Demand Intelligence — Gemral Edge
Where attention is concentrating next
Demand Intelligence shows where search and capital attention is concentrating next, derived from public demand signals and from how comparable shifts in attention have resolved before. It is a forward-leaning surface, but it answers a different question from the event calendar: not which scheduled events are due, but where interest itself is building and moving, often before any single event crystallises it.
Attention as an early stream
Attention frequently moves ahead of the events that later explain it. By reading public demand signals and mapping them to companies and themes, the radar surfaces where interest is accelerating while it is still early, and it uses resolution precedents to give that acceleration context rather than treating every spike as equal. The result is a view of demand as its own independent stream, one that can converge with contracts, trades and hiring on the same name and strengthen a broader signal, and one that sometimes moves before any of those harder disclosures appear.
How demand differs from prediction
The predictive radar tracks dated, scheduled events; Demand Intelligence tracks the flow of attention that can precede them. Reading the two together answers both what is coming on the calendar and where interest is already heading, which are genuinely different questions and often point at different names. Demand is built from public demand and attention data mapped to companies and themes, presented as a data signal with a transparent methodology, never as a buy or sell recommendation, and nothing shown is investment advice.
Market Attention & Event Probability Forecasts
Leading consensus expectations and event probability distributions derived from public prediction markets, regulatory dockets, and legislative filings:
| Catalyst Domain | Market Instrument / Docket | Current Market Consensus | Primary Asset & Industry Impact |
|---|---|---|---|
| Monetary Policy & Interest Rates | FOMC Target Rate Probability Distributions | Terminal rate bounds & easing timing | Valuation multiples across high-duration tech equities |
| Congressional Chamber Control 2026 | Senate & House Majority Prediction Markets | Partisan margin & committee transitions | Defense appropriations and corporate tax statutory stability |
| Semiconductor Export Control Regulations | BIS Regulatory Rulemakings & Federal Register | Tightened compute threshold parameters | AI accelerator supply chains and global foundry allocations |
| Critical Mineral Domestic Stockpiling | Defense Logistics Agency Procurement Dockets | Strategic domestic supply guarantees | Long-term contracts for domestic lithium and rare earth miners |
| Federal AI Governance & Procurement Rules | OMB Agency Directives & NIST Risk Frameworks | Standardized security certification gates | Market penetration rates for enterprise federal software vendors |
Related intelligence
Everything on Gemral Edge is derived from public records and presented as a data signal with a transparent methodology, never as a buy or sell recommendation. Nothing here is investment advice, and no output is personalised to your circumstances.
Frequently asked questions
What does Demand Foresight track across prediction markets?
Demand Foresight aggregates observable public contract prices and trading volumes across regulated platforms like Kalshi and decentralized markets like Polymarket, displaying real-time market probability distributions.
What is Demand Intelligence?
It shows where search and capital attention is concentrating next, derived from public demand signals and how comparable attention shifts resolved in the past.
How is demand different from predictive events?
Predictive tracks scheduled events; Demand tracks where interest is flowing before a specific event, so the two answer different questions about what is next.
What sources feed demand signals?
Public demand and attention data mapped to companies and themes, organised into a signal — never private analytics or paywalled datasets.