ANG Industries Limited shows Risk Adjusted Performance of 0.11 and Mean Deviation of 2.17. ANG Industries Limited 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 ANG Industries Limited which can be compared to its rivals. Please confirm ANG Industries LimitedVariance as well as the relationship between Value At Risk and Skewness to decide if ANG Industries Limited is priced adequately providing market reflects its regular price of 2.35 per share.
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 ANG Industries Limited 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.
ANG Industries Limited Trend Analysis
Use this graph to draw trend lines for ANG Industries Limited. You can use it to identify possible trend reversals for ANG Industries 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 ANG Industries price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.
ANG Industries Best Fit Change Line
The following chart estimates an ordinary least squares regression model for ANG Industries Limited applied against its price change over selected period. The best fit line has a slop of 0.01 % which may suggest that ANG Industries Limited market price will keep on failing further. It has 34 observation points and a regression sum of squares at 0.13, which is the sum of squared deviations for the predicted ANG Industries price change compared to its average price change.
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