test_yfinance.ipynb

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   "source": [
    "import plotly.graph_objects as go\n",
    "import matplotlib.pyplot as plt\n",
    "import yfinance as yf\n",
    "\n",
    "# auxiliary functions\n",
    "def plot_candlestick(times, open_prices, high_prices, low_prices, close_prices):\n",
    "    \"\"\"\n",
    "    Candlestick barplot (refer to https://plotly.com/python/candlestick-charts/ for documentation).\n",
    "    \"\"\"\n",
    "    fig = go.Figure(data=[go.Candlestick(\n",
    "        x=times,\n",
    "        open=open_prices,\n",
    "        high=high_prices,\n",
    "        low=low_prices,\n",
    "        close=close_prices)])\n",
    "\n",
    "    fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "[*********************100%***********************]  1 of 1 completed\n"
     ]
    }
   ],
   "source": [
    "data = yf.download(tickers='AAPL', period='1d', interval='5m')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
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     "data": {
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       "                                 Open        High         Low       Close  \\\n",
       "Datetime                                                                    \n",
       "2021-04-01 09:30:00-04:00  123.760002  123.860001  123.260002  123.393303   \n",
       "2021-04-01 09:35:00-04:00  123.389999  123.970001  123.269997  123.969200   \n",
       "2021-04-01 09:40:00-04:00  123.964996  124.180000  123.610001  123.690002   \n",
       "2021-04-01 09:45:00-04:00  123.694298  123.779999  123.379997  123.385002   \n",
       "2021-04-01 09:50:00-04:00  123.379997  123.589996  123.309998  123.491402   \n",
       "...                               ...         ...         ...         ...   \n",
       "2021-04-01 15:35:00-04:00  122.589996  122.618202  122.525002  122.589996   \n",
       "2021-04-01 15:40:00-04:00  122.580002  122.650002  122.500000  122.550003   \n",
       "2021-04-01 15:45:00-04:00  122.540001  122.720001  122.529999  122.700302   \n",
       "2021-04-01 15:50:00-04:00  122.709999  122.910004  122.709999  122.896797   \n",
       "2021-04-01 15:55:00-04:00  122.900002  123.000000  122.800003  123.000000   \n",
       "\n",
       "                            Adj Close   Volume  \n",
       "Datetime                                        \n",
       "2021-04-01 09:30:00-04:00  123.393303  4849980  \n",
       "2021-04-01 09:35:00-04:00  123.969200  2262418  \n",
       "2021-04-01 09:40:00-04:00  123.690002  2369381  \n",
       "2021-04-01 09:45:00-04:00  123.385002  1590467  \n",
       "2021-04-01 09:50:00-04:00  123.491402  1807131  \n",
       "...                               ...      ...  \n",
       "2021-04-01 15:35:00-04:00  122.589996   654682  \n",
       "2021-04-01 15:40:00-04:00  122.550003   862966  \n",
       "2021-04-01 15:45:00-04:00  122.700302   902903  \n",
       "2021-04-01 15:50:00-04:00  122.896797  1524458  \n",
       "2021-04-01 15:55:00-04:00  123.000000  3046885  \n",
       "\n",
       "[78 rows x 6 columns]"
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   ],
   "source": [
    "plot_candlestick(data.index, data['Open'], data['High'], data['Low'], data['Adj Close'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ]
}