Macroaxis technical analysis interface makes it possible for you to check helpful technical drivers of SBI Edge Fund as well as the relationship between them. In other words you can use this information to find out if the entity will indeed mirror its model of past prices and volume data or the prices will eventually revert. We found nineteen technical drivers for SBI Edge Fund Dir Gr which can be compared to its competition. Please validate SBI Edge Fund Mean Deviation and the relationship between Semi Deviation and Coefficient Of VariationMean Deviation, Downside Deviation, Standard Deviation, as well as the relationship between Semi Deviation and Coefficient Of Variation to decide if SBI Edge is priced correctly providing market reflects its prevalent price of 0.0 per share.
|Horizon||30 Days Login to change|
SBI Edge Fund Technical Analysis
We are not able to run technical analysis function on this symbol. We either do not have that equity or its historical data is not available at this time. Please try again later.
SBI Edge Fund Trend AnalysisUse this graph to draw trend lines for SBI Edge Fund Dir Gr. You can use it to identify possible trend reversals for SBI Edge 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 SBI Edge price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.
SBI Edge Best Fit Change LineThe following chart estimates an ordinary least squares regression model for SBI Edge Fund Dir Gr applied against its price change over selected period. The best fit line has a slop of ? % . It has 0 observation points and a regression sum of squares at 0.0, which is the sum of squared deviations for the predicted SBI Edge price change compared to its average price change.
Check effects of mean-variance optimization against your current asset allocation
|All Next||Launch Performance Analysis|
Check also Trending Equities. Please also try Price Transformation module to use price transformation models to analyze depth of different equity instruments across global markets.