[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6CVM8AWSZCXGFYTCMZT55FA":3,"skill-same:01M6CVM8AWSZCXGFYTCMZT55FA":62},{"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":22,"publishedAt":24,"linkOnly":25,"markdownContent":26,"markdownBody":27,"frontMatter":28,"refName":29,"commitSha":30,"skillDirectory":31,"forksCount":32,"repositoryHtmlUrl":33,"repositoryHomepageUrl":6,"ownerHtmlUrl":34,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":35,"install":36,"resources":49},"01M6CVM8AWSZCXGFYTCMZT55FA","hurst-timing",null,"Hurst指数择时模型，基于分形市场理论和R\u002FS分析方法判断市场趋势拐点。适用于需要识别市场长期记忆性和趋势转折的场景。","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\u002Ftiming\u002Fhurst-timing\u002FSKILL.md",[17],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000035","市场营销","PROFESSION","适用职业",[23],"hurst timing","2026-11-10 10:12:30",false,"---\nname: hurst-timing\ndescription: Hurst指数择时模型，基于分形市场理论和R\u002FS分析方法判断市场趋势拐点。适用于需要识别市场长期记忆性和趋势转折的场景。\n---\n\n# Hurst指数择时\n\n## 基本概念\n\nHurst指数基于分形市场理论，用于判断市场趋势的持续性和转折点。\n\n### 分形市场理论\n\n- 市场由不同投资期限的投资者组成\n- 信息对不同投资者影响不同\n- 价格变化具有长期记忆性\n- 不是随机游走\n\n### Hurst指数含义\n\n```\nH ∈ (0, 1)\n- H = 0.5: 随机游走，无记忆\n- H > 0.5: 趋势持续（动量）\n- H \u003C 0.5: 反转持续（均值回归）\n```\n\n## R\u002FS分析方法\n\n### 重标极差法\n\n计算步骤：\n\n1. 将时间序列分为n个子区间\n2. 计算每个子区间的均值和累积离差\n3. 计算极差R\n4. 计算标准差S\n5. 计算R\u002FS\n\n### 长期记忆长度\n\nHurst指数峰值对应的n值：\n- **A股市场**：n ≈ 233个交易日\n- **含义**：约1年的平均循环周期\n\n## 策略模型\n\n### Local Hurst指数\n\n移动计算Hurst指数，反映市场短期记忆性变化。\n\n### 趋势判断\n\n```\nH > 0.55: 趋势持续 → 顺势操作\nH \u003C 0.55: 趋势可能反转 → 谨慎\nH ≈ 0.5: 无明显趋势 → 观望\n```\n\n## 交易信号\n\n### 买入信号\n\n- Local Hurst指数连续5日低于E(H)\n- 且市场较233日前上涨\n- 第6个交易日发出买入信号\n\n### 卖出信号\n\n- Local Hurst指数连续5日低于E(H)\n- 且市场较233日前上涨\n- 满仓状态下第6个交易日发出卖出信号\n\n## A股实证\n\n### 长期记忆特征\n\n- **上证综指**：H = 0.61（n=233）\n- **深证成指**：H = 0.61（n=233）\n- **结论**：A股具有长期记忆性\n\n### 市场转折识别\n\n- Hurst指数低位（\u003C0.55）与市场反转期吻合\n- 市场反转时H接近0.5\n- 说明A股不完全有效\n\n## 策略特点\n\n### 优点\n\n1. **理论扎实**：基于分形市场理论\n2. **长期视角**：考虑市场长期记忆性\n3. **转折识别**：能识别主要市场拐点\n\n### 局限\n\n1. **参数选择**：n值影响结果\n2. **信号延迟**：转折后才会出现信号\n3. **不精准**：只能判断大致位置\n\n## 实践建议\n\n### 参数设置\n\n- **n值**：200-250个交易日\n- **阈值**：0.55-0.60\n- **连续天数**：5-10天\n\n### 配合使用\n\n- 结合趋势指标确认信号\n- 结合成交量验证\n- 设置止损\n\n## 注意事项\n\n1. **市场环境**：对趋势明显的市场更有效\n2. **参数稳定**：不需频繁调整\n3. **辅助工具**：作为辅助判断工具使用\n\n## 适用场景\n\n- 大盘趋势判断\n- 主要转折点识别\n- 长期择时\n- 配合其他择时指标\n","# Hurst指数择时\n\n## 基本概念\n\nHurst指数基于分形市场理论，用于判断市场趋势的持续性和转折点。\n\n### 分形市场理论\n\n- 市场由不同投资期限的投资者组成\n- 信息对不同投资者影响不同\n- 价格变化具有长期记忆性\n- 不是随机游走\n\n### Hurst指数含义\n\n```\nH ∈ (0, 1)\n- H = 0.5: 随机游走，无记忆\n- H > 0.5: 趋势持续（动量）\n- H \u003C 0.5: 反转持续（均值回归）\n```\n\n## R\u002FS分析方法\n\n### 重标极差法\n\n计算步骤：\n\n1. 将时间序列分为n个子区间\n2. 计算每个子区间的均值和累积离差\n3. 计算极差R\n4. 计算标准差S\n5. 计算R\u002FS\n\n### 长期记忆长度\n\nHurst指数峰值对应的n值：\n- **A股市场**：n ≈ 233个交易日\n- **含义**：约1年的平均循环周期\n\n## 策略模型\n\n### Local Hurst指数\n\n移动计算Hurst指数，反映市场短期记忆性变化。\n\n### 趋势判断\n\n```\nH > 0.55: 趋势持续 → 顺势操作\nH \u003C 0.55: 趋势可能反转 → 谨慎\nH ≈ 0.5: 无明显趋势 → 观望\n```\n\n## 交易信号\n\n### 买入信号\n\n- Local Hurst指数连续5日低于E(H)\n- 且市场较233日前上涨\n- 第6个交易日发出买入信号\n\n### 卖出信号\n\n- Local Hurst指数连续5日低于E(H)\n- 且市场较233日前上涨\n- 满仓状态下第6个交易日发出卖出信号\n\n## A股实证\n\n### 长期记忆特征\n\n- **上证综指**：H = 0.61（n=233）\n- **深证成指**：H = 0.61（n=233）\n- **结论**：A股具有长期记忆性\n\n### 市场转折识别\n\n- Hurst指数低位（\u003C0.55）与市场反转期吻合\n- 市场反转时H接近0.5\n- 说明A股不完全有效\n\n## 策略特点\n\n### 优点\n\n1. **理论扎实**：基于分形市场理论\n2. **长期视角**：考虑市场长期记忆性\n3. **转折识别**：能识别主要市场拐点\n\n### 局限\n\n1. **参数选择**：n值影响结果\n2. **信号延迟**：转折后才会出现信号\n3. **不精准**：只能判断大致位置\n\n## 实践建议\n\n### 参数设置\n\n- **n值**：200-250个交易日\n- **阈值**：0.55-0.60\n- **连续天数**：5-10天\n\n### 配合使用\n\n- 结合趋势指标确认信号\n- 结合成交量验证\n- 设置止损\n\n## 注意事项\n\n1. **市场环境**：对趋势明显的市场更有效\n2. **参数稳定**：不需频繁调整\n3. **辅助工具**：作为辅助判断工具使用\n\n## 适用场景\n\n- 大盘趋势判断\n- 主要转折点识别\n- 长期择时\n- 配合其他择时指标\n",{"name":5,"description":7},"main","a5ea54eb2c1aeeb7767d270769f6b499e3ae39d7","produced_skill\u002Ftiming\u002Fhurst-timing",4,"https:\u002F\u002Fgithub.com\u002FFeiCoder\u002FSkill-Factory","https:\u002F\u002Fgithub.com\u002FFeiCoder","2026-02-27 11:40:18",{"source":8,"skillName":5,"commands":37,"prompt":47,"zipAvailable":48},[38,41,44],{"tool":39,"command":40},"npx","npx skills add FeiCoder\u002FSkill-Factory --skill hurst-timing",{"tool":42,"command":43},"bunx","bunx skills add FeiCoder\u002FSkill-Factory --skill hurst-timing",{"tool":45,"command":46},"pnpm","pnpm dlx skills add FeiCoder\u002FSkill-Factory --skill 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