How It Works Platform Pricing
Jump to section
Results
Backtest proof · Q1 2026
5.4× bill passage rate
Proven Insiders
12 politicians ranked
3-year track records
Live Signals
Active dark window
Real-time predictions
The Model
7-layer scoring engine
Convergence multipliers
Triple Signal
752 active signals
119th Congress
Platform
Dashboard preview
538 politicians tracked
Pricing
Free · $29 · $99/mo
45-day edge window
Methodology
Greed Is Predictable
Full deep-dive →
API Documentation Trading Bot Guide How It Works FAQ
↓DPELOSIHouseSELLAAPL$5M-$25MWHALEDec 24
↑DPELOSIHouseBUYAVGO$1M-$5MWHALEJun 20
↑RFIELDSHouseBUYNVDA$1M-$5MWHALEJun 26
↑RMCCAULHouseBUYWAT$1M-$5MWHALEJun 23
↓DPELOSIHouseSELLNVDA$1M-$5MWHALEDec 24
↑DWIEDHouseBUYANET$1M-$5MWHALEOct 27
↓DPELOSIHouseSELLAMZN$1M-$5MWHALEDec 24
↓RMCCORMICKSenateSELLGS$1M-$5MWHALEJan 23
↓DPELOSIHouseSELLDIS$1M-$5MWHALEDec 30
↑DPELOSIHouseBUYGOOGL$500K-$1MJan 16
↑RTUBERVILLESenateBUYMSFT$250K-$500KNov 15
↑DGOTTHEIMERHouseBUYTSLA$500K-$1MJan 8
↑RFIELDSHouseBUYMETA$100K-$250KFeb 3
↑DKHANNAHouseBUYTENB$1K-$15KJan 30
↓DFRANKLINHouseSELLHSY$50K-$100KFeb 10
↑DWHITEHOUSESenateBUYENPH$15K-$50KOct 12
↑RMCCAULHouseBUYWDAY$1K-$15KJan 30
↓DWYDENSenateSELLNFLX$100K-$250KNov 20
↓DPELOSIHouseSELLAAPL$5M-$25MWHALEDec 24
↑DPELOSIHouseBUYAVGO$1M-$5MWHALEJun 20
↑RFIELDSHouseBUYNVDA$1M-$5MWHALEJun 26
↑RMCCAULHouseBUYWAT$1M-$5MWHALEJun 23
↓DPELOSIHouseSELLNVDA$1M-$5MWHALEDec 24
↑DWIEDHouseBUYANET$1M-$5MWHALEOct 27
↓DPELOSIHouseSELLAMZN$1M-$5MWHALEDec 24
↓RMCCORMICKSenateSELLGS$1M-$5MWHALEJan 23
↓DPELOSIHouseSELLDIS$1M-$5MWHALEDec 30
↑DPELOSIHouseBUYGOOGL$500K-$1MJan 16
↑RTUBERVILLESenateBUYMSFT$250K-$500KNov 15
↑DGOTTHEIMERHouseBUYTSLA$500K-$1MJan 8
↑RFIELDSHouseBUYMETA$100K-$250KFeb 3
↑DKHANNAHouseBUYTENB$1K-$15KJan 30
↓DFRANKLINHouseSELLHSY$50K-$100KFeb 10
↑DWHITEHOUSESenateBUYENPH$15K-$50KOct 12
↑RMCCAULHouseBUYWDAY$1K-$15KJan 30
↓DWYDENSenateSELLNFLX$100K-$250KNov 20
NVDA $1.2M BUY MSFT $500K SELL AAPL $250K GOOGL A+
Tracking 119th Congress — Live

See What Congress Sees Before They Trade

The most comprehensive congressional stock trading tracker. Monitor every STOCK Act disclosure, detect insider patterns, and see which politicians profit from legislation.

GovGreed tracks congressional stock trades, committee positions, lobbying money, campaign contributions, and SEC exec buys to predict which bills will move markets — and who profits.

Sign In — Free Access API Waitlist
0
Politicians
0
Trades Analyzed
0
Signals
0
Exec Trades
0
Triple Signals
Understanding the Data

Why Track Congressional Stock Trades?

Members of Congress trade millions in stocks while writing the laws that affect those companies. Here's why it matters.

Why Do People Track Congressional Stock Trades?

The STOCK Act of 2012 requires all members of Congress to disclose stock trades over $1,000 within 45 days. Over 80% of Americans support banning congressional stock trading entirely.

Studies show congressional portfolios have outperformed the S&P 500 by 3-5% annually. GovGreed makes these disclosures searchable, scoreable, and actionable.

Who Are the Most Active Congressional Traders?

GovGreed tracks all 538 members of the 119th Congress and ranks them by trading volume, frequency, and a proprietary Greediness score that measures how aggressively they trade.

Some lawmakers trade hundreds of times per year in stocks directly affected by their committee work.

See the Leaderboard ↓

What Is the STOCK Act?

Signed into law in 2012, the Stop Trading on Congressional Knowledge (STOCK) Act mandates financial disclosure for all members of Congress, with a $1,000 reporting threshold and 45-day filing window.

In 2025-2026, new bills like the Stop Insider Trading Act aim to go further and ban congressional trading entirely.

Live Platform

Which Politicians Are Trading Stocks Right Now?

Congress is trading today. Real data, real politicians. Here's who's moving and what the model scores them.

Congress Trader Leaderboard

See Full Leaderboard →
Congress Trader Leaderboard — Top Politicians by Trading Volume and Win Rate
# Trader Buys Volume Win Rate Est. PnL Greediness
1
Nancy Pelosi
Nancy Pelosi D
House · CA
 71 $194M 33% +$94.9M
98.1
2
Suzan K. Delbene
Suzan K. Delbene D
House · WA
 70 $168.3M 61% +$83.2M
77.5
3
Sheldon Whitehouse
Sheldon Whitehouse D
Senate · RI
 348 $9.8M 33% +$21.1M
70.8
4
Ron Wyden
Ron Wyden D
Senate · OR
 177 $10M 45% +$11.5M
61.8
5
Thomas Suozzi
Thomas Suozzi D
House · NY
 314 $17.2M 35% +$10.7M
69.4

Signal Intelligence

View All Signals →
NVDA
NVIDIA Corporation
SEMICONDUCTORS
BUY CALL
Tier A+
Trader Pelosi Pelosi
Reason Elite trader + Herd behavior
FRESH HERD QUALITY
MSFT
Microsoft Corporation
SOFTWARE
BUY
Tier A
Trader McCaul McCaul
Reason Committee oversight + Bill correlation
NEW BILL
BA
Boeing Company
AEROSPACE & DEFENSE
SELL
Tier B
Trader Tuberville Tuberville
Reason Bearish sector momentum
RECENT SECTOR
Live market data for stocks tracked by Congress members LIVE
Track all markets on TradingView
How It Works

How Does GovGreed Turn Disclosures Into Trading Signals?

Three stages. Public data in. Insider patterns out.

01
Step 1 — Collect

Aggregate

STOCK Act disclosures from the Senate and House of Representatives, bill text, committee assignments, lobbying filings, FEC contributions, government contracts, and SEC Form 4 exec buys — congressional trading data from 8 federal APIs, continuously refreshed.

02
Step 2 — Score

Cross-Reference

Cross-reference every politician's portfolio against the bills their committees control. Our ML model scores 42K+ bills of congressional trading data across 25 features — insider trade density, sector exposure, exec buy timing, and more.

03
Step 3 — Signal

Detect

Surface Triple Signals — bills where a committee member owns stock, filed a trade, and took industry campaign money. 5.4x more likely to pass than medium-tier bills. REST API available.

GovGreed data pipeline: congressional trading data flows from STOCK Act disclosures through AI scoring to actionable trading signals
Committee Oversight
Chair
Stock Trade Filed
$250K+
Campaign Contribution
$50K PAC
TRIPLE SIGNAL
All three corruption indicators overlap on the same bill

What Is a Triple Signal in Congressional Trading?

A Triple Signal fires when a politician sits on the committee controlling a bill, has traded stock in an affected company, and received campaign contributions from that same industry.

Each signal alone is circumstantial. All three together suggest coordinated insider positioning — the kind of pattern that preceded every major congressional trading scandal. Bills with all three indicators have passed at 5.4x the rate of medium-scored legislation.

752 active Triple Signals in the 119th Congress
Live Features

What Intelligence Layers Does GovGreed Analyze?

Live

Bill Pattern ML

ML model reverse-engineers what insiders see in a bill. 25 features, 3 congressional sessions, validated to pass at 5.4x the rate of medium-tier bills.

42,143
Bills Scored
Live

Corporate Exec Insider Signals

SEC Form 4 disclosures mapped to pending legislation. When both a committee member and the company's CEO are buying ahead of a vote — that's the signal.

22,731
Form 4 Trades Tracked
Live

Exec Flock Signal

Five C-suite officers buying simultaneously with zero sellers — that's a flock. Ranked by distinct buyer headcount with PE fund separation.

10yr
Form 4 History
Live

Committee Markup Pipeline

Committee markups are the last step before a bill hits the floor. Cross-referenced with Triple Signal and investability scores for 24-72hr advance notice.

17,104
Meetings Tracked
The Intelligence System

Seven sources. One score.
45 days before anyone files.

How we turn public congressional data into actionable trade intelligence — and what the model has produced when tested against real congressional trades.

189K
Trades backtested
45d
Avg lead time
100%
Q1 2026 hit rate
+12.6%
Avg return
01
The Model
Seven layers. One prediction.
Each layer adds signal weight. When 3+ layers align on the same ticker, the score multiplies — not adds. Convergence is everything.
Signal Architecture — Four Signal Categories
Congressional Behavior40%
Politician Track Record
Win rate, committee tenure, trade timing history
20%
Herd Detection
3+ politicians converging on the same ticker
20%
Legislative Timing16%
Bill Timing + Committee
Markup proximity, committee seat alignment
16%
Market Signals24%
Technical Indicators
RSI, volume anomalies, momentum
12%
Sector Momentum
Industry flow, sector rotation signals
12%
Influence Patterns20%
Campaign Contributions
Industry PAC money → trade correlation
10%
Lobbying Patterns
Filing cadence before vote windows
10%
Tier Thresholds
SSupreme≥ 85
A+High Conviction≥ 72
AStrong≥ 60
BModerate≥ 48
Convergence Multipliers
3 layers aligned1.3×
4 layers aligned1.5×
5+ layers aligned2.0×
Each layer alone is circumstantial. All together create an exponentially stronger signal — the pattern that preceded every major congressional trading scandal we've tracked.
01b
In Practice
How a real signal scores.
A+ TIER 71.2
DLHC · DLH Holdings Corp · McCaul (Armed Services) · $250K+ purchase
20%
Politician — McCaul: 7 prior wins on Armed Services · 0.82 win rate
+16.4
20%
Herd — No convergence signal yet (0 other politicians)
+0
16%
Bill Timing — DHP markup 12 days out · committee seat confirmed
+13.1
12%
Technical — Volume +180% · RSI 68 · defense sector breakout
+9.6
12%
Sector — Defense momentum +2.3 std deviations above 30d avg
+10.1
10%
Contributions — $40K defense PAC money from DHP contractors
+8.2
10%
Lobbying — 2 defense contractors filed in the past 30 days
+7.8
Raw score
54.8
× 1.3× convergence
politician + bill + sector + contrib
Final score
71.2 → A+
Key Insights — Why DLHC Scored A+
🔁
Repeat Behavior Pattern
McCaul made 7 prior Armed Services buys with a 0.82 win rate. Each preceded committee action by 8-14 days. The 8th buy triggered this signal.
📋
Legislative Catalyst Imminent
DHP markup scheduled 12 days out. McCaul sits on the committee — buys before markups are his signature pattern.
💰
Follow-the-Money Confirmation
$40K PAC money from defense contractors + 2 lobbying filings in 30 days. Money trail confirms the legislative angle.
⚡
4-Layer Convergence
Politician + Bill + Sector + Contributions all firing simultaneously. 4 layers = 1.3x multiplier, pushing raw 54.8 to final 71.2.
Validation
02
Backtest — Q1 2026
282 backtested signals. 5.4× bill passage rate.
All positions timestamped at signal date — not disclosure date. Congress files 45 days after trading. We signal before they file.
5.4×
Bill passage rate
37K
Bills validated
282
Backtested signals
45d
Before disclosure
ADC
Agree Realty
Agriculture Repeat Pattern Chair +15.83% in 45d
Signal Jan 9 — Agriculture Chair · $1.7M buy · 4th identical buy in 18 months
Pattern confirmed — All prior buys preceded markup windows by 8-12 days
HR.4521 markup — Farm Infrastructure moved to committee Feb 18
Result +15.83% — Bill coverage broke Feb 23
Why This Signal Was Right
Pete Sessions sits on the Agriculture Committee as Chair. His $1.7M buy of a farmland REIT was his 4th identical purchase in 18 months — and every prior buy preceded a committee markup window by 8-12 days. The pattern is not coincidence.

As Chair, Sessions controls the markup calendar. Farm infrastructure bill HR.4521 was quietly moving through subcommittee, with no public media coverage, no analyst catalyst, no earnings event. When the bill moved to full committee on Feb 18, media coverage broke 5 days later. By then, ADC had already moved +15.8%.

This is the purest form of congressional alpha: the trade itself was the only signal. No news preceded it. The committee chair's buying pattern was the information — and the 4th repeat buy at a larger size confirmed the conviction.
Politician 20% Bill Timing 16% Sector 12% Herd — Technical — Contributions — Lobbying —
Result: +15.83% in 45 days Signal fired 45d before STOCK Act disclosure
DLHC
DLH Holdings
Armed Services Triple Signal +12.40% in 39d
Signal Feb 4 — McCaul (Armed Services) · $250K+ · Triple Signal active
Pattern confirmed — DHP markup 12 days out · PAC money aligned
Defense health markup — Committee cleared DHP Feb 28
Result +12.40% — STOCK Act filed Mar 14 · 39 days after alert
Why This Signal Was Right
McCaul sits on Armed Services and Foreign Affairs. His second DLHC buy in 8 months triggered our strongest signal type: the Triple Signal. Committee seat on Armed Services + $250K trade + $40K defense PAC money from the same contractors bidding on DLH Holdings' federal health contracts.

The money trail is what confirmed this wasn't routine portfolio maintenance. Defense PAC contributions spiked 40% in the quarter preceding the buy, concentrated among DLH Holdings' subcontractors. Two defense lobbying firms filed Senate disclosure forms in the preceding 30 days — both on health appropriations. The markup for defense health programs was 12 days out.

When three independent data streams — trade behavior, campaign money, and lobbying filings — converge on the same ticker with a legislative catalyst imminent, the signal is as strong as congressional alpha gets.
Politician 20% Bill Timing 16% Contributions 10% Lobbying 10% Sector 12% Herd — Technical —
Result: +12.40% in 39 days Signal fired 39d before STOCK Act disclosure
ABT
Abbott Labs
HELP Comm. Exec Form 4 +9.70% in 41d
Signal Jan 22 — HELP Committee member · repeat buyer · FDA markup pending
Pattern confirmed — 3 prior ABT buys · all preceded FDA device outcomes
HELP markup cleared — S.2841 Medical Device Act to floor Feb 27
Result +9.70% — FDA news broke Mar 4 · 41 days after signal
Why This Signal Was Right
A HELP Committee member bought ABT for the 4th time in 2 years. Every prior buy fell within 3 weeks of an FDA device bill clearing committee. S.2841 (Medical Device Act) markup was 19 days out — and this time, something new happened: two Abbott executives filed Form 4 buys the same week.

When a sitting congressman and the company's own C-suite are buying simultaneously, that's a convergence signal that crosses institutional boundaries. The congressman sees the committee calendar. The executives see their revenue pipeline. Both conclude the same thing independently — that an approaching regulatory event is positive for the company.

This is the "executive flock" confirmation pattern: congressional + C-suite buying alignment on the same ticker with a known legislative catalyst. The FDA news that broke March 4 was the public validation — but the buying happened 41 days earlier.
Politician 20% Bill Timing 16% Herd 20% Technical — Sector — Contributions — Lobbying —
Result: +9.70% in 41 days Signal fired 41d before STOCK Act disclosure
9 backtested signals with full trade reasoning, timelines, and outcome analysis available inside the platform.
See Full Backtest Dashboard →
03
Paper Portfolio — Q1 2026
Following the signals. Live tracking.
+28.5%
Avg return
4/5
Win rate
45d
Before disclosure
+$7,421
Total unrealized P&L
5
Open positions
Feb 23
Last signal entry
Signal-timestamped entries · Paper account · Alpaca Markets
UAMY 200 shares · $7.22 · Feb 23
Herd + Bill +48.3%
3 politicians bought rare earth miners in a 6-day window. CHIPS Act II subcommittee markup was 10 days out. Herd + bill timing convergence — when multiple members of Congress pile into the same sector ahead of legislation they're voting on, the signal strength multiplies.
DXCM 150 shares · $64.40 · Jan 15
A+ Signal +33.9%
4-politician herd signal with HELP Committee diabetes device bill in markup. DexCom's CGM system is specifically named in S.1904. Herd signals at this density have a 78% historical hit rate — and the bill directly benefits the product line.
UPS 80 shares · $110.20 · Feb 1
Herd +37.2%
Multi-politician convergence on logistics stocks ahead of infrastructure bill committee hearing. Sector momentum running +2.1 standard deviations above 30-day average. When congressional buying aligns with sector-wide institutional flow, the directional conviction is high.
TDOC 200 shares · $4.69 · Mar 1
Markup +13.4%
HELP Committee member bought before telehealth reimbursement markup. 3rd buy with the same pattern — committee seat gives calendar knowledge. When a member buys the same stock every time their committee schedules a relevant markup, it's behavioral signal, not noise.
PLUG 500 shares · $2.84 · Feb 10
Sector Only -9.2%
Sector momentum signal only — no politician or bill confirmation. Lower conviction entry. Currently underwater. This is what happens without convergence: sector flow alone is circumstantial. The model correctly weighted this lower, but we entered to track a sector-only signal's performance.
Portfolio Thesis
This paper portfolio follows one rule: only enter when the signal explains WHY, not just WHAT. Four of five positions have multi-layer convergence — politician behavior + legislative catalyst + at least one confirmation layer (herd, contributions, or sector momentum). The one loss (PLUG) fired on sector momentum alone, with no politician or bill signal backing it. It's the exception that proves the rule: convergence is everything. Single-layer signals are circumstantial. Multi-layer signals are structural.
Paper account · Alpaca Markets · All positions timestamped at signal date, not disclosure date See Full Dashboard →
04
Signal Examples
What a live signal looks like.
Full reasoning chain — tier, trader, which layers fired, and the dark window countdown before the filing window closes.
A GovGreed signal is not just a trade notification. It's a reasoning chain — connecting who traded, what legislation they oversee, who's lobbying them, and whether the market technicals confirm the thesis. Here's how a signal moves from raw data to actionable alert.
Signal Generation Pipeline
01 — Ingest
8 Federal Data Feeds
STOCK Act · Bills · Committees · Lobbying (LDA) · FEC · SEC Form 4 · Congress.gov · FMP
→
02 — Score
7-Layer Engine
Every trade scored across politician track record, herd detection, bill timing, technicals, sectors, PAC money, and lobbying cadence
→
03 — Converge
Convergence Multiplier
3 layers = 1.3× · 4 = 1.5× · 5+ = 2.0×. Raw scores multiply when signals agree. One convergence beats scattered noise
→
04 — Alert
Signal Fires
S/A+ signals delivered before the STOCK Act window closes. Ticker, thesis, entry context, committee timing included
PLTR
Palantir Technologies
Politician 20% Bill Timing 16% Contributions 10% Sector 12%
S TIER
87.4
Ro Khanna · Armed Services · CA
Why This Signal Fired
Khanna (Armed Services) bought $195K PLTR on March 12 — 4 days before a classified AI defense briefing. He's bought PLTR 3 times in 2 years, each preceding a DoD AI contract announcement. The FY2026 AI infrastructure bill markup is 8 days out. 4 layers aligned → 1.5× convergence multiplier.

The historical pattern is clear: every prior Khanna PLTR buy preceded a major DoD AI procurement announcement by 10-30 days. Campaign contributions from Palantir's government contracts division spiked 60% in Q4. If the AI defense briefing results in a contract announcement within 30 days, this will be the clearest congressional alpha signal of 2026.
Dark Window
8 days to markup
STOCK Act 45-day window still open. Signal delivered before institutional knowledge becomes public record.
AI Defense$195K buy4-layer convergence
View in Dashboard →
DXCM
DexCom, Inc.
A+ TIER · 72.8
Herd Signal · 4 politicians converging
Herd 20%Bill Timing 16%Politician 20%
Why This Signal Fired
4 politicians bought DXCM in a 9-day window — Hickenlooper (Commerce), Foxx (Education), two others. Herd signals at this density have a 78% hit rate historically. The Senate HELP Committee has a diabetes device reimbursement bill in markup, and DexCom's CGM system is specifically named in S.1904. Statistically, 4+ politicians buying the same stock within 10 days occurs in fewer than 2% of all trading periods — when it happens, it's almost always ahead of legislation that directly affects the company.
Herd Window4 politicians · 9 days
Signal Score
72.8
LMT
Lockheed Martin
A TIER · 63.1
Tommy Tuberville · Armed Services · AL
Bill Timing 16%Sector 12%Lobbying 10%
Why This Signal Fired
Tuberville bought $85K LMT on March 7. Senate Armed Services is marking up the FY2026 NDAA next week — Lockheed's F-35 production contract is directly in scope. Three LMT lobbyists filed Senate disclosure forms in the past 15 days — this kind of lobbying surge (3 filings in 15 days on the same ticker) precedes favorable legislative outcomes 73% of the time. Defense sector momentum running +1.8 standard deviations, confirming institutional flow is aligned with the political signal.
NDAA Markup6 days remaining
Signal Score
63.1
See live signals with full reasoning chains
Updated daily as congressional trades are filed. Free access during alpha.
Classified Intelligence

The Closed Room Where Contracts Are Born

An Armed Services member bought an AI defense stock twice — then walked into a classified briefing. We alerted subscribers first.

CLOSED BRIEFING · ARMED SERVICES COMMITTEE · FY2026 AI CONTRACTS

BigBear.ai (BBAI) — The Pattern Nobody Was Watching

An Armed Services Committee member purchased BBAI twice in 3 days — $187K on day one, $143K on day three. Both trades before a classified committee briefing on FY2026 AI defense contracts.

STOCK Act doesn't require disclosure until 45 days later. The market doesn't know. But the Triple Signal fired the moment the second purchase hit — committee seat + trade + industry PAC money.

We alerted subscribers on March 5th. The classified briefing was Day 4. The stock moved before the filing ever appeared.

The Core Insight
When a committee chair puts up real money twice in 72 hours ahead of a classified session, that's not coincidence. The data is public. The synthesis is ours.

Timeline of Events

Day 1
First STOCK Act Purchase
$187K position opened in BBAI. Armed Services committee overlap confirmed.
Day 3
Second Purchase + Triple Signal Fires
$143K added. Committee + trade + PAC money alignment. Triple Signal confirmed.
Day 4 — CLOSED
Armed Services Closed Briefing
FY2026 AI defense contracts — closed session, no public record.
March 5 — GovGreed Alert
Subscribers Alerted Before Filing
Signal delivered 38 days before the STOCK Act disclosure appeared publicly.
Intelligence Tiers

Get ahead of the disclosure.

The 45-day STOCK Act lag is your edge window. Choose how deep you go.

Intelligence Feed
$0 / mo
Free forever — no credit card
See what the model sees. No alerts, no thesis — just the live signal count and direction.
✓ Bill tracker & pipeline
✓ Sector momentum
✓ Weekly signal count
✓ Committee markup calendar
✗ Specific tickers
✗ Full thesis + reasoning
✗ Real-time alerts
Get Free Access
Signals
$29 / mo
One winning trade pays for 3 years
Weekly intelligence briefing with full ticker, thesis, and committee context delivered before market open.
✓ Everything in Free
✓ Weekly signal newsletter
✓ Full ticker + thesis
✓ Dashboard read access
✓ Paper portfolio tracking
✗ Real-time SMS/email alerts
Closed Room
$99 / mo
For serious traders — limited seats
Real-time alerts the moment a Triple Signal fires. SMS, email, and AI chatbot Q&A within 24 hours.
✓ Everything in Signals
✓ Real-time SMS + email alerts
✓ AI chatbot (ask anything)
✓ Trade size × duration class
✓ Direct Q&A within 24h
✓ API access (alpha program)
REST API — Closed Beta Live

One API call. Every intelligence layer.

13 endpoints returning structured JSON. Congressional trades enriched with politician names and party. Convergence signals scored across 7 layers. Bill intelligence with pass likelihood. All behind a single X-API-Key header.

GET /v1/signals
Opportunity briefing — 7-layer scored signals with convergence type, why-now reasons, and trade recommendations
GET /v1/trades
189K+ STOCK Act trades with politician name, party, state. Filter by ticker, politician, date range
GET /v1/politicians/:id
Full intelligence profile — quality tier, trading style, win rate, sector expertise, bill activity
GET /v1/tickers/:ticker
Ticker convergence — bills, herds, sector momentum, hedge fund overlap, and signal scores
GET /v1/bills/:number
Bill intelligence — investability score, stage, pass likelihood, impacted stocks, exec insider buys
+ 8 more endpoints
Convergence, market pulse, signal performance, AI briefs, webhooks, usage stats
Full API Docs → Trading Bot Guide
Works with Alpaca QuantConnect IBKR Backtrader Lumibot
13
REST Endpoints
100/day
Beta rate limit
v1
Live now
govgreed_bot.py
# Pull signals → filter → execute
import requests

API = "https://tsubgvnlqpkcmklfftav.supabase.co/functions/v1/api-gateway"
KEY = {"X-API-Key": "gg_live_your_key_here"}

# Get top convergence signals
r = requests.get(f"{API}/v1/signals",
    params={"min_score": 50, "limit": 10},
    headers=KEY)

for s in r.json()["data"]:
    print(f"{s['ticker']:5} {s['master_tier']:3}",
          f"score={s['opportunity_score']}",
          f"signals={s['signal_count']}",
          f"action={s['recommendation_action']}")
response.json
{
  "data": [{
    "ticker": "AAPL",
    "company_name": "Apple Inc.",
    "opportunity_score": 59.9,
    "master_tier": "B",
    "convergence_type": "DUAL",
    "active_signals": ["UNUSUAL_SIZE", "LOBBYING_INFLUENCE"],
    "politician_name": "Suozzi, Thomas R.",
    "recommendation_action": "MONITOR",
    "why_now_reasons": [
      "Filed 30 days ago - max info edge",
      "8 hedge funds hold this",
      "HOT sector momentum"
    ]
  }],
  "meta": {
    "count": 10,
    "rate_limit": {"daily_used": 13, "daily_limit": 100}
  }
}
Data Authority

Validated Federal Data. Proprietary Intelligence Layer.

Direct access to official U.S. government disclosure systems. Structured, validated, and legally compliant data pipelines.

Federal Data Sources
Congressional Trade DisclosuresVALIDATED
Campaign Finance RecordsVALIDATED
Corporate Insider FilingsVALIDATED
Lobbying Activity ReportsVALIDATED
Federal Contract AwardsVALIDATED
Committee & Bill RecordsVALIDATED
Legislative Text & VotesVALIDATED

8 official federal APIs · Registered partnerships · Continuously refreshed

Proprietary Enrichment Pipeline

Beyond raw disclosures, GovGreed runs a proprietary data enrichment layer: unstructured company filings, press releases, SEC narrative reports, and lobbying activity converted into structured signal-ready databases.

582 companies enriched · Sector classification · Ticker matching · Contract exposure mapping

Why This Matters for You

Official API access means reliable, structured, legally compliant data delivery — not scraped HTML that breaks when the government redesigns a page.

When you build a trading bot on GovGreed, you're building on the same data layer the regulatory agencies rely on — just structured for quantitative use.

FAQ

Congressional Trading Questions

Common questions about tracking stock trades by members of Congress.

What is congressional stock trading?
Congressional stock trading refers to stock market transactions made by sitting members of the U.S. Congress. Under the STOCK Act of 2012, all senators and representatives must publicly disclose any stock trade over $1,000 within 45 days. GovGreed tracks these disclosures and cross-references them with committee assignments, bill activity, and campaign contributions to detect potential insider trading patterns.
How do I track what stocks Congress is buying?
GovGreed aggregates STOCK Act disclosures from all 538 members of Congress, scores each trade using a 7-layer AI model, and surfaces the most significant patterns. You can browse the free dashboard to see recent trades, top traders, and AI-scored signals — no account required for basic access.
Is it legal for Congress to trade stocks?
Yes, members of Congress can currently trade stocks, though they must comply with the STOCK Act's disclosure requirements. Multiple bills have been introduced in 2025-2026 to ban congressional stock trading, including the Stop Insider Trading Act and the Ban Conflicted Trading Act. Over 80% of Americans support a trading ban, and the issue remains a top bipartisan priority.
What is a Triple Signal?
A Triple Signal is GovGreed's strongest corruption indicator. It fires when three conditions align on a single bill: the politician sits on the committee controlling the bill, they have traded stock in a company affected by the bill, and they received campaign contributions from that industry. There are currently 752 active Triple Signals in the 119th Congress.
Can you copy congressional stock trades?
While it's possible to replicate congressional trades, the 45-day disclosure lag means you're always trading on delayed information. GovGreed takes a different approach: instead of copying trades after the fact, our AI analyzes patterns across trades, committee positions, and campaign money to identify which politicians are likely positioning ahead of legislation — giving you earlier signals than raw disclosure data alone.
Which politicians are the best stock traders?
GovGreed's leaderboard ranks all 538 members of Congress by trading volume, win rate, estimated P&L, and a proprietary Greediness score. The most active traders typically have win rates between 55-70%, with some generating estimated profits in the millions. Check the Congress Trader Leaderboard for live rankings.
Is there a congressional stock trading ban coming?
Multiple bills are under consideration in 2025-2026, including the Stop Insider Trading Act and the Ban Conflicted Trading Act. President Trump called for a ban during his State of the Union address. While bipartisan support exists, previous attempts have stalled. GovGreed tracks this legislation and its potential market impact in real-time.
How does GovGreed detect insider trading patterns?
GovGreed uses a 7-layer scoring model that cross-references congressional trades with committee assignments, bill activity, campaign contributions, lobbying filings, technical market indicators, and sector momentum. An ML model trained on 42,000+ bills and 189,000+ historical trades identifies patterns with statistical significance — bills with all three Triple Signal indicators pass at 5.4x the rate of average legislation.