Technical Overview
NZT is built on a modular architecture that combines quantitative market models, AI agents, and supporting infrastructure. This section provides a high-level description of how the system is organized
Architecture Layers
1. Quantitative Engine
The foundation of NZT is a set of mathematical models and data pipelines.
Market Feeds – Live token data (price, liquidity, volume, & more).
Wallet Intelligence – Holder distributions, flow analysis, bundler/dumper detection.
Scoring Models – Rug-safety score, bundler score, and token health metrics.
2. Instructional Agents
The AI layer builds on top of the quantitative core.
Strategist – Combines chart prediction tools and wallet analysis.
Other Agents – Provide framing, reflection, and creative exploration.
Instructional Role – Agents interpret and structure data, but do not replace the quantitative outputs.
3. Platform Features
System-level features extend the usefulness of NZT.
Collective – Shared discussion space for corroboration.
Real-Time Integration – Continuous updates from live data feeds.
Adaptive Analytics – Models adjust as conditions change.
User-Centric Design – Interfaces built for clarity and accessibility.
Data Flow
Ingestion – Market and wallet data pulled from external APIs.
Processing – Data structured into normalized formats.
Model Application – Quantitative analysis applied (scoring, probability zones, pattern detection).
Agent Layer – AI agents interpret, reframe, or extend outputs.
User Presentation – Results displayed through charts, tables, and plain-language summaries.
Scalability
Cloud Infrastructure – Designed for horizontal scaling to handle large query volumes.
Real-Time Updates – Models update continuously as new inputs arrive.
Fault Tolerance – Built with redundancy for data pipelines and API integration.
Security
Data Handling – Market and wallet data handled in read-only mode.
User Privacy – No private wallet keys are required to use the system.
Access Control – Authentication layers manage user sessions.
User Interface
Web Application – Primary interface with charting, tables, and chat.
Mobile Support – Responsive design for smaller screens.
Integration Layer – Potential API endpoints for external access (future expansion).
Last updated