A model was created to simulate how asset prices are influenced by traders in a market. This model combines different signals, trader actions, and randomness to mimic real market behavior. By using a neuroscience-inspired approach, the model can predict asset price movements with a non-linear pattern. It can also help determine the best investment strategy based on market signals and rationality. This model is easy to use and can be implemented using common software tools.