Install
openclaw skills install p2p-lending-dataP2p Lending Data
验证 Frappe Lending 贷款模块核心流程，包括贷款申请创建、放款计划生成、还款处理及结清退款的自动化测试能力。
P2P 贷款测试 (p2p-lending-data)
验证 Frappe Lending 贷款模块核心流程，包括贷款申请创建、放款计划生成、还款处理及结清退款的自动化测试能力。
Pipeline
data_collection -> data_storage -> factor_computation -> target_selection -> trading_execution -> visualization
Top Use Cases (18 total)
Test Infrastructure Setup for Lending Module (UC-101)
Provides shared test utilities and setup functions needed by each lending module tests, including master initialization, loan product creation, and cu Triggers: test setup, lending test utils, test infrastructure
Loan Refund and Closure Testing (UC-102)
Tests the loan closure process when a borrower requests a refund of excess amounts after repaying the loan Triggers: loan refund, loan closure, excess amount refund
Loan Application Creation Testing (UC-103)
Tests the creation and processing of loan applications including rate of interest configuration and applicant details Triggers: loan application, loan request, apply for loan
For all 18 use cases, see references/USE_CASES.md.
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
Top Anti-Patterns (14 total)
AP-CREDIT-RISK-001: Empty DataFrame passed to bucketing pipelineAP-CREDIT-RISK-002: Multi-dimensional target array causing WoE shape mismatchAP-CREDIT-RISK-003: OptimalBucketer receiving high-cardinality numerical features
All 14 anti-patterns: references/ANTI_PATTERNS.md
Evidence Quality Notice
[QUALITY NOTICE] This crystal was compiled from blueprint finance-bp-072. Evidence verify ratio = 69.5% and audit fail total = 24. 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 | V6+ 全量权威 (source-of-truth) | 有行为/决策争议时必读 |
| references/ANTI_PATTERNS.md | 14 条跨项目反模式 | 开始实现前 |
| references/WISDOM.md | 跨项目精华借鉴 | 架构决策时 |
| references/CONSTRAINTS.md | domain + fatal 约束 | 规则冲突时 |
| references/USE_CASES.md | 全量 KUC-* 业务场景 | 需要完整示例时 |
| references/LOCKS.md | SL-* + preconditions + hints | 生成回测/交易代码前 |
| 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-072 blueprint at 2026-04-22T13:00:26.108289+00:00.
See human_summary.md for non-technical overview.