Wall Street: From Jack Ma to SK INX, the New Fundraising Record
This episode explores the new fundraising record on Wall Street set by SK INX's $26.5 billion IPO on the Nasdaq. Surpassing Alibaba's 2014 milestone, this initial public offering provides a lens to examine supply and demand mechanics, the central role of memory chips for AI, and the ripple effect on competitors like Micron and SanDisk. We also explore the stark contrast between these stock market records, the war in the Middle East, and global oil tensions. Subscribe if it helps.
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30+ years of trading, 25+ years of teaching, a rare dual experience at your service.
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Benoist Rousseau
Independent Trader • CME & CBOT Member
About the author
Benoist Rousseau is a trader, member of the Chicago Mercantile Exchange (CME) and the Chicago Board of Trade (CBOT), an economic history specialist educated at the Sorbonne, and an adult education expert.
In the TRADING series, drawing on over 30 years of experience trading CME futures, he shares session analyses, trade replays with commentary, psychology and risk management — no signals, no promises, raw and unfiltered trading.
Risk Warning: Trading in leveraged financial instruments may expose you to a risk of loss exceeding deposits and is only suitable for experienced clients who have sufficient financial means to bear such risk. Transactions in foreign exchange instruments (Forex), contracts for difference (CFDs), Futures, Stocks, ETFs... are highly speculative and particularly complex and carry a high level of risk due to leverage. You must ensure that you understand how these instruments work and that you can afford to take the high risk of losing your money. The podcasts and articles on this site are for educational and informational purposes only and are not investment advice or any inducement to buy or sell financial instruments. Every investor must make their own judgment before investing in a financial product to ensure it is suitable for their financial, tax and legal situation.
🎙️ AI voice version — the original podcast was recorded in French. The voice (an AI clone of my own) was adapted with AI technology to make this podcast available in English.
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