AI Investment Decision: Role of AI in the Indian Stock Market

The integration of artificial intelligence (AI) into the process of making investment decisions has changed the global financial markets, including the Indian stock market. This paper reviews the existing literature on how AI is being applied to improve risk management, investing methods, and market forecasts in the Indian stock market. AI allows investors to analyze vast volumes of unstructured data, spot trends, and make more accurate and efficient data-driven decisions by utilizing big data analytics, natural language processing, and sophisticated machine learning algorithms. The paper reviews significant applications of AI, including algorithmic trading, sentiment analysis of news and social media, fraud detection, and portfolio optimization. It also highlights the challenges and ethical concerns related to AI use, such as algorithmic biases, data privacy, and regulatory compliance. This shows that AI has the potential to greatly aid in the creation of a more efficient and inclusive stock market environment in India, as well as the democratization of access to sophisticated financial tools.

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Publication Details

Published
2025-05-18
DOI
https://doi.org/10.63169/gcared2025.p10
Primary Topic
Stock Market Forecasting Methods
Type
article
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article

AI Investment Decision: Role of AI in the Indian Stock Market

Pragya Saraswat, Puneet Garg, Z.A. Siddiqui
Stock Market Forecasting Methods
article

AI Investment Decision: Role of AI in the Indian Stock Market

Pragya Saraswat, Puneet Garg, Z.A. Siddiqui
article en

Abstract

The integration of artificial intelligence (AI) into the process of making investment decisions has changed the global financial markets, including the Indian stock market. This paper reviews the existing literature on how AI is being applied to improve risk management, investing methods, and market forecasts in the Indian stock market. AI allows investors to analyze vast volumes of unstructured data, spot trends, and make more accurate and efficient data-driven decisions by utilizing big data analytics, natural language processing, and sophisticated machine learning algorithms. The paper reviews significant applications of AI, including algorithmic trading, sentiment analysis of news and social media, fraud detection, and portfolio optimization. It also highlights the challenges and ethical concerns related to AI use, such as algorithmic biases, data privacy, and regulatory compliance. This shows that AI has the potential to greatly aid in the creation of a more efficient and inclusive stock market environment in India, as well as the democratization of access to sophisticated financial tools.

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