Role of Artificial Intelligence in Financial Trading

As technology develops, artificial intelligence (AI) techniques are being applied increasingly in the financial markets. A Systematic Literature Review (SLR) is performed using AI tools to examine financial trading approaches in this research work. Exploratory research is a preliminary investigation conducted to clarify concepts, gather insights, and identify patterns or relationships in a relatively uncharted area. When examining the role of Artificial Intelligence (AI) in financial trading, exploratory research helps in understanding the multifaceted impacts, challenges, and opportunities presented by AI technologies. AI techniques such as machine learning and deep learning have demonstrated their efficacy in forecasting price movements and optimizing trading strategies, offering significant advantages over traditional methods. Despite these advancements, challenges such as data quality, ethical considerations, and the need for real-time analysis persist. The literature highlights a gap in research, especially concerning developing markets and the incorporation of advanced AI models across various financial contexts. Future research should focus on these areas to harness AI's full potential in improving financial forecasting and trading strategies