Wagner's strategy shifted from buying statistically cheap companies to requiring a clear catalyst for value realization. He found that without a catalyst, even correctly underwritten cheap stocks would continue to decline due to factors like technological disruption, making the old "cigar butt" approach obsolete.

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Many investors focus on the current size of a company's competitive advantage. A better indicator of future success is the direction of that moat—is it growing or shrinking? Focusing on the trajectory helps avoid value traps like Nokia in 2007, which had a wide but deteriorating moat.

Citing legendary investor Peter Lynch, Cramer warns that an exceptionally low price-to-earnings ratio is often a red flag, not a value play. The market is correctly pricing in a future collapse of earnings. He uses the example of Bethlehem Steel, which traded at 2x earnings just two years before going bankrupt.

The key to emulating professional investors isn't copying their trades but understanding their underlying strategies. Ackman uses concentration, Buffett waits for fear-driven discounts, and Wood bets on long-term innovation. Individual investors should focus on developing their own repeatable framework rather than simply following the moves of others.

In the world of hyper-short-term pod shops, a stock being "cheap" is a sign of a broken thesis, not a value opportunity. This highlights a fundamental philosophical divide where traditional value investors see opportunity, while pods see a reason to sell immediately.

Jim Cramer suggests evaluating stocks not just on current metrics, but on their "Total Opportunity Value"—the potential scale if their vision is fully realized. This framework, exemplified by Netflix's evolution from DVDs to a global media giant, prioritizes optimistic, long-term potential over short-term risk.

History shows that transformative innovations like airlines, vaccines, and PCs, while beneficial to society, often fail to create sustained, concentrated shareholder value as they become commoditized. This suggests the massive valuations in AI may be misplaced, with the technology's benefits accruing more to users than investors in the long run.

Financial models struggle to project sustained high growth rates (>30% YoY). Analysts naturally revert to the mean, causing them to undervalue companies that defy this and maintain high growth for years, creating an opportunity for investors who spot this persistence.

This provides a simple but powerful framework for venture investing. For companies in markets with demonstrably huge TAMs (e.g., AI coding), valuation is secondary to backing the winner. For markets with a more uncertain or constrained TAM (e.g., vertical SaaS), traditional valuation discipline and entry price matter significantly.

The best investment deals are not deeply discounted, low-quality items like "unsellable teal crocodile loafers." Instead, they are the rare, high-quality assets that seldom come on sale. For investors, the key is to have the conviction and preparedness to act decisively when these infrequent opportunities appear.

True investment opportunity isn't just identifying a good company; it's developing a perspective different from the consensus. The key is to analyze what's already baked into the price. Being bullish alongside everyone else offers little upside. The real value lies in a differentiated, well-researched viewpoint.

Value Investing Failed When "Cheap" Stocks Remained Cheap; Catalysts Are Now Essential | RiffOn