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QuantEngineByItz/spec/25_canonical_metrics_registry.yaml
T
kjh2064 ee3e799de1 feat: 리밸런싱 엔진 V1 + GAS 버그 수정 (2026-06-13)
주요 변경:
- tools/build_rebalance_engine_v1.py: REBALANCE_ENGINE_V1 신규
  * account_snapshot 직접 합산(_build_snap_position_map) → 소수주 분리 행 병합
  * 레짐 소스 macro.REGIME_PRELIM 최우선 (GAS 와 동일)
- src/gas_adapter_parts/gdf_06_rebalance.gs: runRebalanceSheet_() 신규
  * Logger.log / getSpreadsheet_() 로 run_all 연동 수정
- src/gas_adapter_parts/gdc_01_fetch_fundamentals.gs
  * _mergePositionRecord_(): 소수주 중복 행 합산 신규
  * parseInt → parseFloat (qty, availQty)
- src/gas_adapter_parts/gdf_01_price_metrics.gs
  * 미보유 종목 SELL_READY → WATCH_EXIT_SIGNAL
- spec/41_release_dag.yaml: build_rebalance_sheet 노드 추가 (step_count 63)
- spec/51_formula_lifecycle_registry.yaml: REBALANCE_ENGINE_V1 등록

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-13 13:20:14 +09:00

350 lines
15 KiB
YAML

# Canonical Metrics Registry V1
# 목적: 같은 논리 지표를 여러 JSON 객체/키에서 읽는 "단일 진실원천 부재" 버그를 방지.
# 각 metric_id는 canonical_source 하나에서만 읽어야 하며,
# 렌더러(render_operational_report.py)는 build_canonical_metrics_v1.py가 산출한
# Temp/canonical_metrics_v1.json을 통해서만 이 값을 조회한다.
#
# 변경 정책 (spec/06_exit_policy.yaml Surgical Update와 동일):
# - canonical_source 변경 시 consumers 전부 업데이트 확인 필수
# - tolerance_abs: 두 원천 값이 이 차이 이내면 일치로 간주 (교차섹션 정합성 검사용)
formula_id: CANONICAL_METRICS_REGISTRY_V1
version: "2026-05-29"
# ─────────────────────────────────────────────────────────
# 스칼라 지표 (per_ticker: false)
# ─────────────────────────────────────────────────────────
metrics:
cluster_pct:
description: 반도체 클러스터(삼성전자+SK하이닉스+KODEX반도체) 합산 비중(%)
canonical_source: semiconductor_cluster_json.combined_pct
fallback_sources:
- mandatory_reduction_json.cluster_pct
- cluster_sync_result_json.cluster_pct
consumers:
- cluster_sync_audit
- portfolio_structure_risks
- mandatory_reduction_plan
tolerance_abs: 0.05
unit: percent
notes: >
cluster_sync_result_json.cluster_pct=0 버그가 있음.
mandatory_reduction_json.cluster_pct=62.79는 소수점 반올림 차이이므로 tolerance 허용.
canonical = semiconductor_cluster_json.combined_pct(62.93).
cash_min_required_krw:
description: 현금 최소 필요액(원) — cash_floor 확보를 위한 최소 매도 필요 금액
canonical_source: cash_recovery_display_json.min_required_krw
fallback_sources:
- cash_shortfall_min_krw
- trim_plan_to_min_cash_json.cash_shortfall_min_krw
consumers:
- exec_safety_declaration
- cash_recovery_plan_crdl
- single_conclusion
- QEH_AUDIT_BLOCK
tolerance_abs: 0
unit: krw
notes: >
cash_shortfall_json 객체가 None이므로 cash_shortfall_json.cash_shortfall_min_krw 읽기 불가.
harness_context 최상위 cash_shortfall_min_krw=39797073이 대안이나,
canonical = cash_recovery_display_json.min_required_krw(39797073).
cash_reference_total_krw:
description: 현금확보 전체 후보 누적 금액(원) — 주문 아님, 참고용
canonical_source: trim_plan_to_min_cash_json.total_plan_krw
fallback_sources:
- cash_recovery_display_json.reference_total_krw
consumers:
- cash_recovery_plan_crdl
tolerance_abs: 0
unit: krw
notes: >
cash_recovery_display_json.reference_total_krw=0(미산출).
올바른 원천 = trim_plan_to_min_cash_json.total_plan_krw(227,868,540).
# ─────────────────────────────────────────────────────────
# 종목별 지표 (per_ticker: true)
# harness_context에서 list를 ticker 키로 인덱싱한 딕셔너리로 변환
# ─────────────────────────────────────────────────────────
per_ticker_metrics:
scrs_immediate_qty:
description: SCRS-V2 즉시 매도 수량(주)
canonical_source: scrs_v2_json.selected_combo[ticker].immediate_qty
alias_in_data: immediate_qty
wrong_alias_in_renderer: immediate_sell_qty
consumers:
- scrs_v2_sell_table
notes: >
렌더러가 immediate_sell_qty를 찾지만 데이터에는 immediate_qty가 있음.
AGENTS.md 5b: "immediate_sell_qty는 '-' 출력 금지 (키 불일치)" 명시 위반.
scrs_rebound_qty:
description: SCRS-V2 반등 대기 수량(주)
canonical_source: scrs_v2_json.selected_combo[ticker].rebound_wait_qty
alias_in_data: rebound_wait_qty
consumers:
- scrs_v2_sell_table
ticker_profit_pct:
description: 종목별 미실현 손익률(%)
canonical_source: prices_json[ticker].profit_pct
alias_in_renderer_wrong: unrealized_pnl_pct
alias_in_renderer_correct: profit_pct
consumers:
- profit_preservation_table
notes: >
profit_preservation_json[].unrealized_pnl_pct=None.
올바른 원천 = prices_json[].profit_pct.
ticker_stop_price:
description: 종목별 손절가(원)
canonical_source: prices_json[ticker].stop_price
consumers:
- shadow_ledger_table
- profit_preservation_table
notes: shadow_ledger_json의 stop_loss_calc=None이므로 prices_json 직접 사용.
ticker_limit_price:
description: 종목별 산출 지정가(원) — 차단 종목 포함 전체 표시(H10)
canonical_source: proposal_reference_json[ticker].proposed_limit_price_krw
fallback_sources:
- prices_json[ticker].stop_price
consumers:
- shadow_ledger_table
notes: >
AGENTS.md H10: 차단 종목도 산출 지표 은폐 금지.
proposal_reference_json에 proposed_limit_price_krw가 있으면 사용,
없으면 prices_json.stop_price를 참고방어가로 표시.
ticker_base_qty:
description: 종목별 기준 매도 수량(주)
canonical_source: sell_quantities_json[ticker].sell_qty
fallback_sources:
- comprehensive_proposal_json[ticker].quantity
consumers:
- shadow_ledger_table
notes: >
shadow_ledger_json의 base_qty_calc=None.
sell_quantities_json[].sell_qty 또는 comprehensive_proposal_json[].quantity 사용.
ticker_tp1_price:
description: 종목별 1차 익절가(원)
canonical_source: prices_json[ticker].tp1_price
consumers:
- shadow_ledger_table
# ─────────────────────────────────────────────────────────
# v11 추가 지표 — 12개 모순 해소 (SINGLE_TRUTH_LEDGER_V3)
# P0-1: 보고서 섹션별 재계산 금지 — ledger 조회만 허용
# ─────────────────────────────────────────────────────────
v11_contradiction_metrics:
value_damage_pct:
description: 현금확보 매도의 가치훼손율(%) — raw 기준
canonical_source: smart_cash_recovery_v8.json.raw_value_damage_pct_avg
fallback_sources:
- smart_cash_recovery_v7.json.raw_value_damage_pct_avg
- smart_cash_recovery_v9.json.raw_value_damage_pct_avg
tolerance_abs: 0.1
unit: percent
contradiction_sites:
- {section: final_execution_decision, wrong_value: 0.0, correct_value: 15.7}
- {section: cash_recovery_plan_crdl, wrong_value: 0.0, correct_value: 15.7}
notes: "raw=15.7%가 canonical. adjusted=0.0 단독 표기는 RAW_VS_ADJUSTED_DISCLOSURE_V1 위반."
performance_readiness_score:
description: 성과 준비도 점수(0~100)
canonical_source: operational_truth_score_v1.json.performance_readiness_score
tolerance_abs: 0.1
unit: score
contradiction_sites:
- {section: operational_truth_score_section, value: 37.2}
- {section: performance_monitoring_dashboard, value: 50.0, note: "50은 비활성 기본값 — canonical 37.2 사용"}
operational_truth_score:
description: 운영 진실 점수(0~100)
canonical_source: operational_truth_score_v1.json.score_0_100
tolerance_abs: 0.1
unit: score
contradiction_sites:
- {section: operational_truth_score_section, value: 80.86}
- {section: performance_monitoring_dashboard, value: 89.12, note: "재계산값 — canonical 80.86 사용"}
short_horizon_pct:
description: 단기 호라이즌 비중(%)
canonical_source: horizon_classification_v1.json.allocation_pct.SHORT
tolerance_abs: 0.1
unit: percent
contradiction_sites:
- {section: horizon_allocation_lock_v1, value: 14.3}
- {section: performance_monitoring_dashboard, value: 71.4, note: "보유종목 SHORT비중과 전략노출 혼동"}
mid_horizon_pct:
description: 중기 호라이즌 비중(%)
canonical_source: horizon_classification_v1.json.allocation_pct.MID
tolerance_abs: 0.1
unit: percent
horizon_cap_short_pct:
description: 단기 호라이즌 비중 상한(%)
canonical_source: horizon_allocation_guard_v2.json.short_cap
fallback_sources:
- spec/strategy/horizon_allocation_v1.yaml.rules.HA002.condition
tolerance_abs: 1.0
unit: percent
notes: "엔진 감사 short_cap=40%, horizon_routing_lock short_threshold=40%"
horizon_cap_mid_pct:
description: 중기 호라이즌 비중 상한(%)
canonical_source: horizon_allocation_guard_v2.json.mid_cap
tolerance_abs: 1.0
unit: percent
contradiction_sites:
- {section: horizon_allocation_lock_v1, value: 45}
- {section: engine_audit_routing, value: 50}
final_score:
description: 종합 전략 점수(0~100)
canonical_source: scores_harness_v1.json.final_score.value
tolerance_abs: 0.5
unit: score
contradiction_sites:
- {section: engine_audit_scores, value: 40.5}
- {section: performance_monitoring_dashboard, value: 45.3, note: "재계산값 — canonical 40.5 사용"}
t5_match_rate_pct:
description: T+5 예측 방향 일치율(%)
canonical_source: prediction_accuracy_harness_v5.json.prediction_match_rate_pct
fallback_sources:
- outcome_quality_score_v1.json.metrics.t5_operational_pass_rate
tolerance_abs: 0.5
unit: percent
contradiction_sites:
- {section: outcome_eval_window_monitor, value: 35.69, note: "전체 이력 기준"}
- {section: performance_monitoring_dashboard, value: 73.24, note: "decisive 케이스만 — 혼용 금지"}
notes: "canonical = prediction_accuracy_harness_v5.prediction_match_rate_pct(47.28). 표본 정의 혼용 금지."
cash_immediately_raisable_krw:
description: 즉시 조달 가능 현금(원)
canonical_source: cash_recovery_optimizer_v4.json.cash_shortfall_min_krw
fallback_sources:
- smart_cash_recovery_v8.json.cash_recovered_krw
tolerance_abs: 0
unit: krw
contradiction_sites:
- {section: cash_recovery_plan_crdl, value: 57841575}
- {section: engine_audit_sell_classification, value: 59399085}
cash_shortfall_target_krw:
description: 현금 목표 부족액(원)
canonical_source: cash_recovery_optimizer_v4.json.cash_shortfall_min_krw
fallback_sources:
- operational_truth_score_v1.json.cash_shortfall_min_krw
tolerance_abs: 0
unit: krw
contradiction_sites:
- {section: executive_brief, value: 38671178}
- {section: single_conclusion, value: 47769737}
confidence_cap:
description: 신뢰도 캡(0~100) — honest 기준
canonical_source: imputed_data_exposure_gate_v2.json.effective_confidence_honest
tolerance_abs: 0.1
unit: score
contradiction_sites:
- {section: investment_quality_headline, value: 93.0, note: "schema_presence 기반 — 거짓"}
- {section: engine_audit_imputed_exposure_honest, value: 88.4, note: "honest 기반 — canonical"}
notes: "88.4가 canonical. 93.0은 schema_presence 기반 거짓 캡이므로 폐기."
position_weight_pct:
description: 종목별 포트폴리오 비중(%)
canonical_source: portfolio_exposure_v1.json[ticker].weight_pct
fallback_sources:
- prices_json[ticker].position_weight_pct
per_ticker: true
tolerance_abs: 0.1
unit: percent
contradiction_sites:
- {section: portfolio_risk_panel, samsung: 44.5}
- {section: ejce, samsung: 44.35}
- {section: executive, samsung: 45.5}
unrealized_return_pct:
description: 종목별 미실현 수익률(%)
canonical_source: prices_json[ticker].profit_pct
per_ticker: true
tolerance_abs: 0.1
unit: percent
contradiction_sites:
- {section: position_dashboard, samsung: 98.0}
- {section: profit_preservation_table, samsung: 96.44}
- {section: decision_trace, samsung: 96.4}
# ─────────────────────────────────────────────────────────
# 예측 성과 지표 (평가창 정직성 — EVALUATION_WINDOW_HONESTY_V1)
# RC5 수정: proxy를 T+20으로 인용하는 평가창 위조 차단
# ─────────────────────────────────────────────────────────
evaluation_window_metrics:
t20_pass_rate:
description: T+20 벤치마크 초과수익률 달성 비율(%)
canonical_source: outcome_quality_score_v1.json.metrics.t20_effective_rate
formula_id: EVALUATION_WINDOW_HONESTY_V1
proxy_detection:
source_field: outcome_quality_score_v1.json.metrics.t20_source
proxy_value: t5_operational_proxy
proxy_flag_field: t20_is_proxy
enforcement:
- "t20_source != operational_t20 이면 지표명을 'T+20(추정,프록시)'로 강제 라벨링"
- "T20_PROXY=true 인 동안 t20_pass_rate를 release_gate t20_alpha 합격 근거로 사용 금지"
current_state:
t20_source: t5_operational_proxy
t20_is_proxy: true
t20_effective_rate: 40.92
label: "T+20(추정,프록시)"
proxy_note: "[T20_PROXY: 실측 T+20 표본 0건 — t5_operational_proxy 사용 중]"
consumers:
- release_gate_t20_alpha
- operational_report.summary.t20_is_proxy
tolerance_abs: 0.1
unit: percent
notes: >
t20_source=t5_operational_proxy이므로 보고서에서 T+20으로 인용 금지.
실측 T+20 표본 30건 누적 후 t20_source=operational_t20으로 전환.
전환 전까지 release_gate t20_alpha(55%) 판단에 이 값 사용 불가.
prediction_match_rate:
description: 예측 방향 일치율(%) — T+5 기준
canonical_source: prediction_accuracy_harness_v5.json.prediction_match_rate_pct
fallback_sources:
- algorithm_guidance_proof_v1.json.honest_components.prediction_match_rate
current_state:
value: 47.28
target: 58.0
gap: -10.72
label: "[UNVALIDATED_LIVE: n=0 live samples]"
consumers:
- release_gate_prediction_quality
unit: percent
# ─────────────────────────────────────────────────────────
# 교차섹션 정합성 검사 규칙
# ─────────────────────────────────────────────────────────
consistency_rules:
enforcement_mode_until: "2026-06-15"
warn_threshold_conflict_count: 1
fail_threshold_conflict_count: 1
forbidden_uniform_labels:
- "데이터 누락"
- "DATA_MISSING"
- "중립"
- "NEUTRAL"
- "LOSING"
- "정상"
forbidden_uniform_labels_whitelist_columns:
- "비고"
- "해제조건"