The article discusses a field called Econophysics, which combines ideas from Physics, Mathematics, Economics, and Finance. It focuses on studying real-world economic phenomena using scientific methods. Researchers have explored various aspects such as wealth distributions, financial market behaviors, and models of wealth distribution. They look at how the time factor influences financial data patterns like fat-tails and volatility clustering. The study also delves into the statistical properties observed in financial markets, including order books and asset correlations. Through agent-based modeling, researchers have developed models to understand market dynamics and wealth distribution. They highlight how different factors like game theory impact economic systems. Overall, the research reveals new insights into the interactions between different disciplines in understanding economic behaviors.