Intelligence · Component · investment-research-qa

Evidence-grounded investment Q&A

Working Synthetic data T2 · Vector Space & Ranking

What it does

Assemble normalized asset, disclosure and intelligence context for research questions and replay insights with provenance and trust assessments.

Core pattern

Selected entities and evidence assembly + traceable answers

Input
Research question and selected assets/evidence
Output
Structured answer, citations and trust metadata

Key parameters

NameTypeDefaultValues
questionstring——
symbols———
context_filters———
artifact_session_references———
model———

Maturity and limits

Working

Research/context/evidence services with isolated tests; deterministic fallback supported. Static source inspection only; no runtime, provider, deployment or test-pass claim.

No project license found. External market/news data have licensing, rate-limit and availability constraints. Research only: no trading execution. Backtests can be biased and cross-asset semantics vary. Static inspection; tests not run.

Industry tags

  • FinanceSource-supported industry

    For work involving research materials and financial service operations, use selected entities and evidence assembly followed by traceable answers.

  • Legal servicesTransferable use

    For ongoing research into case issues and regulatory materials, use selected entities and evidence assembly followed by traceable answers.

Skills pack

Contract scaffold and deterministic mock

Download · 10KB

SHA-256 aff4c383bed3e96b73afdd22f1352f5f466df36c462487ce115c8c4125b1d040

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