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
999948 Richard (#1) 66.5 9 7.3 41 77.8 %
999959 Robert (#2) 48.4 6 8.0 59 83.3 %
999961 Rebecca (#3) 46.0 12 3.8 34 83.3 %
999966 Samantha (#4) 42.3 9 4.7 40 77.8 %
999965 Michael (#5) 43.0 15 2.9 28 80.0 %
999964 Matthew (#6) 34.7 6 5.8 61 100.0 %
999966 Kyle (#7) 32.6 8 4.1 46 100.0 %
999969 Haley (#8) 34.4 8 4.3 46 87.5 %
999970 Jacob (#9) 33.7 7 4.9 53 85.7 %
999971 Nicole (#10) 36.6 13 2.9 32 76.9 %
999971 Juan (#11) 28.0 10 2.8 37 100.0 %
999978 Olivia (#12) 31.7 9 3.6 45 66.7 %
999977 Morgan (#13) 29.4 8 3.6 46 75.0 %
999976 Daniel (#14) 29.5 9 3.3 39 77.8 %
999971 Danielle (#15) 27.8 6 4.7 50 100.0 %
999970 Maria (#16) 33.0 15 2.2 28 86.7 %
999973 Amanda (#17) 25.9 12 2.2 25 100.0 %
999979 Mary (#18) 27.1 8 3.4 44 75.0 %
999978 Patrick (#19) 24.7 7 3.6 53 85.7 %
999977 Christian (#20) 21.8 7 3.1 41 100.0 %
999978 David (#21) 23.7 14 1.7 30 85.7 %
999979 Brandon (#22) 20.3 9 2.2 32 100.0 %
999980 Michelle (#23) 24.1 9 2.7 45 77.8 %
999980 Courtney (#24) 23.1 11 2.1 35 81.8 %
999982 Emily (#25) 20.7 6 3.5 61 83.3 %
999982 Chelsea (#26) 19.5 9 2.1 39 88.9 %
999981 Dylan (#27) 23.3 9 2.6 45 77.8 %
999984 Nicholas (#28) 22.8 18 1.3 24 66.7 %
999987 Elizabeth (#29) 16.6 7 2.4 53 71.4 %
999985 Mark (#30) 17.8 9 2.0 45 77.8 %
999987 Erin (#31) 17.0 7 2.4 55 71.4 %
999986 Cody (#32) 14.7 12 1.3 35 83.3 %
999985 Melissa (#33) 17.5 17 1.1 26 76.5 %
999989 Alyssa (#34) 12.1 13 0.9 27 84.6 %
999986 Jose (#35) 14.0 20 0.7 21 90.0 %
999990 Benjamin (#36) 11.0 10 1.1 35 80.0 %
999988 Charles (#37) 12.9 12 1.1 33 83.3 %
999990 Cameron (#38) 11.5 14 0.8 29 85.7 %
999991 Kimberly (#39) 10.3 9 1.1 40 77.8 %
999988 Kelsey (#40) 12.2 16 0.8 27 87.5 %
999990 Christopher (#41) 11.0 14 0.8 30 85.7 %
999994 Joshua (#42) 6.0 10 0.6 37 80.0 %
999990 Megan (#43) 11.7 29 0.4 15 72.4 %
999996 Kevin (#44) 4.3 12 0.3 34 83.3 %
999994 Andrew (#45) 6.9 42 0.2 11 69.1 %
999997 Austin (#46) 2.4 11 0.2 36 81.8 %
999998 Joseph (#47) 0.8 14 0.1 29 85.7 %
999997 Lauren (#48) 2.8 30 0.1 15 60.0 %
1000000 Allison (#49) -1.2 17 -0.1 23 70.6 %
1000000 Alexis (#50) -1.9 19 -0.1 22 73.7 %
1000001 Ashley (#51) -2.6 14 -0.2 29 64.3 %
999999 Madison (#52) 0.5 19 0.0 23 73.7 %
1000001 Jesse (#53) -3.3 132 -0.0 4 62.9 %
1000001 Katherine (#54) -3.8 33 -0.1 14 60.6 %
999999 Laura (#55) -0.4 45 0.0 10 60.0 %
1000001 Brian (#56) -4.2 30 -0.1 16 60.0 %
1000003 Anna (#57) -4.7 29 -0.2 17 72.4 %
1000000 John (#58) -2.4 47 -0.0 10 63.8 %
1000003 Christina (#59) -5.8 17 -0.4 25 64.7 %
1000005 Alexander (#60) -7.6 36 -0.2 13 69.4 %
1000005 Jessica (#61) -10.1 67 -0.2 7 62.7 %
1000005 Jonathan (#62) -10.3 36 -0.3 13 63.9 %
1000006 Brittany (#63) -10.6 15 -0.7 28 66.7 %
1000007 Adam (#64) -11.0 49 -0.2 10 69.4 %
1000006 Jordan (#65) -12.1 23 -0.5 20 60.9 %
1000007 Justin (#66) -13.1 71 -0.2 7 60.6 %
1000007 Alexandra (#67) -11.8 27 -0.4 16 66.7 %
1000007 Abigail (#68) -11.2 63 -0.2 8 71.4 %
1000007 Brianna (#69) -13.0 21 -0.6 22 61.9 %
1000007 Anthony (#70) -14.1 21 -0.7 20 57.1 %
1000011 Aaron (#71) -16.8 76 -0.2 6 68.4 %
1000009 Amber (#72) -15.5 48 -0.3 10 64.6 %
1000008 Kaitlyn (#73) -15.0 43 -0.4 11 58.1 %
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