Stock Prediction Models.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "XXD3qEUzEjxa"
   },
   "source": [
    "# Ứng dụng phân tích kỹ thuật, machine learning và deep learning vào dự đoán giá chứng khoán\n",
    "\n",
    "## 1. Giới thiệu\n",
    "\n",
    "Trong đề tài này, nhiều mô hình khác nhau sẽ được sử dụng để dự báo giá Đóng cửa điều chỉnh cho dữ liệu giá cổ phiếu của Tập đoàn Microsoft. Từ các chỉ số phân tích kỹ thuật đơn giản (như đường Trung bình động – Moving Average), thuật toán Hồi quy tuyến tính (Linear Regression), các mô hình máy học từ đơn giản (k-Nearest Neighbor) đến phức tạp hơn (Prophet), và đến cuối cùng là thuật toán học sâu (LSTM - Long Short Term Memory). Các phương pháp sẽ được ứng dụng lần lượt và so sánh kết quả để tìm ra được đâu là mô hình mang lại hiệu quả tối ưu nhất. \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "gqz6PUZVE2_9"
   },
   "source": [
    "## 2. Install/import thư viện"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "id": "qY6qkQediyN9"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: yfinance in c:\\users\\admin\\anaconda3\\lib\\site-packages (0.2.3)\n",
      "Requirement already satisfied: numpy>=1.16.5 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from yfinance) (1.21.5)\n",
      "Requirement already satisfied: lxml>=4.9.1 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from yfinance) (4.9.1)\n",
      "Requirement already satisfied: appdirs>=1.4.4 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from yfinance) (1.4.4)\n",
      "Requirement already satisfied: frozendict>=2.3.4 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from yfinance) (2.3.4)\n",
      "Requirement already satisfied: pandas>=1.3.0 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from yfinance) (1.4.4)\n",
      "Requirement already satisfied: cryptography>=3.3.2 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from yfinance) (37.0.1)\n",
      "Requirement already satisfied: requests>=2.26 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from yfinance) (2.28.1)\n",
      "Requirement already satisfied: pytz>=2022.5 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from yfinance) (2022.7)\n",
      "Requirement already satisfied: multitasking>=0.0.7 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from yfinance) (0.0.11)\n",
      "Requirement already satisfied: beautifulsoup4>=4.11.1 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from yfinance) (4.11.1)\n",
      "Requirement already satisfied: html5lib>=1.1 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from yfinance) (1.1)\n",
      "Requirement already satisfied: soupsieve>1.2 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from beautifulsoup4>=4.11.1->yfinance) (2.3.1)\n",
      "Requirement already satisfied: cffi>=1.12 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from cryptography>=3.3.2->yfinance) (1.15.1)\n",
      "Requirement already satisfied: six>=1.9 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from html5lib>=1.1->yfinance) (1.16.0)\n",
      "Requirement already satisfied: webencodings in c:\\users\\admin\\anaconda3\\lib\\site-packages (from html5lib>=1.1->yfinance) (0.5.1)\n",
      "Requirement already satisfied: python-dateutil>=2.8.1 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from pandas>=1.3.0->yfinance) (2.8.2)\n",
      "Requirement already satisfied: urllib3<1.27,>=1.21.1 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from requests>=2.26->yfinance) (1.26.11)\n",
      "Requirement already satisfied: idna<4,>=2.5 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from requests>=2.26->yfinance) (3.3)\n",
      "Requirement already satisfied: certifi>=2017.4.17 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from requests>=2.26->yfinance) (2022.9.14)\n",
      "Requirement already satisfied: charset-normalizer<3,>=2 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from requests>=2.26->yfinance) (2.0.4)\n",
      "Requirement already satisfied: pycparser in c:\\users\\admin\\anaconda3\\lib\\site-packages (from cffi>=1.12->cryptography>=3.3.2->yfinance) (2.21)\n",
      "Requirement already satisfied: prophet in c:\\users\\admin\\anaconda3\\lib\\site-packages (1.1.1)\n",
      "Requirement already satisfied: setuptools-git>=1.2 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from prophet) (1.2)\n",
      "Requirement already satisfied: matplotlib>=2.0.0 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from prophet) (3.5.2)\n",
      "Requirement already satisfied: pandas>=1.0.4 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from prophet) (1.4.4)\n",
      "Requirement already satisfied: convertdate>=2.1.2 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from prophet) (2.4.0)\n",
      "Requirement already satisfied: LunarCalendar>=0.0.9 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from prophet) (0.0.9)\n",
      "Requirement already satisfied: tqdm>=4.36.1 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from prophet) (4.64.1)\n",
      "Requirement already satisfied: setuptools>=42 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from prophet) (63.4.1)\n",
      "Requirement already satisfied: numpy>=1.15.4 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from prophet) (1.21.5)\n",
      "Requirement already satisfied: holidays>=0.14.2 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from prophet) (0.18)\n",
      "Requirement already satisfied: python-dateutil>=2.8.0 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from prophet) (2.8.2)\n",
      "Requirement already satisfied: cmdstanpy>=1.0.4 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from prophet) (1.0.8)\n",
      "Requirement already satisfied: wheel>=0.37.0 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from prophet) (0.37.1)\n",
      "Requirement already satisfied: pymeeus<=1,>=0.3.13 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from convertdate>=2.1.2->prophet) (0.5.12)\n",
      "Requirement already satisfied: hijri-converter in c:\\users\\admin\\anaconda3\\lib\\site-packages (from holidays>=0.14.2->prophet) (2.2.4)\n",
      "Requirement already satisfied: korean-lunar-calendar in c:\\users\\admin\\anaconda3\\lib\\site-packages (from holidays>=0.14.2->prophet) (0.3.1)\n",
      "Requirement already satisfied: ephem>=3.7.5.3 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from LunarCalendar>=0.0.9->prophet) (4.1.4)\n",
      "Requirement already satisfied: pytz in c:\\users\\admin\\anaconda3\\lib\\site-packages (from LunarCalendar>=0.0.9->prophet) (2022.7)\n",
      "Requirement already satisfied: fonttools>=4.22.0 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from matplotlib>=2.0.0->prophet) (4.25.0)\n",
      "Requirement already satisfied: packaging>=20.0 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from matplotlib>=2.0.0->prophet) (21.3)\n",
      "Requirement already satisfied: cycler>=0.10 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from matplotlib>=2.0.0->prophet) (0.11.0)\n",
      "Requirement already satisfied: kiwisolver>=1.0.1 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from matplotlib>=2.0.0->prophet) (1.4.2)\n",
      "Requirement already satisfied: pyparsing>=2.2.1 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from matplotlib>=2.0.0->prophet) (3.0.9)\n",
      "Requirement already satisfied: pillow>=6.2.0 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from matplotlib>=2.0.0->prophet) (9.2.0)\n",
      "Requirement already satisfied: six>=1.5 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from python-dateutil>=2.8.0->prophet) (1.16.0)\n",
      "Requirement already satisfied: colorama in c:\\users\\admin\\anaconda3\\lib\\site-packages (from tqdm>=4.36.1->prophet) (0.4.5)\n",
      "Requirement already satisfied: tensorflow in c:\\users\\admin\\anaconda3\\lib\\site-packages (2.11.0)\n",
      "Requirement already satisfied: tensorflow-intel==2.11.0 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from tensorflow) (2.11.0)\n",
      "Requirement already satisfied: typing-extensions>=3.6.6 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from tensorflow-intel==2.11.0->tensorflow) (4.3.0)\n",
      "Requirement already satisfied: termcolor>=1.1.0 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from tensorflow-intel==2.11.0->tensorflow) (2.2.0)\n",
      "Requirement already satisfied: absl-py>=1.0.0 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from tensorflow-intel==2.11.0->tensorflow) (1.3.0)\n",
      "Requirement already satisfied: keras<2.12,>=2.11.0 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from tensorflow-intel==2.11.0->tensorflow) (2.11.0)\n",
      "Requirement already satisfied: astunparse>=1.6.0 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from tensorflow-intel==2.11.0->tensorflow) (1.6.3)\n",
      "Requirement already satisfied: setuptools in c:\\users\\admin\\anaconda3\\lib\\site-packages (from tensorflow-intel==2.11.0->tensorflow) (63.4.1)\n",
      "Requirement already satisfied: h5py>=2.9.0 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from tensorflow-intel==2.11.0->tensorflow) (3.7.0)\n",
      "Requirement already satisfied: packaging in c:\\users\\admin\\anaconda3\\lib\\site-packages (from tensorflow-intel==2.11.0->tensorflow) (21.3)\n",
      "Requirement already satisfied: numpy>=1.20 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from tensorflow-intel==2.11.0->tensorflow) (1.21.5)\n",
      "Requirement already satisfied: six>=1.12.0 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from tensorflow-intel==2.11.0->tensorflow) (1.16.0)\n",
      "Requirement already satisfied: tensorflow-estimator<2.12,>=2.11.0 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from tensorflow-intel==2.11.0->tensorflow) (2.11.0)\n",
      "Requirement already satisfied: gast<=0.4.0,>=0.2.1 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from tensorflow-intel==2.11.0->tensorflow) (0.4.0)\n",
      "Requirement already satisfied: opt-einsum>=2.3.2 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from tensorflow-intel==2.11.0->tensorflow) (3.3.0)\n",
      "Requirement already satisfied: libclang>=13.0.0 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from tensorflow-intel==2.11.0->tensorflow) (15.0.6.1)\n",
      "Requirement already satisfied: wrapt>=1.11.0 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from tensorflow-intel==2.11.0->tensorflow) (1.14.1)\n",
      "Requirement already satisfied: google-pasta>=0.1.1 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from tensorflow-intel==2.11.0->tensorflow) (0.2.0)\n",
      "Requirement already satisfied: protobuf<3.20,>=3.9.2 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from tensorflow-intel==2.11.0->tensorflow) (3.19.6)\n",
      "Requirement already satisfied: tensorflow-io-gcs-filesystem>=0.23.1 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from tensorflow-intel==2.11.0->tensorflow) (0.29.0)\n",
      "Requirement already satisfied: flatbuffers>=2.0 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from tensorflow-intel==2.11.0->tensorflow) (23.1.4)\n",
      "Requirement already satisfied: tensorboard<2.12,>=2.11 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from tensorflow-intel==2.11.0->tensorflow) (2.11.0)\n",
      "Requirement already satisfied: grpcio<2.0,>=1.24.3 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from tensorflow-intel==2.11.0->tensorflow) (1.51.1)\n",
      "Requirement already satisfied: wheel<1.0,>=0.23.0 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from astunparse>=1.6.0->tensorflow-intel==2.11.0->tensorflow) (0.37.1)\n",
      "Requirement already satisfied: google-auth-oauthlib<0.5,>=0.4.1 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from tensorboard<2.12,>=2.11->tensorflow-intel==2.11.0->tensorflow) (0.4.6)\n",
      "Requirement already satisfied: requests<3,>=2.21.0 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from tensorboard<2.12,>=2.11->tensorflow-intel==2.11.0->tensorflow) (2.28.1)\n",
      "Requirement already satisfied: tensorboard-plugin-wit>=1.6.0 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from tensorboard<2.12,>=2.11->tensorflow-intel==2.11.0->tensorflow) (1.8.1)\n",
      "Requirement already satisfied: markdown>=2.6.8 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from tensorboard<2.12,>=2.11->tensorflow-intel==2.11.0->tensorflow) (3.3.4)\n",
      "Requirement already satisfied: tensorboard-data-server<0.7.0,>=0.6.0 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from tensorboard<2.12,>=2.11->tensorflow-intel==2.11.0->tensorflow) (0.6.1)\n",
      "Requirement already satisfied: werkzeug>=1.0.1 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from tensorboard<2.12,>=2.11->tensorflow-intel==2.11.0->tensorflow) (2.0.3)\n",
      "Requirement already satisfied: google-auth<3,>=1.6.3 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from tensorboard<2.12,>=2.11->tensorflow-intel==2.11.0->tensorflow) (2.15.0)\n",
      "Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from packaging->tensorflow-intel==2.11.0->tensorflow) (3.0.9)\n",
      "Requirement already satisfied: cachetools<6.0,>=2.0.0 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from google-auth<3,>=1.6.3->tensorboard<2.12,>=2.11->tensorflow-intel==2.11.0->tensorflow) (5.2.1)\n",
      "Requirement already satisfied: rsa<5,>=3.1.4 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from google-auth<3,>=1.6.3->tensorboard<2.12,>=2.11->tensorflow-intel==2.11.0->tensorflow) (4.9)\n",
      "Requirement already satisfied: pyasn1-modules>=0.2.1 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from google-auth<3,>=1.6.3->tensorboard<2.12,>=2.11->tensorflow-intel==2.11.0->tensorflow) (0.2.8)\n",
      "Requirement already satisfied: requests-oauthlib>=0.7.0 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from google-auth-oauthlib<0.5,>=0.4.1->tensorboard<2.12,>=2.11->tensorflow-intel==2.11.0->tensorflow) (1.3.1)\n",
      "Requirement already satisfied: charset-normalizer<3,>=2 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from requests<3,>=2.21.0->tensorboard<2.12,>=2.11->tensorflow-intel==2.11.0->tensorflow) (2.0.4)\n",
      "Requirement already satisfied: urllib3<1.27,>=1.21.1 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from requests<3,>=2.21.0->tensorboard<2.12,>=2.11->tensorflow-intel==2.11.0->tensorflow) (1.26.11)\n",
      "Requirement already satisfied: certifi>=2017.4.17 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from requests<3,>=2.21.0->tensorboard<2.12,>=2.11->tensorflow-intel==2.11.0->tensorflow) (2022.9.14)\n",
      "Requirement already satisfied: idna<4,>=2.5 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from requests<3,>=2.21.0->tensorboard<2.12,>=2.11->tensorflow-intel==2.11.0->tensorflow) (3.3)\n",
      "Requirement already satisfied: pyasn1<0.5.0,>=0.4.6 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from pyasn1-modules>=0.2.1->google-auth<3,>=1.6.3->tensorboard<2.12,>=2.11->tensorflow-intel==2.11.0->tensorflow) (0.4.8)\n",
      "Requirement already satisfied: oauthlib>=3.0.0 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from requests-oauthlib>=0.7.0->google-auth-oauthlib<0.5,>=0.4.1->tensorboard<2.12,>=2.11->tensorflow-intel==2.11.0->tensorflow) (3.2.2)\n"
     ]
    }
   ],
   "source": [
    "import sys\n",
    "!{sys.executable} -m pip install yfinance\n",
    "!{sys.executable} -m pip install prophet\n",
    "!{sys.executable} -m pip install tensorflow"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "id": "l387xTS7i5lU"
   },
   "outputs": [],
   "source": [
    "import yfinance as yf\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import plotly.graph_objects as go\n",
    "import re\n",
    "import csv\n",
    "import statsmodels.tsa.api as smt\n",
    "import statsmodels.api as sm\n",
    "import datetime\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "\n",
    "%matplotlib inline\n",
    "\n",
    "from pandas import DataFrame\n",
    "\n",
    "from sklearn.linear_model import LinearRegression\n",
    "from sklearn.neighbors import KNeighborsRegressor\n",
    "from sklearn.preprocessing import MinMaxScaler\n",
    "from sklearn.model_selection import GridSearchCV\n",
    "\n",
    "from keras.models import Sequential\n",
    "from keras.layers import Dense, Dropout, LSTM\n",
    "\n",
    "#from pmdarima import auto_arima\n",
    "from prophet import Prophet\n",
    "from prophet.plot import add_changepoints_to_plot\n",
    "\n",
    "from statsmodels.tsa.stattools import adfuller\n",
    "from statsmodels.graphics.tsaplots import plot_acf, plot_pacf\n",
    "from statsmodels.graphics.gofplots import qqplot\n",
    "#from statsmodels.tsa.arima.model import ARIMA\n",
    "#from statsmodels.tsa.statespace.sarimax import SARIMAX\n",
    "from statsmodels.stats.diagnostic import acorr_ljungbox\n",
    "from itertools import product\n",
    "from tqdm.notebook import tqdm\n",
    "from datetime import date, timedelta\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "YZLI71YkFCaQ"
   },
   "source": [
    "## 3. Import data\n",
    "\n",
    "\n",
    "Đọc dữ liệu Microsoft từ Yahoo Finance bằng cách sử dụng API yfinance vào DataFrame của pandas."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "YKxRevadsU9F",
    "outputId": "e320c1a2-bb04-4bbf-b19a-310dc858b333"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[*********************100%***********************]  1 of 1 completed\n"
     ]
    }
   ],
   "source": [
    "msft_df = yf.download(\"MSFT\", start=\"2010-01-01\", end=\"2023-01-10\")[['Adj Close','Open', 'High', 'Low', 'Close', 'Volume']].round(2)\n",
    "msft_df.to_csv(\"microsoft_data.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 450
    },
    "id": "Cl_WByuPs7PB",
    "outputId": "3011d5ca-66b4-4141-abc4-b990c2a2b885",
    "scrolled": true
   },
   "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>Adj Close</th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Volume</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2010-01-04</th>\n",
       "      <td>23.68</td>\n",
       "      <td>30.62</td>\n",
       "      <td>31.10</td>\n",
       "      <td>30.59</td>\n",
       "      <td>30.95</td>\n",
       "      <td>38409100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-05</th>\n",
       "      <td>23.69</td>\n",
       "      <td>30.85</td>\n",
       "      <td>31.10</td>\n",
       "      <td>30.64</td>\n",
       "      <td>30.96</td>\n",
       "      <td>49749600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-06</th>\n",
       "      <td>23.55</td>\n",
       "      <td>30.88</td>\n",
       "      <td>31.08</td>\n",
       "      <td>30.52</td>\n",
       "      <td>30.77</td>\n",
       "      <td>58182400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-07</th>\n",
       "      <td>23.30</td>\n",
       "      <td>30.63</td>\n",
       "      <td>30.70</td>\n",
       "      <td>30.19</td>\n",
       "      <td>30.45</td>\n",
       "      <td>50559700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-08</th>\n",
       "      <td>23.46</td>\n",
       "      <td>30.28</td>\n",
       "      <td>30.88</td>\n",
       "      <td>30.24</td>\n",
       "      <td>30.66</td>\n",
       "      <td>51197400</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>2023-01-03</th>\n",
       "      <td>239.58</td>\n",
       "      <td>243.08</td>\n",
       "      <td>245.75</td>\n",
       "      <td>237.40</td>\n",
       "      <td>239.58</td>\n",
       "      <td>25740000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-04</th>\n",
       "      <td>229.10</td>\n",
       "      <td>232.28</td>\n",
       "      <td>232.87</td>\n",
       "      <td>225.96</td>\n",
       "      <td>229.10</td>\n",
       "      <td>50623400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-05</th>\n",
       "      <td>222.31</td>\n",
       "      <td>227.20</td>\n",
       "      <td>227.55</td>\n",
       "      <td>221.76</td>\n",
       "      <td>222.31</td>\n",
       "      <td>39585600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-06</th>\n",
       "      <td>224.93</td>\n",
       "      <td>223.00</td>\n",
       "      <td>225.76</td>\n",
       "      <td>219.35</td>\n",
       "      <td>224.93</td>\n",
       "      <td>43597700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-09</th>\n",
       "      <td>227.12</td>\n",
       "      <td>226.45</td>\n",
       "      <td>231.23</td>\n",
       "      <td>226.41</td>\n",
       "      <td>227.12</td>\n",
       "      <td>27302287</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3277 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Adj Close    Open    High     Low   Close    Volume\n",
       "Date                                                           \n",
       "2010-01-04      23.68   30.62   31.10   30.59   30.95  38409100\n",
       "2010-01-05      23.69   30.85   31.10   30.64   30.96  49749600\n",
       "2010-01-06      23.55   30.88   31.08   30.52   30.77  58182400\n",
       "2010-01-07      23.30   30.63   30.70   30.19   30.45  50559700\n",
       "2010-01-08      23.46   30.28   30.88   30.24   30.66  51197400\n",
       "...               ...     ...     ...     ...     ...       ...\n",
       "2023-01-03     239.58  243.08  245.75  237.40  239.58  25740000\n",
       "2023-01-04     229.10  232.28  232.87  225.96  229.10  50623400\n",
       "2023-01-05     222.31  227.20  227.55  221.76  222.31  39585600\n",
       "2023-01-06     224.93  223.00  225.76  219.35  224.93  43597700\n",
       "2023-01-09     227.12  226.45  231.23  226.41  227.12  27302287\n",
       "\n",
       "[3277 rows x 6 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "msft_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 544
    },
    "id": "Z6G3Nk6UtICE",
    "outputId": "a73e8487-f896-453e-e197-95a16b4540dc"
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot giá vào\n",
    "\n",
    "msft_df['Adj Close'].plot(grid = True)\n",
    "sns.set(rc={'figure.figsize':(15, 9)})\n",
    "plt.title('Giá đóng cửa điều chỉnh của Microsoft', color = 'black', fontsize = 20)\n",
    "plt.xlabel('Năm', color = 'black', fontsize = 15)\n",
    "plt.ylabel('Giá cổ phiếu', color = 'black', fontsize = 15);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "4zRjLpjKj6D-"
   },
   "source": [
    "## 4. Đường trung bình động - Moving Average\n",
    "\n",
    "Đường trung bình động là một chỉ số phân tích kỹ thuật đơn giản, theo đó quan sát tiếp theo là giá trị trung bình của tất cả các quan sát trong quá khứ tạo ra một mức giá trung bình được cập nhật liên tục.\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 450
    },
    "id": "hYdCjR6ODW8-",
    "outputId": "0326c4f8-2256-4cfa-966b-35a2417c591a"
   },
   "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>Adj Close</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2010-01-04</th>\n",
       "      <td>23.68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-05</th>\n",
       "      <td>23.69</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-06</th>\n",
       "      <td>23.55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-07</th>\n",
       "      <td>23.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-08</th>\n",
       "      <td>23.46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-03</th>\n",
       "      <td>239.58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-04</th>\n",
       "      <td>229.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-05</th>\n",
       "      <td>222.31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-06</th>\n",
       "      <td>224.93</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-09</th>\n",
       "      <td>227.12</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3277 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Adj Close\n",
       "Date                 \n",
       "2010-01-04      23.68\n",
       "2010-01-05      23.69\n",
       "2010-01-06      23.55\n",
       "2010-01-07      23.30\n",
       "2010-01-08      23.46\n",
       "...               ...\n",
       "2023-01-03     239.58\n",
       "2023-01-04     229.10\n",
       "2023-01-05     222.31\n",
       "2023-01-06     224.93\n",
       "2023-01-09     227.12\n",
       "\n",
       "[3277 rows x 1 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Tạo DataFrame cho Giá đóng cửa điều chỉnh\n",
    "\n",
    "msft_adj = msft_df[['Adj Close']]\n",
    "msft_adj "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "kYKZFJgwnCWc"
   },
   "source": [
    "\n",
    "### Split dữ liệu\n",
    "\n",
    "Chúng ta sẽ chia dữ liệu thành train set và test set để xác minh kết quả dự đoán. Vì đây là dữ liệu dạng Time series nên ta không thể chia ngẫu nhiên được. Vậy nên là ta sẽ chia 80% đầu là train set và 20% còn lại là test set."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "id": "p4PW5qfTGklf"
   },
   "outputs": [],
   "source": [
    "# Tạo split tỉ lệ 80%/20%\n",
    "\n",
    "split = int(0.8*len(msft_adj))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "id": "mtTCNhaW-egV"
   },
   "outputs": [],
   "source": [
    "# Chia thành train và test set\n",
    "\n",
    "train, test = msft_adj[:split], msft_adj[split:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "UEaffxhfAzwj",
    "outputId": "81b7db54-b06d-4884-cb74-79676ca6614f"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((3277, 1), (2621, 1), (656, 1))"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "msft_adj.shape, train.shape, test.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "EiB0F4ZlD6gE",
    "outputId": "93ce90e0-26aa-41b9-90d3-b6a54a289913"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(Timestamp('2010-01-04 00:00:00'),\n",
       " Timestamp('2020-06-02 00:00:00'),\n",
       " Timestamp('2020-06-03 00:00:00'),\n",
       " Timestamp('2023-01-09 00:00:00'))"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.index.min(), train.index.max(), test.index.min(), test.index.max()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "nwp54B7anUYR"
   },
   "source": [
    "### Tạo dự đoán cho test set"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "id": "l1HVTcNfFTJ6"
   },
   "outputs": [],
   "source": [
    "# Tạo dự đoán\n",
    "preds = []\n",
    "for i in range(0,656):\n",
    "    a = train[len(train)-656+i:].sum() + sum(preds)\n",
    "    b = a/656\n",
    "    preds.append(b)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "BeMRICdcnkOH"
   },
   "source": [
    "### Tính chỉ số RMSE \n",
    "\n",
    "Chúng ta sẽ đánh giá mô hình bằng cách tính toán chỉ số RMSE hoặc Độ lệch gốc-trung bình-bình phương (Root-mean-square deviation), một thước đo tốt để xem xét mức độ chính xác của các mô hình dự đoán phản hồi."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "42cAnN8HSGhj",
    "outputId": "d5169d5f-64cc-4003-b0b0-58c65165e155"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "129.66943940620172"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Tính rmse\n",
    "rmse = np.sqrt(np.mean(np.power((np.array(test)-preds),2)))\n",
    "rmse"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "fcmId-idoAtP"
   },
   "source": [
    "### Trực quan hóa các dữ liệu dự đoán và thực tế"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 632
    },
    "id": "eN7Bn0nnR82g",
    "outputId": "de8881f1-c889-402d-a9d7-03b428ebb024"
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 2000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot thông số dự đoán và thực tế\n",
    "plt.figure(figsize=(20,10))\n",
    "sns.set_style(\"whitegrid\")\n",
    "test['Predictions'] = 0\n",
    "test['Predictions'] = preds\n",
    "plt.plot(train, label='Training')\n",
    "plt.plot(test['Adj Close'], label='Actual')\n",
    "plt.plot(test['Predictions'], label='Predicted')\n",
    "plt.title(\"Microsoft giá đóng cửa điều chỉnh - Đường trung bình động\", color = 'black', fontsize = 20)\n",
    "plt.xlabel('Năm', color = 'black', fontsize = 15)\n",
    "plt.ylabel('Giá chứng khoán', color = 'black', fontsize = 15)\n",
    "plt.legend();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "-nn8v8lTJO2M"
   },
   "source": [
    "Các giá trị dự đoán ban đầu cho thấy xu hướng tăng, sau đó chững lại và bắt đầu giảm dần."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "uy1wh8jqrn-y"
   },
   "source": [
    "## 5. Hồi quy tuyến tính - Linear Regression\n",
    "\n",
    "Mô hình này áp dụng cách tiếp cận tuyến tính để mô hình hóa mối quan hệ giữa biến phụ thuộc và (các) biến độc lập, đồng thời cũng là hình thức học máy đơn giản nhất."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "id": "fMPXcSjygTHL"
   },
   "outputs": [],
   "source": [
    "msft_adj['Date'] = pd.to_datetime(msft_adj.index, format='%Y-%m-%d')\n",
    "msft_adj.index = msft_adj['Date']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "id": "clNoBi1jtXVt"
   },
   "outputs": [],
   "source": [
    "# Tạo tập dữ liệu riêng cho giá đóng cửa điều chỉnh\n",
    "msft_adj = pd.DataFrame(index=range(0,len(msft_df)),columns=['Date', 'Adj Close'])\n",
    "\n",
    "for i in range(0,len(msft_df)):\n",
    "     msft_adj['Date'][i] = msft_df.index[i]\n",
    "     msft_adj['Adj Close'][i] = msft_df['Adj Close'][i]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "vxyeafjjszUj"
   },
   "source": [
    "### Feature engineering (tạm dịch: Trích chọn đặc trưng)\n",
    "\n",
    "Giả thuyết cho rằng, những ngày đầu tiên và cuối cùng trong tuần có khả năng ảnh hưởng nhiều đến giá đóng cửa điều chỉnh. Vì vậy chúng ta sẽ thêm một tính năng để phân loại các ngày dựa vào ngày trong tuần của chúng. \n",
    "\n",
    "Nếu số ngày là 0 (thứ hai) hoặc 4(thứ sáu) thì cột ghi chú sẽ hiện thị 1, và ngược lại, nếu ngày rơi vào thứ ba, tư, năm, cột hiện thị sẽ ghi là 0."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "id": "by--P_K0xs2S"
   },
   "outputs": [],
   "source": [
    "def add_datepart(df, fldname, drop=True, time=False):\n",
    "    fld = df[fldname]\n",
    "    fld_dtype = fld.dtype\n",
    "    if isinstance(fld_dtype, pd.core.dtypes.dtypes.DatetimeTZDtype):\n",
    "        fld_dtype = np.datetime64\n",
    "\n",
    "    if not np.issubdtype(fld_dtype, np.datetime64):\n",
    "        df[fldname] = fld = pd.to_datetime(fld, infer_datetime_format=True)\n",
    "    targ_pre = re.sub('[Dd]ate$', '', fldname)\n",
    "    attr = ['Year', 'Month', 'Week', 'Day', 'Dayofweek', 'Dayofyear',\n",
    "            'Is_month_end', 'Is_month_start', 'Is_quarter_end', 'Is_quarter_start', 'Is_year_end', 'Is_year_start']\n",
    "    if time: attr = attr + ['Hour', 'Minute', 'Second']\n",
    "    for n in attr: df[targ_pre + n] = getattr(fld.dt, n.lower())\n",
    "    df[targ_pre + 'Elapsed'] = fld.astype(np.int64) // 10 ** 9\n",
    "    if drop: df.drop(fldname, axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "id": "yVwxDpDcKJ74"
   },
   "outputs": [],
   "source": [
    "# Gọi function để add cột vào\n",
    "add_datepart(msft_adj, 'Date')\n",
    "msft_adj.drop('Elapsed', axis=1, inplace=True) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "St5cesRStxgA",
    "outputId": "af4b458f-db96-48c9-a201-4eabe0bafe0c"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Adj Close', 'Year', 'Month', 'Week', 'Day', 'Dayofweek', 'Dayofyear',\n",
       "       'Is_month_end', 'Is_month_start', 'Is_quarter_end', 'Is_quarter_start',\n",
       "       'Is_year_end', 'Is_year_start'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Print cột\n",
    "msft_adj.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "id": "gK8TOglkMXuQ"
   },
   "outputs": [],
   "source": [
    "# Tạo tính năng\n",
    "msft_adj['mon_fri'] = 0\n",
    "for i in range(0,len(msft_adj)):\n",
    "    if (msft_adj['Dayofweek'][i] == 0 or msft_adj['Dayofweek'][i] == 4):\n",
    "        msft_adj['mon_fri'][i] = 1\n",
    "    else:\n",
    "        msft_adj['mon_fri'][i] = 0"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "ABtbtIPYzOwK"
   },
   "source": [
    "### Split data thành train và test set "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "id": "IwGy9VNtMyjn"
   },
   "outputs": [],
   "source": [
    "split = int(0.8*len(msft_adj))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "id": "pfHfBW1dM26n"
   },
   "outputs": [],
   "source": [
    "train, test = msft_adj[:split], msft_adj[split:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "VpXD-dsTYhis",
    "outputId": "81dc344d-4897-46bd-cacf-12d2deda3491"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((3277, 14), (2621, 14), (656, 14))"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "msft_adj.shape, train.shape, test.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "id": "MqCUeRH1NyRg"
   },
   "outputs": [],
   "source": [
    "X_train = train.drop('Adj Close', axis=1)\n",
    "y_train = train['Adj Close']\n",
    "X_test = test.drop('Adj Close', axis=1)\n",
    "y_test = test['Adj Close']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "LyTTo_1IOATP",
    "outputId": "b28d48c2-5585-4948-b449-a37348b2c2df"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((2621, 13), (2621,), (656, 13), (656,))"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train.shape, y_train.shape, X_test.shape, y_test.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "b01VcrvLVqIB"
   },
   "source": [
    "### Tạo và train mô hình Hồi quy tuyến tính\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "7Z-WRBJPWbIH",
    "outputId": "79b40b49-67c8-40ad-c143-9ff027f6d4c9"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LinearRegression()"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Tạo model\n",
    "model = LinearRegression()\n",
    "\n",
    "# Train model\n",
    "model.fit(X_train,y_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "MSN_4xthznNo"
   },
   "source": [
    "### Test model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "id": "AgVUqrwkWKfX"
   },
   "outputs": [],
   "source": [
    "# Tạo dự báo \n",
    "preds = model.predict(X_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "qj9v4BrOWTO-"
   },
   "source": [
    "### Tính chỉ số RMSE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "GqpIiBxAb0lP",
    "outputId": "77603a40-4f62-4b88-f4aa-f3915fd9ec33"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "126.67409849306932"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rmse = np.sqrt(np.mean(np.power((np.array(y_test)-np.array(preds)),2)))\n",
    "rmse"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "5vSCw3mAXC0b"
   },
   "source": [
    "### Trực quan hóa các dữ liệu dự đoán và thực tế"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 632
    },
    "id": "zzD77VDudB9o",
    "outputId": "7c46b3f6-e755-4c56-cfaa-6b3888b3fae5"
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 2000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot thông số dự đoán và thực tế\n",
    "plt.figure(figsize=(20,10))\n",
    "sns.set_style(\"whitegrid\")\n",
    "test['Predictions'] = 0\n",
    "test['Predictions'] = preds\n",
    "\n",
    "test.index = msft_df[split:].index\n",
    "train.index = msft_df[:split].index\n",
    "\n",
    "plt.plot(train['Adj Close'], label='Training')\n",
    "plt.plot(test['Adj Close'], label='Actual')\n",
    "plt.plot(test['Predictions'], label='Predicted')\n",
    "plt.title(\"Microsoft giá đóng cửa điều chỉnh - Hồi quy tuyến tính\", color = 'black', fontsize = 20)\n",
    "plt.xlabel('Năm', color = 'black', fontsize = 15)\n",
    "plt.ylabel('Giá chứng khoán', color = 'black', fontsize = 15)\n",
    "plt.legend();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "FBx22diVOwVS"
   },
   "source": [
    "Giá trị RMSE thấp hơn so với Đường trung bình động, nhưng đồ thị cho thấy mô hình Hồi quy tuyến tính vẫn có vẻ không quá hứa hẹn"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "LPTehCKX4OqX"
   },
   "source": [
    "## 6. k-Nearest Neighbours\n",
    "\n",
    "Dựa trên các biến độc lập, k-Nearest Neighbors tìm thấy sự giống nhau giữa các điểm dữ liệu mới, cũ và giả định rằng các điểm dữ liệu tương tự tồn tại ở gần nhau. Nó chọn k cho “hàng xóm” gần nhất và sau đó dựa trên những “hàng xóm” này để dự đoán một giá trị cho quan sát mới. k-Nearest Neighbours được biết đến như là một mô hình machine learning đơn giản. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "J8aqygG_LEPl"
   },
   "source": [
    "### Feature scaling (tạm dịch: Scaling trích chọn)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "id": "9tNIKd44lC8y"
   },
   "outputs": [],
   "source": [
    "# Normalisation - thay đổi tỷ lệ dữ liệu để tất cả các giá trị nằm trong phạm vi 0 và 1\n",
    "scaler = MinMaxScaler(feature_range=(0, 1))\n",
    "\n",
    "X_train_scaled = scaler.fit_transform(X_train)\n",
    "X_train = pd.DataFrame(X_train_scaled)\n",
    "X_test_scaled = scaler.transform(X_test) \n",
    "X_test = pd.DataFrame(X_test_scaled)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "WDspX3t3LbYP"
   },
   "source": [
    "### GridSearch tìm tham số tối ưu"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "id": "QlhRdOxGlWfZ"
   },
   "outputs": [],
   "source": [
    "# Tạo thư viện cho tham số\n",
    "params = {'n_neighbors':[2,3,4,5,6,7,8,9]}\n",
    "# Tạo model\n",
    "knn = KNeighborsRegressor()\n",
    "# Dùng GridSearch để tìm tham số tối ưu\n",
    "model = GridSearchCV(knn, params, cv=5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "QoMaX-JSLtiu"
   },
   "source": [
    "### Train và test model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "id": "a_Gxtwdhlavw"
   },
   "outputs": [],
   "source": [
    "# Fit model và tạo dự đoán\n",
    "model.fit(X_train,y_train)\n",
    "preds = model.predict(X_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Kssy4M40ME9Z"
   },
   "source": [
    "### Tính chỉ số RMSE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "Ryhla-MKiRfC",
    "outputId": "163009b6-aa01-4a37-93c5-2da778c641de"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "125.69537924123371"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rmse = np.sqrt(np.mean(np.power((np.array(y_test)-np.array(preds)),2)))\n",
    "rmse"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "daUjslQB42nR"
   },
   "source": [
    "### Trực quan hóa các dữ liệu dự đoán và thực tế"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 632
    },
    "id": "kaSyAi79i2Qi",
    "outputId": "80ee4912-c211-49f0-c98f-13e03d1f1b70"
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 2000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot thông số dự đoán và thực tế\n",
    "plt.figure(figsize=(20,10))\n",
    "sns.set_style(\"whitegrid\")\n",
    "test['Predictions'] = 0\n",
    "test['Predictions'] = preds\n",
    "\n",
    "plt.plot(train['Adj Close'], label='Training')\n",
    "plt.plot(test['Adj Close'], label='Actual')\n",
    "plt.plot(test['Predictions'], label='Predicted')\n",
    "plt.title(\"Microsoft giá đóng cửa điều chỉnh - k-Nearest Neighbours\", color = 'black', fontsize = 20)\n",
    "plt.xlabel('Năm', color = 'black', fontsize = 15)\n",
    "plt.ylabel('Giá chứng khoán', color = 'black', fontsize = 15)\n",
    "plt.legend();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "lU1urAuK6HsA"
   },
   "source": [
    "Từ ba biểu đồ trên, có vẻ như các thuật toán hồi quy không thực sự hoạt động tốt trên tập dữ liệu chuỗi thời gian này."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "M0jMveaxmcXg"
   },
   "source": [
    "Bằng cách sử dụng dữ liệu trong quá khứ để phân tích và hiểu được các hình mẫu trong chuỗi thời gian, các mô hình đã nắm bắt được xu hướng ngày càng tăng trong chuỗi và đạt đến được RMSE thấp nhất cho đến hiện tại. Tuy nhiên tỉ lệ sai số vẫn còn khá cao và hiệu suất vẫn còn thấp.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "H-258bD7_JyI"
   },
   "source": [
    "## 8. Prophet\n",
    "\n",
    "Tiếp theo, chúng ta sẽ sử dụng một mô hình phân tích và dự đoán của dữ liệu chuỗi thời gian có tính đến cả xu hướng và tính thời vụ của tập dữ liệu. Prophet là một gói dự báo dữ liệu chuỗi thời gian dựa trên mô hình cộng trong đó các xu hướng phi tuyến tính phù hợp với tính thời vụ hàng năm, hàng tuần và hàng ngày, cộng với cả các tác nhân ảnh hưởng bên ngoài như các dịp đặc biệt.\n",
    "\n",
    "### Chuẩn bị và định dạng dữ liệu"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "id": "gHohUETtgfGP"
   },
   "outputs": [],
   "source": [
    "# Tạo data set với cột Giá đóng cửa điều chỉnh và cột ngày\n",
    "msft_adj = pd.DataFrame(index=range(0,len(msft_df)),columns=['Date', 'Adj Close'])\n",
    "\n",
    "for i in range(0,len(msft_df)):\n",
    "     msft_adj['Date'][i] = msft_df.index[i]\n",
    "     msft_adj['Adj Close'][i] = msft_df['Adj Close'][i]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "id": "t3MtkQ_Ku8gx"
   },
   "outputs": [],
   "source": [
    "# Định dạng ngày\n",
    "msft_adj['Date'] = pd.to_datetime(msft_adj.Date,format='%Y-%m-%d')\n",
    "msft_adj.index = msft_adj['Date']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "id": "4FsFujf6govk"
   },
   "outputs": [],
   "source": [
    "# Định dạng dữ liệu\n",
    "msft_adj.rename(columns={'Adj Close': 'y', 'Date': 'ds'}, inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "8zU3RUtsT7xa"
   },
   "source": [
    "Dữ liệu đầu vào của Prophet được cài đặt là một khung dữ liệu có hai cột: **ds** và **y**. Cột ds (datestamp) phải được định dạng theo pandas là YYYY-MM-DD cho điểm dữ liệu. Cột y là số và đại diện cho phép đo mà chúng ta muốn dự báo."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "_c-X36N-URKA"
   },
   "source": [
    "### Split data thành train và test sets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "id": "DTSGHDwCgzZX"
   },
   "outputs": [],
   "source": [
    "split = int(0.8*len(msft_adj))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "id": "iNNs972ShEeI"
   },
   "outputs": [],
   "source": [
    "train, test = msft_adj[:split], msft_adj[split:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "z9XJ1j4QvwFp",
    "outputId": "6a576d0b-a4a1-428c-d1e8-4341444ea8e1"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((3277, 2), (2621, 2), (656, 2))"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "msft_adj.shape, train.shape, test.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Y3KS2m_nUkGg"
   },
   "source": [
    "### Tạo và train model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "id": "LhqoTYCPvzLr"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "07:24:07 - cmdstanpy - INFO - Chain [1] start processing\n",
      "07:24:08 - cmdstanpy - INFO - Chain [1] done processing\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<prophet.forecaster.Prophet at 0x2151e8790a0>"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Tạo mô hình Prophet  \n",
    "model = Prophet()\n",
    "# Fit model\n",
    "model.fit(train)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "ngGjNHktU3ve"
   },
   "source": [
    "### Test model\n",
    "\n",
    "Sau đó, dự đoán được thực hiện trên DataFrame với cột **ds** chứa ngày dự đoán sẽ được thực hiện. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "id": "dEBR08ShvFo_"
   },
   "outputs": [],
   "source": [
    "# Tạo dự báo  \n",
    "adj_close_prices = model.make_future_dataframe(periods=len(test))\n",
    "forecast = model.predict(adj_close_prices)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "ulgDRTmmV9i5"
   },
   "source": [
    "### Tính chỉ số RMSE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "jIBu7ooDwC-B",
    "outputId": "4f36ab31-c1a6-48e8-fb40-003f5b36ded9"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "63.94353006863116"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "forecast_test = forecast['yhat'][split:]\n",
    "rmse = np.sqrt(np.mean(np.power((np.array(test['y'])-np.array(forecast_test)),2)))\n",
    "rmse"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "FBbMEH8JWHnC"
   },
   "source": [
    "### Trực quan hóa các dữ liệu dự đoán và thực tế"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 585
    },
    "id": "JedQCVHfcur8",
    "outputId": "740c4fd0-e398-429d-fb0d-08de06fe9085"
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 2000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot thông số dự đoán và thực tế\n",
    "test['Predictions'] = 0\n",
    "test['Predictions'] = forecast_test.values\n",
    "\n",
    "plt.figure(figsize=(20,10))\n",
    "sns.set_style(\"whitegrid\")\n",
    "plt.plot(train['y'], label='Training')\n",
    "plt.plot(test['y'], label='Actual')\n",
    "plt.plot(test['Predictions'], label='Predicted')\n",
    "plt.title(\"Microsoft giá đóng cửa điều chỉnh - Prophet\", color = 'black', fontsize = 20)\n",
    "plt.xlabel('Năm', color = 'black', fontsize = 15)\n",
    "plt.ylabel('Giá chứng khoán', color = 'black', fontsize = 15)\n",
    "plt.legend();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "YuQCpYZOX8F5"
   },
   "source": [
    "Đặc tính của giá cổ phiếu đó là giá của cổ phiếu sẽ biến động phụ thuộc nhiều vào các lực lượng ảnh hưởng của thị trường, vì vậy thường là chúng sẽ không có một xu hướng thực sự cụ thể trong thời gian dài hay có tính thời vụ. Do đó, các kỹ thuật dự báo như Prophet (hay SARIMA ít nhiều có tính tương đồng) thường sẽ không mang lại kết quả quá khả quan khi áp dụng cho vấn đề này, mặc dù rằng chúng vẫn thể hiện tốt hơn nhiều so với các mô hình hồi quy truyền thống."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "YCdZhEa5ZBBA"
   },
   "source": [
    "Tuy nhiên, nói như vậy không có nghĩ là Prophet hoàn toàn không thể dự đoán được các dạng dữ liệu thời gian không có tính thời vụ hay xu hướng. Thư viện Prophet cung cấp cho người dùng một thuật toán gọi là prophet_make_future_dataframe, trong đó mô hình sẽ dự đoán dữ liệu trong 365 ngày tiếp theo, với các mốc changepoint (dữ liệu thay đổi) trong quá khứ. Tuy không thực sự mang tính thời vụ đều đặn, nhưng khi dự đoán dữ liệu mới qua các mốc thời gian tương ứng ở những năm trước này, Prophet sẽ cân nhắc chúng vào các biến số và ước lượng để cho ra một kết quả dự đoán chính xác hơn."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 204
    },
    "id": "uAX802xrlCuj",
    "outputId": "e56fd9b8-6d16-458b-d6e9-46d9625adb55"
   },
   "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",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2981</th>\n",
       "      <td>2021-05-29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2982</th>\n",
       "      <td>2021-05-30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2983</th>\n",
       "      <td>2021-05-31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2984</th>\n",
       "      <td>2021-06-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2985</th>\n",
       "      <td>2021-06-02</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             ds\n",
       "2981 2021-05-29\n",
       "2982 2021-05-30\n",
       "2983 2021-05-31\n",
       "2984 2021-06-01\n",
       "2985 2021-06-02"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "future = model.make_future_dataframe(periods=365)\n",
    "future.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "id": "xvcGtFoUayTX"
   },
   "outputs": [],
   "source": [
    "# Tạo dự đoán cho 365 ngày trong tương lai\n",
    "forecast = model.predict(future)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "gmSlDY71Ztla"
   },
   "source": [
    "Mô hình dự đoán sẽ gán cho mỗi hàng trong tương lai một giá trị dự đoán và đặt tên nó là **yhat**. Nếu mô hình chạy vượt qua các ngày này trong lịch sử, nó sẽ cung cấp một sự điều chỉnh đối với mẫu. Đối tượng dự báo ở đây là một DataFrame mới bao gồm một cột yhat với dự báo, cũng như các cột cho các thành phần và các khoảng không chắc chắn."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 204
    },
    "id": "F7ibl6qbbIq3",
    "outputId": "74ef8caf-5660-4dd2-b23e-355854912d58"
   },
   "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",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2981</th>\n",
       "      <td>2021-05-29</td>\n",
       "      <td>205.380519</td>\n",
       "      <td>199.031596</td>\n",
       "      <td>211.645884</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2982</th>\n",
       "      <td>2021-05-30</td>\n",
       "      <td>205.453076</td>\n",
       "      <td>199.354384</td>\n",
       "      <td>211.517280</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2983</th>\n",
       "      <td>2021-05-31</td>\n",
       "      <td>204.554806</td>\n",
       "      <td>197.876909</td>\n",
       "      <td>210.974116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2984</th>\n",
       "      <td>2021-06-01</td>\n",
       "      <td>204.746232</td>\n",
       "      <td>198.673337</td>\n",
       "      <td>211.728235</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2985</th>\n",
       "      <td>2021-06-02</td>\n",
       "      <td>204.735967</td>\n",
       "      <td>198.606468</td>\n",
       "      <td>210.971789</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             ds        yhat  yhat_lower  yhat_upper\n",
       "2981 2021-05-29  205.380519  199.031596  211.645884\n",
       "2982 2021-05-30  205.453076  199.354384  211.517280\n",
       "2983 2021-05-31  204.554806  197.876909  210.974116\n",
       "2984 2021-06-01  204.746232  198.673337  211.728235\n",
       "2985 2021-06-02  204.735967  198.606468  210.971789"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Print dự đoán DataFrame\n",
    "\n",
    "forecast[['ds', 'yhat', 'yhat_lower', 'yhat_upper']].tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "memqE_c2byRT"
   },
   "source": [
    "### Trực quan hóa dự báo và các điểm thay đổi xu hướng\n",
    "\n",
    "Dữ liệu chuỗi thời gian thường có những thay đổi đột ngột trong khuynh hướng chuyển động của chúng. Vì vậy, Prophet sẽ tự động phát hiện ra những điểm thay đổi này và sẽ cho phép điều chỉnh các xu hướng một cách thích hợp hơn."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 441
    },
    "id": "MaPrd28-bXIV",
    "outputId": "05ec4631-77bf-4656-cd74-de823e109091"
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot dự đoán\n",
    "fig = model.plot(forecast)\n",
    "# Thêm các điểm thay đổi xu hướng vô  \n",
    "a = add_changepoints_to_plot(fig.gca(), model, forecast)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "yCRLNZ9fcMFO"
   },
   "source": [
    "### Trích xuất các điểm thay đổi\n",
    "\n",
    "Những điểm dưới đây thể hiện các mốc thay đổi xu hướng của dữ liệu"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "2PxozULmEL_V",
    "outputId": "8141dda7-dbba-44b6-df83-4fc8efc8d889"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "84     2010-05-05\n",
       "168    2010-09-02\n",
       "251    2010-12-31\n",
       "335    2011-05-03\n",
       "419    2011-08-31\n",
       "503    2011-12-30\n",
       "587    2012-05-02\n",
       "670    2012-08-29\n",
       "754    2013-01-02\n",
       "838    2013-05-03\n",
       "922    2013-09-03\n",
       "1006   2014-01-02\n",
       "1089   2014-05-02\n",
       "1173   2014-09-02\n",
       "1257   2014-12-31\n",
       "1341   2015-05-04\n",
       "1425   2015-09-01\n",
       "1508   2015-12-30\n",
       "1592   2016-05-02\n",
       "1676   2016-08-30\n",
       "1760   2016-12-29\n",
       "1844   2017-05-02\n",
       "1927   2017-08-29\n",
       "2011   2017-12-28\n",
       "2095   2018-05-01\n",
       "Name: ds, dtype: datetime64[ns]"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.changepoints"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "WfubVD1-ji_S"
   },
   "source": [
    "### Trực quan hoá các thành phần của dự báo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 660
    },
    "id": "D7HPdnNKxYXg",
    "outputId": "79402bc2-275a-4aff-c76b-3778f88b385a"
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 900x900 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Trực quan xu hướng, thành phần tuần, năm\n",
    "\n",
    "model.plot_components(forecast)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "NJSIzeGUFQBU"
   },
   "source": [
    "Dựa trên các xu hướng ước tính, chúng ta có thể thấy từ ô phụ hàng năm rằng, thông thường, giá cổ phiếu dường như đạt mức cao nhất vào giữa tháng 7 và, theo ô phụ hàng tuần, chủ yếu vào các ngày thứ Tư.\n",
    "\n",
    "Cuối cùng, biểu đồ con xu hướng cho thấy giá cổ phiếu tăng đều đặn trong thời gian dự đoán."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "aTz-ZowUFZzG"
   },
   "source": [
    "## 9. Long Short Term Memory (LSTM)\n",
    "\n",
    "LSTM là một Recurrent Neural Network (tạm dịch: Mạng thần kinh tái phát) có thể lưu trữ những thông tin quan trọng trong quá khứ và quên đi những thông tin không quan trọng. Nó sử dụng các quy trình bộ nhớ ngắn hạn để tạo ra bộ nhớ dài hơn và giới thiệu khái niệm về cổng để kiểm soát luồng thông tin trong mạng lưới bằng cách có cơ chế cổng đầu vào, đầu ra và cổng quên."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 450
    },
    "id": "bOY9v6UlGF1U",
    "outputId": "8b0cb443-7b5f-4889-f922-81b087f2b604"
   },
   "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>Adj Close</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2010-01-04</th>\n",
       "      <td>23.68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-05</th>\n",
       "      <td>23.69</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-06</th>\n",
       "      <td>23.55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-07</th>\n",
       "      <td>23.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-08</th>\n",
       "      <td>23.46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-03</th>\n",
       "      <td>239.58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-04</th>\n",
       "      <td>229.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-05</th>\n",
       "      <td>222.31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-06</th>\n",
       "      <td>224.93</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-09</th>\n",
       "      <td>227.12</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3277 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Adj Close\n",
       "Date                 \n",
       "2010-01-04      23.68\n",
       "2010-01-05      23.69\n",
       "2010-01-06      23.55\n",
       "2010-01-07      23.30\n",
       "2010-01-08      23.46\n",
       "...               ...\n",
       "2023-01-03     239.58\n",
       "2023-01-04     229.10\n",
       "2023-01-05     222.31\n",
       "2023-01-06     224.93\n",
       "2023-01-09     227.12\n",
       "\n",
       "[3277 rows x 1 columns]"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Tạo DataFrame cho Giá đóng cửa điều chỉnh\n",
    "msft_adj = msft_df[['Adj Close']]\n",
    "msft_adj "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {
    "id": "89nYALHAMI-T"
   },
   "outputs": [],
   "source": [
    "# Chuyển DataFrame thành numpy array\n",
    "msft_adj_arr = msft_adj.values"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "N0VFwL-poO6w"
   },
   "source": [
    "### Split data thành train và test set"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "id": "0wk63ZsVKJ-L"
   },
   "outputs": [],
   "source": [
    "split = int(0.8*len(msft_adj_arr))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "id": "hczUY8yYKU8N"
   },
   "outputs": [],
   "source": [
    "train, test = msft_adj_arr[:split], msft_adj_arr[split:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "PvaC5GTkOxHH",
    "outputId": "4a21bec2-c2d0-441d-a8d7-88a1302fc085"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((2621, 1), (656, 1))"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.shape, test.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "vHSx6346ooGA"
   },
   "source": [
    "### Feature scaling (tạm dịch: Scaling trích chọn)\n",
    "\n",
    "Tiêu chuẩn hoá dữ liệu bằng cách scale dữ liệu thành định dạng từ 0 đến 1 để cải thiện việc học và tính hội tụ của mô hình."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {
    "id": "fGIs-wEONN16"
   },
   "outputs": [],
   "source": [
    "# Scaling trích chọn và fit dữ liệu scale\n",
    "scaler = MinMaxScaler(feature_range=(0, 1))\n",
    "scaled_data = scaler.fit_transform(msft_adj_arr)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "WhKRZTBxr5gR"
   },
   "source": [
    "## Tạo dữ liệu training"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "id": "1wIrjhPbNlYC"
   },
   "outputs": [],
   "source": [
    "# Tạo cấu trúc dữ liệu với 60 time-steps và 1 output \n",
    "\n",
    "X_train, y_train = [], []\n",
    "for i in range(60,len(train)):\n",
    "    X_train.append(scaled_data[i-60:i,0])\n",
    "    y_train.append(scaled_data[i,0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {
    "id": "FGWNCq2yOMzJ"
   },
   "outputs": [],
   "source": [
    "# Chuyển X_train và y_train thành numpy arrays cho mô hình LSTM training \n",
    "\n",
    "X_train, y_train = np.array(X_train), np.array(y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "gxK1Vf0yWvvm",
    "outputId": "6252f5f0-c208-4001-e784-874b77f33ecc"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2561, 60, 1)"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Chuyển dạng dữ liệu thành 3D theo định dạng yêu cầu của LSTM (samples, time steps, features)\n",
    "\n",
    "X_train = np.reshape(X_train, (X_train.shape[0], X_train.shape[1], 1))\n",
    "X_train.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "CXwvG8WnsAt_"
   },
   "source": [
    "### Tạo và train model\n",
    "\n",
    "Chúng ta sẽ triển khai một mô hình đơn giản bao gồm một lớp ẩn với 50 nơ-ron, hình dạng dữ liệu đầu vào với số bước thời gian (number of time steps) là (60) và số chiều (dimensionality) là (1) và một lớp đầu ra với bước thời gian là 1. Mô hình sẽ được biên dịch bằng Mean Squared Error (MSE) và trình tối ưu hóa ADAM (Adaptive Moment Estimation), sau đó sẽ được fit với training set với một epoch và batch size là một."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "Aphvhg6JOeVT",
    "outputId": "c6cf7b18-b1fe-418b-d9cd-ef402a8fca43"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2561/2561 - 30s - loss: 2.1690e-04 - 30s/epoch - 12ms/step\n"
     ]
    }
   ],
   "source": [
    "# Tạo và fit mạng LSTM \n",
    "model = Sequential()\n",
    "model.add(LSTM(units=50, return_sequences=True, input_shape=(X_train.shape[1],1)))\n",
    "model.add(LSTM(units=50))\n",
    "model.add(Dense(1))\n",
    "\n",
    "model.compile(loss='mean_squared_error', optimizer='adam')\n",
    "model.fit(X_train, y_train, epochs=1, batch_size=1, verbose=2)\n",
    "\n",
    "# Dự đoán 504 giá trị, sự dụng 60 từ tập data train \n",
    "inputs = msft_adj_arr [len(msft_adj_arr) - len(test) - 60:]\n",
    "inputs = inputs.reshape(-1,1)\n",
    "inputs  = scaler.transform(inputs)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "yMs-HZgcuxKC"
   },
   "source": [
    "### Tạo test set và test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {
    "id": "YiWIkCXePU2l"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "21/21 [==============================] - 1s 8ms/step\n"
     ]
    }
   ],
   "source": [
    "# Tạo test data set\n",
    "X_test = []\n",
    "for i in range(60,inputs.shape[0]):\n",
    "    X_test.append(inputs[i-60:i,0])\n",
    "\n",
    "# Chuyển data thành numpy array\n",
    "X_test = np.array(X_test)\n",
    "\n",
    "# Chuyển data thành 3-D\n",
    "X_test = np.reshape(X_test, (X_test.shape[0],X_test.shape[1],1))\n",
    "adj_closing_price = model.predict(X_test)\n",
    "adj_closing_price = scaler.inverse_transform(adj_closing_price)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "uLl8Gn95QYQY",
    "outputId": "2d1dfe8f-9aea-42d3-de5a-3d7a8c3b3643"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(656, 60, 1)\n"
     ]
    }
   ],
   "source": [
    "print(X_test.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "AaYvE3lxu6an"
   },
   "source": [
    "### Tính chỉ số RMSE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "ly_k7NpMP3nb",
    "outputId": "0fa04425-cca1-4f1f-e04b-0fb6a9bb5357"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "6.650146577279944"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rmse = np.sqrt(np.mean(np.power((test - adj_closing_price),2)))\n",
    "rmse"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "lrLexq0Bvgfr"
   },
   "source": [
    "### Trực quan hóa các dữ liệu dự đoán và thực tế"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 618
    },
    "id": "C-AJMju9QoXy",
    "outputId": "ec1e38e4-c60e-42d2-8adb-2671a72bd5c3"
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 2000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot thông số dự đoán và thực tế\n",
    "train = msft_adj[:split]\n",
    "test = msft_adj[split:]\n",
    "test['Predictions'] = adj_closing_price\n",
    "\n",
    "plt.figure(figsize=(20,10))\n",
    "sns.set_style(\"whitegrid\")\n",
    "plt.plot(train['Adj Close'], label='Training')\n",
    "plt.plot(test['Adj Close'], label='Actual')\n",
    "plt.plot(test['Predictions'], label='Predicted')\n",
    "plt.title(\"Microsoft giá đóng cửa điều chỉnh - LSTM\", color = 'black', fontsize = 20)\n",
    "plt.xlabel('Năm', color = 'black', fontsize = 15)\n",
    "plt.ylabel('Giá chứng khoán', color = 'black', fontsize = 15)\n",
    "plt.legend();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "fp4m1C9nv4o4"
   },
   "source": [
    "Mô hình LSTM đã đạt được giá trị RMSE thấp nhất và dự đoán chính xác nhất. Dù rằng đây chỉ là một mô hình deep learning cơ bản song chúng ta có thể tiếp tục điều chỉnh nhiều tham số khác nhau, nhiều lớp có thể được thêm vào với các tính năng để chuẩn hóa và tăng số lượng epochs để mô hình có tính hội tụ tốt hơn."
   ]
  }
 ],
 "metadata": {
  "colab": {
   "collapsed_sections": [],
   "name": "Time_Series_Machine_Learning_and_Deep_Learning.ipynb",
   "provenance": []
  },
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}