Using an evolutionary agent-based simulation to explore hedging pressure in futures markets

We have developed a real world application that models a financial futures market. The agent-based simulation includes speculator agents each of which uses a Genetic Algorithm (GA) to improve its profitability in the market. This is a realistic simulation whose rates-of-return distribution is similar to those of real futures markets such as corn.