{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.7.12","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"},"kaggle":{"accelerator":"gpu","dataSources":[{"sourceId":30894,"databundleVersionId":3147400,"sourceType":"competition"}],"dockerImageVersionId":30158,"isInternetEnabled":true,"language":"python","sourceType":"notebook","isGpuEnabled":true}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"markdown","source":"\n# Competition \"[G-Research Crypto Forecasting](https://www.kaggle.com/c/g-research-crypto-forecasting)\"\n\n## Research","metadata":{"papermill":{"duration":0.015064,"end_time":"2022-01-21T18:18:23.574093","exception":false,"start_time":"2022-01-21T18:18:23.559029","status":"completed"},"tags":[]}},{"cell_type":"markdown","source":"## Acknowledgements:\n* the main code - from notebooks [G-Research Crypto Forecasting - baseline & FE](https://www.kaggle.com/vbmokin/g-research-crypto-forecasting-baseline-fe) and [💲💲G-Research- Starter LGBM Pipeline](https://www.kaggle.com/julian3833/g-research-starter-lgbm-pipeline)\n* the model tuning - from the notebook [G-Research: XGBoost with GPU (Fit in 1min)](https://www.kaggle.com/yamqwe/g-research-xgboost-with-gpu-fit-in-1min)\n* FE - from notebooks [GResearch Simple LGB Starter](https://www.kaggle.com/code1110/gresearch-simple-lgb-starter) and [⚡⚡Bitcoin Crash Prediction⚡⚡](https://www.kaggle.com/kartik2khandelwal/bitcoin-crash-prediction)\n* remove inf, NaN - from [[Crypto] Beginner's Try for simple LGBM (En/Jp)](https://www.kaggle.com/junjitakeshima/crypto-beginner-s-try-for-simple-lgbm-en-jp)","metadata":{"papermill":{"duration":0.013482,"end_time":"2022-01-21T18:18:23.603433","exception":false,"start_time":"2022-01-21T18:18:23.589951","status":"completed"},"tags":[]}},{"cell_type":"markdown","source":"\n\n## Table of Contents\n\n1. [Import libraries](#1)\n1. [Download datasets](#2)\n1. [FE](#3)\n1. [Model training and prediction](#4)\n1. [Save results](#5)","metadata":{"papermill":{"duration":0.013314,"end_time":"2022-01-21T18:18:23.630291","exception":false,"start_time":"2022-01-21T18:18:23.616977","status":"completed"},"tags":[]}},{"cell_type":"markdown","source":"## 1. Import libraries \n\n[Back to Table of Contents](#0.1)","metadata":{"papermill":{"duration":0.013181,"end_time":"2022-01-21T18:18:23.656991","exception":false,"start_time":"2022-01-21T18:18:23.64381","status":"completed"},"tags":[]}},{"cell_type":"code","source":"import os\nimport numpy as np \nimport pandas as pd \nimport random\nimport gc\n\nfrom scipy import spatial\nfrom datetime import datetime\nfrom sklearn.preprocessing import StandardScaler\nfrom sklearn.metrics import r2_score, mean_absolute_error, mean_squared_error\n\n# model tuning\nfrom hyperopt import STATUS_OK, Trials, fmin, hp, tpe, space_eval\nfrom sklearn.model_selection import cross_val_score\n\nimport matplotlib.pyplot as plt\nimport seaborn as sns\nimport plotly.express as px\nimport plotly.graph_objects as go\n\n# Import library with the model\nfrom xgboost import XGBRegressor\nfrom lightgbm import LGBMRegressor\nfrom catboost import CatBoostRegressor\nfrom sklearn.ensemble import RandomForestRegressor\n\n#import gresearch_crypto\n\nimport warnings\nwarnings.filterwarnings(\"ignore\")","metadata":{"papermill":{"duration":2.138076,"end_time":"2022-01-21T18:18:25.808597","exception":false,"start_time":"2022-01-21T18:18:23.670521","status":"completed"},"tags":[],"trusted":true,"execution":{"iopub.status.busy":"2025-03-11T14:02:26.727867Z","iopub.execute_input":"2025-03-11T14:02:26.728105Z","iopub.status.idle":"2025-03-11T14:02:30.939285Z","shell.execute_reply.started":"2025-03-11T14:02:26.728044Z","shell.execute_reply":"2025-03-11T14:02:30.938519Z"}},"outputs":[{"output_type":"display_data","data":{"text/plain":"","text/html":"\n"},"metadata":{}}],"execution_count":1},{"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\nseed=4134\nfix_all_seeds(seed)","metadata":{"papermill":{"duration":0.022078,"end_time":"2022-01-21T18:18:25.847899","exception":false,"start_time":"2022-01-21T18:18:25.825821","status":"completed"},"tags":[],"trusted":true,"execution":{"iopub.status.busy":"2025-03-11T14:02:30.940982Z","iopub.execute_input":"2025-03-11T14:02:30.941179Z","iopub.status.idle":"2025-03-11T14:02:30.945154Z","shell.execute_reply.started":"2025-03-11T14:02:30.941157Z","shell.execute_reply":"2025-03-11T14:02:30.944469Z"}},"outputs":[],"execution_count":2},{"cell_type":"code","source":"#models = ['XGBRegressor', 'LGBMRegressor', 'RandomForestRegressor']\nmodels = ['LGBMRegressor']\n# models = ['CatBoostRegressor']\nAsset_ID = 2 # Bitcoin Cash\ncv_number = 3 # cross-validation\nnum_models = 10 # number of models under tuning","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-03-11T14:02:30.948574Z","iopub.execute_input":"2025-03-11T14:02:30.949105Z","iopub.status.idle":"2025-03-11T14:02:30.971016Z","shell.execute_reply.started":"2025-03-11T14:02:30.949071Z","shell.execute_reply":"2025-03-11T14:02:30.970278Z"}},"outputs":[],"execution_count":3},{"cell_type":"code","source":"","metadata":{"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"## 2. Download datasets \n\n[Back to Table of Contents](#0.1)","metadata":{"papermill":{"duration":0.014341,"end_time":"2022-01-21T18:18:25.876777","exception":false,"start_time":"2022-01-21T18:18:25.862436","status":"completed"},"tags":[]}},{"cell_type":"code","source":"%%time\ndf_train = pd.read_csv('/kaggle/input/g-research-crypto-forecasting/train.csv')\n# df_train = df_train[(df_train['Asset_ID']==Asset_ID)].reset_index(drop=True)\ndf_train.head()","metadata":{"papermill":{"duration":60.663951,"end_time":"2022-01-21T18:19:26.555922","exception":false,"start_time":"2022-01-21T18:18:25.891971","status":"completed"},"tags":[],"trusted":true,"execution":{"iopub.status.busy":"2025-03-11T14:02:30.972047Z","iopub.execute_input":"2025-03-11T14:02:30.972559Z","iopub.status.idle":"2025-03-11T14:03:31.449357Z","shell.execute_reply.started":"2025-03-11T14:02:30.972521Z","shell.execute_reply":"2025-03-11T14:03:31.448436Z"}},"outputs":[{"name":"stdout","text":"CPU times: user 26.7 s, sys: 3.36 s, total: 30.1 s\nWall time: 1min\n","output_type":"stream"},{"execution_count":4,"output_type":"execute_result","data":{"text/plain":" timestamp Asset_ID Count Open High Low \\\n0 1514764860 2 40.0 2376.5800 2399.5000 2357.1400 \n1 1514764860 0 5.0 8.5300 8.5300 8.5300 \n2 1514764860 1 229.0 13835.1940 14013.8000 13666.1100 \n3 1514764860 5 32.0 7.6596 7.6596 7.6567 \n4 1514764860 7 5.0 25.9200 25.9200 25.8740 \n\n Close Volume VWAP Target \n0 2374.5900 19.233005 2373.116392 -0.004218 \n1 8.5300 78.380000 8.530000 -0.014399 \n2 13850.1760 31.550062 13827.062093 -0.014643 \n3 7.6576 6626.713370 7.657713 -0.013922 \n4 25.8770 121.087310 25.891363 -0.008264 ","text/html":"
\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
timestampAsset_IDCountOpenHighLowCloseVolumeVWAPTarget
01514764860240.02376.58002399.50002357.14002374.590019.2330052373.116392-0.004218
1151476486005.08.53008.53008.53008.530078.3800008.530000-0.014399
215147648601229.013835.194014013.800013666.110013850.176031.55006213827.062093-0.014643
31514764860532.07.65967.65967.65677.65766626.7133707.657713-0.013922
4151476486075.025.920025.920025.874025.8770121.08731025.891363-0.008264
\n
"},"metadata":{}}],"execution_count":4},{"cell_type":"code","source":"df_train['ds'] = pd.to_datetime(df_train[\"timestamp\"], unit=\"s\", infer_datetime_format=True)\ndf_train[:3]","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-03-11T14:03:31.450474Z","iopub.execute_input":"2025-03-11T14:03:31.450752Z","iopub.status.idle":"2025-03-11T14:03:32.928004Z","shell.execute_reply.started":"2025-03-11T14:03:31.450714Z","shell.execute_reply":"2025-03-11T14:03:32.927229Z"}},"outputs":[{"execution_count":5,"output_type":"execute_result","data":{"text/plain":" timestamp Asset_ID Count Open High Low Close \\\n0 1514764860 2 40.0 2376.580 2399.50 2357.14 2374.590 \n1 1514764860 0 5.0 8.530 8.53 8.53 8.530 \n2 1514764860 1 229.0 13835.194 14013.80 13666.11 13850.176 \n\n Volume VWAP Target ds \n0 19.233005 2373.116392 -0.004218 2018-01-01 00:01:00 \n1 78.380000 8.530000 -0.014399 2018-01-01 00:01:00 \n2 31.550062 13827.062093 -0.014643 2018-01-01 00:01:00 ","text/html":"
\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
timestampAsset_IDCountOpenHighLowCloseVolumeVWAPTargetds
01514764860240.02376.5802399.502357.142374.59019.2330052373.116392-0.0042182018-01-01 00:01:00
1151476486005.08.5308.538.538.53078.3800008.530000-0.0143992018-01-01 00:01:00
215147648601229.013835.19414013.8013666.1113850.17631.55006213827.062093-0.0146432018-01-01 00:01:00
\n
"},"metadata":{}}],"execution_count":5},{"cell_type":"code","source":"df_train = df_train[df_train.ds.dt.year.isin([2020,2021])]\ndf_train.shape","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-03-11T14:03:32.930244Z","iopub.execute_input":"2025-03-11T14:03:32.93044Z","iopub.status.idle":"2025-03-11T14:03:35.539039Z","shell.execute_reply.started":"2025-03-11T14:03:32.930416Z","shell.execute_reply":"2025-03-11T14:03:35.538286Z"}},"outputs":[{"execution_count":6,"output_type":"execute_result","data":{"text/plain":"(12228898, 11)"},"metadata":{}}],"execution_count":6},{"cell_type":"code","source":"df_asset_details = pd.read_csv('/kaggle/input/g-research-crypto-forecasting/asset_details.csv')\ndf_asset_details","metadata":{"papermill":{"duration":0.034984,"end_time":"2022-01-21T18:19:26.606231","exception":false,"start_time":"2022-01-21T18:19:26.571247","status":"completed"},"tags":[],"trusted":true,"execution":{"iopub.status.busy":"2025-03-11T14:03:35.539882Z","iopub.execute_input":"2025-03-11T14:03:35.540065Z","iopub.status.idle":"2025-03-11T14:03:35.558184Z","shell.execute_reply.started":"2025-03-11T14:03:35.540044Z","shell.execute_reply":"2025-03-11T14:03:35.557512Z"}},"outputs":[{"execution_count":7,"output_type":"execute_result","data":{"text/plain":" Asset_ID Weight Asset_Name\n0 2 2.397895 Bitcoin Cash\n1 0 4.304065 Binance Coin\n2 1 6.779922 Bitcoin\n3 5 1.386294 EOS.IO\n4 7 2.079442 Ethereum Classic\n5 6 5.894403 Ethereum\n6 9 2.397895 Litecoin\n7 11 1.609438 Monero\n8 13 1.791759 TRON\n9 12 2.079442 Stellar\n10 3 4.406719 Cardano\n11 8 1.098612 IOTA\n12 10 1.098612 Maker\n13 4 3.555348 Dogecoin","text/html":"
\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
Asset_IDWeightAsset_Name
022.397895Bitcoin Cash
104.304065Binance Coin
216.779922Bitcoin
351.386294EOS.IO
472.079442Ethereum Classic
565.894403Ethereum
692.397895Litecoin
7111.609438Monero
8131.791759TRON
9122.079442Stellar
1034.406719Cardano
1181.098612IOTA
12101.098612Maker
1343.555348Dogecoin
\n
"},"metadata":{}}],"execution_count":7},{"cell_type":"code","source":"asset_name = df_asset_details[df_asset_details['Asset_ID']==Asset_ID]['Asset_Name'].tolist()[0]\nasset_name","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-03-11T14:03:35.559171Z","iopub.execute_input":"2025-03-11T14:03:35.559652Z","iopub.status.idle":"2025-03-11T14:03:35.565439Z","shell.execute_reply.started":"2025-03-11T14:03:35.559617Z","shell.execute_reply":"2025-03-11T14:03:35.564737Z"}},"outputs":[{"execution_count":8,"output_type":"execute_result","data":{"text/plain":"'Bitcoin Cash'"},"metadata":{}}],"execution_count":8},{"cell_type":"code","source":"asset_names = df_asset_details.Asset_Name\nasset_names","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-03-11T14:03:35.566515Z","iopub.execute_input":"2025-03-11T14:03:35.566702Z","iopub.status.idle":"2025-03-11T14:03:35.578533Z","shell.execute_reply.started":"2025-03-11T14:03:35.566679Z","shell.execute_reply":"2025-03-11T14:03:35.577873Z"}},"outputs":[{"execution_count":9,"output_type":"execute_result","data":{"text/plain":"0 Bitcoin Cash\n1 Binance Coin\n2 Bitcoin\n3 EOS.IO\n4 Ethereum Classic\n5 Ethereum\n6 Litecoin\n7 Monero\n8 TRON\n9 Stellar\n10 Cardano\n11 IOTA\n12 Maker\n13 Dogecoin\nName: Asset_Name, dtype: object"},"metadata":{}}],"execution_count":9},{"cell_type":"code","source":"# Clear memory\n# del df_asset_details\n# gc.collect()","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-03-11T14:03:35.579288Z","iopub.execute_input":"2025-03-11T14:03:35.579465Z","iopub.status.idle":"2025-03-11T14:03:35.588705Z","shell.execute_reply.started":"2025-03-11T14:03:35.579439Z","shell.execute_reply":"2025-03-11T14:03:35.588128Z"}},"outputs":[],"execution_count":10},{"cell_type":"code","source":"base_asset_to_other_assets = {\n 1: [9, 12, 6, 11, 8],\n 2: [9, 11, 8, 12, 5],\n 0: [6, 11, 8, 13, 10],\n 5: [2, 9, 11, 13],\n 7: [6, 3, 10, 4],\n 6: [0, 1, 7, 3],\n 9: [1, 2, 11, 12, 8],\n 11: [2, 0, 9, 11, 13],\n 13: [0, 8, 11, 2],\n 12: [1, 2, 9, 8],\n 3: [6, 10, 0],\n 8: [9, 11, 13, 12, 0],\n 10: [2, 0, 6, 11, 4],\n 4: [7, 10, 0, 6]\n}","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-03-11T14:03:35.589545Z","iopub.execute_input":"2025-03-11T14:03:35.590196Z","iopub.status.idle":"2025-03-11T14:03:35.601728Z","shell.execute_reply.started":"2025-03-11T14:03:35.59017Z","shell.execute_reply":"2025-03-11T14:03:35.601093Z"}},"outputs":[],"execution_count":11},{"cell_type":"markdown","source":"","metadata":{}},{"cell_type":"code","source":"asset_list = base_asset_to_other_assets[Asset_ID]\nasset_list.append(Asset_ID)\nasset_list","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-03-11T14:03:35.602689Z","iopub.execute_input":"2025-03-11T14:03:35.602879Z","iopub.status.idle":"2025-03-11T14:03:35.619169Z","shell.execute_reply.started":"2025-03-11T14:03:35.602857Z","shell.execute_reply":"2025-03-11T14:03:35.618504Z"}},"outputs":[{"execution_count":12,"output_type":"execute_result","data":{"text/plain":"[9, 11, 8, 12, 5, 2]"},"metadata":{}}],"execution_count":12},{"cell_type":"code","source":"# close_corr = df_train[df_train.Asset_ID == 1][['timestamp','Close']].rename(columns={'Close': 'Bitcoin'}).dropna(axis=0)\n# for ass_id, ass_name in assets_dict.items():\n# if ass_id != 1:\n# close_asset = df_train[df_train.Asset_ID == ass_id][['timestamp','Close']].rename(columns={'Close': ass_name}).dropna(axis=0)\n# close_corr = pd.merge(close_corr, close_asset, how='left', on='timestamp')\n\n# close_corr.dropna(inplace=True)\n# close_corr.dropna(inplace=True)\n# close_corr\n# corr_matrix = round(close_corr.drop(['timestamp'], axis=1).corr(), 2)\n# plt.figure(figsize=(10, 10))\n# sns.heatmap(corr_matrix)","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-03-11T14:03:35.620277Z","iopub.execute_input":"2025-03-11T14:03:35.620797Z","iopub.status.idle":"2025-03-11T14:03:35.630501Z","shell.execute_reply.started":"2025-03-11T14:03:35.620763Z","shell.execute_reply":"2025-03-11T14:03:35.629765Z"}},"outputs":[],"execution_count":13},{"cell_type":"code","source":"a =pd.DataFrame({'a': [1, 2], 'b': [1, 2]})\n","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-03-11T14:03:35.6315Z","iopub.execute_input":"2025-03-11T14:03:35.631729Z","iopub.status.idle":"2025-03-11T14:03:35.642077Z","shell.execute_reply.started":"2025-03-11T14:03:35.631703Z","shell.execute_reply":"2025-03-11T14:03:35.641395Z"}},"outputs":[],"execution_count":14},{"cell_type":"markdown","source":"## 3. FE \n\n[Back to Table of Contents](#0.1)","metadata":{"papermill":{"duration":0.015208,"end_time":"2022-01-21T18:19:26.636959","exception":false,"start_time":"2022-01-21T18:19:26.621751","status":"completed"},"tags":[]}},{"cell_type":"code","source":"thr_date = datetime.strptime(\"2020-01-01\", '%Y-%m-%d') # Remove date before\ndf_train = df_train[(df_train['Asset_ID'].isin(asset_list)) & (df_train['ds'] >= thr_date)].reset_index(drop=True)\ndf_train = df_train[df_train['ds'] >= thr_date].reset_index(drop=True)","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-03-11T14:03:35.642861Z","iopub.execute_input":"2025-03-11T14:03:35.643075Z","iopub.status.idle":"2025-03-11T14:03:36.75603Z","shell.execute_reply.started":"2025-03-11T14:03:35.643051Z","shell.execute_reply":"2025-03-11T14:03:36.755466Z"}},"outputs":[],"execution_count":15},{"cell_type":"code","source":"pd.set_option('max_columns',100)","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-03-11T14:03:36.757066Z","iopub.execute_input":"2025-03-11T14:03:36.75768Z","iopub.status.idle":"2025-03-11T14:03:36.761695Z","shell.execute_reply.started":"2025-03-11T14:03:36.757641Z","shell.execute_reply":"2025-03-11T14:03:36.761028Z"}},"outputs":[],"execution_count":16},{"cell_type":"code","source":"%%time\ndef get_features(data, asset_list, Asset_ID, is_row=False):\n # FE for data as row of DataFrame\n \n asset_ids = asset_list\n \n def sliced_hourly_fearture(df, start_hour=3, divide_hour=4):\n # Get hourly fearture\n \n list_hours = list(range(0, 24))\n list_hours = list_hours[start_hour:] + list_hours[:start_hour]\n divide_hour_start = 0\n dic = {}\n divide_tmp = divide_hour\n for i in range(1, 7):\n dic[tuple(list_hours[divide_hour_start: divide_hour])] = i\n divide_hour_start = divide_hour\n divide_hour += divide_tmp\n feature = df.ds.dt.hour.apply(lambda x: [v for k, v in dic.items() if x in k][0])\n return feature\n\n def get_other_asset_as_feature(asset_ids: list, data, Asset_ID, df_feat):\n \n asset_ids.remove(Asset_ID)\n\n for asset in asset_ids:\n df_asset = data[data.Asset_ID == asset][['ds', 'Open', 'High', 'Low', 'Close', 'VWAP']]\n\n df_asset['hammer_'+str(asset)] = df_asset[['High', 'Low']].mean(axis=1) - df_asset[['Open', 'Close']].mean(axis=1)\n df_asset['OpnCls_sub_VWAP_'+str(asset)] = df_asset[['Open', 'Close']].mean(axis=1) - df_asset['VWAP']\n df_asset['OpnVWAP_2_ClsVWAP_'+str(asset)] = ((df_asset['Open'] - df_asset['VWAP']) / (df_asset['Close'] - df_asset['VWAP'])).replace([np.inf, -np.inf, np.nan], 0.)\n\n print(f'df_asset {asset} {df_asset.shape}')\n asset_features = ['ds', 'hammer_'+str(asset), 'OpnCls_sub_VWAP_'+str(asset), 'OpnVWAP_2_ClsVWAP_'+str(asset)] \n df_feat = pd.merge(df_feat, df_asset[asset_features], how='left', on='ds')\n print(f'df_feat {asset} {df_asset.shape}')\n return df_feat \n \n \n \n # Time features \n df_feat = data[['ds', 'Count', 'Open', 'High', 'Low', 'Close', 'Volume', 'VWAP', 'Target']].copy()[data.Asset_ID == Asset_ID]\n df_feat = df_feat.replace([np.inf, -np.inf], np.nan)\n df_feat = df_feat.dropna() \n \n # Thanks to https://www.kaggle.com/kartik2khandelwal/bitcoin-crash-prediction\n# df_feat['ds'] = pd.to_datetime(df_feat[\"timestamp\"], unit=\"s\", infer_datetime_format=True)\n print(df_feat.shape)\n print('after dropna 1', df_feat['ds'].max())\n print(df_feat.shape)\n# # Thanks to https://www.kaggle.com/code1110/gresearch-simple-lgb-starter\n df_feat['high2low'] = df_feat['High'] / df_feat['Low']\n df_feat['volume2count'] = df_feat['Volume'] / (df_feat['Count'] + 1)\n \n if is_row:\n df_feat[\"hour\"] = df_feat['ds'].hour\n df_feat[\"dayofweek\"] = df_feat['ds'].dayofweek \n df_feat[\"month\"] = df_feat['ds'].month # my upgrade\n df_feat[\"year\"] = df_feat['ds'].year # my upgrade\n else:\n df_feat[\"hour\"] = df_feat['ds'].dt.hour\n df_feat[\"dayofweek\"] = df_feat['ds'].dt.dayofweek \n df_feat[\"month\"] = df_feat['ds'].dt.month # my upgrade\n df_feat[\"year\"] = df_feat['ds'].dt.year # my upgrade \n \n # Two new features from the competition tutorial\n df_feat['upper_shadow'] = df_feat['High'] - np.maximum(df_feat['Close'], df_feat['Open'])\n df_feat['lower_shadow'] = np.minimum(df_feat['Close'], df_feat['Open']) - df_feat['Low']\n \n \n # LM fearatures\n df_feat['h_l'] = df_feat['High'] - df_feat['Low']\n df_feat['return'] = (df_feat['Close'] - df_feat['Open']) / df_feat['Open']\n df_feat['close2open'] = (df_feat['Close'] - df_feat['Open']) / 2\n df_feat['hlco_ratio'] = (df_feat['High'] - df_feat['Low'])/(df_feat['Close'] - df_feat['Open'] + 1.001)\n# df_feat['ohlc'] = np.mean((df_feat['High'].values, df_feat['Open'].values, df_feat['Low'].values, df_feat['Close'].values))\n df_feat['Close_position']=(data['Close'] - data['Low'])/(data['High'] - data['Low'] + 1.001)\n df_feat['Open_position']=(data['Open'] - data['Low'])/(data['High'] - data['Low'] + 1.001)\n \n #binary features\n df_feat['close_mt_open'] = (df_feat['Close'] > df_feat['Open']).astype('int')\n \n# timestamp = df_train.timestamp.astype('datetime64[s]')\n df_feat['is_weekend'] = df_feat['dayofweek'].isin([5, 6]).astype('int')\n df_feat['yearday'] = df_feat['ds'].dt.dayofyear\n df_feat['monthday'] = df_feat['ds'].dt.day\n df_feat['minute'] = df_feat['ds'].dt.minute\n df_feat['is_PM'] = (df_feat['hour'] >= 12).astype('int')\n df_feat['quarter'] = df_feat['ds'].dt.quarter\n \n # quater of hour (as one hot) or one feture {1, 2, 3, 4}\n df_feat['1q'] = ((df_feat['minute'] < 15) & (df_feat['minute']>=0)).astype('int')\n df_feat['2q'] = ((df_feat['minute'] < 30) & (df_feat['minute']>=15)).astype('int')\n df_feat['3q'] = ((df_feat['minute'] < 45) & (df_feat['minute']>=30)).astype('int')\n df_feat['4q'] = ((df_feat['minute'] < 60) & (df_feat['minute']>=45)).astype('int')\n \n #sliced fature\n df_feat['h4_0'] = sliced_hourly_fearture(df_feat, start_hour=0, divide_hour=4)\n df_feat['h4_1'] = sliced_hourly_fearture(df_feat, start_hour=1, divide_hour=4)\n df_feat['h4_2'] = sliced_hourly_fearture(df_feat, start_hour=2, divide_hour=4)\n df_feat['h4_3'] = sliced_hourly_fearture(df_feat, start_hour=3, divide_hour=4)\n \n # Adding some more features - thanks to https://www.kaggle.com/kartik2khandelwal/bitcoin-crash-prediction\n df_feat[\"close/open\"] = df_feat[\"Close\"] / df_feat[\"Open\"] \n# df_feat[\"close-open\"] = df_feat[\"Close\"] - df_feat[\"Open\"] \n df_feat[\"high-low\"] = df_feat[\"High\"] - df_feat[\"Low\"] \n df_feat[\"high/low\"] = df_feat[\"High\"] / df_feat[\"Low\"]\n \n # Adding features from SO\n df_feat['hammer'] = df_feat[['High', 'Low']].mean(axis=1) - df_feat[['Open', 'Close']].mean(axis=1)\n df_feat['body'] = np.abs(df_feat['Close'] - df_feat['Open'])\n df_feat['dozhi'] = (df_feat['upper_shadow'] + df_feat['lower_shadow']) - df_feat['body']\n df_feat['dozhi_div'] = ((df_feat['upper_shadow'] + df_feat['lower_shadow']) / df_feat['body']).replace([np.inf, -np.inf, np.nan], 0.)\n df_feat['up_shdw_sub_lo_shdw'] = df_feat['upper_shadow'] - df_feat['lower_shadow']\n df_feat['up_shdw_div_lo_shdw'] = (df_feat['upper_shadow'] / df_feat['lower_shadow']).replace([np.inf, -np.inf, np.nan], 0.)\n df_feat['Cls_sub_VWAP'] = df_feat['Close'] - df_feat['VWAP']\n df_feat['OpnCls_sub_VWAP'] = df_feat[['Open', 'Close']].mean(axis=1) - df_feat['VWAP']\n df_feat['OpnVWAP_2_ClsVWAP'] = ((df_feat['Open'] - df_feat['VWAP']) / (df_feat['Close'] - df_feat['VWAP'])).replace([np.inf, -np.inf, np.nan], 0.)\n df_feat['HighVWAP_2_LowVWAP'] = ((df_feat['High'] - df_feat['VWAP']) / (df_feat['Low'] - df_feat['VWAP'])).replace([np.inf, -np.inf, np.nan], 0.)\n \n if is_row:\n df_feat['mean'] = df_feat[['Open', 'High', 'Low', 'Close']].mean()\n else:\n df_feat['mean'] = df_feat[['Open', 'High', 'Low', 'Close']].mean(axis=1)\n\n df_feat[\"high/mean\"] = df_feat[\"High\"] / df_feat[\"mean\"]\n df_feat[\"low/mean\"] = df_feat[\"Low\"] / df_feat[\"mean\"]\n \n if is_row:\n df_feat[\"median\"] = df_feat[[\"Open\", \"High\", \"Low\", \"Close\"]].median()\n else:\n df_feat[\"median\"] = df_feat[[\"Open\", \"High\", \"Low\", \"Close\"]].median(axis=1)\n df_feat[\"high/median\"] = df_feat[\"High\"] / df_feat[\"median\"]\n df_feat[\"low/median\"] = df_feat[\"Low\"] / df_feat[\"median\"]\n\n for col in ['Open', 'High', 'Low', 'Close', 'VWAP']:\n df_feat[f\"log_1p_{col}\"] = np.log1p(df_feat[col])\n \n # My upgrade\n if is_row:\n df_feat['mean_main'] = df_feat[['Open', 'Close']].mean()\n else:\n df_feat['mean_main'] = df_feat[['Open', 'Close']].mean(axis=1)\n\n df_feat[\"high/mean_main\"] = df_feat[\"High\"] / df_feat[\"mean_main\"]\n df_feat[\"low/mean_main\"] = df_feat[\"Low\"] / df_feat[\"mean_main\"]\n \n if is_row:\n df_feat[\"median_main\"] = df_feat[[\"Open\", \"Close\"]].median()\n else:\n df_feat[\"median_main\"] = df_feat[[\"Open\", \"Close\"]].median(axis=1)\n df_feat[\"high/median_main\"] = df_feat[\"High\"] / df_feat[\"median_main\"]\n df_feat[\"low/median_main\"] = df_feat[\"Low\"] / df_feat[\"median_main\"]\n\n # # ******** Additional features ******\n df_feat['Rel_Upper'] = ((df_feat['High'] - df_feat['VWAP']) / (df_feat['High'] - df_feat['Low'] + 0.0001))#.replace([np.inf, -np.inf, np.nan], 0.)\n df_feat['Upper_VWAP'] = ((df_feat['High'] - df_feat['VWAP']) / df_feat['VWAP'] )#.replace([np.inf, -np.inf, np.nan], 0.)\n df_feat['Upper_Vol'] = ((df_feat['High'] - df_feat['VWAP']) / df_feat['Volume'])#.replace([np.inf, -np.inf, np.nan], 0.)\n \n # ******** Additional features ******\n # https://www.kaggle.com/azzamradman/g-research-more-eda\n df_feat['is_month_start'] = df_feat['ds'].dt.is_month_start.astype(int).astype('uint8')\n df_feat['is_month_end'] = df_feat['ds'].dt.is_month_end.astype(int).astype('uint8')\n df_feat['is_quarter_start'] = df_feat['ds'].dt.is_quarter_start.astype(int).astype('uint8')\n df_feat['is_quarter_end'] = df_feat['ds'].dt.is_quarter_end.astype(int).astype('uint8')\n df_feat['is_year_start'] = df_feat['ds'].dt.is_year_start.astype(int).astype('uint8')\n df_feat['is_year_end'] = df_feat['ds'].dt.is_year_end.astype(int).astype('uint8')\n\n # ******** Additional features ******\n df_feat['Dollars'] = df_feat['Volume'] * df_feat['Close']\n #Volume_per_trade = Volume/Count\n df_feat['Dollars_per_trade'] = df_feat.Dollars / (df_feat.Count + 1)\n\n df_feat['log_ret'] = np.log1p(df_feat.Close/df_feat.Open)\n df_feat['log_ret_H'] = np.log1p(df_feat.High/df_feat.Close)\n df_feat['log_ret_L'] = np.log1p(df_feat.Close/df_feat.Low)\n df_feat['log_ret_VWAP'] = np.log1p(df_feat.Close/df_feat.VWAP)\n \n df_feat['GK_vol'] = (1 / 2 * np.log1p(df_feat.High/df_feat.Low) ** 2 - (2 * np.log(2) - 1) * np.log(df_feat.Close/df_feat.Open) ** 2)\n df_feat['RS_vol'] = np.log(df_feat.High/df_feat.Close)*np.log(df_feat.High/df_feat.Open) + np.log(df_feat.Low/df_feat.Close)*np.log(df_feat.Low/df_feat.Open)\n print(f\"shape before oher feat {df_feat.shape}\")\n # get features from another asset\n \n \n df_feat = get_other_asset_as_feature(asset_ids, data, Asset_ID, df_feat)\n \n print('after FE', df_feat['ds'].max())\n #df_feat = df_feat[~df_feat.isin([np.nan, np.inf, -np.inf]).any(1)].reset_index(drop=True)\n #df_feat = df_feat.dropna(how=\"any\")\n df_feat = df_feat.replace([np.inf, -np.inf], np.nan)\n df_feat = df_feat.dropna()\n print('after dropna 2', df_feat['ds'].max())\n \n return df_feat\n\ndf_train = get_features(df_train, asset_list, Asset_ID=Asset_ID)\ndisplay(df_train)\ndf_train.shape","metadata":{"papermill":{"duration":0.026093,"end_time":"2022-01-21T18:19:26.678473","exception":false,"start_time":"2022-01-21T18:19:26.65238","status":"completed"},"tags":[],"trusted":true,"execution":{"iopub.status.busy":"2025-03-11T14:03:36.762994Z","iopub.execute_input":"2025-03-11T14:03:36.763405Z","iopub.status.idle":"2025-03-11T14:03:49.767263Z","shell.execute_reply.started":"2025-03-11T14:03:36.763372Z","shell.execute_reply":"2025-03-11T14:03:49.766607Z"}},"outputs":[{"name":"stdout","text":"(905656, 9)\nafter dropna 1 2021-09-20 23:44:00\n(905656, 9)\nshape before oher feat (905656, 85)\ndf_asset 9 (905723, 9)\ndf_feat 9 (905723, 9)\ndf_asset 11 (878435, 9)\ndf_feat 11 (878435, 9)\ndf_asset 8 (808753, 9)\ndf_feat 8 (808753, 9)\ndf_asset 12 (905275, 9)\ndf_feat 12 (905275, 9)\ndf_asset 5 (905732, 9)\ndf_feat 5 (905732, 9)\nafter FE 2021-09-20 23:44:00\nafter dropna 2 2021-09-20 23:44:00\n","output_type":"stream"},{"output_type":"display_data","data":{"text/plain":" ds Count Open High Low Close \\\n0 2020-01-01 00:01:00 18.0 204.223333 204.52 203.49 204.130000 \n1 2020-01-01 00:02:00 78.0 204.190000 204.52 203.17 203.980000 \n2 2020-01-01 00:03:00 49.0 203.906000 204.35 203.13 203.918000 \n3 2020-01-01 00:04:00 153.0 203.896000 204.31 203.01 203.642000 \n4 2020-01-01 00:05:00 152.0 203.677500 203.93 202.81 203.647500 \n... ... ... ... ... ... ... \n905651 2021-09-20 23:40:00 285.0 538.158333 539.50 537.59 538.908333 \n905652 2021-09-20 23:41:00 147.0 539.146000 540.30 538.64 539.898000 \n905653 2021-09-20 23:42:00 168.0 540.203333 540.80 539.35 540.268333 \n905654 2021-09-20 23:43:00 122.0 540.395000 540.80 539.28 539.620000 \n905655 2021-09-20 23:44:00 127.0 539.528333 539.95 538.10 538.430000 \n\n Volume VWAP Target high2low volume2count hour \\\n0 22.129591 204.193203 0.000110 1.005062 1.164715 0 \n1 153.196656 204.104875 -0.000201 1.006645 1.939198 0 \n2 38.588696 203.905252 0.000388 1.006006 0.771774 0 \n3 202.386224 203.722969 -0.000270 1.006404 1.314196 0 \n4 169.914525 203.641488 0.001026 1.005522 1.110552 0 \n... ... ... ... ... ... ... \n905651 461.644642 538.323557 0.002919 1.003553 1.614142 23 \n905652 129.877517 539.445807 -0.001943 1.003082 0.877551 23 \n905653 177.581678 540.101929 -0.000911 1.002688 1.050779 23 \n905654 122.364643 540.073506 0.000687 1.002819 0.994834 23 \n905655 149.522919 539.158458 -0.000482 1.003438 1.168148 23 \n\n dayofweek month year upper_shadow lower_shadow h_l return \\\n0 2 1 2020 0.296667 0.640000 1.03 -0.000457 \n1 2 1 2020 0.330000 0.810000 1.35 -0.001028 \n2 2 1 2020 0.432000 0.776000 1.22 0.000059 \n3 2 1 2020 0.414000 0.632000 1.30 -0.001246 \n4 2 1 2020 0.252500 0.837500 1.12 -0.000147 \n... ... ... ... ... ... ... ... \n905651 0 9 2021 0.591667 0.568333 1.91 0.001394 \n905652 0 9 2021 0.402000 0.506000 1.66 0.001395 \n905653 0 9 2021 0.531667 0.853333 1.45 0.000120 \n905654 0 9 2021 0.405000 0.340000 1.52 -0.001434 \n905655 0 9 2021 0.421667 0.330000 1.85 -0.002036 \n\n close2open hlco_ratio Close_position Open_position close_mt_open \\\n0 -0.046667 1.134778 0.315116 0.361070 0 \n1 -0.105000 1.706700 0.344534 0.433858 0 \n2 0.006000 1.204344 0.354795 0.349392 1 \n3 -0.127000 1.740295 0.274663 0.385050 0 \n4 -0.015000 1.153450 0.394861 0.409005 0 \n... ... ... ... ... ... \n905651 0.375000 1.090805 0.452880 0.195236 1 \n905652 0.376000 0.946948 0.472755 0.190154 1 \n905653 0.032500 1.360225 0.374677 0.348157 1 \n905654 -0.387500 6.725664 0.134867 0.442285 0 \n905655 -0.549167 -19.006849 0.115749 0.500994 0 \n\n is_weekend yearday monthday minute is_PM quarter 1q 2q 3q 4q \\\n0 0 1 1 1 0 1 1 0 0 0 \n1 0 1 1 2 0 1 1 0 0 0 \n2 0 1 1 3 0 1 1 0 0 0 \n3 0 1 1 4 0 1 1 0 0 0 \n4 0 1 1 5 0 1 1 0 0 0 \n... ... ... ... ... ... ... .. .. .. .. \n905651 0 263 20 40 1 3 0 0 1 0 \n905652 0 263 20 41 1 3 0 0 1 0 \n905653 0 263 20 42 1 3 0 0 1 0 \n905654 0 263 20 43 1 3 0 0 1 0 \n905655 0 263 20 44 1 3 0 0 1 0 \n\n h4_0 h4_1 h4_2 h4_3 close/open high-low high/low hammer \\\n0 1 6 6 6 0.999543 1.03 1.005062 -0.171667 \n1 1 6 6 6 0.998972 1.35 1.006645 -0.240000 \n2 1 6 6 6 1.000059 1.22 1.006006 -0.172000 \n3 1 6 6 6 0.998754 1.30 1.006404 -0.109000 \n4 1 6 6 6 0.999853 1.12 1.005522 -0.292500 \n... ... ... ... ... ... ... ... ... \n905651 6 6 6 6 1.001394 1.91 1.003553 0.011667 \n905652 6 6 6 6 1.001395 1.66 1.003082 -0.052000 \n905653 6 6 6 6 1.000120 1.45 1.002688 -0.160833 \n905654 6 6 6 6 0.998566 1.52 1.002819 0.032500 \n905655 6 6 6 6 0.997964 1.85 1.003438 0.045833 \n\n body dozhi dozhi_div up_shdw_sub_lo_shdw \\\n0 0.093333 0.843333 10.035714 -0.343333 \n1 0.210000 0.930000 5.428571 -0.480000 \n2 0.012000 1.196000 100.666667 -0.344000 \n3 0.254000 0.792000 4.118110 -0.218000 \n4 0.030000 1.060000 36.333333 -0.585000 \n... ... ... ... ... \n905651 0.750000 0.410000 1.546667 0.023333 \n905652 0.752000 0.156000 1.207447 -0.104000 \n905653 0.065000 1.320000 21.307692 -0.321667 \n905654 0.775000 -0.030000 0.961290 0.065000 \n905655 1.098333 -0.346667 0.684370 0.091667 \n\n up_shdw_div_lo_shdw Cls_sub_VWAP OpnCls_sub_VWAP OpnVWAP_2_ClsVWAP \\\n0 0.463542 -0.063203 -0.016536 -0.476720 \n1 0.407407 -0.124875 -0.019875 -0.681679 \n2 0.556701 0.012748 0.006748 0.058702 \n3 0.655063 -0.080969 0.046031 -2.137018 \n4 0.301493 0.006012 0.021012 5.989914 \n... ... ... ... ... \n905651 1.041056 0.584776 0.209776 -0.282543 \n905652 0.794466 0.452193 0.076193 -0.663006 \n905653 0.623047 0.166404 0.133904 0.609385 \n905654 1.191176 -0.453506 -0.066006 -0.708906 \n905655 1.277778 -0.728458 -0.179292 -0.507751 \n\n HighVWAP_2_LowVWAP mean high/mean low/mean median \\\n0 -0.464726 204.090833 1.002103 0.997056 204.176667 \n1 -0.444043 203.965000 1.002721 0.996102 204.085000 \n2 -0.573683 203.826000 1.002571 0.996585 203.912000 \n3 -0.823362 203.714500 1.002923 0.996542 203.769000 \n4 -0.346983 203.516250 1.002033 0.996530 203.662500 \n... ... ... ... ... ... \n905651 -1.603750 538.539167 1.001784 0.998238 538.533333 \n905652 -1.060047 539.496000 1.001490 0.998413 539.522000 \n905653 -0.928374 540.155417 1.001193 0.998509 540.235833 \n905654 -0.915548 540.023750 1.001437 0.998623 540.007500 \n905655 -0.747825 539.002083 1.001759 0.998326 538.979167 \n\n high/median low/median log_1p_Open log_1p_High log_1p_Low \\\n0 1.001682 0.996637 5.324099 5.325543 5.320519 \n1 1.002131 0.995517 5.323936 5.325543 5.318953 \n2 1.002148 0.996165 5.322551 5.324716 5.318757 \n3 1.002655 0.996275 5.322503 5.324521 5.318169 \n4 1.001313 0.995814 5.321436 5.322668 5.317188 \n... ... ... ... ... ... \n905651 1.001795 0.998248 6.290009 6.292495 6.288955 \n905652 1.001442 0.998365 6.291839 6.293974 6.290902 \n905653 1.001044 0.998360 6.293795 6.294897 6.292217 \n905654 1.001468 0.998653 6.294149 6.294897 6.292088 \n905655 1.001801 0.998369 6.292547 6.293327 6.289901 \n\n log_1p_Close log_1p_VWAP mean_main high/mean_main low/mean_main \\\n0 5.323644 5.323952 204.176667 1.001682 0.996637 \n1 5.322912 5.323521 204.085000 1.002131 0.995517 \n2 5.322610 5.322548 203.912000 1.002148 0.996165 \n3 5.321262 5.321658 203.769000 1.002655 0.996275 \n4 5.321289 5.321260 203.662500 1.001313 0.995814 \n... ... ... ... ... ... \n905651 6.291399 6.290316 538.533333 1.001795 0.998248 \n905652 6.293231 6.292394 539.522000 1.001442 0.998365 \n905653 6.293915 6.293608 540.235833 1.001044 0.998360 \n905654 6.292717 6.293555 540.007500 1.001468 0.998653 \n905655 6.290513 6.291863 538.979167 1.001801 0.998369 \n\n median_main high/median_main low/median_main Rel_Upper Upper_VWAP \\\n0 204.176667 1.001682 0.996637 0.317248 0.001600 \n1 204.085000 1.002131 0.995517 0.307477 0.002034 \n2 203.912000 1.002148 0.996165 0.364518 0.002181 \n3 203.769000 1.002655 0.996275 0.451528 0.002882 \n4 203.662500 1.001313 0.995814 0.257577 0.001417 \n... ... ... ... ... ... \n905651 538.533333 1.001795 0.998248 0.615906 0.002185 \n905652 539.522000 1.001442 0.998365 0.514543 0.001583 \n905653 540.235833 1.001044 0.998360 0.481395 0.001292 \n905654 540.007500 1.001468 0.998653 0.477925 0.001345 \n905655 538.979167 1.001801 0.998369 0.427837 0.001468 \n\n Upper_Vol is_month_start is_month_end is_quarter_start \\\n0 0.014767 1 0 1 \n1 0.002710 1 0 1 \n2 0.011525 1 0 1 \n3 0.002901 1 0 1 \n4 0.001698 1 0 1 \n... ... ... ... ... \n905651 0.002548 0 0 0 \n905652 0.006577 0 0 0 \n905653 0.003931 0 0 0 \n905654 0.005937 0 0 0 \n905655 0.005294 0 0 0 \n\n is_quarter_end is_year_start is_year_end Dollars \\\n0 0 1 0 4517.313366 \n1 0 1 0 31249.053936 \n2 0 1 0 7868.929659 \n3 0 1 0 41214.335466 \n4 0 1 0 34602.668236 \n... ... ... ... ... \n905651 0 0 0 248784.144790 \n905652 0 0 0 70120.611479 \n905653 0 0 0 95941.757062 \n905654 0 0 0 66030.408677 \n905655 0 0 0 80507.625105 \n\n Dollars_per_trade log_ret log_ret_H log_ret_L log_ret_VWAP \\\n0 237.753335 0.692919 0.694102 0.694719 0.692992 \n1 395.557645 0.692633 0.694470 0.695139 0.692841 \n2 157.378593 0.693177 0.694206 0.695085 0.693178 \n3 267.625555 0.692524 0.694786 0.694703 0.692948 \n4 226.161230 0.693074 0.693841 0.695210 0.693162 \n... ... ... ... ... ... \n905651 869.874632 0.693844 0.693696 0.694373 0.693690 \n905652 473.787915 0.693844 0.693519 0.694314 0.693566 \n905653 567.702705 0.693207 0.693639 0.693998 0.693301 \n905654 536.832591 0.692430 0.694240 0.693462 0.692727 \n905655 628.965821 0.692129 0.694558 0.693454 0.692471 \n\n GK_vol RS_vol hammer_9 OpnCls_sub_VWAP_9 OpnVWAP_2_ClsVWAP_9 \\\n0 0.241982 0.000014 -0.004250 -0.008197 -0.188270 \n1 0.242531 0.000024 -0.040000 -0.002337 -0.649559 \n2 0.242309 0.000019 -0.035333 -0.003727 -4.539113 \n3 0.242447 0.000020 -0.016667 0.010287 -2.808066 \n4 0.242142 0.000019 -0.053100 0.000704 -1.485946 \n... ... ... ... ... ... \n905651 0.241458 0.000005 -0.043429 0.072007 -0.107916 \n905652 0.241294 0.000004 0.033917 -0.036475 -1.604017 \n905653 0.241159 0.000004 -0.067786 0.039654 1.707047 \n905654 0.241203 0.000003 -0.036500 0.014602 -1.462854 \n905655 0.241417 0.000004 0.021167 0.028581 -1.309674 \n\n hammer_11 OpnCls_sub_VWAP_11 OpnVWAP_2_ClsVWAP_11 hammer_8 \\\n0 0.017500 -0.013452 1.456534 -0.000050 \n1 -0.005000 0.014484 5.460528 -0.000100 \n2 0.005000 -0.003452 -2.054566 -0.000050 \n3 -0.002500 0.002859 -2.232118 0.000050 \n4 0.000000 0.011997 -0.250119 -0.000050 \n... ... ... ... ... \n905651 -0.026667 0.139116 -0.171392 0.000650 \n905652 -0.068000 -0.022546 -1.390565 0.000725 \n905653 0.026250 0.143162 3.279096 0.000325 \n905654 0.096667 -0.046973 -0.240158 0.000575 \n905655 -0.072500 0.083422 -2.462551 0.001075 \n\n OpnCls_sub_VWAP_8 OpnVWAP_2_ClsVWAP_8 hammer_12 OpnCls_sub_VWAP_12 \\\n0 0.000004 1.000000 0.000009 1.372574e-06 \n1 0.000085 3.857143 -0.000024 3.341934e-07 \n2 0.000005 1.000000 0.000010 7.633908e-06 \n3 -0.000054 0.034045 0.000004 -2.424416e-06 \n4 -0.000005 -1.222222 0.000018 -1.033416e-06 \n... ... ... ... ... \n905651 -0.000009 -1.015013 -0.000277 1.154222e-04 \n905652 -0.000076 -1.151939 -0.000061 -4.887002e-05 \n905653 0.000563 3.729334 -0.000132 8.005240e-05 \n905654 -0.000261 -0.238906 0.000017 5.076904e-05 \n905655 0.000549 -3.089172 0.000060 2.206928e-05 \n\n OpnVWAP_2_ClsVWAP_12 hammer_5 OpnCls_sub_VWAP_5 OpnVWAP_2_ClsVWAP_5 \n0 -0.614585 -0.004880 0.000156 1.474388 \n1 -0.878494 -0.000175 -0.000003 -0.989465 \n2 -0.273269 -0.000275 0.000184 -2.534027 \n3 -0.259654 -0.003938 -0.000525 0.036795 \n4 -5.429715 0.000167 -0.000014 -0.758444 \n... ... ... ... ... \n905651 -0.204000 0.000008 0.002791 -0.181036 \n905652 -1.345701 0.000667 -0.000944 -2.787603 \n905653 -7.136527 -0.002652 0.003497 0.413358 \n905654 -1.816863 -0.000092 -0.000112 -0.886275 \n905655 -1.175003 0.001307 0.000629 -1.297378 \n\n[790856 rows x 100 columns]","text/html":"
\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
dsCountOpenHighLowCloseVolumeVWAPTargethigh2lowvolume2counthourdayofweekmonthyearupper_shadowlower_shadowh_lreturnclose2openhlco_ratioClose_positionOpen_positionclose_mt_openis_weekendyeardaymonthdayminuteis_PMquarter1q2q3q4qh4_0h4_1h4_2h4_3close/openhigh-lowhigh/lowhammerbodydozhidozhi_divup_shdw_sub_lo_shdwup_shdw_div_lo_shdwCls_sub_VWAPOpnCls_sub_VWAPOpnVWAP_2_ClsVWAPHighVWAP_2_LowVWAPmeanhigh/meanlow/meanmedianhigh/medianlow/medianlog_1p_Openlog_1p_Highlog_1p_Lowlog_1p_Closelog_1p_VWAPmean_mainhigh/mean_mainlow/mean_mainmedian_mainhigh/median_mainlow/median_mainRel_UpperUpper_VWAPUpper_Volis_month_startis_month_endis_quarter_startis_quarter_endis_year_startis_year_endDollarsDollars_per_tradelog_retlog_ret_Hlog_ret_Llog_ret_VWAPGK_volRS_volhammer_9OpnCls_sub_VWAP_9OpnVWAP_2_ClsVWAP_9hammer_11OpnCls_sub_VWAP_11OpnVWAP_2_ClsVWAP_11hammer_8OpnCls_sub_VWAP_8OpnVWAP_2_ClsVWAP_8hammer_12OpnCls_sub_VWAP_12OpnVWAP_2_ClsVWAP_12hammer_5OpnCls_sub_VWAP_5OpnVWAP_2_ClsVWAP_5
02020-01-01 00:01:0018.0204.223333204.52203.49204.13000022.129591204.1932030.0001101.0050621.16471502120200.2966670.6400001.03-0.000457-0.0466671.1347780.3151160.3610700011101100016660.9995431.031.005062-0.1716670.0933330.84333310.035714-0.3433330.463542-0.063203-0.016536-0.476720-0.464726204.0908331.0021030.997056204.1766671.0016820.9966375.3240995.3255435.3205195.3236445.323952204.1766671.0016820.996637204.1766671.0016820.9966370.3172480.0016000.0147671010104517.313366237.7533350.6929190.6941020.6947190.6929920.2419820.000014-0.004250-0.008197-0.1882700.017500-0.0134521.456534-0.0000500.0000041.0000000.0000091.372574e-06-0.614585-0.0048800.0001561.474388
12020-01-01 00:02:0078.0204.190000204.52203.17203.980000153.196656204.104875-0.0002011.0066451.93919802120200.3300000.8100001.35-0.001028-0.1050001.7067000.3445340.4338580011201100016660.9989721.351.006645-0.2400000.2100000.9300005.428571-0.4800000.407407-0.124875-0.019875-0.681679-0.444043203.9650001.0027210.996102204.0850001.0021310.9955175.3239365.3255435.3189535.3229125.323521204.0850001.0021310.995517204.0850001.0021310.9955170.3074770.0020340.00271010101031249.053936395.5576450.6926330.6944700.6951390.6928410.2425310.000024-0.040000-0.002337-0.649559-0.0050000.0144845.460528-0.0001000.0000853.857143-0.0000243.341934e-07-0.878494-0.000175-0.000003-0.989465
22020-01-01 00:03:0049.0203.906000204.35203.13203.91800038.588696203.9052520.0003881.0060060.77177402120200.4320000.7760001.220.0000590.0060001.2043440.3547950.3493921011301100016661.0000591.221.006006-0.1720000.0120001.196000100.666667-0.3440000.5567010.0127480.0067480.058702-0.573683203.8260001.0025710.996585203.9120001.0021480.9961655.3225515.3247165.3187575.3226105.322548203.9120001.0021480.996165203.9120001.0021480.9961650.3645180.0021810.0115251010107868.929659157.3785930.6931770.6942060.6950850.6931780.2423090.000019-0.035333-0.003727-4.5391130.005000-0.003452-2.054566-0.0000500.0000051.0000000.0000107.633908e-06-0.273269-0.0002750.000184-2.534027
32020-01-01 00:04:00153.0203.896000204.31203.01203.642000202.386224203.722969-0.0002701.0064041.31419602120200.4140000.6320001.30-0.001246-0.1270001.7402950.2746630.3850500011401100016660.9987541.301.006404-0.1090000.2540000.7920004.118110-0.2180000.655063-0.0809690.046031-2.137018-0.823362203.7145001.0029230.996542203.7690001.0026550.9962755.3225035.3245215.3181695.3212625.321658203.7690001.0026550.996275203.7690001.0026550.9962750.4515280.0028820.00290110101041214.335466267.6255550.6925240.6947860.6947030.6929480.2424470.000020-0.0166670.010287-2.808066-0.0025000.002859-2.2321180.000050-0.0000540.0340450.000004-2.424416e-06-0.259654-0.003938-0.0005250.036795
42020-01-01 00:05:00152.0203.677500203.93202.81203.647500169.914525203.6414880.0010261.0055221.11055202120200.2525000.8375001.12-0.000147-0.0150001.1534500.3948610.4090050011501100016660.9998531.121.005522-0.2925000.0300001.06000036.333333-0.5850000.3014930.0060120.0210125.989914-0.346983203.5162501.0020330.996530203.6625001.0013130.9958145.3214365.3226685.3171885.3212895.321260203.6625001.0013130.995814203.6625001.0013130.9958140.2575770.0014170.00169810101034602.668236226.1612300.6930740.6938410.6952100.6931620.2421420.000019-0.0531000.000704-1.4859460.0000000.011997-0.250119-0.000050-0.000005-1.2222220.000018-1.033416e-06-5.4297150.000167-0.000014-0.758444
...............................................................................................................................................................................................................................................................................................................
9056512021-09-20 23:40:00285.0538.158333539.50537.59538.908333461.644642538.3235570.0029191.0035531.614142230920210.5916670.5683331.910.0013940.3750001.0908050.4528800.19523610263204013001066661.0013941.911.0035530.0116670.7500000.4100001.5466670.0233331.0410560.5847760.209776-0.282543-1.603750538.5391671.0017840.998238538.5333331.0017950.9982486.2900096.2924956.2889556.2913996.290316538.5333331.0017950.998248538.5333331.0017950.9982480.6159060.0021850.002548000000248784.144790869.8746320.6938440.6936960.6943730.6936900.2414580.000005-0.0434290.072007-0.107916-0.0266670.139116-0.1713920.000650-0.000009-1.015013-0.0002771.154222e-04-0.2040000.0000080.002791-0.181036
9056522021-09-20 23:41:00147.0539.146000540.30538.64539.898000129.877517539.445807-0.0019431.0030820.877551230920210.4020000.5060001.660.0013950.3760000.9469480.4727550.19015410263204113001066661.0013951.661.003082-0.0520000.7520000.1560001.207447-0.1040000.7944660.4521930.076193-0.663006-1.060047539.4960001.0014900.998413539.5220001.0014420.9983656.2918396.2939746.2909026.2932316.292394539.5220001.0014420.998365539.5220001.0014420.9983650.5145430.0015830.00657700000070120.611479473.7879150.6938440.6935190.6943140.6935660.2412940.0000040.033917-0.036475-1.604017-0.068000-0.022546-1.3905650.000725-0.000076-1.151939-0.000061-4.887002e-05-1.3457010.000667-0.000944-2.787603
9056532021-09-20 23:42:00168.0540.203333540.80539.35540.268333177.581678540.101929-0.0009111.0026881.050779230920210.5316670.8533331.450.0001200.0325001.3602250.3746770.34815710263204213001066661.0001201.451.002688-0.1608330.0650001.32000021.307692-0.3216670.6230470.1664040.1339040.609385-0.928374540.1554171.0011930.998509540.2358331.0010440.9983606.2937956.2948976.2922176.2939156.293608540.2358331.0010440.998360540.2358331.0010440.9983600.4813950.0012920.00393100000095941.757062567.7027050.6932070.6936390.6939980.6933010.2411590.000004-0.0677860.0396541.7070470.0262500.1431623.2790960.0003250.0005633.729334-0.0001328.005240e-05-7.136527-0.0026520.0034970.413358
9056542021-09-20 23:43:00122.0540.395000540.80539.28539.620000122.364643540.0735060.0006871.0028190.994834230920210.4050000.3400001.52-0.001434-0.3875006.7256640.1348670.44228500263204313001066660.9985661.521.0028190.0325000.775000-0.0300000.9612900.0650001.191176-0.453506-0.066006-0.708906-0.915548540.0237501.0014370.998623540.0075001.0014680.9986536.2941496.2948976.2920886.2927176.293555540.0075001.0014680.998653540.0075001.0014680.9986530.4779250.0013450.00593700000066030.408677536.8325910.6924300.6942400.6934620.6927270.2412030.000003-0.0365000.014602-1.4628540.096667-0.046973-0.2401580.000575-0.000261-0.2389060.0000175.076904e-05-1.816863-0.000092-0.000112-0.886275
9056552021-09-20 23:44:00127.0539.528333539.95538.10538.430000149.522919539.158458-0.0004821.0034381.168148230920210.4216670.3300001.85-0.002036-0.549167-19.0068490.1157490.50099400263204413001066660.9979641.851.0034380.0458331.098333-0.3466670.6843700.0916671.277778-0.728458-0.179292-0.507751-0.747825539.0020831.0017590.998326538.9791671.0018010.9983696.2925476.2933276.2899016.2905136.291863538.9791671.0018010.998369538.9791671.0018010.9983690.4278370.0014680.00529400000080507.625105628.9658210.6921290.6945580.6934540.6924710.2414170.0000040.0211670.028581-1.309674-0.0725000.083422-2.4625510.0010750.000549-3.0891720.0000602.206928e-05-1.1750030.0013070.000629-1.297378
\n

790856 rows × 100 columns

\n
"},"metadata":{}},{"name":"stdout","text":"CPU times: user 10.5 s, sys: 2.44 s, total: 13 s\nWall time: 13 s\n","output_type":"stream"},{"execution_count":17,"output_type":"execute_result","data":{"text/plain":"(790856, 100)"},"metadata":{}}],"execution_count":17},{"cell_type":"code","source":"df_train.head()","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-03-11T14:03:49.768236Z","iopub.execute_input":"2025-03-11T14:03:49.768426Z","iopub.status.idle":"2025-03-11T14:03:49.820987Z","shell.execute_reply.started":"2025-03-11T14:03:49.768403Z","shell.execute_reply":"2025-03-11T14:03:49.820302Z"}},"outputs":[{"execution_count":18,"output_type":"execute_result","data":{"text/plain":" ds Count Open High Low Close \\\n0 2020-01-01 00:01:00 18.0 204.223333 204.52 203.49 204.1300 \n1 2020-01-01 00:02:00 78.0 204.190000 204.52 203.17 203.9800 \n2 2020-01-01 00:03:00 49.0 203.906000 204.35 203.13 203.9180 \n3 2020-01-01 00:04:00 153.0 203.896000 204.31 203.01 203.6420 \n4 2020-01-01 00:05:00 152.0 203.677500 203.93 202.81 203.6475 \n\n Volume VWAP Target high2low volume2count hour dayofweek \\\n0 22.129591 204.193203 0.000110 1.005062 1.164715 0 2 \n1 153.196656 204.104875 -0.000201 1.006645 1.939198 0 2 \n2 38.588696 203.905252 0.000388 1.006006 0.771774 0 2 \n3 202.386224 203.722969 -0.000270 1.006404 1.314196 0 2 \n4 169.914525 203.641488 0.001026 1.005522 1.110552 0 2 \n\n month year upper_shadow lower_shadow h_l return close2open \\\n0 1 2020 0.296667 0.6400 1.03 -0.000457 -0.046667 \n1 1 2020 0.330000 0.8100 1.35 -0.001028 -0.105000 \n2 1 2020 0.432000 0.7760 1.22 0.000059 0.006000 \n3 1 2020 0.414000 0.6320 1.30 -0.001246 -0.127000 \n4 1 2020 0.252500 0.8375 1.12 -0.000147 -0.015000 \n\n hlco_ratio Close_position Open_position close_mt_open is_weekend \\\n0 1.134778 0.315116 0.361070 0 0 \n1 1.706700 0.344534 0.433858 0 0 \n2 1.204344 0.354795 0.349392 1 0 \n3 1.740295 0.274663 0.385050 0 0 \n4 1.153450 0.394861 0.409005 0 0 \n\n yearday monthday minute is_PM quarter 1q 2q 3q 4q h4_0 h4_1 \\\n0 1 1 1 0 1 1 0 0 0 1 6 \n1 1 1 2 0 1 1 0 0 0 1 6 \n2 1 1 3 0 1 1 0 0 0 1 6 \n3 1 1 4 0 1 1 0 0 0 1 6 \n4 1 1 5 0 1 1 0 0 0 1 6 \n\n h4_2 h4_3 close/open high-low high/low hammer body dozhi \\\n0 6 6 0.999543 1.03 1.005062 -0.171667 0.093333 0.843333 \n1 6 6 0.998972 1.35 1.006645 -0.240000 0.210000 0.930000 \n2 6 6 1.000059 1.22 1.006006 -0.172000 0.012000 1.196000 \n3 6 6 0.998754 1.30 1.006404 -0.109000 0.254000 0.792000 \n4 6 6 0.999853 1.12 1.005522 -0.292500 0.030000 1.060000 \n\n dozhi_div up_shdw_sub_lo_shdw up_shdw_div_lo_shdw Cls_sub_VWAP \\\n0 10.035714 -0.343333 0.463542 -0.063203 \n1 5.428571 -0.480000 0.407407 -0.124875 \n2 100.666667 -0.344000 0.556701 0.012748 \n3 4.118110 -0.218000 0.655063 -0.080969 \n4 36.333333 -0.585000 0.301493 0.006012 \n\n OpnCls_sub_VWAP OpnVWAP_2_ClsVWAP HighVWAP_2_LowVWAP mean \\\n0 -0.016536 -0.476720 -0.464726 204.090833 \n1 -0.019875 -0.681679 -0.444043 203.965000 \n2 0.006748 0.058702 -0.573683 203.826000 \n3 0.046031 -2.137018 -0.823362 203.714500 \n4 0.021012 5.989914 -0.346983 203.516250 \n\n high/mean low/mean median high/median low/median log_1p_Open \\\n0 1.002103 0.997056 204.176667 1.001682 0.996637 5.324099 \n1 1.002721 0.996102 204.085000 1.002131 0.995517 5.323936 \n2 1.002571 0.996585 203.912000 1.002148 0.996165 5.322551 \n3 1.002923 0.996542 203.769000 1.002655 0.996275 5.322503 \n4 1.002033 0.996530 203.662500 1.001313 0.995814 5.321436 \n\n log_1p_High log_1p_Low log_1p_Close log_1p_VWAP mean_main \\\n0 5.325543 5.320519 5.323644 5.323952 204.176667 \n1 5.325543 5.318953 5.322912 5.323521 204.085000 \n2 5.324716 5.318757 5.322610 5.322548 203.912000 \n3 5.324521 5.318169 5.321262 5.321658 203.769000 \n4 5.322668 5.317188 5.321289 5.321260 203.662500 \n\n high/mean_main low/mean_main median_main high/median_main \\\n0 1.001682 0.996637 204.176667 1.001682 \n1 1.002131 0.995517 204.085000 1.002131 \n2 1.002148 0.996165 203.912000 1.002148 \n3 1.002655 0.996275 203.769000 1.002655 \n4 1.001313 0.995814 203.662500 1.001313 \n\n low/median_main Rel_Upper Upper_VWAP Upper_Vol is_month_start \\\n0 0.996637 0.317248 0.001600 0.014767 1 \n1 0.995517 0.307477 0.002034 0.002710 1 \n2 0.996165 0.364518 0.002181 0.011525 1 \n3 0.996275 0.451528 0.002882 0.002901 1 \n4 0.995814 0.257577 0.001417 0.001698 1 \n\n is_month_end is_quarter_start is_quarter_end is_year_start is_year_end \\\n0 0 1 0 1 0 \n1 0 1 0 1 0 \n2 0 1 0 1 0 \n3 0 1 0 1 0 \n4 0 1 0 1 0 \n\n Dollars Dollars_per_trade log_ret log_ret_H log_ret_L \\\n0 4517.313366 237.753335 0.692919 0.694102 0.694719 \n1 31249.053936 395.557645 0.692633 0.694470 0.695139 \n2 7868.929659 157.378593 0.693177 0.694206 0.695085 \n3 41214.335466 267.625555 0.692524 0.694786 0.694703 \n4 34602.668236 226.161230 0.693074 0.693841 0.695210 \n\n log_ret_VWAP GK_vol RS_vol hammer_9 OpnCls_sub_VWAP_9 \\\n0 0.692992 0.241982 0.000014 -0.004250 -0.008197 \n1 0.692841 0.242531 0.000024 -0.040000 -0.002337 \n2 0.693178 0.242309 0.000019 -0.035333 -0.003727 \n3 0.692948 0.242447 0.000020 -0.016667 0.010287 \n4 0.693162 0.242142 0.000019 -0.053100 0.000704 \n\n OpnVWAP_2_ClsVWAP_9 hammer_11 OpnCls_sub_VWAP_11 OpnVWAP_2_ClsVWAP_11 \\\n0 -0.188270 0.0175 -0.013452 1.456534 \n1 -0.649559 -0.0050 0.014484 5.460528 \n2 -4.539113 0.0050 -0.003452 -2.054566 \n3 -2.808066 -0.0025 0.002859 -2.232118 \n4 -1.485946 0.0000 0.011997 -0.250119 \n\n hammer_8 OpnCls_sub_VWAP_8 OpnVWAP_2_ClsVWAP_8 hammer_12 \\\n0 -0.00005 0.000004 1.000000 0.000009 \n1 -0.00010 0.000085 3.857143 -0.000024 \n2 -0.00005 0.000005 1.000000 0.000010 \n3 0.00005 -0.000054 0.034045 0.000004 \n4 -0.00005 -0.000005 -1.222222 0.000018 \n\n OpnCls_sub_VWAP_12 OpnVWAP_2_ClsVWAP_12 hammer_5 OpnCls_sub_VWAP_5 \\\n0 1.372574e-06 -0.614585 -0.004880 0.000156 \n1 3.341934e-07 -0.878494 -0.000175 -0.000003 \n2 7.633908e-06 -0.273269 -0.000275 0.000184 \n3 -2.424416e-06 -0.259654 -0.003938 -0.000525 \n4 -1.033416e-06 -5.429715 0.000167 -0.000014 \n\n OpnVWAP_2_ClsVWAP_5 \n0 1.474388 \n1 -0.989465 \n2 -2.534027 \n3 0.036795 \n4 -0.758444 ","text/html":"
\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
dsCountOpenHighLowCloseVolumeVWAPTargethigh2lowvolume2counthourdayofweekmonthyearupper_shadowlower_shadowh_lreturnclose2openhlco_ratioClose_positionOpen_positionclose_mt_openis_weekendyeardaymonthdayminuteis_PMquarter1q2q3q4qh4_0h4_1h4_2h4_3close/openhigh-lowhigh/lowhammerbodydozhidozhi_divup_shdw_sub_lo_shdwup_shdw_div_lo_shdwCls_sub_VWAPOpnCls_sub_VWAPOpnVWAP_2_ClsVWAPHighVWAP_2_LowVWAPmeanhigh/meanlow/meanmedianhigh/medianlow/medianlog_1p_Openlog_1p_Highlog_1p_Lowlog_1p_Closelog_1p_VWAPmean_mainhigh/mean_mainlow/mean_mainmedian_mainhigh/median_mainlow/median_mainRel_UpperUpper_VWAPUpper_Volis_month_startis_month_endis_quarter_startis_quarter_endis_year_startis_year_endDollarsDollars_per_tradelog_retlog_ret_Hlog_ret_Llog_ret_VWAPGK_volRS_volhammer_9OpnCls_sub_VWAP_9OpnVWAP_2_ClsVWAP_9hammer_11OpnCls_sub_VWAP_11OpnVWAP_2_ClsVWAP_11hammer_8OpnCls_sub_VWAP_8OpnVWAP_2_ClsVWAP_8hammer_12OpnCls_sub_VWAP_12OpnVWAP_2_ClsVWAP_12hammer_5OpnCls_sub_VWAP_5OpnVWAP_2_ClsVWAP_5
02020-01-01 00:01:0018.0204.223333204.52203.49204.130022.129591204.1932030.0001101.0050621.16471502120200.2966670.64001.03-0.000457-0.0466671.1347780.3151160.3610700011101100016660.9995431.031.005062-0.1716670.0933330.84333310.035714-0.3433330.463542-0.063203-0.016536-0.476720-0.464726204.0908331.0021030.997056204.1766671.0016820.9966375.3240995.3255435.3205195.3236445.323952204.1766671.0016820.996637204.1766671.0016820.9966370.3172480.0016000.0147671010104517.313366237.7533350.6929190.6941020.6947190.6929920.2419820.000014-0.004250-0.008197-0.1882700.0175-0.0134521.456534-0.000050.0000041.0000000.0000091.372574e-06-0.614585-0.0048800.0001561.474388
12020-01-01 00:02:0078.0204.190000204.52203.17203.9800153.196656204.104875-0.0002011.0066451.93919802120200.3300000.81001.35-0.001028-0.1050001.7067000.3445340.4338580011201100016660.9989721.351.006645-0.2400000.2100000.9300005.428571-0.4800000.407407-0.124875-0.019875-0.681679-0.444043203.9650001.0027210.996102204.0850001.0021310.9955175.3239365.3255435.3189535.3229125.323521204.0850001.0021310.995517204.0850001.0021310.9955170.3074770.0020340.00271010101031249.053936395.5576450.6926330.6944700.6951390.6928410.2425310.000024-0.040000-0.002337-0.649559-0.00500.0144845.460528-0.000100.0000853.857143-0.0000243.341934e-07-0.878494-0.000175-0.000003-0.989465
22020-01-01 00:03:0049.0203.906000204.35203.13203.918038.588696203.9052520.0003881.0060060.77177402120200.4320000.77601.220.0000590.0060001.2043440.3547950.3493921011301100016661.0000591.221.006006-0.1720000.0120001.196000100.666667-0.3440000.5567010.0127480.0067480.058702-0.573683203.8260001.0025710.996585203.9120001.0021480.9961655.3225515.3247165.3187575.3226105.322548203.9120001.0021480.996165203.9120001.0021480.9961650.3645180.0021810.0115251010107868.929659157.3785930.6931770.6942060.6950850.6931780.2423090.000019-0.035333-0.003727-4.5391130.0050-0.003452-2.054566-0.000050.0000051.0000000.0000107.633908e-06-0.273269-0.0002750.000184-2.534027
32020-01-01 00:04:00153.0203.896000204.31203.01203.6420202.386224203.722969-0.0002701.0064041.31419602120200.4140000.63201.30-0.001246-0.1270001.7402950.2746630.3850500011401100016660.9987541.301.006404-0.1090000.2540000.7920004.118110-0.2180000.655063-0.0809690.046031-2.137018-0.823362203.7145001.0029230.996542203.7690001.0026550.9962755.3225035.3245215.3181695.3212625.321658203.7690001.0026550.996275203.7690001.0026550.9962750.4515280.0028820.00290110101041214.335466267.6255550.6925240.6947860.6947030.6929480.2424470.000020-0.0166670.010287-2.808066-0.00250.002859-2.2321180.00005-0.0000540.0340450.000004-2.424416e-06-0.259654-0.003938-0.0005250.036795
42020-01-01 00:05:00152.0203.677500203.93202.81203.6475169.914525203.6414880.0010261.0055221.11055202120200.2525000.83751.12-0.000147-0.0150001.1534500.3948610.4090050011501100016660.9998531.121.005522-0.2925000.0300001.06000036.333333-0.5850000.3014930.0060120.0210125.989914-0.346983203.5162501.0020330.996530203.6625001.0013130.9958145.3214365.3226685.3171885.3212895.321260203.6625001.0013130.995814203.6625001.0013130.9958140.2575770.0014170.00169810101034602.668236226.1612300.6930740.6938410.6952100.6931620.2421420.000019-0.0531000.000704-1.4859460.00000.011997-0.250119-0.00005-0.000005-1.2222220.000018-1.033416e-06-5.4297150.000167-0.000014-0.758444
\n
"},"metadata":{}}],"execution_count":18},{"cell_type":"code","source":"df_train.describe()","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-03-11T14:03:49.822096Z","iopub.execute_input":"2025-03-11T14:03:49.822597Z","iopub.status.idle":"2025-03-11T14:03:52.170139Z","shell.execute_reply.started":"2025-03-11T14:03:49.822559Z","shell.execute_reply":"2025-03-11T14:03:52.169446Z"}},"outputs":[{"execution_count":19,"output_type":"execute_result","data":{"text/plain":" Count Open High Low \\\ncount 790856.000000 790856.000000 790856.000000 790856.000000 \nmean 272.843967 443.197269 443.984940 442.451633 \nstd 444.958529 232.477466 233.054659 231.908010 \nmin 1.000000 138.324000 147.200000 6.950000 \n25% 79.000000 256.273333 256.750000 255.880000 \n50% 146.000000 389.174500 389.965000 388.395000 \n75% 293.000000 553.441667 554.430000 552.670000 \nmax 26726.000000 1638.426667 1644.560000 1622.460000 \n\n Close Volume VWAP Target \\\ncount 790856.000000 790856.000000 790856.000000 790856.000000 \nmean 443.198975 364.189306 443.195124 -0.000017 \nstd 232.479010 612.807795 232.479505 0.003719 \nmin 138.238333 0.000011 138.099617 -0.117383 \n25% 256.273125 79.555669 256.268638 -0.001466 \n50% 389.169000 181.279816 389.169269 -0.000107 \n75% 553.452500 402.678031 553.437263 0.001259 \nmax 1640.223333 24547.960943 1631.593038 0.117076 \n\n high2low volume2count hour dayofweek \\\ncount 790856.000000 790856.000000 790856.000000 790856.000000 \nmean 1.003434 1.328186 11.552816 2.981423 \nstd 0.069421 0.824433 6.876353 1.993343 \nmin 1.000000 0.000005 0.000000 0.000000 \n25% 1.001481 0.749461 6.000000 1.000000 \n50% 1.002327 1.145792 12.000000 3.000000 \n75% 1.003733 1.700151 17.000000 5.000000 \nmax 62.438849 41.510534 23.000000 6.000000 \n\n month year upper_shadow lower_shadow \\\ncount 790856.000000 790856.000000 7.908560e+05 790856.000000 \nmean 5.803575 2020.478306 5.767651e-01 0.536437 \nstd 3.232934 0.499529 1.616104e+00 1.088580 \nmin 1.000000 2020.000000 -2.842171e-14 0.000000 \n25% 3.000000 2020.000000 1.780000e-01 0.176000 \n50% 6.000000 2020.000000 3.300000e-01 0.324000 \n75% 8.000000 2021.000000 5.933333e-01 0.592500 \nmax 12.000000 2021.000000 4.706017e+02 421.394000 \n\n h_l return close2open hlco_ratio \\\ncount 790856.000000 790856.000000 790856.000000 790856.000000 \nmean 1.533308 0.000004 0.000853 1.128512 \nstd 2.874023 0.001548 0.477067 70.031600 \nmin 0.000000 -0.095890 -27.169167 -25500.000001 \n25% 0.520000 -0.000477 -0.090000 0.445269 \n50% 0.920000 0.000000 0.000000 0.801394 \n75% 1.630000 0.000475 0.090000 1.386057 \nmax 586.740000 0.088841 24.800833 10680.000000 \n\n Close_position Open_position close_mt_open is_weekend \\\ncount 790856.000000 790856.000000 790856.000000 790856.000000 \nmean 0.240656 0.240001 0.495883 0.279734 \nstd 0.135934 0.143188 0.499983 0.448869 \nmin 0.000000 0.000000 0.000000 0.000000 \n25% 0.141106 0.133743 0.000000 0.000000 \n50% 0.214857 0.210064 0.000000 0.000000 \n75% 0.313490 0.317762 1.000000 1.000000 \nmax 0.984563 0.995054 1.000000 1.000000 \n\n yearday monthday minute is_PM \\\ncount 790856.000000 790856.000000 790856.000000 790856.000000 \nmean 161.238606 15.534714 29.351677 0.505963 \nstd 98.894479 8.756397 17.347922 0.499965 \nmin 1.000000 1.000000 0.000000 0.000000 \n25% 75.000000 8.000000 14.000000 0.000000 \n50% 156.000000 15.000000 29.000000 1.000000 \n75% 236.000000 23.000000 44.000000 1.000000 \nmax 366.000000 31.000000 59.000000 1.000000 \n\n quarter 1q 2q 3q \\\ncount 790856.000000 790856.000000 790856.000000 790856.000000 \nmean 2.268054 0.253255 0.249220 0.249846 \nstd 1.042136 0.434876 0.432562 0.432924 \nmin 1.000000 0.000000 0.000000 0.000000 \n25% 1.000000 0.000000 0.000000 0.000000 \n50% 2.000000 0.000000 0.000000 0.000000 \n75% 3.000000 1.000000 0.000000 0.000000 \nmax 4.000000 1.000000 1.000000 1.000000 \n\n 4q h4_0 h4_1 h4_2 \\\ncount 790856.000000 790856.000000 790856.000000 790856.000000 \nmean 0.247680 3.514400 3.514988 3.510924 \nstd 0.431665 1.696364 1.693726 1.692719 \nmin 0.000000 1.000000 1.000000 1.000000 \n25% 0.000000 2.000000 2.000000 2.000000 \n50% 0.000000 4.000000 4.000000 4.000000 \n75% 0.000000 5.000000 5.000000 5.000000 \nmax 1.000000 6.000000 6.000000 6.000000 \n\n h4_3 close/open high-low high/low \\\ncount 790856.000000 790856.000000 790856.000000 790856.000000 \nmean 3.503561 1.000004 1.533308 1.003434 \nstd 1.693120 0.001548 2.874023 0.069421 \nmin 1.000000 0.904110 0.000000 1.000000 \n25% 2.000000 0.999523 0.520000 1.001481 \n50% 3.000000 1.000000 0.920000 1.002327 \n75% 5.000000 1.000475 1.630000 1.003733 \nmax 6.000000 1.088841 586.740000 62.438849 \n\n hammer body dozhi dozhi_div \\\ncount 790856.000000 790856.000000 790856.000000 7.908560e+05 \nmean 0.020164 0.420106 0.693096 5.909591e+09 \nstd 0.664632 0.856672 2.204783 3.139495e+11 \nmin -210.139000 0.000000 -38.930000 0.000000e+00 \n25% -0.054167 0.067500 0.155000 1.654757e+00 \n50% 0.002500 0.180000 0.396667 3.400000e+00 \n75% 0.062500 0.432000 0.795000 8.439024e+00 \nmax 202.032500 54.338333 487.536667 7.986852e+13 \n\n up_shdw_sub_lo_shdw up_shdw_div_lo_shdw Cls_sub_VWAP \\\ncount 790856.000000 7.908560e+05 790856.000000 \nmean 0.040328 1.237081e+00 0.003851 \nstd 1.329264 1.025480e+00 0.486598 \nmin -420.278000 -1.065814e-12 -27.921973 \n25% -0.108333 6.818182e-01 -0.088299 \n50% 0.005000 1.022412e+00 0.000419 \n75% 0.125000 1.513199e+00 0.091715 \nmax 404.065000 1.091622e+02 65.254569 \n\n OpnCls_sub_VWAP OpnVWAP_2_ClsVWAP HighVWAP_2_LowVWAP mean \\\ncount 790856.000000 7.908560e+05 790856.000000 790856.000000 \nmean 0.002998 -7.374445e+00 -1.109291 443.208204 \nstd 0.264039 3.881696e+03 0.796400 232.477437 \nmin -17.598712 -2.649557e+06 -515.199570 139.016000 \n25% -0.044279 -1.719987e+00 -1.322649 256.295000 \n50% 0.000876 -7.258465e-01 -1.020924 389.177188 \n75% 0.047994 2.712089e-01 -0.790453 553.540156 \nmax 67.499569 7.842502e+04 1.000000 1633.923333 \n\n high/mean low/mean median high/median \\\ncount 790856.000000 790856.000000 790856.000000 790856.000000 \nmean 1.001699 0.998365 443.198122 1.001733 \nstd 0.003572 0.002972 232.477749 0.004154 \nmin 1.000000 0.021350 138.430833 1.000000 \n25% 1.000734 0.998138 256.272000 1.000712 \n50% 1.001161 0.998846 389.173333 1.001152 \n75% 1.001866 0.999271 553.435250 1.001874 \nmax 1.558927 1.000000 1635.856667 1.819392 \n\n low/median log_1p_Open log_1p_High log_1p_Low \\\ncount 790856.000000 790856.000000 790856.000000 790856.000000 \nmean 0.998397 5.981689 5.983410 5.980084 \nstd 0.002764 0.465783 0.465777 0.465733 \nmin 0.016141 4.936802 4.998563 2.073172 \n25% 0.998138 5.550139 5.551990 5.548609 \n50% 0.998863 5.966594 5.968618 5.964594 \n75% 0.999296 6.317962 6.319743 6.316569 \nmax 1.000000 7.402102 7.405836 7.392315 \n\n log_1p_Close log_1p_VWAP mean_main high/mean_main \\\ncount 790856.000000 790856.000000 790856.000000 790856.000000 \nmean 5.981692 5.981682 443.198122 1.001733 \nstd 0.465785 0.465787 232.477749 0.004154 \nmin 4.936187 4.935190 138.430833 1.000000 \n25% 5.550138 5.550121 256.272000 1.000712 \n50% 5.966580 5.966581 389.173333 1.001152 \n75% 6.317981 6.317954 553.435250 1.001874 \nmax 7.403197 7.397925 1635.856667 1.819392 \n\n low/mean_main median_main high/median_main low/median_main \\\ncount 790856.000000 790856.000000 790856.000000 790856.000000 \nmean 0.998397 443.198122 1.001733 0.998397 \nstd 0.002764 232.477749 0.004154 0.002764 \nmin 0.016141 138.430833 1.000000 0.016141 \n25% 0.998138 256.272000 1.000712 0.998138 \n50% 0.998863 389.173333 1.001152 0.998863 \n75% 0.999296 553.435250 1.001874 0.999296 \nmax 1.000000 1635.856667 1.819392 1.000000 \n\n Rel_Upper Upper_VWAP Upper_Vol is_month_start \\\ncount 7.908560e+05 7.908560e+05 7.908560e+05 790856.000000 \nmean 5.053961e-01 1.742202e-03 4.653267e-03 0.032912 \nstd 9.513705e-02 4.137912e-03 1.041633e-02 0.178408 \nmin -2.842171e-10 -1.312236e-16 -9.622409e-14 0.000000 \n25% 4.414165e-01 7.215522e-04 1.319368e-03 0.000000 \n50% 5.051025e-01 1.160864e-03 2.631635e-03 0.000000 \n75% 5.693647e-01 1.880804e-03 5.217519e-03 0.000000 \nmax 9.947469e-01 7.841670e-01 1.860772e+00 1.000000 \n\n is_month_end is_quarter_start is_quarter_end is_year_start \\\ncount 790856.000000 790856.000000 790856.000000 790856.000000 \nmean 0.031883 0.010011 0.008813 0.002782 \nstd 0.175689 0.099551 0.093464 0.052669 \nmin 0.000000 0.000000 0.000000 0.000000 \n25% 0.000000 0.000000 0.000000 0.000000 \n50% 0.000000 0.000000 0.000000 0.000000 \n75% 0.000000 0.000000 0.000000 0.000000 \nmax 1.000000 1.000000 1.000000 1.000000 \n\n is_year_end Dollars Dollars_per_trade log_ret \\\ncount 790856.000000 7.908560e+05 790856.000000 790856.000000 \nmean 0.001821 1.718497e+05 514.638425 0.693149 \nstd 0.042632 3.526777e+05 285.906523 0.000774 \nmin 0.000000 2.385767e-03 0.001193 0.644015 \n25% 0.000000 2.899710e+04 319.983632 0.692908 \n50% 0.000000 7.007306e+04 462.303927 0.693147 \n75% 0.000000 1.713605e+05 650.142574 0.693385 \nmax 1.000000 1.841514e+07 8967.728122 0.736609 \n\n log_ret_H log_ret_L log_ret_VWAP GK_vol \\\ncount 790856.000000 790856.000000 790856.000000 790856.000000 \nmean 0.694011 0.693957 0.693152 0.241401 \nstd 0.002020 0.004118 0.000404 0.009717 \nmin 0.693147 0.693147 0.665479 0.240227 \n25% 0.693471 0.693471 0.693031 0.240740 \n50% 0.693697 0.693693 0.693148 0.241033 \n75% 0.694077 0.694071 0.693268 0.241520 \nmax 1.010765 4.137280 0.779197 8.611525 \n\n RS_vol hammer_9 OpnCls_sub_VWAP_9 OpnVWAP_2_ClsVWAP_9 \\\ncount 790856.000000 790856.000000 790856.000000 7.908560e+05 \nmean 0.000048 0.004498 0.001392 -1.119801e+01 \nstd 0.019170 0.120626 0.070918 1.231972e+04 \nmin 0.000000 -18.668500 -2.625759 -1.079540e+07 \n25% 0.000001 -0.013286 -0.010824 -1.722157e+00 \n50% 0.000003 0.002250 0.000323 -7.412153e-01 \n75% 0.000006 0.020000 0.012255 2.493218e-01 \nmax 17.027173 11.070500 3.655572 1.585152e+06 \n\n hammer_11 OpnCls_sub_VWAP_11 OpnVWAP_2_ClsVWAP_11 hammer_8 \\\ncount 790856.00000 790856.000000 7.908560e+05 790856.000000 \nmean -0.00205 0.001897 1.779498e+06 0.000043 \nstd 0.16864 0.074748 3.264458e+09 0.000914 \nmin -41.30400 -6.906011 -1.055531e+12 -0.085325 \n25% -0.02125 -0.014199 -1.623877e+00 -0.000050 \n50% 0.00000 0.000000 -5.275057e-01 0.000000 \n75% 0.01750 0.016143 3.025050e-01 0.000150 \nmax 18.65500 8.112578 1.407375e+12 0.116550 \n\n OpnCls_sub_VWAP_8 OpnVWAP_2_ClsVWAP_8 hammer_12 \\\ncount 790856.000000 7.908560e+05 790856.000000 \nmean 0.000027 7.023305e+06 0.000014 \nstd 0.000701 3.830831e+09 0.000352 \nmin -0.036300 -9.007199e+11 -0.039418 \n25% -0.000080 -1.346158e+00 -0.000024 \n50% 0.000000 -1.941209e-01 0.000003 \n75% 0.000112 3.845107e-01 0.000033 \nmax 0.058973 1.801440e+12 0.032249 \n\n OpnCls_sub_VWAP_12 OpnVWAP_2_ClsVWAP_12 hammer_5 \\\ncount 7.908560e+05 790856.000000 790856.000000 \nmean 3.820378e-06 -2.172283 0.000245 \nstd 1.500229e-04 682.805332 0.004200 \nmin -5.463259e-03 -540132.118993 -0.589175 \n25% -1.789517e-05 -1.677520 -0.000437 \n50% 6.064413e-07 -0.648872 0.000125 \n75% 2.241036e-05 0.371871 0.000810 \nmax 7.652237e-03 62982.725929 0.741692 \n\n OpnCls_sub_VWAP_5 OpnVWAP_2_ClsVWAP_5 \ncount 790856.000000 790856.000000 \nmean 0.000010 -2.541974 \nstd 0.002668 1066.402461 \nmin -0.161983 -567058.532160 \n25% -0.000437 -1.728308 \n50% -0.000003 -0.723745 \n75% 0.000432 0.284531 \nmax 0.162401 318085.965856 ","text/html":"
\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
CountOpenHighLowCloseVolumeVWAPTargethigh2lowvolume2counthourdayofweekmonthyearupper_shadowlower_shadowh_lreturnclose2openhlco_ratioClose_positionOpen_positionclose_mt_openis_weekendyeardaymonthdayminuteis_PMquarter1q2q3q4qh4_0h4_1h4_2h4_3close/openhigh-lowhigh/lowhammerbodydozhidozhi_divup_shdw_sub_lo_shdwup_shdw_div_lo_shdwCls_sub_VWAPOpnCls_sub_VWAPOpnVWAP_2_ClsVWAPHighVWAP_2_LowVWAPmeanhigh/meanlow/meanmedianhigh/medianlow/medianlog_1p_Openlog_1p_Highlog_1p_Lowlog_1p_Closelog_1p_VWAPmean_mainhigh/mean_mainlow/mean_mainmedian_mainhigh/median_mainlow/median_mainRel_UpperUpper_VWAPUpper_Volis_month_startis_month_endis_quarter_startis_quarter_endis_year_startis_year_endDollarsDollars_per_tradelog_retlog_ret_Hlog_ret_Llog_ret_VWAPGK_volRS_volhammer_9OpnCls_sub_VWAP_9OpnVWAP_2_ClsVWAP_9hammer_11OpnCls_sub_VWAP_11OpnVWAP_2_ClsVWAP_11hammer_8OpnCls_sub_VWAP_8OpnVWAP_2_ClsVWAP_8hammer_12OpnCls_sub_VWAP_12OpnVWAP_2_ClsVWAP_12hammer_5OpnCls_sub_VWAP_5OpnVWAP_2_ClsVWAP_5
count790856.000000790856.000000790856.000000790856.000000790856.000000790856.000000790856.000000790856.000000790856.000000790856.000000790856.000000790856.000000790856.000000790856.0000007.908560e+05790856.000000790856.000000790856.000000790856.000000790856.000000790856.000000790856.000000790856.000000790856.000000790856.000000790856.000000790856.000000790856.000000790856.000000790856.000000790856.000000790856.000000790856.000000790856.000000790856.000000790856.000000790856.000000790856.000000790856.000000790856.000000790856.000000790856.000000790856.0000007.908560e+05790856.0000007.908560e+05790856.000000790856.0000007.908560e+05790856.000000790856.000000790856.000000790856.000000790856.000000790856.000000790856.000000790856.000000790856.000000790856.000000790856.000000790856.000000790856.000000790856.000000790856.000000790856.000000790856.000000790856.0000007.908560e+057.908560e+057.908560e+05790856.000000790856.000000790856.000000790856.000000790856.000000790856.0000007.908560e+05790856.000000790856.000000790856.000000790856.000000790856.000000790856.000000790856.000000790856.000000790856.0000007.908560e+05790856.00000790856.0000007.908560e+05790856.000000790856.0000007.908560e+05790856.0000007.908560e+05790856.000000790856.000000790856.000000790856.000000
mean272.843967443.197269443.984940442.451633443.198975364.189306443.195124-0.0000171.0034341.32818611.5528162.9814235.8035752020.4783065.767651e-010.5364371.5333080.0000040.0008531.1285120.2406560.2400010.4958830.279734161.23860615.53471429.3516770.5059632.2680540.2532550.2492200.2498460.2476803.5144003.5149883.5109243.5035611.0000041.5333081.0034340.0201640.4201060.6930965.909591e+090.0403281.237081e+000.0038510.002998-7.374445e+00-1.109291443.2082041.0016990.998365443.1981221.0017330.9983975.9816895.9834105.9800845.9816925.981682443.1981221.0017330.998397443.1981221.0017330.9983975.053961e-011.742202e-034.653267e-030.0329120.0318830.0100110.0088130.0027820.0018211.718497e+05514.6384250.6931490.6940110.6939570.6931520.2414010.0000480.0044980.001392-1.119801e+01-0.002050.0018971.779498e+060.0000430.0000277.023305e+060.0000143.820378e-06-2.1722830.0002450.000010-2.541974
std444.958529232.477466233.054659231.908010232.479010612.807795232.4795050.0037190.0694210.8244336.8763531.9933433.2329340.4995291.616104e+001.0885802.8740230.0015480.47706770.0316000.1359340.1431880.4999830.44886998.8944798.75639717.3479220.4999651.0421360.4348760.4325620.4329240.4316651.6963641.6937261.6927191.6931200.0015482.8740230.0694210.6646320.8566722.2047833.139495e+111.3292641.025480e+000.4865980.2640393.881696e+030.796400232.4774370.0035720.002972232.4777490.0041540.0027640.4657830.4657770.4657330.4657850.465787232.4777490.0041540.002764232.4777490.0041540.0027649.513705e-024.137912e-031.041633e-020.1784080.1756890.0995510.0934640.0526690.0426323.526777e+05285.9065230.0007740.0020200.0041180.0004040.0097170.0191700.1206260.0709181.231972e+040.168640.0747483.264458e+090.0009140.0007013.830831e+090.0003521.500229e-04682.8053320.0042000.0026681066.402461
min1.000000138.324000147.2000006.950000138.2383330.000011138.099617-0.1173831.0000000.0000050.0000000.0000001.0000002020.000000-2.842171e-140.0000000.000000-0.095890-27.169167-25500.0000010.0000000.0000000.0000000.0000001.0000001.0000000.0000000.0000001.0000000.0000000.0000000.0000000.0000001.0000001.0000001.0000001.0000000.9041100.0000001.000000-210.1390000.000000-38.9300000.000000e+00-420.278000-1.065814e-12-27.921973-17.598712-2.649557e+06-515.199570139.0160001.0000000.021350138.4308331.0000000.0161414.9368024.9985632.0731724.9361874.935190138.4308331.0000000.016141138.4308331.0000000.016141-2.842171e-10-1.312236e-16-9.622409e-140.0000000.0000000.0000000.0000000.0000000.0000002.385767e-030.0011930.6440150.6931470.6931470.6654790.2402270.000000-18.668500-2.625759-1.079540e+07-41.30400-6.906011-1.055531e+12-0.085325-0.036300-9.007199e+11-0.039418-5.463259e-03-540132.118993-0.589175-0.161983-567058.532160
25%79.000000256.273333256.750000255.880000256.27312579.555669256.268638-0.0014661.0014810.7494616.0000001.0000003.0000002020.0000001.780000e-010.1760000.520000-0.000477-0.0900000.4452690.1411060.1337430.0000000.00000075.0000008.00000014.0000000.0000001.0000000.0000000.0000000.0000000.0000002.0000002.0000002.0000002.0000000.9995230.5200001.001481-0.0541670.0675000.1550001.654757e+00-0.1083336.818182e-01-0.088299-0.044279-1.719987e+00-1.322649256.2950001.0007340.998138256.2720001.0007120.9981385.5501395.5519905.5486095.5501385.550121256.2720001.0007120.998138256.2720001.0007120.9981384.414165e-017.215522e-041.319368e-030.0000000.0000000.0000000.0000000.0000000.0000002.899710e+04319.9836320.6929080.6934710.6934710.6930310.2407400.000001-0.013286-0.010824-1.722157e+00-0.02125-0.014199-1.623877e+00-0.000050-0.000080-1.346158e+00-0.000024-1.789517e-05-1.677520-0.000437-0.000437-1.728308
50%146.000000389.174500389.965000388.395000389.169000181.279816389.169269-0.0001071.0023271.14579212.0000003.0000006.0000002020.0000003.300000e-010.3240000.9200000.0000000.0000000.8013940.2148570.2100640.0000000.000000156.00000015.00000029.0000001.0000002.0000000.0000000.0000000.0000000.0000004.0000004.0000004.0000003.0000001.0000000.9200001.0023270.0025000.1800000.3966673.400000e+000.0050001.022412e+000.0004190.000876-7.258465e-01-1.020924389.1771881.0011610.998846389.1733331.0011520.9988635.9665945.9686185.9645945.9665805.966581389.1733331.0011520.998863389.1733331.0011520.9988635.051025e-011.160864e-032.631635e-030.0000000.0000000.0000000.0000000.0000000.0000007.007306e+04462.3039270.6931470.6936970.6936930.6931480.2410330.0000030.0022500.000323-7.412153e-010.000000.000000-5.275057e-010.0000000.000000-1.941209e-010.0000036.064413e-07-0.6488720.000125-0.000003-0.723745
75%293.000000553.441667554.430000552.670000553.452500402.678031553.4372630.0012591.0037331.70015117.0000005.0000008.0000002021.0000005.933333e-010.5925001.6300000.0004750.0900001.3860570.3134900.3177621.0000001.000000236.00000023.00000044.0000001.0000003.0000001.0000000.0000000.0000000.0000005.0000005.0000005.0000005.0000001.0004751.6300001.0037330.0625000.4320000.7950008.439024e+000.1250001.513199e+000.0917150.0479942.712089e-01-0.790453553.5401561.0018660.999271553.4352501.0018740.9992966.3179626.3197436.3165696.3179816.317954553.4352501.0018740.999296553.4352501.0018740.9992965.693647e-011.880804e-035.217519e-030.0000000.0000000.0000000.0000000.0000000.0000001.713605e+05650.1425740.6933850.6940770.6940710.6932680.2415200.0000060.0200000.0122552.493218e-010.017500.0161433.025050e-010.0001500.0001123.845107e-010.0000332.241036e-050.3718710.0008100.0004320.284531
max26726.0000001638.4266671644.5600001622.4600001640.22333324547.9609431631.5930380.11707662.43884941.51053423.0000006.00000012.0000002021.0000004.706017e+02421.394000586.7400000.08884124.80083310680.0000000.9845630.9950541.0000001.000000366.00000031.00000059.0000001.0000004.0000001.0000001.0000001.0000001.0000006.0000006.0000006.0000006.0000001.088841586.74000062.438849202.03250054.338333487.5366677.986852e+13404.0650001.091622e+0265.25456967.4995697.842502e+041.0000001633.9233331.5589271.0000001635.8566671.8193921.0000007.4021027.4058367.3923157.4031977.3979251635.8566671.8193921.0000001635.8566671.8193921.0000009.947469e-017.841670e-011.860772e+001.0000001.0000001.0000001.0000001.0000001.0000001.841514e+078967.7281220.7366091.0107654.1372800.7791978.61152517.02717311.0705003.6555721.585152e+0618.655008.1125781.407375e+120.1165500.0589731.801440e+120.0322497.652237e-0362982.7259290.7416920.162401318085.965856
\n
"},"metadata":{}}],"execution_count":19},{"cell_type":"code","source":"# Number of features (without target)\nnum_features = df_train.shape[1]-1\nnum_features","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-03-11T14:03:52.171013Z","iopub.execute_input":"2025-03-11T14:03:52.171171Z","iopub.status.idle":"2025-03-11T14:03:52.176001Z","shell.execute_reply.started":"2025-03-11T14:03:52.171151Z","shell.execute_reply":"2025-03-11T14:03:52.175307Z"}},"outputs":[{"execution_count":20,"output_type":"execute_result","data":{"text/plain":"99"},"metadata":{}}],"execution_count":20},{"cell_type":"code","source":"def get_train_test_data_from_02_to_05_month(df, scaler=False):\n # Get train, train_target, valid, valid_target in 02, 03, 04 months\n \n df_02_05 = df[df.ds.dt.month.isin([2, 3, 4])]\n \n # select 10% fraction in each year for test\n df_02_05_test3 = df_02_05[df.ds.dt.year == 2020].sample(frac=0.1, random_state=seed).sort_values(by='ds')\n df_02_05_test4 = df_02_05[df.ds.dt.year == 2021].sample(frac=0.1, random_state=seed).sort_values(by='ds')\n \n #crate train and test \n df_02_05_test = pd.concat([df_02_05_test3, df_02_05_test4])\n\n df_02_05_train = df_02_05[ ~df_02_05.isin(df_02_05_test)].dropna()\n df_02_05_train = df_02_05_train.reset_index(drop=True)\n \n def get_X_y(df):\n # Get dateframe, it's target from 'Target' and drop 'ds'\n y = df.pop('Target')\n# X = df.drop(columns=['ds', 'timestamp']).reset_index(drop=True) \n X = df.drop(columns=['ds']).reset_index(drop=True) \n\n return X, y\n\n # Get train/valid datasets\n train, train_target = get_X_y(df_02_05_train)\n valid, valid_target = get_X_y(df_02_05_test)\n print(f'Length of the train dataset - {len(train)}, length of the valid dataset - {len(valid)}')\n \n display(train[:3])\n display(valid[:3])\n print('Nulls train: ', train.isnull().sum().sum(), 'Nulls test: ', valid.isnull().sum().sum())\n \n # Standartization\n if scaler:\n scaler = StandardScaler().fit(train)\n train = pd.DataFrame(scaler.transform(train), columns = train.columns)\n valid = pd.DataFrame(scaler.transform(valid), columns = valid.columns)\n \n return train, train_target, valid, valid_target","metadata":{"papermill":{"duration":0.024354,"end_time":"2022-01-21T18:19:26.718376","exception":false,"start_time":"2022-01-21T18:19:26.694022","status":"completed"},"tags":[],"trusted":true,"execution":{"iopub.status.busy":"2025-03-11T14:03:52.178277Z","iopub.execute_input":"2025-03-11T14:03:52.178464Z","iopub.status.idle":"2025-03-11T14:03:52.189015Z","shell.execute_reply.started":"2025-03-11T14:03:52.178442Z","shell.execute_reply":"2025-03-11T14:03:52.188456Z"}},"outputs":[],"execution_count":21},{"cell_type":"markdown","source":"## 4. Model training and prediction \n\n[Back to Table of Contents](#0.1)","metadata":{"papermill":{"duration":0.015273,"end_time":"2022-01-21T18:19:26.749247","exception":false,"start_time":"2022-01-21T18:19:26.733974","status":"completed"},"tags":[]}},{"cell_type":"code","source":"def model_training(model_type, train, train_target):\n # Model training\n \n def hyperopt_model_score(params):\n # Get the modeling score\n \n if model_type=='XGBRegressor':\n clf = XGBRegressor(**params)\n elif model_type=='LGBMRegressor':\n clf = LGBMRegressor(**params)\n elif model_type == 'RandomForestRegressor':\n clf = RandomForestRegressor(**params)\n elif model_type == 'CatBoostRegressor':\n clf = CatBoostRegressor(**params)\n \n current_score = cross_val_score(clf, train, train_target, cv=cv_number).mean()\n print(current_score, params)\n return current_score \n\n \n if model_type=='XGBRegressor':\n space_par = {\n 'learning_rate': hp.quniform('learning_rate', 0.01, 0.5, 0.0001),\n 'n_estimators': hp.choice('n_estimators', range(500, 1200)),\n 'max_depth': hp.choice('max_depth', np.arange(5, 8, dtype=int)),\n 'colsample_bytree': hp.quniform('colsample_bytree', 0.5, 1, 0.005),\n# 'tree_method': 'gpu_hist'\n }\n\n elif model_type=='LGBMRegressor':\n space_par = {\n 'learning_rate': hp.quniform('learning_rate', 0.1, 0.15, 0.01),\n 'n_estimators': hp.choice('n_estimators', range(1000, 3000)),\n 'max_depth': hp.choice('max_depth', np.arange(8, 13, dtype=int)),\n 'num_leaves': hp.choice('num_leaves', np.arange(300, 800, dtype=int)),\n# 'colsample_bytree': hp.quniform('colsample_bytree', 0.1, 1, 0.1),\n 'objective': 'regression',\n 'device': 'gpu'\n }\n \n elif model_type == 'CatBoostRegressor':\n space_par = {\n 'learning_rate': hp.quniform('learning_rate', 0.1, 0.3, 0.01),\n 'iterations': hp.choice('iterations', range(3000, 8000)),\n 'max_depth': hp.choice('max_depth', np.arange(9,13, dtype=int)),\n #'num_leaves': hp.choice('num_leaves', np.arange(300, 1000, dtype=int)),\n 'l2_leaf_reg': hp.quniform('l2_leaf_reg', 0.1, 0.5, 0.05), \n 'task_type': 'GPU',\n 'verbose': 0, \n } \n best = fmin(fn=hyperopt_model_score, space=space_par, algo=tpe.suggest, max_evals=3)\n print('best:\\n', best)\n params = space_eval(space_par, best)\n print('Model parameters:\\n',params)\n \n return params","metadata":{"papermill":{"duration":0.022819,"end_time":"2022-01-21T18:19:26.787517","exception":false,"start_time":"2022-01-21T18:19:26.764698","status":"completed"},"tags":[],"trusted":true,"execution":{"iopub.status.busy":"2025-03-11T14:03:52.190141Z","iopub.execute_input":"2025-03-11T14:03:52.190474Z","iopub.status.idle":"2025-03-11T14:03:52.206012Z","shell.execute_reply.started":"2025-03-11T14:03:52.190441Z","shell.execute_reply":"2025-03-11T14:03:52.205336Z"}},"outputs":[],"execution_count":22},{"cell_type":"code","source":"def model_fit(model_type, train, train_target, valid, valid_target, res, w):\n # Prediction by the model with optimal parameters\n\n params = model_training(model_type, train, train_target)\n model = LGBMRegressor(**params) \n# model = CatBoostRegressor(**params) \n\n model.fit(train, train_target)\n y_pred = model.predict(valid)\n res.loc[w, 'r2_score'] = round(r2_score(valid_target, y_pred),4)\n res.loc[w, 'corr'] = round(np.corrcoef(valid_target, y_pred)[0][1],4)\n res.loc[w, 'mae'] = round(mean_absolute_error(valid_target, y_pred),4)\n res.loc[w, 'mse'] = round(mean_squared_error(valid_target, y_pred),4)\n res.loc[w, 'rmse'] = round(mean_squared_error(valid_target, y_pred, squared=False),4)\n res.loc[w, 'cos_dist'] = round(1 - spatial.distance.cosine(valid_target, y_pred),4)\n \n return res, model","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-03-11T14:03:52.206786Z","iopub.execute_input":"2025-03-11T14:03:52.206995Z","iopub.status.idle":"2025-03-11T14:03:52.222429Z","shell.execute_reply.started":"2025-03-11T14:03:52.206973Z","shell.execute_reply":"2025-03-11T14:03:52.221799Z"}},"outputs":[],"execution_count":23},{"cell_type":"code","source":"def plotImp(model, name_model, X, acc, num = 100, fig_size = (50, 70)):\n # Draw FI diagram\n # Thanks to https://stackoverflow.com/questions/53413701/feature-importance-using-lightgbm\n \n feature_imp = pd.DataFrame({'Feature':X.columns, 'Value':model.feature_importances_})\n plt.figure(figsize=fig_size)\n sns.set(font_scale = 5)\n sns.barplot(x=\"Value\", y=\"Feature\", data=feature_imp.sort_values(by=\"Value\", \n ascending=False)[0:num])\n plt.title(f'{name_model} Features Diagram')\n plt.tight_layout()\n feature_imp.sort_values(by=\"Value\", ascending=False).to_csv(f'res-FE-{Asset_ID}-{name_model}-acc-{acc}-{num_features}-features.csv', index=False)\n plt.show() ","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-03-11T14:03:52.223266Z","iopub.execute_input":"2025-03-11T14:03:52.223451Z","iopub.status.idle":"2025-03-11T14:03:52.235819Z","shell.execute_reply.started":"2025-03-11T14:03:52.22343Z","shell.execute_reply":"2025-03-11T14:03:52.235304Z"}},"outputs":[],"execution_count":24},{"cell_type":"code","source":"%%time\n# Get train and valid datasets\ntrain, train_target, valid, valid_target = get_train_test_data_from_02_to_05_month(df_train, scaler=False)\n\n# Results of the models training\nres = pd.DataFrame(columns = ['asset_name', 'num_train', 'num_valid', 'r2_score', 'mae', 'mse', 'rmse', 'corr', 'cos_dist'])\n\n# Training model\n#name_model = models[i]\nname_model = 'LGBMRegressor'\n# name_model = 'CatBoostRegressor'\nres, model = model_fit(name_model, train, train_target, valid, valid_target, res, 0)\n\n# Draw FI diagram\nplotImp(model, name_model, train, float(res.loc[0,'cos_dist']))\n\nfeature_imp = pd.DataFrame({'Feature':train.columns, 'Value':model.feature_importances_}).sort_values(by='Value', ascending=False)\ndisplay(feature_imp)\n","metadata":{"papermill":{"duration":4512.585801,"end_time":"2022-01-21T19:34:39.390411","exception":false,"start_time":"2022-01-21T18:19:26.80461","status":"completed"},"tags":[],"trusted":true,"execution":{"iopub.status.busy":"2025-03-11T14:03:52.236828Z","iopub.execute_input":"2025-03-11T14:03:52.237483Z","iopub.status.idle":"2025-03-11T14:19:57.95882Z","shell.execute_reply.started":"2025-03-11T14:03:52.237448Z","shell.execute_reply":"2025-03-11T14:19:57.95803Z"}},"outputs":[{"name":"stdout","text":"Length of the train dataset - 208099, length of the valid dataset - 23122\n","output_type":"stream"},{"output_type":"display_data","data":{"text/plain":" Count Open High Low Close Volume VWAP \\\n0 186.0 375.406 376.46 374.90 375.558000 289.457983 375.575828 \n1 79.0 375.330 375.61 375.11 375.523333 159.423698 375.305616 \n2 98.0 375.212 375.59 374.30 374.946000 239.121376 374.868206 \n\n high2low volume2count hour dayofweek month year upper_shadow \\\n0 1.004161 1.547904 0.0 5.0 2.0 2020.0 0.902000 \n1 1.001333 1.992796 0.0 5.0 2.0 2020.0 0.086667 \n2 1.003446 2.415367 0.0 5.0 2.0 2020.0 0.378000 \n\n lower_shadow h_l return close2open hlco_ratio Close_position \\\n0 0.506 1.56 0.000405 0.076000 1.352992 0.256931 \n1 0.220 0.50 0.000515 0.096667 0.418644 0.275372 \n2 0.646 1.29 -0.000709 -0.133000 1.755102 0.281973 \n\n Open_position close_mt_open is_weekend yearday monthday minute is_PM \\\n0 0.197579 1.0 1.0 32.0 1.0 1.0 0.0 \n1 0.146569 1.0 1.0 32.0 1.0 4.0 0.0 \n2 0.398079 0.0 1.0 32.0 1.0 5.0 0.0 \n\n quarter 1q 2q 3q 4q h4_0 h4_1 h4_2 h4_3 close/open high-low \\\n0 1.0 1.0 0.0 0.0 0.0 1.0 6.0 6.0 6.0 1.000405 1.56 \n1 1.0 1.0 0.0 0.0 0.0 1.0 6.0 6.0 6.0 1.000515 0.50 \n2 1.0 1.0 0.0 0.0 0.0 1.0 6.0 6.0 6.0 0.999291 1.29 \n\n high/low hammer body dozhi dozhi_div up_shdw_sub_lo_shdw \\\n0 1.004161 0.198000 0.152000 1.256000 9.263158 0.396000 \n1 1.001333 -0.066667 0.193333 0.113333 1.586207 -0.133333 \n2 1.003446 -0.134000 0.266000 0.758000 3.849624 -0.268000 \n\n up_shdw_div_lo_shdw Cls_sub_VWAP OpnCls_sub_VWAP OpnVWAP_2_ClsVWAP \\\n0 1.782609 -0.017828 -0.093828 9.525821 \n1 0.393939 0.217717 0.121050 0.111997 \n2 0.585139 0.077794 0.210794 4.419294 \n\n HighVWAP_2_LowVWAP mean high/mean low/mean median \\\n0 -1.308279 375.581000 1.002340 0.998187 375.482000 \n1 -1.556024 375.393333 1.000577 0.999245 375.426667 \n2 -1.270303 375.012000 1.001541 0.998101 375.079000 \n\n high/median low/median log_1p_Open log_1p_High log_1p_Low \\\n0 1.002605 0.998450 5.930668 5.933465 5.929323 \n1 1.000488 0.999157 5.930466 5.931210 5.929882 \n2 1.001362 0.997923 5.930153 5.931157 5.927726 \n\n log_1p_Close log_1p_VWAP mean_main high/mean_main low/mean_main \\\n0 5.931072 5.931119 375.482000 1.002605 0.998450 \n1 5.930980 5.930402 375.426667 1.000488 0.999157 \n2 5.929446 5.929239 375.079000 1.001362 0.997923 \n\n median_main high/median_main low/median_main Rel_Upper Upper_VWAP \\\n0 375.482000 1.002605 0.998450 0.566740 0.002354 \n1 375.426667 1.000488 0.999157 0.608646 0.000811 \n2 375.079000 1.001362 0.997923 0.559487 0.001925 \n\n Upper_Vol is_month_start is_month_end is_quarter_start is_quarter_end \\\n0 0.003055 1.0 0.0 0.0 0.0 \n1 0.001909 1.0 0.0 0.0 0.0 \n2 0.003019 1.0 0.0 0.0 0.0 \n\n is_year_start is_year_end Dollars Dollars_per_trade log_ret \\\n0 0.0 0.0 108708.261161 581.327600 0.693350 \n1 0.0 0.0 59867.318609 748.341483 0.693405 \n2 0.0 0.0 89657.603547 905.632359 0.692793 \n\n log_ret_H log_ret_L log_ret_VWAP GK_vol RS_vol hammer_9 \\\n0 0.694347 0.694024 0.693123 0.241669 9.090944e-06 -0.013917 \n1 0.693263 0.693698 0.693437 0.240688 8.177996e-07 -0.010250 \n2 0.694006 0.694010 0.693251 0.241421 5.924464e-06 -0.035000 \n\n OpnCls_sub_VWAP_9 OpnVWAP_2_ClsVWAP_9 hammer_11 OpnCls_sub_VWAP_11 \\\n0 0.006533 -1.430009 0.015 -0.023596 \n1 0.011014 -3.117385 -0.070 0.027197 \n2 0.023674 6.313459 0.000 0.000000 \n\n OpnVWAP_2_ClsVWAP_11 hammer_8 OpnCls_sub_VWAP_8 OpnVWAP_2_ClsVWAP_8 \\\n0 -3.876862 -0.00015 0.000255 0.671857 \n1 -20.406632 0.00000 0.000000 0.000000 \n2 0.000000 0.00000 -0.000071 1.000000 \n\n hammer_12 OpnCls_sub_VWAP_12 OpnVWAP_2_ClsVWAP_12 hammer_5 \\\n0 0.000010 -0.000012 -0.363041 0.002275 \n1 0.000023 -0.000006 -0.431091 0.000110 \n2 0.000011 0.000013 0.159981 -0.000481 \n\n OpnCls_sub_VWAP_5 OpnVWAP_2_ClsVWAP_5 \n0 0.000355 -2.182965 \n1 -0.000009 -1.020819 \n2 0.003685 5.777483 ","text/html":"
\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
CountOpenHighLowCloseVolumeVWAPhigh2lowvolume2counthourdayofweekmonthyearupper_shadowlower_shadowh_lreturnclose2openhlco_ratioClose_positionOpen_positionclose_mt_openis_weekendyeardaymonthdayminuteis_PMquarter1q2q3q4qh4_0h4_1h4_2h4_3close/openhigh-lowhigh/lowhammerbodydozhidozhi_divup_shdw_sub_lo_shdwup_shdw_div_lo_shdwCls_sub_VWAPOpnCls_sub_VWAPOpnVWAP_2_ClsVWAPHighVWAP_2_LowVWAPmeanhigh/meanlow/meanmedianhigh/medianlow/medianlog_1p_Openlog_1p_Highlog_1p_Lowlog_1p_Closelog_1p_VWAPmean_mainhigh/mean_mainlow/mean_mainmedian_mainhigh/median_mainlow/median_mainRel_UpperUpper_VWAPUpper_Volis_month_startis_month_endis_quarter_startis_quarter_endis_year_startis_year_endDollarsDollars_per_tradelog_retlog_ret_Hlog_ret_Llog_ret_VWAPGK_volRS_volhammer_9OpnCls_sub_VWAP_9OpnVWAP_2_ClsVWAP_9hammer_11OpnCls_sub_VWAP_11OpnVWAP_2_ClsVWAP_11hammer_8OpnCls_sub_VWAP_8OpnVWAP_2_ClsVWAP_8hammer_12OpnCls_sub_VWAP_12OpnVWAP_2_ClsVWAP_12hammer_5OpnCls_sub_VWAP_5OpnVWAP_2_ClsVWAP_5
0186.0375.406376.46374.90375.558000289.457983375.5758281.0041611.5479040.05.02.02020.00.9020000.5061.560.0004050.0760001.3529920.2569310.1975791.01.032.01.01.00.01.01.00.00.00.01.06.06.06.01.0004051.561.0041610.1980000.1520001.2560009.2631580.3960001.782609-0.017828-0.0938289.525821-1.308279375.5810001.0023400.998187375.4820001.0026050.9984505.9306685.9334655.9293235.9310725.931119375.4820001.0026050.998450375.4820001.0026050.9984500.5667400.0023540.0030551.00.00.00.00.00.0108708.261161581.3276000.6933500.6943470.6940240.6931230.2416699.090944e-06-0.0139170.006533-1.4300090.015-0.023596-3.876862-0.000150.0002550.6718570.000010-0.000012-0.3630410.0022750.000355-2.182965
179.0375.330375.61375.11375.523333159.423698375.3056161.0013331.9927960.05.02.02020.00.0866670.2200.500.0005150.0966670.4186440.2753720.1465691.01.032.01.04.00.01.01.00.00.00.01.06.06.06.01.0005150.501.001333-0.0666670.1933330.1133331.586207-0.1333330.3939390.2177170.1210500.111997-1.556024375.3933331.0005770.999245375.4266671.0004880.9991575.9304665.9312105.9298825.9309805.930402375.4266671.0004880.999157375.4266671.0004880.9991570.6086460.0008110.0019091.00.00.00.00.00.059867.318609748.3414830.6934050.6932630.6936980.6934370.2406888.177996e-07-0.0102500.011014-3.117385-0.0700.027197-20.4066320.000000.0000000.0000000.000023-0.000006-0.4310910.000110-0.000009-1.020819
298.0375.212375.59374.30374.946000239.121376374.8682061.0034462.4153670.05.02.02020.00.3780000.6461.29-0.000709-0.1330001.7551020.2819730.3980790.01.032.01.05.00.01.01.00.00.00.01.06.06.06.00.9992911.291.003446-0.1340000.2660000.7580003.849624-0.2680000.5851390.0777940.2107944.419294-1.270303375.0120001.0015410.998101375.0790001.0013620.9979235.9301535.9311575.9277265.9294465.929239375.0790001.0013620.997923375.0790001.0013620.9979230.5594870.0019250.0030191.00.00.00.00.00.089657.603547905.6323590.6927930.6940060.6940100.6932510.2414215.924464e-06-0.0350000.0236746.3134590.0000.0000000.0000000.00000-0.0000711.0000000.0000110.0000130.159981-0.0004810.0036855.777483
\n
"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":" Count Open High Low Close Volume VWAP \\\n0 143.0 375.1600 375.67 374.60 374.9640 337.577649 375.018701 \n1 216.0 376.4625 377.16 375.99 376.4925 280.839392 376.541374 \n2 138.0 376.7975 376.97 376.14 376.6000 227.836584 376.690950 \n\n high2low volume2count hour dayofweek month year upper_shadow \\\n0 1.002856 2.344289 0 5 2 2020 0.5100 \n1 1.003112 1.294191 0 5 2 2020 0.6675 \n2 1.002207 1.639112 0 5 2 2020 0.1725 \n\n lower_shadow h_l return close2open hlco_ratio Close_position \\\n0 0.3640 1.07 -0.000522 -0.09800 1.329193 0.175761 \n1 0.4725 1.17 0.000080 0.01500 1.134821 0.231460 \n2 0.4600 0.83 -0.000524 -0.09875 1.032981 0.251229 \n\n Open_position close_mt_open is_weekend yearday monthday minute is_PM \\\n0 0.270401 0 1 32 1 3 0 \n1 0.217642 1 1 32 1 11 0 \n2 0.359093 0 1 32 1 16 0 \n\n quarter 1q 2q 3q 4q h4_0 h4_1 h4_2 h4_3 close/open high-low \\\n0 1 1 0 0 0 1 6 6 6 0.999478 1.07 \n1 1 1 0 0 0 1 6 6 6 1.000080 1.17 \n2 1 0 1 0 0 1 6 6 6 0.999476 0.83 \n\n high/low hammer body dozhi dozhi_div up_shdw_sub_lo_shdw \\\n0 1.002856 0.07300 0.1960 0.678 4.459184 0.1460 \n1 1.003112 0.09750 0.0300 1.110 38.000000 0.1950 \n2 1.002207 -0.14375 0.1975 0.435 3.202532 -0.2875 \n\n up_shdw_div_lo_shdw Cls_sub_VWAP OpnCls_sub_VWAP OpnVWAP_2_ClsVWAP \\\n0 1.401099 -0.054701 0.043299 -2.583129 \n1 1.412698 -0.048874 -0.063874 1.613826 \n2 0.375000 -0.090950 0.007800 -1.171513 \n\n HighVWAP_2_LowVWAP mean high/mean low/mean median \\\n0 -1.555524 375.098500 1.001524 0.998671 375.06200 \n1 -1.121973 376.526250 1.001683 0.998576 376.47750 \n2 -0.506488 376.626875 1.000911 0.998707 376.69875 \n\n high/median low/median log_1p_Open log_1p_High log_1p_Low \\\n0 1.001621 0.998768 5.930015 5.931369 5.928525 \n1 1.001813 0.998705 5.933471 5.935317 5.932219 \n2 1.000720 0.998517 5.934358 5.934815 5.932616 \n\n log_1p_Close log_1p_VWAP mean_main high/mean_main low/mean_main \\\n0 5.929493 5.929639 375.06200 1.001621 0.998768 \n1 5.933551 5.933680 376.47750 1.001813 0.998705 \n2 5.933835 5.934076 376.69875 1.000720 0.998517 \n\n median_main high/median_main low/median_main Rel_Upper Upper_VWAP \\\n0 375.06200 1.001621 0.998768 0.608634 0.001737 \n1 376.47750 1.001813 0.998705 0.528695 0.001643 \n2 376.69875 1.000720 0.998517 0.336164 0.000741 \n\n Upper_Vol is_month_start is_month_end is_quarter_start is_quarter_end \\\n0 0.001929 1 0 0 0 \n1 0.002203 1 0 0 0 \n2 0.001225 1 0 0 0 \n\n is_year_start is_year_end Dollars Dollars_per_trade log_ret \\\n0 0 0 126579.465647 879.024067 0.692886 \n1 0 0 105733.924642 487.253109 0.693187 \n2 0 0 85803.257459 617.289622 0.692885 \n\n log_ret_H log_ret_L log_ret_VWAP GK_vol RS_vol hammer_9 \\\n0 0.694088 0.693633 0.693074 0.241217 0.000004 -0.046167 \n1 0.694033 0.693815 0.693082 0.241305 0.000005 -0.023400 \n2 0.693638 0.693758 0.693026 0.240991 0.000003 -0.000400 \n\n OpnCls_sub_VWAP_9 OpnVWAP_2_ClsVWAP_9 hammer_11 OpnCls_sub_VWAP_11 \\\n0 0.030085 -0.014982 0.000000 0.004709 \n1 0.002596 -0.804803 -0.025667 0.018271 \n2 -0.002591 26.181321 0.010000 0.016810 \n\n OpnVWAP_2_ClsVWAP_11 hammer_8 OpnCls_sub_VWAP_8 OpnVWAP_2_ClsVWAP_8 \\\n0 -33.410220 0.000050 -0.000040 1.000000 \n1 1.200749 -0.000125 0.000041 4.047345 \n2 -3.548932 0.000000 0.000079 -1.427761 \n\n hammer_12 OpnCls_sub_VWAP_12 OpnVWAP_2_ClsVWAP_12 hammer_5 \\\n0 -0.000006 2.269739e-05 123.692013 0.00105 \n1 -0.000020 -6.622217e-06 -4.025374 0.00116 \n2 0.000002 1.484393e-07 -0.887904 -0.00011 \n\n OpnCls_sub_VWAP_5 OpnVWAP_2_ClsVWAP_5 \n0 0.000909 0.129353 \n1 -0.001848 -2.256732 \n2 -0.000015 -0.988444 ","text/html":"
\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
CountOpenHighLowCloseVolumeVWAPhigh2lowvolume2counthourdayofweekmonthyearupper_shadowlower_shadowh_lreturnclose2openhlco_ratioClose_positionOpen_positionclose_mt_openis_weekendyeardaymonthdayminuteis_PMquarter1q2q3q4qh4_0h4_1h4_2h4_3close/openhigh-lowhigh/lowhammerbodydozhidozhi_divup_shdw_sub_lo_shdwup_shdw_div_lo_shdwCls_sub_VWAPOpnCls_sub_VWAPOpnVWAP_2_ClsVWAPHighVWAP_2_LowVWAPmeanhigh/meanlow/meanmedianhigh/medianlow/medianlog_1p_Openlog_1p_Highlog_1p_Lowlog_1p_Closelog_1p_VWAPmean_mainhigh/mean_mainlow/mean_mainmedian_mainhigh/median_mainlow/median_mainRel_UpperUpper_VWAPUpper_Volis_month_startis_month_endis_quarter_startis_quarter_endis_year_startis_year_endDollarsDollars_per_tradelog_retlog_ret_Hlog_ret_Llog_ret_VWAPGK_volRS_volhammer_9OpnCls_sub_VWAP_9OpnVWAP_2_ClsVWAP_9hammer_11OpnCls_sub_VWAP_11OpnVWAP_2_ClsVWAP_11hammer_8OpnCls_sub_VWAP_8OpnVWAP_2_ClsVWAP_8hammer_12OpnCls_sub_VWAP_12OpnVWAP_2_ClsVWAP_12hammer_5OpnCls_sub_VWAP_5OpnVWAP_2_ClsVWAP_5
0143.0375.1600375.67374.60374.9640337.577649375.0187011.0028562.34428905220200.51000.36401.07-0.000522-0.098001.3291930.1757610.27040101321301100016660.9994781.071.0028560.073000.19600.6784.4591840.14601.401099-0.0547010.043299-2.583129-1.555524375.0985001.0015240.998671375.062001.0016210.9987685.9300155.9313695.9285255.9294935.929639375.062001.0016210.998768375.062001.0016210.9987680.6086340.0017370.001929100000126579.465647879.0240670.6928860.6940880.6936330.6930740.2412170.000004-0.0461670.030085-0.0149820.0000000.004709-33.4102200.000050-0.0000401.000000-0.0000062.269739e-05123.6920130.001050.0009090.129353
1216.0376.4625377.16375.99376.4925280.839392376.5413741.0031121.29419105220200.66750.47251.170.0000800.015001.1348210.2314600.217642113211101100016661.0000801.171.0031120.097500.03001.11038.0000000.19501.412698-0.048874-0.0638741.613826-1.121973376.5262501.0016830.998576376.477501.0018130.9987055.9334715.9353175.9322195.9335515.933680376.477501.0018130.998705376.477501.0018130.9987050.5286950.0016430.002203100000105733.924642487.2531090.6931870.6940330.6938150.6930820.2413050.000005-0.0234000.002596-0.804803-0.0256670.0182711.200749-0.0001250.0000414.047345-0.000020-6.622217e-06-4.0253740.00116-0.001848-2.256732
2138.0376.7975376.97376.14376.6000227.836584376.6909501.0022071.63911205220200.17250.46000.83-0.000524-0.098751.0329810.2512290.359093013211601010016660.9994760.831.002207-0.143750.19750.4353.202532-0.28750.375000-0.0909500.007800-1.171513-0.506488376.6268751.0009110.998707376.698751.0007200.9985175.9343585.9348155.9326165.9338355.934076376.698751.0007200.998517376.698751.0007200.9985170.3361640.0007410.00122510000085803.257459617.2896220.6928850.6936380.6937580.6930260.2409910.000003-0.000400-0.00259126.1813210.0100000.016810-3.5489320.0000000.000079-1.4277610.0000021.484393e-07-0.887904-0.00011-0.000015-0.988444
\n
"},"metadata":{}},{"name":"stdout","text":"Nulls train: 0 Nulls test: 0\n 0%| | 0/3 [00:00","image/png":"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\n"},"metadata":{"needs_background":"light"}},{"output_type":"display_data","data":{"text/plain":" Feature Value\n25 minute 11544\n23 yearday 9957\n88 OpnVWAP_2_ClsVWAP_11 9431\n92 hammer_12 9416\n95 hammer_5 9362\n.. ... ...\n72 is_quarter_end 30\n21 close_mt_open 9\n27 quarter 9\n74 is_year_end 0\n73 is_year_start 0\n\n[98 rows x 2 columns]","text/html":"
\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
FeatureValue
25minute11544
23yearday9957
88OpnVWAP_2_ClsVWAP_119431
92hammer_129416
95hammer_59362
.........
72is_quarter_end30
21close_mt_open9
27quarter9
74is_year_end0
73is_year_start0
\n

98 rows × 2 columns

\n
"},"metadata":{}},{"name":"stdout","text":"CPU times: user 1h 1min 5s, sys: 56.7 s, total: 1h 2min 2s\nWall time: 16min 5s\n","output_type":"stream"}],"execution_count":25},{"cell_type":"code","source":"selected_features = feature_imp[feature_imp.Value > 0].Feature[:100].to_list()\nprint(f'Selected features: {selected_features}')\n \nres['asset_name'] = asset_name\nres['num_train'] = len(train)\nres['num_valid'] = len(valid)\nres.sort_values(by='r2_score', ascending=False).to_csv(f'res-metric-{Asset_ID}-{name_model}-score-{res.r2_score[0]}-{num_features}-features.csv', index=False)\nres","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-03-11T14:19:57.959877Z","iopub.execute_input":"2025-03-11T14:19:57.960091Z","iopub.status.idle":"2025-03-11T14:19:57.976459Z","shell.execute_reply.started":"2025-03-11T14:19:57.960066Z","shell.execute_reply":"2025-03-11T14:19:57.975644Z"}},"outputs":[{"name":"stdout","text":"Selected features: ['minute', 'yearday', 'OpnVWAP_2_ClsVWAP_11', 'hammer_12', 'hammer_5', 'OpnVWAP_2_ClsVWAP_12', 'OpnVWAP_2_ClsVWAP_9', 'hammer_9', 'OpnVWAP_2_ClsVWAP_5', 'OpnCls_sub_VWAP_12', 'OpnCls_sub_VWAP_5', 'OpnVWAP_2_ClsVWAP_8', 'OpnCls_sub_VWAP_11', 'hammer_11', 'OpnCls_sub_VWAP_9', 'OpnCls_sub_VWAP_8', 'Dollars_per_trade', 'hammer_8', 'Upper_Vol', 'Count', 'OpnVWAP_2_ClsVWAP', 'volume2count', 'hour', 'OpnCls_sub_VWAP', 'monthday', 'dozhi_div', 'Volume', 'dozhi', 'Dollars', 'up_shdw_div_lo_shdw', 'upper_shadow', 'hlco_ratio', 'Close_position', 'Open_position', 'lower_shadow', 'body', 'log_ret_L', 'log_ret_VWAP', 'HighVWAP_2_LowVWAP', 'Upper_VWAP', 'log_ret_H', 'Cls_sub_VWAP', 'dayofweek', 'Rel_Upper', 'low/mean', 'RS_vol', 'close2open', 'high/mean', 'hammer', 'h_l', 'h4_3', 'up_shdw_sub_lo_shdw', 'h4_2', 'High', 'low/median', 'h4_1', 'return', 'Low', 'high/median', 'high-low', 'log_1p_High', 'Open', 'Close', 'close/open', 'GK_vol', 'high2low', 'h4_0', 'log_1p_Low', 'high/median_main', '2q', 'mean', 'VWAP', 'low/mean_main', '3q', 'low/median_main', 'log_1p_Close', 'log_ret', 'log_1p_Open', 'high/mean_main', 'median', 'log_1p_VWAP', 'median_main', 'high/low', 'mean_main', 'is_weekend', 'is_PM', 'year', 'month', '4q', '1q', 'is_month_start', 'is_quarter_start', 'is_month_end', 'is_quarter_end', 'close_mt_open', 'quarter']\n","output_type":"stream"},{"execution_count":26,"output_type":"execute_result","data":{"text/plain":" asset_name num_train num_valid r2_score mae mse rmse corr \\\n0 Bitcoin Cash 208099 23122 0.2524 0.0023 0.0 0.0036 0.5036 \n\n cos_dist \n0 0.5036 ","text/html":"
\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
asset_namenum_trainnum_validr2_scoremaemsermsecorrcos_dist
0Bitcoin Cash208099231220.25240.00230.00.00360.50360.5036
\n
"},"metadata":{}}],"execution_count":26},{"cell_type":"code","source":"gc.collect()","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-03-11T14:19:57.977562Z","iopub.execute_input":"2025-03-11T14:19:57.977827Z","iopub.status.idle":"2025-03-11T14:19:58.140091Z","shell.execute_reply.started":"2025-03-11T14:19:57.977793Z","shell.execute_reply":"2025-03-11T14:19:58.139329Z"}},"outputs":[{"execution_count":27,"output_type":"execute_result","data":{"text/plain":"21678"},"metadata":{}}],"execution_count":27},{"cell_type":"code","source":"res","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-03-11T14:19:58.14115Z","iopub.execute_input":"2025-03-11T14:19:58.141347Z","iopub.status.idle":"2025-03-11T14:19:58.157093Z","shell.execute_reply.started":"2025-03-11T14:19:58.141324Z","shell.execute_reply":"2025-03-11T14:19:58.156418Z"}},"outputs":[{"execution_count":28,"output_type":"execute_result","data":{"text/plain":" asset_name num_train num_valid r2_score mae mse rmse corr \\\n0 Bitcoin Cash 208099 23122 0.2524 0.0023 0.0 0.0036 0.5036 \n\n cos_dist \n0 0.5036 ","text/html":"
\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
asset_namenum_trainnum_validr2_scoremaemsermsecorrcos_dist
0Bitcoin Cash208099231220.25240.00230.00.00360.50360.5036
\n
"},"metadata":{}}],"execution_count":28},{"cell_type":"code","source":"selected_features = feature_imp[feature_imp.Value > 0].Feature[:100].to_list()\nprint(f'Selected features: {selected_features}')","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-03-11T14:19:58.157963Z","iopub.execute_input":"2025-03-11T14:19:58.158153Z","iopub.status.idle":"2025-03-11T14:19:58.170172Z","shell.execute_reply.started":"2025-03-11T14:19:58.15813Z","shell.execute_reply":"2025-03-11T14:19:58.169531Z"}},"outputs":[{"name":"stdout","text":"Selected features: ['minute', 'yearday', 'OpnVWAP_2_ClsVWAP_11', 'hammer_12', 'hammer_5', 'OpnVWAP_2_ClsVWAP_12', 'OpnVWAP_2_ClsVWAP_9', 'hammer_9', 'OpnVWAP_2_ClsVWAP_5', 'OpnCls_sub_VWAP_12', 'OpnCls_sub_VWAP_5', 'OpnVWAP_2_ClsVWAP_8', 'OpnCls_sub_VWAP_11', 'hammer_11', 'OpnCls_sub_VWAP_9', 'OpnCls_sub_VWAP_8', 'Dollars_per_trade', 'hammer_8', 'Upper_Vol', 'Count', 'OpnVWAP_2_ClsVWAP', 'volume2count', 'hour', 'OpnCls_sub_VWAP', 'monthday', 'dozhi_div', 'Volume', 'dozhi', 'Dollars', 'up_shdw_div_lo_shdw', 'upper_shadow', 'hlco_ratio', 'Close_position', 'Open_position', 'lower_shadow', 'body', 'log_ret_L', 'log_ret_VWAP', 'HighVWAP_2_LowVWAP', 'Upper_VWAP', 'log_ret_H', 'Cls_sub_VWAP', 'dayofweek', 'Rel_Upper', 'low/mean', 'RS_vol', 'close2open', 'high/mean', 'hammer', 'h_l', 'h4_3', 'up_shdw_sub_lo_shdw', 'h4_2', 'High', 'low/median', 'h4_1', 'return', 'Low', 'high/median', 'high-low', 'log_1p_High', 'Open', 'Close', 'close/open', 'GK_vol', 'high2low', 'h4_0', 'log_1p_Low', 'high/median_main', '2q', 'mean', 'VWAP', 'low/mean_main', '3q', 'low/median_main', 'log_1p_Close', 'log_ret', 'log_1p_Open', 'high/mean_main', 'median', 'log_1p_VWAP', 'median_main', 'high/low', 'mean_main', 'is_weekend', 'is_PM', 'year', 'month', '4q', '1q', 'is_month_start', 'is_quarter_start', 'is_month_end', 'is_quarter_end', 'close_mt_open', 'quarter']\n","output_type":"stream"}],"execution_count":29},{"cell_type":"code","source":"import torch\nimport torch.nn as nn\nimport torch.optim as optim\nimport numpy as np\nimport pandas as pd\nfrom sklearn.model_selection import train_test_split\nfrom sklearn.preprocessing import StandardScaler\nfrom sklearn.metrics import mean_absolute_error, mean_squared_error, r2_score\n\n# ProbSparse Attention Mechanism\nclass ProbSparseAttention(nn.Module):\n \"\"\"ProbSparse Attention mechanism for Informer\"\"\"\n def __init__(self, factor, attention_dropout=0.1):\n super(ProbSparseAttention, self).__init__()\n self.factor = factor\n self.dropout = nn.Dropout(attention_dropout)\n\n def forward(self, queries, keys, values, mask=None):\n scores = torch.matmul(queries, keys.transpose(-2, -1)) / np.sqrt(queries.shape[-1])\n if mask is not None:\n scores = scores.masked_fill(mask == 0, -1e9)\n attn_weights = torch.softmax(scores, dim=-1)\n attn_weights = self.dropout(attn_weights)\n return torch.matmul(attn_weights, values), attn_weights\n\n# Informer Layer\nclass InformerLayer(nn.Module):\n \"\"\"Informer Layer containing ProbSparse Attention\"\"\"\n def __init__(self, d_model, n_heads, factor, dropout=0.1):\n super(InformerLayer, self).__init__()\n self.attention = ProbSparseAttention(factor)\n self.norm1 = nn.LayerNorm(d_model)\n self.norm2 = nn.LayerNorm(d_model)\n self.dropout = nn.Dropout(dropout)\n self.feedforward = nn.Sequential(\n nn.Linear(d_model, d_model),\n nn.ReLU(),\n nn.Linear(d_model, d_model)\n )\n\n def forward(self, x, mask=None):\n attn_output, _ = self.attention(x, x, x, mask)\n x = self.norm1(x + self.dropout(attn_output))\n ff_output = self.feedforward(x)\n return self.norm2(x + self.dropout(ff_output))\n\n# Informer Model\nclass Informer(nn.Module):\n \"\"\"Informer Model for Time-Series Forecasting\"\"\"\n def __init__(self, feature_size, seq_len, pred_len, num_layers, d_model, n_heads, factor, dropout):\n super(Informer, self).__init__()\n self.seq_len = seq_len\n self.pred_len = pred_len\n self.d_model = d_model\n self.linear_in = nn.Linear(feature_size, d_model)\n self.layers = nn.ModuleList([InformerLayer(d_model, n_heads, factor, dropout) for _ in range(num_layers)])\n self.linear_out = nn.Linear(d_model, feature_size)\n\n def forward(self, x, mask=None):\n x = self.linear_in(x)\n for layer in self.layers:\n x = layer(x, mask)\n x = self.linear_out(x)\n return x[:, -self.pred_len:, :]\n\n# Load and Preprocess Dataset\ndef load_dataset():\n file_path = '/kaggle/input/g-research-crypto-forecasting/train.csv'\n df = pd.read_csv(file_path)\n df.fillna(method='ffill', inplace=True) # Handle missing values\n \n # Corrected column name 'Target'\n features = df.drop(columns=['Target']).values\n target = df['Target'].values\n\n scaler = StandardScaler()\n features = scaler.fit_transform(features)\n\n X_train, X_test, y_train, y_test = train_test_split(features, target, test_size=0.2, random_state=42)\n \n X_train = torch.tensor(X_train, dtype=torch.float32)\n y_train = torch.tensor(y_train, dtype=torch.float32).unsqueeze(-1)\n X_test = torch.tensor(X_test, dtype=torch.float32)\n y_test = torch.tensor(y_test, dtype=torch.float32).unsqueeze(-1)\n\n return X_train, X_test, y_train, y_test\n\n# Train the Informer Model\ndef train_model(model, X_train, y_train, X_test, y_test, epochs=50, batch_size=32, lr=0.001):\n optimizer = optim.Adam(model.parameters(), lr=lr)\n loss_fn = nn.MSELoss()\n\n for epoch in range(epochs):\n model.train()\n optimizer.zero_grad()\n y_pred = model(X_train)\n loss = loss_fn(y_pred.squeeze(), y_train)\n loss.backward()\n optimizer.step()\n\n if epoch % 10 == 0:\n model.eval()\n with torch.no_grad():\n y_test_pred = model(X_test)\n test_loss = loss_fn(y_test_pred.squeeze(), y_test)\n print(f\"Epoch {epoch}: Train Loss: {loss.item():.4f}, Test Loss: {test_loss.item():.4f}\")\n\n# Evaluate Model Accuracy\ndef evaluate_model(model, X_test, y_test):\n model.eval()\n with torch.no_grad():\n y_pred = model(X_test).squeeze().numpy()\n y_true = y_test.numpy()\n\n mae = mean_absolute_error(y_true, y_pred)\n rmse = np.sqrt(mean_squared_error(y_true, y_pred))\n r2 = r2_score(y_true, y_pred)\n\n print(f\"\\n📊 Model Evaluation:\\nMAE: {mae:.4f}\\nRMSE: {rmse:.4f}\\nR² Score: {r2:.4f}\")\n\n# Main Execution\nif __name__ == \"__main__\":\n X_train, X_test, y_train, y_test = load_dataset()\n\n informer = Informer(\n feature_size=X_train.shape[1], seq_len=10, pred_len=1,\n num_layers=2, d_model=64, n_heads=4, factor=5, dropout=0.1\n )\n\n train_model(informer, X_train, y_train, X_test, y_test)\n evaluate_model(informer, X_test, y_test)\n","metadata":{"papermill":{"duration":0.022857,"end_time":"2022-01-21T19:34:40.431357","exception":false,"start_time":"2022-01-21T19:34:40.4085","status":"completed"},"tags":[],"trusted":true,"execution":{"iopub.status.busy":"2025-03-11T14:47:15.112878Z","iopub.execute_input":"2025-03-11T14:47:15.113191Z","iopub.status.idle":"2025-03-11T14:47:44.504035Z","shell.execute_reply.started":"2025-03-11T14:47:15.113162Z","shell.execute_reply":"2025-03-11T14:47:44.503056Z"}},"outputs":[{"traceback":["\u001b[0;31m---------------------------------------------------------------------------\u001b[0m","\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)","\u001b[0;32m/tmp/ipykernel_17/1984452204.py\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 121\u001b[0m \u001b[0;31m# Main Execution\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 122\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0m__name__\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m\"__main__\"\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 123\u001b[0;31m \u001b[0mX_train\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mX_test\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my_train\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my_test\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mload_dataset\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 124\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 125\u001b[0m informer = Informer(\n","\u001b[0;32m/tmp/ipykernel_17/1984452204.py\u001b[0m in \u001b[0;36mload_dataset\u001b[0;34m()\u001b[0m\n\u001b[1;32m 75\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 76\u001b[0m \u001b[0mscaler\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mStandardScaler\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 77\u001b[0;31m \u001b[0mfeatures\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mscaler\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfit_transform\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfeatures\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 78\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 79\u001b[0m \u001b[0mX_train\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mX_test\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my_train\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my_test\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtrain_test_split\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfeatures\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtarget\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtest_size\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0.2\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrandom_state\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m42\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/opt/conda/lib/python3.7/site-packages/sklearn/base.py\u001b[0m in \u001b[0;36mfit_transform\u001b[0;34m(self, X, y, **fit_params)\u001b[0m\n\u001b[1;32m 688\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0my\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 689\u001b[0m \u001b[0;31m# fit method of arity 1 (unsupervised transformation)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 690\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfit\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mX\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mfit_params\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtransform\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mX\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 691\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 692\u001b[0m \u001b[0;31m# fit method of arity 2 (supervised transformation)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/opt/conda/lib/python3.7/site-packages/sklearn/preprocessing/_data.py\u001b[0m in \u001b[0;36mfit\u001b[0;34m(self, X, y)\u001b[0m\n\u001b[1;32m 665\u001b[0m \u001b[0;31m# Reset internal state before fitting\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 666\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_reset\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 667\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpartial_fit\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mX\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 668\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 669\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mpartial_fit\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mX\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/opt/conda/lib/python3.7/site-packages/sklearn/preprocessing/_data.py\u001b[0m in \u001b[0;36mpartial_fit\u001b[0;34m(self, X, y)\u001b[0m\n\u001b[1;32m 696\u001b[0m X = self._validate_data(X, accept_sparse=('csr', 'csc'),\n\u001b[1;32m 697\u001b[0m \u001b[0mestimator\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mFLOAT_DTYPES\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 698\u001b[0;31m force_all_finite='allow-nan')\n\u001b[0m\u001b[1;32m 699\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 700\u001b[0m \u001b[0;31m# Even in the case of `with_mean=False`, we update the mean anyway\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/opt/conda/lib/python3.7/site-packages/sklearn/base.py\u001b[0m in \u001b[0;36m_validate_data\u001b[0;34m(self, X, y, reset, validate_separately, **check_params)\u001b[0m\n\u001b[1;32m 418\u001b[0m \u001b[0;34mf\"requires y to be passed, but the target y is None.\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 419\u001b[0m )\n\u001b[0;32m--> 420\u001b[0;31m \u001b[0mX\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcheck_array\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mX\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mcheck_params\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 421\u001b[0m \u001b[0mout\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mX\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 422\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/opt/conda/lib/python3.7/site-packages/sklearn/utils/validation.py\u001b[0m in \u001b[0;36minner_f\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m 70\u001b[0m FutureWarning)\n\u001b[1;32m 71\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mupdate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m{\u001b[0m\u001b[0mk\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0marg\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mk\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0marg\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mzip\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msig\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mparameters\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0margs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 72\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 73\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0minner_f\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 74\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/opt/conda/lib/python3.7/site-packages/sklearn/utils/validation.py\u001b[0m in \u001b[0;36mcheck_array\u001b[0;34m(array, accept_sparse, accept_large_sparse, dtype, order, copy, force_all_finite, ensure_2d, allow_nd, ensure_min_samples, ensure_min_features, estimator)\u001b[0m\n\u001b[1;32m 643\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mforce_all_finite\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 644\u001b[0m _assert_all_finite(array,\n\u001b[0;32m--> 645\u001b[0;31m allow_nan=force_all_finite == 'allow-nan')\n\u001b[0m\u001b[1;32m 646\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 647\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mensure_min_samples\u001b[0m \u001b[0;34m>\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/opt/conda/lib/python3.7/site-packages/sklearn/utils/validation.py\u001b[0m in \u001b[0;36m_assert_all_finite\u001b[0;34m(X, allow_nan, msg_dtype)\u001b[0m\n\u001b[1;32m 97\u001b[0m \u001b[0mmsg_err\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mformat\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 98\u001b[0m (type_err,\n\u001b[0;32m---> 99\u001b[0;31m msg_dtype if msg_dtype is not None else X.dtype)\n\u001b[0m\u001b[1;32m 100\u001b[0m )\n\u001b[1;32m 101\u001b[0m \u001b[0;31m# for object dtype data, we only check for NaNs (GH-13254)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;31mValueError\u001b[0m: Input contains infinity or a value too large for dtype('float64')."],"ename":"ValueError","evalue":"Input contains infinity or a value too large for dtype('float64').","output_type":"error"}],"execution_count":33},{"cell_type":"code","source":"import numpy as np\nimport pandas as pd\nimport torch\nimport torch.nn as nn\nimport torch.optim as optim\nimport matplotlib.pyplot as plt\nimport seaborn as sns\nfrom hyperopt import fmin, tpe, hp, space_eval\nfrom sklearn.metrics import r2_score, mean_absolute_error, mean_squared_error\nfrom scipy.spatial import distance\nfrom informer_model import Informer # Assuming Informer model is implemented in informer_model.py\nimport gc\n\n# Set device\ndevice = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n\n# Function to get train and validation datasets\ndef get_train_test_data_from_02_to_05_month(df, scaler=False):\n train = df[df['month'].isin([2, 3, 4])]\n valid = df[df['month'] == 5]\n \n train_target = train['target_column']\n valid_target = valid['target_column']\n \n train = train.drop(columns=['target_column'])\n valid = valid.drop(columns=['target_column'])\n \n return train, train_target, valid, valid_target\n\n# Function to train the Informer model\ndef train_informer(train, train_target, valid, valid_target, num_epochs=50, lr=0.001, d_model=512):\n \"\"\"\n Train Informer on the given dataset.\n \"\"\"\n # Convert to tensors\n train_tensor = torch.tensor(train.values, dtype=torch.float32).to(device)\n train_target_tensor = torch.tensor(train_target.values, dtype=torch.float32).to(device)\n valid_tensor = torch.tensor(valid.values, dtype=torch.float32).to(device)\n valid_target_tensor = torch.tensor(valid_target.values, dtype=torch.float32).to(device)\n\n # Model initialization\n informer = Informer(\n enc_in=train.shape[1], # Number of input features\n dec_in=1, # Assuming univariate forecasting\n c_out=1,\n seq_len=24, # Window size\n label_len=12,\n out_len=12,\n d_model=d_model\n ).to(device)\n\n # Loss function and optimizer\n criterion = nn.MSELoss()\n optimizer = optim.Adam(informer.parameters(), lr=lr)\n\n # Training loop\n for epoch in range(num_epochs):\n informer.train()\n optimizer.zero_grad()\n \n outputs = informer(train_tensor.unsqueeze(0)) # Add batch dim\n loss = criterion(outputs.squeeze(), train_target_tensor)\n loss.backward()\n optimizer.step()\n\n if epoch % 10 == 0:\n print(f'Epoch {epoch}/{num_epochs}, Loss: {loss.item()}')\n\n return informer\n\n# Function to evaluate the model\ndef evaluate_model(model, valid, valid_target):\n model.eval()\n \n valid_tensor = torch.tensor(valid.values, dtype=torch.float32).to(device)\n with torch.no_grad():\n predictions = model(valid_tensor.unsqueeze(0)).squeeze().cpu().numpy()\n \n r2 = r2_score(valid_target, predictions)\n mae = mean_absolute_error(valid_target, predictions)\n mse = mean_squared_error(valid_target, predictions)\n rmse = np.sqrt(mse)\n cos_dist = 1 - distance.cosine(valid_target, predictions)\n \n return {'r2_score': r2, 'mae': mae, 'mse': mse, 'rmse': rmse, 'cos_dist': cos_dist}, predictions\n\n# Function to plot feature importance (Attention Scores)\ndef plot_feature_importance(model, X, name_model, acc, fig_size=(15, 10)):\n \"\"\"\n Extracts and plots feature importance from Informer's attention weights.\n \"\"\"\n # Assume Informer model allows extraction of attention scores\n feature_importance = np.random.rand(X.shape[1]) # Replace with actual attention scores extraction logic\n\n feature_imp = pd.DataFrame({'Feature': X.columns, 'Value': feature_importance})\n feature_imp = feature_imp.sort_values(by=\"Value\", ascending=False)\n\n plt.figure(figsize=fig_size)\n sns.barplot(x=\"Value\", y=\"Feature\", data=feature_imp[:30]) # Top 30 features\n plt.title(f'{name_model} Feature Importance')\n plt.tight_layout()\n plt.show()\n\n return feature_imp\n\n# Main script\nif __name__ == \"__main__\":\n # Load dataset\n df_train = pd.read_csv('your_data.csv')\n\n # Get train and validation sets\n train, train_target, valid, valid_target = get_train_test_data_from_02_to_05_month(df_train)\n\n # Initialize results DataFrame\n res = pd.DataFrame(columns=['asset_name', 'num_train', 'num_valid', 'r2_score', 'mae', 'mse', 'rmse', 'corr', 'cos_dist'])\n\n # Train Informer model\n model = train_informer(train, train_target, valid, valid_target)\n\n # Evaluate model\n scores, predictions = evaluate_model(model, valid, valid_target)\n \n # Store results\n res.loc[0] = ['YourAsset', len(train), len(valid), scores['r2_score'], scores['mae'], scores['mse'], scores['rmse'], 0, scores['cos_dist']]\n \n # Plot Feature Importance\n feature_imp = plot_feature_importance(model, train, 'Informer', scores['cos_dist'])\n \n # Select Top Features\n selected_features = feature_imp[feature_imp.Value > 0].Feature[:100].to_list()\n print(f'Selected features: {selected_features}')\n\n # Save results\n res.to_csv('informer_results.csv', index=False)\n\n # Garbage collection\n gc.collect()\n","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-03-11T14:19:59.919075Z","iopub.status.idle":"2025-03-11T14:19:59.919716Z","shell.execute_reply.started":"2025-03-11T14:19:59.919477Z","shell.execute_reply":"2025-03-11T14:19:59.919503Z"}},"outputs":[],"execution_count":null}]}