Stock_Market_Data.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "authorship_tag": "ABX9TyPmsPxNrkA9xJzQHAqspqUX"
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "# Información"
      ],
      "metadata": {
        "id": "1Q_2Ey7KaC6n"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "* https://www.kaggle.com/datasets/paultimothymooney/stock-market-data\n",
        "* https://www.youtube.com/watch?v=wH_ezgftiy0\n",
        "* https://www.influxdata.com/blog/how-convert-timestamp-to-datetime-in-python/\n",
        "* https://www.youtube.com/watch?v=iX_on3VxZzk"
      ],
      "metadata": {
        "id": "l-6mWOkP2aNW"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Imports"
      ],
      "metadata": {
        "id": "HYKChPI24civ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from datetime import date\n",
        "from datetime import datetime"
      ],
      "metadata": {
        "id": "Ijrq1YZ0_ayS"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from matplotlib import pyplot as plt\n",
        "import numpy as np\n",
        "import pandas as pd\n",
        "import seaborn as sns\n",
        "from seaborn import boxplot\n",
        "from scipy import stats"
      ],
      "metadata": {
        "id": "YqUGJOOF4cDB"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.datasets import fetch_california_housing\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.model_selection import cross_val_score\n",
        "from sklearn.model_selection import cross_val_predict\n",
        "from sklearn.preprocessing import StandardScaler"
      ],
      "metadata": {
        "id": "v4jNGyQS4fjg"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.tree import DecisionTreeRegressor\n",
        "from sklearn.linear_model import LinearRegression\n",
        "from sklearn.linear_model import Lasso\n",
        "from sklearn.neighbors import KNeighborsRegressor\n",
        "from sklearn.model_selection import GridSearchCV\n",
        "from sklearn.ensemble import RandomForestClassifier"
      ],
      "metadata": {
        "id": "zWJFpYZh4hHu"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.metrics import r2_score"
      ],
      "metadata": {
        "id": "Wrsgblg3X-84"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from keras.layers import SimpleRNN\n",
        "from keras.layers import GRU\n",
        "from keras.layers import LSTM\n",
        "from keras.layers import Embedding\n",
        "from keras.layers import Dense\n",
        "from keras.layers import Dropout\n",
        "from keras.layers import Bidirectional"
      ],
      "metadata": {
        "id": "EJ1RlEy-4kyY"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import tensorflow as tf"
      ],
      "metadata": {
        "id": "nwcaUi6dOIEz"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Datos"
      ],
      "metadata": {
        "id": "zxJ_LHi34pS2"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "0FPPRLbj2BSC",
        "outputId": "773f588a-fde2-41ea-c7c3-256932710fe6"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Dataset URL: https://www.kaggle.com/datasets/paultimothymooney/stock-market-data\n",
            "License(s): other\n",
            "Downloading stock-market-data.zip to /content\n",
            " 99% 1.03G/1.03G [00:11<00:00, 81.1MB/s]\n",
            "100% 1.03G/1.03G [00:11<00:00, 94.0MB/s]\n"
          ]
        }
      ],
      "source": [
        "!kaggle datasets download -d paultimothymooney/stock-market-data"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!unzip \"stock-market-data\" -d \"data/\""
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1NTMBXM12b_E",
        "outputId": "79d5ea9a-6861-4d3e-a263-7175ba0c361e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[1;30;43mSe truncaron las últimas líneas 5000 del resultado de transmisión.\u001b[0m\n",
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          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!rm \"stock-market-data.zip\""
      ],
      "metadata": {
        "id": "sN0f8UfWBSRP"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Dataframe"
      ],
      "metadata": {
        "id": "RY-Qvpe74vbH"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df_cl = pd.read_csv(\"data/stock_market_data/forbes2000/csv/CL.csv\")"
      ],
      "metadata": {
        "id": "F4WvPgK94XJ2"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Primeros datos"
      ],
      "metadata": {
        "id": "ws8pHuxv5dA9"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df_cl.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "KcmWK49V5SqN",
        "outputId": "faff246f-1182-4d33-813b-2290f4512c94"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "         Date       Low  Open   Volume      High     Close  Adjusted Close\n",
              "0  02-05-1973  1.966146   0.0   672000  2.000000  2.000000        0.467217\n",
              "1  03-05-1973  1.953125   0.0   739200  2.013021  2.005208        0.468434\n",
              "2  04-05-1973  1.989583   0.0  1339200  2.028646  2.000000        0.467217\n",
              "3  07-05-1973  1.984375   0.0   316800  2.015625  1.989583        0.464784\n",
              "4  08-05-1973  1.947917   0.0   619200  1.989583  1.986979        0.464176"
            ],
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              "      <th>1</th>\n",
              "      <td>03-05-1973</td>\n",
              "      <td>1.953125</td>\n",
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              "      <th>2</th>\n",
              "      <td>04-05-1973</td>\n",
              "      <td>1.989583</td>\n",
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              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df_cl",
              "summary": "{\n  \"name\": \"df_cl\",\n  \"rows\": 12515,\n  \"fields\": [\n    {\n      \"column\": \"Date\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 12515,\n        \"samples\": [\n          \"19-09-2022\",\n          \"12-04-2007\",\n          \"28-09-2001\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Low\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 25.944646515087296,\n        \"min\": 0.6875,\n        \"max\": 85.37999725341797,\n        \"num_unique_values\": 4959,\n        \"samples\": [\n          44.25,\n          32.334999084472656,\n          27.28125\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Open\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 26.24560803425807,\n        \"min\": 0.0,\n        \"max\": 86.06999969482422,\n        \"num_unique_values\": 4752,\n        \"samples\": [\n          31.049999237060547,\n          26.700000762939453,\n          2.25\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Volume\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2601719,\n        \"min\": 94400,\n        \"max\": 47013600,\n        \"num_unique_values\": 8875,\n        \"samples\": [\n          16983400,\n          3831300,\n          2901800\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"High\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 26.315489834069894,\n        \"min\": 0.7265629768371582,\n        \"max\": 86.41000366210938,\n        \"num_unique_values\": 4988,\n        \"samples\": [\n          28.295000076293945,\n          29.530000686645508,\n          27.799999237060547\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Close\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 26.132791025523602,\n        \"min\": 0.703125,\n        \"max\": 86.26000213623047,\n        \"num_unique_values\": 5099,\n        \"samples\": [\n          16.65625,\n          24.484375,\n          10.546875\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Adjusted Close\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 23.929413332724724,\n        \"min\": 0.2125632464885711,\n        \"max\": 83.32308197021484,\n        \"num_unique_values\": 8899,\n        \"samples\": [\n          78.03545379638672,\n          2.527472734451294,\n          71.58250427246094\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Información"
      ],
      "metadata": {
        "id": "SR5OUtJ26780"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df_cl.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-dth7Iem5e6f",
        "outputId": "00780d32-193f-4a79-d203-15d986574924"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 12515 entries, 0 to 12514\n",
            "Data columns (total 7 columns):\n",
            " #   Column          Non-Null Count  Dtype  \n",
            "---  ------          --------------  -----  \n",
            " 0   Date            12515 non-null  object \n",
            " 1   Low             12515 non-null  float64\n",
            " 2   Open            12515 non-null  float64\n",
            " 3   Volume          12515 non-null  int64  \n",
            " 4   High            12515 non-null  float64\n",
            " 5   Close           12515 non-null  float64\n",
            " 6   Adjusted Close  12515 non-null  float64\n",
            "dtypes: float64(5), int64(1), object(1)\n",
            "memory usage: 684.5+ KB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Tipo de datos"
      ],
      "metadata": {
        "id": "HztxH4BL6_A5"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df_cl.dtypes"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "LElyWBIk5jLF",
        "outputId": "d88ab66c-5ce1-4f5c-98cd-9709e43b2a93"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Date               object\n",
              "Low               float64\n",
              "Open              float64\n",
              "Volume              int64\n",
              "High              float64\n",
              "Close             float64\n",
              "Adjusted Close    float64\n",
              "dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Forma del Dataframe (filas, columnas)"
      ],
      "metadata": {
        "id": "T-gRlaYu7Cm8"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df_cl.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "4BkkRz515l_h",
        "outputId": "4b9def34-4a99-4a04-b5f8-cc7bb96714bd"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(12515, 7)"
            ]
          },
          "metadata": {},
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Cambiando el tipo de dato de la(s) columna(s)."
      ],
      "metadata": {
        "id": "ys39ibmG7Ggt"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df_cl[\"Date\"] = pd.to_datetime(df_cl['Date'], format='%d-%m-%Y', utc = False)\n",
        "df_cl[\"Date\"] = pd.to_datetime(df_cl[\"Date\"]).dt.date\n",
        "df_cl[\"Date\"] = pd.to_datetime(df_cl[\"Date\"]).dt.normalize()"
      ],
      "metadata": {
        "id": "WWA1TC4-5oSY"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Tipo de datos"
      ],
      "metadata": {
        "id": "w5knYI_f7Mha"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df_cl.dtypes"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "2PWNiVjY7LeV",
        "outputId": "3e64d6f6-758c-4bd1-e300-6245e63632e3"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Date              datetime64[ns]\n",
              "Low                      float64\n",
              "Open                     float64\n",
              "Volume                     int64\n",
              "High                     float64\n",
              "Close                    float64\n",
              "Adjusted Close           float64\n",
              "dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Primeros datos"
      ],
      "metadata": {
        "id": "bAGLukTxEqL_"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df_cl.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "0DZuqu2x738J",
        "outputId": "787fb65e-539c-426b-ecd8-5069c45471a4"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "        Date       Low  Open   Volume      High     Close  Adjusted Close\n",
              "0 1973-05-02  1.966146   0.0   672000  2.000000  2.000000        0.467217\n",
              "1 1973-05-03  1.953125   0.0   739200  2.013021  2.005208        0.468434\n",
              "2 1973-05-04  1.989583   0.0  1339200  2.028646  2.000000        0.467217\n",
              "3 1973-05-07  1.984375   0.0   316800  2.015625  1.989583        0.464784\n",
              "4 1973-05-08  1.947917   0.0   619200  1.989583  1.986979        0.464176"
            ],
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              "type": "dataframe",
              "variable_name": "df_cl",
              "summary": "{\n  \"name\": \"df_cl\",\n  \"rows\": 12515,\n  \"fields\": [\n    {\n      \"column\": \"Date\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": \"1973-05-02 00:00:00\",\n        \"max\": \"2022-12-12 00:00:00\",\n        \"num_unique_values\": 12515,\n        \"samples\": [\n          \"2022-09-19 00:00:00\",\n          \"2007-04-12 00:00:00\",\n          \"2001-09-28 00:00:00\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Low\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 25.944646515087296,\n        \"min\": 0.6875,\n        \"max\": 85.37999725341797,\n        \"num_unique_values\": 4959,\n        \"samples\": [\n          44.25,\n          32.334999084472656,\n          27.28125\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Open\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 26.24560803425807,\n        \"min\": 0.0,\n        \"max\": 86.06999969482422,\n        \"num_unique_values\": 4752,\n        \"samples\": [\n          31.049999237060547,\n          26.700000762939453,\n          2.25\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Volume\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2601719,\n        \"min\": 94400,\n        \"max\": 47013600,\n        \"num_unique_values\": 8875,\n        \"samples\": [\n          16983400,\n          3831300,\n          2901800\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"High\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 26.315489834069894,\n        \"min\": 0.7265629768371582,\n        \"max\": 86.41000366210938,\n        \"num_unique_values\": 4988,\n        \"samples\": [\n          28.295000076293945,\n          29.530000686645508,\n          27.799999237060547\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Close\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 26.132791025523602,\n        \"min\": 0.703125,\n        \"max\": 86.26000213623047,\n        \"num_unique_values\": 5099,\n        \"samples\": [\n          16.65625,\n          24.484375,\n          10.546875\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Adjusted Close\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 23.929413332724724,\n        \"min\": 0.2125632464885711,\n        \"max\": 83.32308197021484,\n        \"num_unique_values\": 8899,\n        \"samples\": [\n          78.03545379638672,\n          2.527472734451294,\n          71.58250427246094\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 18
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Cantidad datos"
      ],
      "metadata": {
        "id": "CMmHu5QWAHp6"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df_cl.count()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "CX4vZUT4AF_-",
        "outputId": "7311e0eb-8c03-4a7c-f9e6-bd8db1331804"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Date              12515\n",
              "Low               12515\n",
              "Open              12515\n",
              "Volume            12515\n",
              "High              12515\n",
              "Close             12515\n",
              "Adjusted Close    12515\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 19
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Cantidad nulos"
      ],
      "metadata": {
        "id": "94Ghn4ezAMKp"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df_cl.isnull().sum()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Q3Uy1aY6AKI9",
        "outputId": "c5727097-b3cc-4081-9e38-62e2805cf3fa"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Date              0\n",
              "Low               0\n",
              "Open              0\n",
              "Volume            0\n",
              "High              0\n",
              "Close             0\n",
              "Adjusted Close    0\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 20
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Descripción columnas"
      ],
      "metadata": {
        "id": "HNPF94nxASCu"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df_cl.describe()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "q7QXS_gTAQsE",
        "outputId": "8d8ccb89-3f40-4d9a-ecef-a6ebf84f256b"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                Date           Low          Open  \\\n",
              "count                          12515  12515.000000  12515.000000   \n",
              "mean   1998-02-11 01:50:06.855773056     25.333094     25.416495   \n",
              "min              1973-05-02 00:00:00      0.687500      0.000000   \n",
              "25%              1985-09-16 12:00:00      1.984375      1.695313   \n",
              "50%              1998-02-02 00:00:00     18.031250     18.281250   \n",
              "75%              2010-07-10 12:00:00     39.537498     39.872499   \n",
              "max              2022-12-12 00:00:00     85.379997     86.070000   \n",
              "std                              NaN     25.944647     26.245608   \n",
              "\n",
              "             Volume          High         Close  Adjusted Close  \n",
              "count  1.251500e+04  12515.000000  12515.000000    12515.000000  \n",
              "mean   3.548345e+06     25.755995     25.553697       20.194641  \n",
              "min    9.440000e+04      0.726563      0.703125        0.212563  \n",
              "25%    2.018800e+06      2.031250      2.007813        0.719475  \n",
              "50%    3.080000e+06     18.593750     18.312500       10.958378  \n",
              "75%    4.442000e+06     40.187500     39.907499       29.760018  \n",
              "max    4.701360e+07     86.410004     86.260002       83.323082  \n",
              "std    2.601720e+06     26.315490     26.132791       23.929413  "
            ],
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              "      <td>12515</td>\n",
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              "      <td>1.251500e+04</td>\n",
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              "      <th>mean</th>\n",
              "      <td>1998-02-11 01:50:06.855773056</td>\n",
              "      <td>25.333094</td>\n",
              "      <td>25.416495</td>\n",
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              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>1985-09-16 12:00:00</td>\n",
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              "      <td>1.695313</td>\n",
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              "      <td>2.031250</td>\n",
              "      <td>2.007813</td>\n",
              "      <td>0.719475</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>1998-02-02 00:00:00</td>\n",
              "      <td>18.031250</td>\n",
              "      <td>18.281250</td>\n",
              "      <td>3.080000e+06</td>\n",
              "      <td>18.593750</td>\n",
              "      <td>18.312500</td>\n",
              "      <td>10.958378</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>2010-07-10 12:00:00</td>\n",
              "      <td>39.537498</td>\n",
              "      <td>39.872499</td>\n",
              "      <td>4.442000e+06</td>\n",
              "      <td>40.187500</td>\n",
              "      <td>39.907499</td>\n",
              "      <td>29.760018</td>\n",
              "    </tr>\n",
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              "      <th>max</th>\n",
              "      <td>2022-12-12 00:00:00</td>\n",
              "      <td>85.379997</td>\n",
              "      <td>86.070000</td>\n",
              "      <td>4.701360e+07</td>\n",
              "      <td>86.410004</td>\n",
              "      <td>86.260002</td>\n",
              "      <td>83.323082</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>NaN</td>\n",
              "      <td>25.944647</td>\n",
              "      <td>26.245608</td>\n",
              "      <td>2.601720e+06</td>\n",
              "      <td>26.315490</td>\n",
              "      <td>26.132791</td>\n",
              "      <td>23.929413</td>\n",
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            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "summary": "{\n  \"name\": \"df_cl\",\n  \"rows\": 8,\n  \"fields\": [\n    {\n      \"column\": \"Date\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": \"1970-01-01 00:00:00.000012515\",\n        \"max\": \"2022-12-12 00:00:00\",\n        \"num_unique_values\": 7,\n        \"samples\": [\n          \"12515\",\n          \"1998-02-11 01:50:06.855773056\",\n          \"2010-07-10 12:00:00\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Low\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 4414.8560466794515,\n        \"min\": 0.6875,\n        \"max\": 12515.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          25.333094253494316,\n          39.537498474121094,\n          12515.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Open\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 4414.823727038904,\n        \"min\": 0.0,\n        \"max\": 12515.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          25.416494518101715,\n          39.87249946594238,\n          12515.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Volume\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 15900503.083839592,\n        \"min\": 12515.0,\n        \"max\": 47013600.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          3548345.4042349183,\n          4442000.0,\n          12515.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"High\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 4414.700192499452,\n        \"min\": 0.7265629768371582,\n        \"max\": 12515.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          25.755995304299695,\n          40.1875,\n          12515.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Close\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 4414.75770696334,\n        \"min\": 0.703125,\n        \"max\": 12515.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          25.553697205161363,\n          39.90749931335449,\n          12515.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Adjusted Close\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 4416.258323921195,\n        \"min\": 0.2125632464885711,\n        \"max\": 12515.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          20.194641307752416,\n          29.760018348693848,\n          12515.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 21
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Gráfico(s)"
      ],
      "metadata": {
        "id": "U3Op-swhDa90"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Mapa de Calor"
      ],
      "metadata": {
        "id": "X2wQKCy7DeM1"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "sns.set(\n",
        "    rc = {\n",
        "        \"figure.figsize\" : (10, 10)\n",
        "    }\n",
        ")\n",
        "\n",
        "sns.heatmap(\n",
        "    df_cl.corr(),\n",
        "    annot = True\n",
        ");"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_2O0L6bBDUh2",
        "outputId": "e1a8fdd3-9f5b-44e6-e109-d3b63da9d8d2"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x1000 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Densidad"
      ],
      "metadata": {
        "id": "fKzMU2e8GMMO"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df_cl[\"Adjusted Close\"].plot.density()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "HWqVY9eEF7ah",
        "outputId": "f934ce28-4e76-4e28-ea78-001f2245f290"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: ylabel='Density'>"
            ]
          },
          "metadata": {},
          "execution_count": 23
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x1000 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_cl[\"Volume\"].plot.density()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "uxTm5EbPGPUU",
        "outputId": "b60fd23a-cde1-4a0e-efdd-c023d9cce347"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: ylabel='Density'>"
            ]
          },
          "metadata": {},
          "execution_count": 24
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x1000 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_cl[\"Open\"].plot.density()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_40lKKPJGazI",
        "outputId": "04a022a5-7b5f-4266-f45b-0723cb52015b"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: ylabel='Density'>"
            ]
          },
          "metadata": {},
          "execution_count": 25
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x1000 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_cl[\"Low\"].plot.density()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "hMsSOON8Ggzf",
        "outputId": "53fa3255-173c-45bb-e895-cdf740d6f556"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: ylabel='Density'>"
            ]
          },
          "metadata": {},
          "execution_count": 26
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x1000 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_cl[\"High\"].plot.density()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "nWdQuDDLGsuH",
        "outputId": "99214b42-591f-41e5-be80-e3312029b4c4"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: ylabel='Density'>"
            ]
          },
          "metadata": {},
          "execution_count": 27
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x1000 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_cl[\"Close\"].plot.density()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "qPfICI0WGxbH",
        "outputId": "d46cf971-f7aa-4896-fae5-b3c5c2472259"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: ylabel='Density'>"
            ]
          },
          "metadata": {},
          "execution_count": 28
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x1000 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Caja"
      ],
      "metadata": {
        "id": "uLDKHszQG51J"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df_cl[\"Adjusted Close\"].plot.box()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "BYPa074VG67d",
        "outputId": "d2c8c78f-a411-4b62-844a-c3e8b7de4755"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: >"
            ]
          },
          "metadata": {},
          "execution_count": 29
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x1000 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_cl[\"Volume\"].plot.box()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "GJbnP-BQHMZw",
        "outputId": "2b200c92-f87d-42bf-f6e6-981510b1e1fc"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: >"
            ]
          },
          "metadata": {},
          "execution_count": 30
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x1000 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_cl[\"Open\"].plot.box()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "03sQb17hHU3w",
        "outputId": "2470c8d2-323e-4566-db33-b14e76ad071e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: >"
            ]
          },
          "metadata": {},
          "execution_count": 31
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x1000 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_cl[\"Low\"].plot.box()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "pzZy1-V5Ha13",
        "outputId": "b24e2dda-803c-4599-9df5-ae2827d194b1"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: >"
            ]
          },
          "metadata": {},
          "execution_count": 32
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x1000 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_cl[\"High\"].plot.box()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "BZGpxmNcHg2H",
        "outputId": "bab22d7c-6a4d-4d55-ff3a-2576b562ae95"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: >"
            ]
          },
          "metadata": {},
          "execution_count": 33
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x1000 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_cl[\"Close\"].plot.box()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "0glGKD3rHlG-",
        "outputId": "9f78cdb8-de01-4fd8-932b-40f00719416f"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: >"
            ]
          },
          "metadata": {},
          "execution_count": 34
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x1000 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# TensorFlow"
      ],
      "metadata": {
        "id": "87sX77j56b4Q"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "variableObjetivo: str = str(\"Adjusted Close\")"
      ],
      "metadata": {
        "id": "OHlc-mQqFKrV"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "listaVarialesCaracterizar: list = []\n",
        "\n",
        "listaVarialesCaracterizar.append(\"Volume\")\n",
        "listaVarialesCaracterizar.append(\"Open\")\n",
        "listaVarialesCaracterizar.append(\"Low\")\n",
        "listaVarialesCaracterizar.append(\"High\")\n",
        "listaVarialesCaracterizar.append(\"Close\")"
      ],
      "metadata": {
        "id": "MevJGTZ5FWqH"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# input_shape: Cantidad de parámetros de entrada.\n",
        "\n",
        "capa1 = tf.keras.layers.Dense(input_shape = [len(listaVarialesCaracterizar)],\n",
        "                              units = int(2))\n",
        "capa2 = tf.keras.layers.Dense(units = int(2))\n",
        "capa3 = tf.keras.layers.Dense(units = int(3))\n",
        "capa4 = tf.keras.layers.Dense(units = int(5))\n",
        "capa5 = tf.keras.layers.Dense(units = int(7))\n",
        "capa6 = tf.keras.layers.Dense(units = int(5))\n",
        "capa7 = tf.keras.layers.Dense(units = int(3))\n",
        "capa8 = tf.keras.layers.Dense(units = int(2))\n",
        "salida = tf.keras.layers.Dense(units = int(1))"
      ],
      "metadata": {
        "id": "LPZHXBcEc0T2"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "model = tf.keras.Sequential([capa1, capa2, capa3, capa4, capa5, capa6, capa7, capa8, salida])"
      ],
      "metadata": {
        "id": "wIQ5aqU5dk49"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "model.compile(optimizer = tf.keras.optimizers.Adam(0.1),\n",
        "              loss = str(\"mean_squared_error\"))"
      ],
      "metadata": {
        "id": "oy94PodIdwS1"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "history = model.fit(df_cl[listaVarialesCaracterizar].to_numpy(),\n",
        "                    df_cl[variableObjetivo].to_numpy(),\n",
        "                    epochs = int(100),\n",
        "                    verbose = False)"
      ],
      "metadata": {
        "id": "enksJBMceS1F"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "plt.xlabel(\"# Época\")\n",
        "plt.ylabel(\"Magnitud de pérdida\")\n",
        "plt.plot(history.history[\"loss\"])\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "wm_-_-_okFmv",
        "outputId": "110efae2-1b00-4b2e-95d2-0a75708f5d84"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x1000 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    }
  ]
}