Monetary Matters with Jack Farley

Milton Berg, one of Wall Street's legendary market technicians, returns to Monetary Matters to explain why he believes the recent crash across the S&P 500, Nasdaq 100, KOSPI, and semiconductor stocks has already bottomed — and why he's still positioned long despite major caveats.

The positive divergence call: Milton breaks down why the S&P 500's July 29th low held above its June 9th low even as the Nasdaq 100 and Philadelphia Semiconductor Index (SOX) made new lows — a classic technical signal he says points to higher prices ahead.

The 1987 crash comparison: Using historical crash-low data, Milton shows how markets rarely V-bottom and go straight up — and lays out why the current setup looks more like 1987 (a retest of the lows) than the COVID V-shaped recovery.

The "exhaustive gap" warning: Despite his bullish lean, Milton flags a specific gap pattern in the Nasdaq 100 and KOSPI that has historically signaled short-term tops — and explains what would need to happen for it to resolve bullishly instead.

Inside his trading model: Milton walks through his systematic buy-signal model, including a real trade history that turned $10,000 into over $1.15 billion, and unpacks how his signals performed (and failed) around 2008 and other historic drawdowns.

His current portfolio positioning: Milton details his exact allocations — long the KOSPI/EWY, Russell 2000, S&P Midcaps, Nasdaq 100, SOXX, and S&P 500 — and explains why he flipped from short to long on July 29th and 30th.

Gold, silver, and bond yields: Beyond equities, Milton shares his latest technical read on precious metals and where he sees long-term bond yields heading.

Why retail investor behavior matters right now: Milton highlights a retail selling data point — the highest since 2022 — and explains why heavy retail capitulation is historically a bullish signal for stocks.

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In this episode of Monetary Matters, Jack Farley sits down with Deiya and Dean Pernas of Pernas Research to discuss their contrarian investment strategies and overarching market themes. The brothers delve into the massive energy demands of AI data centers, highlighting "bring your own power" solutions and infrastructure needs over traditional semiconductor plays. Additionally, Deiya explores the evolving landscape of cybersecurity and software in the age of AI, noting that while AI threatens some legacy software moats, it creates immense opportunities for exposure management platforms like Tenable and specialized marketplaces like Upwork. The conversation also unpacks the payments sector, specifically emphasizing the robust growth of cross-border money movement through fintechs like Wise and Remitly as they actively disrupt traditional correspondent banking. Throughout the interview, the Pernas brothers emphasize the importance of independent, buy-side research and the value of finding high-conviction, small-to-mid-cap stocks that the broader market may have mispriced. Recorded July 28, 2026.

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Victor Haghani — founder of Elm Wealth, co-author of “The Missing Billionaires” and former founding partner of Long-Term Capital Management — joins Monetary Matters to explain why the stock market doesn't follow a random walk. Drawing on his new paper "Who Killed the Random Walk?", Victor lays out a model where value investors, static asset allocators, and "extrapolators" interact to produce the excess volatility, momentum, and boom-bust cycles that classical finance theory can't explain. Jack and Victor debate whether passive investing is really to blame for market distortions, why stock buybacks are propping up the entire market, and why Elm Wealth's own models say US equities should only return about 6% a year despite blistering AI-driven earnings growth. Victor also breaks down the strange truth that "return chasing" and momentum investing sound identical but perform in opposite ways — and reveals how Elm actually allocates client capital across US and international stocks today. Recorded before Leopold Aschenbrenner's Situational Awareness hedge fund imploded on a leveraged AI trade, Victor's answer about what really went wrong at LTCM in 1998 turned out to be eerily well-timed. Recorded July 21, 2026.

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In this episode, host Jack sits down with Tian Yang, co-founder and head of research at Variant Perception, to analyze the current macroeconomic landscape and equity market outlook. Tian shares why macro indicators point to a broadly supportive "risk-on" environment over the next three to six months despite recent pullbacks in semiconductor and tech stocks. He discusses the exhaustion of the agentic AI rally, explaining how capital is actively rotating into value laggards such as energy, financials, and healthcare. Tian also breaks down their Log Periodic Power Law (LPPL) framework, a tactical model designed to detect market bubbles and exhaustion signals to help time entries and exits. Beyond equities, the discussion covers broader macro dynamics, including central bank policy expectations, geopolitical supply-side shocks, and regional preferences for Latin America over markets in Europe and India. Finally, Tian details the systematic strategy behind their VPX ETF, which dynamically combines capital cycle, quality, and crowding models to capture upside relative to the S&P 500. They also talk about oil, gold, and IPO window in U.S.

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In this episode, Jack sits down with Kathryn Rooney Vera, Chief Market Strategist at StoneX Group, to unpack the Federal Reserve's decision to hold interest rates and Chair Warsh's transition toward a quieter, laissez-faire communication style. Kathryn shares her macroeconomic outlook, forecasting that we may still see rate hikes post-election unless widespread AI adoption delivers a significant productivity boost to offset inflation.

Later in the show, Jack is joined by Max Wiethe for a live, unfiltered reaction to the latest mega-cap tech earnings from Microsoft and Meta. They analyze Microsoft's massive revenue and 43% Azure cloud growth, weighing these strong figures against the company's aggressive $41 billion in quarterly capital expenditures. Jack then bluntly breaks down Meta's quarterly results, labeling it a "disaster" due to a 55% surge in costs, an 8% drop in operating income, and unexpectedly weak forward guidance. Finally, the duo wraps up with a look at the semiconductor space, assessing how these fluctuating AI investments are directly impacting chip and equipment stocks like Arm Holdings and Lam Research.

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