Predictive Residential Rental Market Forecasting System

Create an advanced predictive modeling framework for residential rental markets using machine learning and statistical techniques. Develop a system that integrates multiple data sources including demographic trends, economic indicators, local job market data, and historical rental rates. Implement time series forecasting models with automated feature engineering and model selection capabilities. Generate probabilistic rental rate projections with confidence intervals and automated market opportunity alerts.