| QSTFX Fund | | | USD 19.40 0.01 0.05% |
Quantified Stf coefficient-of-variation technical analysis lookup allows you to check this and other technical indicators for Quantified Stf Fund 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
Quantified Stf Fund has current Coefficient Of Variation of 628.45. Coefficient of Variation (or CV) is a normalized measure of dispersion of a probability distribution. It is also known as the variation coefficient or simply unitized risk. The absolute value of the Coefficient of Variation is sometimes called Relative Standard Deviation (or RSD), which is expressed as a percentage.
Coefficient Of Variation | = | STDER |
| = | 628.45 | |
Quantified Stf Coefficient Of Variation Peers Comparison
Quantified Coefficient Of Variation Relative To Other Indicators
Quantified Stf Fund is rated top fund in coefficient of variation among similar funds. It is currently under evaluation in maximum drawdown among similar funds reporting about
0.01 of Maximum Drawdown per Coefficient Of Variation. The ratio of Coefficient Of Variation to Maximum Drawdown for Quantified Stf Fund is roughly
82.96 CV is the measure of price and return dispersion, sometimes known as unitized risk or the variation coefficient. The CV is derived from the ratio of the standard deviation to the non-zero mean and the absolute value is taken for the mean to ensure it always positive. It is sometimes expressed as a percentage, in which case the CV is multiplied by 100. Coefficient of Variation for a single equity instrument describes the dispersion of price movement or daily returns. The higher the Coefficient of Variation, the greater the dispersion of prices, and the more riskier is the asset.
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.