【Livestream Clip 1｜Dr. Franklin Wu: Franklin's 3 Takeaways: AI Is Strong, But 3x ETFs Mislead You】

TBlive
09-03 17:41

【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】Franklin opens with three core takeaways: AI semis are still one of the strongest growth areas in US stocks, but a name with "AI" in it doesn't automatically win; short term, long-term yields and Fed expectations move prices more than earnings; and SOXL and TQQQ are daily 3x products — not a promise of 3x long-term returns. 💡Why it's worth it: he lays out the most common traps up front, and plenty of people treat intraday leverage as long-term leverage. This clip helps you avoid paying that tuition.

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.

🎁 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 👉 Quantitative Anaysis Framework & Trading Logic for AI + Semiconductor Investing

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

Comment（2）

  • Top
  • Latest
  • 苏36
    ·09-03 18:55
    Franklin’s four-step framework—market, business, price, and risk—is a powerful antidote to ticker-first investing. The biggest takeaway is that a strong AI narrative does not automatically make a stock a good buy. Semiconductor demand can remain structurally strong, yet valuation, long-term Treasury yields, Fed expectations, and market positioning may determine short-term returns. I especially like using QQQ and SOXX as “market thermometers” before taking individual positions. The warning on SOXL and TQQQ is equally valuable: daily 3x leverage is designed to amplify daily moves, not guarantee three times the long-term performance. Volatility can make the compounding effect work against investors. Ultimately, successful AI investing is less about predicting the next winner and more about building a repeatable process: identify the trend, check the price, respect the macro, and define your exit before entering.

    @TBlive [胜利]

    Reply
    Report
  • Jerry Lam
    ·09-03 18:10
    我最大的收获其实不是某只股票，而是这个 “市场 → 商业 → 价格 → 风险” 的顺序。

    很多时候我们看到NVDA、AVGO、MU上涨，就先认定“AI还会继续涨”，再去找理由证明自己。但这个框架提醒我，应该先看 10年期美债收益率和Fed预期，判断估值环境；再看AI订单、Capex、HBM需求是不是真的增长；然后才看QQQ、SOXX的位置值不值得买，最后才决定仓位和止损。

    其中我最认同的一点是：利率短期影响的往往不是公司赚多少钱，而是市场愿意给这些利润多少倍估值。 所以即使AI基本面没坏，10年期收益率突然上冲，高估值半导体照样可能大跌。

    另外对SOXL、TQQQ的提醒也很重要：3倍是每日收益目标，不是长期收益自动乘3。 高波动环境下的路径损耗，可能让方向看对了，长期结果却没有想象中漂亮。

    一句话：AI投资不能只回答“公司好不好”，还要回答“宏观允不允许、价格贵不贵、看错以后亏多少”——这四步比猜下一只翻倍股更有用。

    Reply
    Report