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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.
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