Aluminumof China Standard Deviation
| ALMMF Pink Sheet | | | USD 1.51 0.06 4.14% |
Current and historical Standard Deviation readings for Aluminum of are documented here alongside peer-relative positioning. The reading carries more weight for instruments with deep, continuous trading histories. Use
Aluminumof China Volatility alongside
Aluminumof China Price History to build context for Aluminumof China.
Current Standard Deviation Value
Aluminumof China's Standard Deviation of 5.28 reflects elevated price variability. This places Aluminumof China toward the higher end of the volatility range for Pink Sheet.
Standard Deviation | = | SQRT(V) |
| = | 5.28 | |
Standard Deviation Peers Comparison
Relative to peers, Aluminumof China's Standard Deviation is above the group average of 3.43. Peer readings range from 2.3 (Klabin Sa A) to 4.84 (Nippon Steel), reflecting moderate dispersion across the sector. Aluminumof China has exhibited greater price dispersion than the peer average over the measured period.
Standard Deviation Relative To Other Indicators
The chart below plots Standard Deviation against Maximum Drawdown for Aluminum and its peers. Each point represents one equity — position along the horizontal axis shows Standard 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.
Aluminumof China records a Standard Deviation of
5.28 and a Maximum Drawdown of
25.94 , yielding roughly
4.91 units of Maximum Drawdown per Standard Deviation. This indicates Maximum Drawdown is significantly higher than Standard Deviation for Aluminumof China.
Methodology, Assumptions & Data Sources
Aluminumof China's Standard Deviation currently stands at 5.28. The Standard Deviation for Aluminumof China is produced by transforming raw price history into a standardized measure according to the indicator's defined methodology. 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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