[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6CVMA0PCR0XX1QD0CVWVT6H":3,"skill-same:01M6CVMA0PCR0XX1QD0CVWVT6H":58},{"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":26,"linkOnly":27,"markdownContent":28,"markdownBody":29,"frontMatter":30,"refName":31,"commitSha":32,"skillDirectory":33,"forksCount":34,"repositoryHtmlUrl":35,"repositoryHomepageUrl":6,"ownerHtmlUrl":36,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":37,"install":38,"resources":51},"01M6CVMA0PCR0XX1QD0CVWVT6H","market-sentiment-timing",null,"市场情绪择时策略，基于投资者情绪指标和主成分分析构建情绪指数。适用于需要利用市场情绪进行大盘择时的场景。","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\u002Fmarket-sentiment-timing\u002FSKILL.md",[17],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000035","市场营销","PROFESSION","适用职业",[23,24,25],"sentiment","Market","market sentiment timing","2026-11-10 10:12:30",false,"---\nname: market-sentiment-timing\ndescription: 市场情绪择时策略，基于投资者情绪指标和主成分分析构建情绪指数。适用于需要利用市场情绪进行大盘择时的场景。\n---\n\n# 市场情绪择时\n\n## 基本概念\n\n市场情绪是指投资者的心理和情绪状态，反映对市场的乐观或悲观程度。\n\n### 核心观点\n\n> 心理情绪造就90%的行情：T(趋势) = G(资金) + P(心理)\n\n### A股市场特点\n\n- 个人投资者众多\n- 羊群效应显著\n- 情绪波动大\n\n## 情绪指标类型\n\n### 1. 直接调查类\n\n- 投资者信心指数\n- 投资意愿指数\n\n### 2. 折溢价率类\n\n- 封闭式基金折价率\n- 可转债转股溢价率\n- 权证的溢价率\n\n### 3. 新股指标\n\n- IPO首日涨跌幅\n- IPO发行PE\n- 新股发行数量\n\n### 4. 市场指标\n\n- 上涨家数百分比\n- 创新高\u002F低股票数\n- 涨停家数\n\n### 5. 投资者行为\n\n- 新增开户数\n- 基金仓位\n- 保证金交易\n- 资金出入\n\n## 情绪指数构建\n\n### 主成分分析法\n\n选取7个核心指标：\n1. 封闭式基金折价率\n2. 转股溢价率\n3. IPO首日涨跌幅\n4. IPO发行PE\n5. 上涨家数百分比\n6. 混合型基金平均仓位\n7. 股票型基金平均仓位\n\n### 情绪指数公式\n\n```\n情绪指数 = 0.111×封闭式基金折价率\n         - 0.242×转股溢价率\n         + 0.489×IPO首日涨跌幅\n         + 0.437×IPO发行PE\n         + 0.207×上涨家数百分比\n         + 0.470×混合型基金仓位\n         + 0.483×股票型基金仓位\n```\n\n### 情绪变化指数\n\n反映情绪的月度变化：\n- 高情绪区域 → 继续上涨概率高\n- 低情绪区域 → 继续下跌概率高\n- 极端低情绪 → 可能反转\n\n## 择时策略\n\n### 1. 长期看区域\n\n**核心理念**：均值回归\n- 情绪低迷 → 股市被低估 → 买入\n- 情绪高涨 → 股市被高估 → 卖出\n\n**操作方法**：\n- 以1倍标准差(σ)为分界线\n- σ以上：高风险区，谨慎\n- -σ以下：安全区，大胆介入\n\n### 2. 短期看变化\n\n**核心理念**：情绪变化\n- 情绪变化指数区域2：收益率最差\n- 剔除最差月份，选择其他区域\n\n**操作方法**：\n- 观察情绪变化指数\n- 避开情绪变化不利的月份\n- 顺势操作\n\n## 实证数据\n\n### 当期收益统计\n\n**情绪指数区域**：\n| 区域 | 月均收益 | 正收益占比 |\n|------|----------|------------|\n| 高区(1) | 最高 | 最高 |\n| 次高区(2) | 较高 | 较高 |\n| 次低区(3) | 较低 | 较低 |\n| 低区(4) | 最低 | 28.57% |\n\n### 下期收益统计\n\n**情绪指数**：\n- 高区 → 继续表现好\n- 低区 → 极端时可能反转\n\n**情绪变化指数**：\n- 区域4 → 下期收益最好\n- 区域2 → 下期收益最差\n\n### 策略效果\n\n2005-2010年：\n- 长期区域策略：显著超额收益\n- 短期变化策略：显著超额收益\n- 沪深300基准：129.45%\n\n## 实践要点\n\n### 数据获取\n\n- 封闭式基金折价率：天天基金网\n- 可转债溢价率：东方财富\n- 基金仓位：基金公司公开数据\n- 上涨家数：交易所行情数据\n\n### 策略参数\n\n- 区域划分：1倍标准差\n- 再平衡周期：月度\n- 调仓：月初或月末\n\n## 注意事项\n\n1. **数据质量**：部分指标可能存在估计误差\n2. **时效性**：情绪指标受当期影响大\n3. **极端情况**：极端情绪可能预示反转\n4. **综合判断**：结合多种指标\n\n## 适用场景\n\n- 大盘择时\n- 仓位管理\n- 风险预警\n- 市场情绪监控\n","# 市场情绪择时\n\n## 基本概念\n\n市场情绪是指投资者的心理和情绪状态，反映对市场的乐观或悲观程度。\n\n### 核心观点\n\n> 心理情绪造就90%的行情：T(趋势) = G(资金) + P(心理)\n\n### A股市场特点\n\n- 个人投资者众多\n- 羊群效应显著\n- 情绪波动大\n\n## 情绪指标类型\n\n### 1. 直接调查类\n\n- 投资者信心指数\n- 投资意愿指数\n\n### 2. 折溢价率类\n\n- 封闭式基金折价率\n- 可转债转股溢价率\n- 权证的溢价率\n\n### 3. 新股指标\n\n- IPO首日涨跌幅\n- IPO发行PE\n- 新股发行数量\n\n### 4. 市场指标\n\n- 上涨家数百分比\n- 创新高\u002F低股票数\n- 涨停家数\n\n### 5. 投资者行为\n\n- 新增开户数\n- 基金仓位\n- 保证金交易\n- 资金出入\n\n## 情绪指数构建\n\n### 主成分分析法\n\n选取7个核心指标：\n1. 封闭式基金折价率\n2. 转股溢价率\n3. IPO首日涨跌幅\n4. IPO发行PE\n5. 上涨家数百分比\n6. 混合型基金平均仓位\n7. 股票型基金平均仓位\n\n### 情绪指数公式\n\n```\n情绪指数 = 0.111×封闭式基金折价率\n         - 0.242×转股溢价率\n         + 0.489×IPO首日涨跌幅\n         + 0.437×IPO发行PE\n         + 0.207×上涨家数百分比\n         + 0.470×混合型基金仓位\n         + 0.483×股票型基金仓位\n```\n\n### 情绪变化指数\n\n反映情绪的月度变化：\n- 高情绪区域 → 继续上涨概率高\n- 低情绪区域 → 继续下跌概率高\n- 极端低情绪 → 可能反转\n\n## 择时策略\n\n### 1. 长期看区域\n\n**核心理念**：均值回归\n- 情绪低迷 → 股市被低估 → 买入\n- 情绪高涨 → 股市被高估 → 卖出\n\n**操作方法**：\n- 以1倍标准差(σ)为分界线\n- σ以上：高风险区，谨慎\n- -σ以下：安全区，大胆介入\n\n### 2. 短期看变化\n\n**核心理念**：情绪变化\n- 情绪变化指数区域2：收益率最差\n- 剔除最差月份，选择其他区域\n\n**操作方法**：\n- 观察情绪变化指数\n- 避开情绪变化不利的月份\n- 顺势操作\n\n## 实证数据\n\n### 当期收益统计\n\n**情绪指数区域**：\n| 区域 | 月均收益 | 正收益占比 |\n|------|----------|------------|\n| 高区(1) | 最高 | 最高 |\n| 次高区(2) | 较高 | 较高 |\n| 次低区(3) | 较低 | 较低 |\n| 低区(4) | 最低 | 28.57% |\n\n### 下期收益统计\n\n**情绪指数**：\n- 高区 → 继续表现好\n- 低区 → 极端时可能反转\n\n**情绪变化指数**：\n- 区域4 → 下期收益最好\n- 区域2 → 下期收益最差\n\n### 策略效果\n\n2005-2010年：\n- 长期区域策略：显著超额收益\n- 短期变化策略：显著超额收益\n- 沪深300基准：129.45%\n\n## 实践要点\n\n### 数据获取\n\n- 封闭式基金折价率：天天基金网\n- 可转债溢价率：东方财富\n- 基金仓位：基金公司公开数据\n- 上涨家数：交易所行情数据\n\n### 策略参数\n\n- 区域划分：1倍标准差\n- 再平衡周期：月度\n- 调仓：月初或月末\n\n## 注意事项\n\n1. **数据质量**：部分指标可能存在估计误差\n2. **时效性**：情绪指标受当期影响大\n3. **极端情况**：极端情绪可能预示反转\n4. **综合判断**：结合多种指标\n\n## 适用场景\n\n- 大盘择时\n- 仓位管理\n- 风险预警\n- 市场情绪监控\n",{"name":5,"description":7},"main","a5ea54eb2c1aeeb7767d270769f6b499e3ae39d7","produced_skill\u002Ftiming\u002Fmarket-sentiment-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":39,"prompt":49,"zipAvailable":50},[40,43,46],{"tool":41,"command":42},"npx","npx skills add FeiCoder\u002FSkill-Factory --skill market-sentiment-timing",{"tool":44,"command":45},"bunx","bunx skills add FeiCoder\u002FSkill-Factory --skill market-sentiment-timing",{"tool":47,"command":48},"pnpm","pnpm dlx skills add FeiCoder\u002FSkill-Factory --skill 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