Innovator ETFs Mean Deviation

XBOC ETF  USD 35.00  0.02  0.06%   
The mean deviation of the equity instrument is the first measure of the distances between each value of security historical prices and the mean. It gives us an idea of how spread out from the center the distribution of returns. Below is Innovator ETFs's current Mean Deviation with peer comparisons and related risk metrics.

Current Mean Deviation Value

At 0.44, Innovator ETFs exhibits low price variability in Mean Deviation. This places Innovator ETFs at the lower end of the volatility range for ETF.

Mean Deviation

 = 

SUM(RET DEV)

N

 = 
0.44
SUM = Summation notation
RET DEV = Sum of return deviations of Innovator ETFs
N = Number of calculation points for selected time horizon

Mean Deviation Peers Comparison

Relative to peers, Innovator ETFs's Mean Deviation is above the group average of 0.43. Peer readings range from 0.1654 (AllianzIM Equity Buffer20) to 0.8017 (ProShares SAMPP 500), reflecting wide dispersion across the sector. Innovator ETFs has exhibited greater price dispersion than the peer average over the measured period.

Mean Deviation Relative To Other Indicators

The chart below plots Mean Deviation against Maximum Drawdown for Innovator ETFs and its peers. Each point represents one equity — position along the horizontal axis shows Mean Deviation while the vertical axis shows Maximum Drawdown. Equities that cluster in different quadrants carry distinct risk-return profiles. Use the dropdowns to swap in other indicators for either axis.
With Mean Deviation at 0.44 and Maximum Drawdown at 2.34 , Innovator ETFs shows a 5.31 -to-one ratio between these indicators. This indicates Maximum Drawdown substantially exceeds Mean Deviation for Innovator ETFs.
Compare Innovator ETFs to Peers

Methodology, Assumptions & Data Sources

Innovator ETFs' Mean Deviation currently stands at 0.44. This Mean Deviation reading for Innovator ETFs results from applying the indicator's calculation rules to price and volume data over the selected window. All inputs are based on exchange-reported closing prices, with adjustments for stock splits, dividends, and other corporate actions. Indicator accuracy depends on data continuity across the calculation period. Gaps in trading history may affect the output.

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