Actualización de dax

Hay volvemos a ganar y volvemos a comprar una nueva operación al cierre

	close	decision4	clase1	roc5	dif5	dif1
Date
2017-09-13	12553.570313	1	0.004751	0.027756	339.030274	28.800782
2017-09-14	12540.450195	1	0.005874	0.019828	243.820312	-13.120118
2017-09-15	12518.809570	1	0.002820	0.017460	214.829101	-21.640625
2017-09-18	12559.389648	1	0.003456	0.006745	84.149414	40.580078
2017-09-19	12561.790039	1	0.007020	0.002956	37.020508	2.400391
2017-09-20	12569.169922	1	0.008303	0.001243	15.599609	7.379883
2017-09-21	12600.030273	1	0.028982	0.004751	59.580078	30.860351
2017-09-22	12592.349609	1	0.024542	0.005874	73.540039	-7.680664
2017-09-25	12594.809570	1	0.019779	0.002820	35.419922	2.459961
2017-09-26	12605.200195	1	0.011501	0.003456	43.410156	10.390625
2017-09-27	12657.410156	1	0.003612	0.007020	88.240234	52.209961
2017-09-28	12704.650391	1	0.000012	0.008303	104.620118	47.240235
2017-10-04	12970.519531	1	0.001144	0.028982	365.319336	67.869140
2017-10-05	12968.049805	1	0.002773	0.024542	310.639649	-2.469726
2017-10-06	12955.940430	1	NaN	0.019779	251.290039	-12.109375
2017-10-09	12976.400391	1	NaN	0.011501	147.540039	20.459961
2017-10-10	12949.250000	1	NaN	0.003612	46.599609	-27.150391
2017-10-11	12970.679688	1	NaN	0.000012	0.160157	21.429688
2017-10-12	12982.889648	1	NaN	0.001144	14.839843	12.209960
2017-10-13	12991.870117	1	NaN	0.002773	35.929687	8.980469

Los resultados mensuales querarían tal como:

Month	1	2	3	4	5	6	7	8	9	10	11	12	All
Year
2000	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.007144	0.203957	0.119955	0.331055
2001	-0.180286	0.128471	0.336032	0.475527	-0.011593	0.154175	0.190375	0.143134	0.397245	0.403771	0.311837	0.056884	2.405571
2002	0.205642	-0.198378	0.000000	0.000000	0.033423	0.211700	0.000000	-0.075754	0.121943	0.697861	0.072671	0.016157	1.085266
2003	0.469546	0.323713	0.116096	-0.342434	-0.048480	0.072029	0.118961	0.233904	0.003886	0.439371	0.071363	0.000000	1.457956
2004	0.000000	0.063786	-0.131005	-0.120069	0.057647	-0.022897	-0.222948	-0.240440	0.173052	-0.032910	0.155883	0.091778	-0.228121
2005	0.042010	0.050651	-0.017076	-0.115081	0.253155	0.068709	0.264958	0.086445	0.060983	-0.026971	0.234670	0.202481	1.104932
2006	0.134666	0.094411	0.211380	0.062371	-0.348538	-0.034212	-0.006166	0.150944	0.188595	0.199248	0.061726	0.202740	0.917164
2007	0.169770	-0.194965	0.364160	0.263037	0.140649	0.288837	0.000000	0.011648	0.295015	-0.092694	0.084174	-0.066527	1.263102
2008	-0.358177	0.000000	-0.018615	-0.087436	0.101445	0.203820	0.014431	0.164804	0.445807	-0.001902	0.000000	0.069407	0.533583
2009	0.228245	0.220142	0.758686	0.319809	0.005265	0.000000	0.137282	0.154516	0.128518	0.104444	0.000000	0.170150	2.227056
2010	-0.344794	0.233401	0.335535	-0.157890	0.035040	-0.011365	0.329535	-0.141362	0.087640	0.363593	0.209359	-0.018835	0.919857
2011	0.208291	-0.036698	0.167407	0.137139	-0.215828	0.222874	-0.175406	0.000000	0.479150	0.044948	-0.014900	-0.125994	0.690982
2012	-0.196604	0.000000	0.000000	-0.035087	-0.084594	0.000000	0.130655	0.171512	0.150396	-0.009572	0.166109	0.160002	0.452817
2013	-0.068283	0.167893	-0.093884	0.245779	-0.014526	-0.146696	0.272446	-0.053399	0.212443	0.242378	0.065077	0.034951	0.864178
2014	-0.122364	0.135034	0.134382	-0.021571	0.221586	-0.033648	-0.423434	0.101043	-0.320627	-0.017898	0.159230	-0.170604	-0.358871
2015	0.612019	0.274179	0.000000	0.000000	0.000000	0.000000	0.000000	0.052217	-0.022955	0.361934	0.087990	-0.070711	1.294672
2016	0.000000	0.000000	-0.033300	0.288966	-0.024766	-0.082094	0.064170	0.078140	-0.054887	0.046064	0.159641	0.344025	0.785960
2017	0.019317	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.033260	0.260545	0.003918	NaN	NaN	0.317040
All	0.818999	1.261639	2.129797	0.913062	0.099885	0.891230	0.694859	0.870612	2.606748	2.732727	2.028786	1.015858	16.064201

Como podemos ver desde agosto llevamos un 30% que no esta nada mal.