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We propose a new dynamic modeling framework for credit history chance evaluation that extends the prevailing credit scoring models designed upon historic facts static settings. The driving thought mimics the theory of films, by composing the model by using a sequence of snapshots, as opposed to one photograph. In doing so, the dynamic modeling is m