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Stress-test crypto portfolios by simulating extreme scenarios: black swan events (market crashes), regulatory bans, or liquidity crunches. Use historical data (e.g., 2022 bear market) and Monte Carlo simulations to model price swings. Key metrics: maximum drawdown, portfolio volatility under stress, and recovery speed. Adjust allocations to reduce exposure to highly correlated assets, enhancing resilience.
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