INTUE m3

INTUE Meta Agent

Overview

The INTUE Meta Agent specializes in forecasting market shifts through narrative analysis and causal relationship identification. This agent processes market, social, and on-chain data to detect emerging narratives before they manifest in price action.

const metaAgent = new MetaAgent({
  forecastHorizon: '14d',  // Forecasting window
  narrativeThreshold: 0.65,  // Minimum confidence for narrative identification
  causationAnalysis: true,  // Enable causal relationship modeling
  temporalResolution: '4h'  // Analysis granularity
});

Narrative Analysis Methodology

The Meta Agent implements a sophisticated approach to narrative detection and forecasting:

1. Semantic Cluster Identification: Groups related discussions and on-chain activities

2. Causal Graph Construction: Maps relationships between events, narratives, and price movements

3. Narrative Amplification Tracking: Measures the growth and adoption of specific narratives

4. Counter-Narrative Analysis: Identifies potential challenges to dominant market stories

Narratives undergo rigorous validation through:

• Historical pattern matching

• Sentiment corroboration

• Volume and engagement analysis

• Institutional positioning assessment

Key Functions

analyzeNarrativeFormation()

const narratives = await metaAgent.analyzeNarrativeFormation({
  ecosystems: ['ai', 'layer1', 'gaming'],
  minimumStrength: 0.6,
  emergingOnly: true,
  includeCounterNarratives: true
});

Identifies forming narratives across specified ecosystems, returning detailed analysis of strength, potential impact, and estimated timeframes.

forecast()

const forecast = await metaAgent.forecast({
  asset: 'ETH',
  horizon: '7d',
  confidenceInterval: 0.9,
  factors: ['narrative', 'technical', 'onchain', 'macro']
});

Generates probabilistic forecasts for specified assets based on narrative analysis and supporting factors.

Integration Capabilities

The Meta Agent integrates with other INTUE agents to enhance their effectiveness:

• Momentum Agent Enhancement: Provides narrative context for momentum signals

• Arbitrage Agent Support: Identifies narrative-driven correlation breakdowns

• Risk Management: Assesses narrative-based risk factors for position sizing

// Enhance momentum analysis with narrative context
const enhancedSignals = await metaAgent.enhanceMomentumSignals({
  signals: momentumSignals,
  narrativeAlignment: true,
  counterNarrativeRisk: true
});

Development Status

The Meta Agent is currently in final integration phase with an anticipated release in Q3 2025. Current performance metrics from beta testing:

• Narrative identification accuracy: 76%

• Forecast directional accuracy: 68% (7-day horizon)

• Average lead time: 2.3 days before mainstream recognition

• Projected alpha generation: +11.3% against benchmark