Datasetpublic

Chainticks/cftc-cot

Chainticks CFTC COT Normalized CFTC Commitments of Traders legacy futures rows from public-domain CFTC archives. 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… See the full description on the dataset page: https://huggingface.co/datasets/Chainticks/cftc-cot.

sourceHugging Facecc-by-4.0updated 1h agoView on Hugging Face

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Dataset Card

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.