Dec 31, 2014	4,544.837
Jan 30, 2015	4,462.486
Feb 27, 2015	4,723.937
Mar 31, 2015	4,649.991
Apr 30, 2015	4,759.045
May 29, 2015	4,775.439
Jun 30, 2015	4,664.399
Jul 31, 2015	4,748.125
Aug 31, 2015	4,433.920
Sep 30, 2015	4,270.377
Oct 30, 2015	4,608.780
Nov 30, 2015	4,585.848
Dec 31, 2015	4,505.241
Jan 29, 2016	4,235.718
Feb 29, 2016	4,204.194
Mar 31, 2016	4,489.486
Apr 29, 2016	4,560.526
May 31, 2016	4,586.140
Jun 30, 2016	4,534.751
Jul 29, 2016	4,726.337
Aug 31, 2016	4,730.265
Sep 30, 2016	4,755.392
Oct 31, 2016	4,663.361
Nov 30, 2016	4,730.416
Dec 30, 2016	4,843.607
Jan 31, 2017	4,960.508
Feb 28, 2017	5,098.130
Mar 31, 2017	5,152.435
Apr 28, 2017	5,228.726
May 31, 2017	5,339.337
Jun 30, 2017	5,359.880
Jul 31, 2017	5,488.155
Aug 31, 2017	5,495.883
Sep 29, 2017	5,619.234
Oct 31, 2017	5,725.429
Nov 30, 2017	5,849.485
Dec 29, 2017	5,928.591
Jan 31, 2018	6,241.621
Feb 28, 2018	5,983.047
Mar 30, 2018	5,852.638
Apr 30, 2018	5,919.891
May 31, 2018	5,956.988
Jun 29, 2018	5,954.146
Jul 31, 2018	6,140.115
Aug 31, 2018	6,216.086
Sep 28, 2018	6,250.698
Oct 31, 2018	5,791.723
Nov 30, 2018	5,857.516
Dec 31, 2018	5,412.122
Jan 31, 2019	5,833.217
Feb 28, 2019	6,008.621
Mar 29, 2019	6,087.541
Apr 30, 2019	6,303.401
May 31, 2019	5,939.689
Jun 28, 2019	6,331.084
Jul 31, 2019	6,362.444
Aug 30, 2019	6,232.303
Sep 30, 2019	6,364.933
Oct 31, 2019	6,526.904
Nov 29, 2019	6,708.680
Dec 31, 2019	6,909.660

Calculate the effective annual rate with monthly compounding given this dataset