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We propose a new dynamic modeling framework for credit rating danger evaluation that extends the prevailing credit scoring styles constructed on historic data static options. The driving notion mimics the principle of movies, by composing the model with a sequence of snapshots, as opposed to one photograph. In doing so, the dynamic modeling is made