Cellnex Telecom Mean Deviation
| CLLNY Pink Sheet | | | USD 16.73 0.12 0.72% |
The Mean Deviation for Cellnex Telecom is detailed below with current readings, historical data points, and sector comparisons. For Mean Deviation rankings and filtering across instruments, see
Equity Screeners.
Cellnex Telecom Volatility paired with
Cellnex Telecom Price History provides supplemental context on Cellnex Telecom.
Current Mean Deviation Value
At 1.73, Cellnex Telecom exhibits moderate price variability in Mean Deviation. This places Cellnex Telecom within the typical volatility range for Pink Sheet.
Mean Deviation | = | SUM(RET DEV)N |
| = | 1.73 | |
| SUM | = | Summation notation |
| RET DEV | = | Sum of return deviations of Cellnex Telecom |
| N | = | Number of calculation points for selected time horizon |
Mean Deviation Peers Comparison
Cellnex Telecom's Mean Deviation of 1.73 falls above the 1.56 peer average. Values range from 0.6668 (Telstra Limited) to 3.73 (Kuaishou Technology), with wide dispersion across the group. Cellnex Telecom 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 Cellnex Telecom 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.
Cellnex Telecom's Maximum Drawdown of
14.05 runs about
8.11 times its Mean Deviation of
1.73 . This indicates Maximum Drawdown substantially exceeds Mean Deviation for Cellnex Telecom.
Compare Cellnex Telecom to PeersMethodology, Assumptions & Data Sources
Cellnex Telecom has a current Mean Deviation reading of 1.73. This Mean Deviation reading for Cellnex Telecom results from applying the indicator's calculation rules to price and volume data over the selected window. Data sources include daily closing prices from supported exchanges, with standard corporate action adjustments applied. Indicator accuracy depends on data continuity across the calculation period. Gaps in trading history may affect the output.
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