06.Python資料分析應用-股票分析入門.ipynb

{
  "cells": [
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "本單元將嘗試抓取股票資訊來分析股票，取出歷史收盤資料畫出圖表、取得收益率(投資風險會使用到)、每天的波動。"
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "## 06-1.用 Python pandas_datareader 抓台灣股價\n\n- [pandas-datareader文件](https://pandas-datareader.readthedocs.io/en/latest/index.html)"
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "回傳的格式規格\n\n- Open     :開盤價\n- High     :最高價\n- Low      :最低價\n- Close    :收盤價\n- Volume   :交易量\n- Adj Close:經過調整的收盤價"
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "### 06-1-1.基本使用"
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "!pip install pandas_datareader ",
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "text": "Collecting pandas_datareader\n\u001b[?25l  Downloading https://files.pythonhosted.org/packages/cc/5c/ea5b6dcfd0f55c5fb1e37fb45335ec01cceca199b8a79339137f5ed269e0/pandas_datareader-0.7.0-py2.py3-none-any.whl (111kB)\n\u001b[K    100% |████████████████████████████████| 112kB 3.2MB/s ta 0:00:01\n\u001b[?25hRequirement already satisfied: wrapt in /home/nbuser/anaconda3_501/lib/python3.6/site-packages (from pandas_datareader) (1.10.11)\nRequirement already satisfied: requests>=2.3.0 in /home/nbuser/anaconda3_501/lib/python3.6/site-packages (from pandas_datareader) (2.21.0)\nRequirement already satisfied: lxml in /home/nbuser/anaconda3_501/lib/python3.6/site-packages (from pandas_datareader) (4.2.5)\nRequirement already satisfied: pandas>=0.19.2 in /home/nbuser/anaconda3_501/lib/python3.6/site-packages (from pandas_datareader) (0.22.0)\nRequirement already satisfied: chardet<3.1.0,>=3.0.2 in /home/nbuser/anaconda3_501/lib/python3.6/site-packages (from requests>=2.3.0->pandas_datareader) (3.0.4)\nRequirement already satisfied: certifi>=2017.4.17 in /home/nbuser/anaconda3_501/lib/python3.6/site-packages (from requests>=2.3.0->pandas_datareader) (2018.10.15)\nRequirement already satisfied: urllib3<1.25,>=1.21.1 in /home/nbuser/anaconda3_501/lib/python3.6/site-packages (from requests>=2.3.0->pandas_datareader) (1.23)\nRequirement already satisfied: idna<2.9,>=2.5 in /home/nbuser/anaconda3_501/lib/python3.6/site-packages (from requests>=2.3.0->pandas_datareader) (2.7)\nRequirement already satisfied: python-dateutil>=2 in /home/nbuser/anaconda3_501/lib/python3.6/site-packages (from pandas>=0.19.2->pandas_datareader) (2.7.5)\nRequirement already satisfied: pytz>=2011k in /home/nbuser/anaconda3_501/lib/python3.6/site-packages (from pandas>=0.19.2->pandas_datareader) (2018.7)\nRequirement already satisfied: numpy>=1.9.0 in /home/nbuser/anaconda3_501/lib/python3.6/site-packages (from pandas>=0.19.2->pandas_datareader) (1.14.6)\nRequirement already satisfied: six>=1.5 in /home/nbuser/anaconda3_501/lib/python3.6/site-packages (from python-dateutil>=2->pandas>=0.19.2->pandas_datareader) (1.11.0)\nInstalling collected packages: pandas-datareader\nSuccessfully installed pandas-datareader-0.7.0\n",
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "import pandas as pd\nimport pandas_datareader.data as web\nimport datetime\n\n\n# 畫圖\nimport matplotlib.pyplot as plt\nimport seaborn as sns\n\n%matplotlib inline",
      "execution_count": 2,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "# 用 yahoo finance ，並有設定起訖日區間\nstart = datetime.datetime(2019, 1, 1)\nend = datetime.datetime(2019, 4, 17)\n\n# 台灣股市的話要用 股票代號 加上 .TW\ndf_2317 = web.DataReader('2317.TW', 'yahoo', start=start, end=end)\ndf_2330 = web.DataReader('2330.TW', 'yahoo', start=start, end=end)\ndf_0050 = web.DataReader('0050.TW', 'yahoo', start=start, end=end)",
      "execution_count": 3,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "fig = plt.figure()\ndf_2330['Adj Close'].plot(label=\"2330\")\ndf_2317['Adj Close'].plot(label=\"2317\")\ndf_0050['Adj Close'].plot(label=\"0050\")\nplt.legend()",
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 4,
          "data": {
            "text/plain": "<matplotlib.legend.Legend at 0x7f1ae22ce9b0>"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
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\n",
            "text/plain": "<Figure size 432x288 with 1 Axes>"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "#交易量\nfig = plt.figure()\ndf_2330['Volume'].plot(label=\"2330\")\ndf_2317['Volume'].plot(label=\"2317\")\ndf_0050['Volume'].plot(label=\"0050\")\n\nplt.legend()",
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 5,
          "data": {
            "text/plain": "<matplotlib.legend.Legend at 0x7f1ae239ddd8>"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": "<Figure size 432x288 with 1 Axes>"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "#每日波動\ndf_2330['High-Low'] = df_2330['High'] - df_2330['Low']\ndf_2317['High-Low'] = df_2317['High'] - df_2317['Low']\ndf_0050['High-Low'] = df_0050['High'] - df_0050['Low']\n\n\n\nfig = plt.figure()\ndf_2330['High-Low'].plot(label=\"2330\")\ndf_2317['High-Low'].plot(label=\"2317\")\ndf_0050['High-Low'].plot(label=\"0050\")\n\nplt.legend()",
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 6,
          "data": {
            "text/plain": "<matplotlib.legend.Legend at 0x7f1ae1f6af60>"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": "<Figure size 432x288 with 1 Axes>"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "### 06-1-2.比較多個股票"
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "# 也可以同時抓多檔股票，使用方式就是傳入一個list\nstart = datetime.datetime(2019, 1, 1)\ncampany=['2330.TW', '0050.TW', '2317.TW']\ndf_stock = web.DataReader(campany, 'yahoo', start=start)",
      "execution_count": 7,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "df_stock['Adj Close']['2317.TW'].tail()",
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 12,
          "data": {
            "text/plain": "Date\n2019-04-12    86.500000\n2019-04-15    89.300003\n2019-04-16    89.900002\n2019-04-17    91.800003\n2019-04-18    93.500000\nName: 2317.TW, dtype: float64"
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "adjClose = df_stock['Adj Close']\nadjClose.plot()",
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 13,
          "data": {
            "text/plain": "<matplotlib.axes._subplots.AxesSubplot at 0x7f1ae1babe80>"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": "<Figure size 432x288 with 1 Axes>"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "###  06-1-3.比較台積電(2330)和鴻海(2317)的收益率關係，使用閃點圖"
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "start = datetime.datetime(2017, 1, 1)\ncampany=['2330.TW','2317.TW']\ndf_stock = web.DataReader(campany, 'yahoo', start=start)",
      "execution_count": 14,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "plt.rcParams['axes.unicode_minus']=False\nadjClose_pct = adjClose.pct_change()\nsns.jointplot('2330.TW','2317.TW',adjClose_pct, kind=\"scatter\")",
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 15,
          "data": {
            "text/plain": "<seaborn.axisgrid.JointGrid at 0x7f1ae23b98d0>"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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PXuNas2l7X+8fRZ2lYZk1yCLiRyLi/RFxbUQcFBGXRsTdEfHJiHhxXZWUmuzME1bwJ7/wClYsW0oAK5Yt5U9+4RVDHTSx0Gtco6izNCy9uhY/DHwW2A/4e+BjwBuB1cAHqn9KE+/ME1bUGgKDuMZVd52lYek18vBfZeZ7M/NKYFlmXpWZ92fme4EfraF+kjrodi3La1yaRL2CrH3/R2fsW4SkkfAal/SsXl2Ln46IF2bmY5n5B9MbI+IowAkn0ohMdwm6MofUI8gy85KIeFlErAA2ZOZj1fatEfHBWmooqSOvcUktvUYt/ibwaeA3gX+IiPbBHX88zIpJktSPXl2L5wEnZuZjEXEEcGNEHJGZf86Me5VJkjQKvYJsUVt34rci4mdphdmPYpBJWiBX4Ncg9Bq1+J2IOH76RRVqPwccDLximBWTNN4WujqJNK1XkL0d+E77hszck5lvB35maLWSNPZcgV+D0mvU4rZZ9t06+OpIqtuouvdcgV+DspA7REtqsH4CapQ32HQF/tHpdgPOUm+46c0xpTHU7/WnUXbvuTqJBsUgk8ZQvwE1yu49V+DXoNi1KI2hfgNq1N17rk6iQbBFJo2hflfHn0v33ppN23ntlbdw5EWf5bVX3uIweTWGQSaNoX4Dqt/uPed8qclq61qMiFXAn9O6/csHq3ucte/fl9atYk4Evgu8pVpN5PXAlcA+wJPAhZl5S131lko0l9Xx++nem+2am12DGrVagiwiFgHXAq8HtgEbI2JtZt7TVuxc4OHMPCoizgauAt4CPAT8u8x8MCJeDqwH/C9HE6vfeV+DvP7knC81WV0tspOArZl5H0BE3ACsBtqDbDVwafX8RuB9ERGZuamtzGbg+RGxb2b+YPjVlpplVPO+5jMoxHUUVZe6rpGtAB5oe72N57aqnimTmXuAR4GDZpR5E7CpW4hFxHkRMRURUzt27BhIxaUmmcu8r0EOzpjrnC+vqdWj/Tfve4/sHHV1RqauIOu0Un7OpUxEHEeru/HXuh0kM6/LzJWZuXL58uXzqqjUZP128Q06SOY658t1FOvR/pv3omUHjro6I1NX1+I24LC214cCD3Ypsy0iFgP7AzsBIuJQ4FPA2zPzG8OvrtRM/XbxDWNwxlyuuXlNTXWqq0W2ETg6Io6MiH2As4G1M8qsBc6pnp8F3JKZGRHLgM8CF7tQsSZdv118ow6SfuexSYNQS5BV17wuoDXi8F7gk5m5OSIuj4gzqmLXAwdFxFbgd4GLqu0XAEcB/zUi7qweP1xHvaWm6beLb9RB0m/gOslag1DbPLLMXAesm7Htkrbn3wfe3OF97wbePfQKSoXop4vvwtOO2Wt0I9S7IG8/89hGufK+xotrLUpjaC4ToodZh9mO5yRrDYpBJo2ppi/IO+rreHquTvcpK+EeZQaZNGRODO5s1Cvva3y4aLDUZtCDD5wY3J031tSgGGRSZRih48Tg7ryxpgbFrkWpMozBB14Hml3Tr+OpDLbIpMowQmfU87mkSWCQSZVhhI7XgaThM8ikyjBCx+tArt6h4fMamVQZ1iTiSb4O5OodqoNBJrWZ5NAZBlfvUB0MMmnC9JqgPcgJ3I7aVB0MMo09V9Z4Vq+uvkF3Bbp6h+rgYA+NNVfW2FuvCdqDnsDtqE3VwRaZxlrTr9EMurXY6/O6deltf2QXR170WbLL5863K7AJq/Br/BlkGmtNvkazkG68ToEF9Py8bl19QNcQm37ffDmARsNm16LGWpNX1phvN1637tLLPrO55+d16urrxa5ANZ0tMo21Ud8peTbzbS12C8CZ2zp93syuvtlaYQF2BarjPcqGaT73PzPINNaafI2mWzff/kuX8Norb5nzda7ZjtOuvavvtVfe0rEOK5Yt5daLXjen40ijYpBp7NVxjWY+gzY6tRaXPC94/Mk9PLJrNzC361zLli7hB3uenlPrs8ktVnDqhPpjkKlo3QY91PnjN99BG51ai088uYeHn9i9V7mZoyy7hc+lZxy31+cte8ESMuE/feJOrl6/peN5aHKL1eWt1K/InK2XvFwrV67MqampUVdDQzTzhw5gyaKAhN1PP/t3vXTJoqEu1DvI7rluQ+AD+OaVb3zmdT+rc3QKu5IWLLbb8xnRT6GX/Pgr890f/rth12XoZlwj6+u7O2pRxeo06GH3U7lXiMHw78g8yCH+/Y6yPPOEFdx60eu45i3HA61WV/vK8uNwZ+omT51Qs9i1qGLN5QdtUD9+nVpCg1yGaS7XrGbrehuHEHB5K/XLFpmKNZcftEH8+HWbv/VvX7Z8YMswzeX+ZbO1upo8f65fLm+lftkiU7E6jvrrco1sED9+3YLj77+2gz/5hVcMbMBEv6MsZ2t1XfOW43u27Jo+IrDJA1HULAaZitXth67TtkH8+M0WHKNYhmm2rrdeIVDKiECXt1I/DDIVrdsP3TB+/Jp2zabX9bTZQqDpiylLc2GQqXhz6SJbSHfaoCcPL/QGl/PteluzaXvXhYOHOSjGgNSwGGQq2ly6yBbanTbIazaDusHlXLvepj+3m0EOiml6t6XGh6MWVbS5zJcaxNyq6flb37zyjdx60evm/cNc9w0uZzvutGEPiilpDpvKUmuQRcSqiNgSEVsj4qIO+/eNiE9U+zdExBFt+y6utm+JiNPqrLeaay7zpfopu2bTdl575S0cedFn95pgPGi96jLoeWDT36tblyIwsFU/xmEOm8pSW5BFxCLgWuB04FjgrRFx7Ixi5wIPZ+ZRwDXAVdV7jwXOBo4DVgF/UX2eJtxc5kv1KtttntgwwqxXXQY5D6z9e3Wzom2k40KNwxw2laXOFtlJwNbMvC8znwRuAFbPKLMa+Ej1/EbglIiIavsNmfmDzPwmsLX6PE24uUya7VV2WF1inVp5veoyyMnAs3UnLuRzu3Eis+pW52CPFcADba+3ASd3K5OZeyLiUeCgavuXZ7z3Of/7GBHnAecBHH743G/OpnoNYmTbXAZg9Crbb9fjXOq8ZtN2LrzxLnY/1Zqgvf2RXVx4411cfdZPzDqJ+swTVjD1Tzv5mw0P8FQmiyJ404nzm1M1W5feiiGMKGzaROZxHkHZ/pt38I+U8Z3mc+PMXuoMsk6rGM9c6LtbmX7eS2ZeB1wHrdXv51pB1WeQI9vmMnJvtrK95onNp86XfWbzMyE2bfdTyWWf2cymS06ddZrATbdv56nq7hRPZXLT7dtZ+aMHzvn8dPtew1xFvikTmcd9BGX7b95LfvyVE/ubV2fX4jbgsLbXhwIPdisTEYuB/YGdfb5XBWniyLZhdD3OvLdYr+3TBnl+Jrmrr4l/Zxq8OoNsI3B0RBwZEfvQGryxdkaZtcA51fOzgFuydcO0tcDZ1ajGI4Gjga/UVG8NQRNHtvVasLfOOg/yWHNZiHjcNPHvTINXW9didc3rAmA9sAj4UGZujojLganMXAtcD/xVRGyl1RI7u3rv5oj4JHAPsAc4PzO7X71W4zVtuadpC+l67GTZ0iU8suu5ra9lS5fMWo9Bn5+mdPXVral/ZxqsWueRZea6zPyxzHxpZv5Rte2SKsTIzO9n5psz86jMPCkz72t77x9V7zsmMz9XZ701eIPq7qpr3hfMXudu9bj0jON43owrvM+L1vb5Hkv98zxOBpeo0kgMYmRb3RfyZ1ttv1s9ABZF8HTmXq/ne6xJbFUthOdxMkTmeA50WblyZU5NTY26GhqibitVDHM03lzrATSijipa7//zoTVq8d0f/rth12XB5jj8vq/vbotMxWrKhfz51MPBBtLguGiwitWUpZBmq0dT6iiNM4NMjTHXgRtNuZA/Wz2aUkdpnNm1qEaYz8CNplzI76ce86ljP0srjXr5pVEfXwIHe6ghmjJwoylmBju0WnLtE5n7KTPqOmogHOzRg12LaoRh3X+rjvllw9DP0kqjXn5p1MeXptm1qEYY5AoMTVwodq5dcN3uHda+fdSjNkd9fGmaLTI1wrDvvzXKlsJ8btjZbdJ0+/ZRj4gc9fGlabbI1AiDHLjRtJbCbMHa7fs91eXadfv2C087puM1qrpGRI76+BqtYdxXbL4MMjXGIBa2XbNpe+vycIccGFVLYT7BumKWe4hNG/WozVEfX5pmkGlsrNm0nQv/9i46NWaWLIqRtRTmc/2v39bOqFe1H/XxJfAamcbI1eu3sPvpzl1y++2zeGQ/uPO5/jfJ9xCT5soWmcbGbF11j3a4J1hd5tsFZ2tH6o9BprHRrQtvet8w9RpebyhJw2OQjakmLh007DpdeNoxXPi3dz2ne3HY18eaOG9NmiReIxtD85m3NA51OvOEFVz95p9g2dIlz2w74AVLuPqsnxhqoDRt3po0aWyRjaH5zFsalzqNoguvafPWpEljkI2hJv6wDmMtxaZ0nQ5yeS1Jc2fX4hhq4tJBg6xT07pOveeYNFoG2Rhq4g/rOK+leOYJK3jTiSueWQdxUQRvOtFRilJdDLIx1MTJtIOsU9O6Ttds2s5Nt29/Zh3EpzK56fbtxd06RiqV18jGVBPnLQ2qTk27JtXEwTXSJLFFpuI0reu0aS1EadLYItPQDGtkYdNWXW9aC1GaNAaZhmLYq100qevU+3KpFE26h9gg2bWooWjayMJhauLgGmmS2CJriCZN8B2ESbtu1KQWojRpbJE1QNMm+A5CEydlSxpPtQRZtLwnIrZGxFcj4lVdyp0YEXdX5d4T0ZphGhFXR8TXqvd+KiKW1VHvuoxjN1zTRhZKGl91tchOB46uHucB7+9S7v3V/umyq6rtXwRenpmvBL4OXDzU2tZsHLvhvG4kqS51XSNbDXw0MxP4ckQsi4gXZ+a3pwtExIuBH8rM26rXHwXOBD6XmV9o+6wvA2fVVO9ajOvwba8bSapDXS2yFcADba+3VdtmltnWowzArwCf63SQiDgvIqYiYmrHjh0LqG697IaTNB/tv3nfe2TnqKszMnUFWXTYlnMtExHvAvYAH+t0kMy8LjNXZubK5cuXz6uio2A3nKT5aP/Ne9GyA0ddnZEZWtdiRJwP/Gr1ciNwWNvuQ4EHZ7xlW7W9Y5mIOAf4OeCUqotyrNgNJ0nzM7QWWWZem5nHZ+bxwBrg7dXoxVcDj7ZfH6vKfxv4XkS8uhqt+Hbg0wARsQr4feCMzHxiWHWWJJWnrq7FdcB9wFbgvwO/Mb0jIu5sK/frwAerct/g2Wth7wNeBHwxIu6MiA/UUWlJUvPVMmqx6go8v8u+49ueTwEv71DmqOHVTpJUMlf2kCQVzbUWx9i4rd8oSZ0YZGNq2LdRkaSmsGtxTI3j+o2S1IktsjE1jus3SuruwP32GdsbZ/Zii2xMeRsVSZPCIBtTrt8oaVLYtTimpgd0OGpR0rgzyMaY6zdKmgR2LUqSimaQSZKKZpBJkopmkEmSimaQSZKKZpBJkopmkEmSimaQSZKKZpBJkopmkEmSimaQSZKKZpBJkopmkEmSimaQSZKKZpBJkopmkEmSimaQSZKKZpBJkopmkEmSimaQSZKKZpBJkopmkEmSilZLkEXLeyJia0R8NSJe1aXciRFxd1XuPRERM/a/MyIyIg6uo96SpOarq0V2OnB09TgPeH+Xcu+v9k+XXTW9IyIOA14P3D/UmkqSilJXkK0GPpotXwaWRcSL2wtUr38oM2/LzAQ+CpzZVuQa4PeArKnOkqQC1BVkK4AH2l5vq7bNLLOtU5mIOAPYnpl3zXaQiDgvIqYiYmrHjh0Lr7UkNZi/eS11BVl02DazZdWxTES8AHgXcEmvg2TmdZm5MjNXLl++fB7VlKRy+JvXMrQgi4jzI+LOiLgTeBA4rG33odW2dtuq7TPLvBQ4ErgrIr5Vbb8jIn5kWHWXJJUjWpejhnyQiDcCFwBvAE4G3pOZJ3UotxH4TWADsA54b2aum1HmW8DKzHyoxzF3AP80kC/Qv4OBWes1ASb9HEz69wfPAQz2HDyUmat6FYqIz/dTbhwtruk462iF2FbgCeCXp3dExJ2ZeXz18teBDwNLgc9Vj3nJzNrb2RExlZkr6z5uk0z6OZj07w+eAxjNOZjUEIOagqwahXh+l33Htz2fAl7e47OOGGjlJElFc2UPSVLRDLLBum7UFWiAST8Hk/43hAYVAAAFtUlEQVT9wXMAnoNa1TLYQ5KkYbFFJkkqmkEmSSqaQdYHV+9f+DmIiKsj4mvVez8VEcvq/QYLFxGrImJL9d0u6rB/34j4RLV/Q0Qc0bbv4mr7log4rc56D9J8z0FEvD4ibq/+Nm6PiNfVXfdBWcjfQbX/8Ih4LCLeWVedx15m+ujxoDUH7nO0ltF6NbChS7mvAD9VlfsccHrbvsOA9bQmaR886u9U9zkATgUWV8+vAq4a9Xea4/dfBHwDeAmwD3AXcOyMMr8BfKB6fjbwier5sVX5fWmtUvMNYNGov1PN5+AE4JDq+ctprZ068u9U5zlo238T8LfAO0f9fcblYYusP67ev8BzkJlfyMw9VdEvs/dyZCU4Cdiamfdl5pPADbTOSbvVwEeq5zcCp1Qt0tXADZn5g8z8Jq2FAZ6zsk0B5n0OMnNTZk4vS7cZeH5E7FtLrQdrIX8HRMSZwH20zoEGxCDrTy2r9zfcgs7BDL/CAlZtGZF+v/8DAFVoPwoc1Od7S7CQc9DuTcCmzPzBkOo5TPM+BxGxH/D7wGU11HOi1LVEVekGsXr/qQOvVb3mfQ72KhDxLmAP8LEB1asuC/n+/by3BAv+G4iI42h1LZf638NCzsFlwDWZ+diMy+daIIOsi4g4H/jV6uVGBrN6//T2OyLipMz8zhCqPjADPAfTn3cO8HPAKVXXY0m20d/3PwzYFhGLgf2BnX2+twQLOQdExKHAp4C3Z+Y3hl/doVjIOTgZOCsi/hRYBjwdEd/PzPcNv9pjbtQX6Up4AG9k74EOX+lSbmO1f3qgwxs6lPkWZQ72WNA5AFYB9wDLR/1d5vn9F9O6tnEkz17kP25GmfPZ+yL/J6vnx7H3YI/7KHOwx0LOwbKq/JtG/T1GdQ5mlLkUB3sM7t/LqCtQwqP6Ub6W1milu2ndRmZ6351tz1cC/1CVex/VyikzPqvUIFvQOaA1wOEB4M7q8YFRf6d5nIM3AF+vvtu7qm2XA2dUz59PazTaVlqjN1/S9t53Ve/bQtto1tIe8z0HwB8Aj7f9+78T+OFRf5+6/w7aPsMgG+DDJaokSUVz1KIkqWgGmSSpaAaZJKloBpkkqWgGmSSpaAaZJkJEHBYRfx8R90bE5oj47Wr7FdWK/HdGxBci4pBq++q27VMR8dNtn3VORPxj9Tinw7Gurd53T0Tsqp7fGRF/GBF3tpV7a0Q8ERFLqteviIivDv9sSOPF4feaCNWCxi/OzDsi4kXA7bQWNN6Wmf9SlfktWiuZvyMiXgg8npkZEa+kNan1ZRFxIDBFa75cVp9zYmY+3OGYRwB/l5kvr14/D/gucHhmfi8i3gu8FnhHZn4lIn4NOD4zf32Y50IaN7bINBEy89uZeUf1/HvAvcCK6RCr7Ee1bl5mPpbP/l/eM9uB04AvZubOKry+SGvVkn7q8DStlU9OrjadSGuS+Wuq168BvjSPrydNNINME6dqKZ0AbKhe/1FEPAD8InBJW7mfj4ivAZ+ltWI/LHwl+y8Br6lWQn8a+J/sHWS3zu3bSDLINFGqLsObgN+Zbo1l5rsy8zBaK/JfMF02Mz+VmS+j1QV5xfRHdPjYufTP30orsE4CNmZr8dyjImI58MLMvG+u30madAaZJkY1qOIm4GOZeXOHIh+nda+svWTm/wZeGhEHs/CV7L8M/CTw08Bt1bZttBaXtVtRmgeDTBOhukPv9cC9mflnbduPbit2BvC1avtRbXf1fRWtlc6/C6wHTo2IAyLiAFr31Vrfbz2q63MPAL/Es0F2G/A7GGTSvHg/Mk2K1wL/Abi7bQj8fwHOjYhjaF2v+ifgHdW+NwFvj4jdwC7gLdXgj50RcQWtQRsAl2fm9P22PkhrVf+pHnW5FVidmdPX2m4D/hiDTJoXh99Lkopm16IkqWgGmSSpaAaZJKloBpkkqWgGmSSpaAaZJKloBpkkqWj/Hzx5thglSre6AAAAAElFTkSuQmCC\n",
            "text/plain": "<Figure size 432x432 with 3 Axes>"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "其中x軸是第一個參數，y軸是第二個參數，這張圖表傳達的訊息\n\n- 當x和y的座標都小於0，代表那天1和2都是跌，大於0則漲\n- 當x和y的值越相近時，則閃點圖會越趨向一直線。代表兩個股票越正相關"
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "###  06-1-4.比較台積電(2330)和鴻海(2317)的收益率關係，使用線性回歸\n"
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "sns.regplot('2330.TW','2317.TW',adjClose_pct)",
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 16,
          "data": {
            "text/plain": "<matplotlib.axes._subplots.AxesSubplot at 0x7f1ae1be26a0>"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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b5b1FJF43XL6NT+7Zz/B4jrZ0kpFsvqor8lqft5BjJbPVvxQHtcdzwXTZsWyhIVsRtajU8qgLM0sCtwHvAPqAvWa2x91LdyO8Djju7uea2U7gZoI91PuBX3H3w2b2euAeYGMccYtIbVf0tVak1/q8hZz1VKo4RXYsW/+6inrL5gv0DgzT0z9Ez7EhevqHeK5/qOrnx5I8gO3AQXfvATCz3cAOpm5luwP4VPjz3cCtZmbu/uOSY/YDGTNrdfex+Q9bZGmbyxV9rRXptTyvXrOeoiTKXL4QJIoGb1W4O/2D4zx7bJBDYaI41D/ECwPD5Aq1xxtX8thIsLhiUR/wxpmOcfecmZ0A1hK0PIp+FfixEodIPOZyRR/nGEQ9diOcLVG+9bWdU4rvxhq0VTEyng8SRP/gRGui59gQg2PlNoMNLGtNsa2zg651Hbz2jOV88OYZD50iruRRblrv9JQ36zFmdiFBV9aVM76J2fUEtSls2bIlepQiMkWtV/Rxj0HUOlZSqjRRFtxpTSXJFXJ8/nvPcPa6jnmt1o4qX3BePD5CT/8Qh0oSxZETozM+J5kwzl7TTte6IFFs6+zgnM5lrFvWgllw+s2kk3ywyhjiSh59wOaS25uAwzMc02dmKWAlMABgZpuAbwIfcPdnZ3oTd78DuAOgu7u7cf6lRZpUrVf0cY9BzGXV30IhWAPquVeGWJFJMZbLT1y2tiSNwydGFjRxDAyNh91NgxMtiecHhk9b1LDUumUtbFvXwbbOZROtii1r2kknK1VnVC+u5LEXOM/MuoAXgZ3A+6cdswe4FngAuAa4193dzFYB/wB8POoMLxGZm1qv6OOsvC6qZqykuFjgeH5ywcDiSfiM5RleGRqbUmcymi1w5oq2GV/v4Z4Bdu/t5cjJETasaGPnZZvZvm1NTfGPZfM8PzDMs8cmWxOH+oc4Ppyd8TmZdIJt6zroWhckiW1hq2LFtN/9fIgleYRjGDcRzJRKAl9y9/1mtgvY5+57gDuBr5rZQYIWx87w6TcB5wJ/bGZ/HN53pbsfjSN2kaWs1iv6eoxBzNXEqrK5ySSRzfuMrYidl23mlnufYSSbJ5NOhLOlnJ2XbS57/MM9A9xy7zOkEsaKTIpXhsa45d5n+DDnzZpACu68dGJ0YvD62f5BDh0b4sVXR5hp/DphsHFVG11hgtgWJoszV2ZI2MIs9mGN1I9XT93d3b5v376FDkNkSSod8yhtsey6+sJ5GzTPhrOfioPa4zWsKltsSbx0coQzK7QkPnLXT05rqYxk86ztaOWz7/t5AE6NZie6mopdT4f6h09b0qTU6vb0xJhEMUmcvaad1gh7bdQqk06ycXX7I+7eXenYuLqtRKQOmmXF2Th2Hszmg0Qxks0zOl6f2U/bt62putvpyMkRVmSCU6i7M54PusOeOXqKj33jcQ4dG+LY4MwTQ1tSCbaubQ8TxbKJLqc1HS1z/hxxUPIQqVHcJ/JmW3G2njsP5gs+UUtR7IbKz6FGoVbFmome/kESGC++OkouHySOUg8fGphye8PKTJAcSloTG1e1kYyy72uDUfIQqcFCnMgbpYo6DvPRqohqeDw3MS5R2vU0W82EAWevbefnN6/inHCWU9e6jiljP4vF4vtEIjFYiBP5QsxgikO+4JNrPy1AAV5pzURPySynSjUTW9a0szKT4uWTY4xmc2xY2c6/edMW3njO2thiX0hKHiI1WIgTeSPMYJqr6d1P47l4E0UtNROdy1onZzmF3zfXuWZiIZkZqYSRCic3VEvJQ6QGC3Eir0cVddwWaqvUWmom2tJJuta1s61zGUkz9h8+yYnRcTaubOP/uXhjzfUbCy2ZMJIJI51MBN8TCZLJMGEkjFSNSVDJQ6QGC3Eij2MG01zk8qXFd/G0KqbXTPSErYpqaiZKZzids76DM1YENROl9Rur2tJV128shGKrIRm2HIqJIZ0IE0XSJpYeqTclD5EaLNSJvJ4zmOZiIRJFrTUT02c5VaqZ2L23l1RisguneHGwe29v7MmjtEsplUiQTgYthbm2GupByUOWpHpMs22UE/l8yRecbD7Y6S6Xd7KFoEI7m6vP0uMzLe2RzRd4YWD4tNZE/+D4jK/Vkkpw9pr2iTGJbZ3Laq6ZKK3fKMqkE7x0ciTya82mNDEkE0FySCYmWxLFbqZGpeQhS06z1UvMt9L1nrLh9/FcYV7rKB7uGeC/f+9pzCBpcOiVQT719/tZ2Zamf3B81vdOhd0xyYRx9UVnceWFZ7Jxdf1qJjasaIu8xtV008cZUgkjUZIYiomimSl5yJKzFOolyrWs/sVrOskVwlZEvrg1an320K60QGCxZuJQ/xDPHhvinw68zHA2z/QGzGh2siLbgPaWJBdtWknvwAjj+TwrWtMkwpPuSDbPgSOn+J06jzNVs8bVTN1J6XC8IdHkiaEaSh6y5CzWegkIWhHfO/Ayn/r7A6QSRkdLkhdfHebj33ycD7+t9gHf2ZJD6QDz8tYkL50c4TP3PMkbNq9iLFeouM8EQEsyQWvKyOWdTEuSTDpJR0uCsZzz3CvDjIzn6FzeipVs+zMfXUkQLFHyYc5j975eXj4xwlmr2vmtN2/lred3ki6ONyySabpzoeQhS85iqJcAJsYjxrKTXU3ZfIFbv/8sRnBCdodMKol77QO+M60ee91YFyvb03z+3mc4MZKdKPYrNibuferYaa/VuayVbZ0dHOofIpcvsDyToiWZwMwYyeYZGBpnWWuqZLCaiZlso9nCnLqSZpJKJEingi6mdDJBSzLBNd2b2PlGbSg3GyUPWXKaqV7C3cmFmxWN5yYTRK4w89LilQZ8o+5B8dcPvUCh4IwXnFOjOcZzBUZzef7Tt56Y8TlmwdjElRecGQxihwPZyzPpiRhuufeZYDqtBQkiV3BaUgky6alX9Zl0gpZUglzBq14ufbqEhVNZw5ZDOhUkiZbk0uhimg9KHrLkNFq9RHHa6/efOMqXfvgcL54YnjipX9YVvaUw24DvbHtQdHet5siJUQ4dC5fpCGc79R2fuWsoYZBOJkiY0d6SpDUVnujzBdYty/AfrnxN2edNdA1NW/58997esrGfvaZj4vHpy6WbGUkrjj8EXUrJkkH1RhmDaJYVkaul/TxkUZjtD7MR/mjdPZz6GqzAWkwYxVlNpSf10ivrWsYpZnut4sm5JZmYWJ12eDyPExTcjWZnHjxPmk0kB7OgC+qWnRfzk94TZd/vqgvO4Me9JyLtsjdT7B/5V6/hLa9ZF3Qt1alCOk4Lsb9Jrcysqv08lDyk6c32hwnE8kdbKIRJoeDkwu/5QtDllM97xQK6ajYWimKia+rEMKvaWrl4y0rMjG/8+EUKYVwzmb7PxHi2wN/99DCtYZdSucQ2fROlSzav5DsHXq46GSZscmrrwz2v8NUHn+fwiRE2rW7nxsu38S9fd0bk30Ej+fU7HjxtnG14PMf65Rn+z/VvWsDITldt8lC3lTS92abeAnWblusetBxyxWK5cMA6m5s9OVQzxjDXwrTiPhPPHhucKK47MZqlfyjLy6fGeeroqbLPS4fTTVdk0tx4xTl0rSu/z8R565exe28vzw8MMZ4rkE4au/f2ApMbKJV+po/c9ZPTqrRHc3m+9kgvb7/gjCmV0tOL4a6+ZCNXX7Kxqs/dLBbjDD8lD2l6s/1hOkT+oy1NCkFVdeUEMZNq97mOUpg2vWaimCxm22dieSZF17oOOlpSHDhygtZUkuWtScbzXlX3WPGxW+59hmWtKTLpRNnPUpy59PKpUVa1pYP9tYP/aEklOHZqjM7lrVF/jU1vsczwK6XkIU2v0h9mucc2rmpjNJufqKrOhdNMZ5vFVItq10kqV5iWzRd422s7ue+po/T0D4UD2bPXTKTCfSYm9sAO13Rat6xlYoG8KPt0z/hZLGjFjebyfP3RPt7zho1TWhBb13aU7aaZ6WTZCONS86mZZvhVS8lDmt5Mf5i/85Yu8gVn1z8cIF/I0ppKTDz2nos3cvjV+heYTVdtd9S5ZyzjXa8/k2//7CV6j49gGNl8gc9+75kZX3v6PhNd6zrYUsU+E1H26TYzWsJprUeLrYnE5Eqt6aTx0slRMtMWGoxyslwKy8U02gy/etCAuTStYg1ELu/c+8TL/K8fPcezR0+RLTjpZGJieidQ9ZV21BqISqYPhBc8qJVoSSXY3rVmosvp1ZHq9pnoWnd6zUStpn/W33jjFi5/bVBFXUwYLanJRBR10LfYmpjpZFl8/NEXjmMGZyzPsCLsYox7MHmxt3yi0GwrJY9Fo9wYRC7sqy/9/3eu013rOV22uM/EPT97iW8+dph8IXitbH7mv7eEwabV7VMSRNe6Ds5cGewzUa1KCTCVSLDvuQH+23efDicTJBnN5skVmHUWWj2nm5a+1vOvDJEww4GzVraxoi2Nu3NiJMs/f/RtkV63Fs00jTYODTnbysyuAm4BksAX3f0z0x5vBb4CXAq8ArzP3Z8LH/s4cB2QBz7k7vfEGLrMs9Llv6fMZMpXPwYx130Yan3+yZFs0IKY2GsiKLCbrWaiuM9EaWui0j4T1ShNgCszaY4Pj/GF7x/kDzPn87bXnUFLKhiX+OjXf0omnZhoRXS0JirOQqtn10vpDLnWVJJcwTGH/sExVrSlYx1MXgoLZc6H2JKHmSWB24B3AH3AXjPb4+4HSg67Djju7uea2U7gZuB9ZnYBsBO4EDgL+Ccze427z7wLjDSUYnIorXvIFe/Le132h5jrdNdKz8/mC/QODE8kiR+/cJye/qFZWxPFmolt65bR1dnBOeHGRKvbo+8zMROzoJq6JZXg64/2kUkn6GhJYWa0ppMMj+f43w+9wLt//qyJ59Q6dbTWPUymdws9/fJJNqwMZpJ1Lm/l8KujgDOed4bHc7EOJi/GabRxiLPlsR046O49AGa2G9gBlCaPHcCnwp/vBm61YGRuB7Db3ceAQ2Z2MHy9B2KKXSooFIIupWIV9cQGQhXWYaqnue7DUHx+JlxHaSxXYGg8RwLjd768j+cHhmfdZyKZMF57xnLecPaqiV3rytVM1GoiSYRjERML+ZWMSxw5GQxql249Wu5EGOfU0XID4oNjefoHx+hcnmF5Js1Zq+ClE6M4sH55JtYxh8U4jTYOcSaPjUBvye0+4I0zHePuOTM7AawN739w2nMXVxVRgytWTZfuKpcPB6vzhcoth3oPRJdTzT4M0w2NTdZMZNIJXj45Srbgp+0zcbxkQHt5JkWh4Fg4XbU1laA1mWAsX6AlmeC3f7Frzp+9dNC6uIhfOml84XvP8MUfHGJoPE9HS5LfeUsXH/pXk+tHVXsiLM6G6h8c5cRwlrF8gVQiwY6S1km9lOsWWtORZmAoS0e4gm4yYaxfkVmQcYbFNI02zoH/OJNHucuv6WecmY6p5rmY2fXA9QBbtmg55SimJ4dcwSc2Dppry6HaQrm5mmmxve3b1pAvOC8eH5my4N+hKvaZOHNFhgvPWkHXug7OWT9ZM/H+Lz7Eikxq6v4SidO7yCp99mTCJloRLRVWev38Pz3NLfceJGGQSgRJ4ZZ7DwJMJJBqT4RXnL+ea/pe5bb7niVfcDKpJMszKe5+9EUu2rSqriecct1Caztayead9cszCz51dbFMo417ynOcyaMPKL0E3AQcnuGYPjNLASuBgSqfi7vfAdwBwWyrukXe5PJhIiiutZTLl9yuQ3KoZK4D2VFs37aGc89YRk+4TMf3nz7KnT88xHOvzD42sX55K13h7KZzwpqJzbPUTFTbRTbx2VuSGEZHa4LRbJ5v/PhFruneFGlRvy/+4FCYOILnJAxyhQJf/MGhieQR5UT4QM8Am1a3nTb1tt4DxTO1hs5bv7xh1nVaDPvRxz3wH2fy2AucZ2ZdwIsEA+Dvn3bMHuBagrGMa4B73d3NbA/w12b2WYIB8/OAh2OLvMFNX3Mplw8Sw3gdB6PnYq4D2TMZy+Z5fmA4XKJjkJ5j1ddMnBPOcuqqsWZiti6yYmuiJZng6ODkMh3FcYhUwjhyYiTyarBD43lS056SsOD+UtWeCOMaKF5M3UKNLO6B/9iSRziGcRNwD8FU3S+5+34z2wXsc/c9wJ3AV8MB8QGCBEN43NcIBtdzwAdOoqmDAAARpklEQVSX0kyr0uRQruVQjz2o59NcB7IL7hP7TBzqH+LZ/kEOHRvixVdHmGn82oDNa6bWTGzr7OCMFdFqJmZS7CK7a18vL58c5axVbfzbt3Tx9gvOmJIUzl5z+jIdMw3GVuqv7mhJMjSewz3Y+9ss+Opoqe3POK6B4sXSLdTo4h74V5FgA5iyhHdJYshWuZx3o4tSfFesmXg23JCoOJg9W83EstYU4/kCLclgz24wzOD33/6aunWLlS7T0ZoOv6cSU2Y1lVNtAVo1x/373Y/yzceOnPYe7714A5/b+YbIn0nFcYtLvf49G7JIcCkqXUKjOACdjXG8oRGUG8i+5tKNrF3ewncPvBwu0REMZPcPjs/4Oi2pBGevaQ8X/Fs2UYH9n/7+ibJ7YdQ6ppIIE0Vx46Ni0qiUKMqp9qq7mv7ql06Os6otxcnRHAUPuqxWZFK8dHLm31k9YpPmEPe/p5LHHJUmh2yhQD78nstPJoylzN05dmqMAk731tX09LdwqH+IP/m7A7PWTGxYmSlZ8G/2mom5jKkkzCZbEunkaes51UM1YxDV9Ff3hieE0iTm7nPq014MA8UyKc5/TyWPCsqON+QLi6ZLqZ6K+0z0HBuaMh220j4TxRbEts5lnNPZwda1HbS1VL9MR7VjKqnEZJdTsUVRaQXauFTTX61iNmkkSz55TK+MLs5UyhYmf5apaqmZKO4zMbHgX2cHJ4dzfOvxI7x0chTDeFPXWl63YUXkeMrNfMoXnGvffDZrOlrCLqhk3Sq950M1M5LmY9ZS1KKyZl19tlnjbmSLfsC8OBhdXFNpMlEE35UcZjcwND5RM1FMFNXWTEzOclrGptVtU67y67mCbTqZ4JHnjvNXDwX7Xm9e3c6Nbz2n6U4OlZYwr/aYKO8XZYC1WQfYmzXuhbLkB8zHcwV6jg0udBhNYzSb5/lXhicGros711WumeiY0pqotmai1sLBZMJoTSXJpIPWRGsqqMbevKad97xh9hVrGv3qs5r+6uLjxc9R3Ke9ls9x83ee5OjJUfLutCQTdC5vJZ20GYvKmnX12WaNu9Et2uSh9kR5xZqJntLCuv4hXjw+MuPvLGGwcVVbMMNpDvtMlKpmkLu4EGAmHSSJTDpZ8xjFYtmtrl6f474nj/L00UGSFiTkXME5/OooG1a2zjgA36yrzzZr3I1u0SYPmVozEXQ7DVasmZivfSamKzfIPZYrsHFVO2s6WsiEM5/KrfFUi8Vy9Vmvz1F8HS+AhXUxBZyXT45xyZbVZZ/TrAP2zRp3o1PyWASy+QIvDAxPDFxXWzPRtbbjtG6neu4zMZud2zfz+e89w1i+QHs6yVguDxi/97ZzWVXHGO578iif+fYTPPly0IWZSSU4c2WwDHgzXn3W6yq69/gwZyxv5fCJUSgEleruTs5nHoBv1mVGmjXuRqfk0USKNROlM5x6+od4ocI+ExtWZqYMXnetq+8+E9VIWND9VByreN9lmzlzRWZeC5rue/Iof3D3T3h1OIsRdGWO5gr0HR9h0+qgu6bZrj7rdRVdfJ2zVrbRPzjGeL5AMmFsW9MRy06CcWrWuBudkkeDKt1noraaiWD58K3r2qecaOKSTgZjFK3pBJlUsmzh3XwXNN1+fw+DYzmSZlgCsmGCzRWC/cXXr8g03dVnva6ii6+TThpd6zomXudj73zdrM9r1qLCZo27kSl5LLB8IagQnljPKUwSL52sUDOxtj1oSUzMcgr2mahlCY25SiYmB7VLZ0AttN7jQYssaRYuY14g707Bg1ZIo03VrGY2WL2uonU1LnOl5BETd+f4cHZiPKKYLJ6vUDPRuaw1XKKjun0m5lulGVCNNB128+p2+gfHgkFhg1QyQcIdAy7ZsrqhTpRRZlHV6ypaV+MyF0oe86CWmgkDWlMJkgkjmTB2XraFd190ZuR9JuqtuKRHJhV0Qc22kmyjTYe94fJtE2MeHnZZFTyYUdZo3VWLZTaYLB1KHnNQus9E6VIdh2fZZyJhsGn15D4T9z15jNFsjmWtqYmT8kg2z8OHBti5fea9t+eDmYVdT8Eiga0R136K+wRYqZVzxfnr+a/X/Dyf+fYTHHolmI10XmcHH73q/IY7IasWQZqNkkeVaq6ZCJcOL3Y9Ta+Z+NbjR07fC7sOu+xVI0qrohpxngCrbeU0S9eMahGk2Sh5TFOsmZi6OuxgxZqJrWvb2bZuGV2dHZwToWZirrvsRVGcAZVJz61aeyZxngAXWzfPDZdv4z/e/RNePD5CrlAglUiwPJPij999wUKHJlLWkk0e02smikmi9/hI1ftM1KNmYra9sOcqnUzQ1pKkLZ0kk57/VWXjLMZajN08DmBB9yGmJXaksS2J5DGlZiJMFNXUTHStmyys27auY15qJsrtsrfzss2RV5YtbmpUnCobR7KYLs7pn4utm+f2+3tY2ZZmw8rJFmczt6Rk8Vu0yaN/cIw/+puf0XOs+pqJ0uK6OGsmtm9bU9My5K1h91OxviJuMw1Yx3GyW2xLTizGlpQsbos2eQwMjfOjZ1+Zcl9xn4lizcS2zmVsXt1GqkF2k5tN6XhFWzq54DEv9LTcxVbktthaUrL4LdrkkUkn+ZWLNgTJIsI+E42iJVVMFsGYRaPtgtcIA9bNMpOqGoutJSWL36JNHlvWtPPv3/GaSM95uGeA3Xt7OXJyhA01jj3UqjWdJFOSMBotWUynbpb6WmwtKVn8YkkeFgwe3AK8CxgGftPdHy1z3KXAXwJtwLeAD7u7m9mfA78CjAPPAr/l7q/WM8bSbVFXZFK8MjTGLfc+w4eJvi1qJcVivIlps6lkQ6wFFYW6WepvMbWkZPGLq+P8ncB54df1wF/McNxfhI8Xj70qvP+7wOvd/SLgaeDj9Q6wdFtUI/ieShi79/bO+bXTyQTLMinWLmvlrFVtbF3bzlmr2ljT0UJ7S6rpEgcE3SzZvDM8nsM9+K5uFpGlI65uqx3AV9zdgQfNbJWZbXD3I8UDzGwDsMLdHwhvfwV4D/Btd//Hktd6ELim3gFWsy1qNdLJxOTqsulEXXfDayTqZhFZ2uJKHhuB0kv4vvC+I9OO6StzzHS/DdxV7k3M7HqClgtnbYpWZFdrpXezjVXUk7pZRJauuLqtyp1RpxfQVjzGzD4B5IC/Kvcm7n6Hu3e7e/eatesiBbjzss3kCs5INo8TfJ9e6W1mtKaTrGxLc+bKDFvXBtXla5e10tGaWlKJQ0SWtnlreZjZB4F/G97cC5Q2BTYBh6c9pS+8v+wxZnYt8MvA28Pur7oqV+n9/u2bufy162lL12fhQBGRxWLekoe73wbcBmBm7wZuMrPdwBuBE6XjHeHxR8zslJm9CXgI+ADwhfD5VwEfBd7q7vM2F/QXzl3Lv3zdejKpJJmWhanaFhFpBnGNeXyLYJruQYKpur9VfMDMHnP3i8Ob/47JqbrfDr8AbgVage+GV/4PuvuNcw2qmn22RUTkdLEkj7Cb6YMzPHZxyc/7gNeXOebcucZgZrSkEuEKs0GropHGKBpp+1YRkUoWbYU5MGV5j9ZU406ZXeh1okREolq0/TStqcREIV5bS2NXcJeuE2UWfE8njdvv71no0EREylq0yaOZ9B4fnlJfAlonSkQam5JHA9i8up2RbH7KfVonSkQamZJHA9A6USLSbJQ8GsAV569n19UXsn55hhMjWdYvz7Dr6gs1WC4iDWtRz7ZqJlonSkSaiVoeIiISmZKHiIhEpuQhIiKRKXmIiEhkSh4iIhKZzcPWGA3BzI4Bzy90HNOsA/oXOogaKO54NWPczRgzKO5yznb3zkoHLdrk0YjMbJ+7dy90HFEp7ng1Y9zNGDMo7rlQt5WIiESm5CEiIpEpecTrjoUOoEaKO17NGHczxgyKu2Ya8xARkcjU8hARkciUPOrEAp83s4Nm9lMze8MMx11qZo+Hx33ezCy8/9Ph8x4zs380s7OaJO4/N7Mnw+d+08xWNUHMv2Zm+82sYGaxzVgxs6vM7Kkwno+VebzVzO4KH3/IzLaWPPbx8P6nzOyX4op5LnGb2Voz+76ZDZrZrXHGPMe432Fmj4T/7zxiZm9rgpi3h+eOx8zsJ2b23nkP1t31VYcv4F3AtwED3gQ8NMNxDwO/EB73beCd4f0rSo75EPA/myTuK4FU+PPNwM1NEPPrgNcC9wHdMf2ek8CzwDagBfgJcMG0Y363+O8O7ATuCn++IDy+FegKXyfZBHF3AG8BbgRujSPeOsV9CXBW+PPrgRebIOb2kr/DDcDR4u35+lLLo352AF/xwIPAKjPbUHpAeHuFuz/gwb/yV4D3ALj7yZJDO4C4BqPmGvc/unsuPPRBYFMTxPyEuz8VQ5yltgMH3b3H3ceB3QSfo9QO4Mvhz3cDbw9bSzuA3e4+5u6HgIPh6zV03O4+5O4/AEZjirXUXOL+sbsfDu/fD2TMrLXBYx4u+TvMEMP5Q8mjfjYCvSW3+8L7ph/TN9MxZvafzawX+A3gk/MU53RzjrvEbxNc4c+3esYcl2pj7gUITwQngLVVPne+zCXuhVSvuH8V+LG7j81TnGXjCUWK2czeaGb7gceBG0uSybxQ8qgfK3Pf9Ow/6zHu/gl33wz8FXBTHWObzZzjBjCzTwA5gtjnW11ijtlcYl7Iz9KMv2uoQ9xmdiFBV+wNdYxrNnOK2d0fcvcLgcuAj5tZps7xTaHkMQdm9sHiIBVwGNhc8vCm8L5SfUzt1il3DMBfE1zxzIt6x21m1wK/DPxG2EXU8DEvgD6qi3kzgJmlgJXAQJXPnS9ziXshzSluM9sEfBP4gLs/O+/RTosnVNPv2t2fAIYIxmvmTxwDQUvhC3g3UwdxH57huL3h48VB3HeF959XcszvAXc3SdxXAQeAzmb5XZc8fh/xDZingB6CAe/iYOiF0475IFMHQ78W/nwhUwfMe4hvwLzmuEse/03iHzCfy+97VXj8rzZRzF1MDpifTZB01s1rvHH+chbzV3iCuo1gtsTjpScl4LGSn7uBn4XH3cpkoebXw/t/CvwdsLFJ4j5I0Af7WPg177PE6hDzewmu4MaAl4F7Yvpdvwt4OoznE+F9u4Crw58zwP8X/k4fBraVPPcT4fOeIpw1FuP/23OJ+zmCK+PB8Hd+QaPHDfwRwZX7YyVf6xs85n9DMLj/GPAo8J75jlUV5iIiEpnGPEREJDIlDxERiUzJQ0REIlPyEBGRyJQ8REQkMiUPkVmY2eZwZdgnwpV4PxzeX3YVZDPbUXL/PjN7S8lrXWtmz4Rf15Z5r9vC5x0ws5GSVVL/JCyOLB7362Y2bGbp8PbPmdlP5/+3ITJJU3VFZhEusLjB3R81s+XAIwQLLPZ5uJilmX2IoH7hRjNbBgy5u5vZRQRFXOeb2RpgH0HtiYevc6m7Hy/znluBv3f314e3E8ArwBZ3P2VmXwB+kWD9oofN7AbgYnf/d/P5uxAppZaHyCzc/Yi7Pxr+fAp4gqCAs+wqyO4+6JNXZKWrI/8S8F13HwgTxncJqvOriaFAUC3/xvCuSwmKJN8c3n4z8KMaPp5IzZQ8RKoUtgguAR4Kb5ddBdnM3mtmTwL/QLDSMMx9ZdwfAW82sw6gQLC0Smny+GG0TyMyN0oeIlUIu6O+Dvx+sdXhM6yC7O7fdPfzCbq3Pl18iTIvG6XP+IcESWI7sNeDxfrONbNOYJm790T9TCJzoeQhUkE4MP114K/c/RtlDim7CrK73w+cY2brmPvKuA8SLLX9FuCB8L4+gsXx1GUlsVPyEJlFuJPfncAT7v7ZkvvPKznsauDJ8P5zw+dgwd7qLQSD3fcAV5rZajNbTbB97z3VxhGOt/QSrFBbTB4PAL+PkocsgNRCByDS4H6RYMXSx0umy/4hcJ2ZvZZg/OF5gn26IWiBfMDMssAI8L5wAH3AzD5NMPANsMvdi3tHfJFgNeJ9FWL5IbDD3YtjJw8Af4aShywATdUVEZHI1G0lIiKRKXmIiEhkSh4iIhKZkoeIiESm5CEiIpEpeYiISGRKHiIiEpmSh4iIRPb/AxlZmV0zP3x5AAAAAElFTkSuQmCC\n",
            "text/plain": "<Figure size 432x288 with 1 Axes>"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "###  06-1-5.比較多家收益率關係"
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "start = datetime.datetime(2019, 1, 1)\ncampany=['2330.TW', '0050.TW', '2317.TW', '3008.TW']\ndf_stock = web.DataReader(campany, 'yahoo', start=start)",
      "execution_count": 17,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "adjClose = df_stock['Adj Close']\nplt.rcParams['axes.unicode_minus']=False\nadjClose_pct = adjClose.pct_change()",
      "execution_count": 18,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "sns.pairplot(adjClose_pct.dropna())",
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 19,
          "data": {
            "text/plain": "<seaborn.axisgrid.PairGrid at 0x7f1aea52eef0>"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": "<Figure size 720x720 with 20 Axes>"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "## 06-2.用 Python twstock 抓台灣股價"
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "!pip install twstock",
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "stream",
          "text": "Collecting twstock\n\u001b[?25l  Downloading https://files.pythonhosted.org/packages/a2/82/5c37e9cf30322845a3a39e05d01f8300adcec27a32095865637b486beacd/twstock-1.2.1-py3-none-any.whl (1.9MB)\n\u001b[K    100% |████████████████████████████████| 1.9MB 537kB/s ta 0:00:011\n\u001b[?25hRequirement already satisfied: requests in /home/nbuser/anaconda3_501/lib/python3.6/site-packages (from twstock) (2.21.0)\nRequirement already satisfied: chardet<3.1.0,>=3.0.2 in /home/nbuser/anaconda3_501/lib/python3.6/site-packages (from requests->twstock) (3.0.4)\nRequirement already satisfied: idna<2.9,>=2.5 in /home/nbuser/anaconda3_501/lib/python3.6/site-packages (from requests->twstock) (2.7)\nRequirement already satisfied: certifi>=2017.4.17 in /home/nbuser/anaconda3_501/lib/python3.6/site-packages (from requests->twstock) (2018.10.15)\nRequirement already satisfied: urllib3<1.25,>=1.21.1 in /home/nbuser/anaconda3_501/lib/python3.6/site-packages (from requests->twstock) (1.23)\nInstalling collected packages: twstock\nSuccessfully installed twstock-1.2.1\n",
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "import twstock\ntwstock.codes",
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 21,
          "data": {
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CFI='RWSCCA'),\n '700967': StockCodeInfo(type='上櫃認購(售)權證', code='700967', name='穩懋元大86購01', ISIN='TW18Z7009673', start='2018/11/14', market='上櫃', group='', CFI='RWSCCA'),\n '700968': StockCodeInfo(type='上櫃認購(售)權證', code='700968', name='穩懋元大86購02', ISIN='TW18Z7009681', start='2018/11/14', market='上櫃', group='', CFI='RWSCCA'),\n '700969': StockCodeInfo(type='上櫃認購(售)權證', code='700969', name='穩懋元大86購03', ISIN='TW18Z7009699', start='2018/11/14', market='上櫃', group='', CFI='RWSCCA'),\n '700970': StockCodeInfo(type='上櫃認購(售)權證', code='700970', name='穩懋元大87購01', ISIN='TW18Z7009707', start='2018/11/14', market='上櫃', group='', CFI='RWSCCA'),\n '700971': StockCodeInfo(type='上櫃認購(售)權證', code='700971', name='穩懋元富85購01', ISIN='TW18Z7009715', start='2018/11/14', market='上櫃', group='', CFI='RWSCCA'),\n '700972': StockCodeInfo(type='上櫃認購(售)權證', code='700972', name='穩懋元富85購02', ISIN='TW18Z7009723', start='2018/11/14', market='上櫃', group='', CFI='RWSCCA'),\n '700973': StockCodeInfo(type='上櫃認購(售)權證', code='700973', name='穩懋元富85購03', ISIN='TW18Z7009731', start='2018/11/14', market='上櫃', group='', CFI='RWSCCA'),\n '700974': StockCodeInfo(type='上櫃認購(售)權證', code='700974', name='穩懋中信85購01', ISIN='TW18Z7009749', start='2018/11/14', market='上櫃', group='', CFI='RWSCCE'),\n '700975': StockCodeInfo(type='上櫃認購(售)權證', code='700975', name='穩懋中信85購02', ISIN='TW18Z7009756', start='2018/11/14', market='上櫃', group='', CFI='RWSCCE'),\n '700976': StockCodeInfo(type='上櫃認購(售)權證', code='700976', name='穩懋中信87購01', ISIN='TW18Z7009764', start='2018/11/14', market='上櫃', group='', CFI='RWSCCE'),\n '700977': StockCodeInfo(type='上櫃認購(售)權證', code='700977', name='宜鼎兆豐86購01', ISIN='TW18Z7009772', start='2018/11/14', market='上櫃', group='', CFI='RWSCCA'),\n '700978': StockCodeInfo(type='上櫃認購(售)權證', code='700978', name='新普兆豐85購01', ISIN='TW18Z7009780', start='2018/11/14', market='上櫃', group='', CFI='RWSCCA'),\n '700979': StockCodeInfo(type='上櫃認購(售)權證', code='700979', name='由田凱基85購01', ISIN='TW18Z7009798', start='2018/11/14', market='上櫃', group='', CFI='RWSCCA'),\n '700980': StockCodeInfo(type='上櫃認購(售)權證', code='700980', name='穩懋凱基85購01', ISIN='TW18Z7009806', start='2018/11/15', market='上櫃', group='', CFI='RWSCCA'),\n '700981': StockCodeInfo(type='上櫃認購(售)權證', code='700981', name='穩懋凱基85購02', ISIN='TW18Z7009814', start='2018/11/15', market='上櫃', group='', CFI='RWSCCA'),\n '700982': StockCodeInfo(type='上櫃認購(售)權證', code='700982', name='穩懋凱基85購03', ISIN='TW18Z7009822', start='2018/11/14', market='上櫃', group='', CFI='RWSCCA'),\n '700983': StockCodeInfo(type='上櫃認購(售)權證', code='700983', name='穩懋凱基85購04', ISIN='TW18Z7009830', start='2018/11/15', market='上櫃', group='', CFI='RWSCCA'),\n '700984': StockCodeInfo(type='上櫃認購(售)權證', code='700984', name='穩懋凱基85購05', ISIN='TW18Z7009848', start='2018/11/14', market='上櫃', group='', CFI='RWSCCA'),\n '700985': StockCodeInfo(type='上櫃認購(售)權證', code='700985', name='穩懋凱基85購06', ISIN='TW18Z7009855', start='2018/11/15', market='上櫃', group='', CFI='RWSCCA'),\n '700986': StockCodeInfo(type='上櫃認購(售)權證', code='700986', name='穩懋凱基86購01', ISIN='TW18Z7009863', start='2018/11/14', market='上櫃', group='', CFI='RWSCCA'),\n '700987': StockCodeInfo(type='上櫃認購(售)權證', code='700987', name='穩懋凱基86購02', ISIN='TW18Z7009871', start='2018/11/15', market='上櫃', group='', CFI='RWSCCA'),\n '700988': StockCodeInfo(type='上櫃認購(售)權證', code='700988', name='穩懋凱基86購03', ISIN='TW18Z7009889', start='2018/11/14', market='上櫃', group='', CFI='RWSCCA'),\n '700989': StockCodeInfo(type='上櫃認購(售)權證', code='700989', name='穩懋凱基86購04', ISIN='TW18Z7009897', start='2018/11/15', market='上櫃', group='', CFI='RWSCCA'),\n '700990': StockCodeInfo(type='上櫃認購(售)權證', code='700990', name='穩懋凱基86購05', ISIN='TW18Z7009905', start='2018/11/15', market='上櫃', group='', CFI='RWSCCA'),\n '700991': StockCodeInfo(type='上櫃認購(售)權證', code='700991', name='穩懋凱基87購01', ISIN='TW18Z7009913', start='2018/11/15', market='上櫃', group='', CFI='RWSCCA'),\n '700992': StockCodeInfo(type='上櫃認購(售)權證', code='700992', name='穩懋凱基87購02', ISIN='TW18Z7009921', start='2018/11/15', market='上櫃', group='', CFI='RWSCCA'),\n '700993': StockCodeInfo(type='上櫃認購(售)權證', code='700993', name='穩懋凱基87購03', ISIN='TW18Z7009939', start='2018/11/14', market='上櫃', group='', CFI='RWSCCA'),\n '700994': StockCodeInfo(type='上櫃認購(售)權證', code='700994', name='穩懋凱基87購04', ISIN='TW18Z7009947', start='2018/11/15', market='上櫃', group='', CFI='RWSCCA'),\n '700995': StockCodeInfo(type='上櫃認購(售)權證', code='700995', name='穩懋凱基87購05', ISIN='TW18Z7009954', start='2018/11/15', market='上櫃', group='', CFI='RWSCCA'),\n ...}"
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "twstock.codes['2317']",
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 23,
          "data": {
            "text/plain": "StockCodeInfo(type='股票', code='2317', name='鴻海', ISIN='TW0002317005', start='1991/06/18', market='上市', group='其他電子業', CFI='ESVUFR')"
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "###  twstock.Stock()\n- 之後實現要抓取的股票的歷史資料(抓取最近31天的資料)，假設要抓雷科(6207)"
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "# 抓取歷史資料\nstock_0050 = twstock.Stock('0050')",
      "execution_count": 24,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "stock_0050.price[-5:]       # 近五日之收盤價\n# stock_0050.high[-5:]        # 近五日之盤中高點\n# stock_0050.low[-5:]         # 近五日之盤中低點\n# stock_0050.date[-5:]        # 近五日的日期",
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 25,
          "data": {
            "text/plain": "[81.15, 81.1, 81.85, 82.1, 82.75]"
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "### twstock.fetch()\n- 如果要抓取超過31天的資料可以使用fetch()"
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "stock_6207_2017_10 = stock_6207.fetch(2018,2)      # 獲取 2018 年 2 月之股票資料",
      "execution_count": null,
      "outputs": []
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "當然還可以使用取得從過去到現在的股價，下面示範從2018年01月到現在的資料，並且用開盤價和收盤價畫成圖表"
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "import matplotlib.pyplot as plt\nimport pandas as pd\n\n\nstock_6207_2018 = stock_6207.fetch_from(2018,1)     # 獲取 2018 年 01 月至今日之股票資料\nstock_6207_2018_pd = pd.DataFrame(stock_6207_2018)\nstock_6207_2018_pd = stock_6207_2018_pd.set_index('date')\n\n\nfig = plt.figure(figsize=(10, 6))\nplt.plot(stock_6207_2018_pd.close, '-' , label=\"Close\")\nplt.plot(stock_6207_2018_pd.open, '-' , label=\"Open\")\nplt.title('(6207)2018 Open/Close',loc='right')\n# loc->title的位置\nplt.xlabel('Date')\nplt.ylabel('Close')\nplt.grid(True, axis='y')\nplt.legend()\nfig.savefig('day20_01.png')",
      "execution_count": null,
      "outputs": []
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "### realtime()\n- 這個套件不只可以抓取歷史資料也可以抓取即時資料。\n- 只會抓出一筆"
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "stock_0050_real = twstock.realtime.get('0050')\nstock_0050_real",
      "execution_count": null,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true,
        "scrolled": true
      },
      "cell_type": "code",
      "source": "# 抓取多個股票的方式 \ntwstock.realtime.get(['2330', '2337', '2409'])",
      "execution_count": null,
      "outputs": []
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "## 06-3.繪製K線圖 \n\n- K線圖：根據股價一天走勢的 4 個價位：開盤價、收盤價、最高價、最低價繪製而成。開盤價與收盤價，會構成 K 線的實體（Body），最高價、最低價分別成為上影線（Shadow）及下影線。如果收盤價高於開盤價，Body 為紅色；收盤價低於開盤價，Body 為黑色或是綠色。\n\n- Ta-lib：python套件，專門用來計算金融技術指標。\n    - 可惜在Azure notebook無法順利安裝，採用其他替代方案進行教學。\n\n"
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "#安裝相關套件\n!pip install pandas_datareader\n!pip install mpl_finance\n!pip install fix_yahoo_finance\n",
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "stream",
          "text": "Requirement already satisfied: pandas_datareader in /home/nbuser/anaconda3_501/lib/python3.6/site-packages (0.7.0)\nRequirement already satisfied: pandas>=0.19.2 in /home/nbuser/anaconda3_501/lib/python3.6/site-packages (from pandas_datareader) (0.22.0)\nRequirement already satisfied: wrapt in /home/nbuser/anaconda3_501/lib/python3.6/site-packages (from pandas_datareader) (1.10.11)\nRequirement already satisfied: requests>=2.3.0 in /home/nbuser/anaconda3_501/lib/python3.6/site-packages (from pandas_datareader) (2.21.0)\nRequirement already satisfied: lxml in /home/nbuser/anaconda3_501/lib/python3.6/site-packages (from pandas_datareader) (4.2.5)\nRequirement already satisfied: python-dateutil>=2 in /home/nbuser/anaconda3_501/lib/python3.6/site-packages (from pandas>=0.19.2->pandas_datareader) (2.7.5)\nRequirement already satisfied: pytz>=2011k in /home/nbuser/anaconda3_501/lib/python3.6/site-packages (from pandas>=0.19.2->pandas_datareader) (2018.7)\nRequirement already satisfied: numpy>=1.9.0 in /home/nbuser/anaconda3_501/lib/python3.6/site-packages (from pandas>=0.19.2->pandas_datareader) (1.14.6)\nRequirement already satisfied: urllib3<1.25,>=1.21.1 in /home/nbuser/anaconda3_501/lib/python3.6/site-packages (from requests>=2.3.0->pandas_datareader) (1.23)\nRequirement already satisfied: idna<2.9,>=2.5 in /home/nbuser/anaconda3_501/lib/python3.6/site-packages (from requests>=2.3.0->pandas_datareader) (2.7)\nRequirement already satisfied: certifi>=2017.4.17 in /home/nbuser/anaconda3_501/lib/python3.6/site-packages (from requests>=2.3.0->pandas_datareader) (2018.10.15)\nRequirement already satisfied: chardet<3.1.0,>=3.0.2 in /home/nbuser/anaconda3_501/lib/python3.6/site-packages (from requests>=2.3.0->pandas_datareader) (3.0.4)\nRequirement already satisfied: six>=1.5 in /home/nbuser/anaconda3_501/lib/python3.6/site-packages (from python-dateutil>=2->pandas>=0.19.2->pandas_datareader) (1.11.0)\nCollecting mpl_finance\n  Downloading https://files.pythonhosted.org/packages/d3/83/92f0593ea39122075d115d2578034283bcc790f679cdbe61d0d3902c59f1/mpl_finance-0.10.0.tar.gz\nRequirement already satisfied: matplotlib in /home/nbuser/anaconda3_501/lib/python3.6/site-packages (from mpl_finance) (3.0.0)\nRequirement already satisfied: numpy>=1.10.0 in /home/nbuser/anaconda3_501/lib/python3.6/site-packages (from matplotlib->mpl_finance) (1.14.6)\nRequirement already satisfied: cycler>=0.10 in /home/nbuser/anaconda3_501/lib/python3.6/site-packages (from matplotlib->mpl_finance) (0.10.0)\nRequirement already satisfied: kiwisolver>=1.0.1 in /home/nbuser/anaconda3_501/lib/python3.6/site-packages (from matplotlib->mpl_finance) (1.0.1)\nRequirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /home/nbuser/anaconda3_501/lib/python3.6/site-packages (from matplotlib->mpl_finance) (2.3.0)\nRequirement already satisfied: python-dateutil>=2.1 in /home/nbuser/anaconda3_501/lib/python3.6/site-packages (from matplotlib->mpl_finance) (2.7.5)\nRequirement already satisfied: six in /home/nbuser/anaconda3_501/lib/python3.6/site-packages (from cycler>=0.10->matplotlib->mpl_finance) (1.11.0)\nRequirement already satisfied: setuptools in /home/nbuser/anaconda3_501/lib/python3.6/site-packages (from kiwisolver>=1.0.1->matplotlib->mpl_finance) (40.8.0)\nBuilding wheels for collected packages: mpl-finance\n  Building wheel for mpl-finance (setup.py) ... \u001b[?25ldone\n\u001b[?25h  Stored in directory: /home/nbuser/.cache/pip/wheels/67/db/24/04ddd06ec9a5e4500b44c13d8e95898f5b90b512303e385de8\nSuccessfully built mpl-finance\nInstalling collected packages: mpl-finance\nSuccessfully installed mpl-finance-0.10.0\nCollecting fix_yahoo_finance\n  Downloading https://files.pythonhosted.org/packages/4f/f0/19459eb2979c8e7a4c8bf80300670e9cae9baa0b0ea8a75553ccd1c92103/fix-yahoo-finance-0.1.26.tar.gz\nRequirement already satisfied: pandas in /home/nbuser/anaconda3_501/lib/python3.6/site-packages (from fix_yahoo_finance) (0.22.0)\nRequirement already satisfied: numpy in /home/nbuser/anaconda3_501/lib/python3.6/site-packages (from fix_yahoo_finance) (1.14.6)\nRequirement already satisfied: requests in /home/nbuser/anaconda3_501/lib/python3.6/site-packages (from fix_yahoo_finance) (2.21.0)\nRequirement already satisfied: python-dateutil>=2 in /home/nbuser/anaconda3_501/lib/python3.6/site-packages (from pandas->fix_yahoo_finance) (2.7.5)\nRequirement already satisfied: pytz>=2011k in /home/nbuser/anaconda3_501/lib/python3.6/site-packages (from pandas->fix_yahoo_finance) (2018.7)\nRequirement already satisfied: idna<2.9,>=2.5 in /home/nbuser/anaconda3_501/lib/python3.6/site-packages (from requests->fix_yahoo_finance) (2.7)\nRequirement already satisfied: chardet<3.1.0,>=3.0.2 in /home/nbuser/anaconda3_501/lib/python3.6/site-packages (from requests->fix_yahoo_finance) (3.0.4)\nRequirement already satisfied: urllib3<1.25,>=1.21.1 in /home/nbuser/anaconda3_501/lib/python3.6/site-packages (from requests->fix_yahoo_finance) (1.23)\nRequirement already satisfied: certifi>=2017.4.17 in /home/nbuser/anaconda3_501/lib/python3.6/site-packages (from requests->fix_yahoo_finance) (2018.10.15)\nRequirement already satisfied: six>=1.5 in /home/nbuser/anaconda3_501/lib/python3.6/site-packages (from python-dateutil>=2->pandas->fix_yahoo_finance) (1.11.0)\nBuilding wheels for collected packages: fix-yahoo-finance\n  Building wheel for fix-yahoo-finance (setup.py) ... \u001b[?25ldone\n\u001b[?25h  Stored in directory: /home/nbuser/.cache/pip/wheels/ff/54/13/c05f05a325555b5334975bb1b4bac7bf893e10ca3b0f65cb50\nSuccessfully built fix-yahoo-finance\nInstalling collected packages: fix-yahoo-finance\nSuccessfully installed fix-yahoo-finance-0.1.26\n",
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "%matplotlib inline\n%config InlineBackend.figure_format = 'svg'   #預設為PNG，放大會糊掉，使用此指令則改為向量圖svg，在瀏覽器放大檢視一樣清晰",
      "execution_count": 27,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true,
        "scrolled": true
      },
      "cell_type": "code",
      "source": "# Python 交易策略應用「KD」作為交易策略程式範例\nfrom pandas_datareader import data as web\nfrom mpl_finance import candlestick_ohlc\nfrom matplotlib import pyplot as plt\nfrom matplotlib import style\n\nimport matplotlib.dates as mdates\nimport fix_yahoo_finance as yf\nimport datetime as dt\nimport pandas as pd\nimport numpy as np\nimport time\n\nstyle.use('dark_background')\n\nyf.pdr_override()\n\nfig = plt.figure()\nax1 = fig.add_subplot(111)\n\nstock = \"0050\"\n\nAnalysis = 'stock0050TW.csv'\n\nstart = dt.datetime(2018, 1, 1)\nend = dt.datetime(2019, 4, 15)\n\ndf = web.DataReader(str(stock) + '.TW','yahoo', start, end)\ndf.to_csv(Analysis)\n\ntime.sleep(2)\n\ndata = pd.read_csv(Analysis, parse_dates=True, index_col='Date')\ndata.head()\n\nclose = data[\"Close\"]\n\ntop = plt.subplot2grid((12, 9), (0, 0), rowspan=9, colspan=9)\nbottom = plt.subplot2grid((12, 9), (10, 0), rowspan=2, colspan=9, sharex=top)\n\n\ndef bias(ma):\n    data['MA25'] = data['Close'].rolling(window=ma).mean()\n    data['BIAS'] = (data['Close'] - data['MA25']) / data['MA25'] * 100\n    return data['BIAS']\n\nbias = bias(25)\n\nmoving_avg = close.rolling(5).mean()\nmoving_avg20 = close.rolling(20).mean()\n\ndata = data.reset_index()\ndata['Date'] = data['Date'].apply(lambda d: mdates.date2num(d.to_pydatetime()))\ncandlestick = [tuple(x) for x in data[['Date', 'Open', 'High', 'Low', 'Close']].values]\ncandlestick_ohlc(top, candlestick, width=0.7, colorup='r', colordown='green', alpha=0.8)\n\ntop.plot(moving_avg, color='b', linewidth=1, alpha=0.7, label='MA5')\ntop.plot(moving_avg20, color='r', linewidth=1, alpha=0.7, label='MA20')\ntop.grid(which='both', alpha=0.3)\n\nbottom.plot(bias)\nbottom.axhline(0, color='r', alpha=0.3)\n\nplt.savefig('./data/stock_with_KD.pdf', bbox_inches='tight')  #輸出pdf\nplt.show()",
      "execution_count": 28,
      "outputs": [
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    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "markdown",
      "source": "### 動手做\n- 現在請您自行嘗試執行範例程式碼\n- 您可以置換股票代碼，畫出線圖"
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "### reference\n\n- [python 入門到分析股市](https://ithelp.ithome.com.tw/users/20111390/ironman/1791)"
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