Head-to-Head Feature Comparison Every major feature across all three platforms, compared side by side
| Feature | QuiverQuant | Capitol Trades | GovGreed |
|---|---|---|---|
| Total Trades TrackedSTOCK Act disclosures (Senate + House) | 100K+ | 150K+ | 189,595 |
| Signal ScoringQuantitative score per trade | — | — | ✓ 7-layer (0-100) |
| Bill-Trade CorrelationsTrade timing matched to legislative action | — | — | ✓ 256,112 |
| ML PredictionsForward-looking trade probability | — | — | ✓ 819 active |
| Herd Detection3+ politicians converging on same ticker | — | — | ✓ 31 active signals |
| AI ChatbotNatural-language querying over trades | — | — | ✓ 10+ tools |
| REST APIProgrammatic JSON access | Limited Paid plans | — | ✓ Full (30-day free) |
| Campaign Money TrackingFEC contributions matched to trades | — | — | ✓ 565 patterns |
| Lobbying PatternsLDA filings cross-referenced with trades | — | — | ✓ 2,101 patterns |
| Individual Politician PagesPer-member trading profile | ✓ | ✓ | ✓ |
| News / AlertsContent and notifications | Auto-generated | 2-3 articles/mo | Weekly updates |
| Options FlowCongressional options tracking | — | — | — |
| Broad Market DataGov contracts, ETF flows, etc. | ✓ Contracts, ETFs, etc. | — | — |
| Institutional CredibilityMedia citations and track record | Good | Best (WSJ/NYT) | Growing |
| Mobile AppNative iOS/Android app | — | — | — |
| PricingStarting cost | Free + $25/mo | Free | Free + $24.50/mo Founders |
Platform Profiles A fair look at what each tool does well, where it falls short, and who it's built for
QuiverQuant: Broad Alternative Data
Strengths
- Widest data coverage — government contracts, lobbying disclosures, ETF flows, Wikipedia trends, patent data, and congressional trades all in one dashboard
- Large community — 415K+ Twitter followers and Stocktwits partnership bring real-time discussion
- Free tier — basic access to multiple alternative data categories without paying
- API access — paid plans provide programmatic access to their data feeds
Weaknesses
- No intelligence layer — raw data only, no scoring, no predictions, no cross-dataset correlation
- Auto-generated content — news and analysis are machine-produced with limited editorial oversight
- Congressional trading is one tab of many — depth is sacrificed for breadth
- URL encoding issues — some users report broken links and navigation quirks
Best For
Users who want broad alternative data across many categories — not just congressional trading. If congressional trades are one input in a larger multi-factor model, QuiverQuant's breadth is a strength.
Capitol Trades: Institutional Standard
Strengths
- Longest track record — operated by 2iQ Research since 2002, predating every competitor
- Media credibility — cited by the Wall Street Journal, New York Times, and other major financial outlets
- Clean UI — focused, no-frills interface purpose-built for browsing congressional filings
- Free access — core data is available without a subscription
Weaknesses
- Zero intelligence layer — no scoring, no ML, no cross-referencing with bills, lobbying, or campaign money
- No API — data is only available through the web interface, ruling out programmatic consumption
- Minimal content — 2-3 articles per month, no AI chatbot, no real-time alerts
- Weak social presence — limited community engagement compared to QuiverQuant and newer platforms
Best For
Journalists, academic researchers, and compliance teams who need a credible, established source for raw STOCK Act filings. If your use case is "verify what a politician traded" rather than "should I trade on this," Capitol Trades is the standard.
GovGreed: 7-Layer Intelligence Engine
Strengths
- 7-layer signal scoring — politician quality, herd detection, bill-trade correlation, technical analysis, sector momentum, campaign money, lobbying alignment. Every qualifying trade gets a composite 0-100 score
- ML predictions — 819 active predictions from 4 engines (committee markup, recurring patterns, signal bridging, bill correlation), covering 76 politicians
- AI chatbot — natural-language queries with 10+ tools that cross-reference trades, bills, signals, and predictions in real time
- REST API — 30 endpoints returning JSON, with 30-day free trial for waitlist members. Python and JavaScript examples included
- Deepest correlation data — 256,112 bill-trade correlations, 2,101 lobbying patterns, 565 campaign money patterns
Weaknesses
- Newer platform — does not yet have the institutional credibility or media citation history of Capitol Trades
- Smaller community — growing user base but not yet at QuiverQuant's scale
- No broad market data — focused exclusively on congressional trading intelligence. No government contracts, ETF flows, or Wikipedia trends
- Signal scoring requires meaningful trade size — only trades with midpoint above $50,000 receive full 7-layer scores (61 politicians covered)
Best For
Active traders and algo builders who want scored intelligence and predictions — not just raw filings. If your question is "which congressional trades are most likely to be profitable and why," GovGreed is the only platform that attempts to answer it.