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Vn Market News Monitor

核心功能:从CafeF等4家越南主流财媒抓取头条,按板块、个股打标签,统计提及强度,对比往期识别叙事变化,排查信息风险。典型场景:用户询问越南市场热点叙事、板块热度、个股提及情况或舆情周期对比。输入为相关查询,可选提供关注个股列表;输出含多板块内容,附置信度与源链接,仅作信号监控,需结合量化数据验证。

teahann
teahann
热度 89.12
最近更新 2026-05-22 08:22:02
分类:数据依赖:联网浏览搜索 / 第三方 API应用场景:市场分析 / 报告撰写 / 数据处理

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add vn-market-news-monitor
Metadata
name
vn-market-news-monitor
description
Tracks Vietnam market and sector narratives from major domestic financial media; used when users ask for market stories, sector heat, and most-mentioned Vietnamese tickers.
compatibility
Requires OpenClaw web fetch and Brave API access.

Vietnam Market News Monitor (Web Workflow)

Use this skill to monitor domestic Vietnam market narratives by sector and ticker mentions.

Data sources

Requirements and fallback behavior

  • Requires web access to collect current headlines and source URLs.
  • Prefer direct source pages first, then search results if source pages are unavailable.
  • If fewer than three domestic sources are accessible, continue with available sources, set confidence to Low, and list inaccessible sources.
  • No Python scripts are required for this skill.

Execution workflow

  1. Fetch latest headlines from all four sources.
  2. Tag headlines by sector and potential ticker mentions.
  3. Count mention intensity by sector.
  4. Compare with previous snapshot (if available) to detect narrative acceleration/deceleration.
  5. Highlight possible misinformation/noise risk areas.

Data quality gate (required)

Run this gate before final output:

  1. Freshness: include collection window in ICT (UTC+7) and last-update timestamp per source.
  2. Coverage: target >= 3 domestic sources; if < 3, set confidence to Low.
  3. De-duplication: cluster duplicate headlines by normalized title + publisher domain.
  4. Evidence tags: mark each major claim as Fact (headline/text) or Inference (market implication).
  5. Bias check: flag concentration if one source contributes > 50% of collected items.

Shared confidence rubric (required)

Apply this common standard:

  • High: >= 3 active sources, fresh window (24h/7d explicitly stated), and low concentration bias.
  • Medium: >= 3 sources with moderate concentration bias or partial freshness gaps, but sector/ticker narratives are still cross-validated.
  • Low: < 3 sources, stale window, or highly concentrated/noisy coverage with weak confirmation.

Always output confidence with:

  1. Source coverage table.
  2. Freshness window (ICT UTC+7).
  3. Major noise/bias factor that may distort narrative ranking.

Output format (required)

  • Section 1: Source coverage and freshness.
  • Section 2: Top sectors by media intensity.
  • Section 3: Most-mentioned tickers.
  • Section 4: Narrative shift vs previous period.
  • Section 5: Risks and validation checklist before investment action.

Watchlist mode (optional)

If the user provides an ACTIVE_WATCHLIST (tickers), add an extra section:

  • Watchlist Impact Map: for each ticker, list relevant headlines (with links), label Fact vs Inference, and provide 1–2 monitoring triggers.

Do not issue buy/sell commands; this skill is for signal monitoring only.

Trigger examples

  • "What are the hottest Vietnam market narratives today?"
  • "Which sectors and tickers are mentioned most in Vietnamese financial media?"
  • "Compare this week's market narrative vs last week."

Quality rules

  • Headlines are signals, not direct trading decisions.
  • Always recommend cross-checking with vnstock quantitative metrics.
  • Provide source links for every major statement.
  • If source coverage is weak or stale, explicitly downgrade confidence.