【LIVESTREAM RECAP|Quantitative Anaysis Framework & Trading Logic for AI + Semiconductor Investing】
Hi Tigers! In this session a quant researcher walked us through AI and semiconductor investing using just four words — market, business, price, and risk. The flow was clean: first, is the macro environment helping us or fighting us; then, is the AI demand story still real; next, is this a good place to enter on the chart; and finally, what do we do if we're wrong. Along the way he brought in long-term yields, VIX, QQQ, and SOXX — the indicators you can actually use — and kept it substantive, never hand-wavy.
Full replay 👉 Quantitative Anaysis Framework & Trading Logic for AI + Semiconductor Investing
【ABOUT THE GUEST】
Our speaker, Dr. Franklin Wu, holds a PhD from the University of Chicago. After graduation he joined a top brokerage in China, and he is now a quantitative researcher at a financial institution in Shanghai. His background blends physics, quant research, and strategy development. What makes his perspective rare: instead of buying stocks based on stories, he uses data and frameworks to separate the information that matters from the noise.
【HIGHLIGHTS】
1. A four-word framework: market → business → price → risk, so you don't pick a ticker first and hunt for reasons after.
2. Three counterintuitive takeaways: AI semis are still strong but not every "AI" stock wins; rates hit high-valuation tech harder than earnings; 3x ETFs are not 3x long-term returns.
3. A practical dashboard: just five reads — 10Y Treasury yield, Fed expectations, VIX, QQQ, and SOXX.
Live Recap:
Live Recap 1: A Hawkish Jackson Hole, the "Bessent Put," and Why Tech Is Watching the 30-Year
Live Recap 2: Why Semiconductors Are Still the "Hard Currency" of the AI Trade
Live Recap 3: Turning a Bullish View Into a Trade — Technicals, QQQ and SPCX Case Studies
Live Recap 4: Leveraged ETFs, the September Playbook, and Q&A Highlights
【THIS CLIP】Four checks before you trade: macro, industry, technicals, and risk. Franklin compresses his working dashboard to just five reads — the 10Y Treasury yield, Fed expectations, VIX, QQQ, and SOXX — and shows how to read them: if QQQ looks fine but SOXX is struggling, money still likes tech but is getting careful with the more volatile chip names. Why it lands: he keeps insisting on not piling up a dozen indicators — that only creates a dozen reasons to be confused. A simple dashboard used consistently is what's actually powerful.
We genuinely recommend watching the full replay — the parts many people skip are exactly how rates transmit to tech step by step, and why 3x ETFs struggle to recover long term. Fill those in and your read on AI investing gets a lot more grounded.
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(For education only, not investment advice.)
Full replay 👉 Quantitative Anaysis Framework & Trading Logic for AI + Semiconductor Investing
Comments
像这套五指标——10年期美债收益率、Fed预期、VIX、QQQ、SOXX——其实已经能把“宏观、风险偏好、科技趋势、半导体强弱”串起来。尤其我很认同一个判断:如果 QQQ还强、SOXX却明显走弱,说明资金并没有放弃科技,只是开始回避波动更大的芯片,这时候继续重仓半导体就要更谨慎。
这比堆十几个技术指标更实用,因为指标越多,越容易出现“这个看多、那个看空”,最后只剩下为自己原来的仓位找理由。
所以我以后更愿意固定一个简单流程:先看利率,再看VIX,然后看QQQ和SOXX是否同步,最后才决定要不要加仓AI。
一句话:好的框架不是帮你预测每一次涨跌,而是让你在市场最混乱的时候,仍然知道自己该看什么。