【Livestream Clip 2|Ross Dong: 4 Signals Behind the Pullback】

【LIVESTREAM RECAP|Inside the AI Memory Boom: Opportunities and Challenges for SK hynix】

Hi Tigers! In this session we zoomed in on one of the hottest — and most debated — trades right now: AI memory. From the recent pullback in Korean and US memory stocks, to the core question of "is this a top, or just halftime in a longer bull market," all the way to the HBM supply gap, KOSPI valuations, Korea's macro fundamentals, and how open-source AI models are reshaping memory demand — the flow was layered and packed with substance. Ross doesn't dodge the sharp question of "is the AI thesis broken"; instead he unpacks it piece by piece with data, fund flows and industry cycles.

Full replay 👉 Inside the AI Memory Boom: Opportunities and Challenges for SK hynix

【About the Guest】

Our speaker, Ross Dong @Ross_Macro_Trading,, is a founding partner at Morning Cloud Asset Management, specializing in macro trading and US equities. He spent over 15 years as an equity trader at firms like JP Morgan and KCG, and holds a degree in applied mathematics from Columbia University. Ross is known for spotting secular growth trends early; today he manages over $30M in AUM and leads a community of 15,000+ members. What makes his perspective unique: he blends top-down macro logic with bottom-up stock selection, thinking about both industrial/technological cycles and monetary/financial cycles.

【Highlights】

1. Top or halftime: why Ross sees this as a "short-term top and healthy correction," not the end of the AI bull market.

2. Four signals behind the pullback: from hyperscalers leasing compute, to OpenAI's delayed IPO, to capital flowing out of US tech.

3. The HBM supply gap: why capacity expansion for advanced memory still lags structural AI demand.

Live Recap:

【THIS CLIP】

What's really driving this pullback? Ross lays out four signals in one go: hyperscalers possibly pivoting to monetizing excess compute (easing near-term GPU urgency); OpenAI's delayed IPO exposing uncertainty in commercializing frontier closed-source models; market attention shifting from "order visibility" to the inventory cycle and supply expansion; and capital steadily flowing out of US AI and tech since late June. The edge here: he turns "up or down" back into "flows and logic" — far more useful than staring at candlesticks.

We genuinely recommend watching the full replay — many overlooked details (like the rebalancing pace of Korea's NPS, KOSPI's 12-month forward PE dropping to its lowest range in 20 years, and the exact timing of passive ETF inflows) live in the full version. And stay tuned for our upcoming community livestreams — let's keep filling in the gaps and learning together.

🎁 Community Rewards | 500 Tiger Coins Up for Grabs!

Got thoughts on today's session? Head to the comments 👇

  • 🔁 Repost + tag friends, then screenshot it in the comments — first 20 get 10 Tiger Coins each

  • 💬 Watch the replay & drop your biggest takeaway — one thing that stuck with you (a data point, a moment, a quote). We'll pick 10 comments for 20 Tiger Coins each

  • 🔥 Ask a question or share a thought in the comments — we'll draw 10 people for 10 Tiger Coins each

💡 Watch it to the end and follow us — the more you dig in, the more you'll take away. See you in the comments!
(For education only, not investment advice.)

Full replay 👉 Inside the AI Memory Boom: Opportunities and Challenges for SK hynix

Disclaimer: Investing carries risk. This is not financial advice. The above content should not be regarded as an offer, recommendation, or solicitation on acquiring or disposing of any financial products, any associated discussions, comments, or posts by author or other users should not be considered as such either. It is solely for general information purpose only, which does not consider your own investment objectives, financial situations or needs. TTM assumes no responsibility or warranty for the accuracy and completeness of the information, investors should do their own research and may seek professional advice before investing.

Report

Comment3

  • Top
  • Latest
  • TimothyX
    ·07-24 20:32
    TOP
    Ross Dong @Ross_Macro_Trading,, is a founding partner at Morning Cloud Asset Management, specializing in macro trading and US equities. He spent over 15 years as an equity trader at firms like JP Morgan and KCG, and holds a degree in applied mathematics from Columbia University. Ross is known for spotting secular growth trends early; today he manages over $30M in AUM and leads a community of 15,000+ members. What makes his perspective unique: he blends top-down macro logic with bottom-up stock selection, thinking about both industrial/technological cycles and monetary/financial cycles.
    Reply
    Report
  • Cadi Poon
    ·07-24 20:44
    From the recent pullback in Korean and US memory stocks, to the core question of "is this a top, or just halftime in a longer bull market," all the way to the HBM supply gap, KOSPI valuations, Korea's macro fundamentals, and how open-source AI models are reshaping memory demand — the flow was layered and packed with substance
    Reply
    Report
  • BillionaireN
    ·36 minutes ago
    Thank u great insight !!!
    Reply
    Report