[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6CVM2Z7XR824CSKCBBQK08X":3,"skill-same:01M6CVM2Z7XR824CSKCBBQK08X":64},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":9,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":15,"categories":16,"keywords":17,"publishedAt":22,"linkOnly":23,"markdownContent":24,"markdownBody":25,"frontMatter":26,"refName":27,"commitSha":28,"skillDirectory":29,"forksCount":30,"repositoryHtmlUrl":31,"repositoryHomepageUrl":6,"ownerHtmlUrl":32,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":33,"install":34,"resources":47},"01M6CVM2Z7XR824CSKCBBQK08X","quant-stock-selection-intro",null,"量化选股基础知识，介绍量化投资的概念、框架以及与传统投资方法的区别。当需要理解量化选股的核心理念、适用场景或构建量化选股系统时使用此 skill。","FeiCoder\u002FSkill-Factory","FeiCoder","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F49159289?v=4","01M6CVJSHMSFYNK0YV6R84T6QM","01M6CVJSNX8MP1D0JX73QQP6CJ",11,"MIT","https:\u002F\u002Fgithub.com\u002FFeiCoder\u002FSkill-Factory\u002Fblob\u002Fmain\u002Fproduced_skill\u002Fstock-selection\u002Fquant-stock-selection-intro\u002FSKILL.md",[],[18,19,20,21],"intro","selection","quant","quant stock selection intro","2026-11-10 10:12:30",false,"---\nname: quant-stock-selection-intro\ndescription: 量化选股基础知识，介绍量化投资的概念、框架以及与传统投资方法的区别。当需要理解量化选股的核心理念、适用场景或构建量化选股系统时使用此 skill。\n---\n\n# 量化选股入门\n\n## 什么是量化选股\n\n量化选股是利用数量化的方法选择股票组合，期望该股票组合能够获得超越基准收益率的投资行为。\n\n量化选股策略可以分为两类：\n1. **基本面选股** - 基于公司财务、估值等指标\n2. **市场行为选股** - 基于资金流向、价格走势等市场数据\n\n## 量化选股的优势\n\n- **系统性**：能够处理大量股票，覆盖面广\n- **客观性**：避免人为情绪干扰\n- **可验证性**：策略可以基于历史数据进行回测验证\n- **纪律性**：严格执行预先设定的交易规则\n\n## 量化选股主要策略\n\n| 策略类型 | 说明 |\n|----------|------|\n| 多因子模型 | 综合多个因子进行选股 |\n| 风格轮动 | 根据市场风格切换进行选股 |\n| 行业轮动 | 根据行业轮动规律选股 |\n| 资金流模型 | 根据资金流向选股 |\n| 动量反转 | 根据历史涨跌规律选股 |\n| 一致预期 | 根据分析师预期选股 |\n| 趋势追踪 | 根据价格趋势选股 |\n| 筹码选股 | 根据筹码分布选股 |\n\n## 业绩评价指标\n\n量化选股需要从两个方面评价：\n1. **收益率指标** - 年化收益率、超额收益率等\n2. **风险度指标** - 最大回撤、波动率、夏普比率等\n\n## A股市场特点\n\n- 个人投资者较多，市场情绪影响大\n- 存在明显的风格轮动和行业轮动效应\n- 资金流信息相对有效\n- 小盘股效应明显\n\n## 使用指南\n\n当需要：\n- 理解量化选股的基本框架\n- 选择合适的选股策略类型\n- 设计量化选股系统架构\n- 评估选股策略效果\n\n请使用此 skill 获取指导。\n","# 量化选股入门\n\n## 什么是量化选股\n\n量化选股是利用数量化的方法选择股票组合，期望该股票组合能够获得超越基准收益率的投资行为。\n\n量化选股策略可以分为两类：\n1. **基本面选股** - 基于公司财务、估值等指标\n2. **市场行为选股** - 基于资金流向、价格走势等市场数据\n\n## 量化选股的优势\n\n- **系统性**：能够处理大量股票，覆盖面广\n- **客观性**：避免人为情绪干扰\n- **可验证性**：策略可以基于历史数据进行回测验证\n- **纪律性**：严格执行预先设定的交易规则\n\n## 量化选股主要策略\n\n| 策略类型 | 说明 |\n|----------|------|\n| 多因子模型 | 综合多个因子进行选股 |\n| 风格轮动 | 根据市场风格切换进行选股 |\n| 行业轮动 | 根据行业轮动规律选股 |\n| 资金流模型 | 根据资金流向选股 |\n| 动量反转 | 根据历史涨跌规律选股 |\n| 一致预期 | 根据分析师预期选股 |\n| 趋势追踪 | 根据价格趋势选股 |\n| 筹码选股 | 根据筹码分布选股 |\n\n## 业绩评价指标\n\n量化选股需要从两个方面评价：\n1. **收益率指标** - 年化收益率、超额收益率等\n2. **风险度指标** - 最大回撤、波动率、夏普比率等\n\n## A股市场特点\n\n- 个人投资者较多，市场情绪影响大\n- 存在明显的风格轮动和行业轮动效应\n- 资金流信息相对有效\n- 小盘股效应明显\n\n## 使用指南\n\n当需要：\n- 理解量化选股的基本框架\n- 选择合适的选股策略类型\n- 设计量化选股系统架构\n- 评估选股策略效果\n\n请使用此 skill 获取指导。\n",{"name":5,"description":7},"main","a5ea54eb2c1aeeb7767d270769f6b499e3ae39d7","produced_skill\u002Fstock-selection\u002Fquant-stock-selection-intro",4,"https:\u002F\u002Fgithub.com\u002FFeiCoder\u002FSkill-Factory","https:\u002F\u002Fgithub.com\u002FFeiCoder","2026-02-27 11:40:18",{"source":8,"skillName":5,"commands":35,"prompt":45,"zipAvailable":46},[36,39,42],{"tool":37,"command":38},"npx","npx skills add FeiCoder\u002FSkill-Factory --skill quant-stock-selection-intro",{"tool":40,"command":41},"bunx","bunx skills add FeiCoder\u002FSkill-Factory --skill quant-stock-selection-intro",{"tool":43,"command":44},"pnpm","pnpm dlx skills add FeiCoder\u002FSkill-Factory --skill 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