Answer In Data: Quant Investing & AI & Coding

Dee
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Data scientist by day, quant investor by night. I build automated trading systems that protect portfolios before crashes happen — not after. On this podcast, I share real trades, real data, and real lessons from running a 44-indicator quant system across US and Korean markets. What you'll get: - Quant investing strategies & risk management frameworks - Vibe coding tutorials with Claude Code & AI tools - Market analysis backed by data, not opinions - Behind-the-scenes of building ML-based trading signals I also run the "데이터가 답이다" YouTube channel and community in Korean, covering everything

Episodes

  1. MAR 12

    How My Quant System Saw the Crash Coming — 2026 Market Outlook

    🎙️ Answer in Data Podcast — EP.01 "How My Quant System Saw the Crash Coming — 2026 Market Outlook" Welcome to the first episode of Answer in Data! I'm Dee, a data scientist and quant investor from Korea. In this episode, I share how my 44-indicator automated trading system responded to the recent market chaos — including the US-Iran airstrikes on February 28th. What happened: - Feb 9: My rotation system hit Level 3 — sold all growth stocks (NVDA, TSLA, etc.) - Bought defensive ETFs (XLP, TLT, DBC) + held 45% cash - Feb 28: Iran crisis hit — my tech exposure was 0%. DBC jumped +9.6%. - Result: Zero losses from the tech crash. System worked exactly as designed. 2026 Full Year Outlook: - Cycle Composite: Why May is the inflection point - RRP Liquidity Tank: It's empty — what that means for spring - Midterm Election Year: 18% average drawdown, but 14% rally after November - My playbook: Cautious through April → Defensive May-Oct → Buy in October Key Insight: I didn't predict the war. My system tracks where money flows — not why. Whether it's war, tariffs, or rates, capital moving to safety looks the same on the charts. That's why this works. 🇰🇷 한국어 채널: 데이터가 답이다 (YouTube) 📱 Instagram: @answer_in_data 🚀 Coming Soon: 개미날다 — ML/Quant based trading signal service (Beta) #QuantInvesting #2026StockMarket #SectorRotation #DataDriven #USStocks #MarketOutlook #TradingSystem #RiskManagement #MidtermElection #AnswerInData

    33 min
  • 1 Episode

About

Data scientist by day, quant investor by night. I build automated trading systems that protect portfolios before crashes happen — not after. On this podcast, I share real trades, real data, and real lessons from running a 44-indicator quant system across US and Korean markets. What you'll get: - Quant investing strategies & risk management frameworks - Vibe coding tutorials with Claude Code & AI tools - Market analysis backed by data, not opinions - Behind-the-scenes of building ML-based trading signals I also run the "데이터가 답이다" YouTube channel and community in Korean, covering everything

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