Global Environmtl technical analysis makes it possible for you to employ historical prices and volume momentum with intention to determine a pattern that calculates the direction of the corporation future prices. In other words you can use this information to find out if the corporation will indeed mirror its model of historical price patterns or the prices will eventually revert. We found nineteen technical drivers for Global Environmtl En which can be compared to its competitors. Please check out Global Environmtl EnJensen Alpha and the relationship between Value At Risk and Kurtosis to decide if Global Environmtl is priced fairly providing market reflects its last-minute price of 2.0E-4 per share. As Global Environmtl En appears to be a penny stock we also urge to confirm its Total Risk Alpha numbers.
The output start index for this execution was six with a total number of output elements of eleven. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Global Environmtl En volatility. High ATR values indicate high volatility, and low values indicate low volatility. View also all equity analysis or get more info about average true range volatility indicators indicator.
Global Environmtl En Trend Analysis
Use this graph to draw trend lines for Global Environmtl En. You can use it to identify possible trend reversals for Global Environmtl as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual Global Environmtl price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.
Global Environmtl Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Global Environmtl En applied against its price change over selected period. The best fit line has a slop of 0.00000257 % which means Global Environmtl En will continue generating value for investors. It has 34 observation points and a regression sum of squares at 0.0, which is the sum of squared deviations for the predicted Global Environmtl price change compared to its average price change.
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