For good reason, CFB does not analyze time series data for dominant cycles. Classical cycle analysis examines data points (e.g. prices) and estimates the average presence of a cycle in the window. Now suppose a cycle with a period length of 9 days was strong for 50 days and then disappeared for the next 14 days. Because the cycle was present for 50 out of the last (50+14=64) days, the average presence of that cycle would be measured as "strong" even though it does not exist anymore!


CFB produces a value proportional to a time series' trend duration. This value is in units of TIME, as measured in bars on a chart. Because CFB's output is in units of time and not price, CFB offers a unique window into a new dimension for representing signal behavior.
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could someone please make this repainter cfb? it is possible according to the description of cfb that it may not repaint after the changes in calculation