Adaptive Bollinger Bands [jwammo12]

2018年12月13日

This takes Ehler's work that dynamically finds the frequency of market cycles and applies it to the concept of Bollinger Bands.

First the dominant cycle length is found using Ehler's methods, this is then used as the length to the moving average and deviation.

I also ended up using an exponential average rather than a simple average for both the moving average center line and the sum of the squares when finding the deviation.

credit goes to LazyBear for coding Ehler's original ideas in pine, which I then used for this script.

2019年7月27日

發布通知

adds option for simple moving average. The simple moving average becomes very choppy because the period the calculation does not have the same smoothing component as exponential, but it is still interesting to look at