First America Standard Deviation
| FSTJ Stock | | | USD 0.50 0.22 78.57% |
Historical market data for First America Resources forms the basis of the Standard Deviation indicator shown here. The indicator computation uses normalized market activity data. Market data gaps can influence the computed indicator values. First America has a market cap of 1.75 M. Review
Investing Opportunities for a broader allocation view. Current allocation data is available for review. The allocation includes a position in First America Resources. It is distributed across the allocation. The weighting is determined by the allocation framework in use. All figures are based on reported data and are informational in nature. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as
signals in real.
First America Resources has current Standard Deviation of 53.36. 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) |
| = | 53.36 | |
Standard Deviation Peers Comparison
Standard Deviation Relative To Other Indicators
First America Resources is the highest-ranked pink sheet in the standard deviation category versus peers. It is currently under evaluation in the maximum drawdown category versus peers showing
8.49 of Maximum Drawdown relative to Standard Deviation. For First America Resources, Maximum Drawdown measures
8.49 times Standard Deviation
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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