Xiapi Top Stock Analysis

Problem It Addresses

In A-share short-term market observation, a list of strong stocks can easily become noise: a high daily gain does not necessarily indicate a main line, and multiple concepts may only reflect local follow-through. This skill narrows the goal: from truncated daily strong-stock data, identify hot main lines that show breadth, cross-sector resonance, and freshness, then provide risk-tiered operational reference.

How It Works

The core flow structures analysis around the Xiapi API:
- Data retrieval: reads daily hot strong stocks, typically focusing on zdf > 7% and IBS > 50.
- Caliber normalization: unifies Eastmoney BK and Tonghuashun 8 sector codes, preferring Tonghuashun classification to avoid distorted statistics.
- Main-line identification: first counts concept frequency, then scores concepts by covered stock count, cross-industry distribution, and zdf20 freshness, separating A-level main lines, B-level main lines, and C-level follow-through.
- Risk tiering: judges chase-in risk by daily gain and 20-day gain, outputting high, medium, and low tiers instead of vague “may watch” advice.
- Report constraints: notes truncated data at the beginning and includes a disclaimer at the end, preventing sample results from being treated as market-wide conclusions.

Boundary And Notes

It is suitable for quick short-term hot topics, sector leaders, and capital-flow review, but not for financial reports, valuation, long-term investment, bonds, funds, or futures. If heatmap data is missing, the market-level comparison should be skipped; when encountering 401, 429, or empty data, prompt users to check configuration, retry later, or confirm non-trading days.