Building upon previous work in the field of behavioral finance and artificial stock markets, a model incorporating discrete and continuous interrelations is developed. Three different investor types are modeled as individual agents: fundamental analysts, technical analysts and noise traders. They differ in their intrinsic pricing mechanism and represent trading strategies that are observed in financial markets. The developed structure is able to reproduce the formation of speculative bubbles and other stochastical anomalies that are characteristic for financial time series.