Abstract. Financial markets produce massive amounts of complex data from multiple agents, and analyzing these data is important for building an understanding of markets, their formation, and the influence of different trading strategies. We utilize a signal processing approach to deal with these complexities by applying background subtraction methods to high frequency financial data to extract...