QuantCapitol. Congressional Trading Intelligence

Updated 2026-11-05 00:32 UTC · Public disclosure record

About See what Congress is trading — and what actually matters

We help you watch Congress — not copy it.

Hundreds of members of Congress file thousands of stock trades a year. Most are noise. We rank every one so the trades that matter — the big, the unusual, the ones where a member trades in the very industry they regulate — rise to the top in seconds. No wading through a database. No hype. Just a clear read on where the interesting money is moving on Capitol Hill.

Find the signal in seconds, not hours

Every trade gets an Interest Score — a transparent, weighted read on how large and unusual the trade is, whether it's part of a bipartisan buying cluster, and whether the member sits on a committee that oversees the sector. Instead of scrolling thousands of routine filings, you see the handful worth your attention immediately, each with a plain-language breakdown of why it stands out. That's the difference between a database and an analyst.

Built to be trusted, not to flatter

Plenty of sites imply that copying Congress makes you rich. We looked hard at that claim — on our own data — and we're straight with you: a high Interest Score means a trade is noteworthy, not that it will beat the market. That honesty is the point. When you're deciding what's worth your time, you want a tool that surfaces what's genuinely interesting and tells you the truth about what it means — not one that sells you a fantasy. That's the edge here: signal you can rely on, because we're honest about the difference between signal and noise.

The score is ex-ante — no hindsight

The ranking uses only what was knowable at filing time. It never folds in what the price did afterwards — that would be look-ahead bias, ranking a trade as "interesting" partly because we already know it worked out. Keeping the score honest this way is what lets us test it fairly, and it's why you can trust that the ranking reflects genuine signal, not a rigged backtest. The full evidence is on the "Does it work?" page — including the parts that aren't flattering.

We show our data quality, warts and all

Around 99% of tradable stocks resolve to a ticker; bonds and funds correctly have none. Impossible dates in the source filings are flagged, not hidden. Valuation multiples come straight from SEC financials. All of it — including the gaps — is on the Data Quality page.

Where the data comes from

Trades are from the official US House Clerk and Senate eFD financial disclosures. Sectors are derived from SEC SIC classifications; valuation from SEC-reported financials; legislation from the Congress.gov API. Every trade links to its original filing, so you can always check the source yourself.

Who's behind QuantCapitol

QuantCapitol is built and maintained by an independent developer who grew tired of congressional-trading sites selling a "copy Congress, get rich" fantasy. The aim here is the opposite: a rigorous, fully-sourced, transparency-first read on what Congress discloses — with the methodology and the misses out in the open. Every figure traces back to an official filing, and the ranking is tested against chance on our own data. Questions, data corrections or press enquiries are welcome — get in touch.

Corrections policy

Disclosure data is messy, and we'd rather be corrected than wrong. If you spot an error — a misattributed trade, a bad ticker match, a wrong figure — tell us and we'll fix it and note the change. Accuracy over ego.

What this is not

  • Not investment advice. Nothing here is a recommendation to buy or sell.
  • Not an insider-trading detector. A trade near related legislation is a timing coincidence we surface — never an accusation of intent.
  • Not real-time. Disclosures lag the trade by up to 45 days and report dollar ranges, not exact amounts.
  • Not affiliated with the US government or any political party.
About this data. Sourced from official House Clerk and Senate eFD financial disclosures (Senate via a maintained community mirror — see project documentation). Transaction amounts are reported as ranges, not exact figures. Interest scores, consensus labels, and backtested performance are proprietary analytical calculations based on public data and are not investment advice. Backtested performance is a hypothetical simulation, not actual portfolio performance.