QuantCapitol. Congressional Trading Intelligence

Updated 2026-11-05 08:16 UTC · Public disclosure record

Guide

Does following Congress beat the market?

“Copy Congress and beat the S&P” is a popular pitch. We tested the idea on our own data and here is the straight answer — including the parts that aren't flattering.

Last reviewed 2026-10-14 · 7 min read

The short answer

For the ordinary person reading disclosures and trying to copy them, there is no reliable market-beating edge. A handful of members post eye-catching years, and those get screenshotted and sold as proof. But the aggregate picture — once you account for how the disclosures actually reach you — is far more sober. We say this plainly because it is what our own data shows, and because the opposite claim is usually a sales pitch.

Three reasons the "copy Congress" pitch overstates the case

1. The disclosure lag

Under the STOCK Act, a trade can be disclosed up to 45 days after it happens. By the time you read it, any information advantage has had weeks to be priced in. A backtest that assumes you bought on the trade date is fiction; a realistic one buys on the disclosure date, and the difference is often where the supposed edge disappears.

2. The range problem

Amounts are reported in broad ranges, never exact figures. You cannot know how large a position is relative to a member's wealth, so you cannot size your own trade to match. "They bought $1,001–$15,000" and "they bought $1,000,001–$5,000,000" are very different convictions that a copier flattens into the same signal.

3. Selection and survivorship

The viral "beat the S&P by +150%" numbers almost always come from cherry-picking a member or a window after the fact, with no risk adjustment and no accounting for the lag. Pick the best performer in hindsight and anything looks like genius. That is marketing, not evidence.

What our own analysis shows

Rather than assert this, we test it in the open. Our "Does it work?" analysis checks whether our own Interest Score — our best read of which trades are notable — actually predicts returns. It does not, in any dependable way. Our null-model work goes further and asks whether the patterns we see beat what you'd expect from pure chance, and reports the answer even when it's unflattering. And our scorecard grades our own flagged trades in public — hits and misses both.

This is the opposite of how most trackers operate, and it's deliberate. A tool you can trust has to be willing to show you when its signal is just noise.

So what is the data actually good for?

Accountability, not alpha. The real value of congressional trading disclosures is that they let the public see whether the people writing the rules are trading in the industries they regulate, whether they disclose on time, and where their financial interests sit. That is a civic question, and a genuinely important one — it just isn't a get-rich scheme.

So read the data to watch Congress, not to copy it. And when a site promises the latter, treat the promise itself as the first red flag.

None of this is investment advice. Interest scores, consensus labels and any backtested figures are analytical calculations on public data, not recommendations, and backtested performance is a hypothetical simulation, not actual returns.

Frequently asked

Have some members of Congress beaten the market?

In individual years, yes — and those cases get a lot of attention. But singling out the best performer in hindsight is not evidence that following Congress works on average. Once you account for the disclosure lag and position sizing you can't see, the aggregate edge for a copier is not reliable.

Why does the disclosure lag matter so much?

Trades can be reported up to 45 days after they happen. Any informational advantage has weeks to be priced into the stock before you can act, so a realistic strategy that buys on the disclosure date captures far less than a hypothetical one that buys on the trade date.

Is this site telling me which trades to copy?

No. We rank trades by how much scrutiny they deserve — size, rarity, clustering, oversight overlap — and we're explicit that a high score means a trade is notable, not profitable. The goal is transparency and accountability, not investment signals.

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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.