ZA_data

Manifest valid

Data stage — data discovery and quality assessment for asset pricing and machine learning research. Ships one skill.

hasBundlePatch

Z Research · Data Stage

数据处理：数据发现与质量评估。资产定价 + 机器学习/深度学习研究工作流的一部分。

安装

dsh plugin --profile <你的profile> add zresearch-data

或从 npm：

npm install zresearch-data

用法

安装后，在 DSH 会话中按需触发（模型会根据任务自动加载对应 skill）：

文献综述：问「帮我做文献综述 / 找相关论文」
数据处理：问「帮我找数据 / 评估数据集」
模型训练：问「跑回归 / 训练 ML 模型 / 横截面收益预测」
写报告：问「写论文 / 起草章节」
做 PPT：问「做演讲 PPT / Beamer / job market talk」

skill 结构

skills/zresearch-data/
├── SKILL.md              # 主 skill 定义
└── references/           # 角色定义 + 领域校准
    ├── agents/           # worker/critic 角色
    └── domain/           # domain-profile(资产定价+ML/DL)

领域

面向实证资产定价 + ML/DL：因子模型、横截面收益预测、GMM/SDF、预测回归、机器学习、深度学习。领域校准见 references/domain/domain-profile.md。

License

MIT

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