Detecting Informative Patterns in Financial Market Trends Based on Visual Analysis

摘要

This paper presents a graphical representation that fully depicts the price-time-volume dynamics in a Limit Order Book (LOB). Based on this pattern representation, a clustering technique is applied to predict market trends. The clustering technique is tested on information from the USD/COP market. Competitive trend prediction results were found, and a benchmark for future extensions was settled.