AQ shows Mean Deviation of 3.28 and Risk Adjusted Performance of 0.01. AQ technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates 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 AQ which can be compared to its rivals. Please confirm AQInformation Ratio, and the relationship between Downside Deviation and Value At Risk to decide if AQ is priced correctly providing market reflects its regular price of 11.62 per share. Given that AQ has Jensen Alpha of 0.0, we suggest you validate AQ prevailing market performance to make sure the company can sustain itself at future point.
Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. 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 AQ 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.
AQ Trend Analysis
Use this graph to draw trend lines for AQ. You can use it to identify possible trend reversals for AQ 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 AQ price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.
AQ Best Fit Change Line
The following chart estimates an ordinary least squares regression model for AQ applied against its price change over selected period. The best fit line has a slop of 0.0025 % which may indicate that the price for AQ will continue to decline. It has 34 observation points and a regression sum of squares at 0.0, which is the sum of squared deviations for the predicted AQ price change compared to its average price change.
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