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Mira Examples

The cases/ directory contains historical examples that demonstrate how Mira packages research outputs. They are examples of workflow structure, not live investment recommendations.

  • not_investment_advice: true
  • default_case_status: historical_example
  • refresh_required_before_use: true

Recommended Reading Order

  1. cases/aapl-2026-04/ Standard single-equity research package. Start here to understand the basic investment-memo.md, case-notes.md, and evidence-log.csv structure.

  2. cases/cohr-2026-05/ Earnings event package. Use this to understand earnings-analysis.md, financial-snapshot.csv, peer-comparison.csv, and thesis-impact handling.

  3. cases/abf-2026-05/ Industry concept package. Use this to understand one-page industry maps, value-chain mapping, company shortlists, and source-backed industry claims.

  4. cases/etf-discovery-2026-05-09/ ETF listing discovery package. Use this for screening and prioritizing new product launches before deeper analysis.

  5. cases/etf-listing-analysis-2026-05-09/ ETF listing analysis package. Use this for issuer-intent, exposure-map, mechanism, and follow-through analysis.

  6. cases/wolf-2026-05/ Event-driven micro/small-cap package. Use this to see strategic-catalyst and macro overlays combined with stricter evidence downgrades.

  7. cases/a-share-etf-options-underlyings-2026-05-26/ Cross-ETF underlying map for A-share option underlyings.

  8. examples/routing-examples.md Golden routing cards for ambiguous prompts (预期差 research vs trade sense, interaction_mode vs depth_mode, knowability terminal, compound intent). Use as few-shot references and as a validated regression fixture for loops/analysis-routing.md.

  9. examples/routing-json-examples.md Schema-backed routing examples. Use this to see the canonical routing.json machine artifact and the depth-scaled visible routing card rendered from it.

How To Reuse A Case Pattern

  1. Pick the closest package type from templates/.
  2. Copy the template files into a new cases/<slug>-<yyyy-mm>/ directory.
  3. Fill out metadata first: market, research object, cutoff date, thesis horizon, source boundary, and refresh condition.
  4. Build the evidence log before treating a conclusion as durable.
  5. Write facts, inferences, and judgments as separate sections or clearly labeled paragraphs.
  6. Add not_investment_advice: true to the case README.

Run validation before publishing:

python3 scripts/validate_repo.py