Analyzing Trade Clustering To Predict Price Movement In Bitcoin Trading

Financial markets, like many interactions in the world, are often self-exciting. Said differently, events within a dataset can actually serve as the impetus for more of the same events to a calculable extent. Statistical models to analyze self-excitability are used to understand both the independence and causal dependence of observations in such fields as seismology (study of earthquakes), criminology (study of crime) and more recently by algorithmic traders to understand financial markets. With the bitcoin markets having grown enough to offer ample data, self-excitability and its implication on bitcoin prices can now be observed as well. Excitability in Bitcoin Trading …