\uac70\ub798\ub7c9 (Volume)<\/li>\n<\/ul>\n\uc774 \ub370\uc774\ud130\ub294 \uc2dc\uac04\uc5d0 \ub530\ub77c \ubcc0\ud654\ud558\ubbc0\ub85c, \uc2dc\uac04\uc5d0 \ub530\ub77c \uc815\ub82c\ub41c \ud615\ud0dc\ub85c \ub370\uc774\ud130\ub97c \uc800\uc7a5\ud574\uc57c \ud569\ub2c8\ub2e4.<\/p>\n
2. Feature Engineering\uc758 \uc911\uc694\uc131<\/h3>\n
Feature Engineering\uc740 \ubaa8\ub378 \ud559\uc2b5\uc758 \uc131\ub2a5\uc744 \uc88c\uc6b0\ud558\ub294 \ub9e4\uc6b0 \uc911\uc694\ud55c \uacfc\uc815\uc785\ub2c8\ub2e4. \ube44\ud2b8\ucf54\uc778\uacfc \uac19\uc740 \uc2dc\uacc4\uc5f4 \ub370\uc774\ud130\uc5d0\uc11c \uc720\uc6a9\ud55c \uc815\ubcf4\ub97c \ucd94\ucd9c\ud558\uace0, \uc774\ub97c \ud559\uc2b5 \ubaa8\ub378\uc5d0 \uc804\ub2ec\ud560 \uc218 \uc788\ub3c4\ub85d \uac00\uacf5\ud574\uc57c \ud569\ub2c8\ub2e4. \uc5ec\uae30\uc11c\ub294 \uac70\ub798\ub7c9, \uc774\ub3d9\ud3c9\uade0, \uc0c1\ub300\uac15\ub3c4\uc9c0\uc218(RSI) \ub4f1\uc758 \uc9c0\ud45c\ub97c \uc0ac\uc6a9\ud558\uc5ec \ud2b9\uc9d5\uc744 \ucd94\ucd9c\ud558\ub294 \ubc29\ubc95\uc744 \uc0b4\ud3b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n
2.1 \uac70\ub798\ub7c9 (Volume)<\/h4>\n
\uac70\ub798\ub7c9\uc740 \uc2dc\uc7a5\uc758 \ud65c\uc131\ub3c4\ub97c \ub098\ud0c0\ub0b4\ub294 \uc9c0\ud45c\ub85c, \ub192\uc740 \uac70\ub798\ub7c9\uc740 \uac15\ud55c \ub9e4\uc218\uc138 \ub610\ub294 \ub9e4\ub3c4\uc138\ub97c \uc758\ubbf8\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ub530\ub77c\uc11c \uac70\ub798\ub7c9\uc744 \ud53c\uccd0\ub85c \ucd94\uac00\ud574\uc8fc\ub294 \uac83\uc740 \ubaa8\ub378\uc758 \uc608\uce21\ub825\uc744 \ub192\uc77c \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
2.2 \uc774\ub3d9\ud3c9\uade0 (Moving Average)<\/h4>\n
\uc774\ub3d9\ud3c9\uade0\uc740 \uc8fc\uc5b4\uc9c4 \uae30\uac04 \ub3d9\uc548\uc758 \uac00\uaca9 \ud3c9\uade0\uc744 \uacc4\uc0b0\ud558\uc5ec \uac00\uaca9\uc758 \uc6c0\uc9c1\uc784\uc744 \ubd80\ub4dc\ub7fd\uac8c \ub9cc\ub4e4\uc5b4\uc90d\ub2c8\ub2e4. \uc77c\ubc18\uc801\uc73c\ub85c \uc0ac\uc6a9\ub418\ub294 \uc774\ub3d9\ud3c9\uade0\uc5d0\ub294 \ub2e8\uae30 \uc774\ub3d9\ud3c9\uade0\uacfc \uc7a5\uae30 \uc774\ub3d9\ud3c9\uade0\uc774 \uc788\uc2b5\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, 5\uc77c \ubc0f 20\uc77c \uc774\ub3d9\ud3c9\uade0\uc744 \uacc4\uc0b0\ud558\uc5ec \uadf8 \uad50\ucc28\uc810\uc744 \ubd84\uc11d\ud558\uba74 \ub9e4\ub9e4 \uc2e0\ud638\ub97c \uc0dd\uc131\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
2.3 \uc0c1\ub300\uac15\ub3c4\uc9c0\uc218 (RSI)<\/h4>\n
RSI\ub294 \uc8fc\uc5b4\uc9c4 \uae30\uac04 \ub3d9\uc548\uc758 \uac00\uaca9\uc758 \uc0c1\uc2b9\uacfc \ud558\ub77d \ube44\uc728\uc744 \uacc4\uc0b0\ud558\uc5ec 0\uc5d0\uc11c 100 \uc0ac\uc774\uc758 \uac12\uc73c\ub85c \ub098\ud0c0\ub0c5\ub2c8\ub2e4. 70 \uc774\uc0c1\uc740 \uacfc\ub9e4\uc218, 30 \uc774\ud558\uc758 \uac12\uc740 \uacfc\ub9e4\ub3c4\ub85c \ud574\uc11d\ub418\uc5b4 \ub9e4\ub9e4 \uc2e0\ud638\ub85c \ud65c\uc6a9\ub420 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
3. Python\uc744 \uc774\uc6a9\ud55c \ub370\uc774\ud130 \uc218\uc9d1 \ubc0f Feature Engineering<\/h3>\n
\uc774\uc81c \uc2e4\uc81c\ub85c \ube44\ud2b8\ucf54\uc778 \ub370\uc774\ud130\ub97c \uc218\uc9d1\ud558\uace0, \uc704\uc5d0\uc11c \uc124\uba85\ud55c \uc9c0\ud45c\ub97c \ud1b5\ud574 \ud2b9\uc9d5\uc744 \ucd94\ucd9c\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \uc544\ub798 \ucf54\ub4dc\ub294 Python\uc758 pandas\uc640 numpy \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \ud65c\uc6a9\ud558\uc5ec \ube44\ud2b8\ucf54\uc778 \ub370\uc774\ud130\ub97c \ucc98\ub9ac\ud558\ub294 \uc608\uc81c\uc785\ub2c8\ub2e4.<\/p>\n
\nimport pandas as pd\nimport numpy as np\nimport pandas_datareader.data as web\nimport datetime\n\n# \ub370\uc774\ud130 \uc218\uc9d1\nstart = datetime.datetime(2020, 1, 1)\nend = datetime.datetime.now()\n\nbtc_data = web.DataReader('BTC-USD', 'yahoo', start, end)\n\n# \uc774\ub3d9\ud3c9\uade0 \uacc4\uc0b0\nbtc_data['MA5'] = btc_data['Close'].rolling(window=5).mean()\nbtc_data['MA20'] = btc_data['Close'].rolling(window=20).mean()\n\n# RSI \uacc4\uc0b0\ndef compute_rsi(data, window):\n delta = data['Close'].diff(1)\n gain = (delta.where(delta > 0, 0)).rolling(window=window).mean()\n loss = (-delta.where(delta < 0, 0)).rolling(window=window).mean()\n rs = gain \/ loss\n rsi = 100 - (100 \/ (1 + rs))\n return rsi\n\nbtc_data['RSI'] = compute_rsi(btc_data, 14)\n\n# \uac70\ub798\ub7c9 \ucd94\uac00\nbtc_data['Volume'] = btc_data['Volume']\n\n# \ucd5c\uc885 \ub370\uc774\ud130 \ud655\uc778\nprint(btc_data.tail())\n <\/code><\/pre>\n4. \uba38\uc2e0\ub7ec\ub2dd \ubaa8\ub378 \uad6c\ucd95 \ubc0f \uc608\uce21<\/h3>\n
\ud2b9\uc9d5\uc774 \uc900\ube44\ub418\uba74, \uc774\uc81c \uba38\uc2e0\ub7ec\ub2dd \ubaa8\ub378\uc744 \uad6c\ucd95\ud558\uc5ec \ube44\ud2b8\ucf54\uc778 \uac00\uaca9\uc774 \uc0c1\uc2b9\ud560\uc9c0 \ud558\ub77d\ud560\uc9c0\ub97c \uc608\uce21\ud574 \ubcfc \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc544\ub798\uc5d0\ub294 scikit-learn \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc0ac\uc6a9\ud55c \uc608\uc81c \ucf54\ub4dc\ub97c \uc81c\uacf5\ud569\ub2c8\ub2e4.<\/p>\n
\nfrom sklearn.model_selection import train_test_split\nfrom sklearn.ensemble import RandomForestClassifier\nfrom sklearn.metrics import classification_report, accuracy_score\n\n# \uacb0\uce21\uac12 \ucc98\ub9ac\nbtc_data.dropna(inplace=True)\n\n# \ud2b9\uc131\uacfc \ub808\uc774\ube14 \uc124\uc815\nfeatures = btc_data[['MA5', 'MA20', 'RSI', 'Volume']]\nlabels = (btc_data['Close'].shift(-1) > btc_data['Close']).astype(int) # \ub2e4\uc74c \ub0a0 \uc885\uac00 \uc0c1\uc2b9 \uc5ec\ubd80\n\n# \ud559\uc2b5 \ub370\uc774\ud130\uc640 \ud14c\uc2a4\ud2b8 \ub370\uc774\ud130\ub85c \ubd84\ud560\nX_train, X_test, y_train, y_test = train_test_split(features, labels, test_size=0.2, random_state=42)\n\n# \ubaa8\ub378 \ud559\uc2b5\nmodel = RandomForestClassifier(n_estimators=100, random_state=42)\nmodel.fit(X_train, y_train)\n\n# \uc608\uce21 \ubc0f \ud3c9\uac00\npredictions = model.predict(X_test)\nprint(classification_report(y_test, predictions))\nprint('Accuracy:', accuracy_score(y_test, predictions))\n <\/code><\/pre>\n5. \ucd94\uac00 \uace0\ub824\uc0ac\ud56d<\/h3>\n
\uc790\ub3d9\ub9e4\ub9e4 \uc2dc\uc2a4\ud15c\uc744 \uc6b4\uc601\ud558\uae30 \uc704\ud574\uc11c\ub294 \ub2e4\uc74c\uacfc \uac19\uc740 \ucd94\uac00\uc801\uc778 \uace0\ub824\uc0ac\ud56d\uc774 \ud544\uc694\ud569\ub2c8\ub2e4:<\/p>\n
\n- \ub9ac\uc2a4\ud06c \uad00\ub9ac:<\/strong> \ud22c\uc790 \uae08\uc561 \ubc0f \uc190\uc2e4 \ud55c\ub3c4\ub97c \uc124\uc815\ud558\uc5ec \ub9ac\uc2a4\ud06c\ub97c \uad00\ub9ac\ud574\uc57c \ud569\ub2c8\ub2e4.<\/li>\n
- \ub370\uc774\ud130 \uc811\uadfc\uc131:<\/strong> \ub370\uc774\ud130\uc758 \uc9c8\uacfc \uc591\uc774 \ubaa8\ub378\uc758 \uc131\ub2a5\uc5d0 \ud070 \uc601\ud5a5\uc744 \ubbf8\uce58\ubbc0\ub85c, \uc2e0\ub8b0\ud560 \uc218 \uc788\ub294 \ub370\uc774\ud130 \uc18c\uc2a4\ub97c \ud655\ubcf4\ud574\uc57c \ud569\ub2c8\ub2e4.<\/li>\n
- \ubaa8\ub378 \uc9c0\uc18d\uc801 \uac1c\uc120:<\/strong> \uc0c8\ub85c\uc6b4 \ub370\uc774\ud130\ub97c \ud1b5\ud574 \ubaa8\ub378\uc744 \uc8fc\uae30\uc801\uc73c\ub85c \uc7ac\ud559\uc2b5\ud558\uc5ec \uc131\ub2a5\uc744 \uac1c\uc120\ud560 \ud544\uc694\uac00 \uc788\uc2b5\ub2c8\ub2e4.<\/li>\n<\/ul>\n
6. \uacb0\ub860<\/h3>\n
\ub525\ub7ec\ub2dd\uacfc \uba38\uc2e0\ub7ec\ub2dd\uc744 \ud65c\uc6a9\ud55c \ube44\ud2b8\ucf54\uc778 \uc790\ub3d9\ub9e4\ub9e4 \uc2dc\uc2a4\ud15c\uc758 \uad6c\ucd95\uc740 \ub370\uc774\ud130\ub97c \uc774\ud574\ud558\uace0 \uc720\uc6a9\ud55c \uc9c0\ud45c\ub97c \ucd94\ucd9c\ud558\ub294 \uac83\uc5d0\uc11c \uc2dc\uc791\ub429\ub2c8\ub2e4. \uc774 \uacfc\uc815\uc740 \uac70\ub798\uc758 \ud6a8\uc728\uc131\uc744 \uadf9\ub300\ud654\ud558\uace0, \uc798 \uc124\uacc4\ub41c \ubaa8\ub378\uc774 \uc9c0\uc18d\uc801\uc73c\ub85c \uc9c4\ud654\ud560 \uc218 \uc788\ub3c4\ub85d \ud574\uc90d\ub2c8\ub2e4. \ubcf8 \uae00\uc5d0\uc11c \uc81c\uc2dc\ud55c \uacfc\uc815\uc744 \ud1b5\ud574 \ub3c5\uc790 \uc5ec\ub7ec\ubd84\uc774 \uc790\uc2e0\uc758 \uc790\ub3d9\ub9e4\ub9e4 \uc2dc\uc2a4\ud15c\uc744 \uad6c\ucd95\ud558\ub294 \ub370 \ub3c4\uc6c0\uc774 \ub418\uae30\ub97c \ubc14\ub78d\ub2c8\ub2e4.<\/p>\n
\uc55e\uc73c\ub85c\ub3c4 \ub2e4\uc591\ud55c \uae30\ubc95\uc744 \uc368\ubcf4\uba70 \uc2dc\uc7a5\uc758 \ubcc0\ud654\uc5d0 \ubd80\uc751\ud558\ub294 \ub2a5\ub3d9\uc801\uc778 \uc790\ub3d9\ub9e4\ub9e4 \uc2dc\uc2a4\ud15c\uc744 \uac1c\ubc1c\ud574 \ub098\uac00\uae38 \ubc14\ub78d\ub2c8\ub2e4.<\/p>\n
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Feature Engineering: \uac70\ub798\ub7c9, \uc774\ub3d9\ud3c9\uade0, RSI \ub4f1 \uc5ec\ub7ec \uc9c0\ud45c\ub97c \ud2b9\uc9d5\uc73c\ub85c \ucd94\ucd9c\ud558\uace0 \uba38\uc2e0\ub7ec\ub2dd \ubaa8\ub378\uc5d0 \uc801\uc6a9 \ucd5c\uadfc \uba87 \ub144\uac04 \uc554\ud638\ud654\ud3d0 \uc2dc\uc7a5\uc740 \uae09\uaca9\ud558\uac8c \uc131\uc7a5\ud558\uace0 \uc788\uc73c\uba70, \uadf8 \uc911\uc5d0\uc11c \ube44\ud2b8\ucf54\uc778\uc740 \uac00\uc7a5 \ub110\ub9ac \uc54c\ub824\uc9c4 \ub514\uc9c0\ud138 \uc790\uc0b0\uc785\ub2c8\ub2e4. \uc774\uc640 \uac19\uc740 \uc790\uc0b0\uc758 \uc790\ub3d9\ub9e4\ub9e4\ub294 \ub9ce\uc740 \ud22c\uc790\uc790\ub4e4\uc5d0\uac8c \ub9e4\ub825\uc801\uc778 \uc120\ud0dd\uc774 \ub418\uc5c8\uc2b5\ub2c8\ub2e4. \ubcf8 \uae00\uc5d0\uc11c\ub294 \uba38\uc2e0\ub7ec\ub2dd\uacfc \ub525\ub7ec\ub2dd\uc744 \ud65c\uc6a9\ud558\uc5ec \ube44\ud2b8\ucf54\uc778 \uac70\ub798 \uc2dc \uc0ac\uc6a9 \uac00\ub2a5\ud55c \ub2e4\uc591\ud55c \ud53c\uccd0\ub97c \ucd94\ucd9c\ud558\uace0, \uc774\ub97c \uae30\ubc18\uc73c\ub85c \ud55c \ubaa8\ub378\uc758 … \ub354 \ubcf4\uae30 “\ub525\ub7ec\ub2dd\uacfc \uba38\uc2e0\ub7ec\ub2dd\uc744 \ud65c\uc6a9\ud55c \uc790\ub3d9\ub9e4\ub9e4, Feature Engineering \uac70\ub798\ub7c9, \uc774\ub3d9\ud3c9\uade0, RSI \ub4f1 \uc5ec\ub7ec \uc9c0\ud45c\ub97c \ud2b9\uc9d5\uc73c\ub85c \ucd94\ucd9c\ud558\uace0 \uba38\uc2e0\ub7ec\ub2dd \ubaa8\ub378\uc5d0 \uc801\uc6a9.”<\/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-31353","post","type-post","status-publish","format-standard","hentry","category-29"],"yoast_head":"\n\ub525\ub7ec\ub2dd\uacfc \uba38\uc2e0\ub7ec\ub2dd\uc744 \ud65c\uc6a9\ud55c \uc790\ub3d9\ub9e4\ub9e4, Feature Engineering \uac70\ub798\ub7c9, \uc774\ub3d9\ud3c9\uade0, RSI \ub4f1 \uc5ec\ub7ec \uc9c0\ud45c\ub97c \ud2b9\uc9d5\uc73c\ub85c \ucd94\ucd9c\ud558\uace0 \uba38\uc2e0\ub7ec\ub2dd \ubaa8\ub378\uc5d0 \uc801\uc6a9. - 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