Published Paper Details:

In the dynamic and complex domain of financial markets, investment decision-making requires rapid analysis, accurate predictions, and efficient risk management. This research explores how Artificial Intelligence (AI) can be effectively leveraged to optimize investment strategies. By integrating machine learning algorithms, natural language processing, and predictive analytics, AI systems can analyze vast datasets, identify market patterns, and support data-driven decision-making. The paper examines real-world applications of AI in portfolio management, algorithmic trading, and sentiment analysis. It also highlights the benefits, limitations, and ethical considerations associated with AI-driven investment tools. The study concludes that AI, when properly implemented, can enhance decision accuracy, reduce human biases, and deliver substantial returns, thereby transforming the investment landscape for both individual and institutional investors.