Last Updated: June 2, 2026
Narrative regimes are not trends.
They are stable belief climates emerging from correlated market interpretations.
The System Role
This module defines how USOT identifies persistent interpretive structures across multiple markets.
A narrative regime represents a coherent belief field that persists over time, even as individual markets fluctuate.
What a Narrative Regime Represents
Directional bias of collective interpretation (bullish / bearish)
sentiment-vector
Degree of alignment between narratives, entities, and topics
coherence-field
Number of markets contributing to the regime structure
participation-density
Persistence and resistance to narrative fragmentation
stability-index
Regime Formation Dynamics
A narrative regime emerges when:
- multiple markets share dominant topics
- entities overlap across interpretations
- belief direction aligns across signals
- semantic coherence exceeds fragmentation threshold
At this point, GammaINDEX stops treating signals as independent.
It begins treating them as a single interpretive field.
Regime Physics (Hidden Mechanism)
Narrative regimes behave like physical systems:
- velocity → speed of narrative evolution
- coherence → internal alignment strength
- half-life → decay rate of belief stability
- reinforcement → amplification from neighboring regimes
- density → concentration of connected markets
These variables define whether a regime persists or collapses.
Regime Evolution Model
Regimes are not static objects.
They evolve through:
- merging of overlapping narratives
- splitting under semantic divergence
- reinforcement via neighboring graph density
- amplification through IR (interpretation routing) layers
Each regime is a temporary stable attractor in belief space.
Relationship to GammaINDEX
GammaINDEX does not only compute individual market states.
It detects when multiple states converge into a regime structure.
This transforms:
- isolated markets → connected belief clusters
- clusters → stable regimes
- regimes → macro interpretive systems
Relationship to USOT Graph System
Narrative regimes are higher-order nodes in the USOT system.
Where semantic states define nodes,
regimes define clusters of nodes behaving as one system.
They sit above:
- semantic states
- markets
- events
and describe macro belief structure evolution.
Relationship to Semantic State Layer
Semantic states define interpretation units.
Narrative regimes define interpretation ecosystems.
A regime is formed when:
multiple semantic states converge into a stable directional field
This is where micro-interpretation becomes macro-structure.
Final Principle
Narrative regimes are not predictions.
They are emergent stability zones inside the USOT interpretation graph.
USOT does not track markets.
It tracks how belief systems stabilize, merge, and decay over time.