Ehouse Global technical analysis allows you to utilize historical prices and volume patterns in order to determine a pattern that computes the direction of the firm future prices. In plain English you can use this information to find out if the firm will indeed mirror its model of historical prices and volume momentum or the prices will eventually revert. We found nineteen technical drivers for Ehouse Global which can be compared to its rivals. Please confirm Ehouse GlobalCoefficient Of Variation, Treynor Ratio as well as the relationship between Treynor Ratio and Semi Variance to decide if Ehouse Global is priced favorably providing market reflects its regular price of 1.0E-4 per share. As Ehouse Global appears to be a penny stock we also advise to verify 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 Ehouse Global 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.
Ehouse Global Trend Analysis
Use this graph to draw trend lines for Ehouse Global. You can use it to identify possible trend reversals for Ehouse Global 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 Ehouse Global price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.
Ehouse Global Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Ehouse Global applied against its price change over selected period. The best fit line has a slop of 0.00 % . It has 34 observation points and a regression sum of squares at 0.0, which is the sum of squared deviations for the predicted Ehouse Global price change compared to its average price change.
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