“The Monte Carlo method is a stochastic (random sampling of inputs) method to solve a statistical problem, and a simulation is a virtual representation of a problem. The Monte Carlo simulation combines the two to give us a powerful tool that allows us to obtain a distribution (array) of results for any statistical problem with numerous inputs sampled over and over again..” Source:
Monte Carlo Simulation is used to evaluate uncertainty or risk in real-life decision making where data is used to develop probability distributions to calibrate this uncertainty. Monte Carlo is very well known to be a model to take finance and investment decisions in both long and short term time horizons.
In this template, based on 1 year history you can simulate the future in order to understand all the possible scenarios.
The example is already filled with Tesla stock Price prediction, as example
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