├── 01_Python_para_Investimentos_com_Google_Colab_Obtendo_cotações_do_Yahoo_Finance.ipynb
├── 02_Calculando_e_Plotando_Médias_Móveis_Python_para_Investimentos_com_Google_Colab.ipynb
├── 03_CORRELAÇÃO_entre_DÓLAR_e_IBOVESPA_Python_para_Investimentos.ipynb
├── 04_Simulando_CARTEIRA_DE_AÇÕES_e_comparando_com_o_IBOVESPA_Python_para_Investimentos_com_Google_Colab.ipynb
├── 05_Backtesting_com_Pyfolio_Python_para_Investimentos.ipynb
├── 06_Simulando_Carteiras_de_Ações_Aleatórias_Python_para_Investimentos_com_Google_Colab.ipynb
├── 07_ANÁLISE_ESTATÍSTICA_DA_QUEDA_DE_12_DO_IBOV_Python_para_Investimentos_com_Google_Colab.ipynb
├── 08_Análise_de_Empresas_com_Python_no_Google_Colab_Python_para_Investimentos.ipynb
├── 09_Alpha_Vantage_Python_para_Investimentos.ipynb
├── 10_API_Banco_Central_do_Brasil_Python_para_Investimentos.ipynb
├── 11_13_Acessando_Dados_do_Investing_com_Python_para_Investimentos.ipynb
├── 14_Integrando_Google_Colab_e_Google_Planilhas_(spreadsheet).ipynb
├── 15_Integrando_Google_Colab_e_Google_Planilhas_(spreadsheet).ipynb
├── 16_CVM_Os_Melhores_e_os_Piores_Fundos_de_Investimento_do_mes_Python_para_Investimentos.ipynb
├── 17_CVM_Os_Melhores_e_os_Piores_Fundos_de_Investimento_de_2020.ipynb
├── 18_WebScraping_B3_Raspando_dados_da_Bolsa_de_Valores.ipynb
├── 19_SALVANDO_em_uma_Planilha_EXCEL_os_Dados_do_GOOGLE_COLAB_(DataFrame_Pandas).ipynb
├── 20_Tesouro_Direto_com_Python.ipynb
├── 21_Os_piores_e_os_melhores_dias_S&P500_e_IBOV.ipynb
├── 22_5_Dicas_Incriveis_do_Google_Colab.ipynb
├── 23_FED_Banco_Central_Americano_Dados_Economicos_dos_Estados_Unidos.ipynb
├── 24_BackTesting_de_Carteira_com_Python_(BT).ipynb
├── 25_BackTesting_de_Carteira_com_Python_Parte_2_(BT).ipynb
├── 26_Analisando_Fundos_de_Investimento_com_Python_Os_Melhores_e_os_Piores_de_2020S1.ipynb
├── 27_Rentabilidade_da_Carteira_por_cotas_Considerando_aportes.ipynb
├── LICENSE
├── README.md
└── historico_leiloes_tesouro.csv


/08_Análise_de_Empresas_com_Python_no_Google_Colab_Python_para_Investimentos.ipynb:
--------------------------------------------------------------------------------
   1 | {
   2 |   "nbformat": 4,
   3 |   "nbformat_minor": 0,
   4 |   "metadata": {
   5 |     "colab": {
   6 |       "name": "08 - Análise de Empresas com Python no Google Colab - Python para Investimentos.ipynb",
   7 |       "provenance": [],
   8 |       "collapsed_sections": [],
   9 |       "include_colab_link": true
  10 |     },
  11 |     "kernelspec": {
  12 |       "name": "python3",
  13 |       "display_name": "Python 3"
  14 |     }
  15 |   },
  16 |   "cells": [
  17 |     {
  18 |       "cell_type": "markdown",
  19 |       "metadata": {
  20 |         "id": "view-in-github",
  21 |         "colab_type": "text"
  22 |       },
  23 |       "source": [
  24 |         "<a href=\"https://colab.research.google.com/github/codigoquant/python_para_investimentos/blob/master/08_An%C3%A1lise_de_Empresas_com_Python_no_Google_Colab_Python_para_Investimentos.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
  25 |       ]
  26 |     },
  27 |     {
  28 |       "cell_type": "markdown",
  29 |       "metadata": {
  30 |         "id": "Ix6_7zq6PGan"
  31 |       },
  32 |       "source": [
  33 |         "#Ricos pelo Acaso"
  34 |       ]
  35 |     },
  36 |     {
  37 |       "cell_type": "markdown",
  38 |       "metadata": {
  39 |         "id": "rM-myTSyPKaK"
  40 |       },
  41 |       "source": [
  42 |         "Link para o vídeo: https://youtu.be/e_ZRDG4F4ZA"
  43 |       ]
  44 |     },
  45 |     {
  46 |       "cell_type": "markdown",
  47 |       "metadata": {
  48 |         "id": "2jz98EaGXWes"
  49 |       },
  50 |       "source": [
  51 |         "# Importando Bibliotecas"
  52 |       ]
  53 |     },
  54 |     {
  55 |       "cell_type": "code",
  56 |       "metadata": {
  57 |         "id": "OiURQn3EQ0go"
  58 |       },
  59 |       "source": [
  60 |         "import numpy as np\n",
  61 |         "import pandas as pd\n",
  62 |         "import string\n",
  63 |         "import warnings\n",
  64 |         "warnings.filterwarnings('ignore')\n",
  65 |         "\n",
  66 |         "import requests"
  67 |       ],
  68 |       "execution_count": 1,
  69 |       "outputs": []
  70 |     },
  71 |     {
  72 |       "cell_type": "markdown",
  73 |       "metadata": {
  74 |         "id": "LFnn2N6yXh9b"
  75 |       },
  76 |       "source": [
  77 |         "# Obtendo e tratando os dados"
  78 |       ]
  79 |     },
  80 |     {
  81 |       "cell_type": "code",
  82 |       "metadata": {
  83 |         "id": "WM76SRll9vyA"
  84 |       },
  85 |       "source": [
  86 |         "url = 'http://www.fundamentus.com.br/resultado.php'"
  87 |       ],
  88 |       "execution_count": 2,
  89 |       "outputs": []
  90 |     },
  91 |     {
  92 |       "cell_type": "code",
  93 |       "metadata": {
  94 |         "id": "K43D5nBw9hQA"
  95 |       },
  96 |       "source": [
  97 |         "header = {\n",
  98 |         "  \"User-Agent\": \"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/84.0.4147.89 Safari/537.36\"  \n",
  99 |         " }\n",
 100 |         "\n",
 101 |         "r = requests.get(url, headers=header)"
 102 |       ],
 103 |       "execution_count": 3,
 104 |       "outputs": []
 105 |     },
 106 |     {
 107 |       "cell_type": "code",
 108 |       "metadata": {
 109 |         "id": "skFbCPQ9XnR1"
 110 |       },
 111 |       "source": [
 112 |         "df = pd.read_html(r.text,  decimal=',', thousands='.')[0]"
 113 |       ],
 114 |       "execution_count": 4,
 115 |       "outputs": []
 116 |     },
 117 |     {
 118 |       "cell_type": "code",
 119 |       "metadata": {
 120 |         "id": "YjZSHe6mc5Ue",
 121 |         "colab": {
 122 |           "base_uri": "https://localhost:8080/",
 123 |           "height": 425
 124 |         },
 125 |         "outputId": "4defd7b0-5af5-41fd-cf7e-82b8054f4996"
 126 |       },
 127 |       "source": [
 128 |         "df"
 129 |       ],
 130 |       "execution_count": 5,
 131 |       "outputs": [
 132 |         {
 133 |           "output_type": "execute_result",
 134 |           "data": {
 135 |             "text/html": [
 136 |               "<div>\n",
 137 |               "<style scoped>\n",
 138 |               "    .dataframe tbody tr th:only-of-type {\n",
 139 |               "        vertical-align: middle;\n",
 140 |               "    }\n",
 141 |               "\n",
 142 |               "    .dataframe tbody tr th {\n",
 143 |               "        vertical-align: top;\n",
 144 |               "    }\n",
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 146 |               "    .dataframe thead th {\n",
 147 |               "        text-align: right;\n",
 148 |               "    }\n",
 149 |               "</style>\n",
 150 |               "<table border=\"1\" class=\"dataframe\">\n",
 151 |               "  <thead>\n",
 152 |               "    <tr style=\"text-align: right;\">\n",
 153 |               "      <th></th>\n",
 154 |               "      <th>Papel</th>\n",
 155 |               "      <th>Cotação</th>\n",
 156 |               "      <th>P/L</th>\n",
 157 |               "      <th>P/VP</th>\n",
 158 |               "      <th>PSR</th>\n",
 159 |               "      <th>Div.Yield</th>\n",
 160 |               "      <th>P/Ativo</th>\n",
 161 |               "      <th>P/Cap.Giro</th>\n",
 162 |               "      <th>P/EBIT</th>\n",
 163 |               "      <th>P/Ativ Circ.Liq</th>\n",
 164 |               "      <th>EV/EBIT</th>\n",
 165 |               "      <th>EV/EBITDA</th>\n",
 166 |               "      <th>Mrg Ebit</th>\n",
 167 |               "      <th>Mrg. Líq.</th>\n",
 168 |               "      <th>Liq. Corr.</th>\n",
 169 |               "      <th>ROIC</th>\n",
 170 |               "      <th>ROE</th>\n",
 171 |               "      <th>Liq.2meses</th>\n",
 172 |               "      <th>Patrim. Líq</th>\n",
 173 |               "      <th>Dív.Brut/ Patrim.</th>\n",
 174 |               "      <th>Cresc. Rec.5a</th>\n",
 175 |               "    </tr>\n",
 176 |               "  </thead>\n",
 177 |               "  <tbody>\n",
 178 |               "    <tr>\n",
 179 |               "      <th>0</th>\n",
 180 |               "      <td>CSTB3</td>\n",
 181 |               "      <td>150.00</td>\n",
 182 |               "      <td>0.00</td>\n",
 183 |               "      <td>0.00</td>\n",
 184 |               "      <td>0.00</td>\n",
 185 |               "      <td>0,00%</td>\n",
 186 |               "      <td>0.000</td>\n",
 187 |               "      <td>0.00</td>\n",
 188 |               "      <td>0.00</td>\n",
 189 |               "      <td>0.00</td>\n",
 190 |               "      <td>0.00</td>\n",
 191 |               "      <td>0.00</td>\n",
 192 |               "      <td>40,85%</td>\n",
 193 |               "      <td>28,98%</td>\n",
 194 |               "      <td>2.60</td>\n",
 195 |               "      <td>22,40%</td>\n",
 196 |               "      <td>20,11%</td>\n",
 197 |               "      <td>0.0</td>\n",
 198 |               "      <td>8.420670e+09</td>\n",
 199 |               "      <td>0.14</td>\n",
 200 |               "      <td>31,91%</td>\n",
 201 |               "    </tr>\n",
 202 |               "    <tr>\n",
 203 |               "      <th>1</th>\n",
 204 |               "      <td>IVTT3</td>\n",
 205 |               "      <td>0.00</td>\n",
 206 |               "      <td>0.00</td>\n",
 207 |               "      <td>0.00</td>\n",
 208 |               "      <td>0.00</td>\n",
 209 |               "      <td>0,00%</td>\n",
 210 |               "      <td>0.000</td>\n",
 211 |               "      <td>0.00</td>\n",
 212 |               "      <td>0.00</td>\n",
 213 |               "      <td>0.00</td>\n",
 214 |               "      <td>0.00</td>\n",
 215 |               "      <td>0.00</td>\n",
 216 |               "      <td>0,00%</td>\n",
 217 |               "      <td>0,00%</td>\n",
 218 |               "      <td>0.00</td>\n",
 219 |               "      <td>0,00%</td>\n",
 220 |               "      <td>-0,40%</td>\n",
 221 |               "      <td>0.0</td>\n",
 222 |               "      <td>1.083050e+09</td>\n",
 223 |               "      <td>0.00</td>\n",
 224 |               "      <td>20,67%</td>\n",
 225 |               "    </tr>\n",
 226 |               "    <tr>\n",
 227 |               "      <th>2</th>\n",
 228 |               "      <td>PORP4</td>\n",
 229 |               "      <td>2.40</td>\n",
 230 |               "      <td>0.00</td>\n",
 231 |               "      <td>0.00</td>\n",
 232 |               "      <td>0.00</td>\n",
 233 |               "      <td>0,00%</td>\n",
 234 |               "      <td>0.000</td>\n",
 235 |               "      <td>0.00</td>\n",
 236 |               "      <td>0.00</td>\n",
 237 |               "      <td>0.00</td>\n",
 238 |               "      <td>0.00</td>\n",
 239 |               "      <td>0.00</td>\n",
 240 |               "      <td>0,00%</td>\n",
 241 |               "      <td>0,00%</td>\n",
 242 |               "      <td>0.00</td>\n",
 243 |               "      <td>0,00%</td>\n",
 244 |               "      <td>-2,08%</td>\n",
 245 |               "      <td>0.0</td>\n",
 246 |               "      <td>2.239900e+07</td>\n",
 247 |               "      <td>0.00</td>\n",
 248 |               "      <td>13,66%</td>\n",
 249 |               "    </tr>\n",
 250 |               "    <tr>\n",
 251 |               "      <th>3</th>\n",
 252 |               "      <td>MNSA3</td>\n",
 253 |               "      <td>0.42</td>\n",
 254 |               "      <td>0.00</td>\n",
 255 |               "      <td>0.00</td>\n",
 256 |               "      <td>0.00</td>\n",
 257 |               "      <td>0,00%</td>\n",
 258 |               "      <td>0.000</td>\n",
 259 |               "      <td>0.00</td>\n",
 260 |               "      <td>0.00</td>\n",
 261 |               "      <td>0.00</td>\n",
 262 |               "      <td>0.00</td>\n",
 263 |               "      <td>0.00</td>\n",
 264 |               "      <td>-208,15%</td>\n",
 265 |               "      <td>-362,66%</td>\n",
 266 |               "      <td>3.63</td>\n",
 267 |               "      <td>-13,50%</td>\n",
 268 |               "      <td>145,70%</td>\n",
 269 |               "      <td>0.0</td>\n",
 270 |               "      <td>-9.105000e+06</td>\n",
 271 |               "      <td>-6.52</td>\n",
 272 |               "      <td>-41,11%</td>\n",
 273 |               "    </tr>\n",
 274 |               "    <tr>\n",
 275 |               "      <th>4</th>\n",
 276 |               "      <td>CSTB4</td>\n",
 277 |               "      <td>147.69</td>\n",
 278 |               "      <td>0.00</td>\n",
 279 |               "      <td>0.00</td>\n",
 280 |               "      <td>0.00</td>\n",
 281 |               "      <td>0,00%</td>\n",
 282 |               "      <td>0.000</td>\n",
 283 |               "      <td>0.00</td>\n",
 284 |               "      <td>0.00</td>\n",
 285 |               "      <td>0.00</td>\n",
 286 |               "      <td>0.00</td>\n",
 287 |               "      <td>0.00</td>\n",
 288 |               "      <td>40,85%</td>\n",
 289 |               "      <td>28,98%</td>\n",
 290 |               "      <td>2.60</td>\n",
 291 |               "      <td>22,40%</td>\n",
 292 |               "      <td>20,11%</td>\n",
 293 |               "      <td>0.0</td>\n",
 294 |               "      <td>8.420670e+09</td>\n",
 295 |               "      <td>0.14</td>\n",
 296 |               "      <td>31,91%</td>\n",
 297 |               "    </tr>\n",
 298 |               "    <tr>\n",
 299 |               "      <th>...</th>\n",
 300 |               "      <td>...</td>\n",
 301 |               "      <td>...</td>\n",
 302 |               "      <td>...</td>\n",
 303 |               "      <td>...</td>\n",
 304 |               "      <td>...</td>\n",
 305 |               "      <td>...</td>\n",
 306 |               "      <td>...</td>\n",
 307 |               "      <td>...</td>\n",
 308 |               "      <td>...</td>\n",
 309 |               "      <td>...</td>\n",
 310 |               "      <td>...</td>\n",
 311 |               "      <td>...</td>\n",
 312 |               "      <td>...</td>\n",
 313 |               "      <td>...</td>\n",
 314 |               "      <td>...</td>\n",
 315 |               "      <td>...</td>\n",
 316 |               "      <td>...</td>\n",
 317 |               "      <td>...</td>\n",
 318 |               "      <td>...</td>\n",
 319 |               "      <td>...</td>\n",
 320 |               "      <td>...</td>\n",
 321 |               "    </tr>\n",
 322 |               "    <tr>\n",
 323 |               "      <th>949</th>\n",
 324 |               "      <td>UBBR3</td>\n",
 325 |               "      <td>18.00</td>\n",
 326 |               "      <td>1466.61</td>\n",
 327 |               "      <td>4.77</td>\n",
 328 |               "      <td>0.00</td>\n",
 329 |               "      <td>0,00%</td>\n",
 330 |               "      <td>0.000</td>\n",
 331 |               "      <td>0.00</td>\n",
 332 |               "      <td>0.00</td>\n",
 333 |               "      <td>0.00</td>\n",
 334 |               "      <td>0.00</td>\n",
 335 |               "      <td>0.00</td>\n",
 336 |               "      <td>0,00%</td>\n",
 337 |               "      <td>0,00%</td>\n",
 338 |               "      <td>0.00</td>\n",
 339 |               "      <td>0,00%</td>\n",
 340 |               "      <td>0,33%</td>\n",
 341 |               "      <td>0.0</td>\n",
 342 |               "      <td>1.031720e+10</td>\n",
 343 |               "      <td>0.00</td>\n",
 344 |               "      <td>10,58%</td>\n",
 345 |               "    </tr>\n",
 346 |               "    <tr>\n",
 347 |               "      <th>950</th>\n",
 348 |               "      <td>BIDI4</td>\n",
 349 |               "      <td>59.24</td>\n",
 350 |               "      <td>2580.97</td>\n",
 351 |               "      <td>13.98</td>\n",
 352 |               "      <td>0.00</td>\n",
 353 |               "      <td>0,08%</td>\n",
 354 |               "      <td>0.000</td>\n",
 355 |               "      <td>0.00</td>\n",
 356 |               "      <td>0.00</td>\n",
 357 |               "      <td>0.00</td>\n",
 358 |               "      <td>0.00</td>\n",
 359 |               "      <td>0.00</td>\n",
 360 |               "      <td>0,00%</td>\n",
 361 |               "      <td>0,00%</td>\n",
 362 |               "      <td>0.00</td>\n",
 363 |               "      <td>0,00%</td>\n",
 364 |               "      <td>0,54%</td>\n",
 365 |               "      <td>171320000.0</td>\n",
 366 |               "      <td>3.240140e+09</td>\n",
 367 |               "      <td>0.00</td>\n",
 368 |               "      <td>30,91%</td>\n",
 369 |               "    </tr>\n",
 370 |               "    <tr>\n",
 371 |               "      <th>951</th>\n",
 372 |               "      <td>BIDI11</td>\n",
 373 |               "      <td>180.04</td>\n",
 374 |               "      <td>2614.66</td>\n",
 375 |               "      <td>14.16</td>\n",
 376 |               "      <td>0.00</td>\n",
 377 |               "      <td>0,07%</td>\n",
 378 |               "      <td>0.000</td>\n",
 379 |               "      <td>0.00</td>\n",
 380 |               "      <td>0.00</td>\n",
 381 |               "      <td>0.00</td>\n",
 382 |               "      <td>0.00</td>\n",
 383 |               "      <td>0.00</td>\n",
 384 |               "      <td>0,00%</td>\n",
 385 |               "      <td>0,00%</td>\n",
 386 |               "      <td>0.00</td>\n",
 387 |               "      <td>0,00%</td>\n",
 388 |               "      <td>0,54%</td>\n",
 389 |               "      <td>307846000.0</td>\n",
 390 |               "      <td>3.240140e+09</td>\n",
 391 |               "      <td>0.00</td>\n",
 392 |               "      <td>30,91%</td>\n",
 393 |               "    </tr>\n",
 394 |               "    <tr>\n",
 395 |               "      <th>952</th>\n",
 396 |               "      <td>BIDI3</td>\n",
 397 |               "      <td>60.95</td>\n",
 398 |               "      <td>2655.47</td>\n",
 399 |               "      <td>14.38</td>\n",
 400 |               "      <td>0.00</td>\n",
 401 |               "      <td>0,07%</td>\n",
 402 |               "      <td>0.000</td>\n",
 403 |               "      <td>0.00</td>\n",
 404 |               "      <td>0.00</td>\n",
 405 |               "      <td>0.00</td>\n",
 406 |               "      <td>0.00</td>\n",
 407 |               "      <td>0.00</td>\n",
 408 |               "      <td>0,00%</td>\n",
 409 |               "      <td>0,00%</td>\n",
 410 |               "      <td>0.00</td>\n",
 411 |               "      <td>0,00%</td>\n",
 412 |               "      <td>0,54%</td>\n",
 413 |               "      <td>19837200.0</td>\n",
 414 |               "      <td>3.240140e+09</td>\n",
 415 |               "      <td>0.00</td>\n",
 416 |               "      <td>30,91%</td>\n",
 417 |               "    </tr>\n",
 418 |               "    <tr>\n",
 419 |               "      <th>953</th>\n",
 420 |               "      <td>NTCO3</td>\n",
 421 |               "      <td>49.96</td>\n",
 422 |               "      <td>4456.81</td>\n",
 423 |               "      <td>2.40</td>\n",
 424 |               "      <td>1.77</td>\n",
 425 |               "      <td>0,00%</td>\n",
 426 |               "      <td>1.113</td>\n",
 427 |               "      <td>25.17</td>\n",
 428 |               "      <td>27.99</td>\n",
 429 |               "      <td>-4.48</td>\n",
 430 |               "      <td>31.02</td>\n",
 431 |               "      <td>14.53</td>\n",
 432 |               "      <td>6,32%</td>\n",
 433 |               "      <td>0,01%</td>\n",
 434 |               "      <td>1.18</td>\n",
 435 |               "      <td>5,05%</td>\n",
 436 |               "      <td>0,05%</td>\n",
 437 |               "      <td>306014000.0</td>\n",
 438 |               "      <td>2.869130e+10</td>\n",
 439 |               "      <td>0.49</td>\n",
 440 |               "      <td>0,00%</td>\n",
 441 |               "    </tr>\n",
 442 |               "  </tbody>\n",
 443 |               "</table>\n",
 444 |               "<p>954 rows × 21 columns</p>\n",
 445 |               "</div>"
 446 |             ],
 447 |             "text/plain": [
 448 |               "      Papel  Cotação      P/L  ...   Patrim. Líq  Dív.Brut/ Patrim. Cresc. Rec.5a\n",
 449 |               "0     CSTB3   150.00     0.00  ...  8.420670e+09               0.14        31,91%\n",
 450 |               "1     IVTT3     0.00     0.00  ...  1.083050e+09               0.00        20,67%\n",
 451 |               "2     PORP4     2.40     0.00  ...  2.239900e+07               0.00        13,66%\n",
 452 |               "3     MNSA3     0.42     0.00  ... -9.105000e+06              -6.52       -41,11%\n",
 453 |               "4     CSTB4   147.69     0.00  ...  8.420670e+09               0.14        31,91%\n",
 454 |               "..      ...      ...      ...  ...           ...                ...           ...\n",
 455 |               "949   UBBR3    18.00  1466.61  ...  1.031720e+10               0.00        10,58%\n",
 456 |               "950   BIDI4    59.24  2580.97  ...  3.240140e+09               0.00        30,91%\n",
 457 |               "951  BIDI11   180.04  2614.66  ...  3.240140e+09               0.00        30,91%\n",
 458 |               "952   BIDI3    60.95  2655.47  ...  3.240140e+09               0.00        30,91%\n",
 459 |               "953   NTCO3    49.96  4456.81  ...  2.869130e+10               0.49         0,00%\n",
 460 |               "\n",
 461 |               "[954 rows x 21 columns]"
 462 |             ]
 463 |           },
 464 |           "metadata": {
 465 |             "tags": []
 466 |           },
 467 |           "execution_count": 5
 468 |         }
 469 |       ]
 470 |     },
 471 |     {
 472 |       "cell_type": "code",
 473 |       "metadata": {
 474 |         "id": "fiZbA283diRP"
 475 |       },
 476 |       "source": [
 477 |         "for coluna in ['Div.Yield', 'Mrg Ebit', 'Mrg. Líq.', 'ROIC', 'ROE', 'Cresc. Rec.5a']:\n",
 478 |         "  df[coluna] = df[coluna].str.replace('.', '')\n",
 479 |         "  df[coluna] = df[coluna].str.replace(',', '.')\n",
 480 |         "  df[coluna] = df[coluna].str.rstrip('%').astype('float') / 100"
 481 |       ],
 482 |       "execution_count": 6,
 483 |       "outputs": []
 484 |     },
 485 |     {
 486 |       "cell_type": "markdown",
 487 |       "metadata": {
 488 |         "id": "L-8C2O4zXoBP"
 489 |       },
 490 |       "source": [
 491 |         "# Analisando os dados"
 492 |       ]
 493 |     },
 494 |     {
 495 |       "cell_type": "code",
 496 |       "metadata": {
 497 |         "id": "-xXaDjo4XtNs"
 498 |       },
 499 |       "source": [
 500 |         "df = df[df['Liq.2meses'] > 1000000]"
 501 |       ],
 502 |       "execution_count": 7,
 503 |       "outputs": []
 504 |     },
 505 |     {
 506 |       "cell_type": "code",
 507 |       "metadata": {
 508 |         "id": "GFrBbUwde62S"
 509 |       },
 510 |       "source": [
 511 |         "ranking = pd.DataFrame()\n",
 512 |         "ranking['pos'] = range(1,151)\n",
 513 |         "ranking['EV/EBIT'] = df[ df['EV/EBIT'] > 0 ].sort_values(by=['EV/EBIT'])['Papel'][:150].values\n",
 514 |         "ranking['ROIC'] = df.sort_values(by=['ROIC'], ascending=False)['Papel'][:150].values"
 515 |       ],
 516 |       "execution_count": 8,
 517 |       "outputs": []
 518 |     },
 519 |     {
 520 |       "cell_type": "code",
 521 |       "metadata": {
 522 |         "id": "hLRMM7YDgjXE",
 523 |         "colab": {
 524 |           "base_uri": "https://localhost:8080/",
 525 |           "height": 407
 526 |         },
 527 |         "outputId": "e8cdc1c5-9812-4842-b0ed-0c5ac55802c3"
 528 |       },
 529 |       "source": [
 530 |         "ranking"
 531 |       ],
 532 |       "execution_count": 9,
 533 |       "outputs": [
 534 |         {
 535 |           "output_type": "execute_result",
 536 |           "data": {
 537 |             "text/html": [
 538 |               "<div>\n",
 539 |               "<style scoped>\n",
 540 |               "    .dataframe tbody tr th:only-of-type {\n",
 541 |               "        vertical-align: middle;\n",
 542 |               "    }\n",
 543 |               "\n",
 544 |               "    .dataframe tbody tr th {\n",
 545 |               "        vertical-align: top;\n",
 546 |               "    }\n",
 547 |               "\n",
 548 |               "    .dataframe thead th {\n",
 549 |               "        text-align: right;\n",
 550 |               "    }\n",
 551 |               "</style>\n",
 552 |               "<table border=\"1\" class=\"dataframe\">\n",
 553 |               "  <thead>\n",
 554 |               "    <tr style=\"text-align: right;\">\n",
 555 |               "      <th></th>\n",
 556 |               "      <th>pos</th>\n",
 557 |               "      <th>EV/EBIT</th>\n",
 558 |               "      <th>ROIC</th>\n",
 559 |               "    </tr>\n",
 560 |               "  </thead>\n",
 561 |               "  <tbody>\n",
 562 |               "    <tr>\n",
 563 |               "      <th>0</th>\n",
 564 |               "      <td>1</td>\n",
 565 |               "      <td>GPIV33</td>\n",
 566 |               "      <td>BOAS3</td>\n",
 567 |               "    </tr>\n",
 568 |               "    <tr>\n",
 569 |               "      <th>1</th>\n",
 570 |               "      <td>2</td>\n",
 571 |               "      <td>PSSA3</td>\n",
 572 |               "      <td>ATOM3</td>\n",
 573 |               "    </tr>\n",
 574 |               "    <tr>\n",
 575 |               "      <th>2</th>\n",
 576 |               "      <td>3</td>\n",
 577 |               "      <td>MNPR3</td>\n",
 578 |               "      <td>WIZS3</td>\n",
 579 |               "    </tr>\n",
 580 |               "    <tr>\n",
 581 |               "      <th>3</th>\n",
 582 |               "      <td>4</td>\n",
 583 |               "      <td>GOAU3</td>\n",
 584 |               "      <td>CMIN3</td>\n",
 585 |               "    </tr>\n",
 586 |               "    <tr>\n",
 587 |               "      <th>4</th>\n",
 588 |               "      <td>5</td>\n",
 589 |               "      <td>PCAR3</td>\n",
 590 |               "      <td>PSSA3</td>\n",
 591 |               "    </tr>\n",
 592 |               "    <tr>\n",
 593 |               "      <th>...</th>\n",
 594 |               "      <td>...</td>\n",
 595 |               "      <td>...</td>\n",
 596 |               "      <td>...</td>\n",
 597 |               "    </tr>\n",
 598 |               "    <tr>\n",
 599 |               "      <th>145</th>\n",
 600 |               "      <td>146</td>\n",
 601 |               "      <td>RAIL3</td>\n",
 602 |               "      <td>ESPA3</td>\n",
 603 |               "    </tr>\n",
 604 |               "    <tr>\n",
 605 |               "      <th>146</th>\n",
 606 |               "      <td>147</td>\n",
 607 |               "      <td>BRML3</td>\n",
 608 |               "      <td>LINX3</td>\n",
 609 |               "    </tr>\n",
 610 |               "    <tr>\n",
 611 |               "      <th>147</th>\n",
 612 |               "      <td>148</td>\n",
 613 |               "      <td>ELET3</td>\n",
 614 |               "      <td>ANIM3</td>\n",
 615 |               "    </tr>\n",
 616 |               "    <tr>\n",
 617 |               "      <th>148</th>\n",
 618 |               "      <td>149</td>\n",
 619 |               "      <td>ELET6</td>\n",
 620 |               "      <td>POWE3</td>\n",
 621 |               "    </tr>\n",
 622 |               "    <tr>\n",
 623 |               "      <th>149</th>\n",
 624 |               "      <td>150</td>\n",
 625 |               "      <td>ENEV3</td>\n",
 626 |               "      <td>CYRE3</td>\n",
 627 |               "    </tr>\n",
 628 |               "  </tbody>\n",
 629 |               "</table>\n",
 630 |               "<p>150 rows × 3 columns</p>\n",
 631 |               "</div>"
 632 |             ],
 633 |             "text/plain": [
 634 |               "     pos EV/EBIT   ROIC\n",
 635 |               "0      1  GPIV33  BOAS3\n",
 636 |               "1      2   PSSA3  ATOM3\n",
 637 |               "2      3   MNPR3  WIZS3\n",
 638 |               "3      4   GOAU3  CMIN3\n",
 639 |               "4      5   PCAR3  PSSA3\n",
 640 |               "..   ...     ...    ...\n",
 641 |               "145  146   RAIL3  ESPA3\n",
 642 |               "146  147   BRML3  LINX3\n",
 643 |               "147  148   ELET3  ANIM3\n",
 644 |               "148  149   ELET6  POWE3\n",
 645 |               "149  150   ENEV3  CYRE3\n",
 646 |               "\n",
 647 |               "[150 rows x 3 columns]"
 648 |             ]
 649 |           },
 650 |           "metadata": {
 651 |             "tags": []
 652 |           },
 653 |           "execution_count": 9
 654 |         }
 655 |       ]
 656 |     },
 657 |     {
 658 |       "cell_type": "code",
 659 |       "metadata": {
 660 |         "id": "C1zue-skgsUR"
 661 |       },
 662 |       "source": [
 663 |         "a = ranking.pivot_table(columns='EV/EBIT', values='pos')"
 664 |       ],
 665 |       "execution_count": 10,
 666 |       "outputs": []
 667 |     },
 668 |     {
 669 |       "cell_type": "code",
 670 |       "metadata": {
 671 |         "id": "2TLSMa6phAX6"
 672 |       },
 673 |       "source": [
 674 |         "b = ranking.pivot_table(columns='ROIC', values='pos')"
 675 |       ],
 676 |       "execution_count": 11,
 677 |       "outputs": []
 678 |     },
 679 |     {
 680 |       "cell_type": "code",
 681 |       "metadata": {
 682 |         "id": "YZgDcRKohDvB",
 683 |         "colab": {
 684 |           "base_uri": "https://localhost:8080/",
 685 |           "height": 157
 686 |         },
 687 |         "outputId": "e0aef241-4a6f-4859-8d05-59ccd9333025"
 688 |       },
 689 |       "source": [
 690 |         "t = pd.concat([a,b])\n",
 691 |         "t"
 692 |       ],
 693 |       "execution_count": 12,
 694 |       "outputs": [
 695 |         {
 696 |           "output_type": "execute_result",
 697 |           "data": {
 698 |             "text/html": [
 699 |               "<div>\n",
 700 |               "<style scoped>\n",
 701 |               "    .dataframe tbody tr th:only-of-type {\n",
 702 |               "        vertical-align: middle;\n",
 703 |               "    }\n",
 704 |               "\n",
 705 |               "    .dataframe tbody tr th {\n",
 706 |               "        vertical-align: top;\n",
 707 |               "    }\n",
 708 |               "\n",
 709 |               "    .dataframe thead th {\n",
 710 |               "        text-align: right;\n",
 711 |               "    }\n",
 712 |               "</style>\n",
 713 |               "<table border=\"1\" class=\"dataframe\">\n",
 714 |               "  <thead>\n",
 715 |               "    <tr style=\"text-align: right;\">\n",
 716 |               "      <th></th>\n",
 717 |               "      <th>ABEV3</th>\n",
 718 |               "      <th>AGRO3</th>\n",
 719 |               "      <th>ALLD3</th>\n",
 720 |               "      <th>ALUP11</th>\n",
 721 |               "      <th>AMBP3</th>\n",
 722 |               "      <th>ANIM3</th>\n",
 723 |               "      <th>ASAI3</th>\n",
 724 |               "      <th>ATOM3</th>\n",
 725 |               "      <th>AURA33</th>\n",
 726 |               "      <th>B3SA3</th>\n",
 727 |               "      <th>BEEF3</th>\n",
 728 |               "      <th>BLAU3</th>\n",
 729 |               "      <th>BMOB3</th>\n",
 730 |               "      <th>BRDT3</th>\n",
 731 |               "      <th>BRFS3</th>\n",
 732 |               "      <th>BRKM3</th>\n",
 733 |               "      <th>BRKM5</th>\n",
 734 |               "      <th>BRML3</th>\n",
 735 |               "      <th>BSEV3</th>\n",
 736 |               "      <th>CAML3</th>\n",
 737 |               "      <th>CARD3</th>\n",
 738 |               "      <th>CCPR3</th>\n",
 739 |               "      <th>CCRO3</th>\n",
 740 |               "      <th>CESP6</th>\n",
 741 |               "      <th>CIEL3</th>\n",
 742 |               "      <th>CMIG3</th>\n",
 743 |               "      <th>CMIG4</th>\n",
 744 |               "      <th>CMIN3</th>\n",
 745 |               "      <th>CPFE3</th>\n",
 746 |               "      <th>CPLE3</th>\n",
 747 |               "      <th>CPLE6</th>\n",
 748 |               "      <th>CRFB3</th>\n",
 749 |               "      <th>CSED3</th>\n",
 750 |               "      <th>CSMG3</th>\n",
 751 |               "      <th>CSNA3</th>\n",
 752 |               "      <th>CURY3</th>\n",
 753 |               "      <th>CYRE3</th>\n",
 754 |               "      <th>DIRR3</th>\n",
 755 |               "      <th>DMVF3</th>\n",
 756 |               "      <th>DTEX3</th>\n",
 757 |               "      <th>...</th>\n",
 758 |               "      <th>TEND3</th>\n",
 759 |               "      <th>TESA3</th>\n",
 760 |               "      <th>TGMA3</th>\n",
 761 |               "      <th>TIET11</th>\n",
 762 |               "      <th>TIMS3</th>\n",
 763 |               "      <th>TOTS3</th>\n",
 764 |               "      <th>TRIS3</th>\n",
 765 |               "      <th>TRPL4</th>\n",
 766 |               "      <th>TUPY3</th>\n",
 767 |               "      <th>UGPA3</th>\n",
 768 |               "      <th>UNIP3</th>\n",
 769 |               "      <th>UNIP6</th>\n",
 770 |               "      <th>USIM3</th>\n",
 771 |               "      <th>USIM5</th>\n",
 772 |               "      <th>VALE3</th>\n",
 773 |               "      <th>VIVT3</th>\n",
 774 |               "      <th>VLID3</th>\n",
 775 |               "      <th>VVAR3</th>\n",
 776 |               "      <th>WIZS3</th>\n",
 777 |               "      <th>WSON33</th>\n",
 778 |               "      <th>ALPA4</th>\n",
 779 |               "      <th>BOAS3</th>\n",
 780 |               "      <th>CASH3</th>\n",
 781 |               "      <th>ESPA3</th>\n",
 782 |               "      <th>GNDI3</th>\n",
 783 |               "      <th>HAPV3</th>\n",
 784 |               "      <th>LINX3</th>\n",
 785 |               "      <th>MATD3</th>\n",
 786 |               "      <th>MOSI3</th>\n",
 787 |               "      <th>NGRD3</th>\n",
 788 |               "      <th>ORVR3</th>\n",
 789 |               "      <th>PETZ3</th>\n",
 790 |               "      <th>RADL3</th>\n",
 791 |               "      <th>RDOR3</th>\n",
 792 |               "      <th>RENT3</th>\n",
 793 |               "      <th>SULA11</th>\n",
 794 |               "      <th>TFCO4</th>\n",
 795 |               "      <th>VAMO3</th>\n",
 796 |               "      <th>VIVA3</th>\n",
 797 |               "      <th>WEGE3</th>\n",
 798 |               "    </tr>\n",
 799 |               "  </thead>\n",
 800 |               "  <tbody>\n",
 801 |               "    <tr>\n",
 802 |               "      <th>pos</th>\n",
 803 |               "      <td>122</td>\n",
 804 |               "      <td>73</td>\n",
 805 |               "      <td>32</td>\n",
 806 |               "      <td>10</td>\n",
 807 |               "      <td>136</td>\n",
 808 |               "      <td>132</td>\n",
 809 |               "      <td>87</td>\n",
 810 |               "      <td>92</td>\n",
 811 |               "      <td>27</td>\n",
 812 |               "      <td>111</td>\n",
 813 |               "      <td>29</td>\n",
 814 |               "      <td>121</td>\n",
 815 |               "      <td>65</td>\n",
 816 |               "      <td>93</td>\n",
 817 |               "      <td>85</td>\n",
 818 |               "      <td>16</td>\n",
 819 |               "      <td>22</td>\n",
 820 |               "      <td>147.0</td>\n",
 821 |               "      <td>76</td>\n",
 822 |               "      <td>55</td>\n",
 823 |               "      <td>100</td>\n",
 824 |               "      <td>91.0</td>\n",
 825 |               "      <td>94</td>\n",
 826 |               "      <td>109.0</td>\n",
 827 |               "      <td>128.0</td>\n",
 828 |               "      <td>45</td>\n",
 829 |               "      <td>34</td>\n",
 830 |               "      <td>17</td>\n",
 831 |               "      <td>62</td>\n",
 832 |               "      <td>15</td>\n",
 833 |               "      <td>23</td>\n",
 834 |               "      <td>72</td>\n",
 835 |               "      <td>144.0</td>\n",
 836 |               "      <td>44</td>\n",
 837 |               "      <td>40</td>\n",
 838 |               "      <td>82</td>\n",
 839 |               "      <td>119</td>\n",
 840 |               "      <td>57</td>\n",
 841 |               "      <td>31.0</td>\n",
 842 |               "      <td>116</td>\n",
 843 |               "      <td>...</td>\n",
 844 |               "      <td>47</td>\n",
 845 |               "      <td>68</td>\n",
 846 |               "      <td>99</td>\n",
 847 |               "      <td>42</td>\n",
 848 |               "      <td>63</td>\n",
 849 |               "      <td>104</td>\n",
 850 |               "      <td>84</td>\n",
 851 |               "      <td>24</td>\n",
 852 |               "      <td>98</td>\n",
 853 |               "      <td>134</td>\n",
 854 |               "      <td>26</td>\n",
 855 |               "      <td>35</td>\n",
 856 |               "      <td>41</td>\n",
 857 |               "      <td>37</td>\n",
 858 |               "      <td>12</td>\n",
 859 |               "      <td>97.0</td>\n",
 860 |               "      <td>142.0</td>\n",
 861 |               "      <td>81</td>\n",
 862 |               "      <td>6</td>\n",
 863 |               "      <td>46</td>\n",
 864 |               "      <td>NaN</td>\n",
 865 |               "      <td>NaN</td>\n",
 866 |               "      <td>NaN</td>\n",
 867 |               "      <td>NaN</td>\n",
 868 |               "      <td>NaN</td>\n",
 869 |               "      <td>NaN</td>\n",
 870 |               "      <td>NaN</td>\n",
 871 |               "      <td>NaN</td>\n",
 872 |               "      <td>NaN</td>\n",
 873 |               "      <td>NaN</td>\n",
 874 |               "      <td>NaN</td>\n",
 875 |               "      <td>NaN</td>\n",
 876 |               "      <td>NaN</td>\n",
 877 |               "      <td>NaN</td>\n",
 878 |               "      <td>NaN</td>\n",
 879 |               "      <td>NaN</td>\n",
 880 |               "      <td>NaN</td>\n",
 881 |               "      <td>NaN</td>\n",
 882 |               "      <td>NaN</td>\n",
 883 |               "      <td>NaN</td>\n",
 884 |               "    </tr>\n",
 885 |               "    <tr>\n",
 886 |               "      <th>pos</th>\n",
 887 |               "      <td>60</td>\n",
 888 |               "      <td>59</td>\n",
 889 |               "      <td>40</td>\n",
 890 |               "      <td>47</td>\n",
 891 |               "      <td>114</td>\n",
 892 |               "      <td>148</td>\n",
 893 |               "      <td>25</td>\n",
 894 |               "      <td>2</td>\n",
 895 |               "      <td>7</td>\n",
 896 |               "      <td>34</td>\n",
 897 |               "      <td>29</td>\n",
 898 |               "      <td>10</td>\n",
 899 |               "      <td>32</td>\n",
 900 |               "      <td>105</td>\n",
 901 |               "      <td>121</td>\n",
 902 |               "      <td>31</td>\n",
 903 |               "      <td>30</td>\n",
 904 |               "      <td>NaN</td>\n",
 905 |               "      <td>54</td>\n",
 906 |               "      <td>70</td>\n",
 907 |               "      <td>52</td>\n",
 908 |               "      <td>NaN</td>\n",
 909 |               "      <td>103</td>\n",
 910 |               "      <td>NaN</td>\n",
 911 |               "      <td>NaN</td>\n",
 912 |               "      <td>97</td>\n",
 913 |               "      <td>98</td>\n",
 914 |               "      <td>4</td>\n",
 915 |               "      <td>81</td>\n",
 916 |               "      <td>106</td>\n",
 917 |               "      <td>107</td>\n",
 918 |               "      <td>83</td>\n",
 919 |               "      <td>NaN</td>\n",
 920 |               "      <td>82</td>\n",
 921 |               "      <td>20</td>\n",
 922 |               "      <td>39</td>\n",
 923 |               "      <td>150</td>\n",
 924 |               "      <td>143</td>\n",
 925 |               "      <td>NaN</td>\n",
 926 |               "      <td>93</td>\n",
 927 |               "      <td>...</td>\n",
 928 |               "      <td>84</td>\n",
 929 |               "      <td>124</td>\n",
 930 |               "      <td>65</td>\n",
 931 |               "      <td>27</td>\n",
 932 |               "      <td>119</td>\n",
 933 |               "      <td>21</td>\n",
 934 |               "      <td>96</td>\n",
 935 |               "      <td>58</td>\n",
 936 |               "      <td>135</td>\n",
 937 |               "      <td>145</td>\n",
 938 |               "      <td>14</td>\n",
 939 |               "      <td>13</td>\n",
 940 |               "      <td>48</td>\n",
 941 |               "      <td>49</td>\n",
 942 |               "      <td>15</td>\n",
 943 |               "      <td>NaN</td>\n",
 944 |               "      <td>NaN</td>\n",
 945 |               "      <td>99</td>\n",
 946 |               "      <td>3</td>\n",
 947 |               "      <td>50</td>\n",
 948 |               "      <td>44.0</td>\n",
 949 |               "      <td>1.0</td>\n",
 950 |               "      <td>63.0</td>\n",
 951 |               "      <td>146.0</td>\n",
 952 |               "      <td>122.0</td>\n",
 953 |               "      <td>100.0</td>\n",
 954 |               "      <td>147.0</td>\n",
 955 |               "      <td>33.0</td>\n",
 956 |               "      <td>11.0</td>\n",
 957 |               "      <td>94.0</td>\n",
 958 |               "      <td>131.0</td>\n",
 959 |               "      <td>104.0</td>\n",
 960 |               "      <td>116.0</td>\n",
 961 |               "      <td>138.0</td>\n",
 962 |               "      <td>80.0</td>\n",
 963 |               "      <td>115.0</td>\n",
 964 |               "      <td>36.0</td>\n",
 965 |               "      <td>87.0</td>\n",
 966 |               "      <td>79.0</td>\n",
 967 |               "      <td>24.0</td>\n",
 968 |               "    </tr>\n",
 969 |               "  </tbody>\n",
 970 |               "</table>\n",
 971 |               "<p>2 rows × 170 columns</p>\n",
 972 |               "</div>"
 973 |             ],
 974 |             "text/plain": [
 975 |               "     ABEV3  AGRO3  ALLD3  ALUP11  AMBP3  ...  SULA11  TFCO4  VAMO3  VIVA3  WEGE3\n",
 976 |               "pos    122     73     32      10    136  ...     NaN    NaN    NaN    NaN    NaN\n",
 977 |               "pos     60     59     40      47    114  ...   115.0   36.0   87.0   79.0   24.0\n",
 978 |               "\n",
 979 |               "[2 rows x 170 columns]"
 980 |             ]
 981 |           },
 982 |           "metadata": {
 983 |             "tags": []
 984 |           },
 985 |           "execution_count": 12
 986 |         }
 987 |       ]
 988 |     },
 989 |     {
 990 |       "cell_type": "code",
 991 |       "metadata": {
 992 |         "id": "akOZIhfVhIXJ",
 993 |         "colab": {
 994 |           "base_uri": "https://localhost:8080/"
 995 |         },
 996 |         "outputId": "036e4993-e75f-4d05-a2b4-780800875734"
 997 |       },
 998 |       "source": [
 999 |         "rank = t.dropna(axis=1).sum()\n",
1000 |         "rank"
1001 |       ],
1002 |       "execution_count": 13,
1003 |       "outputs": [
1004 |         {
1005 |           "output_type": "execute_result",
1006 |           "data": {
1007 |             "text/plain": [
1008 |               "ABEV3     182\n",
1009 |               "AGRO3     132\n",
1010 |               "ALLD3      72\n",
1011 |               "ALUP11     57\n",
1012 |               "AMBP3     250\n",
1013 |               "         ... \n",
1014 |               "USIM5      86\n",
1015 |               "VALE3      27\n",
1016 |               "VVAR3     180\n",
1017 |               "WIZS3       9\n",
1018 |               "WSON33     96\n",
1019 |               "Length: 130, dtype: int64"
1020 |             ]
1021 |           },
1022 |           "metadata": {
1023 |             "tags": []
1024 |           },
1025 |           "execution_count": 13
1026 |         }
1027 |       ]
1028 |     },
1029 |     {
1030 |       "cell_type": "code",
1031 |       "metadata": {
1032 |         "id": "jVmQtM8chVyQ",
1033 |         "colab": {
1034 |           "base_uri": "https://localhost:8080/"
1035 |         },
1036 |         "outputId": "62f3805f-dbf7-46ac-9e70-74a137a47171"
1037 |       },
1038 |       "source": [
1039 |         "rank.sort_values()[:15]"
1040 |       ],
1041 |       "execution_count": 14,
1042 |       "outputs": [
1043 |         {
1044 |           "output_type": "execute_result",
1045 |           "data": {
1046 |             "text/plain": [
1047 |               "PSSA3      7\n",
1048 |               "WIZS3      9\n",
1049 |               "CMIN3     21\n",
1050 |               "PLPL3     25\n",
1051 |               "MRFG3     25\n",
1052 |               "VALE3     27\n",
1053 |               "TASA4     28\n",
1054 |               "MNPR3     29\n",
1055 |               "AURA33    34\n",
1056 |               "TASA3     34\n",
1057 |               "UNIP3     40\n",
1058 |               "BRKM3     47\n",
1059 |               "UNIP6     48\n",
1060 |               "FHER3     49\n",
1061 |               "BRKM5     52\n",
1062 |               "dtype: int64"
1063 |             ]
1064 |           },
1065 |           "metadata": {
1066 |             "tags": []
1067 |           },
1068 |           "execution_count": 14
1069 |         }
1070 |       ]
1071 |     },
1072 |     {
1073 |       "cell_type": "code",
1074 |       "metadata": {
1075 |         "id": "wQU3hp4shcsI"
1076 |       },
1077 |       "source": [
1078 |         ""
1079 |       ],
1080 |       "execution_count": null,
1081 |       "outputs": []
1082 |     }
1083 |   ]
1084 | }


--------------------------------------------------------------------------------
/09_Alpha_Vantage_Python_para_Investimentos.ipynb:
--------------------------------------------------------------------------------
  1 | {
  2 |   "nbformat": 4,
  3 |   "nbformat_minor": 0,
  4 |   "metadata": {
  5 |     "colab": {
  6 |       "name": "09 - Alpha Vantage - Python para Investimentos.ipynb",
  7 |       "provenance": [],
  8 |       "collapsed_sections": [],
  9 |       "authorship_tag": "ABX9TyMyEEIkeE7fDkFPSQiYckqP",
 10 |       "include_colab_link": true
 11 |     },
 12 |     "kernelspec": {
 13 |       "name": "python3",
 14 |       "display_name": "Python 3"
 15 |     }
 16 |   },
 17 |   "cells": [
 18 |     {
 19 |       "cell_type": "markdown",
 20 |       "metadata": {
 21 |         "id": "view-in-github",
 22 |         "colab_type": "text"
 23 |       },
 24 |       "source": [
 25 |         "<a href=\"https://colab.research.google.com/github/ricospeloacaso/python_para_investimentos/blob/master/09_Alpha_Vantage_Python_para_Investimentos.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
 26 |       ]
 27 |     },
 28 |     {
 29 |       "cell_type": "markdown",
 30 |       "metadata": {
 31 |         "id": "Vjr4Ro8xQll7",
 32 |         "colab_type": "text"
 33 |       },
 34 |       "source": [
 35 |         "# Ricos pelo Acaso\n",
 36 |         "\n",
 37 |         "*Link* para o vídeo: https://youtu.be/kB4jCoVyLRI"
 38 |       ]
 39 |     },
 40 |     {
 41 |       "cell_type": "markdown",
 42 |       "metadata": {
 43 |         "id": "XXN3-mNhxNOP",
 44 |         "colab_type": "text"
 45 |       },
 46 |       "source": [
 47 |         "# Bibliotecas"
 48 |       ]
 49 |     },
 50 |     {
 51 |       "cell_type": "code",
 52 |       "metadata": {
 53 |         "id": "OHHEzZzwRRhx",
 54 |         "colab_type": "code",
 55 |         "colab": {}
 56 |       },
 57 |       "source": [
 58 |         "import numpy as np\n",
 59 |         "import pandas as pd\n",
 60 |         "import matplotlib.pyplot as plt\n",
 61 |         "import seaborn as sns; sns.set()\n",
 62 |         "\n",
 63 |         "import matplotlib\n",
 64 |         "matplotlib.rcParams['figure.figsize'] = (16, 8)"
 65 |       ],
 66 |       "execution_count": 0,
 67 |       "outputs": []
 68 |     },
 69 |     {
 70 |       "cell_type": "code",
 71 |       "metadata": {
 72 |         "id": "F336SM7MPniI",
 73 |         "colab_type": "code",
 74 |         "colab": {}
 75 |       },
 76 |       "source": [
 77 |         "!pip install alpha_vantage"
 78 |       ],
 79 |       "execution_count": 0,
 80 |       "outputs": []
 81 |     },
 82 |     {
 83 |       "cell_type": "code",
 84 |       "metadata": {
 85 |         "id": "B4w76OYeQLCP",
 86 |         "colab_type": "code",
 87 |         "colab": {}
 88 |       },
 89 |       "source": [
 90 |         "from alpha_vantage.timeseries import TimeSeries"
 91 |       ],
 92 |       "execution_count": 0,
 93 |       "outputs": []
 94 |     },
 95 |     {
 96 |       "cell_type": "markdown",
 97 |       "metadata": {
 98 |         "id": "uTu7q3p8QOrH",
 99 |         "colab_type": "text"
100 |       },
101 |       "source": [
102 |         "# Chave de Acesso a API da Alpha Vantage"
103 |       ]
104 |     },
105 |     {
106 |       "cell_type": "code",
107 |       "metadata": {
108 |         "id": "CidOSQf2QQ7_",
109 |         "colab_type": "code",
110 |         "colab": {}
111 |       },
112 |       "source": [
113 |         "ALPHAVANTAGE_API_KEY ='cole aqui sua chave obtida no site alphavantage.co'"
114 |       ],
115 |       "execution_count": 0,
116 |       "outputs": []
117 |     },
118 |     {
119 |       "cell_type": "markdown",
120 |       "metadata": {
121 |         "id": "jauhh7l1QwMx",
122 |         "colab_type": "text"
123 |       },
124 |       "source": [
125 |         "# Acessando a API"
126 |       ]
127 |     },
128 |     {
129 |       "cell_type": "code",
130 |       "metadata": {
131 |         "id": "aG8KOldPT7Jc",
132 |         "colab_type": "code",
133 |         "colab": {}
134 |       },
135 |       "source": [
136 |         "ts = TimeSeries(key=ALPHAVANTAGE_API_KEY, output_format='pandas')"
137 |       ],
138 |       "execution_count": 0,
139 |       "outputs": []
140 |     },
141 |     {
142 |       "cell_type": "code",
143 |       "metadata": {
144 |         "id": "jdtBezS8JzT6",
145 |         "colab_type": "code",
146 |         "outputId": "e3b796f7-29ad-4cb5-ca6f-720dd6705f10",
147 |         "colab": {
148 |           "base_uri": "https://localhost:8080/",
149 |           "height": 260
150 |         }
151 |       },
152 |       "source": [
153 |         "ts.get_symbol_search('itau')"
154 |       ],
155 |       "execution_count": 0,
156 |       "outputs": [
157 |         {
158 |           "output_type": "execute_result",
159 |           "data": {
160 |             "text/plain": [
161 |               "(                                      1. symbol  ... 9. matchScore\n",
162 |               " date                                             ...              \n",
163 |               " 1970-01-01 00:00:00.000000000              ITUB  ...        0.7500\n",
164 |               " 1970-01-01 00:00:00.000000001              ITCB  ...        0.5455\n",
165 |               " 1970-01-01 00:00:00.000000002         ITUB4.SAO  ...        0.5333\n",
166 |               " 1970-01-01 00:00:00.000000003         ITSA4.SAO  ...        0.5000\n",
167 |               " 1970-01-01 00:00:00.000000004         ITUB3.SAO  ...        0.5000\n",
168 |               " 1970-01-01 00:00:00.000000005         ITSA3.SAO  ...        0.5000\n",
169 |               " 1970-01-01 00:00:00.000000006      ITAUCORP.SAN  ...        0.5000\n",
170 |               " 1970-01-01 00:00:00.000000007    0P0000UBY2.SAO  ...        0.5000\n",
171 |               " 1970-01-01 00:00:00.000000008          ITUB.ARG  ...        0.4211\n",
172 |               " 1970-01-01 00:00:00.000000009  ITAITAUPREVP.SAO  ...        0.1176\n",
173 |               " \n",
174 |               " [10 rows x 9 columns], None)"
175 |             ]
176 |           },
177 |           "metadata": {
178 |             "tags": []
179 |           },
180 |           "execution_count": 6
181 |         }
182 |       ]
183 |     },
184 |     {
185 |       "cell_type": "code",
186 |       "metadata": {
187 |         "id": "m7CVaoEXJ4_k",
188 |         "colab_type": "code",
189 |         "colab": {}
190 |       },
191 |       "source": [
192 |         "dados, meta_dados = ts.get_daily(symbol='^BVSP', outputsize='full')"
193 |       ],
194 |       "execution_count": 0,
195 |       "outputs": []
196 |     },
197 |     {
198 |       "cell_type": "code",
199 |       "metadata": {
200 |         "id": "NJcSIuWoKHXj",
201 |         "colab_type": "code",
202 |         "outputId": "07e6a1f7-14ce-431d-ff43-f98c19263ed1",
203 |         "colab": {
204 |           "base_uri": "https://localhost:8080/",
205 |           "height": 446
206 |         }
207 |       },
208 |       "source": [
209 |         "dados"
210 |       ],
211 |       "execution_count": 0,
212 |       "outputs": [
213 |         {
214 |           "output_type": "execute_result",
215 |           "data": {
216 |             "text/html": [
217 |               "<div>\n",
218 |               "<style scoped>\n",
219 |               "    .dataframe tbody tr th:only-of-type {\n",
220 |               "        vertical-align: middle;\n",
221 |               "    }\n",
222 |               "\n",
223 |               "    .dataframe tbody tr th {\n",
224 |               "        vertical-align: top;\n",
225 |               "    }\n",
226 |               "\n",
227 |               "    .dataframe thead th {\n",
228 |               "        text-align: right;\n",
229 |               "    }\n",
230 |               "</style>\n",
231 |               "<table border=\"1\" class=\"dataframe\">\n",
232 |               "  <thead>\n",
233 |               "    <tr style=\"text-align: right;\">\n",
234 |               "      <th></th>\n",
235 |               "      <th>1. open</th>\n",
236 |               "      <th>2. high</th>\n",
237 |               "      <th>3. low</th>\n",
238 |               "      <th>4. close</th>\n",
239 |               "      <th>5. volume</th>\n",
240 |               "    </tr>\n",
241 |               "    <tr>\n",
242 |               "      <th>date</th>\n",
243 |               "      <th></th>\n",
244 |               "      <th></th>\n",
245 |               "      <th></th>\n",
246 |               "      <th></th>\n",
247 |               "      <th></th>\n",
248 |               "    </tr>\n",
249 |               "  </thead>\n",
250 |               "  <tbody>\n",
251 |               "    <tr>\n",
252 |               "      <th>2020-03-27</th>\n",
253 |               "      <td>77708.0</td>\n",
254 |               "      <td>77708.0</td>\n",
255 |               "      <td>73057.0</td>\n",
256 |               "      <td>73429.0</td>\n",
257 |               "      <td>10301400.0</td>\n",
258 |               "    </tr>\n",
259 |               "    <tr>\n",
260 |               "      <th>2020-03-26</th>\n",
261 |               "      <td>74956.0</td>\n",
262 |               "      <td>78846.0</td>\n",
263 |               "      <td>74923.0</td>\n",
264 |               "      <td>77710.0</td>\n",
265 |               "      <td>12758000.0</td>\n",
266 |               "    </tr>\n",
267 |               "    <tr>\n",
268 |               "      <th>2020-03-25</th>\n",
269 |               "      <td>69727.0</td>\n",
270 |               "      <td>76714.0</td>\n",
271 |               "      <td>69360.0</td>\n",
272 |               "      <td>74956.0</td>\n",
273 |               "      <td>12951100.0</td>\n",
274 |               "    </tr>\n",
275 |               "    <tr>\n",
276 |               "      <th>2020-03-24</th>\n",
277 |               "      <td>63604.0</td>\n",
278 |               "      <td>71535.0</td>\n",
279 |               "      <td>63604.0</td>\n",
280 |               "      <td>69729.0</td>\n",
281 |               "      <td>11679900.0</td>\n",
282 |               "    </tr>\n",
283 |               "    <tr>\n",
284 |               "      <th>2020-03-23</th>\n",
285 |               "      <td>67067.0</td>\n",
286 |               "      <td>67604.0</td>\n",
287 |               "      <td>62161.0</td>\n",
288 |               "      <td>63570.0</td>\n",
289 |               "      <td>11962200.0</td>\n",
290 |               "    </tr>\n",
291 |               "    <tr>\n",
292 |               "      <th>...</th>\n",
293 |               "      <td>...</td>\n",
294 |               "      <td>...</td>\n",
295 |               "      <td>...</td>\n",
296 |               "      <td>...</td>\n",
297 |               "      <td>...</td>\n",
298 |               "    </tr>\n",
299 |               "    <tr>\n",
300 |               "      <th>2000-01-07</th>\n",
301 |               "      <td>16125.0</td>\n",
302 |               "      <td>16449.0</td>\n",
303 |               "      <td>16125.0</td>\n",
304 |               "      <td>16309.0</td>\n",
305 |               "      <td>0.0</td>\n",
306 |               "    </tr>\n",
307 |               "    <tr>\n",
308 |               "      <th>2000-01-06</th>\n",
309 |               "      <td>16237.0</td>\n",
310 |               "      <td>16499.0</td>\n",
311 |               "      <td>15977.0</td>\n",
312 |               "      <td>16107.0</td>\n",
313 |               "      <td>0.0</td>\n",
314 |               "    </tr>\n",
315 |               "    <tr>\n",
316 |               "      <th>2000-01-05</th>\n",
317 |               "      <td>15871.0</td>\n",
318 |               "      <td>16302.0</td>\n",
319 |               "      <td>15350.0</td>\n",
320 |               "      <td>16245.0</td>\n",
321 |               "      <td>0.0</td>\n",
322 |               "    </tr>\n",
323 |               "    <tr>\n",
324 |               "      <th>2000-01-04</th>\n",
325 |               "      <td>16908.0</td>\n",
326 |               "      <td>16908.0</td>\n",
327 |               "      <td>15851.0</td>\n",
328 |               "      <td>15851.0</td>\n",
329 |               "      <td>0.0</td>\n",
330 |               "    </tr>\n",
331 |               "    <tr>\n",
332 |               "      <th>2000-01-03</th>\n",
333 |               "      <td>17098.0</td>\n",
334 |               "      <td>17408.0</td>\n",
335 |               "      <td>16719.0</td>\n",
336 |               "      <td>16930.0</td>\n",
337 |               "      <td>0.0</td>\n",
338 |               "    </tr>\n",
339 |               "  </tbody>\n",
340 |               "</table>\n",
341 |               "<p>5094 rows × 5 columns</p>\n",
342 |               "</div>"
343 |             ],
344 |             "text/plain": [
345 |               "            1. open  2. high   3. low  4. close   5. volume\n",
346 |               "date                                                       \n",
347 |               "2020-03-27  77708.0  77708.0  73057.0   73429.0  10301400.0\n",
348 |               "2020-03-26  74956.0  78846.0  74923.0   77710.0  12758000.0\n",
349 |               "2020-03-25  69727.0  76714.0  69360.0   74956.0  12951100.0\n",
350 |               "2020-03-24  63604.0  71535.0  63604.0   69729.0  11679900.0\n",
351 |               "2020-03-23  67067.0  67604.0  62161.0   63570.0  11962200.0\n",
352 |               "...             ...      ...      ...       ...         ...\n",
353 |               "2000-01-07  16125.0  16449.0  16125.0   16309.0         0.0\n",
354 |               "2000-01-06  16237.0  16499.0  15977.0   16107.0         0.0\n",
355 |               "2000-01-05  15871.0  16302.0  15350.0   16245.0         0.0\n",
356 |               "2000-01-04  16908.0  16908.0  15851.0   15851.0         0.0\n",
357 |               "2000-01-03  17098.0  17408.0  16719.0   16930.0         0.0\n",
358 |               "\n",
359 |               "[5094 rows x 5 columns]"
360 |             ]
361 |           },
362 |           "metadata": {
363 |             "tags": []
364 |           },
365 |           "execution_count": 8
366 |         }
367 |       ]
368 |     },
369 |     {
370 |       "cell_type": "code",
371 |       "metadata": {
372 |         "id": "KDagA-X9KIyk",
373 |         "colab_type": "code",
374 |         "outputId": "d4d2a232-cfb2-4c56-c045-e7bfadf23dac",
375 |         "colab": {
376 |           "base_uri": "https://localhost:8080/",
377 |           "height": 104
378 |         }
379 |       },
380 |       "source": [
381 |         "meta_dados"
382 |       ],
383 |       "execution_count": 0,
384 |       "outputs": [
385 |         {
386 |           "output_type": "execute_result",
387 |           "data": {
388 |             "text/plain": [
389 |               "{'1. Information': 'Daily Prices (open, high, low, close) and Volumes',\n",
390 |               " '2. Symbol': '^BVSP',\n",
391 |               " '3. Last Refreshed': '2020-03-27',\n",
392 |               " '4. Output Size': 'Full size',\n",
393 |               " '5. Time Zone': 'US/Eastern'}"
394 |             ]
395 |           },
396 |           "metadata": {
397 |             "tags": []
398 |           },
399 |           "execution_count": 9
400 |         }
401 |       ]
402 |     },
403 |     {
404 |       "cell_type": "code",
405 |       "metadata": {
406 |         "id": "0nBX9-U1KMr8",
407 |         "colab_type": "code",
408 |         "outputId": "b2b3af36-7f9c-4db9-f73f-1379f349dce4",
409 |         "colab": {
410 |           "base_uri": "https://localhost:8080/",
411 |           "height": 489
412 |         }
413 |       },
414 |       "source": [
415 |         "dados['4. close'].plot()"
416 |       ],
417 |       "execution_count": 0,
418 |       "outputs": [
419 |         {
420 |           "output_type": "execute_result",
421 |           "data": {
422 |             "text/plain": [
423 |               "<matplotlib.axes._subplots.AxesSubplot at 0x7f3fb7016c50>"
424 |             ]
425 |           },
426 |           "metadata": {
427 |             "tags": []
428 |           },
429 |           "execution_count": 10
430 |         },
431 |         {
432 |           "output_type": "display_data",
433 |           "data": {
434 |             "image/png": 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tjIiIiIiIiGhku++ZHT7v//n+CZ/3oVKd++wubPzkVNhz6LwBr0FjDnAsCEIci1sRERER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\nOnt0ngAAAABJRU5ErkJggg==\n",
435 |             "text/plain": [
436 |               "<Figure size 1152x576 with 1 Axes>"
437 |             ]
438 |           },
439 |           "metadata": {
440 |             "tags": []
441 |           }
442 |         }
443 |       ]
444 |     },
445 |     {
446 |       "cell_type": "code",
447 |       "metadata": {
448 |         "id": "7GZlX0SoKR4e",
449 |         "colab_type": "code",
450 |         "colab": {}
451 |       },
452 |       "source": [
453 |         ""
454 |       ],
455 |       "execution_count": 0,
456 |       "outputs": []
457 |     }
458 |   ]
459 | }


--------------------------------------------------------------------------------
/14_Integrando_Google_Colab_e_Google_Planilhas_(spreadsheet).ipynb:
--------------------------------------------------------------------------------
  1 | {
  2 |   "nbformat": 4,
  3 |   "nbformat_minor": 0,
  4 |   "metadata": {
  5 |     "colab": {
  6 |       "name": "14 - Integrando Google Colab e Google Planilhas (spreadsheet).ipynb",
  7 |       "provenance": [],
  8 |       "include_colab_link": true
  9 |     },
 10 |     "kernelspec": {
 11 |       "name": "python3",
 12 |       "display_name": "Python 3"
 13 |     }
 14 |   },
 15 |   "cells": [
 16 |     {
 17 |       "cell_type": "markdown",
 18 |       "metadata": {
 19 |         "id": "view-in-github",
 20 |         "colab_type": "text"
 21 |       },
 22 |       "source": [
 23 |         "<a href=\"https://colab.research.google.com/github/ricospeloacaso/python_para_investimentos/blob/master/14_Integrando_Google_Colab_e_Google_Planilhas_(spreadsheet).ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
 24 |       ]
 25 |     },
 26 |     {
 27 |       "cell_type": "markdown",
 28 |       "metadata": {
 29 |         "id": "_X9BhKltk_cb",
 30 |         "colab_type": "text"
 31 |       },
 32 |       "source": [
 33 |         "###Ricos pelo Acaso\n",
 34 |         "* Link para o vídeo: https://youtu.be/YaCeqXpxWUk"
 35 |       ]
 36 |     },
 37 |     {
 38 |       "cell_type": "markdown",
 39 |       "metadata": {
 40 |         "id": "xdIDjdI1Uq5Y",
 41 |         "colab_type": "text"
 42 |       },
 43 |       "source": [
 44 |         ">Instalando `gspread`"
 45 |       ]
 46 |     },
 47 |     {
 48 |       "cell_type": "code",
 49 |       "metadata": {
 50 |         "id": "8f78dBjnA3Y-",
 51 |         "colab_type": "code",
 52 |         "colab": {}
 53 |       },
 54 |       "source": [
 55 |         "!pip install gspread"
 56 |       ],
 57 |       "execution_count": 0,
 58 |       "outputs": []
 59 |     },
 60 |     {
 61 |       "cell_type": "markdown",
 62 |       "metadata": {
 63 |         "id": "40vthssCUv1X",
 64 |         "colab_type": "text"
 65 |       },
 66 |       "source": [
 67 |         ">Importando as Bibliotecas"
 68 |       ]
 69 |     },
 70 |     {
 71 |       "cell_type": "code",
 72 |       "metadata": {
 73 |         "id": "VgLSPFycA9SJ",
 74 |         "colab_type": "code",
 75 |         "colab": {}
 76 |       },
 77 |       "source": [
 78 |         "from google.colab import auth\n",
 79 |         "import gspread\n",
 80 |         "from oauth2client.client import GoogleCredentials"
 81 |       ],
 82 |       "execution_count": 0,
 83 |       "outputs": []
 84 |     },
 85 |     {
 86 |       "cell_type": "markdown",
 87 |       "metadata": {
 88 |         "id": "R2du4Rvuxq4h",
 89 |         "colab_type": "text"
 90 |       },
 91 |       "source": [
 92 |         ">Realizando a Autenticação"
 93 |       ]
 94 |     },
 95 |     {
 96 |       "cell_type": "code",
 97 |       "metadata": {
 98 |         "id": "bJGFIHvJxcfo",
 99 |         "colab_type": "code",
100 |         "colab": {}
101 |       },
102 |       "source": [
103 |         "auth.authenticate_user()\n",
104 |         "gc = gspread.authorize(GoogleCredentials.get_application_default())"
105 |       ],
106 |       "execution_count": 0,
107 |       "outputs": []
108 |     },
109 |     {
110 |       "cell_type": "markdown",
111 |       "metadata": {
112 |         "id": "SBpuhBm9U8cg",
113 |         "colab_type": "text"
114 |       },
115 |       "source": [
116 |         ">Criando uma planilha vazia"
117 |       ]
118 |     },
119 |     {
120 |       "cell_type": "code",
121 |       "metadata": {
122 |         "id": "PpVsOifeBB0m",
123 |         "colab_type": "code",
124 |         "outputId": "ec175888-ae1c-4d87-acb3-813f6beab574",
125 |         "colab": {
126 |           "base_uri": "https://localhost:8080/",
127 |           "height": 34
128 |         }
129 |       },
130 |       "source": [
131 |         "gc.create('Planilha01')"
132 |       ],
133 |       "execution_count": 0,
134 |       "outputs": [
135 |         {
136 |           "output_type": "execute_result",
137 |           "data": {
138 |             "text/plain": [
139 |               "<Spreadsheet 'Planilha01' id:19pRZ5GYD4cGGa-p2yoiuy05sKefT6w-XFUpi04jPlgE>"
140 |             ]
141 |           },
142 |           "metadata": {
143 |             "tags": []
144 |           },
145 |           "execution_count": 4
146 |         }
147 |       ]
148 |     },
149 |     {
150 |       "cell_type": "markdown",
151 |       "metadata": {
152 |         "id": "PLGoqsjliO8P",
153 |         "colab_type": "text"
154 |       },
155 |       "source": [
156 |         ">Abrindo uma Planilha"
157 |       ]
158 |     },
159 |     {
160 |       "cell_type": "code",
161 |       "metadata": {
162 |         "id": "WCxNYLZCiPBv",
163 |         "colab_type": "code",
164 |         "colab": {}
165 |       },
166 |       "source": [
167 |         "planilha = gc.open('Planilha01')"
168 |       ],
169 |       "execution_count": 0,
170 |       "outputs": []
171 |     },
172 |     {
173 |       "cell_type": "markdown",
174 |       "metadata": {
175 |         "id": "4qHcboXCVZ_j",
176 |         "colab_type": "text"
177 |       },
178 |       "source": [
179 |         ">Adicionando uma nova Página\n",
180 |         "\n"
181 |       ]
182 |     },
183 |     {
184 |       "cell_type": "code",
185 |       "metadata": {
186 |         "id": "gSLxsA5sVfuR",
187 |         "colab_type": "code",
188 |         "outputId": "9fec4a45-58f6-4a39-be01-df732dead789",
189 |         "colab": {
190 |           "base_uri": "https://localhost:8080/",
191 |           "height": 34
192 |         }
193 |       },
194 |       "source": [
195 |         "planilha.add_worksheet('nova_pagina', 10, 5)"
196 |       ],
197 |       "execution_count": 0,
198 |       "outputs": [
199 |         {
200 |           "output_type": "execute_result",
201 |           "data": {
202 |             "text/plain": [
203 |               "<Worksheet 'nova_pagina' id:40256675>"
204 |             ]
205 |           },
206 |           "metadata": {
207 |             "tags": []
208 |           },
209 |           "execution_count": 7
210 |         }
211 |       ]
212 |     },
213 |     {
214 |       "cell_type": "markdown",
215 |       "metadata": {
216 |         "id": "UtRICcfNaMOq",
217 |         "colab_type": "text"
218 |       },
219 |       "source": [
220 |         ">Selecionando uma Página"
221 |       ]
222 |     },
223 |     {
224 |       "cell_type": "code",
225 |       "metadata": {
226 |         "id": "dGhngLzmhJO1",
227 |         "colab_type": "code",
228 |         "colab": {}
229 |       },
230 |       "source": [
231 |         "pagina1 = planilha.get_worksheet(0)"
232 |       ],
233 |       "execution_count": 0,
234 |       "outputs": []
235 |     },
236 |     {
237 |       "cell_type": "markdown",
238 |       "metadata": {
239 |         "id": "hkWy8KOCi4py",
240 |         "colab_type": "text"
241 |       },
242 |       "source": [
243 |         ">Apagando uma Página"
244 |       ]
245 |     },
246 |     {
247 |       "cell_type": "code",
248 |       "metadata": {
249 |         "id": "6HvqjzJghZZH",
250 |         "colab_type": "code",
251 |         "outputId": "b118859d-0405-4385-973e-ff48182b7377",
252 |         "colab": {
253 |           "base_uri": "https://localhost:8080/",
254 |           "height": 51
255 |         }
256 |       },
257 |       "source": [
258 |         "planilha.del_worksheet(pagina1)"
259 |       ],
260 |       "execution_count": 0,
261 |       "outputs": [
262 |         {
263 |           "output_type": "execute_result",
264 |           "data": {
265 |             "text/plain": [
266 |               "{'replies': [{}],\n",
267 |               " 'spreadsheetId': '19pRZ5GYD4cGGa-p2yoiuy05sKefT6w-XFUpi04jPlgE'}"
268 |             ]
269 |           },
270 |           "metadata": {
271 |             "tags": []
272 |           },
273 |           "execution_count": 9
274 |         }
275 |       ]
276 |     },
277 |     {
278 |       "cell_type": "markdown",
279 |       "metadata": {
280 |         "id": "4-B4RpqpaOu5",
281 |         "colab_type": "text"
282 |       },
283 |       "source": [
284 |         ">Alterando os valores das células"
285 |       ]
286 |     },
287 |     {
288 |       "cell_type": "markdown",
289 |       "metadata": {
290 |         "id": "TkU-D5Zhkle4",
291 |         "colab_type": "text"
292 |       },
293 |       "source": [
294 |         ">>1º passo: selecionar a página"
295 |       ]
296 |     },
297 |     {
298 |       "cell_type": "code",
299 |       "metadata": {
300 |         "id": "BMNOIhJKjIQL",
301 |         "colab_type": "code",
302 |         "colab": {}
303 |       },
304 |       "source": [
305 |         "nova_pagina = planilha.get_worksheet(0)"
306 |       ],
307 |       "execution_count": 0,
308 |       "outputs": []
309 |     },
310 |     {
311 |       "cell_type": "markdown",
312 |       "metadata": {
313 |         "id": "Xx7MhtXaktQp",
314 |         "colab_type": "text"
315 |       },
316 |       "source": [
317 |         ">>`update_acell()`: pelo código da célula"
318 |       ]
319 |     },
320 |     {
321 |       "cell_type": "code",
322 |       "metadata": {
323 |         "id": "9w9LPmdRZtuQ",
324 |         "colab_type": "code",
325 |         "outputId": "60dc71a4-0f2a-4c78-c16d-a168e6436a1e",
326 |         "colab": {
327 |           "base_uri": "https://localhost:8080/",
328 |           "height": 102
329 |         }
330 |       },
331 |       "source": [
332 |         "nova_pagina.update_acell('a1', 120)"
333 |       ],
334 |       "execution_count": 0,
335 |       "outputs": [
336 |         {
337 |           "output_type": "execute_result",
338 |           "data": {
339 |             "text/plain": [
340 |               "{'spreadsheetId': '19pRZ5GYD4cGGa-p2yoiuy05sKefT6w-XFUpi04jPlgE',\n",
341 |               " 'updatedCells': 1,\n",
342 |               " 'updatedColumns': 1,\n",
343 |               " 'updatedRange': 'nova_pagina!A1',\n",
344 |               " 'updatedRows': 1}"
345 |             ]
346 |           },
347 |           "metadata": {
348 |             "tags": []
349 |           },
350 |           "execution_count": 11
351 |         }
352 |       ]
353 |     },
354 |     {
355 |       "cell_type": "markdown",
356 |       "metadata": {
357 |         "id": "Fr1mLethlDIF",
358 |         "colab_type": "text"
359 |       },
360 |       "source": [
361 |         ">>`update_cell`: pelos números da linha e coluna"
362 |       ]
363 |     },
364 |     {
365 |       "cell_type": "code",
366 |       "metadata": {
367 |         "id": "1eU9gm3qZtya",
368 |         "colab_type": "code",
369 |         "outputId": "c8872f71-dab5-4411-b07d-a9dbd03721e8",
370 |         "colab": {
371 |           "base_uri": "https://localhost:8080/",
372 |           "height": 102
373 |         }
374 |       },
375 |       "source": [
376 |         "nova_pagina.update_cell(2,2, 'qualquer texto')"
377 |       ],
378 |       "execution_count": 0,
379 |       "outputs": [
380 |         {
381 |           "output_type": "execute_result",
382 |           "data": {
383 |             "text/plain": [
384 |               "{'spreadsheetId': '19pRZ5GYD4cGGa-p2yoiuy05sKefT6w-XFUpi04jPlgE',\n",
385 |               " 'updatedCells': 1,\n",
386 |               " 'updatedColumns': 1,\n",
387 |               " 'updatedRange': 'nova_pagina!B2',\n",
388 |               " 'updatedRows': 1}"
389 |             ]
390 |           },
391 |           "metadata": {
392 |             "tags": []
393 |           },
394 |           "execution_count": 12
395 |         }
396 |       ]
397 |     },
398 |     {
399 |       "cell_type": "markdown",
400 |       "metadata": {
401 |         "id": "tldCxUqWlQBc",
402 |         "colab_type": "text"
403 |       },
404 |       "source": [
405 |         ">>`update_cells()`: por uma lista de valores"
406 |       ]
407 |     },
408 |     {
409 |       "cell_type": "code",
410 |       "metadata": {
411 |         "id": "ME3vC5O8bgR9",
412 |         "colab_type": "code",
413 |         "outputId": "2c0ca856-00d5-45d9-88cb-356166f8e6f6",
414 |         "colab": {
415 |           "base_uri": "https://localhost:8080/",
416 |           "height": 85
417 |         }
418 |       },
419 |       "source": [
420 |         "lista_cel = nova_pagina.range('a1:b2')\n",
421 |         "lista_cel"
422 |       ],
423 |       "execution_count": 0,
424 |       "outputs": [
425 |         {
426 |           "output_type": "execute_result",
427 |           "data": {
428 |             "text/plain": [
429 |               "[<Cell R1C1 '120'>,\n",
430 |               " <Cell R1C2 ''>,\n",
431 |               " <Cell R2C1 ''>,\n",
432 |               " <Cell R2C2 'qualquer texto'>]"
433 |             ]
434 |           },
435 |           "metadata": {
436 |             "tags": []
437 |           },
438 |           "execution_count": 13
439 |         }
440 |       ]
441 |     },
442 |     {
443 |       "cell_type": "code",
444 |       "metadata": {
445 |         "id": "fDF-oFOznejR",
446 |         "colab_type": "code",
447 |         "outputId": "e13d8237-f8c4-46dd-884f-532e0b79836d",
448 |         "colab": {
449 |           "base_uri": "https://localhost:8080/",
450 |           "height": 34
451 |         }
452 |       },
453 |       "source": [
454 |         "valores = ['a','b','c','d']\n",
455 |         "\n",
456 |         "for i, valor in enumerate(valores):\n",
457 |         "  lista_cel[i].value = valor\n",
458 |         "\n",
459 |         "lista_cel"
460 |       ],
461 |       "execution_count": 0,
462 |       "outputs": [
463 |         {
464 |           "output_type": "execute_result",
465 |           "data": {
466 |             "text/plain": [
467 |               "[<Cell R1C1 'a'>, <Cell R1C2 'b'>, <Cell R2C1 'c'>, <Cell R2C2 'd'>]"
468 |             ]
469 |           },
470 |           "metadata": {
471 |             "tags": []
472 |           },
473 |           "execution_count": 17
474 |         }
475 |       ]
476 |     },
477 |     {
478 |       "cell_type": "code",
479 |       "metadata": {
480 |         "id": "litmy4_xnGKx",
481 |         "colab_type": "code",
482 |         "outputId": "3e8f646c-1194-40c8-8fcb-390818279f3b",
483 |         "colab": {
484 |           "base_uri": "https://localhost:8080/",
485 |           "height": 102
486 |         }
487 |       },
488 |       "source": [
489 |         "nova_pagina.update_cells(lista_cel)"
490 |       ],
491 |       "execution_count": 0,
492 |       "outputs": [
493 |         {
494 |           "output_type": "execute_result",
495 |           "data": {
496 |             "text/plain": [
497 |               "{'spreadsheetId': '19pRZ5GYD4cGGa-p2yoiuy05sKefT6w-XFUpi04jPlgE',\n",
498 |               " 'updatedCells': 4,\n",
499 |               " 'updatedColumns': 2,\n",
500 |               " 'updatedRange': 'nova_pagina!A1:B2',\n",
501 |               " 'updatedRows': 2}"
502 |             ]
503 |           },
504 |           "metadata": {
505 |             "tags": []
506 |           },
507 |           "execution_count": 18
508 |         }
509 |       ]
510 |     },
511 |     {
512 |       "cell_type": "code",
513 |       "metadata": {
514 |         "id": "_CqDZr8LAj-3",
515 |         "colab_type": "code",
516 |         "colab": {}
517 |       },
518 |       "source": [
519 |         ""
520 |       ],
521 |       "execution_count": 0,
522 |       "outputs": []
523 |     }
524 |   ]
525 | }


--------------------------------------------------------------------------------
/15_Integrando_Google_Colab_e_Google_Planilhas_(spreadsheet).ipynb:
--------------------------------------------------------------------------------
   1 | {
   2 |   "nbformat": 4,
   3 |   "nbformat_minor": 0,
   4 |   "metadata": {
   5 |     "colab": {
   6 |       "name": "15 - Integrando Google Colab e Google Planilhas (spreadsheet).ipynb",
   7 |       "provenance": [],
   8 |       "include_colab_link": true
   9 |     },
  10 |     "kernelspec": {
  11 |       "name": "python3",
  12 |       "display_name": "Python 3"
  13 |     }
  14 |   },
  15 |   "cells": [
  16 |     {
  17 |       "cell_type": "markdown",
  18 |       "metadata": {
  19 |         "id": "view-in-github",
  20 |         "colab_type": "text"
  21 |       },
  22 |       "source": [
  23 |         "<a href=\"https://colab.research.google.com/github/ricospeloacaso/python_para_investimentos/blob/master/15_Integrando_Google_Colab_e_Google_Planilhas_(spreadsheet).ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
  24 |       ]
  25 |     },
  26 |     {
  27 |       "cell_type": "markdown",
  28 |       "metadata": {
  29 |         "id": "jAFCrMR4lhOk",
  30 |         "colab_type": "text"
  31 |       },
  32 |       "source": [
  33 |         "#Ricos pelo Acaso\n",
  34 |         "* Link para o vídeo: https://youtu.be/HlhbsrJ4_PQ"
  35 |       ]
  36 |     },
  37 |     {
  38 |       "cell_type": "markdown",
  39 |       "metadata": {
  40 |         "id": "xdIDjdI1Uq5Y",
  41 |         "colab_type": "text"
  42 |       },
  43 |       "source": [
  44 |         ">Instalando `gspread`"
  45 |       ]
  46 |     },
  47 |     {
  48 |       "cell_type": "code",
  49 |       "metadata": {
  50 |         "id": "8f78dBjnA3Y-",
  51 |         "colab_type": "code",
  52 |         "colab": {}
  53 |       },
  54 |       "source": [
  55 |         "!pip install gspread"
  56 |       ],
  57 |       "execution_count": 0,
  58 |       "outputs": []
  59 |     },
  60 |     {
  61 |       "cell_type": "markdown",
  62 |       "metadata": {
  63 |         "id": "40vthssCUv1X",
  64 |         "colab_type": "text"
  65 |       },
  66 |       "source": [
  67 |         ">Importando as Bibliotecas"
  68 |       ]
  69 |     },
  70 |     {
  71 |       "cell_type": "code",
  72 |       "metadata": {
  73 |         "id": "VgLSPFycA9SJ",
  74 |         "colab_type": "code",
  75 |         "colab": {}
  76 |       },
  77 |       "source": [
  78 |         "from google.colab import auth\n",
  79 |         "import gspread\n",
  80 |         "from oauth2client.client import GoogleCredentials"
  81 |       ],
  82 |       "execution_count": 0,
  83 |       "outputs": []
  84 |     },
  85 |     {
  86 |       "cell_type": "markdown",
  87 |       "metadata": {
  88 |         "id": "R2du4Rvuxq4h",
  89 |         "colab_type": "text"
  90 |       },
  91 |       "source": [
  92 |         ">Realizando a Autenticação"
  93 |       ]
  94 |     },
  95 |     {
  96 |       "cell_type": "code",
  97 |       "metadata": {
  98 |         "id": "bJGFIHvJxcfo",
  99 |         "colab_type": "code",
 100 |         "colab": {}
 101 |       },
 102 |       "source": [
 103 |         "auth.authenticate_user()\n",
 104 |         "gc = gspread.authorize(GoogleCredentials.get_application_default())"
 105 |       ],
 106 |       "execution_count": 0,
 107 |       "outputs": []
 108 |     },
 109 |     {
 110 |       "cell_type": "markdown",
 111 |       "metadata": {
 112 |         "id": "SBpuhBm9U8cg",
 113 |         "colab_type": "text"
 114 |       },
 115 |       "source": [
 116 |         ">Criando uma planilha vazia"
 117 |       ]
 118 |     },
 119 |     {
 120 |       "cell_type": "code",
 121 |       "metadata": {
 122 |         "id": "PpVsOifeBB0m",
 123 |         "colab_type": "code",
 124 |         "outputId": "ec175888-ae1c-4d87-acb3-813f6beab574",
 125 |         "colab": {
 126 |           "base_uri": "https://localhost:8080/",
 127 |           "height": 34
 128 |         }
 129 |       },
 130 |       "source": [
 131 |         "gc.create('Planilha01')"
 132 |       ],
 133 |       "execution_count": 0,
 134 |       "outputs": [
 135 |         {
 136 |           "output_type": "execute_result",
 137 |           "data": {
 138 |             "text/plain": [
 139 |               "<Spreadsheet 'Planilha01' id:19pRZ5GYD4cGGa-p2yoiuy05sKefT6w-XFUpi04jPlgE>"
 140 |             ]
 141 |           },
 142 |           "metadata": {
 143 |             "tags": []
 144 |           },
 145 |           "execution_count": 4
 146 |         }
 147 |       ]
 148 |     },
 149 |     {
 150 |       "cell_type": "markdown",
 151 |       "metadata": {
 152 |         "id": "PLGoqsjliO8P",
 153 |         "colab_type": "text"
 154 |       },
 155 |       "source": [
 156 |         ">Abrindo uma Planilha"
 157 |       ]
 158 |     },
 159 |     {
 160 |       "cell_type": "code",
 161 |       "metadata": {
 162 |         "id": "WCxNYLZCiPBv",
 163 |         "colab_type": "code",
 164 |         "colab": {}
 165 |       },
 166 |       "source": [
 167 |         "planilha = gc.open('Planilha01')"
 168 |       ],
 169 |       "execution_count": 0,
 170 |       "outputs": []
 171 |     },
 172 |     {
 173 |       "cell_type": "markdown",
 174 |       "metadata": {
 175 |         "id": "4qHcboXCVZ_j",
 176 |         "colab_type": "text"
 177 |       },
 178 |       "source": [
 179 |         ">Adicionando uma nova Página\n",
 180 |         "\n"
 181 |       ]
 182 |     },
 183 |     {
 184 |       "cell_type": "code",
 185 |       "metadata": {
 186 |         "id": "gSLxsA5sVfuR",
 187 |         "colab_type": "code",
 188 |         "outputId": "9fec4a45-58f6-4a39-be01-df732dead789",
 189 |         "colab": {
 190 |           "base_uri": "https://localhost:8080/",
 191 |           "height": 34
 192 |         }
 193 |       },
 194 |       "source": [
 195 |         "planilha.add_worksheet('nova_pagina', 10, 5)"
 196 |       ],
 197 |       "execution_count": 0,
 198 |       "outputs": [
 199 |         {
 200 |           "output_type": "execute_result",
 201 |           "data": {
 202 |             "text/plain": [
 203 |               "<Worksheet 'nova_pagina' id:40256675>"
 204 |             ]
 205 |           },
 206 |           "metadata": {
 207 |             "tags": []
 208 |           },
 209 |           "execution_count": 7
 210 |         }
 211 |       ]
 212 |     },
 213 |     {
 214 |       "cell_type": "markdown",
 215 |       "metadata": {
 216 |         "id": "UtRICcfNaMOq",
 217 |         "colab_type": "text"
 218 |       },
 219 |       "source": [
 220 |         ">Selecionando uma Página"
 221 |       ]
 222 |     },
 223 |     {
 224 |       "cell_type": "code",
 225 |       "metadata": {
 226 |         "id": "dGhngLzmhJO1",
 227 |         "colab_type": "code",
 228 |         "colab": {}
 229 |       },
 230 |       "source": [
 231 |         "pagina1 = planilha.get_worksheet(0)"
 232 |       ],
 233 |       "execution_count": 0,
 234 |       "outputs": []
 235 |     },
 236 |     {
 237 |       "cell_type": "markdown",
 238 |       "metadata": {
 239 |         "id": "hkWy8KOCi4py",
 240 |         "colab_type": "text"
 241 |       },
 242 |       "source": [
 243 |         ">Apagando uma Página"
 244 |       ]
 245 |     },
 246 |     {
 247 |       "cell_type": "code",
 248 |       "metadata": {
 249 |         "id": "6HvqjzJghZZH",
 250 |         "colab_type": "code",
 251 |         "outputId": "b118859d-0405-4385-973e-ff48182b7377",
 252 |         "colab": {
 253 |           "base_uri": "https://localhost:8080/",
 254 |           "height": 51
 255 |         }
 256 |       },
 257 |       "source": [
 258 |         "planilha.del_worksheet(pagina1)"
 259 |       ],
 260 |       "execution_count": 0,
 261 |       "outputs": [
 262 |         {
 263 |           "output_type": "execute_result",
 264 |           "data": {
 265 |             "text/plain": [
 266 |               "{'replies': [{}],\n",
 267 |               " 'spreadsheetId': '19pRZ5GYD4cGGa-p2yoiuy05sKefT6w-XFUpi04jPlgE'}"
 268 |             ]
 269 |           },
 270 |           "metadata": {
 271 |             "tags": []
 272 |           },
 273 |           "execution_count": 9
 274 |         }
 275 |       ]
 276 |     },
 277 |     {
 278 |       "cell_type": "markdown",
 279 |       "metadata": {
 280 |         "id": "4-B4RpqpaOu5",
 281 |         "colab_type": "text"
 282 |       },
 283 |       "source": [
 284 |         ">Alterando os valores das células"
 285 |       ]
 286 |     },
 287 |     {
 288 |       "cell_type": "markdown",
 289 |       "metadata": {
 290 |         "id": "TkU-D5Zhkle4",
 291 |         "colab_type": "text"
 292 |       },
 293 |       "source": [
 294 |         ">>1º passo: selecionar a página"
 295 |       ]
 296 |     },
 297 |     {
 298 |       "cell_type": "code",
 299 |       "metadata": {
 300 |         "id": "BMNOIhJKjIQL",
 301 |         "colab_type": "code",
 302 |         "colab": {}
 303 |       },
 304 |       "source": [
 305 |         "nova_pagina = planilha.get_worksheet(0)"
 306 |       ],
 307 |       "execution_count": 0,
 308 |       "outputs": []
 309 |     },
 310 |     {
 311 |       "cell_type": "markdown",
 312 |       "metadata": {
 313 |         "id": "Xx7MhtXaktQp",
 314 |         "colab_type": "text"
 315 |       },
 316 |       "source": [
 317 |         ">>`update_acell()`: pelo código da célula"
 318 |       ]
 319 |     },
 320 |     {
 321 |       "cell_type": "code",
 322 |       "metadata": {
 323 |         "id": "9w9LPmdRZtuQ",
 324 |         "colab_type": "code",
 325 |         "outputId": "60dc71a4-0f2a-4c78-c16d-a168e6436a1e",
 326 |         "colab": {
 327 |           "base_uri": "https://localhost:8080/",
 328 |           "height": 102
 329 |         }
 330 |       },
 331 |       "source": [
 332 |         "nova_pagina.update_acell('a1', 120)"
 333 |       ],
 334 |       "execution_count": 0,
 335 |       "outputs": [
 336 |         {
 337 |           "output_type": "execute_result",
 338 |           "data": {
 339 |             "text/plain": [
 340 |               "{'spreadsheetId': '19pRZ5GYD4cGGa-p2yoiuy05sKefT6w-XFUpi04jPlgE',\n",
 341 |               " 'updatedCells': 1,\n",
 342 |               " 'updatedColumns': 1,\n",
 343 |               " 'updatedRange': 'nova_pagina!A1',\n",
 344 |               " 'updatedRows': 1}"
 345 |             ]
 346 |           },
 347 |           "metadata": {
 348 |             "tags": []
 349 |           },
 350 |           "execution_count": 11
 351 |         }
 352 |       ]
 353 |     },
 354 |     {
 355 |       "cell_type": "markdown",
 356 |       "metadata": {
 357 |         "id": "Fr1mLethlDIF",
 358 |         "colab_type": "text"
 359 |       },
 360 |       "source": [
 361 |         ">>`update_cell`: pelos números da linha e coluna"
 362 |       ]
 363 |     },
 364 |     {
 365 |       "cell_type": "code",
 366 |       "metadata": {
 367 |         "id": "1eU9gm3qZtya",
 368 |         "colab_type": "code",
 369 |         "outputId": "c8872f71-dab5-4411-b07d-a9dbd03721e8",
 370 |         "colab": {
 371 |           "base_uri": "https://localhost:8080/",
 372 |           "height": 102
 373 |         }
 374 |       },
 375 |       "source": [
 376 |         "nova_pagina.update_cell(2,2, 'qualquer texto')"
 377 |       ],
 378 |       "execution_count": 0,
 379 |       "outputs": [
 380 |         {
 381 |           "output_type": "execute_result",
 382 |           "data": {
 383 |             "text/plain": [
 384 |               "{'spreadsheetId': '19pRZ5GYD4cGGa-p2yoiuy05sKefT6w-XFUpi04jPlgE',\n",
 385 |               " 'updatedCells': 1,\n",
 386 |               " 'updatedColumns': 1,\n",
 387 |               " 'updatedRange': 'nova_pagina!B2',\n",
 388 |               " 'updatedRows': 1}"
 389 |             ]
 390 |           },
 391 |           "metadata": {
 392 |             "tags": []
 393 |           },
 394 |           "execution_count": 12
 395 |         }
 396 |       ]
 397 |     },
 398 |     {
 399 |       "cell_type": "markdown",
 400 |       "metadata": {
 401 |         "id": "tldCxUqWlQBc",
 402 |         "colab_type": "text"
 403 |       },
 404 |       "source": [
 405 |         ">>`update_cells()`: por uma lista de valores"
 406 |       ]
 407 |     },
 408 |     {
 409 |       "cell_type": "code",
 410 |       "metadata": {
 411 |         "id": "ME3vC5O8bgR9",
 412 |         "colab_type": "code",
 413 |         "outputId": "2c0ca856-00d5-45d9-88cb-356166f8e6f6",
 414 |         "colab": {
 415 |           "base_uri": "https://localhost:8080/",
 416 |           "height": 85
 417 |         }
 418 |       },
 419 |       "source": [
 420 |         "lista_cel = nova_pagina.range('a1:b2')\n",
 421 |         "lista_cel"
 422 |       ],
 423 |       "execution_count": 0,
 424 |       "outputs": [
 425 |         {
 426 |           "output_type": "execute_result",
 427 |           "data": {
 428 |             "text/plain": [
 429 |               "[<Cell R1C1 '120'>,\n",
 430 |               " <Cell R1C2 ''>,\n",
 431 |               " <Cell R2C1 ''>,\n",
 432 |               " <Cell R2C2 'qualquer texto'>]"
 433 |             ]
 434 |           },
 435 |           "metadata": {
 436 |             "tags": []
 437 |           },
 438 |           "execution_count": 13
 439 |         }
 440 |       ]
 441 |     },
 442 |     {
 443 |       "cell_type": "code",
 444 |       "metadata": {
 445 |         "id": "fDF-oFOznejR",
 446 |         "colab_type": "code",
 447 |         "outputId": "e13d8237-f8c4-46dd-884f-532e0b79836d",
 448 |         "colab": {
 449 |           "base_uri": "https://localhost:8080/",
 450 |           "height": 34
 451 |         }
 452 |       },
 453 |       "source": [
 454 |         "valores = ['a','b','c','d']\n",
 455 |         "\n",
 456 |         "for i, valor in enumerate(valores):\n",
 457 |         "  lista_cel[i].value = valor\n",
 458 |         "\n",
 459 |         "lista_cel"
 460 |       ],
 461 |       "execution_count": 0,
 462 |       "outputs": [
 463 |         {
 464 |           "output_type": "execute_result",
 465 |           "data": {
 466 |             "text/plain": [
 467 |               "[<Cell R1C1 'a'>, <Cell R1C2 'b'>, <Cell R2C1 'c'>, <Cell R2C2 'd'>]"
 468 |             ]
 469 |           },
 470 |           "metadata": {
 471 |             "tags": []
 472 |           },
 473 |           "execution_count": 17
 474 |         }
 475 |       ]
 476 |     },
 477 |     {
 478 |       "cell_type": "code",
 479 |       "metadata": {
 480 |         "id": "litmy4_xnGKx",
 481 |         "colab_type": "code",
 482 |         "outputId": "3e8f646c-1194-40c8-8fcb-390818279f3b",
 483 |         "colab": {
 484 |           "base_uri": "https://localhost:8080/",
 485 |           "height": 102
 486 |         }
 487 |       },
 488 |       "source": [
 489 |         "nova_pagina.update_cells(lista_cel)"
 490 |       ],
 491 |       "execution_count": 0,
 492 |       "outputs": [
 493 |         {
 494 |           "output_type": "execute_result",
 495 |           "data": {
 496 |             "text/plain": [
 497 |               "{'spreadsheetId': '19pRZ5GYD4cGGa-p2yoiuy05sKefT6w-XFUpi04jPlgE',\n",
 498 |               " 'updatedCells': 4,\n",
 499 |               " 'updatedColumns': 2,\n",
 500 |               " 'updatedRange': 'nova_pagina!A1:B2',\n",
 501 |               " 'updatedRows': 2}"
 502 |             ]
 503 |           },
 504 |           "metadata": {
 505 |             "tags": []
 506 |           },
 507 |           "execution_count": 18
 508 |         }
 509 |       ]
 510 |     },
 511 |     {
 512 |       "cell_type": "code",
 513 |       "metadata": {
 514 |         "id": "_CqDZr8LAj-3",
 515 |         "colab_type": "code",
 516 |         "colab": {}
 517 |       },
 518 |       "source": [
 519 |         ""
 520 |       ],
 521 |       "execution_count": 0,
 522 |       "outputs": []
 523 |     },
 524 |     {
 525 |       "cell_type": "markdown",
 526 |       "metadata": {
 527 |         "id": "gcVRSFNPmnTB",
 528 |         "colab_type": "text"
 529 |       },
 530 |       "source": [
 531 |         "###Carteira de Ações"
 532 |       ]
 533 |     },
 534 |     {
 535 |       "cell_type": "code",
 536 |       "metadata": {
 537 |         "id": "X7uTTvK2ocva",
 538 |         "colab_type": "code",
 539 |         "colab": {}
 540 |       },
 541 |       "source": [
 542 |         "plan_carteira = gc.open('Carteira')"
 543 |       ],
 544 |       "execution_count": 0,
 545 |       "outputs": []
 546 |     },
 547 |     {
 548 |       "cell_type": "markdown",
 549 |       "metadata": {
 550 |         "id": "4qjPfpRDmyxv",
 551 |         "colab_type": "text"
 552 |       },
 553 |       "source": [
 554 |         ">Criando um DataFrame Pandas com uma planilha do Google Planilhas"
 555 |       ]
 556 |     },
 557 |     {
 558 |       "cell_type": "code",
 559 |       "metadata": {
 560 |         "id": "ooDFcrDbm2Dd",
 561 |         "colab_type": "code",
 562 |         "colab": {}
 563 |       },
 564 |       "source": [
 565 |         "import pandas as pd"
 566 |       ],
 567 |       "execution_count": 0,
 568 |       "outputs": []
 569 |     },
 570 |     {
 571 |       "cell_type": "code",
 572 |       "metadata": {
 573 |         "id": "h5nZXPFRnfzp",
 574 |         "colab_type": "code",
 575 |         "outputId": "edfb5d71-5265-44ff-f637-2908a1d7e13f",
 576 |         "colab": {
 577 |           "base_uri": "https://localhost:8080/",
 578 |           "height": 235
 579 |         }
 580 |       },
 581 |       "source": [
 582 |         "carteira = pd.DataFrame(plan_carteira.sheet1.get_all_records())\n",
 583 |         "carteira.set_index('Cod', inplace=True)\n",
 584 |         "\n",
 585 |         "carteira"
 586 |       ],
 587 |       "execution_count": 0,
 588 |       "outputs": [
 589 |         {
 590 |           "output_type": "execute_result",
 591 |           "data": {
 592 |             "text/html": [
 593 |               "<div>\n",
 594 |               "<style scoped>\n",
 595 |               "    .dataframe tbody tr th:only-of-type {\n",
 596 |               "        vertical-align: middle;\n",
 597 |               "    }\n",
 598 |               "\n",
 599 |               "    .dataframe tbody tr th {\n",
 600 |               "        vertical-align: top;\n",
 601 |               "    }\n",
 602 |               "\n",
 603 |               "    .dataframe thead th {\n",
 604 |               "        text-align: right;\n",
 605 |               "    }\n",
 606 |               "</style>\n",
 607 |               "<table border=\"1\" class=\"dataframe\">\n",
 608 |               "  <thead>\n",
 609 |               "    <tr style=\"text-align: right;\">\n",
 610 |               "      <th></th>\n",
 611 |               "      <th>Qte</th>\n",
 612 |               "      <th>Cotação</th>\n",
 613 |               "      <th>Entrada</th>\n",
 614 |               "      <th>Custo</th>\n",
 615 |               "      <th>No dia</th>\n",
 616 |               "      <th>Preço Atual</th>\n",
 617 |               "      <th>Lucro R$</th>\n",
 618 |               "      <th>Lucro %</th>\n",
 619 |               "    </tr>\n",
 620 |               "    <tr>\n",
 621 |               "      <th>Cod</th>\n",
 622 |               "      <th></th>\n",
 623 |               "      <th></th>\n",
 624 |               "      <th></th>\n",
 625 |               "      <th></th>\n",
 626 |               "      <th></th>\n",
 627 |               "      <th></th>\n",
 628 |               "      <th></th>\n",
 629 |               "      <th></th>\n",
 630 |               "    </tr>\n",
 631 |               "  </thead>\n",
 632 |               "  <tbody>\n",
 633 |               "    <tr>\n",
 634 |               "      <th>VALE3</th>\n",
 635 |               "      <td>200</td>\n",
 636 |               "      <td>44,86</td>\n",
 637 |               "      <td>54,33</td>\n",
 638 |               "      <td>10.866,00</td>\n",
 639 |               "      <td>-4,00%</td>\n",
 640 |               "      <td>8.972,00</td>\n",
 641 |               "      <td>-1.894,00</td>\n",
 642 |               "      <td>-17,43%</td>\n",
 643 |               "    </tr>\n",
 644 |               "    <tr>\n",
 645 |               "      <th>PETR4</th>\n",
 646 |               "      <td>400</td>\n",
 647 |               "      <td>18,05</td>\n",
 648 |               "      <td>19,17</td>\n",
 649 |               "      <td>7.668,00</td>\n",
 650 |               "      <td>-0,82%</td>\n",
 651 |               "      <td>7.220,00</td>\n",
 652 |               "      <td>-448,00</td>\n",
 653 |               "      <td>-5,84%</td>\n",
 654 |               "    </tr>\n",
 655 |               "    <tr>\n",
 656 |               "      <th>ITUB4</th>\n",
 657 |               "      <td>300</td>\n",
 658 |               "      <td>22,77</td>\n",
 659 |               "      <td>38,03</td>\n",
 660 |               "      <td>11.409,00</td>\n",
 661 |               "      <td>-3,76%</td>\n",
 662 |               "      <td>6.831,00</td>\n",
 663 |               "      <td>-4.578,00</td>\n",
 664 |               "      <td>-40,13%</td>\n",
 665 |               "    </tr>\n",
 666 |               "    <tr>\n",
 667 |               "      <th>TAEE11</th>\n",
 668 |               "      <td>300</td>\n",
 669 |               "      <td>27,50</td>\n",
 670 |               "      <td>30,84</td>\n",
 671 |               "      <td>9.252,00</td>\n",
 672 |               "      <td>-0,72%</td>\n",
 673 |               "      <td>8.250,00</td>\n",
 674 |               "      <td>-1.002,00</td>\n",
 675 |               "      <td>-10,83%</td>\n",
 676 |               "    </tr>\n",
 677 |               "    <tr>\n",
 678 |               "      <th>LREN3</th>\n",
 679 |               "      <td>200</td>\n",
 680 |               "      <td>38,39</td>\n",
 681 |               "      <td>57,50</td>\n",
 682 |               "      <td>11.500,00</td>\n",
 683 |               "      <td>-5,33%</td>\n",
 684 |               "      <td>7.678,00</td>\n",
 685 |               "      <td>-3.822,00</td>\n",
 686 |               "      <td>-33,23%</td>\n",
 687 |               "    </tr>\n",
 688 |               "  </tbody>\n",
 689 |               "</table>\n",
 690 |               "</div>"
 691 |             ],
 692 |             "text/plain": [
 693 |               "        Qte Cotação Entrada      Custo  No dia Preço Atual   Lucro R$  Lucro %\n",
 694 |               "Cod                                                                           \n",
 695 |               "VALE3   200   44,86   54,33  10.866,00  -4,00%    8.972,00  -1.894,00  -17,43%\n",
 696 |               "PETR4   400   18,05   19,17   7.668,00  -0,82%    7.220,00    -448,00   -5,84%\n",
 697 |               "ITUB4   300   22,77   38,03  11.409,00  -3,76%    6.831,00  -4.578,00  -40,13%\n",
 698 |               "TAEE11  300   27,50   30,84   9.252,00  -0,72%    8.250,00  -1.002,00  -10,83%\n",
 699 |               "LREN3   200   38,39   57,50  11.500,00  -5,33%    7.678,00  -3.822,00  -33,23%"
 700 |             ]
 701 |           },
 702 |           "metadata": {
 703 |             "tags": []
 704 |           },
 705 |           "execution_count": 24
 706 |         }
 707 |       ]
 708 |     },
 709 |     {
 710 |       "cell_type": "markdown",
 711 |       "metadata": {
 712 |         "id": "lcysVrODm3L1",
 713 |         "colab_type": "text"
 714 |       },
 715 |       "source": [
 716 |         "###Salvando cotações do Yahoo Finance"
 717 |       ]
 718 |     },
 719 |     {
 720 |       "cell_type": "markdown",
 721 |       "metadata": {
 722 |         "id": "PXXkHBJDnBn1",
 723 |         "colab_type": "text"
 724 |       },
 725 |       "source": [
 726 |         ">Adicionando uma página à planilha"
 727 |       ]
 728 |     },
 729 |     {
 730 |       "cell_type": "code",
 731 |       "metadata": {
 732 |         "id": "VOwbyK4EnK0R",
 733 |         "colab_type": "code",
 734 |         "outputId": "94e38a6c-e5e1-48ad-c31f-f316ae1c2814",
 735 |         "colab": {
 736 |           "base_uri": "https://localhost:8080/",
 737 |           "height": 34
 738 |         }
 739 |       },
 740 |       "source": [
 741 |         "plan_carteira.add_worksheet('Cotações Yahoo', 1500, 71)"
 742 |       ],
 743 |       "execution_count": 0,
 744 |       "outputs": [
 745 |         {
 746 |           "output_type": "execute_result",
 747 |           "data": {
 748 |             "text/plain": [
 749 |               "<Worksheet 'Cotações Yahoo' id:47103618>"
 750 |             ]
 751 |           },
 752 |           "metadata": {
 753 |             "tags": []
 754 |           },
 755 |           "execution_count": 25
 756 |         }
 757 |       ]
 758 |     },
 759 |     {
 760 |       "cell_type": "markdown",
 761 |       "metadata": {
 762 |         "id": "sv_-LjLynLqn",
 763 |         "colab_type": "text"
 764 |       },
 765 |       "source": [
 766 |         ">Instalando o YFinance"
 767 |       ]
 768 |     },
 769 |     {
 770 |       "cell_type": "code",
 771 |       "metadata": {
 772 |         "id": "Ma4LCm2cnRIk",
 773 |         "colab_type": "code",
 774 |         "colab": {}
 775 |       },
 776 |       "source": [
 777 |         "!pip install yfinance"
 778 |       ],
 779 |       "execution_count": 0,
 780 |       "outputs": []
 781 |     },
 782 |     {
 783 |       "cell_type": "code",
 784 |       "metadata": {
 785 |         "id": "YRs4eN89nlSc",
 786 |         "colab_type": "code",
 787 |         "colab": {}
 788 |       },
 789 |       "source": [
 790 |         "import yfinance as yf"
 791 |       ],
 792 |       "execution_count": 0,
 793 |       "outputs": []
 794 |     },
 795 |     {
 796 |       "cell_type": "code",
 797 |       "metadata": {
 798 |         "id": "syEMASfNnlZl",
 799 |         "colab_type": "code",
 800 |         "colab": {}
 801 |       },
 802 |       "source": [
 803 |         "tickers_ibov = \"ABEV3.SA AZUL4.SA B3SA3.SA BBAS3.SA BBDC4.SA BBSE3.SA BPAC11.SA BRAP4.SA BRDT3.SA BRFS3.SA BRKM5.SA BRML3.SA BTOW3.SA CCRO3.SA CIEL3.SA CMIG4.SA COGN3.SA CRFB3.SA CSAN3.SA CSNA3.SA CVCB3.SA CYRE3.SA ECOR3.SA EGIE3.SA ELET6.SA EMBR3.SA ENBR3.SA EQTL3.SA FLRY3.SA GGBR4.SA GNDI3.SA GOAU4.SA GOLL4.SA HAPV3.SA HGTX3.SA HYPE3.SA IGTA3.SA IRBR3.SA ITSA4.SA ITUB4.SA JBSS3.SA KLBN11.SA LAME4.SA LREN3.SA MGLU3.SA MRFG3.SA MRVE3.SA MULT3.SA NTCO3.SA PCAR4.SA PETR4.SA QUAL3.SA RADL3.SA RAIL3.SA RENT3.SA SANB11.SA SBSP3.SA SMLS3.SA SULA11.SA SUZB3.SA TAEE11.SA TIMP3.SA TOTS3.SA UGPA3.SA USIM5.SA VALE3.SA VIVT4.SA VVAR3.SA WEGE3.SA YDUQ3.SA\""
 804 |       ],
 805 |       "execution_count": 0,
 806 |       "outputs": []
 807 |     },
 808 |     {
 809 |       "cell_type": "code",
 810 |       "metadata": {
 811 |         "id": "7QI6aIV1nlfc",
 812 |         "colab_type": "code",
 813 |         "outputId": "463c0ad2-76ed-4fe4-aeaf-0e9cbd0187a9",
 814 |         "colab": {
 815 |           "base_uri": "https://localhost:8080/",
 816 |           "height": 34
 817 |         }
 818 |       },
 819 |       "source": [
 820 |         "dados_yf = yf.download(tickers=tickers_ibov, period='5y')[\"Adj Close\"]"
 821 |       ],
 822 |       "execution_count": 0,
 823 |       "outputs": [
 824 |         {
 825 |           "output_type": "stream",
 826 |           "text": [
 827 |             "[*********************100%***********************]  70 of 70 completed\n"
 828 |           ],
 829 |           "name": "stdout"
 830 |         }
 831 |       ]
 832 |     },
 833 |     {
 834 |       "cell_type": "markdown",
 835 |       "metadata": {
 836 |         "id": "XLHQlDRfnUXr",
 837 |         "colab_type": "text"
 838 |       },
 839 |       "source": [
 840 |         ">Selecionando a página criada"
 841 |       ]
 842 |     },
 843 |     {
 844 |       "cell_type": "code",
 845 |       "metadata": {
 846 |         "id": "hOLsAxLaDf9S",
 847 |         "colab_type": "code",
 848 |         "colab": {}
 849 |       },
 850 |       "source": [
 851 |         ""
 852 |       ],
 853 |       "execution_count": 0,
 854 |       "outputs": []
 855 |     },
 856 |     {
 857 |       "cell_type": "code",
 858 |       "metadata": {
 859 |         "id": "dANyQ2b1nU9F",
 860 |         "colab_type": "code",
 861 |         "colab": {}
 862 |       },
 863 |       "source": [
 864 |         "pagina_yahoo = plan_carteira.get_worksheet(1)"
 865 |       ],
 866 |       "execution_count": 0,
 867 |       "outputs": []
 868 |     },
 869 |     {
 870 |       "cell_type": "markdown",
 871 |       "metadata": {
 872 |         "id": "fHAEMXDrnYZY",
 873 |         "colab_type": "text"
 874 |       },
 875 |       "source": [
 876 |         ">Instalando a biblioteca `gspread-dataframe`"
 877 |       ]
 878 |     },
 879 |     {
 880 |       "cell_type": "code",
 881 |       "metadata": {
 882 |         "id": "ib8F1f_TnZEN",
 883 |         "colab_type": "code",
 884 |         "colab": {}
 885 |       },
 886 |       "source": [
 887 |         "!pip install gspread-dataframe"
 888 |       ],
 889 |       "execution_count": 0,
 890 |       "outputs": []
 891 |     },
 892 |     {
 893 |       "cell_type": "code",
 894 |       "metadata": {
 895 |         "id": "DV3en5p0n1QJ",
 896 |         "colab_type": "code",
 897 |         "colab": {}
 898 |       },
 899 |       "source": [
 900 |         "from gspread_dataframe import get_as_dataframe, set_with_dataframe"
 901 |       ],
 902 |       "execution_count": 0,
 903 |       "outputs": []
 904 |     },
 905 |     {
 906 |       "cell_type": "markdown",
 907 |       "metadata": {
 908 |         "id": "UJBePoaIn2lm",
 909 |         "colab_type": "text"
 910 |       },
 911 |       "source": [
 912 |         ">Preenchendo os dados na planilha"
 913 |       ]
 914 |     },
 915 |     {
 916 |       "cell_type": "code",
 917 |       "metadata": {
 918 |         "id": "-c0Uem6Tn4Ut",
 919 |         "colab_type": "code",
 920 |         "colab": {}
 921 |       },
 922 |       "source": [
 923 |         "set_with_dataframe(pagina_yahoo, dados_yf, include_index=True)"
 924 |       ],
 925 |       "execution_count": 0,
 926 |       "outputs": []
 927 |     },
 928 |     {
 929 |       "cell_type": "markdown",
 930 |       "metadata": {
 931 |         "id": "5FH62gxXoANy",
 932 |         "colab_type": "text"
 933 |       },
 934 |       "source": [
 935 |         "###Dados Fundamentalistas"
 936 |       ]
 937 |     },
 938 |     {
 939 |       "cell_type": "code",
 940 |       "metadata": {
 941 |         "id": "tfBjEIjsoD4F",
 942 |         "colab_type": "code",
 943 |         "outputId": "049e2e00-acbb-4231-b4c6-d918037a26dc",
 944 |         "colab": {
 945 |           "base_uri": "https://localhost:8080/",
 946 |           "height": 34
 947 |         }
 948 |       },
 949 |       "source": [
 950 |         "plan_carteira.add_worksheet('fundamentus', 500, 20)"
 951 |       ],
 952 |       "execution_count": 0,
 953 |       "outputs": [
 954 |         {
 955 |           "output_type": "execute_result",
 956 |           "data": {
 957 |             "text/plain": [
 958 |               "<Worksheet 'fundamentus' id:1378589449>"
 959 |             ]
 960 |           },
 961 |           "metadata": {
 962 |             "tags": []
 963 |           },
 964 |           "execution_count": 37
 965 |         }
 966 |       ]
 967 |     },
 968 |     {
 969 |       "cell_type": "code",
 970 |       "metadata": {
 971 |         "id": "yvElrUO8oFN5",
 972 |         "colab_type": "code",
 973 |         "colab": {}
 974 |       },
 975 |       "source": [
 976 |         "pagina_fundamentus = plan_carteira.get_worksheet(2)"
 977 |       ],
 978 |       "execution_count": 0,
 979 |       "outputs": []
 980 |     },
 981 |     {
 982 |       "cell_type": "code",
 983 |       "metadata": {
 984 |         "id": "mGc9yqFYoFT3",
 985 |         "colab_type": "code",
 986 |         "colab": {}
 987 |       },
 988 |       "source": [
 989 |         "url = 'https://www.fundamentus.com.br/resultado.php'"
 990 |       ],
 991 |       "execution_count": 0,
 992 |       "outputs": []
 993 |     },
 994 |     {
 995 |       "cell_type": "code",
 996 |       "metadata": {
 997 |         "id": "kYH4bxEeoFZp",
 998 |         "colab_type": "code",
 999 |         "colab": {}
1000 |       },
1001 |       "source": [
1002 |         "df = pd.read_html(url, decimal=',', thousands='.')[0]"
1003 |       ],
1004 |       "execution_count": 0,
1005 |       "outputs": []
1006 |     },
1007 |     {
1008 |       "cell_type": "code",
1009 |       "metadata": {
1010 |         "id": "lJylwqARoFfM",
1011 |         "colab_type": "code",
1012 |         "colab": {}
1013 |       },
1014 |       "source": [
1015 |         "set_with_dataframe(pagina_fundamentus, df)"
1016 |       ],
1017 |       "execution_count": 0,
1018 |       "outputs": []
1019 |     },
1020 |     {
1021 |       "cell_type": "code",
1022 |       "metadata": {
1023 |         "id": "uvKZ_il-vZF_",
1024 |         "colab_type": "code",
1025 |         "colab": {}
1026 |       },
1027 |       "source": [
1028 |         ""
1029 |       ],
1030 |       "execution_count": 0,
1031 |       "outputs": []
1032 |     }
1033 |   ]
1034 | }


--------------------------------------------------------------------------------
/17_CVM_Os_Melhores_e_os_Piores_Fundos_de_Investimento_de_2020.ipynb:
--------------------------------------------------------------------------------
   1 | {
   2 |   "nbformat": 4,
   3 |   "nbformat_minor": 0,
   4 |   "metadata": {
   5 |     "colab": {
   6 |       "name": "17 - CVM - Os Melhores e os Piores Fundos de Investimento de 2020.ipynb",
   7 |       "provenance": [],
   8 |       "authorship_tag": "ABX9TyO2X7tWi/1jIVRgLHu//asd",
   9 |       "include_colab_link": true
  10 |     },
  11 |     "kernelspec": {
  12 |       "name": "python3",
  13 |       "display_name": "Python 3"
  14 |     }
  15 |   },
  16 |   "cells": [
  17 |     {
  18 |       "cell_type": "markdown",
  19 |       "metadata": {
  20 |         "id": "view-in-github",
  21 |         "colab_type": "text"
  22 |       },
  23 |       "source": [
  24 |         "<a href=\"https://colab.research.google.com/github/ricospeloacaso/python_para_investimentos/blob/master/17_CVM_Os_Melhores_e_os_Piores_Fundos_de_Investimento_de_2020.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
  25 |       ]
  26 |     },
  27 |     {
  28 |       "cell_type": "markdown",
  29 |       "metadata": {
  30 |         "id": "Oz_2zb3QiAag",
  31 |         "colab_type": "text"
  32 |       },
  33 |       "source": [
  34 |         "*   Base de Dados: http://dados.cvm.gov.br/\n",
  35 |         "\n",
  36 |         "\n"
  37 |       ]
  38 |     },
  39 |     {
  40 |       "cell_type": "markdown",
  41 |       "metadata": {
  42 |         "id": "54Ldgp4FSzwk",
  43 |         "colab_type": "text"
  44 |       },
  45 |       "source": [
  46 |         "###Bibliotecas"
  47 |       ]
  48 |     },
  49 |     {
  50 |       "cell_type": "code",
  51 |       "metadata": {
  52 |         "id": "N999MJOc6JYg",
  53 |         "colab_type": "code",
  54 |         "colab": {}
  55 |       },
  56 |       "source": [
  57 |         "import pandas as pd\n",
  58 |         "from pandas.tseries.offsets import BDay\n",
  59 |         "from datetime import date\n",
  60 |         "pd.set_option(\"display.max_colwidth\", 150)"
  61 |       ],
  62 |       "execution_count": 0,
  63 |       "outputs": []
  64 |     },
  65 |     {
  66 |       "cell_type": "markdown",
  67 |       "metadata": {
  68 |         "id": "y2c696fB6keA",
  69 |         "colab_type": "text"
  70 |       },
  71 |       "source": [
  72 |         "###Funções para Coleta e Tratamento de dados de Fundos de Investimento fornecidos pela CVM"
  73 |       ]
  74 |     },
  75 |     {
  76 |       "cell_type": "code",
  77 |       "metadata": {
  78 |         "id": "I3XFMCp5rb6X",
  79 |         "colab_type": "code",
  80 |         "colab": {}
  81 |       },
  82 |       "source": [
  83 |         "def busca_cadastro_cvm(data=(date.today()-BDay(2))):\n",
  84 |         "  if data is not busca_cadastro_cvm.__defaults__[0]:\n",
  85 |         "    data = pd.to_datetime(data)\n",
  86 |         "  \n",
  87 |         "  try:\n",
  88 |         "    url = 'http://dados.cvm.gov.br/dados/FI/CAD/DADOS/inf_cadastral_fi_{}{:02d}{:02d}.csv'.format(data.year, data.month, data.day)\n",
  89 |         "    return pd.read_csv(url, sep=';', encoding='ISO-8859-1')\n",
  90 |         "\n",
  91 |         "  except: \n",
  92 |         "    print(\"Arquivo {} não encontrado!\".format(url))\n",
  93 |         "    print(\"Forneça outra data!\")"
  94 |       ],
  95 |       "execution_count": 0,
  96 |       "outputs": []
  97 |     },
  98 |     {
  99 |       "cell_type": "code",
 100 |       "metadata": {
 101 |         "id": "3TFPvD__6LaA",
 102 |         "colab_type": "code",
 103 |         "colab": {}
 104 |       },
 105 |       "source": [
 106 |         "def busca_informes_diarios_cvm_por_periodo(data_inicio, data_fim):\n",
 107 |         "  datas = pd.date_range(data_inicio, data_fim, freq='MS') \n",
 108 |         "  informe_completo = pd.DataFrame()\n",
 109 |         "\n",
 110 |         "  for data in datas:\n",
 111 |         "    try:\n",
 112 |         "      url ='http://dados.cvm.gov.br/dados/FI/DOC/INF_DIARIO/DADOS/inf_diario_fi_{}{:02d}.csv'.format(data.year, data.month)\n",
 113 |         "      informe_mensal = pd.read_csv(url, sep=';')    \n",
 114 |         "    \n",
 115 |         "    except: \n",
 116 |         "      print(\"Arquivo {} não encontrado!\".format(url))    \n",
 117 |         "\n",
 118 |         "    informe_completo = pd.concat([informe_completo, informe_mensal], ignore_index=True)\n",
 119 |         "\n",
 120 |         "  return informe_completo"
 121 |       ],
 122 |       "execution_count": 0,
 123 |       "outputs": []
 124 |     },
 125 |     {
 126 |       "cell_type": "code",
 127 |       "metadata": {
 128 |         "id": "iWLM-jriWVy_",
 129 |         "colab_type": "code",
 130 |         "colab": {}
 131 |       },
 132 |       "source": [
 133 |         "def melhores_e_piores(informes, cadastro, top=5, minimo_de_cotistas=100, classe=''):  \n",
 134 |         "  cadastro      = cadastro[cadastro['SIT'] == 'EM FUNCIONAMENTO NORMAL']\n",
 135 |         "  fundos        = informes[informes['NR_COTST'] >= minimo_de_cotistas]\n",
 136 |         "  cnpj_informes = fundos['CNPJ_FUNDO'].drop_duplicates()\n",
 137 |         "  \n",
 138 |         "  fundos = fundos.pivot(index='DT_COMPTC', columns='CNPJ_FUNDO')  \n",
 139 |         "  cotas_normalizadas = fundos['VL_QUOTA'] / fundos['VL_QUOTA'].iloc[0]\n",
 140 |         "  \n",
 141 |         "  if classe == 'multimercado':\n",
 142 |         "    cnpj_cadastro      = cadastro[cadastro['CLASSE'] == 'Fundo Multimercado']['CNPJ_FUNDO']   \n",
 143 |         "    cotas_normalizadas = cotas_normalizadas[cnpj_cadastro[cnpj_cadastro.isin(cnpj_informes)]]\n",
 144 |         "\n",
 145 |         "  if classe == 'acoes':\n",
 146 |         "    cnpj_cadastro      = cadastro[cadastro['CLASSE'] == 'Fundo de Ações']['CNPJ_FUNDO']   \n",
 147 |         "    cotas_normalizadas = cotas_normalizadas[cnpj_cadastro[cnpj_cadastro.isin(cnpj_informes)]]\n",
 148 |         "\n",
 149 |         "  if classe == 'rendafixa':\n",
 150 |         "    cnpj_cadastro      = cadastro[cadastro['CLASSE'] == 'Fundo de Renda Fixa']['CNPJ_FUNDO']   \n",
 151 |         "    cotas_normalizadas = cotas_normalizadas[cnpj_cadastro[cnpj_cadastro.isin(cnpj_informes)]]\n",
 152 |         "\n",
 153 |         "  if classe == 'cambial':\n",
 154 |         "    cnpj_cadastro      = cadastro[cadastro['CLASSE'] == 'Fundo Cambial']['CNPJ_FUNDO']   \n",
 155 |         "    cotas_normalizadas = cotas_normalizadas[cnpj_cadastro[cnpj_cadastro.isin(cnpj_informes)]]\n",
 156 |         "  \n",
 157 |         "  #melhores\n",
 158 |         "  melhores = pd.DataFrame()\n",
 159 |         "  melhores['retorno(%)'] = (cotas_normalizadas.iloc[-1].sort_values(ascending=False)[:top] - 1) * 100\n",
 160 |         "  for cnpj in melhores.index:\n",
 161 |         "    fundo = cadastro[cadastro['CNPJ_FUNDO'] == cnpj]\n",
 162 |         "    melhores.at[cnpj, 'Fundo de Investimento'] = fundo['DENOM_SOCIAL'].values[0]\n",
 163 |         "    melhores.at[cnpj, 'Classe']                = fundo['CLASSE'].values[0]\n",
 164 |         "    melhores.at[cnpj, 'PL']                    = fundo['VL_PATRIM_LIQ'].values[0]\n",
 165 |         "\n",
 166 |         "  #piores\n",
 167 |         "  piores = pd.DataFrame()\n",
 168 |         "  piores['retorno(%)'] = (cotas_normalizadas.iloc[-1].sort_values(ascending=True)[:top] - 1) * 100\n",
 169 |         "  for cnpj in piores.index:\n",
 170 |         "    fundo = cadastro[cadastro['CNPJ_FUNDO'] == cnpj]\n",
 171 |         "    piores.at[cnpj, 'Fundo de Investimento'] = fundo['DENOM_SOCIAL'].values[0]\n",
 172 |         "    piores.at[cnpj, 'Classe']                = fundo['CLASSE'].values[0]\n",
 173 |         "    piores.at[cnpj, 'PL']                    = fundo['VL_PATRIM_LIQ'].values[0]\n",
 174 |         "  \n",
 175 |         "  return melhores, piores"
 176 |       ],
 177 |       "execution_count": 0,
 178 |       "outputs": []
 179 |     },
 180 |     {
 181 |       "cell_type": "markdown",
 182 |       "metadata": {
 183 |         "id": "sB4ggm9IMq46",
 184 |         "colab_type": "text"
 185 |       },
 186 |       "source": [
 187 |         "###Buscando Dados da CVM"
 188 |       ]
 189 |     },
 190 |     {
 191 |       "cell_type": "code",
 192 |       "metadata": {
 193 |         "id": "VQB2ThWo9KC7",
 194 |         "colab_type": "code",
 195 |         "colab": {}
 196 |       },
 197 |       "source": [
 198 |         "cadastro = busca_cadastro_cvm()"
 199 |       ],
 200 |       "execution_count": 0,
 201 |       "outputs": []
 202 |     },
 203 |     {
 204 |       "cell_type": "code",
 205 |       "metadata": {
 206 |         "id": "o_xehpSWTi00",
 207 |         "colab_type": "code",
 208 |         "colab": {}
 209 |       },
 210 |       "source": [
 211 |         "informes = busca_informes_diarios_cvm_por_periodo(data_inicio='2020-01', data_fim='2020-05')"
 212 |       ],
 213 |       "execution_count": 0,
 214 |       "outputs": []
 215 |     },
 216 |     {
 217 |       "cell_type": "code",
 218 |       "metadata": {
 219 |         "id": "Q6U20LwsTSxt",
 220 |         "colab_type": "code",
 221 |         "colab": {}
 222 |       },
 223 |       "source": [
 224 |         "cadastro"
 225 |       ],
 226 |       "execution_count": 0,
 227 |       "outputs": []
 228 |     },
 229 |     {
 230 |       "cell_type": "code",
 231 |       "metadata": {
 232 |         "id": "3GGH5wegTS2w",
 233 |         "colab_type": "code",
 234 |         "colab": {}
 235 |       },
 236 |       "source": [
 237 |         "informes"
 238 |       ],
 239 |       "execution_count": 0,
 240 |       "outputs": []
 241 |     },
 242 |     {
 243 |       "cell_type": "markdown",
 244 |       "metadata": {
 245 |         "id": "v2P9YCzVRxg5",
 246 |         "colab_type": "text"
 247 |       },
 248 |       "source": [
 249 |         "###Fundos de Investimento: 10 Melhores e 10 Piores de 2020"
 250 |       ]
 251 |     },
 252 |     {
 253 |       "cell_type": "code",
 254 |       "metadata": {
 255 |         "id": "cPYAsuFhSQ5k",
 256 |         "colab_type": "code",
 257 |         "colab": {}
 258 |       },
 259 |       "source": [
 260 |         "melhores, piores = melhores_e_piores(informes, cadastro, top=10, minimo_de_cotistas=100)"
 261 |       ],
 262 |       "execution_count": 0,
 263 |       "outputs": []
 264 |     },
 265 |     {
 266 |       "cell_type": "code",
 267 |       "metadata": {
 268 |         "id": "RdMBVncVCjRu",
 269 |         "colab_type": "code",
 270 |         "outputId": "b9c47b22-5387-40c6-9235-9c15e9a23f28",
 271 |         "colab": {
 272 |           "base_uri": "https://localhost:8080/",
 273 |           "height": 559
 274 |         }
 275 |       },
 276 |       "source": [
 277 |         "melhores"
 278 |       ],
 279 |       "execution_count": 0,
 280 |       "outputs": [
 281 |         {
 282 |           "output_type": "execute_result",
 283 |           "data": {
 284 |             "text/html": [
 285 |               "<div>\n",
 286 |               "<style scoped>\n",
 287 |               "    .dataframe tbody tr th:only-of-type {\n",
 288 |               "        vertical-align: middle;\n",
 289 |               "    }\n",
 290 |               "\n",
 291 |               "    .dataframe tbody tr th {\n",
 292 |               "        vertical-align: top;\n",
 293 |               "    }\n",
 294 |               "\n",
 295 |               "    .dataframe thead th {\n",
 296 |               "        text-align: right;\n",
 297 |               "    }\n",
 298 |               "</style>\n",
 299 |               "<table border=\"1\" class=\"dataframe\">\n",
 300 |               "  <thead>\n",
 301 |               "    <tr style=\"text-align: right;\">\n",
 302 |               "      <th></th>\n",
 303 |               "      <th>retorno(%)</th>\n",
 304 |               "      <th>Fundo de Investimento</th>\n",
 305 |               "      <th>Classe</th>\n",
 306 |               "      <th>PL</th>\n",
 307 |               "    </tr>\n",
 308 |               "    <tr>\n",
 309 |               "      <th>CNPJ_FUNDO</th>\n",
 310 |               "      <th></th>\n",
 311 |               "      <th></th>\n",
 312 |               "      <th></th>\n",
 313 |               "      <th></th>\n",
 314 |               "    </tr>\n",
 315 |               "  </thead>\n",
 316 |               "  <tbody>\n",
 317 |               "    <tr>\n",
 318 |               "      <th>34.979.818/0001-10</th>\n",
 319 |               "      <td>59.694443</td>\n",
 320 |               "      <td>BTG PACTUAL OURO USD FUNDO DE INVESTIMENTO MULTIMERCADO</td>\n",
 321 |               "      <td>Fundo Multimercado</td>\n",
 322 |               "      <td>1.254679e+08</td>\n",
 323 |               "    </tr>\n",
 324 |               "    <tr>\n",
 325 |               "      <th>09.601.190/0001-77</th>\n",
 326 |               "      <td>53.340957</td>\n",
 327 |               "      <td>ÓRAMA OURO FUNDO DE INVESTIMENTO MULTIMERCADO</td>\n",
 328 |               "      <td>Fundo Multimercado</td>\n",
 329 |               "      <td>3.736876e+08</td>\n",
 330 |               "    </tr>\n",
 331 |               "    <tr>\n",
 332 |               "      <th>33.925.149/0001-30</th>\n",
 333 |               "      <td>52.668225</td>\n",
 334 |               "      <td>VITREO OURO FUNDO DE INVESTIMENTO EM COTAS DE FUNDO DE INVESTIMENTO MULTIMERCADO</td>\n",
 335 |               "      <td>Fundo Multimercado</td>\n",
 336 |               "      <td>2.462894e+08</td>\n",
 337 |               "    </tr>\n",
 338 |               "    <tr>\n",
 339 |               "      <th>24.454.718/0001-16</th>\n",
 340 |               "      <td>47.552244</td>\n",
 341 |               "      <td>DOLAR GLOBAL MACRO OPPORTUNITIES FUNDO DE INVESTIMENTO MULTIMERCADO INVESTIMENTO NO EXTERIOR</td>\n",
 342 |               "      <td>Fundo Multimercado</td>\n",
 343 |               "      <td>9.939867e+07</td>\n",
 344 |               "    </tr>\n",
 345 |               "    <tr>\n",
 346 |               "      <th>33.144.687/0001-98</th>\n",
 347 |               "      <td>43.460456</td>\n",
 348 |               "      <td>BTG PACTUAL DIGITAL DOLAR FUNDO DE INVESTIMENTO CAMBIAL</td>\n",
 349 |               "      <td>Fundo Cambial</td>\n",
 350 |               "      <td>1.838957e+08</td>\n",
 351 |               "    </tr>\n",
 352 |               "    <tr>\n",
 353 |               "      <th>01.623.535/0001-81</th>\n",
 354 |               "      <td>43.153661</td>\n",
 355 |               "      <td>ITAÚ CAMBIAL FUNDO DE INVESTIMENTO EM COTAS DE FUNDOS DE INVESTIMENTO</td>\n",
 356 |               "      <td>Fundo Cambial</td>\n",
 357 |               "      <td>1.076893e+09</td>\n",
 358 |               "    </tr>\n",
 359 |               "    <tr>\n",
 360 |               "      <th>28.516.058/0001-01</th>\n",
 361 |               "      <td>43.140339</td>\n",
 362 |               "      <td>BRADESCO FUNDO DE INVESTIMENTO EM COTAS DE FUNDOS DE INVESTIMENTO CAMBIAL ÁGORA</td>\n",
 363 |               "      <td>Fundo Cambial</td>\n",
 364 |               "      <td>1.655603e+07</td>\n",
 365 |               "    </tr>\n",
 366 |               "    <tr>\n",
 367 |               "      <th>31.132.386/0001-19</th>\n",
 368 |               "      <td>43.114212</td>\n",
 369 |               "      <td>TREND DOLAR FUNDO DE INVESTIMENTO CAMBIAL</td>\n",
 370 |               "      <td>Fundo Cambial</td>\n",
 371 |               "      <td>1.292850e+08</td>\n",
 372 |               "    </tr>\n",
 373 |               "    <tr>\n",
 374 |               "      <th>01.430.938/0001-04</th>\n",
 375 |               "      <td>43.096075</td>\n",
 376 |               "      <td>BTG PACTUAL DOLAR FUNDO DE INVESTIMENTO CAMBIAL</td>\n",
 377 |               "      <td>Fundo Cambial</td>\n",
 378 |               "      <td>1.790911e+08</td>\n",
 379 |               "    </tr>\n",
 380 |               "    <tr>\n",
 381 |               "      <th>02.294.024/0001-26</th>\n",
 382 |               "      <td>43.085551</td>\n",
 383 |               "      <td>BRADESCO H FUNDO DE INVESTIMENTO CAMBIAL LONGO PRAZO DÓLAR</td>\n",
 384 |               "      <td>Fundo Cambial</td>\n",
 385 |               "      <td>2.627622e+08</td>\n",
 386 |               "    </tr>\n",
 387 |               "  </tbody>\n",
 388 |               "</table>\n",
 389 |               "</div>"
 390 |             ],
 391 |             "text/plain": [
 392 |               "                    retorno(%)  ...            PL\n",
 393 |               "CNPJ_FUNDO                      ...              \n",
 394 |               "34.979.818/0001-10   59.694443  ...  1.254679e+08\n",
 395 |               "09.601.190/0001-77   53.340957  ...  3.736876e+08\n",
 396 |               "33.925.149/0001-30   52.668225  ...  2.462894e+08\n",
 397 |               "24.454.718/0001-16   47.552244  ...  9.939867e+07\n",
 398 |               "33.144.687/0001-98   43.460456  ...  1.838957e+08\n",
 399 |               "01.623.535/0001-81   43.153661  ...  1.076893e+09\n",
 400 |               "28.516.058/0001-01   43.140339  ...  1.655603e+07\n",
 401 |               "31.132.386/0001-19   43.114212  ...  1.292850e+08\n",
 402 |               "01.430.938/0001-04   43.096075  ...  1.790911e+08\n",
 403 |               "02.294.024/0001-26   43.085551  ...  2.627622e+08\n",
 404 |               "\n",
 405 |               "[10 rows x 4 columns]"
 406 |             ]
 407 |           },
 408 |           "metadata": {
 409 |             "tags": []
 410 |           },
 411 |           "execution_count": 11
 412 |         }
 413 |       ]
 414 |     },
 415 |     {
 416 |       "cell_type": "code",
 417 |       "metadata": {
 418 |         "id": "deEkkNNoNLG8",
 419 |         "colab_type": "code",
 420 |         "outputId": "586d3774-3eee-49f3-a7bf-7a5777351974",
 421 |         "colab": {
 422 |           "base_uri": "https://localhost:8080/",
 423 |           "height": 559
 424 |         }
 425 |       },
 426 |       "source": [
 427 |         "piores"
 428 |       ],
 429 |       "execution_count": 0,
 430 |       "outputs": [
 431 |         {
 432 |           "output_type": "execute_result",
 433 |           "data": {
 434 |             "text/html": [
 435 |               "<div>\n",
 436 |               "<style scoped>\n",
 437 |               "    .dataframe tbody tr th:only-of-type {\n",
 438 |               "        vertical-align: middle;\n",
 439 |               "    }\n",
 440 |               "\n",
 441 |               "    .dataframe tbody tr th {\n",
 442 |               "        vertical-align: top;\n",
 443 |               "    }\n",
 444 |               "\n",
 445 |               "    .dataframe thead th {\n",
 446 |               "        text-align: right;\n",
 447 |               "    }\n",
 448 |               "</style>\n",
 449 |               "<table border=\"1\" class=\"dataframe\">\n",
 450 |               "  <thead>\n",
 451 |               "    <tr style=\"text-align: right;\">\n",
 452 |               "      <th></th>\n",
 453 |               "      <th>retorno(%)</th>\n",
 454 |               "      <th>Fundo de Investimento</th>\n",
 455 |               "      <th>Classe</th>\n",
 456 |               "      <th>PL</th>\n",
 457 |               "    </tr>\n",
 458 |               "    <tr>\n",
 459 |               "      <th>CNPJ_FUNDO</th>\n",
 460 |               "      <th></th>\n",
 461 |               "      <th></th>\n",
 462 |               "      <th></th>\n",
 463 |               "      <th></th>\n",
 464 |               "    </tr>\n",
 465 |               "  </thead>\n",
 466 |               "  <tbody>\n",
 467 |               "    <tr>\n",
 468 |               "      <th>24.837.071/0001-01</th>\n",
 469 |               "      <td>-75.899511</td>\n",
 470 |               "      <td>WM DELTA CRÉDITO ESTRUTURADO FI EM COTAS DE FUNDOS DE INVESTIMENTO MULTIMERCADO - CRÉDITO PRIVADO</td>\n",
 471 |               "      <td>Fundo Multimercado</td>\n",
 472 |               "      <td>1.107619e+06</td>\n",
 473 |               "    </tr>\n",
 474 |               "    <tr>\n",
 475 |               "      <th>26.648.868/0001-96</th>\n",
 476 |               "      <td>-63.445553</td>\n",
 477 |               "      <td>ALASKA BLACK FUNDO DE INVESTIMENTO EM COTAS DE FUNDOS DE INVESTIMENTO EM AÇÕES II - BDR NÍVEL I</td>\n",
 478 |               "      <td>Fundo de Ações</td>\n",
 479 |               "      <td>3.411718e+08</td>\n",
 480 |               "    </tr>\n",
 481 |               "    <tr>\n",
 482 |               "      <th>12.987.743/0001-86</th>\n",
 483 |               "      <td>-63.377084</td>\n",
 484 |               "      <td>ALASKA BLACK FUNDO DE INVESTIMENTO EM COTAS DE FUNDOS DE INVESTIMENTO EM AÇÕES - BDR NÍVEL I</td>\n",
 485 |               "      <td>Fundo de Ações</td>\n",
 486 |               "      <td>1.371619e+09</td>\n",
 487 |               "    </tr>\n",
 488 |               "    <tr>\n",
 489 |               "      <th>31.936.857/0001-41</th>\n",
 490 |               "      <td>-62.783939</td>\n",
 491 |               "      <td>TREND IBOVESPA ALAVANCADO FUNDO DE INVESTIMENTO EM AÇÕES</td>\n",
 492 |               "      <td>Fundo de Ações</td>\n",
 493 |               "      <td>8.549544e+07</td>\n",
 494 |               "    </tr>\n",
 495 |               "    <tr>\n",
 496 |               "      <th>10.869.628/0001-81</th>\n",
 497 |               "      <td>-56.136318</td>\n",
 498 |               "      <td>BB AÇÕES CIELO FUNDO DE INVESTIMENTO</td>\n",
 499 |               "      <td>Fundo de Ações</td>\n",
 500 |               "      <td>1.815607e+07</td>\n",
 501 |               "    </tr>\n",
 502 |               "    <tr>\n",
 503 |               "      <th>10.590.125/0001-72</th>\n",
 504 |               "      <td>-55.825129</td>\n",
 505 |               "      <td>BRADESCO FUNDO DE INVESTIMENTO EM AÇÕES CIELO</td>\n",
 506 |               "      <td>Fundo de Ações</td>\n",
 507 |               "      <td>5.942560e+06</td>\n",
 508 |               "    </tr>\n",
 509 |               "    <tr>\n",
 510 |               "      <th>11.182.072/0001-13</th>\n",
 511 |               "      <td>-53.975565</td>\n",
 512 |               "      <td>LOGOS TOTAL RETURN FI EM COTAS DE FUNDOS DE INVESTIMENTO MULTIMERCADO</td>\n",
 513 |               "      <td>Fundo Multimercado</td>\n",
 514 |               "      <td>1.507532e+08</td>\n",
 515 |               "    </tr>\n",
 516 |               "    <tr>\n",
 517 |               "      <th>32.319.324/0001-83</th>\n",
 518 |               "      <td>-53.694348</td>\n",
 519 |               "      <td>TREND IBOVESPA DOLAR FUNDO DE INVESTIMENTO EM AÇÕES</td>\n",
 520 |               "      <td>Fundo de Ações</td>\n",
 521 |               "      <td>7.348693e+06</td>\n",
 522 |               "    </tr>\n",
 523 |               "    <tr>\n",
 524 |               "      <th>10.551.375/0001-01</th>\n",
 525 |               "      <td>-50.176998</td>\n",
 526 |               "      <td>FUNDO DE INVESTIMENTO EM AÇÕES CAIXA CONSTRUÇÃO CIVIL</td>\n",
 527 |               "      <td>Fundo de Ações</td>\n",
 528 |               "      <td>3.788286e+08</td>\n",
 529 |               "    </tr>\n",
 530 |               "    <tr>\n",
 531 |               "      <th>09.648.050/0001-54</th>\n",
 532 |               "      <td>-50.048546</td>\n",
 533 |               "      <td>BB AÇÕES CONSTRUÇÃO CIVIL FUNDO DE INVESTIMENTO EM COTAS DE FUNDOS DE INVESTIMENTO</td>\n",
 534 |               "      <td>Fundo de Ações</td>\n",
 535 |               "      <td>2.693042e+08</td>\n",
 536 |               "    </tr>\n",
 537 |               "  </tbody>\n",
 538 |               "</table>\n",
 539 |               "</div>"
 540 |             ],
 541 |             "text/plain": [
 542 |               "                    retorno(%)  ...            PL\n",
 543 |               "CNPJ_FUNDO                      ...              \n",
 544 |               "24.837.071/0001-01  -75.899511  ...  1.107619e+06\n",
 545 |               "26.648.868/0001-96  -63.445553  ...  3.411718e+08\n",
 546 |               "12.987.743/0001-86  -63.377084  ...  1.371619e+09\n",
 547 |               "31.936.857/0001-41  -62.783939  ...  8.549544e+07\n",
 548 |               "10.869.628/0001-81  -56.136318  ...  1.815607e+07\n",
 549 |               "10.590.125/0001-72  -55.825129  ...  5.942560e+06\n",
 550 |               "11.182.072/0001-13  -53.975565  ...  1.507532e+08\n",
 551 |               "32.319.324/0001-83  -53.694348  ...  7.348693e+06\n",
 552 |               "10.551.375/0001-01  -50.176998  ...  3.788286e+08\n",
 553 |               "09.648.050/0001-54  -50.048546  ...  2.693042e+08\n",
 554 |               "\n",
 555 |               "[10 rows x 4 columns]"
 556 |             ]
 557 |           },
 558 |           "metadata": {
 559 |             "tags": []
 560 |           },
 561 |           "execution_count": 12
 562 |         }
 563 |       ]
 564 |     },
 565 |     {
 566 |       "cell_type": "markdown",
 567 |       "metadata": {
 568 |         "id": "_9Nw8GGCNYNY",
 569 |         "colab_type": "text"
 570 |       },
 571 |       "source": [
 572 |         "###Fundos de Ações: 10 Melhores e 10 Piores de 2020"
 573 |       ]
 574 |     },
 575 |     {
 576 |       "cell_type": "code",
 577 |       "metadata": {
 578 |         "id": "snDDBkgnNd7T",
 579 |         "colab_type": "code",
 580 |         "colab": {}
 581 |       },
 582 |       "source": [
 583 |         "melhores, piores = melhores_e_piores(informes, cadastro, top=10, minimo_de_cotistas=100, classe='acoes')"
 584 |       ],
 585 |       "execution_count": 0,
 586 |       "outputs": []
 587 |     },
 588 |     {
 589 |       "cell_type": "code",
 590 |       "metadata": {
 591 |         "id": "FM1S1ri4NrVp",
 592 |         "colab_type": "code",
 593 |         "outputId": "9fcd55c3-db40-4d98-8390-554f416a90cf",
 594 |         "colab": {
 595 |           "base_uri": "https://localhost:8080/",
 596 |           "height": 559
 597 |         }
 598 |       },
 599 |       "source": [
 600 |         "melhores"
 601 |       ],
 602 |       "execution_count": 0,
 603 |       "outputs": [
 604 |         {
 605 |           "output_type": "execute_result",
 606 |           "data": {
 607 |             "text/html": [
 608 |               "<div>\n",
 609 |               "<style scoped>\n",
 610 |               "    .dataframe tbody tr th:only-of-type {\n",
 611 |               "        vertical-align: middle;\n",
 612 |               "    }\n",
 613 |               "\n",
 614 |               "    .dataframe tbody tr th {\n",
 615 |               "        vertical-align: top;\n",
 616 |               "    }\n",
 617 |               "\n",
 618 |               "    .dataframe thead th {\n",
 619 |               "        text-align: right;\n",
 620 |               "    }\n",
 621 |               "</style>\n",
 622 |               "<table border=\"1\" class=\"dataframe\">\n",
 623 |               "  <thead>\n",
 624 |               "    <tr style=\"text-align: right;\">\n",
 625 |               "      <th></th>\n",
 626 |               "      <th>retorno(%)</th>\n",
 627 |               "      <th>Fundo de Investimento</th>\n",
 628 |               "      <th>Classe</th>\n",
 629 |               "      <th>PL</th>\n",
 630 |               "    </tr>\n",
 631 |               "    <tr>\n",
 632 |               "      <th>CNPJ_FUNDO</th>\n",
 633 |               "      <th></th>\n",
 634 |               "      <th></th>\n",
 635 |               "      <th></th>\n",
 636 |               "      <th></th>\n",
 637 |               "    </tr>\n",
 638 |               "  </thead>\n",
 639 |               "  <tbody>\n",
 640 |               "    <tr>\n",
 641 |               "      <th>19.831.126/0001-36</th>\n",
 642 |               "      <td>35.628645</td>\n",
 643 |               "      <td>WESTERN ASSET FUNDO DE INVESTIMENTO AÇÕES BDR NÍVEL I</td>\n",
 644 |               "      <td>Fundo de Ações</td>\n",
 645 |               "      <td>6.145908e+08</td>\n",
 646 |               "    </tr>\n",
 647 |               "    <tr>\n",
 648 |               "      <th>22.632.237/0001-28</th>\n",
 649 |               "      <td>29.728232</td>\n",
 650 |               "      <td>BB AÇÕES GLOBAIS FUNDO DE INVESTIMENTO EM COTAS DE FUNDO DE INVESTIMENTO EM AÇÕES - BDR NÍVEL I</td>\n",
 651 |               "      <td>Fundo de Ações</td>\n",
 652 |               "      <td>2.461624e+08</td>\n",
 653 |               "    </tr>\n",
 654 |               "    <tr>\n",
 655 |               "      <th>17.503.172/0001-80</th>\n",
 656 |               "      <td>29.717323</td>\n",
 657 |               "      <td>FUNDO DE INVESTIMENTO EM AÇÕES CAIXA BDR NÍVEL I</td>\n",
 658 |               "      <td>Fundo de Ações</td>\n",
 659 |               "      <td>2.917604e+08</td>\n",
 660 |               "    </tr>\n",
 661 |               "    <tr>\n",
 662 |               "      <th>34.028.082/0001-02</th>\n",
 663 |               "      <td>28.894926</td>\n",
 664 |               "      <td>BRADESCO FUNDO DE INVESTIMENTO EM COTAS DE FUNDOS DE INVESTIMENTO EM AÇÕES BDR NÍVEL I PLUS</td>\n",
 665 |               "      <td>Fundo de Ações</td>\n",
 666 |               "      <td>5.168115e+07</td>\n",
 667 |               "    </tr>\n",
 668 |               "    <tr>\n",
 669 |               "      <th>13.401.224/0001-57</th>\n",
 670 |               "      <td>28.473023</td>\n",
 671 |               "      <td>BRADESCO FUNDO DE INVESTIMENTO EM COTAS DE FUNDOS DE INVESTIMENTO EM AÇÕES BDR NÍVEL I</td>\n",
 672 |               "      <td>Fundo de Ações</td>\n",
 673 |               "      <td>2.350280e+08</td>\n",
 674 |               "    </tr>\n",
 675 |               "    <tr>\n",
 676 |               "      <th>31.042.960/0001-48</th>\n",
 677 |               "      <td>27.784511</td>\n",
 678 |               "      <td>R8 BOLSA AMERICANA FUNDO DE INVESTIMENTO EM AÇÕES</td>\n",
 679 |               "      <td>Fundo de Ações</td>\n",
 680 |               "      <td>6.925156e+06</td>\n",
 681 |               "    </tr>\n",
 682 |               "    <tr>\n",
 683 |               "      <th>19.436.818/0001-80</th>\n",
 684 |               "      <td>24.349691</td>\n",
 685 |               "      <td>SAFRA CONSUMO AMERICANO FUNDO DE INVESTIMENTO EM AÇÕES BDR-NÍVEL I PB</td>\n",
 686 |               "      <td>Fundo de Ações</td>\n",
 687 |               "      <td>9.741794e+08</td>\n",
 688 |               "    </tr>\n",
 689 |               "    <tr>\n",
 690 |               "      <th>19.436.835/0001-17</th>\n",
 691 |               "      <td>23.891509</td>\n",
 692 |               "      <td>SAFRA CONSUMO AMERICANO FDO DE INVESTIMENTO EM COTAS DE FUNDOS DE INVESTIMENTO EM AÇÕES BDR-NÍVEL I</td>\n",
 693 |               "      <td>Fundo de Ações</td>\n",
 694 |               "      <td>6.677639e+08</td>\n",
 695 |               "    </tr>\n",
 696 |               "    <tr>\n",
 697 |               "      <th>21.347.643/0001-86</th>\n",
 698 |               "      <td>23.282277</td>\n",
 699 |               "      <td>BRADESCO FIC DE FUNDOS DE INVESTIMENTO EM AÇÕES GLOBAL INVESTIMENTO NO EXTERIOR</td>\n",
 700 |               "      <td>Fundo de Ações</td>\n",
 701 |               "      <td>5.159633e+07</td>\n",
 702 |               "    </tr>\n",
 703 |               "    <tr>\n",
 704 |               "      <th>20.147.389/0001-00</th>\n",
 705 |               "      <td>18.935361</td>\n",
 706 |               "      <td>ITAÚ AÇÕES BDR NÍVEL I FUNDO DE INVESTIMENTO EM COTAS DE FUNDOS DE INVESTIMENTO</td>\n",
 707 |               "      <td>Fundo de Ações</td>\n",
 708 |               "      <td>1.567433e+08</td>\n",
 709 |               "    </tr>\n",
 710 |               "  </tbody>\n",
 711 |               "</table>\n",
 712 |               "</div>"
 713 |             ],
 714 |             "text/plain": [
 715 |               "                    retorno(%)  ...            PL\n",
 716 |               "CNPJ_FUNDO                      ...              \n",
 717 |               "19.831.126/0001-36   35.628645  ...  6.145908e+08\n",
 718 |               "22.632.237/0001-28   29.728232  ...  2.461624e+08\n",
 719 |               "17.503.172/0001-80   29.717323  ...  2.917604e+08\n",
 720 |               "34.028.082/0001-02   28.894926  ...  5.168115e+07\n",
 721 |               "13.401.224/0001-57   28.473023  ...  2.350280e+08\n",
 722 |               "31.042.960/0001-48   27.784511  ...  6.925156e+06\n",
 723 |               "19.436.818/0001-80   24.349691  ...  9.741794e+08\n",
 724 |               "19.436.835/0001-17   23.891509  ...  6.677639e+08\n",
 725 |               "21.347.643/0001-86   23.282277  ...  5.159633e+07\n",
 726 |               "20.147.389/0001-00   18.935361  ...  1.567433e+08\n",
 727 |               "\n",
 728 |               "[10 rows x 4 columns]"
 729 |             ]
 730 |           },
 731 |           "metadata": {
 732 |             "tags": []
 733 |           },
 734 |           "execution_count": 14
 735 |         }
 736 |       ]
 737 |     },
 738 |     {
 739 |       "cell_type": "code",
 740 |       "metadata": {
 741 |         "id": "8K9UWp4INtAk",
 742 |         "colab_type": "code",
 743 |         "outputId": "04dcb9d7-aac7-462e-a784-625252283973",
 744 |         "colab": {
 745 |           "base_uri": "https://localhost:8080/",
 746 |           "height": 559
 747 |         }
 748 |       },
 749 |       "source": [
 750 |         "piores"
 751 |       ],
 752 |       "execution_count": 0,
 753 |       "outputs": [
 754 |         {
 755 |           "output_type": "execute_result",
 756 |           "data": {
 757 |             "text/html": [
 758 |               "<div>\n",
 759 |               "<style scoped>\n",
 760 |               "    .dataframe tbody tr th:only-of-type {\n",
 761 |               "        vertical-align: middle;\n",
 762 |               "    }\n",
 763 |               "\n",
 764 |               "    .dataframe tbody tr th {\n",
 765 |               "        vertical-align: top;\n",
 766 |               "    }\n",
 767 |               "\n",
 768 |               "    .dataframe thead th {\n",
 769 |               "        text-align: right;\n",
 770 |               "    }\n",
 771 |               "</style>\n",
 772 |               "<table border=\"1\" class=\"dataframe\">\n",
 773 |               "  <thead>\n",
 774 |               "    <tr style=\"text-align: right;\">\n",
 775 |               "      <th></th>\n",
 776 |               "      <th>retorno(%)</th>\n",
 777 |               "      <th>Fundo de Investimento</th>\n",
 778 |               "      <th>Classe</th>\n",
 779 |               "      <th>PL</th>\n",
 780 |               "    </tr>\n",
 781 |               "    <tr>\n",
 782 |               "      <th>CNPJ_FUNDO</th>\n",
 783 |               "      <th></th>\n",
 784 |               "      <th></th>\n",
 785 |               "      <th></th>\n",
 786 |               "      <th></th>\n",
 787 |               "    </tr>\n",
 788 |               "  </thead>\n",
 789 |               "  <tbody>\n",
 790 |               "    <tr>\n",
 791 |               "      <th>26.648.868/0001-96</th>\n",
 792 |               "      <td>-63.445553</td>\n",
 793 |               "      <td>ALASKA BLACK FUNDO DE INVESTIMENTO EM COTAS DE FUNDOS DE INVESTIMENTO EM AÇÕES II - BDR NÍVEL I</td>\n",
 794 |               "      <td>Fundo de Ações</td>\n",
 795 |               "      <td>3.411718e+08</td>\n",
 796 |               "    </tr>\n",
 797 |               "    <tr>\n",
 798 |               "      <th>12.987.743/0001-86</th>\n",
 799 |               "      <td>-63.377084</td>\n",
 800 |               "      <td>ALASKA BLACK FUNDO DE INVESTIMENTO EM COTAS DE FUNDOS DE INVESTIMENTO EM AÇÕES - BDR NÍVEL I</td>\n",
 801 |               "      <td>Fundo de Ações</td>\n",
 802 |               "      <td>1.371619e+09</td>\n",
 803 |               "    </tr>\n",
 804 |               "    <tr>\n",
 805 |               "      <th>31.936.857/0001-41</th>\n",
 806 |               "      <td>-62.783939</td>\n",
 807 |               "      <td>TREND IBOVESPA ALAVANCADO FUNDO DE INVESTIMENTO EM AÇÕES</td>\n",
 808 |               "      <td>Fundo de Ações</td>\n",
 809 |               "      <td>8.549544e+07</td>\n",
 810 |               "    </tr>\n",
 811 |               "    <tr>\n",
 812 |               "      <th>10.869.628/0001-81</th>\n",
 813 |               "      <td>-56.136318</td>\n",
 814 |               "      <td>BB AÇÕES CIELO FUNDO DE INVESTIMENTO</td>\n",
 815 |               "      <td>Fundo de Ações</td>\n",
 816 |               "      <td>1.815607e+07</td>\n",
 817 |               "    </tr>\n",
 818 |               "    <tr>\n",
 819 |               "      <th>10.590.125/0001-72</th>\n",
 820 |               "      <td>-55.825129</td>\n",
 821 |               "      <td>BRADESCO FUNDO DE INVESTIMENTO EM AÇÕES CIELO</td>\n",
 822 |               "      <td>Fundo de Ações</td>\n",
 823 |               "      <td>5.942560e+06</td>\n",
 824 |               "    </tr>\n",
 825 |               "    <tr>\n",
 826 |               "      <th>32.319.324/0001-83</th>\n",
 827 |               "      <td>-53.694348</td>\n",
 828 |               "      <td>TREND IBOVESPA DOLAR FUNDO DE INVESTIMENTO EM AÇÕES</td>\n",
 829 |               "      <td>Fundo de Ações</td>\n",
 830 |               "      <td>7.348693e+06</td>\n",
 831 |               "    </tr>\n",
 832 |               "    <tr>\n",
 833 |               "      <th>10.551.375/0001-01</th>\n",
 834 |               "      <td>-50.176998</td>\n",
 835 |               "      <td>FUNDO DE INVESTIMENTO EM AÇÕES CAIXA CONSTRUÇÃO CIVIL</td>\n",
 836 |               "      <td>Fundo de Ações</td>\n",
 837 |               "      <td>3.788286e+08</td>\n",
 838 |               "    </tr>\n",
 839 |               "    <tr>\n",
 840 |               "      <th>09.648.050/0001-54</th>\n",
 841 |               "      <td>-50.048546</td>\n",
 842 |               "      <td>BB AÇÕES CONSTRUÇÃO CIVIL FUNDO DE INVESTIMENTO EM COTAS DE FUNDOS DE INVESTIMENTO</td>\n",
 843 |               "      <td>Fundo de Ações</td>\n",
 844 |               "      <td>2.693042e+08</td>\n",
 845 |               "    </tr>\n",
 846 |               "    <tr>\n",
 847 |               "      <th>30.068.271/0001-40</th>\n",
 848 |               "      <td>-48.961611</td>\n",
 849 |               "      <td>CAIXA FUNDO DE INVESTIMENTO EM AÇÕES BANCO DO BRASIL PLUS</td>\n",
 850 |               "      <td>Fundo de Ações</td>\n",
 851 |               "      <td>1.018523e+08</td>\n",
 852 |               "    </tr>\n",
 853 |               "    <tr>\n",
 854 |               "      <th>09.134.614/0001-30</th>\n",
 855 |               "      <td>-48.853611</td>\n",
 856 |               "      <td>BB AÇÕES BB FUNDO DE INVESTIMENTO</td>\n",
 857 |               "      <td>Fundo de Ações</td>\n",
 858 |               "      <td>2.424070e+08</td>\n",
 859 |               "    </tr>\n",
 860 |               "  </tbody>\n",
 861 |               "</table>\n",
 862 |               "</div>"
 863 |             ],
 864 |             "text/plain": [
 865 |               "                    retorno(%)  ...            PL\n",
 866 |               "CNPJ_FUNDO                      ...              \n",
 867 |               "26.648.868/0001-96  -63.445553  ...  3.411718e+08\n",
 868 |               "12.987.743/0001-86  -63.377084  ...  1.371619e+09\n",
 869 |               "31.936.857/0001-41  -62.783939  ...  8.549544e+07\n",
 870 |               "10.869.628/0001-81  -56.136318  ...  1.815607e+07\n",
 871 |               "10.590.125/0001-72  -55.825129  ...  5.942560e+06\n",
 872 |               "32.319.324/0001-83  -53.694348  ...  7.348693e+06\n",
 873 |               "10.551.375/0001-01  -50.176998  ...  3.788286e+08\n",
 874 |               "09.648.050/0001-54  -50.048546  ...  2.693042e+08\n",
 875 |               "30.068.271/0001-40  -48.961611  ...  1.018523e+08\n",
 876 |               "09.134.614/0001-30  -48.853611  ...  2.424070e+08\n",
 877 |               "\n",
 878 |               "[10 rows x 4 columns]"
 879 |             ]
 880 |           },
 881 |           "metadata": {
 882 |             "tags": []
 883 |           },
 884 |           "execution_count": 15
 885 |         }
 886 |       ]
 887 |     },
 888 |     {
 889 |       "cell_type": "markdown",
 890 |       "metadata": {
 891 |         "id": "Q0MBC3WMOYrb",
 892 |         "colab_type": "text"
 893 |       },
 894 |       "source": [
 895 |         "###Fundos de Renda Fixa: 10 Melhores e 10 Piores de 2020"
 896 |       ]
 897 |     },
 898 |     {
 899 |       "cell_type": "code",
 900 |       "metadata": {
 901 |         "id": "A3ja6RWvObbz",
 902 |         "colab_type": "code",
 903 |         "colab": {}
 904 |       },
 905 |       "source": [
 906 |         "melhores, piores = melhores_e_piores(informes, cadastro, top=10, minimo_de_cotistas=100, classe='rendafixa')"
 907 |       ],
 908 |       "execution_count": 0,
 909 |       "outputs": []
 910 |     },
 911 |     {
 912 |       "cell_type": "code",
 913 |       "metadata": {
 914 |         "id": "NCDYTG2pOjjd",
 915 |         "colab_type": "code",
 916 |         "outputId": "4e39ea35-3327-43ac-fd73-35bae0693465",
 917 |         "colab": {
 918 |           "base_uri": "https://localhost:8080/",
 919 |           "height": 559
 920 |         }
 921 |       },
 922 |       "source": [
 923 |         "melhores"
 924 |       ],
 925 |       "execution_count": 0,
 926 |       "outputs": [
 927 |         {
 928 |           "output_type": "execute_result",
 929 |           "data": {
 930 |             "text/html": [
 931 |               "<div>\n",
 932 |               "<style scoped>\n",
 933 |               "    .dataframe tbody tr th:only-of-type {\n",
 934 |               "        vertical-align: middle;\n",
 935 |               "    }\n",
 936 |               "\n",
 937 |               "    .dataframe tbody tr th {\n",
 938 |               "        vertical-align: top;\n",
 939 |               "    }\n",
 940 |               "\n",
 941 |               "    .dataframe thead th {\n",
 942 |               "        text-align: right;\n",
 943 |               "    }\n",
 944 |               "</style>\n",
 945 |               "<table border=\"1\" class=\"dataframe\">\n",
 946 |               "  <thead>\n",
 947 |               "    <tr style=\"text-align: right;\">\n",
 948 |               "      <th></th>\n",
 949 |               "      <th>retorno(%)</th>\n",
 950 |               "      <th>Fundo de Investimento</th>\n",
 951 |               "      <th>Classe</th>\n",
 952 |               "      <th>PL</th>\n",
 953 |               "    </tr>\n",
 954 |               "    <tr>\n",
 955 |               "      <th>CNPJ_FUNDO</th>\n",
 956 |               "      <th></th>\n",
 957 |               "      <th></th>\n",
 958 |               "      <th></th>\n",
 959 |               "      <th></th>\n",
 960 |               "    </tr>\n",
 961 |               "  </thead>\n",
 962 |               "  <tbody>\n",
 963 |               "    <tr>\n",
 964 |               "      <th>30.606.402/0001-03</th>\n",
 965 |               "      <td>40.403400</td>\n",
 966 |               "      <td>BB RENDA FIXA LONGO PRAZO BONDS GLOBAIS FX PRIVATE CRÉDITO PRIVADO INVESTIMENTO NO EXTERIOR FIC FI</td>\n",
 967 |               "      <td>Fundo de Renda Fixa</td>\n",
 968 |               "      <td>4.874773e+07</td>\n",
 969 |               "    </tr>\n",
 970 |               "    <tr>\n",
 971 |               "      <th>00.360.293/0001-18</th>\n",
 972 |               "      <td>38.751225</td>\n",
 973 |               "      <td>BB RENDA FIXA DIVIDA EXTERNA MIL FUNDO INVESTIMENTO</td>\n",
 974 |               "      <td>Fundo de Renda Fixa</td>\n",
 975 |               "      <td>2.064182e+08</td>\n",
 976 |               "    </tr>\n",
 977 |               "    <tr>\n",
 978 |               "      <th>26.751.304/0001-84</th>\n",
 979 |               "      <td>34.871185</td>\n",
 980 |               "      <td>BB RENDA FIXA LP CRÉDITO PRIVADO FX BONDS BRASILEIROS INVESTIMENTO NO EXTERIOR PRIVATE FIC FI</td>\n",
 981 |               "      <td>Fundo de Renda Fixa</td>\n",
 982 |               "      <td>4.380533e+07</td>\n",
 983 |               "    </tr>\n",
 984 |               "    <tr>\n",
 985 |               "      <th>04.240.128/0001-83</th>\n",
 986 |               "      <td>10.592442</td>\n",
 987 |               "      <td>VOTORANTIM FUNDO DE INVESTIMENTO VINTAGE RENDA FIXA - CRÉDITO PRIVADO</td>\n",
 988 |               "      <td>Fundo de Renda Fixa</td>\n",
 989 |               "      <td>5.861819e+07</td>\n",
 990 |               "    </tr>\n",
 991 |               "    <tr>\n",
 992 |               "      <th>06.114.630/0001-73</th>\n",
 993 |               "      <td>9.191805</td>\n",
 994 |               "      <td>SANTOS IV LQ FUNDO DE INVESTIMENTO RENDA FIXA CRÉDITO PRIVADO</td>\n",
 995 |               "      <td>Fundo de Renda Fixa</td>\n",
 996 |               "      <td>1.668154e+06</td>\n",
 997 |               "    </tr>\n",
 998 |               "    <tr>\n",
 999 |               "      <th>04.570.232/0001-36</th>\n",
1000 |               "      <td>8.390369</td>\n",
1001 |               "      <td>MB MATIC RENDA FIXA LONGO PRAZO FUNDO DE INVESTIMENTO FINANCEIRO</td>\n",
1002 |               "      <td>Fundo de Renda Fixa</td>\n",
1003 |               "      <td>2.168682e+06</td>\n",
1004 |               "    </tr>\n",
1005 |               "    <tr>\n",
1006 |               "      <th>24.022.566/0001-82</th>\n",
1007 |               "      <td>5.216968</td>\n",
1008 |               "      <td>BRADESCO FUNDO DE INVESTIMENTO RENDA FIXA IDKA PRÉ 2</td>\n",
1009 |               "      <td>Fundo de Renda Fixa</td>\n",
1010 |               "      <td>9.060080e+08</td>\n",
1011 |               "    </tr>\n",
1012 |               "    <tr>\n",
1013 |               "      <th>26.344.495/0001-60</th>\n",
1014 |               "      <td>5.088517</td>\n",
1015 |               "      <td>ITAÚ PRIVATE RENDA FIXA PRÉ IDKA 3 FICFI</td>\n",
1016 |               "      <td>Fundo de Renda Fixa</td>\n",
1017 |               "      <td>1.350196e+08</td>\n",
1018 |               "    </tr>\n",
1019 |               "    <tr>\n",
1020 |               "      <th>29.197.055/0001-15</th>\n",
1021 |               "      <td>4.945899</td>\n",
1022 |               "      <td>ITAÚ LEGEND RENDA FIXA LONGO PRAZO FUNDO DE INVESTIMENTO EM COTAS DE FUNDOS DE INVESTIMENTO</td>\n",
1023 |               "      <td>Fundo de Renda Fixa</td>\n",
1024 |               "      <td>3.521745e+09</td>\n",
1025 |               "    </tr>\n",
1026 |               "    <tr>\n",
1027 |               "      <th>32.999.313/0001-91</th>\n",
1028 |               "      <td>4.303528</td>\n",
1029 |               "      <td>SAFRA PREFIXADO ALOCAÇÃO FUNDO DE INVESTIMENTO RENDA FIXA</td>\n",
1030 |               "      <td>Fundo de Renda Fixa</td>\n",
1031 |               "      <td>4.349905e+08</td>\n",
1032 |               "    </tr>\n",
1033 |               "  </tbody>\n",
1034 |               "</table>\n",
1035 |               "</div>"
1036 |             ],
1037 |             "text/plain": [
1038 |               "                    retorno(%)  ...            PL\n",
1039 |               "CNPJ_FUNDO                      ...              \n",
1040 |               "30.606.402/0001-03   40.403400  ...  4.874773e+07\n",
1041 |               "00.360.293/0001-18   38.751225  ...  2.064182e+08\n",
1042 |               "26.751.304/0001-84   34.871185  ...  4.380533e+07\n",
1043 |               "04.240.128/0001-83   10.592442  ...  5.861819e+07\n",
1044 |               "06.114.630/0001-73    9.191805  ...  1.668154e+06\n",
1045 |               "04.570.232/0001-36    8.390369  ...  2.168682e+06\n",
1046 |               "24.022.566/0001-82    5.216968  ...  9.060080e+08\n",
1047 |               "26.344.495/0001-60    5.088517  ...  1.350196e+08\n",
1048 |               "29.197.055/0001-15    4.945899  ...  3.521745e+09\n",
1049 |               "32.999.313/0001-91    4.303528  ...  4.349905e+08\n",
1050 |               "\n",
1051 |               "[10 rows x 4 columns]"
1052 |             ]
1053 |           },
1054 |           "metadata": {
1055 |             "tags": []
1056 |           },
1057 |           "execution_count": 17
1058 |         }
1059 |       ]
1060 |     },
1061 |     {
1062 |       "cell_type": "code",
1063 |       "metadata": {
1064 |         "id": "Z62oPUlpOmS7",
1065 |         "colab_type": "code",
1066 |         "outputId": "3a0f12ed-fb74-4722-ec61-d598be590048",
1067 |         "colab": {
1068 |           "base_uri": "https://localhost:8080/",
1069 |           "height": 559
1070 |         }
1071 |       },
1072 |       "source": [
1073 |         "piores"
1074 |       ],
1075 |       "execution_count": 0,
1076 |       "outputs": [
1077 |         {
1078 |           "output_type": "execute_result",
1079 |           "data": {
1080 |             "text/html": [
1081 |               "<div>\n",
1082 |               "<style scoped>\n",
1083 |               "    .dataframe tbody tr th:only-of-type {\n",
1084 |               "        vertical-align: middle;\n",
1085 |               "    }\n",
1086 |               "\n",
1087 |               "    .dataframe tbody tr th {\n",
1088 |               "        vertical-align: top;\n",
1089 |               "    }\n",
1090 |               "\n",
1091 |               "    .dataframe thead th {\n",
1092 |               "        text-align: right;\n",
1093 |               "    }\n",
1094 |               "</style>\n",
1095 |               "<table border=\"1\" class=\"dataframe\">\n",
1096 |               "  <thead>\n",
1097 |               "    <tr style=\"text-align: right;\">\n",
1098 |               "      <th></th>\n",
1099 |               "      <th>retorno(%)</th>\n",
1100 |               "      <th>Fundo de Investimento</th>\n",
1101 |               "      <th>Classe</th>\n",
1102 |               "      <th>PL</th>\n",
1103 |               "    </tr>\n",
1104 |               "    <tr>\n",
1105 |               "      <th>CNPJ_FUNDO</th>\n",
1106 |               "      <th></th>\n",
1107 |               "      <th></th>\n",
1108 |               "      <th></th>\n",
1109 |               "      <th></th>\n",
1110 |               "    </tr>\n",
1111 |               "  </thead>\n",
1112 |               "  <tbody>\n",
1113 |               "    <tr>\n",
1114 |               "      <th>01.671.480/0001-85</th>\n",
1115 |               "      <td>-26.927657</td>\n",
1116 |               "      <td>SANTOS VIRTUAL FUNDO DE INVESTIMENTO EM COTAS DE FUNDOS DE INVESTIMENTO RENDA FIXA CRÉDITO PRIVADO</td>\n",
1117 |               "      <td>Fundo de Renda Fixa</td>\n",
1118 |               "      <td>4.406207e+06</td>\n",
1119 |               "    </tr>\n",
1120 |               "    <tr>\n",
1121 |               "      <th>05.357.507/0001-10</th>\n",
1122 |               "      <td>-14.023970</td>\n",
1123 |               "      <td>BANESTES INSTITUCIONAL FUNDO DE INVESTIMENTO RENDA FIXA</td>\n",
1124 |               "      <td>Fundo de Renda Fixa</td>\n",
1125 |               "      <td>1.964791e+08</td>\n",
1126 |               "    </tr>\n",
1127 |               "    <tr>\n",
1128 |               "      <th>31.095.989/0001-98</th>\n",
1129 |               "      <td>-9.976724</td>\n",
1130 |               "      <td>ITAÚ RENDA FIXA JUROS REAIS B5+ FUNDO DE INVESTIMENTO EM COTAS DE FUNDOS DE INVESTIMENTO</td>\n",
1131 |               "      <td>Fundo de Renda Fixa</td>\n",
1132 |               "      <td>1.051130e+09</td>\n",
1133 |               "    </tr>\n",
1134 |               "    <tr>\n",
1135 |               "      <th>07.400.556/0001-14</th>\n",
1136 |               "      <td>-9.927680</td>\n",
1137 |               "      <td>ICATU VANGUARDA FUNDO DE INVESTIMENTO EM COTAS DE FUNDOS DE INVESTIMENTO INFLAÇÃO LONGA RF LP</td>\n",
1138 |               "      <td>Fundo de Renda Fixa</td>\n",
1139 |               "      <td>4.047801e+08</td>\n",
1140 |               "    </tr>\n",
1141 |               "    <tr>\n",
1142 |               "      <th>27.884.230/0001-17</th>\n",
1143 |               "      <td>-9.795351</td>\n",
1144 |               "      <td>ITAÚ PRIVATE RENDA FIXA IMA-B 5+ FUNDO DE INVESTIMENTO EM COTAS DE FUNDOS DE INVESTIMENTO</td>\n",
1145 |               "      <td>Fundo de Renda Fixa</td>\n",
1146 |               "      <td>1.636591e+08</td>\n",
1147 |               "    </tr>\n",
1148 |               "    <tr>\n",
1149 |               "      <th>10.577.503/0001-88</th>\n",
1150 |               "      <td>-9.746506</td>\n",
1151 |               "      <td>FUNDO DE INVESTIMENTO CAIXA BRASIL IMA B 5+ TITULOS PÚBLICOS RENDA FIXA LONGO PRAZO</td>\n",
1152 |               "      <td>Fundo de Renda Fixa</td>\n",
1153 |               "      <td>1.935722e+09</td>\n",
1154 |               "    </tr>\n",
1155 |               "    <tr>\n",
1156 |               "      <th>20.374.752/0001-20</th>\n",
1157 |               "      <td>-9.687322</td>\n",
1158 |               "      <td>BTG PACTUAL TESOURO IPCA LONGO FUNDO DE INVESTIMENTO RENDA FIXA REFERENCIADO</td>\n",
1159 |               "      <td>Fundo de Renda Fixa</td>\n",
1160 |               "      <td>2.506169e+08</td>\n",
1161 |               "    </tr>\n",
1162 |               "    <tr>\n",
1163 |               "      <th>13.327.340/0001-73</th>\n",
1164 |               "      <td>-9.677096</td>\n",
1165 |               "      <td>BB PREVIDENCIÁRIO RENDA FIXA IMA-B5+ TÍTULOS PÚBLICOS FUNDO DE INVESTIMENTO</td>\n",
1166 |               "      <td>Fundo de Renda Fixa</td>\n",
1167 |               "      <td>1.957720e+09</td>\n",
1168 |               "    </tr>\n",
1169 |               "    <tr>\n",
1170 |               "      <th>10.264.241/0001-00</th>\n",
1171 |               "      <td>-9.673596</td>\n",
1172 |               "      <td>ITAÚ FLEXPREV VÉRTICE IMAB5 MAIS RENDA FIXA - FUNDO DE INVESTIMENTO</td>\n",
1173 |               "      <td>Fundo de Renda Fixa</td>\n",
1174 |               "      <td>3.541743e+09</td>\n",
1175 |               "    </tr>\n",
1176 |               "    <tr>\n",
1177 |               "      <th>05.786.931/0001-80</th>\n",
1178 |               "      <td>-9.595654</td>\n",
1179 |               "      <td>BRASILPREV TOP ATUARIAL FUNDO DE INVESTIMENTO RENDA FIXA</td>\n",
1180 |               "      <td>Fundo de Renda Fixa</td>\n",
1181 |               "      <td>1.492464e+10</td>\n",
1182 |               "    </tr>\n",
1183 |               "  </tbody>\n",
1184 |               "</table>\n",
1185 |               "</div>"
1186 |             ],
1187 |             "text/plain": [
1188 |               "                    retorno(%)  ...            PL\n",
1189 |               "CNPJ_FUNDO                      ...              \n",
1190 |               "01.671.480/0001-85  -26.927657  ...  4.406207e+06\n",
1191 |               "05.357.507/0001-10  -14.023970  ...  1.964791e+08\n",
1192 |               "31.095.989/0001-98   -9.976724  ...  1.051130e+09\n",
1193 |               "07.400.556/0001-14   -9.927680  ...  4.047801e+08\n",
1194 |               "27.884.230/0001-17   -9.795351  ...  1.636591e+08\n",
1195 |               "10.577.503/0001-88   -9.746506  ...  1.935722e+09\n",
1196 |               "20.374.752/0001-20   -9.687322  ...  2.506169e+08\n",
1197 |               "13.327.340/0001-73   -9.677096  ...  1.957720e+09\n",
1198 |               "10.264.241/0001-00   -9.673596  ...  3.541743e+09\n",
1199 |               "05.786.931/0001-80   -9.595654  ...  1.492464e+10\n",
1200 |               "\n",
1201 |               "[10 rows x 4 columns]"
1202 |             ]
1203 |           },
1204 |           "metadata": {
1205 |             "tags": []
1206 |           },
1207 |           "execution_count": 18
1208 |         }
1209 |       ]
1210 |     },
1211 |     {
1212 |       "cell_type": "markdown",
1213 |       "metadata": {
1214 |         "id": "4JOsCOMfO8NA",
1215 |         "colab_type": "text"
1216 |       },
1217 |       "source": [
1218 |         "###Fundos Cambiais: 10 Melhores de 10 Piores de 2020"
1219 |       ]
1220 |     },
1221 |     {
1222 |       "cell_type": "code",
1223 |       "metadata": {
1224 |         "id": "dxTopZghPByN",
1225 |         "colab_type": "code",
1226 |         "colab": {}
1227 |       },
1228 |       "source": [
1229 |         "melhores, piores = melhores_e_piores(informes, cadastro, top=10, minimo_de_cotistas=100, classe='cambial')"
1230 |       ],
1231 |       "execution_count": 0,
1232 |       "outputs": []
1233 |     },
1234 |     {
1235 |       "cell_type": "code",
1236 |       "metadata": {
1237 |         "id": "xD8_vsrYPETy",
1238 |         "colab_type": "code",
1239 |         "outputId": "07545b5b-2aef-4f9c-cb4a-0265994f2e43",
1240 |         "colab": {
1241 |           "base_uri": "https://localhost:8080/",
1242 |           "height": 559
1243 |         }
1244 |       },
1245 |       "source": [
1246 |         "melhores"
1247 |       ],
1248 |       "execution_count": 0,
1249 |       "outputs": [
1250 |         {
1251 |           "output_type": "execute_result",
1252 |           "data": {
1253 |             "text/html": [
1254 |               "<div>\n",
1255 |               "<style scoped>\n",
1256 |               "    .dataframe tbody tr th:only-of-type {\n",
1257 |               "        vertical-align: middle;\n",
1258 |               "    }\n",
1259 |               "\n",
1260 |               "    .dataframe tbody tr th {\n",
1261 |               "        vertical-align: top;\n",
1262 |               "    }\n",
1263 |               "\n",
1264 |               "    .dataframe thead th {\n",
1265 |               "        text-align: right;\n",
1266 |               "    }\n",
1267 |               "</style>\n",
1268 |               "<table border=\"1\" class=\"dataframe\">\n",
1269 |               "  <thead>\n",
1270 |               "    <tr style=\"text-align: right;\">\n",
1271 |               "      <th></th>\n",
1272 |               "      <th>retorno(%)</th>\n",
1273 |               "      <th>Fundo de Investimento</th>\n",
1274 |               "      <th>Classe</th>\n",
1275 |               "      <th>PL</th>\n",
1276 |               "    </tr>\n",
1277 |               "    <tr>\n",
1278 |               "      <th>CNPJ_FUNDO</th>\n",
1279 |               "      <th></th>\n",
1280 |               "      <th></th>\n",
1281 |               "      <th></th>\n",
1282 |               "      <th></th>\n",
1283 |               "    </tr>\n",
1284 |               "  </thead>\n",
1285 |               "  <tbody>\n",
1286 |               "    <tr>\n",
1287 |               "      <th>33.144.687/0001-98</th>\n",
1288 |               "      <td>43.460456</td>\n",
1289 |               "      <td>BTG PACTUAL DIGITAL DOLAR FUNDO DE INVESTIMENTO CAMBIAL</td>\n",
1290 |               "      <td>Fundo Cambial</td>\n",
1291 |               "      <td>1.838957e+08</td>\n",
1292 |               "    </tr>\n",
1293 |               "    <tr>\n",
1294 |               "      <th>01.623.535/0001-81</th>\n",
1295 |               "      <td>43.153661</td>\n",
1296 |               "      <td>ITAÚ CAMBIAL FUNDO DE INVESTIMENTO EM COTAS DE FUNDOS DE INVESTIMENTO</td>\n",
1297 |               "      <td>Fundo Cambial</td>\n",
1298 |               "      <td>1.076893e+09</td>\n",
1299 |               "    </tr>\n",
1300 |               "    <tr>\n",
1301 |               "      <th>28.516.058/0001-01</th>\n",
1302 |               "      <td>43.140339</td>\n",
1303 |               "      <td>BRADESCO FUNDO DE INVESTIMENTO EM COTAS DE FUNDOS DE INVESTIMENTO CAMBIAL ÁGORA</td>\n",
1304 |               "      <td>Fundo Cambial</td>\n",
1305 |               "      <td>1.655603e+07</td>\n",
1306 |               "    </tr>\n",
1307 |               "    <tr>\n",
1308 |               "      <th>31.132.386/0001-19</th>\n",
1309 |               "      <td>43.114212</td>\n",
1310 |               "      <td>TREND DOLAR FUNDO DE INVESTIMENTO CAMBIAL</td>\n",
1311 |               "      <td>Fundo Cambial</td>\n",
1312 |               "      <td>1.292850e+08</td>\n",
1313 |               "    </tr>\n",
1314 |               "    <tr>\n",
1315 |               "      <th>01.430.938/0001-04</th>\n",
1316 |               "      <td>43.096075</td>\n",
1317 |               "      <td>BTG PACTUAL DOLAR FUNDO DE INVESTIMENTO CAMBIAL</td>\n",
1318 |               "      <td>Fundo Cambial</td>\n",
1319 |               "      <td>1.790911e+08</td>\n",
1320 |               "    </tr>\n",
1321 |               "    <tr>\n",
1322 |               "      <th>02.294.024/0001-26</th>\n",
1323 |               "      <td>43.085551</td>\n",
1324 |               "      <td>BRADESCO H FUNDO DE INVESTIMENTO CAMBIAL LONGO PRAZO DÓLAR</td>\n",
1325 |               "      <td>Fundo Cambial</td>\n",
1326 |               "      <td>2.627622e+08</td>\n",
1327 |               "    </tr>\n",
1328 |               "    <tr>\n",
1329 |               "      <th>04.244.149/0001-77</th>\n",
1330 |               "      <td>42.961802</td>\n",
1331 |               "      <td>BRADESCO FUNDO DE INVESTIMENTO EM COTAS DE FUNDOS DE INVESTIMENTO CAMBIAL DÓLAR SPECIAL</td>\n",
1332 |               "      <td>Fundo Cambial</td>\n",
1333 |               "      <td>9.366153e+07</td>\n",
1334 |               "    </tr>\n",
1335 |               "    <tr>\n",
1336 |               "      <th>23.731.760/0001-74</th>\n",
1337 |               "      <td>42.924450</td>\n",
1338 |               "      <td>ITAÚ PERSONNALITÉ CAMBIAL DÓLAR PLUS FUNDO DE INVESTIMENTO EM COTAS DE FUNDOS DE INVESTIMENTO</td>\n",
1339 |               "      <td>Fundo Cambial</td>\n",
1340 |               "      <td>1.196935e+08</td>\n",
1341 |               "    </tr>\n",
1342 |               "    <tr>\n",
1343 |               "      <th>05.114.733/0001-70</th>\n",
1344 |               "      <td>42.771349</td>\n",
1345 |               "      <td>FUNDO DE INVESTIMENTO EM COTAS DE FUNDOS DE INVESTIMENTO CAIXA CAMBIAL DÓLAR</td>\n",
1346 |               "      <td>Fundo Cambial</td>\n",
1347 |               "      <td>1.310395e+08</td>\n",
1348 |               "    </tr>\n",
1349 |               "    <tr>\n",
1350 |               "      <th>05.222.509/0001-00</th>\n",
1351 |               "      <td>42.731874</td>\n",
1352 |               "      <td>BRADESCO PRIME FUNDO DE INVESTIMENTO EM COTAS DE FUNDOS DE INVESTIMENTO CAMBIAL DÓLAR</td>\n",
1353 |               "      <td>Fundo Cambial</td>\n",
1354 |               "      <td>5.816367e+07</td>\n",
1355 |               "    </tr>\n",
1356 |               "  </tbody>\n",
1357 |               "</table>\n",
1358 |               "</div>"
1359 |             ],
1360 |             "text/plain": [
1361 |               "                    retorno(%)  ...            PL\n",
1362 |               "CNPJ_FUNDO                      ...              \n",
1363 |               "33.144.687/0001-98   43.460456  ...  1.838957e+08\n",
1364 |               "01.623.535/0001-81   43.153661  ...  1.076893e+09\n",
1365 |               "28.516.058/0001-01   43.140339  ...  1.655603e+07\n",
1366 |               "31.132.386/0001-19   43.114212  ...  1.292850e+08\n",
1367 |               "01.430.938/0001-04   43.096075  ...  1.790911e+08\n",
1368 |               "02.294.024/0001-26   43.085551  ...  2.627622e+08\n",
1369 |               "04.244.149/0001-77   42.961802  ...  9.366153e+07\n",
1370 |               "23.731.760/0001-74   42.924450  ...  1.196935e+08\n",
1371 |               "05.114.733/0001-70   42.771349  ...  1.310395e+08\n",
1372 |               "05.222.509/0001-00   42.731874  ...  5.816367e+07\n",
1373 |               "\n",
1374 |               "[10 rows x 4 columns]"
1375 |             ]
1376 |           },
1377 |           "metadata": {
1378 |             "tags": []
1379 |           },
1380 |           "execution_count": 20
1381 |         }
1382 |       ]
1383 |     },
1384 |     {
1385 |       "cell_type": "code",
1386 |       "metadata": {
1387 |         "id": "QmOI62qTPFg9",
1388 |         "colab_type": "code",
1389 |         "outputId": "31e09af4-b78f-47b7-8435-6cfd6495b840",
1390 |         "colab": {
1391 |           "base_uri": "https://localhost:8080/",
1392 |           "height": 559
1393 |         }
1394 |       },
1395 |       "source": [
1396 |         "piores"
1397 |       ],
1398 |       "execution_count": 0,
1399 |       "outputs": [
1400 |         {
1401 |           "output_type": "execute_result",
1402 |           "data": {
1403 |             "text/html": [
1404 |               "<div>\n",
1405 |               "<style scoped>\n",
1406 |               "    .dataframe tbody tr th:only-of-type {\n",
1407 |               "        vertical-align: middle;\n",
1408 |               "    }\n",
1409 |               "\n",
1410 |               "    .dataframe tbody tr th {\n",
1411 |               "        vertical-align: top;\n",
1412 |               "    }\n",
1413 |               "\n",
1414 |               "    .dataframe thead th {\n",
1415 |               "        text-align: right;\n",
1416 |               "    }\n",
1417 |               "</style>\n",
1418 |               "<table border=\"1\" class=\"dataframe\">\n",
1419 |               "  <thead>\n",
1420 |               "    <tr style=\"text-align: right;\">\n",
1421 |               "      <th></th>\n",
1422 |               "      <th>retorno(%)</th>\n",
1423 |               "      <th>Fundo de Investimento</th>\n",
1424 |               "      <th>Classe</th>\n",
1425 |               "      <th>PL</th>\n",
1426 |               "    </tr>\n",
1427 |               "    <tr>\n",
1428 |               "      <th>CNPJ_FUNDO</th>\n",
1429 |               "      <th></th>\n",
1430 |               "      <th></th>\n",
1431 |               "      <th></th>\n",
1432 |               "      <th></th>\n",
1433 |               "    </tr>\n",
1434 |               "  </thead>\n",
1435 |               "  <tbody>\n",
1436 |               "    <tr>\n",
1437 |               "      <th>32.246.789/0001-51</th>\n",
1438 |               "      <td>-29.891478</td>\n",
1439 |               "      <td>TREND SHORT DOLAR FUNDO DE INVESTIMENTO CAMBIAL</td>\n",
1440 |               "      <td>Fundo Cambial</td>\n",
1441 |               "      <td>6.095320e+06</td>\n",
1442 |               "    </tr>\n",
1443 |               "    <tr>\n",
1444 |               "      <th>04.305.193/0001-40</th>\n",
1445 |               "      <td>38.568461</td>\n",
1446 |               "      <td>BB CAMBIAL EURO LP FUNDO DE INVESTIMENTO EM COTAS DE FUNDOS DE INVESTIMENTO</td>\n",
1447 |               "      <td>Fundo Cambial</td>\n",
1448 |               "      <td>1.299703e+08</td>\n",
1449 |               "    </tr>\n",
1450 |               "    <tr>\n",
1451 |               "      <th>00.819.855/0001-49</th>\n",
1452 |               "      <td>39.422331</td>\n",
1453 |               "      <td>WESTERN ASSET CÂMBIO DOLAR SILVER FICFI CAMBIAL</td>\n",
1454 |               "      <td>Fundo Cambial</td>\n",
1455 |               "      <td>2.664146e+06</td>\n",
1456 |               "    </tr>\n",
1457 |               "    <tr>\n",
1458 |               "      <th>00.819.880/0001-22</th>\n",
1459 |               "      <td>40.816680</td>\n",
1460 |               "      <td>WESTERN ASSET CÂMBIO DOLAR PRIME FICFI CAMBIAL</td>\n",
1461 |               "      <td>Fundo Cambial</td>\n",
1462 |               "      <td>4.302020e+07</td>\n",
1463 |               "    </tr>\n",
1464 |               "    <tr>\n",
1465 |               "      <th>00.819.889/0001-33</th>\n",
1466 |               "      <td>40.856621</td>\n",
1467 |               "      <td>WESTERN ASSET HEDGE DÓLAR FUNDO DE INVESTIMENTO CAMBIAL</td>\n",
1468 |               "      <td>Fundo Cambial</td>\n",
1469 |               "      <td>1.070803e+08</td>\n",
1470 |               "    </tr>\n",
1471 |               "    <tr>\n",
1472 |               "      <th>04.128.893/0001-06</th>\n",
1473 |               "      <td>41.930025</td>\n",
1474 |               "      <td>BB CAMBIAL DOLAR LP FUNDO DE INVESTIMENTO EM COTAS DE FUNDOS DE INVESTIMENTO</td>\n",
1475 |               "      <td>Fundo Cambial</td>\n",
1476 |               "      <td>3.113414e+08</td>\n",
1477 |               "    </tr>\n",
1478 |               "    <tr>\n",
1479 |               "      <th>02.543.933/0001-50</th>\n",
1480 |               "      <td>41.940647</td>\n",
1481 |               "      <td>SANTANDER FUNDO DE INVESTIMENTO EM COTAS DE FUNDOS DE INVESTIMENTO CAMBIAL</td>\n",
1482 |               "      <td>Fundo Cambial</td>\n",
1483 |               "      <td>1.056582e+08</td>\n",
1484 |               "    </tr>\n",
1485 |               "    <tr>\n",
1486 |               "      <th>04.061.044/0001-82</th>\n",
1487 |               "      <td>42.026233</td>\n",
1488 |               "      <td>BB CAMBIAL DÓLAR LP VIP FUNDO DE INVESTIMENTO EM COTAS DE FUNDOS DE INVESTIMENTO</td>\n",
1489 |               "      <td>Fundo Cambial</td>\n",
1490 |               "      <td>6.060828e+08</td>\n",
1491 |               "    </tr>\n",
1492 |               "    <tr>\n",
1493 |               "      <th>01.171.956/0001-19</th>\n",
1494 |               "      <td>42.214357</td>\n",
1495 |               "      <td>BRADESCO FUNDO DE INVESTIMENTO EM COTAS DE FUNDOS DE INVESTIMENTO CAMBIAL DÓLAR</td>\n",
1496 |               "      <td>Fundo Cambial</td>\n",
1497 |               "      <td>1.424385e+07</td>\n",
1498 |               "    </tr>\n",
1499 |               "    <tr>\n",
1500 |               "      <th>02.838.583/0001-50</th>\n",
1501 |               "      <td>42.421413</td>\n",
1502 |               "      <td>BB TOP DOLAR FUNDO DE INVESTIMENTO CAMBIAL LP</td>\n",
1503 |               "      <td>Fundo Cambial</td>\n",
1504 |               "      <td>1.387918e+09</td>\n",
1505 |               "    </tr>\n",
1506 |               "  </tbody>\n",
1507 |               "</table>\n",
1508 |               "</div>"
1509 |             ],
1510 |             "text/plain": [
1511 |               "                    retorno(%)  ...            PL\n",
1512 |               "CNPJ_FUNDO                      ...              \n",
1513 |               "32.246.789/0001-51  -29.891478  ...  6.095320e+06\n",
1514 |               "04.305.193/0001-40   38.568461  ...  1.299703e+08\n",
1515 |               "00.819.855/0001-49   39.422331  ...  2.664146e+06\n",
1516 |               "00.819.880/0001-22   40.816680  ...  4.302020e+07\n",
1517 |               "00.819.889/0001-33   40.856621  ...  1.070803e+08\n",
1518 |               "04.128.893/0001-06   41.930025  ...  3.113414e+08\n",
1519 |               "02.543.933/0001-50   41.940647  ...  1.056582e+08\n",
1520 |               "04.061.044/0001-82   42.026233  ...  6.060828e+08\n",
1521 |               "01.171.956/0001-19   42.214357  ...  1.424385e+07\n",
1522 |               "02.838.583/0001-50   42.421413  ...  1.387918e+09\n",
1523 |               "\n",
1524 |               "[10 rows x 4 columns]"
1525 |             ]
1526 |           },
1527 |           "metadata": {
1528 |             "tags": []
1529 |           },
1530 |           "execution_count": 21
1531 |         }
1532 |       ]
1533 |     },
1534 |     {
1535 |       "cell_type": "code",
1536 |       "metadata": {
1537 |         "id": "2wRxjf2rKCJ1",
1538 |         "colab_type": "code",
1539 |         "colab": {}
1540 |       },
1541 |       "source": [
1542 |         ""
1543 |       ],
1544 |       "execution_count": 0,
1545 |       "outputs": []
1546 |     }
1547 |   ]
1548 | }


--------------------------------------------------------------------------------
/LICENSE:
--------------------------------------------------------------------------------
 1 | MIT License
 2 | 
 3 | Copyright (c) 2021 CódigoQuant
 4 | 
 5 | Permission is hereby granted, free of charge, to any person obtaining a copy
 6 | of this software and associated documentation files (the "Software"), to deal
 7 | in the Software without restriction, including without limitation the rights
 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
 9 | copies of the Software, and to permit persons to whom the Software is
10 | furnished to do so, subject to the following conditions:
11 | 
12 | The above copyright notice and this permission notice shall be included in all
13 | copies or substantial portions of the Software.
14 | 
15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
21 | SOFTWARE.
22 | 


--------------------------------------------------------------------------------
/README.md:
--------------------------------------------------------------------------------
 1 | # Python para Investimentos
 2 | 
 3 | **Python para Investimentos** é um conjunto de códigos e vídeos em que mostro como utilizar a linguagem de programação PYTHON através da ferramenta online Google Colab para fazer estudos no mercado financeiro.
 4 | 
 5 | 
 6 | ✅ 𝐏𝐘𝐓𝐇𝐎𝐍 𝐏𝐀𝐑𝐀 𝐈𝐍𝐕𝐄𝐒𝐓𝐈𝐌𝐄𝐍𝐓𝐎𝐒 𝐂𝐎𝐌𝐏𝐋𝐄𝐓𝐎:
 7 | 
 8 | 🎬 Playlist Completa: https://www.youtube.com/watch?v=7GGrt3-rRH8&list=PLCAhGm8nJ9CBn51o0x3j1p1LuMRqpeqCy
 9 | 
10 | 🎬 1 - Obtendo cotações do Yahoo Finance: https://youtu.be/7GGrt3-rRH8
11 | 
12 | 🎬 2 - Definindo intervalos, calculando e plotando médias móveis: https://youtu.be/BBomKv3NFNc
13 | 
14 | 🎬 3 - Calculando Correlação entre DÓLAR e IBOVESPA: https://youtu.be/zjaGIcUb6Ek
15 | 
16 | 🎬 4 - Simulando uma CARTEIRA DE AÇÕES e comparando com o IBOVESPA: https://youtu.be/TiNLwmLN-iE
17 | 
18 | 🎬 5 - Backtesting com Pyfolio: https://youtu.be/d2qrsCfXung
19 | 
20 | 🎬 6 - SIMULANDO CARTEIRAS ALEATÓRIAS DE AÇÕES: https://youtu.be/G2Tr2dcjR3U
21 | 
22 | 🎬 7 - ANÁLISE ESTATÍSTICA DA QUEDA DE 12% DO IBOV: https://youtu.be/h4rDzDOoZPA
23 | 
24 | 🎬 8 - Obtendo e trabalhando com dados dos balanços | Classificando empresas segundo a Magic Formula: https://youtu.be/e_ZRDG4F4ZA
25 | 
26 | 🎬 9 - ALPHA VANTAGE: Obtendo Cotações de Empresas Brasileiras com PYTHON
27 | https://youtu.be/kB4jCoVyLRI
28 | 
29 | 🎬 10 -COMO ACESSAR A BASE DE DADOS DO BANCO CENTRAL DO BRASIL COM PYTHON
30 | https://youtu.be/7rFsu48oBn8
31 | 
32 | 🎬 11 - ACESSANDO DADOS DO INVESTING.COM COM PYTHON: Fundos de Investimento
33 | https://youtu.be/PfLqj1UWafc
34 | 
35 | 🎬 12 - ACESSANDO DADOS DO INVESTING.COM COM PYTHON #2: Índices e Ações
36 | https://youtu.be/Tv2-BGOLf9E
37 | 
38 | 🎬 13 - CURVA DE JUROS COM PYTHON (PLOTLY) E DADOS DO INVESTING.COM
39 | https://youtu.be/JmpZQAIDboo
40 | 
41 | 🎬 14 - GOOGLE COLAB e GOOGLE PLANILHAS INTEGRADOS: Salvando Dados na Nuvem com PYTHON
42 | https://youtu.be/YaCeqXpxWUk
43 | 
44 | 🎬 15 - SALVANDO PREÇOS HISTÓRICOS (COM PYTHON) de TODAS as AÇÕES do ÍNDICE BOVESPA no GOOGLE PLANILHAS
45 | https://youtu.be/HlhbsrJ4_PQ
46 | 
47 | 🎬 16 - DADOS CVM DE FUNDOS DE INVESTIMENTO: Como obter e tratar com PYTHON
48 | https://youtu.be/NHCUUZOvk7k
49 | 
50 | 🎬 17 - 10 MELHORES E PIORES FUNDOS DE INVESTIMENTO EM 2020: obtendo e tratando dados da CVM com Python
51 | https://youtu.be/dIqYBI7cvZ0
52 | 
53 | 🎬 18 - COLETANDO DADOS DA B3: Web Scraping das Carteiras Teoricas de Índices
54 | https://youtu.be/GEeuYkgq79E
55 | 
56 | 🎬 19 - DADOS DA BOLSA NO EXCEL COM PYTHON: Exportando do GOOGLE COLAB para uma PLANILHA
57 | https://youtu.be/zekmnLPvqTM
58 | 
59 | ---
60 | 
61 | ✅ 𝐑𝐄𝐃𝐄𝐒 𝐒𝐎𝐂𝐈𝐀𝐈𝐒:
62 | 
63 | https://www.youtube.com/@codigoquant
64 | 
65 | https://www.instagram.com/codigoquant
66 | 
67 | https://www.facebook.com/codigoquant
68 | 
69 | https://twitter.com/codigoquant
70 | 
71 | https://github.com/codigoquant
72 | 


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/historico_leiloes_tesouro.csv:
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https://raw.githubusercontent.com/codigoquant/python_para_investimentos/b4d1a37e5d0b2c81d1eaca1906e811a58c0caa87/historico_leiloes_tesouro.csv


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