AI Market Radar

AI Market Radar

Core Workflow

Use this skill to produce the user's recurring AI/Nasdaq market radar. Treat it as a live market interpretation framework, not a generic market summary.

Always:

• Read references/market_radar_rules_v2_6.md before running a full radar or when details are needed.
• Verify latest prices, news, rates, oil, VIX, earnings, and macro data with web sources.
• Start with the v2.6 action dashboard and a clear level from L1 to L5.
• Separate "theme still alive" from "which subsegments are winning or losing."
• Include regime-risk checks: liquidity, QT/QE, credit stress, private credit, banks, commercial real estate, recession signals, and "good news but stocks do not rise" behavior.
• Show USD figures with KRW conversion beside them whenever dollar amounts appear. Use the latest reasonable USD/KRW rate and state it.
• Keep final actions as market behavior zones such as 관망, 분할 대기, 조정 시 관심, 소액 분할 접근, 추격매수 금지, 리스크 축소, or 방어 우선. Do not frame as personalized investment advice.

Output Shape

For routine "today's market" requests, keep the first screen compact:

종합 레벨:
판정:
행동:

나스닥:
S&P 500:
반도체 / AI 하드웨어:
소프트웨어:
전력 인프라:
TSLA:
ORCL:
OKLO / SMR:
유가 / 지정학:
금리:
VIX:

Then add only the needed detail sections from the v2.6 rule:

• 핵심 뉴스 Top 10
• 반복 테마 Top 10
• 버블 / 붕괴 체크
• 관심 종목 체크
• 신규 주도 섹터 후보
• TSLA AI 재평가 체크
• ORCL AI 인프라 검증 체크
• AI 수혜 단계 레이더
• AI 금융 사이버 리스크 체크
• 단기 조정 / 재상승 신호 체크
• 오늘의 결론

When the user asks for more detail, expand the relevant checklist items and explain why each signal counts.

Standing Interpretive Rules

Prioritize repeated themes and expert-opinion clustering over raw headline volume.

For TSLA, judge re-rating by price behavior:

• Bad auto news hurts less.
• AI, robotics, Robotaxi, Optimus, FSD, or AI chip news matters more.
• Relative strength improves versus QQQ, SMH, auto peers, and relevant AI/robotics baskets.

For ORCL, always check:

• CAPEX fear and whether guidance keeps rising.
• OCI growth and AI demand conversion.
• RPO conversion into revenue.
• FCF deterioration or improvement.
• AI infrastructure margin concerns.
• Stock reaction to CAPEX, OCI, RPO, and customer-risk news.

For the AI value chain, use the staged view:

• Stage 1: GPU / AI accelerator / custom ASIC.
• Stage 2: HBM, server DRAM, enterprise SSD, networking, power management chips.
• Stage 3: CPU, advanced packaging, foundry, data-center power/cooling/electrical equipment.

For AI financial cyber risk, look for:

• Model misuse or zero-day capability reports.
• Large bank, payment network, exchange, broker, or regulator response.
• XLF, KBE, VIX, high-yield spreads, bank CDS, and cybersecurity stock reactions.
• Actual outages, payment delays, data leaks, or deposit/liquidity stress.

Reference

Detailed v2.6 rules live in:

references/market_radar_rules_v2_6.md