With the crypto bear market and everyone now talking about on-chain U.S. stocks, more and more folks are shifting their focus to U.S. stocks. Actually, learning about U.S. stocks is one of the best ways to 'engineer' your investment journey—timing data, tool maturity, and reproducible methods can significantly reduce the randomness caused by information asymmetry and project risks. U.S. stocks are like the easy mode, but for some people, it might not feel that simple. That’s where you need to learn how to read financial reports, understand valuations, and connect them with macro trends—especially managing macro expectations alongside personal behavioral biases. This requires real experience and practice. Although U.S. stock returns won’t be sky-high in the short term, like crypto where you can see massive gains in just a few days, the risks are relatively manageable. If you’re unsure where to start, check out MSX’s U.S. Stock Learning Guide, which summarizes key points for us to study regularly. @MSX_CN’s research team has already made it super concise. Here’s a general roadmap: understanding the market (macro trends and liquidity) → sector analysis and specific stock research → tool usage (news, data, etc., and mastering expectation management) → hands-on practice (actual operations and risk management). Personally, I think every step in this roadmap is crucial. But it’s essential to understand the relationship between U.S. stocks, macro trends, and liquidity. Take advantage of the market cooldown to learn and practice more. Knowledge and methodologies about U.S. stocks are long-term assets—they won’t be swayed by short-term emotions. On-chain U.S. stocks via Maiton.