regulatory-knowledge

Consolidate cross-market regulatory rules for backtesting and compliance analysis.

6.1k|1.2k|Updated Jun 9, 2022
One-click install
npx skills add https://github.com/charliedream1/ai_quant_trade --skill regulatory-knowledge-charliedream1
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: regulatory-knowledge
Source: https://github.com/charliedream1/ai_quant_trade/tree/main/a_%E5%85%A8%E7%BD%91%E4%BC%98%E7%A7%80%E8%B5%84%E6%BA%90/10_%E5%A4%A7%E6%A8%A1%E5%9E%8B/07_skill%E5%8C%85/vibe_trading_skills/regulatory-knowledge
Command: npx skills add https://github.com/charliedream1/ai_quant_trade --skill regulatory-knowledge-charliedream1

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

金融监管规则分散、跨市场差异大,容易导致回测失真和跨市场合规风险。本技能提供金融市场监管规则的集中知识库,覆盖A股、港股、美股、加密等市场,方便策略设计与合规评估。

Core Features & Use Cases

  • Cross-market rule catalog: A股涨跌停、T+1/T+0、集合竞价、融券、税务、跨境合规等核心规则汇总,帮助策略设计与回测一致性。
  • 合规风控参考: 提供市场交易成本、印花税、交易时点等关键信息,便于风控参数设定与收益估算。
  • 税务与跨境指引: 纳入不同市场的税务影响与合规要求,降低跨境交易风险。
  • Use Case: 将不同市场的规则应用到回测逻辑与报告生成,确保结果可追溯并符合监管要求。

Quick Start

Load this knowledge base into your backtesting pipeline and enable automated rule checks across markets.

Frequently Asked Questions about regulatory-knowledge

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I prevent backtest distortions caused by cross-market regulatory rules?

Prevent backtest distortions by consolidating cross-market regulatory rules into a structured knowledge base. Applying market-specific rules like A-share price limits, T+1 settlement, and stamp taxes ensures backtesting engines reflect realistic trading constraints.

What cross-market compliance risks should I check when designing quantitative strategies?

Check cross-market compliance risks by validating trading costs, tax considerations, and settlement rules across A-share, Hong Kong, U.S., and crypto markets. Rule-based signal validation lowers cross-border compliance breaches and ensures reporting remains traceable.

How do I apply A-share T+1 and price limit rules to a backtesting engine?

Apply A-share T+1 and price limit rules by loading a market rule catalog into your backtesting pipeline. Enabling automated rule checks validates quantitative strategies against auction matching, short selling constraints, and settlement restrictions.

Does this regulatory knowledge base cover tax considerations for crypto and U.S. markets?

Yes, the regulatory knowledge base covers tax considerations for crypto and U.S. markets. It provides cross-border compliance guidelines and tax impact references to support risk control parameter setup and accurate return estimation across different markets.

Can I use this for risk control parameter setup in Hong Kong and U.S. markets?

Yes, you can use this for risk control parameter setup in Hong Kong and U.S. markets. The knowledge base consolidates trading costs, transaction taxes, and market timing rules to help estimate returns and configure risk controls accurately.

What are the limitations of using consolidated market rules for automated backtesting?

Consolidated market rules require regular updates to remain accurate, as regulatory changes can outpace the static knowledge base. Limitations include potential gaps in real-time rule enforcement and the need to manually verify cross-border compliance guidelines.