crude_oil_analysis.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Analyst Information"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Introduction to Machine Learning and Analysis (Statistics)**\n",
    "\n",
    "**Analyst** = ```Kofi Anane Poku```\n",
    "\n",
    "**Linkedin Profile** : ```linkedin.com/in/kofi-poku-anane```\n",
    "\n",
    "\n",
    "\n",
    "**TABLE OF CONTENT**\n",
    "\n",
    "Link to Download Dataset\n",
    "\n",
    "Link : https://drive.google.com/file/d/1crX_sb47e4gZi-oNkivd3vxX8SE_krF5/view?usp=drive_link\n",
    "\n",
    "\n",
    "This project consist of the analysis of Crude oil prices from 2012 t0 2022 , and predicted the price range in 2023 and 2024 whether the price will rise or fall . The project consist of ,\n",
    "\n",
    "1 . Libraries\n",
    "\n",
    "2 .  Data Preparation \n",
    "\n",
    "3 .  Prophet Model\n",
    "\n",
    "4 . Visualization\n",
    "\n",
    "5 . Cross Validation\n",
    "\n",
    "6 . Multilinear Regression Preparation\n",
    "\n",
    "7 . Multilinear Regression"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "from prophet import Prophet"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Preparation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>Close/Last</th>\n",
       "      <th>Volume</th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>10/28/2022</td>\n",
       "      <td>87.90</td>\n",
       "      <td>241417.0</td>\n",
       "      <td>88.67</td>\n",
       "      <td>88.76</td>\n",
       "      <td>87.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10/27/2022</td>\n",
       "      <td>88.26</td>\n",
       "      <td>273717.0</td>\n",
       "      <td>88.26</td>\n",
       "      <td>89.79</td>\n",
       "      <td>87.33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>10/26/2022</td>\n",
       "      <td>87.91</td>\n",
       "      <td>271474.0</td>\n",
       "      <td>85.07</td>\n",
       "      <td>88.41</td>\n",
       "      <td>84.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>10/25/2022</td>\n",
       "      <td>85.32</td>\n",
       "      <td>226337.0</td>\n",
       "      <td>84.88</td>\n",
       "      <td>86.03</td>\n",
       "      <td>83.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>10/24/2022</td>\n",
       "      <td>84.58</td>\n",
       "      <td>238458.0</td>\n",
       "      <td>85.24</td>\n",
       "      <td>85.92</td>\n",
       "      <td>82.63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2543</th>\n",
       "      <td>11/05/2012</td>\n",
       "      <td>85.65</td>\n",
       "      <td>185846.0</td>\n",
       "      <td>84.65</td>\n",
       "      <td>85.90</td>\n",
       "      <td>84.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2544</th>\n",
       "      <td>11/02/2012</td>\n",
       "      <td>84.86</td>\n",
       "      <td>273619.0</td>\n",
       "      <td>86.91</td>\n",
       "      <td>87.24</td>\n",
       "      <td>84.66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2545</th>\n",
       "      <td>11/01/2012</td>\n",
       "      <td>87.09</td>\n",
       "      <td>185097.0</td>\n",
       "      <td>86.10</td>\n",
       "      <td>87.42</td>\n",
       "      <td>85.92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2546</th>\n",
       "      <td>10/31/2012</td>\n",
       "      <td>86.24</td>\n",
       "      <td>192354.0</td>\n",
       "      <td>85.73</td>\n",
       "      <td>87.19</td>\n",
       "      <td>85.61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2547</th>\n",
       "      <td>10/30/2012</td>\n",
       "      <td>85.68</td>\n",
       "      <td>NaN</td>\n",
       "      <td>85.68</td>\n",
       "      <td>85.68</td>\n",
       "      <td>85.68</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2548 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Date  Close/Last    Volume   Open   High    Low\n",
       "0     10/28/2022       87.90  241417.0  88.67  88.76  87.08\n",
       "1     10/27/2022       88.26  273717.0  88.26  89.79  87.33\n",
       "2     10/26/2022       87.91  271474.0  85.07  88.41  84.14\n",
       "3     10/25/2022       85.32  226337.0  84.88  86.03  83.06\n",
       "4     10/24/2022       84.58  238458.0  85.24  85.92  82.63\n",
       "...          ...         ...       ...    ...    ...    ...\n",
       "2543  11/05/2012       85.65  185846.0  84.65  85.90  84.34\n",
       "2544  11/02/2012       84.86  273619.0  86.91  87.24  84.66\n",
       "2545  11/01/2012       87.09  185097.0  86.10  87.42  85.92\n",
       "2546  10/31/2012       86.24  192354.0  85.73  87.19  85.61\n",
       "2547  10/30/2012       85.68       NaN  85.68  85.68  85.68\n",
       "\n",
       "[2548 rows x 6 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "crudeoil_analysis = pd.read_csv(\"Crude oil.csv\")\n",
    "crudeoil_analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date           0\n",
       "Close/Last     0\n",
       "Volume        31\n",
       "Open           0\n",
       "High           0\n",
       "Low            0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "crudeoil_analysis.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "crudeoil_analysis.fillna({'Volume' : 0}, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date          0\n",
       "Close/Last    0\n",
       "Volume        0\n",
       "Open          0\n",
       "High          0\n",
       "Low           0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "crudeoil_analysis.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date           object\n",
       "Close/Last    float64\n",
       "Volume        float64\n",
       "Open          float64\n",
       "High          float64\n",
       "Low           float64\n",
       "dtype: object"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "crudeoil_analysis.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "crudeoil_analysis.Date = pd.to_datetime(crudeoil_analysis.Date , \n",
    "                                        format = \"%m/%d/%Y\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date          datetime64[ns]\n",
       "Close/Last           float64\n",
       "Volume               float64\n",
       "Open                 float64\n",
       "High                 float64\n",
       "Low                  float64\n",
       "dtype: object"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "crudeoil_analysis.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>Close/Last</th>\n",
       "      <th>Volume</th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2022-10-28</td>\n",
       "      <td>87.90</td>\n",
       "      <td>241417.0</td>\n",
       "      <td>88.67</td>\n",
       "      <td>88.76</td>\n",
       "      <td>87.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2022-10-27</td>\n",
       "      <td>88.26</td>\n",
       "      <td>273717.0</td>\n",
       "      <td>88.26</td>\n",
       "      <td>89.79</td>\n",
       "      <td>87.33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2022-10-26</td>\n",
       "      <td>87.91</td>\n",
       "      <td>271474.0</td>\n",
       "      <td>85.07</td>\n",
       "      <td>88.41</td>\n",
       "      <td>84.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2022-10-25</td>\n",
       "      <td>85.32</td>\n",
       "      <td>226337.0</td>\n",
       "      <td>84.88</td>\n",
       "      <td>86.03</td>\n",
       "      <td>83.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2022-10-24</td>\n",
       "      <td>84.58</td>\n",
       "      <td>238458.0</td>\n",
       "      <td>85.24</td>\n",
       "      <td>85.92</td>\n",
       "      <td>82.63</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Date  Close/Last    Volume   Open   High    Low\n",
       "0 2022-10-28       87.90  241417.0  88.67  88.76  87.08\n",
       "1 2022-10-27       88.26  273717.0  88.26  89.79  87.33\n",
       "2 2022-10-26       87.91  271474.0  85.07  88.41  84.14\n",
       "3 2022-10-25       85.32  226337.0  84.88  86.03  83.06\n",
       "4 2022-10-24       84.58  238458.0  85.24  85.92  82.63"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "crudeoil_analysis.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ds</th>\n",
       "      <th>Close/Last</th>\n",
       "      <th>y</th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2022-10-28</td>\n",
       "      <td>87.90</td>\n",
       "      <td>241417.0</td>\n",
       "      <td>88.67</td>\n",
       "      <td>88.76</td>\n",
       "      <td>87.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2022-10-27</td>\n",
       "      <td>88.26</td>\n",
       "      <td>273717.0</td>\n",
       "      <td>88.26</td>\n",
       "      <td>89.79</td>\n",
       "      <td>87.33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2022-10-26</td>\n",
       "      <td>87.91</td>\n",
       "      <td>271474.0</td>\n",
       "      <td>85.07</td>\n",
       "      <td>88.41</td>\n",
       "      <td>84.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2022-10-25</td>\n",
       "      <td>85.32</td>\n",
       "      <td>226337.0</td>\n",
       "      <td>84.88</td>\n",
       "      <td>86.03</td>\n",
       "      <td>83.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2022-10-24</td>\n",
       "      <td>84.58</td>\n",
       "      <td>238458.0</td>\n",
       "      <td>85.24</td>\n",
       "      <td>85.92</td>\n",
       "      <td>82.63</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          ds  Close/Last         y   Open   High    Low\n",
       "0 2022-10-28       87.90  241417.0  88.67  88.76  87.08\n",
       "1 2022-10-27       88.26  273717.0  88.26  89.79  87.33\n",
       "2 2022-10-26       87.91  271474.0  85.07  88.41  84.14\n",
       "3 2022-10-25       85.32  226337.0  84.88  86.03  83.06\n",
       "4 2022-10-24       84.58  238458.0  85.24  85.92  82.63"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "crudeoil_analysis.rename(columns= {\"Date\" :\"ds\" ,\n",
    "                                   \"Volume\" : \"y\"} ,\n",
    "                                    inplace=True)\n",
    "crudeoil_analysis.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Prophet Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "11:09:57 - cmdstanpy - INFO - Chain [1] start processing\n",
      "11:10:00 - cmdstanpy - INFO - Chain [1] done processing\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<prophet.forecaster.Prophet at 0x17f961070b0>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create the Model and fit the Model\n",
    "model = Prophet(growth = 'linear',\n",
    "                yearly_seasonality = True,\n",
    "                weekly_seasonality = True,\n",
    "                daily_seasonality = False,\n",
    "                seasonality_mode = 'multiplicative'\n",
    "    )\n",
    "model.add_regressor(\"Close/Last\"  , mode = \"multiplicative\")\n",
    "model.add_regressor(\"Open\"  , mode = \"multiplicative\")\n",
    "model.add_regressor(\"High\"  , mode = \"multiplicative\")\n",
    "model.add_regressor(\"Low\"  , mode = \"multiplicative\")\n",
    "\n",
    "model.fit(crudeoil_analysis)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>regressor</th>\n",
       "      <th>regressor_mode</th>\n",
       "      <th>center</th>\n",
       "      <th>coef_lower</th>\n",
       "      <th>coef</th>\n",
       "      <th>coef_upper</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Close/Last</td>\n",
       "      <td>multiplicative</td>\n",
       "      <td>66.043740</td>\n",
       "      <td>-0.020851</td>\n",
       "      <td>-0.020851</td>\n",
       "      <td>-0.020851</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Open</td>\n",
       "      <td>multiplicative</td>\n",
       "      <td>66.042500</td>\n",
       "      <td>0.012900</td>\n",
       "      <td>0.012900</td>\n",
       "      <td>0.012900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>High</td>\n",
       "      <td>multiplicative</td>\n",
       "      <td>66.959839</td>\n",
       "      <td>0.170032</td>\n",
       "      <td>0.170032</td>\n",
       "      <td>0.170032</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Low</td>\n",
       "      <td>multiplicative</td>\n",
       "      <td>65.065043</td>\n",
       "      <td>-0.161379</td>\n",
       "      <td>-0.161379</td>\n",
       "      <td>-0.161379</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    regressor  regressor_mode     center  coef_lower      coef  coef_upper\n",
       "0  Close/Last  multiplicative  66.043740   -0.020851 -0.020851   -0.020851\n",
       "1        Open  multiplicative  66.042500    0.012900  0.012900    0.012900\n",
       "2        High  multiplicative  66.959839    0.170032  0.170032    0.170032\n",
       "3         Low  multiplicative  65.065043   -0.161379 -0.161379   -0.161379"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Regressor coefficients\n",
    "from prophet.utilities import regressor_coefficients\n",
    "regressor_coefficients(model)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "***The regresssor means that during the day from 2012 to 2022 , Close/Last  dropped by -2.0851% , the Open increased by 1.29% , the High also increased by 17.0032 and Low decreased by -16.1379 on yearly basis***"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\toy\\AppData\\Local\\Temp\\ipykernel_1940\\2220200235.py:3: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise an error in a future version of pandas. Value '0' has dtype incompatible with datetime64[ns], please explicitly cast to a compatible dtype first.\n",
      "  future = pd.concat([future , crudeoil_analysis.iloc[: , 1:]]).fillna(0 , inplace =True)\n"
     ]
    }
   ],
   "source": [
    "# Making Predictions\n",
    "future = model.make_future_dataframe(periods= 365)\n",
    "future = pd.concat([future , crudeoil_analysis.iloc[: , 1:]]).fillna(0 , inplace =True)\n",
    "future\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ds</th>\n",
       "      <th>trend</th>\n",
       "      <th>yhat_lower</th>\n",
       "      <th>yhat_upper</th>\n",
       "      <th>trend_lower</th>\n",
       "      <th>trend_upper</th>\n",
       "      <th>Close/Last</th>\n",
       "      <th>Close/Last_lower</th>\n",
       "      <th>Close/Last_upper</th>\n",
       "      <th>High</th>\n",
       "      <th>...</th>\n",
       "      <th>weekly</th>\n",
       "      <th>weekly_lower</th>\n",
       "      <th>weekly_upper</th>\n",
       "      <th>yearly</th>\n",
       "      <th>yearly_lower</th>\n",
       "      <th>yearly_upper</th>\n",
       "      <th>additive_terms</th>\n",
       "      <th>additive_terms_lower</th>\n",
       "      <th>additive_terms_upper</th>\n",
       "      <th>yhat</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2012-10-30</td>\n",
       "      <td>144098.283273</td>\n",
       "      <td>-100654.717884</td>\n",
       "      <td>340959.469420</td>\n",
       "      <td>144098.283273</td>\n",
       "      <td>144098.283273</td>\n",
       "      <td>-0.409440</td>\n",
       "      <td>-0.409440</td>\n",
       "      <td>-0.409440</td>\n",
       "      <td>3.183024</td>\n",
       "      <td>...</td>\n",
       "      <td>0.077142</td>\n",
       "      <td>0.077142</td>\n",
       "      <td>0.077142</td>\n",
       "      <td>0.041353</td>\n",
       "      <td>0.041353</td>\n",
       "      <td>0.041353</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>117956.087843</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2012-10-31</td>\n",
       "      <td>144186.885401</td>\n",
       "      <td>-47342.924123</td>\n",
       "      <td>387787.473201</td>\n",
       "      <td>144186.885401</td>\n",
       "      <td>144186.885401</td>\n",
       "      <td>-0.421117</td>\n",
       "      <td>-0.421117</td>\n",
       "      <td>-0.421117</td>\n",
       "      <td>3.439772</td>\n",
       "      <td>...</td>\n",
       "      <td>0.172980</td>\n",
       "      <td>0.172980</td>\n",
       "      <td>0.172980</td>\n",
       "      <td>0.039336</td>\n",
       "      <td>0.039336</td>\n",
       "      <td>0.039336</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>168614.225718</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2012-11-01</td>\n",
       "      <td>144275.487529</td>\n",
       "      <td>-77267.063714</td>\n",
       "      <td>393147.906093</td>\n",
       "      <td>144275.487529</td>\n",
       "      <td>144275.487529</td>\n",
       "      <td>-0.438840</td>\n",
       "      <td>-0.438840</td>\n",
       "      <td>-0.438840</td>\n",
       "      <td>3.478879</td>\n",
       "      <td>...</td>\n",
       "      <td>0.108435</td>\n",
       "      <td>0.108435</td>\n",
       "      <td>0.108435</td>\n",
       "      <td>0.036042</td>\n",
       "      <td>0.036042</td>\n",
       "      <td>0.036042</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>155486.406332</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2012-11-02</td>\n",
       "      <td>144364.089658</td>\n",
       "      <td>-49752.124132</td>\n",
       "      <td>397335.558517</td>\n",
       "      <td>144364.089658</td>\n",
       "      <td>144364.089658</td>\n",
       "      <td>-0.392342</td>\n",
       "      <td>-0.392342</td>\n",
       "      <td>-0.392342</td>\n",
       "      <td>3.448274</td>\n",
       "      <td>...</td>\n",
       "      <td>0.004959</td>\n",
       "      <td>0.004959</td>\n",
       "      <td>0.004959</td>\n",
       "      <td>0.031595</td>\n",
       "      <td>0.031595</td>\n",
       "      <td>0.031595</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>173159.057150</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2012-11-05</td>\n",
       "      <td>144629.896043</td>\n",
       "      <td>-89841.335984</td>\n",
       "      <td>365313.917403</td>\n",
       "      <td>144629.896043</td>\n",
       "      <td>144629.896043</td>\n",
       "      <td>-0.408815</td>\n",
       "      <td>-0.408815</td>\n",
       "      <td>-0.408815</td>\n",
       "      <td>3.220431</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.004339</td>\n",
       "      <td>-0.004339</td>\n",
       "      <td>-0.004339</td>\n",
       "      <td>0.013006</td>\n",
       "      <td>0.013006</td>\n",
       "      <td>0.013006</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>137361.657591</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 34 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          ds          trend     yhat_lower     yhat_upper    trend_lower  \\\n",
       "0 2012-10-30  144098.283273 -100654.717884  340959.469420  144098.283273   \n",
       "1 2012-10-31  144186.885401  -47342.924123  387787.473201  144186.885401   \n",
       "2 2012-11-01  144275.487529  -77267.063714  393147.906093  144275.487529   \n",
       "3 2012-11-02  144364.089658  -49752.124132  397335.558517  144364.089658   \n",
       "4 2012-11-05  144629.896043  -89841.335984  365313.917403  144629.896043   \n",
       "\n",
       "     trend_upper  Close/Last  Close/Last_lower  Close/Last_upper      High  \\\n",
       "0  144098.283273   -0.409440         -0.409440         -0.409440  3.183024   \n",
       "1  144186.885401   -0.421117         -0.421117         -0.421117  3.439772   \n",
       "2  144275.487529   -0.438840         -0.438840         -0.438840  3.478879   \n",
       "3  144364.089658   -0.392342         -0.392342         -0.392342  3.448274   \n",
       "4  144629.896043   -0.408815         -0.408815         -0.408815  3.220431   \n",
       "\n",
       "   ...    weekly  weekly_lower  weekly_upper    yearly  yearly_lower  \\\n",
       "0  ...  0.077142      0.077142      0.077142  0.041353      0.041353   \n",
       "1  ...  0.172980      0.172980      0.172980  0.039336      0.039336   \n",
       "2  ...  0.108435      0.108435      0.108435  0.036042      0.036042   \n",
       "3  ...  0.004959      0.004959      0.004959  0.031595      0.031595   \n",
       "4  ... -0.004339     -0.004339     -0.004339  0.013006      0.013006   \n",
       "\n",
       "   yearly_upper  additive_terms  additive_terms_lower  additive_terms_upper  \\\n",
       "0      0.041353             0.0                   0.0                   0.0   \n",
       "1      0.039336             0.0                   0.0                   0.0   \n",
       "2      0.036042             0.0                   0.0                   0.0   \n",
       "3      0.031595             0.0                   0.0                   0.0   \n",
       "4      0.013006             0.0                   0.0                   0.0   \n",
       "\n",
       "            yhat  \n",
       "0  117956.087843  \n",
       "1  168614.225718  \n",
       "2  155486.406332  \n",
       "3  173159.057150  \n",
       "4  137361.657591  \n",
       "\n",
       "[5 rows x 34 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#forecasting\n",
    "forecast = model.predict(future)\n",
    "forecast.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "***The yhat is the actual predciton***"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Visualization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\python312\\Lib\\site-packages\\prophet\\plot.py:72: FutureWarning: The behavior of DatetimeProperties.to_pydatetime is deprecated, in a future version this will return a Series containing python datetime objects instead of an ndarray. To retain the old behavior, call `np.array` on the result\n",
      "  fcst_t = fcst['ds'].dt.to_pydatetime()\n",
      "c:\\python312\\Lib\\site-packages\\prophet\\plot.py:73: FutureWarning: The behavior of DatetimeProperties.to_pydatetime is deprecated, in a future version this will return a Series containing python datetime objects instead of an ndarray. To retain the old behavior, call `np.array` on the result\n",
      "  ax.plot(m.history['ds'].dt.to_pydatetime(), m.history['y'], 'k.',\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig1 = model.plot(forecast);\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "***Can be predicted from the graph that the price for crude oil in 2023 can either increase above 0.25% or decrease below 0.25% . This prediction affetcs the prices of Crude Oil in 2024***\n",
    "******"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\python312\\Lib\\site-packages\\prophet\\plot.py:228: FutureWarning: The behavior of DatetimeProperties.to_pydatetime is deprecated, in a future version this will return a Series containing python datetime objects instead of an ndarray. To retain the old behavior, call `np.array` on the result\n",
      "  fcst_t = fcst['ds'].dt.to_pydatetime()\n",
      "c:\\python312\\Lib\\site-packages\\prophet\\plot.py:351: FutureWarning: The behavior of DatetimeProperties.to_pydatetime is deprecated, in a future version this will return a Series containing python datetime objects instead of an ndarray. To retain the old behavior, call `np.array` on the result\n",
      "  df_y['ds'].dt.to_pydatetime(), seas[name], ls='-', c='#0072B2')\n",
      "c:\\python312\\Lib\\site-packages\\prophet\\plot.py:354: FutureWarning: The behavior of DatetimeProperties.to_pydatetime is deprecated, in a future version this will return a Series containing python datetime objects instead of an ndarray. To retain the old behavior, call `np.array` on the result\n",
      "  df_y['ds'].dt.to_pydatetime(), seas[name + '_lower'],\n",
      "c:\\python312\\Lib\\site-packages\\prophet\\plot.py:228: FutureWarning: The behavior of DatetimeProperties.to_pydatetime is deprecated, in a future version this will return a Series containing python datetime objects instead of an ndarray. To retain the old behavior, call `np.array` on the result\n",
      "  fcst_t = fcst['ds'].dt.to_pydatetime()\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 900x1200 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig2 = model.plot_components(forecast);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "***From the graph , satrting from the trend , it can be predicted that the price for crude oil in 2023 can either increase above 0.25% or decrease below 0.25% . This prediction affetcs the prices of Crude Oil in 2024***\n",
    "\n",
    "***On the Weekly Basis , the price of Crude oil -20% from sunday to 20% on wednesday and then drops way down to -20% on saturday***\n",
    "\n",
    "***On the Yearly Basis, the price for Crude oil in January increases above 10% while the following months are between the range of -10% to 10%,and decreases by -20% in the month of January at the beginning of the next year***\n",
    "\n",
    "***With the Extra Regressors Multiplicative , the impact of the independent variables that is the Close/Last , Open , High , Low on the Dependent Variable y (Volume) on the yearly basis states that , the precentage of the prices for Crude Oil from 2012 to 2021 ranges from -50% to 100% , while the price for crude oil in 2022 increases to the range of %200 . And can be predicted that the price in 2023 and 2024 can be in the range of -50% to 50%***\n",
    "\n",
    "***"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Cross Validation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "from prophet.diagnostics import cross_validation\n",
    "df_cv = cross_validation(model ,\n",
    "                         horizon = 365,\n",
    "                         parallel = 'processes',\n",
    "                         )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ds</th>\n",
       "      <th>yhat</th>\n",
       "      <th>yhat_lower</th>\n",
       "      <th>yhat_upper</th>\n",
       "      <th>y</th>\n",
       "      <th>cutoff</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2013-10-31</td>\n",
       "      <td>147998.198988</td>\n",
       "      <td>43843.993824</td>\n",
       "      <td>254033.628924</td>\n",
       "      <td>8295.0</td>\n",
       "      <td>2013-10-30 23:59:59.999999635</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2013-11-01</td>\n",
       "      <td>104548.206769</td>\n",
       "      <td>-7048.758639</td>\n",
       "      <td>211987.721119</td>\n",
       "      <td>259377.0</td>\n",
       "      <td>2013-10-31 23:59:59.999999635</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2013-11-04</td>\n",
       "      <td>87748.785694</td>\n",
       "      <td>-17938.475070</td>\n",
       "      <td>190970.245994</td>\n",
       "      <td>195251.0</td>\n",
       "      <td>2013-11-03 23:59:59.999999635</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2013-11-05</td>\n",
       "      <td>107874.918358</td>\n",
       "      <td>3878.919591</td>\n",
       "      <td>223058.115904</td>\n",
       "      <td>201793.0</td>\n",
       "      <td>2013-11-04 23:59:59.999999635</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2013-11-06</td>\n",
       "      <td>184938.821218</td>\n",
       "      <td>78692.115570</td>\n",
       "      <td>282249.852111</td>\n",
       "      <td>255167.0</td>\n",
       "      <td>2013-11-05 23:59:59.999999635</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          ds           yhat    yhat_lower     yhat_upper         y  \\\n",
       "0 2013-10-31  147998.198988  43843.993824  254033.628924    8295.0   \n",
       "1 2013-11-01  104548.206769  -7048.758639  211987.721119  259377.0   \n",
       "2 2013-11-04   87748.785694 -17938.475070  190970.245994  195251.0   \n",
       "3 2013-11-05  107874.918358   3878.919591  223058.115904  201793.0   \n",
       "4 2013-11-06  184938.821218  78692.115570  282249.852111  255167.0   \n",
       "\n",
       "                         cutoff  \n",
       "0 2013-10-30 23:59:59.999999635  \n",
       "1 2013-10-31 23:59:59.999999635  \n",
       "2 2013-11-03 23:59:59.999999635  \n",
       "3 2013-11-04 23:59:59.999999635  \n",
       "4 2013-11-05 23:59:59.999999635  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_cv.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mean Absolute Error (MAE) :  131230.5917028121\n",
      "Mean Squared Error (MSE) :  188139.3602708587\n"
     ]
    }
   ],
   "source": [
    "# Error Assessment\n",
    "\n",
    "from sklearn.metrics import mean_absolute_error ,mean_squared_error\n",
    "print( \"Mean Absolute Error (MAE) : \" , mean_absolute_error(df_cv['y'] , df_cv['yhat']))\n",
    "print(\"Mean Squared Error (MSE) : \" , np.sqrt( mean_squared_error(df_cv['y'] , df_cv['yhat'])))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Multilinear Regression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "import statsmodels.api as sm \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ds</th>\n",
       "      <th>Close/Last</th>\n",
       "      <th>y</th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2022-10-28</td>\n",
       "      <td>87.90</td>\n",
       "      <td>241417.0</td>\n",
       "      <td>88.67</td>\n",
       "      <td>88.76</td>\n",
       "      <td>87.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2022-10-27</td>\n",
       "      <td>88.26</td>\n",
       "      <td>273717.0</td>\n",
       "      <td>88.26</td>\n",
       "      <td>89.79</td>\n",
       "      <td>87.33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2022-10-26</td>\n",
       "      <td>87.91</td>\n",
       "      <td>271474.0</td>\n",
       "      <td>85.07</td>\n",
       "      <td>88.41</td>\n",
       "      <td>84.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2022-10-25</td>\n",
       "      <td>85.32</td>\n",
       "      <td>226337.0</td>\n",
       "      <td>84.88</td>\n",
       "      <td>86.03</td>\n",
       "      <td>83.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2022-10-24</td>\n",
       "      <td>84.58</td>\n",
       "      <td>238458.0</td>\n",
       "      <td>85.24</td>\n",
       "      <td>85.92</td>\n",
       "      <td>82.63</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          ds  Close/Last         y   Open   High    Low\n",
       "0 2022-10-28       87.90  241417.0  88.67  88.76  87.08\n",
       "1 2022-10-27       88.26  273717.0  88.26  89.79  87.33\n",
       "2 2022-10-26       87.91  271474.0  85.07  88.41  84.14\n",
       "3 2022-10-25       85.32  226337.0  84.88  86.03  83.06\n",
       "4 2022-10-24       84.58  238458.0  85.24  85.92  82.63"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "crudeoil_analysis.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "#scatter plot to compare target variable(dependent variable) y-axis and independent variable(regressors) x-axis\n",
    "# sns.set(font_scale = 2)\n",
    "# sns.scatterplot(data = crudeoil_analysis ,\n",
    "#                 y = ['y'],\n",
    "#                 x = ['Close/Last' , 'High', 'Open' , 'Low'],\n",
    "#                 height = 6)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Close/Last</th>\n",
       "      <th>y</th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>87.90</td>\n",
       "      <td>241417.0</td>\n",
       "      <td>88.67</td>\n",
       "      <td>88.76</td>\n",
       "      <td>87.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>88.26</td>\n",
       "      <td>273717.0</td>\n",
       "      <td>88.26</td>\n",
       "      <td>89.79</td>\n",
       "      <td>87.33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>87.91</td>\n",
       "      <td>271474.0</td>\n",
       "      <td>85.07</td>\n",
       "      <td>88.41</td>\n",
       "      <td>84.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>85.32</td>\n",
       "      <td>226337.0</td>\n",
       "      <td>84.88</td>\n",
       "      <td>86.03</td>\n",
       "      <td>83.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>84.58</td>\n",
       "      <td>238458.0</td>\n",
       "      <td>85.24</td>\n",
       "      <td>85.92</td>\n",
       "      <td>82.63</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Close/Last         y   Open   High    Low\n",
       "0       87.90  241417.0  88.67  88.76  87.08\n",
       "1       88.26  273717.0  88.26  89.79  87.33\n",
       "2       87.91  271474.0  85.07  88.41  84.14\n",
       "3       85.32  226337.0  84.88  86.03  83.06\n",
       "4       84.58  238458.0  85.24  85.92  82.63"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "crudeoil_analysis_correlation = crudeoil_analysis.drop  (columns = [\"ds\"] , axis = 1)\n",
    "crudeoil_analysis_correlation.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#correlation matrix\n",
    "sns.heatmap(crudeoil_analysis_correlation.corr(),\n",
    "            annot = True ,\n",
    "            fmt = '.2g',\n",
    "            center = 0,\n",
    "            cmap = 'coolwarm',\n",
    "            linewidth = 1,\n",
    "            linecolor = 'black')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Multilinear Regression Preparation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ds</th>\n",
       "      <th>Close/Last</th>\n",
       "      <th>y</th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2022-10-28</td>\n",
       "      <td>87.90</td>\n",
       "      <td>241417.0</td>\n",
       "      <td>88.67</td>\n",
       "      <td>88.76</td>\n",
       "      <td>87.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2022-10-27</td>\n",
       "      <td>88.26</td>\n",
       "      <td>273717.0</td>\n",
       "      <td>88.26</td>\n",
       "      <td>89.79</td>\n",
       "      <td>87.33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2022-10-26</td>\n",
       "      <td>87.91</td>\n",
       "      <td>271474.0</td>\n",
       "      <td>85.07</td>\n",
       "      <td>88.41</td>\n",
       "      <td>84.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2022-10-25</td>\n",
       "      <td>85.32</td>\n",
       "      <td>226337.0</td>\n",
       "      <td>84.88</td>\n",
       "      <td>86.03</td>\n",
       "      <td>83.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2022-10-24</td>\n",
       "      <td>84.58</td>\n",
       "      <td>238458.0</td>\n",
       "      <td>85.24</td>\n",
       "      <td>85.92</td>\n",
       "      <td>82.63</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          ds  Close/Last         y   Open   High    Low\n",
       "0 2022-10-28       87.90  241417.0  88.67  88.76  87.08\n",
       "1 2022-10-27       88.26  273717.0  88.26  89.79  87.33\n",
       "2 2022-10-26       87.91  271474.0  85.07  88.41  84.14\n",
       "3 2022-10-25       85.32  226337.0  84.88  86.03  83.06\n",
       "4 2022-10-24       84.58  238458.0  85.24  85.92  82.63"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "crudeoil_analysis.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Isolate x and y\n",
    "y = crudeoil_analysis['y']\n",
    "x = crudeoil_analysis[['Close/Last' , 'Open' , 'High' , 'Low']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>const</th>\n",
       "      <th>Close/Last</th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1.0</td>\n",
       "      <td>87.90</td>\n",
       "      <td>88.67</td>\n",
       "      <td>88.76</td>\n",
       "      <td>87.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.0</td>\n",
       "      <td>88.26</td>\n",
       "      <td>88.26</td>\n",
       "      <td>89.79</td>\n",
       "      <td>87.33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1.0</td>\n",
       "      <td>87.91</td>\n",
       "      <td>85.07</td>\n",
       "      <td>88.41</td>\n",
       "      <td>84.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.0</td>\n",
       "      <td>85.32</td>\n",
       "      <td>84.88</td>\n",
       "      <td>86.03</td>\n",
       "      <td>83.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1.0</td>\n",
       "      <td>84.58</td>\n",
       "      <td>85.24</td>\n",
       "      <td>85.92</td>\n",
       "      <td>82.63</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   const  Close/Last   Open   High    Low\n",
       "0    1.0       87.90  88.67  88.76  87.08\n",
       "1    1.0       88.26  88.26  89.79  87.33\n",
       "2    1.0       87.91  85.07  88.41  84.14\n",
       "3    1.0       85.32  84.88  86.03  83.06\n",
       "4    1.0       84.58  85.24  85.92  82.63"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#adding a constant \n",
    "x = sm.add_constant(x)\n",
    "x.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>const</th>\n",
       "      <th>Close/Last</th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>523</th>\n",
       "      <td>1.0</td>\n",
       "      <td>38.72</td>\n",
       "      <td>39.90</td>\n",
       "      <td>40.47</td>\n",
       "      <td>37.61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1343</th>\n",
       "      <td>1.0</td>\n",
       "      <td>46.04</td>\n",
       "      <td>44.89</td>\n",
       "      <td>46.35</td>\n",
       "      <td>44.88</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      ],
      "text/plain": [
       "      const  Close/Last   Open   High    Low\n",
       "523     1.0       38.72  39.90  40.47  37.61\n",
       "1343    1.0       46.04  44.89  46.35  44.88"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Training and Testing Set\n",
    "from sklearn.model_selection import train_test_split\n",
    "x_train , x_test , y_train , y_test = train_test_split(x ,y ,\n",
    "                                                       test_size =0.2 ,\n",
    "                                                       random_state = 1502)\n",
    "\n",
    "x_train.head(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Multilinear Regression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                      y   R-squared:                       0.207\n",
      "Model:                            OLS   Adj. R-squared:                  0.205\n",
      "Method:                 Least Squares   F-statistic:                     132.6\n",
      "Date:                Sat, 13 Jul 2024   Prob (F-statistic):          9.21e-101\n",
      "Time:                        11:40:11   Log-Likelihood:                -27893.\n",
      "No. Observations:                2038   AIC:                         5.580e+04\n",
      "Df Residuals:                    2033   BIC:                         5.582e+04\n",
      "Df Model:                           4                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "==============================================================================\n",
      "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "const       6.365e+05   1.52e+04     41.812      0.000    6.07e+05    6.66e+05\n",
      "Close/Last -1.563e+04   7760.430     -2.015      0.044   -3.09e+04    -414.259\n",
      "Open         989.6420   6317.160      0.157      0.876   -1.14e+04    1.34e+04\n",
      "High        4.092e+04   7351.213      5.566      0.000    2.65e+04    5.53e+04\n",
      "Low        -3.098e+04   7180.634     -4.314      0.000   -4.51e+04   -1.69e+04\n",
      "==============================================================================\n",
      "Omnibus:                       15.549   Durbin-Watson:                   2.003\n",
      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):               21.577\n",
      "Skew:                           0.070   Prob(JB):                     2.06e-05\n",
      "Kurtosis:                       3.484   Cond. No.                         456.\n",
      "==============================================================================\n",
      "\n",
      "Notes:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n"
     ]
    }
   ],
   "source": [
    "#Multilinear Regression\n",
    "model = sm.OLS(y_train,x_train).fit()\n",
    "print(model.summary())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Explaination of the Result  Concerning Fuel Prices\n",
    "\n",
    "The coefficient \n",
    "The intercept (const) is 6.365e+05 which indicate that the const will be 6.365e+05 when all the independent variables is 0.\n",
    "\n",
    "The Close/Last is -1.563e+04 which means when Close/Last decrease by 1 unit ,the y(Volume) is expected to decrease by -1.563e+04\n",
    "\n",
    "The Open is 989.6420 which means when Open increase by 1 unit ,the y(Volume) is expected to increase by -1.563e+04\n",
    "\n",
    "The High is 4.092e+04 which means when High increase by 1 unit ,the y(Volume) is expected to increase by 4.092e+04\n",
    "\n",
    "The Low is -3.098e+04 which means when Low decrease by 1 unit ,the y(Volume) is expected to decrease by -3.098e+04\n",
    "\n",
    "\n",
    "\n",
    "The R-Squared \n",
    "\n",
    "The Adjusted R-Squared is 20.5% ,which means 20.5% of the variability of y(Volume) can be explained by the independent variables. A higher R-squared value indicates a better fit of the model to the data.\n",
    "\n",
    " \n",
    "The Confidence Interval\n",
    "\n",
    "The confidence interval for Close/Last is between the range (-3.09e+04  -  -414.259)\n",
    "The confidence interval for Open is between the range (-1.14e+04  -  1.34e+04)\n",
    "The confidence interval for High is between the range (2.65e+04  -  5.53e+04)\n",
    "The confidence interval for Low is between the range ( -4.51e+04 - -1.69e+04)\n",
    "These intervals provide a range of values within which we are reasonably confident the true population parameter lies\n",
    "\n",
    "\n",
    "Statistical Significance\n",
    "\n",
    "The independence variables are statistically significant because there are less than the significant level that is 0.005.\n",
    "Statistical significance indicates whether the independent variable has a significant effect on the dependent variable, holding other variables constant.\n",
    "In this case . the High and Low variable are statistically significant while the Close/Last and Open variable are insignificant statistically . The High and Low variable have an effect on the y(Volume) determing the price at the end of the day.`\n",
    "\n"
   ]
  }
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