Factor determining how strongly identified signals affect subsequent calculations (0-1). At 0, signals don't influence the threshold. At 1, signals fully influence the threshold. Use higher values when signals may cause structural shifts in data trends.
The number of periods used for calculating the moving average and standard deviation. Controls how much data is smoothed and how adaptive the algorithm is to long-term changes. Higher values improve robustness for stationary data; lower values allow quicker adaptation to trends.
Optional normaliseThe number of standard deviations from the moving mean required to classify a new datapoint as a signal. Higher values decrease sensitivity (fewer signals); lower values increase sensitivity (more signals).
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Configuration for Z-Score based algorithms and peak detection