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AI Chatbots and Market Dynamics: Analyzing the Impact of AI on the Indian Stock Market
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Author(s): Swagatam Saha (Christ University, Bangalore, India)and Babita Chaudhary (Christ University, Bangalore, India)
Copyright: 2025
Pages: 50
Source title:
Behavioral Finance and AI Tools for Sustainability
Source Author(s)/Editor(s): Fouad Daidai (University Chouaib Doukkali, Morocco), Mimoun Benali (Sidi Mohamed Ben Abdellah University, Morocco)and Larbi Tamnine (Sidi Mohamed Ben Abdellah University, Morocco)
DOI: 10.4018/979-8-3693-9684-1.ch007
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Abstract
This study examines the potential of ChatGPT v4.0 for stock market analysis, particularly within the Indian stock market. The research uses prompt engineering to assess ChatGPT's ability to recommend stocks, construct portfolios, provide fundamental analysis, and understand price movements. The study combines sentiment analysis of news data with historical price data to forecast future price movements. Results demonstrate ChatGPT's effectiveness in identifying investment opportunities and providing insights for decision-making. The study also evaluates the accuracy of ChatGPT's predictions, finding an 88.89% accuracy rate based on news sentiment analysis and a 94% accuracy rate when integrating sentiment analysis with historical price data. Despite limitations, including constraints in handling large datasets, ChatGPT exhibits promise for supporting investors in the Indian stock market. Future research should focus on refining models and addressing ethical considerations to ensure responsible AI integration in finance.
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