A statistical technique that simulates many possible outcomes of a trading strategy by randomly varying trade sequences or parameters. It estimates the probability distribution of returns or drawdowns under uncertainty. Algo traders use Monte Carlo to assess strategy robustness and the likelihood of extreme outcomes.

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