Análise de Risco_x_Retorno.ipynb

{
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  "metadata": {
    "colab": {
      "name": "Instagram - Risco x Retorno.ipynb",
      "provenance": [],
      "authorship_tag": "ABX9TyPZHOaGWY4jKPJ4/lAtLZSo",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/victorncg/tradingcomdados/blob/master/An%C3%A1lise%20de%20Risco_x_Retorno.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "GiqLrjMJGDnZ"
      },
      "source": [
        "# 1. Instalando e importando bibliotecas"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "d81aLa1XGOvh",
        "outputId": "c66ed0ae-f04a-415d-da2f-d1851a0f7a4f"
      },
      "source": [
        "!pip install investpy\n",
        "!pip install yfinance"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting investpy\n",
            "  Downloading investpy-1.0.7.tar.gz (4.4 MB)\n",
            "\u001b[K     |████████████████████████████████| 4.4 MB 5.2 MB/s \n",
            "\u001b[?25hCollecting Unidecode>=1.1.1\n",
            "  Downloading Unidecode-1.3.2-py3-none-any.whl (235 kB)\n",
            "\u001b[K     |████████████████████████████████| 235 kB 51.5 MB/s \n",
            "\u001b[?25hRequirement already satisfied: setuptools>=41.2.0 in /usr/local/lib/python3.7/dist-packages (from investpy) (57.4.0)\n",
            "Requirement already satisfied: numpy>=1.17.2 in /usr/local/lib/python3.7/dist-packages (from investpy) (1.19.5)\n",
            "Requirement already satisfied: pandas>=0.25.1 in /usr/local/lib/python3.7/dist-packages (from investpy) (1.1.5)\n",
            "Collecting lxml>=4.4.1\n",
            "  Downloading lxml-4.6.3-cp37-cp37m-manylinux2014_x86_64.whl (6.3 MB)\n",
            "\u001b[K     |████████████████████████████████| 6.3 MB 38.4 MB/s \n",
            "\u001b[?25hRequirement already satisfied: requests>=2.22.0 in /usr/local/lib/python3.7/dist-packages (from investpy) (2.23.0)\n",
            "Collecting pytz>=2019.3\n",
            "  Downloading pytz-2021.1-py2.py3-none-any.whl (510 kB)\n",
            "\u001b[K     |████████████████████████████████| 510 kB 51.0 MB/s \n",
            "\u001b[?25hRequirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.7/dist-packages (from pandas>=0.25.1->investpy) (2.8.2)\n",
            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.7/dist-packages (from python-dateutil>=2.7.3->pandas>=0.25.1->investpy) (1.15.0)\n",
            "Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.7/dist-packages (from requests>=2.22.0->investpy) (3.0.4)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.7/dist-packages (from requests>=2.22.0->investpy) (2021.5.30)\n",
            "Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.7/dist-packages (from requests>=2.22.0->investpy) (1.24.3)\n",
            "Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.7/dist-packages (from requests>=2.22.0->investpy) (2.10)\n",
            "Building wheels for collected packages: investpy\n",
            "  Building wheel for investpy (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for investpy: filename=investpy-1.0.7-py3-none-any.whl size=4495221 sha256=584fde11de3a7b60d39fbc635dbfcdb422f7c28f547013a81daa0feb0b485bd6\n",
            "  Stored in directory: /root/.cache/pip/wheels/50/bb/ee/760eeb6cc7ed8efc1b1b23b13b6b9f17fb1ed530fb04bd16f5\n",
            "Successfully built investpy\n",
            "Installing collected packages: pytz, Unidecode, lxml, investpy\n",
            "  Attempting uninstall: pytz\n",
            "    Found existing installation: pytz 2018.9\n",
            "    Uninstalling pytz-2018.9:\n",
            "      Successfully uninstalled pytz-2018.9\n",
            "  Attempting uninstall: lxml\n",
            "    Found existing installation: lxml 4.2.6\n",
            "    Uninstalling lxml-4.2.6:\n",
            "      Successfully uninstalled lxml-4.2.6\n",
            "Successfully installed Unidecode-1.3.2 investpy-1.0.7 lxml-4.6.3 pytz-2021.1\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.colab-display-data+json": {
              "pip_warning": {
                "packages": [
                  "pytz"
                ]
              }
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          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting yfinance\n",
            "  Downloading yfinance-0.1.63.tar.gz (26 kB)\n",
            "Requirement already satisfied: pandas>=0.24 in /usr/local/lib/python3.7/dist-packages (from yfinance) (1.1.5)\n",
            "Requirement already satisfied: numpy>=1.15 in /usr/local/lib/python3.7/dist-packages (from yfinance) (1.19.5)\n",
            "Requirement already satisfied: requests>=2.20 in /usr/local/lib/python3.7/dist-packages (from yfinance) (2.23.0)\n",
            "Requirement already satisfied: multitasking>=0.0.7 in /usr/local/lib/python3.7/dist-packages (from yfinance) (0.0.9)\n",
            "Requirement already satisfied: lxml>=4.5.1 in /usr/local/lib/python3.7/dist-packages (from yfinance) (4.6.3)\n",
            "Requirement already satisfied: pytz>=2017.2 in /usr/local/lib/python3.7/dist-packages (from pandas>=0.24->yfinance) (2021.1)\n",
            "Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.7/dist-packages (from pandas>=0.24->yfinance) (2.8.2)\n",
            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.7/dist-packages (from python-dateutil>=2.7.3->pandas>=0.24->yfinance) (1.15.0)\n",
            "Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.7/dist-packages (from requests>=2.20->yfinance) (1.24.3)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.7/dist-packages (from requests>=2.20->yfinance) (2021.5.30)\n",
            "Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.7/dist-packages (from requests>=2.20->yfinance) (3.0.4)\n",
            "Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.7/dist-packages (from requests>=2.20->yfinance) (2.10)\n",
            "Building wheels for collected packages: yfinance\n",
            "  Building wheel for yfinance (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for yfinance: filename=yfinance-0.1.63-py2.py3-none-any.whl size=23918 sha256=c5ca983f007f68db6e4f30f28a03073f73e754e0e8db6a2622661411daf7ed3e\n",
            "  Stored in directory: /root/.cache/pip/wheels/fe/87/8b/7ec24486e001d3926537f5f7801f57a74d181be25b11157983\n",
            "Successfully built yfinance\n",
            "Installing collected packages: yfinance\n",
            "Successfully installed yfinance-0.1.63\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "RepZm8AQGnKe"
      },
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt\n",
        "import yfinance as yf"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "z6m9axgvGrfU"
      },
      "source": [
        "# 2. Importando dados"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0afxh-iuGype"
      },
      "source": [
        "ativos = ['PETR4.SA','VALE3.SA', 'WEGE3.SA', 'LOGN3.SA', 'ITUB4.SA',\n",
        "          'RADL3.SA', 'B3SA3.SA','BBAS3.SA','SMAL11.SA']"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "dnaRWJI2HFtf"
      },
      "source": [
        "inicio = '2019-01-01'\n",
        "fim = '2021-08-24'"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "XdfjTLXeKYWS",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "47ae0a78-311b-4e18-e601-784605e7754e"
      },
      "source": [
        "precos = pd.DataFrame()\n",
        "\n",
        "for i in ativos:\n",
        "  precos[i] = yf.download(i, start = inicio, end = fim)['Adj Close']"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[*********************100%***********************]  1 of 1 completed\n",
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            "[*********************100%***********************]  1 of 1 completed\n",
            "[*********************100%***********************]  1 of 1 completed\n",
            "[*********************100%***********************]  1 of 1 completed\n",
            "[*********************100%***********************]  1 of 1 completed\n",
            "[*********************100%***********************]  1 of 1 completed\n",
            "[*********************100%***********************]  1 of 1 completed\n",
            "[*********************100%***********************]  1 of 1 completed\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 234
        },
        "id": "cJ-S7-oHKgUJ",
        "outputId": "7ac18007-be69-4aa2-f935-d5c2855cd2b6"
      },
      "source": [
        "precos.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>PETR4.SA</th>\n",
              "      <th>VALE3.SA</th>\n",
              "      <th>WEGE3.SA</th>\n",
              "      <th>LOGN3.SA</th>\n",
              "      <th>ITUB4.SA</th>\n",
              "      <th>RADL3.SA</th>\n",
              "      <th>B3SA3.SA</th>\n",
              "      <th>BBAS3.SA</th>\n",
              "      <th>SMAL11.SA</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Date</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
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              "  <tbody>\n",
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              "      <th>2019-01-02</th>\n",
              "      <td>21.260366</td>\n",
              "      <td>44.829338</td>\n",
              "      <td>8.693207</td>\n",
              "      <td>8.13</td>\n",
              "      <td>33.612011</td>\n",
              "      <td>11.161046</td>\n",
              "      <td>8.481046</td>\n",
              "      <td>41.488239</td>\n",
              "      <td>89.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2019-01-03</th>\n",
              "      <td>21.781713</td>\n",
              "      <td>42.995453</td>\n",
              "      <td>8.891438</td>\n",
              "      <td>8.31</td>\n",
              "      <td>34.166157</td>\n",
              "      <td>11.135455</td>\n",
              "      <td>8.850316</td>\n",
              "      <td>41.658966</td>\n",
              "      <td>89.000000</td>\n",
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              "    <tr>\n",
              "      <th>2019-01-04</th>\n",
              "      <td>21.843567</td>\n",
              "      <td>45.794544</td>\n",
              "      <td>8.992972</td>\n",
              "      <td>8.38</td>\n",
              "      <td>33.593849</td>\n",
              "      <td>11.294898</td>\n",
              "      <td>8.529873</td>\n",
              "      <td>41.658966</td>\n",
              "      <td>90.500000</td>\n",
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              "    <tr>\n",
              "      <th>2019-01-07</th>\n",
              "      <td>22.188189</td>\n",
              "      <td>45.548859</td>\n",
              "      <td>8.852759</td>\n",
              "      <td>8.25</td>\n",
              "      <td>33.657429</td>\n",
              "      <td>11.042939</td>\n",
              "      <td>8.484097</td>\n",
              "      <td>41.385780</td>\n",
              "      <td>88.199997</td>\n",
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              "    <tr>\n",
              "      <th>2019-01-08</th>\n",
              "      <td>22.055641</td>\n",
              "      <td>45.987583</td>\n",
              "      <td>8.780235</td>\n",
              "      <td>7.95</td>\n",
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              "      <td>11.446469</td>\n",
              "      <td>8.508512</td>\n",
              "      <td>40.916275</td>\n",
              "      <td>88.830002</td>\n",
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              "  </tbody>\n",
              "</table>\n",
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            ],
            "text/plain": [
              "             PETR4.SA   VALE3.SA  WEGE3.SA  ...  B3SA3.SA   BBAS3.SA  SMAL11.SA\n",
              "Date                                        ...                                \n",
              "2019-01-02  21.260366  44.829338  8.693207  ...  8.481046  41.488239  89.000000\n",
              "2019-01-03  21.781713  42.995453  8.891438  ...  8.850316  41.658966  89.000000\n",
              "2019-01-04  21.843567  45.794544  8.992972  ...  8.529873  41.658966  90.500000\n",
              "2019-01-07  22.188189  45.548859  8.852759  ...  8.484097  41.385780  88.199997\n",
              "2019-01-08  22.055641  45.987583  8.780235  ...  8.508512  40.916275  88.830002\n",
              "\n",
              "[5 rows x 9 columns]"
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          },
          "metadata": {},
          "execution_count": 147
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "VMrBIYOeKuRn"
      },
      "source": [
        "# 3. Cálculo dos retornos"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "UxITAoyPK7hA"
      },
      "source": [
        "ativos_retornos = precos.pct_change()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 234
        },
        "id": "mGNopnLhLE_w",
        "outputId": "66dbb5c0-440b-45d1-c954-499fdad4e3b8"
      },
      "source": [
        "ativos_retornos.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "      <th>PETR4.SA</th>\n",
              "      <th>VALE3.SA</th>\n",
              "      <th>WEGE3.SA</th>\n",
              "      <th>LOGN3.SA</th>\n",
              "      <th>ITUB4.SA</th>\n",
              "      <th>RADL3.SA</th>\n",
              "      <th>B3SA3.SA</th>\n",
              "      <th>BBAS3.SA</th>\n",
              "      <th>SMAL11.SA</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",
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              "    <tr>\n",
              "      <th>2019-01-02</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
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              "    <tr>\n",
              "      <th>2019-01-03</th>\n",
              "      <td>0.024522</td>\n",
              "      <td>-0.040908</td>\n",
              "      <td>0.022803</td>\n",
              "      <td>0.022140</td>\n",
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              "      <td>0.000000</td>\n",
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              "    <tr>\n",
              "      <th>2019-01-04</th>\n",
              "      <td>0.002840</td>\n",
              "      <td>0.065102</td>\n",
              "      <td>0.011419</td>\n",
              "      <td>0.008424</td>\n",
              "      <td>-0.016751</td>\n",
              "      <td>0.014318</td>\n",
              "      <td>-0.036207</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.016854</td>\n",
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              "    <tr>\n",
              "      <th>2019-01-07</th>\n",
              "      <td>0.015777</td>\n",
              "      <td>-0.005365</td>\n",
              "      <td>-0.015591</td>\n",
              "      <td>-0.015513</td>\n",
              "      <td>0.001893</td>\n",
              "      <td>-0.022307</td>\n",
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              "      <td>-0.006558</td>\n",
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              "    <tr>\n",
              "      <th>2019-01-08</th>\n",
              "      <td>-0.005974</td>\n",
              "      <td>0.009632</td>\n",
              "      <td>-0.008192</td>\n",
              "      <td>-0.036364</td>\n",
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              "      <td>0.036542</td>\n",
              "      <td>0.002878</td>\n",
              "      <td>-0.011345</td>\n",
              "      <td>0.007143</td>\n",
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            ],
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              "            PETR4.SA  VALE3.SA  WEGE3.SA  ...  B3SA3.SA  BBAS3.SA  SMAL11.SA\n",
              "Date                                      ...                               \n",
              "2019-01-02       NaN       NaN       NaN  ...       NaN       NaN        NaN\n",
              "2019-01-03  0.024522 -0.040908  0.022803  ...  0.043541  0.004115   0.000000\n",
              "2019-01-04  0.002840  0.065102  0.011419  ... -0.036207  0.000000   0.016854\n",
              "2019-01-07  0.015777 -0.005365 -0.015591  ... -0.005366 -0.006558  -0.025414\n",
              "2019-01-08 -0.005974  0.009632 -0.008192  ...  0.002878 -0.011345   0.007143\n",
              "\n",
              "[5 rows x 9 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 149
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HWIjNPReLGHN"
      },
      "source": [
        "ativos_retornos = ativos_retornos.dropna()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Sqh-MnPwNjgD"
      },
      "source": [
        "# 5. Normalizando preços"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "edk6FnJQOFBd"
      },
      "source": [
        "normalizado = precos/precos.iloc[0]"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 571
        },
        "id": "QDCfVkqlOomu",
        "outputId": "b2bada75-388c-497a-89ab-1d8484852a84"
      },
      "source": [
        "normalizado.plot(figsize = (10,10));"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "FBgzcAIsOsY2"
      },
      "source": [
        "# 6. Criando um DF consolidado com retorno vs. volatilidade"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "KnKFni5LPP8_",
        "outputId": "64d13613-7379-4dda-f842-e417244e5e7e"
      },
      "source": [
        "ativos_retornos.std()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "PETR4.SA     0.032293\n",
              "VALE3.SA     0.028569\n",
              "WEGE3.SA     0.027351\n",
              "LOGN3.SA     0.040655\n",
              "ITUB4.SA     0.023021\n",
              "RADL3.SA     0.022383\n",
              "B3SA3.SA     0.027879\n",
              "BBAS3.SA     0.028448\n",
              "SMAL11.SA    0.021954\n",
              "dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 153
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "D0qANNBmPZPC"
      },
      "source": [
        "volatilidade = pd.DataFrame(ativos_retornos.std(), columns= ['Vol'] )"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "efUEKfm0Pg-x"
      },
      "source": [
        "retornos_medios = pd.DataFrame(ativos_retornos.mean(), columns= ['Returns'] )"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-CH00kZ-QD3u"
      },
      "source": [
        "risco_retorno = pd.concat([retornos_medios, volatilidade], axis = 1)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 326
        },
        "id": "NceJv_83QXHD",
        "outputId": "f97f1434-04b6-44e1-d92f-3c76f550964d"
      },
      "source": [
        "risco_retorno"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Returns</th>\n",
              "      <th>Vol</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>PETR4.SA</th>\n",
              "      <td>0.000913</td>\n",
              "      <td>0.032293</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>VALE3.SA</th>\n",
              "      <td>0.001586</td>\n",
              "      <td>0.028569</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>WEGE3.SA</th>\n",
              "      <td>0.002552</td>\n",
              "      <td>0.027351</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>LOGN3.SA</th>\n",
              "      <td>0.001786</td>\n",
              "      <td>0.040655</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ITUB4.SA</th>\n",
              "      <td>0.000095</td>\n",
              "      <td>0.023021</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>RADL3.SA</th>\n",
              "      <td>0.001580</td>\n",
              "      <td>0.022383</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>B3SA3.SA</th>\n",
              "      <td>0.001120</td>\n",
              "      <td>0.027879</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>BBAS3.SA</th>\n",
              "      <td>-0.000120</td>\n",
              "      <td>0.028448</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>SMAL11.SA</th>\n",
              "      <td>0.000899</td>\n",
              "      <td>0.021954</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "            Returns       Vol\n",
              "PETR4.SA   0.000913  0.032293\n",
              "VALE3.SA   0.001586  0.028569\n",
              "WEGE3.SA   0.002552  0.027351\n",
              "LOGN3.SA   0.001786  0.040655\n",
              "ITUB4.SA   0.000095  0.023021\n",
              "RADL3.SA   0.001580  0.022383\n",
              "B3SA3.SA   0.001120  0.027879\n",
              "BBAS3.SA  -0.000120  0.028448\n",
              "SMAL11.SA  0.000899  0.021954"
            ]
          },
          "metadata": {},
          "execution_count": 157
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 606
        },
        "id": "JIU3aBgXQvs6",
        "outputId": "5ae2f618-fe7c-4820-cbe4-8d3fdc615d39"
      },
      "source": [
        "plt.subplots(figsize = (12,10))\n",
        "\n",
        "sns.scatterplot(data = risco_retorno, x = 'Vol', y = 'Returns')\n",
        "\n",
        "for i in range(risco_retorno.shape[0]):\n",
        "  plt.text(x = risco_retorno.Vol[i], y = risco_retorno.Returns[i], \n",
        "           s = risco_retorno.index[i],\n",
        "           fontdict = dict(color = 'red', size = 15),\n",
        "           bbox = dict(facecolor = 'yellow'))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 864x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-_b2Hyv8nudh"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}