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Thirty-seven opt-in household purchase propensity indicators covering approximately 36.1 million individuals in the United States.
Provides twelve opt-in indicators related to tort actions and legal intent spanning around 11.7 million individuals in the United States.
Normalized stock-trade disclosures filed by U.S. House and Senate members under the STOCK Act, regenerated on a schedule by the repository's own pipeline rather than curated manually.
ZipLime US Insider Trading Disclosures (PIT) [!CAUTION] Use knowledge_date, not transaction_date, when backtesting. transaction_date says when a trade occurred; knowledge_date says when the filing became observable through EDGAR. Using the former as the signal date introduces look-ahead bias. visible = trades.filter(pl.col("knowledge_date") <= simulation_time) This dataset normalizes corporate-ins
US Short Interest This dataset publishes no short-interest data, and that is the finding, not a bug. Every US source of equity short positioning was audited on 13 September 2026 before any of it was collected. Two forbid the publication pattern and the third does not exist yet. What is published here is the audit itself — which clause, on which page, read on which day — plus the adapters that will
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