Exponentially Weighted Moving Average (EWMA)
The Exponentially Weighted Moving Average (EWMA) is a quantitative or statistical measure used to model or describe a time series. The EWMA is widely used in finance, the main applications being technical analysis and volatility modeling.
The moving average is designed as such that older observations are given lower...
This indicator is for educational purposes to lay the groundwork for future closed/open source indicators. Some of thee future indicators will employ parameter estimation methods described below, others will require complex solvers such as the Nelder-Mead algorithm on log likelihood estimations to derive optimal parameter values for omega, gamma, alpha, and beta...
Volatility is the most common measure of risk.
Volatility in this sense can either be historical volatility (one observed from past data), or it could implied volatility (observed from market prices of financial instruments.)
The main objective of EWMA is to estimate the next-day (or period) volatility of a time series and closely track the volatility as it...
![XBTUSD.P: Exponentially Weighted Moving Average Oscillator [BackQuant]](https://s3.tradingview.com/n/NxSgOD8w_mid.png "Exponentially Weighted Moving Average Oscillator [BackQuant]")
![ES1!: HMA w/ SSE-Dynamic EWMA Volatility Bands [Loxx]](https://s3.tradingview.com/t/t9iZrp5c_mid.png "HMA w/ SSE-Dynamic EWMA Volatility Bands [Loxx]")
