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Abstract: Implementing Artificial Intelligence (AI) in stock trading systems has transformed trading by enhancing decisionmaking processes through the analysis of vast amounts of historical and real-time market data. AI algorithms, utilizing techniques such as machine learning and deep learning, identify patterns and trends that are often undetectable by human traders, leading to more accurate predictions of future price movements. This technological advancement enables highfrequency trading (HFT) and the execution of trades with unprecedented speed and precision, reducing emotional biases and enhancing risk management. The integration of AI in trading systems optimizes returns, increases efficiency, and provides a competitive edge in the dynamic financial markets.
P. Prabhakaran (Thu,) studied this question.
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