BTCUSDT This study is an experiment utilizing the Ehlers Gaussian Filter technique combined with lag reduction techniques and true range to analyze trend activity. // Gaussian filters, as Ehlers explains it, are simply exponential moving averages applied multiple times. // First, beta and alpha are calculated based on the sampling period and number of poles specified. The maximum number of poles available in this script is 9. // Next, the data being analyzed is given a truncation option for reduced lag, which can be enabled with "Reduced Lag Mode". // Then the alpha and source values are used to calculate the filter and filtered true range of the dataset. // Filtered true range with a specified multiplier is then added to and subtracted from the filter, generating a channel. // Lastly, a one pole filter with a N pole alpha is averaged with the filter to generate a faster filter, which can be enabled with "Fast Response Mode".
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