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Mission & Vision

The Tribunal is an orchestration framework for autonomous multi-agent decisions. Financial markets are the proving ground — not because finance is the end goal, but because markets are unforgiving. There is no partial credit: outcomes either confirm a decision or expose a failure.

High-frequency, unambiguous feedback makes markets an ideal stress test for decision architecture. Each cycle can produce labeled examples from market-verified outcomes without human annotation.


The product is not a single trading strategy. The product is the orchestration layer: the mechanisms that let deterministic systems, model governors, verification tools, and institutional memory interact without collapsing into one unchecked black box.

Core properties:

Role separation. Trading engines produce auditable target outputs. The King owns allocation and sizing intent. Prophet and Canon layers provide verified context and institutional memory. The Sentinel watches regime and capital danger. The executor owns final dollars and risk constraints.

Earned seats. No agent or subsystem holds a permanent position. Performance gates and identity gates decide who advances. A component that cannot demonstrate measured contribution is a liability, not an asset.

Institutional memory. The Canon survives model replacement. Verified decisions, validated principles, and rejected claims are preserved even as specific adapters are retired.

Natural selection over hand-tuning. The long-term architecture moves promotion from manual taste toward challenger systems, regime ledgers, and market-confirmed fitness.


The current doctrine is The Inversion: traders are Python; the tribunal governs. The original LLM signal seats are retired from the critical path and preserved as origin history. They did what the law demanded: submit to measurement.

The active public architecture is:

  • Reversal Engine as daily target generation.
  • Carry Engine as the next deterministic build path.
  • Trend Engine as a longer-horizon path gated before construction.
  • King as capital allocation governor.
  • Prophet as verified context and structured counsel.
  • Sentinel as regime and capital-danger conscience.

The LLM seats do not receive authority by mythology. They earn it by improving paired results over deterministic controls. If they do not improve the measured result, Python keeps the job.


The Canon is the written form of institutional memory. It records architecture, phase logic, operational law, and verified lessons. When support docs disagree, CANON.md wins.

The Canon grows only when the truth layer agrees. An LLM observation cannot write law unilaterally; computed outcome is law and advisory interpretation is context until proven otherwise.


The long-term vision is Ancestral Tribunals: each generation trained or governed by verified outcomes from predecessors. The institution learns while individual models remain mortal.

No single model decides. No single cycle is the answer. The architecture is the answer.