The Role of Artificial Intelligence in Enhancing Financial Decision-Making: A Modern Approach

This research investigates into how artificial intelligence (AI) can enhance financial decision-making by using predictive analytics, with a particular focus on the Tehran Stock Exchange (TSE). By combining insights from social media sentiment analysis and sophisticated machine learning methods like Long Short-Term Memory (LSTM) networks, the study aims to boost the accuracy of stock price forecasts. The methodology involves gathering data from the TSE and sentiment sources, then carefully preprocessing this information, selecting key features, and training and evaluating the models. The results reveal that AI-driven approaches significantly surpass traditional forecasting techniques, offering stakeholders valuable insights and actionable recommendations. These findings underscore AI's potential to reshape investment strategies in emerging markets, helping investors make informed and profitable choices. This research not only enhances the theoretical understanding of AI in finance but also addresses practical concerns for investors and regulators in Iran. Ultimately, the study positions AI as an essential tool for improving forecasting accuracy and refining financial decision-making.

کلیدواژه ها:

Artificial Intelligence ، Enhancing ، Financial ، Modern Approach ، Decision-Making