Creates agent-based financial market simulation models for price forecasting of stocks, ETFs or other securities. A population of trading strategies compete on a virtual market that runs parallel to a real world market. Strategies evolve by genetic programming and market pricing dynamics, driving the population to recognize and anticipate recurring price patterns. The collective behavior of the virtual market is used to generate trading signals.