{ "cells": [ { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "text/html": [ " \n", " " ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Import libraries\n", "import PortfolioLab as pl\n", "import cufflinks as cf\n", "import pandas as pd\n", "\n", "# Set cufflinks offline\n", "cf.go_offline()" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [], "source": [ "def read_xlsl_MSCI(tickers, nomes, start='1990', end='2100'):\n", " MSCIs = pd.DataFrame()\n", " \n", " for ticker in tickers:\n", " # Read relevant information\n", " MSCI = pd.read_excel(ticker + '.xlsx').iloc[6:].dropna()\n", " # Rename columns\n", " MSCI.columns = ['Date', 'Price']\n", " # Convert the date column to datetime\n", " MSCI['Date'] = pd.to_datetime(MSCI['Date'])\n", " # Set date column as index\n", " MSCI.set_index('Date', inplace=True)\n", " # Merge\n", " MSCIs = pl.merge_time_series(MSCIs, MSCI, how='outer').dropna()\n", " # Start / End\n", " MSCIs = MSCIs[start:end]\n", " # Growth Index\n", " MSCIs = pl.compute_growth_index(MSCIs)\n", " \n", " MSCIs.columns = nomes\n", " \n", " return MSCIs" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Como podem ver a função read_xlsl_MSCI é em tudo semelhante à read_csv_investing. Mas neste caso os ficheiros devem ser ficheiros excel. Por defeito tenho que os ficheiros são .xlsx por isso é essa a extensão que os ficheiros deverão ter. Têm nada mesma a start e end se quiserem colocar outras datas à vossa preferência. A função está aqui apenas para visualização. Já está programada e devem usar pl.read_xlsl_MSCI como está no código abaixo sendo desnecessário copiarem a função para vosso código. Os ficheiros encontram-se na pasta partilhada como de costume mas também podem ir buscra outros índices MSCI ao site deles. Lembrem-se contudo que devem sacar a versão \"Gross\" dos mesmos e que deverão ser denominados na mesma moeda para serem comparáveis." ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [], "source": [ "MSCIs = pl.read_xlsl_MSCI(tickers=['MSCI_World_EUR', 'MSCI_EM_EUR'], \n", " nomes=['World €', 'EM €'])" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "linkText": "Export to plot.ly", "plotlyServerURL": "https://plot.ly", "showLink": true }, "data": [ { "line": { "color": "rgba(255, 153, 51, 1.0)", "dash": "solid", "shape": "linear", "width": 1.3 }, "mode": "lines", "name": "World €", "text": "", "type": "scatter", "x": [ "1998-12-31", "1999-01-29", "1999-02-26", "1999-03-31", "1999-04-30", "1999-05-31", "1999-06-30", "1999-07-30", "1999-08-31", "1999-09-30", "1999-10-29", "1999-11-30", "1999-12-31", "2000-01-31", "2000-02-29", "2000-03-31", "2000-04-28", "2000-05-31", "2000-06-30", "2000-07-31", "2000-08-31", "2000-09-29", "2000-10-31", "2000-11-30", "2000-12-29", "2001-01-31", "2001-02-28", "2001-03-30", "2001-04-30", "2001-05-31", "2001-06-29", "2001-07-31", "2001-08-31", "2001-09-28", "2001-10-31", "2001-11-30", "2001-12-31", "2002-01-31", "2002-02-28", "2002-03-29", "2002-04-30", "2002-05-31", "2002-06-28", "2002-07-31", "2002-08-30", "2002-09-30", "2002-10-31", "2002-11-29", "2002-12-31", "2003-01-31", "2003-02-28", "2003-03-31", "2003-04-30", "2003-05-30", "2003-06-30", "2003-07-31", "2003-08-29", "2003-09-30", "2003-10-31", "2003-11-28", "2003-12-31", "2004-01-30", "2004-02-27", "2004-03-31", "2004-04-30", "2004-05-31", "2004-06-30", "2004-07-30", "2004-08-31", "2004-09-30", "2004-10-29", "2004-11-30", "2004-12-31", "2005-01-31", "2005-02-28", "2005-03-31", "2005-04-29", "2005-05-31", "2005-06-30", "2005-07-29", "2005-08-31", "2005-09-30", "2005-10-31", "2005-11-30", "2005-12-30", "2006-01-31", "2006-02-28", "2006-03-31", "2006-04-28", "2006-05-31", "2006-06-30", "2006-07-31", "2006-08-31", "2006-09-29", "2006-10-31", "2006-11-30", "2006-12-29", "2007-01-31", "2007-02-28", "2007-03-30", "2007-04-30", "2007-05-31", "2007-06-29", "2007-07-31", "2007-08-31", "2007-09-28", "2007-10-31", "2007-11-30", "2007-12-31", "2008-01-31", "2008-02-29", "2008-03-31", "2008-04-30", "2008-05-30", "2008-06-30", "2008-07-31", "2008-08-29", "2008-09-30", "2008-10-31", "2008-11-28", "2008-12-31", "2009-01-30", "2009-02-27", "2009-03-31", "2009-04-30", "2009-05-29", "2009-06-30", "2009-07-31", "2009-08-31", "2009-09-30", "2009-10-30", "2009-11-30", "2009-12-31", "2010-01-29", "2010-02-26", "2010-03-31", "2010-04-30", "2010-05-31", "2010-06-30", "2010-07-30", "2010-08-31", "2010-09-30", "2010-10-29", "2010-11-30", "2010-12-31", "2011-01-31", "2011-02-28", "2011-03-31", "2011-04-29", "2011-05-31", "2011-06-30", "2011-07-29", "2011-08-31", "2011-09-30", "2011-10-31", "2011-11-30", "2011-12-30", "2012-01-31", "2012-02-29", "2012-03-30", "2012-04-30", "2012-05-31", "2012-06-29", "2012-07-31", "2012-08-31", "2012-09-28", "2012-10-31", "2012-11-30", "2012-12-31", "2013-01-31", "2013-02-28", "2013-03-29", "2013-04-30", "2013-05-31", "2013-06-28", "2013-07-31", "2013-08-30", "2013-09-30", "2013-10-31", "2013-11-29", "2013-12-31", "2014-01-31", "2014-02-28", "2014-03-31", "2014-04-30", "2014-05-30", "2014-06-30", "2014-07-31", "2014-08-29", "2014-09-30", "2014-10-31", "2014-11-28", "2014-12-31", "2015-01-30", "2015-02-27", "2015-03-31", "2015-04-30", "2015-05-29", "2015-06-30", "2015-07-31", "2015-08-31", "2015-09-30", "2015-10-30", "2015-11-30", "2015-12-31", "2016-01-29", "2016-02-29", "2016-03-31", "2016-04-29", "2016-05-31", "2016-06-30", "2016-07-29", "2016-08-31", "2016-09-30", "2016-10-31", "2016-11-30", "2016-12-30", "2017-01-31", "2017-02-28", "2017-03-31", "2017-04-28", "2017-05-31", "2017-06-30", "2017-07-31", "2017-08-31", "2017-09-29", "2017-10-31", "2017-11-30", "2017-12-29", "2018-01-31", "2018-02-28", "2018-03-30", "2018-04-30", "2018-05-31", "2018-06-29", "2018-07-31", "2018-08-31", "2018-09-28", "2018-10-31", "2018-11-30", "2018-12-31", "2019-01-31", "2019-02-28", "2019-03-29", "2019-04-30", "2019-05-31", "2019-06-28", "2019-07-31", "2019-08-30", "2019-09-30", "2019-10-31", "2019-11-29", "2019-12-31", "2020-01-31", "2020-02-28", "2020-03-31", "2020-04-30", "2020-05-29", "2020-06-30", "2020-07-31", "2020-08-31" ], "y": [ 100, 105.67699999999999, 106.43299999999999, 112.74400000000003, 119.60300000000001, 116.91700000000003, 123.76300000000005, 118.91200000000003, 120.29100000000004, 118.16800000000005, 125.97100000000006, 135.2100000000001, 146.83500000000006, 141.83900000000008, 144.54400000000007, 155.49800000000008, 156.40200000000004, 149.80700000000002, 149.83900000000003, 150.66100000000006, 162.15200000000007, 154.69700000000006, 158.38000000000008, 144.8700000000001, 136.51500000000004, 140.4990000000001, 130.08800000000008, 126.46400000000008, 135.4530000000001, 139.91800000000012, 135.72200000000012, 129.58700000000007, 118.85500000000009, 108.11800000000007, 111.42300000000007, 118.73700000000007, 120.16300000000007, 120.52800000000008, 118.93800000000007, 123.16700000000007, 115.23800000000006, 111.40700000000005, 99.01600000000008, 91.34800000000006, 91.51000000000008, 80.84400000000005, 86.64600000000007, 90.92800000000008, 82.03300000000007, 77.76800000000006, 76.13200000000006, 74.99000000000005, 79.87200000000009, 80.15600000000008, 83.54800000000007, 86.98700000000008, 91.12600000000009, 86.45500000000008, 91.7650000000001, 90.37000000000009, 91.29000000000008, 94.19800000000006, 95.79300000000008, 96.24900000000008, 96.7030000000001, 95.8600000000001, 98.23100000000008, 96.05300000000008, 95.61200000000008, 95.35600000000008, 95.40500000000009, 96.15000000000008, 97.63100000000009, 99.53000000000009, 100.8860000000001, 101.0790000000001, 99.61400000000012, 106.07800000000015, 109.17400000000015, 112.63900000000015, 112.13800000000016, 117.39200000000017, 115.32300000000015, 121.13000000000017, 123.78100000000016, 125.63200000000016, 127.81800000000018, 128.7540000000002, 127.5150000000002, 120.89400000000022, 121.45700000000019, 122.48000000000022, 125.3390000000002, 128.2020000000002, 131.9340000000002, 130.2130000000002, 133.59100000000018, 137.19200000000023, 134.31300000000022, 135.78000000000023, 138.35600000000022, 144.3900000000002, 142.8070000000002, 137.8070000000002, 138.3280000000002, 138.9500000000002, 140.80600000000024, 133.17200000000017, 132.01400000000018, 120.42700000000019, 116.82900000000018, 110.91200000000019, 118.9060000000002, 121.0890000000002, 109.95300000000017, 108.34600000000016, 113.26200000000016, 104.64400000000013, 93.96900000000011, 87.89200000000011, 82.8480000000001, 82.01900000000012, 74.34300000000009, 76.52000000000011, 85.34800000000014, 87.24100000000014, 87.67700000000016, 94.11600000000017, 96.85800000000017, 98.91600000000017, 96.27100000000017, 98.52400000000017, 104.98200000000017, 103.90800000000017, 107.36500000000018, 115.05100000000019, 117.16200000000019, 114.91800000000019, 111.21600000000018, 113.07100000000018, 111.6250000000002, 113.6480000000002, 115.81400000000019, 121.0450000000002, 126.12900000000022, 126.23700000000022, 129.74700000000027, 125.09500000000024, 124.81500000000025, 126.26700000000027, 123.26800000000027, 122.14800000000025, 113.37200000000026, 111.20200000000024, 118.06300000000027, 119.41300000000028, 123.80700000000029, 128.97300000000033, 132.4460000000003, 134.82600000000028, 134.21100000000027, 131.40000000000026, 134.61200000000025, 140.53300000000024, 140.85600000000025, 141.86200000000028, 139.93200000000027, 141.27600000000027, 142.06500000000025, 145.05500000000032, 150.93200000000036, 157.34300000000033, 158.18500000000037, 161.12200000000038, 156.75100000000037, 161.56900000000036, 159.3080000000004, 163.00500000000036, 168.69600000000037, 171.5130000000004, 173.1210000000004, 170.3840000000004, 174.77900000000042, 175.4990000000004, 176.33200000000042, 182.86900000000043, 185.59400000000045, 186.92900000000046, 194.14300000000043, 197.02300000000042, 199.9840000000004, 205.10900000000044, 207.99300000000036, 219.0440000000004, 233.39300000000037, 240.09000000000037, 235.63200000000037, 241.86700000000027, 232.5550000000003, 238.81100000000032, 219.99000000000035, 212.78200000000038, 232.1180000000004, 241.68700000000047, 230.9440000000004, 218.0390000000004, 215.65300000000042, 219.72700000000046, 222.21200000000044, 230.11300000000045, 228.11700000000044, 236.26300000000046, 237.5350000000005, 236.76700000000048, 238.09400000000048, 249.7110000000005, 257.24400000000054, 257.1850000000005, 268.9510000000006, 270.24100000000055, 269.4880000000005, 266.7420000000005, 264.1000000000005, 261.68100000000044, 259.9980000000005, 267.44300000000044, 276.6010000000005, 276.2380000000005, 278.0900000000005, 282.2690000000006, 276.48700000000053, 268.3950000000005, 276.5130000000005, 288.26600000000053, 288.17100000000045, 296.6100000000006, 302.1100000000005, 304.44200000000046, 289.2440000000004, 292.8880000000004, 268.14700000000033, 288.0180000000003, 299.1040000000004, 307.51700000000045, 319.2090000000004, 302.7930000000004, 315.9410000000003, 324.8400000000004, 321.8630000000004, 332.1990000000005, 332.9720000000004, 346.4570000000004, 350.64000000000044, 353.10300000000046, 326.27900000000045, 283.62300000000033, 315.3230000000003, 325.69300000000027, 331.2310000000003, 329.7620000000003, 347.9680000000003 ] }, { "line": { "color": "rgba(55, 128, 191, 1.0)", "dash": "solid", "shape": "linear", "width": 1.3 }, "mode": "lines", "name": "EM €", "text": "", "type": "scatter", "x": [ "1998-12-31", "1999-01-29", "1999-02-26", "1999-03-31", "1999-04-30", "1999-05-31", "1999-06-30", "1999-07-30", "1999-08-31", "1999-09-30", "1999-10-29", "1999-11-30", "1999-12-31", "2000-01-31", "2000-02-29", "2000-03-31", "2000-04-28", "2000-05-31", "2000-06-30", "2000-07-31", "2000-08-31", "2000-09-29", "2000-10-31", "2000-11-30", "2000-12-29", "2001-01-31", "2001-02-28", "2001-03-30", "2001-04-30", "2001-05-31", "2001-06-29", "2001-07-31", "2001-08-31", "2001-09-28", "2001-10-31", "2001-11-30", "2001-12-31", "2002-01-31", "2002-02-28", "2002-03-29", "2002-04-30", "2002-05-31", "2002-06-28", "2002-07-31", "2002-08-30", "2002-09-30", "2002-10-31", "2002-11-29", "2002-12-31", "2003-01-31", "2003-02-28", "2003-03-31", "2003-04-30", "2003-05-30", "2003-06-30", "2003-07-31", "2003-08-29", "2003-09-30", "2003-10-31", "2003-11-28", "2003-12-31", "2004-01-30", "2004-02-27", "2004-03-31", "2004-04-30", "2004-05-31", "2004-06-30", "2004-07-30", "2004-08-31", "2004-09-30", "2004-10-29", "2004-11-30", "2004-12-31", "2005-01-31", "2005-02-28", "2005-03-31", "2005-04-29", "2005-05-31", "2005-06-30", "2005-07-29", "2005-08-31", "2005-09-30", "2005-10-31", "2005-11-30", "2005-12-30", "2006-01-31", "2006-02-28", "2006-03-31", "2006-04-28", "2006-05-31", "2006-06-30", "2006-07-31", "2006-08-31", "2006-09-29", "2006-10-31", "2006-11-30", "2006-12-29", "2007-01-31", "2007-02-28", "2007-03-30", "2007-04-30", "2007-05-31", "2007-06-29", "2007-07-31", "2007-08-31", "2007-09-28", "2007-10-31", "2007-11-30", "2007-12-31", "2008-01-31", "2008-02-29", "2008-03-31", "2008-04-30", "2008-05-30", "2008-06-30", "2008-07-31", "2008-08-29", "2008-09-30", "2008-10-31", "2008-11-28", "2008-12-31", "2009-01-30", "2009-02-27", "2009-03-31", "2009-04-30", "2009-05-29", "2009-06-30", "2009-07-31", "2009-08-31", "2009-09-30", "2009-10-30", "2009-11-30", "2009-12-31", "2010-01-29", "2010-02-26", "2010-03-31", "2010-04-30", "2010-05-31", "2010-06-30", "2010-07-30", "2010-08-31", "2010-09-30", "2010-10-29", "2010-11-30", "2010-12-31", "2011-01-31", "2011-02-28", "2011-03-31", "2011-04-29", "2011-05-31", "2011-06-30", "2011-07-29", "2011-08-31", "2011-09-30", "2011-10-31", "2011-11-30", "2011-12-30", "2012-01-31", "2012-02-29", "2012-03-30", "2012-04-30", "2012-05-31", "2012-06-29", "2012-07-31", "2012-08-31", "2012-09-28", "2012-10-31", "2012-11-30", "2012-12-31", "2013-01-31", "2013-02-28", "2013-03-29", "2013-04-30", "2013-05-31", "2013-06-28", "2013-07-31", "2013-08-30", "2013-09-30", "2013-10-31", "2013-11-29", "2013-12-31", "2014-01-31", "2014-02-28", "2014-03-31", "2014-04-30", "2014-05-30", "2014-06-30", "2014-07-31", "2014-08-29", "2014-09-30", "2014-10-31", "2014-11-28", "2014-12-31", "2015-01-30", "2015-02-27", "2015-03-31", "2015-04-30", "2015-05-29", "2015-06-30", "2015-07-31", "2015-08-31", "2015-09-30", "2015-10-30", "2015-11-30", "2015-12-31", "2016-01-29", "2016-02-29", "2016-03-31", "2016-04-29", "2016-05-31", "2016-06-30", "2016-07-29", "2016-08-31", "2016-09-30", "2016-10-31", "2016-11-30", "2016-12-30", "2017-01-31", "2017-02-28", "2017-03-31", "2017-04-28", "2017-05-31", "2017-06-30", "2017-07-31", "2017-08-31", "2017-09-29", "2017-10-31", "2017-11-30", "2017-12-29", "2018-01-31", "2018-02-28", "2018-03-30", "2018-04-30", "2018-05-31", "2018-06-29", "2018-07-31", "2018-08-31", "2018-09-28", "2018-10-31", "2018-11-30", "2018-12-31", "2019-01-31", "2019-02-28", "2019-03-29", "2019-04-30", "2019-05-31", "2019-06-28", "2019-07-31", "2019-08-30", "2019-09-30", "2019-10-31", "2019-11-29", "2019-12-31", "2020-01-31", "2020-02-28", "2020-03-31", "2020-04-30", "2020-05-29", "2020-06-30", "2020-07-31", "2020-08-31" ], "y": [ 100, 101.731, 106.267, 122.29400000000001, 140.23600000000002, 141.439, 159.26300000000003, 149.29000000000002, 152.646, 146.27500000000003, 151.365, 172.169, 194.947, 200.91900000000004, 206.87100000000004, 209.15200000000004, 198.81000000000006, 187.27200000000005, 187.56900000000007, 184.0570000000001, 192.7740000000001, 177.2580000000001, 171.16600000000008, 152.0910000000001, 144.4230000000001, 165.8820000000001, 154.61500000000007, 145.04300000000006, 151.77200000000005, 160.64200000000008, 157.53900000000007, 142.7940000000001, 136.18700000000007, 114.81100000000006, 123.29000000000008, 136.97500000000008, 148.66900000000012, 158.9750000000001, 160.8200000000001, 169.0480000000001, 164.72600000000008, 156.34900000000007, 136.80700000000004, 127.33100000000006, 129.25300000000004, 114.42700000000005, 121.60000000000007, 129.3880000000001, 118.57500000000007, 115.40800000000007, 111.84500000000006, 107.34000000000006, 114.30300000000004, 116.24100000000006, 125.84100000000007, 136.4310000000001, 149.25400000000008, 141.74400000000009, 154.07700000000008, 151.26000000000008, 154.1680000000001, 162.09200000000013, 169.54200000000012, 173.6210000000001, 163.43600000000006, 157.27800000000005, 158.58000000000004, 157.42000000000002, 162.47800000000007, 168.16700000000003, 168.12800000000004, 175.82200000000006, 180.19200000000006, 188.48700000000005, 201.36100000000005, 192.10400000000007, 188.24400000000006, 203.74100000000007, 214.9700000000001, 229.42300000000012, 228.6270000000001, 254.96300000000005, 239.87600000000006, 263.87900000000013, 279.3690000000001, 301.85100000000006, 307.13900000000007, 305.30800000000005, 314.2420000000001, 275.9510000000001, 276.61500000000007, 281.23300000000006, 287.66000000000014, 293.12300000000005, 304.75200000000007, 315.29500000000013, 331.24600000000004, 332.7450000000001, 325.4330000000001, 335.8760000000001, 343.1960000000001, 365.0660000000001, 380.9470000000001, 395.8800000000001, 389.18900000000014, 414.3020000000002, 452.70600000000013, 414.58900000000017, 417.7280000000001, 361.1390000000001, 378.3440000000001, 343.3280000000001, 377.8390000000001, 385.66500000000013, 342.5050000000001, 333.0910000000001, 324.9200000000001, 280.9950000000001, 226.12400000000008, 208.97800000000012, 205.6950000000001, 208.8010000000001, 198.83400000000012, 217.56000000000012, 254.29500000000013, 278.87900000000013, 277.68900000000014, 305.8200000000001, 301.1330000000001, 322.5270000000001, 319.9460000000001, 327.9490000000001, 356.7670000000001, 347.7860000000001, 355.5420000000001, 387.5690000000002, 399.27000000000015, 394.78700000000015, 392.64300000000014, 400.16900000000015, 402.3690000000003, 416.27000000000027, 420.78000000000026, 437.43200000000024, 454.7930000000003, 433.0350000000003, 425.8920000000002, 438.9540000000003, 432.9860000000003, 435.29800000000034, 425.16200000000026, 427.35000000000036, 388.5600000000004, 356.24900000000036, 388.1110000000004, 375.3590000000004, 384.58400000000046, 424.7140000000005, 440.59000000000054, 427.8510000000005, 425.46000000000055, 404.5940000000005, 409.60000000000053, 430.6090000000005, 419.50300000000044, 435.90800000000047, 430.1990000000005, 434.08400000000046, 449.2130000000005, 442.39000000000044, 453.62200000000047, 453.98100000000045, 445.67600000000044, 441.96000000000043, 412.80800000000045, 408.54400000000044, 404.5060000000005, 419.7810000000005, 438.34400000000045, 431.31800000000044, 420.0570000000005, 401.4390000000005, 405.0300000000004, 418.43300000000045, 417.47700000000043, 439.11100000000044, 449.4610000000005, 469.19600000000054, 487.5360000000005, 470.78200000000044, 480.3230000000004, 477.65400000000045, 469.6540000000004, 506.6750000000004, 525.5920000000006, 541.2150000000005, 558.7600000000004, 548.3340000000004, 525.9480000000004, 493.9580000000005, 443.1760000000004, 431.63900000000046, 467.3150000000005, 469.74200000000053, 446.7820000000005, 419.4640000000005, 417.0890000000005, 450.41500000000065, 450.65900000000056, 446.4490000000005, 465.69400000000047, 486.20200000000045, 500.46100000000047, 502.51000000000045, 516.4360000000005, 509.1370000000004, 513.5420000000004, 528.6640000000003, 554.1690000000003, 564.6050000000004, 566.8010000000004, 565.2240000000004, 563.2590000000004, 577.8080000000002, 585.9910000000003, 587.1020000000002, 616.7200000000004, 603.7900000000003, 621.3750000000003, 648.9190000000003, 632.3320000000003, 615.5890000000004, 623.9640000000004, 623.0960000000003, 597.4940000000004, 609.8400000000004, 596.8710000000004, 594.9240000000004, 556.8050000000004, 580.2010000000006, 559.7920000000006, 606.5670000000006, 612.6580000000007, 626.6410000000006, 641.1790000000007, 598.2470000000006, 622.4130000000007, 629.3550000000007, 605.4570000000007, 623.4700000000007, 635.0030000000007, 641.6770000000008, 677.7400000000007, 654.5120000000006, 625.5380000000006, 529.9270000000005, 579.5880000000005, 575.2080000000004, 611.8480000000004, 633.5910000000005, 640.4680000000005 ] } ], "layout": { "height": 500, "legend": { "bgcolor": "#F5F6F9", "font": { "color": "#4D5663" } }, "paper_bgcolor": "#F5F6F9", "plot_bgcolor": "#F5F6F9", "template": { "data": { "bar": [ { "error_x": { "color": "#2a3f5f" }, "error_y": { "color": "#2a3f5f" }, "marker": { "line": { "color": "#E5ECF6", "width": 0.5 } }, "type": "bar" } ], "barpolar": [ { "marker": { "line": { "color": "#E5ECF6", "width": 0.5 } }, "type": "barpolar" } ], "carpet": [ { "aaxis": { "endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" }, "baxis": { "endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" }, "type": "carpet" } ], "choropleth": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "choropleth" } ], "contour": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "contour" } ], "contourcarpet": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "contourcarpet" } ], "heatmap": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "heatmap" } ], "heatmapgl": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "heatmapgl" } ], "histogram": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "histogram" } ], "histogram2d": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "histogram2d" } ], "histogram2dcontour": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "histogram2dcontour" } ], "mesh3d": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "mesh3d" } ], "parcoords": [ { "line": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "parcoords" } ], "pie": [ { "automargin": true, "type": "pie" } ], "scatter": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatter" } ], "scatter3d": [ { "line": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatter3d" } ], "scattercarpet": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattercarpet" } ], "scattergeo": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattergeo" } ], "scattergl": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattergl" } ], "scattermapbox": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattermapbox" } ], "scatterpolar": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterpolar" } ], "scatterpolargl": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterpolargl" } ], "scatterternary": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterternary" } ], "surface": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "surface" } ], "table": [ { "cells": { "fill": { "color": "#EBF0F8" }, "line": { "color": "white" } }, "header": { "fill": { "color": "#C8D4E3" }, "line": { "color": "white" } }, "type": "table" } ] }, "layout": { "annotationdefaults": { "arrowcolor": "#2a3f5f", "arrowhead": 0, "arrowwidth": 1 }, "coloraxis": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "colorscale": { "diverging": [ [ 0, "#8e0152" ], [ 0.1, "#c51b7d" ], [ 0.2, "#de77ae" ], [ 0.3, "#f1b6da" ], [ 0.4, "#fde0ef" ], [ 0.5, "#f7f7f7" ], [ 0.6, "#e6f5d0" ], [ 0.7, "#b8e186" ], [ 0.8, "#7fbc41" ], [ 0.9, "#4d9221" ], [ 1, "#276419" ] ], "sequential": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "sequentialminus": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ] }, "colorway": [ "#636efa", "#EF553B", "#00cc96", "#ab63fa", "#FFA15A", "#19d3f3", "#FF6692", "#B6E880", "#FF97FF", "#FECB52" ], "font": { "color": "#2a3f5f" }, "geo": { "bgcolor": "white", "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "showland": true, "subunitcolor": "white" }, "hoverlabel": { "align": "left" }, "hovermode": "closest", "mapbox": { "style": "light" }, "paper_bgcolor": "white", "plot_bgcolor": "#E5ECF6", "polar": { "angularaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "radialaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "scene": { "xaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "yaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "zaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" } }, "shapedefaults": { "line": { "color": "#2a3f5f" } }, "ternary": { "aaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "baxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "caxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "title": { "x": 0.05 }, "xaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 }, "yaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 } } }, "title": { "font": { "color": "#4D5663" }, "text": "MSCI World € vs MSCI EM €" }, "width": 970, "xaxis": { "autorange": true, "gridcolor": "#E1E5ED", "range": [ "1998-12-31", "2020-08-31" ], "showgrid": true, "tickfont": { "color": "#4D5663" }, "title": { "font": { "color": "#4D5663" }, "text": "" }, "type": "date", "zerolinecolor": "#E1E5ED" }, "yaxis": { "autorange": true, "gridcolor": "#E1E5ED", "range": [ 40.8209444444445, 711.2620555555562 ], "showgrid": true, "tickfont": { "color": "#4D5663" }, "title": { "font": { "color": "#4D5663" }, "text": "Valorização por cada 100 €uros investidos" }, "type": "linear", "zerolinecolor": "#E1E5ED" } } }, "image/png": "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", "text/html": [ "
\n", " | CAGR | \n", "Return | \n", "StdDev | \n", "Sharpe | \n", "Max DD | \n", "MAR | \n", "
---|---|---|---|---|---|---|
World € | \n", "5.92% | \n", "247.97% | \n", "14.38% | \n", "0.41 | \n", "-54.15% | \n", "0.11 | \n", "
EM € | \n", "8.94% | \n", "540.47% | \n", "19.92% | \n", "0.45 | \n", "-56.08% | \n", "0.16 | \n", "