Risk Scale
0–39 Low 40–69 Moderate 70–100 High
| Scores measure political risk exposure from market signals, policy actions, and insider activity. Hover any ⓘ for details.

Which companies are politically risky right now?

MRDN watches government, market, and insider activity 24/7 and gives every public company a risk score from 0 (calm) to 100 (on fire). Use the heatmap to spot which sectors are heating up, the rankings to find the most exposed companies, and the events feed to see what's actually driving the score changes. Click anything for details.

Events / 24h
Companies Scored
/
tracked universe
Activity Mix (24h)
No activity in the last 24 hours

Sector Risk Heatmap

How risky each industry looks right now. Greener = safer, redder = more political exposure. Numbers are 0–100.

Low
High

Top Movers (24h)

Companies whose risk score changed the most today. Red number = risk got worse. Green = risk improved.

No score data yet — run ingestion first

Congress Trade Activity — Day × Month

When Congress actually trades. Rows = day of week, columns = calendar month. Darker = more trades. Pure count of congressional_trades.traded_at.

Latest Events

Live feed of things happening right now: politicians trading stocks, governments handing out contracts, sanctions, lawsuits, big stock moves. The colored dot shows the type.

No events yet

Score Rankings

The most politically-exposed companies right now. Higher number = more risk. Click any row to drill in.

No scores computed yet

Data Source Status

Where the data comes from. Green = working. Yellow = data is getting old. Red = something broke.

Who's the most politically exposed right now?

Every public company, ranked by risk score (0 = calm, 100 = on fire). Switch the dropdown to sort by sub-score: Market (price/volume action), Policy (government activity), or Insider (congressional trades + executive moves). Click any row to see what's driving the number.

All Company Rankings

# Ticker Name Sector Market Policy Insider Composite
No scores computed yet — run ingestion to generate data

Browse every company we track

The full universe of public companies MRDN monitors. Filter by sector to narrow it down, then click a card to see that company's score history, recent events, and political connections.

Companies

Everything MRDN knows about this company: current risk score and how it broke down (Market / Policy / Insider), score history over time, recent events that moved the number, and the political figures connected to it. Use this to understand why a company is hot — not just that it is.

Score History

Timeline

No activity yet

Entity Connections

Who's moving markets from inside government?

A curated watchlist of politicians whose votes, committee seats, and personal stock trades move markets. Once trade disclosures are ingested, the cards below will show trade counts and the companies each person has been touching — and the order will reflect real activity, not seniority.

⚠
No trading disclosures ingested yet
The persons table is seeded with high-profile figures, but no congressional trades, committee assignments, or external IDs have been loaded. Until then, this page is just a roster — sorting by "influence" is meaningless because every score is zero. Run an EFDS / House PTR ingester to bring it to life.
go run ./cmd/mrdn ingest-efds

Political Figures

No persons data — run EFDS ingestion

What does the data actually say?

Three signals derived directly from real House Clerk PTR filings — no inference, no prediction, no fabrication. Pick a tab: who's breaking the law on disclosure timing, when reps cluster on the same ticker in the same week, and which stocks split or unite the parties.

Federal law requires members of Congress to disclose covered stock transactions within 45 days of the trade. Every row is the gap between when the trade happened and when it was actually filed — pure subtraction, no estimation.
Trades scored
Median latency
days
Filed late (>45d)
%
trades
Worst single trade
days late

Worst offenders

≥10 disclosed trades, sorted by median latency
No latency data — run go run ./cmd/mrdn ingest-house-trades
# Representative Trades Median P90 % late Worst Worst ticker
Source: House Clerk Periodic Transaction Reports. Latency = days between transaction date and filing date. The 45-day threshold comes from the STOCK Act of 2012 (Pub. L. 112-105). Trades missing either date are excluded.
A swarm is when ≥4 distinct representatives traded the same ticker in the same calendar week. Bucketed by ISO week, ordered most-recent first. This is one of the few times you can watch politicians visibly converging on a single stock.
No swarms found
Week of Ticker Reps Trades Buys Sells R / D Who
Buckets are ISO calendar weeks. A "rep" is a unique person_id; a "trade" is a row in congressional_trades. Tickers like "--" or empty are excluded.
For each ticker bought by ≥4 representatives, who got there first? The follower lag is computed in days from the first congressional buy. This is chronology, not causation — but it's the closest you can get to "who tipped off whom" using public disclosures alone.
No first-mover data
Fast flips — purchases sold within a short window. Each row pairs a buy with the very next sale of the same ticker by the same rep. No inference of intent — just the calendar gap and the disclosed dollar amounts. Short holds with large dollars are the ones worth reading twice.
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Representative Ticker Held Bought Sold Buy $ Sell $
Showing buys ≥ $15K with the next sale within 60 days. Buy/sell dollar amounts are midpoints of the disclosed STOCK Act ranges — actual amounts may be higher or lower within the disclosed bracket.
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Which stocks does Congress actually trade?

Every public company touched by a House Clerk PTR filing, ranked by how many distinct representatives have bought or sold it. Click any ticker to see who, when, and how much. Bipartisan crowd-favorites at the top.

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Ticker Sector Reps Trades Buy $ Sell $ R buyers D buyers Last trade
Buy/sell dollar amounts are midpoints of the disclosed STOCK Act ranges. R/D columns count distinct buyers per party — Independents and unflagged reps are excluded from those columns only.
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Is the data fresh, stale, or broken?

Every ingestion source MRDN runs — recency, latency, HTTP error codes, and last-error details. Down or degraded sources show in red; stale sources in yellow. Individual dashboard cards also reflect their own freshness.

Ingestion Sources

Loading trades…
No trades in this bucket.
Traded Rep Ticker Side Amount Filed
Ticker Name Subsector