What This Demo Proves

This is the Axiomyx Platform in action — runs a scheduled decision loop, and executes automated trading decisions with a full audit ledger. No human intervention. No guesswork.

ZCM is our custom mathematical model for reading structure, stability, harmonic boundaries, and collapse risk in noisy data.

What the automated ZCM system calculates

• Live market price
• ZCM phase state
• Collapse risk
• Harmonic top / target mean / harmonic bottom
• ZCM stability
• News pressure
• Risk state
• Open-position state
• Ledger state

What the automated execution layer does

• BUY
• SELL
• HOLD
• CLOSE
• STAND DOWN

GBP/JPY — 4-Layer AI Agent

This panel shows the next-generation Axiomyx agent operating on GBP/JPY with a $1,000 starting paper balance.

It adds a Claude AI layer on top of the ZCM math engine — but the AI only acts as a gate. It cannot override the math or the risk controls.

The 4 Layers

• Layer 1 — ZCM Math: Phase stability, harmonic boundaries, collapse risk. Fully deterministic.
• Layer 2 — Risk Gate: Dynamic stop loss (price × 0.00045), trailing stop, hard stop, phase-based close. Pure code.
• Layer 3 — AI Gate: Claude reads the full ZCM state and decides TRADE or WAIT. It cannot change the math.
• Layer 4 — Ledger + Learning: Every decision is recorded with full state snapshot. AI reads its own history to improve future decisions.

Why GBP/JPY?

GBP/JPY is one of the most volatile major pairs — larger moves, higher noise, more chop opportunities. It is a harder environment and a stronger proof of the ZCM engine's discipline.

Week 1 — Local tracking

The agent runs privately for one week first. It learns from its own ledger before going public. That is the right way to build confidence in a live system.