AMG Managers Anchor 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 entity future prices. In plain English you can use this information to find out if the entity will indeed mirror its model of historical prices and volume momentum or the prices will eventually revert. We found nineteen technical drivers for AMG Managers Anchor Capital Enh Equity I which can be compared to its rivals. Please confirm AMG Managers AnchorMean Deviation, Information Ratio as well as the relationship between Information Ratio and Downside Variance to decide if AMG Managers Anchor is priced adequately providing market reflects its regular price of 9.15 per share.
The function did not generate any output. Please change time horizon or modify your input parameters. The output start index for this execution was one with a total number of output elements of sixteen. 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 AMG Managers Anchor 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.
AMG Managers Anchor Trend Analysis
Use this graph to draw trend lines for AMG Managers Anchor Capital Enh Equity I. You can use it to identify possible trend reversals for AMG Managers 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 AMG Managers price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.
AMG Managers Best Fit Change Line
The following chart estimates an ordinary least squares regression model for AMG Managers Anchor Capital Enh Equity I 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 AMG Managers price change compared to its average price change.
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