ZhuLinsen/daily_stock_analysis
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.
From the publisher
README & documentation
Source previewRead the project’s overview, installation instructions and usage examples. The original README is the source of truth.
[](https://github.com/ZhuLinsen/dailystockanalysis/stargazers) [](https://arxiv.org/abs/2608.26990) [](https://github.com/ZhuLinsen/dailystockanalysis/actions/workflows/ci.yml) [](https://opensource.org/licenses/MIT) [](https://www.python.org/downloads/) [](https://github.com/features/actions) [](https://hub.docker.com/r/zhulinsen/dailystockanalysis) 产品预览 · 功能特性 · 快速开始 · 推送效果 · 文档中心 · 完整指南 简体中文 | English | 繁體中文 💖 赞助商 (Sponsors) 感谢 Modelflare 赞助本项目！由美国 Havenbyte LLC 运营，满血稳定不掺水，低成本接入 GPT、Claude、Gemini、Grok 及 40+ 图片/视频模型。指定 OpenAI 分组提供 65% / 75% / 85% 每日缓存命中率保障；单笔充值 US$20 解锁 GPT 0.015x，US$50 解锁 Claude 0.03x。专属链接注册 点击右上角 Fork 按钮（顺便点个 Star⭐ 支持一下） Settings → Secrets and variables → Actions → New repository secret AI 模型配置（至少配置一个） 默认先选一个模型服务商并填写 API Key；需要多模型、图片识别、本地模型或高级路由时，再参考 LLM 配置指南。 通知渠道配置（至少配置一个） 更多渠道、签名校验、分组邮件、Markdown 转图片等配置见 通知渠道详细配置。 自选股配置（必填） 新闻源配置（推荐） 新闻源会显著影响舆情、公告、事件和催化因素质量，建议至少配置一个搜索服务。 更多搜索源、社交舆情和降级规则见 搜索服务配置。 行情数据源配置（可选） Actions…
Read the full README ↗ · Preview checked 2026-10-30T16:49:56.051Z
Inside the original README — Document outline
- 📈 股票智能分析系统
- 🖥️ 产品预览
- ✨ 功能特性
- 技术栈与数据来源
- 🚀 快速开始
- 方式一：GitHub Actions（推荐）
- 1. Fork 本仓库
- 2. 配置 Secrets
- 3. 启用 Actions
- 4. 手动测试
- 完成
- 方式二：客户端配置教程 / 本地运行 / Docker 部署
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Links from the README
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Documentation belongs to its respective authors. Reported project/model license: MIT. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
What this repository does
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.
Repository facts
- Owner
- ZhuLinsen
- Primary language
- Python
- Stars
- 67,335
- Forks
- 55,779
- Open issues + pull requests
- 39
- License
- MIT
- Archived
- No
- Default branch
- main
- Created
- 2026-01-10T06:43:20.000Z
- Last push
- 2026-10-31T06:34:31.000Z
Topics and intended use
Owner-supplied topics: a-stock, ai-agent, aigc, llm, quant, quantitative-finance, quantitative-trading
Review the README for scope, installation, examples and limitations. We do not run repository code or certify it.
Evaluate before installing
Review licensing and dependencies, inspect recent commits and unresolved issues, and test in an isolated environment before production use. Stars and forks alone cannot answer these questions.
Source and freshness
Source: GitHub. Metadata observed 2026-10-31T18:43:23.065Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
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