IDFC UST (India) Technical Analysis Overview

    IDFCUSTQTDIV -- India Fund  

    INR 10.81  0.003  0.0277%

    IDFC UST Reg Qtr Div retains Semi Deviation of 0.1084, Market Risk Adjusted Performance of 0.1677 and Risk Adjusted Performance of 0.0265. IDFC UST technical analysis makes it possible for you to employ historical prices and volume momentum with intention to determine a pattern that calculates the direction of the entity future prices. In other words you can use this information to find out if the entity will indeed mirror its model of historical price patterns or the prices will eventually revert. We found nineteen technical drivers for IDFC UST Reg which can be compared to its competitors. Please check out IDFC UST Reg Variance as well as the relationship between Value At Risk and Skewness to decide if IDFC UST is priced more or less accurately providing market reflects its last-minute price of 10.81 per share.
    Horizon     30 Days    Login   to change

    IDFC UST Reg Technical Analysis

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    IDFC UST Reg Trend Analysis

    Use this graph to draw trend lines for IDFC UST Reg Qtr Div. You can use it to identify possible trend reversals for IDFC UST 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 IDFC UST price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.

    IDFC UST Best Fit Change Line

    The following chart estimates an ordinary least squares regression model for IDFC UST Reg Qtr Div applied against its price change over selected period. The best fit line has a slop of 0.00805 % which means IDFC UST Reg Qtr Div will continue generating value for investors. It has 34 observation points and a regression sum of squares at 0.05, which is the sum of squared deviations for the predicted IDFC UST price change compared to its average price change.

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    IDFC UST Market Strength

    IDFC UST September 19, 2018 Daily Price Condition

    Please also check Risk vs Return Analysis. Please also try Portfolio Diagnostics module to use generated alerts and portfolio events aggregator to diagnose current holdings.
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