CH2.3 - 금융 데이터 분석을 위한 오픈 API 활용.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 금융 데이터 분석을 위한 오픈 API 활용"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting finance-datareader\n",
      "  Downloading finance_datareader-0.9.31-py3-none-any.whl (17 kB)\n",
      "Requirement already satisfied, skipping upgrade: tqdm in /usr/local/lib/python3.7/site-packages (from finance-datareader) (4.51.0)\n",
      "Collecting requests-file\n",
      "  Downloading requests_file-1.5.1-py2.py3-none-any.whl (3.7 kB)\n",
      "Requirement already satisfied, skipping upgrade: requests>=2.3.0 in /usr/local/lib/python3.7/site-packages (from finance-datareader) (2.24.0)\n",
      "Collecting lxml\n",
      "  Downloading lxml-4.6.3-cp37-cp37m-manylinux2014_x86_64.whl (6.3 MB)\n",
      "\u001b[K     |████████████████████████████████| 6.3 MB 2.1 MB/s eta 0:00:01\n",
      "\u001b[?25hRequirement already satisfied, skipping upgrade: pandas>=0.19.2 in /usr/local/lib/python3.7/site-packages (from finance-datareader) (1.1.4)\n",
      "Requirement already satisfied, skipping upgrade: six in /usr/local/lib/python3.7/site-packages (from requests-file->finance-datareader) (1.15.0)\n",
      "Requirement already satisfied, skipping upgrade: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.7/site-packages (from requests>=2.3.0->finance-datareader) (1.25.11)\n",
      "Requirement already satisfied, skipping upgrade: idna<3,>=2.5 in /usr/local/lib/python3.7/site-packages (from requests>=2.3.0->finance-datareader) (2.10)\n",
      "Requirement already satisfied, skipping upgrade: chardet<4,>=3.0.2 in /usr/local/lib/python3.7/site-packages (from requests>=2.3.0->finance-datareader) (3.0.4)\n",
      "Requirement already satisfied, skipping upgrade: certifi>=2017.4.17 in /usr/local/lib/python3.7/site-packages (from requests>=2.3.0->finance-datareader) (2020.6.20)\n",
      "Requirement already satisfied, skipping upgrade: pytz>=2017.2 in /usr/local/lib/python3.7/site-packages (from pandas>=0.19.2->finance-datareader) (2020.4)\n",
      "Requirement already satisfied, skipping upgrade: python-dateutil>=2.7.3 in /usr/local/lib/python3.7/site-packages (from pandas>=0.19.2->finance-datareader) (2.8.1)\n",
      "Requirement already satisfied, skipping upgrade: numpy>=1.15.4 in /usr/local/lib/python3.7/site-packages (from pandas>=0.19.2->finance-datareader) (1.19.4)\n",
      "Installing collected packages: requests-file, lxml, finance-datareader\n",
      "Successfully installed finance-datareader-0.9.31 lxml-4.6.3 requests-file-1.5.1\n",
      "\u001b[33mWARNING: You are using pip version 20.2.4; however, version 21.1.3 is available.\n",
      "You should consider upgrading via the '/usr/local/bin/python3.7 -m pip install --upgrade pip' command.\u001b[0m\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "pip install -U finance-datareader"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting bs4\n",
      "  Downloading bs4-0.0.1.tar.gz (1.1 kB)\n",
      "Collecting beautifulsoup4\n",
      "  Downloading beautifulsoup4-4.9.3-py3-none-any.whl (115 kB)\n",
      "\u001b[K     |████████████████████████████████| 115 kB 22.8 MB/s eta 0:00:01\n",
      "\u001b[?25hCollecting soupsieve>1.2; python_version >= \"3.0\"\n",
      "  Downloading soupsieve-2.2.1-py3-none-any.whl (33 kB)\n",
      "Building wheels for collected packages: bs4\n",
      "  Building wheel for bs4 (setup.py) ... \u001b[?25ldone\n",
      "\u001b[?25h  Created wheel for bs4: filename=bs4-0.0.1-py3-none-any.whl size=1273 sha256=8cc003296a972e9bee02c8046b2f0a42a1424fa4de04188577bf85a32805369d\n",
      "  Stored in directory: /root/.cache/pip/wheels/0a/9e/ba/20e5bbc1afef3a491f0b3bb74d508f99403aabe76eda2167ca\n",
      "Successfully built bs4\n",
      "Installing collected packages: soupsieve, beautifulsoup4, bs4\n",
      "Successfully installed beautifulsoup4-4.9.3 bs4-0.0.1 soupsieve-2.2.1\n",
      "\u001b[33mWARNING: You are using pip version 20.2.4; however, version 21.1.3 is available.\n",
      "You should consider upgrading via the '/usr/local/bin/python3.7 -m pip install --upgrade pip' command.\u001b[0m\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "pip install bs4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "7123\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Symbol</th>\n",
       "      <th>Market</th>\n",
       "      <th>Name</th>\n",
       "      <th>Sector</th>\n",
       "      <th>Industry</th>\n",
       "      <th>ListingDate</th>\n",
       "      <th>SettleMonth</th>\n",
       "      <th>Representative</th>\n",
       "      <th>HomePage</th>\n",
       "      <th>Region</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>060310</td>\n",
       "      <td>KOSDAQ</td>\n",
       "      <td>3S</td>\n",
       "      <td>특수 목적용 기계 제조업</td>\n",
       "      <td>반도체 웨이퍼 캐리어</td>\n",
       "      <td>2002-04-23</td>\n",
       "      <td>03월</td>\n",
       "      <td>박종익, 김세완 (각자 대표이사)</td>\n",
       "      <td>http://www.3sref.com</td>\n",
       "      <td>서울특별시</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>095570</td>\n",
       "      <td>KOSPI</td>\n",
       "      <td>AJ네트웍스</td>\n",
       "      <td>산업용 기계 및 장비 임대업</td>\n",
       "      <td>렌탈(파렛트, OA장비, 건설장비)</td>\n",
       "      <td>2015-08-21</td>\n",
       "      <td>12월</td>\n",
       "      <td>박대현</td>\n",
       "      <td>http://www.ajnet.co.kr</td>\n",
       "      <td>서울특별시</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>006840</td>\n",
       "      <td>KOSPI</td>\n",
       "      <td>AK홀딩스</td>\n",
       "      <td>기타 금융업</td>\n",
       "      <td>지주사업</td>\n",
       "      <td>1999-08-11</td>\n",
       "      <td>12월</td>\n",
       "      <td>채형석, 이석주(각자 대표이사)</td>\n",
       "      <td>http://www.aekyunggroup.co.kr</td>\n",
       "      <td>서울특별시</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>054620</td>\n",
       "      <td>KOSDAQ</td>\n",
       "      <td>APS홀딩스</td>\n",
       "      <td>기타 금융업</td>\n",
       "      <td>인터넷 트래픽 솔루션</td>\n",
       "      <td>2001-12-04</td>\n",
       "      <td>12월</td>\n",
       "      <td>정기로</td>\n",
       "      <td>http://www.apsholdings.co.kr</td>\n",
       "      <td>경기도</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>265520</td>\n",
       "      <td>KOSDAQ</td>\n",
       "      <td>AP시스템</td>\n",
       "      <td>특수 목적용 기계 제조업</td>\n",
       "      <td>디스플레이 제조 장비</td>\n",
       "      <td>2017-04-07</td>\n",
       "      <td>12월</td>\n",
       "      <td>김영주</td>\n",
       "      <td>http://www.apsystems.co.kr</td>\n",
       "      <td>경기도</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Symbol  Market    Name           Sector             Industry ListingDate  \\\n",
       "0  060310  KOSDAQ      3S    특수 목적용 기계 제조업          반도체 웨이퍼 캐리어  2002-04-23   \n",
       "1  095570   KOSPI  AJ네트웍스  산업용 기계 및 장비 임대업  렌탈(파렛트, OA장비, 건설장비)  2015-08-21   \n",
       "2  006840   KOSPI   AK홀딩스           기타 금융업                 지주사업  1999-08-11   \n",
       "3  054620  KOSDAQ  APS홀딩스           기타 금융업          인터넷 트래픽 솔루션  2001-12-04   \n",
       "4  265520  KOSDAQ   AP시스템    특수 목적용 기계 제조업          디스플레이 제조 장비  2017-04-07   \n",
       "\n",
       "  SettleMonth      Representative                       HomePage Region  \n",
       "0         03월  박종익, 김세완 (각자 대표이사)           http://www.3sref.com  서울특별시  \n",
       "1         12월                 박대현         http://www.ajnet.co.kr  서울특별시  \n",
       "2         12월   채형석, 이석주(각자 대표이사)  http://www.aekyunggroup.co.kr  서울특별시  \n",
       "3         12월                 정기로   http://www.apsholdings.co.kr    경기도  \n",
       "4         12월                 김영주     http://www.apsystems.co.kr    경기도  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import FinanceDataReader as fdr\n",
    "df_krx = fdr.StockListing('KRX')\n",
    "print(len(df_krx))\n",
    "df_krx.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "505\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Symbol</th>\n",
       "      <th>Name</th>\n",
       "      <th>Sector</th>\n",
       "      <th>Industry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>MMM</td>\n",
       "      <td>3M</td>\n",
       "      <td>Industrials</td>\n",
       "      <td>Industrial Conglomerates</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ABT</td>\n",
       "      <td>Abbott Laboratories</td>\n",
       "      <td>Health Care</td>\n",
       "      <td>Health Care Equipment</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ABBV</td>\n",
       "      <td>AbbVie</td>\n",
       "      <td>Health Care</td>\n",
       "      <td>Pharmaceuticals</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ABMD</td>\n",
       "      <td>Abiomed</td>\n",
       "      <td>Health Care</td>\n",
       "      <td>Health Care Equipment</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ACN</td>\n",
       "      <td>Accenture</td>\n",
       "      <td>Information Technology</td>\n",
       "      <td>IT Consulting &amp; Other Services</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Symbol                 Name                  Sector  \\\n",
       "0    MMM                   3M             Industrials   \n",
       "1    ABT  Abbott Laboratories             Health Care   \n",
       "2   ABBV               AbbVie             Health Care   \n",
       "3   ABMD              Abiomed             Health Care   \n",
       "4    ACN            Accenture  Information Technology   \n",
       "\n",
       "                         Industry  \n",
       "0        Industrial Conglomerates  \n",
       "1           Health Care Equipment  \n",
       "2                 Pharmaceuticals  \n",
       "3           Health Care Equipment  \n",
       "4  IT Consulting & Other Services  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_spx = fdr.StockListing('S&P500')\n",
    "df_spx.head()\n",
    "print(len(df_spx))\n",
    "df_spx.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Date'>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df = fdr.DataReader('001250', '2018')\n",
    "df.head(10)\n",
    "df['Close'].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Date'>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df = fdr.DataReader('QQQ', '2018')\n",
    "df.head(10)\n",
    "df['Close'].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "exchange_map = {\n",
    "    'KRX':'SEOUL', '한국 거래소':'Seoul',\n",
    "    'NASDAQ':'NASDAQ', '나스닥':'NASDAQ',\n",
    "    'NYSE':'NYSE', '뉴욕증권거래소':'NYSE',\n",
    "    'AMEX':'AMEX', '미국증권거래소':'AMEX',\n",
    "    'SSE':'Shanghai', '상해':'Shanghai', '상하이':'Shanghai',\n",
    "    'SZSE':'Shenzhen', '심천':'Shenzhen',\n",
    "    'HKEX':'Hong Kong', '홍콩':'Hong Kong',\n",
    "    'TSE':'Tokyo', '도쿄':'Tokyo',\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "jp_df1 = fdr.DataReader(symbol = '7751', start = '2019-01-01', exchange='TSE')\n",
    "jp_df2 = fdr.DataReader(symbol = '7751', start = '2019-01-01', exchange='도쿄')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Date'>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "jp_df2['Close'].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "ch_df1 = fdr.DataReader(symbol = '601186', start = '2019-01-01', exchange='SSE')\n",
    "ch_df2 = fdr.DataReader(symbol = '601186', start = '2019-01-01', exchange='상해')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Date'>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ch_df1['Close'].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}