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


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Sort Factor Algorithm % Result # Trades % Result/Trade Days/Trade Hit % Detailed View
999964 Daniel (#1) 40.1 16 2.5 30 87.5 %
999971 Mark (#2) 33.8 12 2.8 34 83.3 %
999971 Chelsea (#3) 32.0 17 1.9 26 88.2 %
999975 Richard (#4) 32.2 8 4.0 51 75.0 %
999973 Emily (#5) 31.6 10 3.2 48 80.0 %
999972 Jacob (#6) 30.7 7 4.4 67 85.7 %
999974 Samuel (#7) 30.3 6 5.0 54 83.3 %
999978 Samantha (#8) 28.0 8 3.5 54 75.0 %
999976 Hannah (#9) 26.5 6 4.5 78 83.3 %
999977 Benjamin (#10) 25.6 19 1.4 23 84.2 %
999981 Haley (#11) 24.4 8 3.0 57 75.0 %
999982 Erin (#12) 24.1 11 2.2 39 72.7 %
999983 Courtney (#13) 22.5 10 2.3 43 70.0 %
999982 Michelle (#14) 21.8 9 2.4 45 77.8 %
999983 Robert (#15) 22.5 7 3.1 67 71.4 %
999982 Alyssa (#16) 20.4 20 1.0 22 85.0 %
999984 Patrick (#17) 19.5 8 2.5 61 75.0 %
999985 Morgan (#18) 19.0 8 2.4 62 75.0 %
999985 Mary (#19) 17.0 10 1.7 49 80.0 %
999984 Charles (#20) 18.6 14 1.4 30 78.6 %
999988 Matthew (#21) 14.7 8 1.9 72 75.0 %
999988 Dylan (#22) 16.1 10 1.6 42 70.0 %
999988 Elizabeth (#23) 15.7 9 1.8 48 66.7 %
999988 Austin (#24) 15.3 21 0.7 20 76.2 %
999990 Olivia (#25) 14.9 8 1.9 50 62.5 %
999987 Kyle (#26) 13.5 9 1.6 64 88.9 %
999989 Allison (#27) 13.2 26 0.5 17 76.9 %
999987 Joshua (#28) 14.0 17 0.8 28 88.2 %
999989 Kevin (#29) 14.4 11 1.3 36 72.7 %
999989 Joseph (#30) 12.1 16 0.8 26 81.3 %
999991 Brandon (#31) 10.1 6 1.7 66 83.3 %
999993 Kimberly (#32) 7.9 13 0.6 36 69.2 %
999992 Nathan (#33) 7.5 6 1.3 95 83.3 %
999992 Juan (#34) 8.0 11 0.7 52 90.9 %
999992 John (#35) 9.9 44 0.2 9 70.5 %
999994 Kaitlyn (#36) 6.6 40 0.2 10 70.0 %
999994 Adam (#37) 5.8 41 0.2 9 75.6 %
999995 Alexander (#38) 4.8 36 0.1 10 75.0 %
999998 Cody (#39) 2.2 11 0.2 38 72.7 %
999994 Abigail (#40) 5.7 51 0.1 7 78.4 %
999998 Amanda (#41) 1.2 6 0.2 66 83.3 %
999997 Amber (#42) 2.5 39 0.1 10 71.8 %
999998 Andrew (#43) 0.7 32 0.0 11 68.8 %
1000001 Jordan (#44) -3.0 28 -0.1 13 71.4 %
1000000 Brianna (#45) -2.4 19 -0.1 18 68.4 %
1000002 Brian (#46) -3.8 25 -0.2 14 72.0 %
1000002 Laura (#47) -3.8 37 -0.1 10 70.3 %
1000002 Jonathan (#48) -5.0 30 -0.2 12 70.0 %
1000003 Anna (#49) -5.2 26 -0.2 14 73.1 %
1000002 Kayla (#50) -5.3 22 -0.2 16 63.6 %
1000003 Jessica (#51) -6.2 59 -0.1 7 61.0 %
1000002 Justin (#52) -5.3 57 -0.1 7 57.9 %
1000004 Alexandra (#53) -6.0 28 -0.2 13 75.0 %
1000003 Cameron (#54) -7.3 13 -0.5 30 53.9 %
1000004 David (#55) -8.4 10 -0.8 42 60.0 %
1000005 Michael (#56) -8.9 8 -1.1 53 62.5 %
1000005 Nicole (#57) -7.9 8 -1.0 54 75.0 %
1000005 Nicholas (#58) -10.6 15 -0.7 26 53.3 %
1000004 Katherine (#59) -8.1 27 -0.3 13 66.7 %
1000006 Lauren (#60) -11.0 22 -0.5 17 63.6 %
1000008 Alexis (#61) -11.9 24 -0.5 17 75.0 %
1000007 Anthony (#62) -11.2 25 -0.4 16 72.0 %
1000006 Madison (#63) -11.7 17 -0.7 21 58.8 %
1000007 Aaron (#64) -12.5 64 -0.2 7 68.8 %
1000007 Jesse (#65) -13.4 95 -0.1 5 57.9 %
1000008 Christopher (#66) -15.3 15 -1.0 27 60.0 %
1000007 Megan (#67) -15.2 21 -0.7 18 52.4 %
1000009 Christina (#68) -16.2 16 -1.0 25 62.5 %
1000009 Jose (#69) -15.6 19 -0.8 23 63.2 %
1000010 Brittany (#70) -17.1 17 -1.0 23 64.7 %
1000011 Ashley (#71) -18.0 17 -1.1 24 64.7 %
1000011 Kelsey (#72) -22.2 13 -1.7 32 53.9 %
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