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"}}},{"cell_type":"code","source":"import os\nimport random\nimport pandas as pd\nimport numpy as np\nimport torch\nimport math\nfrom lightgbm import LGBMRegressor\nimport lightgbm as lgb\nimport optuna \nimport optuna.integration.lightgbm as lgbo\noptuna.logging.disable_default_handler()\nfrom sklearn.metrics import mean_absolute_error\nimport gresearch_crypto\nimport datetime\nfrom sklearn.preprocessing import RobustScaler\nfrom sklearn.metrics import mean_absolute_error as MSE\nimport warnings\nfrom sklearn.decomposition import TruncatedSVD\nfrom sklearn.decomposition import PCA\n\nwarnings.filterwarnings('ignore')\n\nTRAIN_CSV = '/kaggle/input/g-research-crypto-forecasting/train.csv'\nASSET_DETAILS_CSV = '/kaggle/input/g-research-crypto-forecasting/asset_details.csv'\n\nSEED = 20\n\nREMOVE_LB_TEST_OVERLAPPING_DATA = True","metadata":{"papermill":{"duration":2.085012,"end_time":"2021-12-10T09:49:17.507326","exception":false,"start_time":"2021-12-10T09:49:15.422314","status":"completed"},"tags":[],"execution":{"iopub.status.busy":"2022-01-08T11:09:12.015549Z","iopub.execute_input":"2022-01-08T11:09:12.015812Z","iopub.status.idle":"2022-01-08T11:09:14.971903Z","shell.execute_reply.started":"2022-01-08T11:09:12.015742Z","shell.execute_reply":"2022-01-08T11:09:14.970957Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"%%capture\n'''\n!cp ../input/talibinstall/ta-lib-0.4.0-src.tar.gzh  ./ta-lib-0.4.0-src.tar.gz\n!tar -xzvf ta-lib-0.4.0-src.tar.gz > null\n!cd ta-lib && ./configure --prefix=/usr > null && make  > null && make install > null\n!cp ../input/talibinstall/TA-Lib-0.4.21.tar.gzh TA-Lib-0.4.21.tar.gz\n!pip install TA-Lib-0.4.21.tar.gz > null\n!pip install ../input/talibinstall/numpy-1.21.4-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl >null\nimport talib as ta\n'''","metadata":{"execution":{"iopub.status.busy":"2022-01-08T11:09:14.973364Z","iopub.execute_input":"2022-01-08T11:09:14.973604Z","iopub.status.idle":"2022-01-08T11:09:14.980830Z","shell.execute_reply.started":"2022-01-08T11:09:14.973573Z","shell.execute_reply":"2022-01-08T11:09:14.980104Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"def fix_all_seeds(seed):\n    np.random.seed(seed)\n    random.seed(seed)\n    os.environ['PYTHONHASHSEED'] = str(seed)\n\nfix_all_seeds(SEED)","metadata":{"papermill":{"duration":0.04245,"end_time":"2021-12-10T09:52:27.953411","exception":false,"start_time":"2021-12-10T09:52:27.910961","status":"completed"},"tags":[],"execution":{"iopub.status.busy":"2022-01-08T11:09:14.981975Z","iopub.execute_input":"2022-01-08T11:09:14.982176Z","iopub.status.idle":"2022-01-08T11:09:14.994244Z","shell.execute_reply.started":"2022-01-08T11:09:14.982150Z","shell.execute_reply":"2022-01-08T11:09:14.993376Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"df_train = pd.read_csv(TRAIN_CSV)\ndf_train","metadata":{"papermill":{"duration":53.09308,"end_time":"2021-12-10T09:53:21.078966","exception":false,"start_time":"2021-12-10T09:52:27.985886","status":"completed"},"tags":[],"execution":{"iopub.status.busy":"2022-01-08T11:09:14.996691Z","iopub.execute_input":"2022-01-08T11:09:14.997311Z","iopub.status.idle":"2022-01-08T11:09:55.303816Z","shell.execute_reply.started":"2022-01-08T11:09:14.997269Z","shell.execute_reply":"2022-01-08T11:09:55.303002Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"df_test = pd.read_csv('../input/g-research-crypto-forecasting/example_test.csv')\ndf_test.head()","metadata":{"papermill":{"duration":0.058385,"end_time":"2021-12-10T09:53:21.169247","exception":false,"start_time":"2021-12-10T09:53:21.110862","status":"completed"},"tags":[],"execution":{"iopub.status.busy":"2022-01-08T11:09:55.304860Z","iopub.execute_input":"2022-01-08T11:09:55.305112Z","iopub.status.idle":"2022-01-08T11:09:55.325375Z","shell.execute_reply.started":"2022-01-08T11:09:55.305083Z","shell.execute_reply":"2022-01-08T11:09:55.324556Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"### データを直近のものだけにする　今は無効化\n\n### Make the data only the latest one. Now disabled","metadata":{"papermill":{"duration":0.03197,"end_time":"2021-12-10T09:53:21.234578","exception":false,"start_time":"2021-12-10T09:53:21.202608","status":"completed"},"tags":[]}},{"cell_type":"code","source":"%%capture\n'''\nl =len(df_train)\nl = l//3\ndf_train = df_train[l:].reset_index(drop=True)\ndf_train\n#'''","metadata":{"papermill":{"duration":0.041264,"end_time":"2021-12-10T09:53:21.308028","exception":false,"start_time":"2021-12-10T09:53:21.266764","status":"completed"},"tags":[],"execution":{"iopub.status.busy":"2022-01-08T11:09:55.326322Z","iopub.execute_input":"2022-01-08T11:09:55.326836Z","iopub.status.idle":"2022-01-08T11:09:55.332420Z","shell.execute_reply.started":"2022-01-08T11:09:55.326805Z","shell.execute_reply":"2022-01-08T11:09:55.331694Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## Leakになるデータを外す。validデータを作る。\n\n## Remove the data that becomes Leak. Create valid data.","metadata":{"papermill":{"duration":0.032161,"end_time":"2021-12-10T09:53:21.372634","exception":false,"start_time":"2021-12-10T09:53:21.340473","status":"completed"},"tags":[]}},{"cell_type":"code","source":"# Remove the future\nif REMOVE_LB_TEST_OVERLAPPING_DATA:\n    df_train['datetime'] = pd.to_datetime(df_train['timestamp'], unit='s')\n    df_valid = df_train[(df_train['datetime'] > '2021-06-13 00:00:00')].reset_index(drop=True)\n    df_train = df_train[(df_train['datetime'] < '2021-06-13 00:00:00')].reset_index(drop=True)\n    #df_valid = df_train[(df_train['datetime'] > '2021-06-13 00:00:00') | (df_train['datetime'] < '2019-01-01 00:00:00')]\n    #df_train = df_train[(df_train['datetime'] < '2021-06-13 00:00:00') | (df_train['datetime'] > '2019-01-01 00:00:00')]\n    #print('delete data  ','train=',len(df_train),'  valid=',len(df_valid))\n    df_train  = df_train.drop(['datetime'],axis=1)\n    df_valid  = df_valid.drop(['datetime'],axis=1)\nelse:\n    df_train['datetime'] = pd.to_datetime(df_train['timestamp'], unit='s')\n    df_valid = df_train[(df_train['datetime'] > '2021-06-13 00:00:00')].reset_index(drop=True)\n    df_train  = df_train.drop(['datetime'],axis=1)\n    df_valid  = df_valid.drop(['datetime'],axis=1)\n","metadata":{"papermill":{"duration":5.009746,"end_time":"2021-12-10T09:53:26.415694","exception":false,"start_time":"2021-12-10T09:53:21.405948","status":"completed"},"tags":[],"execution":{"iopub.status.busy":"2022-01-08T11:09:55.333475Z","iopub.execute_input":"2022-01-08T11:09:55.333744Z","iopub.status.idle":"2022-01-08T11:09:59.773984Z","shell.execute_reply.started":"2022-01-08T11:09:55.333716Z","shell.execute_reply":"2022-01-08T11:09:59.773228Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"### TargetがNanのものを削除","metadata":{}},{"cell_type":"code","source":"df_train = df_train.dropna(subset=['Target']).reset_index(drop=True)\ndf_valid = df_valid.dropna(subset=['Target']).reset_index(drop=True)\n#bkup =df_valid.copy()","metadata":{"papermill":{"duration":0.214245,"end_time":"2021-12-10T09:53:26.663743","exception":false,"start_time":"2021-12-10T09:53:26.449498","status":"completed"},"tags":[],"execution":{"iopub.status.busy":"2022-01-08T11:09:59.774986Z","iopub.execute_input":"2022-01-08T11:09:59.775185Z","iopub.status.idle":"2022-01-08T11:10:01.801884Z","shell.execute_reply.started":"2022-01-08T11:09:59.775160Z","shell.execute_reply":"2022-01-08T11:10:01.801020Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## 学習データの非連続化\n\n## Discontinuity of training data","metadata":{}},{"cell_type":"code","source":"#df_train = df_train.sample(n=len(df_train), random_state=0)\ndf_valid = df_valid.sample(n=len(df_valid), random_state=0)","metadata":{"execution":{"iopub.status.busy":"2022-01-08T11:10:01.803084Z","iopub.execute_input":"2022-01-08T11:10:01.803331Z","iopub.status.idle":"2022-01-08T11:10:02.132207Z","shell.execute_reply.started":"2022-01-08T11:10:01.803302Z","shell.execute_reply":"2022-01-08T11:10:02.131340Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"df_valid","metadata":{"execution":{"iopub.status.busy":"2022-01-08T11:10:02.133349Z","iopub.execute_input":"2022-01-08T11:10:02.133567Z","iopub.status.idle":"2022-01-08T11:10:02.153664Z","shell.execute_reply.started":"2022-01-08T11:10:02.133541Z","shell.execute_reply":"2022-01-08T11:10:02.152790Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"df_asset_details = pd.read_csv(ASSET_DETAILS_CSV).sort_values(\"Asset_ID\")\ndf_asset_details","metadata":{"papermill":{"duration":0.052934,"end_time":"2021-12-10T09:53:26.748348","exception":false,"start_time":"2021-12-10T09:53:26.695414","status":"completed"},"tags":[],"execution":{"iopub.status.busy":"2022-01-08T11:10:02.154657Z","iopub.execute_input":"2022-01-08T11:10:02.154854Z","iopub.status.idle":"2022-01-08T11:10:02.172365Z","shell.execute_reply.started":"2022-01-08T11:10:02.154829Z","shell.execute_reply":"2022-01-08T11:10:02.171574Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"#asset_weight_dict =df_asset_details[['Asset_ID','Weight']].to_dict()\n#df_train['Weight'] = df_train['Asset_ID'].map(asset_weight_dict['Weight'])\n#df_valid['Weight'] = df_valid['Asset_ID'].map(asset_weight_dict['Weight'])","metadata":{"execution":{"iopub.status.busy":"2022-01-08T11:10:02.173688Z","iopub.execute_input":"2022-01-08T11:10:02.173955Z","iopub.status.idle":"2022-01-08T11:10:02.177379Z","shell.execute_reply.started":"2022-01-08T11:10:02.173923Z","shell.execute_reply":"2022-01-08T11:10:02.176585Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"df_train","metadata":{"execution":{"iopub.status.busy":"2022-01-08T11:10:02.180340Z","iopub.execute_input":"2022-01-08T11:10:02.180571Z","iopub.status.idle":"2022-01-08T11:10:02.205039Z","shell.execute_reply.started":"2022-01-08T11:10:02.180541Z","shell.execute_reply":"2022-01-08T11:10:02.204192Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## Feature Function を作る\n\n## Make Feature Function","metadata":{"papermill":{"duration":0.032068,"end_time":"2021-12-10T09:53:26.814237","exception":false,"start_time":"2021-12-10T09:53:26.782169","status":"completed"},"tags":[]}},{"cell_type":"code","source":"from sklearn.model_selection import train_test_split\nimport lightgbm as lgb\nfrom sklearn.metrics import accuracy_score\n#!pip install optuna\nimport optuna \nimport optuna.integration.lightgbm as lgbo","metadata":{"papermill":{"duration":0.812312,"end_time":"2021-12-10T09:53:27.658903","exception":false,"start_time":"2021-12-10T09:53:26.846591","status":"completed"},"tags":[],"execution":{"iopub.status.busy":"2022-01-08T11:10:02.206396Z","iopub.execute_input":"2022-01-08T11:10:02.206975Z","iopub.status.idle":"2022-01-08T11:10:02.211116Z","shell.execute_reply.started":"2022-01-08T11:10:02.206935Z","shell.execute_reply":"2022-01-08T11:10:02.210497Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"def log_return(series, periods=5):\n    return np.log(series).diff(periods=periods).fillna(0)\n\n# Two features from the competition tutorial\ndef upper_shadow(df): return df['High'] - np.maximum(df['Close'], df['Open'])\ndef lower_shadow(df): return np.minimum(df['Close'], df['Open']) - df['Low']\ndef sigmoid(a):\n    s = 1 / (1 + math.e**-a)\n    return s","metadata":{"papermill":{"duration":0.040158,"end_time":"2021-12-10T09:53:27.732231","exception":false,"start_time":"2021-12-10T09:53:27.692073","status":"completed"},"tags":[],"execution":{"iopub.status.busy":"2022-01-08T11:10:02.212450Z","iopub.execute_input":"2022-01-08T11:10:02.212668Z","iopub.status.idle":"2022-01-08T11:10:02.223836Z","shell.execute_reply.started":"2022-01-08T11:10:02.212640Z","shell.execute_reply":"2022-01-08T11:10:02.223034Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# In Progress","metadata":{"papermill":{"duration":0.031527,"end_time":"2021-12-10T09:53:27.795736","exception":false,"start_time":"2021-12-10T09:53:27.764209","status":"completed"},"tags":[]}},{"cell_type":"code","source":"df_train","metadata":{"execution":{"iopub.status.busy":"2022-01-08T11:10:02.225195Z","iopub.execute_input":"2022-01-08T11:10:02.225787Z","iopub.status.idle":"2022-01-08T11:10:02.255689Z","shell.execute_reply.started":"2022-01-08T11:10:02.225741Z","shell.execute_reply":"2022-01-08T11:10:02.254904Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"df_train.isnull().sum()","metadata":{"execution":{"iopub.status.busy":"2022-01-08T11:10:02.257048Z","iopub.execute_input":"2022-01-08T11:10:02.257768Z","iopub.status.idle":"2022-01-08T11:10:02.678186Z","shell.execute_reply.started":"2022-01-08T11:10:02.257723Z","shell.execute_reply":"2022-01-08T11:10:02.677343Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"---------------","metadata":{}},{"cell_type":"markdown","source":"# 行列の標準化,(PCA)","metadata":{}},{"cell_type":"code","source":"#%%capture\n#'''\ndf_train = df_train.fillna(-1)\ndf_train.VWAP = df_train.VWAP.replace(np.inf,0)\ndf_train.VWAP = df_train.VWAP.replace(-np.inf,0)\n\ndf_valid = df_valid.fillna(-1)\ndf_valid.VWAP = df_valid.VWAP.replace(np.inf,0)\ndf_valid.VWAP = df_valid.VWAP.replace(-np.inf,0)\n\ndfs = df_train.iloc[:, 2:-1].apply(lambda x: (x-x.mean())/x.std(), axis=0)\ndf_train.iloc[:, 2:-1] = dfs \n\ndfs = df_valid.iloc[:, 2:-1].apply(lambda x: (x-x.mean())/x.std(), axis=0)\ndf_valid.iloc[:, 2:-1] = dfs \n#'''","metadata":{"execution":{"iopub.status.busy":"2022-01-08T11:10:02.679719Z","iopub.execute_input":"2022-01-08T11:10:02.680274Z","iopub.status.idle":"2022-01-08T11:10:07.590809Z","shell.execute_reply.started":"2022-01-08T11:10:02.680233Z","shell.execute_reply":"2022-01-08T11:10:07.590020Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"df_train","metadata":{"execution":{"iopub.status.busy":"2022-01-08T11:10:07.591812Z","iopub.execute_input":"2022-01-08T11:10:07.592033Z","iopub.status.idle":"2022-01-08T11:10:07.612042Z","shell.execute_reply.started":"2022-01-08T11:10:07.592007Z","shell.execute_reply":"2022-01-08T11:10:07.611337Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"%%capture\n'''\n#主成分分析の実行\npca = PCA()\npca.fit(dfs)\n# データを主成分空間に写像\nfeature = pca.transform(dfs)\n# 主成分得点\ndata = pd.DataFrame(feature, columns=[\"PC{}\".format(x + 1) for x in range(len(dfs.columns))])\ndel dfs\ndel feature\ndf_train = pd.concat([df_train,data],axis=1)\ndel data\ndf_train\n'''\n#dfs = df_train.iloc[:, 2:-1].apply(lambda x: (x-x.mean())/x.std(), axis=0)\n#df_train.iloc[:, 2:-1] = dfs \n","metadata":{"execution":{"iopub.status.busy":"2022-01-08T11:10:07.613341Z","iopub.execute_input":"2022-01-08T11:10:07.613545Z","iopub.status.idle":"2022-01-08T11:10:07.619908Z","shell.execute_reply.started":"2022-01-08T11:10:07.613519Z","shell.execute_reply":"2022-01-08T11:10:07.618996Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"%%capture\n'''\npca = PCA()\npca.fit(dfs)\n\nfeature = pca.transform(dfs)\ndata = pd.DataFrame(feature, columns=[\"PC{}\".format(x + 1) for x in range(len(dfs.columns))])\ndel dfs\ndel feature\ndf_valid = pd.concat([df_valid,data],axis=1)\ndel data\n'''\n#dfs = df_valid.iloc[:, 2:-1].apply(lambda x: (x-x.mean())/x.std(), axis=0)\n","metadata":{"execution":{"iopub.status.busy":"2022-01-08T11:10:07.621084Z","iopub.execute_input":"2022-01-08T11:10:07.621415Z","iopub.status.idle":"2022-01-08T11:10:07.633248Z","shell.execute_reply.started":"2022-01-08T11:10:07.621381Z","shell.execute_reply":"2022-01-08T11:10:07.632638Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# RobustScaler","metadata":{}},{"cell_type":"code","source":"%%capture\n'''\ndf_train = df_train.fillna(-1)\ndf_train.VWAP = df_train.VWAP.replace(np.inf,0)\ndf_train.VWAP = df_train.VWAP.replace(-np.inf,0)\n\ndf_valid = df_valid.fillna(-1)\ndf_valid.VWAP = df_valid.VWAP.replace(np.inf,0)\ndf_valid.VWAP = df_valid.VWAP.replace(-np.inf,0)\n\nrs = RobustScaler().fit(df_train.iloc[:,2:-1])\ndts = rs.transform(df_train.iloc[:,2:-1])\ndf_train.iloc[:,2:-1] = dts\n\nrs = RobustScaler().fit(df_valid.iloc[:,2:-1])\ndts = rs.transform(df_valid.iloc[:,2:-1])\ndf_valid.iloc[:,2:-1] = dts\n'''","metadata":{"execution":{"iopub.status.busy":"2022-01-08T11:10:07.634388Z","iopub.execute_input":"2022-01-08T11:10:07.634762Z","iopub.status.idle":"2022-01-08T11:10:07.645200Z","shell.execute_reply.started":"2022-01-08T11:10:07.634721Z","shell.execute_reply":"2022-01-08T11:10:07.644568Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"--------------------------------","metadata":{}},{"cell_type":"code","source":"def hlco_ratio(df): \n    return (df['High'] - df['Low'])/(df['Close']-df['Open'])\ndef upper_shadow(df):\n    return df['High'] - np.maximum(df['Close'], df['Open'])\ndef lower_shadow(df):\n    return np.minimum(df['Close'], df['Open']) - df['Low']\n","metadata":{"execution":{"iopub.status.busy":"2022-01-08T11:10:07.646389Z","iopub.execute_input":"2022-01-08T11:10:07.646809Z","iopub.status.idle":"2022-01-08T11:10:07.659166Z","shell.execute_reply.started":"2022-01-08T11:10:07.646773Z","shell.execute_reply":"2022-01-08T11:10:07.658522Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"def add_features2(df):\n    df['Upper_Shadow'] = upper_shadow(df)\n    df['hlco_ratio'] = hlco_ratio(df)\n    df['Lower_Shadow'] = lower_shadow(df)\n    times = pd.to_datetime(df.index,unit=\"s\",infer_datetime_format=True)\n    \n    #df[\"year\"] = times.year\n    #df[\"month\"] = times.month\n    \n    df[\"hour\"] = times.hour  \n    df[\"dayofweek\"] = times.dayofweek \n    df[\"day\"] = times.day \n    if 1==1:\n        \n        df['open2close'] = df['Close'] / df['Open']\n        df['high2low'] = df['High'] / df['Low']\n        mean_price = df[['Open', 'High', 'Low', 'Close']].mean(axis=1)\n        median_price = df[['Open', 'High', 'Low', 'Close']].median(axis=1)\n        df['high2mean'] = df['High'] / mean_price\n        df['low2mean'] = df['Low'] / mean_price\n        df['high2median'] = df['High'] / median_price\n        df['low2median'] = df['Low'] / median_price\n        df['volume2count'] = df['Volume'] / (df['Count'] + 1)\n    \n        df[\"high_div_low\"] = df[\"High\"] / df[\"Low\"]\n        df[\"open_sub_close\"] = df[\"Open\"] - df[\"Close\"]\n        \n    return df","metadata":{"execution":{"iopub.status.busy":"2022-01-08T11:10:07.660419Z","iopub.execute_input":"2022-01-08T11:10:07.660836Z","iopub.status.idle":"2022-01-08T11:10:07.671693Z","shell.execute_reply.started":"2022-01-08T11:10:07.660804Z","shell.execute_reply":"2022-01-08T11:10:07.671125Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"def add_features(df):\n    df['Upper_Shadow'] = upper_shadow(df)\n    df['hlco_ratio'] = hlco_ratio(df)\n    df['Lower_Shadow'] = lower_shadow(df)\n    times = pd.to_datetime(df.index,unit=\"s\",infer_datetime_format=True)\n    \n    df[\"year\"] = times.year\n    df[\"month\"] = times.month\n    \n    df[\"hour\"] = times.hour  \n    df[\"dayofweek\"] = times.dayofweek \n    df[\"day\"] = times.day \n    if 1==1:\n        \n        df['open2close'] = df['Close'] / df['Open']\n        df['high2low'] = df['High'] / df['Low']\n        mean_price = df[['Open', 'High', 'Low', 'Close']].mean(axis=1)\n        median_price = df[['Open', 'High', 'Low', 'Close']].median(axis=1)\n        df['high2mean'] = df['High'] / mean_price\n        df['low2mean'] = df['Low'] / mean_price\n        df['high2median'] = df['High'] / median_price\n        df['low2median'] = df['Low'] / median_price\n        df['volume2count'] = df['Volume'] / (df['Count'] + 1)\n    \n        df[\"high_div_low\"] = df[\"High\"] / df[\"Low\"]\n        df[\"open_sub_close\"] = df[\"Open\"] - df[\"Close\"]\n        \n        df['time_open'] = df['Open'] * (df['timestamp'] /1000)\n        df['time_close'] = df['Close']* (df['timestamp'] /1000)\n        df['time_high'] = df['High']* (df['timestamp'] /1000)\n        df['time_low'] = df['Low']* (df['timestamp'] /1000)\n        df['time_vwap'] = df['VWAP']* (df['timestamp'] /1000)\n        df['time_count'] = df['Count']* (df['timestamp'] /1000)\n        df['time_volume'] = df['Volume']* (df['timestamp'] /1000)\n        \n        df['time_open'] = df['Open'].diff().fillna(0)\n        df['time_close'] = df['Close'].diff().fillna(0)\n        df['time_high'] = df['High'].diff().fillna(0)\n        df['time_low'] = df['Low'].diff().fillna(0)\n        df['time_vwap'] = df['VWAP'].diff().fillna(0)\n        df['time_count'] = df['Count'].diff().fillna(0)\n        df['time_volume'] = df['Volume'].diff().fillna(0)\n        \n        #df['time_open_close'] = np.log1p(df['Open'] + df['Close']) * (df['timestamp'] /1000)\n        \n        ####\n        df['open*2'] = df['Open']**2 * (df['timestamp'] /1000)#\n        df['close*2'] = df['Close']**2 * (df['timestamp'] /1000)# \n        df['high*2'] = df['High']**2 * (df['timestamp'] /1000)#\n        df['low*2'] = df['Low']**2 * (df['timestamp'] /1000)#\n        df['vwap*2'] = df['VWAP']**2 * (df['timestamp'] /1000)#\n        df['count*2'] = df['Count']**2 * (df['timestamp'] /1000)#\n        df['volume*2'] = df['Volume']**2 * (df['timestamp'] /1000)#\n        \n        \n\n    \n        df['open_close'] = df['Open']*df['Close']* (df['timestamp'] /1000)\n        df['open_high'] = df['Open']* df['High']* (df['timestamp'] /1000)\n        df['open_low'] = df['Open']* df['Low']* (df['timestamp'] /1000)\n        df['open_vwap'] = df['Open']* df['VWAP']* (df['timestamp'] /1000)\n        df['open_count'] = df['Open']* df['Count'] * (df['timestamp'] /1000)#\n        df['open_volume'] = df['Open']* df['Volume']* (df['timestamp'] /1000) #\n        \n        df['close_high'] = df['Close']* df['High']* (df['timestamp'] /1000)\n        df['close_low'] = df['Close']* df['Low']* (df['timestamp'] /1000)\n        df['close_vwap'] = df['Close']* df['VWAP']* (df['timestamp'] /1000)\n        df['close_count'] = df['Close']* df['Count']* (df['timestamp'] /1000) #\n        df['high_open'] = df['High']* df['Open']* (df['timestamp'] /1000) #\n        df['high_close'] = df['High']* df['Close']* (df['timestamp'] /1000) #\n        df['high_low'] = df['High']* df['Low']* (df['timestamp'] /1000)\n        df['high_vwap'] = df['High']* df['VWAP']* (df['timestamp'] /1000)\n        df['high_count'] = df['High']* df['Count']* (df['timestamp'] /1000) #\n        df['high_volume'] = df['High']* df['Volume']* (df['timestamp'] /1000) #\n        \n        df['low_open'] = df['Low']* df['Open']* (df['timestamp'] /1000) #\n        df['low_close'] = df['Low']* df['Close']* (df['timestamp'] /1000) #\n        df['low_vwap'] = df['Low']* df['VWAP']* (df['timestamp'] /1000)\n        df['low_count'] = df['Low']* df['Count']* (df['timestamp'] /1000) #\n        df['low_volume'] = df['Low']* df['Volume']* (df['timestamp'] /1000) #\n        \n        df['count_open'] = df['Count']* df['Open']* (df['timestamp'] /1000)\n        df['count_close'] = df['Count']* df['Close']* (df['timestamp'] /1000) #\n        df['count_low'] = df['Count']* df['Low']* (df['timestamp'] /1000)\n        df['count_high'] = df['Count']* df['High']* (df['timestamp'] /1000) #\n        df['count_vwap'] = df['Count']* df['VWAP']* (df['timestamp'] /1000)\n        df['count_volume'] = df['Count']* df['Volume']* (df['timestamp'] /1000)\n        \n        df['volume_open'] = df['Volume']* df['Open']* (df['timestamp'] /1000)\n        df['volume_close'] = df['Volume']* df['Close']* (df['timestamp'] /1000) #\n        df['volume_low'] = df['Volume']* df['Low']* (df['timestamp'] /1000)\n        df['volume_high'] = df['Volume']* df['High']* (df['timestamp'] /1000) #\n        df['volume_vwap'] = df['Volume']* df['VWAP']* (df['timestamp'] /1000)\n        df['volume_count'] = df['Volume']* df['Count']* (df['timestamp'] /1000) #\n        ###\n        \n        df['open_sigmoid'] = sigmoid(df['Open'])* (df['timestamp'] /1000)\n        df['close_sigmoid'] = sigmoid(df['Close'])* (df['timestamp'] /1000)\n        df['high_sigmoid'] = sigmoid(df['High'])* (df['timestamp'] /1000)\n        df['low_sigmoid'] = sigmoid(df['Low'])* (df['timestamp'] /1000)\n        df['vwap_sigmoid'] = sigmoid(df['VWAP'])* (df['timestamp'] /1000)\n        df['count_sigmoid'] = sigmoid(df['Count'])* (df['timestamp'] /1000)\n        df['volum_sigmoid'] = sigmoid(df['Volume'])* (df['timestamp'] /1000)\n        \n        df['open_log'] = np.log1p(df['Open'])* (df['timestamp'] /1000)\n        df['close_log'] = np.log1p(df['Close'])* (df['timestamp'] /1000)\n        df['high_log'] = np.log1p(df['High'])* (df['timestamp'] /1000)\n        df['low_log'] = np.log1p(df['Low'])* (df['timestamp'] /1000)\n        df['vwap_log'] = np.log1p(df['VWAP'])* (df['timestamp'] /1000)\n        df['count_log'] = np.log1p(df['Count'])* (df['timestamp'] /1000)\n        df['volum_log'] = np.log1p(df['Volume'])* (df['timestamp'] /1000)\n        \n        #df['open_log_'] = np.sqrt(df['Open'])* (df['timestamp'] /1000)\n        #df['close_log_'] = np.sqrt(df['Close'])* (df['timestamp'] /1000)\n        #df['high_log_'] = np.sqrt(df['High'])* (df['timestamp'] /1000)\n        #df['low_log_'] = np.sqrt(df['Low'])* (df['timestamp'] /1000)\n        #df['vwap_log_'] = np.sqrt(df['VWAP'])* (df['timestamp'] /1000)\n        #df['count_log_'] = np.sqrt(df['Count'])* (df['timestamp'] /1000)\n        #df['volum_log_'] = np.sqrt(df['Volume'])* (df['timestamp'] /1000)\n        \n        #df[f'Openlog_10']  = df[f'Open'] / ((np.log(np.abs(df[f'Open'])) **10)+(np.log(np.abs(df[f'Close']))**10))#need\n        #df[f'Closelog_10'] = df[f'Close'] /((np.log(np.abs(df[f'Open'])) **10)+(np.log(np.abs(df[f'Close']))**10))\n        #df[f'Highlog_10'] = df[f'High'] / ((np.log(np.abs(df[f'High']))**10)+(np.log(np.abs(df[f'Low']))**10))\n        #df[f'Lowlog_10'] = df[f'Low'] / ((np.log(np.abs(df[f'High']))**10)+(np.log(np.abs(df[f'Low']))**10))\n        \n        #df[f'Openlog_2']  = df[f'Open'] / ((np.log(np.abs(df[f'Open'])) **2)+(np.log(np.abs(df[f'Close']))**2)) #need\n        #df[f'Closelog_2'] = df[f'Close'] /((np.log(np.abs(df[f'Open'])) **2)+(np.log(np.abs(df[f'Close']))**2))\n        #df[f'Highlog_2'] = df[f'High'] / ((np.log(np.abs(df[f'High']))**2)+(np.log(np.abs(df[f'Low']))**2))\n        #df[f'Lowlog_2'] = df[f'Low'] /((np.log(np.abs(df[f'High']))**2)+(np.log(np.abs(df[f'Low']))**2))\n        \n        \n        #df['return1'] = df[f'High'] - np.maximum(df[f'Close'], df[f'Open']) #no need\n        #df['return2'] = np.minimum(df[f'Close'], df[f'Open']) - df[f'Low']\n        \n        #df['open_log1'] = log_return(df['Open'],periods=1)\n        #df['open_log4'] = log_return(df['Open'],periods=4)\n        \n        #df['close_log1'] = log_return(df['Close'],periods=1)\n        #df['close_log4'] = log_return(df['Close'],periods=4)\n        \n        #df['high_log1'] = log_return(df['High'],periods=1)\n        #df['high_log4'] = log_return(df['High'],periods=4)\n        \n        #df['low_log1'] = log_return(df['Low'],periods=1)\n        #df['low_log4'] = log_return(df['Low'],periods=4)\n        \n        #df['vwap_log1'] = log_return(df['VWAP'],periods=1)\n        #df['vwap_log4'] = log_return(df['VWAP'],periods=4)     \n        #df['count_log1'] = log_return(df['Count'],periods=1)\n        #df['count_log4'] = log_return(df['Count'],periods=4)\n        \n        #df['volume_log1'] = log_return(df['Volume'],periods=1) #no need@\n        #df['volume_log4'] = log_return(df['Volume'],periods=4)\n        #df[f'Open-change'] = (df[f'Open'] + df[f'High']) / (df[f'Close'] +df[f'Low'])  #no need@\n        \n        #df[f'Close-Open-vmap'] = (df[f'Open'] + df[f'Close']) /df[f'VWAP']\n        #df['volume_Count'] = df['Count'] /(df['Count']+df['Volume'])   #no need@\n        #df['vwap_open'] = df['VWAP']* df['Open']\n        #df['vwap_close'] = df['VWAP']* df['Close']\n        #df['vwap_low'] = df['VWAP']* df['Low']\n        #df['vwap_high'] = df['VWAP']* df['High']\n        #df['vwap_count'] = df['VWAP']* df['Count']\n        #df['vwap_volume'] = df['VWAP']* df['Volume']\n        \n        \n        #df[f'Openlog']  = np.log1p(df[f'Open'])\n        #df[f'Closelog'] = np.log1p(df[f'Close'])\n        #df[f'Highlog'] = np.log1p(df[f'High'])\n        #df[f'Lowlog'] = np.log1p(df[f'Low'])\n        #df[f'VWAPlog'] = np.log1p(df[f'VWAP'])\n        #df[f'Countlog'] = np.log1p(df[f'Count'])\n        \n        #df[f'Openlog_4']  = df[f'Open'] / ((np.log(df[f'Open']) **4)+(np.log(df[f'Close'])**4)) #no need @\n        #df[f'Closelog_4'] = df[f'Close'] /((np.log(df[f'Open']) **4)+(np.log(df[f'Close'])**4))\n        #df[f'Highlog_4'] = df[f'High'] / ((np.log(df[f'High'])**4)+(np.log(df[f'Low'])**4))\n        #df[f'Lowlog_4'] = df[f'Low'] /((np.log(df[f'High'])**4)+(np.log(df[f'Low'])**4))\n        #df[f'VWAPlog_4'] = df[f'VWAP'] / ((np.log(df[f'VWAP'])**4)+(np.log(df[f'Count'])**4))\n        \n        #df = df.drop(['Openlog','Closelog','Highlog','Lowlog','VWAPlog','Countlog'],axis=1)# no need\n        #df['RSI'] = ta.RSI(df['Close'], timeperiod=14) #no need\n        #df['MACD'], df['macdsignal'], df['MACD_HIST'] = ta.MACD(df['Close'], fastperiod=12, slowperiod=26, signalperiod=9)\n        #df['adx'] = ta.ADX(df['High'], df['Low'],np.array(df.loc[:, 'Close']),timeperiod=14)\n        #df['DI_plus'] = ta.PLUS_DI(df['High'], df['Low'],np.array(df.loc[:, 'Close']), timeperiod=14)\n        #df['DI_minus'] = ta.MINUS_DI(df['High'], df['Low'],np.array(df.loc[:, 'Close']), timeperiod=14)\n        \n    return df \n","metadata":{"execution":{"iopub.status.busy":"2022-01-08T11:15:58.137146Z","iopub.execute_input":"2022-01-08T11:15:58.137463Z","iopub.status.idle":"2022-01-08T11:15:58.182162Z","shell.execute_reply.started":"2022-01-08T11:15:58.137425Z","shell.execute_reply":"2022-01-08T11:15:58.181306Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"def get_Xy_and_model_for_asset(df_train,asset_id):\n    df = df_train[df_train[\"Asset_ID\"] == asset_id]\n    df = df.dropna(subset=['Target'])\n    y = df['Target'] \n    #y= np.log1p(y)\n    \n    df      = df.drop(['Target','Asset_ID'],axis=1)\n    #df_proc = get_features(df)\n    df_proc = add_features(df)\n    df_proc = df_proc.fillna(-1)\n    X= df_proc #.drop(\"y\", axis=1)\n    \n    \n    '''\n    params = {'objective': 'regression',  'metric': 'rmse' } #'objective': 'mean_squared_error',\n    \n\n    x_train, x_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n    lgb_train = lgb.Dataset(x_train, y_train)\n    lgb_valid = lgb.Dataset(x_test, y_test)\n    optuna.logging.disable_default_handler()\n    model = lgbo.train(params, lgb_train, valid_sets=[lgb_valid], verbose_eval=False, num_boost_round=100, early_stopping_rounds=5)\n    #model.params\n    \n    #best_lgb_params ={'objective': 'regression',\n    #'metric': 'rmse',\n    #'feature_pre_filter': False,\n    #'lambda_l1': 0.010565309968664168,\n    #'lambda_l2': 0.3120057367604998,\n    #'num_leaves': 255,\n    #'feature_fraction': 1.0,\n    #'bagging_fraction': 1.0,\n    #'bagging_freq': 0,\n    #'min_child_samples': 5}\n\n    best_lgb_params =model.params\n    best_lgb_params[\"learning_rate\"] = 0.01\n\n    best_lgb_params[\"bagging_freq\"] = 0\n    #best_lgb_params[\"device\"] = 'gpu'\n    best_lgb_params[\"early_stopping_round\"] = 100\n    best_lgb_params[\"num_iterations\"] = 2000\n    lgb_train = lgb.Dataset(x_train, y_train)\n    lgb_valid = lgb.Dataset(x_test, y_test)\n     \n    model = lgb.train(best_lgb_params,lgb_train, valid_sets=[lgb_valid], verbose_eval=100)\n    '''\n    best_params = {\n    \"objective\": \"regression\",\n    \"n_estimators\" : 5000,     # <-- (9) change from 200 to 500\n    \"num_leaves\" : 300,       # <-- (10) Added parameter\n    \"learning_rate\" : 0.09,   # <-- (10) Added parameter\n    \"random_seed\" : 1234}\n    #model = LGBMRegressor(n_estimators=10)\n    model = LGBMRegressor(n_estimators=1500,num_leaves=700,learning_rate=0.1,silent=True)\n    #model = LGBMRegressor(**best_params)\n    model.fit(X, y)\n    \n    #print( 'step3',datetime.datetime.now().strftime('%Y年%m月%d日 %H:%M:%S'))\n    fi =model.feature_importances_\n    fi_df = pd.DataFrame({'feature': list(X.columns),\n         'feature importance': fi[:]}).sort_values('feature importance', ascending = False)\n    if asset_id ==0:\n        display(fi_df)\n    return model","metadata":{"papermill":{"duration":0.045134,"end_time":"2021-12-10T09:53:28.026022","exception":false,"start_time":"2021-12-10T09:53:27.980888","status":"completed"},"tags":[],"execution":{"iopub.status.busy":"2022-01-08T11:10:07.712010Z","iopub.execute_input":"2022-01-08T11:10:07.712258Z","iopub.status.idle":"2022-01-08T11:10:07.726626Z","shell.execute_reply.started":"2022-01-08T11:10:07.712221Z","shell.execute_reply":"2022-01-08T11:10:07.725986Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## Training & Validation","metadata":{"papermill":{"duration":0.035296,"end_time":"2021-12-10T09:53:28.094632","exception":false,"start_time":"2021-12-10T09:53:28.059336","status":"completed"},"tags":[]}},{"cell_type":"code","source":"Xs = {}\nys = {}\nmodels = {}\n\nfor asset_id, asset_name in zip(df_asset_details['Asset_ID'], df_asset_details['Asset_Name']):\n    print(f\"Training model for {asset_name:<16} (ID={asset_id:<2})   \",datetime.datetime.now().strftime('%Y/%m/%d %H:%M:%S'))\n            \n    models[asset_id]= get_Xy_and_model_for_asset(df_train, asset_id)    \n    \n    #validation\n   \n    record = df_valid[df_valid.Asset_ID == asset_id]   \n    target = record.Target \n    #target = np.log1p(target)\n    \n    x_test = record.drop(['Target','Asset_ID'],axis=1)\n    model = models[asset_id]\n    #x_test = get_features(record)\n    x_test = add_features(x_test) \n    #x_test = x_test.drop(['Asset_ID','Target'],axis=1)\n        \n    x_pred = model.predict(x_test)\n    print('Test score for LR baseline: ', f\"{np.corrcoef(x_pred, target)[0,1]:.5f}\")\n    #print('MSE=',MSE(x_pred.x, target))\n    #print(x_pred.x[:10])\n    #print(target[:10])\n    \n    \n    del record\n    del x_pred\n    del x_test\n    del target\n    \n   ","metadata":{"papermill":{"duration":6524.676376,"end_time":"2021-12-10T11:42:12.803335","exception":false,"start_time":"2021-12-10T09:53:28.126959","status":"completed"},"tags":[],"execution":{"iopub.status.busy":"2022-01-08T11:16:03.821705Z","iopub.execute_input":"2022-01-08T11:16:03.822034Z","iopub.status.idle":"2022-01-08T12:39:54.113196Z","shell.execute_reply.started":"2022-01-08T11:16:03.822000Z","shell.execute_reply":"2022-01-08T12:39:54.110970Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"<pre>\nTest score for LR baseline:  0.01367\nTraining model for Bitcoin          (ID=1 )    2022/01/01 03:12:43\nTest score for LR baseline:  0.02114\nTraining model for Bitcoin Cash     (ID=2 )    2022/01/01 03:18:24","metadata":{}},{"cell_type":"markdown","source":"# model save","metadata":{"papermill":{"duration":0.038336,"end_time":"2021-12-10T11:42:12.882027","exception":false,"start_time":"2021-12-10T11:42:12.843691","status":"completed"},"tags":[]}},{"cell_type":"code","source":"import pickle\nwith open('single_models','wb') as web:\n    pickle.dump(models,web)","metadata":{"papermill":{"duration":58.93432,"end_time":"2021-12-10T11:43:11.855284","exception":false,"start_time":"2021-12-10T11:42:12.920964","status":"completed"},"tags":[],"execution":{"iopub.status.busy":"2022-01-08T11:11:17.601970Z","iopub.status.idle":"2022-01-08T11:11:17.602487Z","shell.execute_reply.started":"2022-01-08T11:11:17.602308Z","shell.execute_reply":"2022-01-08T11:11:17.602326Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Validation","metadata":{"papermill":{"duration":0.037922,"end_time":"2021-12-10T11:43:11.930318","exception":false,"start_time":"2021-12-10T11:43:11.892396","status":"completed"},"tags":[]}},{"cell_type":"markdown","source":"### コイン毎ではなく、トータルのValidationスコアを計算します。\n\n### Calculate the total Validation score, not per coin.","metadata":{"papermill":{"duration":0.03854,"end_time":"2021-12-10T11:43:12.00952","exception":false,"start_time":"2021-12-10T11:43:11.97098","status":"completed"},"tags":[]}},{"cell_type":"code","source":"    x_pred = pd.DataFrame()\n    for x in range(len(df_valid.Asset_ID.unique())):\n        print( 'Asset_ID=',x,' ',datetime.datetime.now().strftime('%Y/%m/%d/ %H:%M:%S'))\n        record = df_valid[df_valid.Asset_ID == x]     \n        x_test = record.drop(['Target','Asset_ID'],axis=1)\n        model = models[x]\n        #x_test = get_features(record)\n        x_test = add_features(pd.DataFrame(x_test)) #.values\n        #x_test = x_test.drop(['Asset_ID','Target'],axis=1)\n\n        x_test['y_pred'] = model.predict(x_test)\n        x_pred = pd.concat([x_test,x_pred])    \n    x_pred = x_pred.sort_index()    \n    print(datetime.datetime.now().strftime('%Y/%m/%d %H:%M:%S'),'Test score for LR baseline: ', f\"{np.corrcoef(x_pred.y_pred,df_valid.Target)[0,1]:.5f}\")","metadata":{"papermill":{"duration":175.226464,"end_time":"2021-12-10T11:46:07.27283","exception":false,"start_time":"2021-12-10T11:43:12.046366","status":"completed"},"tags":[],"execution":{"iopub.status.busy":"2022-01-08T11:11:17.603253Z","iopub.status.idle":"2022-01-08T11:11:17.604055Z","shell.execute_reply.started":"2022-01-08T11:11:17.603859Z","shell.execute_reply":"2022-01-08T11:11:17.603887Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"2022/01/01 04:40:14 Test score for LR baseline:  0.00101","metadata":{}},{"cell_type":"markdown","source":"😺😅㊙🔰🗑⬛🟥🟨🟩","metadata":{"papermill":{"duration":0.040971,"end_time":"2021-12-10T11:46:10.011909","exception":false,"start_time":"2021-12-10T11:46:09.970938","status":"completed"},"tags":[]}}]}