Algorithmic trading is a method of executing a large order using automated pre-programmed trading instructions accounting for variables such as time, price, and volume. This approach can minimize cost, reduce human error, and allow high-frequency strategies that can process trades in fractions of a second.
This research delves into the growing influence of artificial intelligence (AI) and machine learning (ML) on financial markets. Through a mixed-methods approach, it examines AI's applications in trading, risk management, and financial operations, highlighting adoption trends, challenges, and ethical considerations.
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