We propose an intuitive toy model of a financial market where investors are represented by hungry sharks. Each shark learns the best strategy through a trial and error procedure calibrated to human characteristics. The mix of rewards for eating or not can create a large array of scenarios that can be used to observe the emergence of equilibrium from simple to more realistic situations. Using an agent-based model we create an environment where sharks