This research study aims to examine the behavior patterns of individuals when investing in mutual funds. The study investigates factors influencing investor decision-making, including risk tolerance, investment horizon, past performance evaluation, and fund characteristics. Through a comprehensive analysis of existing literature, the research identifies common behavioral biases, such as herding behavior, loss aversion, and overconfidence, that can impact investment decisions in mutual funds. The study also explores the role of demographic factors, investor knowledge, and investment experience in shaping investor behavior. By gaining insights into these behavior patterns, the research aims to contribute to a better understanding of investor decision-making in the context of mutual fund investments, with the ultimate goal of providing guidance for investors, financial advisors, and fund managers to make informed decisions and enhance investment outcomes. The aim of this research is to examine the behavior and investment patterns of investors when investing in mutual funds. Mutual funds have become increasingly popular investment vehicles, attracting a diverse range of investors with varying investment goals, risk appetites, and decision-making processes. Understanding the behavior and investment patterns of investors is crucial for fund managers, financial advisors, and policymakers to design effective strategies and policies that align with investors' needs and objectives. This research employs a mixed-methods approach, combining quantitative analysis and qualitative interviews, to gain a comprehensive understanding of investor behavior in the mutual fund industry. The quantitative analysis involves analyzing a large dataset of investor transactions, fund characteristics, and market conditions. Key variables such as investor demographics, investment horizon, risk tolerance, fund performance, and expense ratios will be considered to identify patterns and trends in investor behavior.