In Financial Mathematics for Cryptocurrencies, quantitative strategist Tom J. Espel applies traditional quantitative finance to the distinctive characteristics of blockchain-based instruments. Espel draws on his experience in alpha research, market-making, and high-frequency trading across London, Hong Kong, and Singapore to adapt relevant quantitative finance methodologies specifically to digital assets. The book introduces three essential constructs for DeFi pricing theory: network time, the validator account as a new numéraire, and wrapped token frameworks for cross-chain valuation, providing readers with the analytical frameworks needed to navigate the unique mathematical challenges posed by crypto markets. Financial Mathematics for Cryptocurrencies offers mathematical frameworks for staking contracts, liquid staking derivatives, and yield farming strategies with rigorous ex-ante and ex-post valuations. Readers will find comprehensive coverage of network valuation methods including Metcalfe's Law, Reed's Law, and the ZBOT framework specifically applied to digital assets, alongside pricing theory that extends arbitrage-free pricing to blockchain assets through the validator account and blockchain measure. The book's modular structure allows readers to navigate directly to relevant sections, covering everything from blockchain fundamentals to advanced valuation models and liquidity cost analysis in cryptocurrency markets, all presented with clear and rigorous explanations designed for practitioners. Perfect for quantitative analysts, high-frequency traders, portfolio managers, cryptocurrency researchers, and finance students, Financial Mathematics for Cryptocurrencies is an indispensable resource for anyone developing trading algorithms and pricing models, conducting digital asset analysis, or researching cryptocurrency markets. This book equips you with the quantitative tools and mathematical frameworks necessary to successfully invest in and trade digital assets in an increasingly regulated and sophisticated market environment.