About this skill

Problem

In A-share ETF swing trading, the hard part is not having indicators, but interpreting them consistently. A strong monthly chart may not mean the weekly cycle has room, and a weekly breakout may still expose poor daily entry risk. When each timeframe is judged separately, traders can mistake pullbacks for opportunities or treat sector rotation as a one-off spike. This skill organizes that judgment into a three-layer framework: monthly for direction, weekly for rhythm, daily for entries, with a default focus on mid-term ETF positions in blue-chip or established-name sectors.

How It Works

Rather than returning a simple bullish or bearish label, the skill breaks sector analysis into concrete tasks: identifying major swing turning points, scoring and ranking sectors, mapping support and resistance, assessing wave stage, estimating rotation pace, and running daily pre/post-market reviews. A typical flow is to query real-time quotes, fund flows, financial data, or supplemental K-line data, score sectors against a card, then apply trading discipline to the conclusion. The default investor profile includes positions held for at least two weeks, a 5% single-day max drawdown, sector caps by S/A/B/C grade, and exclusions such as defense, media, gaming, and recent IPOs. Output constraints are also explicit: judgments should cite data source and fetch time, conclusions should match the scoring card, and each conclusion should include verifiable quantitative metrics.

Boundaries

The skill is better suited to mid-term swing review and sector ranking than high-frequency trading, event-driven themes, or single-stock scalping. It depends on external financial data sources; if neodata-financial-search or tongdaxin-mcp is unavailable or data is missing, the output should be treated as insufficient evidence. Default parameters are a starting framework and should be recalibrated for personal position size, risk budget, and transaction costs.

Screenshots

Use Cases

After a weekly breakout, check whether several blue-chip ETFs align on monthly direction, weekly rhythm, and daily entry points.
Score and rank technology, consumer, and financial sectors with the scoring card to pick S/A-grade ETFs for the week.
After market close, review support and resistance levels for held sectors and flag whether stop-loss or take-profit rules trigger.
Use wave stage and rotation patterns to split next week's ETF review into direction, rhythm, and entry checks.

Best For

Investors trading mid-term A-share ETF swings who need monthly, weekly, and daily judgments turned into an actionable checklist.
Researchers doing sector reviews who need ETF scoring, ranking, and support/resistance levels in a daily report.
Individual traders focused on blue-chip ETFs who need theme-stock exclusions and stop-loss/take-profit discipline.
Users of financial analysis assistants who require data sources, fetch times, and verifiable metrics in conclusions.