Act as a senior financial analyst with 10+ years of experience in predictive modeling and risk assessment. Your task is to develop a predictive analytics framework to identify early warning signs of financial market crashes. Use historical data from [STOCK MARKET INDEX], macroeconomic indicators like [UNEMPLOYMENT RATE] and [INTEREST RATES], and sentiment analysis from [NEWS SOURCES/SOCIAL MEDIA]. The model should quantify crash probability, highlight key risk factors, and provide actionable insights for portfolio managers. Ensure the framework is adaptable to different [TIME HORIZONS] (e.g., short-term vs. long-term) and includes stress-testing scenarios. Deliver a detailed report with visualizations, confidence intervals, and mitigation strategies.