How does AI detect anomalies in real-time stock market algorithms to prevent manipulative activities?
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How does AI detect anomalies in real-time stock market algorithms to prevent manipulative activities?
AI detect anomalies in real-time stock market algorithms by utilizing machine learning algorithms to analyze large volumes of data and identify patterns that deviate from normal behavior. This can involve comparing current market data to historical trends, looking for unusual spikes or drops in trading activity, monitoring for unexpected correlations between different assets, or detecting abnormal trading patterns that may indicate manipulation. By continuously monitoring the stock market data in real-time, AI can alert traders and regulators to potential anomalies, helping to prevent manipulative activities before they have a significant impact.