Xiapi Premarket Briefing

Problem

Premarket A-share signals are scattered across trend, sentiment, turnover, style, sector heat, and limit-up/down data. Manually assembling these inputs can miss fields or misread signals such as hot-list ranking and the fear/greed index. This skill targets the premarket window on trading days, turning multi-dimensional data into a structured brief that first frames whether the market leans bullish, bearish, or range-bound, then narrows down the day's main themes.

How It Works

It pulls prior-session close data through Daxiapi CLI and renders a fixed brief:

• Market structure: reads compass data and reports 60-day trend temperature, fear/greed index, and CS median to judge medium-term trend, short-term sentiment, and broad-market momentum.
• Turnover: shows total turnover, day-over-day change, and contextualizes activity around 2 trillion as active and below 1.5 trillion as weak.
• Style rotation: reads current style and historical percentile, using the 30-day spread between CSI 2000 and CSI 300 to infer large-cap versus small-cap bias.
• Main themes: cross-checks hot-list rank, sector change, limit-up count, and CS strength to list two to three themes.
• Activity: summarizes limit-up, limit-down, failed limit-up counts, failed rate, and representative streak stocks.
• Risks: ties warnings to specific data such as shrinking turnover, weak trend temperature, or elevated failed-limit-up rates.

Boundaries

It is intended for quick premarket reading from 8:00 to 9:25 on trading days, not intraday real-time analysis, deep single-stock research, or precise entry/exit calls. Data usually updates after the prior close, and weekends or holidays may return empty data. A fear/greed index of 0 usually means unavailable, not extreme fear. Hot-list rank alone does not prove strength; CS strength and limit-up structure must corroborate it. Output is for reference only and not investment advice.