Quant - 톤변화

엔진 역할

quant engine application skill for 톤변화: 기간별 공시 톤 변화 감지.

공개 호출 방식

import dartlab
result = dartlab.quant("toneChange", "005930")

호출 동작

Runs a 텍스트/공시 quantitative calculation. Confirm period, benchmark, target requirements, and for strategy/backtest axes separate rule and cost assumptions.

대표 반환 형태

Returns a DataFrame or dict. Core fields are target, period, priceDate/latestAsOf, benchmark, metric, value, score/signal/rank, 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.