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    "language_info": {
      "name": "python"
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  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "# Stock Market Forecasting Using Arima , Sarima\n"
      ],
      "metadata": {
        "id": "pmq7nPBosrAT"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "In this notebook, we analyze Google stock price data from June 27, 2024 to June 27, 2025.\n",
        "\n",
        "We'll explore the data for trends, seasonality, and noise, and apply transformations if the series is non-stationary.\n",
        "\n",
        "To forecast the next 30 days, we'll implement both ARIMA and SARIMA models and evaluate their performance using appropriate metrics.\n",
        "\n",
        "---\n",
        "\n"
      ],
      "metadata": {
        "id": "HMGc-3UY_mq6"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Importing necessary libraries\n",
        "import pandas as pd, numpy as np , matplotlib.pyplot as plt, seaborn as sns , plotly.express as px\n",
        "import warnings\n",
        "warnings.filterwarnings('ignore')\n",
        "import yfinance as yf\n",
        "import datetime as dt\n",
        "from datetime import date , timedelta"
      ],
      "metadata": {
        "id": "0ZKlu-dXs1p7"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Define the time period to get data from\n",
        "start = dt.datetime.today() - timedelta(365)\n",
        "start_date = start.strftime(\"%Y-%m-%d\")\n",
        "\n",
        "end = dt.datetime.today()\n",
        "end_date = end.strftime(\"%Y-%m-%d\")\n",
        "# start_date = \"2024-06-27\"\n",
        "# end_date = \"2025-06-27\"\n",
        "print(f\"The data will be between {start_date} to {end_date} \")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "lhCKWAH41xMY",
        "outputId": "e886e44e-84a5-4dd6-b08f-279eade29b48"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "The data will be between 2024-06-30 to 2025-06-30 \n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Getting data from yfinance for a specific ticker\n",
        "ticker = 'GOOGL'\n",
        "df = yf.download(tickers=ticker, start=start_date, end=end_date, progress=False)\n",
        "df.head()"
      ],
      "metadata": {
        "id": "zxHzJeOh16Bg",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 269
        },
        "outputId": "f541b446-a83f-490e-d9b9-856a1b1f20e2"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Price            Close        High         Low        Open    Volume\n",
              "Ticker           GOOGL       GOOGL       GOOGL       GOOGL     GOOGL\n",
              "Date                                                                \n",
              "2024-07-01  182.107864  182.993573  180.426009  182.147665  16006100\n",
              "2024-07-02  184.347015  184.675426  180.684748  181.172391  17372500\n",
              "2024-07-03  184.924210  185.192897  183.112976  183.958885  10242100\n",
              "2024-07-05  189.681168  189.939909  184.904304  184.964013  20967500\n",
              "2024-07-08  188.118729  189.253232  186.874755  188.984530  21035900"
            ],
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              "\n",
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              "      <th>Price</th>\n",
              "      <th>Close</th>\n",
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              "      <th>Ticker</th>\n",
              "      <th>GOOGL</th>\n",
              "      <th>GOOGL</th>\n",
              "      <th>GOOGL</th>\n",
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              "    <tr>\n",
              "      <th>2024-07-01</th>\n",
              "      <td>182.107864</td>\n",
              "      <td>182.993573</td>\n",
              "      <td>180.426009</td>\n",
              "      <td>182.147665</td>\n",
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              "      <th>2024-07-02</th>\n",
              "      <td>184.347015</td>\n",
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              "      <th>2024-07-03</th>\n",
              "      <td>184.924210</td>\n",
              "      <td>185.192897</td>\n",
              "      <td>183.112976</td>\n",
              "      <td>183.958885</td>\n",
              "      <td>10242100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2024-07-05</th>\n",
              "      <td>189.681168</td>\n",
              "      <td>189.939909</td>\n",
              "      <td>184.904304</td>\n",
              "      <td>184.964013</td>\n",
              "      <td>20967500</td>\n",
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              "    <tr>\n",
              "      <th>2024-07-08</th>\n",
              "      <td>188.118729</td>\n",
              "      <td>189.253232</td>\n",
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            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df",
              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 249,\n  \"fields\": [\n    {\n      \"column\": [\n        \"Date\",\n        \"\"\n      ],\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": \"2024-07-01 00:00:00\",\n        \"max\": \"2025-06-27 00:00:00\",\n        \"num_unique_values\": 249,\n        \"samples\": [\n          \"2025-01-16 00:00:00\",\n          \"2024-07-10 00:00:00\",\n          \"2024-11-15 00:00:00\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": [\n        \"Close\",\n        \"GOOGL\"\n      ],\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 13.194162113856923,\n        \"min\": 144.52503967285156,\n        \"max\": 205.89334106445312,\n        \"num_unique_values\": 248,\n        \"samples\": [\n          162.17440795898438,\n          190.25836181640625,\n          170.353759765625\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": [\n        \"High\",\n        \"GOOGL\"\n      ],\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 13.101460626936932,\n        \"min\": 148.76989086061988,\n        \"max\": 206.5617593135444,\n        \"num_unique_values\": 249,\n        \"samples\": [\n          195.01902502838223,\n          190.82562127808606,\n          173.5304796221041\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": [\n        \"Low\",\n        \"GOOGL\"\n      ],\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 13.20504095709579,\n        \"min\": 140.3600753076292,\n        \"max\": 202.33175215943618,\n        \"num_unique_values\": 249,\n        \"samples\": [\n          192.3553231094348,\n          188.11873250198266,\n          170.6207019459313\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": [\n        \"Open\",\n        \"GOOGL\"\n      ],\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 13.049216023545855,\n        \"min\": 141.37884623013926,\n        \"max\": 202.91038629062132,\n        \"num_unique_values\": 249,\n        \"samples\": [\n          193.68218859975212,\n          188.23814915276566,\n          173.1219110429033\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": [\n        \"Volume\",\n        \"GOOGL\"\n      ],\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 15358804,\n        \"min\": 10242100,\n        \"max\": 127490100,\n        \"num_unique_values\": 249,\n        \"samples\": [\n          17815400,\n          15952500,\n          32504600\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 142
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Dropping the multi-level column index to simplify the DataFrame\n",
        "df.columns = df.columns.droplevel(1)"
      ],
      "metadata": {
        "id": "bDfqJDjK2YcS"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Displaying information about the dataframe, including data types and non-null values\n",
        "df.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "uRYbz5G1qLVQ",
        "outputId": "51e106d5-4f05-4acd-d7bf-b6e06346d5ac"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "DatetimeIndex: 249 entries, 2024-07-01 to 2025-06-27\n",
            "Data columns (total 5 columns):\n",
            " #   Column  Non-Null Count  Dtype  \n",
            "---  ------  --------------  -----  \n",
            " 0   Close   249 non-null    float64\n",
            " 1   High    249 non-null    float64\n",
            " 2   Low     249 non-null    float64\n",
            " 3   Open    249 non-null    float64\n",
            " 4   Volume  249 non-null    int64  \n",
            "dtypes: float64(4), int64(1)\n",
            "memory usage: 11.7 KB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Adding a 'Date' column from the index for easier manipulation\n",
        "df[\"Date\"] = df.index"
      ],
      "metadata": {
        "id": "Bt-B6MdkqfaG"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Selecting 'Date' and 'Close' columns and setting 'Date' as the new index\n",
        "df = df[[\"Date\",\"Close\"]]\n",
        "df.reset_index(drop=True, inplace=True)\n",
        "df[\"Date\"] = pd.to_datetime(df[\"Date\"])\n",
        "df.set_index(\"Date\", inplace=True)"
      ],
      "metadata": {
        "collapsed": true,
        "id": "OF7AKVZwIf0h"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Displaying the first few rows after selecting columns and setting the index\n",
        "df.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 238
        },
        "id": "UAw4VZiUI2Dw",
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      },
      "execution_count": null,
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        {
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              "Price            Close\n",
              "Date                  \n",
              "2024-07-01  182.107864\n",
              "2024-07-02  184.347015\n",
              "2024-07-03  184.924210\n",
              "2024-07-05  189.681168\n",
              "2024-07-08  188.118729"
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              "\n",
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            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df",
              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 249,\n  \"fields\": [\n    {\n      \"column\": \"Date\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": \"2024-07-01 00:00:00\",\n        \"max\": \"2025-06-27 00:00:00\",\n        \"num_unique_values\": 249,\n        \"samples\": [\n          \"2025-01-16 00:00:00\",\n          \"2024-07-10 00:00:00\",\n          \"2024-11-15 00:00:00\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Close\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 13.194162113856923,\n        \"min\": 144.52503967285156,\n        \"max\": 205.89334106445312,\n        \"num_unique_values\": 248,\n        \"samples\": [\n          162.17440795898438,\n          190.25836181640625,\n          170.353759765625\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 147
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Renaming the 'Close' column for clarity\n",
        "df.columns = [\"Close\"]"
      ],
      "metadata": {
        "id": "vNIMdCACJryV"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Displaying information about the dataframe after column renaming\n",
        "df.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "24PawapyzlvI",
        "outputId": "95a5c5cc-dcb9-4205-f703-02db70440a61"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "DatetimeIndex: 249 entries, 2024-07-01 to 2025-06-27\n",
            "Data columns (total 1 columns):\n",
            " #   Column  Non-Null Count  Dtype  \n",
            "---  ------  --------------  -----  \n",
            " 0   Close   249 non-null    float64\n",
            "dtypes: float64(1)\n",
            "memory usage: 3.9 KB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Displaying the first few rows after column renaming\n",
        "df.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 238
        },
        "id": "PSTXzzFF1rMF",
        "outputId": "f91c86fb-1d39-4e00-e733-0a5267f40a7a"
      },
      "execution_count": null,
      "outputs": [
        {
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            "text/plain": [
              "                 Close\n",
              "Date                  \n",
              "2024-07-01  182.107864\n",
              "2024-07-02  184.347015\n",
              "2024-07-03  184.924210\n",
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              "                                                    [key], {});\n",
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              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
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              "          + ' to learn more about interactive tables.';\n",
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              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "      <script>\n",
              "        async function quickchart(key) {\n",
              "          const quickchartButtonEl =\n",
              "            document.querySelector('#' + key + ' button');\n",
              "          quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "          quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "          try {\n",
              "            const charts = await google.colab.kernel.invokeFunction(\n",
              "                'suggestCharts', [key], {});\n",
              "          } catch (error) {\n",
              "            console.error('Error during call to suggestCharts:', error);\n",
              "          }\n",
              "          quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "          quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "        }\n",
              "        (() => {\n",
              "          let quickchartButtonEl =\n",
              "            document.querySelector('#df-0b575932-c592-47c6-a1ee-a4be96b0fbcf button');\n",
              "          quickchartButtonEl.style.display =\n",
              "            google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "        })();\n",
              "      </script>\n",
              "    </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df",
              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 249,\n  \"fields\": [\n    {\n      \"column\": \"Date\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": \"2024-07-01 00:00:00\",\n        \"max\": \"2025-06-27 00:00:00\",\n        \"num_unique_values\": 249,\n        \"samples\": [\n          \"2025-01-16 00:00:00\",\n          \"2024-07-10 00:00:00\",\n          \"2024-11-15 00:00:00\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Close\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 13.194162113856923,\n        \"min\": 144.52503967285156,\n        \"max\": 205.89334106445312,\n        \"num_unique_values\": 248,\n        \"samples\": [\n          162.17440795898438,\n          190.25836181640625,\n          170.353759765625\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 150
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Displaying descriptive statistics of the dataframe, such as mean, std, min, max\n",
        "df.describe()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 300
        },
        "collapsed": true,
        "id": "NJyGg_Fk23up",
        "outputId": "0e4dd938-7b87-4186-ecb5-425d7caa161e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "            Close\n",
              "count  249.000000\n",
              "mean   171.371912\n",
              "std     13.194162\n",
              "min    144.525040\n",
              "25%    162.359711\n",
              "50%    168.266296\n",
              "75%    180.147369\n",
              "max    205.893341"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-634c4949-756a-4da6-8036-011d963aba27\" class=\"colab-df-container\">\n",
              "    <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",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Close</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>249.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>171.371912</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>13.194162</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>144.525040</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>162.359711</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>168.266296</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>180.147369</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>205.893341</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-634c4949-756a-4da6-8036-011d963aba27')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\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",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\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-634c4949-756a-4da6-8036-011d963aba27 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-634c4949-756a-4da6-8036-011d963aba27');\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",
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              "\n",
              "\n",
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              "      <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-ec9c00e7-dc5a-4744-b4d9-71e70014fb03')\"\n",
              "                title=\"Suggest charts\"\n",
              "                style=\"display:none;\">\n",
              "\n",
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              "    </g>\n",
              "</svg>\n",
              "      </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "      <script>\n",
              "        async function quickchart(key) {\n",
              "          const quickchartButtonEl =\n",
              "            document.querySelector('#' + key + ' button');\n",
              "          quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "          quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "          try {\n",
              "            const charts = await google.colab.kernel.invokeFunction(\n",
              "                'suggestCharts', [key], {});\n",
              "          } catch (error) {\n",
              "            console.error('Error during call to suggestCharts:', error);\n",
              "          }\n",
              "          quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "          quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "        }\n",
              "        (() => {\n",
              "          let quickchartButtonEl =\n",
              "            document.querySelector('#df-ec9c00e7-dc5a-4744-b4d9-71e70014fb03 button');\n",
              "          quickchartButtonEl.style.display =\n",
              "            google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "        })();\n",
              "      </script>\n",
              "    </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 8,\n  \"fields\": [\n    {\n      \"column\": \"Close\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 68.034171838399,\n        \"min\": 13.194162113856923,\n        \"max\": 249.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          171.37191239322524,\n          168.26629638671875,\n          249.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 151
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Plotting the closing price over time to visualize the trend\n",
        "fig = px.line(df, x=df.index, y=\"Close\", title=f'{ticker} Stock Price')\n",
        "fig.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 542
        },
        "id": "HxCXbuul3DVb",
        "outputId": "e64b868d-5c38-4c2d-89d7-44303704efd6"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<html>\n",
              "<head><meta charset=\"utf-8\" /></head>\n",
              "<body>\n",
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          "metadata": {}
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    },
    {
      "cell_type": "markdown",
      "source": [
        "#Key Findings:\n",
        "\n",
        "The trend appears non-linear and cyclical.\n",
        "\n",
        "There are repeated peaks and troughs, suggesting potential seasonal components.\n",
        "\n",
        "Volatility increases notably after February 2025, as seen in more frequent up-down movements.\n",
        "\n",
        "The series is not strictly stationary , mean and variance seem to change over time.\n",
        "\n",
        "A simple ARIMA model may not capture these dynamics well, reinforcing the need for SARIMA or seasonal decomposition."
      ],
      "metadata": {
        "id": "xRLnzafgA4rk"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Checking for stationarity using the Augmented Dickey-Fuller test\n",
        "from statsmodels.tsa.stattools import adfuller\n",
        "def checking_stationarity(df):\n",
        "    \"\"\"\n",
        "    Performs the Augmented Dickey-Fuller test to check for stationarity.\n",
        "\n",
        "    Parameters:\n",
        "    - df: pandas Series or DataFrame\n",
        "\n",
        "    Prints the ADF statistic, p-value, and whether the series is stationary.\n",
        "    \"\"\"\n",
        "    result = adfuller(df)\n",
        "    print('ADF Statistic: %f' % result[0])\n",
        "    print('p-value: %f' % result[1])\n",
        "    if result[1] <= 0.05:\n",
        "        print('The series is stationary')\n",
        "    else:\n",
        "        print('The series is non-stationary')\n"
      ],
      "metadata": {
        "id": "xpd2M9EO3kcP"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Checking stationarity of the original dataframe using the defined function\n",
        "checking_stationarity(df)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "jNQWUFFz47VY",
        "outputId": "175180e3-aa34-4675-a5a3-02a83acfbab7"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ADF Statistic: -1.877178\n",
            "p-value: 0.342872\n",
            "The series is non-stationary\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Decompose the data to check for trend, seasonality, and noise components\n",
        "from statsmodels.tsa.seasonal import seasonal_decompose\n",
        "result = seasonal_decompose(df, model='additive', period=30)\n",
        "fig = result.plot()\n",
        "fig.set_size_inches(18.5, 10.5)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 747
        },
        "id": "9seeiuSa4-WM",
        "outputId": "af5b0035-f13b-4267-a1b5-329f1ef72fa9"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1850x1050 with 4 Axes>"
            ],
            "image/png": 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          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Clearly depicts a smooth rise starting around October 2024, peaking around January 2025.\n",
        "\n",
        "After that, the trend declines until mid-April and then starts increasing again.\n",
        "This confirms a long-term cyclic pattern in the data.\n",
        "\n",
        "Shows a clear repeating pattern of ups and downs.This supports the use of SARIMA over plain ARIMA, since seasonality is significant\n",
        "\n",
        "Residuals fluctuate randomly around zero, indicating that much of the pattern in the original series has been captured by the trend and seasonality components."
      ],
      "metadata": {
        "id": "QoH4PVlnBnfw"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Plotting ACF and PACF for original and differenced series to determine ARIMA orders\n",
        "from statsmodels.graphics.tsaplots import plot_acf,plot_pacf\n",
        "fig,axes = plt.subplots(3,2, figsize=(20,8))\n",
        "axes[0,0].plot(df)\n",
        "axes[0,0].set_title(\"Original Series\")\n",
        "plot_acf(df, ax=axes[0,1])\n",
        "\n",
        "# Ist order differencing\n",
        "axes[1,0].plot(df.diff())\n",
        "axes[1,0].set_title(\"Ist Order differencing\")\n",
        "plot_acf(df.diff().dropna(),ax=axes[1,1])\n",
        "\n",
        "# 2nd order differencing\n",
        "axes[2,0].plot(df.diff().diff())\n",
        "axes[2,0].set_title(\"2nd Order differencing\")\n",
        "plot_acf(df.diff().diff().dropna(),ax=axes[2,1])\n",
        "\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 544
        },
        "id": "uK6UWj5h-kl4",
        "outputId": "48b49b99-49ad-41df-eb28-6748fa6e2f0f"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2000x800 with 6 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Checking stationarity after first order differencing to confirm the required differencing order\n",
        "checking_stationarity(df.diff().dropna())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "RVkEDJ1wOPrD",
        "outputId": "9eff0672-a499-40eb-a27e-4c2fb3f9aab3"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ADF Statistic: -9.589700\n",
            "p-value: 0.000000\n",
            "The series is stationary\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Setting the value for d (order of differencing) based on stationarity test\n",
        "d = 1"
      ],
      "metadata": {
        "id": "HK-yvNxsO7np"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#Calculating value of p"
      ],
      "metadata": {
        "id": "bNx6ictHmPAX"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Plotting PACF and printing values to determine p (order of the AR component)\n",
        "from statsmodels.graphics.tsaplots import plot_pacf, plot_acf\n",
        "from statsmodels.tsa.stattools import acf , pacf\n",
        "plot_acf(df, alpha=0.05)\n",
        "\n",
        "x_acf = pd.DataFrame(acf(df))\n",
        "print(x_acf)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 886
        },
        "id": "8WM_sHA5mS27",
        "outputId": "03090bbd-d864-482c-fbac-e3ad83a3485c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "           0\n",
            "0   1.000000\n",
            "1   0.963706\n",
            "2   0.926248\n",
            "3   0.886711\n",
            "4   0.856026\n",
            "5   0.835808\n",
            "6   0.815708\n",
            "7   0.790997\n",
            "8   0.765373\n",
            "9   0.735781\n",
            "10  0.702267\n",
            "11  0.675402\n",
            "12  0.650610\n",
            "13  0.628204\n",
            "14  0.602498\n",
            "15  0.575405\n",
            "16  0.543247\n",
            "17  0.517843\n",
            "18  0.496655\n",
            "19  0.472950\n",
            "20  0.457416\n",
            "21  0.439475\n",
            "22  0.425234\n",
            "23  0.406512\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Setting the value for p based on PACF plot\n",
        "p = 2"
      ],
      "metadata": {
        "id": "BBOQgRFEmnmj"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#Finding q\n",
        "x_pacf = pd.DataFrame(pacf(df))\n",
        "print(x_pacf)\n",
        "plot_pacf(df, alpha=0.05)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "lzi0yZcvncal",
        "outputId": "52b151c3-8b3b-432d-8a7b-54843a3f0e6a"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "           0\n",
            "0   1.000000\n",
            "1   0.967592\n",
            "2  -0.038980\n",
            "3  -0.054411\n",
            "4   0.119494\n",
            "5   0.146996\n",
            "6  -0.027264\n",
            "7  -0.086313\n",
            "8   0.015511\n",
            "9  -0.050371\n",
            "10 -0.108320\n",
            "11  0.077588\n",
            "12  0.015666\n",
            "13 -0.022183\n",
            "14 -0.078658\n",
            "15  0.007962\n",
            "16 -0.082800\n",
            "17  0.074218\n",
            "18  0.052392\n",
            "19 -0.103213\n",
            "20  0.118669\n",
            "21  0.002291\n",
            "22  0.052672\n",
            "23 -0.094666\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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tWrSoXuX37dunoUOH6sYbb1ReXp6mTp2qe+65Rxs2bHCWWb16tdLT0zV37lxt27ZNvXv3VkpKynkfcw4AAC4eTXYXlcVi0dq1azVs2LBay8yYMUP//Oc/XZ42OmrUKBUXFysrK0vS2e+z+eUvf6kXXnhB0tmno0ZFRemBBx7QzJkzPboNAACgZfCqB/3l5uYqOTnZZVpKSoqmTp0qSTp16pS2bt2qWbNmOef7+PgoOTm52hM9f6qiosLlSwvPfRtv+/btG/RocwAA0HwMw9APP/ygyMjI8z5406sCjt1uV3h4uMu08PBwORwOnThxQt9//70qKytrLHPuu2JqkpGRoXnz5nmkzQAAoGkdPHhQl19+eZ1lvCrgeMqsWbOUnp7ufF9SUqIrrrhCBw8eVGBgYKPr/5+N/6dln+1XZVX1q32+PhaN6xuth351VaPXAwDAxczhcCgqKkqXXnrpect6VcCx2WwqLCx0mVZYWKjAwEAFBATI19dXvr6+NZax2Wy11mu1Wl2+mfmcwMBAtwScMf27a/mXhfKpYTSTxSKN7d9dgYFt613fvqNlev3Lgzr0/Qld3i5Ad/aJUqcO9V8eAAAzq8/wEq96Dk5SUpKys7Ndpm3cuFFJSUmSJD8/P8XHx7uUqaqqUnZ2trNMc+jUoa2eHt5LPj/Z374Wi3ws0tPDeym6AeHk9S8PauCfcrT4o7365/bDWvzRXg38U47WfHnQAy0HAMCcPBpwSktLlZeXp7y8PElnbwPPy8vTgQMHJJ29dDRmzBhn+fvuu0979+7V9OnTtXPnTv31r3/V66+/roceeshZJj09XS+99JKWL1+uHTt2aPLkySorK9P48eM9uSnnNaJPlP754HXO9+Ovi9amaQM0ok/N36pck31HyzTzH9tVZUiVVYbLvzP+sV37j5Z5oukAAJiORy9Rffnll7rxxhud78+Ngxk7dqyWLVumgoICZ9iRpE6dOumf//ynHnroIf35z3/W5Zdfrr///e9KSUlxlhk5cqSOHDmiOXPmyG63Ky4uTllZWdUGHjeHju1/7KlJ/9VVauPXsN37+pcHz3a71XDnvsVi0eovD2pGardGtxMAALPzaMAZMGCA6nrMTk1PKR4wYID+/e9/11lvWlqa0tLSGts8r3Po+xO17i/DMHTo+xNN3CIAAFomrxqDc7G7vF1ArQOnLBaLLm8X0MQtAgCgZSLgeJE7+0TV2YMzsgHjeQAAuJgRcLyIO+/GAgDgYuZVz8HB2buxelwWqMF//kTS2buxfpPYkXADAEADEHC8UGPvxgIA4GLHJSoAAGA6BBwAAGA6BBwAAGA6BBwAAGA6BBwAAGA6BBwAAGA6BBwAAGA6BBwAAGA6BBwAAGA6BBwAAGA6BBwAAGA6BBwAAGA6BBwAAGA6BBwAAGA6BBwAAGA6BBwAAGA6BBwAAGA6BBwAAGA6BBwAAGA6BBwAAGA6BBwAAGA6BBwAAGA6BBwAAGA6BBwAAGA6BBwAAGA6BBwAAGA6BBwAAGA6BBwAAGA6BBwAAGA6BBwAAGA6TRJwFi1apOjoaPn7+ysxMVFbtmypteyAAQNksViqvYYOHeosM27cuGrzU1NTm2JTAABAC9DK0ytYvXq10tPTlZmZqcTERC1cuFApKSnKz89XWFhYtfJvvvmmTp065Xx/7Ngx9e7dWyNGjHApl5qaqqVLlzrfW61Wz20EAABoUTzeg7NgwQJNnDhR48ePV2xsrDIzM9WmTRstWbKkxvIhISGy2WzO18aNG9WmTZtqAcdqtbqUa9eunac3BQAAtBAeDTinTp3S1q1blZyc/OMKfXyUnJys3NzcetXx8ssva9SoUWrbtq3L9JycHIWFhalr166aPHmyjh07VmsdFRUVcjgcLi8AAGBeHg04R48eVWVlpcLDw12mh4eHy263n3f5LVu26Ouvv9Y999zjMj01NVWvvPKKsrOz9fTTT+vDDz/U4MGDVVlZWWM9GRkZCgoKcr6ioqIufKMAAIDX8/gYnMZ4+eWX1bNnTyUkJLhMHzVqlPPnnj17qlevXurcubNycnI0cODAavXMmjVL6enpzvcOh4OQAwCAiXm0B6dDhw7y9fVVYWGhy/TCwkLZbLY6ly0rK9OqVas0YcKE864nJiZGHTp00O7du2ucb7VaFRgY6PICAADm5dGA4+fnp/j4eGVnZzunVVVVKTs7W0lJSXUuu2bNGlVUVOg3v/nNeddz6NAhHTt2TBEREY1uMwAAaPk8fhdVenq6XnrpJS1fvlw7duzQ5MmTVVZWpvHjx0uSxowZo1mzZlVb7uWXX9awYcPUvn17l+mlpaV65JFH9Pnnn2v//v3Kzs7Wbbfdpi5duiglJcXTmwMAAFoAj4/BGTlypI4cOaI5c+bIbrcrLi5OWVlZzoHHBw4ckI+Pa87Kz8/XJ598ovfee69afb6+vtq+fbuWL1+u4uJiRUZGatCgQZo/fz7PwgEAAJKaaJBxWlqa0tLSapyXk5NTbVrXrl1lGEaN5QMCArRhwwZ3Ng8AAJgM30UFAABMh4ADAABMh4ADAABMh4ADAABMh4ADAABMh4ADAABMh4ADAABMh4ADAABMh4ADAABMh4ADAABMh4ADAABMh4ADAABMh4ADAABMh4ADAABMh4ADAABMh4ADAABMh4ADAABMh4ADAABMh4ADAABMh4ADAABMh4ADAABMh4ADAABMh4ADAABMh4ADAABMh4ADAABMh4ADAABMh4ADAABMh4ADAABMh4ADAABMh4ADAABMh4ADAABMh4ADAABMh4ADAABMh4ADAABMh4ADAABMp0kCzqJFixQdHS1/f38lJiZqy5YttZZdtmyZLBaLy8vf39+ljGEYmjNnjiIiIhQQEKDk5GTt2rXL05sBAABaCI8HnNWrVys9PV1z587Vtm3b1Lt3b6WkpKioqKjWZQIDA1VQUOB8ffvtty7zn3nmGT3//PPKzMzU5s2b1bZtW6WkpOjkyZOe3hwAANACeDzgLFiwQBMnTtT48eMVGxurzMxMtWnTRkuWLKl1GYvFIpvN5nyFh4c75xmGoYULF+qxxx7Tbbfdpl69eumVV17R4cOH9dZbb3l6cwAAQAvg0YBz6tQpbd26VcnJyT+u0MdHycnJys3NrXW50tJSdezYUVFRUbrtttv0zTffOOft27dPdrvdpc6goCAlJibWWmdFRYUcDofLCwAAmJdHA87Ro0dVWVnp0gMjSeHh4bLb7TUu07VrVy1ZskRvv/22Xn31VVVVValv3746dOiQJDmXa0idGRkZCgoKcr6ioqIau2kAAMCLed1dVElJSRozZozi4uLUv39/vfnmmwoNDdXf/va3C65z1qxZKikpcb4OHjzoxhYDAABv49GA06FDB/n6+qqwsNBlemFhoWw2W73qaN26ta655hrt3r1bkpzLNaROq9WqwMBAlxcAADAvjwYcPz8/xcfHKzs72zmtqqpK2dnZSkpKqlcdlZWV+s9//qOIiAhJUqdOnWSz2VzqdDgc2rx5c73rBAAA5tbK0ytIT0/X2LFj1adPHyUkJGjhwoUqKyvT+PHjJUljxozRZZddpoyMDEnSE088oWuvvVZdunRRcXGxnn32WX377be65557JJ29w2rq1Kl68skndeWVV6pTp06aPXu2IiMjNWzYME9vDgAAaAE8HnBGjhypI0eOaM6cObLb7YqLi1NWVpZzkPCBAwfk4/NjR9L333+viRMnym63q127doqPj9dnn32m2NhYZ5np06errKxMkyZNUnFxsa677jplZWVVeyAgAAC4OFkMwzCauxFNzeFwKCgoSCUlJW4dj1N+6oxi52yQJP33iRS18buw/OiuegAAMJOGnL+97i4qAACAxiLgAAAA0yHgAAAA0yHgAAAA0yHgAAAA0yHgAAAA0yHgAAAA0yHgAAAA0yHgAAAA0yHgAAAA0yHgAAAA0yHgAAAA0yHgAAAA0yHgAAAA0yHgAAAA0yHgAAAA0yHgAAAA0yHgAAAA0yHgAAAA0yHgAAAA0yHgAAAA0yHgAAAA0yHgAAAA0yHgAAAA0yHgAAAA0yHgAAAA0yHgAAAA0yHgAAAA0yHgAAAA0yHgAAAA0yHgAAAA0yHgAAAA0yHgAAAA0yHgAAAA0yHgAAAA02mSgLNo0SJFR0fL399fiYmJ2rJlS61lX3rpJV1//fVq166d2rVrp+Tk5Grlx40bJ4vF4vJKTU319GYAAIAWwuMBZ/Xq1UpPT9fcuXO1bds29e7dWykpKSoqKqqxfE5Oju666y598MEHys3NVVRUlAYNGqTvvvvOpVxqaqoKCgqcr9dee83TmwIAAFoIjwecBQsWaOLEiRo/frxiY2OVmZmpNm3aaMmSJTWWX7Fihe6//37FxcWpW7du+vvf/66qqiplZ2e7lLNarbLZbM5Xu3btPL0pAACghfBowDl16pS2bt2q5OTkH1fo46Pk5GTl5ubWq47y8nKdPn1aISEhLtNzcnIUFhamrl27avLkyTp27FitdVRUVMjhcLi8AACAeXk04Bw9elSVlZUKDw93mR4eHi673V6vOmbMmKHIyEiXkJSamqpXXnlF2dnZevrpp/Xhhx9q8ODBqqysrLGOjIwMBQUFOV9RUVEXvlEAAMDrtWruBtTlj3/8o1atWqWcnBz5+/s7p48aNcr5c8+ePdWrVy917txZOTk5GjhwYLV6Zs2apfT0dOd7h8NByAEAwMQ82oPToUMH+fr6qrCw0GV6YWGhbDZbncs+99xz+uMf/6j33ntPvXr1qrNsTEyMOnTooN27d9c432q1KjAw0OUFAADMy6MBx8/PT/Hx8S4DhM8NGE5KSqp1uWeeeUbz589XVlaW+vTpc971HDp0SMeOHVNERIRb2g0AAFo2j99FlZ6erpdeeknLly/Xjh07NHnyZJWVlWn8+PGSpDFjxmjWrFnO8k8//bRmz56tJUuWKDo6Wna7XXa7XaWlpZKk0tJSPfLII/r888+1f/9+ZWdn67bbblOXLl2UkpLi6c0BAAAtgMfH4IwcOVJHjhzRnDlzZLfbFRcXp6ysLOfA4wMHDsjH58ec9eKLL+rUqVO64447XOqZO3euHn/8cfn6+mr79u1avny5iouLFRkZqUGDBmn+/PmyWq2e3hwAANACNMkg47S0NKWlpdU4Lycnx+X9/v3766wrICBAGzZscFPLAACAGfFdVAAAwHQIOAAAwHQIOAAAwHQIOAAAwHQIOAAAwHQIOAAAwHQIOAAAwHQIOAAAwHQIOAAAwHQIOAAAwHQIOAAAwHQIOAAAwHSa5Ms2AU/Yd7RMr395UIe+P6HL2wXozj5R6tShbXM3CwDgBQg4aJFe//KgZv5juywWiwzDkMVi0d8+3KOnh/fSiD5Rzd08AEAz4xIVWpx9R8s08x/bVWVIlVWGy78z/rFd+4+WNXcTAQDNjICDFuf1Lw/KYrHUOM9isWj1lwebuEUAAG/DJSo0KXeMmzn0/QkZhlHjPMMwdOj7E+5oKgCgBSPgNJPcPcdqnXfydKXz5817j8u/tW9TNMnjcvKLtPjjvbJIMiRZJGV+uEf33hCj/leF1buemvtuXOfXtX8BAJ6X1Ll9s66fgIMmUVByQos/3ivDOBtupB///dtHe9U1PFC2IP961TWga6jWbT9c4zxD0o1d6x+WAEA6+zsqJ/+IjpRWKPQSqwZ0DVVEUEBzNwuNwBgcNImc/CO19rxYJH2QX1TvuiKCAnTvDTH66TAcH4tksUj33hBT76AEANLZ3uVpa77S+u2H9fneY1q//bCmrflKH/5f/X8vwfvQg4MmcaS0QjWPmjnb63KktKJB9fW/KkzR7dtq5pv/kSSl9rDpV91thBsADeLO3mV4F3pw0CRCL7HW2YMTeom1wXWGB/74S2dEfBS/hAA0mDt7l+FdCDhoEgO6htbZg8O4GQDNwd29y/AeXKJCkzg3buZvH53tCpbOjpsxxLiZiw2DOeFNzvUu1xRyLrR3Gd6BgIMmw7gZ1PSogHXbDzf4UQFoHmYMp9yVaV4EHDSpn4+bMcszfnB+DOZs2cwaTuldNi/G4ABoEgzmbLl+Gk6rDLn8+7eP9specrK5m9go/a8KU8btPZ3vU3vYtGBEXIsObqAHB0ATYTBny3UunNY2TuWD/CLdlXBFE7fKvbyxd9mMlwSbEgEHQJNgMGfL5e5wyon7/Mx6SbApEXAANAkGc7Zc7gynnLjPj/Fq7sEYHABNgq/YaLnc9Rwrs4/lcRfGq7kHAQdAk2EwZ8vkrnDKibt+GK/mHlyiAtCkvHEwJ87PHc+x4sRdP4xXcw8CDoAWiYGqTa+x4ZQTd/0wXs09CDiAF+LkXTcGqrZMnLjrh4cPugcBB/AynLzrdrHcYWLGkMuJu/74apvGa5JBxosWLVJ0dLT8/f2VmJioLVu21Fl+zZo16tatm/z9/dWzZ0+9++67LvMNw9CcOXMUERGhgIAAJScna9euXZ7cBKBJcJfJ+V0MA1Vz8os0bc1XWr/9sD7fe0zrtx/WtDVf6cP/a/nbZvaB5gUlJ/TalgN6ftMuvbblgApKTlxwXT+/JEi4aRiP9+CsXr1a6enpyszMVGJiohYuXKiUlBTl5+crLKz6Af3ZZ5/prrvuUkZGhm6++WatXLlSw4YN07Zt29SjRw9J0jPPPKPnn39ey5cvV6dOnTR79mylpKTov//9r/z9638AlJ86o1anzrhtW8t/Ulf5eeo9ebqy1nkVP5lXUUe5lsid22bG/fT+jsI6xyhs3GHXiPioJm6VezX2cyt0nKxzoGqh42Sd/7+8nd1xss4equj2bV1OfE3JXf/nggNaO3++tVekrK19m/0zc8e2fbzriJZ+tr9a7+vv+nbSdVd2aJY2NafznQc9XafFMIzafle4RWJion75y1/qhRdekCRVVVUpKipKDzzwgGbOnFmt/MiRI1VWVqb169c7p1177bWKi4tTZmamDMNQZGSkpk2bpocffliSVFJSovDwcC1btkyjRo2qVmdFRYUqKn4cne9wOBQVFaWoqa/Lx9rG3ZsMAAA8oKqiXAcX3qmSkhIFBgbWWdajl6hOnTqlrVu3Kjk5+ccV+vgoOTlZubm5NS6Tm5vrUl6SUlJSnOX37dsnu93uUiYoKEiJiYm11pmRkaGgoCDnKyqqZf8FDAAA6ubRS1RHjx5VZWWlwsPDXaaHh4dr586dNS5jt9trLG+3253zz02rrczPzZo1S+np6c7353pwtvx/A8+bAD1l897jHl9HxelK3bdimyQpc/QvZG3E80bcWZc3+XjXES39dL/zEsC5AY8X0qXsjn1kd5zUo2v/o5r6VS0WKeP2ng26PGHWY+CTXUe15LN9LpcCLuRz88b9vWbrQWV9bVdVDW3ysZwds9KQy5Te9Lm5mzdtW+aHe7Rl//Faj6WE6BDd179z0zdM7ttPDa0nMSbkgtZTF4fDoYiF9St7UdxFZbVaZbVWf75CG79WauPXPLugqR9uZm3t67Z1urOu5lRQckJLP9vvMp7j3EllyWf71OOyoAse1Heh+yi6fVvnXSY/P3nfe0OMOrZve0HtaUybPF3XhUiODVePy4L0QX6R8y6jG7uGNfjzyt1zrM4xT5/tOXbB35J9ofsouXu4/vV1zX+sGZJ+1d12wfu+uT83T2rubQsP9K/zWAoP9PeKfe+u/VSfejxxfj3TgDo9enbv0KGDfH19VVhY6DK9sLBQNputxmVsNlud5c/9W1hYqIiICJcycXFxbmx9y2d3/HjHzZqtB5XcPbzF32bqTufuxqntF9IH+UUXfHJrjP5XhalreGCjT95mZwvyb/Tn441P1v3prdQ1hVyOA+/EM368j0fH4Pj5+Sk+Pl7Z2dnOaVVVVcrOzlZSUlKNyyQlJbmUl6SNGzc6y3fq1Ek2m82ljMPh0ObNm2ut82KUk1+kR9f+x/k+62u7aW4zdRdvPLmdc+7k/eBNV+quhCs4qXnIuSfr1qQ5n6zb/6owLRgRp5t7ReramPa6uVekqW6lNqOffl/Xue/p4stkm5fHr8+kp6dr7Nix6tOnjxISErRw4UKVlZVp/PjxkqQxY8bosssuU0ZGhiTp97//vfr3768//elPGjp0qFatWqUvv/xSixcvliRZLBZNnTpVTz75pK688krnbeKRkZEaNmyYpzenRfjps1TOOXfp5UIfhGbG3qCL4bHxZvzc3Mmb/+p2Rw8Vmha9r97F4wFn5MiROnLkiObMmSO73a64uDhlZWU5BwkfOHBAPj4/diT17dtXK1eu1GOPPaZHH31UV155pd566y3nM3Akafr06SorK9OkSZNUXFys6667TllZWQ16Bo6ZufvSy7kn656T9bVd//ra3uKfrOvNJzd3MOvn5k5cDoK7EUy9R5OMsE1LS1NaWlqN83JycqpNGzFihEaMGFFrfRaLRU888YSeeOIJdzXRVNx56cUTvUHewswnNzN/bu7GX92AOV0Ud1FdbNx56cVbB+K6i1lPbmb/3NzNXX91c0kQ8B4EHBNy56UXbx6I6y5m7FK+GD43b8MlQcC7NMmXbaJpuXM0v7feZeKNfv7Xe2O+ZK+x+NyaVm2XBL3hS1K96bhE83DXMdDSjiUCjkm56zbTAV1D6+wJaOkDcd3F227L53NrWt76Defedlyi6bnrGGiJxxIBx8Tc8SwVnu1wft741zufW9PyxkuC3nhcultL61Foau46BlrqscQYHJyXWQfiuou3Duh19+fGANraeeMzlbz1uHQXxjydn7uOgZZ6LBFwUC9mHIjrLt741/s57vrcOJnUzRufqeTNx2Vj8RiE+nHXMdBSjyUuUQGNZPYBvS21e7opeeMlQTMfl9465snbuOsYaKnHEgEHaCSzD+jlZFI/3vb9UWY+Lltqj0JTc9cx0FKPJQIO0Eje+Ne7O3EyqT9v+pJUMx+XLbVHoam56xhoqccSY3AANzDzQGxvHECL+jHrcemNY568lbuOgZZ4LFkMw6jtjzPTcjgcCgoKUklJiQIDA5ulDbl7jjXLeoGGKig5oWlrvlJNvyksFmnBiDiv/iUHc/rw/4pq/R45Br57h6TO7d1eZ0PO3/TgAKiTmb+UFC1XS+xRQNMi4AA4L04m8EY8vgJ1IeAAqBdOJgBaEgJOM/HEtUkAAHAWt4kDAADTIeAAAADTIeAAAADTIeAAAADTIeAAAADTIeAAAADTIeAAAADTIeAAAADTIeAAAADTIeAAAADTIeAAAADTIeAAAADTIeAAAADTIeAAAADTIeAAAADTIeAAAADTIeAAAADTIeAAAADTIeAAAADT8WjAOX78uEaPHq3AwEAFBwdrwoQJKi0trbP8Aw88oK5duyogIEBXXHGFHnzwQZWUlLiUs1gs1V6rVq3y5KYAAIAWpJUnKx89erQKCgq0ceNGnT59WuPHj9ekSZO0cuXKGssfPnxYhw8f1nPPPafY2Fh9++23uu+++3T48GG98cYbLmWXLl2q1NRU5/vg4GBPbgoAAGhBLIZhGJ6oeMeOHYqNjdUXX3yhPn36SJKysrI0ZMgQHTp0SJGRkfWqZ82aNfrNb36jsrIytWp1No9ZLBatXbtWw4YNu6C2ORwOBQUFqaSkRIGBgRdUBwAAaFoNOX977BJVbm6ugoODneFGkpKTk+Xj46PNmzfXu55zG3Eu3JwzZcoUdejQQQkJCVqyZInqymkVFRVyOBwuLwAAYF4eu0Rlt9sVFhbmurJWrRQSEiK73V6vOo4ePar58+dr0qRJLtOfeOIJ3XTTTWrTpo3ee+893X///SotLdWDDz5YYz0ZGRmaN2/ehW0IAABocRrcgzNz5swaB/n+9LVz585GN8zhcGjo0KGKjY3V448/7jJv9uzZ6tevn6655hrNmDFD06dP17PPPltrXbNmzVJJSYnzdfDgwUa3DwAAeK8G9+BMmzZN48aNq7NMTEyMbDabioqKXKafOXNGx48fl81mq3P5H374Qampqbr00ku1du1atW7dus7yiYmJmj9/vioqKmS1WqvNt1qtNU4HAADm1OCAExoaqtDQ0POWS0pKUnFxsbZu3ar4+HhJ0qZNm1RVVaXExMRal3M4HEpJSZHVatU777wjf3//864rLy9P7dq1I8QAAABJHhyD0717d6WmpmrixInKzMzU6dOnlZaWplGjRjnvoPruu+80cOBAvfLKK0pISJDD4dCgQYNUXl6uV1991WVAcGhoqHx9fbVu3ToVFhbq2muvlb+/vzZu3KinnnpKDz/8sKc2BQAAtDAefQ7OihUrlJaWpoEDB8rHx0fDhw/X888/75x/+vRp5efnq7y8XJK0bds25x1WXbp0calr3759io6OVuvWrbVo0SI99NBDMgxDXbp00YIFCzRx4kRPbgoAAGhBPPYcHG/Gc3AAAGh5vOI5OAAAAM2FgAMAAEyHgAMAAEyHgAMAAEyHgAMAAEyHgAMAAEyHgAMAAEyHgAMAAEyHgAMAAEyHgAMAAEyHgAMAAEyHgAMAAEyHgAMAAEyHgAMAAEyHgAMAAEyHgAMAAEyHgAMAAEyHgAMAAEyHgAMAAEyHgAMAAEyHgAMAAEyHgAMAAEyHgAMAAEyHgAMAAEyHgAMAAEyHgAMAAEyHgAMAAEyHgAMAAEyHgAMAAEyHgAMAAEyHgAMAAEyHgAMAAEyHgAMAAEyHgAMAAEyHgAMAAEzHowHn+PHjGj16tAIDAxUcHKwJEyaotLS0zmUGDBggi8Xi8rrvvvtcyhw4cEBDhw5VmzZtFBYWpkceeURnzpzx5KYAAIAWpJUnKx89erQKCgq0ceNGnT59WuPHj9ekSZO0cuXKOpebOHGinnjiCef7Nm3aOH+urKzU0KFDZbPZ9Nlnn6mgoEBjxoxR69at9dRTT3lsWwAAQMthMQzD8ETFO3bsUGxsrL744gv16dNHkpSVlaUhQ4bo0KFDioyMrHG5AQMGKC4uTgsXLqxx/r/+9S/dfPPNOnz4sMLDwyVJmZmZmjFjho4cOSI/P7/zts3hcCgoKEglJSUKDAy8sA0EAABNqiHnb49dosrNzVVwcLAz3EhScnKyfHx8tHnz5jqXXbFihTp06KAePXpo1qxZKi8vd6m3Z8+eznAjSSkpKXI4HPrmm29qrK+iokIOh8PlBQAAzMtjl6jsdrvCwsJcV9aqlUJCQmS322td7u6771bHjh0VGRmp7du3a8aMGcrPz9ebb77prPen4UaS831t9WZkZGjevHmN2RwAANCCNDjgzJw5U08//XSdZXbs2HHBDZo0aZLz5549eyoiIkIDBw7Unj171Llz5wuqc9asWUpPT3e+dzgcioqKuuA2AgAA79bggDNt2jSNGzeuzjIxMTGy2WwqKipymX7mzBkdP35cNput3utLTEyUJO3evVudO3eWzWbTli1bXMoUFhZKUq31Wq1WWa3Weq8TAAC0bA0OOKGhoQoNDT1vuaSkJBUXF2vr1q2Kj4+XJG3atElVVVXO0FIfeXl5kqSIiAhnvX/4wx9UVFTkvAS2ceNGBQYGKjY2toFbAwAAzMhjg4y7d++u1NRUTZw4UVu2bNGnn36qtLQ0jRo1ynkH1Xfffadu3bo5e2T27Nmj+fPna+vWrdq/f7/eeecdjRkzRjfccIN69eolSRo0aJBiY2P129/+Vl999ZU2bNigxx57TFOmTKGXBgAASPLwg/5WrFihbt26aeDAgRoyZIiuu+46LV682Dn/9OnTys/Pd94l5efnp/fff1+DBg1St27dNG3aNA0fPlzr1q1zLuPr66v169fL19dXSUlJ+s1vfqMxY8a4PDcHAABc3Dz2HBxvxnNwAABoebziOTgAAADNhYADAABMh4ADAABMh4ADAABMh4ADAABMh4ADAABMh4ADAABMh4ADAABMh4ADAABMh4ADAABMh4ADAABMh4ADAABMh4ADAABMh4ADAABMh4ADAABMh4ADAABMh4ADAABMh4ADAABMh4ADAABMh4ADAABMh4ADAABMh4ADAABMh4ADAABMh4ADAABMh4ADAABMh4ADAABMh4ADAABMh4ADAABMh4ADAABMh4ADAABMh4ADAABMh4ADAABMh4ADAABMh4ADAABMh4ADAABMx6MB5/jx4xo9erQCAwMVHBysCRMmqLS0tNby+/fvl8ViqfG1Zs0aZ7ma5q9atcqTmwIAAFqQVp6sfPTo0SooKNDGjRt1+vRpjR8/XpMmTdLKlStrLB8VFaWCggKXaYsXL9azzz6rwYMHu0xfunSpUlNTne+Dg4Pd3n4AANAyeSzg7NixQ1lZWfriiy/Up08fSdJf/vIXDRkyRM8995wiIyOrLePr6yubzeYybe3atbrzzjt1ySWXuEwPDg6uVhYAAEDy4CWq3NxcBQcHO8ONJCUnJ8vHx0ebN2+uVx1bt25VXl6eJkyYUG3elClT1KFDByUkJGjJkiUyDKPWeioqKuRwOFxeAADAvDzWg2O32xUWFua6slatFBISIrvdXq86Xn75ZXXv3l19+/Z1mf7EE0/opptuUps2bfTee+/p/vvvV2lpqR588MEa68nIyNC8efMubEMAAECL0+AenJkzZ9Y6EPjca+fOnY1u2IkTJ7Ry5coae29mz56tfv366ZprrtGMGTM0ffp0Pfvss7XWNWvWLJWUlDhfBw8ebHT7AACA92pwD860adM0bty4OsvExMTIZrOpqKjIZfqZM2d0/Pjxeo2deeONN1ReXq4xY8act2xiYqLmz5+viooKWa3WavOtVmuN0wEAgDk1OOCEhoYqNDT0vOWSkpJUXFysrVu3Kj4+XpK0adMmVVVVKTEx8bzLv/zyy7r11lvrta68vDy1a9eOEAMAACR5cAxO9+7dlZqaqokTJyozM1OnT59WWlqaRo0a5byD6rvvvtPAgQP1yiuvKCEhwbns7t279dFHH+ndd9+tVu+6detUWFioa6+9Vv7+/tq4caOeeuopPfzww57aFAAA0MJ49Dk4K1asUFpamgYOHCgfHx8NHz5czz//vHP+6dOnlZ+fr/LycpfllixZossvv1yDBg2qVmfr1q21aNEiPfTQQzIMQ126dNGCBQs0ceJET24KAABoQSxGXfdXm5TD4VBQUJBKSkoUGBjY3M0BAAD10JDzN99FBQAATIeAAwAATIeAAwAATIeAAwAATIeAAwAATIeAAwAATIeAAwAATIeAAwAATIeAAwAATIeAAwAATIeAAwAATIeAAwAATIeAAwAATIeAAwAATIeAAwAATIeAAwAATIeAAwAATIeAAwAATIeAAwAATIeAAwAATIeAAwAATIeAAwAATIeAAwAATIeAAwAATIeAAwAATIeAAwAATIeAAwAATIeAAwAATIeAAwAATIeAAwAATIeAAwAATIeAAwAATIeAAwAATIeAAwAATIeAAwAATMdjAecPf/iD+vbtqzZt2ig4OLheyxiGoTlz5igiIkIBAQFKTk7Wrl27XMocP35co0ePVmBgoIKDgzVhwgSVlpZ6YAsAAEBL5bGAc+rUKY0YMUKTJ0+u9zLPPPOMnn/+eWVmZmrz5s1q27atUlJSdPLkSWeZ0aNH65tvvtHGjRu1fv16ffTRR5o0aZInNgEAALRQFsMwDE+uYNmyZZo6daqKi4vrLGcYhiIjIzVt2jQ9/PDDkqSSkhKFh4dr2bJlGjVqlHbs2KHY2Fh98cUX6tOnjyQpKytLQ4YM0aFDhxQZGVmvNjkcDgUFBamkpESBgYGN2j4AANA0GnL+btVEbTqvffv2yW63Kzk52TktKChIiYmJys3N1ahRo5Sbm6vg4GBnuJGk5ORk+fj4aPPmzbr99ttrrLuiokIVFRXO9yUlJZLO7igAANAynDtv16dvxmsCjt1ulySFh4e7TA8PD3fOs9vtCgsLc5nfqlUrhYSEOMvUJCMjQ/Pmzas2PSoqqrHNBgAATeyHH35QUFBQnWUaFHBmzpypp59+us4yO3bsULdu3RpSrcfNmjVL6enpzvdVVVU6fvy42rdvL4vF4tZ1ORwORUVF6eDBg1z+agLs76bF/m5a7O+mxf5uWheyvw3D0A8//FCvISkNCjjTpk3TuHHj6iwTExPTkCqdbDabJKmwsFARERHO6YWFhYqLi3OWKSoqclnuzJkzOn78uHP5mlitVlmtVpdp9b2z60IFBgbyH6QJsb+bFvu7abG/mxb7u2k1dH+fr+fmnAYFnNDQUIWGhjZkkXrr1KmTbDabsrOznYHG4XBo8+bNzjuxkpKSVFxcrK1btyo+Pl6StGnTJlVVVSkxMdEj7QIAAC2Px24TP3DggPLy8nTgwAFVVlYqLy9PeXl5Ls+s6datm9auXStJslgsmjp1qp588km98847+s9//qMxY8YoMjJSw4YNkyR1795dqampmjhxorZs2aJPP/1UaWlpGjVqVL3voAIAAObnsUHGc+bM0fLly53vr7nmGknSBx98oAEDBkiS8vPznXc0SdL06dNVVlamSZMmqbi4WNddd52ysrLk7+/vLLNixQqlpaVp4MCB8vHx0fDhw/X88897ajMazGq1au7cudUuicEz2N9Ni/3dtNjfTYv93bQ8vb89/hwcAACApsZ3UQEAANMh4AAAANMh4AAAANMh4AAAANMh4AAAANMh4LjRokWLFB0dLX9/fyUmJmrLli3N3SRTevzxx2WxWFxe3vb1IC3ZRx99pFtuuUWRkZGyWCx66623XOYbhqE5c+YoIiJCAQEBSk5O1q5du5qnsSZwvv09bty4asd7ampq8zTWBDIyMvTLX/5Sl156qcLCwjRs2DDl5+e7lDl58qSmTJmi9u3b65JLLtHw4cNVWFjYTC1u2eqzvwcMGFDtGL/vvvsavW4CjpusXr1a6enpmjt3rrZt26bevXsrJSWl2ldLwD2uvvpqFRQUOF+ffPJJczfJNMrKytS7d28tWrSoxvnPPPOMnn/+eWVmZmrz5s1q27atUlJSdPLkySZuqTmcb39LUmpqqsvx/tprrzVhC83lww8/1JQpU/T5559r48aNOn36tAYNGqSysjJnmYceekjr1q3TmjVr9OGHH+rw4cP69a9/3Yytbrnqs78laeLEiS7H+DPPPNP4lRtwi4SEBGPKlCnO95WVlUZkZKSRkZHRjK0yp7lz5xq9e/du7mZcFCQZa9eudb6vqqoybDab8eyzzzqnFRcXG1ar1XjttdeaoYXm8vP9bRiGMXbsWOO2225rlvZcDIqKigxJxocffmgYxtnjuXXr1saaNWucZXbs2GFIMnJzc5urmabx8/1tGIbRv39/4/e//73b10UPjhucOnVKW7duVXJysnOaj4+PkpOTlZub24wtM69du3YpMjJSMTExGj16tA4cONDcTboo7Nu3T3a73eVYDwoKUmJiIse6B+Xk5CgsLExdu3bV5MmTdezYseZukmmce5p+SEiIJGnr1q06ffq0yzHerVs3XXHFFRzjbvDz/X3OihUr1KFDB/Xo0UOzZs1SeXl5o9flsa9quJgcPXpUlZWVCg8Pd5keHh6unTt3NlOrzCsxMVHLli1T165dVVBQoHnz5un666/X119/rUsvvbS5m2dqdrtdkmo81s/Ng3ulpqbq17/+tTp16qQ9e/bo0Ucf1eDBg5WbmytfX9/mbl6LVlVVpalTp6pfv37q0aOHpLPHuJ+fn4KDg13Kcow3Xk37W5LuvvtudezYUZGRkdq+fbtmzJih/Px8vfnmm41aHwEHLc7gwYOdP/fq1UuJiYnq2LGjXn/9dU2YMKEZWwa436hRo5w/9+zZU7169VLnzp2Vk5OjgQMHNmPLWr4pU6bo66+/ZgxfE6ltf0+aNMn5c8+ePRUREaGBAwdqz5496ty58wWvj0tUbtChQwf5+vpWG2VfWFgom83WTK26eAQHB+uqq67S7t27m7sppnfueOZYbz4xMTHq0KEDx3sjpaWlaf369frggw90+eWXO6fbbDadOnVKxcXFLuU5xhuntv1dk8TERElq9DFOwHEDPz8/xcfHKzs72zmtqqpK2dnZSkpKasaWXRxKS0u1Z88eRURENHdTTK9Tp06y2Wwux7rD4dDmzZs51pvIoUOHdOzYMY73C2QYhtLS0rR27Vpt2rRJnTp1cpkfHx+v1q1buxzj+fn5OnDgAMf4BTjf/q5JXl6eJDX6GOcSlZukp6dr7Nix6tOnjxISErRw4UKVlZVp/Pjxzd0003n44Yd1yy23qGPHjjp8+LDmzp0rX19f3XXXXc3dNFMoLS11+ctp3759ysvLU0hIiK644gpNnTpVTz75pK688kp16tRJs2fPVmRkpIYNG9Z8jW7B6trfISEhmjdvnoYPHy6bzaY9e/Zo+vTp6tKli1JSUpqx1S3XlClTtHLlSr399tu69NJLneNqgoKCFBAQoKCgIE2YMEHp6ekKCQlRYGCgHnjgASUlJenaa69t5ta3POfb33v27NHKlSs1ZMgQtW/fXtu3b9dDDz2kG264Qb169Wrcyt1+X9ZF7C9/+YtxxRVXGH5+fkZCQoLx+eefN3eTTGnkyJFGRESE4efnZ1x22WXGyJEjjd27dzd3s0zjgw8+MCRVe40dO9YwjLO3is+ePdsIDw83rFarMXDgQCM/P795G92C1bW/y8vLjUGDBhmhoaFG69atjY4dOxoTJ0407HZ7cze7xappX0syli5d6ixz4sQJ4/777zfatWtntGnTxrj99tuNgoKC5mt0C3a+/X3gwAHjhhtuMEJCQgyr1Wp06dLFeOSRR4ySkpJGr9vy/zcAAADANBiDAwAATIeAAwAATIeAAwAATIeAAwAATIeAAwAATIeAAwAATIeAAwAATIeAAwAATIeAAwAATIeAAwAATIeAAwAATOf/AQquMrACSNLzAAAAAElFTkSuQmCC\n"
          },
          "metadata": {},
          "execution_count": 162
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Setting the value for q based on ACF plot and summarizing p, d, q\n",
        "# q = 2\n",
        "p = 2\n",
        "d = 1\n",
        "q = 2"
      ],
      "metadata": {
        "id": "8dAwVdbBnpBS"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Using Arima model with determined orders (p, d, q)\n",
        "from statsmodels.tsa.arima.model import ARIMA\n",
        "model = ARIMA(df, order=(p,d,q))\n",
        "model_fit = model.fit()\n",
        "print(model_fit.summary())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "E78OI6Mxw7II",
        "outputId": "1aa5d8b3-7845-4333-ea2d-bd22d05afbf3"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                               SARIMAX Results                                \n",
            "==============================================================================\n",
            "Dep. Variable:                  Close   No. Observations:                  249\n",
            "Model:                 ARIMA(2, 1, 2)   Log Likelihood                -655.504\n",
            "Date:                Mon, 30 Jun 2025   AIC                           1321.007\n",
            "Time:                        08:04:35   BIC                           1338.574\n",
            "Sample:                             0   HQIC                          1328.079\n",
            "                                - 249                                         \n",
            "Covariance Type:                  opg                                         \n",
            "==============================================================================\n",
            "                 coef    std err          z      P>|z|      [0.025      0.975]\n",
            "------------------------------------------------------------------------------\n",
            "ar.L1          1.3824      0.035     39.313      0.000       1.314       1.451\n",
            "ar.L2         -0.9686      0.040    -24.130      0.000      -1.047      -0.890\n",
            "ma.L1         -1.3815      0.047    -29.487      0.000      -1.473      -1.290\n",
            "ma.L2          0.9365      0.054     17.448      0.000       0.831       1.042\n",
            "sigma2        11.5487      0.796     14.505      0.000       9.988      13.109\n",
            "===================================================================================\n",
            "Ljung-Box (L1) (Q):                   0.00   Jarque-Bera (JB):                49.45\n",
            "Prob(Q):                              0.94   Prob(JB):                         0.00\n",
            "Heteroskedasticity (H):               2.15   Skew:                            -0.33\n",
            "Prob(H) (two-sided):                  0.00   Kurtosis:                         5.08\n",
            "===================================================================================\n",
            "\n",
            "Warnings:\n",
            "[1] Covariance matrix calculated using the outer product of gradients (complex-step).\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Function to plot forecast alongside original data for visualization\n",
        "def plot_forecast(model_fit, df, n_periods=30, column_name='Close'):\n",
        "    \"\"\"\n",
        "    Plots model forecast alongside original time series data.\n",
        "\n",
        "    Parameters:\n",
        "\n",
        "    - df: DataFrame with datetime index and a 'Close' column\n",
        "    - n_periods: Number of future periods to forecast (default = 30)\n",
        "    - column_name: Name of the column to forecast (default = 'Close')\n",
        "    \"\"\"\n",
        "\n",
        "    # Generate forecast\n",
        "    forecast_result = model_fit.get_forecast(n_periods)\n",
        "    forecast_mean = forecast_result.predicted_mean\n",
        "\n",
        "    # Future date index\n",
        "    last_date = df.index[-1]\n",
        "    forecast_index = pd.date_range(start=last_date + pd.Timedelta(days=1), periods=n_periods, freq='D')\n",
        "\n",
        "    # Forecast series with proper index\n",
        "    forecast_series = pd.Series(forecast_mean.values, index=forecast_index)\n",
        "\n",
        "    # Plot\n",
        "    plt.figure(figsize=(12, 5))\n",
        "    plt.plot(df[column_name], label='Original')\n",
        "    plt.plot(forecast_series, label='Forecast', color='orange')\n",
        "    plt.axvline(x=last_date, color='gray', linestyle='--', label='Forecast Start')\n",
        "    plt.legend()\n",
        "    plt.title(f\"{column_name} Forecast with ARIMA\")\n",
        "    plt.show()"
      ],
      "metadata": {
        "id": "iRLHRjG42MJj"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Plotting forecast for the next 30 days using the trained ARIMA model\n",
        "plot_forecast(model_fit,df)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 468
        },
        "id": "lY2aidPo7Pie",
        "outputId": "2e6d3ad0-50e6-44b6-9f8f-19e714c07524"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "The ARIMA model performs poorly due to the presence of seasonality in the data. To address this, we'll use the SARIMA model , an extension of ARIMA that is specifically designed to handle seasonal patterns."
      ],
      "metadata": {
        "id": "5Ly7rTOw-5Wf"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Use Sarima Model, including seasonal orders (P, D, Q, m)\n",
        "from statsmodels.tsa.statespace.sarimax import SARIMAX\n",
        "model = SARIMAX(df, order=(p,d,q), seasonal_order=(p,d,q,12))\n",
        "model_fit = model.fit()"
      ],
      "metadata": {
        "id": "sODZEQ0e2Zav"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Printing the summary of the SARIMA model to evaluate its performance\n",
        "print(model_fit.summary())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "0xtKKUCF4oHP",
        "outputId": "a49f2ae4-30d1-437e-e8c6-ef7f35f1e30c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                                     SARIMAX Results                                      \n",
            "==========================================================================================\n",
            "Dep. Variable:                              Close   No. Observations:                  249\n",
            "Model:             SARIMAX(2, 1, 2)x(2, 1, 2, 12)   Log Likelihood                -639.002\n",
            "Date:                            Mon, 30 Jun 2025   AIC                           1296.005\n",
            "Time:                                    08:04:44   BIC                           1327.179\n",
            "Sample:                                         0   HQIC                          1308.571\n",
            "                                            - 249                                         \n",
            "Covariance Type:                              opg                                         \n",
            "==============================================================================\n",
            "                 coef    std err          z      P>|z|      [0.025      0.975]\n",
            "------------------------------------------------------------------------------\n",
            "ar.L1         -0.5252      0.181     -2.906      0.004      -0.879      -0.171\n",
            "ar.L2         -0.6978      0.199     -3.498      0.000      -1.089      -0.307\n",
            "ma.L1          0.5279      0.150      3.510      0.000       0.233       0.823\n",
            "ma.L2          0.8169      0.170      4.804      0.000       0.484       1.150\n",
            "ar.S.L12      -0.1556      0.798     -0.195      0.845      -1.720       1.409\n",
            "ar.S.L24       0.1008      0.164      0.613      0.540      -0.221       0.423\n",
            "ma.S.L12      -0.8070      0.797     -1.012      0.312      -2.370       0.756\n",
            "ma.S.L24      -0.0526      0.638     -0.082      0.934      -1.303       1.198\n",
            "sigma2        12.2884      0.974     12.618      0.000      10.380      14.197\n",
            "===================================================================================\n",
            "Ljung-Box (L1) (Q):                   0.04   Jarque-Bera (JB):                42.47\n",
            "Prob(Q):                              0.85   Prob(JB):                         0.00\n",
            "Heteroskedasticity (H):               2.16   Skew:                            -0.32\n",
            "Prob(H) (two-sided):                  0.00   Kurtosis:                         4.98\n",
            "===================================================================================\n",
            "\n",
            "Warnings:\n",
            "[1] Covariance matrix calculated using the outer product of gradients (complex-step).\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Plotting forecast for 30 days using the trained SARIMA model\n",
        "plot_forecast(model_fit,df)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 468
        },
        "id": "lyAgbOvw7hGS",
        "outputId": "d74fbcbf-ff64-48fc-b8c5-700c4a4d6ddd"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Next, we’ll use **Auto ARIMA** , an automated approach that identifies the most suitable ARIMA model by evaluating and selecting the optimal values for the parameters p (autoregressive term), d (differencing), and q (moving average term) based on our data"
      ],
      "metadata": {
        "id": "p4y6nNETU97x"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install pmdarima"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "lkJ34S6IaL9Z",
        "outputId": "24102214-e771-482c-b8e3-8c8ba528463a"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Requirement already satisfied: pmdarima in /usr/local/lib/python3.11/dist-packages (2.0.4)\n",
            "Requirement already satisfied: joblib>=0.11 in /usr/local/lib/python3.11/dist-packages (from pmdarima) (1.5.1)\n",
            "Requirement already satisfied: Cython!=0.29.18,!=0.29.31,>=0.29 in /usr/local/lib/python3.11/dist-packages (from pmdarima) (3.0.12)\n",
            "Requirement already satisfied: numpy>=1.21.2 in /usr/local/lib/python3.11/dist-packages (from pmdarima) (1.24.4)\n",
            "Requirement already satisfied: pandas>=0.19 in /usr/local/lib/python3.11/dist-packages (from pmdarima) (2.2.2)\n",
            "Requirement already satisfied: scikit-learn>=0.22 in /usr/local/lib/python3.11/dist-packages (from pmdarima) (1.6.1)\n",
            "Requirement already satisfied: scipy>=1.3.2 in /usr/local/lib/python3.11/dist-packages (from pmdarima) (1.15.3)\n",
            "Requirement already satisfied: statsmodels>=0.13.2 in /usr/local/lib/python3.11/dist-packages (from pmdarima) (0.14.4)\n",
            "Requirement already satisfied: urllib3 in /usr/local/lib/python3.11/dist-packages (from pmdarima) (2.4.0)\n",
            "Requirement already satisfied: setuptools!=50.0.0,>=38.6.0 in /usr/local/lib/python3.11/dist-packages (from pmdarima) (75.2.0)\n",
            "Requirement already satisfied: packaging>=17.1 in /usr/local/lib/python3.11/dist-packages (from pmdarima) (24.2)\n",
            "Requirement already satisfied: python-dateutil>=2.8.2 in /usr/local/lib/python3.11/dist-packages (from pandas>=0.19->pmdarima) (2.9.0.post0)\n",
            "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.11/dist-packages (from pandas>=0.19->pmdarima) (2025.2)\n",
            "Requirement already satisfied: tzdata>=2022.7 in /usr/local/lib/python3.11/dist-packages (from pandas>=0.19->pmdarima) (2025.2)\n",
            "Requirement already satisfied: threadpoolctl>=3.1.0 in /usr/local/lib/python3.11/dist-packages (from scikit-learn>=0.22->pmdarima) (3.6.0)\n",
            "Requirement already satisfied: patsy>=0.5.6 in /usr/local/lib/python3.11/dist-packages (from statsmodels>=0.13.2->pmdarima) (1.0.1)\n",
            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.11/dist-packages (from python-dateutil>=2.8.2->pandas>=0.19->pmdarima) (1.17.0)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import pmdarima as pm"
      ],
      "metadata": {
        "id": "Y_ukfvs3aXW3"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "model = pm.auto_arima(df,\n",
        "                      start_p=1,\n",
        "                      start_q=1,\n",
        "                      max_p=3,\n",
        "                      max_q=3,\n",
        "                      seasonal=True,\n",
        "                      m=12,\n",
        "                      d=1,\n",
        "                      trace=True,\n",
        "                      error_action='ignore',\n",
        "                      suppress_warnings=True,\n",
        "                      )"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "KTOs3VNdaeRj",
        "outputId": "b71dae99-138e-4a15-8741-8861fd93fbfd"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Performing stepwise search to minimize aic\n",
            " ARIMA(1,1,1)(1,0,1)[12] intercept   : AIC=1328.720, Time=1.78 sec\n",
            " ARIMA(0,1,0)(0,0,0)[12] intercept   : AIC=1323.326, Time=0.04 sec\n",
            " ARIMA(1,1,0)(1,0,0)[12] intercept   : AIC=1327.040, Time=0.38 sec\n",
            " ARIMA(0,1,1)(0,0,1)[12] intercept   : AIC=1327.086, Time=2.15 sec\n",
            " ARIMA(0,1,0)(0,0,0)[12]             : AIC=1321.330, Time=0.14 sec\n",
            " ARIMA(0,1,0)(1,0,0)[12] intercept   : AIC=1325.158, Time=0.65 sec\n",
            " ARIMA(0,1,0)(0,0,1)[12] intercept   : AIC=1325.195, Time=0.41 sec\n",
            " ARIMA(0,1,0)(1,0,1)[12] intercept   : AIC=1324.826, Time=1.24 sec\n",
            " ARIMA(1,1,0)(0,0,0)[12] intercept   : AIC=1325.218, Time=0.09 sec\n",
            " ARIMA(0,1,1)(0,0,0)[12] intercept   : AIC=1325.226, Time=0.40 sec\n",
            " ARIMA(1,1,1)(0,0,0)[12] intercept   : AIC=1327.198, Time=1.12 sec\n",
            "\n",
            "Best model:  ARIMA(0,1,0)(0,0,0)[12]          \n",
            "Total fit time: 8.432 seconds\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Splitting data into train and test to check its Accuracy [MAE AND RMSE]"
      ],
      "metadata": {
        "id": "eaTe7NbdhMPX"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#Splitting the data\n",
        "train_size = int(len(df) * 0.8)\n",
        "train, test = df[:train_size], df[train_size:]"
      ],
      "metadata": {
        "id": "BonPq6gjbtCf"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Matrix Evaluation**\n"
      ],
      "metadata": {
        "id": "lSoh6nhlhZkm"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#Using Arima Model\n",
        "from statsmodels.tsa.arima.model import ARIMA\n",
        "\n",
        "model = ARIMA(train, order=(p, d, q))\n",
        "model_fit = model.fit()\n"
      ],
      "metadata": {
        "id": "H8GbfUB2cbkD"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Forecast the same number of steps as test length\n",
        "y_pred = model_fit.forecast(steps=len(test))"
      ],
      "metadata": {
        "id": "xKYsJjGDciBp"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "import numpy as np\n",
        "from sklearn.metrics import mean_squared_error, mean_absolute_error\n",
        "\n",
        "# Plot\n",
        "plt.figure(figsize=(10, 5))\n",
        "plt.plot(train.index, train, label='Training Data')\n",
        "plt.plot(test.index, test, label='Actual Test Data')\n",
        "plt.plot(test.index, y_pred, label='Predicted', color='red')\n",
        "plt.legend()\n",
        "plt.title('ARIMA Forecast vs Actual')\n",
        "plt.show()\n",
        "\n",
        "# Accuracy Metrics\n",
        "mse = mean_squared_error(test, y_pred)\n",
        "mae = mean_absolute_error(test, y_pred)\n",
        "rmse = np.sqrt(mse)\n",
        "\n",
        "print(f\"MAE: {mae:.2f}\")\n",
        "print(f\"RMSE: {rmse:.2f}\")\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 503
        },
        "id": "Z348-vqeckMO",
        "outputId": "c0814bc0-71db-4dbf-d273-2e50a2154aa1"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "MAE: 10.63\n",
            "RMSE: 12.28\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Using Sarima model**"
      ],
      "metadata": {
        "id": "Qp__mlsBhhq7"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Use Sarima Model, including seasonal orders (P, D, Q, m)\n",
        "p, d, q = 0, 1, 0\n",
        "P, D, Q, m = 1, 0, 1, 12\n",
        "from statsmodels.tsa.statespace.sarimax import SARIMAX\n",
        "model = SARIMAX(train, order=(p,d,q), seasonal_order=(p,d,q,12))\n",
        "model_fit = model.fit()"
      ],
      "metadata": {
        "id": "0wAInwAVcmLg"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "y_pred = model_fit.forecast(steps=len(test))\n",
        "from sklearn.metrics import mean_squared_error, mean_absolute_error\n",
        "\n",
        "# Plot\n",
        "plt.figure(figsize=(10, 5))\n",
        "plt.plot(train.index, train, label='Training Data')\n",
        "plt.plot(test.index, test, label='Actual Test Data')\n",
        "plt.plot(test.index, y_pred, label='Forecast', color='red')\n",
        "plt.legend()\n",
        "plt.title('SARIMA Forecast vs Actual')\n",
        "plt.grid(True)\n",
        "plt.show()\n",
        "\n",
        "# Accuracy Metrics\n",
        "mae = mean_absolute_error(test, y_pred)\n",
        "rmse = np.sqrt(mean_squared_error(test, y_pred))\n",
        "\n",
        "print(f\"MAE: {mae:.2f}\")\n",
        "print(f\"RMSE: {rmse:.2f}\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 503
        },
        "id": "m-AaBk59dGZs",
        "outputId": "51aad35b-b759-4919-dae8-48e4c48439b0"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "MAE: 8.52\n",
            "RMSE: 10.67\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "pNlQRyLcdRBc"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}