Percent Change Smoothed (PCT + EMA)
ROC works great on data with only positive numbers (like prices).
But it fails to correctly represent the rate of change when source series have negative values.
ROC is positive when:
Percent change (PCT) is just a ROC that deals with this sign confusion.
Anyone with Data Science backgroud would likely know about it.
PCT is positive only when:
When applying to only positive data PCT = ROC they are exactly equal.
I've also added EMA smoothing option.
Enjoy!
But it fails to correctly represent the rate of change when source series have negative values.
ROC is positive when:
- Source is positive AND Source is rising
- OR Source is negative AND Source is falling
Percent change (PCT) is just a ROC that deals with this sign confusion.
Anyone with Data Science backgroud would likely know about it.
PCT is positive only when:
- Source is rising
When applying to only positive data PCT = ROC they are exactly equal.
I've also added EMA smoothing option.
Enjoy!
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免责声明
这些信息和出版物并非旨在提供，也不构成TradingView提供或认可的任何形式的财务、投资、交易或其他类型的建议或推荐。请阅读使用条款了解更多信息。