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yanglaiyang

AI-powered investment research tool in A share

Yanglaiyang is an independent developer building at the intersection of agent-driven tools and financial technology, turning investment methodology into software that individuals can run. Key highlights: • Stock analysis skill built on a seven-step framework that produces institutional-style reports • Snowball daily digest that tracks influential investors and delivers summaries to Feishu documents • A-share valuation and asset allocation guidance based on temperature-style market valuation • Value Speak, an English learning mini program built around quotes from Buffett and Munger • Video and article series on agent-based investing. The stock analysis skill evaluates a company through seven specialized steps covering growth stage, business model, competitive moat, long-term potential, key financial indicators, risks, and valuation. Each step is handled by a dedicated subagent, and the output includes up to 15 chart types with Mermaid rendering. The Snowball project follows investment viewpoints from prominent contributors and condenses them into daily reports. The A-share asset allocation skill assesses market valuation levels and suggests allocation ranges across equities and bonds. Value Speak combines language practice with value investing wisdom. Users listen to a daily quote from investing legends, read it aloud for pronunciation feedback, receive scored speaking evaluations, and practice realistic conversations. In testing, scoring response time dropped from roughly 40 seconds to 8 seconds. Ideal for individual investors who want structured research without manual spreadsheet work, finance professionals exploring Claude Code for research, and English learners interested in investing. Explore the open source projects on GitHub or read the accompanying articles and videos for implementation details.
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