CH3 - 바이앤홀드 전략.ipynb

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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>Volume</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1997-05-15</th>\n",
       "      <td>2.437500</td>\n",
       "      <td>2.500000</td>\n",
       "      <td>1.927083</td>\n",
       "      <td>1.958333</td>\n",
       "      <td>1.958333</td>\n",
       "      <td>72156000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1997-05-16</th>\n",
       "      <td>1.968750</td>\n",
       "      <td>1.979167</td>\n",
       "      <td>1.708333</td>\n",
       "      <td>1.729167</td>\n",
       "      <td>1.729167</td>\n",
       "      <td>14700000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1997-05-19</th>\n",
       "      <td>1.760417</td>\n",
       "      <td>1.770833</td>\n",
       "      <td>1.625000</td>\n",
       "      <td>1.708333</td>\n",
       "      <td>1.708333</td>\n",
       "      <td>6106800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1997-05-20</th>\n",
       "      <td>1.729167</td>\n",
       "      <td>1.750000</td>\n",
       "      <td>1.635417</td>\n",
       "      <td>1.635417</td>\n",
       "      <td>1.635417</td>\n",
       "      <td>5467200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1997-05-21</th>\n",
       "      <td>1.635417</td>\n",
       "      <td>1.645833</td>\n",
       "      <td>1.375000</td>\n",
       "      <td>1.427083</td>\n",
       "      <td>1.427083</td>\n",
       "      <td>18853200</td>\n",
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      "text/plain": [
       "                Open      High       Low     Close  Adj Close    Volume\n",
       "Date                                                                   \n",
       "1997-05-15  2.437500  2.500000  1.927083  1.958333   1.958333  72156000\n",
       "1997-05-16  1.968750  1.979167  1.708333  1.729167   1.729167  14700000\n",
       "1997-05-19  1.760417  1.770833  1.625000  1.708333   1.708333   6106800\n",
       "1997-05-20  1.729167  1.750000  1.635417  1.635417   1.635417   5467200\n",
       "1997-05-21  1.635417  1.645833  1.375000  1.427083   1.427083  18853200"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "df = pd.read_csv(\"./algoTrade/data/us_etf_data/AMZN.csv\", index_col = 'Date', parse_dates = [\"Date\"])\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>Volume</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [Open, High, Low, Close, Adj Close, Volume]\n",
       "Index: []"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df.isin([np.nan, np.inf, -np.inf]).any(1)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>Volume</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1997-05-21</th>\n",
       "      <td>NaN</td>\n",
       "      <td>1.645833</td>\n",
       "      <td>1.375000</td>\n",
       "      <td>1.427083</td>\n",
       "      <td>1.427083</td>\n",
       "      <td>18853200.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1997-05-27</th>\n",
       "      <td>1.510417</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.458333</td>\n",
       "      <td>1.583333</td>\n",
       "      <td>1.583333</td>\n",
       "      <td>8697600.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1997-06-02</th>\n",
       "      <td>1.510417</td>\n",
       "      <td>1.531250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.510417</td>\n",
       "      <td>1.510417</td>\n",
       "      <td>591600.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1997-06-11</th>\n",
       "      <td>1.593750</td>\n",
       "      <td>1.604167</td>\n",
       "      <td>1.531250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.541667</td>\n",
       "      <td>1188000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1997-06-19</th>\n",
       "      <td>1.510417</td>\n",
       "      <td>1.531250</td>\n",
       "      <td>1.500000</td>\n",
       "      <td>1.510417</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1003200.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1997-06-24</th>\n",
       "      <td>1.505208</td>\n",
       "      <td>1.526042</td>\n",
       "      <td>1.479167</td>\n",
       "      <td>1.510417</td>\n",
       "      <td>1.510417</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-07-14</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-09-25</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-12-22</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2001-03-08</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2001-06-27</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "                Open      High       Low     Close  Adj Close      Volume\n",
       "Date                                                                     \n",
       "1997-05-21       NaN  1.645833  1.375000  1.427083   1.427083  18853200.0\n",
       "1997-05-27  1.510417       NaN  1.458333  1.583333   1.583333   8697600.0\n",
       "1997-06-02  1.510417  1.531250       NaN  1.510417   1.510417    591600.0\n",
       "1997-06-11  1.593750  1.604167  1.531250       NaN   1.541667   1188000.0\n",
       "1997-06-19  1.510417  1.531250  1.500000  1.510417        NaN   1003200.0\n",
       "1997-06-24  1.505208  1.526042  1.479167  1.510417   1.510417         NaN\n",
       "2000-07-14       NaN       NaN       NaN       NaN        NaN         NaN\n",
       "2000-09-25       NaN       NaN       NaN       NaN        NaN         NaN\n",
       "2000-12-22       NaN       NaN       NaN       NaN        NaN         NaN\n",
       "2001-03-08       NaN       NaN       NaN       NaN        NaN         NaN\n",
       "2001-06-27       NaN       NaN       NaN       NaN        NaN         NaN"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "df = pd.read_csv(\"./algoTrade/data/ch03/AMZN_결측값.csv\", index_col = 'Date', parse_dates = [\"Date\"])\n",
    "df[df.isin([np.nan, np.inf, -np.inf]).any(1)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Date'>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "price_df = df.loc[:, ['Adj Close']].copy()\n",
    "price_df.plot(figsize=(16,9))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Date'>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from_date = '1997-01-03'\n",
    "to_date = '2003-01-03'\n",
    "price_df.loc[from_date:to_date].plot(figsize=(16,9))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>daily_rtn</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1997-05-15</th>\n",
       "      <td>1.958333</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1997-05-16</th>\n",
       "      <td>1.729167</td>\n",
       "      <td>-0.117021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1997-05-19</th>\n",
       "      <td>1.708333</td>\n",
       "      <td>-0.012049</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1997-05-20</th>\n",
       "      <td>1.635417</td>\n",
       "      <td>-0.042683</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1997-05-21</th>\n",
       "      <td>1.427083</td>\n",
       "      <td>-0.127389</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1997-05-22</th>\n",
       "      <td>1.395833</td>\n",
       "      <td>-0.021898</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1997-05-23</th>\n",
       "      <td>1.500000</td>\n",
       "      <td>0.074627</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1997-05-27</th>\n",
       "      <td>1.583333</td>\n",
       "      <td>0.055555</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1997-05-28</th>\n",
       "      <td>1.531250</td>\n",
       "      <td>-0.032895</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1997-05-29</th>\n",
       "      <td>1.505208</td>\n",
       "      <td>-0.017007</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Adj Close  daily_rtn\n",
       "Date                            \n",
       "1997-05-15   1.958333        NaN\n",
       "1997-05-16   1.729167  -0.117021\n",
       "1997-05-19   1.708333  -0.012049\n",
       "1997-05-20   1.635417  -0.042683\n",
       "1997-05-21   1.427083  -0.127389\n",
       "1997-05-22   1.395833  -0.021898\n",
       "1997-05-23   1.500000   0.074627\n",
       "1997-05-27   1.583333   0.055555\n",
       "1997-05-28   1.531250  -0.032895\n",
       "1997-05-29   1.505208  -0.017007"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "price_df['daily_rtn'] = price_df['Adj Close'].pct_change()\n",
    "price_df.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>daily_rtn</th>\n",
       "      <th>st_rtn</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1997-05-15</th>\n",
       "      <td>1.958333</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1997-05-16</th>\n",
       "      <td>1.729167</td>\n",
       "      <td>-0.117021</td>\n",
       "      <td>0.882979</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1997-05-19</th>\n",
       "      <td>1.708333</td>\n",
       "      <td>-0.012049</td>\n",
       "      <td>0.872340</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1997-05-20</th>\n",
       "      <td>1.635417</td>\n",
       "      <td>-0.042683</td>\n",
       "      <td>0.835107</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1997-05-21</th>\n",
       "      <td>1.427083</td>\n",
       "      <td>-0.127389</td>\n",
       "      <td>0.728723</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1997-05-22</th>\n",
       "      <td>1.395833</td>\n",
       "      <td>-0.021898</td>\n",
       "      <td>0.712766</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1997-05-23</th>\n",
       "      <td>1.500000</td>\n",
       "      <td>0.074627</td>\n",
       "      <td>0.765958</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1997-05-27</th>\n",
       "      <td>1.583333</td>\n",
       "      <td>0.055555</td>\n",
       "      <td>0.808511</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1997-05-28</th>\n",
       "      <td>1.531250</td>\n",
       "      <td>-0.032895</td>\n",
       "      <td>0.781915</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1997-05-29</th>\n",
       "      <td>1.505208</td>\n",
       "      <td>-0.017007</td>\n",
       "      <td>0.768617</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Adj Close  daily_rtn    st_rtn\n",
       "Date                                      \n",
       "1997-05-15   1.958333        NaN       NaN\n",
       "1997-05-16   1.729167  -0.117021  0.882979\n",
       "1997-05-19   1.708333  -0.012049  0.872340\n",
       "1997-05-20   1.635417  -0.042683  0.835107\n",
       "1997-05-21   1.427083  -0.127389  0.728723\n",
       "1997-05-22   1.395833  -0.021898  0.712766\n",
       "1997-05-23   1.500000   0.074627  0.765958\n",
       "1997-05-27   1.583333   0.055555  0.808511\n",
       "1997-05-28   1.531250  -0.032895  0.781915\n",
       "1997-05-29   1.505208  -0.017007  0.768617"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "price_df['st_rtn'] = (1+price_df['daily_rtn']).cumprod()\n",
    "price_df.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Date'>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "price_df['st_rtn'].plot(figsize = (16,9))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "누적 수익 :  10.356931096748863\n"
     ]
    },
    {
     "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 1152x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "base_date = '2011-01-03'\n",
    "tmp_df = price_df.loc[base_date:, ['st_rtn']] / price_df.loc[base_date, ['st_rtn']]\n",
    "last_date = tmp_df.index[-1]\n",
    "print('누적 수익 : ', tmp_df.loc[last_date, 'st_rtn'])\n",
    "tmp_df.plot(figsize=(16,9))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3.2 투자 성과 분석 지표"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "CAGR = price_df.loc['2019-06-24', 'st_rtn'] ** (252./len(price_df.index)) - 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Date'>"
      ]
     },
     "execution_count": 16,
     "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": [
    "historical_max = price_df['Adj Close'].cummax()\n",
    "daily_drawdown = price_df['Adj Close'] / historical_max - 1.0\n",
    "historical_dd = daily_drawdown.cummin()\n",
    "historical_dd.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "VOL = np.std(price_df['daily_rtn']) * np.sqrt(252.)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "Sharpe = np.mean(price_df['daily_rtn']) / np.std(price_df['daily_rtn']) * np.sqrt(252.)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CAGR :  36.58 %\n",
      "Sharpe :  0.81\n",
      "VOL :  60.04 %\n",
      "MDD :  94.4 %\n"
     ]
    }
   ],
   "source": [
    "CAGR = price_df.loc['2019-06-24', 'st_rtn'] ** (252./len(price_df.index)) - 1\n",
    "Sharpe = np.mean(price_df['daily_rtn']) / np.std(price_df['daily_rtn']) * np.sqrt(252.)\n",
    "VOL = np.std(price_df['daily_rtn']) * np.sqrt(252.)\n",
    "MDD = historical_dd.min()\n",
    "print('CAGR : ', round(CAGR*100, 2), '%')\n",
    "print('Sharpe : ', round(Sharpe, 2))\n",
    "print('VOL : ', round(VOL*100, 2), '%')\n",
    "print('MDD : ', round(-1*MDD*100, 2), '%')"
   ]
  },
  {
   "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
}