a-share-limit-up-review

name	a-share-limit-up-review
description	抓取东方财富行情中心、龙虎榜、活跃营业部和涨停池数据，并据此输出A股超短打板复盘与次日预案。用于用户要求“打板复盘”“连板梯队拆解”“龙虎榜复盘”“明日打板预选池”或需要先用 Playwright 无头浏览器采集东财页面数据再分析的场景。

A-Share Limit-Up Review

Overview

Use this skill to build a daily A-share limit-up review for ultra-short-term trading. Fetch Eastmoney data with the bundled Playwright script first, then write the review in Chinese with a fixed six-part structure and explicit missing-data notes.

Workflow

1. Run scripts/fetch_eastmoney_data.py to collect page-triggered JSON payloads and visible tables from Eastmoney.
2. Inspect matched_dataset, network_samples, and dom_tables in the generated JSON.
3. If one of the core sections lacks enough data, tell the user exactly what is missing instead of inventing values.
4. Produce the final review with the mandatory structure in ## Review Format.

Fetching Data

Run:

python scripts/fetch_eastmoney_data.py --output eastmoney_snapshot.json

Requirements:

• Python package: playwright
• Browser runtime: python -m playwright install chromium

The script is intentionally generic because Eastmoney pages may change their DOM structure. Prefer network_samples when they clearly expose the needed fields. Use dom_tables as fallback.

For source-page details and expected fields, read references/data-sources.md.

Analysis Rules

• Write in simplified Chinese.
• Use A-share short-term trading language such as 龙一, 晋级, 情绪切换, 封单, 换手率, 股性.
• Stay practical. Do not encourage blind chasing.
• Highlight logic chains, not just conclusions.
• If the user provides their own trading log, add the operation review section. If not, mark it as unavailable and continue.
• If the fetched data is noisy, extract only the fields that support the conclusion. Do not paste raw tables into the final answer unless the user asks.

Review Format

Cover every section below in order:

1. 今日情绪总判断
2. 连板梯队与龙头拆解
3. 打板机会复盘
4. 我的操作复盘
5. 明日打板策略与预选池
6. 一句话核心总结 + 1个值得反复学习的规律

Within these sections, explicitly address:

• 市场情绪级别 and next-day emotion expectation.
• 连板高度, 梯队结构, 龙头与潜在接力股.
• 炸板 or failed-board cases and why they failed.
• 主线题材 vs 支线题材 strength ranking.
• 值得打的板, trap setups, and missed opportunities.
• Next-day strategy, candidate pool, priority, reasons, key watch points, risk control.

Missing Data Policy

If the input does not cover one or more of these items, list the gap clearly before giving conclusions:

• 大盘表现 and key time nodes.
• 涨停家数, 炸板率, 连板高度.
• 热点板块 and board counts.
• 连板天梯 details.
• 龙虎榜 or seat flow.
• User's own trade log.

Output Style

• Keep it concise and readable.
• Prefer bullet points and compact tables.
• Make actionable statements with clear conditions.
• Separate facts from inference when data quality is mixed.