LIC MF (India) Technical Analysis

    F0GBR06RY7 -- India Fund  

    INR 21.59  0.12  0.56%

    As of 22 of February LIC MF owns Mean Deviation of 0.1416, Downside Deviation of 0.211 and Market Risk Adjusted Performance of (0.24). LIC MF Gov Sec PF Gr technical analysis lets you operate past data 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 historical prices and volume patterns or the prices will eventually revert. We found nineteen technical drivers for LIC MF which can be compared to its peers in the sector. Please verify LIC MF Gov Coefficient Of Variation and the relationship between Jensen Alpha and Potential Upside to decide if LIC MF Gov Sec PF Gr is priced fairly providing market reflects its prevailing price of 21.59 per share.
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    LIC MF Gov Technical Analysis

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    LIC MF Gov Trend Analysis

    Use this graph to draw trend lines for LIC MF Gov Sec PF Gr. You can use it to identify possible trend reversals for LIC MF 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 LIC MF price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.

    LIC MF Best Fit Change Line

    The following chart estimates an ordinary least squares regression model for LIC MF Gov Sec PF Gr applied against its price change over selected period. The best fit line has a slop of 0.0012 % which may suggest that LIC MF Gov Sec PF Gr market price will keep on failing further. It has 78 observation points and a regression sum of squares at 0.01, which is the sum of squared deviations for the predicted LIC MF price change compared to its average price change.

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    LIC MF Market Strength

    LIC MF February 22, 2019 Daily Price Condition

    Additionally see Investing Opportunities. Please also try Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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