Is a deep feed-forward neural network useful in bitcoin price time series forecasting?
Inquiring minds often seek to understand the complexities of financial markets, particularly in the realm of cryptocurrencies. With Bitcoin's volatile nature, one question that arises is: Is a deep feed-forward neural network truly useful in forecasting Bitcoin price time series? Such a network, with its ability to learn and recognize patterns in vast amounts of data, seems promising in theory. However, does it truly possess the predictive power needed to accurately forecast Bitcoin's price movements? This question begs for an in-depth exploration of the network's capabilities, as well as a consideration of the unique challenges presented by the cryptocurrency market.