Predicting Bitcoin price with LSTM (and other RNNs)
I'm not particularly expert in this but I'm quite sure that the variations in the price of anything depend mostly on external factors: news of the day, economic indicators, stockmarket movements, etc.
As a rule of thumb, if a human with a lot of time can't do it, usually a ML model can't do it either. In this case if an expert in finance is given the history of the price but no access to any other information I doubt they can predict anything other than a conservative guess that the price will stay the same.
I don't see how the model can do anything better than this without some good indicators as features, and probably it would need a large number of complex indicators. For example I would assume that news like these affect the Bitcoin price, but gathering this kind of information and integrating it into a model certainly requires a lot of work.