SunOpta Mean Deviation
| SOY Stock | | | CAD 8.84 0.05 0.57% |
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 SunOpta's current Mean Deviation with peer comparisons and related risk metrics.
Current Mean Deviation Value
A Mean Deviation of 1.08 for SunOpta signals moderate price variability. This places SunOpta within the typical volatility range for Stock.
Mean Deviation | = | SUM(RET DEV)N |
| = | 1.08 | |
| SUM | = | Summation notation |
| RET DEV | = | Sum of return deviations of SunOpta |
| N | = | Number of calculation points for selected time horizon |
Mean Deviation Peers Comparison
SunOpta's Mean Deviation of 1.08 falls below the 1.77 peer average. Values range from 0.666 (Rogers Sugar) to 3.59 (Burcon NutraScience), with wide dispersion across the group. SunOpta has exhibited less 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 SunOpta 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.
SunOpta shows nearly
31.87 of Maximum Drawdown per unit of Mean Deviation (
1.08 versus
34.37 ). This indicates Maximum Drawdown substantially exceeds Mean Deviation for SunOpta.
Methodology, Assumptions & Data Sources
SunOpta's Mean Deviation currently stands at 1.08. SunOpta's Mean Deviation is computed from historical closing prices over the selected time horizon, applying the indicator's defined mathematical transformation to raw price data. Price data is sourced from standardized end-of-day feeds across supported exchanges, normalized for corporate actions. Indicator accuracy depends on data continuity across the calculation period. Gaps in trading history may affect the output.
Other Technical Indicators