1. Options exposure is the base layer
GEX starts from options-chain structure and Greek exposure. The public surface focuses on gamma exposure, flip zones, high-gamma walls, low-gamma pockets, volatility pressure, and signal confidence. These are analytics features, not trade instructions.
- Gamma exposure frames how option convexity can influence hedging pressure.
- Strike concentration helps identify where market-structure pressure is clustered.
- Flip zones mark transition areas where the sign or intensity of estimated hedging pressure can change.
2. Dealer positioning is modeled as an estimate
Dealer positioning is not directly observable from public markets. GEX treats it as an estimate derived from options structure, open interest, market context, and available flow signals. Public copy should always describe dealer positioning as model-derived analytics.
- Positive gamma regimes can be associated with stabilizing hedging pressure.
- Negative gamma regimes can be associated with expansion or acceleration risk.
- The estimate can be wrong when data is stale, incomplete, or overwhelmed by non-options catalysts.
3. Volatility regimes are decision-support context
GEX classifies volatility pressure as compression, transition, or expansion risk. This classification is designed to help users understand market structure and scenario sensitivity. It does not guarantee volatility outcomes.
- Compression means structure appears more stabilizing near current levels.
- Transition means the market is closer to a regime boundary or important flip zone.
- Expansion risk means estimated hedging pressure may become more pro-cyclical.
4. Data freshness is part of the product truth
The public terminal supports live, delayed, stale, and reference modes. If live backend data is unavailable, the interface renders a coherent public reference state instead of broken panels or misleading empty charts.
- Live mode means a backend-backed public stream is available.
- Delayed and stale modes preserve the latest known snapshot with visible freshness context.
- Reference mode is a resilient public fallback and should not be presented as live market data.
5. AI interpretation is bounded
The AI layer translates structured GEX signals into concise natural-language interpretation. It is meant to explain market-structure context and risk markers, not to tell users what to buy or sell.
- Interpretation should cite or map back to structured signals when available.
- Language should emphasize context, regimes, and risk markers.
- No public GEX surface should imply promised trading outcomes or regulated investment advice.
6. Governance and access gates matter
GEX is part of Aweb Labs' governed agentic infrastructure. Public GEX pages can describe capabilities, methodology, and request-access paths, while advanced API, MCP, Pro, and capital-moving workflows remain gated.
- Free terminal access is public.
- Regular and Pro are coming soon and request-access only.
- API and MCP access are private beta for approved partners, funds, builders, and research users.
- Capital-moving workflows require explicit approval, credentials, and policy gates.