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@FinanceData
Created August 26, 2017 06:44
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국제 상품 가격 데이터
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"collapsed": true
},
"source": [
"# 국제 상품 가격 데이터\n",
"파이썬에서 국제 원자재(금, 은, 구리, 원유)의 가격을 가져와 다루는 방법\n",
"\n",
"* 국제 금가격 (LBM, 런던금은시장)\n",
"* 국제 은 가격 (LBMA, 런던 금시장협회)\n",
"* 국제 구리 가격 (LME, 런던 금속 거래소)\n",
"* 국제 원유가격 (서부 텍사스 중질유, 두바이유, 북해 브렌트유)\n",
"\n",
"<img src=\"http://i.imgur.com/qVjtvea.png\" >\n",
"\n",
"### 2017 http://fb.com/financedata"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"%matplotlib inline\n",
"import matplotlib.pyplot as plt\n",
"\n",
"plt.rcParams[\"figure.figsize\"] = (14,4)\n",
"plt.rcParams['axes.grid'] = True "
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"import pandas as pd\n",
"import pandas_datareader as pdr"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# 국제 금가격 (런던 금시장)\n",
"Gold Fixing Price in London Bullion Market (based in U.S. Dollar)\n",
"* (HSBC, 도이치은행 등) 5개 은행이 회의를 통해 Gold Fixing Price 발표\n",
"* 하루에 두 번 (10:30 AM, 3:00 PM 런던시간)\n",
"\n",
"FRED (세인트루이스 연방준비은행 경제 데이터)\n",
"* https://fred.stlouisfed.org/series/GOLDAMGBD228NLBM\n",
"* https://fred.stlouisfed.org/series/GOLDPMGBD228NLBM "
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"row count: 4605\n"
]
},
{
"data": {
"text/html": [
"<div>\n",
"<style>\n",
" .dataframe thead tr:only-child th {\n",
" text-align: right;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: left;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>GOLDAMGBD228NLBM</th>\n",
" </tr>\n",
" <tr>\n",
" <th>DATE</th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>2017-08-14</th>\n",
" <td>1281.10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017-08-15</th>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017-08-16</th>\n",
" <td>1270.15</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017-08-17</th>\n",
" <td>1285.90</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017-08-18</th>\n",
" <td>1295.25</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017-08-21</th>\n",
" <td>1287.60</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017-08-22</th>\n",
" <td>1285.10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017-08-23</th>\n",
" <td>1286.45</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017-08-24</th>\n",
" <td>1285.90</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017-08-25</th>\n",
" <td>1287.05</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" GOLDAMGBD228NLBM\n",
"DATE \n",
"2017-08-14 1281.10\n",
"2017-08-15 NaN\n",
"2017-08-16 1270.15\n",
"2017-08-17 1285.90\n",
"2017-08-18 1295.25\n",
"2017-08-21 1287.60\n",
"2017-08-22 1285.10\n",
"2017-08-23 1286.45\n",
"2017-08-24 1285.90\n",
"2017-08-25 1287.05"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df_gold = pdr.DataReader('GOLDAMGBD228NLBM', 'fred', start='2000-01-01')\n",
"\n",
"print('row count:', len(df_gold))\n",
"df_gold.tail(10)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7ff7977827f0>"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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O9Le2aZpWBBRZHm9QSu0HugBHANu0DFGWNqc0TZsFzALo2rWrlpCQUNtuimokJiYi4+tZ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\niIiI1Av/D5Cw6WdHofC9AAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7ff7d06a43c8>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"df_gold.plot()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# 국제 은 가격\n",
"* https://www.quandl.com/ 다양한 금융, 경제 데이터와 API를 제공)\n",
"* \"LBMA/SILVER\", 런던 금시장협회 (LBMA) 은 가격 "
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"row count: 4462\n"
]
},
{
"data": {
"text/html": [
"<div>\n",
"<style>\n",
" .dataframe thead tr:only-child th {\n",
" text-align: right;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: left;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>USD</th>\n",
" <th>GBP</th>\n",
" <th>EURO</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>2000-01-17</th>\n",
" <td>5.1250</td>\n",
" <td>3.13647</td>\n",
" <td>5.07175</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2000-01-14</th>\n",
" <td>5.0950</td>\n",
" <td>3.09915</td>\n",
" <td>4.97802</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2000-01-13</th>\n",
" <td>5.0900</td>\n",
" <td>3.09611</td>\n",
" <td>4.94895</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2000-01-12</th>\n",
" <td>5.1450</td>\n",
" <td>3.12386</td>\n",
" <td>4.99386</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2000-01-11</th>\n",
" <td>5.1550</td>\n",
" <td>3.13755</td>\n",
" <td>5.00729</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2000-01-10</th>\n",
" <td>5.1450</td>\n",
" <td>3.14390</td>\n",
" <td>5.03178</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2000-01-07</th>\n",
" <td>5.1350</td>\n",
" <td>3.12158</td>\n",
" <td>4.99028</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2000-01-06</th>\n",
" <td>5.1400</td>\n",
" <td>3.11515</td>\n",
" <td>4.94231</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2000-01-05</th>\n",
" <td>5.2850</td>\n",
" <td>3.22354</td>\n",
" <td>5.10135</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2000-01-04</th>\n",
" <td>5.3025</td>\n",
" <td>3.23225</td>\n",
" <td>5.13808</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" USD GBP EURO\n",
"Date \n",
"2000-01-17 5.1250 3.13647 5.07175\n",
"2000-01-14 5.0950 3.09915 4.97802\n",
"2000-01-13 5.0900 3.09611 4.94895\n",
"2000-01-12 5.1450 3.12386 4.99386\n",
"2000-01-11 5.1550 3.13755 5.00729\n",
"2000-01-10 5.1450 3.14390 5.03178\n",
"2000-01-07 5.1350 3.12158 4.99028\n",
"2000-01-06 5.1400 3.11515 4.94231\n",
"2000-01-05 5.2850 3.22354 5.10135\n",
"2000-01-04 5.3025 3.23225 5.13808"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# 영국 은(silver)\n",
"df_silver = pdr.DataReader('LBMA/SILVER', 'quandl', start='2000-01-01')\n",
"\n",
"print('row count:', len(df_silver))\n",
"df_silver.tail(10)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7ff796b736d8>"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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ERESq4ooq9XVogOvnneqIjAc+0zaIeeqKPhjYKcxu/4x3N1f7bInUvDKEByojI2EBSprn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\nn4xgP379EBERUf3xToKogXJKKlFWacR7G5IAAAu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"text/plain": [
"<matplotlib.figure.Figure at 0x7ff796f258d0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"df_silver['USD'].plot()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# 국제 구리 가격\n",
"* 런던 금속 거래소(London Metal Exchange), 전 세계 비철금속거래의 지표\n",
"* Cash(현금가격), 3Months(3개월 선물가격), 15Months(15개월 선물가격) 등 "
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"row count: 1409\n"
]
},
{
"data": {
"text/html": [
"<div>\n",
"<style>\n",
" .dataframe thead tr:only-child th {\n",
" text-align: right;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: left;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>CashBuyer</th>\n",
" <th>CashSeller&amp;Settlement</th>\n",
" <th>3monthsBuyer</th>\n",
" <th>3monthsSeller</th>\n",
" <th>15monthsBuyer</th>\n",
" <th>15monthsSeller</th>\n",
" <th>Dec1Buyer</th>\n",
" <th>Dec1Seller</th>\n",
" <th>Dec2Buyer</th>\n",
" <th>Dec2Seller</th>\n",
" <th>Dec3Buyer</th>\n",
" <th>Dec3Seller</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",
" <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>2012-01-16</th>\n",
" <td>8020.0</td>\n",
" <td>8021.0</td>\n",
" <td>8025.0</td>\n",
" <td>8025.5</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>7990.0</td>\n",
" <td>8000.0</td>\n",
" <td>7905.0</td>\n",
" <td>7915.0</td>\n",
" <td>7820.0</td>\n",
" <td>7830.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2012-01-13</th>\n",
" <td>7965.0</td>\n",
" <td>7965.5</td>\n",
" <td>7979.0</td>\n",
" <td>7980.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>7945.0</td>\n",
" <td>7955.0</td>\n",
" <td>7845.0</td>\n",
" <td>7855.0</td>\n",
" <td>7740.0</td>\n",
" <td>7750.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2012-01-12</th>\n",
" <td>7945.5</td>\n",
" <td>7946.0</td>\n",
" <td>7960.0</td>\n",
" <td>7961.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>7915.0</td>\n",
" <td>7925.0</td>\n",
" <td>7820.0</td>\n",
" <td>7830.0</td>\n",
" <td>7715.0</td>\n",
" <td>7725.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2012-01-11</th>\n",
" <td>7689.0</td>\n",
" <td>7689.5</td>\n",
" <td>7700.0</td>\n",
" <td>7700.5</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>7650.0</td>\n",
" <td>7660.0</td>\n",
" <td>7560.0</td>\n",
" <td>7570.0</td>\n",
" <td>7470.0</td>\n",
" <td>7480.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2012-01-10</th>\n",
" <td>7640.5</td>\n",
" <td>7641.0</td>\n",
" <td>7650.0</td>\n",
" <td>7652.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>7600.0</td>\n",
" <td>7610.0</td>\n",
" <td>7525.0</td>\n",
" <td>7535.0</td>\n",
" <td>7435.0</td>\n",
" <td>7445.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2012-01-09</th>\n",
" <td>7502.5</td>\n",
" <td>7503.0</td>\n",
" <td>7507.5</td>\n",
" <td>7508.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>7475.0</td>\n",
" <td>7485.0</td>\n",
" <td>7400.0</td>\n",
" <td>7410.0</td>\n",
" <td>7315.0</td>\n",
" <td>7325.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2012-01-06</th>\n",
" <td>7514.0</td>\n",
" <td>7515.0</td>\n",
" <td>7539.0</td>\n",
" <td>7540.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>7520.0</td>\n",
" <td>7530.0</td>\n",
" <td>7450.0</td>\n",
" <td>7460.0</td>\n",
" <td>7380.0</td>\n",
" <td>7390.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2012-01-05</th>\n",
" <td>7470.0</td>\n",
" <td>7471.0</td>\n",
" <td>7485.0</td>\n",
" <td>7485.5</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>7460.0</td>\n",
" <td>7470.0</td>\n",
" <td>7380.0</td>\n",
" <td>7390.0</td>\n",
" <td>7300.0</td>\n",
" <td>7310.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2012-01-04</th>\n",
" <td>7651.5</td>\n",
" <td>7652.0</td>\n",
" <td>7665.0</td>\n",
" <td>7665.5</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>7620.0</td>\n",
" <td>7630.0</td>\n",
" <td>7530.0</td>\n",
" <td>7540.0</td>\n",
" <td>7440.0</td>\n",
" <td>7450.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2012-01-03</th>\n",
" <td>7660.0</td>\n",
" <td>7661.0</td>\n",
" <td>7679.5</td>\n",
" <td>7680.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>7640.0</td>\n",
" <td>7650.0</td>\n",
" <td>7560.0</td>\n",
" <td>7570.0</td>\n",
" <td>7470.0</td>\n",
" <td>7480.0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" CashBuyer CashSeller&Settlement 3monthsBuyer 3monthsSeller \\\n",
"Date \n",
"2012-01-16 8020.0 8021.0 8025.0 8025.5 \n",
"2012-01-13 7965.0 7965.5 7979.0 7980.0 \n",
"2012-01-12 7945.5 7946.0 7960.0 7961.0 \n",
"2012-01-11 7689.0 7689.5 7700.0 7700.5 \n",
"2012-01-10 7640.5 7641.0 7650.0 7652.0 \n",
"2012-01-09 7502.5 7503.0 7507.5 7508.0 \n",
"2012-01-06 7514.0 7515.0 7539.0 7540.0 \n",
"2012-01-05 7470.0 7471.0 7485.0 7485.5 \n",
"2012-01-04 7651.5 7652.0 7665.0 7665.5 \n",
"2012-01-03 7660.0 7661.0 7679.5 7680.0 \n",
"\n",
" 15monthsBuyer 15monthsSeller Dec1Buyer Dec1Seller Dec2Buyer \\\n",
"Date \n",
"2012-01-16 NaN NaN 7990.0 8000.0 7905.0 \n",
"2012-01-13 NaN NaN 7945.0 7955.0 7845.0 \n",
"2012-01-12 NaN NaN 7915.0 7925.0 7820.0 \n",
"2012-01-11 NaN NaN 7650.0 7660.0 7560.0 \n",
"2012-01-10 NaN NaN 7600.0 7610.0 7525.0 \n",
"2012-01-09 NaN NaN 7475.0 7485.0 7400.0 \n",
"2012-01-06 NaN NaN 7520.0 7530.0 7450.0 \n",
"2012-01-05 NaN NaN 7460.0 7470.0 7380.0 \n",
"2012-01-04 NaN NaN 7620.0 7630.0 7530.0 \n",
"2012-01-03 NaN NaN 7640.0 7650.0 7560.0 \n",
"\n",
" Dec2Seller Dec3Buyer Dec3Seller \n",
"Date \n",
"2012-01-16 7915.0 7820.0 7830.0 \n",
"2012-01-13 7855.0 7740.0 7750.0 \n",
"2012-01-12 7830.0 7715.0 7725.0 \n",
"2012-01-11 7570.0 7470.0 7480.0 \n",
"2012-01-10 7535.0 7435.0 7445.0 \n",
"2012-01-09 7410.0 7315.0 7325.0 \n",
"2012-01-06 7460.0 7380.0 7390.0 \n",
"2012-01-05 7390.0 7300.0 7310.0 \n",
"2012-01-04 7540.0 7440.0 7450.0 \n",
"2012-01-03 7570.0 7470.0 7480.0 "
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# LME 구리 가격\n",
"df_copper = pdr.DataReader('LME/PR_CU', 'quandl', start='2000-01-01')\n",
"\n",
"print('row count:', len(df_copper))\n",
"df_copper.tail(10)"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7ff796cd50b8>"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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pTH1iFQAKqD60o81xOzd/RVAn0v96616ZGwVlWSEsP9rCmjVrupyK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\neqq/A1IAAAAASUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7ff796e66ac8>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"df_copper['CashSeller&Settlement'].plot()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# 국제 원유 가격\n",
"국제 원유 가격을 대표하는 3대 유종이 있으며, 생산지와 대표적인 소비지역이 다르다.\n",
"\n",
"1. 서부 텍사스 중질유 (POILWTIUSDM): 국제 원유가격을 대표 \n",
"1. 두바이유 (POILDUBUSDM): 한국이 주로 수입(국내 유가에 영향)\n",
"1. 북해 브렌트유 (POILBREUSDM): 북해에서 생산, 유럽과 아프리카에서 소비\n",
"\n",
"FRED 링크는 각각 다음과 같다.\n",
"* 서부 텍사스 중질유(WTI Crude): https://fred.stlouisfed.org/series/POILWTIUSDM\n",
"* 두바이유 (Dubai Crude): https://fred.stlouisfed.org/series/POILDUBUSDM\n",
"* 북해 브렌트유(Brent Crude): https://fred.stlouisfed.org/series/POILBREUSDM"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"row count: 210\n"
]
},
{
"data": {
"text/html": [
"<div>\n",
"<style>\n",
" .dataframe thead tr:only-child th {\n",
" text-align: right;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: left;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
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"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>POILWTIUSDM</th>\n",
" </tr>\n",
" <tr>\n",
" <th>DATE</th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>2016-09-01</th>\n",
" <td>45.167273</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2016-10-01</th>\n",
" <td>49.885238</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2016-11-01</th>\n",
" <td>45.623182</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2016-12-01</th>\n",
" <td>52.013636</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017-01-01</th>\n",
" <td>52.559545</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017-02-01</th>\n",
" <td>53.401500</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017-03-01</th>\n",
" <td>49.584783</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017-04-01</th>\n",
" <td>51.168000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017-05-01</th>\n",
" <td>48.559565</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017-06-01</th>\n",
" <td>45.167727</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" POILWTIUSDM\n",
"DATE \n",
"2016-09-01 45.167273\n",
"2016-10-01 49.885238\n",
"2016-11-01 45.623182\n",
"2016-12-01 52.013636\n",
"2017-01-01 52.559545\n",
"2017-02-01 53.401500\n",
"2017-03-01 49.584783\n",
"2017-04-01 51.168000\n",
"2017-05-01 48.559565\n",
"2017-06-01 45.167727"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# 서부 텍사스 중질유(WTI Crude), monthly\n",
"df_wt = pdr.DataReader('POILWTIUSDM', 'fred', start='2000-01-01')\n",
"\n",
"print('row count:', len(df_wt))\n",
"df_wt.tail(10)"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7ff796cdf438>"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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CCNEvtc1WkrMrWOOgpWqdpob7U9NkpbROitRHstyKRs6U1HW9PhZPCAHgUPbwm83JLK3j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\nQHBm4VApcn4lLTnC4m3KLOSVlfvxdXPgjVXpbVocy1ROV9W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"text/plain": [
"<matplotlib.figure.Figure at 0x7ff796c7d3c8>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"df_wt.columns = ['WTI Crude']\n",
"df_wt.plot()"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"row count: 210\n"
]
},
{
"data": {
"text/html": [
"<div>\n",
"<style>\n",
" .dataframe thead tr:only-child th {\n",
" text-align: right;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: left;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>POILDUBUSDM</th>\n",
" </tr>\n",
" <tr>\n",
" <th>DATE</th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>2016-09-01</th>\n",
" <td>43.817273</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2016-10-01</th>\n",
" <td>48.263333</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2016-11-01</th>\n",
" <td>43.775000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2016-12-01</th>\n",
" <td>51.762727</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017-01-01</th>\n",
" <td>53.434545</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017-02-01</th>\n",
" <td>54.171000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017-03-01</th>\n",
" <td>51.164348</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017-04-01</th>\n",
" <td>52.447500</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017-05-01</th>\n",
" <td>50.304348</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017-06-01</th>\n",
" <td>46.336818</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" POILDUBUSDM\n",
"DATE \n",
"2016-09-01 43.817273\n",
"2016-10-01 48.263333\n",
"2016-11-01 43.775000\n",
"2016-12-01 51.762727\n",
"2017-01-01 53.434545\n",
"2017-02-01 54.171000\n",
"2017-03-01 51.164348\n",
"2017-04-01 52.447500\n",
"2017-05-01 50.304348\n",
"2017-06-01 46.336818"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# 두바이유 (Dubai Crude), monthly\n",
"df_du = pdr.DataReader('POILDUBUSDM', 'fred', start='2000-01-01')\n",
"\n",
"print('row count:', len(df_du))\n",
"df_du.tail(10)"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7ff796c6ea20>"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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w2BTldU2cLK9n1fJZHlHUw9/HixtmxPHyN8fJrajvt0vvhPP1dk9O5CmJSyHQ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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7ff796c7d5c0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"df_du.columns = [' Dubai Crude']\n",
"df_du.plot()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# 두 가지 이상의 유가 보기\n",
"\n",
"DataReader 함수의 항목을 리스트로 전달하면, 한번에 여러 항목의 데이터를 가져올 수 있다"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"row count: 210\n"
]
},
{
"data": {
"text/html": [
"<div>\n",
"<style>\n",
" .dataframe thead tr:only-child th {\n",
" text-align: right;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: left;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>POILDUBUSDM</th>\n",
" <th>POILWTIUSDM</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>2016-09-01</th>\n",
" <td>43.817273</td>\n",
" <td>45.167273</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2016-10-01</th>\n",
" <td>48.263333</td>\n",
" <td>49.885238</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2016-11-01</th>\n",
" <td>43.775000</td>\n",
" <td>45.623182</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2016-12-01</th>\n",
" <td>51.762727</td>\n",
" <td>52.013636</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017-01-01</th>\n",
" <td>53.434545</td>\n",
" <td>52.559545</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017-02-01</th>\n",
" <td>54.171000</td>\n",
" <td>53.401500</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017-03-01</th>\n",
" <td>51.164348</td>\n",
" <td>49.584783</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017-04-01</th>\n",
" <td>52.447500</td>\n",
" <td>51.168000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017-05-01</th>\n",
" <td>50.304348</td>\n",
" <td>48.559565</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017-06-01</th>\n",
" <td>46.336818</td>\n",
" <td>45.167727</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" POILDUBUSDM POILWTIUSDM\n",
"DATE \n",
"2016-09-01 43.817273 45.167273\n",
"2016-10-01 48.263333 49.885238\n",
"2016-11-01 43.775000 45.623182\n",
"2016-12-01 51.762727 52.013636\n",
"2017-01-01 53.434545 52.559545\n",
"2017-02-01 54.171000 53.401500\n",
"2017-03-01 51.164348 49.584783\n",
"2017-04-01 52.447500 51.168000\n",
"2017-05-01 50.304348 48.559565\n",
"2017-06-01 46.336818 45.167727"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# POILDUBUSDM: 두바이유\n",
"# POILWTIUSDM: 서부 텍사스 중질유\n",
"\n",
"df_oil = pdr.DataReader(['POILDUBUSDM', 'POILWTIUSDM'], 'fred', start='2000-01-01')\n",
"\n",
"print('row count:', len(df_oil))\n",
"df_oil.tail(10)"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7ff796d63160>"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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Z9WvrW85l2RWXS3pRJasjhzHcy4mPVk2moqaexf9vP2XVdbx0+3gsde181ClJ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\nRK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7ff796c19eb8>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"df_oil.plot()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# 두 가격의 차이\n",
"두 가격을 함께 놓고 보니, 두바이유와 서부 텍사스 중질유의 가격이 거의 같으나 약간 차이가 있다. \n",
"\n",
"차이를 구해서 상세하게 살펴보자"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style>\n",
" .dataframe thead tr:only-child th {\n",
" text-align: right;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: left;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>POILDUBUSDM</th>\n",
" <th>POILWTIUSDM</th>\n",
" <th>diff</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>2016-09-01</th>\n",
" <td>43.817273</td>\n",
" <td>45.167273</td>\n",
" <td>-1.350000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2016-10-01</th>\n",
" <td>48.263333</td>\n",
" <td>49.885238</td>\n",
" <td>-1.621905</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2016-11-01</th>\n",
" <td>43.775000</td>\n",
" <td>45.623182</td>\n",
" <td>-1.848182</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2016-12-01</th>\n",
" <td>51.762727</td>\n",
" <td>52.013636</td>\n",
" <td>-0.250909</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017-01-01</th>\n",
" <td>53.434545</td>\n",
" <td>52.559545</td>\n",
" <td>0.875000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017-02-01</th>\n",
" <td>54.171000</td>\n",
" <td>53.401500</td>\n",
" <td>0.769500</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017-03-01</th>\n",
" <td>51.164348</td>\n",
" <td>49.584783</td>\n",
" <td>1.579565</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017-04-01</th>\n",
" <td>52.447500</td>\n",
" <td>51.168000</td>\n",
" <td>1.279500</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017-05-01</th>\n",
" <td>50.304348</td>\n",
" <td>48.559565</td>\n",
" <td>1.744783</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017-06-01</th>\n",
" <td>46.336818</td>\n",
" <td>45.167727</td>\n",
" <td>1.169091</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" POILDUBUSDM POILWTIUSDM diff\n",
"DATE \n",
"2016-09-01 43.817273 45.167273 -1.350000\n",
"2016-10-01 48.263333 49.885238 -1.621905\n",
"2016-11-01 43.775000 45.623182 -1.848182\n",
"2016-12-01 51.762727 52.013636 -0.250909\n",
"2017-01-01 53.434545 52.559545 0.875000\n",
"2017-02-01 54.171000 53.401500 0.769500\n",
"2017-03-01 51.164348 49.584783 1.579565\n",
"2017-04-01 52.447500 51.168000 1.279500\n",
"2017-05-01 50.304348 48.559565 1.744783\n",
"2017-06-01 46.336818 45.167727 1.169091"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df_oil['diff'] = df_oil['POILDUBUSDM'] - df_oil['POILWTIUSDM']\n",
"df_oil.tail(10)"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7ff791329128>"
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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bbxyv4ZalyeTNi8Og09gjS9mmJQl2hBBCCDEh/cvYTBcyOxGhAUSGBgyqxNXU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\nsiOEEEIIIYTwSP8faix1JOk2emMAAAAASUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7ff796bfcbe0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"df_oil['diff'].plot()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"가격의 차이를 좀 더 분명하게 표현해 보자. 0을 기준으로 낮으면 파란색, 높으면 빨간색으로 표시한다."
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.collections.PolyCollection at 0x7ff79114bef0>"
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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iWgN6cLKjLUxwlZcXE7y8AJjt50f00aNcunTJzNGJzpJkRwghhBB6KSgowNXO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\nygAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7ff791232e80>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"ax = df_oil['diff'].plot(color='k')\n",
"\n",
"x = df_oil.index\n",
"y = df_oil['diff']\n",
"\n",
"ax.fill_between(x, 0, y, where=y > 0, facecolor='r', alpha=0.6, interpolate=True)\n",
"ax.fill_between(x, 0, y, where=y <= 0, facecolor='b', alpha=0.6, interpolate=True)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### 2017 http://fb.com/financedata"
]
}
],
"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": "3.5.2"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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