PROTECTED SOURCE SCRIPT
PpSignal Random Walk Monte Carlo Method

Random Walk Utility
The random walk generator allows users of the Monte Carlo to further understand how the Monte Carlo projection is generated by creating a visual representation of individual random walks. Trends that occur on the random walks may correlate to the historical price action of the underlying security.
Understanding the Random Walk Simulation
This indicator randomly generates alternative price outcomes derived from the price movements of the underlying security. 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 outcomes. The data set created using random sampling is called a “random walk”.
First, every bar in the time stamp is measured logarithmically and put into a population.
Then, a sample is drawn at random from the population and is used to determine the next price movement of the random walk. This process is repeated fifteen times to visualize whether the alternative outcomes lie above or beneath the current market price of the security.
The random walk generator allows users of the Monte Carlo to further understand how the Monte Carlo projection is generated by creating a visual representation of individual random walks. Trends that occur on the random walks may correlate to the historical price action of the underlying security.
Understanding the Random Walk Simulation
This indicator randomly generates alternative price outcomes derived from the price movements of the underlying security. 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 outcomes. The data set created using random sampling is called a “random walk”.
First, every bar in the time stamp is measured logarithmically and put into a population.
Then, a sample is drawn at random from the population and is used to determine the next price movement of the random walk. This process is repeated fifteen times to visualize whether the alternative outcomes lie above or beneath the current market price of the security.
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受保护脚本
此脚本以闭源形式发布。 但是,您可以自由使用它,没有任何限制 — 在此处了解更多信息。
免责声明
这些信息和出版物并不意味着也不构成TradingView提供或认可的金融、投资、交易或其它类型的建议或背书。请在使用条款阅读更多信息。