Market News Analyst

在分析最近影响市场的新闻事件及其对股票市场和大宗商品的影响时，应该使用这项技能。当用户请求分析过去 10 天的主要财经新闻、想要了解市场对货币政策决策（FOMC、ECB、BOJ）的反应、需要评估地缘政治事件对大宗商品的影响或需要全面审查大型股的盈利公告时，请使用此技能。该技能使用 WebSearch/WebFetch 工具自动收集新闻并生成影响排名的分析报告。所有的分析思维和输出都是用英语进行的。

## 概述（中文）

在分析最近影响市场的新闻事件及其对股票市场和大宗商品的影响时，应该使用这项技能。当用户请求分析过去 10 天的主要财经新闻、想要了解市场对货币政策决策（FOMC、ECB、BOJ）的反应、需要评估地缘政治事件对大宗商品的影响或需要全面审查大型股的盈利公告时，请使用此技能。该技能使用 WebSearch/WebFetch 工具自动收集新闻并生成影响排名的分析报告。所有的分析思维和输出都是用英语进行的。

## 原文

# Market News Analyst

## Overview

This skill enables comprehensive analysis of market-moving news events from the past 10 days, focusing on their impact on US equity markets and commodities. The skill automatically collects news from trusted sources using WebSearch and WebFetch tools, evaluates market impact magnitude, analyzes actual market reactions, and produces structured English reports ranked by market impact significance.

## When to Use This Skill

Use this skill when:
- User requests analysis of recent major market news (past 10 days)
- User wants to understand market reactions to specific events (FOMC decisions, earnings, geopolitical)
- User needs comprehensive market news summary with impact assessment
- User asks about correlations between news events and commodity price movements
- User requests analysis of how central bank policy announcements affected markets

Example user requests:
- "Analyze the major market news from the past 10 days"
- "How did the latest FOMC decision impact the market?"
- "What were the most important market-moving events this week?"
- "Analyze recent geopolitical news and commodity price reactions"
- "Review mega-cap tech earnings and their market impact"

## Analysis Workflow

Follow this structured 6-step workflow when analyzing market news:

### Step 1: News Collection via WebSearch/WebFetch

**Objective:** Gather comprehensive news from the past 10 days covering major market-moving events.

**Search Strategy:**

Execute parallel WebSearch queries covering different news categories:

**Monetary Policy:**
- Search: "FOMC meeting past 10 days", "Federal Reserve interest rate", "ECB policy decision", "Bank of Japan"
- Target: Central bank decisions, forward guidance changes, inflation commentary

**Inflation/Economic Data:**
- Search: "CPI inflation report [current month]", "jobs report NFP", "GDP data", "PPI producer prices"
- Target: Major economic data releases and surprises

**Mega-Cap Earnings:**
- Search: "Apple earnings [current quarter]", "Microsoft earnings", "NVIDIA earnings", "Amazon earnings", "Tesla earnings", "Meta earnings", "Google earnings"
- Target: Results, guidance, market reactions for largest companies

**Geopolitical Events:**
- Search: "Middle East conflict oil prices", "Ukraine war", "US China tensions", "trade war tariffs"
- Target: Conflicts, sanctions, trade disputes affecting markets

**Commodity Markets:**
- Search: "oil prices news past week", "gold prices", "OPEC meeting", "natural gas prices", "copper prices"
- Target: Supply disruptions, demand shifts, price movements

**Corporate News:**
- Search: "major M&A announcement", "bank earnings", "tech sector news", "bankruptcy", "credit rating downgrade"
- Target: Large corporate events beyond mega-caps

**Recommended News Sources (Priority Order):**
1. Official sources: FederalReserve.gov, SEC.gov (EDGAR), Treasury.gov, BLS.gov
2. Tier 1 financial news: Bloomberg, Reuters, Wall Street Journal, Financial Times
3. Specialized: CNBC (real-time), MarketWatch (summaries), S&P Global Platts (commodities)

**Search Execution:**
- Use WebSearch for broad topic searches
- Use WebFetch for specific URLs from official sources or major news outlets
- Collect publication dates to ensure news is within 10-day window
- Capture: Event date, source, headline, key details, market context (pre-market, trading hours, after-hours)

**Filtering Criteria:**
- Focus on Tier 1 market-moving events (see references/market_event_patterns.md)
- Prioritize news with clear market impact (price moves, volume spikes)
- Exclude: Stock-specific small-cap news, minor product updates, routine filings

Think in English throughout collection process. Document each significant news item with:
- Date and time
- Event type (monetary policy, earnings, geopolitical, etc.)
- Source reliability tier
- Initial market reaction (if observable)

### Step 2: Load Knowledge Base References

**Objective:** Access domain expertise to inform impact assessment.

Load relevant reference files based on collected news types:

**Always Load:**
- `references/market_event_patterns.md` - Comprehensive patterns for all major event types
- `references/trusted_news_sources.md` - Source credibility assessment

**Conditionally Load (Based on News Collected):**

If **monetary policy news** found:
- Focus on: market_event_patterns.md → Central Bank Monetary Policy Events section
- Key frameworks: Interest rate hike/cut reactions, QE/QT impacts, hawkish/dovish tone

If **geopolitical events** found:
- Load: `references/geopolitical_commodity_correlations.md`
- Focus on: Energy Commodities, Precious Metals, regional frameworks matching event

If **mega-cap earnings** found:
- Load: `references/corporate_news_impact.md`
- Focus on: Specific company sections, sector contagion patterns

If **commodity news** found:
- Load: `references/geopolitical_commodity_correlations.md`
- Focus on: Specific commodity sections (Oil, Gold, Copper, etc.)

**Knowledge Integration:**
Compare collected news against historical patterns to:
- Predict expected market reactions
- Identify anomalies (market reacted differently than historical pattern)
- Assess whether reaction was typical magnitude or outsized
- Determine if contagion occurred as expected

### Step 3: Impact Magnitude Assessment

**Objective:** Rank each news event by market impact significance.

**Impact Assessment Framework:**

For each news item, evaluate across three dimensions:

**1. Asset Price Impact (Primary Factor):**

Measure actual or estimated price movements:

**Equity Markets:**
- Index-level: S&P 500, Nasdaq 100, Dow Jones
  - Severe: ±2%+ in day
  - Major: ±1-2%
  - Moderate: ±0.5-1%
  - Minor: ±0.2-0.5%
  - Negligible: <0.2%

- Sector-level: Specific sector ETFs
  - Severe: ±5%+
  - Major: ±3-5%
  - Moderate: ±1-3%
  - Minor: <1%

- Stock-specific: Individual mega-caps
  - Severe: ±10%+ (and index weight causes index move)
  - Major: ±5-10%
  - Moderate: ±2-5%

**Commodity Markets:**
- Oil (WTI/Brent):
  - Severe: ±5%+
  - Major: ±3-5%
  - Moderate: ±1-3%

- Gold:
  - Severe: ±3%+
  - Major: ±1.5-3%
  - Moderate: ±0.5-1.5%

- Base Metals (Copper, etc.):
  - Severe: ±4%+
  - Major: ±2-4%
  - Moderate: ±1-2%

**Bond Markets:**
- 10-Year Treasury Yield:
  - Severe: ±20bps+ in day
  - Major: ±10-20bps
  - Moderate: ±5-10bps

**Currency Markets:**
- USD Index (DXY):
  - Severe: ±1.5%+
  - Major: ±0.75-1.5%
  - Moderate: ±0.3-0.75%

**2. Breadth of Impact (Multiplier):**

Assess how many markets/sectors affected:

- **Systemic (3x multiplier):** Multiple asset classes, global markets
  - Examples: FOMC surprise, banking crisis, major war outbreak

- **Cross-Asset (2x multiplier):** Equities + commodities, or equities + bonds
  - Examples: Inflation surprise, geopolitical supply shock

- **Sector-Wide (1.5x multiplier):** Entire sector or related sectors
  - Examples: Tech earnings cluster, energy policy announcement

- **Stock-Specific (1x multiplier):** Single company (unless mega-cap with index impact)
  - Examples: Individual company earnings, M&A

**3. Forward-Looking Significance (Modifier):**

Consider future implications:

- **Regime Change (+50%):** Fundamental market structure shift
  - Examples: Fed pivot from hiking to cutting, major geopolitical realignment

- **Trend Confirmation (+25%):** Reinforces existing trajectory
  - Examples: Consecutive strong inflation prints, sustained earnings beats

- **Isolated Event (0%):** One-off with limited forward signal
  - Examples: Single data point within range, company-specific issue

- **Contrary Signal (-25%):** Contradicts prevailing narrative
  - Examples: Good news ignored by market, bad news rallied

**Impact Score Calculation:**

```
Impact Score = (Price Impact Score ×