Leigh Drogen, Starkiller Capital - If This Thing Isn’t Dead Yet, It’s Not Going To Die | #351

Episode Summary

Executive Summary: The episode follows Lee Drogan’s path from quant equity and Estimize to Starkiller Capital, a crypto fund built on momentum, cross-sectional selection, and fundamental on-chain analysis. He argues crypto is still early-stage “internet of money” infrastructure, with DeFi incentives, staking, and liquidity farming creating real utility, while volatility, leverage, and regulatory uncertainty remain the dominant risks.

Main Topics: Estimize and the evolution of quant investing (Priority: 5/5): Drogan explains how Estimize supplied crowdsourced earnings and revenue estimates to systematic funds, highlighting the arms race for alternative data and the growing dominance of quants over discretionary managers. Why crypto became investable (Priority: 5/5): He traces his shift from skepticism to conviction: first seeing Bitcoin as a technological/philosophical experiment, then later recognizing DeFi talent and the rise of cash-flow-producing protocols as evidence of real utility. Momentum and trend following in crypto (Priority: 5/5): The fund’s core insight is that crypto behaves like a pure momentum market with strong trend persistence and severe drawdowns, making time-series and cross-sectional momentum effective tools for beta timing and asset selection. Starkiller Capital’s portfolio construction (Priority: 5/5): Starkiller combines time-series momentum for risk-on/risk-off exposure, cross-sectional momentum for relative selection, and fundamental on-chain analysis across sectors like L1s, DeFi, NFTs, gaming, and infrastructure. DeFi, staking, and yield generation (Priority: 4/5): Drogan gives a practical primer on DeFi lending, liquidity provision, staking, and liquidity mining, arguing these mechanisms let investors capture protocol fees and governance-token rewards as a form of yield. Risk management and regulatory uncertainty (Priority: 5/5): He stresses counterparty, smart-contract, operational, and liquidity-run risks, while arguing regulation is unlikely to stop crypto’s growth because the system is global and increasingly entrenched. Adoption, research, and the next phase of crypto (Priority: 4/5): He expects academic research, institutional adoption, and on-chain analytics to accelerate quickly, and encourages people to get hands-on with wallets, DeFi, NFTs, and data tools like Dune.

Key Arguments: Crypto is still in an early internet-like phase, where major value accrual will likely come from protocols, not just Bitcoin as digital gold. The best way to invest in crypto is not buy-and-hold beta alone, but a rules-based approach that adapts to extreme volatility and momentum. Time-series momentum works unusually well in crypto because the market is structurally trend-driven and lacks stable intrinsic value in many assets. Cross-sectional momentum can help identify which coins/protocols will outperform other assets in the same universe. DeFi creates a new incentive structure: governance tokens can be used to bootstrap liquidity and behavior in decentralized systems. Liquidity staking/lending can generate real yield, but only if investors manage smart-contract, counterparty, and liquidity risks carefully. Institutional adoption is increasing, but custody is transforming into operational security rather than traditional asset safekeeping. Regulation will likely create friction and headline risk, but is unlikely to stop a global, permissionless protocol ecosystem. Open-source code and rapid iteration make crypto evolve faster than web 1.0 or web 2.0, which should support long-term innovation and competition. On-chain data makes crypto unusually transparent, likely producing a flood of future academic and quantitative research.

Data Points: Whitefish population: about 9,000 people - Drogan describes the Montana town where he now lives. House price increase: doubled since last June - He says local real estate in Whitefish surged after remote work and post-COVID migration. Crypto users touched globally: about 100 million - He estimates current global adoption is still tiny relative to eventual potential. Starkiller beta universe size: 200 to 250 assets - He says the fund’s tradable universe currently includes tokens above roughly a $300M market cap. Yield-side capacity: around $500 million - He estimates current yield strategy capacity before liquidity/risk constraints become problematic. Fundamental model universe threshold: above $300 million market cap - He describes the approximate size cutoff for the beta trading universe. Typical DeFi lending spread: 50 bps borrow / 350-400 bps lend spread - Used as a simplified comparison to traditional banking and DeFi yield capture. Uniswap fee: 30 basis points - He cites the trading fee paid by swaps into liquidity pools. Risk allocation rule: not more than 10% in any given pool - Starkiller’s yield risk management limit for a single liquidity pool. Crypto drawdown expectation: 70-80% drawdowns - He argues these are structural and likely to recur due to leverage and liquidations. Portfolio timing horizon: 3-5 years - He expects correlations and yields to compress as institutions enter and markets mature. Liquidity cycle reference: late 2017 to last October - He characterizes the prior bear market as a multi-year winter before the latest run.

Pivotal Quotes: "Crypto provides the incentive structure to bootstrap liquidity in decentralized systems." — Lee Drogan: He explains the core thesis behind DeFi and governance tokens. "We are probably somewhere in 1995 or so regarding building the internet of money." — Lee Drogan: He compares crypto’s stage of development to the early internet. "You just don't want to puke it up." — Lee Drogan: He describes the importance of holding winners through crypto’s extreme volatility.

Implications: Listeners should expect crypto to remain highly volatile but increasingly institutional, with alpha still available through disciplined momentum, on-chain analysis, and risk control. The industry likely keeps expanding despite regulation, making hands-on learning essential.