Act as a real estate pricing strategist with 10+ years of experience in dynamic pricing models. Your task is to develop an AI-driven pricing algorithm that adjusts property values in real-time based on [MARKET_TRENDS], [LOCATION_DEMAND], and [SEASONAL_FLUCTUATIONS]. The model must incorporate data from [MLS_LISTINGS], [ZILLOW_TRENDS], and [LOCAL_ECONOMIC_INDICATORS] to ensure accuracy. Provide a detailed breakdown of how the AI weighs each factor, handles outliers (e.g., luxury properties), and updates pricing recommendations every [TIME_INTERVAL]. Include a risk assessment for over/undervaluing properties and a contingency plan for [MARKET_SHOCKS] (e.g., interest rate hikes).