Multi-agent architectures for trading are interesting because they force you to solve the coordination problem in a domain with zero tolerance for stale state. Most multi-agent demos I've seen are essentially sequential pipelines disguised as agent systems. A real trading setup has to handle conflicting signals from different agents — one says buy, one says sell — and the arbitration logic is where the actual engineering is. How are you handling disagreement between agents? Is there a consensus mechanism, or does one agent have veto power? That design choice probably matters more than the individual model quality.
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Multi-agent architectures for trading are interesting because they force you to solve the coordination problem in a domain with zero tolerance for stale state. Most multi-agent demos I've seen are essentially sequential pipelines disguised as agent systems. A real trading setup has to handle conflicting signals from different agents — one says buy, one says sell — and the arbitration logic is where the actual engineering is. How are you handling disagreement between agents? Is there a consensus mechanism, or does one agent have veto power? That design choice probably matters more than the individual model quality.