Intelligent Alpha Mean Deviation
| GPT ETF | | | USD 33.32 0.09 0.27% |
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 Intelligent Alpha's current Mean Deviation with peer comparisons and related risk metrics.
Current Mean Deviation Value
The Mean Deviation of 1.13 for Intelligent Alpha indicates moderate price variability. This places Intelligent Alpha within the typical volatility range for ETF.
Mean Deviation | = | SUM(RET DEV)N |
| = | 1.13 | |
| SUM | = | Summation notation |
| RET DEV | = | Sum of return deviations of Intelligent Alpha |
| N | = | Number of calculation points for selected time horizon |
Mean Deviation Peers Comparison
Relative to peers, Intelligent Alpha's Mean Deviation is above the group average of 0.83. Peer readings range from 0.5329 (AIM ETF Products) to 1.06 (iShares MSCI Belgium), reflecting moderate dispersion across the sector. Intelligent Alpha 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 Intelligent Alpha 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.
Comparing Mean Deviation (
1.13 ) to Maximum Drawdown (
8.00 ) for Intelligent Alpha yields a
7.09 multiple. This indicates Maximum Drawdown substantially exceeds Mean Deviation for Intelligent Alpha.
Methodology, Assumptions & Data Sources
Intelligent Alpha has a current Mean Deviation reading of 1.13. The Mean Deviation for Intelligent Alpha is produced by transforming raw price history into a standardized measure according to the indicator's defined methodology. The underlying data comes from exchange-reported daily closes with corporate action adjustments applied where relevant. The output reflects the selected calculation window — changing the horizon will produce different readings. This ETF metric is provided for analytical reference.
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