Developer API

Politician stock trades API

Pull STOCK Act disclosure data, aggregate trends, and rules-based insights into your own dashboards, alerts, and research tools — the same datasets we use to power Politician Stock Tracker.

STOCK Act filingsHouse · Senate · OGEPre-computed metricsRules-based insightsPerformance vs SPY

Hot stocks

Most-bought stocks

Last 90 days

stocks

NVDA12 buys

MSFT9 buys

AAPL7 buys

Recent trades

Latest disclosures

Pelosi

$1M – $5M

Buy

Whitehouse

$100K – $250K

Buy

Planned base URL

https://api.politicianstocktracker.com/v1

Authentication

API keys via Authorization: Bearer. JSON responses, cursor pagination, rate limits TBD.

Quick start

curl -H "Authorization: Bearer YOUR_API_KEY" \
  "https://api.politicianstocktracker.com/v1/trades?limit=10&ticker=NVDA"

Trades

Recent and historical stock trades

Stream politician stock buys and sells as they are indexed from official filings. Filter by politician, ticker, chamber, party, or disclosure date — the raw transaction layer behind every card on our site.

GET/v1/trades

Paginated list of recent stock trades across all politicians. Returns transaction type, ticker, amount range, trade date, and filing date.

Query parameters

limit — max results (default 50, max 200)
cursor — pagination token
ticker — filter by symbol (e.g. NVDA)
type — buy | sell
chamber — house | senate | oge
since — ISO date (disclosure filed after)

Example response

{
  "data": [
    {
      "id": "tx_8f2a1b",
      "politicianId": "P000197",
      "politicianName": "Nancy Pelosi",
      "politicianSlug": "nancy-pelosi",
      "ticker": "NVDA",
      "type": "buy",
      "amountRange": "$1,000,001 - $5,000,000",
      "transactionDate": "2026-06-20",
      "filingDate": "2026-07-03",
      "chamber": "house"
    }
  ],
  "meta": { "cursor": "eyJpZCI6...", "hasMore": true }
}

GET/v1/politicians/{id}/trades

Full trade history for one politician — buys, sells, amount ranges, and disclosure dates. Powers profile timelines and trade tables.

Query parameters

limit, cursor — pagination
ticker — optional symbol filter
type — buy | sell

Example response

{
  "politicianId": "P000197",
  "tradeCount": 248,
  "data": [
    {
      "id": "tx_8f2a1b",
      "ticker": "NVDA",
      "type": "buy",
      "amountRange": "$1,000,001 - $5,000,000",
      "transactionDate": "2026-06-20",
      "filingDate": "2026-07-03"
    }
  ]
}

What you could render · trade feed

Illustration

Recent trades

Latest disclosures

Nancy Pelosi

$1M – $5M

Trade Jun 20 · Reported Jul 3

Buy

Sheldon Whitehouse

$100K – $250K

Trade Jun 18 · Reported Jul 1

Buy

Roger W. Marshall

$15K – $50K

Trade Jun 12 · Reported Jun 28

Buy

Politicians

Directory and politician profiles

Search 400+ senators, House members, and OGE filers with reported stock trades. Pull profile metadata, trade counts, top stocks, and headline performance for any politician in our database.

GET/v1/politicians

Browse the full politician directory. Returns name, chamber, party, state, trade count, last trade date, and slug.

Query parameters

q — search by name
party — democrat | republican
chamber — house | senate | oge
sort — activity (default) | name | recent_trade
limit, cursor — pagination

Example response

{
  "data": [
    {
      "id": "P000197",
      "slug": "nancy-pelosi",
      "name": "Nancy Pelosi",
      "chamber": "house",
      "party": "democrat",
      "state": "CA",
      "tradeCount": 248,
      "lastTradeDate": "2026-06-20",
      "topTicker": "NVDA"
    }
  ],
  "meta": { "total": 412, "hasMore": true }
}

GET/v1/politicians/{id}

Detailed profile: bio fields, trading stats, top stocks, and performance summary.

Example response

{
  "id": "P000197",
  "slug": "nancy-pelosi",
  "name": "Nancy Pelosi",
  "chamber": "house",
  "party": "democrat",
  "state": "CA",
  "stats": {
    "tradeCount": 248,
    "buyCount": 142,
    "sellCount": 106,
    "lastTradeDate": "2026-06-20",
    "uniqueTickers": 87
  },
  "topStocks": [
    { "ticker": "NVDA", "tradeCount": 18, "netDirection": "buy" }
  ],
  "performance": {
    "returnSinceReported": 0.241,
    "excessVsSpy": 0.082,
    "chartable": true
  }
}

What you could render · politician profile

Illustration

Nancy Pelosi

House · Democrat · California

248 all-time reported stock trades

Top stock

Return

+24.1%

vs SPY

+8.2%

Aggregates

Trending stocks, sectors, and whale buys

Pre-computed aggregate views refreshed daily — which stocks and sectors politicians are piling into, unusually large purchases, and top-performing filers. Build dashboards and alerts without crunching filings yourself.

GET/v1/aggregate/hot-stocks

Stocks with the most congressional buying activity in the window. Includes politician count, buy/sell ratio, and participating politicians.

Query parameters

window — 30d | 90d | 1y (default 90d)
limit — default 20

Example response

{
  "window": "90d",
  "updatedAt": "2026-07-12T02:00:00Z",
  "data": [
    {
      "ticker": "NVDA",
      "rank": 1,
      "politicianCount": 12,
      "buyCount": 14,
      "sellCount": 2,
      "score": 91
    }
  ]
}

GET/v1/aggregate/hot-sector

The sector with the most congressional stock buying activity. Includes top tickers, politician count, and buy volume.

Query parameters

window — 30d | 90d | 1y (default 90d)

Example response

{
  "sector": "Technology",
  "window": "90d",
  "politicianCount": 34,
  "buyCount": 48,
  "topTickers": ["NVDA", "MSFT", "AAPL", "GOOGL"],
  "updatedAt": "2026-07-12T02:00:00Z"
}

GET/v1/aggregate/whale-buys

Unusually large trades relative to each politician's baseline — outlier purchases worth flagging.

Query parameters

limit — default 30
chamber — optional filter

Example response

{
  "data": [
    {
      "transactionId": "tx_8f2a1b",
      "politicianName": "Nancy Pelosi",
      "ticker": "NVDA",
      "amountMidpoint": 3000000,
      "politicianMedianBuy": 715000,
      "baselineMultiplier": 4.2,
      "transactionDate": "2026-06-20"
    }
  ]
}

GET/v1/rankings/top-politicians

Politicians ranked by reported-trade performance. Returns return since purchase, excess vs matched SPY, and trade count.

Query parameters

limit — default 10
window — 1y | 3y | all

Example response

{
  "window": "1y",
  "data": [
    {
      "rank": 1,
      "politicianId": "P000197",
      "name": "Nancy Pelosi",
      "returnSinceReported": 0.241,
      "excessVsSpy": 0.082,
      "tradeCount": 42
    }
  ]
}

What you could render · trend cards

Illustration

Hot stocks

Most-bought stocks

Last 90 days

stocks

NVDA12 buys

MSFT9 buys

Hot sector

Technology

34 politicians · 48 buys · last 90 days

Big buys

Way bigger than usual

Pelosi · NVDA

~$3M vs ~$700K avg

4×

bigger

Insights

Rules-based insight signals

Query deterministic insights derived from disclosure data — not LLM summaries. Detect when Congress piles into a ticker, spot unusual trade sizes, flag late disclosures, surface first-time buys, and more. Each insight ships with structured facts you can filter, score, and alert on.

GET/v1/insights

Insight feed sorted by score. Each record includes type, title, linked politician/ticker, structured facts, and disclosure metadata.

Query parameters

type — congress_piling_in | unusual_trade_size | late_disclosure_basic | first_time_buy | best_stock_pick | …
ticker — filter by symbol
politicianId — filter by politician
minScore — minimum relevance score
limit — default 20

Example response

{
  "data": [
    {
      "id": "ins_abc123",
      "type": "congress_piling_in",
      "title": "12 politicians bought NVDA this quarter",
      "score": 91,
      "ticker": "NVDA",
      "politicianCount": 12,
      "createdAt": "2026-07-09T02:00:00Z",
      "facts": {
        "windowDays": 90,
        "buyCount": 14,
        "politicianIds": ["P000197", "..."]
      }
    },
    {
      "id": "ins_def456",
      "type": "unusual_trade_size",
      "title": "Pelosi bought 4× more NVDA than usual",
      "score": 84,
      "ticker": "NVDA",
      "politicianId": "P000197",
      "facts": {
        "amountMidpoint": 3000000,
        "baselineMultiplier": 4.2
      }
    }
  ]
}

GET/v1/tickers/{symbol}/congress-activity

Congressional activity for a single ticker — politician count, net direction, and recent trades. Useful for ticker-level screens.

Example response

{
  "ticker": "NVDA",
  "politicianCount": 34,
  "buyCount": 48,
  "sellCount": 12,
  "netDirection": "buy",
  "recentTrades": [
    {
      "politicianName": "Nancy Pelosi",
      "type": "buy",
      "transactionDate": "2026-06-20"
    }
  ]
}

What you could render · insight cards

Illustration

Cluster91

NVDA

12 politicians bought NVDA this quarter

Pelosi, Whitehouse +10 more

12 politicians · 90 day window

Unusual size84

Bought 4× more than her 24-month average

House · filed Jul 3, 2026

Late disclosure67

Trade on Jun 20 not disclosed until Aug 4 — price moved +12% in between

45 days between trade and filing

Performance

Returns and performance series

Market-adjusted performance for politician stock picks. Cumulative return on reported buys vs matched SPY benchmark — available where we have price coverage for the underlying tickers.

GET/v1/politicians/{id}/performance

Time series of cumulative return on reported buys vs matched SPY. Includes summary metrics and chartable data points.

Query parameters

granularity — daily | monthly (default daily)

Example response

{
  "politicianId": "P000197",
  "benchmark": "SPY",
  "chartable": true,
  "summary": {
    "returnSinceReported": 0.241,
    "excessVsSpy": 0.082,
    "tradeCount": 42
  },
  "series": [
    { "date": "2025-01-01", "portfolio": 1.0, "spy": 1.0 },
    { "date": "2026-07-01", "portfolio": 1.241, "spy": 1.159 }
  ]
}

GET/v1/trades/{id}/returns

Return metrics for a single reported trade — return since trade date and excess vs SPY at time of purchase.

Example response

{
  "transactionId": "tx_8f2a1b",
  "ticker": "NVDA",
  "transactionDate": "2026-06-20",
  "returnSinceTrade": 0.142,
  "excessSinceTrade": 0.031,
  "marketDataStatus": "complete"
}

What you could render · performance chart

Illustration

Performance

Nancy Pelosi

+24.1%

Return on reported buys

+8.2%

Excess vs matched SPY

Jan '25 Portfolio SPYJul '26

What you can build

Every endpoint above maps to data we already compute from official filings — trades, aggregates, insights, and performance. Mix and match to build exactly the view you need.

Congressional trading dashboards and alert systems
Journalism tools for disclosure lag and conflict tracking
Academic research on politician investment behavior
Ticker screens filtered by congressional activity
Portfolio trackers mirroring politician stock picks
Compliance and transparency monitoring for NGOs

FAQ

Questions about the API

What we are building, what data will be available, and how to get early access when we launch.

Not yet. This page describes the API we are planning to launch. The Access API button is a placeholder while we gauge interest and finalize endpoints, pricing, and rate limits. Join the waitlist by contacting us if you need early access.

Trades from STOCK Act filings, politician profiles and directory stats, daily aggregate views (hot stocks, hot sector, whale buys, rankings), rules-based insights (congress piling in, unusual trade sizes, late disclosures, and more), and performance metrics vs SPY where market prices are available.

All data comes from public financial disclosure filings — House PTRs, Senate eFD reports, and OGE Form 278-T filings. We parse, normalize, and pre-compute metrics in our pipeline. The API returns structured JSON derived from those official sources, not broker feeds or unverified tips.

Yes. Planned endpoints support filtering recent trades by politician, ticker symbol, chamber, party, transaction type (buy/sell), and disclosure date range. Politician-specific endpoints return full trade history for a single filer.

Our site refreshes as new filings are discovered and processed — typically daily for aggregate cards and rankings, and incrementally as new House, Senate, and OGE reports are published. Politicians are not required to disclose trades in real time, so there is always a lag between a trade and its appearance in public filings.

We intend to support developers, journalists, researchers, and fintech builders. Licensing and rate limits are still being defined. If you have a specific use case — dashboards, alerts, academic research, or media — let us know so we can prioritize the endpoints you need.

Where we have market price coverage, yes. Politician performance series, returns since trade date, and excess return vs SPY will be available on politician and trade endpoints. Tickers with limited congressional activity may not have full price history.

Click Access API on this page to register interest (coming soon). You can also subscribe to our newsletter on the homepage for product updates. We will announce pricing, authentication, and documentation when early access opens.