Agent Layer

The Agent Layer encapsulates strategic and operational logic:

  • Agent Templates: Parameterizable blueprints representing common strategies (e.g., market‑making, momentum trading, arbitrage). Templates define input mappings, decision thresholds, and risk limits.

  • Workflow Engine: Rule‑based and event‑driven orchestrator that subscribes to AI outputs and data events, triggering agent actions via a DAG (Directed Acyclic Graph) scheduler.

  • Policy & Risk Module: Implements risk checks, position sizing algorithms, and safety rails to enforce capital constraints and regulatory requirements at runtime.

  • Logging & Auditing: Immutable event logs capture agent decisions, inputs, and outputs for compliance and post‑mortem analysis.

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