machine learning in algorithmic trading

Machine learning in algorithmic trading refers to the use of artificial intelligence techniques to analyze historical market data and make informed predictions about future market behavior. By training algorithms on vast amounts of data, it allows for the development of trading strategies that adapt to changing market conditions and aim to maximize profits.

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