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 "Mettler toledo International (MTD)"

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

Find The Lastest Buy Signals for MTD Below.



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Algorithms Results since Jan/2010


  to  
Sort Factor Algorithm % Result # Trades % Result/Trade Days/Trade Hit % Detailed View
999942 Justin (#1) 84.2 122 0.7 7 68.0 %
999942 Laura (#2) 82.1 78 1.1 10 69.2 %
999947 Kaitlyn (#3) 75.8 84 0.9 9 69.1 %
999955 Samantha (#4) 61.5 7 8.7 93 71.4 %
999953 Abigail (#5) 63.1 114 0.6 7 73.7 %
999949 John (#6) 67.3 91 0.7 8 74.7 %
999958 Samuel (#7) 57.5 7 8.1 93 71.4 %
999958 Amber (#8) 54.3 88 0.6 9 76.1 %
999949 Katherine (#9) 74.5 47 1.6 16 68.1 %
999961 Robert (#10) 53.3 7 7.6 94 71.4 %
999965 Aaron (#11) 46.8 133 0.4 6 72.2 %
999962 Andrew (#12) 51.1 60 0.9 12 71.7 %
999967 Adam (#13) 43.4 78 0.6 10 74.4 %
999963 Alexandra (#14) 48.9 50 1.0 14 74.0 %
999973 Jessica (#15) 40.7 121 0.3 7 63.6 %
999970 Kayla (#16) 41.5 38 1.1 20 71.1 %
999979 Jesse (#17) 30.3 199 0.2 5 66.8 %
999967 Amanda (#18) 39.5 17 2.3 36 82.4 %
999978 Jacob (#19) 31.3 6 5.2 103 66.7 %
999968 Alexander (#20) 42.6 63 0.7 12 71.4 %
999973 Brianna (#21) 35.8 42 0.9 18 71.4 %
999979 Patrick (#22) 28.3 7 4.0 93 71.4 %
999975 Morgan (#23) 30.5 10 3.0 67 80.0 %
999970 Brian (#24) 43.1 49 0.9 15 67.4 %
999973 Jonathan (#25) 38.8 54 0.7 14 66.7 %
999971 Brandon (#26) 33.4 14 2.4 44 85.7 %
999966 Alyssa (#27) 35.8 22 1.6 30 90.9 %
999981 Eric (#28) 27.1 6 4.5 103 66.7 %
999975 Benjamin (#29) 29.3 18 1.6 36 83.3 %
999981 Madison (#30) 29.2 35 0.8 21 62.9 %
999981 Mary (#31) 22.5 11 2.0 61 81.8 %
999978 Sarah (#32) 31.5 6 5.3 111 66.7 %
999976 Anthony (#33) 31.3 41 0.8 17 75.6 %
999980 Christian (#34) 24.1 10 2.4 62 80.0 %
999982 Alexis (#35) 23.5 34 0.7 19 73.5 %
999983 Hannah (#36) 24.0 6 4.0 103 66.7 %
999988 Joshua (#37) 14.3 16 0.9 42 81.3 %
999979 Jordan (#38) 28.4 45 0.6 17 71.1 %
999987 Brittany (#39) 16.3 30 0.5 22 73.3 %
999976 Anna (#40) 33.1 51 0.7 15 68.6 %
999993 Richard (#41) 10.9 7 1.6 92 57.1 %
999987 Chelsea (#42) 16.2 13 1.2 48 76.9 %
999988 Christina (#43) 15.2 30 0.5 24 70.0 %
999990 Kimberly (#44) 10.7 11 1.0 61 81.8 %
999989 Elizabeth (#45) 13.7 11 1.3 59 72.7 %
999997 Rebecca (#46) 3.8 15 0.3 44 60.0 %
999991 Danielle (#47) 10.7 7 1.6 88 71.4 %
999993 Jose (#48) 8.2 27 0.3 25 70.4 %
999995 Haley (#49) 5.5 8 0.8 80 62.5 %
999988 Juan (#50) 14.4 11 1.3 58 81.8 %
999994 Kyle (#51) 7.2 8 0.9 81 75.0 %
999998 Matthew (#52) 2.4 6 0.3 108 66.7 %
999997 Nathan (#53) 3.4 6 0.5 108 66.7 %
999994 Lauren (#54) 8.6 42 0.2 17 59.5 %
999999 Erin (#55) -0.4 8 0.0 82 62.5 %
999997 Emily (#56) 3.3 6 0.5 103 66.7 %
999996 Austin (#57) 5.4 19 0.3 34 68.4 %
1000000 Kelsey (#58) -1.4 24 -0.0 29 62.5 %
1000001 Daniel (#59) -2.7 8 -0.4 79 62.5 %
1000003 Nicole (#60) -6.9 15 -0.5 44 60.0 %
1000002 Ashley (#61) -3.6 23 -0.2 27 65.2 %
1000002 Michael (#62) -4.2 19 -0.2 36 68.4 %
1000000 Megan (#63) -1.5 46 -0.0 16 54.4 %
1000004 Christopher (#64) -8.7 20 -0.5 33 55.0 %
1000004 Mark (#65) -10.0 11 -0.9 60 54.6 %
1000000 Allison (#66) -2.5 24 -0.1 27 66.7 %
1000004 Michelle (#67) -9.3 10 -0.9 65 60.0 %
1000004 Nicholas (#68) -8.5 26 -0.4 27 57.7 %
1000005 Charles (#69) -8.1 15 -0.5 44 73.3 %
1000007 Joseph (#70) -11.8 22 -0.6 30 68.2 %
1000006 Maria (#71) -13.9 21 -0.7 33 52.4 %
1000008 Courtney (#72) -12.1 11 -1.1 59 72.7 %
1000012 Kevin (#73) -19.6 17 -1.2 38 64.7 %
1000012 David (#74) -22.7 12 -1.9 53 58.3 %
1000018 Dylan (#75) -31.4 10 -3.1 65 60.0 %
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