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Balancing Complexity in Machine Learning Strategies
This chapter explores the author's methodology for integrating machine learning into strategy development while maintaining a balance between simplicity and complexity. It addresses the challenges of model deployment, the iterative nature of refining strategies, and the critical role of trade expectancy and costs in optimizing trading outcomes.