15 58.7 %
999990 Kyle (#35) 11.1 14 0.8 44 85.7 %
999993 Nicholas (#36) 9.8 27 0.4 25 59.3 %
999988 Brandon (#37) 12.5 13 0.9 46 92.3 %
999987 Eric (#38) 13.2 9 1.4 63 88.9 %
999987 Daniel (#39) 13.3 13 1.0 47 92.3 %
999992 Melissa (#40) 9.8 29 0.3 24 65.5 %
999991 Amanda (#41) 9.4 17 0.5 36 94.1 %
999989 Chelsea (#42) 12.3 14 0.9 44 85.7 %
999994 Michael (#43) 6.9 14 0.5 43 71.4 %
999993 Alyssa (#44) 8.1 19 0.4 33 79.0 %
999996 Jasmine (#45) 3.7 6 0.7 94 83.3 %
999994 Kelsey (#46) 5.8 20 0.3 31 75.0 %
999997 David (#47) 3.1 16 0.2 38 75.0 %
999998 Rebecca (#48) 2.2 12 0.2 51 58.3 %
999996 Ashley (#49) 4.5 27 0.2 25 77.8 %
999994 Emily (#50) 5.0 10 0.5 62 90.0 %
999997 Nathan (#51) 2.2 10 0.2 62 90.0 %
999999 Rachel (#52) 0.3 10 0.0 62 80.0 %
999998 Nicole (#53) 1.5 12 0.2 50 66.7 %
999998 Christopher (#54) 1.2 19 0.1 33 79.0 %
999997 Cameron (#55) 1.8 18 0.1 39 77.8 %
999998 Cody (#56) 1.0 15 0.1 47 66.7 %
1000000 Michelle (#57) -0.6 11 -0.1 63 81.8 %
999999 Mary (#58) 0.4 12 0.0 53 83.3 %
1000000 Joshua (#59) -0.7 17 -0.1 38 82.4 %
999999 Kimberly (#60) -0.1 13 0.0 49 92.3 %
999999 Olivia (#61) -0.1 9 0.0 68 77.8 %
1000001 Dylan (#62) -2.2 12 -0.2 57 83.3 %
1000001 Elizabeth (#63) -2.3 12 -0.2 56 83.3 %
1000000 Richard (#64) -1.8 9 -0.2 76 55.6 %
1000000 Patrick (#65) -2.3 7 -0.3 89 71.4 %
1000000 Mark (#66) -1.1 12 -0.1 59 66.7 %
1000001 Haley (#67) -3.4 8 -0.4 81 75.0 %
1000001 Morgan (#68) -2.6 11 -0.3 58 63.6 %
1000003 Maria (#69) -5.8 14 -0.4 43 71.4 %
1000003 Charles (#70) -5.6 17 -0.4 40 70.6 %
1000004 Courtney (#71) -5.8 12 -0.5 57 83.3 %
1000005 Samantha (#72) -8.0 7 -1.1 97 71.4 %
1000005 Allison (#73) -7.4 24 -0.3 27 79.2 %
1000005 Erin (#74) -7.8 9 -0.9 75 77.8 %
1000006 Austin (#75) -8.5 18 -0.5 36 72.2 %
1000007 Hannah (#76) -10.3 6 -1.7 104 83.3 %
1000006 Kevin (#77) -11.4 14 -0.8 50 64.3 %
1000009 Joseph (#78) -15.5 16 -1.0 44 62.5 %
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