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<\/p>\n

\uae08\uc735 \uc2dc\uc7a5\uc740 \uc804\ud1b5\uc801\uc73c\ub85c \uc218\ub9ce\uc740 \ud2b8\ub808\uc774\ub354\uc640 \ud22c\uc790\uc790\ub4e4\uc774 \ucc38\uc5ec\ud558\ub294 \ubcf5\uc7a1\ud55c \uc2dc\uc2a4\ud15c\uc785\ub2c8\ub2e4. \ucd5c\uadfc \uba87 \ub144\uac04 \uba38\uc2e0\ub7ec\ub2dd(Machine Learning, ML)\uacfc \ub525\ub7ec\ub2dd(Deep Learning, DL)\uc758 \ubc1c\uc804\uc73c\ub85c \uc778\ud574 \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529(Algorithmic Trading)\uc774 \ud55c\uce35 \ub354 \ubc1c\uc804\ud558\uc600\uc2b5\ub2c8\ub2e4. \uc774 \uac15\uc88c\uc5d0\uc11c\ub294 \uba38\uc2e0\ub7ec\ub2dd\uacfc \ub525\ub7ec\ub2dd\uc744 \ud65c\uc6a9\ud55c \ud2b8\ub808\uc774\ub529 \uc804\ub7b5\uacfc \uc54c\ud30c \ud329\ud130\uc758 \uac1c\ub150\uc744 \uae4a\uc774 \uc788\uac8c \ud0d0\uad6c\ud558\uace0, \uc774\ub97c \uc2e4\uc9c8\uc801\uc73c\ub85c \uc801\uc6a9\ud560 \uc218 \uc788\ub294 \ubc29\ubc95\ub860\uc744 \uc81c\uc2dc\ud569\ub2c8\ub2e4.<\/p>\n

1. \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc758 \uac1c\uc694<\/h2>\n
\uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc740 \ucef4\ud4e8\ud130 \ud504\ub85c\uadf8\ub7a8\uc744 \uc774\uc6a9\ud558\uc5ec \uc790\uc0b0\uc744 \uc790\ub3d9\uc73c\ub85c \uc0ac\uace0 \ud30c\ub294 \ubc29\uc2dd\uc785\ub2c8\ub2e4. \uc774\ub7ec\ud55c \uc811\uadfc\ubc95\uc740 \ud2b9\uc815 \uaddc\uce59\uc774\ub098 \uc218\ud559\uc801 \ubaa8\ub378\uc744 \uae30\ubc18\uc73c\ub85c \ud558\uba70, \uc778\uac04\uc758 \uac10\uc815\uc774\ub098 \uc9c1\uad00\uc744 \ubc30\uc81c\ud558\uc5ec \uac70\ub798\uc758 \uc77c\uad00\uc131\uc744 \ub192\uc785\ub2c8\ub2e4.<\/p>\n

1.1. \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc758 \uc7a5\uc810<\/h3>\n

\uc2e0\uc18d\ud55c \uc8fc\ubb38 \ucc98\ub9ac: \ud504\ub85c\uadf8\ub7a8\uc740 \uc2e4\uc2dc\uac04\uc73c\ub85c \ub370\uc774\ud130\ub97c \ubd84\uc11d\ud558\uace0 \uc989\uac01\uc801\uc73c\ub85c \uac70\ub798\ub97c \uc2e4\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/li>\n
\uac10\uc815\uc801 \uc694\uc18c \ubc30\uc81c: \uc54c\uace0\ub9ac\uc998\uc740 \uc778\uac04\uc758 \uac10\uc815\uc5d0 \uc601\ud5a5\uc744 \ubc1b\uc9c0 \uc54a\uc73c\ubbc0\ub85c \uc77c\uad00\ub41c \uacb0\uc815\uc744 \ub0b4\ub9b4 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/li>\n

\ub300\ub7c9 \ub370\uc774\ud130 \ucc98\ub9ac: \uc54c\uace0\ub9ac\uc998\uc740 \ub300\ub7c9\uc758 \ub370\uc774\ud130\ub97c \uc2e0\uc18d\ud558\uac8c \ucc98\ub9ac\ud558\uace0 \ud328\ud134\uc744 \ud30c\uc545\ud558\uc5ec \uc758\uc0ac\uacb0\uc815\uc744 \uc9c0\uc6d0\ud569\ub2c8\ub2e4.<\/li>\n<\/ul>\n

1.2. \uba38\uc2e0\ub7ec\ub2dd\uacfc \ub525\ub7ec\ub2dd\uc758 \uc5ed\ud560<\/h3>\n
\uba38\uc2e0\ub7ec\ub2dd\uacfc \ub525\ub7ec\ub2dd\uc740 \ub370\uc774\ud130\ub97c \ubd84\uc11d\ud558\uace0 \ud328\ud134\uc744 \ucc3e\ub294 \ub370 \ud0c1\uc6d4\ud55c \ub2a5\ub825\uc744 \ubcf4\uc785\ub2c8\ub2e4. \uc77c\ubc18\uc801\uc73c\ub85c \uba38\uc2e0\ub7ec\ub2dd\uc740 \ud2b9\uc815 \uae30\ub2a5(feature)\uc744 \uae30\ubc18\uc73c\ub85c \ubaa8\ub378\uc744 \ud559\uc2b5\uc2dc\ud0a4\uace0 \uc608\uce21\ud558\ub294 \ubc18\uba74, \ub525\ub7ec\ub2dd\uc740 \uc778\uacf5\uc2e0\uacbd\ub9dd\uc744 \uc774\uc6a9\ud558\uc5ec \ub354 \ubcf5\uc7a1\ud55c \ub370\uc774\ud130\uc758 \ud2b9\uc131\uc744 \ucd94\ucd9c\ud569\ub2c8\ub2e4.<\/p>\n

2. \uc54c\ud30c \ud329\ud130 \uc774\ud574\ud558\uae30<\/h2>\n
\uc54c\ud30c \ud329\ud130(Alpha Factor)\ub294 \uae08\uc735 \uc2dc\uc7a5\uc5d0\uc11c \uc218\uc775\uc744 \ucd08\uacfc\ub2ec\uc131\ud558\uae30 \uc704\ud55c \uc9c0\ud45c\uc785\ub2c8\ub2e4. \uc774\ub294 \uc8fc\uc2dd\uc758 \ubbf8\ub798 \uc131\uacfc\ub97c \uc608\uce21\ud558\ub294 \ub370 \uc0ac\uc6a9\ub418\ub294 \ud1b5\uacc4\uc801 \uc694\uc778\uc73c\ub85c, \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc758 \uae30\ubc18\uc774 \ub429\ub2c8\ub2e4.<\/p>\n

2.1. \uc54c\ud30c \ud329\ud130\uc758 \uc885\ub958<\/h3>\n

\uac00\uaca9 \uae30\ubc18 \ud329\ud130: \uc774\ub3d9\ud3c9\uade0, \uc0c1\ub300\uac15\ub3c4\uc9c0\uc218(RSI) \ub4f1 \uac00\uaca9 \ub370\uc774\ud130\uc5d0\uc11c \uc720\ub3c4\ub41c \ud329\ud130<\/li>\n
\uc7ac\ubb34\uc81c\ud45c \uae30\ubc18 \ud329\ud130: PER, PBR, ROE \ub4f1 \uae30\uc5c5\uc758 \uc7ac\ubb34 \uc0c1\ud0dc\ub97c \ubc18\uc601\ud558\ub294 \ud329\ud130<\/li>\n

\uc2dc\uc7a5 \uc2ec\ub9ac \uae30\ubc18 \ud329\ud130: \ub274\uc2a4 \uae30\uc0ac\uc640 \uc18c\uc15c \ubbf8\ub514\uc5b4\uc758 \uac10\uc815 \ubd84\uc11d\uc744 \ud1b5\ud574 \ud30c\uc0dd\ub418\ub294 \ud329\ud130<\/li>\n<\/ul>\n

2.2. \uc54c\ud30c \ud329\ud130\uc758 \uc0dd\uc131<\/h3>\n
\uc54c\ud30c \ud329\ud130\ub294 \uc885\uc885 \uc5ec\ub7ec \ub370\uc774\ud130 \uc18c\uc2a4\ub97c \uacb0\ud569\ud558\uc5ec \uc0dd\uc131\ub429\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, \uac00\uaca9 \uae30\ubc18 \ud329\ud130\uc640 \uc7ac\ubb34\uc81c\ud45c \uae30\ubc18 \ud329\ud130\ub97c \uacb0\ud569\ud558\uc5ec \ubcf4\ub2e4 \uc815\uad50\ud55c \uc608\uce21 \ubaa8\ub378\uc744 \ub9cc\ub4e4 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774\ub97c \uc704\ud574\uc11c\ub294 \ub370\uc774\ud130 \uc804\ucc98\ub9ac\uc640 \ud53c\uccd0 \uc5d4\uc9c0\ub2c8\uc5b4\ub9c1\uc774 \ub9e4\uc6b0 \uc911\uc694\ud569\ub2c8\ub2e4.<\/p>\n

3. \uba38\uc2e0\ub7ec\ub2dd \ubaa8\ub378 \uad6c\ucd95\ud558\uae30<\/h2>\n
\uba38\uc2e0\ub7ec\ub2dd \ubaa8\ub378\uc744 \uad6c\ucd95\ud558\ub294 \uacfc\uc815\uc740 \uc5ec\ub7ec \ub2e8\uacc4\ub85c \ub098\ub258\uba70, \uac01 \ub2e8\uacc4\ub294 \uc131\uacf5\uc801\uc778 \ud2b8\ub808\uc774\ub529 \uc804\ub7b5\uc758 \ud575\uc2ec \uc694\uc18c\uc785\ub2c8\ub2e4.<\/p>\n

3.1. \ub370\uc774\ud130 \uc218\uc9d1<\/h3>\n
\uccab \ubc88\uc9f8 \ub2e8\uacc4\ub294 \ud544\uc694\ud55c \ub370\uc774\ud130\ub97c \uc218\uc9d1\ud558\ub294 \uac83\uc785\ub2c8\ub2e4. \uc8fc\uc2dd \uac00\uaca9, \uac70\ub798\ub7c9, \ud68c\uc0ac \uc7ac\ubb34\uc81c\ud45c, \uc0b0\uc5c5 \ub274\uc2a4 \ub4f1 \uc5ec\ub7ec \ud615\ud0dc\uc758 \ub370\uc774\ud130\uac00 \ud544\uc694\ud569\ub2c8\ub2e4. Yahoo Finance, Quandl, Alpha Vantage\uc640 \uac19\uc740 API\ub97c \ud65c\uc6a9\ud558\uc5ec \ub370\uc774\ud130\ub97c \uc218\uc9d1\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n

3.2. \ub370\uc774\ud130 \uc804\ucc98\ub9ac<\/h3>\n
\uc218\uc9d1\ud55c \ub370\uc774\ud130\ub294 \uc885\uc885 \ubd88\uc644\uc804\ud558\uac70\ub098 \ub178\uc774\uc988\uac00 \ud3ec\ud568\ub418\uc5b4 \uc788\uc2b5\ub2c8\ub2e4. \ub370\uc774\ud130\uc5d0\uc11c \uacb0\uce21\uce58\ub97c \uc81c\uac70\ud558\uace0, \ud544\uc694 \uc5c6\ub294 \uc5f4\uc744 \uc81c\uac70\ud558\uba70, \ubcc0\uc218\uc758 \uc2a4\ucf00\uc77c\uc744 \uc870\uc815\ud558\ub294 \uac83\uacfc \uac19\uc740 \uc804\ucc98\ub9ac \uacfc\uc815\uc774 \ud544\uc694\ud569\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, `StandardScaler<\/code>\ub97c \uc0ac\uc6a9\ud558\uc5ec \ub370\uc774\ud130\ub97c \ud45c\uc900\ud654\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n`

3.3. \ud53c\uccd0 \uc5d4\uc9c0\ub2c8\uc5b4\ub9c1<\/h3>\n\ud53c\uccd0 \uc5d4\uc9c0\ub2c8\uc5b4\ub9c1\uc740 \ubaa8\ub378\uc758 \uc608\uce21 \uc131\ub2a5\uc744 \ud06c\uac8c \ud5a5\uc0c1\uc2dc\ud0ac \uc218 \uc788\ub294 \uacfc\uc815\uc785\ub2c8\ub2e4. \uae30\uc874 \ub370\uc774\ud130\uc5d0\uc11c \uc0c8\ub85c\uc6b4 \ubcc0\uc218\ub97c \uc0dd\uc131\ud558\uac70\ub098, \uc5ec\ub7ec \ub370\uc774\ud130 \uc18c\uc2a4\ub97c \uacb0\ud569\ud558\uc5ec \ub354 \ud48d\ubd80\ud55c \uc815\ubcf4\ub97c \uc81c\uacf5\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4 \uc774\ub3d9\ud3c9\uade0, \ubcc0\ub3d9\uc131 \ub4f1\uacfc \uac19\uc740 \ucd94\uac00 \ubcc0\uc218\ub97c \uc0dd\uc131\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
3.4. \uba38\uc2e0\ub7ec\ub2dd \ubaa8\ub378 \uc120\ud0dd<\/h3>\n\uac00\uc7a5 \ub9ce\uc774 \uc0ac\uc6a9\ub418\ub294 \uba38\uc2e0\ub7ec\ub2dd \ubaa8\ub378\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4:<\/p>\n
\n\uc120\ud615 \ud68c\uadc0(Linear Regression)<\/li>\n
\uacb0\uc815 \ud2b8\ub9ac(Decision Trees)<\/li>\n
\ub79c\ub364 \ud3ec\ub808\uc2a4\ud2b8(Random Forest)<\/li>\n
\uc11c\ud3ec\ud2b8 \ubca1\ud130 \uba38\uc2e0(Support Vector Machine)<\/li>\n
K-\ucd5c\uadfc\uc811 \uc774\uc6c3(K-Nearest Neighbors)<\/li>\n<\/ul>\n\uac01 \ubaa8\ub378\uc758 \ud2b9\uc9d5\uc744 \uc774\ud574\ud558\uace0, \ub370\uc774\ud130\uc5d0 \uc801\ud569\ud55c \ubaa8\ub378\uc744 \uc120\ud0dd\ud558\uc5ec \ud559\uc2b5\uc2dc\ucf1c\uc57c \ud569\ub2c8\ub2e4.<\/p>\n
3.5. \ubaa8\ub378 \ud3c9\uac00<\/h3>\n\ud559\uc2b5\ub41c \ubaa8\ub378\uc740 \ub2e4\uc591\ud55c \uba54\ud2b8\ub9ad\uc744 \uc0ac\uc6a9\ud558\uc5ec \ud3c9\uac00\ud569\ub2c8\ub2e4. \uc77c\ubc18\uc801\uc778 \ubc29\ubc95\uc73c\ub85c\ub294 \uc815\ud655\ub3c4(Accuracy), \uc815\ubc00\ub3c4(Precision), \uc7ac\ud604\uc728(Recall), F1 Score\ub4f1\uc774 \uc788\uc2b5\ub2c8\ub2e4. \ub610\ud55c, \uad50\ucc28 \uac80\uc99d(Cross Validation)\uc744 \ud1b5\ud574 \ubaa8\ub378\uc758 \uc77c\ubc18\ud654 \uc131\ub2a5\uc744 \ud655\uc778\ud569\ub2c8\ub2e4.<\/p>\n
4. \ub525\ub7ec\ub2dd \ubaa8\ub378 \uad6c\ucd95\ud558\uae30<\/h2>\n\ub525\ub7ec\ub2dd \ubaa8\ub378\uc740 \ub354 \ubcf5\uc7a1\ud55c \uad6c\uc870\ub97c \uac00\uc9c0\uba70, \ub300\ub7c9\uc758 \ub370\uc774\ud130\uc640 \ub192\uc740 \uc5f0\uc0b0 \ub2a5\ub825\uc774 \ud544\uc694\ud569\ub2c8\ub2e4.<\/p>\n
4.1. \ub370\uc774\ud130 \uc900\ube44<\/h3>\n\ub525\ub7ec\ub2dd \ubaa8\ub378\uc744 \uc704\ud574\uc11c\ub294 \uc8fc\ub85c \ub300\ub7c9\uc758 \ub77c\ubca8\ub9c1\ub41c \ub370\uc774\ud130\uc14b\uc774 \uc694\uad6c\ub429\ub2c8\ub2e4. \uac01 \uac70\ub798 \uacb0\uc815\uc5d0 \ub300\ud55c \uc785\ub825\uacfc \ucd9c\ub825 \ub370\uc774\ud130\ub97c \uad6c\uc131\ud55c \ub4a4, \ud6c8\ub828, \uac80\uc99d \ubc0f \ud14c\uc2a4\ud2b8 \uc138\ud2b8\ub85c \ub098\ub204\uc5b4\uc57c \ud569\ub2c8\ub2e4.<\/p>\n
4.2. \uc2e0\uacbd\ub9dd \uc124\uacc4<\/h3>\n\uce90\ub178 \ubaa8\ub378, CNN(\ud569\uc131\uacf1 \uc2e0\uacbd\ub9dd), RNN(\uc21c\ud658 \uc2e0\uacbd\ub9dd) \ub4f1 \ub2e4\uc591\ud55c \uc2e0\uacbd\ub9dd \uc544\ud0a4\ud14d\ucc98\ub97c \uc120\ud0dd\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uac01 \ubaa8\ub378\uc758 \uad6c\uc870\uc640 \uc124\uc815\uc740 \ud574\uacb0\ud558\uace0\uc790 \ud558\ub294 \ubb38\uc81c\uc5d0 \ub530\ub77c \ub2e4\uc591\ud558\uac8c \uc870\uc815\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
4.3. \ubaa8\ub378 \ud6c8\ub828<\/h3>\n\ud6c8\ub828 \ub370\uc774\ud130\uc14b\uc744 \ud65c\uc6a9\ud558\uc5ec \uc2e0\uacbd\ub9dd\uc744 \ud559\uc2b5\uc2dc\ud0b5\ub2c8\ub2e4. \uc774 \uacfc\uc815\uc5d0\uc11c \uc190\uc2e4 \ud568\uc218\uc640 \uc635\ud2f0\ub9c8\uc774\uc800\ub97c \uc120\ud0dd\ud574\uc57c \ud569\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, Adam<\/code> \uc635\ud2f0\ub9c8\uc774\uc800\uc640 SparseCategoricalCrossentropy<\/code> \uc190\uc2e4 \ud568\uc218\ub97c \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
4.4. \ubaa8\ub378 \ud3c9\uac00 \ubc0f \ud29c\ub2dd<\/h3>\n\ubaa8\ub378\uc758 \uc131\ub2a5\uc744 \ud3c9\uac00\ud558\uace0 \ud544\uc694\ud55c \ud30c\ub77c\ubbf8\ud130(learning rate, batch size \ub4f1)\ub97c \uc870\uc815\ud558\uc5ec \ucd5c\uc801\ud654\ub97c \uc9c4\ud589\ud569\ub2c8\ub2e4. Grid Search<\/code>\ub098 Random Search<\/code>\ub97c \uc0ac\uc6a9\ud558\uc5ec \ud558\uc774\ud37c\ud30c\ub77c\ubbf8\ud130 \ucd5c\uc801\ud654\ub97c \uc218\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
5. \uc54c\ud30c \ud329\ud130\uc640 \uba38\uc2e0\ub7ec\ub2dd\uc758 \uacb0\ud569<\/h2>\n\uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc5d0\uc11c \uc54c\ud30c \ud329\ud130\ub97c \uba38\uc2e0\ub7ec\ub2dd \ubaa8\ub378\uc5d0 \ud1b5\ud569\ud558\ub294 \uac83\uc740 \uc218\uc775\uc131\uc744 \uadf9\ub300\ud654\ud558\ub294 \uac15\ub825\ud55c \ubc29\ubc95\uc785\ub2c8\ub2e4. \uba38\uc2e0\ub7ec\ub2dd \ubaa8\ub378\uc740 \uc54c\ud30c \ud329\ud130\uac00 \uc8fc\uc2dd\uc758 \uc131\uacfc\uc5d0 \ubbf8\uce58\ub294 \uc601\ud5a5\uc744 \ud559\uc2b5\ud558\uac8c \ub429\ub2c8\ub2e4.<\/p>\n
5.1. \uc54c\ud30c \ud329\ud130\uc758 \uba38\uc2e0\ub7ec\ub2dd \uc785\ub825<\/h3>\n\uac01 \uc54c\ud30c \ud329\ud130\ub294 \ud53c\uccd0\ub85c \ubcc0\ud658\ub418\uc5b4 \uba38\uc2e0\ub7ec\ub2dd \ubaa8\ub378\uc758 \uc785\ub825\uc73c\ub85c \uc0ac\uc6a9\ub429\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, \uc8fc\uac00\uc758 \uc77c\uc815 \uae30\uac04 \ub3d9\uc548\uc758 \ud3c9\uade0\uacfc \ubcc0\ub3d9\uc131\uc744 \uacc4\uc0b0\ud558\uc5ec \ubcc0\ud654\uc640 \ud568\uaed8 \ubaa8\ub378\uc758 \uc131\uacfc\ub97c \uc608\uce21\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
5.2. \ud30c\ub77c\ubbf8\ud130 \uc870\uc815\uacfc \ud53c\ub4dc\ubc31 \ub8e8\ud504<\/h3>\n\uc791\ub3d9 \uc911\uc778 \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529 \uc2dc\uc2a4\ud15c\uc740 \uc2e4\uc2dc\uac04\uc73c\ub85c \ub370\uc774\ud130\ub97c \uc218\uc9d1\ud558\uace0 \ud53c\ub4dc\ubc31\uc744 \ud1b5\ud574 \uc870\uc815\ud574\uc57c \ud569\ub2c8\ub2e4. \uc774\ub7ec\ud55c \ud53c\ub4dc\ubc31 \ub8e8\ud504\ub97c \ud1b5\ud574 \ubaa8\ub378\uc758 \uc131\ub2a5\uc744 \uc9c0\uc18d\uc801\uc73c\ub85c \uac1c\uc120\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
6. \uc2e4\uc804 \uc608\uc81c: \ud30c\uc774\uc36c\uc73c\ub85c \uad6c\ud604\ud558\uae30<\/h2>\n\uac04\ub2e8\ud55c \uba38\uc2e0\ub7ec\ub2dd \uae30\ubc18\uc758 \ud2b8\ub808\uc774\ub529 \uc54c\uace0\ub9ac\uc998\uc744 \ud30c\uc774\uc36c\uc73c\ub85c \uad6c\ud604\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \uc5ec\uae30\uc11c\ub294 pandas<\/code>\uc640 scikit-learn<\/code> \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc0ac\uc6a9\ud558\uc5ec \ub370\uc774\ud130\ub97c \uc804\ucc98\ub9ac\ud558\uace0 \uba38\uc2e0\ub7ec\ub2dd \ubaa8\ub378\uc744 \ud6c8\ub828\uc2dc\ud0a4\ub294 \uacfc\uc815\uc785\ub2c8\ub2e4.<\/p>\n
6.1. \ud544\uc694\ud55c \ub77c\uc774\ube0c\ub7ec\ub9ac \uc124\uce58<\/h3>\n!pip install pandas scikit-learn<\/code><\/pre>\n6.2. \ub370\uc774\ud130 \uc218\uc9d1<\/h3>\nimport pandas as pd\n\n# Yahoo Finance\uc5d0\uc11c \ub370\uc774\ud130 \uc218\uc9d1\ndata = pd.read_csv('https:\/\/query1.finance.yahoo.com\/v7\/finance\/download\/AAPL?period1=1609459200&period2=1640995200&interval=1d&events=history')\nprint(data.head())<\/code><\/pre>\n6.3. \ub370\uc774\ud130 \uc804\ucc98\ub9ac \ubc0f \ud53c\uccd0 \uc0dd\uc131<\/h3>\n# \uc774\ub3d9 \ud3c9\uade0 \ud53c\uccd0 \uc0dd\uc131\ndata['SMA_20'] = data['Close'].rolling(window=20).mean()\ndata['SMA_50'] = data['Close'].rolling(window=50).mean()\n\n# \uacb0\uce21\uac12 \uc81c\uac70\ndata = data.dropna()\n<\/code><\/pre>\n6.4. \uba38\uc2e0\ub7ec\ub2dd \ubaa8\ub378 \ud559\uc2b5 \ubc0f \ud3c9\uac00<\/h3>\nfrom sklearn.model_selection import train_test_split\nfrom sklearn.ensemble import RandomForestClassifier\nfrom sklearn.metrics import classification_report\n\n# \uc785\ub825(X)\uacfc \ucd9c\ub825(y)\ubcc0\uc218 \uc124\uc815\nX = data[['SMA_20', 'SMA_50']]\ny = (data['Close'].shift(-1) > data['Close']).astype(int)\n\n# \ud6c8\ub828 \ubc0f \ud14c\uc2a4\ud2b8 \ub370\uc774\ud130 \ubd84\ub9ac\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\n# \uc131\ub2a5 \ud3c9\uac00\npredictions = model.predict(X_test)\nprint(classification_report(y_test, predictions))<\/code><\/pre>\n7. \uacb0\ub860<\/h2>\n\uba38\uc2e0\ub7ec\ub2dd\uacfc \ub525\ub7ec\ub2dd\uc744 \ud65c\uc6a9\ud55c \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc740 \uc804\ud1b5\uc801\uc778 \ud22c\uc790 \ubc29\uc2dd\uc5d0\uc11c \ubc97\uc5b4\ub098 \uc0c8\ub85c\uc6b4 \uac00\ub2a5\uc131\uc744 \uc5f4\uc5b4\uc90d\ub2c8\ub2e4. \uc54c\ud30c \ud329\ud130\uc640 \uac19\uc740 \uc9c0\ud45c\ub97c \ud65c\uc6a9\ud558\uc5ec \ub370\uc774\ud130\ub97c \uc815\uad50\ud558\uac8c \ubd84\uc11d\ud558\uace0 \uc608\uce21\ud560 \uc218 \uc788\uc73c\uba70, \uc774\ub97c \ud1b5\ud574 \ubcf4\ub2e4 \uc131\uacf5\uc801\uc778 \ud2b8\ub808\uc774\ub529 \uc804\ub7b5\uc744 \uc218\ub9bd\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
\uc774 \uac15\uc88c\ub97c \ud1b5\ud574 \uba38\uc2e0\ub7ec\ub2dd\uacfc \ub525\ub7ec\ub2dd\uc758 \uae30\ucd08 \ubc0f \uc774\ub97c \ud2b8\ub808\uc774\ub529\uc5d0 \uc801\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \ubc30\uc6b8 \uc218 \uc788\uae30\ub97c \ubc14\ub78d\ub2c8\ub2e4. \uc9c0\uc18d\uc801\uc73c\ub85c \ud559\uc2b5\ud558\uace0, \ubc1c\uc804\ud558\ub294 \uae08\uc735 \uc2dc\uc7a5\uc5d0\uc11c\uc758 \uc131\uacf5\uc801 \ud22c\uc790\uc790\uac00 \ub418\uae30\ub97c \uc751\uc6d0\ud569\ub2c8\ub2e4.<\/p>\n
<\/body><\/p>\n","protected":false},"excerpt":{"rendered":"
\uae08\uc735 \uc2dc\uc7a5\uc740 \uc804\ud1b5\uc801\uc73c\ub85c \uc218\ub9ce\uc740 \ud2b8\ub808\uc774\ub354\uc640 \ud22c\uc790\uc790\ub4e4\uc774 \ucc38\uc5ec\ud558\ub294 \ubcf5\uc7a1\ud55c \uc2dc\uc2a4\ud15c\uc785\ub2c8\ub2e4. \ucd5c\uadfc \uba87 \ub144\uac04 \uba38\uc2e0\ub7ec\ub2dd(Machine Learning, ML)\uacfc \ub525\ub7ec\ub2dd(Deep Learning, DL)\uc758 \ubc1c\uc804\uc73c\ub85c \uc778\ud574 \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529(Algorithmic Trading)\uc774 \ud55c\uce35 \ub354 \ubc1c\uc804\ud558\uc600\uc2b5\ub2c8\ub2e4. \uc774 \uac15\uc88c\uc5d0\uc11c\ub294 \uba38\uc2e0\ub7ec\ub2dd\uacfc \ub525\ub7ec\ub2dd\uc744 \ud65c\uc6a9\ud55c \ud2b8\ub808\uc774\ub529 \uc804\ub7b5\uacfc \uc54c\ud30c \ud329\ud130\uc758 \uac1c\ub150\uc744 \uae4a\uc774 \uc788\uac8c \ud0d0\uad6c\ud558\uace0, \uc774\ub97c \uc2e4\uc9c8\uc801\uc73c\ub85c \uc801\uc6a9\ud560 \uc218 \uc788\ub294 \ubc29\ubc95\ub860\uc744 \uc81c\uc2dc\ud569\ub2c8\ub2e4. 1. \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc758 \uac1c\uc694 \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc740 \ucef4\ud4e8\ud130 \ud504\ub85c\uadf8\ub7a8\uc744 \uc774\uc6a9\ud558\uc5ec … \ub354 \ubcf4\uae30 “\uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub525\ub7ec\ub2dd \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529, \uc54c\ud30c \ud329\ud130 \ub9ac\uc18c\uc2a4”<\/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-29183","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, \uc54c\ud30c \ud329\ud130 \ub9ac\uc18c\uc2a4 - \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\/29183\/\" \/>\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, \uc54c\ud30c \ud329\ud130 \ub9ac\uc18c\uc2a4 - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"og:description\" content=\"\uae08\uc735 \uc2dc\uc7a5\uc740 \uc804\ud1b5\uc801\uc73c\ub85c \uc218\ub9ce\uc740 \ud2b8\ub808\uc774\ub354\uc640 \ud22c\uc790\uc790\ub4e4\uc774 \ucc38\uc5ec\ud558\ub294 \ubcf5\uc7a1\ud55c \uc2dc\uc2a4\ud15c\uc785\ub2c8\ub2e4. \ucd5c\uadfc \uba87 \ub144\uac04 \uba38\uc2e0\ub7ec\ub2dd(Machine Learning, ML)\uacfc \ub525\ub7ec\ub2dd(Deep Learning, DL)\uc758 \ubc1c\uc804\uc73c\ub85c \uc778\ud574 \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529(Algorithmic Trading)\uc774 \ud55c\uce35 \ub354 \ubc1c\uc804\ud558\uc600\uc2b5\ub2c8\ub2e4. \uc774 \uac15\uc88c\uc5d0\uc11c\ub294 \uba38\uc2e0\ub7ec\ub2dd\uacfc \ub525\ub7ec\ub2dd\uc744 \ud65c\uc6a9\ud55c \ud2b8\ub808\uc774\ub529 \uc804\ub7b5\uacfc \uc54c\ud30c \ud329\ud130\uc758 \uac1c\ub150\uc744 \uae4a\uc774 \uc788\uac8c \ud0d0\uad6c\ud558\uace0, \uc774\ub97c \uc2e4\uc9c8\uc801\uc73c\ub85c \uc801\uc6a9\ud560 \uc218 \uc788\ub294 \ubc29\ubc95\ub860\uc744 \uc81c\uc2dc\ud569\ub2c8\ub2e4. 1. \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc758 \uac1c\uc694 \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc740 \ucef4\ud4e8\ud130 \ud504\ub85c\uadf8\ub7a8\uc744 \uc774\uc6a9\ud558\uc5ec … \ub354 \ubcf4\uae30 "\uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub525\ub7ec\ub2dd \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529, \uc54c\ud30c \ud329\ud130 \ub9ac\uc18c\uc2a4"\" \/>\n<meta property=\"og:url\" content=\"https:\/\/atmokpo.com\/w\/29183\/\" \/>\n<meta property=\"og:site_name\" content=\"\ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"article:published_time\" content=\"2024-10-27T16:17:11+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-11-26T06:53:44+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\/29183\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/atmokpo.com\/w\/29183\/\"},\"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, \uc54c\ud30c \ud329\ud130 \ub9ac\uc18c\uc2a4\",\"datePublished\":\"2024-10-27T16:17:11+00:00\",\"dateModified\":\"2024-11-26T06:53:44+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/atmokpo.com\/w\/29183\/\"},\"wordCount\":46,\"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\/29183\/\",\"url\":\"https:\/\/atmokpo.com\/w\/29183\/\",\"name\":\"\uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub525\ub7ec\ub2dd \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529, \uc54c\ud30c \ud329\ud130 \ub9ac\uc18c\uc2a4 - 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