Thank you for purchasing an indicator or bundle from Kenzing®. This brief introduction contains instructions on how the indicator functions and how to adjust the input values that allow you to personalise the indicator according to your trading strategy. Information on how to access the indicator after purchase is not included in this document and can be found in the Read Me FAQ document.
Understanding the Monte Carlo Simulation
This indicator uses Monte Carlo methods to predict the future price of a security using 200 random walks.
Monte Carlo methods rely on repeated random sampling to create a data set that has the same characteristics as the sample source, representing examples of alternate possible outcomes. The data set created using random sampling is called a “random walk”. Obtaining a mean from 200 random walks allows us to benchmark the performance of the source against the random walks obtained from the source.
Visual representation of 200 random walks against XRP/USD (1/2/2017-20/7/2018)