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.

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Data Flow

1. Ingestion – Market and wallet data pulled from external APIs.

2. Processing – Data structured into normalized formats.

3. Model Application – Quantitative analysis applied (scoring, probability zones, pattern detection).

4. Agent Layer – AI agents interpret, reframe, or extend outputs.

5. User Presentation – Results displayed through charts, tables, and plain-language summaries.

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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.

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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.

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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).