Semler Scientific Mean Deviation
| SMLRDelisted Delisted Stock | | | USD 355.43 0.00 0.00% |
Mean Deviation data for Semler Scientific is presented below, including the current value, historical progression, and peer context. Each update reflects the most recent end-of-day price data, adjusted for corporate actions. Review
Semler Scientific Volatility and
Semler Scientific Price History for a broader perspective on Semler Scientific.
Current Mean Deviation Value
Semler Scientific has a Mean Deviation of 49.98, indicating elevated price variability. This places Semler Scientific toward the higher end of the volatility range for Stock.
Mean Deviation | = | SUM(RET DEV)N |
| = | 49.98 | |
| SUM | = | Summation notation |
| RET DEV | = | Sum of return deviations of Semler Scientific |
| N | = | Number of calculation points for selected time horizon |
Mean Deviation Peers Comparison
Among sector peers, Semler Scientific's Mean Deviation of 49.98 is above the 3.1 group average. The range runs from 1.9 (SurModics) to 4.92 (Treace Medical Concepts). Semler Scientific 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 Semler Scientific 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.
Semler Scientific's Mean Deviation reads
49.98 while Maximum Drawdown reads
1,670 , a
33.41 ratio between the two. This indicates Maximum Drawdown substantially exceeds Mean Deviation for Semler Scientific.
Methodology, Assumptions & Data Sources
Semler Scientific has a current Mean Deviation reading of 49.98. This Mean Deviation reading for Semler Scientific results from applying the indicator's calculation rules to price and volume data over the selected window. 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.
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