Futures margin modeling system having seasonality detection

A physical container (e.g., a battery) may be filled up (charged) or emptied (discharged) with energy commensurate with requirements to post a particular amount of collateral. The disclosure provides computing systems and methods for processing data using a novel combination of wavelet techniques and rolling techniques to more efficiently detect seasonality in particular products (e.g., energy products) to more accurately model and determine collateral/margin requirements. A clearinghouse computing device may be configured to generate a margin requirement for a portfolio of products and may include a processor to process instructions that cause the clearinghouse computing device to perform wavelet decomposition and rolling methods on a historical database of records.