anotacoes.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Projeto - WebScraping no Yahoo Finance e Automatização do envio de e-mails"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Cenário: Empresa de investimentos."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Projeto: enviar análises solicitadas por e-mail."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###### Antes -> [Entrar no site Yahoo Finance // Selecionar ação // Selecionar período // Fazer o download // Montar análises // Preparar e-mail // Enviar e-mail. ]\n",
    "\n",
    "###### Depois -> [Rodar o sistema // Escolher a ação. ]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Passo a passo do problema: \n",
    "    # Buscar as informações da ação automaticamente;\n",
    "    # Criar análises solicitadas;\n",
    "        # Cotação máxima;\n",
    "        # Cotação mínima;\n",
    "        # Valor médio;\n",
    "    # Enviar um e-mail automaticamente para o gestor."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Instalar bibliotecas (yfinance e matplotlib)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# \"%pip install yfinance\"\n",
    "# \"%pip install matplotlib\"\n",
    "# Depois, \"%pip install pyautogui\"\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "#importando o yfinance\n",
    "import yfinance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Volume</th>\n",
       "      <th>Dividends</th>\n",
       "      <th>Stock Splits</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2024-01-02 00:00:00-03:00</th>\n",
       "      <td>32.981615</td>\n",
       "      <td>33.378030</td>\n",
       "      <td>32.946381</td>\n",
       "      <td>33.281128</td>\n",
       "      <td>24043800</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-01-03 00:00:00-03:00</th>\n",
       "      <td>33.298748</td>\n",
       "      <td>34.461561</td>\n",
       "      <td>33.184227</td>\n",
       "      <td>34.320614</td>\n",
       "      <td>52300200</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-01-04 00:00:00-03:00</th>\n",
       "      <td>34.461560</td>\n",
       "      <td>34.664171</td>\n",
       "      <td>33.924198</td>\n",
       "      <td>34.029911</td>\n",
       "      <td>45344900</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>2024-01-05 00:00:00-03:00</th>\n",
       "      <td>34.241332</td>\n",
       "      <td>34.479180</td>\n",
       "      <td>33.836110</td>\n",
       "      <td>34.109196</td>\n",
       "      <td>35783700</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-01-08 00:00:00-03:00</th>\n",
       "      <td>33.809680</td>\n",
       "      <td>33.853725</td>\n",
       "      <td>33.131372</td>\n",
       "      <td>33.853725</td>\n",
       "      <td>35158100</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-01-09 00:00:00-03:00</th>\n",
       "      <td>34.065142</td>\n",
       "      <td>34.135618</td>\n",
       "      <td>33.501355</td>\n",
       "      <td>33.563019</td>\n",
       "      <td>27279000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-01-10 00:00:00-03:00</th>\n",
       "      <td>33.563020</td>\n",
       "      <td>33.712778</td>\n",
       "      <td>33.043278</td>\n",
       "      <td>33.254700</td>\n",
       "      <td>27382000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-01-11 00:00:00-03:00</th>\n",
       "      <td>33.457312</td>\n",
       "      <td>33.607070</td>\n",
       "      <td>33.210655</td>\n",
       "      <td>33.536594</td>\n",
       "      <td>26564400</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-01-12 00:00:00-03:00</th>\n",
       "      <td>33.915388</td>\n",
       "      <td>34.117999</td>\n",
       "      <td>33.624683</td>\n",
       "      <td>33.624683</td>\n",
       "      <td>24479500</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-01-15 00:00:00-03:00</th>\n",
       "      <td>33.466120</td>\n",
       "      <td>34.021097</td>\n",
       "      <td>33.351600</td>\n",
       "      <td>33.985863</td>\n",
       "      <td>13818300</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-01-16 00:00:00-03:00</th>\n",
       "      <td>34.012289</td>\n",
       "      <td>34.170855</td>\n",
       "      <td>33.545403</td>\n",
       "      <td>33.563019</td>\n",
       "      <td>31277700</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-01-17 00:00:00-03:00</th>\n",
       "      <td>33.448504</td>\n",
       "      <td>33.607069</td>\n",
       "      <td>33.316364</td>\n",
       "      <td>33.369221</td>\n",
       "      <td>27577300</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-01-18 00:00:00-03:00</th>\n",
       "      <td>33.598256</td>\n",
       "      <td>33.598256</td>\n",
       "      <td>33.087325</td>\n",
       "      <td>33.237080</td>\n",
       "      <td>22987200</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-01-19 00:00:00-03:00</th>\n",
       "      <td>33.307554</td>\n",
       "      <td>33.386837</td>\n",
       "      <td>32.796619</td>\n",
       "      <td>33.060894</td>\n",
       "      <td>31745200</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-01-22 00:00:00-03:00</th>\n",
       "      <td>33.034471</td>\n",
       "      <td>33.307557</td>\n",
       "      <td>32.796622</td>\n",
       "      <td>33.210655</td>\n",
       "      <td>22753700</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-01-23 00:00:00-03:00</th>\n",
       "      <td>33.333982</td>\n",
       "      <td>33.800868</td>\n",
       "      <td>32.972805</td>\n",
       "      <td>33.624683</td>\n",
       "      <td>32498500</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-01-24 00:00:00-03:00</th>\n",
       "      <td>33.730397</td>\n",
       "      <td>33.950627</td>\n",
       "      <td>33.272319</td>\n",
       "      <td>33.369221</td>\n",
       "      <td>25415300</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-01-25 00:00:00-03:00</th>\n",
       "      <td>33.703967</td>\n",
       "      <td>34.602505</td>\n",
       "      <td>33.589450</td>\n",
       "      <td>34.602505</td>\n",
       "      <td>48655300</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-01-26 00:00:00-03:00</th>\n",
       "      <td>34.443939</td>\n",
       "      <td>35.316051</td>\n",
       "      <td>34.276566</td>\n",
       "      <td>35.201530</td>\n",
       "      <td>41378200</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-01-29 00:00:00-03:00</th>\n",
       "      <td>35.236768</td>\n",
       "      <td>35.756510</td>\n",
       "      <td>35.087013</td>\n",
       "      <td>35.738892</td>\n",
       "      <td>30547500</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-01-30 00:00:00-03:00</th>\n",
       "      <td>35.386526</td>\n",
       "      <td>35.888653</td>\n",
       "      <td>35.280817</td>\n",
       "      <td>35.518665</td>\n",
       "      <td>34829000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-01-31 00:00:00-03:00</th>\n",
       "      <td>35.439375</td>\n",
       "      <td>36.329106</td>\n",
       "      <td>35.395330</td>\n",
       "      <td>35.906261</td>\n",
       "      <td>57978900</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                Open       High        Low      Close  \\\n",
       "Date                                                                    \n",
       "2024-01-02 00:00:00-03:00  32.981615  33.378030  32.946381  33.281128   \n",
       "2024-01-03 00:00:00-03:00  33.298748  34.461561  33.184227  34.320614   \n",
       "2024-01-04 00:00:00-03:00  34.461560  34.664171  33.924198  34.029911   \n",
       "2024-01-05 00:00:00-03:00  34.241332  34.479180  33.836110  34.109196   \n",
       "2024-01-08 00:00:00-03:00  33.809680  33.853725  33.131372  33.853725   \n",
       "2024-01-09 00:00:00-03:00  34.065142  34.135618  33.501355  33.563019   \n",
       "2024-01-10 00:00:00-03:00  33.563020  33.712778  33.043278  33.254700   \n",
       "2024-01-11 00:00:00-03:00  33.457312  33.607070  33.210655  33.536594   \n",
       "2024-01-12 00:00:00-03:00  33.915388  34.117999  33.624683  33.624683   \n",
       "2024-01-15 00:00:00-03:00  33.466120  34.021097  33.351600  33.985863   \n",
       "2024-01-16 00:00:00-03:00  34.012289  34.170855  33.545403  33.563019   \n",
       "2024-01-17 00:00:00-03:00  33.448504  33.607069  33.316364  33.369221   \n",
       "2024-01-18 00:00:00-03:00  33.598256  33.598256  33.087325  33.237080   \n",
       "2024-01-19 00:00:00-03:00  33.307554  33.386837  32.796619  33.060894   \n",
       "2024-01-22 00:00:00-03:00  33.034471  33.307557  32.796622  33.210655   \n",
       "2024-01-23 00:00:00-03:00  33.333982  33.800868  32.972805  33.624683   \n",
       "2024-01-24 00:00:00-03:00  33.730397  33.950627  33.272319  33.369221   \n",
       "2024-01-25 00:00:00-03:00  33.703967  34.602505  33.589450  34.602505   \n",
       "2024-01-26 00:00:00-03:00  34.443939  35.316051  34.276566  35.201530   \n",
       "2024-01-29 00:00:00-03:00  35.236768  35.756510  35.087013  35.738892   \n",
       "2024-01-30 00:00:00-03:00  35.386526  35.888653  35.280817  35.518665   \n",
       "2024-01-31 00:00:00-03:00  35.439375  36.329106  35.395330  35.906261   \n",
       "\n",
       "                             Volume  Dividends  Stock Splits  \n",
       "Date                                                          \n",
       "2024-01-02 00:00:00-03:00  24043800        0.0           0.0  \n",
       "2024-01-03 00:00:00-03:00  52300200        0.0           0.0  \n",
       "2024-01-04 00:00:00-03:00  45344900        0.0           0.0  \n",
       "2024-01-05 00:00:00-03:00  35783700        0.0           0.0  \n",
       "2024-01-08 00:00:00-03:00  35158100        0.0           0.0  \n",
       "2024-01-09 00:00:00-03:00  27279000        0.0           0.0  \n",
       "2024-01-10 00:00:00-03:00  27382000        0.0           0.0  \n",
       "2024-01-11 00:00:00-03:00  26564400        0.0           0.0  \n",
       "2024-01-12 00:00:00-03:00  24479500        0.0           0.0  \n",
       "2024-01-15 00:00:00-03:00  13818300        0.0           0.0  \n",
       "2024-01-16 00:00:00-03:00  31277700        0.0           0.0  \n",
       "2024-01-17 00:00:00-03:00  27577300        0.0           0.0  \n",
       "2024-01-18 00:00:00-03:00  22987200        0.0           0.0  \n",
       "2024-01-19 00:00:00-03:00  31745200        0.0           0.0  \n",
       "2024-01-22 00:00:00-03:00  22753700        0.0           0.0  \n",
       "2024-01-23 00:00:00-03:00  32498500        0.0           0.0  \n",
       "2024-01-24 00:00:00-03:00  25415300        0.0           0.0  \n",
       "2024-01-25 00:00:00-03:00  48655300        0.0           0.0  \n",
       "2024-01-26 00:00:00-03:00  41378200        0.0           0.0  \n",
       "2024-01-29 00:00:00-03:00  30547500        0.0           0.0  \n",
       "2024-01-30 00:00:00-03:00  34829000        0.0           0.0  \n",
       "2024-01-31 00:00:00-03:00  57978900        0.0           0.0  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ticker = input(\"Digite o código da ação desejada: \")\n",
    "dt_inicial = input(\"Digite a data inicial (aaaa-mm-dd): \")\n",
    "dt_final = input(\"Digite a data final (aaaa-mm-dd): \")\n",
    "dados = yfinance.Ticker(ticker)\n",
    "tabela = dados.history(start=dt_inicial,end=dt_final)\n",
    "tabela\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Date'>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fechamento=tabela.Close\n",
    "fechamento\n",
    "\n",
    "fechamento.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Criar as análises solicitadas: Cotações máximas, mínimas, valores médios e uso de round para diminuição de casas decimais."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "35.91\n",
      "33.06\n",
      "34.0\n"
     ]
    }
   ],
   "source": [
    "maxima = round(fechamento.max(), 2)\n",
    "minima = round(fechamento.min(), 2)\n",
    "media = round(fechamento.mean(), 2)\n",
    "\n",
    "print(maxima)\n",
    "print(minima)\n",
    "print(media)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Enviar o e-mail automaticamente\n",
    "##### Instalar 'pyautogui', 'pyperclip' e 'webbrowser' sendo que as 2 últimas não precisam ser instaladas, a primeira pois foi instalada junto com pyautogui"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "E-mail enviado com sucesso!\n"
     ]
    }
   ],
   "source": [
    "import pyautogui\n",
    "import pyperclip\n",
    "import webbrowser\n",
    "from time import sleep\n",
    "\n",
    "#destinatario = \"@gmail.com\"\n",
    "assunto = \"Análises Projeto 2024\"\n",
    "\n",
    "mensagem = f\"\"\"\n",
    "Bom dia, \n",
    "\n",
    "Segue abaixo as análises da ação {ticker} do período solicitado: {dt_inicial} a {dt_final}:\n",
    "\n",
    "Cotação máxima: R${maxima}\n",
    "Cotação mínima: R${minima}\n",
    "Valor médio: R${media}\n",
    "\"\"\"\n",
    "\n",
    "#configurar pausa entre ações do pyautogui.\n",
    "pyautogui.PAUSE = 3\n",
    "\n",
    "# abrir o navegador e ir ao g-mail\n",
    "webbrowser.open(\"www.gmail.com\")\n",
    "sleep(3)\n",
    "\n",
    "# clicar no botão Escrever\n",
    "pyautogui.click(x=82, y=197)\n",
    "\n",
    "# Preencher Para \n",
    "pyperclip.copy(destinatario)\n",
    "pyautogui.hotkey(\"ctrl\",\"v\")\n",
    "pyautogui.hotkey(\"tab\")\n",
    "\n",
    "# Preencher assunto\n",
    "pyperclip.copy(assunto)\n",
    "pyautogui.hotkey(\"ctrl\", \"v\")\n",
    "pyautogui.hotkey(\"tab\")\n",
    "\n",
    "# Preencher corpo do e-mail\n",
    "pyperclip.copy(mensagem)\n",
    "pyautogui.hotkey(\"ctrl\",\"v\")\n",
    "\n",
    "# Clicar no botão enviar\n",
    "pyautogui.click(x=1324, y=990)\n",
    "\n",
    "# Fechar a aba\n",
    "pyautogui.hotkey(\"alt\",\"f4\")\n",
    "\n",
    "print(\"E-mail enviado com sucesso!\")\n",
    "\n",
    "\n",
    "# \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Point(x=1324, y=990)\n"
     ]
    }
   ],
   "source": [
    "# Obtendo as coordenadas na tela\n",
    "import time\n",
    "import pyautogui\n",
    "\n",
    "time.sleep(5)\n",
    "print(pyautogui.position())\n",
    "\n",
    "# Botão escrever: x=82, y=197\n",
    "# Botão enviar: x=1324, y=990"
   ]
  }
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