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
999955 Aaron (#1) 57.7 190 0.3 6 75.3 %
999963 Jesse (#2) 55.8 287 0.2 5 63.4 %
999961 Jessica (#3) 57.0 176 0.3 7 65.9 %
999965 Laura (#4) 51.8 110 0.5 11 65.5 %
999960 Jordan (#5) 49.1 70 0.7 15 78.6 %
999962 Abigail (#6) 48.6 149 0.3 8 75.8 %
999963 John (#7) 50.0 124 0.4 9 71.8 %
999960 Alexander (#8) 48.3 96 0.5 11 80.2 %
999961 Alexandra (#9) 46.2 78 0.6 13 82.1 %
999961 Jonathan (#10) 48.7 93 0.5 12 77.4 %
999965 Anna (#11) 43.6 73 0.6 14 76.7 %
999963 Brianna (#12) 45.6 65 0.7 16 78.5 %
999962 Andrew (#13) 47.4 98 0.5 11 78.6 %
999964 Adam (#14) 46.1 118 0.4 9 77.1 %
999958 Juan (#15) 43.4 21 2.1 37 95.2 %
999965 Brian (#16) 44.3 77 0.6 14 77.9 %
999966 Kaitlyn (#17) 47.6 103 0.5 11 68.0 %
999962 Matthew (#18) 38.8 16 2.4 49 93.8 %
999966 Anthony (#19) 40.6 62 0.7 16 80.7 %
999976 Justin (#20) 37.6 175 0.2 7 60.6 %
999969 Katherine (#21) 39.8 77 0.5 14 75.3 %
999975 Alexis (#22) 29.8 54 0.6 18 81.5 %
999974 Amber (#23) 34.5 116 0.3 10 73.3 %
999977 Jose (#24) 28.0 45 0.6 21 77.8 %
999976 Benjamin (#25) 28.3 24 1.2 34 83.3 %
999976 Kyle (#26) 26.0 16 1.6 48 87.5 %
999973 Heather (#27) 28.7 10 2.9 71 90.0 %
999976 Kayla (#28) 30.3 58 0.5 18 75.9 %
999977 Nathan (#29) 24.0 12 2.0 65 91.7 %
999981 Brittany (#30) 23.9 46 0.5 21 76.1 %
999986 Rebecca (#31) 19.5 20 1.0 44 65.0 %
999979 Lauren (#32) 27.4 65 0.4 17 72.3 %
999987 Nicholas (#33) 18.0 39 0.5 25 64.1 %
999979 Eric (#34) 22.3 11 2.0 65 90.9 %
999982 Danielle (#35) 20.8 12 1.8 61 83.3 %
999983 Madison (#36) 23.1 47 0.5 22 70.2 %
999985 Alyssa (#37) 17.9 25 0.7 33 80.0 %
999986 Rachel (#38) 15.9 12 1.3 65 83.3 %
999985 Sara (#39) 16.9 6 2.8 131 83.3 %
999982 Christian (#40) 18.5 13 1.4 57 92.3 %
999986 Ashley (#41) 15.7 43 0.4 23 79.1 %
999989 Kelsey (#42) 12.8 35 0.4 26 74.3 %
999987 Christina (#43) 14.7 49 0.3 20 77.6 %
999987 Brandon (#44) 14.0 15 0.9 50 86.7 %
999991 James (#45) 9.5 7 1.3 116 85.7 %
999989 Amanda (#46) 10.7 20 0.6 38 90.0 %
999992 Mark (#47) 9.8 18 0.6 51 72.2 %
999992 Michael (#48) 9.2 24 0.4 38 75.0 %
999991 Kimberly (#49) 8.6 18 0.5 47 88.9 %
999995 Charles (#50) 6.1 24 0.3 37 70.8 %
999989 Daniel (#51) 10.7 15 0.7 53 86.7 %
999994 Jasmine (#52) 5.7 7 0.9 96 85.7 %
999992 Megan (#53) 12.4 66 0.2 16 62.1 %
999994 Cody (#54) 7.2 21 0.3 43 71.4 %
999990 Chelsea (#55) 11.2 17 0.7 47 82.4 %
999995 Samantha (#56) 4.6 10 0.5 88 80.0 %
999994 Melissa (#57) 7.3 41 0.2 25 65.9 %
999994 Christopher (#58) 5.7 32 0.2 29 78.1 %
999994 Cameron (#59) 7.0 29 0.2 34 75.9 %
999996 Ryan (#60) 4.4 6 0.7 129 83.3 %
999996 Patrick (#61) 4.6 10 0.5 81 70.0 %
999996 Joshua (#62) 3.9 24 0.2 36 83.3 %
999997 David (#63) 3.4 24 0.1 35 79.2 %
999994 Emily (#64) 6.4 12 0.5 67 83.3 %
999996 Mary (#65) 4.0 16 0.3 52 81.3 %
999998 Austin (#66) 1.2 26 0.0 33 73.1 %
999999 Kevin (#67) 0.1 24 0.0 40 75.0 %
999999 Allison (#68) 0.3 33 0.0 26 78.8 %
999998 Olivia (#69) 1.7 12 0.2 68 75.0 %
1000000 Erin (#70) -1.2 13 -0.1 67 76.9 %
1000000 Samuel (#71) -2.1 6 -0.3 143 66.7 %
1000000 Dylan (#72) -0.9 16 -0.1 55 81.3 %
1000000 Nicole (#73) -1.0 21 -0.1 41 66.7 %
1000001 Maria (#74) -2.9 25 -0.1 37 80.0 %
1000003 Joseph (#75) -6.5 28 -0.2 35 71.4 %
1000001 Elizabeth (#76) -2.1 15 -0.1 57 80.0 %
1000001 Courtney (#77) -2.1 16 -0.1 55 81.3 %
1000001 Michelle (#78) -2.0 15 -0.1 60 80.0 %
1000003 Hannah (#79) -4.7 8 -0.6 100 75.0 %
1000000 Morgan (#80) -2.2 14 -0.1 59 64.3 %
1000001 Richard (#81) -3.4 12 -0.3 74 58.3 %
1000001 Haley (#82) -3.2 10 -0.3 83 70.0 %
1000006 Jacob (#83) -12.9 7 -1.9 115 57.1 %
1000009 Robert (#84) -17.4 7 -2.4 118 57.1 %
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