Market-universe triage
The dashboard can compare broad universes and pull reported insider activity into a smaller research queue.
Insider activity research terminal
Hamilton Insight
A research terminal for sorting insider activity before it becomes noise.
Project story
Why it exists.
Hamilton Insight is the strongest finance iteration because it has both the terminal feel and the data workflow shape. S&P 500 and Russell 3000 views, insider flow, sector heat, scoring, and transaction tables all sit in one place.
The product is framed as research software, not a trading signal machine. Insider sales and purchases need context, so the interface leaves room for filing notes, ownership changes, transaction type, and analyst review.
As a portfolio piece, it shows comfort with dense financial information, domain-specific labels, and the kind of restraint a serious market tool needs.
Direction
How the idea becomes usable.
Signal scoring with context
Scores, role filters, volume, momentum, and ownership changes help prioritize filings without pretending one number tells the whole story.
Compliance-aware framing
The copy treats the product as research support. It avoids presenting demo data or AI notes as financial advice.
Build notes
Technical infrastructure.
Build Signals
fintech / OpenInsider / market data
Working Surface
Fintech dashboard for OpenInsider and market-universe signals
Current Stage
Built-out fintech dashboard prototype
Hosting Path
The interface shell can host as a static front end, while real data, auth, import/export, and private records would move behind serverless routes or a managed backend.
