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Hi! Current framework concept allows working with multivariate data. You can train and forecast for all channels (e.g. prices), then extract required channel. But if you need bitcoin
channel in output you also need to provide it in the input.
P.S. About your idea: you can use one of the base models, but you will need to create a new framework. I think you can combine the feature channels and noise as input and then remove the noise using the model with one output channel.
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