How we do it
All of CPattern’s services rely on data analysis and back testing. Our behavioral analysts used historical records of trading data to understand how traders trade and seek a holistic understanding of patterns (e.g., churn patterns, conversion patterns). These insights were then transformed to models and these models were translated into alerts that are streamed automatically to the broker’s back office:
This methodology helped us produce a unique set of solutions which have been refined over the years to yield unmatched results.
Our aim is to model the complexity of different behaviors within the context of the market for each individual trader and for groups of traders as opposed to focus on singular trading events. Back-testing was used to make sure the logics are valid and have a clear business value.
CPattern’s models could be calibrated and customized for each broker based on his unique characteristics and needs.