As of 15 of September BNY Mellon shows Mean Deviation of 0.1638 and Risk Adjusted Performance of 0.0626. BNY Mellon Global 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 BNY Mellon Global Fixed Income which can be compared to its rivals. Please confirm BNY Mellon GlobalJensen Alpha and Downside Variance to decide if BNY Mellon Global is priced some-what accurately providing market reflects its regular price of 21.47 per share.
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. 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 BNY Mellon 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.
BNY Mellon Global Trend Analysis
Use this graph to draw trend lines for BNY Mellon Global Fixed Income. You can use it to identify possible trend reversals for BNY Mellon 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 BNY Mellon price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.
BNY Mellon Best Fit Change Line
The following chart estimates an ordinary least squares regression model for BNY Mellon Global Fixed Income applied against its price change over selected period. The best fit line has a slop of 0.009094 % which means BNY Mellon Global Fixed Income will continue generating value for investors. It has 122 observation points and a regression sum of squares at 3.13, which is the sum of squared deviations for the predicted BNY Mellon price change compared to its average price change.
BNY Mellon September 15, 2019 Technical Indicators