ZhuLinsen/daily_stock_analysis: README-based editorial guide

ZhuLinsen/daily_stock_analysis describes itself in the README as "LLM 驱动的多市场股票智能分析系统：多源行情、实时新闻、决策看板与自动推送，支持零成本定时运行。 LLM-powered multi-market stock analysis system with multi-source market data, real-time news, decision dashboard, automated notifications, and cost-free scheduled runs.". This article keeps to facts that can be checked in the repository. Stars, forks, and promotional badges are signals of attention, not proof of quality. Under "📈 股票智能分析系统", the README says: > 🤖 基于 AI 大模型的 A股/港股/美股/日股/韩股/台股自选股智能分析系统，每日自动分析并推送「决策仪表盘」到企业微信/飞书/Telegram/Discord/Slack/邮箱. That establishes the project's stated boundary, not a production test.

The README's "💖 赞助商 (Sponsors)" section gives a useful starting point for deciding whether the project fits: README 没有列出这一项具体能力。. If that problem is not yours, popularity is a poor reason to adopt it. Project names, commands, and component names are kept as written so a reader can return to the primary source without guessing at terminology. Another checkable README item is: README 没有列出这一项具体能力。. It can shape a first test, but it does not replace testing in the intended environment.

The operating model is spread across sections such as "✨ 功能特性". The source evidence includes: > 功能细节、字段契约、基本面 P0 超时语义、交易纪律、数据源优先级、Web/API 行为请看 完整配置与部署指南。. This article does not turn missing architecture, performance, or security details into claims. A real deployment still needs a look at the repository layout, configuration files, and release history.

Start installation from the README's documented entry point. A command that can be checked in the source is: # 克隆项目 git clone https://github.com/ZhuLinsen/daily_stock_analysis.git && cd daily_stock_analysis # 安装依赖 pip install -r requirements.txt # 配置环境变量 cp .env.example .env && vim .env # 运行分析 python main.py When the README contains no runnable command, this article does not invent one. Open its "💖 赞助商 (Sponsors)" section and confirm system dependencies, default ports, and first-run initialization before using a public server.