Bot detection algorithms are used to identify automated trading systems, or bots, that operate on cryptocurrency exchanges. These algorithms analyze trading patterns and behaviors to distinguish between human traders and bots.Bots often engage in rapid transactions, exhibit consistent buying or selling patterns, and can manipulate market prices through large orders. By recognizing these behaviors, bot detection algorithms can flag potentially harmful activities, helping to maintain market integrity.The algorithms utilize various techniques, including statistical analysis, machine learning, and pattern recognition. They assess parameters such as trade frequency, order size, and timing to detect anomalies that indicate bot actions.Exchanges may implement these algorithms to reduce the influence of manipulative trading practices, protecting retail investors and ensuring a fair trading environment. These systems are essential for improving the overall health and reliability of trading platforms by mitigating risks associated with automated trading activities.