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 "Metlife Inc (MET)"

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

Find The Lastest Buy Signals for MET Below.



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Algorithms Results since Jan/2010


  to  
Sort Factor Algorithm % Result # Trades % Result/Trade Days/Trade Hit % Detailed View
999936 Rachel (#1) 63.5 7 9.0 51 100.0 %
999952 Ryan (#2) 56.2 6 9.3 60 83.3 %
999959 Kyle (#3) 43.6 10 4.4 36 90.0 %
999954 Nathan (#4) 45.1 8 5.6 45 100.0 %
999957 Matthew (#5) 41.6 8 5.3 45 100.0 %
999966 Alyssa (#6) 36.0 21 1.7 19 90.5 %
999966 Chelsea (#7) 35.9 14 2.6 29 92.9 %
999969 Jacob (#8) 35.9 6 6.0 63 83.3 %
999970 Juan (#9) 32.3 12 2.7 31 91.7 %
999976 Rebecca (#10) 35.5 14 2.5 36 64.3 %
999972 Benjamin (#11) 31.5 17 1.8 24 88.2 %
999972 Hannah (#12) 33.4 6 5.5 60 83.3 %
999975 Jesse (#13) 37.7 142 0.3 4 63.4 %
999977 Nicole (#14) 33.0 12 2.8 39 66.7 %
999968 Mary (#15) 34.1 13 2.6 34 92.3 %
999972 Courtney (#16) 31.5 12 2.7 38 83.3 %
999972 Christian (#17) 30.5 7 4.4 40 85.7 %
999971 Haley (#18) 30.9 9 3.4 48 88.9 %
999977 Madison (#19) 32.1 23 1.4 21 69.6 %
999972 Patrick (#20) 30.9 7 4.4 64 85.7 %
999972 Daniel (#21) 29.8 11 2.7 35 90.9 %
999975 Jessica (#22) 32.8 81 0.4 6 74.1 %
999978 Samantha (#23) 30.0 7 4.3 68 71.4 %
999976 James (#24) 27.3 6 4.5 58 83.3 %
999976 Danielle (#25) 26.9 6 4.5 47 83.3 %
999975 Elizabeth (#26) 26.0 11 2.4 40 90.9 %
999976 Brandon (#27) 25.6 9 2.9 31 88.9 %
999978 Emily (#28) 24.5 7 3.6 52 85.7 %
999977 Amanda (#29) 24.3 11 2.2 26 90.9 %
999977 Kimberly (#30) 25.7 13 2.0 34 84.6 %
999980 Sarah (#31) 22.7 6 3.8 76 83.3 %
999979 Joshua (#32) 22.7 17 1.4 26 88.2 %
999981 Erin (#33) 23.6 8 3.0 58 75.0 %
999986 Michael (#34) 19.2 12 1.6 38 66.7 %
999981 Morgan (#35) 19.8 9 2.2 49 88.9 %
999982 Robert (#36) 20.0 6 3.3 73 83.3 %
999985 Richard (#37) 16.4 7 2.3 69 85.7 %
999987 Charles (#38) 16.1 13 1.2 34 76.9 %
999988 Kayla (#39) 14.8 26 0.6 19 73.1 %
999988 Brittany (#40) 15.0 23 0.7 21 73.9 %
999990 Nicholas (#41) 15.6 22 0.7 22 59.1 %
999990 Christina (#42) 12.7 22 0.6 22 68.2 %
999989 Brianna (#43) 14.1 27 0.5 18 70.4 %
999990 Melissa (#44) 12.8 23 0.6 21 69.6 %
999985 Megan (#45) 16.6 30 0.6 16 80.0 %
999990 Michelle (#46) 13.0 7 1.9 70 71.4 %
999989 Aaron (#47) 14.4 87 0.2 6 69.0 %
999993 Anthony (#48) 10.4 28 0.4 17 64.3 %
999992 Olivia (#49) 9.9 7 1.4 70 71.4 %
999994 Alexis (#50) 7.4 28 0.3 17 75.0 %
999991 Laura (#51) 12.2 47 0.3 11 63.8 %
999994 Allison (#52) 6.1 18 0.3 24 83.3 %
999993 Dylan (#53) 8.5 9 1.0 55 66.7 %
999992 Anna (#54) 10.4 36 0.3 14 72.2 %
999991 Brian (#55) 10.6 34 0.3 14 73.5 %
999995 Jose (#56) 5.9 18 0.3 25 61.1 %
999994 Cody (#57) 7.0 14 0.5 34 71.4 %
999995 Justin (#58) 7.0 79 0.1 7 62.0 %
999997 Kelsey (#59) 2.6 16 0.2 29 56.3 %
999993 Alexander (#60) 8.4 45 0.2 11 75.6 %
999996 Austin (#61) 4.2 16 0.3 27 81.3 %
999996 Cameron (#62) 4.0 17 0.2 28 70.6 %
999996 Alexandra (#63) 4.8 33 0.2 15 66.7 %
999999 Ashley (#64) 0.0 20 0.0 23 75.0 %
1000000 Maria (#65) -2.5 13 -0.2 35 53.9 %
1000001 Jordan (#66) -2.8 29 -0.1 17 69.0 %
1000000 Mark (#67) -1.8 9 -0.2 54 55.6 %
999998 Katherine (#68) 1.3 36 0.0 14 66.7 %
999997 Lauren (#69) 3.2 33 0.1 14 63.6 %
999998 John (#70) 1.1 57 0.0 9 73.7 %
1000001 Joseph (#71) -3.2 15 -0.2 32 80.0 %
1000000 Abigail (#72) -1.9 69 -0.0 7 73.9 %
1000000 Andrew (#73) -1.6 45 -0.0 11 73.3 %
1000002 Kevin (#74) -5.4 13 -0.4 37 69.2 %
1000000 Adam (#75) -1.0 55 -0.0 9 74.6 %
999998 Jonathan (#76) 0.6 42 0.0 12 69.1 %
1000001 Amber (#77) -3.3 58 -0.1 8 72.4 %
1000004 Christopher (#78) -9.4 15 -0.6 30 60.0 %
1000003 Kaitlyn (#79) -7.9 50 -0.2 10 56.0 %
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