Automated Risk Assessment Pipeline for Trading Portfolios

Design a comprehensive workflow automation system that integrates real-time market data, historical trading patterns, and machine learning risk models to dynamically assess and score investment portfolio risk. The system should automatically generate hourly risk reports, trigger alert mechanisms for potential high-risk scenarios, and create visualized risk dashboards with probabilistic threat modeling. Include error handling for data inconsistencies and support for multiple asset classes including equities, derivatives, and cryptocurrency.