Predictive Portfolio Rebalancing Machine Learning Pipeline

Architect a machine learning pipeline that can dynamically predict optimal portfolio rebalancing strategies using historical market data, current economic indicators, and individual risk profiles. The system should incorporate ensemble learning techniques, handle feature engineering for complex financial datasets, and provide explainable AI recommendations with confidence intervals. Implement a backtesting framework that can simulate strategy performance across multiple market conditions.