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Artificial Intelligence in Stock Trading: Enhancing Decision-Making and Predictive Analytics

Dr. Sabale Sachin Uttareshwar

S G R G Shinde Mahavidyalaya Paranda Dist- Dharashiv 413502

Email – sabalesachin2@gmail.com

Abstract:

This paper explores the transformative role of Artificial Intelligence (AI) in stock trading, focusing on its consequence on decision-making and predictive analytics. By leveraging advanced machine learning algorithms, natural language processing, and real-time data analysis, AI tools have revolutionized and enhanced traditional trading strategies for stock selection. The study highlights how AI enhances decision-making through perfect market forecasts, sentiment analysis, and portfolio optimization while understanding challenges like data quality and ethical concerns. Case studies of AI-driven platforms and hedge funds demonstrate its effectiveness in improving trading efficiency and profitability. The paper concludes by discussing the future implications of AI in shaping the stock market structure regarding with trading and Investment.

Key Words - High-Frequency Trading, Artificial Intelligence (AI), Decision-Making, Predictive Analytics