Monte Carlo Simulation is a computational algorithm that utilizes repeated random sampling to obtain numerical results. It is used in finance to model scenarios that involve uncertainty and predict the impact of risk. The simulation for stocks and cryptocurrencies involves historical data analysis, random sample generation, price simulation, and result analysis. The accuracy of the simulation depends on the assumptions made about return distributions and volatility.
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