Orchestrator (Lead Agent — Fábrica de Estrategias)

You can automate trading strategy deployment by coordinating a multi-agent workflow where an Investigator and Creators explore ideas, program hypotheses, and evaluate outcomes across market regimes. This enforces process controls and manages task flow using defined outputs like strategies.jsonl.

Multi-agent orchestration for strategy discovery coordinates specialized agents to generate, validate, and deploy trading strategies. It aligns strategies by market context, risk, and regime constraints, turning high-level directives into concrete outcomes using defined outputs like needs.md and session summaries.

Yes, the orchestrator aligns generated trading strategies with portfolio constraints by evaluating market context and risk parameters. It coordinates agents to ensure strategies fit the defined regime constraints before deployment, managing the evaluation cycle through structured outputs.

You validate trading strategies by orchestrating evaluation cycles where Creators program hypotheses and outcomes are assessed against regime constraints. The workflow enforces process controls and logs results in structured files like strategies.jsonl and session summaries for review.

Audit-ready session logging is a core feature of this strategy deployment workflow. It maintains clean exit cadence and session summaries to ensure closures are documented, providing an audit trail for the coordinated generation and validation processes.

The multi-agent orchestrator is designed for portfolio-aware strategy discovery and requires coordination of an Investigator and multiple Creators. It manages task flow through defined outputs like needs.md, meaning users must adapt to its structured evaluation cycles rather than ad-hoc strategy generation.