To The Moon

1.Live Review Introduction Review Live >> Tiger Brokers livestream hosted by Esther, featuring Dr. Franklin Wu, Quantitative Researcher at a financial institution in Shanghai. Closing out the session, Franklin covered how (and when) leveraged ETFs fit into an AI/semiconductor trade, laid out three scenarios for September, and took audience questions. Disclaimer: The views expressed are those of the guest speaker and do not represent the official views of Tiger Brokers or its affiliates. This content is strictly for education and discussion purposes and does not constitute financial advice. Catch up on the full recap series

1.Live Review Introduction Review Live >> Tiger Brokers livestream hosted by Esther, featuring Dr. Franklin Wu, Quantitative Researcher at a financial institution in Shanghai. Having covered the macro backdrop and the AI compute chain, Franklin turned to execution — how to turn a directional view into an actual, risk-defined trade. Disclaimer: The views expressed are those of the guest speaker and do not represent the official views of Tiger Brokers or its affiliates. This content is strictly for education and discussion purposes and does not constitute financial advice. Catch up on the full recap series

1.Live Review Introduction Review Live >> Tiger Brokers livestream hosted by Esther, featuring Dr. Franklin Wu, Quantitative Researcher at a financial institution in Shanghai. With the macro backdrop set, Franklin turned to the AI compute chain itself — mapping where the real demand and profit pool sit, beyond just Nvidia. Disclaimer: The views expressed are those of the guest speaker and do not represent the official views of Tiger Brokers or its affiliates. This content is strictly for education and discussion purposes and does not constitute financial advice. Catch up on the full recap series

1.Live Review Introduction Review Live >> Tiger Brokers livestream hosted by Esther, featuring Dr. Franklin Wu, Quantitative Researcher at a financial institution in Shanghai. Franklin holds a PhD from the University of Chicago, with a background combining physics, quantitative research and trading strategy development. This session opened his framework for AI and semiconductor investing — starting with the macro backdrop that sets the "risk temperature" for tech stocks. Disclaimer: The views expressed are those of the guest speaker and do not represent the official views of Tiger Brokers or its affiliates. This content is st

[Miser]Hi~ Tigers, welcome to join my today’s live. Thanks to Tiger Brokers Community Live Team @TBlive The past two weeks gave AI/semiconductor investors a case study in whipsaw. $NVIDIA(NVDA)$ delivered a blowout quarter that beat expectations across the board — and the stock still popped on the print — yet the move came against a backdrop where Fed Chair-designate Kevin Warsh used his Jackson Hole remarks to put inflation, not growth, back at the center of policy, and rate-hike odds for September jumped sharply overnight. At the same time, long-end Treasury yields pushed toward multi-year highs before a Treasury buyback operation — nicknamed the "Bessent Put" — triggered a technical bond ra

The core idea behind index-inclusion arbitrage is to exploit the mechanical buying created by index funds and ETFs around an index-rebalance effective date: build the position before passive funds must trade, then exit when those passive buyers are forced to execute. For a low-float, high-profile stock such as SPCX that is being fast-tracked into major indexes, this logic can indeed create short-term alpha. But this is not a simple trade where "passive funds must buy at the close, so buying early is guaranteed to work." SPCX is special because the potential buy demand is enormous and highly predictable. Underwriters, hedge funds, high-frequency traders, and passive funds all know the same thing. What determines the outcome is not only how much passive capital needs to buy, but whether that

The countdown to the historic trillion-dollar behemoth's surge has begun: $SpaceX(SPCX)$ is brewing the most insane "low-float short squeeze" in history! Wall Street's short-selling crocodiles thought they could feast on the largest IPO in history, as usual. But this time, they dug their own graves. $SpaceX(SPCX)$ just debuted on Nasdaq with a terrifying valuation approaching $2 trillion. Short sellers, seeing the towering valuation and smelling blood, began frantically building short positions. They thought they had the fundamentals figured out, believing that SpaceX's massive GAAP loss of over $4 billion was its Achilles' heel. But these elites sitting in their corner offices miscalculated the most leth

$Lumentum Holdings Inc.(LITE)$ and $美光科技(MU)$ will probably have stock 1-to-10 split later this year. With smaller share prices, investors will flood into these stocks, and launch a huge surge!