xuchonglang/investing-for-beginners

investing-for-beginners is a public index of a Chinese language investing education wiki called Xiaoyinsi. It is written for Chinese speaking beginners who want to learn about US stocks, options, and cryptocurrency from scratch but do not know where to start or how to build a complete picture of the subject. The guide assumes no financial background and starts with basics like trading hours, order types, financial statements, and simple valuation, then moves on to option pricing, position sizing, wallet security, on chain transactions, and common scams. The content is organized so a reader can build a basic framework for US stock investing, understand what to check before placing an order, learn how options payoffs and time decay work, and get familiar with how cryptocurrency wallets, private keys, smart contracts, and decentralized finance function. It also spends time on risks such as excessive leverage, forced liquidation, phishing through token approvals, and other on chain attacks. The stated goal is not to tell readers what to buy, but to help them understand what they are buying, where the risk comes from, and what to check before committing money. A long introductory section argues that ordinary people need to learn investing because relying only on a salary and cash savings leaves people exposed to inflation and unexpected income gaps over a lifetime, and that financial education is largely absent in China. It explains why the guide covers both US stocks and cryptocurrency together, framing the US dollar as the common thread linking traditional company ownership and cash flows on one side with stablecoins, smart contracts, and open blockchain networks on the other. The repository itself is organized into a content folder with wiki style entries grouped by stocks, options, and crypto, a guides folder with longer tutorials, a glossary folder for financial terms, and a license file. The material links back to the official Xiaoyinsi website and wiki for the full versions of each topic. The content is explicitly proprietary: copying, mirroring, bulk scraping, commercial use, or use for AI training is not permitted without written permission, though sharing the original links is allowed.