In stochastic processes, chaos theory and time series analysis, detrended fluctuation analysis (DFA) is a method for determining the statistical self-affinity of a signal. It is useful for analyzing time series that appear to be long-memory processes and noise. █ OVERVIEW We have introduced the concept of Hurst Exponent in our previous open indicator Hurst...

1564

The Hurst exponent is used as a measure of long-term memory of time series. It relates to the autocorrelations of the time series and the rate at which these decrease as the lag between pairs of values increases. The Hurst exponent is referred to as the "index of dependence" or "index of long-range dependence". It quantifies the relative tendency of a time series...

921

These 2 indicators are derivative work from Jim Hurst's book - "The Magic of Stock Transaction Timing". The bands are % bands around a median that gets calculated according to Hurst's formula. The outer bands (called ExtremeBands) signify extreme overbought/oversold conditions. Inner bands signify potential pullback points. As you can see, they also act as...

1376

Here's an oscillator derived from my previous script, Cycle Channel Clone (). There are 2 oscillator plots - fast & slow. Fast plot shows the price location with in the medium term channel, while slow plot shows the location of short term midline of cycle channel with respect to medium term channel. Usage of this is...

1602

Cycle Channel is loosely based on Hurst's nested channels. Basic idea is to identify and highlight the shorter cycles, in the context of higher degree cycles. This indicator plots the shorter term (red) & medium term (green) cycles as channels. Some things to note: As you can see the red channel keeps moving with in the bounds of green channel. When green...

2165

This study is an experiment designed to identify market phases using changes in an approximate Hurst Exponent. The exponent in this script is approximated using a simplified Rescaled Range method. First, deviations are calculated for the specified period, then the specified period divided by 2, 4, 8, and 16. Next, sums are taken of the deviations of each period,...

519

My first try to implement Full Hurst Exponent. The Hurst exponent is used as a measure of long-term memory of time series. It relates to the autocorrelations of the time series and the rate at which these decrease as the lag between pairs of values increases The Hurst exponent is referred to as the "index of dependence" or "index of long-range dependence". It...

284

Only way I found to plot hurst cycles. I gave up on anything other than daily chart. Published on request.

206

This is a simplified version of the Hurst Exponent indicator. In the meantime, I'm working on the full version. It's computationally intensive, so it's a challenge to squeeze it to PineScript limits. It will require some time to optimize it, so I decided to publish a simplified version for now. The Hurst exponent is used as a measure of long-term memory of time...

168

A %B of lazy bears Hurst Cycle Channel Clone Remember to thank him for his great scripts. With this you can easily see when the close is above,below or in the short or medium cycle channel.

91

The Hurst Coefficient was created by John Ehlers (Cycle Analytics For Traders pgs 67-68) and this is a very useful indicator to tell you if the stock is in a uptrend or downtrend. Feel free to change the length to experiment and to adjust to your needs. Buy when the indicator line is green and sell when it is red. Let me know if there are other indicators you...

179

This is an aproximation on Tradingview of the Hurst Exponent. Its quite computational expensive, so it has been simplify and sample size reduced. If any has an idea on how to create the real Hurst Exponent here, Ill be happy to hear and help.

57

Only way I found to plot hurst cycles. I gave up on anything other than daily chart. Published on request.

190

Level: 2 Background John F. Ehlers introuced Hurst Coefficient Indicator in his "Cycle Analytics for Traders" chapter 6 on 2013. Function The Hurst coefficient is one way to attempt to get a handle on the slope of the power density of market data. The Hurst coefficient varies between 0 and 1, and is related to the α power coefficient as H = 1 − α/2. The Hurst...

43