Financial Trading Signal Aggregation and Execution Bot

Develop a sophisticated Python trading automation framework that aggregates signals from multiple cryptocurrency and stock market data sources, applies advanced statistical arbitrage algorithms, and executes trades with built-in risk management. The system must include real-time machine learning model retraining, dynamic position sizing, cross-exchange liquidity optimization, and automatic circuit breaker mechanisms to prevent catastrophic losses. Implement comprehensive logging, performance tracking, and generate detailed trade journals with statistical analysis.