The project outgrew the insider-dashboard framing.
What started around insider activity became a broader market review desk once volatility, credit, breadth, positioning, macro, and lawmaker disclosures all proved useful as supporting context.
Market Intelligence
A market-regime desk that brings quick stress checks, slower confirmation layers, lawmakers activity, and watchlist context into one static review surface.
What started around insider activity became a broader market review desk once volatility, credit, breadth, positioning, macro, and lawmaker disclosures all proved useful as supporting context.
Daily stress gauges, weekly sentiment, monthly regime studies, event-driven lawmaker disclosures, and ticker-level watchlist setups all carried useful context, but they were scattered across too many separate views.
Collection Pipeline
Scheduled Python collectors write market studies, watchlist state, and lawmaker disclosures into committed JSON snapshots. The walkthrough below shows how the GitHub Pages dashboard turns mixed-cadence inputs into one static market desk.
Inputs
Preparation
Scoring / Context
Outputs
Decision
GitHub Actions runs separate collectors for stress studies, macro and breadth regimes, historical insider context, watchlist price state, and House trading disclosures, then the single-page frontend assembles those datasets into one static dashboard.
The project now treats insider activity as one slower confirmation layer inside a wider operating surface that includes volatility, credit, positioning, macro, lawmakers, and watchlist workflows.
Some sources still depend on scrapers, browser fallbacks, or incomplete coverage, and the dashboard remains constrained by the uneven cadence of public market and disclosure datasets.
The next improvement is tightening how fast indicators, slower regime evidence, lawmakers activity, and watchlist targets roll up into one sharper opportunity or caution read.