ch03_stock_crawler.ipynb

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        "id": "suJEI5F3kNGA"
      },
      "source": [
        "# CH-03 股市資料蒐集、爬蟲與搭建資料庫"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "csnPe3SA-5cn"
      },
      "source": [
        "## 3-2 資料爬蟲"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "PbF43XAN-8Kl"
      },
      "source": [
        "## 證交所資料爬蟲\n",
        "1. 進入證交所網址：https://www.twse.com.tw/zh/index.html\n",
        "2. 使用開發者模式取得請求資料網址"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Br05V_7Jmb-E"
      },
      "source": [
        "### 1️⃣ 匯入套件"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "jdzBCH2fdi4i"
      },
      "outputs": [],
      "source": [
        "import requests\n",
        "import pandas as pd\n",
        "import datetime as dt # 時間套件\n",
        "from dateutil.relativedelta import relativedelta"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "xg-0X9K0my7T"
      },
      "source": [
        "### 2️⃣ 取得個股日成交資訊"
      ]
    },
    {
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        "id": "jjgcRa5vdrjy",
        "outputId": "c51d4c79-1667-4cb7-c816-713c1e8383b3"
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              "          日期        成交股數            成交金額       開盤價       最高價       最低價  \\\n",
              "5  113/07/08  45,678,332  47,210,175,550  1,005.00  1,050.00  1,000.00   \n",
              "6  113/07/09  54,339,957  56,382,512,235  1,030.00  1,055.00  1,025.00   \n",
              "7  113/07/10  51,810,372  53,308,027,550  1,020.00  1,050.00  1,015.00   \n",
              "8  113/07/11  49,304,453  52,782,475,514  1,065.00  1,080.00  1,055.00   \n",
              "9  113/07/12  79,472,761  82,222,185,037  1,030.00  1,045.00  1,025.00   \n",
              "\n",
              "        收盤價    漲跌價差     成交筆數  \n",
              "5  1,035.00  +30.00   74,909  \n",
              "6  1,040.00   +5.00   74,954  \n",
              "7  1,045.00   +5.00   61,199  \n",
              "8  1,080.00  +35.00   65,005  \n",
              "9  1,040.00  -40.00  175,230  "
            ]
          },
          "execution_count": 2,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# 輸入股票代號\n",
        "stock_id = '2330'\n",
        "# 當日時間\n",
        "date = dt.date.today().strftime(\"%Y%m%d\")\n",
        "# 取得證交所網站資料\n",
        "stock_data = requests.get(f'https://www.twse.com.tw/rwd/zh/ \\\n",
        "            afterTrading/STOCK_DAY?date={date}&stockNo={stock_id}')\n",
        "json_data = stock_data.json()\n",
        "df = pd.DataFrame(data=json_data['data'],\n",
        "                  columns=json_data['fields'])\n",
        "df.tail()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ZiQq_6xzoM0I"
      },
      "source": [
        "### 3️⃣ 取得連續月份資料\n",
        "以個股本益比為例"
      ]
    },
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              "\n",
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              "      <th>0</th>\n",
              "      <td>113年05月02日</td>\n",
              "      <td>1.68</td>\n",
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              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>113年05月03日</td>\n",
              "      <td>1.67</td>\n",
              "      <td>112</td>\n",
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              "      <td>112/4</td>\n",
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              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>113年05月06日</td>\n",
              "      <td>1.65</td>\n",
              "      <td>112</td>\n",
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              "      <td>5.89</td>\n",
              "      <td>112/4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>113年05月07日</td>\n",
              "      <td>1.63</td>\n",
              "      <td>112</td>\n",
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              "      <td>112/4</td>\n",
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              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>113年05月08日</td>\n",
              "      <td>1.62</td>\n",
              "      <td>112</td>\n",
              "      <td>24.81</td>\n",
              "      <td>6.01</td>\n",
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              "\n",
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              "\n",
              "  @keyframes spin {\n",
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              "        const charts = await google.colab.kernel.invokeFunction(\n",
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              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
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              "    (() => {\n",
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              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "text/plain": [
              "           日期 殖利率(%)  股利年度    本益比 股價淨值比  財報年/季\n",
              "0  113年05月02日   1.68   112  23.88  5.79  112/4\n",
              "1  113年05月03日   1.67   112  24.13  5.85  112/4\n",
              "2  113年05月06日   1.65   112  24.31  5.89  112/4\n",
              "3  113年05月07日   1.63   112  24.74  6.00  112/4\n",
              "4  113年05月08日   1.62   112  24.81  6.01  112/4"
            ]
          },
          "execution_count": 3,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# 設定抓取幾個月資料\n",
        "month_num=3\n",
        "date_now = dt.datetime.now()\n",
        "\n",
        "# 建立日期串列\n",
        "date_list = [(date_now - relativedelta(months=i)).replace(day=1).\\\n",
        "             strftime('%Y%m%d') for i in range(month_num)]\n",
        "\n",
        "date_list.reverse()\n",
        "all_df = pd.DataFrame()\n",
        "\n",
        "# 使用迴圈抓取連續月份資料\n",
        "for date in date_list:\n",
        "  url = f'https://www.twse.com.tw/rwd/zh/afterTrading/\\\n",
        "      BWIBBU?date={date}&stockNo={stock_id}'\n",
        "  try:\n",
        "    json_data = requests.get(url).json()\n",
        "    df = pd.DataFrame(data=json_data['data'],\n",
        "                  columns=json_data['fields'])\n",
        "    all_df = pd.concat([all_df, df], ignore_index=True)\n",
        "  except Exception as e:\n",
        "    print(f\"無法取得{date}的資料, 可能資料量不足.\")\n",
        "\n",
        "all_df.head()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "KKfWgKeY_AQm"
      },
      "source": [
        "## 用 BeautifulSoup4 取得 Yahoo 股市資料"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "RfVbifTaYGHB"
      },
      "source": [
        "###4️⃣ 匯入套件"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "NR40XO1P6GFJ"
      },
      "outputs": [],
      "source": [
        "from datetime import datetime\n",
        "from bs4 import BeautifulSoup\n",
        "import time"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "LIQJPxjJYS3J"
      },
      "source": [
        "###  5️⃣ 取得當日股價"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 81
        },
        "id": "OcIFDKjw__cH",
        "outputId": "24ab5d45-081f-4fc1-a6f8-668dc3015588"
      },
      "outputs": [
        {
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>日期</th>\n",
              "      <th>股號</th>\n",
              "      <th>成交</th>\n",
              "      <th>開盤</th>\n",
              "      <th>最高</th>\n",
              "      <th>最低</th>\n",
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              "  <tbody>\n",
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              "      <th>0</th>\n",
              "      <td>2023/12/18 11:48</td>\n",
              "      <td>2330</td>\n",
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              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-2fc50bb4-461f-453c-b920-edd93479a8ba button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-2fc50bb4-461f-453c-b920-edd93479a8ba');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "text/plain": [
              "                 日期    股號   成交   開盤   最高   最低   均價 成交金額(億)   昨收    漲跌幅    漲跌  \\\n",
              "0  2023/12/18 11:48  2330  581  579  582  577  579   84.12  585  0.68%  4.00   \n",
              "\n",
              "       總量      昨量     振幅  \n",
              "0  14,509  54,288  0.00%  "
            ]
          },
          "execution_count": 5,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "def yahoo_stock(stock_id):\n",
        "    url = f'https://tw.stock.yahoo.com/quote/{stock_id}.TW'\n",
        "    # 使用 requests 取得網頁內容\n",
        "    response = requests.get(url)\n",
        "    html = response.content\n",
        "    # 使用 Beautiful Soup 解析 HTML 內容\n",
        "    soup = BeautifulSoup(html, 'html.parser')\n",
        "    # 使用 find 與 find_all 定位元素\n",
        "    time_element = soup.find('section',\\\n",
        "                {'id': 'qsp-overview-realtime-info'}).find('time')\n",
        "    table_soups = soup.find('section',\\\n",
        "                {'id': 'qsp-overview-realtime-info'}).find('ul')\\\n",
        "                                   .find_all('li')\n",
        "    fields = []\n",
        "    datas = []\n",
        "    for table_soup in table_soups:\n",
        "        table_datas = table_soup.find_all('span')\n",
        "        for num,table_data in enumerate(table_datas):\n",
        "            if table_data.text =='':\n",
        "                continue\n",
        "            if num == 0:\n",
        "                fields.append(table_data.text)\n",
        "            else:\n",
        "                datas.append(table_data.text)\n",
        "    # 建立 DataFrame\n",
        "    df = pd.DataFrame([datas], columns=fields)\n",
        "    # 增加日期和股號欄位\n",
        "    df.insert(0,'日期',time_element['datatime'])\n",
        "    df.insert(1,'股號',stock_id)\n",
        "    # 回傳 DataFrame\n",
        "    return df\n",
        "\n",
        "yahoo_stock(stock_id)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "kfNUjnxkUuEf"
      },
      "source": [
        "### 6️⃣ 取得季報表資訊\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "td2UQ2mXItl7",
        "outputId": "2c2fc6d1-e683-42ed-aac9-06654617f405"
      },
      "outputs": [
        {
          "data": {
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              "\n",
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              "    <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>年度/季別</th>\n",
              "      <th>營業收入</th>\n",
              "      <th>營業毛利</th>\n",
              "      <th>營業費用</th>\n",
              "      <th>營業利益</th>\n",
              "      <th>稅後淨利</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>2019 Q4</td>\n",
              "      <td>317,237,065</td>\n",
              "      <td>159,240,985</td>\n",
              "      <td>34,942,621</td>\n",
              "      <td>124,243,722</td>\n",
              "      <td>116,078,194</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>2019 Q3</td>\n",
              "      <td>293,045,439</td>\n",
              "      <td>139,432,161</td>\n",
              "      <td>31,378,953</td>\n",
              "      <td>107,887,292</td>\n",
              "      <td>101,102,454</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>2019 Q2</td>\n",
              "      <td>240,998,475</td>\n",
              "      <td>103,673,230</td>\n",
              "      <td>27,164,995</td>\n",
              "      <td>76,304,053</td>\n",
              "      <td>66,775,851</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>2019 Q1</td>\n",
              "      <td>218,704,469</td>\n",
              "      <td>90,352,125</td>\n",
              "      <td>26,018,013</td>\n",
              "      <td>64,266,023</td>\n",
              "      <td>61,387,310</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>2018 Q4</td>\n",
              "      <td>289,770,193</td>\n",
              "      <td>138,042,400</td>\n",
              "      <td>30,852,310</td>\n",
              "      <td>107,123,251</td>\n",
              "      <td>100,005,385</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
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              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
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              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
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              "      cursor: pointer;\n",
              "      display: none;\n",
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              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
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              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
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              "\n",
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              "      background-color: #434B5C;\n",
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              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-625579de-5f64-40d4-b482-e8875cdd3e4c button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-625579de-5f64-40d4-b482-e8875cdd3e4c');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-4ef8b44e-1e99-411a-8d84-97770bb7f15f\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-4ef8b44e-1e99-411a-8d84-97770bb7f15f')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
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              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-4ef8b44e-1e99-411a-8d84-97770bb7f15f button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "text/plain": [
              "      年度/季別         營業收入         營業毛利        營業費用         營業利益         稅後淨利\n",
              "15  2019 Q4  317,237,065  159,240,985  34,942,621  124,243,722  116,078,194\n",
              "16  2019 Q3  293,045,439  139,432,161  31,378,953  107,887,292  101,102,454\n",
              "17  2019 Q2  240,998,475  103,673,230  27,164,995   76,304,053   66,775,851\n",
              "18  2019 Q1  218,704,469   90,352,125  26,018,013   64,266,023   61,387,310\n",
              "19  2018 Q4  289,770,193  138,042,400  30,852,310  107,123,251  100,005,385"
            ]
          },
          "execution_count": 7,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# 函式可用於奇摩財報\n",
        "def url_find(url):\n",
        "    words = url.split('/')\n",
        "    k = words[-1]\n",
        "    # 使用requests取得網頁內容\n",
        "    response = requests.get(url)\n",
        "    html = response.content\n",
        "    # 使用Beautiful Soup解析HTML內容\n",
        "    soup = BeautifulSoup(html, 'html.parser')\n",
        "    # 找到表格的表頭\n",
        "    table_soup = soup.find('section', {'id': 'qsp-{}-table'.format(k)})\n",
        "    table_fields=table_soup.find('div', class_='table-header')\n",
        "    table_fields_lines = list(table_fields.stripped_strings)\n",
        "    # 找到數據\n",
        "    data_rows = table_soup.find_all('li' ,class_='List(n)')\n",
        "    # 解析資料行內容\n",
        "    data = []\n",
        "    for row in data_rows:\n",
        "        row_data = list(row.stripped_strings)\n",
        "        data.append(row_data)\n",
        "    # 建立 DataFrame\n",
        "    df = pd.DataFrame(data, columns=table_fields_lines)\n",
        "    return df\n",
        "\n",
        "# 抓損益表\n",
        "url = f'https://tw.stock.yahoo.com/quote/{stock_id}/income-statement'\n",
        "# 抓資產負債表\n",
        "# url = f'https://tw.stock.yahoo.com/quote/{stock_id}/balance-sheet'\n",
        "# 抓現金流量表\n",
        "# url = f'https://tw.stock.yahoo.com/quote/{stock_id}/cash-flow-statement'\n",
        "\n",
        "# 抓取季報表資料\n",
        "df = url_find(url).transpose()\n",
        "\n",
        "# 資料處理\n",
        "df.columns = df.iloc[0]\n",
        "df = df[1:]\n",
        "df.insert(0,'年度/季別',df.index)\n",
        "df.columns.name = None\n",
        "df.reset_index(drop=True, inplace=True)\n",
        "\n",
        "df.tail()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "u0-KP5na_DlO"
      },
      "source": [
        "##使用 selenium 做新聞爬蟲"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "syC6K_GMY5BK"
      },
      "source": [
        "### 7️⃣ 用 requests 取得股票新聞"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 676
        },
        "id": "M4ozkfgv0Vt8",
        "outputId": "c61e5612-7ce6-4ad4-faee-c6fda864669a"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-63af9b6d-18aa-49bc-a2e7-2b8f3bf46181\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>股號</th>\n",
              "      <th>日期</th>\n",
              "      <th>標題</th>\n",
              "      <th>內容</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>2330</td>\n",
              "      <td>2023-12-15</td>\n",
              "      <td>《異動股》中國上城(0&lt;mark&gt;2330&lt;/mark&gt;)升逾41%,現報0.199元</td>\n",
              "      <td>《經濟通通訊社15日專訊》中國上城(02330)升41.1%,報0.199元,最高價0....</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2330</td>\n",
              "      <td>2023-12-15</td>\n",
              "      <td>台積電:WaferTech歡慶更名為TSMC Washington</td>\n",
              "      <td>第51款1.事實發生日:112/12/152.公司名稱:台灣積體電路製造股份有限公司3.與公...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2330</td>\n",
              "      <td>2023-12-14</td>\n",
              "      <td>台積電:本公司代子公司 TSMC Global Ltd. 公告取得固定收益證券</td>\n",
              "      <td>第20款1.證券名稱:政府機構不動產抵押貸款債券。2.交易日期:112/11/1~112/1...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2330</td>\n",
              "      <td>2023-12-13</td>\n",
              "      <td>台積電:本公司代子公司 TSMC Global Ltd. 公告取得固定收益證券</td>\n",
              "      <td>第20款1.證券名稱:公司債。2.交易日期:112/12/8~112/12/133.交易數量...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2330</td>\n",
              "      <td>2023-12-13</td>\n",
              "      <td>盤後速報 - 台積電(&lt;mark&gt;2330&lt;/mark&gt;)次交易(14)日除息3元，參考價5...</td>\n",
              "      <td>台積電(2330-TW)次交易(14)日將進行除息交易，其中每股配發現金股利3元。首日參考價...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>2330</td>\n",
              "      <td>2023-12-11</td>\n",
              "      <td>台積電:本公司代子公司 TSMC Global Ltd. 公告取得固定收益證券</td>\n",
              "      <td>第20款1.證券名稱:公司債。2.交易日期:112/12/7~112/12/113.交易數量...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>2330</td>\n",
              "      <td>2023-12-08</td>\n",
              "      <td>台積電:台積公司2023年11月營收報告</td>\n",
              "      <td>第51款1.事實發生日:112/12/082.公司名稱:台灣積體電路製造股份有限公司3.與公...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>2330</td>\n",
              "      <td>2023-12-07</td>\n",
              "      <td>盤後速報 - 台積電(&lt;mark&gt;2330&lt;/mark&gt;)下週(12月14日)除息3元，預估...</td>\n",
              "      <td>台積電(2330-TW)下週(12月14日)將進行除息交易，其中每股配發現金股利3元。以今日...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>2330</td>\n",
              "      <td>2023-12-06</td>\n",
              "      <td>台積電:本公司代重要子公司TSMC North America公告股東常會重要決議</td>\n",
              "      <td>第18款1.股東常會日期:112/12/062.重要決議事項一、盈餘分配或盈虧撥補:不適用。...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>2330</td>\n",
              "      <td>2023-12-05</td>\n",
              "      <td>中國上城(0&lt;mark&gt;2330&lt;/mark&gt;)履行所有復牌指引,申請今早復牌</td>\n",
              "      <td>《經濟通通訊社6日專訊》停牌18個月的中國上城(02330)公布,履行所有復牌指引,已向...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>2330</td>\n",
              "      <td>2023-12-04</td>\n",
              "      <td>台積電:本公司代子公司 TSMC Global Ltd. 公告取得固定收益證券</td>\n",
              "      <td>第20款1.證券名稱:公司債。2.交易日期:112/12/4~112/12/43.交易數量、...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>2330</td>\n",
              "      <td>2023-12-01</td>\n",
              "      <td>台積電:本公司代子公司 TSMC Global Ltd. 公告取得固定收益證券</td>\n",
              "      <td>第20款1.證券名稱:公司債, 政府機構不動產抵押貸款債券。2.交易日期:112/10/31...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>2330</td>\n",
              "      <td>2023-12-01</td>\n",
              "      <td>DYDX解鎖後共750萬枚DYDX被出售，約合&lt;mark&gt;2330&lt;/mark&gt;萬美元</td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>2330</td>\n",
              "      <td>2023-12-01</td>\n",
              "      <td>數據：部分投資者通過Wintermute和Amber向交易平台轉入750萬枚DYDX，約合&lt;...</td>\n",
              "      <td>BlockBeats 消息，12 月 1 日，據 Lookonchain 監測，DYDX 解...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>2330</td>\n",
              "      <td>2023-11-30</td>\n",
              "      <td>2024搶先布局：9檔潛力股操作大公開 2產業續強2新星登場</td>\n",
              "      <td>撰文：游季婕今（2023）年來到尾聲，雖然一整年大環境依舊瀰漫諸多不確定性，但產業仍有不少突...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>2330</td>\n",
              "      <td>2023-11-29</td>\n",
              "      <td>矽光子技術改寫未來，創新科技超前部署！</td>\n",
              "      <td>上週五 (11/24) 台股平盤震盪，加權指數收在 17287.42，週線上漲 0.5%，後...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>2330</td>\n",
              "      <td>2023-11-29</td>\n",
              "      <td>《異動股》信義光能(00968)跌近3%,現報4.56元</td>\n",
              "      <td>《經濟通通訊社29日專訊》信義光能(00968)跌3%,報4.56元,最低價4.55元,...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>2330</td>\n",
              "      <td>2023-11-28</td>\n",
              "      <td>用矩陣式存股法挑出優質股</td>\n",
              "      <td>撰文：李科諺\\n\\n從 2020 年疫情爆發以來，台灣股市經歷了猶如三溫暖般的上沖下洗，從低...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>2330</td>\n",
              "      <td>2023-11-24</td>\n",
              "      <td>2024年高殖利率挑股策略 短線賺價差 中長線享高配息</td>\n",
              "      <td>文 ‧ 陳春霖時序已進入第四季，今年台股大盤走勢是個驚奇的一年，在第三季財報陸續出爐後，市場...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>2330</td>\n",
              "      <td>2023-11-23</td>\n",
              "      <td>台積電:本公司代子公司 TSMC Global Ltd. 公告取得固定收益證券</td>\n",
              "      <td>第20款1.證券名稱:公司債。2.交易日期:112/10/17~112/11/233.交易數...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-63af9b6d-18aa-49bc-a2e7-2b8f3bf46181')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-63af9b6d-18aa-49bc-a2e7-2b8f3bf46181 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-63af9b6d-18aa-49bc-a2e7-2b8f3bf46181');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-8f65e561-d551-4961-bdf6-f6e28c3a9b8a\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-8f65e561-d551-4961-bdf6-f6e28c3a9b8a')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-8f65e561-d551-4961-bdf6-f6e28c3a9b8a button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "  <div id=\"id_1e0ecc88-92b0-4dbf-bbec-982f43485198\">\n",
              "    <style>\n",
              "      .colab-df-generate {\n",
              "        background-color: #E8F0FE;\n",
              "        border: none;\n",
              "        border-radius: 50%;\n",
              "        cursor: pointer;\n",
              "        display: none;\n",
              "        fill: #1967D2;\n",
              "        height: 32px;\n",
              "        padding: 0 0 0 0;\n",
              "        width: 32px;\n",
              "      }\n",
              "\n",
              "      .colab-df-generate:hover {\n",
              "        background-color: #E2EBFA;\n",
              "        box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "        fill: #174EA6;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate {\n",
              "        background-color: #3B4455;\n",
              "        fill: #D2E3FC;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate:hover {\n",
              "        background-color: #434B5C;\n",
              "        box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "        filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "        fill: #FFFFFF;\n",
              "      }\n",
              "    </style>\n",
              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('df')\"\n",
              "            title=\"Generate code using this dataframe.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M7,19H8.4L18.45,9,17,7.55,7,17.6ZM5,21V16.75L18.45,3.32a2,2,0,0,1,2.83,0l1.4,1.43a1.91,1.91,0,0,1,.58,1.4,1.91,1.91,0,0,1-.58,1.4L9.25,21ZM18.45,9,17,7.55Zm-12,3A5.31,5.31,0,0,0,4.9,8.1,5.31,5.31,0,0,0,1,6.5,5.31,5.31,0,0,0,4.9,4.9,5.31,5.31,0,0,0,6.5,1,5.31,5.31,0,0,0,8.1,4.9,5.31,5.31,0,0,0,12,6.5,5.46,5.46,0,0,0,6.5,12Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "    <script>\n",
              "      (() => {\n",
              "      const buttonEl =\n",
              "        document.querySelector('#id_1e0ecc88-92b0-4dbf-bbec-982f43485198 button.colab-df-generate');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('df');\n",
              "      }\n",
              "      })();\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "text/plain": [
              "      股號          日期                                                 標題  \\\n",
              "0   2330  2023-12-15        《異動股》中國上城(0<mark>2330</mark>)升逾41%,現報0.199元   \n",
              "1   2330  2023-12-15                  台積電:WaferTech歡慶更名為TSMC Washington   \n",
              "2   2330  2023-12-14            台積電:本公司代子公司 TSMC Global Ltd. 公告取得固定收益證券   \n",
              "3   2330  2023-12-13            台積電:本公司代子公司 TSMC Global Ltd. 公告取得固定收益證券   \n",
              "4   2330  2023-12-13  盤後速報 - 台積電(<mark>2330</mark>)次交易(14)日除息3元，參考價5...   \n",
              "5   2330  2023-12-11            台積電:本公司代子公司 TSMC Global Ltd. 公告取得固定收益證券   \n",
              "6   2330  2023-12-08                               台積電:台積公司2023年11月營收報告   \n",
              "7   2330  2023-12-07  盤後速報 - 台積電(<mark>2330</mark>)下週(12月14日)除息3元，預估...   \n",
              "8   2330  2023-12-06          台積電:本公司代重要子公司TSMC North America公告股東常會重要決議   \n",
              "9   2330  2023-12-05            中國上城(0<mark>2330</mark>)履行所有復牌指引,申請今早復牌   \n",
              "10  2330  2023-12-04            台積電:本公司代子公司 TSMC Global Ltd. 公告取得固定收益證券   \n",
              "11  2330  2023-12-01            台積電:本公司代子公司 TSMC Global Ltd. 公告取得固定收益證券   \n",
              "12  2330  2023-12-01        DYDX解鎖後共750萬枚DYDX被出售，約合<mark>2330</mark>萬美元   \n",
              "13  2330  2023-12-01  數據：部分投資者通過Wintermute和Amber向交易平台轉入750萬枚DYDX，約合<...   \n",
              "14  2330  2023-11-30                     2024搶先布局：9檔潛力股操作大公開 2產業續強2新星登場   \n",
              "15  2330  2023-11-29                                矽光子技術改寫未來，創新科技超前部署！   \n",
              "16  2330  2023-11-29                       《異動股》信義光能(00968)跌近3%,現報4.56元   \n",
              "17  2330  2023-11-28                                       用矩陣式存股法挑出優質股   \n",
              "18  2330  2023-11-24                        2024年高殖利率挑股策略 短線賺價差 中長線享高配息   \n",
              "19  2330  2023-11-23            台積電:本公司代子公司 TSMC Global Ltd. 公告取得固定收益證券   \n",
              "\n",
              "                                                   內容  \n",
              "0   　　《經濟通通訊社15日專訊》中國上城(02330)升41.1%,報0.199元,最高價0....  \n",
              "1   第51款1.事實發生日:112/12/152.公司名稱:台灣積體電路製造股份有限公司3.與公...  \n",
              "2   第20款1.證券名稱:政府機構不動產抵押貸款債券。2.交易日期:112/11/1~112/1...  \n",
              "3   第20款1.證券名稱:公司債。2.交易日期:112/12/8~112/12/133.交易數量...  \n",
              "4   台積電(2330-TW)次交易(14)日將進行除息交易，其中每股配發現金股利3元。首日參考價...  \n",
              "5   第20款1.證券名稱:公司債。2.交易日期:112/12/7~112/12/113.交易數量...  \n",
              "6   第51款1.事實發生日:112/12/082.公司名稱:台灣積體電路製造股份有限公司3.與公...  \n",
              "7   台積電(2330-TW)下週(12月14日)將進行除息交易，其中每股配發現金股利3元。以今日...  \n",
              "8   第18款1.股東常會日期:112/12/062.重要決議事項一、盈餘分配或盈虧撥補:不適用。...  \n",
              "9   　　《經濟通通訊社6日專訊》停牌18個月的中國上城(02330)公布,履行所有復牌指引,已向...  \n",
              "10  第20款1.證券名稱:公司債。2.交易日期:112/12/4~112/12/43.交易數量、...  \n",
              "11  第20款1.證券名稱:公司債, 政府機構不動產抵押貸款債券。2.交易日期:112/10/31...  \n",
              "12                                                     \n",
              "13  BlockBeats 消息，12 月 1 日，據 Lookonchain 監測，DYDX 解...  \n",
              "14  撰文：游季婕今（2023）年來到尾聲，雖然一整年大環境依舊瀰漫諸多不確定性，但產業仍有不少突...  \n",
              "15  上週五 (11/24) 台股平盤震盪，加權指數收在 17287.42，週線上漲 0.5%，後...  \n",
              "16  　　《經濟通通訊社29日專訊》信義光能(00968)跌3%,報4.56元,最低價4.55元,...  \n",
              "17  撰文：李科諺\\n\\n從 2020 年疫情爆發以來，台灣股市經歷了猶如三溫暖般的上沖下洗，從低...  \n",
              "18  文 ‧ 陳春霖時序已進入第四季，今年台股大盤走勢是個驚奇的一年，在第三季財報陸續出爐後，市場...  \n",
              "19  第20款1.證券名稱:公司債。2.交易日期:112/10/17~112/11/233.交易數...  "
            ]
          },
          "execution_count": 8,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# 股票代號\n",
        "stock_id = \"2330\"\n",
        "# 預設表格數據和欄位\n",
        "field=['股號','日期','標題','內容']\n",
        "data=[]\n",
        "# 取得 Json 格式資料\n",
        "json_data = requests.get(f'https://ess.api.cnyes.com/ess/api/'\n",
        "                f'v1/news/keyword?q={stock_id}&limit=20&page=1').json()\n",
        "# 依照格式擷取資料\n",
        "items=json_data['data']['items']\n",
        "for item in items:\n",
        "    # 網址、標題和日期\n",
        "    news_id = item[\"newsId\"]\n",
        "    title = item[\"title\"]\n",
        "    publish_at = item[\"publishAt\"]\n",
        "    # 使用 UTC 時間格式\n",
        "    utc_time = datetime.utcfromtimestamp(publish_at)\n",
        "    formatted_date = utc_time.strftime('%Y-%m-%d')\n",
        "    # 前往網址擷取內容\n",
        "    url = requests.get(f'https://news.cnyes.com/'\n",
        "                       f'news/id/{news_id}').content\n",
        "    soup = BeautifulSoup(url, 'html.parser')\n",
        "    p_elements = soup.find_all('p')\n",
        "    # 提取段落内容\n",
        "    p=''\n",
        "    for paragraph in p_elements[4:]:\n",
        "        p+=paragraph.get_text()\n",
        "    data.append([stock_id, formatted_date ,title,p])\n",
        "# 建立表格\n",
        "df = pd.DataFrame(data,columns=field)\n",
        "df"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "E4_syaahd7AD"
      },
      "source": [
        "### 8️⃣  安裝及匯入套件"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "vxS31D0q0NVC",
        "outputId": "de09f36d-5562-4bca-9bb2-0fa53e863ceb"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Collecting selenium\n",
            "  Downloading selenium-4.19.0-py3-none-any.whl (10.5 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m10.5/10.5 MB\u001b[0m \u001b[31m28.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: urllib3[socks]<3,>=1.26 in /usr/local/lib/python3.10/dist-packages (from selenium) (2.0.7)\n",
            "Collecting trio~=0.17 (from selenium)\n",
            "  Downloading trio-0.25.0-py3-none-any.whl (467 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m467.2/467.2 kB\u001b[0m \u001b[31m36.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting trio-websocket~=0.9 (from selenium)\n",
            "  Downloading trio_websocket-0.11.1-py3-none-any.whl (17 kB)\n",
            "Requirement already satisfied: certifi>=2021.10.8 in /usr/local/lib/python3.10/dist-packages (from selenium) (2024.2.2)\n",
            "Requirement already satisfied: typing_extensions>=4.9.0 in /usr/local/lib/python3.10/dist-packages (from selenium) (4.11.0)\n",
            "Requirement already satisfied: attrs>=23.2.0 in /usr/local/lib/python3.10/dist-packages (from trio~=0.17->selenium) (23.2.0)\n",
            "Requirement already satisfied: sortedcontainers in /usr/local/lib/python3.10/dist-packages (from trio~=0.17->selenium) (2.4.0)\n",
            "Requirement already satisfied: idna in /usr/local/lib/python3.10/dist-packages (from trio~=0.17->selenium) (3.7)\n",
            "Collecting outcome (from trio~=0.17->selenium)\n",
            "  Downloading outcome-1.3.0.post0-py2.py3-none-any.whl (10 kB)\n",
            "Requirement already satisfied: sniffio>=1.3.0 in /usr/local/lib/python3.10/dist-packages (from trio~=0.17->selenium) (1.3.1)\n",
            "Requirement already satisfied: exceptiongroup in /usr/local/lib/python3.10/dist-packages (from trio~=0.17->selenium) (1.2.1)\n",
            "Collecting wsproto>=0.14 (from trio-websocket~=0.9->selenium)\n",
            "  Downloading wsproto-1.2.0-py3-none-any.whl (24 kB)\n",
            "Requirement already satisfied: pysocks!=1.5.7,<2.0,>=1.5.6 in /usr/local/lib/python3.10/dist-packages (from urllib3[socks]<3,>=1.26->selenium) (1.7.1)\n",
            "Collecting h11<1,>=0.9.0 (from wsproto>=0.14->trio-websocket~=0.9->selenium)\n",
            "  Downloading h11-0.14.0-py3-none-any.whl (58 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m58.3/58.3 kB\u001b[0m \u001b[31m9.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hInstalling collected packages: outcome, h11, wsproto, trio, trio-websocket, selenium\n",
            "Successfully installed h11-0.14.0 outcome-1.3.0.post0 selenium-4.19.0 trio-0.25.0 trio-websocket-0.11.1 wsproto-1.2.0\n"
          ]
        }
      ],
      "source": [
        "!pip install selenium\n",
        "from selenium import webdriver\n",
        "chrome_options = webdriver.ChromeOptions()\n",
        "chrome_options.add_argument('--headless')  # 不顯示瀏覽器\n",
        "chrome_options.add_argument('--no-sandbox')# 以最高權限運行"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "BYUmxkI_eGKj"
      },
      "source": [
        "### 9️⃣ 使用 Selenium 取得股票新聞"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 241
        },
        "id": "NYNmlEDcAu4d",
        "outputId": "ed7a5986-ff20-4cc4-9c11-4ea422c897ad"
      },
      "outputs": [
        {
          "data": {
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              "      <th>563</th>\n",
              "      <td>2330</td>\n",
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              "      <td>富驛-KY引新奧援 本土建商成最大股東後市具想像空間</td>\n",
              "      <td>連鎖商旅業者富驛 - KY(2724-TW) 今 (29) 日指出，今年立信機構透過二次增資...</td>\n",
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              "      <td>文．高適\\n汽車朝向智慧化發展，自動駕駛及智慧座艙是兩大主要演進方向。其中，智慧座艙被視為是...</td>\n",
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              "      <td>台股今 (24) 日盤中最高站上 18039.85 點，改寫歷史新高，但午盤過後電子權值、航...</td>\n",
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              "      <td>第20款公司代號：8440公司名稱：綠電發言日期：2021/12/24發言時間：16:42:...</td>\n",
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              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-696ec46f-2a5c-41eb-bf8e-ed9d2dfe1ca2 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "text/plain": [
              "       股號          日期                                                 標題  \\\n",
              "563  2330  2021/12/29                         富驛-KY引新奧援 本土建商成最大股東後市具想像空間   \n",
              "564  2330  2021/12/29                               2022年汽車智慧化 智慧座艙將成主戰場   \n",
              "565  2330  2021/12/24                          外資連四買敲進晶圓雙雄逾2.3萬張 投信終止連八買   \n",
              "566  2330  2021/12/24  綠電:更正本公司110年12月16日之公告本公司最近一年累積處分有價證券達公告標準(交易總金...   \n",
              "567  2330  2021/12/24            台積電:本公司代子公司 TSMC Global Ltd. 公告處分固定收益證券   \n",
              "\n",
              "                                                    內容  \n",
              "563  連鎖商旅業者富驛 - KY(2724-TW) 今 (29) 日指出，今年立信機構透過二次增資...  \n",
              "564  文．高適\\n汽車朝向智慧化發展，自動駕駛及智慧座艙是兩大主要演進方向。其中，智慧座艙被視為是...  \n",
              "565  台股今 (24) 日盤中最高站上 18039.85 點，改寫歷史新高，但午盤過後電子權值、航...  \n",
              "566  第20款公司代號：8440公司名稱：綠電發言日期：2021/12/24發言時間：16:42:...  \n",
              "567  第20款公司代號：2330公司名稱：台積電發言日期：2021/12/24發言時間：15:24...  "
            ]
          },
          "execution_count": 10,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# 透過 options 設定 driver\n",
        "driver = webdriver.Chrome(options=chrome_options)\n",
        "data2=[] # 表格數據\n",
        "# 目標網址\n",
        "url = f\"https://www.cnyes.com/search/news?keyword={stock_id}\"\n",
        "driver.get(url)\n",
        "\n",
        "# 模擬滑動滑鼠滾輪的行為，用於加載更多內容\n",
        "scroll_pause_time = 2  # 等待時間\n",
        "last_height = driver.execute_script(\n",
        "                    \"return document.body.scrollHeight\")\n",
        "while True:\n",
        "    driver.execute_script(\n",
        "        \"window.scrollTo(0, document.body.scrollHeight);\")\n",
        "    time.sleep(scroll_pause_time)\n",
        "    new_height = driver.execute_script(\n",
        "        \"return document.body.scrollHeight\")\n",
        "    if new_height == last_height:\n",
        "        break\n",
        "    last_height = new_height\n",
        "\n",
        "elements = driver.find_elements(\"xpath\",\n",
        "                        '//*[@id=\"_SearchAll\"]/section/div/a')\n",
        "\n",
        "# 擷取網址和標題\n",
        "for element in elements:\n",
        "    link = element.get_attribute(\"href\")\n",
        "    title = element.text\n",
        "    title=title.split('\\n')\n",
        "    data2.append([stock_id, title[1] ,title[0],link])\n",
        "# 關閉瀏覽器\n",
        "driver.quit()\n",
        "for link in data2:\n",
        "  # 使用 requests 前往網址擷取新聞內容\n",
        "  link_a = requests.get(link[3]).content\n",
        "  link_b = BeautifulSoup(link_a,'html.parser')\n",
        "  p_elements = link_b.find('article')\n",
        "  # 取得段落内容\n",
        "  try:\n",
        "    link[3] = p_elements.get_text()\n",
        "  except:\n",
        "    link[3] = '無內容'\n",
        "# 建立表格\n",
        "df = pd.DataFrame(data2,columns=field)\n",
        "df.tail()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "T7knyVgIKzZF"
      },
      "source": [
        "```\n",
        "#把資料存成 csv 可以用以下這段\n",
        "df.to_csv('/content/news_data.csv' )\n",
        "```"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "gO6JUbAodbUP"
      },
      "source": [
        "#3.3 用 Python 套件輕鬆取得股市資料"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "7o5jCuBzdgGO"
      },
      "source": [
        "##使用 yfinance 下載股市資料"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "kCjpgRd7KOL9"
      },
      "source": [
        "### 🔟  安裝及匯入套件"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "background_save": true,
          "base_uri": "https://localhost:8080/"
        },
        "id": "VB8DmpQLdTZw",
        "outputId": "d1aa11bf-dba5-4fde-f29a-692cef27148a"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Collecting yfinance==0.2.38\n",
            "  Downloading yfinance-0.2.38-py2.py3-none-any.whl.metadata (11 kB)\n",
            "Requirement already satisfied: pandas>=1.3.0 in /usr/local/lib/python3.10/dist-packages (from yfinance==0.2.38) (2.2.2)\n",
            "Requirement already satisfied: numpy>=1.16.5 in /usr/local/lib/python3.10/dist-packages (from yfinance==0.2.38) (1.26.4)\n",
            "Requirement already satisfied: requests>=2.31 in /usr/local/lib/python3.10/dist-packages (from yfinance==0.2.38) (2.32.3)\n",
            "Requirement already satisfied: multitasking>=0.0.7 in /usr/local/lib/python3.10/dist-packages (from yfinance==0.2.38) (0.0.11)\n",
            "Requirement already satisfied: lxml>=4.9.1 in /usr/local/lib/python3.10/dist-packages (from yfinance==0.2.38) (4.9.4)\n",
            "Collecting appdirs>=1.4.4 (from yfinance==0.2.38)\n",
            "  Downloading appdirs-1.4.4-py2.py3-none-any.whl.metadata (9.0 kB)\n",
            "Requirement already satisfied: pytz>=2022.5 in /usr/local/lib/python3.10/dist-packages (from yfinance==0.2.38) (2024.2)\n",
            "Requirement already satisfied: frozendict>=2.3.4 in /usr/local/lib/python3.10/dist-packages (from yfinance==0.2.38) (2.4.6)\n",
            "Requirement already satisfied: peewee>=3.16.2 in /usr/local/lib/python3.10/dist-packages (from yfinance==0.2.38) (3.17.7)\n",
            "Requirement already satisfied: beautifulsoup4>=4.11.1 in /usr/local/lib/python3.10/dist-packages (from yfinance==0.2.38) (4.12.3)\n",
            "Requirement already satisfied: html5lib>=1.1 in /usr/local/lib/python3.10/dist-packages (from yfinance==0.2.38) (1.1)\n",
            "Requirement already satisfied: soupsieve>1.2 in /usr/local/lib/python3.10/dist-packages (from beautifulsoup4>=4.11.1->yfinance==0.2.38) (2.6)\n",
            "Requirement already satisfied: six>=1.9 in /usr/local/lib/python3.10/dist-packages (from html5lib>=1.1->yfinance==0.2.38) (1.16.0)\n",
            "Requirement already satisfied: webencodings in /usr/local/lib/python3.10/dist-packages (from html5lib>=1.1->yfinance==0.2.38) (0.5.1)\n",
            "Requirement already satisfied: python-dateutil>=2.8.2 in /usr/local/lib/python3.10/dist-packages (from pandas>=1.3.0->yfinance==0.2.38) (2.8.2)\n",
            "Requirement already satisfied: tzdata>=2022.7 in /usr/local/lib/python3.10/dist-packages (from pandas>=1.3.0->yfinance==0.2.38) (2024.2)\n",
            "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests>=2.31->yfinance==0.2.38) (3.4.0)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests>=2.31->yfinance==0.2.38) (3.10)\n",
            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests>=2.31->yfinance==0.2.38) (2.2.3)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests>=2.31->yfinance==0.2.38) (2024.8.30)\n",
            "Downloading yfinance-0.2.38-py2.py3-none-any.whl (72 kB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m73.0/73.0 kB\u001b[0m \u001b[31m1.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hDownloading appdirs-1.4.4-py2.py3-none-any.whl (9.6 kB)\n",
            "Installing collected packages: appdirs, yfinance\n",
            "  Attempting uninstall: yfinance\n",
            "    Found existing installation: yfinance 0.2.46\n",
            "    Uninstalling yfinance-0.2.46:\n",
            "      Successfully uninstalled yfinance-0.2.46\n",
            "Successfully installed appdirs-1.4.4 yfinance-0.2.38\n"
          ]
        }
      ],
      "source": [
        "!pip install yfinance==0.2.38\n",
        "import yfinance as yf"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "WH6t1W51KfO_"
      },
      "source": [
        "### 1️⃣1️⃣  設定股票代碼和起止時間"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "bm6wXD9Vd1sl"
      },
      "outputs": [],
      "source": [
        "# 指定要下載的股票代碼, 上市為 .TW;上櫃為 .TWO\n",
        "stock_id = '2330.TW'\n",
        "# 設定開始與結束時間\n",
        "end = dt.date.today()\n",
        "start = end - dt.timedelta(days=360)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "pWMb6OHeL5UF"
      },
      "source": [
        "### 1️⃣2️⃣ 取得每日股價 (開高低收) 資料"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 256
        },
        "id": "FABcAlJUd-Gl",
        "outputId": "6ec67135-4840-4ec7-e410-38b733e5ca66"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "\r[*********************100%%**********************]  1 of 1 completed\n"
          ]
        },
        {
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "summary": "{\n  \"name\": \"stock_data\",\n  \"rows\": 5,\n  \"fields\": [\n    {\n      \"column\": \"Date\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": \"2024-04-16 00:00:00\",\n        \"max\": \"2024-04-22 00:00:00\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"2024-04-17 00:00:00\",\n          \"2024-04-22 00:00:00\",\n          \"2024-04-18 00:00:00\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Open\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 26.362852652928137,\n        \"min\": 740.0,\n        \"max\": 802.0,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          798.0,\n          740.0,\n          796.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"High\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 24.398770460824455,\n        \"min\": 757.0,\n        \"max\": 810.0,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          808.0,\n          757.0,\n          810.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Low\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 26.013458055398942,\n        \"min\": 740.0,\n        \"max\": 793.0,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          793.0,\n          740.0,\n          792.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Close\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 29.711950457686214,\n        \"min\": 742.0,\n        \"max\": 804.0,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          804.0,\n          742.0,\n          788.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Adj Close\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 29.711950457686214,\n        \"min\": 742.0,\n        \"max\": 804.0,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          804.0,\n          742.0,\n          788.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Volume\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 39507161,\n        \"min\": 34472074,\n        \"max\": 130968654,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          34472074,\n          46540798,\n          43598591\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}",
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              "\n",
              "  <div id=\"df-89fed22e-c88f-4c53-b27b-a09a30533343\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
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              "      <td>788.0</td>\n",
              "      <td>788.0</td>\n",
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              "      <td>798.0</td>\n",
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              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-89fed22e-c88f-4c53-b27b-a09a30533343')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-89fed22e-c88f-4c53-b27b-a09a30533343 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-89fed22e-c88f-4c53-b27b-a09a30533343');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-fafb26c9-557b-435f-a254-d2aa1e176602\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-fafb26c9-557b-435f-a254-d2aa1e176602')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-fafb26c9-557b-435f-a254-d2aa1e176602 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "text/plain": [
              "             Open   High    Low  Close  Adj Close     Volume\n",
              "Date                                                        \n",
              "2024-04-16  802.0  803.0  785.0  788.0      788.0   49508969\n",
              "2024-04-17  798.0  808.0  793.0  804.0      804.0   34472074\n",
              "2024-04-18  796.0  810.0  792.0  804.0      804.0   43598591\n",
              "2024-04-19  769.0  770.0  746.0  750.0      750.0  130968654\n",
              "2024-04-22  740.0  757.0  740.0  742.0      742.0   46540798"
            ]
          },
          "execution_count": 6,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "stock_data = yf.download(stock_id, start=start, end=end)\n",
        "stock_data.tail()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "UUhvBP1ym-HW"
      },
      "source": [
        "\n",
        "\n",
        "```\n",
        "# 依照資料期間下載\n",
        "stock_data = yf.download(stock_id, period=\"3mo\")\n",
        "\n",
        "# 下載不同時間頻率的資料 (1分K)\n",
        "stock_data = yf.download(stock_id, interval=\"1m\")\n",
        "```\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "GdjvNmSGNCUm"
      },
      "source": [
        "### 1️⃣3️⃣ 取得多檔股票的資料"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 394
        },
        "id": "f3ca4edLlb2u",
        "outputId": "11ec3cd0-fefe-4326-9b58-192cf72d97d3"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "[*********************100%%**********************]  3 of 3 completed\n"
          ]
        },
        {
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-fc0ed0b7-6360-4012-bc2e-83439bd56235\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr>\n",
              "      <th></th>\n",
              "      <th colspan=\"3\" halign=\"left\">Adj Close</th>\n",
              "      <th colspan=\"3\" halign=\"left\">Close</th>\n",
              "      <th colspan=\"3\" halign=\"left\">High</th>\n",
              "      <th colspan=\"3\" halign=\"left\">Low</th>\n",
              "      <th colspan=\"3\" halign=\"left\">Open</th>\n",
              "      <th colspan=\"3\" halign=\"left\">Volume</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th></th>\n",
              "      <th>2303.TW</th>\n",
              "      <th>2330.TW</th>\n",
              "      <th>2454.TW</th>\n",
              "      <th>2303.TW</th>\n",
              "      <th>2330.TW</th>\n",
              "      <th>2454.TW</th>\n",
              "      <th>2303.TW</th>\n",
              "      <th>2330.TW</th>\n",
              "      <th>2454.TW</th>\n",
              "      <th>2303.TW</th>\n",
              "      <th>2330.TW</th>\n",
              "      <th>2454.TW</th>\n",
              "      <th>2303.TW</th>\n",
              "      <th>2330.TW</th>\n",
              "      <th>2454.TW</th>\n",
              "      <th>2303.TW</th>\n",
              "      <th>2330.TW</th>\n",
              "      <th>2454.TW</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",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></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>2023-12-11</th>\n",
              "      <td>49.049999</td>\n",
              "      <td>571.015564</td>\n",
              "      <td>941.0</td>\n",
              "      <td>49.049999</td>\n",
              "      <td>574.0</td>\n",
              "      <td>941.0</td>\n",
              "      <td>49.299999</td>\n",
              "      <td>575.0</td>\n",
              "      <td>944.0</td>\n",
              "      <td>48.650002</td>\n",
              "      <td>570.0</td>\n",
              "      <td>932.0</td>\n",
              "      <td>49.000000</td>\n",
              "      <td>572.0</td>\n",
              "      <td>942.0</td>\n",
              "      <td>28661262</td>\n",
              "      <td>27378610</td>\n",
              "      <td>5648215</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-12-12</th>\n",
              "      <td>49.900002</td>\n",
              "      <td>574.994812</td>\n",
              "      <td>939.0</td>\n",
              "      <td>49.900002</td>\n",
              "      <td>578.0</td>\n",
              "      <td>939.0</td>\n",
              "      <td>49.900002</td>\n",
              "      <td>581.0</td>\n",
              "      <td>950.0</td>\n",
              "      <td>49.200001</td>\n",
              "      <td>575.0</td>\n",
              "      <td>935.0</td>\n",
              "      <td>49.450001</td>\n",
              "      <td>580.0</td>\n",
              "      <td>950.0</td>\n",
              "      <td>48600982</td>\n",
              "      <td>29403010</td>\n",
              "      <td>4510280</td>\n",
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              "    <tr>\n",
              "      <th>2023-12-13</th>\n",
              "      <td>50.200001</td>\n",
              "      <td>574.000000</td>\n",
              "      <td>955.0</td>\n",
              "      <td>50.200001</td>\n",
              "      <td>577.0</td>\n",
              "      <td>955.0</td>\n",
              "      <td>50.200001</td>\n",
              "      <td>579.0</td>\n",
              "      <td>955.0</td>\n",
              "      <td>49.500000</td>\n",
              "      <td>576.0</td>\n",
              "      <td>939.0</td>\n",
              "      <td>50.000000</td>\n",
              "      <td>576.0</td>\n",
              "      <td>944.0</td>\n",
              "      <td>47899791</td>\n",
              "      <td>22977731</td>\n",
              "      <td>5889291</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-12-14</th>\n",
              "      <td>50.400002</td>\n",
              "      <td>582.000000</td>\n",
              "      <td>966.0</td>\n",
              "      <td>50.400002</td>\n",
              "      <td>582.0</td>\n",
              "      <td>966.0</td>\n",
              "      <td>50.500000</td>\n",
              "      <td>582.0</td>\n",
              "      <td>969.0</td>\n",
              "      <td>50.000000</td>\n",
              "      <td>579.0</td>\n",
              "      <td>953.0</td>\n",
              "      <td>50.400002</td>\n",
              "      <td>581.0</td>\n",
              "      <td>961.0</td>\n",
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              "      <td>39409958</td>\n",
              "      <td>6610988</td>\n",
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              "    <tr>\n",
              "      <th>2023-12-15</th>\n",
              "      <td>50.700001</td>\n",
              "      <td>585.000000</td>\n",
              "      <td>996.0</td>\n",
              "      <td>50.700001</td>\n",
              "      <td>585.0</td>\n",
              "      <td>996.0</td>\n",
              "      <td>51.000000</td>\n",
              "      <td>586.0</td>\n",
              "      <td>998.0</td>\n",
              "      <td>50.400002</td>\n",
              "      <td>580.0</td>\n",
              "      <td>971.0</td>\n",
              "      <td>50.700001</td>\n",
              "      <td>585.0</td>\n",
              "      <td>975.0</td>\n",
              "      <td>83947122</td>\n",
              "      <td>54323262</td>\n",
              "      <td>11839614</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-fc0ed0b7-6360-4012-bc2e-83439bd56235')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-fc0ed0b7-6360-4012-bc2e-83439bd56235 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-fc0ed0b7-6360-4012-bc2e-83439bd56235');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-357fe9d4-ba29-4176-88bf-f889ae0a48a2\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-357fe9d4-ba29-4176-88bf-f889ae0a48a2')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-357fe9d4-ba29-4176-88bf-f889ae0a48a2 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "text/plain": [
              "            Adj Close                          Close                  \\\n",
              "              2303.TW     2330.TW 2454.TW    2303.TW 2330.TW 2454.TW   \n",
              "Date                                                                   \n",
              "2023-12-11  49.049999  571.015564   941.0  49.049999   574.0   941.0   \n",
              "2023-12-12  49.900002  574.994812   939.0  49.900002   578.0   939.0   \n",
              "2023-12-13  50.200001  574.000000   955.0  50.200001   577.0   955.0   \n",
              "2023-12-14  50.400002  582.000000   966.0  50.400002   582.0   966.0   \n",
              "2023-12-15  50.700001  585.000000   996.0  50.700001   585.0   996.0   \n",
              "\n",
              "                 High                        Low                       Open  \\\n",
              "              2303.TW 2330.TW 2454.TW    2303.TW 2330.TW 2454.TW    2303.TW   \n",
              "Date                                                                          \n",
              "2023-12-11  49.299999   575.0   944.0  48.650002   570.0   932.0  49.000000   \n",
              "2023-12-12  49.900002   581.0   950.0  49.200001   575.0   935.0  49.450001   \n",
              "2023-12-13  50.200001   579.0   955.0  49.500000   576.0   939.0  50.000000   \n",
              "2023-12-14  50.500000   582.0   969.0  50.000000   579.0   953.0  50.400002   \n",
              "2023-12-15  51.000000   586.0   998.0  50.400002   580.0   971.0  50.700001   \n",
              "\n",
              "                              Volume                      \n",
              "           2330.TW 2454.TW   2303.TW   2330.TW   2454.TW  \n",
              "Date                                                      \n",
              "2023-12-11   572.0   942.0  28661262  27378610   5648215  \n",
              "2023-12-12   580.0   950.0  48600982  29403010   4510280  \n",
              "2023-12-13   576.0   944.0  47899791  22977731   5889291  \n",
              "2023-12-14   581.0   961.0  51468459  39409958   6610988  \n",
              "2023-12-15   585.0   975.0  83947122  54323262  11839614  "
            ]
          },
          "execution_count": 14,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "stocks = [stock_id, '2303.TW', '2454.TW'] #分別為台積電、聯電和聯發科\n",
        "stock_data = yf.download(stocks, start=start, end=end)\n",
        "stock_data.tail()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Q2QDGdsqLUXW"
      },
      "source": [
        "### 1️⃣4️⃣ 取得公司基本資料\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "X2iwguh3lSmw",
        "outputId": "946e7fe0-cd8f-4ec8-9041-d5b563a8e283"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "{'address1': 'Hsinchu Science Park',\n",
              " 'address2': 'No. 8, Li-Hsin Road 6',\n",
              " 'city': 'Hsinchu City',\n",
              " 'zip': '300096',\n",
              " 'country': 'Taiwan',\n",
              " 'phone': '886 3 563 6688',\n",
              " 'fax': '886 3 563 7000',\n",
              " 'website': 'https://www.tsmc.com',\n",
              " 'industry': 'Semiconductors',\n",
              " 'industryKey': 'semiconductors',\n",
              " 'industryDisp': 'Semiconductors',\n",
              " 'sector': 'Technology',\n",
              " 'sectorKey': 'technology',\n",
              " 'sectorDisp': 'Technology',\n",
              " 'longBusinessSummary': 'Taiwan Semiconductor Manufacturing Company Limited, together with its subsidiaries, manufactures, packages, tests, and sells integrated circuits and other semiconductor devices in Taiwan, China, Europe, the Middle East, Africa, Japan, the United States, and internationally. It provides a range of wafer fabrication processes, including processes to manufacture complementary metal- oxide-semiconductor (CMOS) logic, mixed-signal, radio frequency, embedded memory, bipolar CMOS mixed-signal, and others. The company also offers customer and engineering support services; manufactures masks; and invests in technology start-up companies; researches, designs, develops, manufactures, packages, tests, and sells color filters; and provides investment services. Its products are used in high performance computing, smartphones, Internet of things, automotive, and digital consumer electronics. The company was incorporated in 1987 and is headquartered in Hsinchu City, Taiwan.',\n",
              " 'companyOfficers': [{'maxAge': 1,\n",
              "   'name': 'Dr. C. C.  Wei',\n",
              "   'title': 'Vice Chairman & CEO',\n",
              "   'fiscalYear': 2022,\n",
              "   'totalPay': 598000000,\n",
              "   'exercisedValue': 0,\n",
              "   'unexercisedValue': 0},\n",
              "  {'maxAge': 1,\n",
              "   'name': 'Mr. Jen-Chau  Huang',\n",
              "   'title': 'Senior VP of Finance & CFO',\n",
              "   'fiscalYear': 2022,\n",
              "   'totalPay': 108200000,\n",
              "   'exercisedValue': 0,\n",
              "   'unexercisedValue': 0},\n",
              "  {'maxAge': 1,\n",
              "   'name': 'Mr. Y. P. Chyn',\n",
              "   'title': 'Executive VP of Operations & Overseas Operations Office and Co-COO',\n",
              "   'fiscalYear': 2022,\n",
              "   'exercisedValue': 0,\n",
              "   'unexercisedValue': 0},\n",
              "  {'maxAge': 1,\n",
              "   'name': 'Dr. Y. J. Mii',\n",
              "   'title': 'Executive VP of Research & Development and Co-COO',\n",
              "   'fiscalYear': 2022,\n",
              "   'exercisedValue': 0,\n",
              "   'unexercisedValue': 0},\n",
              "  {'maxAge': 1,\n",
              "   'name': 'Dr. Horng-Dar  Lin',\n",
              "   'title': 'Vice President of Corporate Information Technology & Chief Information Officer',\n",
              "   'fiscalYear': 2022,\n",
              "   'exercisedValue': 0,\n",
              "   'unexercisedValue': 0},\n",
              "  {'maxAge': 1,\n",
              "   'name': 'Jeff  Su',\n",
              "   'title': 'Director of Investor Relations',\n",
              "   'fiscalYear': 2022,\n",
              "   'exercisedValue': 0,\n",
              "   'unexercisedValue': 0},\n",
              "  {'maxAge': 1,\n",
              "   'name': 'Ms. Sylvia  Fang',\n",
              "   'title': 'Senior VP of Legal, General Counsel & Corporate Governance Officer',\n",
              "   'fiscalYear': 2022,\n",
              "   'exercisedValue': 0,\n",
              "   'unexercisedValue': 0},\n",
              "  {'maxAge': 1,\n",
              "   'name': 'Ms. Elizabeth  Sun',\n",
              "   'title': 'Senior Director of Corporate Communication Division',\n",
              "   'fiscalYear': 2022,\n",
              "   'exercisedValue': 0,\n",
              "   'unexercisedValue': 0},\n",
              "  {'maxAge': 1,\n",
              "   'name': 'Ms. Li Mei  He Ho',\n",
              "   'title': 'Senior Vice President of Human Resources',\n",
              "   'fiscalYear': 2022,\n",
              "   'exercisedValue': 0,\n",
              "   'unexercisedValue': 0},\n",
              "  {'maxAge': 1,\n",
              "   'name': 'Dr. Wei-Jen  Lo',\n",
              "   'title': 'Senior Vice President of Corporate Strategy Development',\n",
              "   'fiscalYear': 2022,\n",
              "   'exercisedValue': 0,\n",
              "   'unexercisedValue': 0}],\n",
              " 'compensationAsOfEpochDate': 1672444800,\n",
              " 'irWebsite': 'http://www.tsmc.com/english/investorRelations/index.htm',\n",
              " 'maxAge': 86400,\n",
              " 'priceHint': 2,\n",
              " 'previousClose': 742.0,\n",
              " 'open': 761.0,\n",
              " 'dayLow': 752.0,\n",
              " 'dayHigh': 761.0,\n",
              " 'regularMarketPreviousClose': 742.0,\n",
              " 'regularMarketOpen': 761.0,\n",
              " 'regularMarketDayLow': 752.0,\n",
              " 'regularMarketDayHigh': 761.0,\n",
              " 'dividendRate': 14.0,\n",
              " 'dividendYield': 0.0189,\n",
              " 'exDividendDate': 1718236800,\n",
              " 'payoutRatio': 0.36490002,\n",
              " 'fiveYearAvgDividendYield': 2.42,\n",
              " 'beta': 1.24,\n",
              " 'trailingPE': 22.54025,\n",
              " 'forwardPE': 15.485456,\n",
              " 'volume': 14496479,\n",
              " 'regularMarketVolume': 14496479,\n",
              " 'averageVolume': 43675130,\n",
              " 'averageVolume10days': 48505072,\n",
              " 'averageDailyVolume10Day': 48505072,\n",
              " 'bid': 756.0,\n",
              " 'ask': 757.0,\n",
              " 'marketCap': 19606859153408,\n",
              " 'fiftyTwoWeekLow': 489.0,\n",
              " 'fiftyTwoWeekHigh': 826.0,\n",
              " 'priceToSalesTrailing12Months': 8.730663,\n",
              " 'fiftyDayAverage': 745.72,\n",
              " 'twoHundredDayAverage': 610.765,\n",
              " 'trailingAnnualDividendRate': 10.0,\n",
              " 'trailingAnnualDividendYield': 0.013477089,\n",
              " 'currency': 'TWD',\n",
              " 'enterpriseValue': 18315428757504,\n",
              " 'profitMargins': 0.38161,\n",
              " 'floatShares': 24174020400,\n",
              " 'sharesOutstanding': 25934999552,\n",
              " 'heldPercentInstitutions': 0.4284,\n",
              " 'impliedSharesOutstanding': 27802400768,\n",
              " 'bookValue': 140.213,\n",
              " 'priceToBook': 5.391797,\n",
              " 'lastFiscalYearEnd': 1703980800,\n",
              " 'nextFiscalYearEnd': 1735603200,\n",
              " 'mostRecentQuarter': 1711843200,\n",
              " 'earningsQuarterlyGrowth': 0.089,\n",
              " 'netIncomeToCommon': 856995659776,\n",
              " 'trailingEps': 33.54,\n",
              " 'forwardEps': 48.82,\n",
              " 'pegRatio': 0.95,\n",
              " 'lastSplitFactor': '1.005:1',\n",
              " 'lastSplitDate': 1247616000,\n",
              " 'enterpriseToRevenue': 8.156,\n",
              " 'enterpriseToEbitda': 12.118,\n",
              " '52WeekChange': 0.48995984,\n",
              " 'SandP52WeekChange': 0.23061275,\n",
              " 'lastDividendValue': 3.5,\n",
              " 'lastDividendDate': 1718236800,\n",
              " 'exchange': 'TAI',\n",
              " 'quoteType': 'EQUITY',\n",
              " 'symbol': '2330.TW',\n",
              " 'underlyingSymbol': '2330.TW',\n",
              " 'shortName': 'TAIWAN SEMICONDUCTOR MANUFACTUR',\n",
              " 'longName': 'Taiwan Semiconductor Manufacturing Company Limited',\n",
              " 'firstTradeDateEpochUtc': 946947600,\n",
              " 'timeZoneFullName': 'Asia/Taipei',\n",
              " 'timeZoneShortName': 'CST',\n",
              " 'uuid': 'b6844710-30a4-30d3-8c32-2bd2ca535487',\n",
              " 'messageBoardId': 'finmb_380075',\n",
              " 'gmtOffSetMilliseconds': 28800000,\n",
              " 'currentPrice': 756.0,\n",
              " 'targetHighPrice': 1080.0,\n",
              " 'targetLowPrice': 688.0,\n",
              " 'targetMeanPrice': 888.75,\n",
              " 'targetMedianPrice': 900.0,\n",
              " 'recommendationMean': 1.7,\n",
              " 'recommendationKey': 'buy',\n",
              " 'numberOfAnalystOpinions': 24,\n",
              " 'totalCash': 1922655977472,\n",
              " 'totalCashPerShare': 74.148,\n",
              " 'ebitda': 1511369474048,\n",
              " 'totalDebt': 968039989248,\n",
              " 'quickRatio': 2.07,\n",
              " 'currentRatio': 2.39,\n",
              " 'totalRevenue': 2245746753536,\n",
              " 'debtToEquity': 26.408,\n",
              " 'revenuePerShare': 86.61,\n",
              " 'returnOnAssets': 0.10837,\n",
              " 'returnOnEquity': 0.25332,\n",
              " 'freeCashflow': 329548398592,\n",
              " 'operatingCashflow': 1293033406464,\n",
              " 'earningsGrowth': 0.09,\n",
              " 'revenueGrowth': 0.165,\n",
              " 'grossMargins': 0.53573,\n",
              " 'ebitdaMargins': 0.67299,\n",
              " 'operatingMargins': 0.42018002,\n",
              " 'financialCurrency': 'TWD',\n",
              " 'trailingPegRatio': 1.3005}"
            ]
          },
          "execution_count": 7,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "stock = yf.Ticker(stock_id)\n",
        "stock.info # 為字典型態"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "z39n_1vnMhXu"
      },
      "source": [
        "### 1️⃣5️⃣  取得損益表"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "ea7Floh_x9EZ",
        "outputId": "52179acc-6ae1-48b0-df2f-dd26b60c03d7"
      },
      "outputs": [
        {
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "summary": "{\n  \"name\": \"financials\",\n  \"rows\": 5,\n  \"fields\": [\n    {\n      \"column\": \"2023-12-31 00:00:00\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": 60872800000.0,\n        \"max\": 2161735800000.0,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          1175110600000.0,\n          2161735800000.0,\n          60872800000.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"2022-12-31 00:00:00\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": 53524800000.0,\n        \"max\": 2263891300000.0,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          1348354800000.0,\n          2263891300000.0,\n          53524800000.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"2021-12-31 00:00:00\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": 36929600000.0,\n        \"max\": 1587415000000.0,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          819537300000.0,\n          1587415000000.0,\n          36929600000.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"2020-12-31 00:00:00\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": 28457600000.0,\n        \"max\": 1339254800000.0,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          711130100000.0,\n          1339254800000.0,\n          28457600000.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}",
              "type": "dataframe"
            },
            "text/html": [
              "\n",
              "  <div id=\"df-d56152a4-8151-4ff2-b735-5d80b21efcff\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>2023-12-31</th>\n",
              "      <th>2022-12-31</th>\n",
              "      <th>2021-12-31</th>\n",
              "      <th>2020-12-31</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Other Gand A</th>\n",
              "      <td>60872800000.0</td>\n",
              "      <td>53524800000.0</td>\n",
              "      <td>36929600000.0</td>\n",
              "      <td>28457600000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Gross Profit</th>\n",
              "      <td>1175110600000.0</td>\n",
              "      <td>1348354800000.0</td>\n",
              "      <td>819537300000.0</td>\n",
              "      <td>711130100000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Cost Of Revenue</th>\n",
              "      <td>986625200000.0</td>\n",
              "      <td>915536500000.0</td>\n",
              "      <td>767877700000.0</td>\n",
              "      <td>628124700000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Total Revenue</th>\n",
              "      <td>2161735800000.0</td>\n",
              "      <td>2263891300000.0</td>\n",
              "      <td>1587415000000.0</td>\n",
              "      <td>1339254800000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Operating Revenue</th>\n",
              "      <td>2161735800000.0</td>\n",
              "      <td>2263891300000.0</td>\n",
              "      <td>1587415000000.0</td>\n",
              "      <td>1339254800000.0</td>\n",
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              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
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              "        await google.colab.output.renderOutput(dataTable, element);\n",
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              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
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              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
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              "      --disabled-bg-color: #3B4455;\n",
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              "\n",
              "  .colab-df-quickchart {\n",
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              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
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              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
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              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
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              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "text/plain": [
              "                        2023-12-31       2022-12-31       2021-12-31  \\\n",
              "Other Gand A         60872800000.0    53524800000.0    36929600000.0   \n",
              "Gross Profit       1175110600000.0  1348354800000.0   819537300000.0   \n",
              "Cost Of Revenue     986625200000.0   915536500000.0   767877700000.0   \n",
              "Total Revenue      2161735800000.0  2263891300000.0  1587415000000.0   \n",
              "Operating Revenue  2161735800000.0  2263891300000.0  1587415000000.0   \n",
              "\n",
              "                        2020-12-31  \n",
              "Other Gand A         28457600000.0  \n",
              "Gross Profit        711130100000.0  \n",
              "Cost Of Revenue     628124700000.0  \n",
              "Total Revenue      1339254800000.0  \n",
              "Operating Revenue  1339254800000.0  "
            ]
          },
          "execution_count": 8,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "financials = stock.financials\n",
        "financials.tail()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 423
        },
        "id": "S5cY9h1t_dSY",
        "outputId": "269a2109-761d-436f-9cc1-fe4dabbda14e"
      },
      "outputs": [
        {
          "data": {
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              "    <tr>\n",
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              "      <td>6182100000.0</td>\n",
              "      <td>6590000000.0</td>\n",
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              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
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              "\n",
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            ],
            "text/plain": [
              "                                                       2023-12-31  \\\n",
              "Treasury Shares Number                                        0.0   \n",
              "Ordinary Shares Number                              25932070992.0   \n",
              "Share Issued                                        25932070992.0   \n",
              "Total Debt                                         956257900000.0   \n",
              "Tangible Book Value                               3406755700000.0   \n",
              "...                                                           ...   \n",
              "Cash Cash Equivalents And Short Term Investments  1714803200000.0   \n",
              "Other Short Term Investments                       249375400000.0   \n",
              "Cash And Cash Equivalents                         1465427800000.0   \n",
              "Cash Equivalents                                    12326200000.0   \n",
              "Cash Financial                                    1453101600000.0   \n",
              "\n",
              "                                                       2022-12-31  \\\n",
              "Treasury Shares Number                                        NaN   \n",
              "Ordinary Shares Number                              25930380458.0   \n",
              "Share Issued                                        25930380458.0   \n",
              "Total Debt                                         888174400000.0   \n",
              "Tangible Book Value                               2877020500000.0   \n",
              "...                                                           ...   \n",
              "Cash Cash Equivalents And Short Term Investments  1586500100000.0   \n",
              "Other Short Term Investments                       243686000000.0   \n",
              "Cash And Cash Equivalents                         1342814100000.0   \n",
              "Cash Equivalents                                    13522700000.0   \n",
              "Cash Financial                                    1329291400000.0   \n",
              "\n",
              "                                                       2021-12-31  \\\n",
              "Treasury Shares Number                                        NaN   \n",
              "Ordinary Shares Number                              25930380458.0   \n",
              "Share Issued                                        25930380458.0   \n",
              "Total Debt                                         753631900000.0   \n",
              "Tangible Book Value                               2122438100000.0   \n",
              "...                                                           ...   \n",
              "Cash Cash Equivalents And Short Term Investments  1204913700000.0   \n",
              "Other Short Term Investments                       139923500000.0   \n",
              "Cash And Cash Equivalents                         1064990200000.0   \n",
              "Cash Equivalents                                     6182100000.0   \n",
              "Cash Financial                                    1058808100000.0   \n",
              "\n",
              "                                                       2020-12-31  \n",
              "Treasury Shares Number                                        NaN  \n",
              "Ordinary Shares Number                              25930380458.0  \n",
              "Share Issued                                        25930380458.0  \n",
              "Total Debt                                         367792300000.0  \n",
              "Tangible Book Value                               1809043200000.0  \n",
              "...                                                           ...  \n",
              "Cash Cash Equivalents And Short Term Investments   799893200000.0  \n",
              "Other Short Term Investments                       139722600000.0  \n",
              "Cash And Cash Equivalents                          660170600000.0  \n",
              "Cash Equivalents                                     6590000000.0  \n",
              "Cash Financial                                     653580600000.0  \n",
              "\n",
              "[91 rows x 4 columns]"
            ]
          },
          "execution_count": 9,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "bs = stock.balance_sheet\n",
        "bs"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "p6pjy4vfi0xQ"
      },
      "source": [
        "### 1️⃣6️⃣ 取得法人持股比例\n",
        "因 yfinance 資料問題，此儲存格暫時無法使用"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "Cd8BvUQMew-H",
        "outputId": "9b9d539d-55ca-4913-f8f5-ceb567cf4a13"
      },
      "outputs": [
        {
          "data": {
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              "      <td>Invesco Developing Markets Fund</td>\n",
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              "      <th>7</th>\n",
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              "    }\n",
              "    60% {\n",
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              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-ecf7c6e5-dca2-4a97-b86f-de7b93f10816 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "text/plain": [
              "                                              Holder     Shares Date Reported  \\\n",
              "5               Capital World Growth and Income Fund  133697045    2023-09-30   \n",
              "6                    Invesco Developing Markets Fund  112490429    2023-07-31   \n",
              "7  Fidelity Series Emerging Markets Opportunities...   94966577    2023-09-30   \n",
              "8                         Growth Fund Of America Inc   81325000    2023-09-30   \n",
              "9                 Vanguard International Growth Fund   74626000    2023-08-31   \n",
              "\n",
              "    % Out        Value  \n",
              "5  0.0052  77811680190  \n",
              "6  0.0043  65469429678  \n",
              "7  0.0037  55270547814  \n",
              "8  0.0031  47331150000  \n",
              "9  0.0029  43432332000  "
            ]
          },
          "execution_count": 17,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "institutional_holders = stock.institutional_holders\n",
        "institutional_holders.tail()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "GUNyxfTu6bo-"
      },
      "source": [
        "## 使用 FinMind 下載股市資料"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "UMvd-gR4kVUP"
      },
      "source": [
        "### 1️⃣7️⃣  安裝及匯入套件"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "20aDty8h6bLx",
        "outputId": "4b14e44a-3533-4e97-c5b4-19bdf8bcc7fa"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Collecting FinMind\n",
            "  Downloading FinMind-1.6.3-py3-none-any.whl (49 kB)\n",
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            "\u001b[?25hRequirement already satisfied: pandas>=1.1.5 in /usr/local/lib/python3.10/dist-packages (from FinMind) (1.5.3)\n",
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            "Collecting ta~=0.5.25 (from FinMind)\n",
            "  Downloading ta-0.5.25.tar.gz (20 kB)\n",
            "  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
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            "  Downloading jedi-0.19.1-py2.py3-none-any.whl (1.6 MB)\n",
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            "Collecting simplejson (from pyecharts>=1.9.0->FinMind)\n",
            "  Downloading simplejson-3.19.2-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (137 kB)\n",
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            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests>=2.23.0->FinMind) (2023.7.22)\n",
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            "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from Jinja2>=3.0->flask>=2.0.1->FinMind) (2.1.3)\n",
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            "Requirement already satisfied: wcwidth in /usr/local/lib/python3.10/dist-packages (from prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0->ipython>=7.16.1->FinMind) (0.2.8)\n",
            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.8.1->pandas>=1.1.5->FinMind) (1.16.0)\n",
            "Building wheels for collected packages: ta\n",
            "  Building wheel for ta (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for ta: filename=ta-0.5.25-py3-none-any.whl size=24861 sha256=ee0d659b7798e434075260816a926449ec7c69e93603d3f975daf056a0e3c2db\n",
            "  Stored in directory: /root/.cache/pip/wheels/d4/bd/c4/0dda911b5461ee856352cd8c9e16472229bb51c95e74b74c08\n",
            "Successfully built ta\n",
            "Installing collected packages: simplejson, loguru, jedi, pyecharts, ta, FinMind\n",
            "Successfully installed FinMind-1.6.3 jedi-0.19.1 loguru-0.7.2 pyecharts-2.0.4 simplejson-3.19.2 ta-0.5.25\n"
          ]
        }
      ],
      "source": [
        "!pip install FinMind\n",
        "from FinMind.data import DataLoader\n",
        "import getpass"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "JBPG70ZLmXh0"
      },
      "source": [
        "### 1️⃣8️⃣  輸入 FinMind API 和帳號密碼"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "E4zkJW9KlNy4",
        "outputId": "f831cad1-c519-4cfd-f831-64eaefc37ab4"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "請輸入 FinMind 金鑰：··········\n"
          ]
        }
      ],
      "source": [
        "token = getpass.getpass(\"請輸入 FinMind 金鑰：\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Pis0iqQemltv"
      },
      "source": [
        "### 1️⃣9️⃣  建立 FinMind 資料庫物件和登入 FinMind"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "C4WFnBpw7Muu"
      },
      "outputs": [],
      "source": [
        "api = DataLoader()\n",
        "api.login_by_token(api_token=token)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "BJtIol_xnWWh"
      },
      "source": [
        "### 2️⃣0️⃣ 取得股價資料"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "-LBQ0fVJ9mwh",
        "outputId": "89c5e008-2123-4f9d-fdf6-ce3c46209594"
      },
      "outputs": [
        {
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              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-36d1c7a9-9a5b-4ead-b2d7-59a952a694f2 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-36d1c7a9-9a5b-4ead-b2d7-59a952a694f2');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-8e434b91-9270-406b-9276-d4b52cc56ea4\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-8e434b91-9270-406b-9276-d4b52cc56ea4')\"\n",
              "            title=\"Suggest charts.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-8e434b91-9270-406b-9276-d4b52cc56ea4 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "text/plain": [
              "           date stock_id  Trading_Volume  Trading_money   open    max    min  \\\n",
              "230  2023-10-31     2330        28073280    14873552534  535.0  535.0  527.0   \n",
              "231  2023-11-01     2330        14028881     7432561094  533.0  533.0  527.0   \n",
              "232  2023-11-02     2330        31075778    16846430251  536.0  547.0  535.0   \n",
              "233  2023-11-03     2330        16673456     9129495705  547.0  549.0  545.0   \n",
              "234  2023-11-06     2330        31297186    17321453879  553.0  556.0  550.0   \n",
              "\n",
              "     close  spread  Trading_turnover  \n",
              "230  529.0    -3.0             32067  \n",
              "231  528.0    -1.0             15452  \n",
              "232  547.0    19.0             32075  \n",
              "233  549.0     2.0             17911  \n",
              "234  550.0     1.0             32684  "
            ]
          },
          "execution_count": 24,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# 股票代號\n",
        "stock_id = '2330'\n",
        "# 資料期間\n",
        "end = dt.date.today()\n",
        "start = end - dt.timedelta(days=360)\n",
        "\n",
        "stock_data =  api.taiwan_stock_daily(\n",
        "    stock_id=stock_id,\n",
        "    start_date=start,\n",
        "    end_date=end)\n",
        "\n",
        "stock_data.tail()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "8tZaloTinyrI"
      },
      "source": [
        "### 2️⃣1️⃣ 取得損益表資料"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "i0xVXtqMRxbM",
        "outputId": "371f1ee1-ce2c-4d2b-ab41-d7d9bc30427d"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-0c1bb77c-3033-4952-9fd9-8396fb24d264\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>date</th>\n",
              "      <th>stock_id</th>\n",
              "      <th>type</th>\n",
              "      <th>value</th>\n",
              "      <th>origin_name</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>43</th>\n",
              "      <td>2023-06-30</td>\n",
              "      <td>2330</td>\n",
              "      <td>TotalNonoperatingIncomeAndExpense</td>\n",
              "      <td>1.271687e+10</td>\n",
              "      <td>營業外收入及支出</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>44</th>\n",
              "      <td>2023-06-30</td>\n",
              "      <td>2330</td>\n",
              "      <td>OtherComprehensiveIncome</td>\n",
              "      <td>5.659104e+09</td>\n",
              "      <td>其他綜合損益（淨額）</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>45</th>\n",
              "      <td>2023-06-30</td>\n",
              "      <td>2330</td>\n",
              "      <td>GrossProfit</td>\n",
              "      <td>2.601998e+11</td>\n",
              "      <td>營業毛利（毛損）淨額</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>46</th>\n",
              "      <td>2023-06-30</td>\n",
              "      <td>2330</td>\n",
              "      <td>EquityAttributableToOwnersOfParent</td>\n",
              "      <td>1.817990e+11</td>\n",
              "      <td>淨利（淨損）歸屬於母公司業主</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>47</th>\n",
              "      <td>2023-06-30</td>\n",
              "      <td>2330</td>\n",
              "      <td>NoncontrollingInterests</td>\n",
              "      <td>-8.201500e+07</td>\n",
              "      <td>淨利（淨損）歸屬於非控制權益</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-0c1bb77c-3033-4952-9fd9-8396fb24d264')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-0c1bb77c-3033-4952-9fd9-8396fb24d264 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-0c1bb77c-3033-4952-9fd9-8396fb24d264');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-744da839-ba6c-4dab-bfd9-d4236ea75666\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-744da839-ba6c-4dab-bfd9-d4236ea75666')\"\n",
              "            title=\"Suggest charts.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-744da839-ba6c-4dab-bfd9-d4236ea75666 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "text/plain": [
              "          date stock_id                                type         value  \\\n",
              "43  2023-06-30     2330   TotalNonoperatingIncomeAndExpense  1.271687e+10   \n",
              "44  2023-06-30     2330            OtherComprehensiveIncome  5.659104e+09   \n",
              "45  2023-06-30     2330                         GrossProfit  2.601998e+11   \n",
              "46  2023-06-30     2330  EquityAttributableToOwnersOfParent  1.817990e+11   \n",
              "47  2023-06-30     2330             NoncontrollingInterests -8.201500e+07   \n",
              "\n",
              "       origin_name  \n",
              "43        營業外收入及支出  \n",
              "44      其他綜合損益（淨額）  \n",
              "45      營業毛利（毛損）淨額  \n",
              "46  淨利（淨損）歸屬於母公司業主  \n",
              "47  淨利（淨損）歸屬於非控制權益  "
            ]
          },
          "execution_count": 25,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "financial_data = api.taiwan_stock_financial_statement(\n",
        "    stock_id=stock_id,\n",
        "    start_date=str(start),)\n",
        "\n",
        "financial_data.tail()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "dq29GW9YoauY"
      },
      "source": [
        "### 2️⃣2️⃣ 取得法人買賣資料"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "Ff19qxcRoKwR",
        "outputId": "fa824b4f-b1f1-4541-a285-d8c659410da3"
      },
      "outputs": [
        {
          "data": {
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              "      <th></th>\n",
              "      <th>date</th>\n",
              "      <th>stock_id</th>\n",
              "      <th>buy</th>\n",
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              "      <th>1170</th>\n",
              "      <td>2023-11-06</td>\n",
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              "      <td>Foreign_Dealer_Self</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1171</th>\n",
              "      <td>2023-11-06</td>\n",
              "      <td>2330</td>\n",
              "      <td>468000</td>\n",
              "      <td>Investment_Trust</td>\n",
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              "      fill: #FFFFFF;\n",
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              "\n",
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              "        document.querySelector('#df-0450ed18-e6e9-4378-ab1e-cdfc43b49851 button.colab-df-convert');\n",
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              "        const element = document.querySelector('#df-0450ed18-e6e9-4378-ab1e-cdfc43b49851');\n",
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              "                                                    [key], {});\n",
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              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
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              "    width: 32px;\n",
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              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
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              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
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              "    background-color: var(--disabled-bg-color);\n",
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              "\n",
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              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
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              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
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              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-4d6fc6cc-80bc-4ffb-a51f-7a653e5d5ab5 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "text/plain": [
              "            date stock_id       buy                 name      sell\n",
              "1170  2023-11-06     2330         0  Foreign_Dealer_Self         0\n",
              "1171  2023-11-06     2330    468000     Investment_Trust    572432\n",
              "1172  2023-11-06     2330    173000          Dealer_self    181000\n",
              "1173  2023-11-06     2330    224599       Dealer_Hedging     53700\n",
              "1174  2023-11-06     2330  24502766     Foreign_Investor  11671452"
            ]
          },
          "execution_count": 26,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "investors_data = api.taiwan_stock_institutional_investors(\n",
        "    stock_id=stock_id,\n",
        "    start_date=str(start),)\n",
        "investors_data.tail()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "OvdgAbFH63-U"
      },
      "source": [
        "## 使用 FinLab 下載股市資料\n",
        "注意！FinLab 目前需付費才能取得最新資料"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "94epYibdonNf"
      },
      "source": [
        "### 2️⃣3️⃣ 安裝及匯入套件"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "goktSuNg6-We",
        "outputId": "ae091e53-b85f-4f77-e4e4-fdfa062b0528"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Collecting finlab\n",
            "  Downloading finlab-0.5.7-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.9 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2.9/2.9 MB\u001b[0m \u001b[31m30.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from finlab) (2.31.0)\n",
            "Requirement already satisfied: numpy>=1.21.6 in /usr/local/lib/python3.10/dist-packages (from finlab) (1.23.5)\n",
            "Requirement already satisfied: pandas>=1.5.3 in /usr/local/lib/python3.10/dist-packages (from finlab) (1.5.3)\n",
            "Requirement already satisfied: pyarrow>=2.0.0 in /usr/local/lib/python3.10/dist-packages (from finlab) (9.0.0)\n",
            "Collecting lz4 (from finlab)\n",
            "  Downloading lz4-4.3.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.3/1.3 MB\u001b[0m \u001b[31m65.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: Cython in /usr/local/lib/python3.10/dist-packages (from finlab) (3.0.4)\n",
            "Requirement already satisfied: tqdm in /usr/local/lib/python3.10/dist-packages (from finlab) (4.66.1)\n",
            "Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from finlab) (3.1.2)\n",
            "Requirement already satisfied: python-dateutil>=2.8.1 in /usr/local/lib/python3.10/dist-packages (from pandas>=1.5.3->finlab) (2.8.2)\n",
            "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas>=1.5.3->finlab) (2023.3.post1)\n",
            "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->finlab) (2.1.3)\n",
            "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->finlab) (3.3.1)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->finlab) (3.4)\n",
            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->finlab) (2.0.7)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->finlab) (2023.7.22)\n",
            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.8.1->pandas>=1.5.3->finlab) (1.16.0)\n",
            "Installing collected packages: lz4, finlab\n",
            "Successfully installed finlab-0.5.7 lz4-4.3.2\n",
            "Mounted at /content/drive\n"
          ]
        }
      ],
      "source": [
        "!pip install finlab\n",
        "import finlab\n",
        "from finlab import data"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "3ymTBTc2rSZv"
      },
      "source": [
        "### 2️⃣4️⃣ 登入 FinLab"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ypzVjQed9BiF",
        "outputId": "3896a3e8-7ab3-4bb7-f9aa-330b4aaa3cce"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "請輸入FinLab金鑰：··········\n",
            "輸入成功!\n"
          ]
        }
      ],
      "source": [
        "token = getpass.getpass(\"請輸入FinLab金鑰：\")\n",
        "finlab.login(token)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "AbYDi40ArYzZ"
      },
      "source": [
        "### 2️⃣5️⃣ 取得收盤價"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 305
        },
        "id": "lX4lqlON8A9u",
        "outputId": "2dc709fd-fd8c-4433-8abd-35146f306240"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Due to your status as a free user, the most recent data has been shortened or limited.\n",
            "Daily usage: 12.2 / 500 MB - price:收盤價\n"
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              "symbol      0015    0050   0051    0052   0053   0054   0055   0056   0057  \\\n",
              "date                                                                         \n",
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              "2020-12-29   NaN  119.90  43.79  108.00  56.80  27.90  17.71  29.67  79.60   \n",
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              "date              ...                                                         \n",
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              "date                     \n",
              "2020-12-25    NaN  9.73  \n",
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              "2020-12-30  33.95  9.98  \n",
              "2020-12-31  34.00  9.98  \n",
              "\n",
              "[5 rows x 2155 columns]"
            ]
          },
          "execution_count": 29,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "close = data.get('price:收盤價')\n",
        "close.tail()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "OQo5E3nQrdOO"
      },
      "source": [
        "### 2️⃣6️⃣ 選擇產業"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 286
        },
        "id": "CaKdj_IChYBY",
        "outputId": "00b54986-5fea-4a7a-ef05-f2dbc2590747"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Daily usage: 12.3 / 500 MB - security_categories\n"
          ]
        },
        {
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              "      <th></th>\n",
              "      <th></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>2020-12-25</th>\n",
              "      <td>24.50</td>\n",
              "      <td>46.75</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>14.90</td>\n",
              "      <td>511.0</td>\n",
              "      <td>40.40</td>\n",
              "      <td>40.35</td>\n",
              "      <td>25.4</td>\n",
              "      <td>36.95</td>\n",
              "      <td>...</td>\n",
              "      <td>14.95</td>\n",
              "      <td>262.0</td>\n",
              "      <td>159.0</td>\n",
              "      <td>56.9</td>\n",
              "      <td>158.5</td>\n",
              "      <td>14.05</td>\n",
              "      <td>37.45</td>\n",
              "      <td>34.40</td>\n",
              "      <td>53.0</td>\n",
              "      <td>39.35</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2020-12-28</th>\n",
              "      <td>24.70</td>\n",
              "      <td>48.60</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>15.95</td>\n",
              "      <td>515.0</td>\n",
              "      <td>43.80</td>\n",
              "      <td>42.70</td>\n",
              "      <td>26.1</td>\n",
              "      <td>40.60</td>\n",
              "      <td>...</td>\n",
              "      <td>15.25</td>\n",
              "      <td>250.0</td>\n",
              "      <td>164.0</td>\n",
              "      <td>58.5</td>\n",
              "      <td>161.5</td>\n",
              "      <td>14.35</td>\n",
              "      <td>37.75</td>\n",
              "      <td>34.50</td>\n",
              "      <td>52.4</td>\n",
              "      <td>39.90</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2020-12-29</th>\n",
              "      <td>23.80</td>\n",
              "      <td>47.40</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>15.50</td>\n",
              "      <td>515.0</td>\n",
              "      <td>41.85</td>\n",
              "      <td>41.50</td>\n",
              "      <td>25.9</td>\n",
              "      <td>39.50</td>\n",
              "      <td>...</td>\n",
              "      <td>15.10</td>\n",
              "      <td>236.0</td>\n",
              "      <td>161.0</td>\n",
              "      <td>58.2</td>\n",
              "      <td>159.5</td>\n",
              "      <td>13.90</td>\n",
              "      <td>37.70</td>\n",
              "      <td>35.00</td>\n",
              "      <td>51.3</td>\n",
              "      <td>39.45</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2020-12-30</th>\n",
              "      <td>23.95</td>\n",
              "      <td>48.30</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>15.25</td>\n",
              "      <td>525.0</td>\n",
              "      <td>42.35</td>\n",
              "      <td>41.35</td>\n",
              "      <td>26.1</td>\n",
              "      <td>39.35</td>\n",
              "      <td>...</td>\n",
              "      <td>15.05</td>\n",
              "      <td>246.0</td>\n",
              "      <td>161.5</td>\n",
              "      <td>57.4</td>\n",
              "      <td>160.0</td>\n",
              "      <td>14.00</td>\n",
              "      <td>37.80</td>\n",
              "      <td>34.70</td>\n",
              "      <td>51.6</td>\n",
              "      <td>39.50</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2020-12-31</th>\n",
              "      <td>24.50</td>\n",
              "      <td>47.15</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>15.05</td>\n",
              "      <td>530.0</td>\n",
              "      <td>42.30</td>\n",
              "      <td>40.35</td>\n",
              "      <td>27.5</td>\n",
              "      <td>38.65</td>\n",
              "      <td>...</td>\n",
              "      <td>15.10</td>\n",
              "      <td>238.0</td>\n",
              "      <td>162.5</td>\n",
              "      <td>58.7</td>\n",
              "      <td>159.5</td>\n",
              "      <td>13.80</td>\n",
              "      <td>37.80</td>\n",
              "      <td>34.35</td>\n",
              "      <td>52.9</td>\n",
              "      <td>39.30</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 87 columns</p>\n",
              "</div>\n",
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              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
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              "          + ' to learn more about interactive tables.';\n",
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              "\n",
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              "  .colab-df-quickchart {\n",
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              "  [theme=dark] .colab-df-quickchart {\n",
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              "\n",
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              "    border-radius: 50%;\n",
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              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
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              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
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              "    20% {\n",
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              "    }\n",
              "    30% {\n",
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              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
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              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
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              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
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              "    90% {\n",
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              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-3eaad8a4-ec30-4edd-9ed4-70fb746bcdc5 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "text/plain": [
              "symbol       2302   2303  2311  2325   2329   2330   2337   2338  2340   2342  \\\n",
              "date                                                                            \n",
              "2020-12-25  24.50  46.75   NaN   NaN  14.90  511.0  40.40  40.35  25.4  36.95   \n",
              "2020-12-28  24.70  48.60   NaN   NaN  15.95  515.0  43.80  42.70  26.1  40.60   \n",
              "2020-12-29  23.80  47.40   NaN   NaN  15.50  515.0  41.85  41.50  25.9  39.50   \n",
              "2020-12-30  23.95  48.30   NaN   NaN  15.25  525.0  42.35  41.35  26.1  39.35   \n",
              "2020-12-31  24.50  47.15   NaN   NaN  15.05  530.0  42.30  40.35  27.5  38.65   \n",
              "\n",
              "symbol      ...   6573   6756   8016  8028   8081   8110   8131   8150  8261  \\\n",
              "date        ...                                                                \n",
              "2020-12-25  ...  14.95  262.0  159.0  56.9  158.5  14.05  37.45  34.40  53.0   \n",
              "2020-12-28  ...  15.25  250.0  164.0  58.5  161.5  14.35  37.75  34.50  52.4   \n",
              "2020-12-29  ...  15.10  236.0  161.0  58.2  159.5  13.90  37.70  35.00  51.3   \n",
              "2020-12-30  ...  15.05  246.0  161.5  57.4  160.0  14.00  37.80  34.70  51.6   \n",
              "2020-12-31  ...  15.10  238.0  162.5  58.7  159.5  13.80  37.80  34.35  52.9   \n",
              "\n",
              "symbol       8271  \n",
              "date               \n",
              "2020-12-25  39.35  \n",
              "2020-12-28  39.90  \n",
              "2020-12-29  39.45  \n",
              "2020-12-30  39.50  \n",
              "2020-12-31  39.30  \n",
              "\n",
              "[5 rows x 87 columns]"
            ]
          },
          "execution_count": 30,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "data.set_universe(market='TSE', category='半導體')\n",
        "close = data.get('price:收盤價')\n",
        "close.tail()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "HeYoQ3_9rfKw"
      },
      "source": [
        "### 2️⃣7️⃣ 取得財報資料"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 286
        },
        "id": "Gcac2GUKJEyW",
        "outputId": "0f0bddc9-5599-463e-b1cb-6f9a2573f22a"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Daily usage: 13.5 / 500 MB - financial_statement:每股盈餘\n"
          ]
        },
        {
          "data": {
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              "      <td>0.80</td>\n",
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              "      <td>0.22</td>\n",
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              "      <td>0.44</td>\n",
              "      <td>2.19</td>\n",
              "      <td>0.32</td>\n",
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              "      <td>0.72</td>\n",
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              "    <tr>\n",
              "      <th>2020-Q1</th>\n",
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              "      <td>0.19</td>\n",
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              "      <td>0.02</td>\n",
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              "      <td>-0.69</td>\n",
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              "      <td>1.53</td>\n",
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              "    <tr>\n",
              "      <th>2020-Q2</th>\n",
              "      <td>0.01</td>\n",
              "      <td>0.55</td>\n",
              "      <td>1.23</td>\n",
              "      <td>1.55</td>\n",
              "      <td>-0.50</td>\n",
              "      <td>4.66</td>\n",
              "      <td>0.72</td>\n",
              "      <td>0.66</td>\n",
              "      <td>0.19</td>\n",
              "      <td>-0.91</td>\n",
              "      <td>...</td>\n",
              "      <td>3.86</td>\n",
              "      <td>1.35</td>\n",
              "      <td>2.43</td>\n",
              "      <td>0.31</td>\n",
              "      <td>2.73</td>\n",
              "      <td>0.18</td>\n",
              "      <td>0.78</td>\n",
              "      <td>0.75</td>\n",
              "      <td>0.57</td>\n",
              "      <td>0.57</td>\n",
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              "    <tr>\n",
              "      <th>2020-Q3</th>\n",
              "      <td>0.21</td>\n",
              "      <td>0.75</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.02</td>\n",
              "      <td>5.30</td>\n",
              "      <td>0.88</td>\n",
              "      <td>1.27</td>\n",
              "      <td>0.55</td>\n",
              "      <td>2.00</td>\n",
              "      <td>...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.63</td>\n",
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              "      <td>3.55</td>\n",
              "      <td>0.42</td>\n",
              "      <td>0.80</td>\n",
              "      <td>0.58</td>\n",
              "      <td>0.68</td>\n",
              "      <td>0.24</td>\n",
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            "text/plain": [
              "symbol   2302  2303  2311  2325  2329  2330  2337  2338  2340  2342  ...  \\\n",
              "date                                                                 ...   \n",
              "2019-Q3  0.02  0.25   NaN   NaN  0.45  3.90  1.01  0.66  0.50 -1.10  ...   \n",
              "2019-Q4 -0.08  0.32  1.41  1.46  0.08  4.48  0.41  0.62  0.38 -0.89  ...   \n",
              "2020-Q1 -0.09  0.19   NaN   NaN  0.02  4.51  0.67 -1.09  0.32 -0.69  ...   \n",
              "2020-Q2  0.01  0.55  1.23  1.55 -0.50  4.66  0.72  0.66  0.19 -0.91  ...   \n",
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              "\n",
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              "date                                                                 \n",
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              "2020-Q1   NaN   NaN  2.43  0.28  2.73 -0.27  0.88  0.98  0.29  1.53  \n",
              "2020-Q2  3.86  1.35  2.43  0.31  2.73  0.18  0.78  0.75  0.57  0.57  \n",
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              "\n",
              "[5 rows x 91 columns]"
            ]
          },
          "execution_count": 31,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df = data.get('financial_statement:每股盈餘')\n",
        "df.tail()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "bDs2Ss2-rhKO"
      },
      "source": [
        "### 2️⃣8️⃣  取得法人資料"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 286
        },
        "id": "A_9otb2LKif9",
        "outputId": "6585fc8c-3fd1-4457-b19d-8ec4be5cdb54"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Daily usage: 18.4 / 500 MB - institutional_investors_trading_summary:投信買賣超股數\n"
          ]
        },
        {
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              "      <td>263000.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>419000.0</td>\n",
              "      <td>396000.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>-1000.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 87 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-6a1c812e-6195-47a6-a811-8032f64badb0')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-6a1c812e-6195-47a6-a811-8032f64badb0 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-6a1c812e-6195-47a6-a811-8032f64badb0');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-f999d385-c33b-4847-beb6-1885e310b2a2\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-f999d385-c33b-4847-beb6-1885e310b2a2')\"\n",
              "            title=\"Suggest charts.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-f999d385-c33b-4847-beb6-1885e310b2a2 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "text/plain": [
              "symbol      2302       2303  2311  2325  2329      2330       2337  2338  \\\n",
              "date                                                                       \n",
              "2020-12-25   0.0  1743000.0   NaN   NaN   0.0 -420000.0  -685000.0   0.0   \n",
              "2020-12-28   0.0  5804000.0   NaN   NaN   0.0   26000.0   816000.0   0.0   \n",
              "2020-12-29   0.0  2141930.0   NaN   NaN   0.0  -88180.0  1449000.0   0.0   \n",
              "2020-12-30   0.0   452000.0   NaN   NaN   0.0  257000.0  3507000.0   0.0   \n",
              "2020-12-31   0.0   263000.0   NaN   NaN   0.0  419000.0   396000.0   0.0   \n",
              "\n",
              "symbol      2340      2342  ...  6573  6756     8016      8028  8081  8110  \\\n",
              "date                        ...                                              \n",
              "2020-12-25   0.0  250000.0  ...   0.0   0.0   8000.0 -122000.0   0.0   0.0   \n",
              "2020-12-28   0.0       0.0  ...   0.0   0.0  64000.0 -200000.0   0.0   0.0   \n",
              "2020-12-29   0.0  100000.0  ...   0.0   0.0 -18000.0 -213000.0   0.0   0.0   \n",
              "2020-12-30   0.0       0.0  ...   0.0   0.0  27000.0 -104000.0   0.0   0.0   \n",
              "2020-12-31   0.0       0.0  ...   0.0   0.0  -1000.0       0.0   0.0   0.0   \n",
              "\n",
              "symbol      8131      8150  8261  8271  \n",
              "date                                    \n",
              "2020-12-25   0.0  151000.0   0.0   0.0  \n",
              "2020-12-28   0.0 -142000.0   0.0   0.0  \n",
              "2020-12-29   0.0    2000.0   0.0   0.0  \n",
              "2020-12-30   0.0  -90000.0   0.0   0.0  \n",
              "2020-12-31   0.0       0.0   0.0   0.0  \n",
              "\n",
              "[5 rows x 87 columns]"
            ]
          },
          "execution_count": 32,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df = data.get('institutional_investors_trading_summary:投信買賣超股數')\n",
        "df.tail()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "VMborLmM4IdC"
      },
      "source": [
        "#3.4 SQL資料庫"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "mfKhIDNN-toO"
      },
      "source": [
        "### 2️⃣9️⃣ 匯入套件及連線資料庫"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "KpW8qGVU4IH3"
      },
      "outputs": [],
      "source": [
        "import sqlite3\n",
        "conn = sqlite3.connect('stock.db')"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "LC-kEovw-vCZ"
      },
      "source": [
        "### 3️⃣0️⃣設定資料庫結構"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "7cHoZeE94QLg"
      },
      "outputs": [],
      "source": [
        "cursor = conn.cursor()\n",
        "cursor.execute('''\n",
        "CREATE TABLE IF NOT EXISTS 日頻資料 (\n",
        "    sno INTEGER PRIMARY KEY AUTOINCREMENT,\n",
        "    Stock_Id TEXT,\n",
        "    Date DATE,\n",
        "    Open FLOAT,\n",
        "    High FLOAT,\n",
        "    Low FLOAT,\n",
        "    Close FLOAT,\n",
        "    Adj_Close FLOAT,\n",
        "    Volume INTEGER\n",
        ");\n",
        "''')\n",
        "conn.commit()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "zPfnTZIX-vzf"
      },
      "source": [
        "### 3️⃣1️⃣ 傳入資料到資料庫"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "3yq48NIlwat6",
        "outputId": "daccad1a-c3e7-4ea4-9881-cd9537c4c68a"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\r[*********************100%%**********************]  1 of 1 completed\n"
          ]
        },
        {
          "data": {
            "text/plain": [
              "67"
            ]
          },
          "execution_count": 35,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df = yf.download('2330.TW',start='2023-08-01')\n",
        "df = df.reset_index()\n",
        "df['Date'] = df['Date'].dt.strftime('%Y-%m-%d')\n",
        "df.rename(columns={\"Adj Close\": \"Adj_Close\"}, inplace=True)\n",
        "df.insert(0,'Stock_id','2330')\n",
        "\n",
        "df.to_sql('日頻資料',conn,if_exists='append',index=False)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "HhTgklJ07TJX"
      },
      "source": [
        "### 3️⃣2️⃣ 查詢表格資料"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "vo3bH5krQQVX",
        "outputId": "75d0baaa-7882-4ae0-cfbb-1b8c3f07c721"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "資料庫表 '日頻資料' 的欄位名稱： ['sno', 'Stock_Id', 'Date', 'Open', 'High', 'Low', 'Close', 'Adj_Close', 'Volume']\n",
            "(1, '2330', '2023-08-01', 565.0, 568.0, 564.0, 567.0, 563.8558349609375, 16259643)\n",
            "(2, '2330', '2023-08-02', 567.0, 569.0, 558.0, 561.0, 557.8890991210938, 25583234)\n",
            "(3, '2330', '2023-08-04', 556.0, 560.0, 552.0, 554.0, 550.9279174804688, 26279173)\n",
            "(4, '2330', '2023-08-07', 558.0, 561.0, 556.0, 558.0, 554.90576171875, 14369551)\n",
            "(5, '2330', '2023-08-08', 558.0, 558.0, 551.0, 552.0, 548.9390258789062, 19010690)\n",
            "(6, '2330', '2023-08-09', 550.0, 557.0, 550.0, 554.0, 550.9279174804688, 14389090)\n",
            "(7, '2330', '2023-08-10', 552.0, 554.0, 550.0, 551.0, 547.944580078125, 17892615)\n",
            "(8, '2330', '2023-08-11', 556.0, 558.0, 546.0, 546.0, 542.9722900390625, 17608427)\n",
            "(9, '2330', '2023-08-14', 540.0, 543.0, 537.0, 541.0, 538.0, 20939030)\n",
            "(10, '2330', '2023-08-15', 543.0, 545.0, 540.0, 542.0, 538.9944458007812, 14066307)\n",
            "(11, '2330', '2023-08-16', 541.0, 543.0, 536.0, 542.0, 538.9944458007812, 28269840)\n",
            "(12, '2330', '2023-08-17', 540.0, 546.0, 537.0, 544.0, 540.9833984375, 22843138)\n",
            "(13, '2330', '2023-08-18', 540.0, 544.0, 539.0, 539.0, 536.0111083984375, 17592345)\n",
            "(14, '2330', '2023-08-21', 544.0, 544.0, 534.0, 537.0, 534.022216796875, 16633821)\n",
            "(15, '2330', '2023-08-22', 544.0, 544.0, 538.0, 541.0, 538.0, 14594304)\n",
            "(16, '2330', '2023-08-23', 546.0, 552.0, 544.0, 552.0, 548.9390258789062, 20636332)\n",
            "(17, '2330', '2023-08-24', 563.0, 564.0, 558.0, 564.0, 560.8724975585938, 23280827)\n",
            "(18, '2330', '2023-08-25', 549.0, 551.0, 546.0, 546.0, 542.9722900390625, 24144537)\n",
            "(19, '2330', '2023-08-28', 547.0, 553.0, 547.0, 549.0, 545.9556274414062, 8991985)\n",
            "(20, '2330', '2023-08-29', 551.0, 553.0, 546.0, 552.0, 548.9390258789062, 10516678)\n",
            "(21, '2330', '2023-08-30', 558.0, 560.0, 554.0, 555.0, 551.92236328125, 15117416)\n",
            "(22, '2330', '2023-08-31', 553.0, 556.0, 548.0, 549.0, 545.9556274414062, 40431378)\n",
            "(23, '2330', '2023-09-01', 543.0, 553.0, 543.0, 548.0, 544.961181640625, 13669766)\n",
            "(24, '2330', '2023-09-04', 549.0, 557.0, 549.0, 557.0, 553.9113159179688, 9531157)\n",
            "(25, '2330', '2023-09-05', 553.0, 555.0, 550.0, 552.0, 548.9390258789062, 12220686)\n",
            "(26, '2330', '2023-09-06', 556.0, 556.0, 550.0, 550.0, 546.9501342773438, 14067008)\n",
            "(27, '2330', '2023-09-07', 546.0, 548.0, 542.0, 542.0, 538.9944458007812, 20717005)\n",
            "(28, '2330', '2023-09-08', 535.0, 540.0, 535.0, 539.0, 536.0111083984375, 15283568)\n",
            "(29, '2330', '2023-09-11', 539.0, 540.0, 536.0, 536.0, 533.0277709960938, 14631968)\n",
            "(30, '2330', '2023-09-12', 536.0, 545.0, 536.0, 544.0, 540.9833984375, 16028336)\n",
            "(31, '2330', '2023-09-13', 545.0, 548.0, 541.0, 541.0, 538.0, 16191392)\n",
            "(32, '2330', '2023-09-14', 544.0, 550.0, 543.0, 550.0, 550.0, 17144287)\n",
            "(33, '2330', '2023-09-15', 549.0, 558.0, 547.0, 558.0, 558.0, 42517441)\n",
            "(34, '2330', '2023-09-18', 548.0, 549.0, 540.0, 540.0, 540.0, 36684692)\n",
            "(35, '2330', '2023-09-19', 539.0, 543.0, 538.0, 538.0, 538.0, 18901683)\n",
            "(36, '2330', '2023-09-20', 536.0, 538.0, 535.0, 535.0, 535.0, 24635567)\n",
            "(37, '2330', '2023-09-21', 530.0, 531.0, 526.0, 527.0, 527.0, 32012694)\n",
            "(38, '2330', '2023-09-22', 523.0, 525.0, 522.0, 522.0, 522.0, 29049309)\n",
            "(39, '2330', '2023-09-25', 522.0, 529.0, 522.0, 525.0, 525.0, 17116402)\n",
            "(40, '2330', '2023-09-26', 521.0, 524.0, 519.0, 519.0, 519.0, 26392692)\n",
            "(41, '2330', '2023-09-27', 517.0, 523.0, 516.0, 522.0, 522.0, 16846401)\n",
            "(42, '2330', '2023-09-28', 523.0, 525.0, 520.0, 523.0, 523.0, 19733331)\n",
            "(43, '2330', '2023-10-02', 530.0, 534.0, 528.0, 533.0, 533.0, 25427911)\n",
            "(44, '2330', '2023-10-03', 528.0, 533.0, 528.0, 529.0, 529.0, 14490129)\n",
            "(45, '2330', '2023-10-04', 521.0, 523.0, 519.0, 520.0, 520.0, 28358964)\n",
            "(46, '2330', '2023-10-05', 523.0, 529.0, 523.0, 528.0, 528.0, 24945684)\n",
            "(47, '2330', '2023-10-06', 530.0, 533.0, 529.0, 532.0, 532.0, 15336587)\n",
            "(48, '2330', '2023-10-11', 542.0, 544.0, 540.0, 544.0, 544.0, 46639969)\n",
            "(49, '2330', '2023-10-12', 545.0, 550.0, 544.0, 550.0, 550.0, 34161176)\n",
            "(50, '2330', '2023-10-13', 550.0, 554.0, 548.0, 553.0, 553.0, 31123496)\n",
            "(51, '2330', '2023-10-16', 546.0, 547.0, 542.0, 545.0, 545.0, 19875676)\n",
            "(52, '2330', '2023-10-17', 550.0, 552.0, 548.0, 551.0, 551.0, 18364998)\n",
            "(53, '2330', '2023-10-18', 549.0, 549.0, 540.0, 540.0, 540.0, 26418940)\n",
            "(54, '2330', '2023-10-19', 540.0, 548.0, 540.0, 546.0, 546.0, 22881262)\n",
            "(55, '2330', '2023-10-20', 549.0, 556.0, 546.0, 556.0, 556.0, 45984177)\n",
            "(56, '2330', '2023-10-23', 552.0, 553.0, 543.0, 544.0, 544.0, 22747367)\n",
            "(57, '2330', '2023-10-24', 543.0, 546.0, 540.0, 544.0, 544.0, 15007814)\n",
            "(58, '2330', '2023-10-25', 544.0, 551.0, 544.0, 544.0, 544.0, 16526355)\n",
            "(59, '2330', '2023-10-26', 530.0, 535.0, 530.0, 531.0, 531.0, 28188348)\n",
            "(60, '2330', '2023-10-27', 534.0, 536.0, 532.0, 533.0, 533.0, 15679643)\n",
            "(61, '2330', '2023-10-30', 531.0, 534.0, 528.0, 532.0, 532.0, 21404842)\n",
            "(62, '2330', '2023-10-31', 535.0, 535.0, 527.0, 529.0, 529.0, 25667058)\n",
            "(63, '2330', '2023-11-01', 533.0, 533.0, 527.0, 528.0, 528.0, 13603347)\n",
            "(64, '2330', '2023-11-02', 536.0, 547.0, 535.0, 547.0, 547.0, 29401438)\n",
            "(65, '2330', '2023-11-03', 547.0, 549.0, 545.0, 549.0, 549.0, 15426176)\n",
            "(66, '2330', '2023-11-06', 553.0, 556.0, 550.0, 550.0, 550.0, 29215201)\n",
            "(67, '2330', '2023-11-07', 552.0, 554.0, 550.0, 553.0, 553.0, 7698600)\n"
          ]
        }
      ],
      "source": [
        "def table_info(table_name):\n",
        "    cursor = conn.cursor()\n",
        "    cursor.execute(f\"PRAGMA table_info({table_name})\")\n",
        "    columns = cursor.fetchall()\n",
        "    column_names = [column[1] for column in columns]\n",
        "    print(f\"資料庫表 '{table_name}' 的欄位名稱：\", column_names)\n",
        "    all_data = conn.execute(f'SELECT * FROM {table_name}')\n",
        "    for i in all_data.fetchall():\n",
        "        print(i)\n",
        "\n",
        "# 查詢表格資料\n",
        "table_info(\"日頻資料\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Y5mIHWas7T6P"
      },
      "source": [
        "### 3️⃣3️⃣ 新增資料"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "4jE2lRHj4mF6",
        "outputId": "d768303b-ccc1-40d2-b57d-0cc6fbf1f0f2"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\r[*********************100%%**********************]  1 of 1 completed\n"
          ]
        }
      ],
      "source": [
        "def insert_data(stock_id, start):\n",
        "  # 下載資料\n",
        "  df = yf.download(f'{stock_id}.TW',start=start)\n",
        "  df = df.reset_index()\n",
        "  df.rename(columns={\"Adj Close\": \"Adj_Close\"}, inplace=True)\n",
        "  df['Date'] = df['Date'].dt.strftime('%Y-%m-%d')\n",
        "  df.insert(0,'Stock_Id',stock_id)\n",
        "\n",
        "  # 新增資料表\n",
        "  df.to_sql('日頻資料',conn,if_exists='append',index=False)\n",
        "\n",
        "# 新增 2317 資料\n",
        "insert_data(stock_id=2317, start='2023-08-01')"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "P748fg-Vvy_O"
      },
      "source": [
        "### 3️⃣4️⃣ 從資料庫取得資料"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "svr1sOd3slG-",
        "outputId": "fb8196f6-783f-4e77-83cc-e5d22dd16113"
      },
      "outputs": [
        {
          "data": {
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              "\n",
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              "    <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>Stock_Id</th>\n",
              "      <th>Date</th>\n",
              "      <th>Close</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
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              "      <th>4</th>\n",
              "      <td>2317</td>\n",
              "      <td>2023-08-08</td>\n",
              "      <td>110.5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>2317</td>\n",
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              "      <td>110.5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>2317</td>\n",
              "      <td>2023-08-10</td>\n",
              "      <td>110.0</td>\n",
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              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>2317</td>\n",
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              "      <td>108.5</td>\n",
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              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
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              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
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              "  }\n",
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              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
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              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-98ce0924-527f-44cb-9cfe-ffdf7895e44f button');\n",
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              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "text/plain": [
              "  Stock_Id       Date  Close\n",
              "4     2317 2023-08-08  110.5\n",
              "5     2317 2023-08-09  110.5\n",
              "6     2317 2023-08-10  110.0\n",
              "7     2317 2023-08-11  108.5\n",
              "8     2317 2023-08-14  110.0"
            ]
          },
          "execution_count": 38,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "query = (\"SELECT Stock_id, Date, Close \"\n",
        "         \"FROM 日頻資料 \"\n",
        "         \"WHERE Date < '2023-08-15' AND Stock_id = '2317'\")\n",
        "df = pd.read_sql(query, conn, parse_dates=['Date'])\n",
        "df.tail()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "m8ouXUF87Uop"
      },
      "source": [
        "### 3️⃣5️⃣ 修改並關閉資料庫"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "1__gh5Q6580x"
      },
      "outputs": [],
      "source": [
        "conn.commit()\n",
        "conn.close()"
      ]
    }
  ],
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}