US Congress Trading Monitor: House Member Trade Signals

Recent stock trades by US House members from the official House Clerk disclosures: parsed transactions, buys vs sells, estimated size and tickers, scored by size and recency.

Official public source Updated & monitored daily Every result links to its filing Pay per result · free previews

See what members of the US House are trading, parsed, scored and ranked. Provide one or more House member last names and get their recent stock trades from the official House Clerk disclosures: each transaction with ticker, buy or sell, estimated size and date, plus buys-vs-sells and an estimated total per member. A curated trading signal, not a raw PDF dump.

Run it on Apify

What it does

  • Parsed transactions: ticker, buy/sell, estimated amount range and date, straight from the official PTR.
  • Buys vs sells: the member's recent net direction.
  • Estimated value: midpoint of each disclosed amount range, summed per member.
  • Impact score 0-100 from trade size plus recency.
  • Reads the official US House Clerk source, not a scraped aggregator.

Who uses congressional trading data

  • Traders and retail quants tracking political trading as a signal.
  • Fintech and research apps embedding congressional-trade data.
  • Journalists and researchers monitoring disclosures without parsing PDFs.

How it works

The tool reads the official US House Clerk financial-disclosure feed (free, public, no key), filters to each member's recent Periodic Transaction Reports, and parses the trades from the e-filed PDFs. Clean and official.

Example

One real record from the live feed, refreshed daily. This is the exact JSON the API and the MCP tools return for every trade:

{
  "member": "Gilbert Cisneros",
  "ticker": "MSFT",
  "tx_type": "Sale",
  "tx_date": "06/02/2026",
  "amount_low": 500001,
  "amount_high": 1000000,
  "impact": 95,
  "filing_date": "2026-07-02",
  "pdf_url": "https://disclosures-clerk.house.gov/public_disc/ptr-pdfs/2026/20034906.pdf"
}

Every field is parsed straight from the official House Clerk filing linked in pdf_url. The impact score (0–100) ranks how market-moving a trade is, so an agent or a spreadsheet can sort it or set a threshold on it. All 176 scored trades in the current window share this shape.

Scope and limitation

US House only. The Senate eFD portal blocks automated access and prohibits commercial use, so it is intentionally excluded. Only e-filed (digital) reports are machine-readable; older scanned paper filings are skipped (no OCR).

FAQ

Where does the data come from?

The official US House Clerk financial-disclosure feed, published under the STOCK Act.

Why only the House?

The Senate portal is anti-bot protected and its terms prohibit commercial use.

Is this investment advice?

No. It is data for research and monitoring.

Use with AI agents and automation

This runs as an Apify Actor, so it drops into your stack with no scraping or glue code: - AI agents and LLMs: call it as a live tool from LangChain, LlamaIndex or Flowise, or over MCP. - No-code automation: wire it to Zapier or Make (new disclosed trade -> Slack, Google Sheets or alert). - Webhooks and pipelines: fire a webhook on each run, or chain it into another DataSignals Lab product. - API and schedule: JSON output, on demand or on a daily schedule.

Related