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ETH — Price Slice. Capital Sector. 2063.34

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ETH — Price Slice. Capital Sector. 2063.34

Monte Carlo simulation of motion and the description of fluctuations through Brownian motion.

Monte Carlo simulation of motion and the description of fluctuations through Brownian motion are considered in the context of generating multiple possible price trajectories and evaluating their distribution. Brownian motion defines a stochastic model, while the Monte Carlo method provides a way to numerically simulate it and assess the probabilistic characteristics of price behavior.

In simple terms, using the Monte Carlo method, we observe a model that shows the direction in which probability tends to “pull” the price. Fluctuations on a given timeframe (for example, 6 hours in the screenshot) demonstrate confirmation of a price zone through the logic of touches formed by random movements.

Robert Brown (1773–1858) was a Scottish botanist who, while examining plant pollen in water under a microscope, discovered the chaotic and irregular motion of particles.
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