AB Municipal Income II Michigan C technical analysis gives you the methodology to make use of past data patterns to determine a pattern that approximates the direction of the entity future prices. Strictly speaking you can use this information to find out if the entity will indeed mirror its model of historical prices and volume patterns or the prices will eventually revert. We found nineteen technical drivers for AB Municipal which can be compared to its peers in the sector. Please confirm AB Municipal IncomeCoefficient Of Variation as well as the relationship between Treynor Ratio and Semi Variance to decide if AB Municipal Income II Michigan C is priced fairly providing market reflects its prevailing price of 10.03 per share.
The output start index for this execution was five with a total number of output elements of thirty-four. 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 AB Municipal Income 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.
AB Municipal Income Trend Analysis
Use this graph to draw trend lines for AB Municipal Income II Michigan C. You can use it to identify possible trend reversals for AB Municipal 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 AB Municipal price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.
AB Municipal Best Fit Change Line
The following chart estimates an ordinary least squares regression model for AB Municipal Income II Michigan C applied against its price change over selected period. The best fit line has a slop of 0.000109 % which may suggest that AB Municipal Income II Michigan C market price will keep on failing further. It has 78 observation points and a regression sum of squares at 0.0, which is the sum of squared deviations for the predicted AB Municipal price change compared to its average price change.
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