• Preeti Kumari
• deepak
• Vishal thakur
• Kiran
• Chandana, Sayand S

The financial markets are completely different now that AI makes stock trading more accurate and efficient. This paper examines the substantial impact of AI on trading and stock market prediction, with an emphasis on how AI may improve market dynamics and decision-making processes. This article looks at how artificial intelligence has changed throughout time in stock trading, looking at different models and machine learning algorithms used for market forecasting. The study addresses the key developments and difficulties in applying AI for stock market analysis, including technical and fundamental approaches, through a thorough examination of the literature. Additionally, the research offers data-driven insights that shed light on stakeholders' views and convictions on the use of AI in financial trading.in relation to AI's application in financial trading. use of AI in financial trading. The findings emphasize how important it is to take constant learning, teamwork, data diversification, and ethical considerations into account when using AI for stock trading. Additionally, the study offers helpful recommendations for enhancing the morality and effectiveness of AI-driven trading strategies, emphasizing risk assessment, long-term planning, assessment, customization, and continuous monitoring. Finally, the study emphasizes how AI has the potential to drastically change the dynamics of the stock market and how critical it is to use it wisely and sensibly in order to maximize benefits and reduce risks.

Financial market, decision making, artificial intelligence

"Analysis of artificial intelligence in stock trading", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 5, page no.d267-d280, May-2024, Available :http://www.jetir.org/papers/JETIR2405329.pdf

"Analysis of artificial intelligence in stock trading", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 5, page no. ppd267-d280, May-2024, Available at : http://www.jetir.org/papers/JETIR2405329.pdf