ES_TA_Capítulo_07_Ingeniería_de_Características.ipynb

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      "name": "ES - TA Capítulo 07: Ingeniería de Características",
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      "source": [
        "<a href=\"https://colab.research.google.com/github/joanby/trading-algoritmico-a-z-con-python/blob/main/ES_TA_Cap%C3%ADtulo_07_Ingenier%C3%ADa_de_Caracter%C3%ADsticas.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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      "source": [
        "<p><img alt=\"Colaboratory logo\" height=\"45px\" src=\"https://www.quantreo.com/wp-content/uploads/2021/10/Original-on-Transparent.png\" align=\"left\" hspace=\"10px\" vspace=\"0px\">\n",
        "<img alt=\"Colaboratory logo\" height=\"45px\" src=\"https://static-881c.kxcdn.com/wp-content/uploads/2016/03/frogamesLogoFull4.png\" align=\"left\" hspace=\"10px\" vspace=\"0px\"></p>\n",
        "\n",
        "# Ingeniería de Características\n",
        "\n",
        "\n",
        "En este capítulo, aprenderemos a crear indicadores técnicos por nosotros mismos y a crearlos utilizando la librería de análisis técnico de Python.\n",
        "\n",
        "### Resumen\n",
        "* Media móvil simple (SMA)\n",
        "* Desviación Estándar Móvil (DMS)\n",
        "* Crear otros indicadores utilizando la librería de Análisis Técnico (ta)\n",
        "\n",
        "</br>\n",
        "\n",
        "💰 Únete a la comunidad de [Discord](https://discord.gg/z3dx5XpkX4)\n",
        "\n",
        "📚 Puedes leer nuestro libro en [Amazon](https://www.amazon.es/Python-para-finanzas-trading-algor%C3%ADtmico-ebook/dp/B0BT4ZS9Q3/)\n",
        "\n",
        "🖥️ El canal de [YouTube de Quantreo's](https://www.youtube.com/channel/UCp7jckfiEglNf_Gj62VR0pw) (en inglés) y el de [Frogames](https://www.youtube.com/channel/UCMUxXNYrVCv6-bQakhomvBg) en español\n",
        "\n",
        "\n"
      ],
      "id": "8a259865"
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        "id": "59UB0Dq5dtGf",
        "outputId": "6a49780e-4598-4382-ca9c-dfe8338f35ad"
      },
      "source": [
        "!pip install yfinance\n",
        "!pip install ta"
      ],
      "id": "59UB0Dq5dtGf",
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Collecting yfinance\n",
            "  Downloading yfinance-0.1.72-py2.py3-none-any.whl (27 kB)\n",
            "Collecting lxml>=4.5.1\n",
            "  Downloading lxml-4.9.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl (6.4 MB)\n",
            "\u001b[K     |████████████████████████████████| 6.4 MB 7.5 MB/s \n",
            "\u001b[?25hCollecting requests>=2.26\n",
            "  Downloading requests-2.28.0-py3-none-any.whl (62 kB)\n",
            "\u001b[K     |████████████████████████████████| 62 kB 927 kB/s \n",
            "\u001b[?25hRequirement already satisfied: numpy>=1.15 in /usr/local/lib/python3.7/dist-packages (from yfinance) (1.21.6)\n",
            "Requirement already satisfied: pandas>=0.24.0 in /usr/local/lib/python3.7/dist-packages (from yfinance) (1.3.5)\n",
            "Requirement already satisfied: multitasking>=0.0.7 in /usr/local/lib/python3.7/dist-packages (from yfinance) (0.0.10)\n",
            "Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.7/dist-packages (from pandas>=0.24.0->yfinance) (2.8.2)\n",
            "Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.7/dist-packages (from pandas>=0.24.0->yfinance) (2022.1)\n",
            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.7/dist-packages (from python-dateutil>=2.7.3->pandas>=0.24.0->yfinance) (1.15.0)\n",
            "Requirement already satisfied: charset-normalizer~=2.0.0 in /usr/local/lib/python3.7/dist-packages (from requests>=2.26->yfinance) (2.0.12)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.7/dist-packages (from requests>=2.26->yfinance) (2022.6.15)\n",
            "Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/local/lib/python3.7/dist-packages (from requests>=2.26->yfinance) (1.24.3)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.7/dist-packages (from requests>=2.26->yfinance) (2.10)\n",
            "Installing collected packages: requests, lxml, yfinance\n",
            "  Attempting uninstall: requests\n",
            "    Found existing installation: requests 2.23.0\n",
            "    Uninstalling requests-2.23.0:\n",
            "      Successfully uninstalled requests-2.23.0\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",
            "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
            "google-colab 1.0.0 requires requests~=2.23.0, but you have requests 2.28.0 which is incompatible.\n",
            "datascience 0.10.6 requires folium==0.2.1, but you have folium 0.8.3 which is incompatible.\u001b[0m\n",
            "Successfully installed lxml-4.9.0 requests-2.28.0 yfinance-0.1.72\n",
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Collecting ta\n",
            "  Downloading ta-0.10.1.tar.gz (24 kB)\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.7/dist-packages (from ta) (1.21.6)\n",
            "Requirement already satisfied: pandas in /usr/local/lib/python3.7/dist-packages (from ta) (1.3.5)\n",
            "Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.7/dist-packages (from pandas->ta) (2022.1)\n",
            "Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.7/dist-packages (from pandas->ta) (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->ta) (1.15.0)\n",
            "Building wheels for collected packages: ta\n",
            "  Building wheel for ta (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for ta: filename=ta-0.10.1-py3-none-any.whl size=28985 sha256=bec39f3d9f56d13886a4cc420ab2733ea262c0e3230367c295a9d5e01465f338\n",
            "  Stored in directory: /root/.cache/pip/wheels/bc/2a/c2/a56e77d07edc16a1fa7fb012667e55cb0643cfa65996bddecc\n",
            "Successfully built ta\n",
            "Installing collected packages: ta\n",
            "Successfully installed ta-0.10.1\n"
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      "metadata": {
        "id": "NE7I2SM5d-Dw"
      },
      "source": [
        "import matplotlib as mpl\n",
        "import matplotlib.pyplot as plt\n",
        "from matplotlib import cycler\n",
        "\n",
        "colors = cycler('color',\n",
        "                ['#669FEE', '#66EE91', '#9988DD',\n",
        "                 '#EECC55', '#88BB44', '#FFBBBB'])\n",
        "plt.rc('figure', facecolor='#313233')\n",
        "plt.rc('axes', facecolor=\"#313233\", edgecolor='none',\n",
        "       axisbelow=True, grid=True, prop_cycle=colors,\n",
        "       labelcolor='gray')\n",
        "plt.rc('grid', color='474A4A', linestyle='solid')\n",
        "plt.rc('xtick', color='gray')\n",
        "plt.rc('ytick', direction='out', color='gray')\n",
        "plt.rc('legend', facecolor=\"#313233\", edgecolor=\"#313233\")\n",
        "plt.rc(\"text\", color=\"#C9C9C9\")\n",
        "plt.rc('figure', facecolor='#313233')"
      ],
      "id": "NE7I2SM5d-Dw",
      "execution_count": 14,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "3RPQht9kdyva"
      },
      "source": [
        "# Importar los datos"
      ],
      "id": "3RPQht9kdyva"
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7c55d4f0"
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      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "plt.style.use('seaborn')\n",
        "import warnings\n",
        "warnings.filterwarnings(\"ignore\")\n",
        "import yfinance as yf"
      ],
      "id": "7c55d4f0",
      "execution_count": 4,
      "outputs": []
    },
    {
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        },
        "outputId": "fc6b6b14-cc56-4b89-c735-e0159044df9b"
      },
      "source": [
        "# Importar los datos\n",
        "df = yf.download(\"GOOG\")\n",
        "df.columns"
      ],
      "id": "75bb609e",
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\r[*********************100%***********************]  1 of 1 completed\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['Open', 'High', 'Low', 'Close', 'Adj Close', 'Volume'], dtype='object')"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "d3adcc11"
      },
      "source": [
        "**Importante**: Los nombres de las columnas son diferentes entre la importación usando la API de Yahoo Finanzas o la importación usando MetaTrader5. Por lo tanto, para eliminar este problema, vamos a renombrar las columnas necesarias siempre con el mismo nombre. En este caso, sólo necesitamos las columnas de Cierre Ajustado"
      ],
      "id": "d3adcc11"
    },
    {
      "cell_type": "code",
      "metadata": {
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        "colab": {
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          "height": 455
        },
        "outputId": "e7e63172-d18d-423c-a41a-3a42a8ae32ba"
      },
      "source": [
        "# Renombrar las columnas\n",
        "df = df[[\"Adj Close\"]]\n",
        "df.columns = [\"close\"]\n",
        "df"
      ],
      "id": "40bde95a",
      "execution_count": 6,
      "outputs": [
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              "                  close\n",
              "Date                   \n",
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    {
      "cell_type": "markdown",
      "metadata": {
        "id": "5ce72c4f"
      },
      "source": [
        "# Media móvil simple (SMA)"
      ],
      "id": "5ce72c4f"
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "b2df2814"
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      "source": [
        "# Media móvil simple\n",
        "df[\"SMA 15\"] = df[[\"close\"]].rolling(15).mean().shift(1)\n",
        "df[\"SMA 60\"] = df[[\"close\"]].rolling(60).mean().shift(1)"
      ],
      "id": "b2df2814",
      "execution_count": 11,
      "outputs": []
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        "df"
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      "id": "YqFnwj6C3PC_",
      "execution_count": 12,
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              "                  close       SMA 15       SMA 60\n",
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              "2022-06-21  2240.300049  2253.428011  2423.288167\n",
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              "<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>close</th>\n",
              "      <th>SMA 15</th>\n",
              "      <th>SMA 60</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Date</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2004-08-19</th>\n",
              "      <td>49.982655</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2004-08-20</th>\n",
              "      <td>53.952770</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2004-08-23</th>\n",
              "      <td>54.495735</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2004-08-24</th>\n",
              "      <td>52.239197</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2004-08-25</th>\n",
              "      <td>52.802086</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2022-06-14</th>\n",
              "      <td>2143.879883</td>\n",
              "      <td>2252.950684</td>\n",
              "      <td>2463.279838</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2022-06-15</th>\n",
              "      <td>2207.810059</td>\n",
              "      <td>2246.987337</td>\n",
              "      <td>2453.410669</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2022-06-16</th>\n",
              "      <td>2132.719971</td>\n",
              "      <td>2252.940007</td>\n",
              "      <td>2444.714669</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2022-06-17</th>\n",
              "      <td>2157.310059</td>\n",
              "      <td>2254.002002</td>\n",
              "      <td>2433.500834</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2022-06-21</th>\n",
              "      <td>2240.300049</td>\n",
              "      <td>2253.428011</td>\n",
              "      <td>2423.288167</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>4491 rows × 3 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-646294a3-bbee-4218-a14a-285c99bb3263')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-646294a3-bbee-4218-a14a-285c99bb3263 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-646294a3-bbee-4218-a14a-285c99bb3263');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "19627753",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 489
        },
        "outputId": "5eca8b87-6c4b-46c5-eb17-e89612cfa8f0"
      },
      "source": [
        "df[[\"SMA 15\", \"SMA 60\", \"close\"]].loc[\"2010\"].plot(figsize=(15,8))"
      ],
      "id": "19627753",
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f540b1903d0>"
            ]
          },
          "metadata": {},
          "execution_count": 15
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1080x576 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "49cee12f"
      },
      "source": [
        "# Desviación estándar móvil (MSD)"
      ],
      "id": "49cee12f"
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ce6a2711"
      },
      "source": [
        "# Volatilidad del Retorno\n",
        "df[\"returns\"] = df[\"close\"].pct_change(1)\n",
        "\n",
        "df[\"MSD 15\"] = df[[\"returns\"]].rolling(15).std().shift(1)\n",
        "df[\"MSD 60\"] = df[[\"returns\"]].rolling(60).std().shift(1)"
      ],
      "id": "ce6a2711",
      "execution_count": 16,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 489
        },
        "id": "uLGhUaeOrw8R",
        "outputId": "0dcb8399-7039-4f94-bf13-b5f22688668a"
      },
      "source": [
        "df[[\"MSD 15\", \"MSD 60\", \"returns\"]].loc[\"2010\"].plot(figsize=(15,8))"
      ],
      "id": "uLGhUaeOrw8R",
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f5409c7a810>"
            ]
          },
          "metadata": {},
          "execution_count": 17
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1080x576 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "de339350"
      },
      "source": [
        "# Librería Technical Analysis (ta) \n",
        "https://technical-analysis-library-in-python.readthedocs.io/en/latest/ta.html\n",
        "\n",
        "Puedes consultar este enlace (documentación oficial de ta) si quieres usar otro indicador. (Esta no es la librería ta-lib, no te equivoques)"
      ],
      "id": "de339350"
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1f0a416d",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "e3ab122b-a0a0-4ff8-d36a-fc97ada009ec"
      },
      "source": [
        "# Importar la librería ta\n",
        "import ta\n",
        "RSI = ta.momentum.RSIIndicator(df[\"close\"], window=14, fillna=False)\n",
        "RSI"
      ],
      "id": "1f0a416d",
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<ta.momentum.RSIIndicator at 0x7f5409be74d0>"
            ]
          },
          "metadata": {},
          "execution_count": 18
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "364e1dc9"
      },
      "source": [
        "df[\"rsi\"] = RSI.rsi()"
      ],
      "id": "364e1dc9",
      "execution_count": 19,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "22cd8d2f",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 489
        },
        "outputId": "0ed2e4bd-bfb6-442e-ae28-c912e59b92b3"
      },
      "source": [
        "df[\"rsi\"].loc[\"2010\"].plot(figsize=(15,8))"
      ],
      "id": "22cd8d2f",
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f5409b14650>"
            ]
          },
          "metadata": {},
          "execution_count": 20
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1080x576 with 1 Axes>"
            ],
            "image/png": 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          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "IZjAM7-EtPws"
      },
      "source": [
        "# CREACIÓN DE LA FUNCIÓN"
      ],
      "id": "IZjAM7-EtPws"
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "086871b3"
      },
      "source": [
        "def feature_engineering(df):\n",
        "    \"\"\" Crear nuevas variables\"\"\"\n",
        "    \n",
        "    # Copiamos el dataframe para evitar interferencias en los datos\n",
        "    df_copy = df.copy()\n",
        "    \n",
        "    # Creamos el retorno\n",
        "    df_copy[\"returns\"] = df_copy[\"close\"].pct_change(1)\n",
        "\n",
        "    # Creamos las SMAs\n",
        "    df_copy[\"SMA 15\"] = df_copy[[\"close\"]].rolling(15).mean().shift(1)\n",
        "    df_copy[\"SMA 60\"] = df_copy[[\"close\"]].rolling(60).mean().shift(1)\n",
        "    \n",
        "    # Crear la volatilidad\n",
        "    df_copy[\"MSD 10\"] = df_copy[[\"returns\"]].rolling(10).std().shift(1)\n",
        "    df_copy[\"MSD 30\"] = df_copy[[\"returns\"]].rolling(30).std().shift(1)\n",
        "    \n",
        "    # Crear el RSI\n",
        "    RSI = ta.momentum.RSIIndicator(df_copy[\"close\"], window= 14, fillna = False)\n",
        "    df_copy[\"rsi\"] = RSI.rsi()\n",
        "    \n",
        "    return df_copy"
      ],
      "id": "086871b3",
      "execution_count": 21,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "C44X7-P8eNqP",
        "outputId": "043fb092-1302-4dbd-e53b-66a2481333ee"
      },
      "source": [
        "df = yf.download(\"GOOG\")\n",
        "df = df[[\"Adj Close\"]]\n",
        "df.columns = [\"close\"]"
      ],
      "id": "C44X7-P8eNqP",
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\r[*********************100%***********************]  1 of 1 completed\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 455
        },
        "id": "W1Vp9SwA_fa-",
        "outputId": "861a4336-635a-487f-9516-f6ced7c10251"
      },
      "id": "W1Vp9SwA_fa-",
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                  close\n",
              "Date                   \n",
              "2004-08-19    49.982655\n",
              "2004-08-20    53.952770\n",
              "2004-08-23    54.495735\n",
              "2004-08-24    52.239197\n",
              "2004-08-25    52.802086\n",
              "...                 ...\n",
              "2022-06-14  2143.879883\n",
              "2022-06-15  2207.810059\n",
              "2022-06-16  2132.719971\n",
              "2022-06-17  2157.310059\n",
              "2022-06-21  2240.300049\n",
              "\n",
              "[4491 rows x 1 columns]"
            ],
            "text/html": [
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              "      <th>2004-08-19</th>\n",
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              "      <td>54.495735</td>\n",
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              "      <th>2004-08-24</th>\n",
              "      <td>52.239197</td>\n",
              "    </tr>\n",
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              "      <th>2004-08-25</th>\n",
              "      <td>52.802086</td>\n",
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              "      <th>2022-06-14</th>\n",
              "      <td>2143.879883</td>\n",
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              "      <th>2022-06-15</th>\n",
              "      <td>2207.810059</td>\n",
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              "      <th>2022-06-21</th>\n",
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              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-7017831b-10f1-4303-ba20-87c6358a40e9');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 23
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 455
        },
        "id": "8n6A98B-wZMd",
        "outputId": "d7a963df-d2c7-4d8a-9232-8925f3ab11cd"
      },
      "source": [
        "feature_engineering(df)"
      ],
      "id": "8n6A98B-wZMd",
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                  close   returns       SMA 15       SMA 60    MSD 10  \\\n",
              "Date                                                                    \n",
              "2004-08-19    49.982655       NaN          NaN          NaN       NaN   \n",
              "2004-08-20    53.952770  0.079430          NaN          NaN       NaN   \n",
              "2004-08-23    54.495735  0.010064          NaN          NaN       NaN   \n",
              "2004-08-24    52.239197 -0.041408          NaN          NaN       NaN   \n",
              "2004-08-25    52.802086  0.010775          NaN          NaN       NaN   \n",
              "...                 ...       ...          ...          ...       ...   \n",
              "2022-06-14  2143.879883  0.002971  2252.950684  2463.279838  0.023643   \n",
              "2022-06-15  2207.810059  0.029820  2246.987337  2453.410669  0.023166   \n",
              "2022-06-16  2132.719971 -0.034011  2252.940007  2444.714669  0.025773   \n",
              "2022-06-17  2157.310059  0.011530  2254.002002  2433.500834  0.024281   \n",
              "2022-06-21  2240.300049  0.038469  2253.428011  2423.288167  0.024267   \n",
              "\n",
              "              MSD 30        rsi  \n",
              "Date                             \n",
              "2004-08-19       NaN        NaN  \n",
              "2004-08-20       NaN        NaN  \n",
              "2004-08-23       NaN        NaN  \n",
              "2004-08-24       NaN        NaN  \n",
              "2004-08-25       NaN        NaN  \n",
              "...              ...        ...  \n",
              "2022-06-14  0.025323  37.977281  \n",
              "2022-06-15  0.025028  43.980304  \n",
              "2022-06-16  0.025653  39.183187  \n",
              "2022-06-17  0.025173  41.435949  \n",
              "2022-06-21  0.023956  48.384894  \n",
              "\n",
              "[4491 rows x 7 columns]"
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              "      <td>NaN</td>\n",
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              "      <td>NaN</td>\n",
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              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
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              "      <th>2004-08-24</th>\n",
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              "      <td>-0.041408</td>\n",
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              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
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              "      <td>NaN</td>\n",
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              "      <th>2004-08-25</th>\n",
              "      <td>52.802086</td>\n",
              "      <td>0.010775</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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              "      <th>...</th>\n",
              "      <td>...</td>\n",
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              "      <th>2022-06-14</th>\n",
              "      <td>2143.879883</td>\n",
              "      <td>0.002971</td>\n",
              "      <td>2252.950684</td>\n",
              "      <td>2463.279838</td>\n",
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              "      <td>0.029820</td>\n",
              "      <td>2246.987337</td>\n",
              "      <td>2453.410669</td>\n",
              "      <td>0.023166</td>\n",
              "      <td>0.025028</td>\n",
              "      <td>43.980304</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2022-06-16</th>\n",
              "      <td>2132.719971</td>\n",
              "      <td>-0.034011</td>\n",
              "      <td>2252.940007</td>\n",
              "      <td>2444.714669</td>\n",
              "      <td>0.025773</td>\n",
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              "<p>4491 rows × 7 columns</p>\n",
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              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-16d304b8-75cf-4f10-b569-a1d0aa61630c')\"\n",
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              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-16d304b8-75cf-4f10-b569-a1d0aa61630c button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-16d304b8-75cf-4f10-b569-a1d0aa61630c');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
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              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 24
        }
      ]
    }
  ]
}