When analyzing financial time-series for predictability, the norm has been to find trends and patterns directly in the series despite the inherent dynamical system apparent at the individual agent level. This underlying buy and sell model provides more information than the time-series alone. We provide a methodology for finding pockets of predictability in a financial time-series using a multi-agent market model and an empirical study to illustrate convergence of these methods.