Machine Learning Feature Engineering from Financial APIs

Create a comprehensive Python framework that automatically extracts and transforms financial features from multiple data sources using machine learning techniques. Develop an extensible system that can connect to APIs like Alpha Vantage, Bloomberg, and custom financial data providers. Implement automated feature selection using techniques like mutual information and recursive feature elimination. The system should generate normalized, ML-ready datasets with built-in cross-validation splits.