{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"
\n",
"# ** 5 Python for Finance**\n",
"파이썬을 활용한 금융분석"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"
\n",
"## 1 금융 시계열 데이터 결측치 처리 / 보간법\n",
"https://github.com/pydata/pandas-datareader\n",
"1. pandas를 활용한 데이터 정렬 및 보간법\n",
"1. 금융데이터 크롤링 모듈 설치방법 (2018.06 기준)\n",
"1. ! pip install git+https://github.com/pydata/pandas-datareader.git --upgrade"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"# from pandas_datareader import get_data_yahoo\n",
"# start_date = '2013-01-01'\n",
"# codes = ['KO', 'MS', '005930.KS', '000660.KS']\n",
"# result = {}\n",
"# for code in codes:\n",
"# result[code] = get_data_yahoo(code, start_date).Close\n",
"\n",
"# import pandas as pd\n",
"# prices = pd.DataFrame(result)\n",
"\n",
"# prices = prices.fillna(method='ffill')\n",
"# prices = prices.dropna() \n",
"# prices.to_csv('./data/stocks.csv', encoding=\"ms949\")\n",
"# prices.tail(3)"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"DatetimeIndex: 1410 entries, 2013-01-02 to 2018-06-11\n",
"Data columns (total 4 columns):\n",
"KO 1410 non-null float64\n",
"MS 1410 non-null float64\n",
"005930.KS 1410 non-null float64\n",
"000660.KS 1410 non-null float64\n",
"dtypes: float64(4)\n",
"memory usage: 55.1 KB\n"
]
}
],
"source": [
"# 저장된 CSV 파일을 사용한다\n",
"\n",
"import pandas as pd\n",
"prices = pd.read_csv('./data/stocks.csv')\n",
"prices = prices.set_index('Date')\n",
"prices.head(3)\n",
"prices.index = pd.DatetimeIndex(prices.index)\n",
"prices.info()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"
\n",
"## **2 금융 시계열 데이터 전처리**\n",
"데이터 분석을 위한 전처리 방법"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"
\n",
"### **01 가격 차이가 큰 시계열 데이터 비교하기**\n",
"데이터 정규화 / 비정규화"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"%matplotlib inline\n",
"prices.plot()"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"text/plain": [
"Date\n",
"2018-06-05 51300.0\n",
"2018-06-06 51300.0\n",
"2018-06-07 50600.0\n",
"2018-06-08 49650.0\n",
"2018-06-11 49900.0\n",
"Name: 005930.KS, dtype: float64"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"price = prices['005930.KS']\n",
"price[-5:]"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"DatetimeIndex(['2013-01-02', '2013-01-03', '2013-01-04', '2013-01-07',\n",
" '2013-01-08', '2013-01-09', '2013-01-10', '2013-01-11',\n",
" '2013-01-14', '2013-01-15',\n",
" ...\n",
" '2018-05-29', '2018-05-30', '2018-05-31', '2018-06-01',\n",
" '2018-06-04', '2018-06-05', '2018-06-06', '2018-06-07',\n",
" '2018-06-08', '2018-06-11'],\n",
" dtype='datetime64[ns]', name='Date', length=1410, freq=None)"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"price.index"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"DatetimeIndex(['2013-01-02', '2013-01-03', '2013-01-04', '2013-01-07',\n",
" '2013-01-08', '2013-01-09', '2013-01-10', '2013-01-11',\n",
" '2013-01-14', '2013-01-15',\n",
" ...\n",
" '2018-05-29', '2018-05-30', '2018-05-31', '2018-06-01',\n",
" '2018-06-04', '2018-06-05', '2018-06-06', '2018-06-07',\n",
" '2018-06-08', '2018-06-11'],\n",
" dtype='datetime64[ns]', name='Date', length=1410, freq=None)"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"price.index = pd.DatetimeIndex(price.index)\n",
"price.index"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0.10781250000000009"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"price[\"2013-10-03\"] / price[\"2013-08-01\"] -1"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"returns = price.pct_change()\n",
"ret_price = (1 + returns).cumprod()\n",
"ret_price[0] = 1\n",
"\n",
"%matplotlib inline\n",
"ret_price.plot(figsize=(12,3))"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"for col in prices.columns:\n",
" pct_returns = prices[col].pct_change()\n",
" pct_returns = (1 + pct_returns).cumprod()\n",
" pct_returns[0] = 1\n",
" pct_returns.plot(legend=True)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"
\n",
"### **02 누적 수익률 계산 **\n",
".pct_change().cumprod()"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"text/plain": [
"Date\n",
"2016-01-29 -0.087302\n",
"2016-02-29 0.024348\n",
"2016-03-31 0.113752\n",
"2016-04-29 -0.051067\n",
"2016-05-31 0.037751\n",
"2016-06-30 0.102941\n",
"2016-07-29 0.080000\n",
"2016-08-31 0.052632\n",
"2016-09-30 -0.013580\n",
"2016-10-31 0.025657\n",
"2016-11-30 0.065284\n",
"2016-12-30 0.032073\n",
"Freq: BM, Name: 005930.KS, dtype: float64"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"month_returns = price.resample('BM').last().pct_change()\n",
"month_returns['2016']"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Date\n",
"2016-01-29 0.794199\n",
"2016-02-29 0.813536\n",
"2016-03-31 0.906077\n",
"2016-04-29 0.859807\n",
"2016-05-31 0.892265\n",
"2016-06-30 0.984116\n",
"2016-07-29 1.062845\n",
"2016-08-31 1.118785\n",
"2016-09-30 1.103591\n",
"2016-10-31 1.131906\n",
"2016-11-30 1.205801\n",
"2016-12-30 1.244475\n",
"Freq: BM, Name: 005930.KS, dtype: float64"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"m_ret = (1 + month_returns).cumprod()\n",
"m_ret['2016']"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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8IgcFJQ4Kyu7/dUsqm/YdZvIdsUSF1HV3yCJKjEVERMS1/v3TVv77W0KF9n1gcGuGdNC8YqkelBiLiIiIy2xIyeLteQkM7RDB4Pbh1PHxpq6fN3V9vfH39aKub+ntOj7eBPr7EB7k7+6QRY5SYiwiIiIu4XBanvpyPQ0C/Xn9pm4E1/V1d0giZ0Sz3EVERMQlPlm6m/UpWTx3VUclxVIjKTEWERGRc7YvK5/Xf9rGhW3DubJrE3eHI3JWlBiLiIjIOfv7/zZR4nTywrWdMca4OxyRs6LEWERERM7Jz5sO8MPG/Tw0pC1NG2g5Z6m5lBiLiIjIWcstLOG5bzbQLiKIsee3cHc4IudEVSlERETkrP3n523szSpgtlauEw+gV7CIiIiclQ0pWXy4eBe39m1Gr+ah7g5H5JwpMRYREZEz5nBanv6qtGbx45e1d3c4Ii6hxFhERETO2NSlu1mXrJrF4lmUGIuIiMgZ2ZeVz2uqWSweSImxiIiInBHVLBZPpcRYREREKkw1i8WTKTEWERGRCsnKK1bNYvFo5SbGxpgPjTGpxpgN5ezX2xhTYowZ7rrwREREpDpwOi2PfrGGtJxC/jm8q2oWi0eqyKt6CnDZ6XYwxngD/wR+ckFMIiIiUs1MXLCDXzan8swVHeneNMTd4YhUinITY2vtQuBgObs9CMwGUl0RlIiIiFQfixPSef2nrVzdLZLb+zd3dzgileacvwcxxkQB1wETK7DvOGNMnDEmLi0t7VwPLSIiIpVsX1Y+f5q+mlbh9Xj5+i6qQiEezRUThN4AnrDWOsvb0Vo7yVoba62NDQ8Pd8GhRUREpLIUlTi5f9oqCoodTBzVi0B/H3eHJFKpXPEKjwU+L/sEGQZcbowpsdZ+7YK2RURExE1emruZVXsyeefWnrRuVM/d4YhUunNOjK21R+u1GGOmAHOUFIuIiFQfJQ4nPmdYReKbNSlMWbKbsQNbcHkXrW4ntUO5ibExZjowCAgzxiQDzwG+ANbadys1OhERETknu9NzueqtRbRvEsR9g1szqG14ufOEtx3I5snZ6+kdE8oTw9pXUaQi7lduYmytHVHRxqy1o88pGhEREXEZay3PfL0BC6QcyufOj1bSsUl97h/cmss6N8bb68QEOaewhHs/jSfQ34e3R/ZUvWKpVfRqFxER8VDfrNnLooR0nrisHfP/Mph/De9KQbGD+z9bxcX/WcAXcUkUO/7v2nlrLU/MWkdiRh5vj+xBRP06boxepOopMRYREfFAmXlFPD9nE92bhjCyb3P8fLy4KbYpP//5QiaM7EkdH2/+Mmsdg16dz8dLdlNQ7GDyol18t34fj1/ajn4tG7r7FESqnOquiIiIeKBXvt9CZn4xU6/rctyUCW8vwxVdm3B5l8bM35bGhN8SeO5/G3nrt+0cyivm0k4RjLugpRsjF3EfJcYiIiIeZsWug3y+Mol7LmhJx8j6J93HGMPgdo0Y3K4Ry3dmMGH+DrLyinj1xm5axENqLSXGIiIiHqSoxMnTX60nKqQuDw1tU6HH9G3ZkL6aOiGixFhERMSTTFq4g4TUHD4a3ZsAP/2ZFzkTuvhORETEQ+xOz+W/vyVweZfGDG7fyN3hiNQ4SoxFREQ8wJGaxX7eXjx3VSd3hyNSIykxFhER8QBHahY/flk71R8WOUtKjEVERGq4IzWLuzUN4da+zd0djkiNpVn5IiIiNdyRmsWfXNf5pMs8i0jFaMRYRESkBlu5u7Rm8ZiBLegUGezucERqNCXGIiIiNVRRiZOnvyytWfxwBWsWi8ipaSqFiIhIDbQ3M5+X5m5me2oOk++IVc1iERfQu0hERKQGycgp5J35O5i6LBFrLX+6qDVDOkS4OywRj6DEWEREpAY4XFDMBwt3MnnRLvKLHdzQM5qHhrYhOjTA3aGJeAwlxiIiItVYfpGDT5buZuKCHWTmFXNFlyY8cnFbWjeq5+7QRDxOuYmxMeZD4Eog1Vrb+STbbwWeAAyQDYy31q51daAiIiK1SVGJkxlxSbz163ZSswsZ1C6cxy5pR+coVZ4QqSwVGTGeArwNfHKK7buAC621h4wxw4BJQF/XhCciIlL77E7P5c4pK9mVnkvvmFDeHtmTPi0auDssEY9XbmJsrV1ojIk5zfYlx9xcBkSfe1giIiK10+70XG6ZtIwih5OPRvdmULtwjNGiHSJVwdVzjMcA359qozFmHDAOoFmzZi4+tIiISM12bFI8bWxfOjSp7+6QRGoVly3wYYwZTGli/MSp9rHWTrLWxlprY8PDw111aBERkRpvd3ouI95fRmGJQ0mxiJu4ZMTYGNMV+AAYZq3NcEWbIiIitcWRpLig2MFnd/dTUiziJuc8YmyMaQZ8Cdxmrd127iGJiIjUHokZSopFqouKlGubDgwCwowxycBzgC+AtfZd4P8BDYF3yi4OKLHWxlZWwCIiIp4iMaN0TnFBsYNpY5UUi7hbRapSjChn+1hgrMsiEhERqQX+mBR3jFRSLOJuWvlORESkiiVm5DJi0jLyix18pqRYpNpwWVUKERERKd+W/YcZMWkZeUqKRaodjRiLiIhUstzCEr5bt4+ZcUnEJR4iJMCXaWP7KikWqWaUGIuIiJTjf2v3sirxEB0j69MtOoTWjerh7XX61eistcQnHmJmXBJz1u0jr8hBy/BAnhzWnht6RhMe5F9F0YtIRSkxFhEROYX8Igf/75sNfBGfjK+3odhhAajr603nqPp0jQ6ha3Qw3aJDaN4wAGMMqdkFfLkqhZlxSexMyyXAz5sruzbh5t5N6dksVMs7i1RjSoxFREROYkdaDvdPW8WW/dk8eFFr/jSkDYkZeaxLzmRdchZrkzP5dFkihSVOAOrX8aFFWCAb9h7G4bT0jgnl3gtbcUWXJgT668+tSE2gd6qIiMgffLt2L0/OXoefjxdT7uzNoHaNAGjdqB6tG9Xj+p7RABQ7nGw7kM265CzWJWey/UAOd5/fkhtjo2kVXs+dpyAiZ0GJsYiISJnCEgcvzNnM1GWJ9GoeylsjehAZUveU+/t6e9EpMphOkcGM6NOsCiMVkcqgxFhERATYk5HH/Z+tYn1KFnef34LHL2uPr7eqmorUJkqMRUSk1vtp434e/WItBph0Wy8u6dTY3SGJiBvUqsQ4K6+YIf+eT6vwerRqVI/W4fWOzhdrElzH5VcKH8otYtuBbAL9fegcFezStkVE5Nw5nJZXvt/M+7/vomt0MBNG9qRpgwB3hyUiblKrEuPCEgdD2keQkJbDd+v2kZVffHRbgJ83rcoS5VbhgTRtEEBwXd/jfurX9T3p12pZ+cVsP5DNtgM5bDuQXfaTQ3pOIQD+Pl7Me2zQaeepiYhI1bLW8szXG5i+Yg+39WvOM1d2wN/H291hiYgbGWutWw4cGxtr4+Li3HJsKP2FmJ5TxI60HBJSS3+O/H9fVsEpHxfo5039skQ50N+H5EN5HDhceNz21hFBtG1Uj7YRQTQJqcOfZ6zlmu6RvHpjt6o4NRERKYe1lle+38J7C3dy36BWPH5Ze3eHJCKVyBgTb62NLW+/WjVifCxjDOFB/oQH+dOvZcPjtuUUlrAvM5/DBcVk5Zf+HM4vOfr/0tvF5BSWcF7rMNpGBNE2ojQRjgyui9cfVkNal5zF+7/vZMz5LWjfWMt/ioi42zvzd/Dewp2M6teMv1zazt3hiEg1UWsT49Op5+9Dm4ggl7V336BWfL5iD//8fgsf3dnHZe1WB4UlDuITD1FQ7OCi9hHuDkdEpFxTl+7m1R+3ck33SP5xdWetRCciRykxrgIhAX48cFFrXpq7hSU70hnQKszdIZ01ay3bU3NYuC2NRQnpLN95kPxiBwCvXN+FW1THU0Sqsa9WJ/PsNxsZ2qERr93Y7YRv+ESkdis3MTbGfAhcCaRaazufZLsB3gQuB/KA0dbaVa4OtKa7vX8MHy9J5JXvt/D1fefVqF/GadmFLE5I5/ft6SxKSDs6p7pleCA3xUYzsE04ny5L5K9fb6BxcJ2jK0SJiFQnP286wGNfrKN/y4a8PbKnahSLyAkqMmI8BXgb+OQU24cBbcp++gITy/6VY9Tx9ebRS9ry55lrmbN+H1d3i3R3SOXal5XPn6avZuXuQwCEBPhyXuswLmgTxsA24UQdU2Wjf6uG3PTuUu6ftooZ9/RXeToRqVaW7Ejn/s9W0TmyPu/fEUsdX1WfEJETVagqhTEmBphzihHj94D51trpZbe3AoOstftO12ZQUJDt1avXcffddNNN3HfffeTl5XH55Zef8JjRo0czevRo0tPTGT58+Anbx48fz80330xSUhK33XbbCdsfffRRrrrqKrZu3co999xzwvZnnnmGoUOHsmbNGh5++OETtr/00ksMGDCAJUuW8PTTT5+w/Y033qB79+788ssvvPDCCydsnzjxXf78UxqJqxcQtutnvP4wr23q1Kk0bdqUGTNmMHHixBMeP2vWLMLCwpgyZQpTpkw5YfvcuXMJCAjgnXfeYebMmSdsnz9/PgCvvfYac+bMOW5b3bp1+f777wF4/vnnmfPDT2zZl02J00lkSF2aR0bw45xv8PYyPPXUUyxduvS4x0dHR/P6Ox9w3YTF7Ph2Ai290vH3+b/RmLZt2zJp0iQAxo0bx7Zt2457fPfu3XnjjTcAGDVqFMnJycdt79+/Py+//DIAN9xwAxkZGcdtHzJkCM8++ywAw4YNIz8//7jtV155JY899hgAgwYNOuG58fTX3nvvvUe7du349ttvef3110/YXp1ee7/++utx2xs2bMjs2bMBTvna+/TTTwF4+OGHWbNmzXHb9drTa29NUiaX3vUYxbvi6NgkGB/v0t+9eu3ptaffe7XntbdgwYIKVaVwxfdIUUDSMbeTy+47gTFmnDEmzhgTV1xcfLJdPJqXl+GpYe1Jzyki9ZgSb9XN/qwCNu09jNNaOjapT1RIXYLr+uJdzvSPiPp1mHJXHxxOy5b9hylxuqcUYGVYuiODm95bSmr2qUv5SeXIzCvisS/WMmXxLg7n177fG3Jutu7PZvRHKwj086F9k/pHk2IRkZNxxYjxHOAVa+2istu/Ak9Ya09bpNjddYzdadQHy9m4N4sFjw+mfh1fd4dznEXb07lnahyhgX5MHdOXFmGBZ9zGkh3p3PHhCno1D+Xju/rU6IL51lremb+DV3/cCkCHJvWZeU8/gqpZv3kiay3Tlu/h799uxNvLUFDsBErntg9u14iL2jeid0wD/Hw0T1ROLjEjlxvfXYoxMOveAVrRTqQWq2gdY1f8RUkBmh5zO7rsPjmFJ4e151BeMe/O3+HuUI4zd/0+7pqykujQAGaPH3BWSTHAgFZhvDq8G8t2HuSJWetw1yIy58payys/bOHVH7dybfdIPhwdy/YD2Yz/dBVFJU53h+fRCoodPD5rHc98vYEBrcJY9tQQ5j82iL9d1ZHo0ACmLkvk1g+W0+MfPzHukzg+X7GH/adZmEdqn8MFxdw5ZSVFDiefjumrpFhEKsQV5dr+BzxgjPmc0ovussqbX1zbdY4K5trukUxetIvb+jenSbD7l4qetjyRZ77eQK9moUy+ozfBAec2InptjyhSMvN59cetRIcG8FgNK6DvcB6/VOzfr+6El5fh5eu78JdZ63jyy3W8fmM31T+tBEkH8xg/LZ4NKYf500WteWhoW7y9DCEBfowOa8Ho81qQV1TC0h0Z/LYllflb0/hp0wEAru4WyWs3dtMoci3ndFoe+XwNezLymDa2r0vr0ouIZ6tIubbpwCAgzBiTDDwH+AJYa98F5lJaqi2B0nJtd1ZWsJ7k0UvaMXf9fv7z8zb+Ndx9S0Vba3n7twRe/3kbF7VvxISRPanr55qpD/cNakXyoTzenpdAVGhdRtSQGsdFJU7+PHMNc9bt4/7BrXjsknZHE+AbY5uyL6uAf/+8jaiQujx6Sc1K+Ku737en8eD01Ticlg9uj2Vox5MvGhPg58OQDhEM6RBxtLb2l6tSeHfBDnIKS3jn1p6qOlCLvfHrdn7dkso/rulE3z+sbCoicjrlJsbW2hHlbLfA/S6LqJZo2iCA2/s358PFuxgzsCXtGlf9iIbTafnHnE1MWbKb63tE8c/hXV1a19MYw/OzSstkAAAaDElEQVTXdGZvZgHPlNU4HlzNaxznFzkYPy2e+VvTeGpYe+65sNUJ+zx4UWv2Zubz1m8JNAmuy8i+NSPhr86OzOV+/aettGkUxLu39arwVB5jDG0jgnhyWHuaNqjLX7/awNiP45h0ey8C/LSGUW3zw4b9/PfX7dzYK5rb+jV3dzgiUsNU6OK7ylCbL747IjOviAv+NY/YmAZ8OLq3y9pNPpTHwdwivIzByxi8vQxeprQqhpcxeBuDMfD6T1v5es1exgxswV8v71Bpi47kFJZw83tL2ZWey2d396N705BKOc65OlxQzNgpcaxMPMhL13U57Qh3icPJ3Z/EsWBbGu/fHsuQDloO+2xlFxTz6My1/LTpAFd1i+SfN3Q5p4R2Vnwyj89aS2zzBnx4Z2/q+XtOcrxoezp5RSVc0qmxu0OplrYfyObaCYtpHRHEjHH99K2BiBxV0YvvlBi72bsLdvDK91uYfnc/+rc6t6/8rLVMXrSLl+ZupqKV0v5yaTvuG9Sq0ufKph4u4IZ3l5CeXcSbt3Svdn/YM3IKueOjFWzZl81/bu7OVRVYgCW3sIRbJi0jITWHz8f1o1s1TfirUmGJg/lb0/hmTQrLdx4k0N+H0ABfQgP9CA3wIyTAl9AAv6P3+Xl78coPW0jMyOPpyztw13kxLnktfrt2Lw/PWEOXqGA+vqsPwXVrfhWRvKISBrzyG5l5xYwd2IKnLu9QbgnF2iQrv5hr3l5ETqGDOQ8OpHFwHXeHJCLViBLjGqKg2MFFr80nPMifr+8/76yTgsISB898tYEv4pO5tFMEN/ZqitPash9wWovDabG29MIyp7U0bRBAvyqcf5eaXcDdH8exLiWLZ6/oyF0DW5xVO0UlTr6ITyIzr5h6/j4E1fGhnr8P9er4UL+O79H/B9XxqVCpuH1Z+Yz6YDkpmflMHNXrjKZ7pGUXcv3ExeQVOvjyvgE0b3h2lTxqMqfTsmL3Qb5Zk8J36/ZxuKCEsHp+XNi2ESVOJ4fyijmUW8ShvCIy84rJKSw57vFh9fyZMLKHy+eC/rRxPw98tpo2EfWYOqYvDQL9XNp+VZu6dDfPfrORoR0i+GXzAS5sG85bI3tUu5KP7uBwWsZ8vJLFCelMv7sfsTEN3B2SiFQzSoxrkFnxyTz2xVpGD4jhsUvbnfFXv2nZhdz7aTzxiYf405A2PDykTaVNizhX+UUOHp6xmh83HmD0gBievbLjGY16rU3K5InZ69iyP7tC+3t7Gcpr3WEt9fx8mDy6N31anPkf1B1pOdwwcQmhAX7MHj/ghAQsu6CYTXsPsz4li417D7MhJYtih5MJt/akU2TNXTp7y/7DfLU6hW/X7GVvVgEBft5c2qkx13SPZGDrMHxOMV+9qMRJZl4Rh/KKycwrom1EEKGVlLTO35rKPVPjad4wgE/H9qVRUM0cRXQ4LUNen09IgB9f3TeAz1cm8ezXG2jWMIDJd/Q+69KKnuLVH7cwYd4OXryuM7f21bxiETmREuMapLQ02Hqmr0giPMifJy5rz/U9oiqU3G5IyWLcJ3EczCvitRu7cWXX8qcAuJvDaXnl+828//suhrRvxH9H9CCwnA8D+UUO/v3zViYv2kV4kD8vXNuFC9qGkV1QQk5BCTmFJWQXlJBdUDoieeR2XlHJadsF8DKGK7tGntMFkPGJBxn5/nI6Rtbnzxe3PS4R3pWee3S/iPr+dI4MZtO+wxQUO5g+rh/tG9c/6+NWtQOHC/hqdQpfr05hy/5sfLwMF7QN55rukVzcMaJaXuy2JCGdsZ/E0bh+Habd3bdalEc8Uz9u3M89U+N5e2SPo+/x5TszGD9tFSVlH7LObxPu5ijd47t1+7j/s1WM6NOUl6/v6u5wRKSaUmJcA61NyuRv325k9Z5MujUN4W9XdaRHs9BT7j93/T4enbmWkABf3r89ls5RNWv0ceqyRJ77ZgMdmtTnw9G9iah/8tG8JQnpPPnlevYczGNk32Y8Oax9tfz6+IcN+xk/LZ4jb6mokLp0jqpP58hgOkcH0ymy/tERy93pudw8aSklDsvn4/pV6zqrBcUOft50gFnxyfy+PQ2nhZ7NQriuRxSXd2lCw3r+7g6xXHG7DzL6o5WEBvry2dh+NW6xh5veXUpKZj4L/jLouJH4pIN53P1JHNtTc3jmig6MHuCaOdqVJelgHlEhdV32jdaW/Ye5bsISOjQJYvq4fjV6lU0RqVxKjGsop9Py9ZoUXvl+C6nZhVzfI4onhrU/Lml0Oi1v/rqdN3/dTo9mIbx3W68a+xXxvK2pPDBtFfXr+jL5jt50jPy/0dOsvGJemruZGXFJxDQM4JUbulbpnOizsS45k6z8YjpHBpc7PWBnWg43T1oGwOfj+tEqvF5VhFgh1lpWJ2UyOz6Zb9fu5XBBCZHBdbihVzTX94yukV/dr03K5PYPV1DH14u7z2/JNd2jCA+q/kn92qRMrpmwmGev7MiYk8zLzyks4ZEZa/h50wFujm3K89d2rpYLnMxcmcTjs9fROyaUl67rcs4fBjPzirj67cUUFJdebNfoFB+sRURAiXGNl1tYwoR5CXzw+y58vA33D27NmIEtcFrLozPX8v2G/VzfM4qXrutS40sSbdp7mLumrCS7oJgJt/ZkULtG/LBhH89+s5GDuUWMPb8FjwxtW+PP82QSUrO5ZdIyvL0MM8b1J8bNCef+rAK+XJ3MrPhkdqblUsfXi2GdmzC8VzT9WzastnPXK2rT3sM8+eU61iVn4e1luKBNGNf1jOaSjhHV9vX1wGerWLAtjaVPDTnl9QdOp+XfP2/j7XkJ9I4JZeKoXoRVo5H8NUmZ3PTuUtpE1CP5UD55RSXce2Er7h/c+qye90O5Rfzp89Us33mQz+/pR8/TfLMmIgJKjD1GYkYuL363mZ82HaBZgwAC/LzZeiCbp4d1YOz5Lar116ZnYn9WAXdNWcnWA9nENg9l+a6DdGxSn38N71rjpoicqa37sxnx/jLq+Hgx457+Vf41v8Npmbcllc9W7GH+1lScFnrHhDK8VzSXd2lCUDWctnKuElKz+XJV6VzpvVkFBPn7MKxLY67vGU2fmAbV5gNA8qE8Lnx1/tHybOX5du1eHvtiLQ0D/bi2RxQ9m4XSs3moWytypGUXctVbi/DxNnz7wEAc1vLid5v5anUKMQ0DePG6LpzXOqxCbSWkZjN50W6+XJVMYYmTf93QlZt6N63kMxART6DE2MMs2p7O37/dyP6sAv47ogeD21fvFeTORm5hCQ9OX82ihHQeGtKGcRe0dOlKfNXZpr2HGfnBMgL9fJhxTz+iQys/Od6Xlc+MlUnMWJnEvqwCwoP8uSk2mht7NXX7yHVVcToty3Zl8OWqFL5fv4/cIgdRIXW5rkcUI/o2IyrEvRfqPT9nEx8v2c3vTwyu8EWD65Oz+H//28D65CxKygqatwgLLEuSQ+jVPJQ2jYKqpAZyscPJre8vZ11KJrPHDziuCsvv29N45usNJGbkcX3PKP56eYeTzle31rJwezqTF+1i4bY0/Hy8uL5HFHee18ItK4aKSM2kxNgDOZyWgmJHuRUcajJrLblFDo9arayiNqRkMfL9ZYQE+DHjnn6VUj3B4bQs3JbGtOV7+G3LAZwWzm8Txq19mzGkQ0St+SByMvlFDn7atJ8vV6Xw+/Y0Av18eP2mbm5bjOZwQTEDXv6NoR0a8cYtPc748flFDtYlZ7JqTyar9hxiVeIhMnKLAKjn70OPZiEM7xXNNd2jXB36UX/730amLNnNm7d0P+lxCoodvPXbdt5bsJOgOj48fXkHhveKxhhDQbGDL1el8OHiXSSk5hAe5M/t/Zozsm+zGnHBp4hUL0qMRWqgtUmZjPpgOQ3r+THjnv6nrNRxplKzC5ixIonPVyaRkplPWD0/boxtyojezWjWsGZVaKgKezLyuP+zVaxPyWL8oFY8enHbU9ZlriyTFu7gpblbmPPgQJdMJ7LWsudgHvGJh1i15xBLdmSwMy2XF67tzKh+rq/9e6Q++5iBLXj2yo6n3XfbgWye+nI98YmH6NeyAT2ahfL5ij0cyiumU2R9xgxswRVdm6jqhIicNSXGIjVUfOIhbp+8nIjgOnw2tt85LW2bW1jCuwt2MGnhTgpLnJzXuiEj+zTn4o4R1bJyQXVSUOzg799uZPqKJAa0ash/R/Sosgvaih1OLvjXPGIaBjJ9XL9KOUZRiZN7P43nty2p/Gt4V26Kdd1c3fXJWdzw7hJ6Ngvh0zF9K/Shwum0TF+5h1e+30JOYQkXd4jgroEt6NuigcdcSyEi7qPEWKQGW7n7IHd8uAKntdwU25S7z295RhflOZyWWfFJvPbTNtKyC7mmeyQPD21bI8usudvMuNJV5kID/HhnVM8qqYDwzZoUHvp8DZPviGVIh4hKO05BsYO7P4ljUUI6b9x88ukOZyojp/RiO4BvHxx4xtMesvKLKSh2uOzbEhERUGIsUuPtTMvh3QU7+Gp1Ck4LV3Vtwr2DWpW7Ut6i7em88N0mtuzPplfzUJ65osNpF4qR8m1IyWL8tHj2ZxXw7JUdua1f80obxbTWctXbi8grcvDLIxdWeoWM/CIHd05Zwcrdh3hrRA8u79LkrNsqcTgZNXk5q/ZkMvveAXSJ9uyKMiJScygxFvEQ+7Ly+XDRLqYt30NekYOL2jdi/KBW9I5pcNx+CanZvDR3C79tSaVpg7o8eVkHLu/SWF9Du0hWXjGPzFzDb1tSubZ7JC9d36VSlsBeuiODEe8v46XrujCybzOXt38yuYUl3PHhCtYkZTJxVC8u7nh2o9TPz9nE5EW7eP3GbtzQK9rFUYqInD0lxiIeJjOviKlLE/loyW4O5hYR2zyU8YNa0a1pCP/9dTvTlu8hwNebB4e05o4BMbpQqRI4nZYJ8xL49y/baNsoiImjetLSxSsWjv14Jav3ZLL4yYuqdNGR7IJiRk1ewea9h5l0ey8GtTuzkpBfr07h4RlrGD0ghr9d3amSohQROTsuTYyNMZcBbwLewAfW2lf+sL0Z8DEQUrbPk9bauadrU4mxyNnJL3IwMy6JSQt3kpKZj5cBYwy39m3GQ0PaqJRVFVi4LY2HPl9NicPyzqienN8m3CXt7kjLYcjrC3hoSBseubitS9o8E1l5xYz8YBkJqTl8OLp3hRbesNayfNdBRn+0gq7RIUwb27dWl/0TkerJZYmxMcYb2AZcDCQDK4ER1tpNx+wzCVhtrZ1ojOkIzLXWxpyuXSXGIuem2OFkzrq9rE3KYlS/ZrRupMUOqlLyoTzGfhzHjrQcXruxm0suXHv6q/XMik9myZMXuW1J54O5RYx8fxmJGXl8fFcf+rRocMI+SQfzWLIjncUJGSzZkUF6TiFNguvwvwcGEh6kD2YiUv1UNDGuyAS5PkCCtXZnWcOfA9cAm47ZxwJHrggKBvaeWbgicqZ8vb24rkc01/XQXE53iA4NYMY9/Rn3SRwPfb6GtOxCxp7f8qzby8gpZHZ8Mjf0jHJbUgzQINCPqWP6csukpdz50Qqmju1L8wYBLN2ZweKE0mR4z8E8AMKD/BnYuiEDWocxtEOEW5eeFhFxhYokxlFA0jG3k4G+f9jnb8BPxpgHgUBg6MkaMsaMA8YBNGtWNReViIhUluC6vnx8Vx/+PHMNL3y3mQOHC3hqWIezqiTx6bI9FJY4GTPw7JNrVwkP8uezu/tx83tLueW9ZRQ5nAAE+fvQt2VD7jovhvNah9G6UT1d3CkiHsVVl1SPAKZYa183xvQHphpjOltrncfuZK2dBEyC0qkULjq2iIjb1PH15q0RPQmrt5H3f99FanYhrw7vdkYLqGTlFTN12W4uat+I1o1cezHf2YqoX4fP7u7HW78lEB1alwGtGtIlKrjKVwAUEalKFUmMU4Bjl0SKLrvvWGOAywCstUuNMXWAMCDVFUGKiFRn3l6Gv1/diYj6dXj1x60czC1i4qhe1PM//a/YzfsO88nSRL5enUJBiYN7L2xVRRFXTGRIXV6+vou7wxARqTIVSYxXAm2MMS0oTYhvAUb+YZ89wBBgijGmA1AHSHNloCIi1ZkxhvsHt6ZRkD9PfrmeWyYt5aPRfU64GK3Y4eTHjfv5ZGkiK3YdxN/Hi2u7R3H7gOZ0itSCGCIi7lRuYmytLTHGPAD8SGkptg+ttRuNMf8A4qy1/wMeBd43xjxC6YV4o627CiSLiLjRjbFNCavnz33TVnHDxCV8clcfYsICSc0uYPryJD5bkciBw4U0bVCXv17egRtjowkJ0EVrIiLVgRb4EBGpBKv3HOKuKSvxMoZ+rRry08b9FDssF7YN544BzbmwbSO8K3m5ZxERKeXKcm0iInKGejQLZdb4Adzx4QoWbkvjtn4x3Na/OS3CAt0dmoiInIISYxGRStIqvB6//PlCgCpd3llERM6OEmMRkUqkhFhEpOZQQUoREREREZQYi4iIiIgASoxFRERERAAlxiIiIiIigBJjERERERHAjQt8GGPSgEQXN9uM0uWpq1IwkOXBx3PHMdWPnnFM9aPnHLOq+7I2PK/qR884pvqx5hyzubU2vLyd3JYYVwZjTFpFTtrFx5xkrR3nqcdzxzHVj55xTPWjRx2zSvuyNjyv6kfPOKb60XOOeYSnTaXIdMMxv/Xw47njmOpHzzim+tFzjlnVfVkbnlf1o2ccU/3oOccEPG/EOK4i62BL9aZ+9AzqR8+hvvQM6kfPoH6sXJ42YjzJ3QGIS6gfPYP60XOoLz2D+tEzqB8rkUeNGIuIiIiInC1PGzEWERERETkrSoxFRERERKjmibExpqkxZp4xZpMxZqMx5qGy+xsYY342xmwv+ze07P72xpilxphCY8xjx7RTxxizwhiztqydv7vrnGojV/XjMe15G2NWG2PmVPW51Gau7EdjzG5jzHpjzBpjTJw7zqc2c3FfhhhjZhljthhjNhtj+rvjnGojF/6NbFf2Xjzyc9gY87C7zqu2cfH78ZGyNjYYY6YbY+q445xqsmo9x9gY0wRoYq1dZYwJAuKBa4HRwEFr7SvGmCeBUGvtE8aYRkDzsn0OWWtfK2vHAIHW2hxjjC+wCHjIWrvMDadV67iqH49p789ALFDfWntlVZ5LbebKfjTG7AZirbXpVX0e4vK+/Bj43Vr7gTHGDwiw1rqjVF+t4+rfrWVtegMpQF9rrasX4ZKTcGGuE0VpftPRWptvjJkJzLXWTqn6s6q5qvWIsbV2n7V2Vdn/s4HNQBRwDfBx2W4fU/riwFqbaq1dCRT/oR1rrc0pu+lb9lN9PxF4GFf1I4AxJhq4AvigCkKXY7iyH8W9XNWXxphg4AJgctl+RUqKq04lvSeHADuUFFcdF/ejD1DXGOMDBAB7Kzl8j1OtE+NjGWNigB7AciDCWruvbNN+IKICj/c2xqwBUoGfrbXLKylUOY1z7UfgDeBxwFkZ8UnFuKAfLfCTMSbeGOOW1Y2k1Dn2ZQsgDfiobHrTB8aYwMqKVU7NBe/JI24Bprs0OKmwc+lHa20K8Bqly0XvA7KstT9VWrAeqkYkxsaYesBs4GFr7eFjt9nSuSDljv5aax3W2u5ANNDHGNO5UoKVUzrXfjTGXAmkWmvjKy9KKY8r3o/AQGttT2AYcL8x5gLXRyrlcUFf+gA9gYnW2h5ALvBkZcQqp+ai9yRlU2GuBr5weZBSLhf8jQyldJS5BRAJBBpjRlVSuB6r2ifGZXOCZwPTrLVflt19oGxOzpG5OakVba/sa755wGWujlVOzUX9eB5wddn81M+Bi4wxn1ZSyHISrno/lo1sYK1NBb4C+lROxHIqLurLZCD5mG/gZlGaKEsVcfHfyGHAKmvtAddHKqfjon4cCuyy1qZZa4uBL4EBlRWzp6rWiXHZRXOTgc3W2n8fs+l/wB1l/78D+KacdsKNMSFl/68LXAxscX3EcjKu6kdr7VPW2mhrbQylX/f9Zq3Vp+Eq4sL3Y2DZBSaUfe1+CbDB9RHLqbjwPbkfSDLGtCu7awiwycXhyim4qh+PMQJNo6hyLuzHPUA/Y0xAWZtDKJ2vLGegulelGAj8Dqzn/+aUPk3p3JuZQDMgEbjJWnvQGNMYiAPql+2fA3QEYiiduO5N6YeBmdbaf1TdmdRururHY79aMsYMAh5TVYqq48L3Yxilo8RQ+lX8Z9baF6vqPMS170ljTHdKL4b1A3YCd1prD1Xl+dRWLu7HQEoTq5bW2qyqPZPazcX9+HfgZqAEWA2MtdYWVuX51HTVOjEWEREREakq1XoqhYiIiIhIVVFiLCIiIiKCEmMREREREUCJsYiIiIgIoMRYRERERARQYiwi4nbGGIcxZo0xZqMxZq0x5lFjzGl/PxtjYowxI6sqRhGR2kCJsYiI++Vba7tbaztRugDRMOC5ch4TAygxFhFxIdUxFhFxM2NMjrW23jG3WwIrKV0MpTkwFQgs2/yAtXaJMWYZ0AHYRekCRv8FXgEGAf7ABGvte1V2EiIiHkCJsYiIm/0xMS67LxNoB2QDTmttgTGmDTDdWhv7x9UfjTHjgEbW2heMMf7AYuBGa+2uKj0ZEZEazMfdAYiIyGn5Am+XLb3sANqeYr9LgK7GmOFlt4OBNpSOKIuISAUoMRYRqWbKplI4gFRK5xofALpRel1IwakeBjxorf2xSoIUEfFAuvhORKQaMcaEA+8Cb9vSuW7BwD5rrRO4DfAu2zUbCDrmoT8C440xvmXttDXGBCIiIhWmEWMREfera4xZQ+m0iRJKL7b7d9m2d4DZxpjbgR+A3LL71wEOY8xaYArwJqWVKlYZYwyQBlxbVScgIuIJdPGdiIiIiAiaSiEiIiIiAigxFhEREREBlBiLiIiIiABKjEVEREREACXGIiIiIiKAEmMREREREUCJsYiIiIgIAP8fRERpJfWx2iEAAAAASUVORK5CYII=\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import matplotlib.pyplot as plt\n",
"m_ret.plot(figsize=(12,3))\n",
"plt.axhline(y = 1, linestyle = '--', color = 'k')\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"
\n",
"### **03 중간 배당데이터 추가하기**\n",
"재귀적 연산"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [],
"source": [
"month_returns['2016-03-31'] += 0.003"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"10000\n",
"10001\n",
"10002\n",
"10003\n"
]
}
],
"source": [
"for i in range(4):\n",
" i += 10000\n",
" print(i)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"
\n",
"## **3 금융데이터 분석**\n",
"pandas를 활용한 금융데이터 분석"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"
\n",
"### **01 Introduction**"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" KO | \n",
" MS | \n",
" 005930.KS | \n",
" 000660.KS | \n",
"
\n",
" \n",
" Date | \n",
" | \n",
" | \n",
" | \n",
" | \n",
"
\n",
" \n",
" \n",
" \n",
" 2013-01-02 | \n",
" 37.599998 | \n",
" 19.620001 | \n",
" 31520.0 | \n",
" 26600.0 | \n",
"
\n",
" \n",
" 2013-01-03 | \n",
" 37.599998 | \n",
" 19.580000 | \n",
" 30860.0 | \n",
" 26650.0 | \n",
"
\n",
" \n",
" 2013-01-04 | \n",
" 37.660000 | \n",
" 20.190001 | \n",
" 30500.0 | \n",
" 26350.0 | \n",
"
\n",
" \n",
"
\n",
"
"
],
"text/plain": [
" KO MS 005930.KS 000660.KS\n",
"Date \n",
"2013-01-02 37.599998 19.620001 31520.0 26600.0\n",
"2013-01-03 37.599998 19.580000 30860.0 26650.0\n",
"2013-01-04 37.660000 20.190001 30500.0 26350.0"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"prices.head(3)"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" KO | \n",
" MS | \n",
" 005930.KS | \n",
" 000660.KS | \n",
"
\n",
" \n",
" \n",
" \n",
" count | \n",
" 1410.000000 | \n",
" 1410.000000 | \n",
" 1410.000000 | \n",
" 1410.000000 | \n",
"
\n",
" \n",
" mean | \n",
" 42.100099 | \n",
" 35.681879 | \n",
" 32640.000000 | \n",
" 45578.581560 | \n",
"
\n",
" \n",
" std | \n",
" 2.407227 | \n",
" 9.298308 | \n",
" 9609.622299 | \n",
" 17468.595733 | \n",
"
\n",
" \n",
" min | \n",
" 36.840000 | \n",
" 19.580000 | \n",
" 21340.000000 | \n",
" 23700.000000 | \n",
"
\n",
" \n",
" 25% | \n",
" 40.509998 | \n",
" 28.882501 | \n",
" 25840.000000 | \n",
" 31800.000000 | \n",
"
\n",
" \n",
" 50% | \n",
" 41.990002 | \n",
" 33.555000 | \n",
" 28560.000000 | \n",
" 41850.000000 | \n",
"
\n",
" \n",
" 75% | \n",
" 43.787500 | \n",
" 42.627501 | \n",
" 38205.000000 | \n",
" 49787.500000 | \n",
"
\n",
" \n",
" max | \n",
" 48.529999 | \n",
" 58.910000 | \n",
" 57220.000000 | \n",
" 95300.000000 | \n",
"
\n",
" \n",
"
\n",
"
"
],
"text/plain": [
" KO MS 005930.KS 000660.KS\n",
"count 1410.000000 1410.000000 1410.000000 1410.000000\n",
"mean 42.100099 35.681879 32640.000000 45578.581560\n",
"std 2.407227 9.298308 9609.622299 17468.595733\n",
"min 36.840000 19.580000 21340.000000 23700.000000\n",
"25% 40.509998 28.882501 25840.000000 31800.000000\n",
"50% 41.990002 33.555000 28560.000000 41850.000000\n",
"75% 43.787500 42.627501 38205.000000 49787.500000\n",
"max 48.529999 58.910000 57220.000000 95300.000000"
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"prices.describe()"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" KO | \n",
" MS | \n",
" 005930.KS | \n",
" 000660.KS | \n",
"
\n",
" \n",
" \n",
" \n",
" mean | \n",
" 42.100099 | \n",
" 35.681879 | \n",
" 32640.000000 | \n",
" 45578.581560 | \n",
"
\n",
" \n",
" std | \n",
" 2.407227 | \n",
" 9.298308 | \n",
" 9609.622299 | \n",
" 17468.595733 | \n",
"
\n",
" \n",
"
\n",
"
"
],
"text/plain": [
" KO MS 005930.KS 000660.KS\n",
"mean 42.100099 35.681879 32640.000000 45578.581560\n",
"std 2.407227 9.298308 9609.622299 17468.595733"
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"prices.describe().loc[ ['mean', 'std'] ,:]"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" KO | \n",
" MS | \n",
" 005930.KS | \n",
" 000660.KS | \n",
"
\n",
" \n",
" \n",
" \n",
" mean | \n",
" 42.100099 | \n",
" 35.681879 | \n",
" 32640.000000 | \n",
" 45578.581560 | \n",
"
\n",
" \n",
" std | \n",
" 2.407227 | \n",
" 9.298308 | \n",
" 9609.622299 | \n",
" 17468.595733 | \n",
"
\n",
" \n",
"
\n",
"
"
],
"text/plain": [
" KO MS 005930.KS 000660.KS\n",
"mean 42.100099 35.681879 32640.000000 45578.581560\n",
"std 2.407227 9.298308 9609.622299 17468.595733"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"prices.agg(['mean', 'std'])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"
\n",
"### **02 주가간의 상관계수 분석**"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" KO | \n",
" MS | \n",
" 005930.KS | \n",
" 000660.KS | \n",
"
\n",
" \n",
" \n",
" \n",
" KO | \n",
" 1.000000 | \n",
" 0.277816 | \n",
" 0.041527 | \n",
" 0.037768 | \n",
"
\n",
" \n",
" MS | \n",
" 0.277816 | \n",
" 1.000000 | \n",
" 0.074325 | \n",
" 0.099111 | \n",
"
\n",
" \n",
" 005930.KS | \n",
" 0.041527 | \n",
" 0.074325 | \n",
" 1.000000 | \n",
" 0.343296 | \n",
"
\n",
" \n",
" 000660.KS | \n",
" 0.037768 | \n",
" 0.099111 | \n",
" 0.343296 | \n",
" 1.000000 | \n",
"
\n",
" \n",
"
\n",
"
"
],
"text/plain": [
" KO MS 005930.KS 000660.KS\n",
"KO 1.000000 0.277816 0.041527 0.037768\n",
"MS 0.277816 1.000000 0.074325 0.099111\n",
"005930.KS 0.041527 0.074325 1.000000 0.343296\n",
"000660.KS 0.037768 0.099111 0.343296 1.000000"
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"prices_corr = prices.pct_change().dropna().corr()\n",
"prices_corr"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 20,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"%matplotlib inline\n",
"import seaborn as sns\n",
"sns.heatmap(prices_corr)"
]
}
],
"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": "3.6.3"
}
},
"nbformat": 4,
"nbformat_minor": 2
}