Predicting markets with machine learning is always dangerous, because unlike most types of statistics, markets do not evidently have a single representation that is slowly uncovered; "gravity can flip upside down overnight".
You are absolutely right. Our main idea was to show how RNNs could be used for time series forecasting. We have chosen public bitcoin price data because this problem is well-known for general public. There is no doubt, that such difficult problem cound be solved using only previous prices. But this article may be a good starting point to understand potential methods to approach such problems.
