Gateway to Learning

This course starts from the development trends at the intersection of AI and finance, providing a systematic understanding of how intelligent investment systems are gradually transforming traditional asset allocation logic. As data scales expand, market structures grow more complex, and AI technology advances rapidly, financial markets are shifting from being "experience-driven" to "data- and model-driven." The course combines quantitative models, on-chain data, AI Agents, and intelligent trading ecosystems to deconstruct how AI is redefining investment research, risk management, and asset allocation processes. Through comprehensive framework learning, you will gain a deeper understanding of the future direction of financial systems and autonomous investment decision-making systems.

This course starts from the perspective of institutional capital flows, providing a systematic analysis of how traditional finance is gradually entering the crypto market and driving the evolution of the broader digital financial ecosystem. As ETFs, institutional custody, stablecoins, and on-chain financial infrastructure continue to mature, crypto assets are transitioning from the periphery of the market to becoming increasingly integrated into the global capital system. The course not only focuses on the logic behind institutional entry but also delves into multi-asset markets, on-chain liquidity, and the convergence trends with TradFi. Through comprehensive structured learning, you will gain a deeper understanding of the future direction of financial system digitization and on-chain transformation.

The U.S. stock and ETF markets are centered on fiat-denominated securities, with pricing and trade execution conducted through exchange matching during fixed trading sessions. Their regulatory frameworks, corporate actions, and disclosure logic differ significantly from the 24/7 cryptocurrency market. For users who primarily hold crypto assets over the long term, the securities market serves not only as an important reference for macro risk appetite but also as a potential extension for asset allocation. However, participating without understanding trading hours, instrument differences, and regulatory boundaries can lead to the misstep of "applying crypto trading habits to stock investing."