Project instructions for TradingAgents-Astock, a Python system in which several AI roles examine Chinese A-share stocks, debate opposing views, and produce an investment report. It also documents the market-data sources and version files.
Project rules for a TypeScript stock-market data library that runs in browsers and Node.js. It covers supported financial data, version rules, APIs, validation commands, and repository conventions.
Repository instructions for a set of self-contained tools and workflows for researching Chinese A-share companies, which are companies listed on mainland China’s stock exchanges.
Instructions for cyijun/china-financial-services, a project described as: AI agent plugins & managed-agent templates for China A-share market research and financial modeling, powered by Tushare. Research workflows and valuation tools for professional analyst review—not investment advice. | 面向中国 A 股市场的 AI…
Repository instructions for an all-weather portfolio project, covering its investment strategy and operating principles. An all-weather portfolio is designed to spread risk across conditions such as growth, inflation, or recession.
AGENTS.md instructions for piklen/manmankan, covering agents.md, scope, start here, owner workspace boundary and ai engineering autonomy and research responsibility.