Historically grounded signal research

Congressional trading signals, measured against what happened next.

Regulus Analytics LLC is developing a daily research platform that evaluates Congressional trading activity alongside corporate-insider transactions, lobbying, government contracts, signal persistence, and benchmark-relative historical outcomes.

Private beta in development

A preview of the research

Illustrative Historical Research Snapshot

MELI

Congressional activity reinforced by supportive corporate-insider evidence

Illustrative historical research snapshot. Live research is generated while signals are still evolving and updated as new evidence becomes available.

The metrics below illustrate the historical evidence included in Regulus research reports.

63.1 Research Conviction

Building Conviction Insider Confirmation Historically Positive Cohort Monitoring Phase

Supporting insider transactions 7

Buy-side vs sell-side filings 3 vs 0

Aggregate insider purchase value $1.19M

Comparable historical signals 21 prior observations

Historical benchmark outperformance 57.1% (12 of 21)

Median 10-day excess return vs. benchmark +2.93%

Independent evidence reinforces the congressional trading signal through corroborating corporate-insider activity and historically comparable market outcomes.

Across 21 historically comparable observations, the median 10-day excess return versus the benchmark was +2.93 percentage points, and 12 of 21 observations outperformed their benchmark. These historical comparisons illustrate the type of evidence Regulus research uses to evaluate new signals as they emerge.

What Regulus evaluates

Evidence strength

Whether a political-trading pattern is reinforced by insiders, lobbying, contracts, or other independent evidence.

Historical timing

When comparable signal states historically tended to outperform, fade, or become too mature for a new research entry.

Outcome distributions

Median benchmark-relative returns, outcome ranges, outperformance rates, sample sizes, and confidence labels.

Research discipline

Built to reduce hindsight bias

Historical research is reconstructed using point-in-time evidence controls. Supporting data is audited against the date on which it would have been available rather than simply using what is known today.

Benchmark-relative alpha research
Point-in-time evidence auditing
Distinct-signal sample counts
Historical opportunity windows
Outcome ranges rather than single forecasts
Daily archived research snapshots

The full research platform is in active private beta development.

Regulus is preparing a private beta featuring daily conviction briefings, signal-detail research, historical trade profiles, monitoring lists, and archived signal histories.

Learn more about our methodology →