Automated Market Trend Analysis Pipeline with Predictive Modeling

Design a comprehensive Python script using pandas and scikit-learn that ingests multi-source financial data (stock prices, economic indicators, social media sentiment) and generates a predictive trend analysis report. The script should include automated data cleaning, feature engineering, machine learning model selection, and a configurable dashboard that outputs potential market movements with 80% confidence intervals. Include error handling for data inconsistencies and a modular architecture allowing easy integration with different data sources.