Can a machine learning model predict cryptocurrency prices?

Could a machine learning model potentially forecast the volatile prices of cryptocurrencies with any degree of accuracy? Given the complex nature of market forces and the unpredictable behavior of investors, how would such a model be designed to capture the nuances of the cryptocurrency market? Would it rely on historical data, news sentiment, or some other form of input? Furthermore, how would the model handle the ever-changing landscape of regulations, technological advancements, and new market entrants that constantly reshape the cryptocurrency ecosystem? Lastly, is there any precedent for successful applications of machine learning in predicting financial asset prices, especially in such a volatile and rapidly evolving field as cryptocurrencies?