析衡量化

This skill should be used when the user has multiple correlated quantitative alpha / risk factors (or any numeric feature columns) and needs to orthogonalize them — i.e. produce a new set of factors that are linearly independent and have zero mutual correlation, suitable for multi-factor stock-selection models, risk factor models, or dimension-reduction in alpha research. Triggers: 因子正交化、因子去相关、正交因子、多因子模型去共线性、因子载荷矩阵、orthogonalize alpha factors、factor decorrelation、PCA factors、Gram-Schmidt factors、Cholesky factor transformation、multi-factor model 共线性处理, etc.

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