THE ROLE OF DATA SCIENCE IN MODERN TRADING SYSTEMS

In recent years, data science has become a fundamental component of financial trading systems. By leveraging large datasets, advanced statistical models, and machine learning algorithms, traders and financial institutions can analyze market behavior, forecast price movements, and optimize trading strategies. This article explores the role of data science in trading, focusing on analytical techniques, predictive modeling, and algorithmic decision-making. The study highlights how data-driven approaches improve efficiency, reduce risks, and enhance profitability in financial markets.