In recent years, the proliferation of automated trading strategies has underscored the significance of anchoring effects in financial markets. Despite efforts to tailor these strategies to user preferences, anchoring effects persist, influencing decision-making among traders. This phenomenon, observed by Tversky and Kahneman, affects buyers and sellers differently, leading to market distortions. Additionally, the presence of market manipulators further complicates market dynamics, exacerbating wealth distribution imbalances. To better understand these dynamics, we employ agent-based modeling, allowing for the exploration of interactions among different agents in the market. Through simulations, the study aims to shed light on the impact of anchoring effects and market manipulation on wealth distribution, offering valuable insights for financial regulators. This study aims to address these challenges by constructing an agent-based asset market incorporating anchored traders and market manipulators. Inspired by previous research, the study aims to understand how different scenarios and manipulative practices influence market efficiency and wealth distribution using agent-based modeling.
