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Reactive Pricing Engine

核心功能为OTC衍生品组合的XVA(CVA/DVA/FVA)估值、敞口曲线生成及SIMM保证金敏感性分析,还可生成组合NPV、现金流报告。典型场景包括动态SIMM敞口分析、XVA估值报告等。使用时需提供目标市场、数据源等信息,输出可视化报告与风险指标,兼容多定价引擎,适配Doramagic生态,需Python3.12+环境。

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热度 47.45
最近更新 2026-05-18 11:47:23
分类:数据依赖:代码执行 / 第三方 API / 读写文件应用场景:财务 / 市场分析 / 报告撰写 / 数据处理

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add reactive-pricing-engine
Metadata
name
reactive-pricing-engine
description
基于OTC衍生品组合的XVA估值与风险指标计算,支持CVA/DVA/FVA度量及敞口曲线生成;提供SIMM保证金敏感性分析,兼容多定价引擎配置。
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-104","compiled_at":"2026-04-22T13:00:49.125318+00:00","capability_markets":"unspecified","capability_activities":"finance-analytics","sop_version":"crystal-compilation-v6.1"}

XVA 定价引擎 (reactive-pricing-engine)

基于OTC衍生品组合的XVA估值与风险指标计算,支持CVA/DVA/FVA度量及敞口曲线生成;提供SIMM保证金敏感性分析,兼容多定价引擎配置。

Pipeline

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

Top Use Cases (19 total)

Dynamic SIMM Exposure Analysis (UC-101)

Analyzes collateralized vs uncollateralized counterparty exposure dynamics for risk management and margin calculations Triggers: initial margin, SIMM, collateral

XVA Valuation and Sensitivity Reporting (UC-102)

Computes and visualizes XVA metrics including CVA, DVA, FVA, and exposure profiles for OTC derivatives portfolio Triggers: XVA, CVA, FVA

Portfolio NPV Cashflow and Curve Reporting (UC-106)

Generates comprehensive portfolio reports including NPV, cashflows, and yield curves for trade valuation Triggers: NPV, cashflow, curves

For all 19 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

Evidence Quality Notice

[QUALITY NOTICE] This crystal was compiled from blueprint finance-bp-104. Evidence verify ratio = 38.9% and audit fail total = 7. 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 0 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-104 blueprint at 2026-04-22T13:00:49.125318+00:00. See human_summary.md for non-technical overview.