DSA orchestrates evidence-aware stock research across six regional markets

The framework separates evidence collection, model routing, specialist opinions, synthesis, and risk controls while explicitly surfacing missing capabilities and disagreement.

Independent
Linsen Zhu · Yi Shi
Research Digest··2 min read

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DSA is an evidence-aware orchestration framework for multi-market stock research with LLM agents.

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DSA is an orchestration framework that structures the workflow of LLM agents for stock research. It handles evidence acquisition, structured context, model-routed analysis, optional role and Strategy Skill reasoning, and report generation.

The framework includes two profiles: a default report profile and an agentic profile with additional safeguards. The agentic profile uses role-specific parsers and signal-eligibility partition for Strategy Skill opinions, with explicit disagreement provided to a decision agent.

The reference implementation covers six regional markets and fifteen Strategy Skills. A snapshot passed 1,457 offline contract tests, with 596 mapped to contract families, establishing implementation conformance. The paper does not claim superior report quality or investment returns.

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