| license: cc-by-4.0 | |
| pretty_name: Chainticks CFTC COT | |
| tags: | |
| - finance | |
| - crypto | |
| - parquet | |
| - duckdb | |
| - pandas | |
| - polars | |
| - agent-friendly | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: train | |
| path: legacy_futures/date=*/part-*.parquet | |
| # Chainticks CFTC COT | |
| Normalized CFTC Commitments of Traders legacy futures rows from public-domain CFTC archives. | |
| ```python | |
| import pandas as pd | |
| DATE = "YYYY-MM-DD" | |
| URL = "https://huggingface.co/datasets/Chainticks/cftc-cot/resolve/main/legacy_futures/date={DATE}/part-0000.parquet" | |
| df = pd.read_parquet(URL) | |
| print(df.head()) | |
| ``` | |
| ## Layout | |
| ``` | |
| legacy_futures/date=YYYY-MM-DD/part-0000.parquet | |
| _schema.json | |
| _manifest.json | |
| LATEST_DATE.txt | |
| ``` | |
| ## Provenance | |
| Rows must have `source_kind` in `['public_domain']`. Chainticks does not publish venue REST/API resale data in this dataset. | |
| ## Agent Prompt Snippet | |
| Use this dataset as append-only market context. Read `LATEST_DATE.txt`, inspect `_schema.json`, then load the relevant Parquet partition. Treat timestamps as UTC and preserve `source_kind` in downstream analysis. | |
| ## Affiliation | |
| Chainticks is independent and is not affiliated with the protocols, relays, venues, or government agencies represented by the data. | |