{"id":48441859,"url":"https://github.com/liusaipu/18-ml-stock","last_synced_at":"2026-04-13T08:02:26.725Z","repository":{"id":349553853,"uuid":"1202732871","full_name":"liusaipu/18-ML-STOCK","owner":"liusaipu","description":"基于 Wails + Go + React 的跨平台股票分析桌面应用。支持 A 股/港股的「十八步财报分析法」，自动生成深度投资分析报告，核心财务指标支持计算过程溯源，接入实时行情与可比公司对比，助你系统评估企业价值与投资风险。","archived":false,"fork":false,"pushed_at":"2026-04-06T14:11:40.000Z","size":1555,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2026-04-06T15:15:04.959Z","etag":null,"topics":["finance","go","react","stock-analysis","typescript","wails"],"latest_commit_sha":null,"homepage":"","language":"TypeScript","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/liusaipu.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2026-04-06T10:42:34.000Z","updated_at":"2026-04-06T13:10:58.000Z","dependencies_parsed_at":null,"dependency_job_id":null,"html_url":"https://github.com/liusaipu/18-ML-STOCK","commit_stats":null,"previous_names":["liusaipu/18-ml-stock"],"tags_count":2,"template":false,"template_full_name":null,"purl":"pkg:github/liusaipu/18-ML-STOCK","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/liusaipu%2F18-ML-STOCK","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/liusaipu%2F18-ML-STOCK/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/liusaipu%2F18-ML-STOCK/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/liusaipu%2F18-ML-STOCK/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/liusaipu","download_url":"https://codeload.github.com/liusaipu/18-ML-STOCK/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/liusaipu%2F18-ML-STOCK/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31479006,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-06T14:34:32.243Z","status":"ssl_error","status_checked_at":"2026-04-06T14:34:31.723Z","response_time":112,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["finance","go","react","stock-analysis","typescript","wails"],"created_at":"2026-04-06T16:00:36.906Z","updated_at":"2026-04-11T03:39:14.447Z","avatar_url":"https://github.com/liusaipu.png","language":"TypeScript","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Stock Analyzer\n\n基于 **Wails v2 + Go + React + TypeScript** 的跨平台股票分析桌面应用，支持对 A 股及港股进行系统的「十八步财报分析法」评估，生成专业的深度投资分析报告。\n\n---\n\n## ✨ 功能特性\n\n- **自选股票管理**：支持 A 股（沪/深/创业板/科创板/北交所）+ 港股，最多 100 只，拼音/代码/名称搜索，拖拽排序\n- **财报数据获取**：\n  - 从东方财富网络自动下载三大表\n  - 支持同花顺 CSV/Excel 手动导入\n  - 自动多源校验与历史版本归档（保留最近 3 批）\n- **十八步财务分析引擎**：完整覆盖审计、资产质量、偿债、盈利、现金流、ROE、成长、分红等 18 个维度\n- **Beneish M-Score**：完整模型计算财报操纵风险\n- **可比公司分析**：添加 3~5 家可比公司，自动计算均值/最高/最低/排名百分位，支持多年度趋势对比\n- **计算过程溯源**：核心财务指标支持逐层展开，查看原始数据、计算公式与中间步骤\n- **实时行情**：对接东方财富 + 腾讯财经 fallback，展示最新价、PE/PB、换手率、K 线等\n- **A-Score 综合风险画像**：专为 A 股构建的 6 维风险评分（M-Score + Z-Score + 现金流偏离度 + 应收账款异常 + 毛利率波动 + 非财务爬虫信号），0-100 分连续化评估，支持 5 年历史趋势与同业对比\n- **投资报告生成**：16 模块专业框架（执行摘要、基本面、横向对比、政策匹配、RIM 估值、A-Score 风险画像、技术面、ML 预测、智能选股、芒格逆向检查、巴芒清单、舆情监控、投资建议等），支持 Markdown 导出\n\n---\n\n## 📸 截图\n\n### 深色模式\n![深色模式](./docs/screenshots/screenshot-dark.png)\n\n### 浅色模式\n![浅色模式](./docs/screenshots/screenshot-light.png)\n\n---\n\n## 🛠️ 依赖要求\n\n### 必需\n- **Go** `\u003e= 1.22`（推荐 1.26+）\n- **Node.js** `\u003e= 18`（推荐 20+）\n- **npm** 或 **pnpm**\n- **Wails CLI** `\u003e= v2.12.0`\n\n### macOS 额外依赖\n- **Xcode Command Line Tools**：用于 CGO 编译\n  ```bash\n  xcode-select --install\n  ```\n\n### Windows 额外依赖\n- **WebView2 Runtime**（Windows 10/11 通常已预装）\n- **gcc 编译器**：推荐通过 [MSYS2](https://www.msys2.org/) 安装 `mingw-w64-x86_64-gcc`\n\n### 安装 Wails CLI\n```bash\ngo install github.com/wailsapp/wails/v2/cmd/wails@latest\n```\n\n验证安装：\n```bash\nwails version\n```\n\n---\n\n## 🚀 构建与运行\n\n### 1. 克隆项目\n```bash\ngit clone https://github.com/yourusername/stock-analyzer.git\ncd stock-analyzer\n```\n\n### 2. 安装前端依赖\n```bash\ncd frontend\nnpm install\ncd ..\n```\n\n### 3. 开发模式\n```bash\n# 同时启动 Go 后端 + Vite 前端热重载\nwails dev\n```\n\n开发模式下会自动打开桌面应用窗口。你也可以在浏览器中访问 `http://localhost:34115` 进行前端调试（Go 方法通过 Wails JS 绑定调用）。\n\n### 4. 构建生产版本\n```bash\n# 构建当前平台的应用\nwails build\n\n# 构建 macOS Universal 二进制\nwails build -platform darwin/universal\n\n# 构建 Windows 可执行文件\nwails build -platform windows/amd64\n```\n\n### 5. 打包分发（脚本）\n```bash\n# 同时构建 macOS + Windows 并生成 zip\n./build-release.sh all\n\n# 仅构建 macOS\n./build-release.sh mac\n\n# 仅构建 Windows\n./build-release.sh windows\n```\n\n---\n\n## 📁 项目结构\n\n```\nstock-analyzer/\n├── app.go                    # Wails 主应用入口（暴露前后端绑定方法）\n├── main.go                   # 程序入口\n├── storage.go                # 本地文件存储（自选列表、财报数据、报告、缓存）\n├── csvparser.go              # 同花顺 CSV/Excel 宽容解析器\n├── build-release.sh          # 一键打包脚本\n├── wails.json                # Wails 配置文件\n├── go.mod                    # Go 模块依赖\n├── analyzer/                 # 18 步财务分析引擎\n│   ├── engine.go             # 分析主入口编排\n│   ├── steps.go              # 18 步逐条计算逻辑\n│   ├── data.go               # 财务数据结构与科目归一化\n│   ├── types.go              # 分析结果类型定义（含 CalcTrace 溯源）\n│   ├── mscore.go             # Beneish M-Score 模型\n│   ├── risk_analysis.go      # A-Score 综合风险评分（6 维融合）\n│   ├── ascore_module.go      # A-Score 风险画像 Markdown 模块\n│   ├── evaluator.go          # 扣分规则与百分制评分\n│   ├── report.go             # Markdown 报告生成\n│   ├── comparable.go         # 可比公司分析\n│   ├── ml_inference.go       # ONNX 双引擎 ML 预测推理\n│   ├── policy.go             # 十五五政策匹配评估\n│   └── rim.go / rim_data.go  # 剩余收益模型（RIM）估值\n├── downloader/               # 网络数据下载器\n│   ├── eastmoney.go          # 东方财富 API（财报下载、行情、基本资料）\n│   ├── risk_crawler.go       # 非财务风险爬虫（股权质押/问询函/减持）\n│   ├── mapping.go            # 科目映射表\n│   ├── validator.go          # 多源数据校验\n│   └── concept.go            # 概念与风口数据获取\n├── ml_models/                # Python ML 模型与爬虫脚本\n│   ├── inference.py          # ONNX 双引擎推理服务\n│   ├── risk_crawler.py       # 风险数据爬虫（akshare / cninfo）\n│   └── *.onnx                # 导出后的 ONNX 模型文件\n├── frontend/                 # React + TypeScript + Vite 前端\n│   ├── src/\n│   │   ├── App.tsx           # 主应用组件\n│   │   ├── App.css           # 主题样式（深色/浅色）\n│   │   ├── KlineChart.tsx    # K 线图表组件\n│   │   ├── stocks.ts         # 股票代码库\n│   │   └── wailsjs/          # Wails 自动生成的 Go 绑定\n│   ├── index.html\n│   ├── package.json\n│   └── vite.config.ts\n├── docs/\n│   └── screenshots/            # 项目截图\n├── 功能列表.md               # 详细功能清单\n└── README.md                 # 本文件\n```\n\n---\n\n## 📝 数据说明\n\n- **本地存储路径**：`~/.config/stock-analyzer/`\n  - `watchlist.json`：自选列表\n  - `comparables.json`：可比公司配置\n  - `data/{symbol}/`：当前生效的财报 JSON\n  - `data/{symbol}/history/`：历史归档（最近 3 批）\n  - `reports/{symbol}/`：生成的 Markdown 报告\n\n- **数据来源**：东方财富公开 API、腾讯财经接口、用户手动导入 CSV\n\n---\n\n## 🗺️ 改进计划（Roadmap）\n\n### A-Score：A 股适配综合风险评分（前两阶段已完成）\n\nA-Score 综合风险评分已完整落地，当前实现包含：\n- **财务造假层**：M-Score（15%）+ 现金流偏离度（20%）+ 应收账款异常度（15%）+ 毛利率异常波动（10%）\n- **破产/偿债层**：Altman Z-Score A 股适配版（20%）\n- **A 股特有非财务层**：股权质押率、监管问询函、大股东减持（20%），通过 `akshare` / `cninfo` 爬虫自动获取\n\n#### 尚未实现\n\n- **Engine D 风险预警模型**：以历史 A 股舞弊/退市公司为正样本，训练 LightGBM 风险预警模型，输入为 A-Score 各维度 + 技术面 + 活跃度，实现事前概率化预警。\n\n---\n\n## 📄 License\n\n[MIT](./LICENSE)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fliusaipu%2F18-ml-stock","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fliusaipu%2F18-ml-stock","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fliusaipu%2F18-ml-stock/lists"}