hk-stock-trending_skill

This skill delivers daily Hong Kong stock trends with concise market insights and top movers, empowering quick investment decisions.
  • Python

2.5k

GitHub Stars

2

Bundled Files

2 months ago

Catalog Refreshed

4 months ago

First Indexed

Readme & install

Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.

Installation

Preview and clipboard use veilstrat where the catalogue uses aiagentskills.

npx veilstrat add skill openclaw/skills --skill hk-stock-trending

  • _meta.json290 B
  • SKILL.md1.6 KB

Overview

This skill provides a daily briefing of trending Hong Kong stocks with concise market analysis. It highlights top gainers, most active stocks by turnover, and Shanghai-Hong Kong Connect southbound flow. The report is designed for quick decision-making and spotting short-term market drivers.

How this skill works

The skill aggregates intraday and end-of-day data from multiple Hong Kong market sources to compute rankings by price change and turnover. It extracts index levels, turnover totals, and southbound net flows, then classifies driving reasons (earnings, sector themes, buybacks, capital flows, news, rotation). If live data is unavailable it marks items as "data pending."

When to use it

  • Morning pre-market scan to prioritize stocks to watch
  • Post-market wrap to capture daily winners and capital flows
  • Screening for short-term momentum trades
  • Monitoring sector rotations and unusual turnover
  • Checking southbound buying activity from Mainland investors

Best practices

  • Use the daily brief as a starting point, then validate with primary sources before trading
  • Combine turnover and price-move context to distinguish genuine moves from low-liquidity spikes
  • Pay attention to the classified reasons—earnings and large buybacks often lead to sustained moves
  • Treat southbound flow as confirmation of institutional interest rather than standalone buy signal
  • If a symbol shows "data pending," wait for the next update before acting

Example use cases

  • Generate a concise pre-market watchlist from the Top5 gainers and Top5 active lists
  • Identify stocks with institutional support by cross-referencing turnover champions and southbound inflows
  • Summarize daily market health with index levels and total turnover for a trading newsletter
  • Spot trending sector themes (e.g., AI, renewables) by aggregating repeated sector appearances
  • Quickly filter candidates for swing trades based on earnings-driven momentum

FAQ

It aggregates public Hong Kong market feeds and financial portals to compile index levels, prices, and turnover figures.

How are reasons for moves classified?

Reasons are assigned into categories like earnings, theme speculation, buybacks, capital inflows, news, or sector rotation based on headlines and data patterns.

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