Dynamic Options Pricing and Volatility Modeling Framework

Develop a sophisticated Python library for complex options pricing that implements multiple advanced mathematical models (Black-Scholes, Binomial, Monte Carlo). Create a flexible framework that can handle exotic options, integrate real-time market volatility data, and provide comprehensive sensitivity analysis (Greeks). Include robust error handling, performance optimization, and the ability to simulate complex market scenarios with configurable parameters.