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etf-analysis

Compare fees, tracking errors, and liquidity metrics for ETF portfolio construction.

30.4k|4.9k|Updated Apr 1, 2026
Search Tags:#etf#tracking-error#portfolio-analysis#core-satellite#quantitative-investing#fee-assessment#chinese-markets
One-click install
npx skills add https://github.com/HKUDS/Vibe-Trading --skill etf-analysis
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: etf-analysis
Source: https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/etf-analysis
Command: npx skills add https://github.com/HKUDS/Vibe-Trading --skill etf-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill organizes ETF evaluation data to cut through fee, tracking, liquidity, and premium noise so you can choose the right funds for long-term allocation without manual spreadsheets.

Core Features & Use Cases

  • Product taxonomy: classifies Chinese ETFs by asset class, structure, and issuer strength to quickly narrow down core and satellite candidates.
  • Quantitative scoring & monitoring: provides scoring models for scale, fee drag, tracking error, and liquidity while offering premium/discount, fund-flow, and factor-exposure templates.
  • Strategy playbooks: explains core-satellite, sector rotation, smart beta, arbitrage, and leverage/hedge mandates for diverse scenarios across domestic and QDII ETFs.

Quick Start

Ask the ETF analysis skill to score and rank core and satellite ETFs by scale, fees, tracking error, and premium warnings to build a balanced allocation.

Frequently Asked Questions about etf-analysis

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

FAQPage Schema
How do I evaluate and compare ETFs for a core-satellite portfolio allocation?▼

ETF scoring models rank funds by scale, fee drag, tracking error, and liquidity. You can compare broad market, sector, and smart beta funds to identify optimal choices without relying on manual spreadsheets.

Can I monitor ETF premium discount and fund flow for Chinese markets?▼

ETF premium discount monitors and fund flow tracing templates help identify pricing anomalies. These tools track liquidity and factor exposures across domestic and QDII ETFs to inform allocation and arbitrage decisions.

What is the best way to select smart beta ETFs for sector rotation strategies?▼

Smart beta ETF selection relies on scoring models for tracking error and factor exposure. Strategy playbooks explain how to execute sector rotation and leverage hedge mandates by comparing liquidity metrics across different issuers.

Does this ETF analysis support leverage hedge and arbitrage scenarios?▼

Strategy playbooks detail leverage hedge and arbitrage mandates for ETFs. By monitoring premium discount data and fund flows, you can execute these strategies while applying instrument-specific risk controls to manage allocation scenarios.

How do I assess ETF tracking error and fee drag for long-term allocation?▼

Quantitative scoring models measure ETF tracking error, scale, and fee drag to rank funds. This cuts through premium noise and liquidity metrics, enabling you to build balanced allocations for long-term investing.

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