[D] Is my timeseries too random to be predicted?

Hi, I have a timeseries where I wish to predict the next values. The input data is multivariate and target is univariate for now.

My first strategy is of course to just flatten the input and run it through a single layer neural network (linear regression). I then tried adding more layers, using different activation functions, dropout, batch normalization etc, however nothing improves on the initial result. Looking at individual examples of predictions all the models so far basically just …

course data flatten layer linear linear regression machinelearning multivariate network neural network next of course random regression strategy through timeseries values