Monte Carlo Protocol Stress Testing

Simulation

This involves running a large number of trials where market variables, such as asset price paths and volatility, are randomly sampled according to predefined stochastic processes. The objective is to map the distribution of potential outcomes for a derivative position or protocol state. High iteration counts are necessary for statistical significance.