QC Technologies Variance
| QCLS Stock | | | 3.77 -0.07 -1.82% |
The Variance technical lookup provides context for QC Technologies and related instruments. Coverage depends on data availability and normalization;
Equity Screeners provides additional screening context. QC Technologies has a market cap of 31.57 M, ROE of -40.64%. Review
Your Equity Center for broader portfolio context. This reflects a position in QC Technologies in the portfolio view. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as
signals in board of governors.
Our
How to Invest in QC Technologies guide provides practical guidance on trading QCLS Stock.
QC Technologies has current Variance of 76.16. Variance is another measure of security risk that shows the amount of dispersion of equity returns around their mean value. Variance is calculated as the average squared deviations from the mean. Evaluating a set of investment alternatives one can use variance to help determine the volatility when purchasing a specific security. Similar to Standard Deviation, the variance is a measure of how far a set of numbers is spread out around its mean.
Variance | = | SUM(RET DEV)2N |
| = | 76.16 | |
| SUM | = | Summation notation |
| RET DEV | = | Actual returns deviation over selected period |
| N | = | Number of points for the period |
QC Technologies Variance Peers Comparison
QCLS Variance Relative To Other Indicators
QC Technologies is rated
below average. in variance category among its top competitors. It is currently under evaluation. in maximum drawdown category among its top competitors reporting about
0.64 of Maximum Drawdown per Variance. The ratio of Variance to Maximum Drawdown for QC Technologies is roughly
1.56 Variance is also a measure of stock volatility and can help determine the risk an investor might take on when purchasing a specific security. A relatively big variance indicates that the daily prices or returns are far from the mean and a small variance indicates that they are located around the mean.
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