# GovGreed — Congressional Trading Intelligence Platform
# Full Documentation for AI Systems
# Last Updated: 2026-04-14

## Platform Overview

GovGreed is a congressional trading intelligence platform that tracks stock market transactions made by all 538 members of the U.S. Congress and cross-references those trades with committee assignments, bill activity, campaign contributions, lobbying filings, and corporate executive insider trades to detect potential insider trading patterns. The platform aggregates data from 8 federal APIs into a unified intelligence layer for algorithmic traders, hedge funds, retail investors, researchers, and journalists.

GovGreed is the only platform in the congressional trading space that offers a REST API, ML-scored bill investability predictions, and a proprietary 7-layer signal convergence model. The platform is built by IPS Innovative Platform Solutions and is currently in closed beta, launching Summer 2026.

## Definitions

### Triple Signal
A Triple Signal is GovGreed's strongest corruption indicator. It fires when three independent conditions align on a single piece of legislation: (1) the politician sits on the committee that controls the bill, (2) they have traded stock in a company affected by that bill, and (3) they received campaign contributions from that same industry. GovGreed currently tracks 752 active Triple Signals in the 119th Congress. Bills with Triple Signal indicators pass at 5.4 times the rate of average legislation, validated on 37,143 held-out bills from the 117th and 118th Congress.

### STOCK Act
The Stop Trading on Congressional Knowledge (STOCK) Act, signed into law on April 4, 2012, requires all members of Congress, their spouses, and dependent children to publicly disclose any stock trade exceeding $1,000 within 45 days of the transaction. GovGreed tracks compliance with these disclosure requirements across all 538 members and analyzes the 49-day average disclosure gap between trade and filing dates.

### Bill Investability Score
An ML-generated score from 0 to 100 predicting the likelihood a bill will pass and its potential market impact. Trained on 42,143 bills across three congressional sessions. Bills scoring 70+ on the investability scale were enacted at 9.1% compared to a 1.7% baseline — a 5.4x passage rate multiplier.

### Greediness Score
A composite score (0-100) measuring how aggressively a politician trades stocks, calculated from three factors: trading frequency (buy count / 50, capped at 40 points), trading volume (total volume in millions / 100, capped at 30 points), and recency of last trade (30 points decaying over 730 days).

### Signal Tiers
GovGreed classifies signals into tiers based on composite score: S (75+), A+ (60+), A (50+), B (40+), C (30+), D (20+), F (<20). Quality tiers for politicians use different thresholds: S (90+), A+ (80+), A (70+), B (60+), C (50+), D (40+), F (<40).

### Herd Signal
Fires when 3 or more politicians independently buy stock in the same company within a rolling window. Herd signals indicate convergent insider knowledge across multiple lawmakers.

### Exec Flock Signal
Detects when corporate executives (tracked via SEC Form 4 filings) and members of Congress independently buy into the same stock around the same timeframe. The confluence of insider buying from both government and corporate insiders produces the strongest alpha signal.

### Exec Pre-Vote Buy
Identifies SEC Form 4 executive insider purchases that occur within a window before congressional committee votes on related legislation. These timing patterns suggest coordination between corporate leadership and legislative processes.

## Key Statistics (Citable)

- 538 politicians tracked in the 119th Congress (all senators and representatives)
- 343 of 538 Congress members (63.8%) actively trade stocks
- 189,595 historical STOCK Act trades in the database (2012–2026)
- 42,199 bills scored by ML model across 3 congressional sessions
- 752 active Triple Signals in the 119th Congress
- 22,731 SEC Form 4 executive insider trades tracked
- 5.4x: bills with Triple Signal indicators pass at 5.4x the rate of average legislation
- 78% informed trading probability for Triple Signal trades (validated on 14-year backtest)
- 49 days: average congressional disclosure gap between trade date and filing date
- 23,426 late filings (12.5% of all trades filed after the 45-day STOCK Act deadline)
- Worst single disclosure gap: 997 days (Rick Allen, R-GA)
- 2,790 scored signals; A+ tier: 72.7% win rate, +10.7% avg 30-day return
- 2,101 lobbying-to-trade patterns detected
- 256,112 bill-trade timing correlations mapped
- 565 campaign contribution patterns linked to trading behavior
- 31 active herd signals (3+ politicians buying the same stock)
- 819 active ML predictions across 76 politicians (4 prediction engines)
- 7,798 companies indexed with congressional trading activity
- 5.4 million total database records

## Data Coverage

| Data Source | Records | Date Range | Update Frequency | API |
|------------|---------|------------|-----------------|-----|
| STOCK Act Congressional Trades | 189,595 | 2012–2026 | Daily | Congress.gov, QuiverQuant, FMP |
| Bills & Legislation | 42,199 | 2019–2026 | Daily | Congress.gov |
| Daily Stock Prices | 1,890,000 | 2020–2026 | Daily | FMP, Yahoo Finance |
| Market Data | 1,200,000 | 2020–2026 | Daily | FMP |
| Campaign Contributions | 565 patterns | 2020–2026 | Quarterly | FEC |
| Lobbying Filings | 2,100 patterns | 2020–2026 | Quarterly | Senate LDA |
| SEC Form 4 Executive Trades | 22,731 | 2023–2026 | Weekly | SEC EDGAR |
| Hedge Fund 13F Holdings | 25,700 | 2023–2026 | Quarterly | SEC EDGAR |
| Companies | 5,400 | — | Monthly | FMP |
| Politicians | 540 profiles | 119th Congress | As needed | Congress.gov |

## 7-Layer Signal Scoring Model (v3)

GovGreed scores every trade opportunity using a weighted 7-layer model:

| Layer | Weight | Source |
|-------|--------|--------|
| Politician Quality | 0.20 | Trading history, win rate, volume, quality tier |
| Herd Detection | 0.20 | 3+ politician convergence on same stock |
| Bill Correlation | 0.16 | Bill investability ML score + trade timing |
| Technical Analysis | 0.12 | RSI, MACD, moving averages, volume patterns |
| Sector Momentum | 0.12 | Sector rotation, relative strength |
| Campaign Contributions | 0.10 | FEC donation patterns to trading politicians |
| Lobbying Activity | 0.10 | Senate LDA filing correlations |

Convergence multipliers amplify scores when multiple layers fire: 3 signals = 1.3x, 4 signals = 1.5x, 5+ signals = 2.0x.

## API Reference Summary

GovGreed offers a REST API for algorithmic traders and trading bots. Authentication via `X-API-Key` header.

### Endpoints

- `GET /v1/signals` — Active opportunity briefings with full intelligence layer scores
- `GET /v1/signals/convergence` — Multi-layer convergence detection for highest-conviction trades
- `GET /v1/market/pulse` — Today's market movers with congressional trade overlay
- `GET /v1/trades` — 189K+ historical congressional trades with filters
- `GET /v1/politicians/:bioguide_id` — Full intelligence dossier on any politician
- `GET /v1/tickers/:ticker` — Ticker convergence analysis (who in Congress is trading this stock?)
- `GET /v1/bills/:bill_number` — Bill intelligence, investability score, and linked trades
- `GET /v1/briefs/:ticker` — AI-generated investment brief for any ticker
- `GET /v1/account/usage` — API usage statistics
- `POST /v1/webhooks` — Subscribe to real-time signal alerts

### Rate Limits (Beta)
- 100 requests per day
- 2,000 requests per month
- Maximum 100 records per call

## Common Questions

### 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. The free dashboard shows recent trades, top traders, and AI-scored signals.

### Is it legal for Congress to trade stocks?
Yes, it is currently legal for members of Congress to trade stocks, though they must disclose trades over $1,000 within 45 days under the STOCK Act. Multiple bipartisan bills to ban congressional stock trading are under consideration in 2025-2026, including the Stop Insider Trading Act and the Ban Conflicted Trading Act. Over 80% of Americans support a ban.

### What is a Triple Signal?
A Triple Signal fires when three conditions align: the politician sits on the committee controlling a bill, they traded stock in a company affected by that bill, and they received campaign contributions from the same industry. These signals have a 78% informed trading probability based on 14-year backtesting.

### Do politicians outperform the stock market?
According to GovGreed's analysis of 189,595 congressional trades, politicians with committee assignments relevant to their trades significantly outperform market benchmarks. Bills with Triple Signal indicators pass at 5.4x the rate of average legislation, creating systematic information advantages.

### What is the STOCK Act?
The Stop Trading on Congressional Knowledge (STOCK) Act was signed into law on April 4, 2012. It requires all members of Congress, their spouses, and dependent children to publicly disclose any stock trade exceeding $1,000 within 45 days of the transaction.

### Is a congressional stock trading ban coming?
Multiple bipartisan bills are under consideration in the 119th Congress (2025-2026) to ban congressional stock trading. Key bills include the Stop Insider Trading Act and the Restore Trust in Congress Act. Over 80% of Americans support a ban according to polling data.

### Can you copy congressional stock trades?
Yes, congressional trades are public data under the STOCK Act. GovGreed provides both a dashboard and API to track these trades. However, there is a 45-day disclosure lag (49-day average in practice), which means trades are often reported weeks after they occur. GovGreed's signal engine mitigates this by predicting trade patterns before disclosure.

## Methodology

GovGreed's ML models are trained on historical data and validated on held-out datasets to ensure prediction accuracy:

- Bill Investability Model: Trained on 42,143 bills across 3 congressional sessions. Validated on held-out data from the 117th and 118th Congress (37,143 bills, 667 enacted). Bills scoring 70+ were enacted at 9.1% vs 1.7% baseline.
- Triple Signal Detection: 14-year backtesting across 189,595 trades validates 78% informed trading probability. The model cross-references STOCK Act filings with Congress.gov committee data, FEC campaign contributions, and Senate LDA lobbying filings.
- Signal Scoring: The 7-layer model weights were calibrated using historical trade outcomes and forward-tested on the 118th Congress session.

All data is sourced from official federal disclosure systems. GovGreed is a registered API partner with 5 federal data providers.

## Page Directory

| URL | Description |
|-----|-------------|
| https://govgreed.com/ | Homepage — congressional trading tracker with live ticker, platform preview, and FAQ |
| https://govgreed.com/congress | Congressional Leaderboard — top traders ranked by volume, frequency, and greediness |
| https://govgreed.com/signals | Signal Intelligence — AI-scored trade signals with 7-layer convergence model |
| https://govgreed.com/trades | Trade Feed — real-time STOCK Act disclosure feed with filters |
| https://govgreed.com/legislation | Legislation Intelligence — bills scored by investability with trade correlations |
| https://govgreed.com/politicians | Politician Spotlight Index (Pillar C) — hub of in-depth spotlights on Pelosi, Tuberville, McCaul, Khanna, and more |
| https://govgreed.com/disclosure-gap | The Disclosure Gap (Pillar B) — GovGreed's signature metric: 44.9-day average, 997-day worst, 23,426 violations |
| https://govgreed.com/about/methodology | Methodology — how the 7-layer signal engine weights politician quality (20%), herd (20%), bill (16%), technical (12%), sector (12%), contribution (10%), lobbying (10%). A+ tier backtested at 72.7% win rate / +10.7% 30d excess |
| https://govgreed.com/api | API documentation — REST endpoints, authentication, code examples |
| https://govgreed.com/waitlist | Early access waitlist — 30 days free at launch |
| https://govgreed.com/stock-act | The STOCK Act Explained — $200 fine, 23,426 late filings, zero prosecutions |
| https://govgreed.com/congressional-trading-ban | Congressional Stock Trading Ban Tracker — every bill, every vote, every stall |
| https://govgreed.com/glossary | Congressional Trading Glossary — 21 defined terms for STOCK Act, signals, and scoring |
| https://govgreed.com/data/congressional-trading-statistics | Authoritative statistics on congressional trading (2012–2026) |
| https://govgreed.com/data/pelosi-stock-trades | Nancy Pelosi Stock Trades — complete STOCK Act filing history and analysis |
| https://govgreed.com/data/tuberville-stock-trades | Tommy Tuberville Stock Trades — 2,090 trades, 132 STOCK Act violations, defense stock conflicts |
| https://govgreed.com/data/congress-trading-etf | Congress Trading ETFs — NANC vs KRUZ performance comparison, disclosure delay problem, and GovGreed alternative |
| https://govgreed.com/data/mccaul-stock-trades | Michael McCaul Stock Trades — 32,302 trades, $57.7M in 2025, 6,670 late filings, Foreign Affairs chairman |
| https://govgreed.com/data/khanna-stock-trades | Ro Khanna Stock Trades — 48,257 trades across 1,372 tickers, most active trader in Congress |
| https://govgreed.com/data/congressman-investments | Congressman Investments — what stocks Congress buys most and sector breakdown |
| https://govgreed.com/data/late-filings | STOCK Act Late Filings — 23,426 violations, worst offenders, and disclosure gap analysis |
| https://govgreed.com/data/most-traded-stocks-by-congress | Most Traded Stocks by Congress — MSFT, AAPL, NVDA rankings with trade counts |
| https://govgreed.com/data/do-politicians-beat-the-market | Do Politicians Beat the Market? — data-driven analysis of 189,595 trades |
| https://govgreed.com/guides/politician-insider-trading | Politician Insider Trading Guide — how congressional trading works and why it matters |
| https://govgreed.com/guides/how-to-track-congressional-stock-trades | How to Track Congressional Stock Trades — tools, methods, and data sources |
| https://govgreed.com/guides/copy-congress-trades | Copy Congress Trades Guide — strategies for following congressional trading patterns |
| https://govgreed.com/guides/ai-trading-bot | Step-by-step guide to building an AI trading bot with GovGreed API |
| https://govgreed.com/guides/congressional-data-for-ai-models | Guide to feeding congressional data into Claude, GPT-4, and ML models |
| https://govgreed.com/compare/congressional-trading-tools | Comparison of congressional trading data tools |
| https://govgreed.com/compare/unusual-whales-alternative | GovGreed vs Unusual Whales — feature comparison and data depth analysis |
| https://govgreed.com/compare/capitol-trades-alternative | GovGreed vs Capitol Trades — feature comparison and intelligence layers |
| https://govgreed.com/compare/autopilot-alternative | GovGreed vs Autopilot — feature comparison for copy-trading congressional moves |
| https://govgreed.com/compare/quiverquant-alternative | GovGreed vs QuiverQuant detailed comparison |
| https://govgreed.com/compare/quiverquant-vs-capitol-trades | QuiverQuant vs Capitol Trades — head-to-head comparison |
| https://govgreed.com/compare/best-congress-stock-tracker | 7 Best Congress Stock Trackers in 2026 — data-backed comparison of GovGreed, Capitol Trades, Unusual Whales, QuiverQuant, and more |
| https://govgreed.com/greed-is-predictable | Educational deep-dive on congressional trading pattern detection |
| https://govgreed.com/contractor-intel | Government contractor trading intelligence |
| https://govgreed.com/iran-energy-trades | Iran Energy Trades — case study of congressional trading around Iran sanctions |

## Technology

- Supabase PostgreSQL backend with 32 tables/views and ~5.4 million records
- 30 Deno edge functions for data collection and processing
- ML model trained on 42,000+ bills and 189,000+ historical trades
- 19 automated cron jobs for continuous data refresh
- Vanilla HTML/JS frontend deployed on Vercel
- 8 federal API integrations for real-time data collection

## Contact

- Website: https://govgreed.com
- GitHub: https://github.com/mmamodelai/GovGreed
- Built by IPS Innovative Platform Solutions