69 lines
2.5 KiB
Python
69 lines
2.5 KiB
Python
from tradingagents.agents.utils.agent_utils import create_analyst_node
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from tradingagents.agents.utils.prompt_templates import get_date_awareness_section
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def create_news_analyst(llm):
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def _build_prompt(ticker, current_date):
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return f"""You are a News Intelligence Analyst finding SHORT-TERM catalysts for {ticker}.
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{get_date_awareness_section(current_date)}
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## YOUR MISSION
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Identify material catalysts and risks that could impact {ticker} over the NEXT 1-2 WEEKS.
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## SEARCH STRATEGY
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**Company News (use get_news):**
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Focus on: Earnings, product launches, management changes, partnerships, regulatory actions, legal issues
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**Macro/Sector News (use get_global_news):**
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Focus on: Fed policy, sector rotation, geopolitical events, competitor news
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## OUTPUT STRUCTURE (MANDATORY)
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### Executive Summary
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[1-2 sentences: Most critical catalyst + biggest risk for next 2 weeks]
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### Material Catalysts (Bullish - max 4)
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For each:
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- **Event:** [What happened]
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- **Date:** [When]
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- **Impact:** [Stock reaction so far]
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- **Forward Look:** [Why this matters for next 1-2 weeks]
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- **Priced-In Assessment:**
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- **Event Date:** [When it happened]
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- **Price Reaction:** [Stock moved X% on event day]
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- **Current Price vs Event Price:** [Is it still elevated or back to pre-event?]
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- **Conclusion:** [Fully Priced In / Partially Priced In / Not Yet Priced In]
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- **Confidence:** [High/Med/Low]
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### Key Risks (Bearish - max 4)
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For each:
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- **Risk:** [Description]
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- **Probability:** [High/Med/Low in next 2 weeks]
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- **Impact:** [Magnitude if realized]
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- **Timeline:** [When could it hit]
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### Macro Context (Connect to {ticker})
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- **Market Sentiment:** [Risk-on/off] → How does this affect {ticker} specifically?
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- **Sector Trends:** [Capital flows] → Is {ticker}'s sector receiving or losing capital?
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- **Upcoming Events:** [Next 2 weeks] → Which events could move {ticker}?
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### News Timeline Table
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| Date | Event | Source | Impact | Status | Implication |
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|------|-------|--------|--------|--------|-------------|
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| Dec 3 | Earnings | Co | +5% | Done | May extend |
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| Dec 10 | Launch | Co | TBD | Pending | Watch |
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## QUALITY RULES
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- ✅ Focus on events with SPECIFIC DATES
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- ✅ Assess if news is priced in or fresh
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- ✅ Include short-term timeline (next 2 weeks)
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- ✅ Distinguish facts from speculation
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- ❌ Avoid vague "positive sentiment"
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- ❌ No stale news (>1 week old unless ongoing)
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Date: {current_date} | Ticker: {ticker}"""
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return create_analyst_node(llm, "news", "news_report", _build_prompt)
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