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🦀 ClawHub

Capital Market Report

by @yangzhe1991

Generate high-signal, impact-driven capital market anomaly and rumor reports. Focuses on actionable business signals, expectation-breaking news, and deep log...

Versionv6.0.2
Downloads1,764
Installs7
Stars1
TERMINAL
clawhub install capital-market-report

📖 About This Skill


name: capital-market-report description: Generate high-signal, impact-driven capital market anomaly and rumor reports. Focuses on actionable business signals, expectation-breaking news, and deep logical deduction rather than routine index reading. Uses local scanners to digest Chinese and global financial media, Reddit, and Twitter. Features strict market-isolation rules to prevent cross-border misattribution and requires real source URLs.

Capital Market Report (High-Signal Anomaly Edition)

Generates forward-looking business deduction reports based on an "Absolute Impact Threshold." This skill abandons traditional macroeconomic index reading (e.g., "Nasdaq down 1%"), shifting instead to deep scraping of domestic and international forums, news, and social media to lock in supply-chain anomalies and earnings explosion points with extreme expectation gaps.

Core Philosophy (Absolute Impact Threshold)

1. Zero Routine Data: No longer reports routine market data like index points or daily percentage changes. Focuses entirely on nuclear-level anomalies in the business world. 2. Dynamic Capacity: Abolishes mechanical rules like "must have 3-5 items." If only 2 events meet the threshold today, report 2; if 8 major global supply-chain-shaking news break, report all 8. 3. Core on Selected Assets, Inclusive of Global Leaders: While deeply scanning specific target assets (e.g., Chinese ADRs, A/HK tech stocks, AI/consumer/EV supply chains), it absolutely must not miss strategic turning points from global tech giants (e.g., the "Magnificent Seven" or core global AI leaders).

Execution Pipeline & Toolchain

Step 1: Launch Underlying Scanners

You must run the following information scraping tools:

1. Chinese Financial Core News Scraper (Scraping domestic sources like Cailianshe, Wall Street CN, Sina Finance):

cd ~/.openclaw/skills/capital-market-report; uv run scripts/news-processor.py --delta --delta

2. Overseas Anomaly & Rumor Radar (Monitoring Reddit WSB, CoinGecko, Yahoo Finance movers, Google News rumors): *(Note: Requires the stock-analysis skill to be installed)*

uv run ~/.openclaw/skills/stock-analysis/scripts/hot_scanner.py
uv run ~/.openclaw/skills/stock-analysis/scripts/rumor_scanner.py

Step 2: Comprehensive Inclusion of Major Market Events

From the scraped results, retain news based on the following rules:

  • Include All High-Attention Events: Any news heavily discussed by the market (e.g., major AI model releases like Claude/GPT updates, big tech earnings, macro data, geopolitical shifts) MUST be included, even if they perfectly meet market expectations. Do not filter out highly focused topics.
  • Retain Anomalies: Keep extremely strong earnings reversals, supply-chain-level product delays, or major rumors.
  • Red Line: Do not aggressively filter out major news just because it lacks a "shock" factor. If the market cares, it goes in the report.
  • Step 3: Mandatory Source Tracking (Real URL Verification)

    Red Line: Every piece of news reported must include a real source URL Read Original.

  • The URL is natively extracted and provided by the underlying news-processor.py script from the original RSS or HTML feeds.
  • Do not invent URLs or use generic domain homepages. Rely on the exact link returned by the scripts.
  • Step 4: Isolated Deduction & Localization

    Perform strict logical deduction on the selected events:

  • 推测性内容红线(绝对禁止): 任何涉及具体公司立场、态度、游说方向、战略意图的判断,必须有原文明确依据。如果原文没有提及,直接删除该条点评,不要猜测。禁止用"可能"、"倾向于"、"说明"等词包装无原文依据的推断。宁可不写,不可编造。
  • Market Isolation Red Line: Rigorously distinguish the "country/market" where the anomaly occurred. For example, a surge in US domestic airfares can only be deduced as bullish for US airlines and US OTAs; it absolutely cannot be forcefully applied to Chinese companies like Trip.com.
  • If the event is a shock to an overseas giant (e.g., Honda taking a massive loss), the deduction must clarify whether the logical link to its global competitors genuinely holds up.
  • Language Localization: Although this skill description is in English, the final report generated MUST be written in the user's primary conversational language (e.g., if the user communicates in Chinese, the report must be in Chinese).
  • Step 5: Rolling Updates & Delta Extraction (Temporal Event Tracking)

    For multi-source concurrency or rolling reports on the same market event, DO NOT simply discard duplicate news items. Instead, apply strict "Delta Extraction" tracking based on time:

  • Definition of Delta: "Delta" means new information added since the last generated report (temporal delta), NOT whether the news broke market expectations.
  • Baseline Comparison: You MUST read the previous report from ~/.openclaw/workspace-group/memory/last_capital_market_report.md before generating the new report. Use it to compare newly scraped news against the *previous report's* coverage of the same event.
  • Extract Delta (New Information): Specifically pull out any new data, new official statements, or new market reactions that weren't in the previous report.
  • Visual Labeling: Use tiered labeling for event tracking updates. For example:
  • - 🔴 [增量更新 - 关键细节/市场反应] for news containing substantial new facts since the last report. - ⚪ [跟进报道 - 与上次相比无新增] for news that merely repeats facts already covered in the previous report.
  • Save State: After generating the new report, you MUST overwrite ~/.openclaw/workspace-group/memory/last_capital_market_report.md with the exact text of the new report so it is available for the next run.
  • Telegram 排版规则(强制)

  • 绝对禁止使用表格(table) — Telegram 中表格渲染极差,无法阅读
  • 所有信息使用 列表(- / 1.)粗体emoji 组织呈现
  • 多组数据对比用列表嵌套或分段展示
  • 🔴 防幻觉强制规则(Anti-Hallucination Guardrails)

    每次生成报告前必须逐条检查,违反任何一条 = 报告作废。

    规则1:时间校验(Temporal Verification)

  • 每一条涉及公司财报、盘后涨跌、经济数据的新闻,必须确认该事件是否已在当前北京时间发生。
  • 盘后数据规则:北京时间 06:00 之前(美东 18:00 之前),不存在当日美股盘后数据。北京时间 21:00 之前,不存在当日美股收盘数据。
  • 如果盘后数据尚未产生,绝对不写盘后涨跌幅
  • 规则2:财年 vs 日历年(Fiscal vs Calendar Year)

  • 警惕标题中的 "Q1 2026"——部分公司(微软等)财年始于7月,"fiscal Q1 2026" 可能是 2025年7-9月的旧数据。
  • 必须区分财年季度日历季度。若无法确认,标注 "⚠️ 时间存疑"。
  • 规则3:来源可信度分级(Source Credibility)

  • 🔴 禁止引用:Clarqo、Briefly、Quartz 等 AI 内容聚合/摘要站,如果其内容涉及尚未发生的事件(如财报结果发布于实际财报日之前),直接丢弃该条。
  • 🟡 谨慎引用:AI 生成的内容农场——如果同一事件在 BBC/Reuters/Bloomberg 等可信源中找不到交叉验证,直接丢弃。
  • 🟢 可信来源:Reuters、Bloomberg、BBC、WSJ、FT、CNBC、官方 IR 页面、公司新闻稿。
  • 规则4:如实汇报(Honest Reporting)

  • 如果某条新闻无法确认时间或来源真伪,在报告中标注 "⚠️ 无法确认时间/来源",而不是编造细节
  • 宁缺毋滥:如果只有一个可靠来源,就只报一个。绝不为了凑篇幅而引用可疑来源。
  • 规则5:交叉验证(Cross-Verification)

  • 涉及具体财务数据(营收、EPS、增速、涨跌幅)的新闻,必须有至少一个可信来源的交叉验证。
  • 如果所有来源都是 AI 内容农场或无法验证,该条丢弃
  • 翻译规则

  • 英文标题必须翻译为中文: 报告中出现的带 [EN] 标签的英文标题,必须翻译为中文,同时保留英文原标题在括号中。
  • 格式: 中文翻译(English Original Title)
  • 翻译由模型在生成报告时完成,news-processor.py 仅负责数据采集。
  • 中英文新闻平衡规则

  • 每条报告必须至少包含3-5条 🇨🇳 中国公司/中国市场的新闻
  • 不要只关注美国科技巨头,中国企业(A股、港股、中概股)的动态必须占据显著篇幅
  • 如果某时段中国新闻偏少,可以适当多选取几条;如果重大中文新闻密集,可以超过英文数量
  • 🔬 行业先行指标扫描(每报必查)

    简报核心目标:帮 Phil 赚钱,不是了解国际形势。先行信号同时关注利好和利空——做空信号的交易价值与做多信号完全对等。

    通用框架(适用所有行业)

    | 信号类别 | 通用问题 | 可信数据源 | |----------|----------|------------| | 产能/供给 | 行业产能收缩/扩张?减产/转产/停产? | 公司财报/电话会、行业研究 | | 价格/成本 | 上游原材料/中间品价格异动?合约价趋势? | 行业定价基准 | | 订单/需求 | 龙头在手订单/backlog/交期变化? | 电话会transcript、供应链调研 | | capex/资本 | 下游大客户资本开支调整?行业capex周期? | 大客户财报、行业capex指引 |

    AI 全产业链监控

    传导链路:上游硬件 → 中游云设施 → 下游应用(间隔2-4周)

    🔴 上游硬件(最先感知):

  • GPU出货/交期(NVDA)
  • HBM产能售罄年份(MU/SK Hynix/Samsung)
  • NAND/HDD库存水平(WDC/STX/SNDK)
  • 服务器CPU出货(INTC/AMD)
  • 电力/冷却基础设施
  • 🟡 中游云设施(验证需求):

  • 四大云厂商(AMZN/MSFT/GOOGL/META)capex指引
  • AI收入增速
  • 数据中心开工/电力合同
  • 🟢 下游应用(验证商业化):

  • 企业AI支出/订阅增速
  • AI终端设备出货
  • 自动驾驶/Robotaxi扩张
  • AI广告/搜索收入
  • 🇨🇳 中国AI应用:微信AI/百度AI/字节豆包用户量 → 小米AI手机/PC出货 → 比亚迪/小鹏智能驾驶
  • 标注规则

  • 单一先行指标触发 → ⚡ [行业 先行信号]
  • 同一行业 2+ 指标同时触发 → 🔥🔥🔥 [行业 多重先行信号]
  • 跨行业共振(如芯片+云capex同时亮灯)→ 🚨🚨🚨 [全链条先行信号共振] — 最高级别预警
  • 监控板块(非公司白名单)

    > 公司列不完。以下为板块索引——实际监控从news-processor.py抓取的所有新闻动态匹配,不限所列名称。

    AI上游硬件:GPU/加速器(NVDA/寒武纪/海光等)、HBM/DRAM(MU/SK Hynix/Samsung等)、NAND/HDD(WDC/STX等)、CPU(INTC/AMD/ARM等) 🇨🇳 中国半导体:AI芯片设计(寒武纪/海光等)、晶圆代工(中芯/华虹等)、服务器/算力(中科曙光/浪潮等)、存储(长江存储/长鑫等) AI中游云:超大规模(AMZN/MSFT/GOOGL/META)、🇨🇳 中国云(腾讯/阿里/百度/华为)、数据中心REITs AI下游:企业AI软件(PLTR/CRM等)、🇨🇳 AI应用(科大讯飞/金山等)、AI终端(苹果/小米)、自动驾驶(Waymo/PONY/百度/Tesla) 能源/电力:数据中心电力(VRT/CEG)、电网 消费/出海:电商(PDD/阿里/美团/京东)、新能源车(比亚迪/小米/蔚小理)

    传导顺序:HBM内存(最先被抽空) → SSD/HDD存储 → CPU处理器(最后验证)。全链条传导时间约6-8周。

    Report Output Format

    以下为最终模板,每条报告严格按此格式输出。

    顶部区域(必须)

    📊 资本市场绝对影响力简报 | YYYY-MM-DD HH:MM

    ⚠️ Delta说明:vs 上一版(HH:MM)。X小时增量:[核心变化简述,5-8项关键词]


    🔬 先行信号扫描

    | 象限 | 板块 | 状态 | 信号 | |------|------|------|------| | 产能/供给 | ... | 🟢/⚡/🔥 | ... | | 价格/成本 | ... | ... | ... | | 订单/需求 | ... | ... | ... | | capex/资本 | ... | ... | ... |

    综合判断:[无异常 / ⚡单信号 / 🔥🔥🔥多重信号 / 🚨🚨🚨全链条共振]


    主体区域:增量新闻 + 严谨推导

    每条新闻按以下格式,逐条排列:

    ## 🟢/🔴/🟡 [增量类型 — 事件标题] emoji

    vs HH:MM版增量:[一句话说明与上一版的差异]

    来源:来源A(阅读原文)/ 来源B(阅读原文)🟢/🟡 可信度标注

    核心

  • 关键数据/事实点1
  • 关键数据/事实点2
  • 严谨推导

  • 🟢/🔴/🟡 多角度推导
  • 🇨🇳 如涉及中国市场,单独标注
  • ⚡ 如涉及先行信号,单独标注
  • 增量类型标签

  • [增量更新] — 已在上版覆盖,本版有新的细节/数据/反应
  • [全新] — 上版未覆盖的新事件
  • [跟进] — 进展有限,做简要追踪
  • 底部区域(必须)

    ## 📋 本版 vs HH:MM版 核心Delta总结

    | 事件 | 方向 | HH:MM状态 | 当前状态 | |------|------|-----------|----------| | ... | 🟢/🔴 | ... | ... |

    🔥 关键日历窗口

    | 时间 | 事件 | 重要性 | |------|------|--------| | ... | ... | 🔥🔥🔥🔥🔥 |


    ⚠️ 防幻觉校验:✅ 逐条确认...

    ⏰ 数据截止:... *⚠️ 免责:基于公开信息,不构成投资建议。*