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Simulate 100,000 parallel 30-day paths. Each day, draw a random withdrawal rate from a normal distribution, with a small probability of a stress 'run' day where withdrawals spike 8x. Track cash + HQLA against outflows every day, across all simulations at once using NumPy arrays (never a per-simulation Python loop).

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