The article explores how different strategies of agents in a simple asset-pricing model affect price dynamics. By simulating various behaviors like predicting future returns, imitating successful strategies, and random trading, the study shows that the resulting price movements resemble those seen in real markets, including volatility clustering. The research suggests that agents' behaviors play a significant role in shaping market outcomes.