JPMorgan's London Whale: The $6.2 Billion Trade That Broke Math  episode artwork

EPISODE · Mar 11, 2026 · 25 MIN

JPMorgan's London Whale: The $6.2 Billion Trade That Broke Math

from AI-MONEY-TRAVEL · host Ahmed Osman

In 2012, a single JPMorgan trader known as the London Whale built a $157 billion synthetic position so massive it warped financial gravity. Discover how this $6.2 billion blowout exposed the lethal danger of institutional hubris, and how it serves as a chilling warning for the multi-trillion dollar algorithmic crashes of 2026.📈 Master the Cycle. Subscribe for weekly visual chapters on the history of wealth, power, and ruin🏛️ Explore The Full Library:1️⃣ Vol I: The Human Cycle2️⃣ Vol II: Profiting from Panic3️⃣ Vol III: The Hidden Ledger4️⃣ Vol IV: God & Gold5️⃣ Vol V: The Titan's Playbook⚠️ IMPORTANT DISCLAIMER:The content provided on the Capital Cycles channel is strictly for educational, historical, and entertainment purposes only. I am an author and financial historian, not a licensed financial advisor, registered investment advisor, or broker-dealer.The historical events, economic cycles, and market dynamics discussed in these documentaries do not constitute financial, investment, legal, or tax advice. While history often rhymes, historical patterns and past market performance do not guarantee future results. All financial markets carry inherent risks, and any modern comparisons made are for illustrative purposes to understand macroeconomic mechanics.You should always conduct your own extensive due diligence and consult with a certified financial professional before making any investment decisions. Capital Cycles and its creators assume no liability for any financial losses, damages, or risks assumed as a result of utilizing the information presented on this channel.Copyright Disclaimer under section 107 of the Copyright Act 1976, allowance is made for “fair use” for purposes such as criticism, comment, news reporting, teaching, scholarship, education, and research.#LondonWhale #MarketDistortion #financialhistory

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