Intermap Technologies Standard Deviation
| IMP Stock | | | CAD 1.31 -0.02 -1.50% |
The Standard Deviation reading for Intermap Technologies Corp is computed from historical trading observations. Each data point is derived from standardized price and volume feeds. Indicator reliability depends on the continuity of available trading data. Intermap Technologies has a market cap of 93.27 M, operating margin of -82.06%, ROE of -14.02%. See
Risk vs Return Analysis for additional portfolio context. The allocation summary reflects available position data. Portfolio metrics are derived from available position data. This view summarizes available data without implying outcomes. This suggests a position in Intermap Technologies Corp. The position sits inside the allocation mix. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as
signals in inflation.
Intermap Technologies Corp has current Standard Deviation of 3.6. 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) |
| = | 3.6 | |
Standard Deviation Peers Comparison
Standard Deviation Relative To Other Indicators
Intermap Technologies Corp lands at
#5 in standard deviation compared to key competitors. It is currently under evaluation in maximum drawdown compared to key competitors producing
5.51 in Maximum Drawdown for each unit of Standard Deviation. The spread between Maximum Drawdown and Standard Deviation for Intermap Technologies Corp sits at
5.51 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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