{"id":26856609,"url":"https://github.com/ArvinLovegood/go-stock","last_synced_at":"2025-03-31T00:03:08.769Z","repository":{"id":268497671,"uuid":"904534974","full_name":"ArvinLovegood/go-stock","owner":"ArvinLovegood","description":"🦄🦄🦄AI赋能股票分析：自选股行情获取，成本盈亏展示，涨跌报警推送。目前已支持A股，港股，美股，未来计划加入基金，ETF等支持。支持市场整体/个股情绪分析，K线分析等。数据全部保留在本地。支持DeepSeek，OpenAI， 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go-stock : 基于Wails和NaiveUI构建的AI赋能股票分析工具\n## ![go-stock](./build/appicon.png)\n![GitHub Release](https://img.shields.io/github/v/release/ArvinLovegood/go-stock?link=https%3A%2F%2Fgithub.com%2FArvinLovegood%2Fgo-stock%2Freleases\u0026link=https%3A%2F%2Fgithub.com%2FArvinLovegood%2Fgo-stock%2Freleases)\n[![GitHub Repo stars](https://img.shields.io/github/stars/ArvinLovegood/go-stock?link=https%3A%2F%2Fgithub.com%2FArvinLovegood%2Fgo-stock)](https://github.com/ArvinLovegood/go-stock)\n[![star](https://gitee.com/arvinlovegood_admin/go-stock/badge/star.svg?theme=dark)](https://gitee.com/arvinlovegood_admin/go-stock)\n[![star](https://gitcode.com/ArvinLovegood/go-stock/star/badge.svg)](https://gitcode.com/ArvinLovegood/go-stock)\n\n### 🌟公众号\n![扫码_搜索联合传播样式-白色版.png](build/screenshot/%E6%89%AB%E7%A0%81_%E6%90%9C%E7%B4%A2%E8%81%94%E5%90%88%E4%BC%A0%E6%92%AD%E6%A0%B7%E5%BC%8F-%E7%99%BD%E8%89%B2%E7%89%88.png)\n\n### 📈 交流群\nQQ交流群：[点击链接加入群聊【go-stock交流群】：491605333](http://qm.qq.com/cgi-bin/qm/qr?_wv=1027\u0026k=0YQ8qD3exahsD4YLNhzQTWe5ssstWC89\u0026authKey=usOMMRFtIQDC%2FYcatHYapcxQbJ7PwXPHK9OypTXWzNjAq%2FRVvQu9bj2lRgb%2BSZ3p\u0026noverify=0\u0026group_code=491605333)\n\n\n###  ✨ 简介\n- 本项目基于Wails和NaiveUI开发，结合AI大模型构建的股票分析工具。\n- 目前已支持A股，港股，美股，未来计划加入基金，ETF等支持。\n- 支持市场整体/个股情绪分析，K线技术指标分析等功能。\n- 本项目仅供娱乐，不喜勿喷，AI分析股票结果仅供学习研究，投资有风险，请谨慎使用。\n- 开发环境主要基于Windows10+，其他平台未测试或功能受限。\n\n### 📦 立即体验\n- 安装版：[go-stock-amd64-installer.exe](https://github.com/ArvinLovegood/go-stock/releases)\n- 绿色版：[go-stock-windows-amd64.exe](https://github.com/ArvinLovegood/go-stock/releases)\n\n\n### 💬 支持大模型/平台\n| 模型 | 状态 | 备注                                                                                                                                                  |\n| --- | --- |-----------------------------------------------------------------------------------------------------------------------------------------------------|\n| [OpenAI](https://platform.openai.com/) | ✅ | 可接入任何 OpenAI 接口格式模型                                                                                                                                 |\n| [Ollama](https://ollama.com/) | ✅ | 本地大模型运行平台                                                                                                                                           |\n| [LMStudio](https://lmstudio.ai/) | ✅ | 本地大模型运行平台                                                                                                                                           |\n| [AnythingLLM](https://anythingllm.com/) | ✅ | 本地知识库                                                                                                                                               |\n| [DeepSeek](https://www.deepseek.com/) | ✅ | deepseek-reasoner模型测试有问题，可通过本地模型或聚合模型平台使用                                                                                                           |\n| [大模型聚合平台](https://cloud.siliconflow.cn/i/foufCerk) | ✅ | 如：[硅基流动](https://cloud.siliconflow.cn/i/foufCerk)，[火山方舟](https://www.volcengine.com/experience/ark?utm_term=202502dsinvite\u0026ac=DSASUQY5\u0026rc=IJSE43PZ) |\n\n### \u003cspan style=\"color: #568DF4;\"\u003e各位亲爱的朋友们，如果您对这个项目感兴趣，请先给我一个\u003ci style=\"color: #EA2626;\"\u003estar\u003c/i\u003e吧，谢谢！\u003c/span\u003e💕\n- 经测试目前硅基流动(siliconflow)提供的deepSeek api 服务比较稳定，注册即送2000万Tokens，[注册链接](https://cloud.siliconflow.cn/i/foufCerk)\n- 火山方舟：每个模型注册即送50万tokens，[注册链接](https://www.volcengine.com/experience/ark?utm_term=202502dsinvite\u0026ac=DSASUQY5\u0026rc=IJSE43PZ)\n- Tushare大数据开放社区,免费提供各类金融数据,助力行业和量化研究，[注册链接](https://tushare.pro/register?reg=701944)\n- 软件快速迭代开发中,请大家优先测试和使用最新发布的版本。\n- 欢迎大家提出宝贵的建议，欢迎提issue,PR。当然更欢迎[赞助我](#都划到这了如果我的项目对您有帮助请赞助我吧)。💕\n\n\n## 🧩 重大功能开发计划\n| 功能说明            | 状态 | 备注                                                                                                       |\n|-----------------|----|----------------------------------------------------------------------------------------------------------|\n| ETF支持           | 🚧 | ETF数据支持 (目前可以查看净值和估值)                                                                                    |\n| 美股支持            | ✅ | 美股数据支持                                                                                                   |\n| 港股支持            | ✅  | 港股数据支持     (目前有延迟)                                                                                       |\n| 多轮对话            | ✅  | AI分析后可继续对话提问                                                                                             |\n| 自定义AI分析提问模板     | ✅  | 可配置的提问模板 [v2025.2.12.7-alpha](https://github.com/ArvinLovegood/go-stock/releases/tag/v2025.2.12.7-alpha) |\n| 不再强制依赖Chrome浏览器 | ✅  | 默认使用edge浏览器抓取新闻资讯                                                                                        |\n\n## 👀 更新日志\n### 2025.03.30 AI自动定时分析功能\n### 2025.03.29 多提示词模板管理，AI分析时支持选择不同提示词模板\n### 2025.03.28 AI分析结果保存为markdown文件时，支持保存位置目录选择\n### 2025.03.15 自定义爬虫使用的浏览器路径配置\n### 2025.03.14 优化编译构建，大幅减少编译后的程序文件大小\n### 2025.03.09 基金估值和净值监控查看\n### 2025.03.06 项目社区分享功能\n### 2025.02.28 美股数据支持\n### 2025.02.23 弹幕功能，盯盘不再孤单，无聊划个水！😎\n### 2025.02.22 港股数据支持(目前有延迟)\n\n### 2025.02.16 AI分析后可继续对话提问\n- [v2025.2.16.1-alpha](https://github.com/ArvinLovegood/go-stock/releases/tag/v2025.2.16.1-alpha)\n\n### 2025.02.12 可配置的提问模板\n- [v2025.2.12.7-alpha](https://github.com/ArvinLovegood/go-stock/releases/tag/v2025.2.12.7-alpha)\n\n\n## 🦄 重大更新\n### BIG NEWS !!! 重大更新！！！\n- 2025.01.17 新增AI大模型分析股票功能\n  ![img_5.png](build/screenshot/img.png)\n## 📸 功能截图\n![img_1.png](build/screenshot/img_6.png)\n### 设置\n![img_12.png](build/screenshot/img_4.png)\n### 成本设置\n![img.png](build/screenshot/img_7.png)\n### 日K\n![img_2.png](build/screenshot/img_8.png)\n### 分时\n![img_3.png](build/screenshot/img_9.png)\n### 钉钉报警通知\n![img_4.png](build/screenshot/img_5.png)\n### AI分析股票\n![img_5.png](build/screenshot/img.png)\n### 版本信息提示\n![img_11.png](build/screenshot/img_11.png)\n\n## 💕 感谢以下项目\n- [NaiveUI](https://www.naiveui.com/)\n- [Wails](https://wails.io/)\n- [Vue](https://vuejs.org/)\n- [Vite](https://vitejs.dev/)\n- [Tushare](https://tushare.pro/register?reg=701944)\n\n## 😘 赞助我\n### 都划到这了，如果我的项目对您有帮助，请赞助我吧！😊😊😊\n| 支付宝 | 微信  |\n|-----|-----| \n| ![alipay.jpg](build/screenshot/alipay.jpg)  | ![wxpay.jpg](build/screenshot/wxpay.jpg) |\n\n\n## ⭐ Star History\n[![Star History Chart](https://api.star-history.com/svg?repos=ArvinLovegood/go-stock\u0026type=Date)](https://star-history.com/#ArvinLovegood/go-stock\u0026Date)\n## 🤖 状态\n![Alt](https://repobeats.axiom.co/api/embed/40b07d415a42c2264a18c4fe1b6f182ff1470687.svg \"Repobeats analytics image\")\n\n## 🐳 关于技术支持申明\n- 本软件基于开源技术构建，使用Wails、NaiveUI、Vue、AI大模型等开源项目。 技术上如有问题，可以先向对应的开源社区请求帮助。\n- 开源不易，本人精力和时间有限，如需一对一技术支持，请先赞助。联系微信(备注 技术支持)：ArvinLovegood\n\n\u003cimg src=\"./build/wx.jpg\" width=\"301px\" height=\"402px\" alt=\"ArvinLovegood\"\u003e\n\n\n| 技术支持方式                          | 赞助(元) | \n|:--------------------------------|:-----:|\n| 加 QQ：506808970，微信：ArvinLovegood | 100/次 |\n| 长期技术支持（不限次数，新功能优先体验等）            | 5000  |                  \n\n\n\n## License\n[Apache License 2.0](LICENSE)\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FArvinLovegood%2Fgo-stock","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FArvinLovegood%2Fgo-stock","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FArvinLovegood%2Fgo-stock/lists"}