Hi, this script comes from the idea that Ricardo Santos' Minkovski Distance Function is transferred to the period as a factor.
Minkowski distance is used as a percentage factor with the help of Relative Strength Index function.
Minkowski Distance Function Script :
And thus an adaptive MACD was created.
This script can give much better results in more...
Method for Minkowski Distance,
The Minkowski distance or Minkowski metric is a metric in a normed vector space
which can be considered as a generalization of both the Euclidean distance and
the Manhattan distance.
It is named after the German mathematician Hermann Minkowski.
Hello. I've used stochastic indicator basic formula and added distance columns of %D & %K to it. The idea of columns is from MACD indicator that have distance columns in it that rising and descending these columns shows the power of trend rising or descending. I hope it will be practical and useful.
High-pass filter | Pine Utilities series, ready to be used in "study-on-study" fashion |
Represents the difference between the filter and the original unfiltered data.
How to use:
1) Add a filter to your chart (in this particular case it was 4-pole Gaussian filter implemented by @everget, ty man);
2) Tap ... on your's filter status line and choose "Add...
The Distance Coefficient Filter was created by John Ehlers and this is one of his more unknown moving averages. It works well because in an uptrend or downtrend it behaves more like a trailing stop system but it also deals with issues like pullbacks pretty quickly. I think it works well with the default values but let me know if you find a more profitable system....
copy pasted description..
Minkowski distance is a metric in a normed vector space. Minkowski distance is used for distance similarity of vector. Given two or more vectors, find distance similarity of these vectors.