Identifying similarity and anomalies for cryptocurrency moments and distribution extremities

12 Dec 2019Nick JamesMax MenziesJennifer Chan

We propose two new methods for identifying similarity and anomalies among collections of time series, and apply these methods to analyse cryptocurrencies. First, we analyse change points with respect to various distribution moments, considering these points as signals of erratic behaviour and potential risk... (read more)

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