Help with Time Series Data Windowing Based on Target Columns in KNIME

Hi everyone,

I am working with a time series dataset in KNIME that includes stock prices and various indicators (indicator1, indicator2, etc.). Each row in my dataset represents a different indicator and one time step (see screen shot below).

I want to perform windowing on this data, where multiple time steps are consolidated into a single row based on selected target columns. Specifically, I need to:

1. Control the window size.

2. Perform the windowing in reverse order.

Below is an example of how I would like the data table to look after windowing:

I am not sure how to approach this in KNIME. Can anyone guide me on how to achieve this?

Thank you in advance for your help!