ETF Investment Value Analyzer

What problem it addresses

When screening ETFs, key factors such as price, sector outlook, fees, tracking error, and redemption convenience often live in different data sources and are hard to compare consistently. etf-value-analyzer turns this into a reviewable workflow for broad index, sector/theme, cross-border QDII, and commodity ETFs.

How it works

The skill uses two frameworks: Buffett's three gates covering circle of competence, moat, and long-term survivability, and a six-dimension model covering good asset, good price, good operation, good timing, good fit, and good cost. Its main steps are:
- Classify the ETF type and investment use case, such as systematic investing screening or core-satellite allocation;
- Fetch data through yfinance and AkShare with API-first preference;
- Cross-check multi-source results and flag missing data, inconsistent definitions, or anomalies;
- Generate a structured in-depth report for comparing ETF suitability;
- Run a pre-submission self-check so unsupported judgments are not presented as conclusions.

Boundaries

This skill suits analytical questions like “Is this ETF worth buying?” or “Is it suitable for regular investing,” but it does not replace professional investment advice. Cross-border QDII and commodity ETFs can be affected by currency, redemption rules, and underlying liquidity, so reports should be read with their data assumptions and risks.