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The algorithmic trading market is experiencing a notable shift towards more adaptive and predictive models, driven by the integration of AI and ML into trading strategies. This evolution aims to enhance trading performance and efficiency, reduce manual errors, and improve risk management practices. Automation allows for quick decision-making and processing of vast amounts of data in real time. However, there is a vulnerability to technological glitches and system failures that must be addressed.