To The Moon

Speaker: Samuel Wong, Investment Representative at Tiger Brokers, closes the seminar with the part most beginners skip — how to monitor a short put once it's live, what assignment and liquidation actually mean, and the five mistakes he sees option sellers make most often. [About the Speaker] Samuel Wang is a trader with over 5 years of experience across precious metals and cryptocurrency, and 2 years of technical experience in derivatives spanning US options, futures, and SGX-listed DLCs. He is an in-house trainer and speaker for Tiger Brokers, and an Investment Representative for Tiger Brokers Singapore. [The Hook] "Please don't trade like an ostrich with your head in the ground — 'okay, I don't see the rate anymore, now it's a brand new one.'" Samuel's closing stretch was the most candid

Speaker: Samuel Wong, Investment Representative at Tiger Brokers, walks through the practical checklist for choosing a put to sell, then goes hands-on with a live Nvidia example on the Tiger app. [About the Speaker] Samuel Wong is a trader with over 5 years of experience across precious metals and cryptocurrency, and 2 years of technical experience in derivatives spanning US options, futures, and SGX-listed DLCs. He is an in-house trainer and speaker for Tiger Brokers, and an Investment Representative for Tiger Brokers Singapore. [The Hook] "It's easy to teach theory," Samuel said, "but the one thing that investment representatives want to do is not just give lectures — we also want to give a guiding hand." So he picked a name everyone in the room already knew —

Speaker: Samuel Wong, Investment Representative at Tiger Brokers, as he breaks down options fundamentals for first-timers and walks through why selling puts — not just buying calls — is one of the most underrated tools in a retail investor's kit. [About the Speaker] Samuel Wong is a trader with over 5 years of experience across market segments including precious metals and cryptocurrency, and 2 years of technical experience in financial derivatives ranging from US options and futures to SGX-listed DLCs. He also serves as an in-house trainer and speaker for Tiger Brokers, and as an Investment Representative for Tiger Brokers Singapore, supporting both new and like-minded investors through their journey with care and guidance. [The Hook] "Most people think options are for gambling. You can m

Speaker: @Selina_Han_Insights, Founder of Han Insights; former Cboe EconomistSession: Debt, Doom, and Dispersion — Fall 2026 Investing Outlook Live Date: September 11, 2026 (Review Live >>) Selina Han’s discussion repeatedly challenged simple market narratives. Her strongest points were less about predicting one outcome and more about forcing investors to ask what is happening underneath the headline. 💬 Companion Post: Selina Han: Debt Spirals, Hidden Labor Weakness and Why a Calm VIX Can

Speaker: @Selina_Han_Insights, Founder of Han Insights; former Cboe EconomistSession: Debt, Doom, and Dispersion — Fall 2026 Investing Outlook Live Date: September 11, 2026 (Review Live >>) 💬 Companion Post: Golden Sentences from Selina Han’s Live — Dollar, Fed & Dispersion Selina Han’s part of the livestream focused less on whether U.S. debt is simply “good” or “bad” and more on how macro pressure actually travels through markets. She explained the mechanism connecting fiscal def

Speaker: James Early, CEO of Curia FinancialSession: Debt, Doom, and Dispersion — Fall 2026 Investing Outlook Live Date: September 11, 2026 (Review Live >>) James Early’s livestream covered U.S. debt, the dollar system, AI concentration and individual stocks, but several lines captured the philosophy behind the entire discussion particularly well. 💬 Companion Post: James Early: Why the Dollar Still Matters — and Why He’d Rather Be a “Capybara” Investor Want a deeper dive? We broke this session down into 4 full recap articles, each covering a different pi

Speaker: James Early, CEO of Curia FinancialSession: Debt, Doom, and Dispersion — Fall 2026 Investing Outlook Live Date: September 11, 2026 (Review Live >>) 💬 Companion Post: Golden Sentences from James Early’s Live — Debt, Dollar & the “Capybara” Strategy James Early opened his portion of the livestream by stepping away from the daily market noise and asking a much bigger question: Why has the U.S. stock market continued to rise over the long run, even as federal debt has expanded toward $40 trillion? His answer was not that debt is irrelevant. Inst

Speaker: Matt Gamblin (Founder of The Company Coach, Chartered Accountant CA ANZ, former CFO of Fliteboard) Live Date: September 15, 2026 (Review Live >>) In this livestream, Matt Gamblin walked through how AI is actually reshaping finance and business — not through announcements, but through execution. He covered a historical lens on tech-driven change, why AI adoption has gone mainstream while real strategy lags behind, what separates consumer AI from enterprise AI, why data quality determines whether AI helps or hurts, and three contrasting real-world case studies: $

Speaker: Dr. Franklin Wu (Quantitative Researcher at a financial institution in Shanghai; PhD, University of Chicago — background in physics, quantitative research and trading strategy development) Live Date: September 2, 2026 (Review Live >>) Dr. Franklin Wu spent the session turning macro noise, chip fundamentals and chart patterns into a single repeatable process. Along the way, he dropped a handful of lines simple enough to remember mid-trade — here are the ones worth keeping. 1. On what actually moves tech valuations Before touching a single stock, Franklin's rule is to check the macro weather first — because a good company can still ge

Speaker: Dr. Franklin Wu @老实人谈美股 (Quantitative Researcher at a financial institution in Shanghai; PhD, University of Chicago — background in physics, quantitative research and trading strategy development)Live Date: September 2, 2026 (Review Live >>) 💬 Golden Sentences from Franklin Wu's Live | AI + Semiconductor Investing In this livestream, Dr. Franklin Wu walked through a repeatable "Macro → Industry → Technicals → Risk" framework for AI and semiconductor investing — covering a hawki