US Stock Daily Briefing
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Please install @user_44747f29/us-stock-daily-briefing following https://skillhub.cn/install/skillhub.md.
About this skill
Problem Addressed
Daily US stock roundups often mix technical analysis, point predictions, and stale news, making it hard to verify what actually moved indexes, sector ETFs, and large-cap names. This skill narrows the output to a reviewable close briefing: structured quotes explain what happened, same-day authoritative finance news explains why, and the report avoids line drawing, wave counting, and buy/sell advice.
How It Works
- Data boundary: index, stock, and GICS ETF numeric data uses
westock-mcp/data_quote; news usesWebSearchin finance mode limited to same-day authoritative sources, withWebFetchfor article detail when needed. - Report structure: fixed modules cover Nasdaq/S&P 500 cards, sector ETF moves, 13 US-listed companies, market commentary, and key events; company rows include close price,
chg,c5,c20,cytd, market cap, and turnover. - Generation path: data is written to
report_data.json, thengenerate.pyproduces a self-contained HTML report with inlined ECharts, so it can be opened offline; inline JS syntax is validated before delivery. - Quality controls: trading-day checks rely on the index quote
timefield, missing fields render as--, andU+FFFDcorruption must be fixed in the JSON before regeneration.
Boundaries
Use it for daily US market review, sector ETF comparison, and major-tech news summaries. It is not for A-share/HK-stock conventions, technical analysis, point forecasts, or tick-level live data. If the market is closed, data sources are missing, or news cannot be cross-checked, the skill should stop or state that the current source does not cover the item.
Use Cases
- Assemble same-day Nasdaq, S&P 500, sector ETF, and 13 US stock moves after the close.
- Link same-day finance news to index, ETF, and company moves to produce a no-prediction review.
- Run a scheduled job that generates a self-contained HTML close report for offline review.
- Verify the latest closed US session using index quote time before generating the report.
Best For
- Finance editors covering US post-close reviews: need a fast factual daily report with indexes, sector ETFs, and company moves.
- Quant ops monitoring portfolios: need a fixed daily output of covered US names with moves and event summaries.
- Engineers building automated report pipelines: need a stable JSON contract and generate.py for offline HTML output.
- Investor assistants tracking big tech: need same-day news and company moves with explicit no buy/sell advice.
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