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
999957 Rebecca (#1) 50.8 11 4.6 30 81.8 %
999969 Lauren (#2) 38.3 24 1.6 14 79.2 %
999969 Madison (#3) 38.1 18 2.1 18 77.8 %
999959 Rachel (#4) 39.5 6 6.7 72 100.0 %
999964 Christian (#5) 34.8 11 3.2 41 100.0 %
999969 Kelsey (#6) 37.2 16 2.3 19 81.3 %
999971 Dylan (#7) 34.1 12 2.8 28 83.3 %
999965 Matthew (#8) 33.9 9 3.8 47 100.0 %
999972 Maria (#9) 34.2 14 2.4 21 78.6 %
999966 Eric (#10) 32.9 6 5.5 75 100.0 %
999970 Michael (#11) 31.4 13 2.4 23 92.3 %
999971 Elizabeth (#12) 31.1 9 3.4 42 88.9 %
999968 Heather (#13) 31.3 6 5.2 79 100.0 %
999976 Courtney (#14) 31.4 11 2.8 33 72.7 %
999967 Danielle (#15) 32.5 7 4.6 63 100.0 %
999979 Laura (#16) 28.9 37 0.8 9 70.3 %
999974 Cody (#17) 29.7 12 2.5 26 83.3 %
999974 Charles (#18) 30.0 12 2.5 29 83.3 %
999973 Erin (#19) 28.6 9 3.2 40 88.9 %
999977 Christopher (#20) 29.8 15 2.0 20 73.3 %
999973 Nathan (#21) 30.1 7 4.3 61 85.7 %
999977 Cameron (#22) 28.3 13 2.2 24 76.9 %
999973 Kyle (#23) 26.4 11 2.4 39 100.0 %
999976 Jacob (#24) 27.4 6 4.5 69 83.3 %
999974 Nicole (#25) 27.5 11 2.5 28 90.9 %
999975 Benjamin (#26) 25.8 12 2.2 32 91.7 %
999975 Samantha (#27) 27.8 7 4.0 42 85.7 %
999975 Kimberly (#28) 26.3 11 2.4 35 90.9 %
999978 Kayla (#29) 26.4 20 1.3 16 80.0 %
999981 Christina (#30) 25.7 17 1.5 19 70.6 %
999977 Jose (#31) 27.1 17 1.6 18 82.4 %
999979 Megan (#32) 26.6 20 1.4 17 75.0 %
999981 David (#33) 25.1 11 2.3 29 72.7 %
999978 Austin (#34) 24.9 14 1.8 24 85.7 %
999978 Ryan (#35) 25.1 6 4.2 75 83.3 %
999982 Brittany (#36) 23.3 16 1.4 20 75.0 %
999981 Joshua (#37) 21.8 12 1.8 33 83.3 %
999977 Morgan (#38) 22.3 7 3.1 56 100.0 %
999979 Juan (#39) 21.7 11 2.0 39 90.9 %
999984 Katherine (#40) 20.2 25 0.8 13 76.0 %
999982 Allison (#41) 21.4 15 1.4 22 80.0 %
999978 Daniel (#42) 21.2 7 3.0 56 100.0 %
999984 Mark (#43) 20.9 10 2.1 32 70.0 %
999982 Olivia (#44) 19.8 6 3.3 54 83.3 %
999981 Amanda (#45) 21.1 14 1.5 32 85.7 %
999984 Richard (#46) 17.8 6 3.0 57 83.3 %
999984 Chelsea (#47) 17.2 7 2.4 55 85.7 %
999984 Brandon (#48) 19.1 10 1.9 43 80.0 %
999986 Michelle (#49) 18.3 8 2.3 40 75.0 %
999982 Mary (#50) 16.9 7 2.4 56 100.0 %
999984 Emily (#51) 17.9 6 3.0 67 83.3 %
999986 Brian (#52) 16.8 24 0.7 13 75.0 %
999988 Brianna (#53) 16.5 21 0.8 15 71.4 %
999987 Ashley (#54) 17.1 14 1.2 22 71.4 %
999988 Kevin (#55) 15.8 12 1.3 27 66.7 %
999986 Jordan (#56) 17.3 22 0.8 14 77.3 %
999985 Alyssa (#57) 16.7 13 1.3 29 84.6 %
999990 Joseph (#58) 13.3 17 0.8 19 70.6 %
999988 Anna (#59) 14.5 24 0.6 13 79.2 %
999990 Nicholas (#60) 14.1 15 0.9 21 66.7 %
999990 Anthony (#61) 13.3 20 0.7 15 70.0 %
999991 Alexander (#62) 11.0 26 0.4 12 76.9 %
999992 Melissa (#63) 11.4 15 0.7 21 66.7 %
999990 Jonathan (#64) 11.7 27 0.4 12 74.1 %
999992 Andrew (#65) 9.2 28 0.3 11 75.0 %
999990 Alexandra (#66) 10.6 22 0.5 14 77.3 %
999993 Jesse (#67) 9.4 94 0.1 4 67.0 %
999991 Alexis (#68) 11.4 17 0.7 19 70.6 %
999995 Kaitlyn (#69) 5.7 36 0.2 10 69.4 %
1000000 Justin (#70) -1.6 54 -0.0 7 68.5 %
1000000 Amber (#71) -1.9 37 -0.1 9 73.0 %
1000000 Abigail (#72) -1.6 44 -0.1 8 72.7 %
1000001 Jessica (#73) -2.8 55 -0.1 7 65.5 %
1000000 Adam (#74) -1.5 34 -0.0 10 73.5 %
1000000 John (#75) -2.1 39 -0.1 9 74.4 %
1000004 Aaron (#76) -7.0 62 -0.1 6 72.6 %
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