ETF Selection Expert
Paste the following prompt into your AI chat to install this skill:
Please install @user_f57b061b/etf-selector-expert according to https://skillhub.cn/install/skillhub.md.
About this skill
Problem: comparable ETFs are hard to choose
When investing by sector, concept, or industry chain, the usual blocker is not finding ETFs, but finding products with high index relevance, sufficient liquidity, and stable tracking quality. For themes like renewable energy, semiconductors, or innovative drugs, index names, managers, size, turnover, and tracking error are scattered across sources, making manual comparison costly.
How it works: knowledge retrieval + structured comparison
The skill breaks ETF selection into executable tasks:
- Sector/concept mapping: starts from sector/concept → index → ETF relationships and prioritizes indices with strong composite match and best-match flags.
- Same-theme comparison: compares latest size, daily average turnover, tracking error, information ratio, and peer rankings under the same index, then suggests liquidity-first or steadier options.
- Industry-chain mapping: extends upstream, midstream, and downstream keywords into related indices and ETFs to cover the full chain.
- Conditional filtering: filters by size, turnover, tracking error, manager, and similar dimensions, and offers nearby alternatives when no exact match is found.
The key flow is retrieval from the knowledge base, followed by table-based comparison; missing coverage is stated instead of invented.
Boundaries and notes
It is useful for ETF information organization, candidate comparison, and industry-chain mapping, not for individual stock recommendations or future price forecasts. Outputs depend on the knowledge-base version and market timing; final decisions should also consider live quotes, fees, subscription/redemption rules, and personal risk tolerance.
Use Cases
- Before configuring a renewable-energy theme, retrieve linked indices, match scores, size, and tracking error to shortlist ETFs.
- Compare multiple semiconductor ETFs under the same index by size, turnover, tracking error, and peer ranking.
- Break down a semiconductor industry chain and map upstream materials, equipment, and design concepts to related ETFs.
- Filter innovative-drug theme ETFs by size above 500 million and tracking error below 1%, then output a comparison table.
Best For
- Sector research analysts who need to locate high-match ETFs for a theme quickly.
- Portfolio advisors comparing liquidity and tracking quality of same-index ETFs.
- Industry-chain analysts mapping upstream and downstream concepts to tradable ETFs.
- Financial content editors producing structured ETF comparison tables.
Related Skills
Reviews Chinese-law contract text via the accurLex API, returns the full review opinion, and exports a Word document.
Generates executable FAERS active-comparator safety comparison research plans focused on one SOC or PT family.
A reference framework for financial data analysis covering statements, KPIs, visualization, and reporting templates, without executing code or collecting data.
A knowledge-base-driven advisor for weak-current, network, and telecom equipment selection, covering parameter comparison, model recommendations, compatibility checks, and budgeting.