Market Environment Analysis

作者 wind-alice213b170db8a3无许可证收录于 2026年10月8日更新于 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 生成的概览

分析全球股市、外汇、大宗商品与指标的市场环境,并生成结构化的市场报告。

功能
收集主要股指、汇率、大宗商品价格、美国国债收益率和 VIX 等市场数据,并评估趋势方向、风险偏好(risk-on/risk-off)、波动率和板块轮动。随后将结果整理为标准报告,包含摘要、各地区市场概览、外汇与大宗商品走势、关键事件、风险因素和策略启示。该技能附带一个 Python 工具脚本,用于生成报告标题、判断交易时段、解读 VIX 水平和格式化涨跌幅,并提供指标与分析模式的参考文档。
适用场景
当你需要定期了解全球交易环境时使用,例如撰写每日或每周市场综述,或为投资决策解读风险情绪与波动率。也适用于按特定交易风格定制的股市、外汇或大宗商品市场评论。
运行要求
需要联网搜索工具获取最新市场数据,需要 Python 运行环境来执行 scripts/market_utils.py,并需访问随附的参考文档。未说明需要任何凭据。

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

来源与署名

来源:wind-alice/alicemarket位于skills/market-environment-analysis提交213b170

许可证: 无许可证

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