\n \uc8fc\uc2dd \ubc0f \uae08\uc735\uc2dc\uc7a5\uc5d0 \ub300\ud55c \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc774 \uc810\uc810 \ub354 \uc778\uae30\ub97c \ub04c\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uba38\uc2e0\ub7ec\ub2dd\uacfc \ub525\ub7ec\ub2dd \uae30\uc220\uc744 \ud65c\uc6a9\ud55c \ud2b8\ub808\uc774\ub529 \uc804\ub7b5\uc740 \uc2dc\uc7a5 \ub370\uc774\ud130\uc758 \ud328\ud134\uc744 \ubc30\uc6b0\uace0 \uc774\ub97c \uae30\ubc18\uc73c\ub85c \uc608\uce21 \ubc0f \uacb0\uc815\uc744 \ub0b4\ub9b4 \uc218 \uc788\uac8c \ud574\uc90d\ub2c8\ub2e4. \ud2b9\ud788, \uc559\uc0c1\ube14 \uc2dc\uadf8\ub110 \uae30\ubc95\uc740 \uc5ec\ub7ec \ubaa8\ub378\uc758 \ucd9c\ub825\uc744 \uacb0\ud569\ud558\uc5ec \ubcf4\ub2e4 \uc2e0\ub8b0\ud560 \uc218 \uc788\ub294 \uc608\uce21\uc744 \uc81c\uacf5\ud569\ub2c8\ub2e4. \uc774\ubc88 \uae00\uc5d0\uc11c\ub294 \uc559\uc0c1\ube14 \uae30\ubc95\uc744 \ud65c\uc6a9\ud55c \ud2b8\ub808\uc774\ub529 \uc804\ub7b5\uc744 \ubc31\ud14c\uc2a4\ud305\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc790\uc138\ud788 \uc0b4\ud3b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4.\n<\/p>\n
\n \uba38\uc2e0\ub7ec\ub2dd\uc740 \ub370\uc774\ud130\ub97c \ud1b5\ud574 \ud328\ud134\uc744 \ud559\uc2b5\ud558\uace0, \uadf8 \ud328\ud134\uc744 \ud1b5\ud574 \uc608\uce21 \ubc0f \uacb0\uc815\uc744 \ub0b4\ub9ac\ub294 \uc54c\uace0\ub9ac\uc998\uc758 \uc9d1\ud569\uc785\ub2c8\ub2e4. \ub525\ub7ec\ub2dd\uc740 \uba38\uc2e0\ub7ec\ub2dd\uc758 \ud55c \ubd84\uc57c\ub85c \uc2e0\uacbd\ub9dd\uc744 \uae30\ubc18\uc73c\ub85c \ud55c \ub354\uc6b1 \ubcf5\uc7a1\ud55c \ubaa8\ub378\uc744 \uc0ac\uc6a9\ud558\uc5ec \ub2e4\uc591\ud55c \ub370\uc774\ud130\uc5d0\uc11c \uc608\uce21\uc744 \uc218\ud589\ud569\ub2c8\ub2e4.\n<\/p>\n
\n \uc559\uc0c1\ube14 \ubc29\ubc95\ub860\uc740 \uc5ec\ub7ec \uac1c\uc758 \ubaa8\ub378\uc744 \uacb0\ud569\ud558\uc5ec \ub354 \ub098\uc740 \uc131\ub2a5\uc744 \uac00\uc9c0\ub294 \uc608\uce21 \ubaa8\ub378\uc744 \ub9cc\ub4dc\ub294 \uae30\ubc95\uc785\ub2c8\ub2e4. \ub300\ud45c\uc801\uc778 \uc559\uc0c1\ube14 \ubc29\ubc95\uc73c\ub85c\ub294 \ubc30\uae45(Bagging), \ubd80\uc2a4\ud305(Boosting), \uc2a4\ud0dc\ud0b9(Stacking) \ub4f1\uc774 \uc788\uc2b5\ub2c8\ub2e4.\n<\/p>\n
\n \ubc30\uae45\uc740 \uae30\ubcf8 \ubaa8\ub378\uc744 \uc5ec\ub7ec \uac1c \uc0dd\uc131\ud558\uace0, \uac01 \ubaa8\ub378\uc758 \uc608\uce21 \uacb0\uacfc\ub97c \ud3c9\uade0\ud558\uac70\ub098 \ub2e4\uc218\uacb0\ub85c \uacb0\ud569\ud569\ub2c8\ub2e4. \ub79c\ub364 \ud3ec\ub808\uc2a4\ud2b8\ub294 \ubc30\uae45\uc758 \ub300\ud45c\uc801\uc778 \uc608\uc785\ub2c8\ub2e4.\n<\/p>\n
\n \ubd80\uc2a4\ud305\uc740 \uc5ec\ub7ec \uac1c\uc758 \uc57d\ud55c \ud559\uc2b5\uae30\ub97c \uacb0\ud569\ud558\uc5ec \uac15\ud55c \ud559\uc2b5\uae30\ub97c \ub9cc\ub4dc\ub294 \ubc29\ubc95\uc785\ub2c8\ub2e4. \uac01 \ubaa8\ub378\uc740 \uc774\uc804 \ubaa8\ub378\uc774 \uc798\ubabb \uc608\uce21\ud55c \uc0ac\ub840\uc5d0 \ub354 \ub9ce\uc740 \uac00\uc911\uce58\ub97c \ub450\uace0 \ud559\uc2b5\ud569\ub2c8\ub2e4. XGBoost, LightGBM\uc774 \uc5ec\uae30\uc5d0 \ud574\ub2f9\ud569\ub2c8\ub2e4.\n<\/p>\n
\n \uc2a4\ud0dc\ud0b9\uc740 \uc11c\ub85c \ub2e4\ub978 \ubaa8\ub378\uc758 \uc608\uce21 \uacb0\uacfc\ub97c \uba54\ud0c0 \ubaa8\ub378\uc5d0 \ucd94\uac00\ud558\uc5ec \ucd5c\uc885 \uc608\uce21\uc744 \ub9cc\ub4ed\ub2c8\ub2e4. \ub2e4\uc591\ud55c \ud615\ud0dc\uc758 \ubaa8\ub378\uc744 \uacb0\ud569\ud558\uc5ec \uc77c\ubc18\ud654 \uc131\ub2a5\uc744 \ud5a5\uc0c1\uc2dc\ud0ac \uc218 \uc788\uc2b5\ub2c8\ub2e4.\n<\/p>\n
\n \uc131\uacf5\uc801\uc778 \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529 \uc804\ub7b5\uc744 \uac1c\ubc1c\ud558\uae30 \uc704\ud574\uc11c\ub294 \uc801\uc808\ud55c \ub370\uc774\ud130\uac00 \ud544\uc694\ud569\ub2c8\ub2e4. \uc8fc\ub85c \uc0ac\uc6a9\ub418\ub294 \ub370\uc774\ud130\ub294 \uc8fc\uac00, \uac70\ub798\ub7c9, \uae30\uc220\uc801 \uc9c0\ud45c \ub4f1\uc785\ub2c8\ub2e4.\n<\/p>\n
\n \ub370\uc774\ud130 \uc218\uc9d1\uc740 Yahoo Finance, Alpha Vantage, Quandl \ub4f1\uc758 API\ub97c \ud1b5\ud574 \uac00\ub2a5\ud558\uba70, \uae08\uc735 \ub370\uc774\ud130 \uc6f9\uc0ac\uc774\ud2b8\uc5d0\uc11c CSV \ud30c\uc77c\ub85c \ub2e4\uc6b4\ub85c\ub4dc \ubc1b\uc744 \uc218\ub3c4 \uc788\uc2b5\ub2c8\ub2e4.\n<\/p>\n
\n \uc218\uc9d1\ud55c \ub370\uc774\ud130\ub294 \ub85c\ub4dc \ud6c4 \uacb0\uce21\uce58 \ucc98\ub9ac, \uc815\uaddc\ud654 \ubc0f \uc2a4\ucf00\uc77c\ub9c1, \ud2b9\uc131 \uc0dd\uc131 \ub4f1\uc758 \uc804\ucc98\ub9ac \uacfc\uc815\uc744 \uac70\uccd0\uc57c \ud569\ub2c8\ub2e4. \uc774\ub97c \ud1b5\ud574 \uba38\uc2e0\ub7ec\ub2dd \ubaa8\ub378\uc774 \ud6a8\uc728\uc801\uc73c\ub85c \ud559\uc2b5\ud560 \uc218 \uc788\ub294 \ud615\ud0dc\ub85c \ub370\uc774\ud130\ub97c \uc900\ube44\ud569\ub2c8\ub2e4.\n<\/p>\n
\n \ub370\uc774\ud130\uac00 \uc900\ube44\ub418\uba74, \ub2e4\uc591\ud55c \uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub525\ub7ec\ub2dd \ubaa8\ub378\uc744 \ud559\uc2b5\uc2dc\ud0a4\uace0 \uc559\uc0c1\ube14 \ubaa8\ub378\uc744 \uad6c\ucd95\ud569\ub2c8\ub2e4.\n<\/p>\n
python\nimport pandas as pd\nfrom sklearn.ensemble import RandomForestClassifier\nfrom sklearn.model_selection import train_test_split\n\n# \ub370\uc774\ud130 \ub85c\ub4dc\ndata = pd.read_csv('stock_data.csv')\n\n# \ub370\uc774\ud130 \uc804\ucc98\ub9ac...\n# X, y \uc124\uc815\nX = data.drop('target', axis=1)\ny = data['target']\n\n# \ud559\uc2b5\/\ud14c\uc2a4\ud2b8 \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 \ud6c8\ub828\nmodel = RandomForestClassifier()\nmodel.fit(X_train, y_train)\n<\/code><\/pre>\n4.2 \uc559\uc0c1\ube14 \ubaa8\ub378 \uc0dd\uc131<\/h3>\npython\nfrom sklearn.ensemble import VotingClassifier\n\n# \uc5ec\ub7ec \ubaa8\ub378 \uc0dd\uc131\nmodel1 = RandomForestClassifier()\nmodel2 = SVC(probability=True)\nmodel3 = GradientBoostingClassifier()\n\n# \uc559\uc0c1\ube14 \ubaa8\ub378\nensemble_model = VotingClassifier(estimators=[\n ('rf', model1), ('svc', model2), ('gb', model3)], voting='soft')\n\n# \uc559\uc0c1\ube14 \ubaa8\ub378 \ud6c8\ub828\nensemble_model.fit(X_train, y_train)\n<\/code><\/pre>\n5. \ubc31\ud14c\uc2a4\ud2b8<\/h2>\n
\n \ubc31\ud14c\uc2a4\ud2b8\ub294 \uac1c\ubc1c\ud55c \ud2b8\ub808\uc774\ub529 \uc804\ub7b5\uc774 \uacfc\uac70 \ub370\uc774\ud130\uc5d0 \uc5b4\ub5a4 \uc131\uacfc\ub97c \ubcf4\uc600\ub294\uc9c0 \ud3c9\uac00\ud558\ub294 \uacfc\uc815\uc785\ub2c8\ub2e4. \uc774 \uacfc\uc815\uc5d0\uc11c \uc2e4\uac70\ub798\uc5d0\uc11c\uc758 \uc131\uacfc\ub97c \uc608\uce21\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.\n<\/p>\n
5.1 \ubc31\ud14c\uc2a4\ud2b8 \ud658\uacbd \uad6c\ucd95<\/h3>\n
\n \ubc31\ud14c\uc2a4\ud2b8\ub97c \uc218\ud589\ud558\uae30 \uc704\ud574\uc11c\ub294 Python\uacfc \uac19\uc740 \ud504\ub85c\uadf8\ub798\ubc0d \uc5b8\uc5b4\ub97c \ud65c\uc6a9\ud558\uc5ec \ubc31\ud14c\uc2a4\ud2b8 \ub3c4\uad6c\ub97c \uad6c\ucd95\ud558\ub294 \uac83\uc774 \uc77c\ubc18\uc801\uc785\ub2c8\ub2e4. \uc720\uba85\ud55c \ubc31\ud14c\uc2a4\ud305 \ub77c\uc774\ube0c\ub7ec\ub9ac\ub85c\ub294 Backtrader\uc640 Zipline \ub4f1\uc774 \uc788\uc2b5\ub2c8\ub2e4.\n<\/p>\n
5.2 \ubc31\ud14c\uc2a4\ud2b8 \uc9c4\ud589<\/h3>\npython\nimport backtrader as bt\n\nclass MyStrategy(bt.Strategy):\n def __init__(self):\n self.ensemble_model = ensemble_model\n \n def next(self):\n # \uc608\uce21\uac12\uc744 \uae30\ubc18\uc73c\ub85c \ub9e4\uc218, \ub9e4\ub3c4 \uacb0\uc815\n prediction = self.ensemble_model.predict(self.data.close[0])\n if prediction == 1:\n self.buy()\n elif prediction == 0:\n self.sell()\n\n# \ubc31\ud14c\uc2a4\ud2b8 \uc124\uc815\ncerebro = bt.Cerebro()\ncerebro.addstrategy(MyStrategy)\ndata_feed = bt.feeds.YahooFinanceData(dataname='AAPL', fromdate=datetime(2020, 1, 1),\n todate=datetime(2021, 1, 1))\ncerebro.adddata(data_feed)\n\n# \ubc31\ud14c\uc2a4\ud2b8 \uc2e4\ud589\ncerebro.run()\n<\/code><\/pre>\n5.3 \uc131\uacfc \ud3c9\uac00<\/h3>\n
\n \ubc31\ud14c\uc2a4\ud2b8 \ud6c4\uc5d0\ub294 \uc131\uacfc\ub97c \ud3c9\uac00\ud574\uc57c \ud569\ub2c8\ub2e4. \uc8fc\uc694 \uc131\uacfc \uc9c0\ud45c\ub85c\ub294 \ucd1d \uc218\uc775\ub960, \ucd5c\ub300 \ub099\ud3ed, \uc0e4\ud504 \ube44\uc728 \ub4f1\uc744 \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774\ub4e4 \uc9c0\ud45c\ub97c \ud1b5\ud574 \uc804\ub7b5\uc758 \uc720\ud6a8\uc131\uc744 \ud3c9\uac00\ud560 \uc218 \uc788\uc2b5\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 \ubcf5\uc7a1\ud558\uace0 \uc9c0\uc18d\uc801\uc73c\ub85c \ubc1c\uc804\ud558\ub294 \ubd84\uc57c\uc785\ub2c8\ub2e4. \ubcf8 \uac15\uc88c\uc5d0\uc11c\ub294 \uc559\uc0c1\ube14 \ubaa8\ub378\uc744 \uae30\ubc18\uc73c\ub85c \ud55c \ud2b8\ub808\uc774\ub529 \uc804\ub7b5\uc758 \ubc31\ud14c\uc2a4\ud305 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc0b4\ud3b4\ubcf4\uc558\uc2b5\ub2c8\ub2e4. \uc774 \uacfc\uc815\uc744 \ud1b5\ud574 \uac1c\uc778 \ud22c\uc790\uc790\ub4e4\ub3c4 \ubcf4\ub2e4 \uccb4\uacc4\uc801\uc774\uace0 \ub370\uc774\ud130 \uae30\ubc18\uc758 \ud22c\uc790 \uacb0\uc815\uc774 \uac00\ub2a5\ud574\uc9c8 \uac83\uc785\ub2c8\ub2e4.\n<\/p>\n
\n \uc55e\uc73c\ub85c \ub354 \ub9ce\uc740 \ubc1c\uc804\uacfc \uc5f0\uad6c\uac00 \ud544\uc694\ud558\uc9c0\ub9cc, \uba38\uc2e0\ub7ec\ub2dd\uc758 \ud798\uc744 \ud65c\uc6a9\ud558\uc5ec \ud22c\uc790 \uc131\uacfc\ub97c \ud5a5\uc0c1\uc2dc\ud0ac \uc218 \uc788\ub294 \uae30\ud68c\uac00 \uc5f4\ub9ac\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uc5ec\ub7ec\ubd84\uc758 \uc131\uacf5\uc801\uc778 \ud22c\uc790 \uc5ec\uc815\uc774 \ub418\uae38 \ubc14\ub78d\ub2c8\ub2e4.\n<\/p>\n
<\/body><\/p>\n","protected":false},"excerpt":{"rendered":"