Investing Lessons from Poker and Market Structure

Core Takeaways

• Think in probabilities: Poker and investing both involve incomplete information. Use expected value, variance, and risk assessment rather than certainty.
• Protect capital: Winning is not enough; avoiding large losses and blowups is essential to long-term compounding.
• Choose your “game”: Seek less competitive markets, sectors, and time horizons where other investors have fewer advantages.
• Build conviction through research: Deep work on companies, industries, balance sheets, and downside scenarios is what supports larger positions.
• High returns with no blowups are the goal: That requires disciplined risk controls and patience.

Where to Look for an Edge

The investor prefers situations where capital pools have different incentives and prices can temporarily diverge from business value. Market forces that can create these opportunities include:

• Passive investing, which can direct flows into stocks without regard to valuation.
• Leveraged, volatility-targeting funds, which may sell quickly when risk limits are hit.
• Crowded positions and concentrated ownership, which can amplify forced selling.
• Retail and narrative-driven flows, which can affect prices and valuation multiples.

Rather than competing with highly resourced funds over heavily researched stocks on short time frames, he favors less crowded sectors and longer horizons—often beyond 12 months.

Handling Market Dislocations

Sharp selloffs can create opportunities when leverage, crowded positioning, or market-wide risk reduction pushes prices below business value. The investor looks for multiple forms of margin of safety, such as:

• A strong franchise and resilient cash flows
• A sound balance sheet and limited risk of debt overwhelming equity
• Attractive valuation
• Favorable industry structure
• Evidence that the business’s intrinsic value has not fallen along with its share price

He keeps balance-sheet capacity available for volatile periods and increases position size when downside appears limited and the expected return is unusually attractive.

Risk Management and Position Sizing

• Size positions based on expected return relative to uncertainty, not a formula alone.
• Consider operational, financial, and ownership robustness, as well as contingent liabilities.
• Concentration can be rational when the upside is asymmetric and downside is well understood.
• In exceptional cases, he may risk up to 20–25% of account value, but says such opportunities are rare.
• Shorts require tighter controls and much smaller sizing than typical longs because losses can be theoretically unlimited, while gains are capped.
• Define the downside and risk rules for each security before investing.

Buying on the Way Up or Down

He may begin building a position as a stock falls, but generally prefers to size up after a bottom has formed and the trend turns. Buying at the same price can have different expected values depending on the trend and available risk controls.

A rising price can provide confirmation and a clearer stop level. He looks for multiple confirming signals—such as strong fundamentals, favorable technicals, insider buying, or a competitor being acquired at a higher valuation—rather than relying on price direction alone.

Narratives and Reflexivity

Narratives can affect valuations and even change business fundamentals by influencing access to capital, investment, and future growth. Investors should consider how companies, regulators, customers, and competitors might respond under different scenarios—not just model bull, base, and bear outcomes mechanically.

He does not favor buying solely for potential multiple expansion. He prefers cases where the business fundamentals, cash generation, valuation, and market context also support the investment.

AI: Opportunity and Risk

AI is a major technology and investment theme, but the value chain contains substantial risks and opportunities. Key considerations include:

• Whether hyperscaler capital spending is sustainable
• Companies’ cash burn and future contractual obligations
• Electricity supply, data-center permitting, and local opposition
• Cybersecurity and regulatory risks
• Cooling requirements and changes in chip technology
• Whether expected infrastructure is actually delivered

Rather than making a blanket bet on AI, he studies the full value chain and seeks investments with attractive returns without taking excessive risk.

The Importance of Industry Structure

The investor identifies industry-structure research as a major source of edge. He studies how profits flow through a sector, who captures them, and how that may change over time.

Examples discussed include:

• AI infrastructure: Comparing chipmakers, memory companies, AI labs, cloud providers, power suppliers, and data-center operators.
• Offshore wind: Understanding how changes in auction economics affected developers and suppliers, while a specialized turbine-installation vessel company gained a stronger position.

This work is time-consuming, but can reveal opportunities and risks that are difficult to see by analyzing a company in isolation.