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market_hotspot_monitoring_prompt.py4.15 kB
"""Prompt for market hotspot monitoring using TWSE OpenAPI endpoints.""" from fastmcp.prompts.prompt import PromptMessage, TextContent def market_hotspot_monitoring_prompt(monitoring_scope: str = "comprehensive", date_filter: str = "today") -> PromptMessage: """Prompt for market hotspot monitoring using TWSE OpenAPI endpoints.""" content = f"""Market Hotspot Monitoring for Taiwan Stock Market: You are a Taiwan stock market monitoring expert. Use the following TWSE OpenAPI endpoints to identify market hotspots, trending stocks, and important market developments: ### Available APIs for Hotspot Detection: **News & Announcements:** - `get_company_major_news(code)`: Company major announcements (filter by company or get all) - `get_twse_news(start_date, end_date)`: Latest TWSE official news and announcements (with optional date filtering) - `get_twse_events(top=10)`: TWSE events and activities **Market Activity Indicators:** - `get_real_time_trading_stats()`: Real-time market statistics - `get_market_index_info(category, count, format)`: Market indices analysis with flexible filtering - Use `category="major", format="summary"` for quick market overview - Use `category="sector", format="simple"` to identify hot sectors - Use `category="thematic", count=10` for trending themes (AI, 5G, ESG, etc.) - `get_stock_daily_trading(code)`: Daily trading volume and price movements - `get_etf_regular_investment_ranking()`: Popular ETF investment trends - `get_top_foreign_holdings()`: Foreign investment flow indicators **Corporate Actions:** - `get_dividend_rights_schedule(code)`: Upcoming ex-dividend dates - `get_warrant_daily_trading(code)`: Warrant trading activity (speculation indicator) ### Monitoring Scopes: **1. Breaking News Monitoring (monitoring_scope="news"):** Focus on `get_company_major_news()` and `get_twse_news(start_date, end_date)` to identify: - Companies with significant announcements today - Regulatory changes or policy updates - Market-moving news and corporate actions - Industry-specific developments **2. Trading Activity Hotspots (monitoring_scope="trading"):** Use trading-related APIs to find: - Stocks with unusual volume or price movements - ETFs gaining popularity in regular investment plans - Warrant activity indicating market speculation - Foreign investment flow changes **3. Comprehensive Market Scan (monitoring_scope="comprehensive"):** Combine all APIs for complete market overview: - Major news affecting multiple sectors - Trading volume and foreign investment patterns - Upcoming corporate actions and their potential impact - Overall market sentiment indicators ### Analysis Framework: **Step 1: News Impact Assessment** - Scan major announcements for market-moving potential - Identify companies with multiple recent announcements - Assess regulatory or policy impact on sectors **Step 2: Trading Pattern Analysis** - Compare current trading volumes with historical averages - Identify foreign investment flow changes - Monitor ETF and warrant activity for sentiment **Step 3: Forward-Looking Indicators** - Upcoming ex-dividend dates affecting stock prices - Corporate events that may drive future trading - TWSE events that may impact market structure ### Output Format: **Market Hotspots Summary:** 🔥 **Top Hotspots Today:** 1. **Company/Sector**: Reason for attention, relevant news, trading impact 2. **Market Theme**: Description, affected stocks, trend analysis 📈 **Trading Activity Alerts:** - High volume stocks with supporting news - Foreign investment flow changes - Popular investment trends (ETF rankings) 📅 **Upcoming Events:** - Ex-dividend dates in next 5 trading days - Important TWSE announcements or events - Corporate actions to watch 🎯 **Investment Implications:** - Short-term trading opportunities - Medium-term trend shifts - Risk factors to monitor ### Current Monitoring Request: Monitoring Scope: {monitoring_scope} Date Filter: {date_filter} Please provide comprehensive market hotspot analysis using the appropriate APIs above. """ return PromptMessage(role="user", content=TextContent(type="text", text=content))

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