Can ordinary backpropagation networks be used for time series data, if temporally successive data values are entered into successive network input neurons?

Question: If one is going to use a neural network for future stock market price prediction, where you have a time series of stock price values, can an ordinary backpropagation network be used for this purpose?

I am think of taking the stock price every 15 minutes, over a period of say 3 days (so that there will be 3 x 24 x 4 = 288 price values), and then entering these values (in normalised form) into a backpropagation network …

backpropagation data future network networks neural network neuralnetworks neurons ordinary prediction price series stock stock price time series values