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\uc54c\uace0\ub9ac\uc998\uc774 \uc5b4\ub5bb\uac8c \ud2b8\ub808\uc774\ub529\uc5d0 \uc751\uc6a9\ub420 \uc218 \uc788\ub294\uc9c0, \uadf8\ub9ac\uace0 \uadf8 \uc911\uc5d0\uc11c\ub3c4 \ubca0\uc774\uc9c0\uc548 \uba38\uc2e0\ub7ec\ub2dd\uc758 \uc5ed\ud560\uacfc \uc911\uc694\uc131\uc744 \uc0c1\uc138\ud788 \uc124\uba85\ud558\uaca0\uc2b5\ub2c8\ub2e4. 1. \uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub525\ub7ec\ub2dd \uac1c\uc694 \uba38\uc2e0\ub7ec\ub2dd\uc740 \ub370\uc774\ud130\uc5d0\uc11c \ud328\ud134\uc744 \ud559\uc2b5\ud558\uc5ec \uc608\uce21\ud558\ub294 \uc54c\uace0\ub9ac\uc998\uc744 \uad6c\ud604\ud558\ub294 \uae30\uc220\uc785\ub2c8\ub2e4. \uc77c\ubc18\uc801\uc73c\ub85c \uba38\uc2e0\ub7ec\ub2dd\uc740 \uc8fc\uc5b4\uc9c4 \ub370\uc774\ud130\ub97c \uae30\ubc18\uc73c\ub85c \ubaa8\ub378\uc744 \ud559\uc2b5\uc2dc\ud0a4\uace0,\u2026","rel":"","context":""\ub525\ub7ec\ub2dd \uba38\uc2e0\ub7ec\ub2dd \uc790\ub3d9 \ud2b8\ub808\uc774\ub529"\uc5d0\uc11c","block_context":{"text":"\ub525\ub7ec\ub2dd 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{"id":29463,"date":"2024-10-27T16:18:34","date_gmt":"2024-10-27T16:18:34","guid":{"rendered":"http:\/\/atmokpo.com\/w\/?p=29463"},"modified":"2024-11-26T06:52:32","modified_gmt":"2024-11-26T06:52:32","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-%ed%8f%ac%ed%8a%b8%ed%8f%b4%eb%a6%ac%ec%98%a4-2","status":"publish","type":"post","link":"https:\/\/atmokpo.com\/w\/29463\/","title":{"rendered":"\uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub525\ub7ec\ub2dd \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529, \ud3ec\ud2b8\ud3f4\ub9ac\uc624 \uc704\ud5d8\uacfc \uc218\uc775\ub960 \uad00\ub9ac\ud558\ub294 \ubc29\ubc95"},"content":{"rendered":"

<\/p>\n

\uc8fc\uc2dd, \uc678\ud658, \uc554\ud638\ud654\ud3d0 \ub4f1 \ub2e4\uc591\ud55c \uae08\uc735 \uc790\uc0b0\uc5d0 \ub300\ud55c \uc790\ub3d9\ub9e4\ub9e4 \uc2dc\uc2a4\ud15c \uac1c\ubc1c\uc740 \uace0\uae09 \ud22c\uc790\uc790\uc758 \ud544\uc218 \uc870\uac74\uc774 \ub418\uc5b4 \uac00\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ud2b9\ud788, \uba38\uc2e0\ub7ec\ub2dd(Machine Learning) \ubc0f \ub525\ub7ec\ub2dd(Deep Learning) \uae30\uc220\uc740 \uc608\uce21 \ubaa8\ub378\uc744 \uad6c\ucd95\ud558\uace0 \uc704\ud5d8\uc744 \uad00\ub9ac\ud558\ub294 \ub370 \uc788\uc5b4 \uac15\ub825\ud55c \ub3c4\uad6c\ub85c \uc790\ub9ac\uc7a1\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uc774 \uae00\uc5d0\uc11c\ub294 \uc790\ub3d9\ub9e4\ub9e4\ub97c \uc704\ud55c \uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub525\ub7ec\ub2dd \uc54c\uace0\ub9ac\uc998\uacfc \uc774\ub97c \ud1b5\ud574 \ud3ec\ud2b8\ud3f4\ub9ac\uc624\uc758 \uc704\ud5d8\uacfc \uc218\uc775\ub960\uc744 \uad00\ub9ac\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \uae4a\uc774 \uc124\uba85\ud558\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n

1. \uae30\ucd08 \uc6a9\uc5b4 \uc815\ub9ac<\/h2>\n
\ud000\ud2b8 \ub9e4\ub9e4\ub97c \uc774\ud574\ud558\uae30 \uc704\ud574 \uba87 \uac00\uc9c0 \uae30\ubcf8 \uc6a9\uc5b4\ub97c \uc815\ub9ac\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n
\n
\ud000\ud2b8 \ud2b8\ub808\uc774\ub529(Quantitative Trading)<\/strong>: \uc218\ud559\uc801 \ubaa8\ub378\uacfc \uc54c\uace0\ub9ac\uc998\uc744 \uae30\ubc18\uc73c\ub85c \ud55c \uc790\ub3d9\ud654\ub41c \uc8fc\uc2dd \uac70\ub798<\/li>\n
\uba38\uc2e0\ub7ec\ub2dd(Machine Learning)<\/strong>: \ub370\uc774\ud130\uc5d0\uc11c \ud328\ud134\uc744 \ud559\uc2b5\ud558\uc5ec \uc608\uce21\uc774\ub098 \uacb0\uc815\uc744 \ub0b4\ub9ac\ub294 \uc54c\uace0\ub9ac\uc998\uc758 \uc77c\uc885<\/li>\n
\ub525\ub7ec\ub2dd(Deep Learning)<\/strong>: \uc2e0\uacbd\ub9dd\uc744 \uc774\uc6a9\ud55c \uba38\uc2e0\ub7ec\ub2dd\uc758 \ud55c \ubd84\uc57c\ub85c, \ubcf5\uc7a1\ud55c \ub370\uc774\ud130 \ud45c\ud604\uc744 \ud559\uc2b5<\/li>\n
\ud3ec\ud2b8\ud3f4\ub9ac\uc624(Portfolio)<\/strong>: \ud22c\uc790\uc790\uac00 \ubcf4\uc720\ud55c \uc790\uc0b0\uc758 \uc9d1\ud569<\/li>\n
\uc704\ud5d8 \uad00\ub9ac(Risk Management)<\/strong>: \ud22c\uc790 \uc190\uc2e4\uc744 \ucd5c\uc18c\ud654\ud558\ub294 \uc804\ub7b5<\/li>\n
\uc218\uc775\ub960(Return)<\/strong>: \ud22c\uc790\uc758 \uc131\uacfc\ub97c \uce21\uc815\ud558\ub294 \uc9c0\ud45c<\/li>\n<\/ul>\n
2. \uba38\uc2e0\ub7ec\ub2dd\uacfc \ub525\ub7ec\ub2dd \uac1c\uc694<\/h2>\n
\uba38\uc2e0\ub7ec\ub2dd\uacfc \ub525\ub7ec\ub2dd\uc740 \ub370\uc774\ud130\ub97c \ubd84\uc11d\ud558\uace0 \uc608\uce21\ud558\uae30 \uc704\ud55c \uacfc\uc815\uc785\ub2c8\ub2e4. \ub2e4\uc74c\uc740 \ub450 \uae30\uc220\uc758 \uc8fc\uc694 \ucc28\uc774\uc810\uc785\ub2c8\ub2e4:<\/p>\n
\n
\uba38\uc2e0\ub7ec\ub2dd<\/strong>: \ub300\uac1c \uad6c\uc870\ud654\ub41c \ub370\uc774\ud130\uc5d0 \ub300\ud574 \uc791\ub3d9\ud558\uba70, \ucc98\ub9ac \uc18d\ub3c4\uac00 \ube60\ub974\uace0 \uc608\uce21 \ubaa8\ub378 \uad6c\ucd95\uc774 \uac04\ub2e8\ud568.<\/li>\n
\ub525\ub7ec\ub2dd<\/strong>: \ub300\ub7c9\uc758 \ube44\uad6c\uc870\ud654 \ub370\uc774\ud130(\uc608: \uc774\ubbf8\uc9c0, \ud14d\uc2a4\ud2b8)\uc5d0 \ub300\ud574 \uc791\uc5c5\ud558\uba70, \ubcf5\uc7a1\ud55c \ub124\ud2b8\uc6cc\ud06c \uad6c\uc870\ub97c \ud544\uc694\ub85c \ud568; \ucc98\ub9ac \uc2dc\uac04\uc774 \ub354 \uae38\uc9c0\ub9cc, \ub354 \uc815\ud655\ud55c \uc608\uce21\uc774 \uac00\ub2a5.<\/li>\n<\/ul>\n
2.1 \uba38\uc2e0\ub7ec\ub2dd\uc758 \uc885\ub958<\/h3>\n
\uba38\uc2e0\ub7ec\ub2dd\uc758 \uc8fc\uc694 \uc885\ub958\ub294 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4:<\/p>\n
\n
\uc9c0\ub3c4 \ud559\uc2b5(Supervised Learning)<\/strong>: \uc785\ub825 \ub370\uc774\ud130\uc640 \ucd9c\ub825 \uacb0\uacfc\uac00 \uc8fc\uc5b4\uc84c\uc744 \ub54c \ud559\uc2b5\ud558\ub294 \ubc29\ubc95\uc785\ub2c8\ub2e4. \uc608: \ud68c\uadc0 \ubd84\uc11d, \ubd84\ub958 \ubb38\uc81c.<\/li>\n
\ube44\uc9c0\ub3c4 \ud559\uc2b5(Unsupervised Learning)<\/strong>: \ucd9c\ub825 \uacb0\uacfc \uc5c6\uc774 \ub370\uc774\ud130\uc758 \ud328\ud134\uc744 \ubd84\uc11d\ud569\ub2c8\ub2e4. \uc608: \uad70\uc9d1\ud654.<\/li>\n
\uac15\ud654 \ud559\uc2b5(Reinforcement Learning)<\/strong>: \uc5d0\uc774\uc804\ud2b8\uac00 \ud658\uacbd\uacfc \uc0c1\ud638\uc791\uc6a9\ud558\uba70 \ubcf4\uc0c1\uc744 \ucd5c\ub300\ud654\ud558\ub294 \ubc29\ud5a5\uc73c\ub85c \ud559\uc2b5\ud569\ub2c8\ub2e4.<\/li>\n<\/ul>\n
2.2 \ub525\ub7ec\ub2dd\uc758 \uad6c\uc870<\/h3>\n
\ub525\ub7ec\ub2dd\uc758 \uae30\ubcf8 \uad6c\uc131 \uc694\uc18c\ub294 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4:<\/p>\n
\n
\uc785\ub825\uce35(Input Layer)<\/strong>: \ub370\uc774\ud130\ub97c \ubc1b\uc744 \ub54c \uc0ac\uc6a9\ud558\ub294 \uccab \ubc88\uc9f8 \uce35.<\/li>\n
\uc740\ub2c9\uce35(Hidden Layer)<\/strong>: \uc785\ub825 \ub370\uc774\ud130\uc5d0\uc11c \uc5d0\ub4c0\ucf00\uc774\uc158\uc744 \ud1b5\ud574 \ud328\ud134\uc744 \ud559\uc2b5\ud558\ub294 \uc911\uac04 \uce35.<\/li>\n
\ucd9c\ub825\uce35(Output Layer)<\/strong>: \ucd5c\uc885\uc801\uc778 \uc608\uce21\uac12\uc744 \uc0b0\ucd9c\ud558\ub294 \uce35.<\/li>\n<\/ul>\n
3. \uae08\uc735 \ub370\uc774\ud130 \ubc0f \ud2b9\uc131<\/h2>\n
\uba38\uc2e0\ub7ec\ub2dd \ubaa8\ub378\uc744 \uad6c\ucd95\ud558\uae30 \uc704\ud574\uc11c\ub294 \uae08\uc735 \ub370\uc774\ud130\uc758 \ud2b9\uc131\uc744 \uc774\ud574\ud574\uc57c \ud569\ub2c8\ub2e4. \uae08\uc735 \ub370\uc774\ud130\ub294 \uc77c\ubc18\uc801\uc73c\ub85c:<\/p>\n
\n
\uc2dc\uacc4\uc5f4 \ub370\uc774\ud130(Time Series Data): \uc2dc\uac04 \uc21c\uc11c\ub300\ub85c \uc815\ub82c\ub41c \ub370\uc774\ud130.<\/li>\n
\ub300\ub7c9\uc758 \ub370\uc774\ud130(High Volume Data): \uac70\ub798\ub7c9, \uac00\uaca9 \ubcc0\ub3d9\uc131 \ub4f1\uc758 \ub300\uaddc\ubaa8 \ub370\uc774\ud130.<\/li>\n
\ube44\uc815\uc0c1\uc131(Non-stationarity): \uc2dc\uac04\uc774 \uc9c0\ub0a8\uc5d0 \ub530\ub77c \ubd84\ud3ec\uac00 \ubcc0\ud560 \uc218 \uc788\ub294 \ub370\uc774\ud130 \ud2b9\uc131.<\/li>\n
\ub192\uc740 \ub178\uc774\uc988(High Noise): \uc678\ubd80 \uc694\uc778\uc5d0 \uc758\ud574 \uc601\ud5a5\uc744 \ubc1b\uae30 \uc26c\uc6b4 \ub370\uc774\ud130.<\/li>\n<\/ul>\n
4. \uba38\uc2e0\ub7ec\ub2dd \ubaa8\ub378 \uad6c\ucd95<\/h2>\n
\ubaa8\ub378 \uad6c\ucd95 \uacfc\uc815\uc740 \uc5ec\ub7ec \ub2e8\uacc4\ub85c \ub098\ub20c \uc218 \uc788\uc2b5\ub2c8\ub2e4:<\/p>\n
\n
\ubb38\uc81c \uc815\uc758(Problem Definition)<\/strong>: \ud574\uacb0\ud558\ub824\ub294 \ubb38\uc81c\ub97c \uc815\ud655\ud788 \uc815\uc758\ud574\uc57c \ud569\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, \uc8fc\uc2dd\uc758 \uac00\uaca9 \uc608\uce21\uc774\ub098 \ud2b9\uc815 \uc790\uc0b0\uc758 \uac70\ub798 \uc2e0\ud638 \uc0dd\uc131.<\/li>\n
\ub370\uc774\ud130 \uc218\uc9d1(Data Collection)<\/strong>: \ud544\uc694\ud55c \ub370\uc774\ud130\ub97c \uc218\uc9d1\ud569\ub2c8\ub2e4. \ub370\uc774\ud130 \uc18c\uc2a4\uc5d0\ub294 Yahoo Finance, Alpha Vantage, Quandl \ub4f1\uc774 \uc788\uc2b5\ub2c8\ub2e4.<\/li>\n
\ub370\uc774\ud130 \uc804\ucc98\ub9ac(Data Preprocessing)<\/strong>: \uacb0\uce21\uac12 \ucc98\ub9ac, \ub370\uc774\ud130 \uc815\uaddc\ud654, \uc774\uc0c1\uce58 \uc81c\uac70 \ub4f1\uc744 \uc218\ud589\ud569\ub2c8\ub2e4.<\/li>\n
\ud2b9\uc131 \uc120\ud0dd(Feature Selection)<\/strong>: \ubaa8\ub378 \uc131\ub2a5\uc5d0 \uc601\ud5a5\uc744 \ubbf8\uce58\ub294 \uc8fc\uc694 \ud2b9\uc131\uc744 \uc120\ud0dd\ud569\ub2c8\ub2e4. \uc608: \uc774\ub3d9\ud3c9\uade0, \uc0c1\ub300\uac15\ub3c4\uc9c0\uc218(RSI) \ub4f1.<\/li>\n
\ubaa8\ub378 \uc120\ud0dd(Model Selection)<\/strong>: \ub2e4\uc591\ud55c \uba38\uc2e0\ub7ec\ub2dd \uc54c\uace0\ub9ac\uc998 \uc911\uc5d0\uc11c \ubb38\uc81c\uc5d0 \ub9de\ub294 \ubaa8\ub378\uc744 \uc120\ud0dd\ud569\ub2c8\ub2e4. \uc608: \uc120\ud615 \ud68c\uadc0, \uacb0\uc815 \ud2b8\ub9ac, SVM, \ub79c\ub364 \ud3ec\ub808\uc2a4\ud2b8 \ub4f1.<\/li>\n
\ubaa8\ub378 \ud559\uc2b5(Model Training)<\/strong>: \uc120\ud0dd\ub41c \ubaa8\ub378\uc744 \ud6c8\ub828 \ub370\uc774\ud130\ub85c \ud559\uc2b5\uc2dc\ud0b5\ub2c8\ub2e4.<\/li>\n
\ubaa8\ub378 \ud3c9\uac00(Model Evaluation)<\/strong>: \ud14c\uc2a4\ud2b8 \ub370\uc774\ud130\ub85c \ubaa8\ub378\uc758 \uc131\ub2a5\uc744 \ud3c9\uac00\ud569\ub2c8\ub2e4. \uc608: RMSE, R\u00b2, \uc815\ud655\ub3c4 \ub4f1\uc744 \uae30\uc900\uc73c\ub85c \ud3c9\uac00.<\/li>\n<\/ol>\n
5. \ub525\ub7ec\ub2dd \ubaa8\ub378 \uad6c\ucd95<\/h2>\n
\ub525\ub7ec\ub2dd \ubaa8\ub378\uc740 \ub2e4\uc74c\uacfc \uac19\uc740 \uacfc\uc815\uc744 \ud1b5\ud574 \uad6c\ucd95\ud569\ub2c8\ub2e4:<\/p>\n
\n
\ub370\uc774\ud130 \uc218\uc9d1 \ubc0f \uc804\ucc98\ub9ac<\/strong>: \uba38\uc2e0\ub7ec\ub2dd\uacfc \uc720\uc0ac\ud558\uc9c0\ub9cc, \ub300\ub7c9\uc758 \ub370\uc774\ud130\ub97c \uc0ac\uc6a9\ud574\uc57c \ud558\uace0, \uc77c\ubc18\uc801\uc73c\ub85c \ub354 \ub9ce\uc740 \ud2b9\uc131\uc774 \ud3ec\ud568\ub429\ub2c8\ub2e4.<\/li>\n
\ubaa8\ub378 \uc124\uacc4(Model Design)<\/strong>: \uc801\uc808\ud55c \uc2e0\uacbd\ub9dd \uc544\ud0a4\ud14d\ucc98\ub97c \uc124\uacc4\ud569\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, LSTM(Long Short-Term Memory) \ub124\ud2b8\uc6cc\ud06c\ub294 \uc2dc\uacc4\uc5f4 \ub370\uc774\ud130\uc5d0 \ud6a8\uacfc\uc801\uc785\ub2c8\ub2e4.<\/li>\n
\ubaa8\ub378 \ud559\uc2b5 \ubc0f \uac80\uc99d<\/strong>: \uc801\uc808\ud55c \ud558\uc774\ud37c\ud30c\ub77c\ubbf8\ud130(learning rate, batch size \ub4f1)\ub97c \uc870\uc815\ud558\uba74\uc11c \ub124\ud2b8\uc6cc\ud06c\ub97c \ud6c8\ub828\ud569\ub2c8\ub2e4.<\/li>\n
\ubaa8\ub378 \ud3c9\uac00<\/strong>: \uac80\uc99d \ub370\uc774\ud130\uc14b\uc744 \uc0ac\uc6a9\ud558\uc5ec \ubaa8\ub378 \uc131\ub2a5\uc744 \ud3c9\uac00\ud569\ub2c8\ub2e4.<\/li>\n<\/ol>\n
6. \ud3ec\ud2b8\ud3f4\ub9ac\uc624 \uc704\ud5d8 \uad00\ub9ac<\/h2>\n
\ud22c\uc790\uc5d0\uc11c \uc704\ud5d8 \uad00\ub9ac\ub294 \ub9e4\uc6b0 \uc911\uc694\ud569\ub2c8\ub2e4. \ud3ec\ud2b8\ud3f4\ub9ac\uc624\uc758 \uc704\ud5d8\uc744 \uad00\ub9ac\ud558\ub294 \ubc29\ubc95\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4:<\/p>\n
\n
\ubd84\uc0b0 \ud22c\uc790(Diversification)<\/strong>: \uc5ec\ub7ec \uc790\uc0b0\uc5d0 \ud22c\uc790\ud558\uc5ec \uc704\ud5d8\uc744 \ubd84\uc0b0\ud569\ub2c8\ub2e4.<\/li>\n
\ud5e4\uc9c0(Hedging)<\/strong>: \ud2b9\uc815 \uc790\uc0b0\uc758 \uac00\uaca9 \ubcc0\ub3d9\uc5d0 \ub300\ud574 \ub2e4\ub978 \uc790\uc0b0\uc744 \uc0ac\uc6a9\ud558\uc5ec \ub9ac\uc2a4\ud06c\ub97c \ubc29\uc5b4\ud569\ub2c8\ub2e4.<\/li>\n
\uac00\uc911\uce58 \uc870\uc815(Weight Adjustment)<\/strong>: \ud3ec\ud2b8\ud3f4\ub9ac\uc624 \ub0b4 \uc790\uc0b0\uc758 \ube44\uc911\uc744 \uc870\uc815\ud558\uc5ec \uc704\ud5d8\uc744 \uad00\ub9ac\ud569\ub2c8\ub2e4.<\/li>\n
VaR(Value at Risk)<\/strong>: \uc77c\uc815 \uae30\uac04 \ub3d9\uc548\uc758 \uc190\uc2e4 \uac00\ub2a5\uc131\uc744 \ud3c9\uac00\ud558\ub294 \uc9c0\ud45c\uc785\ub2c8\ub2e4.<\/li>\n<\/ul>\n
6.1 \ud3ec\ud2b8\ud3f4\ub9ac\uc624 \ucd5c\uc801\ud654(Portfolio Optimization)<\/h3>\n
\ud3ec\ud2b8\ud3f4\ub9ac\uc624 \ucd5c\uc801\ud654\ub294 \ub9ac\uc2a4\ud06c\ub97c \ucd5c\uc18c\ud654\ud558\uba74\uc11c \uc218\uc775\uc744 \uadf9\ub300\ud654\ud558\uae30 \uc704\ud55c \ud504\ub85c\uc138\uc2a4\uc785\ub2c8\ub2e4. \ud604\ub300 \ud3ec\ud2b8\ud3f4\ub9ac\uc624 \uc774\ub860(Modern Portfolio Theory, MPT)\uc744 \ud65c\uc6a9\ud558\uc5ec \ucd5c\uc18c \uc704\ud5d8 \ud3ec\ud2b8\ud3f4\ub9ac\uc624\ub97c \uad6c\ucd95\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
7. \ud22c\uc790 \uc131\uacfc \ud3c9\uac00<\/h2>\n
\ud22c\uc790 \uc131\uacfc\ub97c \ud3c9\uac00\ud558\ub294 \uac83\uc740 \ub9e4\uc6b0 \uc911\uc694\ud569\ub2c8\ub2e4. \uc131\uacfc \ud3c9\uac00\ub294 \ub2e4\uc74c\uacfc \uac19\uc740 \uc9c0\ud45c\ub97c \ud1b5\ud574 \uc218\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4:<\/p>\n
\n
\uc0e4\ud504 \ube44\uc728(Sharpe Ratio)<\/strong>: \uc704\ud5d8 \ub2e8\uc704\ub2f9 \ucd08\uacfc \uc218\uc775\ub960\uc744 \uce21\uc815\ud569\ub2c8\ub2e4.<\/li>\n
\uc18c\ub974\ud2f0\ub178 \ube44\uc728(Sortino Ratio)<\/strong>: \ud558\ubc29 \uc704\ud5d8\uc744 \uace0\ub824\ud558\uc5ec \uc131\uacfc\ub97c \ud3c9\uac00\ud569\ub2c8\ub2e4.<\/li>\n
\ud2b8\ub808\ub178\ub974 \ube44\uc728(Treynor Ratio)<\/strong>: \uc2dc\uc2a4\ud15c\uc801 \uc704\ud5d8\uc5d0 \ub300\ud55c \uc131\uacfc\ub97c \uce21\uc815\ud569\ub2c8\ub2e4.<\/li>\n<\/ul>\n
8. \uacb0\ub860<\/h2>\n
\uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub525\ub7ec\ub2dd \uc54c\uace0\ub9ac\uc998\uc744 \ud65c\uc6a9\ud55c \ud2b8\ub808\uc774\ub529\uc740 \ub370\uc774\ud130 \uae30\ubc18\uc758 \uc758\uc0ac \uacb0\uc815\uc744 \uac00\ub2a5\ud558\uac8c \ud558\uc5ec \ud22c\uc790 \uc131\uacfc\ub97c \ud5a5\uc0c1\uc2dc\ud0ac \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uadf8\ub7ec\ub098 \uc704\ud5d8 \uad00\ub9ac\uc640 \uc131\uacfc \ud3c9\uac00\ub294 \uc5ec\uc804\ud788 \uc911\uc694\ud55c \uc694\uc18c\uc785\ub2c8\ub2e4. \uc774 \uac15\uc88c\ub97c \ud1b5\ud574 \uc5ec\ub7ec\ubd84\uc774 \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc758 \uae30\ucd08\ub97c \uc774\ud574\ud558\uace0 \uc131\uacf5\uc801\uc778 \ud22c\uc790\ub97c \uc704\ud55c \ub3c4\uad6c\ub97c \uac16\ucd94\uae38 \ubc14\ub78d\ub2c8\ub2e4.<\/p>\n
9. \ucc38\uace0 \uc790\ub8cc<\/h2>\n
\n
\u201cAn Introduction to Statistical Learning\u201d – Gareth James \uc678 \uc800\uc790<\/li>\n
\u201cDeep Learning\u201d – Ian Goodfellow \uc678 \uc800\uc790<\/li>\n
\uace0\uae09 \ud000\ud2b8 \ud2b8\ub808\uc774\ub529 \uad00\ub828 \uc628\ub77c\uc778 \uac15\uc758 \ubc0f \uad50\uc721 \ud504\ub85c\uadf8\ub7a8<\/li>\n<\/ul>\n
<\/body><\/p>\n","protected":false},"excerpt":{"rendered":"
\uc8fc\uc2dd, \uc678\ud658, \uc554\ud638\ud654\ud3d0 \ub4f1 \ub2e4\uc591\ud55c \uae08\uc735 \uc790\uc0b0\uc5d0 \ub300\ud55c \uc790\ub3d9\ub9e4\ub9e4 \uc2dc\uc2a4\ud15c \uac1c\ubc1c\uc740 \uace0\uae09 \ud22c\uc790\uc790\uc758 \ud544\uc218 \uc870\uac74\uc774 \ub418\uc5b4 \uac00\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ud2b9\ud788, \uba38\uc2e0\ub7ec\ub2dd(Machine Learning) \ubc0f \ub525\ub7ec\ub2dd(Deep Learning) \uae30\uc220\uc740 \uc608\uce21 \ubaa8\ub378\uc744 \uad6c\ucd95\ud558\uace0 \uc704\ud5d8\uc744 \uad00\ub9ac\ud558\ub294 \ub370 \uc788\uc5b4 \uac15\ub825\ud55c \ub3c4\uad6c\ub85c \uc790\ub9ac\uc7a1\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uc774 \uae00\uc5d0\uc11c\ub294 \uc790\ub3d9\ub9e4\ub9e4\ub97c \uc704\ud55c \uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub525\ub7ec\ub2dd \uc54c\uace0\ub9ac\uc998\uacfc \uc774\ub97c \ud1b5\ud574 \ud3ec\ud2b8\ud3f4\ub9ac\uc624\uc758 \uc704\ud5d8\uacfc \uc218\uc775\ub960\uc744 \uad00\ub9ac\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \uae4a\uc774 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