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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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TradingView不建议您付费购买或使用任何脚本，除非您完全信任其作者并了解其工作原理。您也可以在我们的社区脚本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非旨在提供，也不构成TradingView提供或认可的任何形式的财务、投资、交易或其他类型的建议或推荐。请阅读使用条款了解更多信息。