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 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 either to regress strongly to the mean or to cluster in a direction.
In short depend on value you can spot trending / reversing market.
- Values 0.5 to 1 - market trending
- Values 0 to 0.5 - market tend to mean revert
Please remember that past performance may not be indicative of future results.
Due to various factors, including changing market conditions, the strategy may no longer perform as good as in historical backtesting.
This post and the script don’t provide any financial advice.
진정한 TradingView의 정신에 따라, 이 스크립트의 작성자는 스크립트를 오픈소스로 게시했기에 거래자들이 이해하고 확인할 수 있습니다. 작가님께 건배! 스크립트를 무료로 사용할 수 있지만, 게시물에서 이 코드를 재사용하는 것은 하우스룰을 따릅니다. 당신은 스크립트를 차트에 사용하기 위해 그것을 즐겨찾기 할 수 있습니다.