{"id":28999,"date":"2024-10-27T16:16:16","date_gmt":"2024-10-27T16:16:16","guid":{"rendered":"http:\/\/atmokpo.com\/w\/?p=28999"},"modified":"2024-11-26T06:55:32","modified_gmt":"2024-11-26T06:55:32","slug":"%eb%a8%b8%ec%8b%a0%eb%9f%ac%eb%8b%9d-%eb%b0%8f-%eb%94%a5%eb%9f%ac%eb%8b%9d-%ec%95%8c%ea%b3%a0%eb%a6%ac%ec%a6%98-%ed%8a%b8%eb%a0%88%ec%9d%b4%eb%94%a9-%eb%aa%a8%eb%a9%98%ed%85%80-%ec%a7%80%ed%91%9c","status":"publish","type":"post","link":"https:\/\/atmokpo.com\/w\/28999\/","title":{"rendered":"\uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub525\ub7ec\ub2dd \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529, \ubaa8\uba58\ud140 \uc9c0\ud45c"},"content":{"rendered":"

<\/p>\n

\n \ucd5c\uadfc \uba87 \ub144 \ub3d9\uc548, \uae08\uc735 \uc2dc\uc7a5\uc758 \uac70\ub798 \uc804\ub7b5\uc740 \uc77c\ubc18\uc801\uc73c\ub85c \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc73c\ub85c \uc9d1\uc911\ub418\uace0 \uc788\uc2b5\ub2c8\ub2e4.
\n \uc774\ub7ec\ud55c \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc758 \ud575\uc2ec\uc5d0\ub294 \uba38\uc2e0\ub7ec\ub2dd\uacfc \ub525\ub7ec\ub2dd \uac19\uc740 \ud601\uc2e0\uc801\uc778 \uae30\uc220\uc774 \uc790\ub9ac \uc7a1\uace0 \uc788\uc2b5\ub2c8\ub2e4.
\n \uc774 \uae00\uc5d0\uc11c\ub294 \uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub525\ub7ec\ub2dd\uc744 \ud65c\uc6a9\ud55c \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc5d0 \ub300\ud574 \ub2e4\ub8e8\uba70,
\n \ud2b9\ud788 \ubaa8\uba58\ud140 \uc9c0\ud45c\uc5d0 \ub300\ud55c \ud65c\uc6a9 \ubc29\uc548\uc744 \uc2ec\ub3c4 \uc788\uac8c \uc0b4\ud3b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4.\n<\/p>\n

1. \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc758 \uae30\ubcf8 \uac1c\ub150<\/h2>\n

\n \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc774\ub780 \uc815\ud574\uc9c4 \uc870\uac74\uc5d0 \ub530\ub77c \uc790\ub3d9\uc73c\ub85c \uac70\ub798\ub97c \uc2e4\ud589\ud558\ub294 \uc2dc\uc2a4\ud15c\uc744 \uc758\ubbf8\ud569\ub2c8\ub2e4.
\n \uc774\ub7ec\ud55c \uc2dc\uc2a4\ud15c\uc740 \ub9c8\ucf13 \ub370\uc774\ud130 \ubd84\uc11d, \ub9e4\ub9e4 \uc2e0\ud638 \uc0dd\uc131, \uc8fc\ubb38 \uc2e4\ud589 \ub4f1\uc758 \uacfc\uc815\uc744 \ud3ec\ud568\ud569\ub2c8\ub2e4.
\n \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc758 \uc774\uc810\uc740 \uac70\ub798\uc758 \uc77c\uad00\uc131\uacfc \uc131\uacfc \uac1c\uc120, \uac10\uc815\uc801 \uc694\uc778\uc758 \ubc30\uc81c\ub97c \ub4e4 \uc218 \uc788\uc2b5\ub2c8\ub2e4.\n<\/p>\n

2. \uba38\uc2e0\ub7ec\ub2dd\uacfc \ub525\ub7ec\ub2dd\uc758 \uae30\ucd08<\/h2>\n

\n \uba38\uc2e0\ub7ec\ub2dd\uc740 \uc8fc\uc5b4\uc9c4 \ub370\uc774\ud130\ub85c\ubd80\ud130 \ud328\ud134\uc744 \ud559\uc2b5\ud558\uc5ec \uc608\uce21\uc744 \uc218\ud589\ud558\ub294 \uae30\uc220\uc785\ub2c8\ub2e4.
\n \uae30\ubcf8\uc801\uc73c\ub85c \ub370\uc774\ud130\ub97c \ud2b9\uc9d5(feature)\uc73c\ub85c \ubcc0\ud658\ud558\uace0, \uc774 \ud2b9\uc9d5\uc744 \ubc14\ud0d5\uc73c\ub85c \ubaa8\ub378\uc744 \uad6c\ucd95\ud558\uc5ec \uc608\uce21\ud558\uac70\ub098 \ubd84\ub958\ud558\ub294 \uc791\uc5c5\uc744 \uc218\ud589\ud569\ub2c8\ub2e4.\n<\/p>\n

\n \ub525\ub7ec\ub2dd\uc740 \uba38\uc2e0\ub7ec\ub2dd\uc758 \ud55c \ubd84\uc57c\ub85c, \uc778\uacf5\uc2e0\uacbd\ub9dd\uc744 \ud65c\uc6a9\ud558\uc5ec \ubcf4\ub2e4 \ubcf5\uc7a1\ud55c \ub370\uc774\ud130 \uad6c\uc870\ub97c \ud559\uc2b5\ud569\ub2c8\ub2e4.
\n \ud2b9\ud788 \uc774\ubbf8\uc9c0, \ud14d\uc2a4\ud2b8\uc640 \uac19\uc740 \ube44\uc815\ud615 \ub370\uc774\ud130 \ubd84\uc11d\uc5d0 \uac15\ub825\ud55c \uc131\ub2a5\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.\n<\/p>\n

3. \ubaa8\uba58\ud140 \uc9c0\ud45c\ub780?<\/h2>\n

\n \ubaa8\uba58\ud140 \uc9c0\ud45c\ub294 \uc790\uc0b0 \uac00\uaca9\uc758 \uc9c0\uc18d\ub418\ub294 \ucd94\uc138\ub97c \ubd84\uc11d\ud558\uc5ec \ud5a5\ud6c4 \uac00\uaca9 \uc6c0\uc9c1\uc784\uc744 \uc608\uce21\ud558\ub294\ub370 \uc0ac\uc6a9\ub418\ub294 \uae30\uc220\uc801 \uc9c0\ud45c\uc785\ub2c8\ub2e4.
\n \ubaa8\uba58\ud140\uc740 “\uac00\uaca9 \uc6c0\uc9c1\uc784\uc774 \uacc4\uc18d\ub420 \uac83”\uc774\ub77c\ub294 \uac00\uc815\uc5d0 \uae30\ubc18\ud558\uba70, \uc77c\ubc18\uc801\uc73c\ub85c \ub9e4\ub9e4 \uc2e0\ud638\ub97c \ubc1c\uc0dd\uc2dc\ud0a4\ub294 \ub370 \ub110\ub9ac \uc0ac\uc6a9\ub429\ub2c8\ub2e4.\n<\/p>\n

\n \ub300\ud45c\uc801\uc778 \ubaa8\uba58\ud140 \uc9c0\ud45c\ub85c\ub294 \uc0c1\ub300 \uac15\ub3c4 \uc9c0\uc218(RSI), \uc2a4\ud1a0\uce90\uc2a4\ud2f1 \uc624\uc2e4\ub808\uc774\ud130(Stochastic Oscillator) \ub4f1\uc758 \uc5ec\ub7ec \ud615\ud0dc\uac00 \uc788\uc2b5\ub2c8\ub2e4.
\n \uc774\ub7ec\ud55c \uc9c0\ud45c\ub294 \uc77c\ubc18\uc801\uc73c\ub85c \uacfc\ub9e4\ub3c4 \ud639\uc740 \uacfc\ub9e4\uc218 \uc0c1\ud0dc\ub97c \ud310\ub2e8\ud558\ub294 \ub370 \ub3c4\uc6c0\uc744 \uc90d\ub2c8\ub2e4.\n<\/p>\n

3.1. \uc0c1\ub300 \uac15\ub3c4 \uc9c0\uc218 (RSI)<\/h3>\n

\n RSI\ub294 \uac00\uaca9\uc758 \ucd5c\uadfc \uc0c1\uc2b9\uacfc \ud558\ub77d\uc744 \ube44\uad50\ud558\uc5ec 0\uacfc 100 \uc0ac\uc774\uc758 \uac12\uc744 \uc0dd\uc131\ud569\ub2c8\ub2e4.
\n \uc77c\ubc18\uc801\uc73c\ub85c 70 \uc774\uc0c1\uc740 \uacfc\ub9e4\uc218, 30 \uc774\ud558\ub294 \uacfc\ub9e4\ub3c4\ub85c \ud310\ub2e8\ud558\uc5ec \ub9e4\ub9e4 \uc2e0\ud638\ub97c \uc81c\uacf5\ud55c\ub2e4\uace0 \uc54c\ub824\uc838 \uc788\uc2b5\ub2c8\ub2e4.\n<\/p>\n

3.2. \uc2a4\ud1a0\uce90\uc2a4\ud2f1 \uc624\uc2e4\ub808\uc774\ud130<\/h3>\n

\n \uc2a4\ud1a0\uce90\uc2a4\ud2f1 \uc624\uc2e4\ub808\uc774\ud130\ub294 \ud604\uc7ac \uac00\uaca9\uc744 \ud2b9\uc815 \uae30\uac04 \ub3d9\uc548\uc758 \uac00\uaca9 \ubc94\uc704\uc640 \ube44\uad50\ud558\uc5ec \ube44\uc728\ub85c \ub098\ud0c0\ub0b4\uba70,
\n 0\uc5d0\uc11c 100 \uc0ac\uc774\uc758 \uac12\uc744 \uac00\uc9d1\ub2c8\ub2e4. \ub9c8\ucc2c\uac00\uc9c0\ub85c, 80 \uc774\uc0c1\uc740 \uacfc\ub9e4\uc218, 20 \uc774\ud558\ub294 \uacfc\ub9e4\uc218\ub85c \ud574\uc11d\ud569\ub2c8\ub2e4.\n<\/p>\n

4. \uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub525\ub7ec\ub2dd\uc744 \ud65c\uc6a9\ud55c \ubaa8\uba58\ud140 \uac70\ub798 \uc804\ub7b5<\/h2>\n

\n \uba38\uc2e0\ub7ec\ub2dd\uacfc \ub525\ub7ec\ub2dd\uc744 \ud65c\uc6a9\ud558\uc5ec \ubaa8\uba58\ud140 \uac70\ub798 \uc804\ub7b5\uc744 \uad6c\ucd95\ud558\ub294 \ubc29\ubc95\uc740 \ub2e4\uc591\ud569\ub2c8\ub2e4.
\n \uc774 \uc808\uc5d0\uc11c\ub294 \uc774\ub7ec\ud55c \uae30\uc220\ub4e4\uc744 \ud65c\uc6a9\ud55c \uac70\ub798 \uc804\ub7b5 \uac1c\ubc1c \uacfc\uc815\uc744 \ub2e8\uacc4\ubcc4\ub85c \uc0b4\ud3b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4.\n<\/p>\n

4.1. \ub370\uc774\ud130 \uc218\uc9d1<\/h3>\n

\n \uc88b\uc740 \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529 \uc804\ub7b5\uc744 \ub9cc\ub4e4\uae30 \uc704\ud574\uc11c\ub294 \uc6b0\uc120\uc801\uc73c\ub85c \uace0\ud488\uc9c8\uc758 \ub370\uc774\ud130\uac00 \ud544\uc694\ud569\ub2c8\ub2e4.
\n \uae08\uc735 \ub370\uc774\ud130\ub97c \uc218\uc9d1\ud558\uae30 \uc704\ud574\uc11c \uc5ec\ub7ec \uacf5\uae09\uc790\uac00 \uc788\uc73c\uba70, Yahoo Finance, Alpha Vantage, Quandl \ub4f1\uc5d0\uc11c \ub370\uc774\ud130\ub97c \uc5bb\uc744 \uc218 \uc788\uc2b5\ub2c8\ub2e4.\n<\/p>\n

import pandas as pd\nimport yfinance as yf\n\n# \ub370\uc774\ud130 \uc218\uc9d1 \uc608\uc2dc: S&P 500\uc758 \uc9c0\ub09c 5\ub144\uac04\uc758 \uc77c\ubcc4 \ub370\uc774\ud130\ndata = yf.download('^GSPC', start='2018-01-01', end='2023-01-01', interval='1d')\ndata.head()<\/code><\/pre>\n
4.2. \ub370\uc774\ud130 \uc804\ucc98\ub9ac<\/h3>\n
\n    \uc218\uc9d1\ub41c \ub370\uc774\ud130\ub294 \uc885\uc885 \uacb0\uce21\uce58, \uc774\uc0c1\uce58 \ubc0f \ub2e4\ub978 \ubd88\ud544\uc694\ud55c \uc694\uc18c\ub97c \ud3ec\ud568\ud560 \uc218 \uc788\uae30 \ub54c\ubb38\uc5d0 \uc804\ucc98\ub9ac \uacfc\uc815\uc774 \ud544\uc694\ud569\ub2c8\ub2e4.
\n    \ud574\ub2f9 \uacfc\uc815\uc5d0\ub294 \uacb0\uce21\uce58 \ucc98\ub9ac, \ubcc0\ub3d9\uc131 \uc870\uc815, \uc9c0\ud45c \uacc4\uc0b0\uc774 \ud3ec\ud568\ub429\ub2c8\ub2e4.\n<\/p>\n
# \uacb0\uce21\uce58 \ucc98\ub9ac \uc608\uc2dc\ndata.fillna(method='ffill', inplace=True)\n\n# \ubaa8\uba58\ud140 \uc9c0\ud45c \uacc4\uc0b0 (RSI \uc608\uc2dc)\ndef compute_RSI(data, period=14):\n    delta = data['Close'].diff()\n    gain = (delta.where(delta > 0, 0)).rolling(window=period).mean()\n    loss = (-delta.where(delta < 0, 0)).rolling(window=period).mean()\n    RS = gain \/ loss\n    RSI = 100 - (100 \/ (1 + RS))\n    return RSI\n\ndata['RSI'] = compute_RSI(data)<\/code><\/pre>\n
4.3. \ud2b9\uc9d5 \uc120\ud0dd<\/h3>\n
\n    \ub2e4\uc74c \ub2e8\uacc4\ub294 \uba38\uc2e0\ub7ec\ub2dd \ubaa8\ub378 \ud6c8\ub828\uc5d0 \uc0ac\uc6a9\ud560 \ud2b9\uc9d5\uc744 \uc120\ud0dd\ud558\ub294 \uac83\uc785\ub2c8\ub2e4.
\n    \ubaa8\uba58\ud140 \uc9c0\ud45c \uc678\uc5d0\ub3c4 \uc774\ub3d9 \ud3c9\uade0, \uac70\ub798\ub7c9, \ubcc0\ub3d9\uc131 \uc9c0\ud45c \ub4f1 \ucd94\uac00\uc801\uc778 \ud2b9\uc9d5\uc744 \ud3ec\ud568\uc2dc\ud0ac \uc218 \uc788\uc2b5\ub2c8\ub2e4.\n<\/p>\n
4.4. \ubaa8\ub378 \uc120\ud0dd<\/h3>\n
\n    \uba38\uc2e0\ub7ec\ub2dd\uc5d0\uc11c \uc0ac\uc6a9\ud560 \uc218 \uc788\ub294 \ub2e4\uc591\ud55c \ubaa8\ub378\uc774 \uc788\uc73c\uba70, \uc120\ud615 \ud68c\uadc0, \uacb0\uc815\ud2b8\ub9ac, \ub79c\ub364 \ud3ec\ub808\uc2a4\ud2b8, XGBoost, \uc2ec\uc9c0\uc5b4 \ub525\ub7ec\ub2dd \ubaa8\ub378\ub3c4 \ud3ec\ud568\ub429\ub2c8\ub2e4.
\n    \uac01 \ubaa8\ub378\uc758 \uc7a5\ub2e8\uc810\uc744 \ud30c\uc545\ud55c \ub4a4, \ubaa9\ud45c\uc5d0 \ub9de\ub294 \ubaa8\ub378\uc744 \uc120\ud0dd\ud574\uc57c \ud569\ub2c8\ub2e4.\n<\/p>\n
from sklearn.model_selection import train_test_split\nfrom sklearn.ensemble import RandomForestClassifier\n\n# \ud6c8\ub828 \ub370\uc774\ud130\uc640 \ud14c\uc2a4\ud2b8 \ub370\uc774\ud130 \ubd84\ud560\nfeatures = data[['RSI', 'Volume']]\ntarget = (data['Close'].shift(-1) > data['Close']).astype(int)  # \ub2e4\uc74c \ub0a0 \uc0c1\uc2b9 \uc5ec\ubd80\ub97c \ubaa9\ud45c\ub85c \uc124\uc815\nX_train, X_test, y_train, y_test = train_test_split(features, target, test_size=0.2, random_state=42)\n\n# \ubaa8\ub378 \ud6c8\ub828\nmodel = RandomForestClassifier(n_estimators=100)\nmodel.fit(X_train, y_train)<\/code><\/pre>\n
4.5. \uc131\ub2a5 \ud3c9\uac00<\/h3>\n
\n    \ud6c8\ub828\ub41c \ubaa8\ub378\uc758 \uc131\ub2a5\uc744 \ud3c9\uac00\ud558\uae30 \uc704\ud574\uc11c\ub294 \uc77c\ubc18\uc801\uc73c\ub85c \ud63c\ub3d9 \ud589\ub82c, \uc815\ubc00\ub3c4, \uc7ac\ud604\uc728, F1 \uc810\uc218\ub97c \ud65c\uc6a9\ud569\ub2c8\ub2e4.
\n    \uc774\ub7ec\ud55c \uc9c0\ud45c\ub97c \ud1b5\ud574 \ubaa8\ub378\uc758 \uc608\uce21\ub825\uc744 \ud655\uc778\ud558\uace0, \ubaa8\ub378\uc744 \uac1c\uc120\ud560 \uc218 \uc788\ub294 \ubc29\uc548\uc744 \ubaa8\uc0c9\ud569\ub2c8\ub2e4.\n<\/p>\n
from sklearn.metrics import classification_report\n\n# \uc608\uce21 \ubc0f \ubcf4\uace0\uc11c \ucd9c\ub825\ny_pred = model.predict(X_test)\nprint(classification_report(y_test, y_pred))<\/code><\/pre>\n
4.6. \ub9e4\ub9e4 \uc2e0\ud638 \uc0dd\uc131<\/h3>\n
\n    \ubaa8\ub378\uc774 \ud6c8\ub828\ub418\uc5b4 \ub098\uba74, \uc2e4\uc81c \ub9e4\ub9e4 \uc2e0\ud638\ub97c \uc0dd\uc131\ud558\ub294 \ub2e8\uacc4\ub85c \ub118\uc5b4\uac11\ub2c8\ub2e4.
\n    \ubaa8\ub378\uc758 \ucd9c\ub825\uc744 \uae30\ubc18\uc73c\ub85c \ub9e4\uc218, \ub9e4\ub3c4 \uc2e0\ud638\ub97c \uc0dd\uc131\ud558\uace0 \uc774\ub97c \ud65c\uc6a9\ud558\uc5ec \uc804\ub7b5\uc744 \uc218\ud589\ud569\ub2c8\ub2e4.\n<\/p>\n
# \ub9e4\ub9e4 \uc2e0\ud638 \uc0dd\uc131\ndata['Signal'] = model.predict(features)\ndata['Position'] = data['Signal'].shift()  # \uc2dc\uc810 \uc774\ub3d9\n<\/code><\/pre>\n
5. \uc804\ub7b5 \uac1c\uc120 \ubc0f \ucd5c\uc801\ud654<\/h2>\n
\n    \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529 \uc804\ub7b5\uc740 \uace0\uc815\ub41c \uac83\uc774 \uc544\ub2c8\uba70, \uc9c0\uc18d\uc801\uc73c\ub85c \uac1c\uc120\ub418\uace0 \ucd5c\uc801\ud654\ub418\uc5b4\uc57c \ud569\ub2c8\ub2e4.
\n    \ub530\ub77c\uc11c \ud30c\ub77c\ubbf8\ud130 \ud29c\ub2dd, \uad50\ucc28 \uac80\uc99d, \uc559\uc0c1\ube14 \uae30\ubc95 \ub4f1\uc744 \ud65c\uc6a9\ud558\uc5ec \uc804\ub7b5\uc758 \uc131\ub2a5\uc744 \ub192\uc774\ub294 \uac83\uc774 \uc911\uc694\ud569\ub2c8\ub2e4.\n<\/p>\n
5.1. \ud30c\ub77c\ubbf8\ud130 \ud29c\ub2dd<\/h3>\n
\n    \ubaa8\ub378\uc758 \ud558\uc774\ud37c\ud30c\ub77c\ubbf8\ud130\ub97c \uc870\uc815\ud558\uc5ec \uc131\ub2a5\uc744 \uadf9\ub300\ud654\ud558\ub294 \uacfc\uc815\uc744 \ud30c\ub77c\ubbf8\ud130 \ud29c\ub2dd\uc774\ub77c\uace0 \ud569\ub2c8\ub2e4.
\n    Grid Search, Random Search \uae30\ubc95 \ub4f1\uc774 \ub110\ub9ac \uc0ac\uc6a9\ub429\ub2c8\ub2e4.\n<\/p>\n
5.2. \uad50\ucc28 \uac80\uc99d<\/h3>\n
\n    \uad50\ucc28 \uac80\uc99d\uc740 \ub370\uc774\ud130\uc14b\uc744 \uc5ec\ub7ec \ud558\uc704 \uc9d1\ud569\uc73c\ub85c \ub098\ub204\uc5b4 \ubaa8\ub378\uc744 \ud3c9\uac00\ud558\uace0,
\n    \ud574\ub2f9 \ud3c9\uac00\ub97c \ud1b5\ud558\uc5ec \ubaa8\ub378\uc758 \uc77c\ubc18\ud654 \uc131\ub2a5\uc744 \uadf9\ub300\ud654\ud558\ub294 \ubc29\ubc95\uc785\ub2c8\ub2e4.\n<\/p>\n
5.3. \uc559\uc0c1\ube14 \uae30\ubc95<\/h3>\n
\n    \uc5ec\ub7ec \ubaa8\ub378\uc758 \uc608\uce21\uc744 \uacb0\ud569\ud558\uc5ec \ucd5c\uc2e0 \uc131\ub2a5\uc744 \ub04c\uc5b4\uc62c\ub9ac\ub294 \uc559\uc0c1\ube14 \uae30\ubc95\uc740 \ud2b9\ud788 \uae08\uc735 \uc2dc\uc7a5\uc758 \ubd88\ud655\uc2e4\uc131\uc774 \ud06c\uae30 \ub54c\ubb38\uc5d0 \ud6a8\uacfc\uc801\uc778 \ubc29\ubc95\uc785\ub2c8\ub2e4.\n<\/p>\n
6. \uacb0\ub860<\/h2>\n
\n    \uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub525\ub7ec\ub2dd\uc744 \ud65c\uc6a9\ud55c \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc740 \ud22c\uc790\uc790\uc5d0\uac8c \uac15\ub825\ud55c \ub3c4\uad6c\uac00 \ub420 \uc218 \uc788\uc2b5\ub2c8\ub2e4.
\n    \ud2b9\ud788 \ubaa8\uba58\ud140 \uc9c0\ud45c\ub97c \ud65c\uc6a9\ud55c \uc804\ub7b5\uc740 \uc785\uc99d\ub41c \uc131\uacfc\ub97c \ubcf4\uc5ec\uc8fc\uace0 \uc788\uc73c\uba70,
\n    \uc9c0\uc18d\uc801\uc778 \uc5f0\uad6c\uc640 \uac1c\uc120\uc744 \ud1b5\ud574 \ub354\uc6b1 \ubc1c\uc804\ud560 \uc218 \uc788\ub294 \uac00\ub2a5\uc131\uc744 \ubcf4\uc785\ub2c8\ub2e4.\n<\/p>\n
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