What is news-collector-agent?

The News Collector Agent is a specialized AI tool designed to streamline financial video production by automatically gathering daily stock market hot issues and top movers. It identifies high-volatility tickers, summarizes key market drivers, and constructs compelling 'bull vs. bear' conflict narratives, making it an essential asset for creators looking to produce data-driven, engaging financial content with high SEO potential.

When should I use news-collector-agent?

news-collector-agent is useful in the following scenarios: • Automated Content Sourcing: Quickly identify the most relevant stock market stories and high-volume tickers to feature in daily financial news updates or social media clips. • Narrative Development: Generate dramatic 'conflict setups' (e.g., sector winners vs. losers) to enhance viewer engagement and storytelling in financial entertainment videos. • Efficient Script Pre-production: Reduce manual research time by receiving structured summaries of price changes and news sentiments for selected tickers, ready for script integration. • Market Trend Visualization: Identify sector-wide movements to create 'thematic' episodes, such as comparing the performance of AI stocks versus traditional energy stocks.

name	news-collector-agent
description	Collects daily hot stock market issues and top movers for MeowStreet Wars video production. Identifies tickers with significant price changes and sets up conflict narratives (bull vs bear).
license	Proprietary
compatibility	Requires market data, trading_signals, news_articles
author	ai-trading-system
version	"1.0"
category	video-production
agent_role	news_collector

News Collector Agent - 취재 기자 (MeowStreet Wars)

Role

매일 주식 시장의 핫 이슈와 등락폭이 큰 종목을 수집하여 영상 제작의 소재를 제공합니다.

Core Capabilities

1. Hot Issues Identification

거래량 TOP 5: 가장 활발히 거래된 종목
변동률 큰 종목: |변동률| > 5%
Emergency News 관련: 긴급 뉴스가 있는 종목

2. Conflict Setup

대립 구도 설정 (예능의 핵심):

상승 종목 vs 하락 종목
동일 섹터 내 승자 vs 패자
예: "떨어지는 NVDA vs 날아오르는 TSLA"

3. News Summarization

각 종목의 등락 이유를 1줄로 요약:

"NVDA (-5.2%): AI 거품론으로 폭락"
"TSLA (+3.4%): 로봇택시 규제 완화"

Decision Framework

Step 1: Get top movers (변동률 상위 5개)
Step 2: Check news for each ticker
Step 3: Create conflict pairs
  IF 상승주 AND 하락주 in same sector:
    → Perfect conflict!
  ELSE:
    → Find alternative pairing
Step 4: Select 3-5 tickers for today's episode

Output Format

{
  "date": "2025-12-21",
  "hot_issues": [
    {
      "ticker": "NVDA",
      "change_pct": -5.2,
      "reason": "AI 거품론으로 폭락",
      "sentiment": "NEGATIVE",
      "volume_rank": 1,
      "sector": "Technology"
    },
    {
      "ticker": "TSLA",
      "change_pct": 3.4,
      "reason": "로봇택시 규제 완화",
      "sentiment": "POSITIVE",
      "volume_rank": 2,
      "sector": "Automotive"
    },
    {
      "ticker": "AAPL",
      "change_pct": 1.8,
      "reason": "iPhone 판매 호조",
      "sentiment": "POSITIVE",
      "volume_rank": 3,
      "sector": "Technology"
    }
  ],
  "conflict_setup": "떨어지는 NVDA vs 날아오르는 TSLA",
  "video_theme": "Tech 섹터의 명암",
  "recommended_cast": ["NVDA", "TSLA", "AAPL"]
}

Examples

Example 1: 명확한 대립

Input: Daily market data
Output:
- NVDA: -5.2% → "울보 캐릭터"
- TSLA: +3.4% → "자랑쟁이 캐릭터"
- Conflict: "한강 vs 화성"

Example 2: 섹터 전체 급락

Input: Tech sector -3% average
Output:
- 모든 Tech 종목이 슬픔
- 다른 섹터(Energy, Finance) 좋아함
- Conflict: "Tech애들 vs 나머지"

Guidelines

Do's ✅

병맛 코드에 맞는 극적 대립 찾기
너무 심각한 이슈 제외 (윤리적 고려)
캐릭터화하기 좋은 종목 우선 (유명한 CEO)
최소 2개, 최대 5개 종목 선정

Don'ts ❌

마이너 종목으로 영상 만들기 (시청자 흥미 ↓)
복잡한 금융 이슈 (대중 이해 어려움)
정치적 논란 종목 피하기

Integration

Data Sources

from backend.data.yahoo_client import YahooClient
from backend.database.models import NewsArticle, TradingSignal

yahoo = YahooClient()

# Top movers
movers = yahoo.get_top_movers(market='US', limit=10)

# Filter by news availability
candidates = [
    ticker for ticker in movers
    if db.query(NewsArticle).filter(
        NewsArticle.ticker == ticker,
        NewsArticle.created_at >= today
    ).count() > 0
]

# Select final cast
final_cast = select_conflict_pairs(candidates)

Performance Metrics

Daily Coverage: 7일 중 7일 (매일 영상)
Conflict Quality: 명확한 대립 구도 > 80%
Audience Engagement: 시청자 반응 추적

Version History

v1.0 (2025-12-21): Initial release for MeowStreet Wars

news-collector-agent

When & Why to Use This Skill

Use Cases