Macro - 시나리오

엔진 역할

macro engine application skill for 시나리오: 역사적 충격 재현 + 유형별 스트레스 (~146개 프리셋).

공개 호출 방식

import dartlab
result = dartlab.macro("scenario", market="KR")

호출 동작

Reads market-level data for 제6막: 앞으로 어떻게 되나 and computes signals, regimes, and limitations. Company-level financial interpretation belongs to analysis.

대표 반환 형태

Returns a dict or DataFrame-like result. Core fields are market, latestAsOf/date, indicator, value, unit, signal/regime, score, source/basis, assumptions, and flags.

기본 실행 순서

1. target, period, and source data are fixed first.
2. Run the public call exactly as documented.
3. Check latestAsOf/date, missing values, flags, and assumptions.
4. Bind numeric claims to tableRef/valueRef/dateRef/executionRef.
5. Hand off multi-axis narrative composition to story or the parent report skill.

기본 검증

This skill is a public execution document. If this axis call, representative return keys, error behavior, or runtime limits change, update this file in the same change.