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Machine Learning in Trading
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Category – Machine Learning in Trading

Machine learning in trading refers to the use of algorithms and statistical models that enable computers to learn from data and make predictions or decisions without explicit programming. In trading, machine learning is used to analyze market data, identify patterns, and develop predictive models for asset pricing, risk management, and trade execution. Traders use machine learning for algorithmic trading, portfolio optimization, and sentiment analysis, aiming to automate strategies and improve accuracy in decision-making.