OPEN-SOURCE SCRIPT
Parkinson Historical Volatility

First off, a huge thank you to the following people:
theheirophant: tradingview.com/u/theheirophant/
alexgrover: tradingview.com/u/alexgrover/
NGBaltic: tradingview.com/u/NGBaltic/
The Parkinson Historical Volatility (PHV), developed in 1980 by the physicist Michael Parkinson, aims to estimate the volatility of returns for a random walk using the high and low in any particular period. An important use of the PHV is the assessment of the distribution prices during the day as well as a better understanding of the market dynamics. Comparing the PHV and a periodically sampled volatility helps traders understand the tendency towards mean reversion in the market as well as the distribution of stop-losses.
This script allows you to transform the volatility reading. The intention of this is to be able to compare volatility across different assets and timeframes. Having a relative reading of volatility also allows you to better gauge volatility within the context of current market conditions.
For the signal lie I chose a repulsion moving average to remove choppy crossovers of the estimator and the signal. This may have been a mistake, so in the near-future I might update so that the MA can be selected. Let me know if you have any opinions either way.
References
rdocumentation.org/packages/TTR/versions/0.23-4/topics/volatility
ivolatility.com/help/3.html
Want to Learn?
If you'd like the opportunity to learn Pine but you have difficulty finding resources to guide you, take a look at this rudimentary list: docs.google.com/document/d/10t3ZCQAd2dpdTGPYXDKk2hAM_BQ1Zm80tk0VGHViQc4/edit?usp=sharing
The list will be updated in the future as more people share the resources that have helped, or continue to help, them. Follow me on Twitter to keep up-to-date with the growing list of resources.
Suggestions or Questions?
Don't even kinda hesitate to forward them to me. My (metaphorical) door is always open.
theheirophant: tradingview.com/u/theheirophant/
alexgrover: tradingview.com/u/alexgrover/
NGBaltic: tradingview.com/u/NGBaltic/
The Parkinson Historical Volatility (PHV), developed in 1980 by the physicist Michael Parkinson, aims to estimate the volatility of returns for a random walk using the high and low in any particular period. An important use of the PHV is the assessment of the distribution prices during the day as well as a better understanding of the market dynamics. Comparing the PHV and a periodically sampled volatility helps traders understand the tendency towards mean reversion in the market as well as the distribution of stop-losses.
This script allows you to transform the volatility reading. The intention of this is to be able to compare volatility across different assets and timeframes. Having a relative reading of volatility also allows you to better gauge volatility within the context of current market conditions.
For the signal lie I chose a repulsion moving average to remove choppy crossovers of the estimator and the signal. This may have been a mistake, so in the near-future I might update so that the MA can be selected. Let me know if you have any opinions either way.
References
rdocumentation.org/packages/TTR/versions/0.23-4/topics/volatility
ivolatility.com/help/3.html
Want to Learn?
If you'd like the opportunity to learn Pine but you have difficulty finding resources to guide you, take a look at this rudimentary list: docs.google.com/document/d/10t3ZCQAd2dpdTGPYXDKk2hAM_BQ1Zm80tk0VGHViQc4/edit?usp=sharing
The list will be updated in the future as more people share the resources that have helped, or continue to help, them. Follow me on Twitter to keep up-to-date with the growing list of resources.
Suggestions or Questions?
Don't even kinda hesitate to forward them to me. My (metaphorical) door is always open.
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開源腳本
本著TradingView的真正精神,此腳本的創建者將其開源,以便交易者可以查看和驗證其功能。向作者致敬!雖然您可以免費使用它,但請記住,重新發佈程式碼必須遵守我們的網站規則。
免責聲明
這些資訊和出版物並不意味著也不構成TradingView提供或認可的金融、投資、交易或其他類型的意見或建議。請在使用條款閱讀更多資訊。