Hi, Please bear in mind that when building a good forecast model the aim is not to find a model that fit all the existing data points. The aim is to find a model that is able to provide as accurate forecasts as possible given the exisitng conditions. For instance, if data is very noisy/erratic/stochastic etc. forecast accuracy will be lower than if the has nice stable patterns. Having said that you can work with multiple seasonal cycles in FS by building your own model. For instance an ARIMA model with differences of (7,28) can be used to work with data where there are seasonal patterns each 7 and 28 days (assuming you have obs for all 7 days a week). Thanks, Snurre
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