Standard Biotools Standard Deviation
| LAB Stock | | | USD 0.96 -0.01 -1.06% |
The Standard Deviation calculation for Standard Biotools draws on price and volume history. Each data point is derived from standardized price and volume feeds. Standard Biotools has a market cap of 379.85 M, operating margin of -29.42%, current ratio of 5.87. Review
Correlation Analysis for a broader allocation view. Tracking Standard Biotools in a portfolio provides context for performance attribution. Position sizing depends on the allocation methodology selected for the portfolio. Broader economic conditions can influence Standard Biotools's company valuation — related indicators include
signals in nation.
For information on how to trade Standard Stock refer to our
How to Invest in Standard Biotools guide.
Standard Biotools has current Standard Deviation of 4.28. The Standard Deviation is a measure of how spread out the prices or returns of an asset are on average. It is the most widely used risk indicator in the field of investing and finance. Standard Deviation is commonly used to measure confidence in statistical conclusions regarding certain equity instruments or portfolios of equities.
Standard Deviation | = | SQRT(V) |
| = | 4.28 | |
Standard Deviation Peers Comparison
Standard Deviation Relative To Other Indicators
Standard Biotools is rated
second in standard deviation among leading competitors. It is currently under evaluation in maximum drawdown among leading competitors reporting about
6.31 of Maximum Drawdown per Standard Deviation. At
6.31 , Standard Biotools's Maximum Drawdown-to-Standard Deviation multiple reflects the spread between these metrics
Standard deviation is applied to the annual rate of return of an investment to measure the investment's volatility. Standard deviation is also known as historical volatility and is used by investors as a gauge for the amount of expected market volatility. A large standard deviation usually indicates that the data points are far from the mean and a small standard deviation indicates that they are clustered closely around the mean.
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