Market Environment Analysis

作者 wind-alice213b170db8a3無授權條款收錄於 2026年10月8日更新於 2026年10月8日

Comprehensive market environment analysis and reporting tool. Analyzes global markets including US, European, Asian markets, forex, commodities, and economic indicators. Provides risk-on/risk-off assessment, sector analysis, and technical indicator interpretation. Triggers on keywords like market analysis, market environment, global markets, trading environment, market conditions, investment climate, market sentiment, forex analysis, stock market analysis, 相場環境, 市場分析, マーケット状況, 投資環境.

AI 產生的概覽

分析全球股市、外匯、大宗商品與指標的市場環境,並產出結構化的市場報告。

功能
蒐集主要股指、匯率、大宗商品價格、美國公債殖利率與 VIX 等市場資料,並評估趨勢方向、風險偏好(risk-on/risk-off)、波動度與類股輪動。接著將結果整理為標準報告,包含摘要、各地區市場概況、外匯與大宗商品走勢、關鍵事件、風險因素與策略意涵。此技能附帶一支 Python 工具腳本,用於產生報告標題、判斷交易時段、解讀 VIX 水位與格式化漲跌幅,並提供指標與分析模式的參考文件。
適用情境
當你需要定期掌握全球交易環境時使用,例如撰寫每日或每週市場綜述,或為投資決策解讀風險情緒與波動度。也適合依特定交易風格客製的股市、外匯或大宗商品市場評論。
執行需求
需要網路搜尋工具取得最新市場資料,需要 Python 執行環境來執行 scripts/market_utils.py,並需存取隨附的參考文件。未說明需要任何憑證。

Market Environment Analysis

Comprehensive analysis tool for understanding market conditions and creating professional market reports anytime.

Core Workflow

1. Initial Data Collection

Collect latest market data using web_search tool:

  1. Major stock indices (S&P 500, NASDAQ, Dow, Nikkei 225, Shanghai Composite, Hang Seng)
  2. Forex rates (USD/JPY, EUR/USD, major currency pairs)
  3. Commodity prices (WTI crude, Gold, Silver)
  4. US Treasury yields (2-year, 10-year, 30-year)
  5. VIX index (Fear gauge)
  6. Market trading status (open/close/current values)

2. Market Environment Assessment

Evaluate the following from collected data:

  • Trend Direction: Uptrend/Downtrend/Range-bound
  • Risk Sentiment: Risk-on/Risk-off
  • Volatility Status: Market anxiety level from VIX
  • Sector Rotation: Where capital is flowing

3. Report Structure

Standard Report Format:
1. Executive Summary (3-5 key points)2. Global Market Overview   - US Markets   - Asian Markets   - European Markets3. Forex & Commodities Trends4. Key Events & Economic Indicators5. Risk Factor Analysis6. Investment Strategy Implications

Script Usage

market_utils.py

Provides common functions for report creation:

bash
# Generate report headerpython scripts/market_utils.py
# Available functions:- format_market_report_header(): Create header- get_market_session_times(): Check trading hours- categorize_volatility(vix): Interpret VIX levels- format_percentage_change(value): Format price changes

Reference Documentation

Key Indicators Interpretation (references/indicators.md)

Reference when you need:

  • Important levels for each index
  • Technical analysis key points
  • Sector-specific focus areas

Analysis Patterns (references/analysis_patterns.md)

Reference when analyzing:

  • Risk-on/Risk-off criteria
  • Economic indicator interpretation
  • Inter-market correlations
  • Seasonality and market anomalies

Output Examples

Quick Summary Version

📊 Market Summary [2025/01/15 14:00]━━━━━━━━━━━━━━━━━━━━━【US】S&P 500: 5,123.45 (+0.45%)【JP】Nikkei 225: 38,456.78 (-0.23%)【FX】USD/JPY: 149.85 (↑0.15)【VIX】16.2 (Normal range)
⚡ Key Events- Japan GDP Flash- US Employment Report
📈 Environment: Risk-On Continues

Detailed Analysis Version

Start with executive summary, then analyze each section in detail. Key clarifications:

  1. Current market phase (Bullish/Bearish/Neutral)
  2. Short-term direction (1-5 days outlook)
  3. Risk events to monitor
  4. Recommended position adjustments

Important Considerations

Timezone Awareness

  • Consider all major market timezones
  • US markets: Evening to early morning (Asian time)
  • European markets: Afternoon to evening (Asian time)
  • Asian markets: Morning to afternoon (Local time)

Economic Calendar Priority

Categorize by importance:

  • ⭐⭐⭐ Critical (FOMC, NFP, CPI, etc.)
  • ⭐⭐ Important (GDP, Retail Sales, etc.)
  • ⭐ Reference level

Data Source Priority

  1. Official releases (Central banks, Government statistics)
  2. Major financial media (Bloomberg, Reuters)
  3. Broker reports
  4. Analyst consensus estimates

Troubleshooting

Data Collection Notes

  • Check market holidays (holiday calendars)
  • Be aware of daylight saving time changes
  • Distinguish between flash and final data

Market Volatility Response

  1. First organize the facts
  2. Reference historical similar events
  3. Verify with multiple sources
  4. Maintain objective analysis

Customization Options

Adjust based on user's investment style:

  • Day Traders: Intraday charts, order flow focus
  • Swing Traders: Daily/weekly technicals emphasis
  • Long-term Investors: Fundamentals, macro economics focus
  • Forex Traders: Currency correlations, interest rate differentials
  • Options Traders: Volatility analysis, Greeks monitoring

來源與署名

來源:wind-alice/alicemarket位於skills/market-environment-analysis提交213b170

授權條款: 無授權條款

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