Pulse Biosciences Mean Deviation
| PLSE Stock | | | USD 19.21 0.56 3.00% |
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 Pulse Biosciences's current Mean Deviation with peer comparisons and related risk metrics.
Current Mean Deviation Value
Pulse Biosciences has a Mean Deviation of 4.67, indicating elevated price variability. This places Pulse Biosciences toward the higher end of the volatility range for Stock.
Mean Deviation | = | SUM(RET DEV)N |
| = | 4.67 | |
| SUM | = | Summation notation |
| RET DEV | = | Sum of return deviations of Pulse Biosciences |
| N | = | Number of calculation points for selected time horizon |
Mean Deviation Peers Comparison
Among sector peers, Pulse Biosciences's Mean Deviation of 4.67 is above the 3.24 group average. The range runs from 1.74 (Opko Health) to 4.18 (Novocure). Pulse Biosciences 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 Pulse Biosciences 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
4.67 and Maximum Drawdown at
66.16 , Pulse Biosciences shows a
14.17 -to-one ratio between these indicators. This indicates Maximum Drawdown substantially exceeds Mean Deviation for Pulse Biosciences.
Methodology, Assumptions & Data Sources
The current Mean Deviation for Pulse Biosciences is 4.67. The Mean Deviation for Pulse Biosciences applies a standardized calculation to daily closing prices and, where applicable, volume data across the selected period. 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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