Compare daily buy and sell flow
Review dated buy and sell observations for a sector with premium and volume context to identify periods worth investigating.
Pineify Finance Agent aggregates reported insider activity for a market sector into dated buy and sell observations, with premium, volume, transaction count, and unique-insider context. Use the series to discover sector-level patterns and choose companies or filings for deeper research, while remembering that aggregated flow is not a forecast or proof of insider intent.
Opens Finance Agent with a sector insider-flow research question ready to send.

A dated aggregate of disclosed insider activity
Looking at one company at a time can hide a broader pattern. Finance Agent groups reported insider activity by sector and date so you can see whether buying or selling was concentrated, how many transactions contributed, and how many unique insiders were involved.
An aggregate is a discovery layer, not a verdict. Sector classifications, reported transaction types, premium calculations, and missing prices can affect the series, so trace an interesting day back to the underlying companies and filings.
Use cases
Review dated buy and sell observations for a sector with premium and volume context to identify periods worth investigating.
See transaction counts and unique-insider counts together so a large total is not mistaken for one person’s single trade.
Use a notable sector day to select companies, roles, transaction types, and source filings for company-level follow-up.
Prompt examples
FAQ
Use unusual sector buying or selling as a lead, then inspect the underlying companies, original filings, transaction types, and market context.
Open Finance AgentFor informational and research use only. No output is investment advice or a guarantee of future performance.