---
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.