Analysis - 매출전망

엔진 역할

analysis engine application skill for the 매출전망 axis: 이 회사의 매출은 어디로 가며 재무는 어떻게 변하는가.

공개 호출 방식

import dartlab
c = dartlab.Company("005930")
result = c.analysis("매출전망", "매출전망")

호출 동작

Reads the Company financial/disclosure/market snapshot required for the 매출전망 axis. The guide reports 8 calculation items. Missing values are represented through flags, assumptions, dataAsOf, nulls, or empty history; they are not zero-filled.

대표 반환 형태

Returns a dict. Check items, history, displayHints, turningPoints, dataAsOf, assumptions, flags, _summary, tableRef, valueRef, dateRef, and executionRef-style evidence fields.

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.