How to apply tensorflow/Keras to a time series data (stock market) where the target is dependent on multiple assets (stocks) and the predict the entire days stock movement consisting of day long minute level data

TensorFlow
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1

I have a three - five year minute level financial data for a defined set of stocks. The model needs to predict a days worth of stock movement at minute level (approximately 500 values every day).
Each stock behaves differently , but the target is a weighted sum of all stocks.

Can I get recommendations on where i can read material for the above application to get started for using a GRU and LSTM type models?

thanks