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已更新 Lognormal Bollinger Bands
The standard Bolling Bands assumes a normal distribution. However, a normal distribution is an incorrect model for stock prices. This is because stock prices cannot fall below zero. If we assume that the percentage return follows a normal distribution, then a lognormal distribution is a more accurate model.
This is why I've transformed the standard deviation using the log function. It's much more useful for stock prices that have a low value and high volatility.
This is why I've transformed the standard deviation using the log function. It's much more useful for stock prices that have a low value and high volatility.
版本注释
The standard Bolling Bands assumes a normal distribution. However, a normal distribution is an incorrect model for stock prices. This is because stock prices cannot fall below zero. If we assume that the percentage return follows a normal distribution, then a lognormal distribution is a more accurate model. This is why I've transformed the standard deviation using the log function. It's much more useful for stock prices that have a low value and high volatility .
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只有经作者批准的用户才能访问此脚本。您需要申请并获得使用权限。该权限通常在付款后授予。如需了解更多详情，请按照以下作者的说明操作，或直接联系christsocom。
除非您完全信任其作者并了解脚本的工作原理，否則TradingView不建议您付费或使用脚本。您还可以在我们的社区脚本中找到免费的开源替代方案。
作者的说明
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。