As of 23 of October MFS Blended secures Mean Deviation of 0.7212, Market Risk Adjusted Performance of 0.0022 and Risk Adjusted Performance of 0.0039. MFS Blended Research Global Equ technical analysis lets you operate historical price patterns with an objective to determine a pattern that forecasts the direction of the organization future prices. Strictly speaking you can use this information to find out if the organization will indeed mirror its model of past prices or the prices will eventually revert. We found nineteen technical drivers for MFS Blended which can be compared to its peers in the industry. Please verify MFS Blended ResearchStandard Deviation, Value At Risk as well as the relationship between Value At Risk and Kurtosis to decide if MFS Blended Research Global Equ is priced more or less accurately providing market reflects its recent price of 11.84 per share.
The output start index for this execution was ten with a total number of output elements of fifty-one. The Normalized Average True Range is used to analyze tradable apportunities for MFS Blended Research across different markets. View also all equity analysis or get more info about normalized average true range volatility indicators indicator.
MFS Blended Research Trend Analysis
Use this graph to draw trend lines for MFS Blended Research Global Equ. You can use it to identify possible trend reversals for MFS Blended 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 MFS Blended price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.
MFS Blended Best Fit Change Line
The following chart estimates an ordinary least squares regression model for MFS Blended Research Global Equ applied against its price change over selected period. The best fit line has a slop of 0.006782 which means MFS Blended Research Global Equ will continue generating value for investors. It has 122 observation points and a regression sum of squares at 1.74, which is the sum of squared deviations for the predicted MFS Blended price change compared to its average price change.