Hurst Exponent Indicator

Description

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 either to regress strongly to the mean or to cluster in a direction. A value H in the range 0.5–1 indicates a time series with long-term positive autocorrelation, meaning both that a high value in the series will probably be followed by another high value and that the values a long time into the future will also tend to be high. A value in the range 0 – 0.5 indicates a time series with long-term switching between high and low values in adjacent pairs, meaning that a single high value will probably be followed by a low value and that the value after that will tend to be high, with this tendency to switch between high and low values lasting a long time into the future. A value of H=0.5 can indicate a completely uncorrelated series, but in fact it is the value applicable to series for which the autocorrelations at small time lags can be positive or negative but where the absolute values of the autocorrelations decay exponentially quickly to zero ( Wikipedia).

In trading, the Hurst exponent can hint whether the product is trending or ranging around the moving average:

  1. Whenever the Hurst’s value is 0 <= H < 0.5, it might mean the product is ranging around the moving average.
  2. Whenever the Hurst’s value is 0.5 < H <= 1, it might mean that the product is trending towards a specific direction, either long or short.
  3. Whenever the Hurst’s value is 0.5, this value means that the product is either ranging nor trending.

Usage

  1. Save the HurstExponent.ex4 under the Indicators folder.
  2. Attach the HurstExponent.ex4 indicator to any product, select how many historical points you would like to calculate and see the result in the sub chart (the more historical points you calculate, the longer you would have to wait until the output chart is ready, must be >=1).

As seen in the attached images, I attached the Hurst exponent to two daily charts, USDJPY & GBPUSD:

For USDJPY, Hurst exponent value equals 0.2090 which is in the mean reverting range. We can see clearly that USDJPY daily price is fluctuating around the 200 days moving average without an obvious trend.

For GBPUSD on the other hand, Hurst exponent value equals 0.6031 which is in the trending range. We can see clearly that GBPUSD daily price has an upward trend above the 200 days moving average following a downward trend.



© 2019 Roy Meshulam

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Period trend indicator calculates and displays the changes in: Trend Pips Standard Deviation Return (%) in the following periods - M1, M5, M15, M30, H1, H4, W1, MN1, MN3, MN6, Y1 and Year to Date.  By default, the current product is used, but it can any product when you attached the indicator to the chart.  I used extensively to monitor the product changes accross multiple charts wihtout having the need to open them in paralle.  2019 Roy Meshulam
In  finance , volatility (symbol σ) is the degree of variation of a trading price series over time as measured by the  standard deviation  of  logarithmic returns . Historic volatility measures a time series of past market prices.  Implied volatility  looks forward in time, being derived from the market price of a market-traded derivative (in particular, an option). In 2000 Yang-Zhang created a volatility measure that handles both opening jumps and drift. It is the sum of the overnight volatilit
The Chart Overlay indicator displays the price action of different products on the same chart, allowing you to evaluate how different symbols fluctuate relative to each other. You may use it to make trading decisions based on convergence / divergence of the displayed products, i.e. USDCAD - XTIUSD, EURUSD - USDCHF etc.  Usage Find overbought or oversold products Adapts to chart size, zoom and timeframe Automatic price level calculation Customizable colors Click 'c' to open underline product in s
What Is the Coppock Curve? The Coppock Curve is a long-term price momentum indicator used primarily to recognize major downturns and upturns in a stock market index. It is calculated as a 10-period weighted moving average of the sum of the 14-period rate of change and the 11-period rate of change for the index. It is also known as the "Coppock Guide." Example of How to Use the Coppock Curve Apply the Coppock Curve to a weekly/monthly price chart of a stock index or stock index exchange traded f
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