{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.11.11","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"},"kaggle":{"accelerator":"none","dataSources":[{"sourceId":96164,"databundleVersionId":11418275,"sourceType":"competition"},{"sourceId":12310525,"sourceType":"datasetVersion","datasetId":7713513},{"sourceId":12310898,"sourceType":"datasetVersion","datasetId":7714506}],"dockerImageVersionId":31040,"isInternetEnabled":true,"language":"python","sourceType":"notebook","isGpuEnabled":false}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"markdown","source":"Tida.ensemble of public solution:\n\n  \n\n- 0.12092 - v.01 - [DRW Competition | End-to-End Notebook](https://www.kaggle.com/code/battleninza/drw-competition-end-to-end-notebook/notebook) - [ABHAY SINGH](https://www.kaggle.com/battleninza)\n- 0.11914 - v.06 - [DRW - Crypto d75cea](https://www.kaggle.com/code/jasonzhang2022/drw-crypto-d75cea/notebook) - [jason](https://www.kaggle.com/jasonzhang2022)\n- 0.11893 - v.03 - [DRW_2](https://www.kaggle.com/code/rozzzz/drw-2/output?scriptVersionId=245591154) - [ROZZZZ](https://www.kaggle.com/rozzzz)\n- 0.11756 - v.14 - [DRW Competition Submission](https://www.kaggle.com/code/rosswade/drw-competition-submission/notebook?scriptVersionId=245352571) - [Ross Wade](https://www.kaggle.com/rosswade)\n\n22-june-2025 - LB = [0.12206](https://www.kaggle.com/code/nina2025/drw-crypto-market-prediction-tida/)\n\n  \n\n- 0.12252 - v.01 - [Low Signal to Noise](https://www.kaggle.com/code/taylorsamarel/low-signal-to-noise) - [Taylor S. Amarel](https://www.kaggle.com/taylorsamarel)\n- 0.11914 - v.06 - [DRW - Crypto d75cea](https://www.kaggle.com/code/jasonzhang2022/drw-crypto-d75cea/notebook) - [jason](https://www.kaggle.com/jasonzhang2022)\n- 0.11893 - v.03 - [DRW_2](https://www.kaggle.com/code/rozzzz/drw-2/output?scriptVersionId=245591154) - [ROZZZZ](https://www.kaggle.com/rozzzz)\n- 0.11756 - v.14 - [DRW Competition Submission](https://www.kaggle.com/code/rosswade/drw-competition-submission/notebook?scriptVersionId=245352571) - [Ross Wade](https://www.kaggle.com/rosswade)\n\n\n23-june-2025 - LB = [0.12327](https://www.kaggle.com/code/nina2025/drw-crypto-market-prediction-tida/)\n\n \n\n- 0.12307 - v.02 - [DRW Remix VI + Fourth Time Slice](https://www.kaggle.com/code/migrantworkerdatahub/drw-remix-vi-fourth-time-slice) - [Migrant Worker Data Hub](https://www.kaggle.com/migrantworkerdatahub)\n- 0.12280 - v.06 - [DRW Remix VI](https://www.kaggle.com/code/bakuer30/drw-remix-vi) - [Bakuer30](https://www.kaggle.com/bakuer30)\n- 0.12252 - v.01 - [Low Signal to Noise](https://www.kaggle.com/code/taylorsamarel/low-signal-to-noise) - [Taylor S. Amarel](https://www.kaggle.com/taylorsamarel)\n- 0.12154 - v.24 - [DRW Competition Submission](https://www.kaggle.com/code/rosswade/drw-competition-submission) - [Ross Wade](https://www.kaggle.com/rosswade)\n\n27-june-2025 - LB = [0.12407](https://www.kaggle.com/code/nina2025/drw-crypto-market-prediction-tida/)\n\n \n\n- 0.12419 - v.03 - [DRW Remix VI + Fourth Time Slice](https://www.kaggle.com/code/migrantworkerdatahub/drw-remix-vi-fourth-time-slice) - [Migrant Worker Data Hub](https://www.kaggle.com/migrantworkerdatahub)\n- 0.12307 - v.02 - [DRW Remix VI + Fourth Time Slice](https://www.kaggle.com/code/migrantworkerdatahub/drw-remix-vi-fourth-time-slice) - [Migrant Worker Data Hub](https://www.kaggle.com/migrantworkerdatahub)\n- 0.12280 - v.06 - [DRW Remix VI](https://www.kaggle.com/code/bakuer30/drw-remix-vi) - [Bakuer30](https://www.kaggle.com/bakuer30)\n- 0.12252 - v.01 - [Low Signal to Noise](https://www.kaggle.com/code/taylorsamarel/low-signal-to-noise) - [Taylor S. Amarel](https://www.kaggle.com/taylorsamarel)\n\n28-june-2025 - LB = [0.12470](https://www.kaggle.com/code/nina2025/drw-crypto-market-prediction-tida/)","metadata":{}},{"cell_type":"code","source":"import pandas as pd\n\nds ='/kaggle/input/drw-quatro-4'\n\n%run /kaggle/input/drw-quatro-t/_Tida.py","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-06-28T11:36:59.409335Z","iopub.execute_input":"2025-06-28T11:36:59.409720Z","iopub.status.idle":"2025-06-28T11:36:59.431026Z","shell.execute_reply.started":"2025-06-28T11:36:59.409694Z","shell.execute_reply":"2025-06-28T11:36:59.430216Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"file_short_names = ['0.12_092','0.11_914','0.11_893','0.11_756']  # Lb=0.12_206\nfile_short_names = ['0.12_252','0.11_914','0.11_893','0.11_756']  # Lb=0.12_327\nfile_short_names = ['0.12_307','0.12_280','0.12_252','0.12_154']  # Lb=0.12_407\nfile_short_names = ['0.12_419','0.12_307','0.12_280','0.12_252']  # Lb=0.12_470","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-06-28T11:37:03.091219Z","iopub.execute_input":"2025-06-28T11:37:03.091537Z","iopub.status.idle":"2025-06-28T11:37:03.096554Z","shell.execute_reply.started":"2025-06-28T11:37:03.091516Z","shell.execute_reply":"2025-06-28T11:37:03.095656Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"df = _Tida ( ds, file_short_names )\n\ndf.to_csv('submission.csv', index=False)\n\ndisplay(df)","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-06-28T11:37:07.859238Z","iopub.execute_input":"2025-06-28T11:37:07.859552Z","iopub.status.idle":"2025-06-28T11:37:48.539604Z","shell.execute_reply.started":"2025-06-28T11:37:07.859529Z","shell.execute_reply":"2025-06-28T11:37:48.538767Z"}},"outputs":[],"execution_count":null}]}