Hi all,
Here is my solution.
In this time, I have referred to the material shared by @tark .
I also compared the ARIMA and SARIMA methods and tried the way of converting prices once into logarithms before forecasting.
As a result, SARIMA appears to give more plausible results than ARIMA.
I have also tried Auto-ARIMA component, SARIMA Learner component, and SARIMA Predictor component, which can be downloaded as Examples from the KNIME hub, however they had a bug in the internal python Script nodes, so I have edited them myself with reference to this thread.
Some screenshot of the results are attached as my solution takes a very long time to run all the nodes.
To be honest, due to my limited knowledge of time series prediction, I could not come to a conclusion on which method is the most appropriate, but I hope it will help you!
