Market Environment Analysis

作者 tradermontyeab8d5cb97b9無授權條款2.9K 個星標收錄於 2026年10月8日更新於 2026年10月8日儲存庫3 天前更新

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

分析全球市場環境,產出包含風險偏好與指標解讀的結構化市場報告。

功能
蒐集股指、外匯、大宗商品、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)、波動率與類股輪動。產出結構化報告,包含執行摘要、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。附有用於報告標題、市場交易時段、VIX 分級與漲跌幅格式化的 Python 輔助指令碼,以及指標與分析模式的參考文件。
適用情境
當使用者需要市場環境評估、交易環境概況、投資氣候總結或全球市場報告時使用。適用於涵蓋美國、歐洲或亞洲市場、外匯、大宗商品或經濟指標的需求,並可依當沖交易者、波段交易者、長期投資人、外匯或選擇權交易者調整。
執行需求
需要網路搜尋以取得最新市場資料,需要 Python 執行環境以執行隨附指令碼,以及 requirements.txt 中列出的套件。隨附可執行指令碼(market_utils.py、_market_calendar.py)與參考文件。

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:tradermonty/claude-trading-skills位於examples/weekly-trade-strategy/skills/market-environment-analysis提交eab8d5c

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