From consumer-facing trackers to API-first signal platforms — here's how the available tools stack up for traders, quants, and researchers.
Congressional trading data is now widely available — but most tools stop at STOCK Act disclosure aggregation. The gap is in the cross-reference layer.
| Feature | GovGreed | Consumer Trackers | Alt Data Platforms | Inst. Terminals |
|---|---|---|---|---|
| STOCK Act trade data | ✓ 189K+ trades | ✓ | ✓ | partial |
| REST API access | ✓ Alpha/Waitlist | ✗ No API | ✓ Paid plans | proprietary |
| Bill ML investability score | ✓ 42K bills, 5.4× validated | ✗ | ✗ | ✗ |
| Triple Signal detection | ✓ 752 active signals | ✗ | ✗ | ✗ |
| SEC Form 4 exec buy cross-ref | ✓ 22,731 trades mapped | ✗ | raw data only | partial |
| Exec Flock Signal (consortium buy) | ✓ 10yr history | ✗ | ✗ | ✗ |
| Committee markup calendar | ✓ 17,104 meetings | ✗ | ✗ | some |
| Campaign contribution layer | ✓ FEC registered API | ✗ | ✗ | ✗ |
| Lobbying cross-reference | ✓ Senate LDA API | ✗ | ✗ | ✗ |
| Historical depth for backtesting | ✓ 2012–present | varies | varies | ✓ |
| Official federal API registrations | ✓ 5 agencies | ✗ | some | some |
| Access model | Waitlist · 30 days free | Free / freemium | Paid subscription | Enterprise license |
STOCK Act data is the starting point. The signal comes from what you cross-reference it with.
Fires when a committee member has (1) oversight of a bill, (2) traded stock in an affected company, and (3) received campaign contributions from that industry. 752 active signals. Validated at 5.4× pass rate vs medium bills.
ML model trained on 42,143 bills across 3 congressional sessions using 25 features. Bills scoring ≥70 are enacted at 9.1% vs 1.7% for medium-tier. Every bill scored, ranked, and queryable by API.
Consortium buy detection. Ranks C-suite buyer headcount across 22,731 Form 4 transactions. Cross-referenced with private professional databases (LinkedIn profiles, social media, enriched SEC filings) to validate officer identity and detect coordinated positioning. Separates PE fund exits from genuine C-suite conviction. 10 years of history — was this CEO right the last time they loaded up?
SEC Form 4 cross-referenced with congressional vote calendars. Timing score based on days before vote, position size, and officer status. When a CEO buys $2M of stock 41 days before a vote on legislation affecting their company — that's not coincidence.
17,104 committee meetings tracked with bill linkage. Markup alerts cross-referenced with Triple Signal and investability scores. The markup is the last stop before a floor vote — usually 4–21 days of advance notice.
188,695 historical congressional trades back to 2012 via officially registered data channels. Shared with consumer trackers and alt data platforms — this is the baseline, not the differentiation.
Broad alternative data platforms include congressional trades as one data category among dozens. For traders who care primarily about the congressional signal, that means the cross-reference work — matching trades to committee assignments, bill text, lobbying activity, and campaign contributions — isn't done for you.
GovGreed is built exclusively around one thesis: congressional insiders have informational advantages, and those advantages leave paper trails across multiple public disclosure systems. The five signal types aren't five separate features — they're five legs of the same table. A Triple Signal requires all three legs simultaneously. The ML model is trained on all five data layers.
The other thing that's genuinely hard to replicate: 10 years of Form 4 history in a queryable database. Any screener can show you what a CEO bought last week. Very few can answer "has this CEO reliably bought ahead of favorable legislation before?" That's what a decade of enriched, bill-linked exec trade data enables.
Congressional members have 45 days after a trade to file their STOCK Act disclosure — which means the data is inherently lagged. This is true across all congressional trading platforms. GovGreed's approach to this is to surface the signals that are forward-looking: the committee markup calendar (scheduled, usually 4–21 days before a floor vote) and exec pre-vote buys (which lag 2 days, not 45). The congressional trade data is valuable for pattern identification and backtesting, not front-running individual disclosures.