ABOUT THIS EPISODE
Chips and the Fed kick off this episode with a simple idea: the market punished what were, in fact, outstanding results. I revisit Samsung, whose profit multiplied 19-fold, the decline in tech stocks, the pressure from DeepSeek, and the Nasdaq hitting a major support level. I also explain why the Fed, the FOMC minutes, the rise in oil prices, and inflation risk weighed on the mood, while the Dow Jones and S&P 500 held up better. Subscribe if this helps you.
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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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