SemiLEDS Mean Deviation
| LEDS Stock | | | USD 1.11 -0.08 -6.72% |
The Mean Deviation reading for SemiLEDS is computed from historical trading observations. Each data point is derived from standardized price and volume feeds. SemiLEDS has a market cap of 20.14 M, operating margin of -0.35%, ROE of -14.74%. Use
Correlation Analysis to view allocation positioning. Allocation details are provided as informational context. Position-level data supports the allocation summary. This information is provided for contextual purposes. This includes a position in SemiLEDS. The allocation reflects this within the position set. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as
signals in discontinued.
For more information on how to buy SemiLEDS Stock please use our
How to Buy SemiLEDS Stock guide.
SemiLEDS has current Mean Deviation of 3.01. 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.
Mean Deviation | = | SUM(RET DEV)N |
| = | 3.01 | |
| SUM | = | Summation notation |
| RET DEV | = | Sum of return deviations of SemiLEDS |
| N | = | Number of calculation points for selected time horizon |
Mean Deviation Peers Comparison
Mean Deviation Relative To Other Indicators
SemiLEDS is rated
below average in mean deviation relative to competitors. It is currently under evaluation in maximum drawdown relative to competitors yielding
6.33 of Maximum Drawdown per Mean Deviation. For SemiLEDS, Maximum Drawdown stands at
6.33 times Mean Deviation
Mean Deviation is the average of the absolute values of the differences between price distribution numbers and their mean. Mean deviation of equity instrument with a lot of historical data is a biased estimator because the time horizon used in calculation will always be much smaller than the entire price history of the equity. The mean deviation is typically used as a measure of dispersion for small investment horizon, otherwise standard deviation is a better measure of dispersion.
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