Datasets:
funding_a float64 | funding_b float64 | mark_price_a float64 | mark_price_b float64 | schema_version int64 | source_kind string | spread_bps float64 | symbol string | timestamp string | venue_a string | venue_b string |
|---|---|---|---|---|---|---|---|---|---|---|
0.0002 | -0.0001 | 100,000 | 99,950 | 1 | derived | 3 | BTC | 2026-05-10T00:00:00Z | binance | hyperliquid |
Chainticks Funding Divergence
Derived cross-venue funding-rate divergence rows built only from publishable inputs.
Current Scope
- Coverage: Derived funding-rate spread rows from publishable source inputs.
- Best for: Funding spread scouting, carry hypothesis generation, and agent-readable examples of derived cross-venue features.
- Cadence: append-only partitions, normally refreshed by the Chainticks nightly publisher.
- Timestamps: UTC ISO-8601 strings when available. Null timestamp fields mean the source event did not include a timestamp at collection time.
import pandas as pd
DATE = "YYYY-MM-DD"
URL = "https://huggingface.co/datasets/Chainticks/funding-divergence/resolve/main/spreads/date={DATE}/part-0000.parquet"
df = pd.read_parquet(URL)
print(df.head())
Layout
spreads/date=YYYY-MM-DD/part-0000.parquet
_schema.json
_manifest.json
LATEST_DATE.txt
Provenance
Rows must have source_kind in ['derived']. Chainticks does not publish venue REST/API resale data in this dataset.
Known Limitations
This feed is optional and currently sparse. Treat it as a derived signal sample until more venues and rows are published.
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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