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ML for Trading provides a structured workflow and integrated learning system for building systematic trading strategies, covering everything from hypothesis formulation to production deployment. The platform includes 27 chapters, 9 case studies, 6 Python libraries, and an AI-powered research environment for developing and deploying machine learning models in finance.
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