With information now ubiquitous, the primary source of market inefficiency is no longer informational but behavioral. The most durable edge is "time arbitrage"—exploiting the market's obsession with short-term results by focusing on a business's normalized potential over a two-to-four-year horizon.

The stock market is a 'hyperobject'—a phenomenon too vast and complex to be fully understood through data alone. Top investors navigate it by blending analysis with deep intuition, honed by recognizing patterns from countless low-fidelity signals, similar to ancient Polynesian navigators.

Traditional valuation metrics ignore the most critical drivers of success: leadership, brand, and culture. These unquantifiable assets are not on the balance sheet, causing the best companies to appear perpetually overvalued to conventional analysts. This perceived mispricing creates the investment opportunity.

Over the past two decades, equity analysis has evolved beyond simply valuing a company's physical or financial assets. The modern approach focuses on identifying "alpha" factors—trading baskets of stocks grouped by shared characteristics like strong balance sheets or non-US revenue exposure.

High-profile sports franchises defy standard financial analysis. Their valuation is driven more by their scarcity and desirability as a "trophy asset," similar to a masterpiece painting. This makes them a store of value where the underlying business fundamentals are only part of the equation.

Companies like Tesla and Oracle achieve massive valuations not through profits, but by capturing the dominant market story, such as becoming an "AI company." Investors should analyze a company's ability to create and own the next compelling narrative.

In a world where AI can efficiently predict outcomes based on past data, predictable behavior becomes less valuable. Sam Altman suggests that the ability to generate ideas that are both contrarian—even to one's own patterns—and correct will see its value increase significantly.

Traditional valuation metrics are irrelevant. The key is to identify new, impactful information that will bring in a new class of investors and reset the market's perception of the company. This allows for making highly profitable, contrarian bets on stocks that already appear expensive.

If your core thesis can be replicated by a 5-second Yahoo Finance screener (e.g., low P/E ratio), it has been arbitraged away by quants and computers. Relying on such simplistic metrics is no longer just a zero-alpha strategy, but one likely to produce negative returns.