Abs Cashflow Modeling
/install abs-cashflow-modeling
ABS 现金流建模 (abs-cashflow-modeling)
建模资产支持证券交易结构,模拟抵押贷款池现金流、债券分级偿还和瀑布分配,分析 tranche 收益与风险表现。
Pipeline
data_collection -> data_storage -> factor_computation -> target_selection -> trading_execution -> visualization
Top Use Cases (40 total)
Basic ABS Deal Model (UC-001)
Model a basic asset-backed securities deal with mortgage pool, bonds, fees, and waterfall to analyze cashflows and tranche performance Triggers: basic deal, ABS, mortgage pool
Adjustable Rate Mortgage Pool (UC-002)
Model an adjustable rate mortgage pool with LIBOR-based floating rates and periodic resets Triggers: ARM, adjustable rate, LIBOR
Bond Step-Up Rate (UC-003)
Model bonds with scheduled rate step-ups at specific dates for ABS deal structuring Triggers: step-up, bond rate, scheduled increase
For all 40 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 (15 total)
AP-INSURANCE-001: Implicit numeric format assumptions without validationAP-INSURANCE-002: Triangle axis construction with invalid temporal orderingAP-INSURANCE-003: Cumulative/incremental triangle representation misuse
All 15 anti-patterns: references/ANTI_PATTERNS.md
Evidence Quality Notice
[QUALITY NOTICE] This crystal was compiled from blueprint finance-bp-076. Evidence verify ratio = 37.8% and audit fail total = 22. 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 | 15 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-076 blueprint at 2026-04-22T13:00:28.210602+00:00.
See human_summary.md for non-technical overview.
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install abs-cashflow-modeling - 安装完成后,直接呼叫该 Skill 的名称或使用
/abs-cashflow-modeling触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
Abs Cashflow Modeling 是什么?
建模资产支持证券交易结构,模拟抵押贷款池现金流、债券分级偿还和瀑布分配,分析 tranche 收益与风险表现。。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 123 次。
如何安装 Abs Cashflow Modeling?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install abs-cashflow-modeling」即可一键安装,无需额外配置。
Abs Cashflow Modeling 是免费的吗?
是的,Abs Cashflow Modeling 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Abs Cashflow Modeling 支持哪些平台?
Abs Cashflow Modeling 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Abs Cashflow Modeling?
由 Tang Weigang(@tangweigang-jpg)开发并维护,当前版本 v0.3.3。