| BST Etf | | | USD 36.68 0.23 0.63% |
BlackRock Science standard-deviation technical analysis lookup allows you to check this and other technical indicators for BlackRock Science Tech or any other equities. You can select from a set of available technical indicators by clicking on the link to the right. Please note, not all equities are covered by this module due to inconsistencies in global equity categorizations and data normalization technicques. Please check also
Equity Screeners to view more equity screening tools
BlackRock Science Tech has current Standard Deviation of 0.9593. 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) |
| = | 0.9593 | |
BlackRock Science Standard Deviation Peers Comparison
BlackRock Standard Deviation Relative To Other Indicators
BlackRock Science Tech is rated
below average in standard deviation as compared to similar ETFs. It is currently under evaluation in maximum drawdown as compared to similar ETFs reporting about
4.13 of Maximum Drawdown per Standard Deviation. The ratio of Maximum Drawdown to Standard Deviation for BlackRock Science Tech is roughly
4.13 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.
Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.