The Indian equity market is currently undergoing a structural transformation operated by Artificial Intelligence (AI). This paper examines how AI, ranging from Machine Learning (ML) models to Generative AI, has changed market analysis in India. While traditional technical and fundamental analyses remain still relevant, AI-driven tools now process large datasets—including social media sentiment, global macroeconomic shifts, and real-time news—to provide predictive insights. The study shows the shift from human-led intuition to algorithmic precision, the rise of agentic AI in retail trading, and the regulatory challenges posed by SEBI and the RBI. Findings suggest that while AI significantly enhances market efficiency and data accessibility for retail investors, it also introduces systemic risks, such as "flash crashes" and algorithmic bias, which require robust oversight.
Sanket Dattatray Gandhi (Mon,) studied this question.
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