Credit Lgd Model

SKILL.md

---
name: credit-lgd-model
description: |-
  构建并训练 LGD（违约损失率）机器学习模型，支持基于历史违约数据的信用风险量化评估与预测。
license: Proprietary. See LICENSE.txt in project root.
compatibility: Designed for Doramagic-host ecosystem (Claude Code / openclaw / Cursor). Requires Python 3.12+ with uv package manager.
metadata:
  version: "v6.1"
  blueprint_id: "finance-bp-112"
  compiled_at: "2026-04-22T13:00:54.441302+00:00"
  capability_markets: "global"
  capability_activities: "credit-risk"
  sop_version: "crystal-compilation-v6.1"
---
# 信用违约损失模型 (credit-lgd-model)

> 构建并训练 LGD（违约损失率）机器学习模型，支持基于历史违约数据的信用风险量化评估与预测。

## Pipeline

`data_collection -> data_storage -> factor_computation -> target_selection -> trading_execution -> visualization`

## Top Use Cases (1 total)

### Sphinx Documentation Configuration (`UC-101`)
This file configures the Sphinx documentation builder for the openLGD project, setting up project metadata, version information, and path configuratio
**Triggers**: documentation, sphinx, configuration

**Execute trigger**: `When user intent matches intent_router.uc_entries[].positive_terms AND user uses action verb (run/execute/跑/执行/backtest/fetch/collect)`

## What I'll Ask You

- Target market: A-share (default), HK, or crypto? (US stocks in ZVT are half-baked — stockus_nasdaq_AAPL exists but coverage is thin)
- Data source / provider: eastmoney (free, no account), joinquant (account+paid), baostock (free, good history), akshare, or qmt (broker)?
- Strategy type: MACD golden-cross, MA crossover, volume breakout, fundamental screen, or custom factor?
- Time range: start_timestamp and end_timestamp for backtest period
- Target entity IDs: specific stocks (stock_sh_600000) or index components (SZ1000)?

## Semantic Locks (Fatal)

| ID | Rule | On Violation |
|---|---|---|
| `SL-01` | Execute sell orders before buy orders in every trading cycle | halt |
| `SL-02` | Trading signals MUST use next-bar execution (no look-ahead) | halt |
| `SL-03` | Entity IDs MUST follow format entity_type_exchange_code | halt |
| `SL-04` | DataFrame index MUST be MultiIndex (entity_id, timestamp) | halt |
| `SL-05` | TradingSignal MUST have EXACTLY ONE of: position_pct, order_money, order_amount | halt |
| `SL-06` | filter_result column semantics: True=BUY, False=SELL, None/NaN=NO ACTION | halt |
| `SL-07` | Transformer MUST run BEFORE Accumulator in factor pipeline | halt |
| `SL-08` | MACD parameters locked: fast=12, slow=26, signal=9 | halt |

Full lock definitions: [references/LOCKS.md](references/LOCKS.md)

## Top Anti-Patterns (14 total)

- **`AP-CREDIT-RISK-001`**: Empty DataFrame passed to bucketing pipeline
- **`AP-CREDIT-RISK-002`**: Multi-dimensional target array causing WoE shape mismatch
- **`AP-CREDIT-RISK-003`**: OptimalBucketer receiving high-cardinality numerical features

All 14 anti-patterns: [references/ANTI_PATTERNS.md](references/ANTI_PATTERNS.md)

## Evidence Quality Notice

> [QUALITY NOTICE] This crystal was compiled from blueprint finance-bp-112. Evidence verify ratio = 21.0% and audit fail total = 23. Generated results may have uncaptured requirement gaps. Verify critical decisions against source files (LATEST.yaml / LATEST.jsonl).

## Reference Files

| File | Contents | When to Load |
|---|---|---|
| [references/seed.yaml](references/seed.yaml) | V6+ 全量权威 (source-of-truth) | 有行为/决策争议时必读 |
| [references/ANTI_PATTERNS.md](references/ANTI_PATTERNS.md) | 14 条跨项目反模式 | 开始实现前 |
| [references/WISDOM.md](references/WISDOM.md) | 跨项目精华借鉴 | 架构决策时 |
| [references/CONSTRAINTS.md](references/CONSTRAINTS.md) | domain + fatal 约束 | 规则冲突时 |
| [references/USE_CASES.md](references/USE_CASES.md) | 全量 KUC-* 业务场景 | 需要完整示例时 |
| [references/LOCKS.md](references/LOCKS.md) | SL-* + preconditions + hints | 生成回测/交易代码前 |
| [references/COMPONENTS.md](references/COMPONENTS.md) | AST 组件地图（按 module 拆分）| 查 API 时 |

---

*Compiled by Doramagic crystal-compilation-v6.1 from `finance-bp-112` blueprint at 2026-04-22T13:00:54.441302+00:00.*
*See [human_summary.md](human_summary.md) for non-technical overview.*