Deep Values

This episode analyzes Stanley Druckenmiller's investment approach, focusing on how he combines fundamental analysis with technical indicators to time the market effectively.

This episode explores the paradox of Warren Buffett's longevity and high performance despite his unconventional diet, analyzing how his sustained success is tied to his health and wealth accumulation later in life.

This episode explores how investor Chamath Palihapitiya's ego led to a $5 billion loss, using his candid YouTube video as a case study to examine the psychological dangers of projecting insecurities onto financial markets.

This episode challenges the conventional wisdom of investing in S&P 500 index funds by exploring alternative strategies for compounding wealth, aiming to show how ordinary individuals could potentially grow $10,000 into a million dollars by 2025.

This episode analyzes Greg Abel's first Berkshire Hathaway shareholder letter, marking a historic transition from Warren Buffett's leadership, and explores its implications for investors and the market.

This episode analyzes Lululemon's low stock valuation despite strong financial performance, exploring market fears and competitive pressures.

This episode explores why having the 'best product' can be a dangerous business trap, using Nokia's downfall as an example, and examines how companies like Apple and Coca-Cola maintain profits through economic moats.

This episode analyzes Li Lu's Q4 2025 13F portfolio, exploring his investment methodology, life story, and the significance of being the only outside manager Charlie Munger entrusted with his family fortune.

This episode analyzes billionaire investor Chamath Palihapitiya's advice on why focusing on objectives can be a psychological trap that leads to stagnation, contrasting it with living a life of process for longevity.

This episode explores the hypothetical scenario of legendary investor Dan Bin (the 'Chinese Buffett') radically pivoting his $1.3 billion portfolio from traditional value investments to concentrated bets on Silicon Valley tech and AI, creating apparent contradictions in his strategy.

This episode exposes how accrual accounting can create misleading profit reports and emphasizes that free cash flow is the true measure of a company's financial health and survival ability.

This episode analyzes Palantir's Q4 2025 earnings, exploring the tension between its rapid growth and high valuation to determine if it's a long-term winner like Microsoft or a bubble like Cisco in 1999.

This episode analyzes Peter Thiel's drastic 2026 portfolio reset through 13F filings and shareholder letters, framing it as a contrarian bet against market stability.

This episode analyzes the chaotic economic week where the Supreme Court struck down Trump-era tariffs, creating a constitutional crisis on trade policy while the stock market shows conflicting signals with software sector struggles and private credit cracks.

This episode examines Robinhood's dramatic evolution from a gamified trading platform during the 2021 meme stock era to a mature, profitable $77 billion fintech giant in 2026, questioning whether it has become the 'apple of finance'.

This episode explores the dramatic personal and political story of Kevin Warsh, a potential next Federal Reserve chair whose life involves global cosmetics dynasties, art collecting, and a long friendship with Donald Trump, signaling a potential major shift in global economic management.

This episode explores why smart investors fail by examining historical market stagnation periods, specifically the 1965-1981 Dow Jones flatline, and challenges the comforting assumptions of compound growth.

This episode explores Polymarket as a prediction market platform that functions as a truth-seeking engine for future events, contrasting it with traditional casinos by explaining its peer-to-peer mechanics and binary payout system.

This episode analyzes Tesla's Q4 2025 results, which show a 16% decline in deliveries, marking a shift from supply-constrained to demand-constrained growth and exploring whether Tesla is now a shrinking car manufacturer or a sleeping AI giant.

This episode explores how the obscure French philosopher René Girard's ideas about mimetic desire and human behavior form a hidden philosophical framework connecting Silicon Valley figures like Peter Thiel with political leaders like J.D.

This episode analyzes Warren Buffett's post-retirement mindset and corporate transition in 2026 through a rare CNBC interview, exploring his continued influence and legacy structuring.

This episode explores the counterintuitive economic risks of AI succeeding too well, drawing on Aswath Damodaran's analysis to examine market impacts, job disruption, and preparation strategies.

This episode explores legendary investor Howard Marks' insights on why human instincts often lead to poor investment decisions, focusing on the psychology of market cycles and portfolio balance.

This episode explores the stark contrast between explosive growth in AI sectors and warning signs in traditional economic pillars like housing and infrastructure, using insights from venture capitalists, Wall Street analysts, and home builders.

This episode analyzes a raw audio conversation between Naval Ravikant and Nivi, unpacking the concept of 'vibe coding' and its implications for the software economy and labor market over the next five years.

This episode teaches investors how to analyze 10-K annual reports like detectives to uncover the true fundamentals of a business, moving beyond surface-level stock tips.

This episode analyzes Greg Abel's first annual shareholder letter as Berkshire Hathaway's new CEO, examining the transition from Warren Buffett's leadership and its implications for the company's future.

This episode explores Howard Marks' lecture on rethinking financial risk, shifting from academic models to practical philosophy and human behavior, with real-world examples like the nifty-fifty bubble and traffic safety paradoxes.

This episode analyzes Disney stock through a value investing lens, examining whether its current price represents a good investment opportunity despite the company's strong brand and intellectual property.

This episode analyzes Intuit's dramatic 43% stock price drop over two months, questioning whether it represents a buying opportunity or a fundamental value trap despite the company's seemingly stable tax and accounting software businesses.

This episode analyzes Stanley Druckenmiller's Q4 2025 13F filings, revealing his dramatic portfolio shift from tech giants to unconventional assets like Brazilian oil and hydrogen fuel cells, exploring his forward-looking investment strategy.

This episode analyzes warnings from Michael Burry and Chamath Palihapitiya about a potential 75-77% market crash driven by mathematical factors, demographics, and AI's impact on stock valuations.

This episode analyzes Duan Yongping's latest 13F filing, revealing his highly concentrated $17.5 billion portfolio invested in just five companies, contrasting traditional diversification advice with his modernized Warren Buffett-style approach for the AI era.

This episode explores Warren Buffett and Charlie Munger's critical views on modern financial metrics like EBITDA and P/E ratios, highlighting their focus on economic reality over accounting conventions.

This episode explores why Nvidia's impressive financial performance is causing concern on Wall Street, analyzing the paradox through exclusive interviews and strategic financial analysis.

This episode analyzes Warren Buffett's final 13F filing with Berkshire Hathaway, revealing a $382 billion cash position and strategic shifts as he hands leadership to Greg Abel.

This episode analyzes the immediate market impact and historical data patterns following U.S.

This episode examines whether the massive $400 billion annual investment in AI infrastructure represents a bubble by analyzing internal reports from venture capital firm A16Z and Drayson Horowitz.

This episode challenges the high-risk entrepreneur myth and introduces a systematic approach to building wealth through calculated, low-risk strategies.

This episode analyzes the current market split between retail investors buying dips and institutional investors divided between bullish 1996-like optimism and bearish concerns about capital expenditure risks.

This episode explores how the open-source framework Deep Value Intelligence uses AI multi-agents to help individual investors build virtual investment firms, addressing the challenges of competing with professional hedge funds.

This episode analyzes Circle's 2025 earnings report, debating whether it's just a crypto casino supplier or has built a legitimate, profitable internet financial system based on its $11.9 trillion transaction volume.

This episode analyzes why AppLovin's stock crashed despite reporting exceptional 84% margins, exploring the disconnect between strong fundamentals and market sentiment.

This episode analyzes NVIDIA's dominant position in AI infrastructure and examines whether its high valuation represents a sustainable opportunity or a potential trap for investors.

This episode analyzes the contradictory market signals in early 2026, including soaring silver prices, crashing healthcare stocks, extreme valuations, and a calm VIX, using insights from experts like Steve Eisman and tools like the Buffett Indicator app.

This episode analyzes Apple's Q4 2026 earnings report, exploring whether its strong financial performance justifies its current stock price through deep value and technical analysis.

This episode explains the discounted cash flow (DCF) model in plain English, showing how top investors like Warren Buffett use it to value businesses based on future cash flows rather than superficial metrics.

This episode analyzes Meta Platforms' Q4 2025 earnings, highlighting a radical pivot from a capital-light software business to a capital-heavy industrial utility, with insights into the implications for investors using Warren Buffett-style analysis.

This episode analyzes AppLovin's transformation from a mobile gaming studio into a highly profitable AI-driven cash machine, examining its 82% EBITDA margin and stock valuation to determine if it's a bubble or a sustainable growth story.

This episode explores Charlie Munger's early career, focusing on how he earned his first million through a real estate strategy in 1960s California, emphasizing leverage and velocity.