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 "Garmin Ltd (GRMN)"

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

Find The Lastest Buy Signals for GRMN Below.



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Algorithms Results since Jan/2010


  to  
Sort Factor Algorithm % Result # Trades % Result/Trade Days/Trade Hit % Detailed View
999936 Justin (#1) 88.6 157 0.6 7 71.3 %
999939 Laura (#2) 88.1 108 0.8 9 68.5 %
999949 Kaitlyn (#3) 69.2 101 0.7 10 72.3 %
999945 Jesse (#4) 81.5 287 0.3 4 66.2 %
999946 Aaron (#5) 71.8 180 0.4 6 73.9 %
999941 Jessica (#6) 81.4 160 0.5 7 71.3 %
999952 Alexander (#7) 58.7 98 0.6 10 79.6 %
999951 Anna (#8) 60.6 86 0.7 11 77.9 %
999950 Alexandra (#9) 62.7 70 0.9 12 77.1 %
999969 John (#10) 41.5 110 0.4 9 70.9 %
999954 Brianna (#11) 56.6 64 0.9 13 78.1 %
999965 Adam (#12) 43.1 111 0.4 9 78.4 %
999953 Anthony (#13) 57.9 56 1.0 15 78.6 %
999970 Amber (#14) 38.4 111 0.3 9 76.6 %
999958 Nicholas (#15) 59.8 44 1.4 20 68.2 %
999964 Brian (#16) 46.0 79 0.6 12 76.0 %
999962 Jordan (#17) 46.0 67 0.7 13 80.6 %
999945 Cameron (#18) 62.9 36 1.8 23 86.1 %
999971 Madison (#19) 39.0 46 0.9 18 71.7 %
999950 Ashley (#20) 57.0 49 1.2 17 85.7 %
999974 Andrew (#21) 35.3 92 0.4 11 72.8 %
999955 Alexis (#22) 53.8 56 1.0 16 82.1 %
999980 Megan (#23) 26.6 63 0.4 15 69.8 %
999975 Melissa (#24) 34.6 40 0.9 21 67.5 %
999974 Jonathan (#25) 32.8 85 0.4 12 75.3 %
999976 Abigail (#26) 30.9 131 0.2 8 75.6 %
999969 Katherine (#27) 40.9 75 0.6 13 72.0 %
999956 Kelsey (#28) 54.9 41 1.3 21 78.1 %
999973 Kayla (#29) 34.1 55 0.6 16 76.4 %
999964 Brittany (#30) 44.6 46 1.0 19 78.3 %
999948 Allison (#31) 54.5 45 1.2 18 93.3 %
999950 Cody (#32) 59.0 31 1.9 27 83.9 %
999970 Christopher (#33) 38.1 33 1.2 25 75.8 %
999945 Joseph (#34) 59.6 39 1.5 23 89.7 %
999944 Kevin (#35) 61.8 35 1.8 25 88.6 %
999974 Christina (#36) 34.0 43 0.8 18 72.1 %
999947 Michelle (#37) 61.2 21 2.9 41 85.7 %
999949 Joshua (#38) 54.5 33 1.7 26 90.9 %
999951 Mark (#39) 52.2 27 1.9 31 92.6 %
999970 Maria (#40) 40.3 29 1.4 29 72.4 %
999954 Samuel (#41) 49.9 10 5.0 98 90.0 %
999958 Charles (#42) 44.6 31 1.5 29 90.3 %
999973 Jose (#43) 32.1 48 0.7 18 81.3 %
999953 David (#44) 53.8 26 2.1 32 84.6 %
999985 Lauren (#45) 21.5 62 0.4 15 64.5 %
999961 Courtney (#46) 40.6 25 1.6 35 92.0 %
999953 Kimberly (#47) 50.8 28 1.8 35 89.3 %
999961 Olivia (#48) 45.7 17 2.7 47 82.4 %
999959 Morgan (#49) 43.2 17 2.5 57 94.1 %
999961 Austin (#50) 39.6 34 1.2 26 94.1 %
999965 Richard (#51) 46.3 15 3.1 60 73.3 %
999969 Samantha (#52) 40.5 15 2.7 55 73.3 %
999975 Alyssa (#53) 25.7 32 0.8 22 93.8 %
999966 Dylan (#54) 37.5 22 1.7 36 86.4 %
999984 Sarah (#55) 20.2 11 1.8 85 72.7 %
999982 Rebecca (#56) 21.4 19 1.1 41 79.0 %
999984 Emily (#57) 15.8 13 1.2 58 92.3 %
999977 Mary (#58) 25.7 20 1.3 49 85.0 %
999987 James (#59) 14.3 8 1.8 78 87.5 %
999984 Hannah (#60) 16.1 12 1.3 59 91.7 %
999969 Patrick (#61) 35.8 12 3.0 83 83.3 %
999982 Jacob (#62) 17.5 13 1.4 64 92.3 %
999980 Benjamin (#63) 19.9 28 0.7 28 92.9 %
999994 Nathan (#64) 5.5 6 1.0 93 83.3 %
999974 Erin (#65) 28.3 16 1.8 57 87.5 %
999985 Chelsea (#66) 15.2 23 0.7 34 91.3 %
999963 Robert (#67) 44.1 11 4.0 89 81.8 %
999992 Daniel (#68) 7.5 16 0.5 47 87.5 %
999997 Juan (#69) 2.2 9 0.2 64 88.9 %
999997 Kyle (#70) 1.8 7 0.3 82 85.7 %
999988 Michael (#71) 14.1 26 0.5 32 76.9 %
1000004 Matthew (#72) -5.9 7 -0.9 80 85.7 %
999990 Nicole (#73) 12.3 21 0.6 38 71.4 %
999990 Haley (#74) 10.3 16 0.6 57 87.5 %
1000010 Amanda (#75) -14.2 10 -1.4 57 80.0 %
1000011 Brandon (#76) -18.5 6 -3.0 93 66.7 %
999994 Elizabeth (#77) 6.3 16 0.4 58 87.5 %
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