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Predicting Future Values In A Multivariate Time Forecasting Lstm Model

I am confused on how to predict future results with a time series multivariate LSTM model. I am trying to build a model for a stock market prediction and I have the following data

Solution 1:

The solution I decided to go with here is a TimeseriesGenerator from the keras library.

https://machinelearningmastery.com/how-to-use-the-timeseriesgenerator-for-time-series-forecasting-in-keras/

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