When Congress and the Cabinet Buy the Same Stock

The problem with raw disclosure data

The STOCK Act created a public record. It did not create a signal. Since 2012, members of Congress have been required to disclose personal trades within 45 days — and the result is a database of over 32,000 transactions that every congressional trading tool displays with the same interface: a table, sorted by date, with no ranking.

A member buying $1,000 of an S&P 500 ETF and a member buying $500,000 of a defense contractor they oversee appear on the same row with the same visual weight. One is portfolio noise. The other might be the most significant trade in the dataset that quarter.

The question every serious user of congressional trading data eventually asks is: which trades actually matter? The answer requires corroboration — independent evidence that a trade is meaningful rather than routine.

The corroboration stack

Signal Congress cross-references each congressional trade against seven independent federal data sources. Each source answers a different question about the same trade from a different institutional angle.

Each badge is a separate federal data source with its own disclosure requirements and filing timelines. When multiple badges fire on the same trade, they are independent confirmations — not the same signal counted twice.

The convergence signal — what it is and why it is different

Beyond the badge stack sits a different kind of signal: executive convergence. This fires when a Senate-confirmed cabinet official holds the same ticker as a congressional trader, within a 365-day lookback window.

Cabinet officials file OGE 278-T public financial disclosures within 30 days of any transaction. Signal Congress ingests these for 34 Senate-confirmed officials across 3,332 tracked transactions. When a cabinet holding overlaps with an active congressional trade in the same ticker, the signal crosses branches.

As of May 2026, Signal Congress has identified 66 active executive convergence signals across the congressional trade database — trades where a current congressional position overlaps with a confirmed cabinet holding in the same ticker. These represent less than 0.2% of all disclosed trades, but they are the ones that warrant the closest examination.

How to read a convergence signal

On the Signal Congress ticker page, executive convergence appears as a ⚡ badge alongside the trade. Clicking into the ticker surfaces the Executive Intelligence panel, which shows:

The strongest convergence setups combine the ⚡ signal with additional corroboration badges. A congressional purchase with ⚡ convergence, a CONTRACT badge, and an INSIDER badge means a congressional member, a cabinet official, and the company's own C-suite are all positioned in the same direction — three independent informed actors, three separate federal disclosure systems, one stock.

What the data shows at the portfolio level

Across 984 tickers with cabinet holdings in the current dataset, the sectors with the highest convergence density are defense and aerospace, financial services, and healthcare — which maps precisely to the committees with the most active trading members: Armed Services, Banking, and Health.

This is not a coincidence. It is the structural logic of the signal. Members trade in sectors they legislate. Cabinet officials hold assets in industries their agencies regulate. The overlap is highest where both institutional knowledge and regulatory power concentrate.

What comes next: anomaly scoring

Convergence is one dimension of a more complete intelligence model currently in development. The next layer is behavioral anomaly scoring — comparing each trade not just against external corroboration sources, but against the member's own trading history.

A member who has never traded defense stocks suddenly buying a defense contractor two weeks before a classified Armed Services Committee hearing is a different kind of signal than a perennial tech investor adding to a position they have held for years. The corroboration stack tells you what is true about a trade. The anomaly score will tell you whether it is out of character.

Combined with the legislative calendar — committee meeting dates, markup schedules, hearing timelines — the result is a scoring model that surfaces not just corroborated trades, but statistically improbable ones. That is the intelligence layer that makes the feed self-curating.

The foundation

Every signal in Signal Congress — every badge, every convergence flag, every conviction score — is derived from a public government filing. The STOCK Act disclosures, the OGE 278-T forms, the LDA lobbying reports, the FEC contribution records, the Federal Register rulebooks, the SEC EDGAR Form 4 filings, the SAM.gov solicitation database: all public, all federal, all machine-readable.

The product surfaces what the disclosures contain. What you do with that information is your decision to make.

Signal Congress aggregates and displays publicly available government disclosure data. Nothing on this site constitutes investment advice. All signals are derived from federal public records. Convergence signals indicate information proximity, not evidence of illegal activity.