Sangoma Technologies Mean Deviation
| STC Stock | | | 6.15 -0.01 -0.16% |
The Mean Deviation technical lookup provides context for Sangoma Technologies Corp and related instruments. Some instruments may have limited coverage due to data differences;
Equity Screeners lists screening tools. Sangoma Technologies has a market cap of 204.28 M, operating margin of -3.34%, ROE of -2.19%. See
World Market Map for portfolio-level analysis. The allocation includes a position in Sangoma Technologies Corp inside the allocation mix. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as
signals in metropolitan statistical area.
Sangoma Technologies Corp has current Mean Deviation of 1.36. 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 |
| = | 1.36 | |
| SUM | = | Summation notation |
| RET DEV | = | Sum of return deviations of Sangoma Technologies |
| N | = | Number of calculation points for selected time horizon |
Sangoma Technologies Mean Deviation Peers Comparison
Sangoma Mean Deviation Relative To Other Indicators
Sangoma Technologies Corp is rated
below average in mean deviation compared to key competitors. It is currently under evaluation in maximum drawdown compared to key competitors producing
5.28 in Maximum Drawdown for each unit of Mean Deviation. The spread between Maximum Drawdown and Mean Deviation for Sangoma Technologies Corp sits at
5.28 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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