I am doing a university project on index/stock price prediction. I plan to use a combined cnn-lstm model, and I have several different types of data: Open High Low Close Volume, values, fundamental data such as unemployment and various rates, technical indicators like RSI, MACD and others, and moving averages like SMA, EMA, WMA and etc. What is the best way to prepare data for the network?