With the rapid evolution of blockchain, AI, and global capital flows, the crypto market is becoming the most active and groundbreaking experimental field for financial engineering and quantitative strategies. This course approaches the topic from three perspectives—market structure, technology-driven innovation, and strategy frameworks—to help you understand why the crypto market has achieved, in just a few years, innovations that traditional finance struggled to realize over decades: programmable assets, 24/7 trading, fully transparent data, and the revolution in AI-driven strategy generation and execution. Here, quantitative methods are not just tools but the core language of a new financial system.
This course systematically deconstructs the landscape of crypto quantitative finance: from the unique characteristics of market structure and quantitative advantages to the role of AI in data processing, modeling, and execution layers; from the operational logic of real-world AI-driven quantitative funds (using Gate Intelligent Quantitative Fund as an example) to in-depth analysis of multi-strategy portfolios, risk control frameworks, and on-chain risk structures. The course will help you understand how crypto quantitative finance integrates AI, on-chain data, smart contracts, and multi-chain liquidity to form a novel financial engineering system that traditional finance cannot replicate—and how this system is becoming a key component of future investment models and global payment infrastructure.
