cross-market-strategy

Coordinate cross-market trading signals for multi-asset portfolios.

Updated Jun 12, 2026
One-click install
npx skills add https://github.com/GGwujun/SigmX --skill cross-market-strategy-ggwujun
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: cross-market-strategy
Source: https://github.com/GGwujun/SigmX/tree/main/agent/src/skills/cross-market-strategy
Command: npx skills add https://github.com/GGwujun/SigmX --skill cross-market-strategy-ggwujun

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Coordinated cross-market signal generation for multi-market portfolios, enabling unified strategy across diverse asset classes.

Core Features & Use Cases

  • Per-market detection and parameterization to tailor indicators for A-shares, crypto, US equities, forex, and futures.
  • Volatility-aware weighting to balance exposure when combining markets with different risk levels.
  • Cross-market signal patterns including momentum spillover and hedging to improve diversification.

Quick Start

Ask the engine to generate cross-market signals for a portfolio containing codes from different markets.

Frequently Asked Questions about cross-market-strategy

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

FAQPage Schema
How do I generate cross-market trading signals for a multi-asset portfolio?

Cross-market trading signals are generated by applying market detection and per-market parameter tables to your multi-asset portfolio. The engine coordinates signals across A-shares, crypto, US equities, forex, and futures with calendar alignment.

What is volatility-weighted allocation in cross-market portfolios?

Volatility-weighted allocation is a risk-balancing mechanism that adjusts exposure when combining markets with different risk levels. It ensures that high-volatility assets do not dominate the multi-asset portfolio's overall cross-market signal patterns.

Does cross-market signal generation work with mixed A-shares and crypto assets?

Cross-market signal generation works with mixed A-shares and crypto assets by applying per-market parameterization. This tailors indicators specifically for each market while maintaining unified strategy coordination across the portfolio.

How to apply momentum spillover and hedging patterns across different asset classes?

Momentum spillover and hedging patterns are applied as cross-market signal patterns to improve diversification. The engine validates these signals across different asset classes using robust validation protocols tailored for multi-asset portfolios.

Can I use per-market parameterization for forex and futures trading signals?

Per-market parameterization can be used for forex and futures trading signals to tailor indicators for each market. This enables precise market detection and coordinated signal generation across diverse asset classes within your portfolio.

Why do I need calendar alignment for multi-asset portfolio signals?

Calendar alignment is needed for multi-asset portfolio signals to synchronize trading signals across markets with different trading hours and schedules. It ensures robust validation and accurate cross-market signal pattern coordination across diverse asset classes.