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 "Match Group Inc (MTCH)"

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

Find The Lastest Buy Signals for MTCH Below.



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Algorithms Results since Jan/2010


  to  
Sort Factor Algorithm % Result # Trades % Result/Trade Days/Trade Hit % Detailed View
999957 Lauren (#1) 61.6 62 1.0 17 67.7 %
999987 Andrew (#2) 16.5 88 0.2 12 72.7 %
999963 Jesse (#3) 64.9 259 0.3 5 56.0 %
999983 Jordan (#4) 23.1 57 0.4 18 68.4 %
999993 Laura (#5) 10.8 93 0.1 12 58.1 %
1000000 Nicole (#6) -2.0 23 -0.1 43 60.9 %
999996 Katherine (#7) 5.2 68 0.1 15 69.1 %
999993 Adam (#8) 8.2 97 0.1 11 70.1 %
1000013 Alexander (#9) -20.1 82 -0.2 12 69.5 %
1000010 Cody (#10) -17.0 20 -0.9 49 65.0 %
1000019 Anna (#11) -27.6 68 -0.4 15 70.6 %
1000005 Nicholas (#12) -11.4 39 -0.3 26 56.4 %
999978 Sarah (#13) 34.1 8 4.3 115 62.5 %
1000025 Brianna (#14) -39.0 52 -0.8 19 67.3 %
999984 Megan (#15) 30.1 60 0.5 17 51.7 %
1000016 Michael (#16) -28.6 24 -1.2 41 58.3 %
999991 Jacob (#17) 12.7 8 1.6 114 62.5 %
1000028 Joseph (#18) -40.6 31 -1.3 32 71.0 %
999936 Shelby (#19) 74.7 6 12.5 140 83.3 %
999953 James (#20) 52.0 9 5.8 99 88.9 %
1000008 John (#21) -14.3 97 -0.1 11 66.0 %
1000018 Brian (#22) -28.6 67 -0.4 15 67.2 %
1000012 Aaron (#23) -21.5 152 -0.1 8 62.5 %
1000009 Jonathan (#24) -13.8 80 -0.2 13 71.3 %
1000013 Jose (#25) -20.4 34 -0.6 30 67.7 %
1000015 Michelle (#26) -28.1 16 -1.8 59 56.3 %
1000017 Kaitlyn (#27) -28.3 90 -0.3 12 65.6 %
1000003 Kayla (#28) -6.0 46 -0.1 22 60.9 %
999998 Robert (#29) 1.5 7 0.3 132 71.4 %
999974 Kimberly (#30) 32.8 16 2.1 60 75.0 %
1000025 Mark (#31) -41.8 21 -2.0 46 61.9 %
999990 Samuel (#32) 11.9 7 1.7 133 71.4 %
1000017 Rebecca (#33) -34.0 19 -1.8 51 52.6 %
1000025 Melissa (#34) -43.4 35 -1.2 28 60.0 %
1000042 Alexandra (#35) -63.3 59 -1.1 17 67.8 %
1000007 Emily (#36) -11.1 10 -1.1 90 70.0 %
1000026 Dylan (#37) -39.3 16 -2.4 62 68.8 %
1000019 Abigail (#38) -30.0 118 -0.3 9 65.3 %
1000025 Amber (#39) -38.8 98 -0.4 11 67.4 %
1000042 Kevin (#40) -64.7 26 -2.5 38 65.4 %
1000025 Madison (#41) -47.4 38 -1.2 26 55.3 %
1000026 Cameron (#42) -43.3 22 -2.0 45 63.6 %
1000008 Morgan (#43) -12.9 10 -1.3 93 70.0 %
1000028 Kelsey (#44) -47.4 29 -1.6 35 62.1 %
1000022 Olivia (#45) -40.2 12 -3.3 78 58.3 %
1000036 David (#46) -65.4 21 -3.1 48 57.1 %
1000050 Christina (#47) -80.0 39 -2.1 25 64.1 %
1000022 Courtney (#48) -32.2 14 -2.3 68 71.4 %
1000000 Patrick (#49) -0.7 8 -0.1 118 62.5 %
1000012 Haley (#50) -21.3 8 -2.6 115 62.5 %
1000048 Anthony (#51) -72.9 49 -1.5 20 67.4 %
1000016 Mary (#52) -26.0 12 -2.2 79 66.7 %
999999 Richard (#53) -0.3 11 0.0 85 63.6 %
999999 Samantha (#54) 0.3 10 0.0 92 70.0 %
1000013 Hannah (#55) -18.6 7 -2.7 125 71.4 %
1000046 Allison (#56) -67.7 33 -2.1 30 69.7 %
1000018 Elizabeth (#57) -30.1 8 -3.8 114 62.5 %
1000016 Daniel (#58) -23.5 12 -1.9 76 75.0 %
1000035 Charles (#59) -51.2 17 -3.0 57 70.6 %
1000022 Chelsea (#60) -32.7 13 -2.5 72 69.2 %
1000045 Christopher (#61) -75.9 25 -3.0 40 60.0 %
1000048 Ashley (#62) -81.0 33 -2.5 30 60.6 %
1000025 Erin (#63) -42.2 8 -5.3 114 62.5 %
1000057 Austin (#64) -83.7 23 -3.7 43 69.6 %
1000070 Alexis (#65) -103.1 42 -2.5 24 69.1 %
1000028 Sara (#66) -50.6 7 -7.3 120 57.1 %
1000064 Maria (#67) -124.6 25 -5.0 40 52.0 %
1000048 Benjamin (#68) -74.3 18 -4.1 53 66.7 %
1000028 Nathan (#69) -49.2 12 -4.1 70 58.3 %
1000073 Brittany (#70) -116.8 35 -3.3 28 62.9 %
1000065 Alyssa (#71) -92.3 21 -4.4 46 71.4 %
1000032 Kyle (#72) -46.5 10 -4.7 82 70.0 %
1000044 Justin (#73) -74.7 145 -0.5 8 60.0 %
1000026 Juan (#74) -46.9 12 -3.9 69 58.3 %
1000048 Jessica (#75) -84.7 142 -0.6 8 57.8 %
1000041 Amanda (#76) -50.1 6 -8.3 122 83.3 %
1000058 Joshua (#77) -111.4 17 -6.5 57 52.9 %
1000046 Matthew (#78) -82.4 14 -5.9 61 57.1 %
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