\ub9e4\ub9e4 \uc2e4\ud589:<\/strong> \uc2e4\uc81c \uac70\ub798\ub97c \uc218\ud589\ud569\ub2c8\ub2e4.<\/li>\n<\/ul>\n1.2 \uc120\ud615 \ud68c\uadc0 \ubd84\uc11d\uc758 \uae30\ubcf8 \uac1c\ub150<\/h3>\n
\uc120\ud615 \ud68c\uadc0\ub294 \uba38\uc2e0\ub7ec\ub2dd\uc5d0\uc11c \uac00\uc7a5 \uae30\ubcf8\uc801\uc774\uba70 \ub110\ub9ac \uc0ac\uc6a9\ub418\ub294 \ubaa8\ub378 \uc911 \ud558\ub098\uc785\ub2c8\ub2e4. \uc774\ub294 \ubcc0\uc218 \uac04\uc758 \uad00\uacc4\ub97c \uc120\ud615 \ud568\uc218\ub85c \ud45c\ud604\ud558\uc5ec \uc608\uce21 \ubb38\uc81c\ub97c \ud574\uacb0\ud569\ub2c8\ub2e4. \uc218\uc775\ub960 \uc608\uce21\uc5d0 \uc788\uc5b4 \uc120\ud615 \ud68c\uadc0\ub294 \ub2e4\uc74c\uacfc \uac19\uc740 \ud615\ud0dc\ub85c \ud45c\ud604\ub429\ub2c8\ub2e4:<\/p>\n
Y = \u03b20 + \u03b21X1 + \u03b22X2 + ... + \u03b2nXn + \u03b5<\/code><\/pre>\n\uc5ec\uae30\uc11c Y<\/code>\ub294 \uc885\uc18d \ubcc0\uc218(\uc608: \uc8fc\uc2dd \uc218\uc775\ub960), X1, X2, ..., Xn<\/code>\uc740 \ub3c5\ub9bd \ubcc0\uc218(\uc608: \uacbd\uc81c \uc9c0\ud45c, \uae30\uc220\uc801 \uc9c0\ud45c \ub4f1), \u03b20<\/code>\ub294 \uc808\ud3b8, \u03b21, \u03b22, ..., \u03b2n<\/code>\uc740 \ud68c\uadc0 \uacc4\uc218, \u03b5<\/code>\ub294 \uc624\ucc28 \ud56d\uc744 \ub098\ud0c0\ub0c5\ub2c8\ub2e4.<\/p>\n2. \uc8fc\uc2dd \uc218\uc775\ub960 \uc608\uce21\uc744 \uc704\ud55c \ub370\uc774\ud130 \uc218\uc9d1 \ubc0f \uc804\ucc98\ub9ac<\/h2>\n2.1 \ub370\uc774\ud130 \uc218\uc9d1<\/h3>\n
\uc8fc\uc2dd\uc758 \uc218\uc775\ub960\uc744 \uc608\uce21\ud558\uae30 \uc704\ud574\uc11c\ub294 \ub2e4\uc591\ud55c \ub370\uc774\ud130 \uc18c\uc2a4\ub97c \ud65c\uc6a9\ud558\uc5ec \ud544\uc694\ud55c \ub370\uc774\ud130\ub97c \uc218\uc9d1\ud574\uc57c \ud569\ub2c8\ub2e4. \uc5ec\uae30\uc11c\ub294 Yahoo Finance API\ub97c \uc774\uc6a9\ud558\uc5ec \uc8fc\uc2dd \uac00\uaca9 \ub370\uc774\ud130\ub97c \uc218\uc9d1\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud558\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n
import pandas as pd\nimport yfinance as yf\n\n# \uc8fc\uc2dd \ub370\uc774\ud130 \ub2e4\uc6b4\ub85c\ub4dc\nticker = 'AAPL'\ndata = yf.download(ticker, start='2010-01-01', end='2023-12-31')\n<\/code><\/pre>\n2.2 \ub370\uc774\ud130 \uc804\ucc98\ub9ac<\/h3>\n
\uc218\uc9d1\ud55c \ub370\uc774\ud130\ub294 \uba38\uc2e0\ub7ec\ub2dd \ubaa8\ub378\uc5d0 \uc801\ud569\ud558\ub3c4\ub85d \uac00\uacf5\ud558\ub294 \uacfc\uc815\uc774 \ud544\uc694\ud569\ub2c8\ub2e4. \ub2e4\uc74c\uc740 \ub370\uc774\ud130 \uc804\ucc98\ub9ac\uc758 \uc8fc\uc694 \ub2e8\uacc4\uc785\ub2c8\ub2e4:<\/p>\n
\n- \uacb0\uce21\uce58 \ucc98\ub9ac:<\/strong> \uacb0\uce21\uce58\uac00 \uc788\ub294 \ud589\uc744 \uc81c\uac70\ud558\uac70\ub098 \ub300\uccb4\ud569\ub2c8\ub2e4.<\/li>\n
- \ud2b9\uc9d5 \uc0dd\uc131:<\/strong> \uc218\uc775\ub960, \uc774\ub3d9 \ud3c9\uade0, \uc0c1\ub300 \uac15\ub3c4 \uc9c0\uc218 (RSI) \ub4f1\uc758 \ucd94\uac00 \ubcc0\uc218\ub97c \uc0dd\uc131\ud569\ub2c8\ub2e4.<\/li>\n
- \uc815\uaddc\ud654:<\/strong> \ubcc0\uc218\uc758 \uac12 \ubc94\uc704\ub97c \ud1b5\uc77c\ud558\uc5ec \ubaa8\ub378\uc758 \uc218\ub834 \uc18d\ub3c4\ub97c \ub192\uc785\ub2c8\ub2e4.<\/li>\n<\/ul>\n
# \uc218\uc775\ub960 \uacc4\uc0b0\ndata['Return'] = data['Adj Close'].pct_change()\n\n# \uacb0\uce21\uce58 \ucc98\ub9ac\ndata = data.dropna()\n\n# \ud2b9\uc9d5 \uc0dd\uc131: \uc774\ub3d9 \ud3c9\uade0 \ucd94\uac00\ndata['SMA_20'] = data['Adj Close'].rolling(window=20).mean()\n<\/code><\/pre>\n3. \uc120\ud615 \ud68c\uadc0 \ubaa8\ub378 \uad6c\ucd95 \ubc0f \ud559\uc2b5<\/h2>\n3.1 \ud68c\uadc0 \ubaa8\ub378 \uc0dd\uc131<\/h3>\n
\ub370\uc774\ud130 \uc804\ucc98\ub9ac\uac00 \uc644\ub8cc\ub418\uba74, \uc774\uc81c \uc120\ud615 \ud68c\uadc0 \ubaa8\ub378\uc744 \uc0dd\uc131\ud560 \ucc28\ub840\uc785\ub2c8\ub2e4. Python\uc758 scikit-learn<\/code> \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc774\uc6a9\ud558\uc5ec \ubaa8\ub378\uc744 \uad6c\ucd95\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\nfrom sklearn.model_selection import train_test_split\nfrom sklearn.linear_model import LinearRegression\n\n# \ub3c5\ub9bd \ubcc0\uc218\uc640 \uc885\uc18d \ubcc0\uc218 \uc815\uc758\nX = data[['SMA_20']]\ny = data['Return']\n\n# \ub370\uc774\ud130 \ubd84\ud560\nX_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n\n# \ubaa8\ub378 \ucd08\uae30\ud654 \ubc0f \ud559\uc2b5\nmodel = LinearRegression()\nmodel.fit(X_train, y_train)\n<\/code><\/pre>\n3.2 \ubaa8\ub378 \ud3c9\uac00<\/h3>\n
\ubaa8\ub378\uc774 \ud559\uc2b5\ub41c \ud6c4, \ud14c\uc2a4\ud2b8 \ub370\uc774\ud130\uc14b\uc744 \uc774\uc6a9\ud558\uc5ec \ubaa8\ub378 \uc131\ub2a5\uc744 \ud3c9\uac00\ud569\ub2c8\ub2e4. \uc5ec\uae30\uc11c\ub294 \ud3c9\uade0 \uc81c\uacf1 \uc624\ucc28 (Mean Squared Error, MSE)\ub97c \uc0ac\uc6a9\ud558\uc5ec \ud3c9\uac00\ub97c \uc9c4\ud589\ud558\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n
from sklearn.metrics import mean_squared_error\n\n# \uc608\uce21 \uc218\ud589\ny_pred = model.predict(X_test)\n\n# \ud3c9\uade0 \uc81c\uacf1 \uc624\ucc28 \uacc4\uc0b0\nmse = mean_squared_error(y_test, y_pred)\nprint(f'\ud3c9\uade0 \uc81c\uacf1 \uc624\ucc28: {mse}')\n<\/code><\/pre>\n4. \ub9e4\ub9e4 \uc804\ub7b5 \uc218\ub9bd<\/h2>\n
\ud68c\uadc0 \ubaa8\ub378\uc774 \uc218\uc775\ub960 \uc608\uce21\uc5d0 \uc131\uacf5\uc801\uc73c\ub85c \uad6c\ucd95\ub418\uc5c8\ub2e4\uba74, \uc774\uc81c \uc774\ub97c \ubc14\ud0d5\uc73c\ub85c \ub9e4\ub9e4 \uc804\ub7b5\uc744 \uc218\ub9bd\ud560 \ucc28\ub840\uc785\ub2c8\ub2e4. \uc774 \ub2e8\uacc4\uc5d0\uc11c\ub294 \ub2e4\uc74c\uc758 \ub450 \uac00\uc9c0 \uc694\uc18c\ub97c \uace0\ub824\ud574\uc57c \ud569\ub2c8\ub2e4:<\/p>\n
\n- \ub9e4\uc218 \ubc0f \ub9e4\ub3c4 \uc2e0\ud638:<\/strong> \ubaa8\ub378\uc774 \uc608\uce21\ud55c \uc218\uc775\ub960\uc774 \uc591\uc218\uc77c \uacbd\uc6b0 \ub9e4\uc218, \uc74c\uc218\uc77c \uacbd\uc6b0 \ub9e4\ub3c4\uc758 \uc2e0\ud638\ub97c \uc0dd\uc131\ud569\ub2c8\ub2e4.<\/li>\n
- \ud3ec\uc9c0\uc158 \ud06c\uae30 \uc870\uc808:<\/strong> \uc608\uce21\ub41c \uc218\uc775\ub960\uc5d0 \ub530\ub77c \ub9e4\uc218 \ub610\ub294 \ub9e4\ub3c4\ud560 \uc8fc\uc2dd\uc758 \uc218\ub97c \uacb0\uc815\ud569\ub2c8\ub2e4.<\/li>\n<\/ul>\n
# \ub9e4\uc218\/\ub9e4\ub3c4 \uc2e0\ud638 \uc0dd\uc131\ndata['Signal'] = 0\ndata.loc[data['Return'] > 0, 'Signal'] = 1 # \ub9e4\uc218\ndata.loc[data['Return'] < 0, 'Signal'] = -1 # \ub9e4\ub3c4\n<\/code><\/pre>\n5. \uc218\uc775\ub960 \ud3c9\uac00 \ubc0f \ucd5c\uc801\ud654<\/h2>\n
\uc120\ud615 \ud68c\uadc0 \ubaa8\ub378\uacfc \ub9e4\ub9e4 \uc804\ub7b5\uc744 \uc124\uc815\ud55c \ud6c4, \uc774\ub97c \uae30\ubc18\uc73c\ub85c \uc2e4\uc81c \uc218\uc775\ub960\uc744 \ud3c9\uac00\ud558\uc5ec \ubaa8\ub378\uc758 \ud6a8\uc728\uc131\uc744 \uac80\ud1a0\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
# \uc218\uc775\ub960 \uacc4\uc0b0\ndata['Strategy_Return'] = data['Signal'].shift(1) * data['Return']\ncumulative_strategy_return = (1 + data['Strategy_Return']).cumprod()\n\n# \ub204\uc801 \uc218\uc775\ub960 \uc2dc\uac01\ud654\nimport matplotlib.pyplot as plt\n\nplt.figure(figsize=(12, 6))\nplt.plot(cumulative_strategy_return, label='\uc804\ub7b5 \ub204\uc801 \uc218\uc775\ub960')\nplt.title('\ub204\uc801 \uc218\uc775\ub960')\nplt.xlabel('\ub0a0\uc9dc')\nplt.ylabel('\ub204\uc801 \uc218\uc775\ub960')\nplt.legend()\nplt.show()\n<\/code><\/pre>\n6. \uacb0\ub860<\/h2>\n
\uc774\ubc88 \uac15\uc88c\uc5d0\uc11c\ub294 \uba38\uc2e0\ub7ec\ub2dd\uacfc \ub525\ub7ec\ub2dd\uc744 \ud65c\uc6a9\ud55c \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc758 \uae30\ucd08\uc640 \uc120\ud615 \ud68c\uadc0 \ubaa8\ub378\uc744 \uc774\uc6a9\ud55c \uc8fc\uc2dd \uc218\uc775\ub960 \uc608\uce21 \ubc29\ubc95\uc5d0 \ub300\ud574 \ub2e4\ub8e8\uc5c8\uc2b5\ub2c8\ub2e4. \uc218\uc775\ub960 \uc608\uce21\uc740 \ub2e4\uc591\ud55c \ubcc0\uc218\uc640 \ubcf5\uc7a1\ud55c \uad00\uacc4\uac00 \uc5bd\ud600\uc788\ub294 \uc791\uc5c5\uc774\uba70, \uc120\ud615 \ud68c\uadc0 \ubaa8\ub378\uc740 \uadf8 \uc801\ud569\uc131\uc774 \uc81c\ud55c\uc801\uc77c \uc218 \uc788\uc73c\ub098 \uae30\ubcf8\uc801\uc778 \uc774\ud574\ub97c \uc81c\uacf5\ud558\ub294 \ub370 \ub3c4\uc6c0\uc744 \uc90d\ub2c8\ub2e4.<\/p>\n
\uba38\uc2e0\ub7ec\ub2dd \ubaa8\ub378\uc744 \ud1b5\ud574 \uae08\uc735 \uc2dc\uc7a5\uc5d0\uc11c \ub354\uc6b1 \uc815\uad50\ud55c \ub9e4\ub9e4 \uc804\ub7b5\uc744 \uad6c\ucd95\ud558\uace0, \uc774\ub97c \ud1b5\ud574 \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc758 \ud6a8\uc728\uc131\uc744 \ub192\uc774\ub294 \uc5ec\ub7ec \ubc29\ubc95\uc744 \uc9c0\uc18d\uc801\uc73c\ub85c \ud0d0\uad6c\ud574\uc57c \ud569\ub2c8\ub2e4. \ucc28\ud6c4\uc5d0\ub294 \ub354 \ubcf5\uc7a1\ud55c \ubaa8\ub378\uc778 \ub525\ub7ec\ub2dd \ub610\ub294 \uc559\uc0c1\ube14 \ubaa8\ub378\uc744 \ud65c\uc6a9\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574\uc11c\ub3c4 \ub2e4\ub8e8\uc5b4 \ubcfc \uc608\uc815\uc785\ub2c8\ub2e4. \uac10\uc0ac\ud569\ub2c8\ub2e4!<\/p>\n
<\/body><\/p>\n","protected":false},"excerpt":{"rendered":"
\uc778\uacf5\uc9c0\ub2a5\uacfc \uba38\uc2e0\ub7ec\ub2dd\uc758 \ubc1c\uc804\uc740 \uae08\uc735 \uc2dc\uc7a5\uc758 \ubd84\uc11d \ubc29\ubc95\uc744 \ud601\uc2e0\uc801\uc73c\ub85c \ubcc0\ud654\uc2dc\ucf30\uc2b5\ub2c8\ub2e4. \ud2b9\ud788, \ud000\ud2b8 \ud2b8\ub808\uc774\ub529 (Quantitative Trading) \ubd84\uc57c\uc5d0\uc11c \uba38\uc2e0\ub7ec\ub2dd\uacfc \ub525\ub7ec\ub2dd \uae30\ubc95\uc740 \ub370\uc774\ud130 \uae30\ubc18\uc758 \uc758\uc0ac\uacb0\uc815\uc5d0 \ud070 \uc601\ud5a5\uc744 \ubbf8\uce58\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ubcf8 \uac15\uc88c\uc5d0\uc11c\ub294 \uba38\uc2e0\ub7ec\ub2dd\uc758 \uae30\ucd08\ubd80\ud130 \uc120\ud615 \ud68c\uadc0 \ubd84\uc11d\uc744 \ud65c\uc6a9\ud558\uc5ec \uc8fc\uc2dd\uc758 \uc218\uc775\ub960\uc744 \uc608\uce21\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc2ec\uce35\uc801\uc73c\ub85c \ub2e4\ub8e8\uaca0\uc2b5\ub2c8\ub2e4. 1. \uba38\uc2e0\ub7ec\ub2dd \ubc0f \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc758 \uc774\ud574 \uba38\uc2e0\ub7ec\ub2dd\uc740 \ub370\uc774\ud130\uc5d0\uc11c \ud328\ud134\uc744 \ud559\uc2b5\ud558\uace0 \uc608\uce21\uc744 \uc218\ud589\ud558\ub294 \ub370 \uc0ac\uc6a9\ub418\ub294 \uae30\uc220\uc785\ub2c8\ub2e4. … \ub354 \ubcf4\uae30 “\uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub525\ub7ec\ub2dd \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529, \uc120\ud615 \ud68c\uadc0\ub85c \uc218\uc775\ub960\uc744 \uc608\uce21\ud558\ub294 \ubc29\ubc95”<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[29],"tags":[],"class_list":["post-29095","post","type-post","status-publish","format-standard","hentry","category-29"],"yoast_head":"\n\uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub525\ub7ec\ub2dd \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529, \uc120\ud615 \ud68c\uadc0\ub85c \uc218\uc775\ub960\uc744 \uc608\uce21\ud558\ub294 \ubc29\ubc95 - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/atmokpo.com\/w\/29095\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub525\ub7ec\ub2dd \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529, \uc120\ud615 \ud68c\uadc0\ub85c \uc218\uc775\ub960\uc744 \uc608\uce21\ud558\ub294 \ubc29\ubc95 - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"og:description\" content=\"\uc778\uacf5\uc9c0\ub2a5\uacfc \uba38\uc2e0\ub7ec\ub2dd\uc758 \ubc1c\uc804\uc740 \uae08\uc735 \uc2dc\uc7a5\uc758 \ubd84\uc11d \ubc29\ubc95\uc744 \ud601\uc2e0\uc801\uc73c\ub85c \ubcc0\ud654\uc2dc\ucf30\uc2b5\ub2c8\ub2e4. \ud2b9\ud788, \ud000\ud2b8 \ud2b8\ub808\uc774\ub529 (Quantitative Trading) \ubd84\uc57c\uc5d0\uc11c \uba38\uc2e0\ub7ec\ub2dd\uacfc \ub525\ub7ec\ub2dd \uae30\ubc95\uc740 \ub370\uc774\ud130 \uae30\ubc18\uc758 \uc758\uc0ac\uacb0\uc815\uc5d0 \ud070 \uc601\ud5a5\uc744 \ubbf8\uce58\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ubcf8 \uac15\uc88c\uc5d0\uc11c\ub294 \uba38\uc2e0\ub7ec\ub2dd\uc758 \uae30\ucd08\ubd80\ud130 \uc120\ud615 \ud68c\uadc0 \ubd84\uc11d\uc744 \ud65c\uc6a9\ud558\uc5ec \uc8fc\uc2dd\uc758 \uc218\uc775\ub960\uc744 \uc608\uce21\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc2ec\uce35\uc801\uc73c\ub85c \ub2e4\ub8e8\uaca0\uc2b5\ub2c8\ub2e4. 1. \uba38\uc2e0\ub7ec\ub2dd \ubc0f \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc758 \uc774\ud574 \uba38\uc2e0\ub7ec\ub2dd\uc740 \ub370\uc774\ud130\uc5d0\uc11c \ud328\ud134\uc744 \ud559\uc2b5\ud558\uace0 \uc608\uce21\uc744 \uc218\ud589\ud558\ub294 \ub370 \uc0ac\uc6a9\ub418\ub294 \uae30\uc220\uc785\ub2c8\ub2e4. … \ub354 \ubcf4\uae30 "\uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub525\ub7ec\ub2dd \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529, \uc120\ud615 \ud68c\uadc0\ub85c \uc218\uc775\ub960\uc744 \uc608\uce21\ud558\ub294 \ubc29\ubc95"\" \/>\n<meta property=\"og:url\" content=\"https:\/\/atmokpo.com\/w\/29095\/\" \/>\n<meta property=\"og:site_name\" content=\"\ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"article:published_time\" content=\"2024-10-27T16:16:45+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-11-26T06:54:35+00:00\" \/>\n<meta name=\"author\" content=\"root\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@bebubo4\" \/>\n<meta name=\"twitter:site\" content=\"@bebubo4\" \/>\n<meta name=\"twitter:label1\" content=\"\uae00\uc4f4\uc774\" \/>\n\t<meta name=\"twitter:data1\" content=\"root\" \/>\n\t<meta name=\"twitter:label2\" content=\"\uc608\uc0c1 \ub418\ub294 \ud310\ub3c5 \uc2dc\uac04\" \/>\n\t<meta name=\"twitter:data2\" content=\"1\ubd84\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/atmokpo.com\/w\/29095\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/atmokpo.com\/w\/29095\/\"},\"author\":{\"name\":\"root\",\"@id\":\"https:\/\/atmokpo.com\/w\/#\/schema\/person\/91b6b3b138fbba0efb4ae64b1abd81d7\"},\"headline\":\"\uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub525\ub7ec\ub2dd \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529, \uc120\ud615 \ud68c\uadc0\ub85c \uc218\uc775\ub960\uc744 \uc608\uce21\ud558\ub294 \ubc29\ubc95\",\"datePublished\":\"2024-10-27T16:16:45+00:00\",\"dateModified\":\"2024-11-26T06:54:35+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/atmokpo.com\/w\/29095\/\"},\"wordCount\":11,\"publisher\":{\"@id\":\"https:\/\/atmokpo.com\/w\/#organization\"},\"articleSection\":[\"\ub525\ub7ec\ub2dd \uba38\uc2e0\ub7ec\ub2dd \uc790\ub3d9 \ud2b8\ub808\uc774\ub529\"],\"inLanguage\":\"ko-KR\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/atmokpo.com\/w\/29095\/\",\"url\":\"https:\/\/atmokpo.com\/w\/29095\/\",\"name\":\"\uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub525\ub7ec\ub2dd \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529, \uc120\ud615 \ud68c\uadc0\ub85c \uc218\uc775\ub960\uc744 \uc608\uce21\ud558\ub294 \ubc29\ubc95 - 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